Guest User

Untitled

a guest
Oct 17th, 2018
127
0
Never
Not a member of Pastebin yet? Sign Up, it unlocks many cool features!
text 2.80 MB | None | 0 0
  1. {
  2. "traceEvents": [
  3. {
  4. "name": "process_name",
  5. "ph": "M",
  6. "pid": 0,
  7. "args": {
  8. "name": "Allocators"
  9. }
  10. },
  11. {
  12. "name": "process_name",
  13. "ph": "M",
  14. "pid": 1,
  15. "args": {
  16. "name": "/device:GPU:0/stream:52 Compute"
  17. }
  18. },
  19. {
  20. "name": "process_name",
  21. "ph": "M",
  22. "pid": 2,
  23. "args": {
  24. "name": "/device:GPU:0/stream:52 Tensors"
  25. }
  26. },
  27. {
  28. "name": "process_name",
  29. "ph": "M",
  30. "pid": 3,
  31. "args": {
  32. "name": "/device:GPU:0/stream:7 Compute"
  33. }
  34. },
  35. {
  36. "name": "process_name",
  37. "ph": "M",
  38. "pid": 4,
  39. "args": {
  40. "name": "/device:GPU:0/stream:7 Tensors"
  41. }
  42. },
  43. {
  44. "name": "process_name",
  45. "ph": "M",
  46. "pid": 5,
  47. "args": {
  48. "name": "/device:GPU:0/stream:47 Compute"
  49. }
  50. },
  51. {
  52. "name": "process_name",
  53. "ph": "M",
  54. "pid": 6,
  55. "args": {
  56. "name": "/device:GPU:0/stream:47 Tensors"
  57. }
  58. },
  59. {
  60. "name": "process_name",
  61. "ph": "M",
  62. "pid": 7,
  63. "args": {
  64. "name": "/device:GPU:0/stream:58 Compute"
  65. }
  66. },
  67. {
  68. "name": "process_name",
  69. "ph": "M",
  70. "pid": 8,
  71. "args": {
  72. "name": "/device:GPU:0/stream:58 Tensors"
  73. }
  74. },
  75. {
  76. "name": "process_name",
  77. "ph": "M",
  78. "pid": 9,
  79. "args": {
  80. "name": "/device:GPU:0/stream:55 Compute"
  81. }
  82. },
  83. {
  84. "name": "process_name",
  85. "ph": "M",
  86. "pid": 10,
  87. "args": {
  88. "name": "/device:GPU:0/stream:55 Tensors"
  89. }
  90. },
  91. {
  92. "name": "process_name",
  93. "ph": "M",
  94. "pid": 11,
  95. "args": {
  96. "name": "/device:GPU:0/stream:46 Compute"
  97. }
  98. },
  99. {
  100. "name": "process_name",
  101. "ph": "M",
  102. "pid": 12,
  103. "args": {
  104. "name": "/device:GPU:0/stream:46 Tensors"
  105. }
  106. },
  107. {
  108. "name": "process_name",
  109. "ph": "M",
  110. "pid": 13,
  111. "args": {
  112. "name": "/device:GPU:0/stream:90 Compute"
  113. }
  114. },
  115. {
  116. "name": "process_name",
  117. "ph": "M",
  118. "pid": 14,
  119. "args": {
  120. "name": "/device:GPU:0/stream:90 Tensors"
  121. }
  122. },
  123. {
  124. "name": "process_name",
  125. "ph": "M",
  126. "pid": 15,
  127. "args": {
  128. "name": "/device:GPU:0/stream:all Compute"
  129. }
  130. },
  131. {
  132. "name": "process_name",
  133. "ph": "M",
  134. "pid": 16,
  135. "args": {
  136. "name": "/device:GPU:0/stream:all Tensors"
  137. }
  138. },
  139. {
  140. "name": "process_name",
  141. "ph": "M",
  142. "pid": 17,
  143. "args": {
  144. "name": "/job:localhost/replica:0/task:0/device:CPU:0 Compute"
  145. }
  146. },
  147. {
  148. "name": "process_name",
  149. "ph": "M",
  150. "pid": 18,
  151. "args": {
  152. "name": "/job:localhost/replica:0/task:0/device:CPU:0 Tensors"
  153. }
  154. },
  155. {
  156. "name": "process_name",
  157. "ph": "M",
  158. "pid": 19,
  159. "args": {
  160. "name": "/job:localhost/replica:0/task:0/device:GPU:3 Compute"
  161. }
  162. },
  163. {
  164. "name": "process_name",
  165. "ph": "M",
  166. "pid": 20,
  167. "args": {
  168. "name": "/job:localhost/replica:0/task:0/device:GPU:3 Tensors"
  169. }
  170. },
  171. {
  172. "name": "process_name",
  173. "ph": "M",
  174. "pid": 21,
  175. "args": {
  176. "name": "/device:GPU:0/stream:27 Compute"
  177. }
  178. },
  179. {
  180. "name": "process_name",
  181. "ph": "M",
  182. "pid": 22,
  183. "args": {
  184. "name": "/device:GPU:0/stream:27 Tensors"
  185. }
  186. },
  187. {
  188. "name": "process_name",
  189. "ph": "M",
  190. "pid": 23,
  191. "args": {
  192. "name": "/device:GPU:0/stream:54 Compute"
  193. }
  194. },
  195. {
  196. "name": "process_name",
  197. "ph": "M",
  198. "pid": 24,
  199. "args": {
  200. "name": "/device:GPU:0/stream:54 Tensors"
  201. }
  202. },
  203. {
  204. "name": "process_name",
  205. "ph": "M",
  206. "pid": 25,
  207. "args": {
  208. "name": "/device:GPU:0/stream:50 Compute"
  209. }
  210. },
  211. {
  212. "name": "process_name",
  213. "ph": "M",
  214. "pid": 26,
  215. "args": {
  216. "name": "/device:GPU:0/stream:50 Tensors"
  217. }
  218. },
  219. {
  220. "name": "process_name",
  221. "ph": "M",
  222. "pid": 27,
  223. "args": {
  224. "name": "/device:GPU:0/stream:60 Compute"
  225. }
  226. },
  227. {
  228. "name": "process_name",
  229. "ph": "M",
  230. "pid": 28,
  231. "args": {
  232. "name": "/device:GPU:0/stream:60 Tensors"
  233. }
  234. },
  235. {
  236. "name": "process_name",
  237. "ph": "M",
  238. "pid": 29,
  239. "args": {
  240. "name": "/device:GPU:0/stream:17 Compute"
  241. }
  242. },
  243. {
  244. "name": "process_name",
  245. "ph": "M",
  246. "pid": 30,
  247. "args": {
  248. "name": "/device:GPU:0/stream:17 Tensors"
  249. }
  250. },
  251. {
  252. "name": "process_name",
  253. "ph": "M",
  254. "pid": 31,
  255. "args": {
  256. "name": "/job:localhost/replica:0/task:0/device:GPU:2 Compute"
  257. }
  258. },
  259. {
  260. "name": "process_name",
  261. "ph": "M",
  262. "pid": 32,
  263. "args": {
  264. "name": "/job:localhost/replica:0/task:0/device:GPU:2 Tensors"
  265. }
  266. },
  267. {
  268. "name": "process_name",
  269. "ph": "M",
  270. "pid": 33,
  271. "args": {
  272. "name": "/device:GPU:0/stream:35 Compute"
  273. }
  274. },
  275. {
  276. "name": "process_name",
  277. "ph": "M",
  278. "pid": 34,
  279. "args": {
  280. "name": "/device:GPU:0/stream:35 Tensors"
  281. }
  282. },
  283. {
  284. "name": "process_name",
  285. "ph": "M",
  286. "pid": 35,
  287. "args": {
  288. "name": "/device:GPU:0/stream:48 Compute"
  289. }
  290. },
  291. {
  292. "name": "process_name",
  293. "ph": "M",
  294. "pid": 36,
  295. "args": {
  296. "name": "/device:GPU:0/stream:48 Tensors"
  297. }
  298. },
  299. {
  300. "name": "process_name",
  301. "ph": "M",
  302. "pid": 37,
  303. "args": {
  304. "name": "/device:GPU:0/stream:56 Compute"
  305. }
  306. },
  307. {
  308. "name": "process_name",
  309. "ph": "M",
  310. "pid": 38,
  311. "args": {
  312. "name": "/device:GPU:0/stream:56 Tensors"
  313. }
  314. },
  315. {
  316. "name": "process_name",
  317. "ph": "M",
  318. "pid": 39,
  319. "args": {
  320. "name": "/job:localhost/replica:0/task:0/device:GPU:1 Compute"
  321. }
  322. },
  323. {
  324. "name": "process_name",
  325. "ph": "M",
  326. "pid": 40,
  327. "args": {
  328. "name": "/job:localhost/replica:0/task:0/device:GPU:1 Tensors"
  329. }
  330. },
  331. {
  332. "name": "process_name",
  333. "ph": "M",
  334. "pid": 41,
  335. "args": {
  336. "name": "/job:localhost/replica:0/task:0/device:GPU:0 Compute"
  337. }
  338. },
  339. {
  340. "name": "process_name",
  341. "ph": "M",
  342. "pid": 42,
  343. "args": {
  344. "name": "/job:localhost/replica:0/task:0/device:GPU:0 Tensors"
  345. }
  346. },
  347. {
  348. "name": "process_name",
  349. "ph": "M",
  350. "pid": 43,
  351. "args": {
  352. "name": "/device:GPU:0/stream:102 Compute"
  353. }
  354. },
  355. {
  356. "name": "process_name",
  357. "ph": "M",
  358. "pid": 44,
  359. "args": {
  360. "name": "/device:GPU:0/stream:102 Tensors"
  361. }
  362. },
  363. {
  364. "name": "process_name",
  365. "ph": "M",
  366. "pid": 45,
  367. "args": {
  368. "name": "/device:GPU:0/stream:78 Compute"
  369. }
  370. },
  371. {
  372. "name": "process_name",
  373. "ph": "M",
  374. "pid": 46,
  375. "args": {
  376. "name": "/device:GPU:0/stream:78 Tensors"
  377. }
  378. },
  379. {
  380. "name": "process_name",
  381. "ph": "M",
  382. "pid": 47,
  383. "args": {
  384. "name": "/device:GPU:0/stream:66 Compute"
  385. }
  386. },
  387. {
  388. "name": "process_name",
  389. "ph": "M",
  390. "pid": 48,
  391. "args": {
  392. "name": "/device:GPU:0/stream:66 Tensors"
  393. }
  394. },
  395. {
  396. "name": "process_name",
  397. "ph": "M",
  398. "pid": 49,
  399. "args": {
  400. "name": "/device:GPU:0/stream:15 Compute"
  401. }
  402. },
  403. {
  404. "name": "process_name",
  405. "ph": "M",
  406. "pid": 50,
  407. "args": {
  408. "name": "/device:GPU:0/stream:15 Tensors"
  409. }
  410. },
  411. {
  412. "name": "process_name",
  413. "ph": "M",
  414. "pid": 51,
  415. "args": {
  416. "name": "/device:GPU:0/stream:25 Compute"
  417. }
  418. },
  419. {
  420. "name": "process_name",
  421. "ph": "M",
  422. "pid": 52,
  423. "args": {
  424. "name": "/device:GPU:0/stream:25 Tensors"
  425. }
  426. },
  427. {
  428. "name": "process_name",
  429. "ph": "M",
  430. "pid": 53,
  431. "args": {
  432. "name": "/device:GPU:0/stream:45 Compute"
  433. }
  434. },
  435. {
  436. "name": "process_name",
  437. "ph": "M",
  438. "pid": 54,
  439. "args": {
  440. "name": "/device:GPU:0/stream:45 Tensors"
  441. }
  442. },
  443. {
  444. "name": "process_name",
  445. "ph": "M",
  446. "pid": 55,
  447. "args": {
  448. "name": "/device:GPU:0/memcpy Compute"
  449. }
  450. },
  451. {
  452. "name": "process_name",
  453. "ph": "M",
  454. "pid": 56,
  455. "args": {
  456. "name": "/device:GPU:0/memcpy Tensors"
  457. }
  458. },
  459. {
  460. "name": "process_name",
  461. "ph": "M",
  462. "pid": 57,
  463. "args": {
  464. "name": "/device:GPU:0/stream:37 Compute"
  465. }
  466. },
  467. {
  468. "name": "process_name",
  469. "ph": "M",
  470. "pid": 58,
  471. "args": {
  472. "name": "/device:GPU:0/stream:37 Tensors"
  473. }
  474. },
  475. {
  476. "name": "process_name",
  477. "ph": "M",
  478. "pid": 59,
  479. "args": {
  480. "name": "/device:GPU:0/stream:51 Compute"
  481. }
  482. },
  483. {
  484. "name": "process_name",
  485. "ph": "M",
  486. "pid": 60,
  487. "args": {
  488. "name": "/device:GPU:0/stream:51 Tensors"
  489. }
  490. },
  491. {
  492. "name": "process_name",
  493. "ph": "M",
  494. "pid": 61,
  495. "args": {
  496. "name": "/device:GPU:0/stream:59 Compute"
  497. }
  498. },
  499. {
  500. "name": "process_name",
  501. "ph": "M",
  502. "pid": 62,
  503. "args": {
  504. "name": "/device:GPU:0/stream:59 Tensors"
  505. }
  506. },
  507. {
  508. "name": "process_name",
  509. "ph": "M",
  510. "pid": 63,
  511. "args": {
  512. "name": "/device:GPU:0/stream:49 Compute"
  513. }
  514. },
  515. {
  516. "name": "process_name",
  517. "ph": "M",
  518. "pid": 64,
  519. "args": {
  520. "name": "/device:GPU:0/stream:49 Tensors"
  521. }
  522. },
  523. {
  524. "ph": "X",
  525. "cat": "Op",
  526. "name": "MEMCPYDtoH",
  527. "pid": 1,
  528. "tid": 0,
  529. "ts": 1539815916982294,
  530. "dur": 4,
  531. "args": {
  532. "name": "edge_1017_tower_1/loss/activation_1_loss/Mean",
  533. "op": "MEMCPYDtoH"
  534. }
  535. },
  536. {
  537. "ph": "X",
  538. "cat": "Op",
  539. "name": "FusedBatchNorm",
  540. "pid": 3,
  541. "tid": 0,
  542. "ts": 1539815916892345,
  543. "dur": 2,
  544. "args": {
  545. "name": "batch_normalization/FusedBatchNorm",
  546. "op": "FusedBatchNorm"
  547. }
  548. },
  549. {
  550. "ph": "X",
  551. "cat": "Op",
  552. "name": "MEMCPYHtoD",
  553. "pid": 3,
  554. "tid": 0,
  555. "ts": 1539815917559612,
  556. "dur": 2,
  557. "args": {
  558. "name": "unknown",
  559. "op": "MEMCPYHtoD"
  560. }
  561. },
  562. {
  563. "ph": "X",
  564. "cat": "Op",
  565. "name": "MEMCPYHtoD",
  566. "pid": 3,
  567. "tid": 0,
  568. "ts": 1539815917559623,
  569. "dur": 2,
  570. "args": {
  571. "name": "unknown",
  572. "op": "MEMCPYHtoD"
  573. }
  574. },
  575. {
  576. "ph": "X",
  577. "cat": "Op",
  578. "name": "MEMCPYHtoD",
  579. "pid": 3,
  580. "tid": 0,
  581. "ts": 1539815917559634,
  582. "dur": 1,
  583. "args": {
  584. "name": "unknown",
  585. "op": "MEMCPYHtoD"
  586. }
  587. },
  588. {
  589. "ph": "X",
  590. "cat": "Op",
  591. "name": "MEMCPYHtoD",
  592. "pid": 3,
  593. "tid": 0,
  594. "ts": 1539815917559643,
  595. "dur": 2,
  596. "args": {
  597. "name": "unknown",
  598. "op": "MEMCPYHtoD"
  599. }
  600. },
  601. {
  602. "ph": "X",
  603. "cat": "Op",
  604. "name": "MEMCPYHtoD",
  605. "pid": 3,
  606. "tid": 0,
  607. "ts": 1539815917559654,
  608. "dur": 1,
  609. "args": {
  610. "name": "unknown",
  611. "op": "MEMCPYHtoD"
  612. }
  613. },
  614. {
  615. "ph": "X",
  616. "cat": "Op",
  617. "name": "MEMCPYHtoD",
  618. "pid": 3,
  619. "tid": 0,
  620. "ts": 1539815917559664,
  621. "dur": 2,
  622. "args": {
  623. "name": "unknown",
  624. "op": "MEMCPYHtoD"
  625. }
  626. },
  627. {
  628. "ph": "X",
  629. "cat": "Op",
  630. "name": "MEMCPYHtoD",
  631. "pid": 3,
  632. "tid": 0,
  633. "ts": 1539815917559674,
  634. "dur": 1,
  635. "args": {
  636. "name": "unknown",
  637. "op": "MEMCPYHtoD"
  638. }
  639. },
  640. {
  641. "ph": "X",
  642. "cat": "Op",
  643. "name": "MEMCPYHtoD",
  644. "pid": 3,
  645. "tid": 0,
  646. "ts": 1539815917559683,
  647. "dur": 2,
  648. "args": {
  649. "name": "unknown",
  650. "op": "MEMCPYHtoD"
  651. }
  652. },
  653. {
  654. "ph": "X",
  655. "cat": "Op",
  656. "name": "MEMCPYHtoD",
  657. "pid": 3,
  658. "tid": 0,
  659. "ts": 1539815917559694,
  660. "dur": 2,
  661. "args": {
  662. "name": "unknown",
  663. "op": "MEMCPYHtoD"
  664. }
  665. },
  666. {
  667. "ph": "X",
  668. "cat": "Op",
  669. "name": "MEMCPYHtoD",
  670. "pid": 5,
  671. "tid": 0,
  672. "ts": 1539815912104677,
  673. "dur": 21,
  674. "args": {
  675. "name": "ret_0",
  676. "op": "MEMCPYHtoD"
  677. }
  678. },
  679. {
  680. "ph": "X",
  681. "cat": "Op",
  682. "name": "MEMCPYHtoD",
  683. "pid": 5,
  684. "tid": 0,
  685. "ts": 1539815912104766,
  686. "dur": 2,
  687. "args": {
  688. "name": "ret_1",
  689. "op": "MEMCPYHtoD"
  690. }
  691. },
  692. {
  693. "ph": "X",
  694. "cat": "Op",
  695. "name": "MEMCPYHtoD",
  696. "pid": 5,
  697. "tid": 0,
  698. "ts": 1539815912105938,
  699. "dur": 20,
  700. "args": {
  701. "name": "ret_0",
  702. "op": "MEMCPYHtoD"
  703. }
  704. },
  705. {
  706. "ph": "X",
  707. "cat": "Op",
  708. "name": "MEMCPYHtoD",
  709. "pid": 5,
  710. "tid": 0,
  711. "ts": 1539815912105976,
  712. "dur": 1,
  713. "args": {
  714. "name": "ret_1",
  715. "op": "MEMCPYHtoD"
  716. }
  717. },
  718. {
  719. "ph": "X",
  720. "cat": "Op",
  721. "name": "MEMCPYHtoD",
  722. "pid": 5,
  723. "tid": 0,
  724. "ts": 1539815916983796,
  725. "dur": 2,
  726. "args": {
  727. "name": "edge_1025_training/TFOptimizer/gradients/loss/activation_1_loss/Mean_grad/Prod",
  728. "op": "MEMCPYHtoD"
  729. }
  730. },
  731. {
  732. "ph": "X",
  733. "cat": "Op",
  734. "name": "Cast",
  735. "pid": 7,
  736. "tid": 0,
  737. "ts": 1539815912107269,
  738. "dur": 7,
  739. "args": {
  740. "name": "tower_3/Cast",
  741. "op": "Cast"
  742. }
  743. },
  744. {
  745. "ph": "X",
  746. "cat": "Op",
  747. "name": "Cast",
  748. "pid": 7,
  749. "tid": 0,
  750. "ts": 1539815912107329,
  751. "dur": 3,
  752. "args": {
  753. "name": "tower_3/Cast_1",
  754. "op": "Cast"
  755. }
  756. },
  757. {
  758. "ph": "X",
  759. "cat": "Op",
  760. "name": "Cast",
  761. "pid": 7,
  762. "tid": 0,
  763. "ts": 1539815912107434,
  764. "dur": 3,
  765. "args": {
  766. "name": "tower_3/loss/activation_1_loss/Cast",
  767. "op": "Cast"
  768. }
  769. },
  770. {
  771. "ph": "X",
  772. "cat": "Op",
  773. "name": "FusedBatchNorm",
  774. "pid": 7,
  775. "tid": 0,
  776. "ts": 1539815916895212,
  777. "dur": 162,
  778. "args": {
  779. "name": "tower_3/batch_normalization/FusedBatchNorm",
  780. "op": "FusedBatchNorm"
  781. }
  782. },
  783. {
  784. "ph": "X",
  785. "cat": "Op",
  786. "name": "Sub",
  787. "pid": 7,
  788. "tid": 0,
  789. "ts": 1539815916895414,
  790. "dur": 4,
  791. "args": {
  792. "name": "tower_3/batch_normalization/AssignMovingAvg/sub_1",
  793. "op": "Sub"
  794. }
  795. },
  796. {
  797. "ph": "X",
  798. "cat": "Op",
  799. "name": "Sub",
  800. "pid": 7,
  801. "tid": 0,
  802. "ts": 1539815916895450,
  803. "dur": 4,
  804. "args": {
  805. "name": "tower_3/batch_normalization/AssignMovingAvg_1/sub_1",
  806. "op": "Sub"
  807. }
  808. },
  809. {
  810. "ph": "X",
  811. "cat": "Op",
  812. "name": "Conv2D",
  813. "pid": 7,
  814. "tid": 0,
  815. "ts": 1539815916895525,
  816. "dur": 5,
  817. "args": {
  818. "name": "tower_3/conv2d/Conv2D",
  819. "op": "Conv2D"
  820. }
  821. },
  822. {
  823. "ph": "X",
  824. "cat": "Op",
  825. "name": "Conv2D",
  826. "pid": 7,
  827. "tid": 0,
  828. "ts": 1539815916897992,
  829. "dur": 258,
  830. "args": {
  831. "name": "tower_3/conv2d/Conv2D",
  832. "op": "Conv2D"
  833. }
  834. },
  835. {
  836. "ph": "X",
  837. "cat": "Op",
  838. "name": "Conv2D",
  839. "pid": 7,
  840. "tid": 0,
  841. "ts": 1539815916898304,
  842. "dur": 260,
  843. "args": {
  844. "name": "tower_3/conv2d/Conv2D",
  845. "op": "Conv2D"
  846. }
  847. },
  848. {
  849. "ph": "X",
  850. "cat": "Op",
  851. "name": "Conv2D",
  852. "pid": 7,
  853. "tid": 0,
  854. "ts": 1539815916903476,
  855. "dur": 4,
  856. "args": {
  857. "name": "tower_3/conv2d/Conv2D",
  858. "op": "Conv2D"
  859. }
  860. },
  861. {
  862. "ph": "X",
  863. "cat": "Op",
  864. "name": "Conv2D",
  865. "pid": 7,
  866. "tid": 0,
  867. "ts": 1539815916903499,
  868. "dur": 105,
  869. "args": {
  870. "name": "tower_3/conv2d/Conv2D",
  871. "op": "Conv2D"
  872. }
  873. },
  874. {
  875. "ph": "X",
  876. "cat": "Op",
  877. "name": "Conv2D",
  878. "pid": 7,
  879. "tid": 0,
  880. "ts": 1539815916903666,
  881. "dur": 4,
  882. "args": {
  883. "name": "tower_3/conv2d/Conv2D",
  884. "op": "Conv2D"
  885. }
  886. },
  887. {
  888. "ph": "X",
  889. "cat": "Op",
  890. "name": "Conv2D",
  891. "pid": 7,
  892. "tid": 0,
  893. "ts": 1539815916903680,
  894. "dur": 103,
  895. "args": {
  896. "name": "tower_3/conv2d/Conv2D",
  897. "op": "Conv2D"
  898. }
  899. },
  900. {
  901. "ph": "X",
  902. "cat": "Op",
  903. "name": "Conv2D",
  904. "pid": 7,
  905. "tid": 0,
  906. "ts": 1539815916903836,
  907. "dur": 35,
  908. "args": {
  909. "name": "tower_3/conv2d/Conv2D",
  910. "op": "Conv2D"
  911. }
  912. },
  913. {
  914. "ph": "X",
  915. "cat": "Op",
  916. "name": "Conv2D",
  917. "pid": 7,
  918. "tid": 0,
  919. "ts": 1539815916903881,
  920. "dur": 243,
  921. "args": {
  922. "name": "tower_3/conv2d/Conv2D",
  923. "op": "Conv2D"
  924. }
  925. },
  926. {
  927. "ph": "X",
  928. "cat": "Op",
  929. "name": "Conv2D",
  930. "pid": 7,
  931. "tid": 0,
  932. "ts": 1539815916904175,
  933. "dur": 36,
  934. "args": {
  935. "name": "tower_3/conv2d/Conv2D",
  936. "op": "Conv2D"
  937. }
  938. },
  939. {
  940. "ph": "X",
  941. "cat": "Op",
  942. "name": "Conv2D",
  943. "pid": 7,
  944. "tid": 0,
  945. "ts": 1539815916904215,
  946. "dur": 240,
  947. "args": {
  948. "name": "tower_3/conv2d/Conv2D",
  949. "op": "Conv2D"
  950. }
  951. },
  952. {
  953. "ph": "X",
  954. "cat": "Op",
  955. "name": "Conv2D",
  956. "pid": 7,
  957. "tid": 0,
  958. "ts": 1539815916904565,
  959. "dur": 4,
  960. "args": {
  961. "name": "tower_3/conv2d/Conv2D",
  962. "op": "Conv2D"
  963. }
  964. },
  965. {
  966. "ph": "X",
  967. "cat": "Op",
  968. "name": "Conv2D",
  969. "pid": 7,
  970. "tid": 0,
  971. "ts": 1539815916904582,
  972. "dur": 16,
  973. "args": {
  974. "name": "tower_3/conv2d/Conv2D",
  975. "op": "Conv2D"
  976. }
  977. },
  978. {
  979. "ph": "X",
  980. "cat": "Op",
  981. "name": "Conv2D",
  982. "pid": 7,
  983. "tid": 0,
  984. "ts": 1539815916904627,
  985. "dur": 4,
  986. "args": {
  987. "name": "tower_3/conv2d/Conv2D",
  988. "op": "Conv2D"
  989. }
  990. },
  991. {
  992. "ph": "X",
  993. "cat": "Op",
  994. "name": "Conv2D",
  995. "pid": 7,
  996. "tid": 0,
  997. "ts": 1539815916905404,
  998. "dur": 110,
  999. "args": {
  1000. "name": "tower_3/conv2d/Conv2D",
  1001. "op": "Conv2D"
  1002. }
  1003. },
  1004. {
  1005. "ph": "X",
  1006. "cat": "Op",
  1007. "name": "Conv2D",
  1008. "pid": 7,
  1009. "tid": 0,
  1010. "ts": 1539815916905518,
  1011. "dur": 186,
  1012. "args": {
  1013. "name": "tower_3/conv2d/Conv2D",
  1014. "op": "Conv2D"
  1015. }
  1016. },
  1017. {
  1018. "ph": "X",
  1019. "cat": "Op",
  1020. "name": "Conv2D",
  1021. "pid": 7,
  1022. "tid": 0,
  1023. "ts": 1539815916905760,
  1024. "dur": 4,
  1025. "args": {
  1026. "name": "tower_3/conv2d/Conv2D",
  1027. "op": "Conv2D"
  1028. }
  1029. },
  1030. {
  1031. "ph": "X",
  1032. "cat": "Op",
  1033. "name": "Conv2D",
  1034. "pid": 7,
  1035. "tid": 0,
  1036. "ts": 1539815916905772,
  1037. "dur": 15,
  1038. "args": {
  1039. "name": "tower_3/conv2d/Conv2D",
  1040. "op": "Conv2D"
  1041. }
  1042. },
  1043. {
  1044. "ph": "X",
  1045. "cat": "Op",
  1046. "name": "Conv2D",
  1047. "pid": 7,
  1048. "tid": 0,
  1049. "ts": 1539815916905816,
  1050. "dur": 4,
  1051. "args": {
  1052. "name": "tower_3/conv2d/Conv2D",
  1053. "op": "Conv2D"
  1054. }
  1055. },
  1056. {
  1057. "ph": "X",
  1058. "cat": "Op",
  1059. "name": "Conv2D",
  1060. "pid": 7,
  1061. "tid": 0,
  1062. "ts": 1539815916905830,
  1063. "dur": 108,
  1064. "args": {
  1065. "name": "tower_3/conv2d/Conv2D",
  1066. "op": "Conv2D"
  1067. }
  1068. },
  1069. {
  1070. "ph": "X",
  1071. "cat": "Op",
  1072. "name": "Conv2D",
  1073. "pid": 7,
  1074. "tid": 0,
  1075. "ts": 1539815916905942,
  1076. "dur": 185,
  1077. "args": {
  1078. "name": "tower_3/conv2d/Conv2D",
  1079. "op": "Conv2D"
  1080. }
  1081. },
  1082. {
  1083. "ph": "X",
  1084. "cat": "Op",
  1085. "name": "Conv2D",
  1086. "pid": 7,
  1087. "tid": 0,
  1088. "ts": 1539815916906208,
  1089. "dur": 17,
  1090. "args": {
  1091. "name": "tower_3/conv2d/Conv2D",
  1092. "op": "Conv2D"
  1093. }
  1094. },
  1095. {
  1096. "ph": "X",
  1097. "cat": "Op",
  1098. "name": "Conv2D",
  1099. "pid": 7,
  1100. "tid": 0,
  1101. "ts": 1539815916907343,
  1102. "dur": 17,
  1103. "args": {
  1104. "name": "tower_3/conv2d/Conv2D",
  1105. "op": "Conv2D"
  1106. }
  1107. },
  1108. {
  1109. "ph": "X",
  1110. "cat": "Op",
  1111. "name": "Conv2D",
  1112. "pid": 7,
  1113. "tid": 0,
  1114. "ts": 1539815916907752,
  1115. "dur": 27,
  1116. "args": {
  1117. "name": "tower_3/conv2d/Conv2D",
  1118. "op": "Conv2D"
  1119. }
  1120. },
  1121. {
  1122. "ph": "X",
  1123. "cat": "Op",
  1124. "name": "Conv2D",
  1125. "pid": 7,
  1126. "tid": 0,
  1127. "ts": 1539815916907782,
  1128. "dur": 6,
  1129. "args": {
  1130. "name": "tower_3/conv2d/Conv2D",
  1131. "op": "Conv2D"
  1132. }
  1133. },
  1134. {
  1135. "ph": "X",
  1136. "cat": "Op",
  1137. "name": "Conv2D",
  1138. "pid": 7,
  1139. "tid": 0,
  1140. "ts": 1539815916907793,
  1141. "dur": 238,
  1142. "args": {
  1143. "name": "tower_3/conv2d/Conv2D",
  1144. "op": "Conv2D"
  1145. }
  1146. },
  1147. {
  1148. "ph": "X",
  1149. "cat": "Op",
  1150. "name": "Conv2D",
  1151. "pid": 7,
  1152. "tid": 0,
  1153. "ts": 1539815916908034,
  1154. "dur": 568,
  1155. "args": {
  1156. "name": "tower_3/conv2d/Conv2D",
  1157. "op": "Conv2D"
  1158. }
  1159. },
  1160. {
  1161. "ph": "X",
  1162. "cat": "Op",
  1163. "name": "Conv2D",
  1164. "pid": 7,
  1165. "tid": 0,
  1166. "ts": 1539815916908646,
  1167. "dur": 27,
  1168. "args": {
  1169. "name": "tower_3/conv2d/Conv2D",
  1170. "op": "Conv2D"
  1171. }
  1172. },
  1173. {
  1174. "ph": "X",
  1175. "cat": "Op",
  1176. "name": "Conv2D",
  1177. "pid": 7,
  1178. "tid": 0,
  1179. "ts": 1539815916908676,
  1180. "dur": 6,
  1181. "args": {
  1182. "name": "tower_3/conv2d/Conv2D",
  1183. "op": "Conv2D"
  1184. }
  1185. },
  1186. {
  1187. "ph": "X",
  1188. "cat": "Op",
  1189. "name": "Conv2D",
  1190. "pid": 7,
  1191. "tid": 0,
  1192. "ts": 1539815916908687,
  1193. "dur": 237,
  1194. "args": {
  1195. "name": "tower_3/conv2d/Conv2D",
  1196. "op": "Conv2D"
  1197. }
  1198. },
  1199. {
  1200. "ph": "X",
  1201. "cat": "Op",
  1202. "name": "Conv2D",
  1203. "pid": 7,
  1204. "tid": 0,
  1205. "ts": 1539815916908927,
  1206. "dur": 566,
  1207. "args": {
  1208. "name": "tower_3/conv2d/Conv2D",
  1209. "op": "Conv2D"
  1210. }
  1211. },
  1212. {
  1213. "ph": "X",
  1214. "cat": "Op",
  1215. "name": "Conv2D",
  1216. "pid": 7,
  1217. "tid": 0,
  1218. "ts": 1539815916910636,
  1219. "dur": 4,
  1220. "args": {
  1221. "name": "tower_3/conv2d/Conv2D",
  1222. "op": "Conv2D"
  1223. }
  1224. },
  1225. {
  1226. "ph": "X",
  1227. "cat": "Op",
  1228. "name": "Conv2D",
  1229. "pid": 7,
  1230. "tid": 0,
  1231. "ts": 1539815916910669,
  1232. "dur": 104,
  1233. "args": {
  1234. "name": "tower_3/conv2d/Conv2D",
  1235. "op": "Conv2D"
  1236. }
  1237. },
  1238. {
  1239. "ph": "X",
  1240. "cat": "Op",
  1241. "name": "Mul",
  1242. "pid": 7,
  1243. "tid": 0,
  1244. "ts": 1539815916910829,
  1245. "dur": 5,
  1246. "args": {
  1247. "name": "tower_3/batch_normalization/AssignMovingAvg/mul",
  1248. "op": "Mul"
  1249. }
  1250. },
  1251. {
  1252. "ph": "X",
  1253. "cat": "Op",
  1254. "name": "Mul",
  1255. "pid": 7,
  1256. "tid": 0,
  1257. "ts": 1539815916910863,
  1258. "dur": 3,
  1259. "args": {
  1260. "name": "tower_3/batch_normalization/AssignMovingAvg_1/mul",
  1261. "op": "Mul"
  1262. }
  1263. },
  1264. {
  1265. "ph": "X",
  1266. "cat": "Op",
  1267. "name": "BiasAdd",
  1268. "pid": 7,
  1269. "tid": 0,
  1270. "ts": 1539815916910898,
  1271. "dur": 165,
  1272. "args": {
  1273. "name": "tower_3/conv2d/BiasAdd",
  1274. "op": "BiasAdd"
  1275. }
  1276. },
  1277. {
  1278. "ph": "X",
  1279. "cat": "Op",
  1280. "name": "AssignSubVariableOp",
  1281. "pid": 7,
  1282. "tid": 0,
  1283. "ts": 1539815916913217,
  1284. "dur": 4,
  1285. "args": {
  1286. "name": "tower_3/batch_normalization/AssignMovingAvg/AssignSubVariableOp",
  1287. "op": "AssignSubVariableOp"
  1288. }
  1289. },
  1290. {
  1291. "ph": "X",
  1292. "cat": "Op",
  1293. "name": "AssignSubVariableOp",
  1294. "pid": 7,
  1295. "tid": 0,
  1296. "ts": 1539815916913270,
  1297. "dur": 4,
  1298. "args": {
  1299. "name": "tower_3/batch_normalization/AssignMovingAvg_1/AssignSubVariableOp",
  1300. "op": "AssignSubVariableOp"
  1301. }
  1302. },
  1303. {
  1304. "ph": "X",
  1305. "cat": "Op",
  1306. "name": "Elu",
  1307. "pid": 7,
  1308. "tid": 0,
  1309. "ts": 1539815916913359,
  1310. "dur": 137,
  1311. "args": {
  1312. "name": "tower_3/conv2d/Elu",
  1313. "op": "Elu"
  1314. }
  1315. },
  1316. {
  1317. "ph": "X",
  1318. "cat": "Op",
  1319. "name": "MaxPool",
  1320. "pid": 7,
  1321. "tid": 0,
  1322. "ts": 1539815916915102,
  1323. "dur": 100,
  1324. "args": {
  1325. "name": "tower_3/max_pooling2d/MaxPool",
  1326. "op": "MaxPool"
  1327. }
  1328. },
  1329. {
  1330. "ph": "X",
  1331. "cat": "Op",
  1332. "name": "Mul",
  1333. "pid": 7,
  1334. "tid": 0,
  1335. "ts": 1539815916915205,
  1336. "dur": 33,
  1337. "args": {
  1338. "name": "tower_3/dropout/dropout/div",
  1339. "op": "Mul"
  1340. }
  1341. },
  1342. {
  1343. "ph": "X",
  1344. "cat": "Op",
  1345. "name": "RandomUniform",
  1346. "pid": 7,
  1347. "tid": 0,
  1348. "ts": 1539815916915243,
  1349. "dur": 22,
  1350. "args": {
  1351. "name": "tower_3/dropout/dropout/random_uniform/RandomUniform",
  1352. "op": "RandomUniform"
  1353. }
  1354. },
  1355. {
  1356. "ph": "X",
  1357. "cat": "Op",
  1358. "name": "Add",
  1359. "pid": 7,
  1360. "tid": 0,
  1361. "ts": 1539815916915302,
  1362. "dur": 35,
  1363. "args": {
  1364. "name": "tower_3/dropout/dropout/add",
  1365. "op": "Add"
  1366. }
  1367. },
  1368. {
  1369. "ph": "X",
  1370. "cat": "Op",
  1371. "name": "Floor",
  1372. "pid": 7,
  1373. "tid": 0,
  1374. "ts": 1539815916915341,
  1375. "dur": 36,
  1376. "args": {
  1377. "name": "tower_3/dropout/dropout/Floor",
  1378. "op": "Floor"
  1379. }
  1380. },
  1381. {
  1382. "ph": "X",
  1383. "cat": "Op",
  1384. "name": "Transpose",
  1385. "pid": 7,
  1386. "tid": 0,
  1387. "ts": 1539815916918245,
  1388. "dur": 39,
  1389. "args": {
  1390. "name": "tower_3/dropout/dropout/mul-1-TransposeNHWCToNCHW-LayoutOptimizer",
  1391. "op": "Transpose"
  1392. }
  1393. },
  1394. {
  1395. "ph": "X",
  1396. "cat": "Op",
  1397. "name": "Mul",
  1398. "pid": 7,
  1399. "tid": 0,
  1400. "ts": 1539815916918335,
  1401. "dur": 51,
  1402. "args": {
  1403. "name": "tower_3/dropout/dropout/mul",
  1404. "op": "Mul"
  1405. }
  1406. },
  1407. {
  1408. "ph": "X",
  1409. "cat": "Op",
  1410. "name": "FusedBatchNorm",
  1411. "pid": 7,
  1412. "tid": 0,
  1413. "ts": 1539815916918398,
  1414. "dur": 94,
  1415. "args": {
  1416. "name": "tower_3/batch_normalization_1/FusedBatchNorm",
  1417. "op": "FusedBatchNorm"
  1418. }
  1419. },
  1420. {
  1421. "ph": "X",
  1422. "cat": "Op",
  1423. "name": "Sub",
  1424. "pid": 7,
  1425. "tid": 0,
  1426. "ts": 1539815916918495,
  1427. "dur": 4,
  1428. "args": {
  1429. "name": "tower_3/batch_normalization_1/AssignMovingAvg/sub_1",
  1430. "op": "Sub"
  1431. }
  1432. },
  1433. {
  1434. "ph": "X",
  1435. "cat": "Op",
  1436. "name": "Sub",
  1437. "pid": 7,
  1438. "tid": 0,
  1439. "ts": 1539815916918504,
  1440. "dur": 4,
  1441. "args": {
  1442. "name": "tower_3/batch_normalization_1/AssignMovingAvg_1/sub_1",
  1443. "op": "Sub"
  1444. }
  1445. },
  1446. {
  1447. "ph": "X",
  1448. "cat": "Op",
  1449. "name": "Conv2D",
  1450. "pid": 7,
  1451. "tid": 0,
  1452. "ts": 1539815916918511,
  1453. "dur": 9,
  1454. "args": {
  1455. "name": "tower_3/conv2d_1/Conv2D",
  1456. "op": "Conv2D"
  1457. }
  1458. },
  1459. {
  1460. "ph": "X",
  1461. "cat": "Op",
  1462. "name": "Conv2D",
  1463. "pid": 7,
  1464. "tid": 0,
  1465. "ts": 1539815916918554,
  1466. "dur": 2137,
  1467. "args": {
  1468. "name": "tower_3/conv2d_1/Conv2D",
  1469. "op": "Conv2D"
  1470. }
  1471. },
  1472. {
  1473. "ph": "X",
  1474. "cat": "Op",
  1475. "name": "Conv2D",
  1476. "pid": 7,
  1477. "tid": 0,
  1478. "ts": 1539815916920745,
  1479. "dur": 2144,
  1480. "args": {
  1481. "name": "tower_3/conv2d_1/Conv2D",
  1482. "op": "Conv2D"
  1483. }
  1484. },
  1485. {
  1486. "ph": "X",
  1487. "cat": "Op",
  1488. "name": "Conv2D",
  1489. "pid": 7,
  1490. "tid": 0,
  1491. "ts": 1539815916922952,
  1492. "dur": 4,
  1493. "args": {
  1494. "name": "tower_3/conv2d_1/Conv2D",
  1495. "op": "Conv2D"
  1496. }
  1497. },
  1498. {
  1499. "ph": "X",
  1500. "cat": "Op",
  1501. "name": "Conv2D",
  1502. "pid": 7,
  1503. "tid": 0,
  1504. "ts": 1539815916922969,
  1505. "dur": 1924,
  1506. "args": {
  1507. "name": "tower_3/conv2d_1/Conv2D",
  1508. "op": "Conv2D"
  1509. }
  1510. },
  1511. {
  1512. "ph": "X",
  1513. "cat": "Op",
  1514. "name": "Conv2D",
  1515. "pid": 7,
  1516. "tid": 0,
  1517. "ts": 1539815916924950,
  1518. "dur": 4,
  1519. "args": {
  1520. "name": "tower_3/conv2d_1/Conv2D",
  1521. "op": "Conv2D"
  1522. }
  1523. },
  1524. {
  1525. "ph": "X",
  1526. "cat": "Op",
  1527. "name": "Conv2D",
  1528. "pid": 7,
  1529. "tid": 0,
  1530. "ts": 1539815916924966,
  1531. "dur": 1921,
  1532. "args": {
  1533. "name": "tower_3/conv2d_1/Conv2D",
  1534. "op": "Conv2D"
  1535. }
  1536. },
  1537. {
  1538. "ph": "X",
  1539. "cat": "Op",
  1540. "name": "Conv2D",
  1541. "pid": 7,
  1542. "tid": 0,
  1543. "ts": 1539815916926936,
  1544. "dur": 607,
  1545. "args": {
  1546. "name": "tower_3/conv2d_1/Conv2D",
  1547. "op": "Conv2D"
  1548. }
  1549. },
  1550. {
  1551. "ph": "X",
  1552. "cat": "Op",
  1553. "name": "Conv2D",
  1554. "pid": 7,
  1555. "tid": 0,
  1556. "ts": 1539815916927553,
  1557. "dur": 1972,
  1558. "args": {
  1559. "name": "tower_3/conv2d_1/Conv2D",
  1560. "op": "Conv2D"
  1561. }
  1562. },
  1563. {
  1564. "ph": "X",
  1565. "cat": "Op",
  1566. "name": "Conv2D",
  1567. "pid": 7,
  1568. "tid": 0,
  1569. "ts": 1539815916929572,
  1570. "dur": 605,
  1571. "args": {
  1572. "name": "tower_3/conv2d_1/Conv2D",
  1573. "op": "Conv2D"
  1574. }
  1575. },
  1576. {
  1577. "ph": "X",
  1578. "cat": "Op",
  1579. "name": "Conv2D",
  1580. "pid": 7,
  1581. "tid": 0,
  1582. "ts": 1539815916930180,
  1583. "dur": 1965,
  1584. "args": {
  1585. "name": "tower_3/conv2d_1/Conv2D",
  1586. "op": "Conv2D"
  1587. }
  1588. },
  1589. {
  1590. "ph": "X",
  1591. "cat": "Op",
  1592. "name": "Conv2D",
  1593. "pid": 7,
  1594. "tid": 0,
  1595. "ts": 1539815916932218,
  1596. "dur": 17,
  1597. "args": {
  1598. "name": "tower_3/conv2d_1/Conv2D",
  1599. "op": "Conv2D"
  1600. }
  1601. },
  1602. {
  1603. "ph": "X",
  1604. "cat": "Op",
  1605. "name": "Conv2D",
  1606. "pid": 7,
  1607. "tid": 0,
  1608. "ts": 1539815916932238,
  1609. "dur": 68,
  1610. "args": {
  1611. "name": "tower_3/conv2d_1/Conv2D",
  1612. "op": "Conv2D"
  1613. }
  1614. },
  1615. {
  1616. "ph": "X",
  1617. "cat": "Op",
  1618. "name": "Conv2D",
  1619. "pid": 7,
  1620. "tid": 0,
  1621. "ts": 1539815916932476,
  1622. "dur": 4,
  1623. "args": {
  1624. "name": "tower_3/conv2d_1/Conv2D",
  1625. "op": "Conv2D"
  1626. }
  1627. },
  1628. {
  1629. "ph": "X",
  1630. "cat": "Op",
  1631. "name": "Conv2D",
  1632. "pid": 7,
  1633. "tid": 0,
  1634. "ts": 1539815916932484,
  1635. "dur": 764,
  1636. "args": {
  1637. "name": "tower_3/conv2d_1/Conv2D",
  1638. "op": "Conv2D"
  1639. }
  1640. },
  1641. {
  1642. "ph": "X",
  1643. "cat": "Op",
  1644. "name": "Conv2D",
  1645. "pid": 7,
  1646. "tid": 0,
  1647. "ts": 1539815916933252,
  1648. "dur": 260,
  1649. "args": {
  1650. "name": "tower_3/conv2d_1/Conv2D",
  1651. "op": "Conv2D"
  1652. }
  1653. },
  1654. {
  1655. "ph": "X",
  1656. "cat": "Op",
  1657. "name": "Conv2D",
  1658. "pid": 7,
  1659. "tid": 0,
  1660. "ts": 1539815916933558,
  1661. "dur": 17,
  1662. "args": {
  1663. "name": "tower_3/conv2d_1/Conv2D",
  1664. "op": "Conv2D"
  1665. }
  1666. },
  1667. {
  1668. "ph": "X",
  1669. "cat": "Op",
  1670. "name": "Conv2D",
  1671. "pid": 7,
  1672. "tid": 0,
  1673. "ts": 1539815916933580,
  1674. "dur": 64,
  1675. "args": {
  1676. "name": "tower_3/conv2d_1/Conv2D",
  1677. "op": "Conv2D"
  1678. }
  1679. },
  1680. {
  1681. "ph": "X",
  1682. "cat": "Op",
  1683. "name": "Conv2D",
  1684. "pid": 7,
  1685. "tid": 0,
  1686. "ts": 1539815916933820,
  1687. "dur": 4,
  1688. "args": {
  1689. "name": "tower_3/conv2d_1/Conv2D",
  1690. "op": "Conv2D"
  1691. }
  1692. },
  1693. {
  1694. "ph": "X",
  1695. "cat": "Op",
  1696. "name": "Conv2D",
  1697. "pid": 7,
  1698. "tid": 0,
  1699. "ts": 1539815916933829,
  1700. "dur": 766,
  1701. "args": {
  1702. "name": "tower_3/conv2d_1/Conv2D",
  1703. "op": "Conv2D"
  1704. }
  1705. },
  1706. {
  1707. "ph": "X",
  1708. "cat": "Op",
  1709. "name": "Conv2D",
  1710. "pid": 7,
  1711. "tid": 0,
  1712. "ts": 1539815916934599,
  1713. "dur": 259,
  1714. "args": {
  1715. "name": "tower_3/conv2d_1/Conv2D",
  1716. "op": "Conv2D"
  1717. }
  1718. },
  1719. {
  1720. "ph": "X",
  1721. "cat": "Op",
  1722. "name": "Conv2D",
  1723. "pid": 7,
  1724. "tid": 0,
  1725. "ts": 1539815916934936,
  1726. "dur": 67,
  1727. "args": {
  1728. "name": "tower_3/conv2d_1/Conv2D",
  1729. "op": "Conv2D"
  1730. }
  1731. },
  1732. {
  1733. "ph": "X",
  1734. "cat": "Op",
  1735. "name": "Conv2D",
  1736. "pid": 7,
  1737. "tid": 0,
  1738. "ts": 1539815916936143,
  1739. "dur": 67,
  1740. "args": {
  1741. "name": "tower_3/conv2d_1/Conv2D",
  1742. "op": "Conv2D"
  1743. }
  1744. },
  1745. {
  1746. "ph": "X",
  1747. "cat": "Op",
  1748. "name": "Conv2D",
  1749. "pid": 7,
  1750. "tid": 0,
  1751. "ts": 1539815916937340,
  1752. "dur": 175,
  1753. "args": {
  1754. "name": "tower_3/conv2d_1/Conv2D",
  1755. "op": "Conv2D"
  1756. }
  1757. },
  1758. {
  1759. "ph": "X",
  1760. "cat": "Op",
  1761. "name": "Conv2D",
  1762. "pid": 7,
  1763. "tid": 0,
  1764. "ts": 1539815916937518,
  1765. "dur": 16,
  1766. "args": {
  1767. "name": "tower_3/conv2d_1/Conv2D",
  1768. "op": "Conv2D"
  1769. }
  1770. },
  1771. {
  1772. "ph": "X",
  1773. "cat": "Op",
  1774. "name": "Conv2D",
  1775. "pid": 7,
  1776. "tid": 0,
  1777. "ts": 1539815916937538,
  1778. "dur": 247,
  1779. "args": {
  1780. "name": "tower_3/conv2d_1/Conv2D",
  1781. "op": "Conv2D"
  1782. }
  1783. },
  1784. {
  1785. "ph": "X",
  1786. "cat": "Op",
  1787. "name": "Conv2D",
  1788. "pid": 7,
  1789. "tid": 0,
  1790. "ts": 1539815916937788,
  1791. "dur": 286,
  1792. "args": {
  1793. "name": "tower_3/conv2d_1/Conv2D",
  1794. "op": "Conv2D"
  1795. }
  1796. },
  1797. {
  1798. "ph": "X",
  1799. "cat": "Op",
  1800. "name": "Conv2D",
  1801. "pid": 7,
  1802. "tid": 0,
  1803. "ts": 1539815916938118,
  1804. "dur": 169,
  1805. "args": {
  1806. "name": "tower_3/conv2d_1/Conv2D",
  1807. "op": "Conv2D"
  1808. }
  1809. },
  1810. {
  1811. "ph": "X",
  1812. "cat": "Op",
  1813. "name": "Conv2D",
  1814. "pid": 7,
  1815. "tid": 0,
  1816. "ts": 1539815916938292,
  1817. "dur": 16,
  1818. "args": {
  1819. "name": "tower_3/conv2d_1/Conv2D",
  1820. "op": "Conv2D"
  1821. }
  1822. },
  1823. {
  1824. "ph": "X",
  1825. "cat": "Op",
  1826. "name": "Conv2D",
  1827. "pid": 7,
  1828. "tid": 0,
  1829. "ts": 1539815916938312,
  1830. "dur": 247,
  1831. "args": {
  1832. "name": "tower_3/conv2d_1/Conv2D",
  1833. "op": "Conv2D"
  1834. }
  1835. },
  1836. {
  1837. "ph": "X",
  1838. "cat": "Op",
  1839. "name": "Conv2D",
  1840. "pid": 7,
  1841. "tid": 0,
  1842. "ts": 1539815916938564,
  1843. "dur": 277,
  1844. "args": {
  1845. "name": "tower_3/conv2d_1/Conv2D",
  1846. "op": "Conv2D"
  1847. }
  1848. },
  1849. {
  1850. "ph": "X",
  1851. "cat": "Op",
  1852. "name": "Conv2D",
  1853. "pid": 7,
  1854. "tid": 0,
  1855. "ts": 1539815916938886,
  1856. "dur": 176,
  1857. "args": {
  1858. "name": "tower_3/conv2d_1/Conv2D",
  1859. "op": "Conv2D"
  1860. }
  1861. },
  1862. {
  1863. "ph": "X",
  1864. "cat": "Op",
  1865. "name": "Conv2D",
  1866. "pid": 7,
  1867. "tid": 0,
  1868. "ts": 1539815916939065,
  1869. "dur": 16,
  1870. "args": {
  1871. "name": "tower_3/conv2d_1/Conv2D",
  1872. "op": "Conv2D"
  1873. }
  1874. },
  1875. {
  1876. "ph": "X",
  1877. "cat": "Op",
  1878. "name": "Conv2D",
  1879. "pid": 7,
  1880. "tid": 0,
  1881. "ts": 1539815916939085,
  1882. "dur": 248,
  1883. "args": {
  1884. "name": "tower_3/conv2d_1/Conv2D",
  1885. "op": "Conv2D"
  1886. }
  1887. },
  1888. {
  1889. "ph": "X",
  1890. "cat": "Op",
  1891. "name": "Conv2D",
  1892. "pid": 7,
  1893. "tid": 0,
  1894. "ts": 1539815916939337,
  1895. "dur": 284,
  1896. "args": {
  1897. "name": "tower_3/conv2d_1/Conv2D",
  1898. "op": "Conv2D"
  1899. }
  1900. },
  1901. {
  1902. "ph": "X",
  1903. "cat": "Op",
  1904. "name": "Mul",
  1905. "pid": 7,
  1906. "tid": 0,
  1907. "ts": 1539815916939625,
  1908. "dur": 4,
  1909. "args": {
  1910. "name": "tower_3/batch_normalization_1/AssignMovingAvg/mul",
  1911. "op": "Mul"
  1912. }
  1913. },
  1914. {
  1915. "ph": "X",
  1916. "cat": "Op",
  1917. "name": "Mul",
  1918. "pid": 7,
  1919. "tid": 0,
  1920. "ts": 1539815916939633,
  1921. "dur": 4,
  1922. "args": {
  1923. "name": "tower_3/batch_normalization_1/AssignMovingAvg_1/mul",
  1924. "op": "Mul"
  1925. }
  1926. },
  1927. {
  1928. "ph": "X",
  1929. "cat": "Op",
  1930. "name": "BiasAdd",
  1931. "pid": 7,
  1932. "tid": 0,
  1933. "ts": 1539815916939640,
  1934. "dur": 86,
  1935. "args": {
  1936. "name": "tower_3/conv2d_1/BiasAdd",
  1937. "op": "BiasAdd"
  1938. }
  1939. },
  1940. {
  1941. "ph": "X",
  1942. "cat": "Op",
  1943. "name": "AssignSubVariableOp",
  1944. "pid": 7,
  1945. "tid": 0,
  1946. "ts": 1539815916939736,
  1947. "dur": 3,
  1948. "args": {
  1949. "name": "tower_3/batch_normalization_1/AssignMovingAvg/AssignSubVariableOp",
  1950. "op": "AssignSubVariableOp"
  1951. }
  1952. },
  1953. {
  1954. "ph": "X",
  1955. "cat": "Op",
  1956. "name": "AssignSubVariableOp",
  1957. "pid": 7,
  1958. "tid": 0,
  1959. "ts": 1539815916939747,
  1960. "dur": 4,
  1961. "args": {
  1962. "name": "tower_3/batch_normalization_1/AssignMovingAvg_1/AssignSubVariableOp",
  1963. "op": "AssignSubVariableOp"
  1964. }
  1965. },
  1966. {
  1967. "ph": "X",
  1968. "cat": "Op",
  1969. "name": "Elu",
  1970. "pid": 7,
  1971. "tid": 0,
  1972. "ts": 1539815916939754,
  1973. "dur": 70,
  1974. "args": {
  1975. "name": "tower_3/conv2d_1/Elu",
  1976. "op": "Elu"
  1977. }
  1978. },
  1979. {
  1980. "ph": "X",
  1981. "cat": "Op",
  1982. "name": "MaxPool",
  1983. "pid": 7,
  1984. "tid": 0,
  1985. "ts": 1539815916939829,
  1986. "dur": 57,
  1987. "args": {
  1988. "name": "tower_3/max_pooling2d_1/MaxPool",
  1989. "op": "MaxPool"
  1990. }
  1991. },
  1992. {
  1993. "ph": "X",
  1994. "cat": "Op",
  1995. "name": "Mul",
  1996. "pid": 7,
  1997. "tid": 0,
  1998. "ts": 1539815916939890,
  1999. "dur": 16,
  2000. "args": {
  2001. "name": "tower_3/dropout_1/dropout/div",
  2002. "op": "Mul"
  2003. }
  2004. },
  2005. {
  2006. "ph": "X",
  2007. "cat": "Op",
  2008. "name": "RandomUniform",
  2009. "pid": 7,
  2010. "tid": 0,
  2011. "ts": 1539815916939909,
  2012. "dur": 15,
  2013. "args": {
  2014. "name": "tower_3/dropout_1/dropout/random_uniform/RandomUniform",
  2015. "op": "RandomUniform"
  2016. }
  2017. },
  2018. {
  2019. "ph": "X",
  2020. "cat": "Op",
  2021. "name": "Add",
  2022. "pid": 7,
  2023. "tid": 0,
  2024. "ts": 1539815916939929,
  2025. "dur": 16,
  2026. "args": {
  2027. "name": "tower_3/dropout_1/dropout/add",
  2028. "op": "Add"
  2029. }
  2030. },
  2031. {
  2032. "ph": "X",
  2033. "cat": "Op",
  2034. "name": "Floor",
  2035. "pid": 7,
  2036. "tid": 0,
  2037. "ts": 1539815916939949,
  2038. "dur": 15,
  2039. "args": {
  2040. "name": "tower_3/dropout_1/dropout/Floor",
  2041. "op": "Floor"
  2042. }
  2043. },
  2044. {
  2045. "ph": "X",
  2046. "cat": "Op",
  2047. "name": "Transpose",
  2048. "pid": 7,
  2049. "tid": 0,
  2050. "ts": 1539815916939967,
  2051. "dur": 23,
  2052. "args": {
  2053. "name": "tower_3/dropout_1/dropout/mul-1-TransposeNHWCToNCHW-LayoutOptimizer",
  2054. "op": "Transpose"
  2055. }
  2056. },
  2057. {
  2058. "ph": "X",
  2059. "cat": "Op",
  2060. "name": "Mul",
  2061. "pid": 7,
  2062. "tid": 0,
  2063. "ts": 1539815916939994,
  2064. "dur": 26,
  2065. "args": {
  2066. "name": "tower_3/dropout_1/dropout/mul",
  2067. "op": "Mul"
  2068. }
  2069. },
  2070. {
  2071. "ph": "X",
  2072. "cat": "Op",
  2073. "name": "FusedBatchNorm",
  2074. "pid": 7,
  2075. "tid": 0,
  2076. "ts": 1539815916940033,
  2077. "dur": 49,
  2078. "args": {
  2079. "name": "tower_3/batch_normalization_2/FusedBatchNorm",
  2080. "op": "FusedBatchNorm"
  2081. }
  2082. },
  2083. {
  2084. "ph": "X",
  2085. "cat": "Op",
  2086. "name": "Sub",
  2087. "pid": 7,
  2088. "tid": 0,
  2089. "ts": 1539815916940086,
  2090. "dur": 4,
  2091. "args": {
  2092. "name": "tower_3/batch_normalization_2/AssignMovingAvg/sub_1",
  2093. "op": "Sub"
  2094. }
  2095. },
  2096. {
  2097. "ph": "X",
  2098. "cat": "Op",
  2099. "name": "Sub",
  2100. "pid": 7,
  2101. "tid": 0,
  2102. "ts": 1539815916940093,
  2103. "dur": 3,
  2104. "args": {
  2105. "name": "tower_3/batch_normalization_2/AssignMovingAvg_1/sub_1",
  2106. "op": "Sub"
  2107. }
  2108. },
  2109. {
  2110. "ph": "X",
  2111. "cat": "Op",
  2112. "name": "Conv2D",
  2113. "pid": 7,
  2114. "tid": 0,
  2115. "ts": 1539815916940100,
  2116. "dur": 22,
  2117. "args": {
  2118. "name": "tower_3/conv2d_2/Conv2D",
  2119. "op": "Conv2D"
  2120. }
  2121. },
  2122. {
  2123. "ph": "X",
  2124. "cat": "Op",
  2125. "name": "Conv2D",
  2126. "pid": 7,
  2127. "tid": 0,
  2128. "ts": 1539815916940129,
  2129. "dur": 1960,
  2130. "args": {
  2131. "name": "tower_3/conv2d_2/Conv2D",
  2132. "op": "Conv2D"
  2133. }
  2134. },
  2135. {
  2136. "ph": "X",
  2137. "cat": "Op",
  2138. "name": "Conv2D",
  2139. "pid": 7,
  2140. "tid": 0,
  2141. "ts": 1539815916942136,
  2142. "dur": 2273,
  2143. "args": {
  2144. "name": "tower_3/conv2d_2/Conv2D",
  2145. "op": "Conv2D"
  2146. }
  2147. },
  2148. {
  2149. "ph": "X",
  2150. "cat": "Op",
  2151. "name": "Conv2D",
  2152. "pid": 7,
  2153. "tid": 0,
  2154. "ts": 1539815916944467,
  2155. "dur": 4,
  2156. "args": {
  2157. "name": "tower_3/conv2d_2/Conv2D",
  2158. "op": "Conv2D"
  2159. }
  2160. },
  2161. {
  2162. "ph": "X",
  2163. "cat": "Op",
  2164. "name": "Conv2D",
  2165. "pid": 7,
  2166. "tid": 0,
  2167. "ts": 1539815916944481,
  2168. "dur": 1910,
  2169. "args": {
  2170. "name": "tower_3/conv2d_2/Conv2D",
  2171. "op": "Conv2D"
  2172. }
  2173. },
  2174. {
  2175. "ph": "X",
  2176. "cat": "Op",
  2177. "name": "Conv2D",
  2178. "pid": 7,
  2179. "tid": 0,
  2180. "ts": 1539815916946444,
  2181. "dur": 5,
  2182. "args": {
  2183. "name": "tower_3/conv2d_2/Conv2D",
  2184. "op": "Conv2D"
  2185. }
  2186. },
  2187. {
  2188. "ph": "X",
  2189. "cat": "Op",
  2190. "name": "Conv2D",
  2191. "pid": 7,
  2192. "tid": 0,
  2193. "ts": 1539815916946459,
  2194. "dur": 1917,
  2195. "args": {
  2196. "name": "tower_3/conv2d_2/Conv2D",
  2197. "op": "Conv2D"
  2198. }
  2199. },
  2200. {
  2201. "ph": "X",
  2202. "cat": "Op",
  2203. "name": "Conv2D",
  2204. "pid": 7,
  2205. "tid": 0,
  2206. "ts": 1539815916948427,
  2207. "dur": 291,
  2208. "args": {
  2209. "name": "tower_3/conv2d_2/Conv2D",
  2210. "op": "Conv2D"
  2211. }
  2212. },
  2213. {
  2214. "ph": "X",
  2215. "cat": "Op",
  2216. "name": "Conv2D",
  2217. "pid": 7,
  2218. "tid": 0,
  2219. "ts": 1539815916948728,
  2220. "dur": 1813,
  2221. "args": {
  2222. "name": "tower_3/conv2d_2/Conv2D",
  2223. "op": "Conv2D"
  2224. }
  2225. },
  2226. {
  2227. "ph": "X",
  2228. "cat": "Op",
  2229. "name": "Conv2D",
  2230. "pid": 7,
  2231. "tid": 0,
  2232. "ts": 1539815916950594,
  2233. "dur": 290,
  2234. "args": {
  2235. "name": "tower_3/conv2d_2/Conv2D",
  2236. "op": "Conv2D"
  2237. }
  2238. },
  2239. {
  2240. "ph": "X",
  2241. "cat": "Op",
  2242. "name": "Conv2D",
  2243. "pid": 7,
  2244. "tid": 0,
  2245. "ts": 1539815916950888,
  2246. "dur": 2082,
  2247. "args": {
  2248. "name": "tower_3/conv2d_2/Conv2D",
  2249. "op": "Conv2D"
  2250. }
  2251. },
  2252. {
  2253. "ph": "X",
  2254. "cat": "Op",
  2255. "name": "Conv2D",
  2256. "pid": 7,
  2257. "tid": 0,
  2258. "ts": 1539815916953044,
  2259. "dur": 57,
  2260. "args": {
  2261. "name": "tower_3/conv2d_2/Conv2D",
  2262. "op": "Conv2D"
  2263. }
  2264. },
  2265. {
  2266. "ph": "X",
  2267. "cat": "Op",
  2268. "name": "Conv2D",
  2269. "pid": 7,
  2270. "tid": 0,
  2271. "ts": 1539815916953180,
  2272. "dur": 64,
  2273. "args": {
  2274. "name": "tower_3/conv2d_2/Conv2D",
  2275. "op": "Conv2D"
  2276. }
  2277. },
  2278. {
  2279. "ph": "X",
  2280. "cat": "Op",
  2281. "name": "Conv2D",
  2282. "pid": 7,
  2283. "tid": 0,
  2284. "ts": 1539815916953249,
  2285. "dur": 4,
  2286. "args": {
  2287. "name": "tower_3/conv2d_2/Conv2D",
  2288. "op": "Conv2D"
  2289. }
  2290. },
  2291. {
  2292. "ph": "X",
  2293. "cat": "Op",
  2294. "name": "Conv2D",
  2295. "pid": 7,
  2296. "tid": 0,
  2297. "ts": 1539815916953256,
  2298. "dur": 789,
  2299. "args": {
  2300. "name": "tower_3/conv2d_2/Conv2D",
  2301. "op": "Conv2D"
  2302. }
  2303. },
  2304. {
  2305. "ph": "X",
  2306. "cat": "Op",
  2307. "name": "Conv2D",
  2308. "pid": 7,
  2309. "tid": 0,
  2310. "ts": 1539815916954048,
  2311. "dur": 143,
  2312. "args": {
  2313. "name": "tower_3/conv2d_2/Conv2D",
  2314. "op": "Conv2D"
  2315. }
  2316. },
  2317. {
  2318. "ph": "X",
  2319. "cat": "Op",
  2320. "name": "Conv2D",
  2321. "pid": 7,
  2322. "tid": 0,
  2323. "ts": 1539815916954238,
  2324. "dur": 57,
  2325. "args": {
  2326. "name": "tower_3/conv2d_2/Conv2D",
  2327. "op": "Conv2D"
  2328. }
  2329. },
  2330. {
  2331. "ph": "X",
  2332. "cat": "Op",
  2333. "name": "Conv2D",
  2334. "pid": 7,
  2335. "tid": 0,
  2336. "ts": 1539815916954374,
  2337. "dur": 63,
  2338. "args": {
  2339. "name": "tower_3/conv2d_2/Conv2D",
  2340. "op": "Conv2D"
  2341. }
  2342. },
  2343. {
  2344. "ph": "X",
  2345. "cat": "Op",
  2346. "name": "Conv2D",
  2347. "pid": 7,
  2348. "tid": 0,
  2349. "ts": 1539815916954441,
  2350. "dur": 4,
  2351. "args": {
  2352. "name": "tower_3/conv2d_2/Conv2D",
  2353. "op": "Conv2D"
  2354. }
  2355. },
  2356. {
  2357. "ph": "X",
  2358. "cat": "Op",
  2359. "name": "Conv2D",
  2360. "pid": 7,
  2361. "tid": 0,
  2362. "ts": 1539815916954449,
  2363. "dur": 788,
  2364. "args": {
  2365. "name": "tower_3/conv2d_2/Conv2D",
  2366. "op": "Conv2D"
  2367. }
  2368. },
  2369. {
  2370. "ph": "X",
  2371. "cat": "Op",
  2372. "name": "Conv2D",
  2373. "pid": 7,
  2374. "tid": 0,
  2375. "ts": 1539815916955241,
  2376. "dur": 143,
  2377. "args": {
  2378. "name": "tower_3/conv2d_2/Conv2D",
  2379. "op": "Conv2D"
  2380. }
  2381. },
  2382. {
  2383. "ph": "X",
  2384. "cat": "Op",
  2385. "name": "Conv2D",
  2386. "pid": 7,
  2387. "tid": 0,
  2388. "ts": 1539815916955461,
  2389. "dur": 230,
  2390. "args": {
  2391. "name": "tower_3/conv2d_2/Conv2D",
  2392. "op": "Conv2D"
  2393. }
  2394. },
  2395. {
  2396. "ph": "X",
  2397. "cat": "Op",
  2398. "name": "Conv2D",
  2399. "pid": 7,
  2400. "tid": 0,
  2401. "ts": 1539815916958772,
  2402. "dur": 231,
  2403. "args": {
  2404. "name": "tower_3/conv2d_2/Conv2D",
  2405. "op": "Conv2D"
  2406. }
  2407. },
  2408. {
  2409. "ph": "X",
  2410. "cat": "Op",
  2411. "name": "Conv2D",
  2412. "pid": 7,
  2413. "tid": 0,
  2414. "ts": 1539815916962072,
  2415. "dur": 282,
  2416. "args": {
  2417. "name": "tower_3/conv2d_2/Conv2D",
  2418. "op": "Conv2D"
  2419. }
  2420. },
  2421. {
  2422. "ph": "X",
  2423. "cat": "Op",
  2424. "name": "Conv2D",
  2425. "pid": 7,
  2426. "tid": 0,
  2427. "ts": 1539815916962358,
  2428. "dur": 52,
  2429. "args": {
  2430. "name": "tower_3/conv2d_2/Conv2D",
  2431. "op": "Conv2D"
  2432. }
  2433. },
  2434. {
  2435. "ph": "X",
  2436. "cat": "Op",
  2437. "name": "Conv2D",
  2438. "pid": 7,
  2439. "tid": 0,
  2440. "ts": 1539815916962414,
  2441. "dur": 237,
  2442. "args": {
  2443. "name": "tower_3/conv2d_2/Conv2D",
  2444. "op": "Conv2D"
  2445. }
  2446. },
  2447. {
  2448. "ph": "X",
  2449. "cat": "Op",
  2450. "name": "Conv2D",
  2451. "pid": 7,
  2452. "tid": 0,
  2453. "ts": 1539815916962655,
  2454. "dur": 440,
  2455. "args": {
  2456. "name": "tower_3/conv2d_2/Conv2D",
  2457. "op": "Conv2D"
  2458. }
  2459. },
  2460. {
  2461. "ph": "X",
  2462. "cat": "Op",
  2463. "name": "Conv2D",
  2464. "pid": 7,
  2465. "tid": 0,
  2466. "ts": 1539815916963141,
  2467. "dur": 282,
  2468. "args": {
  2469. "name": "tower_3/conv2d_2/Conv2D",
  2470. "op": "Conv2D"
  2471. }
  2472. },
  2473. {
  2474. "ph": "X",
  2475. "cat": "Op",
  2476. "name": "Conv2D",
  2477. "pid": 7,
  2478. "tid": 0,
  2479. "ts": 1539815916963427,
  2480. "dur": 50,
  2481. "args": {
  2482. "name": "tower_3/conv2d_2/Conv2D",
  2483. "op": "Conv2D"
  2484. }
  2485. },
  2486. {
  2487. "ph": "X",
  2488. "cat": "Op",
  2489. "name": "Conv2D",
  2490. "pid": 7,
  2491. "tid": 0,
  2492. "ts": 1539815916963481,
  2493. "dur": 248,
  2494. "args": {
  2495. "name": "tower_3/conv2d_2/Conv2D",
  2496. "op": "Conv2D"
  2497. }
  2498. },
  2499. {
  2500. "ph": "X",
  2501. "cat": "Op",
  2502. "name": "Conv2D",
  2503. "pid": 7,
  2504. "tid": 0,
  2505. "ts": 1539815916963733,
  2506. "dur": 438,
  2507. "args": {
  2508. "name": "tower_3/conv2d_2/Conv2D",
  2509. "op": "Conv2D"
  2510. }
  2511. },
  2512. {
  2513. "ph": "X",
  2514. "cat": "Op",
  2515. "name": "Conv2D",
  2516. "pid": 7,
  2517. "tid": 0,
  2518. "ts": 1539815916964215,
  2519. "dur": 283,
  2520. "args": {
  2521. "name": "tower_3/conv2d_2/Conv2D",
  2522. "op": "Conv2D"
  2523. }
  2524. },
  2525. {
  2526. "ph": "X",
  2527. "cat": "Op",
  2528. "name": "Conv2D",
  2529. "pid": 7,
  2530. "tid": 0,
  2531. "ts": 1539815916964501,
  2532. "dur": 52,
  2533. "args": {
  2534. "name": "tower_3/conv2d_2/Conv2D",
  2535. "op": "Conv2D"
  2536. }
  2537. },
  2538. {
  2539. "ph": "X",
  2540. "cat": "Op",
  2541. "name": "Conv2D",
  2542. "pid": 7,
  2543. "tid": 0,
  2544. "ts": 1539815916964557,
  2545. "dur": 239,
  2546. "args": {
  2547. "name": "tower_3/conv2d_2/Conv2D",
  2548. "op": "Conv2D"
  2549. }
  2550. },
  2551. {
  2552. "ph": "X",
  2553. "cat": "Op",
  2554. "name": "Conv2D",
  2555. "pid": 7,
  2556. "tid": 0,
  2557. "ts": 1539815916964799,
  2558. "dur": 438,
  2559. "args": {
  2560. "name": "tower_3/conv2d_2/Conv2D",
  2561. "op": "Conv2D"
  2562. }
  2563. },
  2564. {
  2565. "ph": "X",
  2566. "cat": "Op",
  2567. "name": "Mul",
  2568. "pid": 7,
  2569. "tid": 0,
  2570. "ts": 1539815916965242,
  2571. "dur": 4,
  2572. "args": {
  2573. "name": "tower_3/batch_normalization_2/AssignMovingAvg/mul",
  2574. "op": "Mul"
  2575. }
  2576. },
  2577. {
  2578. "ph": "X",
  2579. "cat": "Op",
  2580. "name": "Mul",
  2581. "pid": 7,
  2582. "tid": 0,
  2583. "ts": 1539815916965249,
  2584. "dur": 3,
  2585. "args": {
  2586. "name": "tower_3/batch_normalization_2/AssignMovingAvg_1/mul",
  2587. "op": "Mul"
  2588. }
  2589. },
  2590. {
  2591. "ph": "X",
  2592. "cat": "Op",
  2593. "name": "BiasAdd",
  2594. "pid": 7,
  2595. "tid": 0,
  2596. "ts": 1539815916965256,
  2597. "dur": 43,
  2598. "args": {
  2599. "name": "tower_3/conv2d_2/BiasAdd",
  2600. "op": "BiasAdd"
  2601. }
  2602. },
  2603. {
  2604. "ph": "X",
  2605. "cat": "Op",
  2606. "name": "AssignSubVariableOp",
  2607. "pid": 7,
  2608. "tid": 0,
  2609. "ts": 1539815916965308,
  2610. "dur": 4,
  2611. "args": {
  2612. "name": "tower_3/batch_normalization_2/AssignMovingAvg/AssignSubVariableOp",
  2613. "op": "AssignSubVariableOp"
  2614. }
  2615. },
  2616. {
  2617. "ph": "X",
  2618. "cat": "Op",
  2619. "name": "AssignSubVariableOp",
  2620. "pid": 7,
  2621. "tid": 0,
  2622. "ts": 1539815916965320,
  2623. "dur": 3,
  2624. "args": {
  2625. "name": "tower_3/batch_normalization_2/AssignMovingAvg_1/AssignSubVariableOp",
  2626. "op": "AssignSubVariableOp"
  2627. }
  2628. },
  2629. {
  2630. "ph": "X",
  2631. "cat": "Op",
  2632. "name": "Elu",
  2633. "pid": 7,
  2634. "tid": 0,
  2635. "ts": 1539815916965327,
  2636. "dur": 37,
  2637. "args": {
  2638. "name": "tower_3/conv2d_2/Elu",
  2639. "op": "Elu"
  2640. }
  2641. },
  2642. {
  2643. "ph": "X",
  2644. "cat": "Op",
  2645. "name": "MaxPool",
  2646. "pid": 7,
  2647. "tid": 0,
  2648. "ts": 1539815916965369,
  2649. "dur": 31,
  2650. "args": {
  2651. "name": "tower_3/max_pooling2d_2/MaxPool",
  2652. "op": "MaxPool"
  2653. }
  2654. },
  2655. {
  2656. "ph": "X",
  2657. "cat": "Op",
  2658. "name": "Mul",
  2659. "pid": 7,
  2660. "tid": 0,
  2661. "ts": 1539815916965404,
  2662. "dur": 5,
  2663. "args": {
  2664. "name": "tower_3/dropout_2/dropout/div",
  2665. "op": "Mul"
  2666. }
  2667. },
  2668. {
  2669. "ph": "X",
  2670. "cat": "Op",
  2671. "name": "RandomUniform",
  2672. "pid": 7,
  2673. "tid": 0,
  2674. "ts": 1539815916965413,
  2675. "dur": 10,
  2676. "args": {
  2677. "name": "tower_3/dropout_2/dropout/random_uniform/RandomUniform",
  2678. "op": "RandomUniform"
  2679. }
  2680. },
  2681. {
  2682. "ph": "X",
  2683. "cat": "Op",
  2684. "name": "Add",
  2685. "pid": 7,
  2686. "tid": 0,
  2687. "ts": 1539815916965426,
  2688. "dur": 6,
  2689. "args": {
  2690. "name": "tower_3/dropout_2/dropout/add",
  2691. "op": "Add"
  2692. }
  2693. },
  2694. {
  2695. "ph": "X",
  2696. "cat": "Op",
  2697. "name": "Floor",
  2698. "pid": 7,
  2699. "tid": 0,
  2700. "ts": 1539815916965436,
  2701. "dur": 6,
  2702. "args": {
  2703. "name": "tower_3/dropout_2/dropout/Floor",
  2704. "op": "Floor"
  2705. }
  2706. },
  2707. {
  2708. "ph": "X",
  2709. "cat": "Op",
  2710. "name": "Transpose",
  2711. "pid": 7,
  2712. "tid": 0,
  2713. "ts": 1539815916965445,
  2714. "dur": 12,
  2715. "args": {
  2716. "name": "tower_3/dropout_2/dropout/mul-1-TransposeNHWCToNCHW-LayoutOptimizer",
  2717. "op": "Transpose"
  2718. }
  2719. },
  2720. {
  2721. "ph": "X",
  2722. "cat": "Op",
  2723. "name": "Mul",
  2724. "pid": 7,
  2725. "tid": 0,
  2726. "ts": 1539815916965461,
  2727. "dur": 9,
  2728. "args": {
  2729. "name": "tower_3/dropout_2/dropout/mul",
  2730. "op": "Mul"
  2731. }
  2732. },
  2733. {
  2734. "ph": "X",
  2735. "cat": "Op",
  2736. "name": "Transpose",
  2737. "pid": 7,
  2738. "tid": 0,
  2739. "ts": 1539815916965473,
  2740. "dur": 10,
  2741. "args": {
  2742. "name": "tower_3/dropout_2/dropout/mul-0-0-TransposeNCHWToNHWC-LayoutOptimizer",
  2743. "op": "Transpose"
  2744. }
  2745. },
  2746. {
  2747. "ph": "X",
  2748. "cat": "Op",
  2749. "name": "MatMul",
  2750. "pid": 7,
  2751. "tid": 0,
  2752. "ts": 1539815916967983,
  2753. "dur": 81,
  2754. "args": {
  2755. "name": "tower_3/dense/MatMul",
  2756. "op": "MatMul"
  2757. }
  2758. },
  2759. {
  2760. "ph": "X",
  2761. "cat": "Op",
  2762. "name": "BiasAdd",
  2763. "pid": 7,
  2764. "tid": 0,
  2765. "ts": 1539815916968069,
  2766. "dur": 4,
  2767. "args": {
  2768. "name": "tower_3/dense/BiasAdd",
  2769. "op": "BiasAdd"
  2770. }
  2771. },
  2772. {
  2773. "ph": "X",
  2774. "cat": "Op",
  2775. "name": "Elu",
  2776. "pid": 7,
  2777. "tid": 0,
  2778. "ts": 1539815916968077,
  2779. "dur": 4,
  2780. "args": {
  2781. "name": "tower_3/activation/Elu",
  2782. "op": "Elu"
  2783. }
  2784. },
  2785. {
  2786. "ph": "X",
  2787. "cat": "Op",
  2788. "name": "Mul",
  2789. "pid": 7,
  2790. "tid": 0,
  2791. "ts": 1539815916968085,
  2792. "dur": 4,
  2793. "args": {
  2794. "name": "tower_3/dropout_3/dropout/div",
  2795. "op": "Mul"
  2796. }
  2797. },
  2798. {
  2799. "ph": "X",
  2800. "cat": "Op",
  2801. "name": "RandomUniform",
  2802. "pid": 7,
  2803. "tid": 0,
  2804. "ts": 1539815916968124,
  2805. "dur": 7,
  2806. "args": {
  2807. "name": "tower_3/dropout_3/dropout/random_uniform/RandomUniform",
  2808. "op": "RandomUniform"
  2809. }
  2810. },
  2811. {
  2812. "ph": "X",
  2813. "cat": "Op",
  2814. "name": "Add",
  2815. "pid": 7,
  2816. "tid": 0,
  2817. "ts": 1539815916968170,
  2818. "dur": 4,
  2819. "args": {
  2820. "name": "tower_3/dropout_3/dropout/add",
  2821. "op": "Add"
  2822. }
  2823. },
  2824. {
  2825. "ph": "X",
  2826. "cat": "Op",
  2827. "name": "Floor",
  2828. "pid": 7,
  2829. "tid": 0,
  2830. "ts": 1539815916968196,
  2831. "dur": 3,
  2832. "args": {
  2833. "name": "tower_3/dropout_3/dropout/Floor",
  2834. "op": "Floor"
  2835. }
  2836. },
  2837. {
  2838. "ph": "X",
  2839. "cat": "Op",
  2840. "name": "Mul",
  2841. "pid": 7,
  2842. "tid": 0,
  2843. "ts": 1539815916968219,
  2844. "dur": 4,
  2845. "args": {
  2846. "name": "tower_3/dropout_3/dropout/mul",
  2847. "op": "Mul"
  2848. }
  2849. },
  2850. {
  2851. "ph": "X",
  2852. "cat": "Op",
  2853. "name": "MatMul",
  2854. "pid": 7,
  2855. "tid": 0,
  2856. "ts": 1539815916968253,
  2857. "dur": 40,
  2858. "args": {
  2859. "name": "tower_3/dense_1/MatMul",
  2860. "op": "MatMul"
  2861. }
  2862. },
  2863. {
  2864. "ph": "X",
  2865. "cat": "Op",
  2866. "name": "BiasAdd",
  2867. "pid": 7,
  2868. "tid": 0,
  2869. "ts": 1539815916968297,
  2870. "dur": 4,
  2871. "args": {
  2872. "name": "tower_3/dense_1/BiasAdd",
  2873. "op": "BiasAdd"
  2874. }
  2875. },
  2876. {
  2877. "ph": "X",
  2878. "cat": "Op",
  2879. "name": "Softmax",
  2880. "pid": 7,
  2881. "tid": 0,
  2882. "ts": 1539815916971367,
  2883. "dur": 4,
  2884. "args": {
  2885. "name": "tower_3/activation_1/Softmax",
  2886. "op": "Softmax"
  2887. }
  2888. },
  2889. {
  2890. "ph": "X",
  2891. "cat": "Op",
  2892. "name": "Softmax",
  2893. "pid": 7,
  2894. "tid": 0,
  2895. "ts": 1539815916971380,
  2896. "dur": 5,
  2897. "args": {
  2898. "name": "tower_3/activation_1/Softmax",
  2899. "op": "Softmax"
  2900. }
  2901. },
  2902. {
  2903. "ph": "X",
  2904. "cat": "Op",
  2905. "name": "Softmax",
  2906. "pid": 7,
  2907. "tid": 0,
  2908. "ts": 1539815916971394,
  2909. "dur": 4,
  2910. "args": {
  2911. "name": "tower_3/activation_1/Softmax",
  2912. "op": "Softmax"
  2913. }
  2914. },
  2915. {
  2916. "ph": "X",
  2917. "cat": "Op",
  2918. "name": "Minimum",
  2919. "pid": 7,
  2920. "tid": 0,
  2921. "ts": 1539815916972591,
  2922. "dur": 4,
  2923. "args": {
  2924. "name": "tower_3/loss/activation_1_loss/clip_by_value/Minimum",
  2925. "op": "Minimum"
  2926. }
  2927. },
  2928. {
  2929. "ph": "X",
  2930. "cat": "Op",
  2931. "name": "LessEqual",
  2932. "pid": 7,
  2933. "tid": 0,
  2934. "ts": 1539815916974140,
  2935. "dur": 3,
  2936. "args": {
  2937. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value/Minimum_grad/LessEqual",
  2938. "op": "LessEqual"
  2939. }
  2940. },
  2941. {
  2942. "ph": "X",
  2943. "cat": "Op",
  2944. "name": "Maximum",
  2945. "pid": 7,
  2946. "tid": 0,
  2947. "ts": 1539815916974234,
  2948. "dur": 4,
  2949. "args": {
  2950. "name": "tower_3/loss/activation_1_loss/clip_by_value",
  2951. "op": "Maximum"
  2952. }
  2953. },
  2954. {
  2955. "ph": "X",
  2956. "cat": "Op",
  2957. "name": "GreaterEqual",
  2958. "pid": 7,
  2959. "tid": 0,
  2960. "ts": 1539815916975758,
  2961. "dur": 4,
  2962. "args": {
  2963. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value_grad/GreaterEqual",
  2964. "op": "GreaterEqual"
  2965. }
  2966. },
  2967. {
  2968. "ph": "X",
  2969. "cat": "Op",
  2970. "name": "Log",
  2971. "pid": 7,
  2972. "tid": 0,
  2973. "ts": 1539815916975860,
  2974. "dur": 4,
  2975. "args": {
  2976. "name": "tower_3/loss/activation_1_loss/Log",
  2977. "op": "Log"
  2978. }
  2979. },
  2980. {
  2981. "ph": "X",
  2982. "cat": "Op",
  2983. "name": "SparseSoftmaxCrossEntropyWithLogits",
  2984. "pid": 7,
  2985. "tid": 0,
  2986. "ts": 1539815916975916,
  2987. "dur": 6,
  2988. "args": {
  2989. "name": "tower_3/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  2990. "op": "SparseSoftmaxCrossEntropyWithLogits"
  2991. }
  2992. },
  2993. {
  2994. "ph": "X",
  2995. "cat": "Op",
  2996. "name": "SparseSoftmaxCrossEntropyWithLogits",
  2997. "pid": 7,
  2998. "tid": 0,
  2999. "ts": 1539815916975930,
  3000. "dur": 5,
  3001. "args": {
  3002. "name": "tower_3/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  3003. "op": "SparseSoftmaxCrossEntropyWithLogits"
  3004. }
  3005. },
  3006. {
  3007. "ph": "X",
  3008. "cat": "Op",
  3009. "name": "SparseSoftmaxCrossEntropyWithLogits",
  3010. "pid": 7,
  3011. "tid": 0,
  3012. "ts": 1539815916975944,
  3013. "dur": 7,
  3014. "args": {
  3015. "name": "tower_3/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  3016. "op": "SparseSoftmaxCrossEntropyWithLogits"
  3017. }
  3018. },
  3019. {
  3020. "ph": "X",
  3021. "cat": "Op",
  3022. "name": "SparseSoftmaxCrossEntropyWithLogits",
  3023. "pid": 7,
  3024. "tid": 0,
  3025. "ts": 1539815916975957,
  3026. "dur": 11,
  3027. "args": {
  3028. "name": "tower_3/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  3029. "op": "SparseSoftmaxCrossEntropyWithLogits"
  3030. }
  3031. },
  3032. {
  3033. "ph": "X",
  3034. "cat": "Op",
  3035. "name": "SparseSoftmaxCrossEntropyWithLogits",
  3036. "pid": 7,
  3037. "tid": 0,
  3038. "ts": 1539815916975974,
  3039. "dur": 4,
  3040. "args": {
  3041. "name": "tower_3/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  3042. "op": "SparseSoftmaxCrossEntropyWithLogits"
  3043. }
  3044. },
  3045. {
  3046. "ph": "X",
  3047. "cat": "Op",
  3048. "name": "SparseSoftmaxCrossEntropyWithLogits",
  3049. "pid": 7,
  3050. "tid": 0,
  3051. "ts": 1539815916975989,
  3052. "dur": 4,
  3053. "args": {
  3054. "name": "tower_3/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  3055. "op": "SparseSoftmaxCrossEntropyWithLogits"
  3056. }
  3057. },
  3058. {
  3059. "ph": "X",
  3060. "cat": "Op",
  3061. "name": "Mean",
  3062. "pid": 7,
  3063. "tid": 0,
  3064. "ts": 1539815916982184,
  3065. "dur": 5,
  3066. "args": {
  3067. "name": "tower_3/loss/activation_1_loss/Mean",
  3068. "op": "Mean"
  3069. }
  3070. },
  3071. {
  3072. "ph": "X",
  3073. "cat": "Op",
  3074. "name": "Tile",
  3075. "pid": 7,
  3076. "tid": 0,
  3077. "ts": 1539815916983731,
  3078. "dur": 4,
  3079. "args": {
  3080. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/Mean_grad/Tile",
  3081. "op": "Tile"
  3082. }
  3083. },
  3084. {
  3085. "ph": "X",
  3086. "cat": "Op",
  3087. "name": "Cast",
  3088. "pid": 7,
  3089. "tid": 0,
  3090. "ts": 1539815916983916,
  3091. "dur": 3,
  3092. "args": {
  3093. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/Mean_grad/Cast",
  3094. "op": "Cast"
  3095. }
  3096. },
  3097. {
  3098. "ph": "X",
  3099. "cat": "Op",
  3100. "name": "RealDiv",
  3101. "pid": 7,
  3102. "tid": 0,
  3103. "ts": 1539815916985486,
  3104. "dur": 4,
  3105. "args": {
  3106. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/Mean_grad/truediv",
  3107. "op": "RealDiv"
  3108. }
  3109. },
  3110. {
  3111. "ph": "X",
  3112. "cat": "Op",
  3113. "name": "Mul",
  3114. "pid": 7,
  3115. "tid": 0,
  3116. "ts": 1539815916986446,
  3117. "dur": 5,
  3118. "args": {
  3119. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits_grad/mul",
  3120. "op": "Mul"
  3121. }
  3122. },
  3123. {
  3124. "ph": "X",
  3125. "cat": "Op",
  3126. "name": "Reciprocal",
  3127. "pid": 7,
  3128. "tid": 0,
  3129. "ts": 1539815916986489,
  3130. "dur": 4,
  3131. "args": {
  3132. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/Log_grad/Reciprocal",
  3133. "op": "Reciprocal"
  3134. }
  3135. },
  3136. {
  3137. "ph": "X",
  3138. "cat": "Op",
  3139. "name": "Mul",
  3140. "pid": 7,
  3141. "tid": 0,
  3142. "ts": 1539815916986524,
  3143. "dur": 4,
  3144. "args": {
  3145. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/Log_grad/mul",
  3146. "op": "Mul"
  3147. }
  3148. },
  3149. {
  3150. "ph": "X",
  3151. "cat": "Op",
  3152. "name": "Fill",
  3153. "pid": 7,
  3154. "tid": 0,
  3155. "ts": 1539815916986635,
  3156. "dur": 4,
  3157. "args": {
  3158. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value_grad/zeros",
  3159. "op": "Fill"
  3160. }
  3161. },
  3162. {
  3163. "ph": "X",
  3164. "cat": "Op",
  3165. "name": "Select",
  3166. "pid": 7,
  3167. "tid": 0,
  3168. "ts": 1539815916986670,
  3169. "dur": 4,
  3170. "args": {
  3171. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value_grad/Select",
  3172. "op": "Select"
  3173. }
  3174. },
  3175. {
  3176. "ph": "X",
  3177. "cat": "Op",
  3178. "name": "Fill",
  3179. "pid": 7,
  3180. "tid": 0,
  3181. "ts": 1539815916990893,
  3182. "dur": 4,
  3183. "args": {
  3184. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value/Minimum_grad/zeros",
  3185. "op": "Fill"
  3186. }
  3187. },
  3188. {
  3189. "ph": "X",
  3190. "cat": "Op",
  3191. "name": "Select",
  3192. "pid": 7,
  3193. "tid": 0,
  3194. "ts": 1539815916990922,
  3195. "dur": 3,
  3196. "args": {
  3197. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value/Minimum_grad/Select",
  3198. "op": "Select"
  3199. }
  3200. },
  3201. {
  3202. "ph": "X",
  3203. "cat": "Op",
  3204. "name": "Mul",
  3205. "pid": 7,
  3206. "tid": 0,
  3207. "ts": 1539815916991051,
  3208. "dur": 3,
  3209. "args": {
  3210. "name": "tower_3/training/TFOptimizer/gradients/tower_3/activation_1/Softmax_grad/mul",
  3211. "op": "Mul"
  3212. }
  3213. },
  3214. {
  3215. "ph": "X",
  3216. "cat": "Op",
  3217. "name": "Sum",
  3218. "pid": 7,
  3219. "tid": 0,
  3220. "ts": 1539815916991084,
  3221. "dur": 4,
  3222. "args": {
  3223. "name": "tower_3/training/TFOptimizer/gradients/tower_3/activation_1/Softmax_grad/Sum",
  3224. "op": "Sum"
  3225. }
  3226. },
  3227. {
  3228. "ph": "X",
  3229. "cat": "Op",
  3230. "name": "Sub",
  3231. "pid": 7,
  3232. "tid": 0,
  3233. "ts": 1539815916991122,
  3234. "dur": 5,
  3235. "args": {
  3236. "name": "tower_3/training/TFOptimizer/gradients/tower_3/activation_1/Softmax_grad/sub",
  3237. "op": "Sub"
  3238. }
  3239. },
  3240. {
  3241. "ph": "X",
  3242. "cat": "Op",
  3243. "name": "Mul",
  3244. "pid": 7,
  3245. "tid": 0,
  3246. "ts": 1539815916991155,
  3247. "dur": 4,
  3248. "args": {
  3249. "name": "tower_3/training/TFOptimizer/gradients/tower_3/activation_1/Softmax_grad/mul_1",
  3250. "op": "Mul"
  3251. }
  3252. },
  3253. {
  3254. "ph": "X",
  3255. "cat": "Op",
  3256. "name": "BiasAddGrad",
  3257. "pid": 7,
  3258. "tid": 0,
  3259. "ts": 1539815916991274,
  3260. "dur": 8,
  3261. "args": {
  3262. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dense_1/BiasAdd_grad/BiasAddGrad",
  3263. "op": "BiasAddGrad"
  3264. }
  3265. },
  3266. {
  3267. "ph": "X",
  3268. "cat": "Op",
  3269. "name": "BiasAddGrad",
  3270. "pid": 7,
  3271. "tid": 0,
  3272. "ts": 1539815916991317,
  3273. "dur": 6,
  3274. "args": {
  3275. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dense_1/BiasAdd_grad/BiasAddGrad",
  3276. "op": "BiasAddGrad"
  3277. }
  3278. },
  3279. {
  3280. "ph": "X",
  3281. "cat": "Op",
  3282. "name": "BiasAddGrad",
  3283. "pid": 7,
  3284. "tid": 0,
  3285. "ts": 1539815916991335,
  3286. "dur": 4,
  3287. "args": {
  3288. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dense_1/BiasAdd_grad/BiasAddGrad",
  3289. "op": "BiasAddGrad"
  3290. }
  3291. },
  3292. {
  3293. "ph": "X",
  3294. "cat": "Op",
  3295. "name": "MatMul",
  3296. "pid": 7,
  3297. "tid": 0,
  3298. "ts": 1539815916991408,
  3299. "dur": 16,
  3300. "args": {
  3301. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dense_1/MatMul_grad/MatMul",
  3302. "op": "MatMul"
  3303. }
  3304. },
  3305. {
  3306. "ph": "X",
  3307. "cat": "Op",
  3308. "name": "MatMul",
  3309. "pid": 7,
  3310. "tid": 0,
  3311. "ts": 1539815916991487,
  3312. "dur": 40,
  3313. "args": {
  3314. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dense_1/MatMul_grad/MatMul_1",
  3315. "op": "MatMul"
  3316. }
  3317. },
  3318. {
  3319. "ph": "X",
  3320. "cat": "Op",
  3321. "name": "Mul",
  3322. "pid": 7,
  3323. "tid": 0,
  3324. "ts": 1539815916991542,
  3325. "dur": 4,
  3326. "args": {
  3327. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_3/dropout/mul_grad/Mul",
  3328. "op": "Mul"
  3329. }
  3330. },
  3331. {
  3332. "ph": "X",
  3333. "cat": "Op",
  3334. "name": "Mul",
  3335. "pid": 7,
  3336. "tid": 0,
  3337. "ts": 1539815916991577,
  3338. "dur": 4,
  3339. "args": {
  3340. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_3/dropout/div_grad/RealDiv",
  3341. "op": "Mul"
  3342. }
  3343. },
  3344. {
  3345. "ph": "X",
  3346. "cat": "Op",
  3347. "name": "EluGrad",
  3348. "pid": 7,
  3349. "tid": 0,
  3350. "ts": 1539815916991629,
  3351. "dur": 4,
  3352. "args": {
  3353. "name": "tower_3/training/TFOptimizer/gradients/tower_3/activation/Elu_grad/EluGrad",
  3354. "op": "EluGrad"
  3355. }
  3356. },
  3357. {
  3358. "ph": "X",
  3359. "cat": "Op",
  3360. "name": "BiasAddGrad",
  3361. "pid": 7,
  3362. "tid": 0,
  3363. "ts": 1539815916991729,
  3364. "dur": 4,
  3365. "args": {
  3366. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dense/BiasAdd_grad/BiasAddGrad",
  3367. "op": "BiasAddGrad"
  3368. }
  3369. },
  3370. {
  3371. "ph": "X",
  3372. "cat": "Op",
  3373. "name": "BiasAddGrad",
  3374. "pid": 7,
  3375. "tid": 0,
  3376. "ts": 1539815916991773,
  3377. "dur": 5,
  3378. "args": {
  3379. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dense/BiasAdd_grad/BiasAddGrad",
  3380. "op": "BiasAddGrad"
  3381. }
  3382. },
  3383. {
  3384. "ph": "X",
  3385. "cat": "Op",
  3386. "name": "BiasAddGrad",
  3387. "pid": 7,
  3388. "tid": 0,
  3389. "ts": 1539815916991785,
  3390. "dur": 6,
  3391. "args": {
  3392. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dense/BiasAdd_grad/BiasAddGrad",
  3393. "op": "BiasAddGrad"
  3394. }
  3395. },
  3396. {
  3397. "ph": "X",
  3398. "cat": "Op",
  3399. "name": "MatMul",
  3400. "pid": 7,
  3401. "tid": 0,
  3402. "ts": 1539815916991844,
  3403. "dur": 38,
  3404. "args": {
  3405. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dense/MatMul_grad/MatMul",
  3406. "op": "MatMul"
  3407. }
  3408. },
  3409. {
  3410. "ph": "X",
  3411. "cat": "Op",
  3412. "name": "MatMul",
  3413. "pid": 7,
  3414. "tid": 0,
  3415. "ts": 1539815916991886,
  3416. "dur": 44,
  3417. "args": {
  3418. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dense/MatMul_grad/MatMul_1",
  3419. "op": "MatMul"
  3420. }
  3421. },
  3422. {
  3423. "ph": "X",
  3424. "cat": "Op",
  3425. "name": "Mul",
  3426. "pid": 7,
  3427. "tid": 0,
  3428. "ts": 1539815916991950,
  3429. "dur": 12,
  3430. "args": {
  3431. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_2/dropout/mul_grad/Mul",
  3432. "op": "Mul"
  3433. }
  3434. },
  3435. {
  3436. "ph": "X",
  3437. "cat": "Op",
  3438. "name": "Mul",
  3439. "pid": 7,
  3440. "tid": 0,
  3441. "ts": 1539815916991979,
  3442. "dur": 5,
  3443. "args": {
  3444. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_2/dropout/div_grad/RealDiv",
  3445. "op": "Mul"
  3446. }
  3447. },
  3448. {
  3449. "ph": "X",
  3450. "cat": "Op",
  3451. "name": "Transpose",
  3452. "pid": 7,
  3453. "tid": 0,
  3454. "ts": 1539815916992038,
  3455. "dur": 12,
  3456. "args": {
  3457. "name": "tower_3/training/TFOptimizer/gradients/tower_3/max_pooling2d_2/MaxPool_grad/MaxPoolGrad-2-TransposeNHWCToNCHW-LayoutOptimizer",
  3458. "op": "Transpose"
  3459. }
  3460. },
  3461. {
  3462. "ph": "X",
  3463. "cat": "Op",
  3464. "name": "MaxPoolGrad",
  3465. "pid": 7,
  3466. "tid": 0,
  3467. "ts": 1539815916993607,
  3468. "dur": 192,
  3469. "args": {
  3470. "name": "tower_3/training/TFOptimizer/gradients/tower_3/max_pooling2d_2/MaxPool_grad/MaxPoolGrad",
  3471. "op": "MaxPoolGrad"
  3472. }
  3473. },
  3474. {
  3475. "ph": "X",
  3476. "cat": "Op",
  3477. "name": "EluGrad",
  3478. "pid": 7,
  3479. "tid": 0,
  3480. "ts": 1539815916993803,
  3481. "dur": 52,
  3482. "args": {
  3483. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Elu_grad/EluGrad",
  3484. "op": "EluGrad"
  3485. }
  3486. },
  3487. {
  3488. "ph": "X",
  3489. "cat": "Op",
  3490. "name": "BiasAddGrad",
  3491. "pid": 7,
  3492. "tid": 0,
  3493. "ts": 1539815916993866,
  3494. "dur": 36,
  3495. "args": {
  3496. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/BiasAdd_grad/BiasAddGrad",
  3497. "op": "BiasAddGrad"
  3498. }
  3499. },
  3500. {
  3501. "ph": "X",
  3502. "cat": "Op",
  3503. "name": "BiasAddGrad",
  3504. "pid": 7,
  3505. "tid": 0,
  3506. "ts": 1539815916993935,
  3507. "dur": 32,
  3508. "args": {
  3509. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/BiasAdd_grad/BiasAddGrad",
  3510. "op": "BiasAddGrad"
  3511. }
  3512. },
  3513. {
  3514. "ph": "X",
  3515. "cat": "Op",
  3516. "name": "BiasAddGrad",
  3517. "pid": 7,
  3518. "tid": 0,
  3519. "ts": 1539815916993971,
  3520. "dur": 5,
  3521. "args": {
  3522. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/BiasAdd_grad/BiasAddGrad",
  3523. "op": "BiasAddGrad"
  3524. }
  3525. },
  3526. {
  3527. "ph": "X",
  3528. "cat": "Op",
  3529. "name": "BiasAddGrad",
  3530. "pid": 7,
  3531. "tid": 0,
  3532. "ts": 1539815916993979,
  3533. "dur": 6,
  3534. "args": {
  3535. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/BiasAdd_grad/BiasAddGrad",
  3536. "op": "BiasAddGrad"
  3537. }
  3538. },
  3539. {
  3540. "ph": "X",
  3541. "cat": "Op",
  3542. "name": "Conv2DBackpropFilter",
  3543. "pid": 7,
  3544. "tid": 0,
  3545. "ts": 1539815916994133,
  3546. "dur": 4394,
  3547. "args": {
  3548. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  3549. "op": "Conv2DBackpropFilter"
  3550. }
  3551. },
  3552. {
  3553. "ph": "X",
  3554. "cat": "Op",
  3555. "name": "Conv2DBackpropFilter",
  3556. "pid": 7,
  3557. "tid": 0,
  3558. "ts": 1539815916998594,
  3559. "dur": 4371,
  3560. "args": {
  3561. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  3562. "op": "Conv2DBackpropFilter"
  3563. }
  3564. },
  3565. {
  3566. "ph": "X",
  3567. "cat": "Op",
  3568. "name": "Conv2DBackpropFilter",
  3569. "pid": 7,
  3570. "tid": 0,
  3571. "ts": 1539815917003041,
  3572. "dur": 4,
  3573. "args": {
  3574. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  3575. "op": "Conv2DBackpropFilter"
  3576. }
  3577. },
  3578. {
  3579. "ph": "X",
  3580. "cat": "Op",
  3581. "name": "Conv2DBackpropFilter",
  3582. "pid": 7,
  3583. "tid": 0,
  3584. "ts": 1539815917003090,
  3585. "dur": 9,
  3586. "args": {
  3587. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  3588. "op": "Conv2DBackpropFilter"
  3589. }
  3590. },
  3591. {
  3592. "ph": "X",
  3593. "cat": "Op",
  3594. "name": "Conv2DBackpropFilter",
  3595. "pid": 7,
  3596. "tid": 0,
  3597. "ts": 1539815917003106,
  3598. "dur": 3,
  3599. "args": {
  3600. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  3601. "op": "Conv2DBackpropFilter"
  3602. }
  3603. },
  3604. {
  3605. "ph": "X",
  3606. "cat": "Op",
  3607. "name": "Conv2DBackpropFilter",
  3608. "pid": 7,
  3609. "tid": 0,
  3610. "ts": 1539815917003121,
  3611. "dur": 1682,
  3612. "args": {
  3613. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  3614. "op": "Conv2DBackpropFilter"
  3615. }
  3616. },
  3617. {
  3618. "ph": "X",
  3619. "cat": "Op",
  3620. "name": "Conv2DBackpropFilter",
  3621. "pid": 7,
  3622. "tid": 0,
  3623. "ts": 1539815917004889,
  3624. "dur": 4,
  3625. "args": {
  3626. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  3627. "op": "Conv2DBackpropFilter"
  3628. }
  3629. },
  3630. {
  3631. "ph": "X",
  3632. "cat": "Op",
  3633. "name": "Conv2DBackpropFilter",
  3634. "pid": 7,
  3635. "tid": 0,
  3636. "ts": 1539815917004900,
  3637. "dur": 8,
  3638. "args": {
  3639. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  3640. "op": "Conv2DBackpropFilter"
  3641. }
  3642. },
  3643. {
  3644. "ph": "X",
  3645. "cat": "Op",
  3646. "name": "Conv2DBackpropFilter",
  3647. "pid": 7,
  3648. "tid": 0,
  3649. "ts": 1539815917004912,
  3650. "dur": 4,
  3651. "args": {
  3652. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  3653. "op": "Conv2DBackpropFilter"
  3654. }
  3655. },
  3656. {
  3657. "ph": "X",
  3658. "cat": "Op",
  3659. "name": "Conv2DBackpropFilter",
  3660. "pid": 7,
  3661. "tid": 0,
  3662. "ts": 1539815917004921,
  3663. "dur": 1687,
  3664. "args": {
  3665. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  3666. "op": "Conv2DBackpropFilter"
  3667. }
  3668. },
  3669. {
  3670. "ph": "X",
  3671. "cat": "Op",
  3672. "name": "Conv2DBackpropFilter",
  3673. "pid": 7,
  3674. "tid": 0,
  3675. "ts": 1539815917006660,
  3676. "dur": 111,
  3677. "args": {
  3678. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  3679. "op": "Conv2DBackpropFilter"
  3680. }
  3681. },
  3682. {
  3683. "ph": "X",
  3684. "cat": "Op",
  3685. "name": "Conv2DBackpropFilter",
  3686. "pid": 7,
  3687. "tid": 0,
  3688. "ts": 1539815917006857,
  3689. "dur": 138,
  3690. "args": {
  3691. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  3692. "op": "Conv2DBackpropFilter"
  3693. }
  3694. },
  3695. {
  3696. "ph": "X",
  3697. "cat": "Op",
  3698. "name": "Conv2DBackpropFilter",
  3699. "pid": 7,
  3700. "tid": 0,
  3701. "ts": 1539815917006999,
  3702. "dur": 3,
  3703. "args": {
  3704. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  3705. "op": "Conv2DBackpropFilter"
  3706. }
  3707. },
  3708. {
  3709. "ph": "X",
  3710. "cat": "Op",
  3711. "name": "Conv2DBackpropFilter",
  3712. "pid": 7,
  3713. "tid": 0,
  3714. "ts": 1539815917007005,
  3715. "dur": 800,
  3716. "args": {
  3717. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  3718. "op": "Conv2DBackpropFilter"
  3719. }
  3720. },
  3721. {
  3722. "ph": "X",
  3723. "cat": "Op",
  3724. "name": "Conv2DBackpropFilter",
  3725. "pid": 7,
  3726. "tid": 0,
  3727. "ts": 1539815917007809,
  3728. "dur": 74,
  3729. "args": {
  3730. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  3731. "op": "Conv2DBackpropFilter"
  3732. }
  3733. },
  3734. {
  3735. "ph": "X",
  3736. "cat": "Op",
  3737. "name": "Conv2DBackpropFilter",
  3738. "pid": 7,
  3739. "tid": 0,
  3740. "ts": 1539815917007944,
  3741. "dur": 111,
  3742. "args": {
  3743. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  3744. "op": "Conv2DBackpropFilter"
  3745. }
  3746. },
  3747. {
  3748. "ph": "X",
  3749. "cat": "Op",
  3750. "name": "Conv2DBackpropFilter",
  3751. "pid": 7,
  3752. "tid": 0,
  3753. "ts": 1539815917008141,
  3754. "dur": 136,
  3755. "args": {
  3756. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  3757. "op": "Conv2DBackpropFilter"
  3758. }
  3759. },
  3760. {
  3761. "ph": "X",
  3762. "cat": "Op",
  3763. "name": "Conv2DBackpropFilter",
  3764. "pid": 7,
  3765. "tid": 0,
  3766. "ts": 1539815917008281,
  3767. "dur": 4,
  3768. "args": {
  3769. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  3770. "op": "Conv2DBackpropFilter"
  3771. }
  3772. },
  3773. {
  3774. "ph": "X",
  3775. "cat": "Op",
  3776. "name": "Conv2DBackpropFilter",
  3777. "pid": 7,
  3778. "tid": 0,
  3779. "ts": 1539815917008288,
  3780. "dur": 800,
  3781. "args": {
  3782. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  3783. "op": "Conv2DBackpropFilter"
  3784. }
  3785. },
  3786. {
  3787. "ph": "X",
  3788. "cat": "Op",
  3789. "name": "Conv2DBackpropFilter",
  3790. "pid": 7,
  3791. "tid": 0,
  3792. "ts": 1539815917009093,
  3793. "dur": 75,
  3794. "args": {
  3795. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  3796. "op": "Conv2DBackpropFilter"
  3797. }
  3798. },
  3799. {
  3800. "ph": "X",
  3801. "cat": "Op",
  3802. "name": "Conv2DBackpropFilter",
  3803. "pid": 7,
  3804. "tid": 0,
  3805. "ts": 1539815917009233,
  3806. "dur": 4,
  3807. "args": {
  3808. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  3809. "op": "Conv2DBackpropFilter"
  3810. }
  3811. },
  3812. {
  3813. "ph": "X",
  3814. "cat": "Op",
  3815. "name": "Conv2DBackpropFilter",
  3816. "pid": 7,
  3817. "tid": 0,
  3818. "ts": 1539815917009245,
  3819. "dur": 9,
  3820. "args": {
  3821. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  3822. "op": "Conv2DBackpropFilter"
  3823. }
  3824. },
  3825. {
  3826. "ph": "X",
  3827. "cat": "Op",
  3828. "name": "Conv2DBackpropFilter",
  3829. "pid": 7,
  3830. "tid": 0,
  3831. "ts": 1539815917009257,
  3832. "dur": 4,
  3833. "args": {
  3834. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  3835. "op": "Conv2DBackpropFilter"
  3836. }
  3837. },
  3838. {
  3839. "ph": "X",
  3840. "cat": "Op",
  3841. "name": "Conv2DBackpropFilter",
  3842. "pid": 7,
  3843. "tid": 0,
  3844. "ts": 1539815917009267,
  3845. "dur": 1684,
  3846. "args": {
  3847. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  3848. "op": "Conv2DBackpropFilter"
  3849. }
  3850. },
  3851. {
  3852. "ph": "X",
  3853. "cat": "Op",
  3854. "name": "Conv2DBackpropFilter",
  3855. "pid": 7,
  3856. "tid": 0,
  3857. "ts": 1539815917011014,
  3858. "dur": 4,
  3859. "args": {
  3860. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  3861. "op": "Conv2DBackpropFilter"
  3862. }
  3863. },
  3864. {
  3865. "ph": "X",
  3866. "cat": "Op",
  3867. "name": "Conv2DBackpropFilter",
  3868. "pid": 7,
  3869. "tid": 0,
  3870. "ts": 1539815917011025,
  3871. "dur": 8,
  3872. "args": {
  3873. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  3874. "op": "Conv2DBackpropFilter"
  3875. }
  3876. },
  3877. {
  3878. "ph": "X",
  3879. "cat": "Op",
  3880. "name": "Conv2DBackpropFilter",
  3881. "pid": 7,
  3882. "tid": 0,
  3883. "ts": 1539815917011102,
  3884. "dur": 4,
  3885. "args": {
  3886. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  3887. "op": "Conv2DBackpropFilter"
  3888. }
  3889. },
  3890. {
  3891. "ph": "X",
  3892. "cat": "Op",
  3893. "name": "Conv2DBackpropFilter",
  3894. "pid": 7,
  3895. "tid": 0,
  3896. "ts": 1539815917011113,
  3897. "dur": 1683,
  3898. "args": {
  3899. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  3900. "op": "Conv2DBackpropFilter"
  3901. }
  3902. },
  3903. {
  3904. "ph": "X",
  3905. "cat": "Op",
  3906. "name": "Conv2DBackpropFilter",
  3907. "pid": 7,
  3908. "tid": 0,
  3909. "ts": 1539815917012847,
  3910. "dur": 283,
  3911. "args": {
  3912. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  3913. "op": "Conv2DBackpropFilter"
  3914. }
  3915. },
  3916. {
  3917. "ph": "X",
  3918. "cat": "Op",
  3919. "name": "Conv2DBackpropFilter",
  3920. "pid": 7,
  3921. "tid": 0,
  3922. "ts": 1539815917013134,
  3923. "dur": 143,
  3924. "args": {
  3925. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  3926. "op": "Conv2DBackpropFilter"
  3927. }
  3928. },
  3929. {
  3930. "ph": "X",
  3931. "cat": "Op",
  3932. "name": "Conv2DBackpropFilter",
  3933. "pid": 7,
  3934. "tid": 0,
  3935. "ts": 1539815917013281,
  3936. "dur": 269,
  3937. "args": {
  3938. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  3939. "op": "Conv2DBackpropFilter"
  3940. }
  3941. },
  3942. {
  3943. "ph": "X",
  3944. "cat": "Op",
  3945. "name": "Conv2DBackpropFilter",
  3946. "pid": 7,
  3947. "tid": 0,
  3948. "ts": 1539815917013555,
  3949. "dur": 74,
  3950. "args": {
  3951. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  3952. "op": "Conv2DBackpropFilter"
  3953. }
  3954. },
  3955. {
  3956. "ph": "X",
  3957. "cat": "Op",
  3958. "name": "Conv2DBackpropFilter",
  3959. "pid": 7,
  3960. "tid": 0,
  3961. "ts": 1539815917013676,
  3962. "dur": 283,
  3963. "args": {
  3964. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  3965. "op": "Conv2DBackpropFilter"
  3966. }
  3967. },
  3968. {
  3969. "ph": "X",
  3970. "cat": "Op",
  3971. "name": "Conv2DBackpropFilter",
  3972. "pid": 7,
  3973. "tid": 0,
  3974. "ts": 1539815917013963,
  3975. "dur": 144,
  3976. "args": {
  3977. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  3978. "op": "Conv2DBackpropFilter"
  3979. }
  3980. },
  3981. {
  3982. "ph": "X",
  3983. "cat": "Op",
  3984. "name": "Conv2DBackpropFilter",
  3985. "pid": 7,
  3986. "tid": 0,
  3987. "ts": 1539815917014111,
  3988. "dur": 244,
  3989. "args": {
  3990. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  3991. "op": "Conv2DBackpropFilter"
  3992. }
  3993. },
  3994. {
  3995. "ph": "X",
  3996. "cat": "Op",
  3997. "name": "Conv2DBackpropFilter",
  3998. "pid": 7,
  3999. "tid": 0,
  4000. "ts": 1539815917014359,
  4001. "dur": 74,
  4002. "args": {
  4003. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  4004. "op": "Conv2DBackpropFilter"
  4005. }
  4006. },
  4007. {
  4008. "ph": "X",
  4009. "cat": "Op",
  4010. "name": "Conv2DBackpropFilter",
  4011. "pid": 7,
  4012. "tid": 0,
  4013. "ts": 1539815917014476,
  4014. "dur": 283,
  4015. "args": {
  4016. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  4017. "op": "Conv2DBackpropFilter"
  4018. }
  4019. },
  4020. {
  4021. "ph": "X",
  4022. "cat": "Op",
  4023. "name": "Conv2DBackpropFilter",
  4024. "pid": 7,
  4025. "tid": 0,
  4026. "ts": 1539815917014767,
  4027. "dur": 143,
  4028. "args": {
  4029. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  4030. "op": "Conv2DBackpropFilter"
  4031. }
  4032. },
  4033. {
  4034. "ph": "X",
  4035. "cat": "Op",
  4036. "name": "Conv2DBackpropFilter",
  4037. "pid": 7,
  4038. "tid": 0,
  4039. "ts": 1539815917014914,
  4040. "dur": 269,
  4041. "args": {
  4042. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  4043. "op": "Conv2DBackpropFilter"
  4044. }
  4045. },
  4046. {
  4047. "ph": "X",
  4048. "cat": "Op",
  4049. "name": "Conv2DBackpropFilter",
  4050. "pid": 7,
  4051. "tid": 0,
  4052. "ts": 1539815917015188,
  4053. "dur": 74,
  4054. "args": {
  4055. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  4056. "op": "Conv2DBackpropFilter"
  4057. }
  4058. },
  4059. {
  4060. "ph": "X",
  4061. "cat": "Op",
  4062. "name": "Conv2DBackpropFilter",
  4063. "pid": 7,
  4064. "tid": 0,
  4065. "ts": 1539815917015266,
  4066. "dur": 22,
  4067. "args": {
  4068. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  4069. "op": "Conv2DBackpropFilter"
  4070. }
  4071. },
  4072. {
  4073. "ph": "X",
  4074. "cat": "Op",
  4075. "name": "Conv2DBackpropInput",
  4076. "pid": 7,
  4077. "tid": 0,
  4078. "ts": 1539815917015291,
  4079. "dur": 22,
  4080. "args": {
  4081. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  4082. "op": "Conv2DBackpropInput"
  4083. }
  4084. },
  4085. {
  4086. "ph": "X",
  4087. "cat": "Op",
  4088. "name": "Conv2DBackpropInput",
  4089. "pid": 7,
  4090. "tid": 0,
  4091. "ts": 1539815917015320,
  4092. "dur": 14,
  4093. "args": {
  4094. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  4095. "op": "Conv2DBackpropInput"
  4096. }
  4097. },
  4098. {
  4099. "ph": "X",
  4100. "cat": "Op",
  4101. "name": "Conv2DBackpropInput",
  4102. "pid": 7,
  4103. "tid": 0,
  4104. "ts": 1539815917015338,
  4105. "dur": 2370,
  4106. "args": {
  4107. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  4108. "op": "Conv2DBackpropInput"
  4109. }
  4110. },
  4111. {
  4112. "ph": "X",
  4113. "cat": "Op",
  4114. "name": "Conv2DBackpropInput",
  4115. "pid": 7,
  4116. "tid": 0,
  4117. "ts": 1539815917017752,
  4118. "dur": 14,
  4119. "args": {
  4120. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  4121. "op": "Conv2DBackpropInput"
  4122. }
  4123. },
  4124. {
  4125. "ph": "X",
  4126. "cat": "Op",
  4127. "name": "Conv2DBackpropInput",
  4128. "pid": 7,
  4129. "tid": 0,
  4130. "ts": 1539815917017774,
  4131. "dur": 2373,
  4132. "args": {
  4133. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  4134. "op": "Conv2DBackpropInput"
  4135. }
  4136. },
  4137. {
  4138. "ph": "X",
  4139. "cat": "Op",
  4140. "name": "Conv2DBackpropInput",
  4141. "pid": 7,
  4142. "tid": 0,
  4143. "ts": 1539815917020208,
  4144. "dur": 4,
  4145. "args": {
  4146. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  4147. "op": "Conv2DBackpropInput"
  4148. }
  4149. },
  4150. {
  4151. "ph": "X",
  4152. "cat": "Op",
  4153. "name": "Conv2DBackpropInput",
  4154. "pid": 7,
  4155. "tid": 0,
  4156. "ts": 1539815917020222,
  4157. "dur": 3,
  4158. "args": {
  4159. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  4160. "op": "Conv2DBackpropInput"
  4161. }
  4162. },
  4163. {
  4164. "ph": "X",
  4165. "cat": "Op",
  4166. "name": "Conv2DBackpropInput",
  4167. "pid": 7,
  4168. "tid": 0,
  4169. "ts": 1539815917020237,
  4170. "dur": 2533,
  4171. "args": {
  4172. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  4173. "op": "Conv2DBackpropInput"
  4174. }
  4175. },
  4176. {
  4177. "ph": "X",
  4178. "cat": "Op",
  4179. "name": "Conv2DBackpropInput",
  4180. "pid": 7,
  4181. "tid": 0,
  4182. "ts": 1539815917022843,
  4183. "dur": 4,
  4184. "args": {
  4185. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  4186. "op": "Conv2DBackpropInput"
  4187. }
  4188. },
  4189. {
  4190. "ph": "X",
  4191. "cat": "Op",
  4192. "name": "Conv2DBackpropInput",
  4193. "pid": 7,
  4194. "tid": 0,
  4195. "ts": 1539815917022854,
  4196. "dur": 3,
  4197. "args": {
  4198. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  4199. "op": "Conv2DBackpropInput"
  4200. }
  4201. },
  4202. {
  4203. "ph": "X",
  4204. "cat": "Op",
  4205. "name": "Conv2DBackpropInput",
  4206. "pid": 7,
  4207. "tid": 0,
  4208. "ts": 1539815917022868,
  4209. "dur": 2534,
  4210. "args": {
  4211. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  4212. "op": "Conv2DBackpropInput"
  4213. }
  4214. },
  4215. {
  4216. "ph": "X",
  4217. "cat": "Op",
  4218. "name": "Conv2DBackpropInput",
  4219. "pid": 7,
  4220. "tid": 0,
  4221. "ts": 1539815917025451,
  4222. "dur": 70,
  4223. "args": {
  4224. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  4225. "op": "Conv2DBackpropInput"
  4226. }
  4227. },
  4228. {
  4229. "ph": "X",
  4230. "cat": "Op",
  4231. "name": "Conv2DBackpropInput",
  4232. "pid": 7,
  4233. "tid": 0,
  4234. "ts": 1539815917025658,
  4235. "dur": 4,
  4236. "args": {
  4237. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  4238. "op": "Conv2DBackpropInput"
  4239. }
  4240. },
  4241. {
  4242. "ph": "X",
  4243. "cat": "Op",
  4244. "name": "Conv2DBackpropInput",
  4245. "pid": 7,
  4246. "tid": 0,
  4247. "ts": 1539815917025665,
  4248. "dur": 794,
  4249. "args": {
  4250. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  4251. "op": "Conv2DBackpropInput"
  4252. }
  4253. },
  4254. {
  4255. "ph": "X",
  4256. "cat": "Op",
  4257. "name": "Conv2DBackpropInput",
  4258. "pid": 7,
  4259. "tid": 0,
  4260. "ts": 1539815917026464,
  4261. "dur": 78,
  4262. "args": {
  4263. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  4264. "op": "Conv2DBackpropInput"
  4265. }
  4266. },
  4267. {
  4268. "ph": "X",
  4269. "cat": "Op",
  4270. "name": "Conv2DBackpropInput",
  4271. "pid": 7,
  4272. "tid": 0,
  4273. "ts": 1539815917026594,
  4274. "dur": 69,
  4275. "args": {
  4276. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  4277. "op": "Conv2DBackpropInput"
  4278. }
  4279. },
  4280. {
  4281. "ph": "X",
  4282. "cat": "Op",
  4283. "name": "Conv2DBackpropInput",
  4284. "pid": 7,
  4285. "tid": 0,
  4286. "ts": 1539815917026800,
  4287. "dur": 4,
  4288. "args": {
  4289. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  4290. "op": "Conv2DBackpropInput"
  4291. }
  4292. },
  4293. {
  4294. "ph": "X",
  4295. "cat": "Op",
  4296. "name": "Conv2DBackpropInput",
  4297. "pid": 7,
  4298. "tid": 0,
  4299. "ts": 1539815917026808,
  4300. "dur": 794,
  4301. "args": {
  4302. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  4303. "op": "Conv2DBackpropInput"
  4304. }
  4305. },
  4306. {
  4307. "ph": "X",
  4308. "cat": "Op",
  4309. "name": "Conv2DBackpropInput",
  4310. "pid": 7,
  4311. "tid": 0,
  4312. "ts": 1539815917027607,
  4313. "dur": 79,
  4314. "args": {
  4315. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  4316. "op": "Conv2DBackpropInput"
  4317. }
  4318. },
  4319. {
  4320. "ph": "X",
  4321. "cat": "Op",
  4322. "name": "Conv2DBackpropInput",
  4323. "pid": 7,
  4324. "tid": 0,
  4325. "ts": 1539815917027748,
  4326. "dur": 212,
  4327. "args": {
  4328. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  4329. "op": "Conv2DBackpropInput"
  4330. }
  4331. },
  4332. {
  4333. "ph": "X",
  4334. "cat": "Op",
  4335. "name": "Conv2DBackpropInput",
  4336. "pid": 7,
  4337. "tid": 0,
  4338. "ts": 1539815917031026,
  4339. "dur": 215,
  4340. "args": {
  4341. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  4342. "op": "Conv2DBackpropInput"
  4343. }
  4344. },
  4345. {
  4346. "ph": "X",
  4347. "cat": "Op",
  4348. "name": "Conv2DBackpropInput",
  4349. "pid": 7,
  4350. "tid": 0,
  4351. "ts": 1539815917034326,
  4352. "dur": 556,
  4353. "args": {
  4354. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  4355. "op": "Conv2DBackpropInput"
  4356. }
  4357. },
  4358. {
  4359. "ph": "X",
  4360. "cat": "Op",
  4361. "name": "Conv2DBackpropInput",
  4362. "pid": 7,
  4363. "tid": 0,
  4364. "ts": 1539815917034894,
  4365. "dur": 51,
  4366. "args": {
  4367. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  4368. "op": "Conv2DBackpropInput"
  4369. }
  4370. },
  4371. {
  4372. "ph": "X",
  4373. "cat": "Op",
  4374. "name": "Conv2DBackpropInput",
  4375. "pid": 7,
  4376. "tid": 0,
  4377. "ts": 1539815917034948,
  4378. "dur": 243,
  4379. "args": {
  4380. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  4381. "op": "Conv2DBackpropInput"
  4382. }
  4383. },
  4384. {
  4385. "ph": "X",
  4386. "cat": "Op",
  4387. "name": "Conv2DBackpropInput",
  4388. "pid": 7,
  4389. "tid": 0,
  4390. "ts": 1539815917035196,
  4391. "dur": 221,
  4392. "args": {
  4393. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  4394. "op": "Conv2DBackpropInput"
  4395. }
  4396. },
  4397. {
  4398. "ph": "X",
  4399. "cat": "Op",
  4400. "name": "Conv2DBackpropInput",
  4401. "pid": 7,
  4402. "tid": 0,
  4403. "ts": 1539815917035467,
  4404. "dur": 531,
  4405. "args": {
  4406. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  4407. "op": "Conv2DBackpropInput"
  4408. }
  4409. },
  4410. {
  4411. "ph": "X",
  4412. "cat": "Op",
  4413. "name": "Conv2DBackpropInput",
  4414. "pid": 7,
  4415. "tid": 0,
  4416. "ts": 1539815917036003,
  4417. "dur": 50,
  4418. "args": {
  4419. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  4420. "op": "Conv2DBackpropInput"
  4421. }
  4422. },
  4423. {
  4424. "ph": "X",
  4425. "cat": "Op",
  4426. "name": "Conv2DBackpropInput",
  4427. "pid": 7,
  4428. "tid": 0,
  4429. "ts": 1539815917036056,
  4430. "dur": 232,
  4431. "args": {
  4432. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  4433. "op": "Conv2DBackpropInput"
  4434. }
  4435. },
  4436. {
  4437. "ph": "X",
  4438. "cat": "Op",
  4439. "name": "Conv2DBackpropInput",
  4440. "pid": 7,
  4441. "tid": 0,
  4442. "ts": 1539815917036291,
  4443. "dur": 212,
  4444. "args": {
  4445. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  4446. "op": "Conv2DBackpropInput"
  4447. }
  4448. },
  4449. {
  4450. "ph": "X",
  4451. "cat": "Op",
  4452. "name": "Conv2DBackpropInput",
  4453. "pid": 7,
  4454. "tid": 0,
  4455. "ts": 1539815917036545,
  4456. "dur": 499,
  4457. "args": {
  4458. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  4459. "op": "Conv2DBackpropInput"
  4460. }
  4461. },
  4462. {
  4463. "ph": "X",
  4464. "cat": "Op",
  4465. "name": "Conv2DBackpropInput",
  4466. "pid": 7,
  4467. "tid": 0,
  4468. "ts": 1539815917037048,
  4469. "dur": 51,
  4470. "args": {
  4471. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  4472. "op": "Conv2DBackpropInput"
  4473. }
  4474. },
  4475. {
  4476. "ph": "X",
  4477. "cat": "Op",
  4478. "name": "Conv2DBackpropInput",
  4479. "pid": 7,
  4480. "tid": 0,
  4481. "ts": 1539815917037102,
  4482. "dur": 218,
  4483. "args": {
  4484. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  4485. "op": "Conv2DBackpropInput"
  4486. }
  4487. },
  4488. {
  4489. "ph": "X",
  4490. "cat": "Op",
  4491. "name": "Conv2DBackpropInput",
  4492. "pid": 7,
  4493. "tid": 0,
  4494. "ts": 1539815917037323,
  4495. "dur": 196,
  4496. "args": {
  4497. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  4498. "op": "Conv2DBackpropInput"
  4499. }
  4500. },
  4501. {
  4502. "ph": "X",
  4503. "cat": "Op",
  4504. "name": "FusedBatchNormGrad",
  4505. "pid": 7,
  4506. "tid": 0,
  4507. "ts": 1539815917037523,
  4508. "dur": 3,
  4509. "args": {
  4510. "name": "tower_3/training/TFOptimizer/gradients/tower_3/batch_normalization_2/FusedBatchNorm_grad/FusedBatchNormGrad",
  4511. "op": "FusedBatchNormGrad"
  4512. }
  4513. },
  4514. {
  4515. "ph": "X",
  4516. "cat": "Op",
  4517. "name": "FusedBatchNormGrad",
  4518. "pid": 7,
  4519. "tid": 0,
  4520. "ts": 1539815917037530,
  4521. "dur": 2,
  4522. "args": {
  4523. "name": "tower_3/training/TFOptimizer/gradients/tower_3/batch_normalization_2/FusedBatchNorm_grad/FusedBatchNormGrad",
  4524. "op": "FusedBatchNormGrad"
  4525. }
  4526. },
  4527. {
  4528. "ph": "X",
  4529. "cat": "Op",
  4530. "name": "FusedBatchNormGrad",
  4531. "pid": 7,
  4532. "tid": 0,
  4533. "ts": 1539815917037535,
  4534. "dur": 55,
  4535. "args": {
  4536. "name": "tower_3/training/TFOptimizer/gradients/tower_3/batch_normalization_2/FusedBatchNorm_grad/FusedBatchNormGrad",
  4537. "op": "FusedBatchNormGrad"
  4538. }
  4539. },
  4540. {
  4541. "ph": "X",
  4542. "cat": "Op",
  4543. "name": "Mul",
  4544. "pid": 7,
  4545. "tid": 0,
  4546. "ts": 1539815917037594,
  4547. "dur": 26,
  4548. "args": {
  4549. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_1/dropout/mul_grad/Mul",
  4550. "op": "Mul"
  4551. }
  4552. },
  4553. {
  4554. "ph": "X",
  4555. "cat": "Op",
  4556. "name": "Mul",
  4557. "pid": 7,
  4558. "tid": 0,
  4559. "ts": 1539815917037624,
  4560. "dur": 16,
  4561. "args": {
  4562. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_1/dropout/div_grad/RealDiv",
  4563. "op": "Mul"
  4564. }
  4565. },
  4566. {
  4567. "ph": "X",
  4568. "cat": "Op",
  4569. "name": "Transpose",
  4570. "pid": 7,
  4571. "tid": 0,
  4572. "ts": 1539815917037643,
  4573. "dur": 20,
  4574. "args": {
  4575. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_1/dropout/div_grad/RealDiv-0-0-TransposeNCHWToNHWC-LayoutOptimizer",
  4576. "op": "Transpose"
  4577. }
  4578. },
  4579. {
  4580. "ph": "X",
  4581. "cat": "Op",
  4582. "name": "Transpose",
  4583. "pid": 7,
  4584. "tid": 0,
  4585. "ts": 1539815917037667,
  4586. "dur": 22,
  4587. "args": {
  4588. "name": "tower_3/training/TFOptimizer/gradients/tower_3/max_pooling2d_1/MaxPool_grad/MaxPoolGrad-2-TransposeNHWCToNCHW-LayoutOptimizer",
  4589. "op": "Transpose"
  4590. }
  4591. },
  4592. {
  4593. "ph": "X",
  4594. "cat": "Op",
  4595. "name": "MaxPoolGrad",
  4596. "pid": 7,
  4597. "tid": 0,
  4598. "ts": 1539815917037692,
  4599. "dur": 118,
  4600. "args": {
  4601. "name": "tower_3/training/TFOptimizer/gradients/tower_3/max_pooling2d_1/MaxPool_grad/MaxPoolGrad",
  4602. "op": "MaxPoolGrad"
  4603. }
  4604. },
  4605. {
  4606. "ph": "X",
  4607. "cat": "Op",
  4608. "name": "EluGrad",
  4609. "pid": 7,
  4610. "tid": 0,
  4611. "ts": 1539815917037815,
  4612. "dur": 103,
  4613. "args": {
  4614. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Elu_grad/EluGrad",
  4615. "op": "EluGrad"
  4616. }
  4617. },
  4618. {
  4619. "ph": "X",
  4620. "cat": "Op",
  4621. "name": "BiasAddGrad",
  4622. "pid": 7,
  4623. "tid": 0,
  4624. "ts": 1539815917037929,
  4625. "dur": 55,
  4626. "args": {
  4627. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/BiasAdd_grad/BiasAddGrad",
  4628. "op": "BiasAddGrad"
  4629. }
  4630. },
  4631. {
  4632. "ph": "X",
  4633. "cat": "Op",
  4634. "name": "BiasAddGrad",
  4635. "pid": 7,
  4636. "tid": 0,
  4637. "ts": 1539815917038015,
  4638. "dur": 33,
  4639. "args": {
  4640. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/BiasAdd_grad/BiasAddGrad",
  4641. "op": "BiasAddGrad"
  4642. }
  4643. },
  4644. {
  4645. "ph": "X",
  4646. "cat": "Op",
  4647. "name": "BiasAddGrad",
  4648. "pid": 7,
  4649. "tid": 0,
  4650. "ts": 1539815917038052,
  4651. "dur": 5,
  4652. "args": {
  4653. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/BiasAdd_grad/BiasAddGrad",
  4654. "op": "BiasAddGrad"
  4655. }
  4656. },
  4657. {
  4658. "ph": "X",
  4659. "cat": "Op",
  4660. "name": "BiasAddGrad",
  4661. "pid": 7,
  4662. "tid": 0,
  4663. "ts": 1539815917038060,
  4664. "dur": 4,
  4665. "args": {
  4666. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/BiasAdd_grad/BiasAddGrad",
  4667. "op": "BiasAddGrad"
  4668. }
  4669. },
  4670. {
  4671. "ph": "X",
  4672. "cat": "Op",
  4673. "name": "Conv2DBackpropFilter",
  4674. "pid": 7,
  4675. "tid": 0,
  4676. "ts": 1539815917038184,
  4677. "dur": 1957,
  4678. "args": {
  4679. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  4680. "op": "Conv2DBackpropFilter"
  4681. }
  4682. },
  4683. {
  4684. "ph": "X",
  4685. "cat": "Op",
  4686. "name": "Conv2DBackpropFilter",
  4687. "pid": 7,
  4688. "tid": 0,
  4689. "ts": 1539815917040206,
  4690. "dur": 1962,
  4691. "args": {
  4692. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  4693. "op": "Conv2DBackpropFilter"
  4694. }
  4695. },
  4696. {
  4697. "ph": "X",
  4698. "cat": "Op",
  4699. "name": "Conv2DBackpropFilter",
  4700. "pid": 7,
  4701. "tid": 0,
  4702. "ts": 1539815917042234,
  4703. "dur": 3,
  4704. "args": {
  4705. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  4706. "op": "Conv2DBackpropFilter"
  4707. }
  4708. },
  4709. {
  4710. "ph": "X",
  4711. "cat": "Op",
  4712. "name": "Conv2DBackpropFilter",
  4713. "pid": 7,
  4714. "tid": 0,
  4715. "ts": 1539815917042244,
  4716. "dur": 4,
  4717. "args": {
  4718. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  4719. "op": "Conv2DBackpropFilter"
  4720. }
  4721. },
  4722. {
  4723. "ph": "X",
  4724. "cat": "Op",
  4725. "name": "Conv2DBackpropFilter",
  4726. "pid": 7,
  4727. "tid": 0,
  4728. "ts": 1539815917042254,
  4729. "dur": 4,
  4730. "args": {
  4731. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  4732. "op": "Conv2DBackpropFilter"
  4733. }
  4734. },
  4735. {
  4736. "ph": "X",
  4737. "cat": "Op",
  4738. "name": "Conv2DBackpropFilter",
  4739. "pid": 7,
  4740. "tid": 0,
  4741. "ts": 1539815917042264,
  4742. "dur": 1634,
  4743. "args": {
  4744. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  4745. "op": "Conv2DBackpropFilter"
  4746. }
  4747. },
  4748. {
  4749. "ph": "X",
  4750. "cat": "Op",
  4751. "name": "Conv2DBackpropFilter",
  4752. "pid": 7,
  4753. "tid": 0,
  4754. "ts": 1539815917043964,
  4755. "dur": 3,
  4756. "args": {
  4757. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  4758. "op": "Conv2DBackpropFilter"
  4759. }
  4760. },
  4761. {
  4762. "ph": "X",
  4763. "cat": "Op",
  4764. "name": "Conv2DBackpropFilter",
  4765. "pid": 7,
  4766. "tid": 0,
  4767. "ts": 1539815917043975,
  4768. "dur": 4,
  4769. "args": {
  4770. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  4771. "op": "Conv2DBackpropFilter"
  4772. }
  4773. },
  4774. {
  4775. "ph": "X",
  4776. "cat": "Op",
  4777. "name": "Conv2DBackpropFilter",
  4778. "pid": 7,
  4779. "tid": 0,
  4780. "ts": 1539815917043985,
  4781. "dur": 3,
  4782. "args": {
  4783. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  4784. "op": "Conv2DBackpropFilter"
  4785. }
  4786. },
  4787. {
  4788. "ph": "X",
  4789. "cat": "Op",
  4790. "name": "Conv2DBackpropFilter",
  4791. "pid": 7,
  4792. "tid": 0,
  4793. "ts": 1539815917043994,
  4794. "dur": 1639,
  4795. "args": {
  4796. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  4797. "op": "Conv2DBackpropFilter"
  4798. }
  4799. },
  4800. {
  4801. "ph": "X",
  4802. "cat": "Op",
  4803. "name": "Conv2DBackpropFilter",
  4804. "pid": 7,
  4805. "tid": 0,
  4806. "ts": 1539815917045680,
  4807. "dur": 107,
  4808. "args": {
  4809. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  4810. "op": "Conv2DBackpropFilter"
  4811. }
  4812. },
  4813. {
  4814. "ph": "X",
  4815. "cat": "Op",
  4816. "name": "Conv2DBackpropFilter",
  4817. "pid": 7,
  4818. "tid": 0,
  4819. "ts": 1539815917045956,
  4820. "dur": 295,
  4821. "args": {
  4822. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  4823. "op": "Conv2DBackpropFilter"
  4824. }
  4825. },
  4826. {
  4827. "ph": "X",
  4828. "cat": "Op",
  4829. "name": "Conv2DBackpropFilter",
  4830. "pid": 7,
  4831. "tid": 0,
  4832. "ts": 1539815917046256,
  4833. "dur": 4,
  4834. "args": {
  4835. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  4836. "op": "Conv2DBackpropFilter"
  4837. }
  4838. },
  4839. {
  4840. "ph": "X",
  4841. "cat": "Op",
  4842. "name": "Conv2DBackpropFilter",
  4843. "pid": 7,
  4844. "tid": 0,
  4845. "ts": 1539815917046263,
  4846. "dur": 673,
  4847. "args": {
  4848. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  4849. "op": "Conv2DBackpropFilter"
  4850. }
  4851. },
  4852. {
  4853. "ph": "X",
  4854. "cat": "Op",
  4855. "name": "Conv2DBackpropFilter",
  4856. "pid": 7,
  4857. "tid": 0,
  4858. "ts": 1539815917046941,
  4859. "dur": 74,
  4860. "args": {
  4861. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  4862. "op": "Conv2DBackpropFilter"
  4863. }
  4864. },
  4865. {
  4866. "ph": "X",
  4867. "cat": "Op",
  4868. "name": "Conv2DBackpropFilter",
  4869. "pid": 7,
  4870. "tid": 0,
  4871. "ts": 1539815917047069,
  4872. "dur": 107,
  4873. "args": {
  4874. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  4875. "op": "Conv2DBackpropFilter"
  4876. }
  4877. },
  4878. {
  4879. "ph": "X",
  4880. "cat": "Op",
  4881. "name": "Conv2DBackpropFilter",
  4882. "pid": 7,
  4883. "tid": 0,
  4884. "ts": 1539815917047340,
  4885. "dur": 297,
  4886. "args": {
  4887. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  4888. "op": "Conv2DBackpropFilter"
  4889. }
  4890. },
  4891. {
  4892. "ph": "X",
  4893. "cat": "Op",
  4894. "name": "Conv2DBackpropFilter",
  4895. "pid": 7,
  4896. "tid": 0,
  4897. "ts": 1539815917047641,
  4898. "dur": 4,
  4899. "args": {
  4900. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  4901. "op": "Conv2DBackpropFilter"
  4902. }
  4903. },
  4904. {
  4905. "ph": "X",
  4906. "cat": "Op",
  4907. "name": "Conv2DBackpropFilter",
  4908. "pid": 7,
  4909. "tid": 0,
  4910. "ts": 1539815917047655,
  4911. "dur": 671,
  4912. "args": {
  4913. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  4914. "op": "Conv2DBackpropFilter"
  4915. }
  4916. },
  4917. {
  4918. "ph": "X",
  4919. "cat": "Op",
  4920. "name": "Conv2DBackpropFilter",
  4921. "pid": 7,
  4922. "tid": 0,
  4923. "ts": 1539815917048330,
  4924. "dur": 77,
  4925. "args": {
  4926. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  4927. "op": "Conv2DBackpropFilter"
  4928. }
  4929. },
  4930. {
  4931. "ph": "X",
  4932. "cat": "Op",
  4933. "name": "Conv2DBackpropFilter",
  4934. "pid": 7,
  4935. "tid": 0,
  4936. "ts": 1539815917048470,
  4937. "dur": 4,
  4938. "args": {
  4939. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  4940. "op": "Conv2DBackpropFilter"
  4941. }
  4942. },
  4943. {
  4944. "ph": "X",
  4945. "cat": "Op",
  4946. "name": "Conv2DBackpropFilter",
  4947. "pid": 7,
  4948. "tid": 0,
  4949. "ts": 1539815917048481,
  4950. "dur": 4,
  4951. "args": {
  4952. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  4953. "op": "Conv2DBackpropFilter"
  4954. }
  4955. },
  4956. {
  4957. "ph": "X",
  4958. "cat": "Op",
  4959. "name": "Conv2DBackpropFilter",
  4960. "pid": 7,
  4961. "tid": 0,
  4962. "ts": 1539815917048492,
  4963. "dur": 3,
  4964. "args": {
  4965. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  4966. "op": "Conv2DBackpropFilter"
  4967. }
  4968. },
  4969. {
  4970. "ph": "X",
  4971. "cat": "Op",
  4972. "name": "Conv2DBackpropFilter",
  4973. "pid": 7,
  4974. "tid": 0,
  4975. "ts": 1539815917048502,
  4976. "dur": 1633,
  4977. "args": {
  4978. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  4979. "op": "Conv2DBackpropFilter"
  4980. }
  4981. },
  4982. {
  4983. "ph": "X",
  4984. "cat": "Op",
  4985. "name": "Conv2DBackpropFilter",
  4986. "pid": 7,
  4987. "tid": 0,
  4988. "ts": 1539815917050192,
  4989. "dur": 4,
  4990. "args": {
  4991. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  4992. "op": "Conv2DBackpropFilter"
  4993. }
  4994. },
  4995. {
  4996. "ph": "X",
  4997. "cat": "Op",
  4998. "name": "Conv2DBackpropFilter",
  4999. "pid": 7,
  5000. "tid": 0,
  5001. "ts": 1539815917050210,
  5002. "dur": 4,
  5003. "args": {
  5004. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  5005. "op": "Conv2DBackpropFilter"
  5006. }
  5007. },
  5008. {
  5009. "ph": "X",
  5010. "cat": "Op",
  5011. "name": "Conv2DBackpropFilter",
  5012. "pid": 7,
  5013. "tid": 0,
  5014. "ts": 1539815917050223,
  5015. "dur": 3,
  5016. "args": {
  5017. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  5018. "op": "Conv2DBackpropFilter"
  5019. }
  5020. },
  5021. {
  5022. "ph": "X",
  5023. "cat": "Op",
  5024. "name": "Conv2DBackpropFilter",
  5025. "pid": 7,
  5026. "tid": 0,
  5027. "ts": 1539815917050231,
  5028. "dur": 1638,
  5029. "args": {
  5030. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  5031. "op": "Conv2DBackpropFilter"
  5032. }
  5033. },
  5034. {
  5035. "ph": "X",
  5036. "cat": "Op",
  5037. "name": "Conv2DBackpropFilter",
  5038. "pid": 7,
  5039. "tid": 0,
  5040. "ts": 1539815917051918,
  5041. "dur": 153,
  5042. "args": {
  5043. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  5044. "op": "Conv2DBackpropFilter"
  5045. }
  5046. },
  5047. {
  5048. "ph": "X",
  5049. "cat": "Op",
  5050. "name": "Conv2DBackpropFilter",
  5051. "pid": 7,
  5052. "tid": 0,
  5053. "ts": 1539815917052075,
  5054. "dur": 188,
  5055. "args": {
  5056. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  5057. "op": "Conv2DBackpropFilter"
  5058. }
  5059. },
  5060. {
  5061. "ph": "X",
  5062. "cat": "Op",
  5063. "name": "Conv2DBackpropFilter",
  5064. "pid": 7,
  5065. "tid": 0,
  5066. "ts": 1539815917052268,
  5067. "dur": 280,
  5068. "args": {
  5069. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  5070. "op": "Conv2DBackpropFilter"
  5071. }
  5072. },
  5073. {
  5074. "ph": "X",
  5075. "cat": "Op",
  5076. "name": "Conv2DBackpropFilter",
  5077. "pid": 7,
  5078. "tid": 0,
  5079. "ts": 1539815917052551,
  5080. "dur": 20,
  5081. "args": {
  5082. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  5083. "op": "Conv2DBackpropFilter"
  5084. }
  5085. },
  5086. {
  5087. "ph": "X",
  5088. "cat": "Op",
  5089. "name": "Conv2DBackpropFilter",
  5090. "pid": 7,
  5091. "tid": 0,
  5092. "ts": 1539815917052615,
  5093. "dur": 159,
  5094. "args": {
  5095. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  5096. "op": "Conv2DBackpropFilter"
  5097. }
  5098. },
  5099. {
  5100. "ph": "X",
  5101. "cat": "Op",
  5102. "name": "Conv2DBackpropFilter",
  5103. "pid": 7,
  5104. "tid": 0,
  5105. "ts": 1539815917052778,
  5106. "dur": 186,
  5107. "args": {
  5108. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  5109. "op": "Conv2DBackpropFilter"
  5110. }
  5111. },
  5112. {
  5113. "ph": "X",
  5114. "cat": "Op",
  5115. "name": "Conv2DBackpropFilter",
  5116. "pid": 7,
  5117. "tid": 0,
  5118. "ts": 1539815917052968,
  5119. "dur": 281,
  5120. "args": {
  5121. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  5122. "op": "Conv2DBackpropFilter"
  5123. }
  5124. },
  5125. {
  5126. "ph": "X",
  5127. "cat": "Op",
  5128. "name": "Conv2DBackpropFilter",
  5129. "pid": 7,
  5130. "tid": 0,
  5131. "ts": 1539815917053253,
  5132. "dur": 20,
  5133. "args": {
  5134. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  5135. "op": "Conv2DBackpropFilter"
  5136. }
  5137. },
  5138. {
  5139. "ph": "X",
  5140. "cat": "Op",
  5141. "name": "Conv2DBackpropFilter",
  5142. "pid": 7,
  5143. "tid": 0,
  5144. "ts": 1539815917053313,
  5145. "dur": 159,
  5146. "args": {
  5147. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  5148. "op": "Conv2DBackpropFilter"
  5149. }
  5150. },
  5151. {
  5152. "ph": "X",
  5153. "cat": "Op",
  5154. "name": "Conv2DBackpropFilter",
  5155. "pid": 7,
  5156. "tid": 0,
  5157. "ts": 1539815917053475,
  5158. "dur": 188,
  5159. "args": {
  5160. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  5161. "op": "Conv2DBackpropFilter"
  5162. }
  5163. },
  5164. {
  5165. "ph": "X",
  5166. "cat": "Op",
  5167. "name": "Conv2DBackpropFilter",
  5168. "pid": 7,
  5169. "tid": 0,
  5170. "ts": 1539815917053669,
  5171. "dur": 281,
  5172. "args": {
  5173. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  5174. "op": "Conv2DBackpropFilter"
  5175. }
  5176. },
  5177. {
  5178. "ph": "X",
  5179. "cat": "Op",
  5180. "name": "Conv2DBackpropFilter",
  5181. "pid": 7,
  5182. "tid": 0,
  5183. "ts": 1539815917053954,
  5184. "dur": 20,
  5185. "args": {
  5186. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  5187. "op": "Conv2DBackpropFilter"
  5188. }
  5189. },
  5190. {
  5191. "ph": "X",
  5192. "cat": "Op",
  5193. "name": "Conv2DBackpropFilter",
  5194. "pid": 7,
  5195. "tid": 0,
  5196. "ts": 1539815917053978,
  5197. "dur": 8,
  5198. "args": {
  5199. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  5200. "op": "Conv2DBackpropFilter"
  5201. }
  5202. },
  5203. {
  5204. "ph": "X",
  5205. "cat": "Op",
  5206. "name": "Conv2DBackpropInput",
  5207. "pid": 7,
  5208. "tid": 0,
  5209. "ts": 1539815917053989,
  5210. "dur": 8,
  5211. "args": {
  5212. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  5213. "op": "Conv2DBackpropInput"
  5214. }
  5215. },
  5216. {
  5217. "ph": "X",
  5218. "cat": "Op",
  5219. "name": "Conv2DBackpropInput",
  5220. "pid": 7,
  5221. "tid": 0,
  5222. "ts": 1539815917054003,
  5223. "dur": 21,
  5224. "args": {
  5225. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  5226. "op": "Conv2DBackpropInput"
  5227. }
  5228. },
  5229. {
  5230. "ph": "X",
  5231. "cat": "Op",
  5232. "name": "Conv2DBackpropInput",
  5233. "pid": 7,
  5234. "tid": 0,
  5235. "ts": 1539815917054028,
  5236. "dur": 2704,
  5237. "args": {
  5238. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  5239. "op": "Conv2DBackpropInput"
  5240. }
  5241. },
  5242. {
  5243. "ph": "X",
  5244. "cat": "Op",
  5245. "name": "Conv2DBackpropInput",
  5246. "pid": 7,
  5247. "tid": 0,
  5248. "ts": 1539815917056774,
  5249. "dur": 22,
  5250. "args": {
  5251. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  5252. "op": "Conv2DBackpropInput"
  5253. }
  5254. },
  5255. {
  5256. "ph": "X",
  5257. "cat": "Op",
  5258. "name": "Conv2DBackpropInput",
  5259. "pid": 7,
  5260. "tid": 0,
  5261. "ts": 1539815917056800,
  5262. "dur": 2710,
  5263. "args": {
  5264. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  5265. "op": "Conv2DBackpropInput"
  5266. }
  5267. },
  5268. {
  5269. "ph": "X",
  5270. "cat": "Op",
  5271. "name": "Conv2DBackpropInput",
  5272. "pid": 7,
  5273. "tid": 0,
  5274. "ts": 1539815917059569,
  5275. "dur": 3,
  5276. "args": {
  5277. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  5278. "op": "Conv2DBackpropInput"
  5279. }
  5280. },
  5281. {
  5282. "ph": "X",
  5283. "cat": "Op",
  5284. "name": "Conv2DBackpropInput",
  5285. "pid": 7,
  5286. "tid": 0,
  5287. "ts": 1539815917059587,
  5288. "dur": 3,
  5289. "args": {
  5290. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  5291. "op": "Conv2DBackpropInput"
  5292. }
  5293. },
  5294. {
  5295. "ph": "X",
  5296. "cat": "Op",
  5297. "name": "Conv2DBackpropInput",
  5298. "pid": 7,
  5299. "tid": 0,
  5300. "ts": 1539815917059602,
  5301. "dur": 1708,
  5302. "args": {
  5303. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  5304. "op": "Conv2DBackpropInput"
  5305. }
  5306. },
  5307. {
  5308. "ph": "X",
  5309. "cat": "Op",
  5310. "name": "Conv2DBackpropInput",
  5311. "pid": 7,
  5312. "tid": 0,
  5313. "ts": 1539815917061365,
  5314. "dur": 4,
  5315. "args": {
  5316. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  5317. "op": "Conv2DBackpropInput"
  5318. }
  5319. },
  5320. {
  5321. "ph": "X",
  5322. "cat": "Op",
  5323. "name": "Conv2DBackpropInput",
  5324. "pid": 7,
  5325. "tid": 0,
  5326. "ts": 1539815917061375,
  5327. "dur": 4,
  5328. "args": {
  5329. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  5330. "op": "Conv2DBackpropInput"
  5331. }
  5332. },
  5333. {
  5334. "ph": "X",
  5335. "cat": "Op",
  5336. "name": "Conv2DBackpropInput",
  5337. "pid": 7,
  5338. "tid": 0,
  5339. "ts": 1539815917061387,
  5340. "dur": 1706,
  5341. "args": {
  5342. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  5343. "op": "Conv2DBackpropInput"
  5344. }
  5345. },
  5346. {
  5347. "ph": "X",
  5348. "cat": "Op",
  5349. "name": "Conv2DBackpropInput",
  5350. "pid": 7,
  5351. "tid": 0,
  5352. "ts": 1539815917063147,
  5353. "dur": 62,
  5354. "args": {
  5355. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  5356. "op": "Conv2DBackpropInput"
  5357. }
  5358. },
  5359. {
  5360. "ph": "X",
  5361. "cat": "Op",
  5362. "name": "Conv2DBackpropInput",
  5363. "pid": 7,
  5364. "tid": 0,
  5365. "ts": 1539815917063506,
  5366. "dur": 4,
  5367. "args": {
  5368. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  5369. "op": "Conv2DBackpropInput"
  5370. }
  5371. },
  5372. {
  5373. "ph": "X",
  5374. "cat": "Op",
  5375. "name": "Conv2DBackpropInput",
  5376. "pid": 7,
  5377. "tid": 0,
  5378. "ts": 1539815917063513,
  5379. "dur": 658,
  5380. "args": {
  5381. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  5382. "op": "Conv2DBackpropInput"
  5383. }
  5384. },
  5385. {
  5386. "ph": "X",
  5387. "cat": "Op",
  5388. "name": "Conv2DBackpropInput",
  5389. "pid": 7,
  5390. "tid": 0,
  5391. "ts": 1539815917064176,
  5392. "dur": 139,
  5393. "args": {
  5394. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  5395. "op": "Conv2DBackpropInput"
  5396. }
  5397. },
  5398. {
  5399. "ph": "X",
  5400. "cat": "Op",
  5401. "name": "Conv2DBackpropInput",
  5402. "pid": 7,
  5403. "tid": 0,
  5404. "ts": 1539815917064363,
  5405. "dur": 66,
  5406. "args": {
  5407. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  5408. "op": "Conv2DBackpropInput"
  5409. }
  5410. },
  5411. {
  5412. "ph": "X",
  5413. "cat": "Op",
  5414. "name": "Conv2DBackpropInput",
  5415. "pid": 7,
  5416. "tid": 0,
  5417. "ts": 1539815917064741,
  5418. "dur": 4,
  5419. "args": {
  5420. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  5421. "op": "Conv2DBackpropInput"
  5422. }
  5423. },
  5424. {
  5425. "ph": "X",
  5426. "cat": "Op",
  5427. "name": "Conv2DBackpropInput",
  5428. "pid": 7,
  5429. "tid": 0,
  5430. "ts": 1539815917064748,
  5431. "dur": 661,
  5432. "args": {
  5433. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  5434. "op": "Conv2DBackpropInput"
  5435. }
  5436. },
  5437. {
  5438. "ph": "X",
  5439. "cat": "Op",
  5440. "name": "Conv2DBackpropInput",
  5441. "pid": 7,
  5442. "tid": 0,
  5443. "ts": 1539815917065413,
  5444. "dur": 141,
  5445. "args": {
  5446. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  5447. "op": "Conv2DBackpropInput"
  5448. }
  5449. },
  5450. {
  5451. "ph": "X",
  5452. "cat": "Op",
  5453. "name": "Conv2DBackpropInput",
  5454. "pid": 7,
  5455. "tid": 0,
  5456. "ts": 1539815917065628,
  5457. "dur": 63,
  5458. "args": {
  5459. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  5460. "op": "Conv2DBackpropInput"
  5461. }
  5462. },
  5463. {
  5464. "ph": "X",
  5465. "cat": "Op",
  5466. "name": "Conv2DBackpropInput",
  5467. "pid": 7,
  5468. "tid": 0,
  5469. "ts": 1539815917066751,
  5470. "dur": 65,
  5471. "args": {
  5472. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  5473. "op": "Conv2DBackpropInput"
  5474. }
  5475. },
  5476. {
  5477. "ph": "X",
  5478. "cat": "Op",
  5479. "name": "Conv2DBackpropInput",
  5480. "pid": 7,
  5481. "tid": 0,
  5482. "ts": 1539815917067893,
  5483. "dur": 294,
  5484. "args": {
  5485. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  5486. "op": "Conv2DBackpropInput"
  5487. }
  5488. },
  5489. {
  5490. "ph": "X",
  5491. "cat": "Op",
  5492. "name": "Conv2DBackpropInput",
  5493. "pid": 7,
  5494. "tid": 0,
  5495. "ts": 1539815917068191,
  5496. "dur": 15,
  5497. "args": {
  5498. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  5499. "op": "Conv2DBackpropInput"
  5500. }
  5501. },
  5502. {
  5503. "ph": "X",
  5504. "cat": "Op",
  5505. "name": "Conv2DBackpropInput",
  5506. "pid": 7,
  5507. "tid": 0,
  5508. "ts": 1539815917068209,
  5509. "dur": 226,
  5510. "args": {
  5511. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  5512. "op": "Conv2DBackpropInput"
  5513. }
  5514. },
  5515. {
  5516. "ph": "X",
  5517. "cat": "Op",
  5518. "name": "Conv2DBackpropInput",
  5519. "pid": 7,
  5520. "tid": 0,
  5521. "ts": 1539815917068440,
  5522. "dur": 139,
  5523. "args": {
  5524. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  5525. "op": "Conv2DBackpropInput"
  5526. }
  5527. },
  5528. {
  5529. "ph": "X",
  5530. "cat": "Op",
  5531. "name": "Conv2DBackpropInput",
  5532. "pid": 7,
  5533. "tid": 0,
  5534. "ts": 1539815917068622,
  5535. "dur": 292,
  5536. "args": {
  5537. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  5538. "op": "Conv2DBackpropInput"
  5539. }
  5540. },
  5541. {
  5542. "ph": "X",
  5543. "cat": "Op",
  5544. "name": "Conv2DBackpropInput",
  5545. "pid": 7,
  5546. "tid": 0,
  5547. "ts": 1539815917068918,
  5548. "dur": 15,
  5549. "args": {
  5550. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  5551. "op": "Conv2DBackpropInput"
  5552. }
  5553. },
  5554. {
  5555. "ph": "X",
  5556. "cat": "Op",
  5557. "name": "Conv2DBackpropInput",
  5558. "pid": 7,
  5559. "tid": 0,
  5560. "ts": 1539815917068937,
  5561. "dur": 227,
  5562. "args": {
  5563. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  5564. "op": "Conv2DBackpropInput"
  5565. }
  5566. },
  5567. {
  5568. "ph": "X",
  5569. "cat": "Op",
  5570. "name": "Conv2DBackpropInput",
  5571. "pid": 7,
  5572. "tid": 0,
  5573. "ts": 1539815917069169,
  5574. "dur": 141,
  5575. "args": {
  5576. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  5577. "op": "Conv2DBackpropInput"
  5578. }
  5579. },
  5580. {
  5581. "ph": "X",
  5582. "cat": "Op",
  5583. "name": "Conv2DBackpropInput",
  5584. "pid": 7,
  5585. "tid": 0,
  5586. "ts": 1539815917069351,
  5587. "dur": 293,
  5588. "args": {
  5589. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  5590. "op": "Conv2DBackpropInput"
  5591. }
  5592. },
  5593. {
  5594. "ph": "X",
  5595. "cat": "Op",
  5596. "name": "Conv2DBackpropInput",
  5597. "pid": 7,
  5598. "tid": 0,
  5599. "ts": 1539815917069648,
  5600. "dur": 16,
  5601. "args": {
  5602. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  5603. "op": "Conv2DBackpropInput"
  5604. }
  5605. },
  5606. {
  5607. "ph": "X",
  5608. "cat": "Op",
  5609. "name": "Conv2DBackpropInput",
  5610. "pid": 7,
  5611. "tid": 0,
  5612. "ts": 1539815917069667,
  5613. "dur": 223,
  5614. "args": {
  5615. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  5616. "op": "Conv2DBackpropInput"
  5617. }
  5618. },
  5619. {
  5620. "ph": "X",
  5621. "cat": "Op",
  5622. "name": "Conv2DBackpropInput",
  5623. "pid": 7,
  5624. "tid": 0,
  5625. "ts": 1539815917069895,
  5626. "dur": 139,
  5627. "args": {
  5628. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  5629. "op": "Conv2DBackpropInput"
  5630. }
  5631. },
  5632. {
  5633. "ph": "X",
  5634. "cat": "Op",
  5635. "name": "FusedBatchNormGrad",
  5636. "pid": 7,
  5637. "tid": 0,
  5638. "ts": 1539815917070037,
  5639. "dur": 3,
  5640. "args": {
  5641. "name": "tower_3/training/TFOptimizer/gradients/tower_3/batch_normalization_1/FusedBatchNorm_grad/FusedBatchNormGrad",
  5642. "op": "FusedBatchNormGrad"
  5643. }
  5644. },
  5645. {
  5646. "ph": "X",
  5647. "cat": "Op",
  5648. "name": "FusedBatchNormGrad",
  5649. "pid": 7,
  5650. "tid": 0,
  5651. "ts": 1539815917070043,
  5652. "dur": 2,
  5653. "args": {
  5654. "name": "tower_3/training/TFOptimizer/gradients/tower_3/batch_normalization_1/FusedBatchNorm_grad/FusedBatchNormGrad",
  5655. "op": "FusedBatchNormGrad"
  5656. }
  5657. },
  5658. {
  5659. "ph": "X",
  5660. "cat": "Op",
  5661. "name": "FusedBatchNormGrad",
  5662. "pid": 7,
  5663. "tid": 0,
  5664. "ts": 1539815917070049,
  5665. "dur": 108,
  5666. "args": {
  5667. "name": "tower_3/training/TFOptimizer/gradients/tower_3/batch_normalization_1/FusedBatchNorm_grad/FusedBatchNormGrad",
  5668. "op": "FusedBatchNormGrad"
  5669. }
  5670. },
  5671. {
  5672. "ph": "X",
  5673. "cat": "Op",
  5674. "name": "Mul",
  5675. "pid": 7,
  5676. "tid": 0,
  5677. "ts": 1539815917070162,
  5678. "dur": 49,
  5679. "args": {
  5680. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout/dropout/mul_grad/Mul",
  5681. "op": "Mul"
  5682. }
  5683. },
  5684. {
  5685. "ph": "X",
  5686. "cat": "Op",
  5687. "name": "Mul",
  5688. "pid": 7,
  5689. "tid": 0,
  5690. "ts": 1539815917070214,
  5691. "dur": 34,
  5692. "args": {
  5693. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout/dropout/div_grad/RealDiv",
  5694. "op": "Mul"
  5695. }
  5696. },
  5697. {
  5698. "ph": "X",
  5699. "cat": "Op",
  5700. "name": "Transpose",
  5701. "pid": 7,
  5702. "tid": 0,
  5703. "ts": 1539815917070252,
  5704. "dur": 37,
  5705. "args": {
  5706. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout/dropout/div_grad/RealDiv-0-0-TransposeNCHWToNHWC-LayoutOptimizer",
  5707. "op": "Transpose"
  5708. }
  5709. },
  5710. {
  5711. "ph": "X",
  5712. "cat": "Op",
  5713. "name": "Transpose",
  5714. "pid": 7,
  5715. "tid": 0,
  5716. "ts": 1539815917070293,
  5717. "dur": 36,
  5718. "args": {
  5719. "name": "tower_3/training/TFOptimizer/gradients/tower_3/max_pooling2d/MaxPool_grad/MaxPoolGrad-2-TransposeNHWCToNCHW-LayoutOptimizer",
  5720. "op": "Transpose"
  5721. }
  5722. },
  5723. {
  5724. "ph": "X",
  5725. "cat": "Op",
  5726. "name": "MaxPoolGrad",
  5727. "pid": 7,
  5728. "tid": 0,
  5729. "ts": 1539815917070334,
  5730. "dur": 171,
  5731. "args": {
  5732. "name": "tower_3/training/TFOptimizer/gradients/tower_3/max_pooling2d/MaxPool_grad/MaxPoolGrad",
  5733. "op": "MaxPoolGrad"
  5734. }
  5735. },
  5736. {
  5737. "ph": "X",
  5738. "cat": "Op",
  5739. "name": "EluGrad",
  5740. "pid": 7,
  5741. "tid": 0,
  5742. "ts": 1539815917070508,
  5743. "dur": 200,
  5744. "args": {
  5745. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Elu_grad/EluGrad",
  5746. "op": "EluGrad"
  5747. }
  5748. },
  5749. {
  5750. "ph": "X",
  5751. "cat": "Op",
  5752. "name": "BiasAddGrad",
  5753. "pid": 7,
  5754. "tid": 0,
  5755. "ts": 1539815917070718,
  5756. "dur": 98,
  5757. "args": {
  5758. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/BiasAdd_grad/BiasAddGrad",
  5759. "op": "BiasAddGrad"
  5760. }
  5761. },
  5762. {
  5763. "ph": "X",
  5764. "cat": "Op",
  5765. "name": "BiasAddGrad",
  5766. "pid": 7,
  5767. "tid": 0,
  5768. "ts": 1539815917070849,
  5769. "dur": 64,
  5770. "args": {
  5771. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/BiasAdd_grad/BiasAddGrad",
  5772. "op": "BiasAddGrad"
  5773. }
  5774. },
  5775. {
  5776. "ph": "X",
  5777. "cat": "Op",
  5778. "name": "BiasAddGrad",
  5779. "pid": 7,
  5780. "tid": 0,
  5781. "ts": 1539815917070917,
  5782. "dur": 5,
  5783. "args": {
  5784. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/BiasAdd_grad/BiasAddGrad",
  5785. "op": "BiasAddGrad"
  5786. }
  5787. },
  5788. {
  5789. "ph": "X",
  5790. "cat": "Op",
  5791. "name": "BiasAddGrad",
  5792. "pid": 7,
  5793. "tid": 0,
  5794. "ts": 1539815917070925,
  5795. "dur": 4,
  5796. "args": {
  5797. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/BiasAdd_grad/BiasAddGrad",
  5798. "op": "BiasAddGrad"
  5799. }
  5800. },
  5801. {
  5802. "ph": "X",
  5803. "cat": "Op",
  5804. "name": "Conv2DBackpropFilter",
  5805. "pid": 7,
  5806. "tid": 0,
  5807. "ts": 1539815917071048,
  5808. "dur": 214,
  5809. "args": {
  5810. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  5811. "op": "Conv2DBackpropFilter"
  5812. }
  5813. },
  5814. {
  5815. "ph": "X",
  5816. "cat": "Op",
  5817. "name": "Conv2DBackpropFilter",
  5818. "pid": 7,
  5819. "tid": 0,
  5820. "ts": 1539815917071321,
  5821. "dur": 214,
  5822. "args": {
  5823. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  5824. "op": "Conv2DBackpropFilter"
  5825. }
  5826. },
  5827. {
  5828. "ph": "X",
  5829. "cat": "Op",
  5830. "name": "Conv2DBackpropFilter",
  5831. "pid": 7,
  5832. "tid": 0,
  5833. "ts": 1539815917071606,
  5834. "dur": 3,
  5835. "args": {
  5836. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  5837. "op": "Conv2DBackpropFilter"
  5838. }
  5839. },
  5840. {
  5841. "ph": "X",
  5842. "cat": "Op",
  5843. "name": "Conv2DBackpropFilter",
  5844. "pid": 7,
  5845. "tid": 0,
  5846. "ts": 1539815917071617,
  5847. "dur": 3,
  5848. "args": {
  5849. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  5850. "op": "Conv2DBackpropFilter"
  5851. }
  5852. },
  5853. {
  5854. "ph": "X",
  5855. "cat": "Op",
  5856. "name": "Conv2DBackpropFilter",
  5857. "pid": 7,
  5858. "tid": 0,
  5859. "ts": 1539815917071627,
  5860. "dur": 3,
  5861. "args": {
  5862. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  5863. "op": "Conv2DBackpropFilter"
  5864. }
  5865. },
  5866. {
  5867. "ph": "X",
  5868. "cat": "Op",
  5869. "name": "Conv2DBackpropFilter",
  5870. "pid": 7,
  5871. "tid": 0,
  5872. "ts": 1539815917071640,
  5873. "dur": 906,
  5874. "args": {
  5875. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  5876. "op": "Conv2DBackpropFilter"
  5877. }
  5878. },
  5879. {
  5880. "ph": "X",
  5881. "cat": "Op",
  5882. "name": "Conv2DBackpropFilter",
  5883. "pid": 7,
  5884. "tid": 0,
  5885. "ts": 1539815917072609,
  5886. "dur": 3,
  5887. "args": {
  5888. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  5889. "op": "Conv2DBackpropFilter"
  5890. }
  5891. },
  5892. {
  5893. "ph": "X",
  5894. "cat": "Op",
  5895. "name": "Conv2DBackpropFilter",
  5896. "pid": 7,
  5897. "tid": 0,
  5898. "ts": 1539815917072619,
  5899. "dur": 3,
  5900. "args": {
  5901. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  5902. "op": "Conv2DBackpropFilter"
  5903. }
  5904. },
  5905. {
  5906. "ph": "X",
  5907. "cat": "Op",
  5908. "name": "Conv2DBackpropFilter",
  5909. "pid": 7,
  5910. "tid": 0,
  5911. "ts": 1539815917072629,
  5912. "dur": 3,
  5913. "args": {
  5914. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  5915. "op": "Conv2DBackpropFilter"
  5916. }
  5917. },
  5918. {
  5919. "ph": "X",
  5920. "cat": "Op",
  5921. "name": "Conv2DBackpropFilter",
  5922. "pid": 7,
  5923. "tid": 0,
  5924. "ts": 1539815917072640,
  5925. "dur": 907,
  5926. "args": {
  5927. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  5928. "op": "Conv2DBackpropFilter"
  5929. }
  5930. },
  5931. {
  5932. "ph": "X",
  5933. "cat": "Op",
  5934. "name": "Conv2DBackpropFilter",
  5935. "pid": 7,
  5936. "tid": 0,
  5937. "ts": 1539815917073612,
  5938. "dur": 439,
  5939. "args": {
  5940. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  5941. "op": "Conv2DBackpropFilter"
  5942. }
  5943. },
  5944. {
  5945. "ph": "X",
  5946. "cat": "Op",
  5947. "name": "Conv2DBackpropFilter",
  5948. "pid": 7,
  5949. "tid": 0,
  5950. "ts": 1539815917074078,
  5951. "dur": 191,
  5952. "args": {
  5953. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  5954. "op": "Conv2DBackpropFilter"
  5955. }
  5956. },
  5957. {
  5958. "ph": "X",
  5959. "cat": "Op",
  5960. "name": "Conv2DBackpropFilter",
  5961. "pid": 7,
  5962. "tid": 0,
  5963. "ts": 1539815917074272,
  5964. "dur": 4,
  5965. "args": {
  5966. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  5967. "op": "Conv2DBackpropFilter"
  5968. }
  5969. },
  5970. {
  5971. "ph": "X",
  5972. "cat": "Op",
  5973. "name": "Conv2DBackpropFilter",
  5974. "pid": 7,
  5975. "tid": 0,
  5976. "ts": 1539815917074279,
  5977. "dur": 322,
  5978. "args": {
  5979. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  5980. "op": "Conv2DBackpropFilter"
  5981. }
  5982. },
  5983. {
  5984. "ph": "X",
  5985. "cat": "Op",
  5986. "name": "Conv2DBackpropFilter",
  5987. "pid": 7,
  5988. "tid": 0,
  5989. "ts": 1539815917074606,
  5990. "dur": 17,
  5991. "args": {
  5992. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  5993. "op": "Conv2DBackpropFilter"
  5994. }
  5995. },
  5996. {
  5997. "ph": "X",
  5998. "cat": "Op",
  5999. "name": "Conv2DBackpropFilter",
  6000. "pid": 7,
  6001. "tid": 0,
  6002. "ts": 1539815917074672,
  6003. "dur": 439,
  6004. "args": {
  6005. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  6006. "op": "Conv2DBackpropFilter"
  6007. }
  6008. },
  6009. {
  6010. "ph": "X",
  6011. "cat": "Op",
  6012. "name": "Conv2DBackpropFilter",
  6013. "pid": 7,
  6014. "tid": 0,
  6015. "ts": 1539815917075137,
  6016. "dur": 193,
  6017. "args": {
  6018. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  6019. "op": "Conv2DBackpropFilter"
  6020. }
  6021. },
  6022. {
  6023. "ph": "X",
  6024. "cat": "Op",
  6025. "name": "Conv2DBackpropFilter",
  6026. "pid": 7,
  6027. "tid": 0,
  6028. "ts": 1539815917075335,
  6029. "dur": 4,
  6030. "args": {
  6031. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  6032. "op": "Conv2DBackpropFilter"
  6033. }
  6034. },
  6035. {
  6036. "ph": "X",
  6037. "cat": "Op",
  6038. "name": "Conv2DBackpropFilter",
  6039. "pid": 7,
  6040. "tid": 0,
  6041. "ts": 1539815917075342,
  6042. "dur": 322,
  6043. "args": {
  6044. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  6045. "op": "Conv2DBackpropFilter"
  6046. }
  6047. },
  6048. {
  6049. "ph": "X",
  6050. "cat": "Op",
  6051. "name": "Conv2DBackpropFilter",
  6052. "pid": 7,
  6053. "tid": 0,
  6054. "ts": 1539815917075669,
  6055. "dur": 17,
  6056. "args": {
  6057. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  6058. "op": "Conv2DBackpropFilter"
  6059. }
  6060. },
  6061. {
  6062. "ph": "X",
  6063. "cat": "Op",
  6064. "name": "Conv2DBackpropFilter",
  6065. "pid": 7,
  6066. "tid": 0,
  6067. "ts": 1539815917075754,
  6068. "dur": 3,
  6069. "args": {
  6070. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  6071. "op": "Conv2DBackpropFilter"
  6072. }
  6073. },
  6074. {
  6075. "ph": "X",
  6076. "cat": "Op",
  6077. "name": "Conv2DBackpropFilter",
  6078. "pid": 7,
  6079. "tid": 0,
  6080. "ts": 1539815917075764,
  6081. "dur": 3,
  6082. "args": {
  6083. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  6084. "op": "Conv2DBackpropFilter"
  6085. }
  6086. },
  6087. {
  6088. "ph": "X",
  6089. "cat": "Op",
  6090. "name": "Conv2DBackpropFilter",
  6091. "pid": 7,
  6092. "tid": 0,
  6093. "ts": 1539815917075774,
  6094. "dur": 3,
  6095. "args": {
  6096. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  6097. "op": "Conv2DBackpropFilter"
  6098. }
  6099. },
  6100. {
  6101. "ph": "X",
  6102. "cat": "Op",
  6103. "name": "Conv2DBackpropFilter",
  6104. "pid": 7,
  6105. "tid": 0,
  6106. "ts": 1539815917075784,
  6107. "dur": 908,
  6108. "args": {
  6109. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  6110. "op": "Conv2DBackpropFilter"
  6111. }
  6112. },
  6113. {
  6114. "ph": "X",
  6115. "cat": "Op",
  6116. "name": "Conv2DBackpropFilter",
  6117. "pid": 7,
  6118. "tid": 0,
  6119. "ts": 1539815917076751,
  6120. "dur": 3,
  6121. "args": {
  6122. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  6123. "op": "Conv2DBackpropFilter"
  6124. }
  6125. },
  6126. {
  6127. "ph": "X",
  6128. "cat": "Op",
  6129. "name": "Conv2DBackpropFilter",
  6130. "pid": 7,
  6131. "tid": 0,
  6132. "ts": 1539815917076761,
  6133. "dur": 3,
  6134. "args": {
  6135. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  6136. "op": "Conv2DBackpropFilter"
  6137. }
  6138. },
  6139. {
  6140. "ph": "X",
  6141. "cat": "Op",
  6142. "name": "Conv2DBackpropFilter",
  6143. "pid": 7,
  6144. "tid": 0,
  6145. "ts": 1539815917076771,
  6146. "dur": 3,
  6147. "args": {
  6148. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  6149. "op": "Conv2DBackpropFilter"
  6150. }
  6151. },
  6152. {
  6153. "ph": "X",
  6154. "cat": "Op",
  6155. "name": "Conv2DBackpropFilter",
  6156. "pid": 7,
  6157. "tid": 0,
  6158. "ts": 1539815917076780,
  6159. "dur": 906,
  6160. "args": {
  6161. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  6162. "op": "Conv2DBackpropFilter"
  6163. }
  6164. },
  6165. {
  6166. "ph": "X",
  6167. "cat": "Op",
  6168. "name": "Conv2DBackpropFilter",
  6169. "pid": 7,
  6170. "tid": 0,
  6171. "ts": 1539815917077732,
  6172. "dur": 24,
  6173. "args": {
  6174. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  6175. "op": "Conv2DBackpropFilter"
  6176. }
  6177. },
  6178. {
  6179. "ph": "X",
  6180. "cat": "Op",
  6181. "name": "Conv2DBackpropFilter",
  6182. "pid": 7,
  6183. "tid": 0,
  6184. "ts": 1539815917077760,
  6185. "dur": 334,
  6186. "args": {
  6187. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  6188. "op": "Conv2DBackpropFilter"
  6189. }
  6190. },
  6191. {
  6192. "ph": "X",
  6193. "cat": "Op",
  6194. "name": "Conv2DBackpropFilter",
  6195. "pid": 7,
  6196. "tid": 0,
  6197. "ts": 1539815917078098,
  6198. "dur": 1061,
  6199. "args": {
  6200. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  6201. "op": "Conv2DBackpropFilter"
  6202. }
  6203. },
  6204. {
  6205. "ph": "X",
  6206. "cat": "Op",
  6207. "name": "Conv2DBackpropFilter",
  6208. "pid": 7,
  6209. "tid": 0,
  6210. "ts": 1539815917079163,
  6211. "dur": 7,
  6212. "args": {
  6213. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  6214. "op": "Conv2DBackpropFilter"
  6215. }
  6216. },
  6217. {
  6218. "ph": "X",
  6219. "cat": "Op",
  6220. "name": "Conv2DBackpropFilter",
  6221. "pid": 7,
  6222. "tid": 0,
  6223. "ts": 1539815917079225,
  6224. "dur": 24,
  6225. "args": {
  6226. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  6227. "op": "Conv2DBackpropFilter"
  6228. }
  6229. },
  6230. {
  6231. "ph": "X",
  6232. "cat": "Op",
  6233. "name": "Conv2DBackpropFilter",
  6234. "pid": 7,
  6235. "tid": 0,
  6236. "ts": 1539815917079254,
  6237. "dur": 335,
  6238. "args": {
  6239. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  6240. "op": "Conv2DBackpropFilter"
  6241. }
  6242. },
  6243. {
  6244. "ph": "X",
  6245. "cat": "Op",
  6246. "name": "Conv2DBackpropFilter",
  6247. "pid": 7,
  6248. "tid": 0,
  6249. "ts": 1539815917079593,
  6250. "dur": 1061,
  6251. "args": {
  6252. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  6253. "op": "Conv2DBackpropFilter"
  6254. }
  6255. },
  6256. {
  6257. "ph": "X",
  6258. "cat": "Op",
  6259. "name": "Conv2DBackpropFilter",
  6260. "pid": 7,
  6261. "tid": 0,
  6262. "ts": 1539815917080658,
  6263. "dur": 6,
  6264. "args": {
  6265. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  6266. "op": "Conv2DBackpropFilter"
  6267. }
  6268. },
  6269. {
  6270. "ph": "X",
  6271. "cat": "Op",
  6272. "name": "Conv2DBackpropFilter",
  6273. "pid": 7,
  6274. "tid": 0,
  6275. "ts": 1539815917080724,
  6276. "dur": 212,
  6277. "args": {
  6278. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  6279. "op": "Conv2DBackpropFilter"
  6280. }
  6281. },
  6282. {
  6283. "ph": "X",
  6284. "cat": "Op",
  6285. "name": "Conv2DBackpropFilter",
  6286. "pid": 7,
  6287. "tid": 0,
  6288. "ts": 1539815917080945,
  6289. "dur": 4,
  6290. "args": {
  6291. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  6292. "op": "Conv2DBackpropFilter"
  6293. }
  6294. },
  6295. {
  6296. "ph": "X",
  6297. "cat": "Op",
  6298. "name": "Conv2DBackpropInput",
  6299. "pid": 7,
  6300. "tid": 0,
  6301. "ts": 1539815917080952,
  6302. "dur": 4,
  6303. "args": {
  6304. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  6305. "op": "Conv2DBackpropInput"
  6306. }
  6307. },
  6308. {
  6309. "ph": "X",
  6310. "cat": "Op",
  6311. "name": "Conv2DBackpropInput",
  6312. "pid": 7,
  6313. "tid": 0,
  6314. "ts": 1539815917080963,
  6315. "dur": 4,
  6316. "args": {
  6317. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  6318. "op": "Conv2DBackpropInput"
  6319. }
  6320. },
  6321. {
  6322. "ph": "X",
  6323. "cat": "Op",
  6324. "name": "Conv2DBackpropInput",
  6325. "pid": 7,
  6326. "tid": 0,
  6327. "ts": 1539815917080970,
  6328. "dur": 203,
  6329. "args": {
  6330. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  6331. "op": "Conv2DBackpropInput"
  6332. }
  6333. },
  6334. {
  6335. "ph": "X",
  6336. "cat": "Op",
  6337. "name": "Conv2DBackpropInput",
  6338. "pid": 7,
  6339. "tid": 0,
  6340. "ts": 1539815917081213,
  6341. "dur": 5,
  6342. "args": {
  6343. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  6344. "op": "Conv2DBackpropInput"
  6345. }
  6346. },
  6347. {
  6348. "ph": "X",
  6349. "cat": "Op",
  6350. "name": "Conv2DBackpropInput",
  6351. "pid": 7,
  6352. "tid": 0,
  6353. "ts": 1539815917081233,
  6354. "dur": 206,
  6355. "args": {
  6356. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  6357. "op": "Conv2DBackpropInput"
  6358. }
  6359. },
  6360. {
  6361. "ph": "X",
  6362. "cat": "Op",
  6363. "name": "Conv2DBackpropInput",
  6364. "pid": 7,
  6365. "tid": 0,
  6366. "ts": 1539815917081495,
  6367. "dur": 3,
  6368. "args": {
  6369. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  6370. "op": "Conv2DBackpropInput"
  6371. }
  6372. },
  6373. {
  6374. "ph": "X",
  6375. "cat": "Op",
  6376. "name": "Conv2DBackpropInput",
  6377. "pid": 7,
  6378. "tid": 0,
  6379. "ts": 1539815917081508,
  6380. "dur": 3,
  6381. "args": {
  6382. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  6383. "op": "Conv2DBackpropInput"
  6384. }
  6385. },
  6386. {
  6387. "ph": "X",
  6388. "cat": "Op",
  6389. "name": "Conv2DBackpropInput",
  6390. "pid": 7,
  6391. "tid": 0,
  6392. "ts": 1539815917081522,
  6393. "dur": 2840,
  6394. "args": {
  6395. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  6396. "op": "Conv2DBackpropInput"
  6397. }
  6398. },
  6399. {
  6400. "ph": "X",
  6401. "cat": "Op",
  6402. "name": "Conv2DBackpropInput",
  6403. "pid": 7,
  6404. "tid": 0,
  6405. "ts": 1539815917084422,
  6406. "dur": 4,
  6407. "args": {
  6408. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  6409. "op": "Conv2DBackpropInput"
  6410. }
  6411. },
  6412. {
  6413. "ph": "X",
  6414. "cat": "Op",
  6415. "name": "Conv2DBackpropInput",
  6416. "pid": 7,
  6417. "tid": 0,
  6418. "ts": 1539815917084434,
  6419. "dur": 3,
  6420. "args": {
  6421. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  6422. "op": "Conv2DBackpropInput"
  6423. }
  6424. },
  6425. {
  6426. "ph": "X",
  6427. "cat": "Op",
  6428. "name": "Conv2DBackpropInput",
  6429. "pid": 7,
  6430. "tid": 0,
  6431. "ts": 1539815917084449,
  6432. "dur": 2844,
  6433. "args": {
  6434. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  6435. "op": "Conv2DBackpropInput"
  6436. }
  6437. },
  6438. {
  6439. "ph": "X",
  6440. "cat": "Op",
  6441. "name": "Conv2DBackpropInput",
  6442. "pid": 7,
  6443. "tid": 0,
  6444. "ts": 1539815917087347,
  6445. "dur": 15,
  6446. "args": {
  6447. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  6448. "op": "Conv2DBackpropInput"
  6449. }
  6450. },
  6451. {
  6452. "ph": "X",
  6453. "cat": "Op",
  6454. "name": "Conv2DBackpropInput",
  6455. "pid": 7,
  6456. "tid": 0,
  6457. "ts": 1539815917087555,
  6458. "dur": 4,
  6459. "args": {
  6460. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  6461. "op": "Conv2DBackpropInput"
  6462. }
  6463. },
  6464. {
  6465. "ph": "X",
  6466. "cat": "Op",
  6467. "name": "Conv2DBackpropInput",
  6468. "pid": 7,
  6469. "tid": 0,
  6470. "ts": 1539815917087564,
  6471. "dur": 328,
  6472. "args": {
  6473. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  6474. "op": "Conv2DBackpropInput"
  6475. }
  6476. },
  6477. {
  6478. "ph": "X",
  6479. "cat": "Op",
  6480. "name": "Conv2DBackpropInput",
  6481. "pid": 7,
  6482. "tid": 0,
  6483. "ts": 1539815917087895,
  6484. "dur": 18,
  6485. "args": {
  6486. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  6487. "op": "Conv2DBackpropInput"
  6488. }
  6489. },
  6490. {
  6491. "ph": "X",
  6492. "cat": "Op",
  6493. "name": "Conv2DBackpropInput",
  6494. "pid": 7,
  6495. "tid": 0,
  6496. "ts": 1539815917087963,
  6497. "dur": 14,
  6498. "args": {
  6499. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  6500. "op": "Conv2DBackpropInput"
  6501. }
  6502. },
  6503. {
  6504. "ph": "X",
  6505. "cat": "Op",
  6506. "name": "Conv2DBackpropInput",
  6507. "pid": 7,
  6508. "tid": 0,
  6509. "ts": 1539815917088175,
  6510. "dur": 4,
  6511. "args": {
  6512. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  6513. "op": "Conv2DBackpropInput"
  6514. }
  6515. },
  6516. {
  6517. "ph": "X",
  6518. "cat": "Op",
  6519. "name": "Conv2DBackpropInput",
  6520. "pid": 7,
  6521. "tid": 0,
  6522. "ts": 1539815917088182,
  6523. "dur": 328,
  6524. "args": {
  6525. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  6526. "op": "Conv2DBackpropInput"
  6527. }
  6528. },
  6529. {
  6530. "ph": "X",
  6531. "cat": "Op",
  6532. "name": "Conv2DBackpropInput",
  6533. "pid": 7,
  6534. "tid": 0,
  6535. "ts": 1539815917088514,
  6536. "dur": 18,
  6537. "args": {
  6538. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  6539. "op": "Conv2DBackpropInput"
  6540. }
  6541. },
  6542. {
  6543. "ph": "X",
  6544. "cat": "Op",
  6545. "name": "Conv2DBackpropInput",
  6546. "pid": 7,
  6547. "tid": 0,
  6548. "ts": 1539815917088585,
  6549. "dur": 15,
  6550. "args": {
  6551. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  6552. "op": "Conv2DBackpropInput"
  6553. }
  6554. },
  6555. {
  6556. "ph": "X",
  6557. "cat": "Op",
  6558. "name": "Conv2DBackpropInput",
  6559. "pid": 7,
  6560. "tid": 0,
  6561. "ts": 1539815917089137,
  6562. "dur": 15,
  6563. "args": {
  6564. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  6565. "op": "Conv2DBackpropInput"
  6566. }
  6567. },
  6568. {
  6569. "ph": "X",
  6570. "cat": "Op",
  6571. "name": "Conv2DBackpropInput",
  6572. "pid": 7,
  6573. "tid": 0,
  6574. "ts": 1539815917089710,
  6575. "dur": 902,
  6576. "args": {
  6577. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  6578. "op": "Conv2DBackpropInput"
  6579. }
  6580. },
  6581. {
  6582. "ph": "X",
  6583. "cat": "Op",
  6584. "name": "Conv2DBackpropInput",
  6585. "pid": 7,
  6586. "tid": 0,
  6587. "ts": 1539815917090615,
  6588. "dur": 5,
  6589. "args": {
  6590. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  6591. "op": "Conv2DBackpropInput"
  6592. }
  6593. },
  6594. {
  6595. "ph": "X",
  6596. "cat": "Op",
  6597. "name": "Conv2DBackpropInput",
  6598. "pid": 7,
  6599. "tid": 0,
  6600. "ts": 1539815917090624,
  6601. "dur": 411,
  6602. "args": {
  6603. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  6604. "op": "Conv2DBackpropInput"
  6605. }
  6606. },
  6607. {
  6608. "ph": "X",
  6609. "cat": "Op",
  6610. "name": "Conv2DBackpropInput",
  6611. "pid": 7,
  6612. "tid": 0,
  6613. "ts": 1539815917091039,
  6614. "dur": 16,
  6615. "args": {
  6616. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  6617. "op": "Conv2DBackpropInput"
  6618. }
  6619. },
  6620. {
  6621. "ph": "X",
  6622. "cat": "Op",
  6623. "name": "Conv2DBackpropInput",
  6624. "pid": 7,
  6625. "tid": 0,
  6626. "ts": 1539815917091105,
  6627. "dur": 904,
  6628. "args": {
  6629. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  6630. "op": "Conv2DBackpropInput"
  6631. }
  6632. },
  6633. {
  6634. "ph": "X",
  6635. "cat": "Op",
  6636. "name": "Conv2DBackpropInput",
  6637. "pid": 7,
  6638. "tid": 0,
  6639. "ts": 1539815917092012,
  6640. "dur": 6,
  6641. "args": {
  6642. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  6643. "op": "Conv2DBackpropInput"
  6644. }
  6645. },
  6646. {
  6647. "ph": "X",
  6648. "cat": "Op",
  6649. "name": "Conv2DBackpropInput",
  6650. "pid": 7,
  6651. "tid": 0,
  6652. "ts": 1539815917092022,
  6653. "dur": 411,
  6654. "args": {
  6655. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  6656. "op": "Conv2DBackpropInput"
  6657. }
  6658. },
  6659. {
  6660. "ph": "X",
  6661. "cat": "Op",
  6662. "name": "Conv2DBackpropInput",
  6663. "pid": 7,
  6664. "tid": 0,
  6665. "ts": 1539815917092437,
  6666. "dur": 15,
  6667. "args": {
  6668. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  6669. "op": "Conv2DBackpropInput"
  6670. }
  6671. },
  6672. {
  6673. "ph": "X",
  6674. "cat": "Op",
  6675. "name": "Conv2DBackpropInput",
  6676. "pid": 7,
  6677. "tid": 0,
  6678. "ts": 1539815917092491,
  6679. "dur": 4,
  6680. "args": {
  6681. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  6682. "op": "Conv2DBackpropInput"
  6683. }
  6684. },
  6685. {
  6686. "ph": "X",
  6687. "cat": "Op",
  6688. "name": "Conv2DBackpropInput",
  6689. "pid": 7,
  6690. "tid": 0,
  6691. "ts": 1539815917092516,
  6692. "dur": 206,
  6693. "args": {
  6694. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  6695. "op": "Conv2DBackpropInput"
  6696. }
  6697. },
  6698. {
  6699. "ph": "X",
  6700. "cat": "Op",
  6701. "name": "FusedBatchNormGrad",
  6702. "pid": 7,
  6703. "tid": 0,
  6704. "ts": 1539815917092726,
  6705. "dur": 3,
  6706. "args": {
  6707. "name": "tower_3/training/TFOptimizer/gradients/tower_3/batch_normalization/FusedBatchNorm_grad/FusedBatchNormGrad",
  6708. "op": "FusedBatchNormGrad"
  6709. }
  6710. },
  6711. {
  6712. "ph": "X",
  6713. "cat": "Op",
  6714. "name": "FusedBatchNormGrad",
  6715. "pid": 7,
  6716. "tid": 0,
  6717. "ts": 1539815917092732,
  6718. "dur": 3,
  6719. "args": {
  6720. "name": "tower_3/training/TFOptimizer/gradients/tower_3/batch_normalization/FusedBatchNorm_grad/FusedBatchNormGrad",
  6721. "op": "FusedBatchNormGrad"
  6722. }
  6723. },
  6724. {
  6725. "ph": "X",
  6726. "cat": "Op",
  6727. "name": "FusedBatchNormGrad",
  6728. "pid": 7,
  6729. "tid": 0,
  6730. "ts": 1539815917092738,
  6731. "dur": 149,
  6732. "args": {
  6733. "name": "tower_3/training/TFOptimizer/gradients/tower_3/batch_normalization/FusedBatchNorm_grad/FusedBatchNormGrad",
  6734. "op": "FusedBatchNormGrad"
  6735. }
  6736. },
  6737. {
  6738. "ph": "X",
  6739. "cat": "Op",
  6740. "name": "ConcatV2",
  6741. "pid": 7,
  6742. "tid": 0,
  6743. "ts": 1539815917093758,
  6744. "dur": 50,
  6745. "args": {
  6746. "name": "training/TFOptimizer/concat_3",
  6747. "op": "ConcatV2"
  6748. }
  6749. },
  6750. {
  6751. "ph": "X",
  6752. "cat": "Op",
  6753. "name": "SplitV",
  6754. "pid": 7,
  6755. "tid": 0,
  6756. "ts": 1539815917563874,
  6757. "dur": 4,
  6758. "args": {
  6759. "name": "training/TFOptimizer/split_7",
  6760. "op": "SplitV"
  6761. }
  6762. },
  6763. {
  6764. "ph": "X",
  6765. "cat": "Op",
  6766. "name": "SplitV",
  6767. "pid": 7,
  6768. "tid": 0,
  6769. "ts": 1539815917563892,
  6770. "dur": 3,
  6771. "args": {
  6772. "name": "training/TFOptimizer/split_7",
  6773. "op": "SplitV"
  6774. }
  6775. },
  6776. {
  6777. "ph": "X",
  6778. "cat": "Op",
  6779. "name": "SplitV",
  6780. "pid": 7,
  6781. "tid": 0,
  6782. "ts": 1539815917563904,
  6783. "dur": 3,
  6784. "args": {
  6785. "name": "training/TFOptimizer/split_7",
  6786. "op": "SplitV"
  6787. }
  6788. },
  6789. {
  6790. "ph": "X",
  6791. "cat": "Op",
  6792. "name": "SplitV",
  6793. "pid": 7,
  6794. "tid": 0,
  6795. "ts": 1539815917563919,
  6796. "dur": 3,
  6797. "args": {
  6798. "name": "training/TFOptimizer/split_7",
  6799. "op": "SplitV"
  6800. }
  6801. },
  6802. {
  6803. "ph": "X",
  6804. "cat": "Op",
  6805. "name": "SplitV",
  6806. "pid": 7,
  6807. "tid": 0,
  6808. "ts": 1539815917563931,
  6809. "dur": 2,
  6810. "args": {
  6811. "name": "training/TFOptimizer/split_7",
  6812. "op": "SplitV"
  6813. }
  6814. },
  6815. {
  6816. "ph": "X",
  6817. "cat": "Op",
  6818. "name": "SplitV",
  6819. "pid": 7,
  6820. "tid": 0,
  6821. "ts": 1539815917563941,
  6822. "dur": 3,
  6823. "args": {
  6824. "name": "training/TFOptimizer/split_7",
  6825. "op": "SplitV"
  6826. }
  6827. },
  6828. {
  6829. "ph": "X",
  6830. "cat": "Op",
  6831. "name": "SplitV",
  6832. "pid": 7,
  6833. "tid": 0,
  6834. "ts": 1539815917563953,
  6835. "dur": 5,
  6836. "args": {
  6837. "name": "training/TFOptimizer/split_7",
  6838. "op": "SplitV"
  6839. }
  6840. },
  6841. {
  6842. "ph": "X",
  6843. "cat": "Op",
  6844. "name": "SplitV",
  6845. "pid": 7,
  6846. "tid": 0,
  6847. "ts": 1539815917563967,
  6848. "dur": 3,
  6849. "args": {
  6850. "name": "training/TFOptimizer/split_7",
  6851. "op": "SplitV"
  6852. }
  6853. },
  6854. {
  6855. "ph": "X",
  6856. "cat": "Op",
  6857. "name": "SplitV",
  6858. "pid": 7,
  6859. "tid": 0,
  6860. "ts": 1539815917563978,
  6861. "dur": 2,
  6862. "args": {
  6863. "name": "training/TFOptimizer/split_7",
  6864. "op": "SplitV"
  6865. }
  6866. },
  6867. {
  6868. "ph": "X",
  6869. "cat": "Op",
  6870. "name": "SplitV",
  6871. "pid": 7,
  6872. "tid": 0,
  6873. "ts": 1539815917563988,
  6874. "dur": 3,
  6875. "args": {
  6876. "name": "training/TFOptimizer/split_7",
  6877. "op": "SplitV"
  6878. }
  6879. },
  6880. {
  6881. "ph": "X",
  6882. "cat": "Op",
  6883. "name": "SplitV",
  6884. "pid": 7,
  6885. "tid": 0,
  6886. "ts": 1539815917564001,
  6887. "dur": 11,
  6888. "args": {
  6889. "name": "training/TFOptimizer/split_7",
  6890. "op": "SplitV"
  6891. }
  6892. },
  6893. {
  6894. "ph": "X",
  6895. "cat": "Op",
  6896. "name": "SplitV",
  6897. "pid": 7,
  6898. "tid": 0,
  6899. "ts": 1539815917564025,
  6900. "dur": 3,
  6901. "args": {
  6902. "name": "training/TFOptimizer/split_7",
  6903. "op": "SplitV"
  6904. }
  6905. },
  6906. {
  6907. "ph": "X",
  6908. "cat": "Op",
  6909. "name": "SplitV",
  6910. "pid": 7,
  6911. "tid": 0,
  6912. "ts": 1539815917564038,
  6913. "dur": 8,
  6914. "args": {
  6915. "name": "training/TFOptimizer/split_7",
  6916. "op": "SplitV"
  6917. }
  6918. },
  6919. {
  6920. "ph": "X",
  6921. "cat": "Op",
  6922. "name": "SplitV",
  6923. "pid": 7,
  6924. "tid": 0,
  6925. "ts": 1539815917564071,
  6926. "dur": 3,
  6927. "args": {
  6928. "name": "training/TFOptimizer/split_7",
  6929. "op": "SplitV"
  6930. }
  6931. },
  6932. {
  6933. "ph": "X",
  6934. "cat": "Op",
  6935. "name": "SplitV",
  6936. "pid": 7,
  6937. "tid": 0,
  6938. "ts": 1539815917564125,
  6939. "dur": 4,
  6940. "args": {
  6941. "name": "training/TFOptimizer/split_7",
  6942. "op": "SplitV"
  6943. }
  6944. },
  6945. {
  6946. "ph": "X",
  6947. "cat": "Op",
  6948. "name": "SplitV",
  6949. "pid": 7,
  6950. "tid": 0,
  6951. "ts": 1539815917564153,
  6952. "dur": 3,
  6953. "args": {
  6954. "name": "training/TFOptimizer/split_7",
  6955. "op": "SplitV"
  6956. }
  6957. },
  6958. {
  6959. "ph": "X",
  6960. "cat": "Op",
  6961. "name": "ResourceApplyAdam",
  6962. "pid": 7,
  6963. "tid": 0,
  6964. "ts": 1539815917568319,
  6965. "dur": 4,
  6966. "args": {
  6967. "name": "training/TFOptimizer/Adam/update_3_9/update_batch_normalization_2/beta/replica_3/ResourceApplyAdam",
  6968. "op": "ResourceApplyAdam"
  6969. }
  6970. },
  6971. {
  6972. "ph": "X",
  6973. "cat": "Op",
  6974. "name": "ResourceApplyAdam",
  6975. "pid": 7,
  6976. "tid": 0,
  6977. "ts": 1539815917568331,
  6978. "dur": 3,
  6979. "args": {
  6980. "name": "training/TFOptimizer/Adam/update_3_9/update_batch_normalization_2/beta/replica_3/ResourceApplyAdam",
  6981. "op": "ResourceApplyAdam"
  6982. }
  6983. },
  6984. {
  6985. "ph": "X",
  6986. "cat": "Op",
  6987. "name": "ResourceApplyAdam",
  6988. "pid": 7,
  6989. "tid": 0,
  6990. "ts": 1539815917568414,
  6991. "dur": 6,
  6992. "args": {
  6993. "name": "training/TFOptimizer/Adam/update_3_9/update_batch_normalization_2/beta/replica_3/ResourceApplyAdam",
  6994. "op": "ResourceApplyAdam"
  6995. }
  6996. },
  6997. {
  6998. "ph": "X",
  6999. "cat": "Op",
  7000. "name": "ResourceApplyAdam",
  7001. "pid": 7,
  7002. "tid": 0,
  7003. "ts": 1539815917568539,
  7004. "dur": 4,
  7005. "args": {
  7006. "name": "training/TFOptimizer/Adam/update_3/update_batch_normalization/gamma/replica_3/ResourceApplyAdam",
  7007. "op": "ResourceApplyAdam"
  7008. }
  7009. },
  7010. {
  7011. "ph": "X",
  7012. "cat": "Op",
  7013. "name": "ResourceApplyAdam",
  7014. "pid": 7,
  7015. "tid": 0,
  7016. "ts": 1539815917568550,
  7017. "dur": 3,
  7018. "args": {
  7019. "name": "training/TFOptimizer/Adam/update_3/update_batch_normalization/gamma/replica_3/ResourceApplyAdam",
  7020. "op": "ResourceApplyAdam"
  7021. }
  7022. },
  7023. {
  7024. "ph": "X",
  7025. "cat": "Op",
  7026. "name": "ResourceApplyAdam",
  7027. "pid": 7,
  7028. "tid": 0,
  7029. "ts": 1539815917568562,
  7030. "dur": 4,
  7031. "args": {
  7032. "name": "training/TFOptimizer/Adam/update_3/update_batch_normalization/gamma/replica_3/ResourceApplyAdam",
  7033. "op": "ResourceApplyAdam"
  7034. }
  7035. },
  7036. {
  7037. "ph": "X",
  7038. "cat": "Op",
  7039. "name": "ResourceApplyAdam",
  7040. "pid": 7,
  7041. "tid": 0,
  7042. "ts": 1539815917568656,
  7043. "dur": 3,
  7044. "args": {
  7045. "name": "training/TFOptimizer/Adam/update_3_1/update_batch_normalization/beta/replica_3/ResourceApplyAdam",
  7046. "op": "ResourceApplyAdam"
  7047. }
  7048. },
  7049. {
  7050. "ph": "X",
  7051. "cat": "Op",
  7052. "name": "ResourceApplyAdam",
  7053. "pid": 7,
  7054. "tid": 0,
  7055. "ts": 1539815917568701,
  7056. "dur": 3,
  7057. "args": {
  7058. "name": "training/TFOptimizer/Adam/update_3_1/update_batch_normalization/beta/replica_3/ResourceApplyAdam",
  7059. "op": "ResourceApplyAdam"
  7060. }
  7061. },
  7062. {
  7063. "ph": "X",
  7064. "cat": "Op",
  7065. "name": "ResourceApplyAdam",
  7066. "pid": 7,
  7067. "tid": 0,
  7068. "ts": 1539815917568769,
  7069. "dur": 4,
  7070. "args": {
  7071. "name": "training/TFOptimizer/Adam/update_3_1/update_batch_normalization/beta/replica_3/ResourceApplyAdam",
  7072. "op": "ResourceApplyAdam"
  7073. }
  7074. },
  7075. {
  7076. "ph": "X",
  7077. "cat": "Op",
  7078. "name": "ResourceApplyAdam",
  7079. "pid": 7,
  7080. "tid": 0,
  7081. "ts": 1539815917568859,
  7082. "dur": 4,
  7083. "args": {
  7084. "name": "training/TFOptimizer/Adam/update_3_11/update_conv2d_2/bias/replica_3/ResourceApplyAdam",
  7085. "op": "ResourceApplyAdam"
  7086. }
  7087. },
  7088. {
  7089. "ph": "X",
  7090. "cat": "Op",
  7091. "name": "ResourceApplyAdam",
  7092. "pid": 7,
  7093. "tid": 0,
  7094. "ts": 1539815917568871,
  7095. "dur": 4,
  7096. "args": {
  7097. "name": "training/TFOptimizer/Adam/update_3_11/update_conv2d_2/bias/replica_3/ResourceApplyAdam",
  7098. "op": "ResourceApplyAdam"
  7099. }
  7100. },
  7101. {
  7102. "ph": "X",
  7103. "cat": "Op",
  7104. "name": "ResourceApplyAdam",
  7105. "pid": 7,
  7106. "tid": 0,
  7107. "ts": 1539815917568880,
  7108. "dur": 5,
  7109. "args": {
  7110. "name": "training/TFOptimizer/Adam/update_3_11/update_conv2d_2/bias/replica_3/ResourceApplyAdam",
  7111. "op": "ResourceApplyAdam"
  7112. }
  7113. },
  7114. {
  7115. "ph": "X",
  7116. "cat": "Op",
  7117. "name": "ResourceApplyAdam",
  7118. "pid": 7,
  7119. "tid": 0,
  7120. "ts": 1539815917568961,
  7121. "dur": 4,
  7122. "args": {
  7123. "name": "training/TFOptimizer/Adam/update_3_13/update_dense/bias/replica_3/ResourceApplyAdam",
  7124. "op": "ResourceApplyAdam"
  7125. }
  7126. },
  7127. {
  7128. "ph": "X",
  7129. "cat": "Op",
  7130. "name": "ResourceApplyAdam",
  7131. "pid": 7,
  7132. "tid": 0,
  7133. "ts": 1539815917568971,
  7134. "dur": 4,
  7135. "args": {
  7136. "name": "training/TFOptimizer/Adam/update_3_13/update_dense/bias/replica_3/ResourceApplyAdam",
  7137. "op": "ResourceApplyAdam"
  7138. }
  7139. },
  7140. {
  7141. "ph": "X",
  7142. "cat": "Op",
  7143. "name": "ResourceApplyAdam",
  7144. "pid": 7,
  7145. "tid": 0,
  7146. "ts": 1539815917569027,
  7147. "dur": 5,
  7148. "args": {
  7149. "name": "training/TFOptimizer/Adam/update_3_13/update_dense/bias/replica_3/ResourceApplyAdam",
  7150. "op": "ResourceApplyAdam"
  7151. }
  7152. },
  7153. {
  7154. "ph": "X",
  7155. "cat": "Op",
  7156. "name": "ResourceApplyAdam",
  7157. "pid": 7,
  7158. "tid": 0,
  7159. "ts": 1539815917569102,
  7160. "dur": 3,
  7161. "args": {
  7162. "name": "training/TFOptimizer/Adam/update_3_15/update_dense_1/bias/replica_3/ResourceApplyAdam",
  7163. "op": "ResourceApplyAdam"
  7164. }
  7165. },
  7166. {
  7167. "ph": "X",
  7168. "cat": "Op",
  7169. "name": "ResourceApplyAdam",
  7170. "pid": 7,
  7171. "tid": 0,
  7172. "ts": 1539815917569115,
  7173. "dur": 4,
  7174. "args": {
  7175. "name": "training/TFOptimizer/Adam/update_3_15/update_dense_1/bias/replica_3/ResourceApplyAdam",
  7176. "op": "ResourceApplyAdam"
  7177. }
  7178. },
  7179. {
  7180. "ph": "X",
  7181. "cat": "Op",
  7182. "name": "ResourceApplyAdam",
  7183. "pid": 7,
  7184. "tid": 0,
  7185. "ts": 1539815917569157,
  7186. "dur": 5,
  7187. "args": {
  7188. "name": "training/TFOptimizer/Adam/update_3_15/update_dense_1/bias/replica_3/ResourceApplyAdam",
  7189. "op": "ResourceApplyAdam"
  7190. }
  7191. },
  7192. {
  7193. "ph": "X",
  7194. "cat": "Op",
  7195. "name": "ResourceApplyAdam",
  7196. "pid": 7,
  7197. "tid": 0,
  7198. "ts": 1539815917569267,
  7199. "dur": 3,
  7200. "args": {
  7201. "name": "training/TFOptimizer/Adam/update_3_3/update_conv2d/bias/replica_3/ResourceApplyAdam",
  7202. "op": "ResourceApplyAdam"
  7203. }
  7204. },
  7205. {
  7206. "ph": "X",
  7207. "cat": "Op",
  7208. "name": "ResourceApplyAdam",
  7209. "pid": 7,
  7210. "tid": 0,
  7211. "ts": 1539815917569304,
  7212. "dur": 4,
  7213. "args": {
  7214. "name": "training/TFOptimizer/Adam/update_3_3/update_conv2d/bias/replica_3/ResourceApplyAdam",
  7215. "op": "ResourceApplyAdam"
  7216. }
  7217. },
  7218. {
  7219. "ph": "X",
  7220. "cat": "Op",
  7221. "name": "ResourceApplyAdam",
  7222. "pid": 7,
  7223. "tid": 0,
  7224. "ts": 1539815917569349,
  7225. "dur": 5,
  7226. "args": {
  7227. "name": "training/TFOptimizer/Adam/update_3_3/update_conv2d/bias/replica_3/ResourceApplyAdam",
  7228. "op": "ResourceApplyAdam"
  7229. }
  7230. },
  7231. {
  7232. "ph": "X",
  7233. "cat": "Op",
  7234. "name": "ResourceApplyAdam",
  7235. "pid": 7,
  7236. "tid": 0,
  7237. "ts": 1539815917569517,
  7238. "dur": 4,
  7239. "args": {
  7240. "name": "training/TFOptimizer/Adam/update_3_4/update_batch_normalization_1/gamma/replica_3/ResourceApplyAdam",
  7241. "op": "ResourceApplyAdam"
  7242. }
  7243. },
  7244. {
  7245. "ph": "X",
  7246. "cat": "Op",
  7247. "name": "ResourceApplyAdam",
  7248. "pid": 7,
  7249. "tid": 0,
  7250. "ts": 1539815917569527,
  7251. "dur": 3,
  7252. "args": {
  7253. "name": "training/TFOptimizer/Adam/update_3_4/update_batch_normalization_1/gamma/replica_3/ResourceApplyAdam",
  7254. "op": "ResourceApplyAdam"
  7255. }
  7256. },
  7257. {
  7258. "ph": "X",
  7259. "cat": "Op",
  7260. "name": "ResourceApplyAdam",
  7261. "pid": 7,
  7262. "tid": 0,
  7263. "ts": 1539815917569538,
  7264. "dur": 5,
  7265. "args": {
  7266. "name": "training/TFOptimizer/Adam/update_3_4/update_batch_normalization_1/gamma/replica_3/ResourceApplyAdam",
  7267. "op": "ResourceApplyAdam"
  7268. }
  7269. },
  7270. {
  7271. "ph": "X",
  7272. "cat": "Op",
  7273. "name": "ResourceApplyAdam",
  7274. "pid": 7,
  7275. "tid": 0,
  7276. "ts": 1539815917569661,
  7277. "dur": 4,
  7278. "args": {
  7279. "name": "training/TFOptimizer/Adam/update_3_5/update_batch_normalization_1/beta/replica_3/ResourceApplyAdam",
  7280. "op": "ResourceApplyAdam"
  7281. }
  7282. },
  7283. {
  7284. "ph": "X",
  7285. "cat": "Op",
  7286. "name": "ResourceApplyAdam",
  7287. "pid": 7,
  7288. "tid": 0,
  7289. "ts": 1539815917569700,
  7290. "dur": 3,
  7291. "args": {
  7292. "name": "training/TFOptimizer/Adam/update_3_5/update_batch_normalization_1/beta/replica_3/ResourceApplyAdam",
  7293. "op": "ResourceApplyAdam"
  7294. }
  7295. },
  7296. {
  7297. "ph": "X",
  7298. "cat": "Op",
  7299. "name": "ResourceApplyAdam",
  7300. "pid": 7,
  7301. "tid": 0,
  7302. "ts": 1539815917569711,
  7303. "dur": 4,
  7304. "args": {
  7305. "name": "training/TFOptimizer/Adam/update_3_5/update_batch_normalization_1/beta/replica_3/ResourceApplyAdam",
  7306. "op": "ResourceApplyAdam"
  7307. }
  7308. },
  7309. {
  7310. "ph": "X",
  7311. "cat": "Op",
  7312. "name": "ResourceApplyAdam",
  7313. "pid": 7,
  7314. "tid": 0,
  7315. "ts": 1539815917569790,
  7316. "dur": 3,
  7317. "args": {
  7318. "name": "training/TFOptimizer/Adam/update_3_7/update_conv2d_1/bias/replica_3/ResourceApplyAdam",
  7319. "op": "ResourceApplyAdam"
  7320. }
  7321. },
  7322. {
  7323. "ph": "X",
  7324. "cat": "Op",
  7325. "name": "ResourceApplyAdam",
  7326. "pid": 7,
  7327. "tid": 0,
  7328. "ts": 1539815917569799,
  7329. "dur": 4,
  7330. "args": {
  7331. "name": "training/TFOptimizer/Adam/update_3_7/update_conv2d_1/bias/replica_3/ResourceApplyAdam",
  7332. "op": "ResourceApplyAdam"
  7333. }
  7334. },
  7335. {
  7336. "ph": "X",
  7337. "cat": "Op",
  7338. "name": "ResourceApplyAdam",
  7339. "pid": 7,
  7340. "tid": 0,
  7341. "ts": 1539815917569816,
  7342. "dur": 5,
  7343. "args": {
  7344. "name": "training/TFOptimizer/Adam/update_3_7/update_conv2d_1/bias/replica_3/ResourceApplyAdam",
  7345. "op": "ResourceApplyAdam"
  7346. }
  7347. },
  7348. {
  7349. "ph": "X",
  7350. "cat": "Op",
  7351. "name": "ResourceApplyAdam",
  7352. "pid": 7,
  7353. "tid": 0,
  7354. "ts": 1539815917569890,
  7355. "dur": 4,
  7356. "args": {
  7357. "name": "training/TFOptimizer/Adam/update_3_8/update_batch_normalization_2/gamma/replica_3/ResourceApplyAdam",
  7358. "op": "ResourceApplyAdam"
  7359. }
  7360. },
  7361. {
  7362. "ph": "X",
  7363. "cat": "Op",
  7364. "name": "ResourceApplyAdam",
  7365. "pid": 7,
  7366. "tid": 0,
  7367. "ts": 1539815917569900,
  7368. "dur": 4,
  7369. "args": {
  7370. "name": "training/TFOptimizer/Adam/update_3_8/update_batch_normalization_2/gamma/replica_3/ResourceApplyAdam",
  7371. "op": "ResourceApplyAdam"
  7372. }
  7373. },
  7374. {
  7375. "ph": "X",
  7376. "cat": "Op",
  7377. "name": "ResourceApplyAdam",
  7378. "pid": 7,
  7379. "tid": 0,
  7380. "ts": 1539815917569910,
  7381. "dur": 5,
  7382. "args": {
  7383. "name": "training/TFOptimizer/Adam/update_3_8/update_batch_normalization_2/gamma/replica_3/ResourceApplyAdam",
  7384. "op": "ResourceApplyAdam"
  7385. }
  7386. },
  7387. {
  7388. "ph": "X",
  7389. "cat": "Op",
  7390. "name": "ResourceApplyAdam",
  7391. "pid": 7,
  7392. "tid": 0,
  7393. "ts": 1539815917570042,
  7394. "dur": 15,
  7395. "args": {
  7396. "name": "training/TFOptimizer/Adam/update_3_10/update_conv2d_2/kernel/replica_3/ResourceApplyAdam",
  7397. "op": "ResourceApplyAdam"
  7398. }
  7399. },
  7400. {
  7401. "ph": "X",
  7402. "cat": "Op",
  7403. "name": "ResourceApplyAdam",
  7404. "pid": 7,
  7405. "tid": 0,
  7406. "ts": 1539815917570061,
  7407. "dur": 16,
  7408. "args": {
  7409. "name": "training/TFOptimizer/Adam/update_3_10/update_conv2d_2/kernel/replica_3/ResourceApplyAdam",
  7410. "op": "ResourceApplyAdam"
  7411. }
  7412. },
  7413. {
  7414. "ph": "X",
  7415. "cat": "Op",
  7416. "name": "ResourceApplyAdam",
  7417. "pid": 7,
  7418. "tid": 0,
  7419. "ts": 1539815917570084,
  7420. "dur": 20,
  7421. "args": {
  7422. "name": "training/TFOptimizer/Adam/update_3_10/update_conv2d_2/kernel/replica_3/ResourceApplyAdam",
  7423. "op": "ResourceApplyAdam"
  7424. }
  7425. },
  7426. {
  7427. "ph": "X",
  7428. "cat": "Op",
  7429. "name": "ResourceApplyAdam",
  7430. "pid": 7,
  7431. "tid": 0,
  7432. "ts": 1539815917570193,
  7433. "dur": 13,
  7434. "args": {
  7435. "name": "training/TFOptimizer/Adam/update_3_12/update_dense/kernel/replica_3/ResourceApplyAdam",
  7436. "op": "ResourceApplyAdam"
  7437. }
  7438. },
  7439. {
  7440. "ph": "X",
  7441. "cat": "Op",
  7442. "name": "ResourceApplyAdam",
  7443. "pid": 7,
  7444. "tid": 0,
  7445. "ts": 1539815917570214,
  7446. "dur": 10,
  7447. "args": {
  7448. "name": "training/TFOptimizer/Adam/update_3_12/update_dense/kernel/replica_3/ResourceApplyAdam",
  7449. "op": "ResourceApplyAdam"
  7450. }
  7451. },
  7452. {
  7453. "ph": "X",
  7454. "cat": "Op",
  7455. "name": "ResourceApplyAdam",
  7456. "pid": 7,
  7457. "tid": 0,
  7458. "ts": 1539815917570227,
  7459. "dur": 13,
  7460. "args": {
  7461. "name": "training/TFOptimizer/Adam/update_3_12/update_dense/kernel/replica_3/ResourceApplyAdam",
  7462. "op": "ResourceApplyAdam"
  7463. }
  7464. },
  7465. {
  7466. "ph": "X",
  7467. "cat": "Op",
  7468. "name": "ResourceApplyAdam",
  7469. "pid": 7,
  7470. "tid": 0,
  7471. "ts": 1539815917570304,
  7472. "dur": 4,
  7473. "args": {
  7474. "name": "training/TFOptimizer/Adam/update_3_14/update_dense_1/kernel/replica_3/ResourceApplyAdam",
  7475. "op": "ResourceApplyAdam"
  7476. }
  7477. },
  7478. {
  7479. "ph": "X",
  7480. "cat": "Op",
  7481. "name": "ResourceApplyAdam",
  7482. "pid": 7,
  7483. "tid": 0,
  7484. "ts": 1539815917570325,
  7485. "dur": 4,
  7486. "args": {
  7487. "name": "training/TFOptimizer/Adam/update_3_14/update_dense_1/kernel/replica_3/ResourceApplyAdam",
  7488. "op": "ResourceApplyAdam"
  7489. }
  7490. },
  7491. {
  7492. "ph": "X",
  7493. "cat": "Op",
  7494. "name": "ResourceApplyAdam",
  7495. "pid": 7,
  7496. "tid": 0,
  7497. "ts": 1539815917570336,
  7498. "dur": 6,
  7499. "args": {
  7500. "name": "training/TFOptimizer/Adam/update_3_14/update_dense_1/kernel/replica_3/ResourceApplyAdam",
  7501. "op": "ResourceApplyAdam"
  7502. }
  7503. },
  7504. {
  7505. "ph": "X",
  7506. "cat": "Op",
  7507. "name": "ResourceApplyAdam",
  7508. "pid": 7,
  7509. "tid": 0,
  7510. "ts": 1539815917570417,
  7511. "dur": 4,
  7512. "args": {
  7513. "name": "training/TFOptimizer/Adam/update_3_2/update_conv2d/kernel/replica_3/ResourceApplyAdam",
  7514. "op": "ResourceApplyAdam"
  7515. }
  7516. },
  7517. {
  7518. "ph": "X",
  7519. "cat": "Op",
  7520. "name": "ResourceApplyAdam",
  7521. "pid": 7,
  7522. "tid": 0,
  7523. "ts": 1539815917570452,
  7524. "dur": 3,
  7525. "args": {
  7526. "name": "training/TFOptimizer/Adam/update_3_2/update_conv2d/kernel/replica_3/ResourceApplyAdam",
  7527. "op": "ResourceApplyAdam"
  7528. }
  7529. },
  7530. {
  7531. "ph": "X",
  7532. "cat": "Op",
  7533. "name": "ResourceApplyAdam",
  7534. "pid": 7,
  7535. "tid": 0,
  7536. "ts": 1539815917570472,
  7537. "dur": 5,
  7538. "args": {
  7539. "name": "training/TFOptimizer/Adam/update_3_2/update_conv2d/kernel/replica_3/ResourceApplyAdam",
  7540. "op": "ResourceApplyAdam"
  7541. }
  7542. },
  7543. {
  7544. "ph": "X",
  7545. "cat": "Op",
  7546. "name": "ResourceApplyAdam",
  7547. "pid": 7,
  7548. "tid": 0,
  7549. "ts": 1539815917570556,
  7550. "dur": 6,
  7551. "args": {
  7552. "name": "training/TFOptimizer/Adam/update_3_6/update_conv2d_1/kernel/replica_3/ResourceApplyAdam",
  7553. "op": "ResourceApplyAdam"
  7554. }
  7555. },
  7556. {
  7557. "ph": "X",
  7558. "cat": "Op",
  7559. "name": "ResourceApplyAdam",
  7560. "pid": 7,
  7561. "tid": 0,
  7562. "ts": 1539815917570566,
  7563. "dur": 5,
  7564. "args": {
  7565. "name": "training/TFOptimizer/Adam/update_3_6/update_conv2d_1/kernel/replica_3/ResourceApplyAdam",
  7566. "op": "ResourceApplyAdam"
  7567. }
  7568. },
  7569. {
  7570. "ph": "X",
  7571. "cat": "Op",
  7572. "name": "ResourceApplyAdam",
  7573. "pid": 7,
  7574. "tid": 0,
  7575. "ts": 1539815917570576,
  7576. "dur": 7,
  7577. "args": {
  7578. "name": "training/TFOptimizer/Adam/update_3_6/update_conv2d_1/kernel/replica_3/ResourceApplyAdam",
  7579. "op": "ResourceApplyAdam"
  7580. }
  7581. },
  7582. {
  7583. "ph": "X",
  7584. "cat": "Op",
  7585. "name": "Mul",
  7586. "pid": 7,
  7587. "tid": 0,
  7588. "ts": 1539815917570991,
  7589. "dur": 4,
  7590. "args": {
  7591. "name": "training/TFOptimizer/Adam/update_3_16/mul",
  7592. "op": "Mul"
  7593. }
  7594. },
  7595. {
  7596. "ph": "X",
  7597. "cat": "Op",
  7598. "name": "Mul",
  7599. "pid": 7,
  7600. "tid": 0,
  7601. "ts": 1539815917571033,
  7602. "dur": 3,
  7603. "args": {
  7604. "name": "training/TFOptimizer/Adam/update_3_16/mul_1",
  7605. "op": "Mul"
  7606. }
  7607. },
  7608. {
  7609. "ph": "X",
  7610. "cat": "Op",
  7611. "name": "AssignAddVariableOp",
  7612. "pid": 7,
  7613. "tid": 0,
  7614. "ts": 1539815917571598,
  7615. "dur": 4,
  7616. "args": {
  7617. "name": "training/TFOptimizer/Adam/update_3_17/AssignAddVariableOp",
  7618. "op": "AssignAddVariableOp"
  7619. }
  7620. },
  7621. {
  7622. "ph": "X",
  7623. "cat": "Op",
  7624. "name": "AssignSubVariableOp",
  7625. "pid": 7,
  7626. "tid": 1,
  7627. "ts": 1539815916913155,
  7628. "dur": 2,
  7629. "args": {
  7630. "name": "tower_3/batch_normalization/AssignMovingAvg/AssignSubVariableOp",
  7631. "op": "AssignSubVariableOp"
  7632. }
  7633. },
  7634. {
  7635. "ph": "X",
  7636. "cat": "Op",
  7637. "name": "AssignSubVariableOp",
  7638. "pid": 7,
  7639. "tid": 1,
  7640. "ts": 1539815916913258,
  7641. "dur": 1,
  7642. "args": {
  7643. "name": "tower_3/batch_normalization/AssignMovingAvg_1/AssignSubVariableOp",
  7644. "op": "AssignSubVariableOp"
  7645. }
  7646. },
  7647. {
  7648. "ph": "X",
  7649. "cat": "Op",
  7650. "name": "AssignSubVariableOp",
  7651. "pid": 7,
  7652. "tid": 1,
  7653. "ts": 1539815916939730,
  7654. "dur": 2,
  7655. "args": {
  7656. "name": "tower_3/batch_normalization_1/AssignMovingAvg/AssignSubVariableOp",
  7657. "op": "AssignSubVariableOp"
  7658. }
  7659. },
  7660. {
  7661. "ph": "X",
  7662. "cat": "Op",
  7663. "name": "AssignSubVariableOp",
  7664. "pid": 7,
  7665. "tid": 1,
  7666. "ts": 1539815916939742,
  7667. "dur": 2,
  7668. "args": {
  7669. "name": "tower_3/batch_normalization_1/AssignMovingAvg_1/AssignSubVariableOp",
  7670. "op": "AssignSubVariableOp"
  7671. }
  7672. },
  7673. {
  7674. "ph": "X",
  7675. "cat": "Op",
  7676. "name": "AssignSubVariableOp",
  7677. "pid": 7,
  7678. "tid": 1,
  7679. "ts": 1539815916965302,
  7680. "dur": 2,
  7681. "args": {
  7682. "name": "tower_3/batch_normalization_2/AssignMovingAvg/AssignSubVariableOp",
  7683. "op": "AssignSubVariableOp"
  7684. }
  7685. },
  7686. {
  7687. "ph": "X",
  7688. "cat": "Op",
  7689. "name": "AssignSubVariableOp",
  7690. "pid": 7,
  7691. "tid": 1,
  7692. "ts": 1539815916965315,
  7693. "dur": 1,
  7694. "args": {
  7695. "name": "tower_3/batch_normalization_2/AssignMovingAvg_1/AssignSubVariableOp",
  7696. "op": "AssignSubVariableOp"
  7697. }
  7698. },
  7699. {
  7700. "ph": "X",
  7701. "cat": "Op",
  7702. "name": "ConcatV2",
  7703. "pid": 7,
  7704. "tid": 1,
  7705. "ts": 1539815917092894,
  7706. "dur": 2,
  7707. "args": {
  7708. "name": "training/TFOptimizer/concat_3",
  7709. "op": "ConcatV2"
  7710. }
  7711. },
  7712. {
  7713. "ph": "X",
  7714. "cat": "Op",
  7715. "name": "ConcatV2",
  7716. "pid": 7,
  7717. "tid": 1,
  7718. "ts": 1539815917093720,
  7719. "dur": 2,
  7720. "args": {
  7721. "name": "training/TFOptimizer/concat_3",
  7722. "op": "ConcatV2"
  7723. }
  7724. },
  7725. {
  7726. "ph": "X",
  7727. "cat": "Op",
  7728. "name": "ResourceApplyAdam",
  7729. "pid": 7,
  7730. "tid": 1,
  7731. "ts": 1539815917568216,
  7732. "dur": 1,
  7733. "args": {
  7734. "name": "training/TFOptimizer/Adam/update_3_9/update_batch_normalization_2/beta/replica_3/ResourceApplyAdam",
  7735. "op": "ResourceApplyAdam"
  7736. }
  7737. },
  7738. {
  7739. "ph": "X",
  7740. "cat": "Op",
  7741. "name": "ResourceApplyAdam",
  7742. "pid": 7,
  7743. "tid": 1,
  7744. "ts": 1539815917568296,
  7745. "dur": 2,
  7746. "args": {
  7747. "name": "training/TFOptimizer/Adam/update_3_9/update_batch_normalization_2/beta/replica_3/ResourceApplyAdam",
  7748. "op": "ResourceApplyAdam"
  7749. }
  7750. },
  7751. {
  7752. "ph": "X",
  7753. "cat": "Op",
  7754. "name": "ResourceApplyAdam",
  7755. "pid": 7,
  7756. "tid": 1,
  7757. "ts": 1539815917568493,
  7758. "dur": 1,
  7759. "args": {
  7760. "name": "training/TFOptimizer/Adam/update_3/update_batch_normalization/gamma/replica_3/ResourceApplyAdam",
  7761. "op": "ResourceApplyAdam"
  7762. }
  7763. },
  7764. {
  7765. "ph": "X",
  7766. "cat": "Op",
  7767. "name": "ResourceApplyAdam",
  7768. "pid": 7,
  7769. "tid": 1,
  7770. "ts": 1539815917568514,
  7771. "dur": 1,
  7772. "args": {
  7773. "name": "training/TFOptimizer/Adam/update_3/update_batch_normalization/gamma/replica_3/ResourceApplyAdam",
  7774. "op": "ResourceApplyAdam"
  7775. }
  7776. },
  7777. {
  7778. "ph": "X",
  7779. "cat": "Op",
  7780. "name": "ResourceApplyAdam",
  7781. "pid": 7,
  7782. "tid": 1,
  7783. "ts": 1539815917568606,
  7784. "dur": 1,
  7785. "args": {
  7786. "name": "training/TFOptimizer/Adam/update_3_1/update_batch_normalization/beta/replica_3/ResourceApplyAdam",
  7787. "op": "ResourceApplyAdam"
  7788. }
  7789. },
  7790. {
  7791. "ph": "X",
  7792. "cat": "Op",
  7793. "name": "ResourceApplyAdam",
  7794. "pid": 7,
  7795. "tid": 1,
  7796. "ts": 1539815917568639,
  7797. "dur": 2,
  7798. "args": {
  7799. "name": "training/TFOptimizer/Adam/update_3_1/update_batch_normalization/beta/replica_3/ResourceApplyAdam",
  7800. "op": "ResourceApplyAdam"
  7801. }
  7802. },
  7803. {
  7804. "ph": "X",
  7805. "cat": "Op",
  7806. "name": "ResourceApplyAdam",
  7807. "pid": 7,
  7808. "tid": 1,
  7809. "ts": 1539815917568824,
  7810. "dur": 2,
  7811. "args": {
  7812. "name": "training/TFOptimizer/Adam/update_3_11/update_conv2d_2/bias/replica_3/ResourceApplyAdam",
  7813. "op": "ResourceApplyAdam"
  7814. }
  7815. },
  7816. {
  7817. "ph": "X",
  7818. "cat": "Op",
  7819. "name": "ResourceApplyAdam",
  7820. "pid": 7,
  7821. "tid": 1,
  7822. "ts": 1539815917568846,
  7823. "dur": 1,
  7824. "args": {
  7825. "name": "training/TFOptimizer/Adam/update_3_11/update_conv2d_2/bias/replica_3/ResourceApplyAdam",
  7826. "op": "ResourceApplyAdam"
  7827. }
  7828. },
  7829. {
  7830. "ph": "X",
  7831. "cat": "Op",
  7832. "name": "ResourceApplyAdam",
  7833. "pid": 7,
  7834. "tid": 1,
  7835. "ts": 1539815917568929,
  7836. "dur": 1,
  7837. "args": {
  7838. "name": "training/TFOptimizer/Adam/update_3_13/update_dense/bias/replica_3/ResourceApplyAdam",
  7839. "op": "ResourceApplyAdam"
  7840. }
  7841. },
  7842. {
  7843. "ph": "X",
  7844. "cat": "Op",
  7845. "name": "ResourceApplyAdam",
  7846. "pid": 7,
  7847. "tid": 1,
  7848. "ts": 1539815917568947,
  7849. "dur": 1,
  7850. "args": {
  7851. "name": "training/TFOptimizer/Adam/update_3_13/update_dense/bias/replica_3/ResourceApplyAdam",
  7852. "op": "ResourceApplyAdam"
  7853. }
  7854. },
  7855. {
  7856. "ph": "X",
  7857. "cat": "Op",
  7858. "name": "ResourceApplyAdam",
  7859. "pid": 7,
  7860. "tid": 1,
  7861. "ts": 1539815917569071,
  7862. "dur": 1,
  7863. "args": {
  7864. "name": "training/TFOptimizer/Adam/update_3_15/update_dense_1/bias/replica_3/ResourceApplyAdam",
  7865. "op": "ResourceApplyAdam"
  7866. }
  7867. },
  7868. {
  7869. "ph": "X",
  7870. "cat": "Op",
  7871. "name": "ResourceApplyAdam",
  7872. "pid": 7,
  7873. "tid": 1,
  7874. "ts": 1539815917569089,
  7875. "dur": 2,
  7876. "args": {
  7877. "name": "training/TFOptimizer/Adam/update_3_15/update_dense_1/bias/replica_3/ResourceApplyAdam",
  7878. "op": "ResourceApplyAdam"
  7879. }
  7880. },
  7881. {
  7882. "ph": "X",
  7883. "cat": "Op",
  7884. "name": "ResourceApplyAdam",
  7885. "pid": 7,
  7886. "tid": 1,
  7887. "ts": 1539815917569207,
  7888. "dur": 1,
  7889. "args": {
  7890. "name": "training/TFOptimizer/Adam/update_3_3/update_conv2d/bias/replica_3/ResourceApplyAdam",
  7891. "op": "ResourceApplyAdam"
  7892. }
  7893. },
  7894. {
  7895. "ph": "X",
  7896. "cat": "Op",
  7897. "name": "ResourceApplyAdam",
  7898. "pid": 7,
  7899. "tid": 1,
  7900. "ts": 1539815917569224,
  7901. "dur": 2,
  7902. "args": {
  7903. "name": "training/TFOptimizer/Adam/update_3_3/update_conv2d/bias/replica_3/ResourceApplyAdam",
  7904. "op": "ResourceApplyAdam"
  7905. }
  7906. },
  7907. {
  7908. "ph": "X",
  7909. "cat": "Op",
  7910. "name": "ResourceApplyAdam",
  7911. "pid": 7,
  7912. "tid": 1,
  7913. "ts": 1539815917569464,
  7914. "dur": 2,
  7915. "args": {
  7916. "name": "training/TFOptimizer/Adam/update_3_4/update_batch_normalization_1/gamma/replica_3/ResourceApplyAdam",
  7917. "op": "ResourceApplyAdam"
  7918. }
  7919. },
  7920. {
  7921. "ph": "X",
  7922. "cat": "Op",
  7923. "name": "ResourceApplyAdam",
  7924. "pid": 7,
  7925. "tid": 1,
  7926. "ts": 1539815917569496,
  7927. "dur": 2,
  7928. "args": {
  7929. "name": "training/TFOptimizer/Adam/update_3_4/update_batch_normalization_1/gamma/replica_3/ResourceApplyAdam",
  7930. "op": "ResourceApplyAdam"
  7931. }
  7932. },
  7933. {
  7934. "ph": "X",
  7935. "cat": "Op",
  7936. "name": "ResourceApplyAdam",
  7937. "pid": 7,
  7938. "tid": 1,
  7939. "ts": 1539815917569588,
  7940. "dur": 1,
  7941. "args": {
  7942. "name": "training/TFOptimizer/Adam/update_3_5/update_batch_normalization_1/beta/replica_3/ResourceApplyAdam",
  7943. "op": "ResourceApplyAdam"
  7944. }
  7945. },
  7946. {
  7947. "ph": "X",
  7948. "cat": "Op",
  7949. "name": "ResourceApplyAdam",
  7950. "pid": 7,
  7951. "tid": 1,
  7952. "ts": 1539815917569646,
  7953. "dur": 1,
  7954. "args": {
  7955. "name": "training/TFOptimizer/Adam/update_3_5/update_batch_normalization_1/beta/replica_3/ResourceApplyAdam",
  7956. "op": "ResourceApplyAdam"
  7957. }
  7958. },
  7959. {
  7960. "ph": "X",
  7961. "cat": "Op",
  7962. "name": "ResourceApplyAdam",
  7963. "pid": 7,
  7964. "tid": 1,
  7965. "ts": 1539815917569757,
  7966. "dur": 2,
  7967. "args": {
  7968. "name": "training/TFOptimizer/Adam/update_3_7/update_conv2d_1/bias/replica_3/ResourceApplyAdam",
  7969. "op": "ResourceApplyAdam"
  7970. }
  7971. },
  7972. {
  7973. "ph": "X",
  7974. "cat": "Op",
  7975. "name": "ResourceApplyAdam",
  7976. "pid": 7,
  7977. "tid": 1,
  7978. "ts": 1539815917569776,
  7979. "dur": 2,
  7980. "args": {
  7981. "name": "training/TFOptimizer/Adam/update_3_7/update_conv2d_1/bias/replica_3/ResourceApplyAdam",
  7982. "op": "ResourceApplyAdam"
  7983. }
  7984. },
  7985. {
  7986. "ph": "X",
  7987. "cat": "Op",
  7988. "name": "ResourceApplyAdam",
  7989. "pid": 7,
  7990. "tid": 1,
  7991. "ts": 1539815917569859,
  7992. "dur": 1,
  7993. "args": {
  7994. "name": "training/TFOptimizer/Adam/update_3_8/update_batch_normalization_2/gamma/replica_3/ResourceApplyAdam",
  7995. "op": "ResourceApplyAdam"
  7996. }
  7997. },
  7998. {
  7999. "ph": "X",
  8000. "cat": "Op",
  8001. "name": "ResourceApplyAdam",
  8002. "pid": 7,
  8003. "tid": 1,
  8004. "ts": 1539815917569877,
  8005. "dur": 1,
  8006. "args": {
  8007. "name": "training/TFOptimizer/Adam/update_3_8/update_batch_normalization_2/gamma/replica_3/ResourceApplyAdam",
  8008. "op": "ResourceApplyAdam"
  8009. }
  8010. },
  8011. {
  8012. "ph": "X",
  8013. "cat": "Op",
  8014. "name": "ResourceApplyAdam",
  8015. "pid": 7,
  8016. "tid": 1,
  8017. "ts": 1539815917569965,
  8018. "dur": 2,
  8019. "args": {
  8020. "name": "training/TFOptimizer/Adam/update_3_10/update_conv2d_2/kernel/replica_3/ResourceApplyAdam",
  8021. "op": "ResourceApplyAdam"
  8022. }
  8023. },
  8024. {
  8025. "ph": "X",
  8026. "cat": "Op",
  8027. "name": "ResourceApplyAdam",
  8028. "pid": 7,
  8029. "tid": 1,
  8030. "ts": 1539815917569990,
  8031. "dur": 1,
  8032. "args": {
  8033. "name": "training/TFOptimizer/Adam/update_3_10/update_conv2d_2/kernel/replica_3/ResourceApplyAdam",
  8034. "op": "ResourceApplyAdam"
  8035. }
  8036. },
  8037. {
  8038. "ph": "X",
  8039. "cat": "Op",
  8040. "name": "ResourceApplyAdam",
  8041. "pid": 7,
  8042. "tid": 1,
  8043. "ts": 1539815917570142,
  8044. "dur": 1,
  8045. "args": {
  8046. "name": "training/TFOptimizer/Adam/update_3_12/update_dense/kernel/replica_3/ResourceApplyAdam",
  8047. "op": "ResourceApplyAdam"
  8048. }
  8049. },
  8050. {
  8051. "ph": "X",
  8052. "cat": "Op",
  8053. "name": "ResourceApplyAdam",
  8054. "pid": 7,
  8055. "tid": 1,
  8056. "ts": 1539815917570177,
  8057. "dur": 2,
  8058. "args": {
  8059. "name": "training/TFOptimizer/Adam/update_3_12/update_dense/kernel/replica_3/ResourceApplyAdam",
  8060. "op": "ResourceApplyAdam"
  8061. }
  8062. },
  8063. {
  8064. "ph": "X",
  8065. "cat": "Op",
  8066. "name": "ResourceApplyAdam",
  8067. "pid": 7,
  8068. "tid": 1,
  8069. "ts": 1539815917570272,
  8070. "dur": 1,
  8071. "args": {
  8072. "name": "training/TFOptimizer/Adam/update_3_14/update_dense_1/kernel/replica_3/ResourceApplyAdam",
  8073. "op": "ResourceApplyAdam"
  8074. }
  8075. },
  8076. {
  8077. "ph": "X",
  8078. "cat": "Op",
  8079. "name": "ResourceApplyAdam",
  8080. "pid": 7,
  8081. "tid": 1,
  8082. "ts": 1539815917570290,
  8083. "dur": 1,
  8084. "args": {
  8085. "name": "training/TFOptimizer/Adam/update_3_14/update_dense_1/kernel/replica_3/ResourceApplyAdam",
  8086. "op": "ResourceApplyAdam"
  8087. }
  8088. },
  8089. {
  8090. "ph": "X",
  8091. "cat": "Op",
  8092. "name": "ResourceApplyAdam",
  8093. "pid": 7,
  8094. "tid": 1,
  8095. "ts": 1539815917570385,
  8096. "dur": 2,
  8097. "args": {
  8098. "name": "training/TFOptimizer/Adam/update_3_2/update_conv2d/kernel/replica_3/ResourceApplyAdam",
  8099. "op": "ResourceApplyAdam"
  8100. }
  8101. },
  8102. {
  8103. "ph": "X",
  8104. "cat": "Op",
  8105. "name": "ResourceApplyAdam",
  8106. "pid": 7,
  8107. "tid": 1,
  8108. "ts": 1539815917570405,
  8109. "dur": 1,
  8110. "args": {
  8111. "name": "training/TFOptimizer/Adam/update_3_2/update_conv2d/kernel/replica_3/ResourceApplyAdam",
  8112. "op": "ResourceApplyAdam"
  8113. }
  8114. },
  8115. {
  8116. "ph": "X",
  8117. "cat": "Op",
  8118. "name": "ResourceApplyAdam",
  8119. "pid": 7,
  8120. "tid": 1,
  8121. "ts": 1539815917570526,
  8122. "dur": 1,
  8123. "args": {
  8124. "name": "training/TFOptimizer/Adam/update_3_6/update_conv2d_1/kernel/replica_3/ResourceApplyAdam",
  8125. "op": "ResourceApplyAdam"
  8126. }
  8127. },
  8128. {
  8129. "ph": "X",
  8130. "cat": "Op",
  8131. "name": "ResourceApplyAdam",
  8132. "pid": 7,
  8133. "tid": 1,
  8134. "ts": 1539815917570544,
  8135. "dur": 1,
  8136. "args": {
  8137. "name": "training/TFOptimizer/Adam/update_3_6/update_conv2d_1/kernel/replica_3/ResourceApplyAdam",
  8138. "op": "ResourceApplyAdam"
  8139. }
  8140. },
  8141. {
  8142. "ph": "X",
  8143. "cat": "Op",
  8144. "name": "AssignAddVariableOp",
  8145. "pid": 7,
  8146. "tid": 1,
  8147. "ts": 1539815917571567,
  8148. "dur": 2,
  8149. "args": {
  8150. "name": "training/TFOptimizer/Adam/update_3_17/AssignAddVariableOp",
  8151. "op": "AssignAddVariableOp"
  8152. }
  8153. },
  8154. {
  8155. "ph": "X",
  8156. "cat": "Op",
  8157. "name": "MEMCPYHtoD",
  8158. "pid": 9,
  8159. "tid": 0,
  8160. "ts": 1539815912102016,
  8161. "dur": 21,
  8162. "args": {
  8163. "name": "ret_0",
  8164. "op": "MEMCPYHtoD"
  8165. }
  8166. },
  8167. {
  8168. "ph": "X",
  8169. "cat": "Op",
  8170. "name": "MEMCPYHtoD",
  8171. "pid": 9,
  8172. "tid": 0,
  8173. "ts": 1539815912102105,
  8174. "dur": 2,
  8175. "args": {
  8176. "name": "ret_1",
  8177. "op": "MEMCPYHtoD"
  8178. }
  8179. },
  8180. {
  8181. "ph": "X",
  8182. "cat": "Op",
  8183. "name": "MEMCPYHtoD",
  8184. "pid": 9,
  8185. "tid": 0,
  8186. "ts": 1539815912104934,
  8187. "dur": 20,
  8188. "args": {
  8189. "name": "ret_0",
  8190. "op": "MEMCPYHtoD"
  8191. }
  8192. },
  8193. {
  8194. "ph": "X",
  8195. "cat": "Op",
  8196. "name": "MEMCPYHtoD",
  8197. "pid": 9,
  8198. "tid": 0,
  8199. "ts": 1539815912104970,
  8200. "dur": 1,
  8201. "args": {
  8202. "name": "ret_1",
  8203. "op": "MEMCPYHtoD"
  8204. }
  8205. },
  8206. {
  8207. "ph": "X",
  8208. "cat": "Op",
  8209. "name": "MEMCPYHtoD",
  8210. "pid": 9,
  8211. "tid": 0,
  8212. "ts": 1539815916983863,
  8213. "dur": 2,
  8214. "args": {
  8215. "name": "edge_1036_tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/Mean_grad/Prod",
  8216. "op": "MEMCPYHtoD"
  8217. }
  8218. },
  8219. {
  8220. "ph": "X",
  8221. "cat": "Op",
  8222. "name": "Cast",
  8223. "pid": 11,
  8224. "tid": 0,
  8225. "ts": 1539815912107268,
  8226. "dur": 5,
  8227. "args": {
  8228. "name": "Cast",
  8229. "op": "Cast"
  8230. }
  8231. },
  8232. {
  8233. "ph": "X",
  8234. "cat": "Op",
  8235. "name": "Cast",
  8236. "pid": 11,
  8237. "tid": 0,
  8238. "ts": 1539815912107313,
  8239. "dur": 3,
  8240. "args": {
  8241. "name": "Cast_1",
  8242. "op": "Cast"
  8243. }
  8244. },
  8245. {
  8246. "ph": "X",
  8247. "cat": "Op",
  8248. "name": "Cast",
  8249. "pid": 11,
  8250. "tid": 0,
  8251. "ts": 1539815912107420,
  8252. "dur": 4,
  8253. "args": {
  8254. "name": "loss/activation_1_loss/Cast",
  8255. "op": "Cast"
  8256. }
  8257. },
  8258. {
  8259. "ph": "X",
  8260. "cat": "Op",
  8261. "name": "FusedBatchNorm",
  8262. "pid": 11,
  8263. "tid": 0,
  8264. "ts": 1539815916895215,
  8265. "dur": 165,
  8266. "args": {
  8267. "name": "batch_normalization/FusedBatchNorm",
  8268. "op": "FusedBatchNorm"
  8269. }
  8270. },
  8271. {
  8272. "ph": "X",
  8273. "cat": "Op",
  8274. "name": "Sub",
  8275. "pid": 11,
  8276. "tid": 0,
  8277. "ts": 1539815916895391,
  8278. "dur": 4,
  8279. "args": {
  8280. "name": "batch_normalization/AssignMovingAvg/sub_1",
  8281. "op": "Sub"
  8282. }
  8283. },
  8284. {
  8285. "ph": "X",
  8286. "cat": "Op",
  8287. "name": "Sub",
  8288. "pid": 11,
  8289. "tid": 0,
  8290. "ts": 1539815916895447,
  8291. "dur": 4,
  8292. "args": {
  8293. "name": "batch_normalization/AssignMovingAvg_1/sub_1",
  8294. "op": "Sub"
  8295. }
  8296. },
  8297. {
  8298. "ph": "X",
  8299. "cat": "Op",
  8300. "name": "Conv2D",
  8301. "pid": 11,
  8302. "tid": 0,
  8303. "ts": 1539815916895515,
  8304. "dur": 5,
  8305. "args": {
  8306. "name": "conv2d/Conv2D",
  8307. "op": "Conv2D"
  8308. }
  8309. },
  8310. {
  8311. "ph": "X",
  8312. "cat": "Op",
  8313. "name": "Conv2D",
  8314. "pid": 11,
  8315. "tid": 0,
  8316. "ts": 1539815916898014,
  8317. "dur": 259,
  8318. "args": {
  8319. "name": "conv2d/Conv2D",
  8320. "op": "Conv2D"
  8321. }
  8322. },
  8323. {
  8324. "ph": "X",
  8325. "cat": "Op",
  8326. "name": "Conv2D",
  8327. "pid": 11,
  8328. "tid": 0,
  8329. "ts": 1539815916898330,
  8330. "dur": 259,
  8331. "args": {
  8332. "name": "conv2d/Conv2D",
  8333. "op": "Conv2D"
  8334. }
  8335. },
  8336. {
  8337. "ph": "X",
  8338. "cat": "Op",
  8339. "name": "Conv2D",
  8340. "pid": 11,
  8341. "tid": 0,
  8342. "ts": 1539815916903486,
  8343. "dur": 5,
  8344. "args": {
  8345. "name": "conv2d/Conv2D",
  8346. "op": "Conv2D"
  8347. }
  8348. },
  8349. {
  8350. "ph": "X",
  8351. "cat": "Op",
  8352. "name": "Conv2D",
  8353. "pid": 11,
  8354. "tid": 0,
  8355. "ts": 1539815916903510,
  8356. "dur": 105,
  8357. "args": {
  8358. "name": "conv2d/Conv2D",
  8359. "op": "Conv2D"
  8360. }
  8361. },
  8362. {
  8363. "ph": "X",
  8364. "cat": "Op",
  8365. "name": "Conv2D",
  8366. "pid": 11,
  8367. "tid": 0,
  8368. "ts": 1539815916903677,
  8369. "dur": 4,
  8370. "args": {
  8371. "name": "conv2d/Conv2D",
  8372. "op": "Conv2D"
  8373. }
  8374. },
  8375. {
  8376. "ph": "X",
  8377. "cat": "Op",
  8378. "name": "Conv2D",
  8379. "pid": 11,
  8380. "tid": 0,
  8381. "ts": 1539815916903693,
  8382. "dur": 104,
  8383. "args": {
  8384. "name": "conv2d/Conv2D",
  8385. "op": "Conv2D"
  8386. }
  8387. },
  8388. {
  8389. "ph": "X",
  8390. "cat": "Op",
  8391. "name": "Conv2D",
  8392. "pid": 11,
  8393. "tid": 0,
  8394. "ts": 1539815916903844,
  8395. "dur": 36,
  8396. "args": {
  8397. "name": "conv2d/Conv2D",
  8398. "op": "Conv2D"
  8399. }
  8400. },
  8401. {
  8402. "ph": "X",
  8403. "cat": "Op",
  8404. "name": "Conv2D",
  8405. "pid": 11,
  8406. "tid": 0,
  8407. "ts": 1539815916903891,
  8408. "dur": 238,
  8409. "args": {
  8410. "name": "conv2d/Conv2D",
  8411. "op": "Conv2D"
  8412. }
  8413. },
  8414. {
  8415. "ph": "X",
  8416. "cat": "Op",
  8417. "name": "Conv2D",
  8418. "pid": 11,
  8419. "tid": 0,
  8420. "ts": 1539815916904182,
  8421. "dur": 36,
  8422. "args": {
  8423. "name": "conv2d/Conv2D",
  8424. "op": "Conv2D"
  8425. }
  8426. },
  8427. {
  8428. "ph": "X",
  8429. "cat": "Op",
  8430. "name": "Conv2D",
  8431. "pid": 11,
  8432. "tid": 0,
  8433. "ts": 1539815916904223,
  8434. "dur": 239,
  8435. "args": {
  8436. "name": "conv2d/Conv2D",
  8437. "op": "Conv2D"
  8438. }
  8439. },
  8440. {
  8441. "ph": "X",
  8442. "cat": "Op",
  8443. "name": "Conv2D",
  8444. "pid": 11,
  8445. "tid": 0,
  8446. "ts": 1539815916904612,
  8447. "dur": 4,
  8448. "args": {
  8449. "name": "conv2d/Conv2D",
  8450. "op": "Conv2D"
  8451. }
  8452. },
  8453. {
  8454. "ph": "X",
  8455. "cat": "Op",
  8456. "name": "Conv2D",
  8457. "pid": 11,
  8458. "tid": 0,
  8459. "ts": 1539815916904634,
  8460. "dur": 16,
  8461. "args": {
  8462. "name": "conv2d/Conv2D",
  8463. "op": "Conv2D"
  8464. }
  8465. },
  8466. {
  8467. "ph": "X",
  8468. "cat": "Op",
  8469. "name": "Conv2D",
  8470. "pid": 11,
  8471. "tid": 0,
  8472. "ts": 1539815916904702,
  8473. "dur": 4,
  8474. "args": {
  8475. "name": "conv2d/Conv2D",
  8476. "op": "Conv2D"
  8477. }
  8478. },
  8479. {
  8480. "ph": "X",
  8481. "cat": "Op",
  8482. "name": "Conv2D",
  8483. "pid": 11,
  8484. "tid": 0,
  8485. "ts": 1539815916905394,
  8486. "dur": 110,
  8487. "args": {
  8488. "name": "conv2d/Conv2D",
  8489. "op": "Conv2D"
  8490. }
  8491. },
  8492. {
  8493. "ph": "X",
  8494. "cat": "Op",
  8495. "name": "Conv2D",
  8496. "pid": 11,
  8497. "tid": 0,
  8498. "ts": 1539815916905508,
  8499. "dur": 183,
  8500. "args": {
  8501. "name": "conv2d/Conv2D",
  8502. "op": "Conv2D"
  8503. }
  8504. },
  8505. {
  8506. "ph": "X",
  8507. "cat": "Op",
  8508. "name": "Conv2D",
  8509. "pid": 11,
  8510. "tid": 0,
  8511. "ts": 1539815916905744,
  8512. "dur": 9,
  8513. "args": {
  8514. "name": "conv2d/Conv2D",
  8515. "op": "Conv2D"
  8516. }
  8517. },
  8518. {
  8519. "ph": "X",
  8520. "cat": "Op",
  8521. "name": "Conv2D",
  8522. "pid": 11,
  8523. "tid": 0,
  8524. "ts": 1539815916905759,
  8525. "dur": 16,
  8526. "args": {
  8527. "name": "conv2d/Conv2D",
  8528. "op": "Conv2D"
  8529. }
  8530. },
  8531. {
  8532. "ph": "X",
  8533. "cat": "Op",
  8534. "name": "Conv2D",
  8535. "pid": 11,
  8536. "tid": 0,
  8537. "ts": 1539815916905805,
  8538. "dur": 4,
  8539. "args": {
  8540. "name": "conv2d/Conv2D",
  8541. "op": "Conv2D"
  8542. }
  8543. },
  8544. {
  8545. "ph": "X",
  8546. "cat": "Op",
  8547. "name": "Conv2D",
  8548. "pid": 11,
  8549. "tid": 0,
  8550. "ts": 1539815916905812,
  8551. "dur": 108,
  8552. "args": {
  8553. "name": "conv2d/Conv2D",
  8554. "op": "Conv2D"
  8555. }
  8556. },
  8557. {
  8558. "ph": "X",
  8559. "cat": "Op",
  8560. "name": "Conv2D",
  8561. "pid": 11,
  8562. "tid": 0,
  8563. "ts": 1539815916905924,
  8564. "dur": 186,
  8565. "args": {
  8566. "name": "conv2d/Conv2D",
  8567. "op": "Conv2D"
  8568. }
  8569. },
  8570. {
  8571. "ph": "X",
  8572. "cat": "Op",
  8573. "name": "Conv2D",
  8574. "pid": 11,
  8575. "tid": 0,
  8576. "ts": 1539815916906192,
  8577. "dur": 16,
  8578. "args": {
  8579. "name": "conv2d/Conv2D",
  8580. "op": "Conv2D"
  8581. }
  8582. },
  8583. {
  8584. "ph": "X",
  8585. "cat": "Op",
  8586. "name": "Conv2D",
  8587. "pid": 11,
  8588. "tid": 0,
  8589. "ts": 1539815916907332,
  8590. "dur": 16,
  8591. "args": {
  8592. "name": "conv2d/Conv2D",
  8593. "op": "Conv2D"
  8594. }
  8595. },
  8596. {
  8597. "ph": "X",
  8598. "cat": "Op",
  8599. "name": "Conv2D",
  8600. "pid": 11,
  8601. "tid": 0,
  8602. "ts": 1539815916907774,
  8603. "dur": 27,
  8604. "args": {
  8605. "name": "conv2d/Conv2D",
  8606. "op": "Conv2D"
  8607. }
  8608. },
  8609. {
  8610. "ph": "X",
  8611. "cat": "Op",
  8612. "name": "Conv2D",
  8613. "pid": 11,
  8614. "tid": 0,
  8615. "ts": 1539815916907805,
  8616. "dur": 6,
  8617. "args": {
  8618. "name": "conv2d/Conv2D",
  8619. "op": "Conv2D"
  8620. }
  8621. },
  8622. {
  8623. "ph": "X",
  8624. "cat": "Op",
  8625. "name": "Conv2D",
  8626. "pid": 11,
  8627. "tid": 0,
  8628. "ts": 1539815916907814,
  8629. "dur": 244,
  8630. "args": {
  8631. "name": "conv2d/Conv2D",
  8632. "op": "Conv2D"
  8633. }
  8634. },
  8635. {
  8636. "ph": "X",
  8637. "cat": "Op",
  8638. "name": "Conv2D",
  8639. "pid": 11,
  8640. "tid": 0,
  8641. "ts": 1539815916908063,
  8642. "dur": 565,
  8643. "args": {
  8644. "name": "conv2d/Conv2D",
  8645. "op": "Conv2D"
  8646. }
  8647. },
  8648. {
  8649. "ph": "X",
  8650. "cat": "Op",
  8651. "name": "Conv2D",
  8652. "pid": 11,
  8653. "tid": 0,
  8654. "ts": 1539815916908674,
  8655. "dur": 27,
  8656. "args": {
  8657. "name": "conv2d/Conv2D",
  8658. "op": "Conv2D"
  8659. }
  8660. },
  8661. {
  8662. "ph": "X",
  8663. "cat": "Op",
  8664. "name": "Conv2D",
  8665. "pid": 11,
  8666. "tid": 0,
  8667. "ts": 1539815916908705,
  8668. "dur": 5,
  8669. "args": {
  8670. "name": "conv2d/Conv2D",
  8671. "op": "Conv2D"
  8672. }
  8673. },
  8674. {
  8675. "ph": "X",
  8676. "cat": "Op",
  8677. "name": "Conv2D",
  8678. "pid": 11,
  8679. "tid": 0,
  8680. "ts": 1539815916908713,
  8681. "dur": 242,
  8682. "args": {
  8683. "name": "conv2d/Conv2D",
  8684. "op": "Conv2D"
  8685. }
  8686. },
  8687. {
  8688. "ph": "X",
  8689. "cat": "Op",
  8690. "name": "Conv2D",
  8691. "pid": 11,
  8692. "tid": 0,
  8693. "ts": 1539815916908960,
  8694. "dur": 567,
  8695. "args": {
  8696. "name": "conv2d/Conv2D",
  8697. "op": "Conv2D"
  8698. }
  8699. },
  8700. {
  8701. "ph": "X",
  8702. "cat": "Op",
  8703. "name": "Conv2D",
  8704. "pid": 11,
  8705. "tid": 0,
  8706. "ts": 1539815916910700,
  8707. "dur": 5,
  8708. "args": {
  8709. "name": "conv2d/Conv2D",
  8710. "op": "Conv2D"
  8711. }
  8712. },
  8713. {
  8714. "ph": "X",
  8715. "cat": "Op",
  8716. "name": "Conv2D",
  8717. "pid": 11,
  8718. "tid": 0,
  8719. "ts": 1539815916910733,
  8720. "dur": 104,
  8721. "args": {
  8722. "name": "conv2d/Conv2D",
  8723. "op": "Conv2D"
  8724. }
  8725. },
  8726. {
  8727. "ph": "X",
  8728. "cat": "Op",
  8729. "name": "Mul",
  8730. "pid": 11,
  8731. "tid": 0,
  8732. "ts": 1539815916910843,
  8733. "dur": 4,
  8734. "args": {
  8735. "name": "batch_normalization/AssignMovingAvg/mul",
  8736. "op": "Mul"
  8737. }
  8738. },
  8739. {
  8740. "ph": "X",
  8741. "cat": "Op",
  8742. "name": "Mul",
  8743. "pid": 11,
  8744. "tid": 0,
  8745. "ts": 1539815916910873,
  8746. "dur": 3,
  8747. "args": {
  8748. "name": "batch_normalization/AssignMovingAvg_1/mul",
  8749. "op": "Mul"
  8750. }
  8751. },
  8752. {
  8753. "ph": "X",
  8754. "cat": "Op",
  8755. "name": "BiasAdd",
  8756. "pid": 11,
  8757. "tid": 0,
  8758. "ts": 1539815916910911,
  8759. "dur": 165,
  8760. "args": {
  8761. "name": "conv2d/BiasAdd",
  8762. "op": "BiasAdd"
  8763. }
  8764. },
  8765. {
  8766. "ph": "X",
  8767. "cat": "Op",
  8768. "name": "AssignSubVariableOp",
  8769. "pid": 11,
  8770. "tid": 0,
  8771. "ts": 1539815916913186,
  8772. "dur": 4,
  8773. "args": {
  8774. "name": "batch_normalization/AssignMovingAvg/AssignSubVariableOp",
  8775. "op": "AssignSubVariableOp"
  8776. }
  8777. },
  8778. {
  8779. "ph": "X",
  8780. "cat": "Op",
  8781. "name": "AssignSubVariableOp",
  8782. "pid": 11,
  8783. "tid": 0,
  8784. "ts": 1539815916913238,
  8785. "dur": 3,
  8786. "args": {
  8787. "name": "batch_normalization/AssignMovingAvg_1/AssignSubVariableOp",
  8788. "op": "AssignSubVariableOp"
  8789. }
  8790. },
  8791. {
  8792. "ph": "X",
  8793. "cat": "Op",
  8794. "name": "Elu",
  8795. "pid": 11,
  8796. "tid": 0,
  8797. "ts": 1539815916913265,
  8798. "dur": 137,
  8799. "args": {
  8800. "name": "conv2d/Elu",
  8801. "op": "Elu"
  8802. }
  8803. },
  8804. {
  8805. "ph": "X",
  8806. "cat": "Op",
  8807. "name": "MaxPool",
  8808. "pid": 11,
  8809. "tid": 0,
  8810. "ts": 1539815916915062,
  8811. "dur": 100,
  8812. "args": {
  8813. "name": "max_pooling2d/MaxPool",
  8814. "op": "MaxPool"
  8815. }
  8816. },
  8817. {
  8818. "ph": "X",
  8819. "cat": "Op",
  8820. "name": "Mul",
  8821. "pid": 11,
  8822. "tid": 0,
  8823. "ts": 1539815916915167,
  8824. "dur": 32,
  8825. "args": {
  8826. "name": "dropout/dropout/div",
  8827. "op": "Mul"
  8828. }
  8829. },
  8830. {
  8831. "ph": "X",
  8832. "cat": "Op",
  8833. "name": "RandomUniform",
  8834. "pid": 11,
  8835. "tid": 0,
  8836. "ts": 1539815916915203,
  8837. "dur": 22,
  8838. "args": {
  8839. "name": "dropout/dropout/random_uniform/RandomUniform",
  8840. "op": "RandomUniform"
  8841. }
  8842. },
  8843. {
  8844. "ph": "X",
  8845. "cat": "Op",
  8846. "name": "Add",
  8847. "pid": 11,
  8848. "tid": 0,
  8849. "ts": 1539815916915248,
  8850. "dur": 35,
  8851. "args": {
  8852. "name": "dropout/dropout/add",
  8853. "op": "Add"
  8854. }
  8855. },
  8856. {
  8857. "ph": "X",
  8858. "cat": "Op",
  8859. "name": "Floor",
  8860. "pid": 11,
  8861. "tid": 0,
  8862. "ts": 1539815916915333,
  8863. "dur": 36,
  8864. "args": {
  8865. "name": "dropout/dropout/Floor",
  8866. "op": "Floor"
  8867. }
  8868. },
  8869. {
  8870. "ph": "X",
  8871. "cat": "Op",
  8872. "name": "Transpose",
  8873. "pid": 11,
  8874. "tid": 0,
  8875. "ts": 1539815916918271,
  8876. "dur": 39,
  8877. "args": {
  8878. "name": "dropout/dropout/mul-1-TransposeNHWCToNCHW-LayoutOptimizer",
  8879. "op": "Transpose"
  8880. }
  8881. },
  8882. {
  8883. "ph": "X",
  8884. "cat": "Op",
  8885. "name": "Mul",
  8886. "pid": 11,
  8887. "tid": 0,
  8888. "ts": 1539815916918354,
  8889. "dur": 50,
  8890. "args": {
  8891. "name": "dropout/dropout/mul",
  8892. "op": "Mul"
  8893. }
  8894. },
  8895. {
  8896. "ph": "X",
  8897. "cat": "Op",
  8898. "name": "FusedBatchNorm",
  8899. "pid": 11,
  8900. "tid": 0,
  8901. "ts": 1539815916918417,
  8902. "dur": 95,
  8903. "args": {
  8904. "name": "batch_normalization_1/FusedBatchNorm",
  8905. "op": "FusedBatchNorm"
  8906. }
  8907. },
  8908. {
  8909. "ph": "X",
  8910. "cat": "Op",
  8911. "name": "Sub",
  8912. "pid": 11,
  8913. "tid": 0,
  8914. "ts": 1539815916918515,
  8915. "dur": 4,
  8916. "args": {
  8917. "name": "batch_normalization_1/AssignMovingAvg/sub_1",
  8918. "op": "Sub"
  8919. }
  8920. },
  8921. {
  8922. "ph": "X",
  8923. "cat": "Op",
  8924. "name": "Sub",
  8925. "pid": 11,
  8926. "tid": 0,
  8927. "ts": 1539815916918522,
  8928. "dur": 3,
  8929. "args": {
  8930. "name": "batch_normalization_1/AssignMovingAvg_1/sub_1",
  8931. "op": "Sub"
  8932. }
  8933. },
  8934. {
  8935. "ph": "X",
  8936. "cat": "Op",
  8937. "name": "Conv2D",
  8938. "pid": 11,
  8939. "tid": 0,
  8940. "ts": 1539815916918533,
  8941. "dur": 10,
  8942. "args": {
  8943. "name": "conv2d_1/Conv2D",
  8944. "op": "Conv2D"
  8945. }
  8946. },
  8947. {
  8948. "ph": "X",
  8949. "cat": "Op",
  8950. "name": "Conv2D",
  8951. "pid": 11,
  8952. "tid": 0,
  8953. "ts": 1539815916918588,
  8954. "dur": 2134,
  8955. "args": {
  8956. "name": "conv2d_1/Conv2D",
  8957. "op": "Conv2D"
  8958. }
  8959. },
  8960. {
  8961. "ph": "X",
  8962. "cat": "Op",
  8963. "name": "Conv2D",
  8964. "pid": 11,
  8965. "tid": 0,
  8966. "ts": 1539815916920775,
  8967. "dur": 2141,
  8968. "args": {
  8969. "name": "conv2d_1/Conv2D",
  8970. "op": "Conv2D"
  8971. }
  8972. },
  8973. {
  8974. "ph": "X",
  8975. "cat": "Op",
  8976. "name": "Conv2D",
  8977. "pid": 11,
  8978. "tid": 0,
  8979. "ts": 1539815916922974,
  8980. "dur": 4,
  8981. "args": {
  8982. "name": "conv2d_1/Conv2D",
  8983. "op": "Conv2D"
  8984. }
  8985. },
  8986. {
  8987. "ph": "X",
  8988. "cat": "Op",
  8989. "name": "Conv2D",
  8990. "pid": 11,
  8991. "tid": 0,
  8992. "ts": 1539815916922991,
  8993. "dur": 1919,
  8994. "args": {
  8995. "name": "conv2d_1/Conv2D",
  8996. "op": "Conv2D"
  8997. }
  8998. },
  8999. {
  9000. "ph": "X",
  9001. "cat": "Op",
  9002. "name": "Conv2D",
  9003. "pid": 11,
  9004. "tid": 0,
  9005. "ts": 1539815916924962,
  9006. "dur": 4,
  9007. "args": {
  9008. "name": "conv2d_1/Conv2D",
  9009. "op": "Conv2D"
  9010. }
  9011. },
  9012. {
  9013. "ph": "X",
  9014. "cat": "Op",
  9015. "name": "Conv2D",
  9016. "pid": 11,
  9017. "tid": 0,
  9018. "ts": 1539815916924977,
  9019. "dur": 1599,
  9020. "args": {
  9021. "name": "conv2d_1/Conv2D",
  9022. "op": "Conv2D"
  9023. }
  9024. },
  9025. {
  9026. "ph": "X",
  9027. "cat": "Op",
  9028. "name": "Conv2D",
  9029. "pid": 11,
  9030. "tid": 0,
  9031. "ts": 1539815916926620,
  9032. "dur": 605,
  9033. "args": {
  9034. "name": "conv2d_1/Conv2D",
  9035. "op": "Conv2D"
  9036. }
  9037. },
  9038. {
  9039. "ph": "X",
  9040. "cat": "Op",
  9041. "name": "Conv2D",
  9042. "pid": 11,
  9043. "tid": 0,
  9044. "ts": 1539815916927235,
  9045. "dur": 1960,
  9046. "args": {
  9047. "name": "conv2d_1/Conv2D",
  9048. "op": "Conv2D"
  9049. }
  9050. },
  9051. {
  9052. "ph": "X",
  9053. "cat": "Op",
  9054. "name": "Conv2D",
  9055. "pid": 11,
  9056. "tid": 0,
  9057. "ts": 1539815916929263,
  9058. "dur": 602,
  9059. "args": {
  9060. "name": "conv2d_1/Conv2D",
  9061. "op": "Conv2D"
  9062. }
  9063. },
  9064. {
  9065. "ph": "X",
  9066. "cat": "Op",
  9067. "name": "Conv2D",
  9068. "pid": 11,
  9069. "tid": 0,
  9070. "ts": 1539815916929868,
  9071. "dur": 1985,
  9072. "args": {
  9073. "name": "conv2d_1/Conv2D",
  9074. "op": "Conv2D"
  9075. }
  9076. },
  9077. {
  9078. "ph": "X",
  9079. "cat": "Op",
  9080. "name": "Conv2D",
  9081. "pid": 11,
  9082. "tid": 0,
  9083. "ts": 1539815916931928,
  9084. "dur": 16,
  9085. "args": {
  9086. "name": "conv2d_1/Conv2D",
  9087. "op": "Conv2D"
  9088. }
  9089. },
  9090. {
  9091. "ph": "X",
  9092. "cat": "Op",
  9093. "name": "Conv2D",
  9094. "pid": 11,
  9095. "tid": 0,
  9096. "ts": 1539815916931949,
  9097. "dur": 66,
  9098. "args": {
  9099. "name": "conv2d_1/Conv2D",
  9100. "op": "Conv2D"
  9101. }
  9102. },
  9103. {
  9104. "ph": "X",
  9105. "cat": "Op",
  9106. "name": "Conv2D",
  9107. "pid": 11,
  9108. "tid": 0,
  9109. "ts": 1539815916932184,
  9110. "dur": 5,
  9111. "args": {
  9112. "name": "conv2d_1/Conv2D",
  9113. "op": "Conv2D"
  9114. }
  9115. },
  9116. {
  9117. "ph": "X",
  9118. "cat": "Op",
  9119. "name": "Conv2D",
  9120. "pid": 11,
  9121. "tid": 0,
  9122. "ts": 1539815916932193,
  9123. "dur": 764,
  9124. "args": {
  9125. "name": "conv2d_1/Conv2D",
  9126. "op": "Conv2D"
  9127. }
  9128. },
  9129. {
  9130. "ph": "X",
  9131. "cat": "Op",
  9132. "name": "Conv2D",
  9133. "pid": 11,
  9134. "tid": 0,
  9135. "ts": 1539815916932962,
  9136. "dur": 263,
  9137. "args": {
  9138. "name": "conv2d_1/Conv2D",
  9139. "op": "Conv2D"
  9140. }
  9141. },
  9142. {
  9143. "ph": "X",
  9144. "cat": "Op",
  9145. "name": "Conv2D",
  9146. "pid": 11,
  9147. "tid": 0,
  9148. "ts": 1539815916933275,
  9149. "dur": 17,
  9150. "args": {
  9151. "name": "conv2d_1/Conv2D",
  9152. "op": "Conv2D"
  9153. }
  9154. },
  9155. {
  9156. "ph": "X",
  9157. "cat": "Op",
  9158. "name": "Conv2D",
  9159. "pid": 11,
  9160. "tid": 0,
  9161. "ts": 1539815916933295,
  9162. "dur": 64,
  9163. "args": {
  9164. "name": "conv2d_1/Conv2D",
  9165. "op": "Conv2D"
  9166. }
  9167. },
  9168. {
  9169. "ph": "X",
  9170. "cat": "Op",
  9171. "name": "Conv2D",
  9172. "pid": 11,
  9173. "tid": 0,
  9174. "ts": 1539815916933525,
  9175. "dur": 5,
  9176. "args": {
  9177. "name": "conv2d_1/Conv2D",
  9178. "op": "Conv2D"
  9179. }
  9180. },
  9181. {
  9182. "ph": "X",
  9183. "cat": "Op",
  9184. "name": "Conv2D",
  9185. "pid": 11,
  9186. "tid": 0,
  9187. "ts": 1539815916933533,
  9188. "dur": 764,
  9189. "args": {
  9190. "name": "conv2d_1/Conv2D",
  9191. "op": "Conv2D"
  9192. }
  9193. },
  9194. {
  9195. "ph": "X",
  9196. "cat": "Op",
  9197. "name": "Conv2D",
  9198. "pid": 11,
  9199. "tid": 0,
  9200. "ts": 1539815916934302,
  9201. "dur": 264,
  9202. "args": {
  9203. "name": "conv2d_1/Conv2D",
  9204. "op": "Conv2D"
  9205. }
  9206. },
  9207. {
  9208. "ph": "X",
  9209. "cat": "Op",
  9210. "name": "Conv2D",
  9211. "pid": 11,
  9212. "tid": 0,
  9213. "ts": 1539815916934641,
  9214. "dur": 67,
  9215. "args": {
  9216. "name": "conv2d_1/Conv2D",
  9217. "op": "Conv2D"
  9218. }
  9219. },
  9220. {
  9221. "ph": "X",
  9222. "cat": "Op",
  9223. "name": "Conv2D",
  9224. "pid": 11,
  9225. "tid": 0,
  9226. "ts": 1539815916935853,
  9227. "dur": 67,
  9228. "args": {
  9229. "name": "conv2d_1/Conv2D",
  9230. "op": "Conv2D"
  9231. }
  9232. },
  9233. {
  9234. "ph": "X",
  9235. "cat": "Op",
  9236. "name": "Conv2D",
  9237. "pid": 11,
  9238. "tid": 0,
  9239. "ts": 1539815916937063,
  9240. "dur": 169,
  9241. "args": {
  9242. "name": "conv2d_1/Conv2D",
  9243. "op": "Conv2D"
  9244. }
  9245. },
  9246. {
  9247. "ph": "X",
  9248. "cat": "Op",
  9249. "name": "Conv2D",
  9250. "pid": 11,
  9251. "tid": 0,
  9252. "ts": 1539815916937237,
  9253. "dur": 16,
  9254. "args": {
  9255. "name": "conv2d_1/Conv2D",
  9256. "op": "Conv2D"
  9257. }
  9258. },
  9259. {
  9260. "ph": "X",
  9261. "cat": "Op",
  9262. "name": "Conv2D",
  9263. "pid": 11,
  9264. "tid": 0,
  9265. "ts": 1539815916937257,
  9266. "dur": 250,
  9267. "args": {
  9268. "name": "conv2d_1/Conv2D",
  9269. "op": "Conv2D"
  9270. }
  9271. },
  9272. {
  9273. "ph": "X",
  9274. "cat": "Op",
  9275. "name": "Conv2D",
  9276. "pid": 11,
  9277. "tid": 0,
  9278. "ts": 1539815916937511,
  9279. "dur": 286,
  9280. "args": {
  9281. "name": "conv2d_1/Conv2D",
  9282. "op": "Conv2D"
  9283. }
  9284. },
  9285. {
  9286. "ph": "X",
  9287. "cat": "Op",
  9288. "name": "Conv2D",
  9289. "pid": 11,
  9290. "tid": 0,
  9291. "ts": 1539815916937841,
  9292. "dur": 175,
  9293. "args": {
  9294. "name": "conv2d_1/Conv2D",
  9295. "op": "Conv2D"
  9296. }
  9297. },
  9298. {
  9299. "ph": "X",
  9300. "cat": "Op",
  9301. "name": "Conv2D",
  9302. "pid": 11,
  9303. "tid": 0,
  9304. "ts": 1539815916938019,
  9305. "dur": 16,
  9306. "args": {
  9307. "name": "conv2d_1/Conv2D",
  9308. "op": "Conv2D"
  9309. }
  9310. },
  9311. {
  9312. "ph": "X",
  9313. "cat": "Op",
  9314. "name": "Conv2D",
  9315. "pid": 11,
  9316. "tid": 0,
  9317. "ts": 1539815916938040,
  9318. "dur": 247,
  9319. "args": {
  9320. "name": "conv2d_1/Conv2D",
  9321. "op": "Conv2D"
  9322. }
  9323. },
  9324. {
  9325. "ph": "X",
  9326. "cat": "Op",
  9327. "name": "Conv2D",
  9328. "pid": 11,
  9329. "tid": 0,
  9330. "ts": 1539815916938291,
  9331. "dur": 288,
  9332. "args": {
  9333. "name": "conv2d_1/Conv2D",
  9334. "op": "Conv2D"
  9335. }
  9336. },
  9337. {
  9338. "ph": "X",
  9339. "cat": "Op",
  9340. "name": "Conv2D",
  9341. "pid": 11,
  9342. "tid": 0,
  9343. "ts": 1539815916938621,
  9344. "dur": 174,
  9345. "args": {
  9346. "name": "conv2d_1/Conv2D",
  9347. "op": "Conv2D"
  9348. }
  9349. },
  9350. {
  9351. "ph": "X",
  9352. "cat": "Op",
  9353. "name": "Conv2D",
  9354. "pid": 11,
  9355. "tid": 0,
  9356. "ts": 1539815916938799,
  9357. "dur": 16,
  9358. "args": {
  9359. "name": "conv2d_1/Conv2D",
  9360. "op": "Conv2D"
  9361. }
  9362. },
  9363. {
  9364. "ph": "X",
  9365. "cat": "Op",
  9366. "name": "Conv2D",
  9367. "pid": 11,
  9368. "tid": 0,
  9369. "ts": 1539815916938820,
  9370. "dur": 247,
  9371. "args": {
  9372. "name": "conv2d_1/Conv2D",
  9373. "op": "Conv2D"
  9374. }
  9375. },
  9376. {
  9377. "ph": "X",
  9378. "cat": "Op",
  9379. "name": "Conv2D",
  9380. "pid": 11,
  9381. "tid": 0,
  9382. "ts": 1539815916939071,
  9383. "dur": 283,
  9384. "args": {
  9385. "name": "conv2d_1/Conv2D",
  9386. "op": "Conv2D"
  9387. }
  9388. },
  9389. {
  9390. "ph": "X",
  9391. "cat": "Op",
  9392. "name": "Mul",
  9393. "pid": 11,
  9394. "tid": 0,
  9395. "ts": 1539815916939358,
  9396. "dur": 4,
  9397. "args": {
  9398. "name": "batch_normalization_1/AssignMovingAvg/mul",
  9399. "op": "Mul"
  9400. }
  9401. },
  9402. {
  9403. "ph": "X",
  9404. "cat": "Op",
  9405. "name": "Mul",
  9406. "pid": 11,
  9407. "tid": 0,
  9408. "ts": 1539815916939365,
  9409. "dur": 4,
  9410. "args": {
  9411. "name": "batch_normalization_1/AssignMovingAvg_1/mul",
  9412. "op": "Mul"
  9413. }
  9414. },
  9415. {
  9416. "ph": "X",
  9417. "cat": "Op",
  9418. "name": "BiasAdd",
  9419. "pid": 11,
  9420. "tid": 0,
  9421. "ts": 1539815916939373,
  9422. "dur": 83,
  9423. "args": {
  9424. "name": "conv2d_1/BiasAdd",
  9425. "op": "BiasAdd"
  9426. }
  9427. },
  9428. {
  9429. "ph": "X",
  9430. "cat": "Op",
  9431. "name": "AssignSubVariableOp",
  9432. "pid": 11,
  9433. "tid": 0,
  9434. "ts": 1539815916939466,
  9435. "dur": 4,
  9436. "args": {
  9437. "name": "batch_normalization_1/AssignMovingAvg/AssignSubVariableOp",
  9438. "op": "AssignSubVariableOp"
  9439. }
  9440. },
  9441. {
  9442. "ph": "X",
  9443. "cat": "Op",
  9444. "name": "AssignSubVariableOp",
  9445. "pid": 11,
  9446. "tid": 0,
  9447. "ts": 1539815916939479,
  9448. "dur": 3,
  9449. "args": {
  9450. "name": "batch_normalization_1/AssignMovingAvg_1/AssignSubVariableOp",
  9451. "op": "AssignSubVariableOp"
  9452. }
  9453. },
  9454. {
  9455. "ph": "X",
  9456. "cat": "Op",
  9457. "name": "Elu",
  9458. "pid": 11,
  9459. "tid": 0,
  9460. "ts": 1539815916939486,
  9461. "dur": 70,
  9462. "args": {
  9463. "name": "conv2d_1/Elu",
  9464. "op": "Elu"
  9465. }
  9466. },
  9467. {
  9468. "ph": "X",
  9469. "cat": "Op",
  9470. "name": "MaxPool",
  9471. "pid": 11,
  9472. "tid": 0,
  9473. "ts": 1539815916939559,
  9474. "dur": 58,
  9475. "args": {
  9476. "name": "max_pooling2d_1/MaxPool",
  9477. "op": "MaxPool"
  9478. }
  9479. },
  9480. {
  9481. "ph": "X",
  9482. "cat": "Op",
  9483. "name": "Mul",
  9484. "pid": 11,
  9485. "tid": 0,
  9486. "ts": 1539815916939621,
  9487. "dur": 16,
  9488. "args": {
  9489. "name": "dropout_1/dropout/div",
  9490. "op": "Mul"
  9491. }
  9492. },
  9493. {
  9494. "ph": "X",
  9495. "cat": "Op",
  9496. "name": "RandomUniform",
  9497. "pid": 11,
  9498. "tid": 0,
  9499. "ts": 1539815916939641,
  9500. "dur": 15,
  9501. "args": {
  9502. "name": "dropout_1/dropout/random_uniform/RandomUniform",
  9503. "op": "RandomUniform"
  9504. }
  9505. },
  9506. {
  9507. "ph": "X",
  9508. "cat": "Op",
  9509. "name": "Add",
  9510. "pid": 11,
  9511. "tid": 0,
  9512. "ts": 1539815916939660,
  9513. "dur": 17,
  9514. "args": {
  9515. "name": "dropout_1/dropout/add",
  9516. "op": "Add"
  9517. }
  9518. },
  9519. {
  9520. "ph": "X",
  9521. "cat": "Op",
  9522. "name": "Floor",
  9523. "pid": 11,
  9524. "tid": 0,
  9525. "ts": 1539815916939680,
  9526. "dur": 15,
  9527. "args": {
  9528. "name": "dropout_1/dropout/Floor",
  9529. "op": "Floor"
  9530. }
  9531. },
  9532. {
  9533. "ph": "X",
  9534. "cat": "Op",
  9535. "name": "Transpose",
  9536. "pid": 11,
  9537. "tid": 0,
  9538. "ts": 1539815916939700,
  9539. "dur": 23,
  9540. "args": {
  9541. "name": "dropout_1/dropout/mul-1-TransposeNHWCToNCHW-LayoutOptimizer",
  9542. "op": "Transpose"
  9543. }
  9544. },
  9545. {
  9546. "ph": "X",
  9547. "cat": "Op",
  9548. "name": "Mul",
  9549. "pid": 11,
  9550. "tid": 0,
  9551. "ts": 1539815916939727,
  9552. "dur": 26,
  9553. "args": {
  9554. "name": "dropout_1/dropout/mul",
  9555. "op": "Mul"
  9556. }
  9557. },
  9558. {
  9559. "ph": "X",
  9560. "cat": "Op",
  9561. "name": "FusedBatchNorm",
  9562. "pid": 11,
  9563. "tid": 0,
  9564. "ts": 1539815916939766,
  9565. "dur": 50,
  9566. "args": {
  9567. "name": "batch_normalization_2/FusedBatchNorm",
  9568. "op": "FusedBatchNorm"
  9569. }
  9570. },
  9571. {
  9572. "ph": "X",
  9573. "cat": "Op",
  9574. "name": "Sub",
  9575. "pid": 11,
  9576. "tid": 0,
  9577. "ts": 1539815916939819,
  9578. "dur": 4,
  9579. "args": {
  9580. "name": "batch_normalization_2/AssignMovingAvg/sub_1",
  9581. "op": "Sub"
  9582. }
  9583. },
  9584. {
  9585. "ph": "X",
  9586. "cat": "Op",
  9587. "name": "Sub",
  9588. "pid": 11,
  9589. "tid": 0,
  9590. "ts": 1539815916939827,
  9591. "dur": 3,
  9592. "args": {
  9593. "name": "batch_normalization_2/AssignMovingAvg_1/sub_1",
  9594. "op": "Sub"
  9595. }
  9596. },
  9597. {
  9598. "ph": "X",
  9599. "cat": "Op",
  9600. "name": "Conv2D",
  9601. "pid": 11,
  9602. "tid": 0,
  9603. "ts": 1539815916939834,
  9604. "dur": 24,
  9605. "args": {
  9606. "name": "conv2d_2/Conv2D",
  9607. "op": "Conv2D"
  9608. }
  9609. },
  9610. {
  9611. "ph": "X",
  9612. "cat": "Op",
  9613. "name": "Conv2D",
  9614. "pid": 11,
  9615. "tid": 0,
  9616. "ts": 1539815916939864,
  9617. "dur": 1961,
  9618. "args": {
  9619. "name": "conv2d_2/Conv2D",
  9620. "op": "Conv2D"
  9621. }
  9622. },
  9623. {
  9624. "ph": "X",
  9625. "cat": "Op",
  9626. "name": "Conv2D",
  9627. "pid": 11,
  9628. "tid": 0,
  9629. "ts": 1539815916941872,
  9630. "dur": 1959,
  9631. "args": {
  9632. "name": "conv2d_2/Conv2D",
  9633. "op": "Conv2D"
  9634. }
  9635. },
  9636. {
  9637. "ph": "X",
  9638. "cat": "Op",
  9639. "name": "Conv2D",
  9640. "pid": 11,
  9641. "tid": 0,
  9642. "ts": 1539815916943890,
  9643. "dur": 4,
  9644. "args": {
  9645. "name": "conv2d_2/Conv2D",
  9646. "op": "Conv2D"
  9647. }
  9648. },
  9649. {
  9650. "ph": "X",
  9651. "cat": "Op",
  9652. "name": "Conv2D",
  9653. "pid": 11,
  9654. "tid": 0,
  9655. "ts": 1539815916943905,
  9656. "dur": 1908,
  9657. "args": {
  9658. "name": "conv2d_2/Conv2D",
  9659. "op": "Conv2D"
  9660. }
  9661. },
  9662. {
  9663. "ph": "X",
  9664. "cat": "Op",
  9665. "name": "Conv2D",
  9666. "pid": 11,
  9667. "tid": 0,
  9668. "ts": 1539815916945866,
  9669. "dur": 4,
  9670. "args": {
  9671. "name": "conv2d_2/Conv2D",
  9672. "op": "Conv2D"
  9673. }
  9674. },
  9675. {
  9676. "ph": "X",
  9677. "cat": "Op",
  9678. "name": "Conv2D",
  9679. "pid": 11,
  9680. "tid": 0,
  9681. "ts": 1539815916945880,
  9682. "dur": 1910,
  9683. "args": {
  9684. "name": "conv2d_2/Conv2D",
  9685. "op": "Conv2D"
  9686. }
  9687. },
  9688. {
  9689. "ph": "X",
  9690. "cat": "Op",
  9691. "name": "Conv2D",
  9692. "pid": 11,
  9693. "tid": 0,
  9694. "ts": 1539815916947839,
  9695. "dur": 294,
  9696. "args": {
  9697. "name": "conv2d_2/Conv2D",
  9698. "op": "Conv2D"
  9699. }
  9700. },
  9701. {
  9702. "ph": "X",
  9703. "cat": "Op",
  9704. "name": "Conv2D",
  9705. "pid": 11,
  9706. "tid": 0,
  9707. "ts": 1539815916948143,
  9708. "dur": 1808,
  9709. "args": {
  9710. "name": "conv2d_2/Conv2D",
  9711. "op": "Conv2D"
  9712. }
  9713. },
  9714. {
  9715. "ph": "X",
  9716. "cat": "Op",
  9717. "name": "Conv2D",
  9718. "pid": 11,
  9719. "tid": 0,
  9720. "ts": 1539815916949999,
  9721. "dur": 296,
  9722. "args": {
  9723. "name": "conv2d_2/Conv2D",
  9724. "op": "Conv2D"
  9725. }
  9726. },
  9727. {
  9728. "ph": "X",
  9729. "cat": "Op",
  9730. "name": "Conv2D",
  9731. "pid": 11,
  9732. "tid": 0,
  9733. "ts": 1539815916950299,
  9734. "dur": 1810,
  9735. "args": {
  9736. "name": "conv2d_2/Conv2D",
  9737. "op": "Conv2D"
  9738. }
  9739. },
  9740. {
  9741. "ph": "X",
  9742. "cat": "Op",
  9743. "name": "Conv2D",
  9744. "pid": 11,
  9745. "tid": 0,
  9746. "ts": 1539815916952181,
  9747. "dur": 58,
  9748. "args": {
  9749. "name": "conv2d_2/Conv2D",
  9750. "op": "Conv2D"
  9751. }
  9752. },
  9753. {
  9754. "ph": "X",
  9755. "cat": "Op",
  9756. "name": "Conv2D",
  9757. "pid": 11,
  9758. "tid": 0,
  9759. "ts": 1539815916952317,
  9760. "dur": 64,
  9761. "args": {
  9762. "name": "conv2d_2/Conv2D",
  9763. "op": "Conv2D"
  9764. }
  9765. },
  9766. {
  9767. "ph": "X",
  9768. "cat": "Op",
  9769. "name": "Conv2D",
  9770. "pid": 11,
  9771. "tid": 0,
  9772. "ts": 1539815916952386,
  9773. "dur": 4,
  9774. "args": {
  9775. "name": "conv2d_2/Conv2D",
  9776. "op": "Conv2D"
  9777. }
  9778. },
  9779. {
  9780. "ph": "X",
  9781. "cat": "Op",
  9782. "name": "Conv2D",
  9783. "pid": 11,
  9784. "tid": 0,
  9785. "ts": 1539815916952393,
  9786. "dur": 790,
  9787. "args": {
  9788. "name": "conv2d_2/Conv2D",
  9789. "op": "Conv2D"
  9790. }
  9791. },
  9792. {
  9793. "ph": "X",
  9794. "cat": "Op",
  9795. "name": "Conv2D",
  9796. "pid": 11,
  9797. "tid": 0,
  9798. "ts": 1539815916953188,
  9799. "dur": 143,
  9800. "args": {
  9801. "name": "conv2d_2/Conv2D",
  9802. "op": "Conv2D"
  9803. }
  9804. },
  9805. {
  9806. "ph": "X",
  9807. "cat": "Op",
  9808. "name": "Conv2D",
  9809. "pid": 11,
  9810. "tid": 0,
  9811. "ts": 1539815916953377,
  9812. "dur": 57,
  9813. "args": {
  9814. "name": "conv2d_2/Conv2D",
  9815. "op": "Conv2D"
  9816. }
  9817. },
  9818. {
  9819. "ph": "X",
  9820. "cat": "Op",
  9821. "name": "Conv2D",
  9822. "pid": 11,
  9823. "tid": 0,
  9824. "ts": 1539815916953513,
  9825. "dur": 63,
  9826. "args": {
  9827. "name": "conv2d_2/Conv2D",
  9828. "op": "Conv2D"
  9829. }
  9830. },
  9831. {
  9832. "ph": "X",
  9833. "cat": "Op",
  9834. "name": "Conv2D",
  9835. "pid": 11,
  9836. "tid": 0,
  9837. "ts": 1539815916953581,
  9838. "dur": 4,
  9839. "args": {
  9840. "name": "conv2d_2/Conv2D",
  9841. "op": "Conv2D"
  9842. }
  9843. },
  9844. {
  9845. "ph": "X",
  9846. "cat": "Op",
  9847. "name": "Conv2D",
  9848. "pid": 11,
  9849. "tid": 0,
  9850. "ts": 1539815916953588,
  9851. "dur": 789,
  9852. "args": {
  9853. "name": "conv2d_2/Conv2D",
  9854. "op": "Conv2D"
  9855. }
  9856. },
  9857. {
  9858. "ph": "X",
  9859. "cat": "Op",
  9860. "name": "Conv2D",
  9861. "pid": 11,
  9862. "tid": 0,
  9863. "ts": 1539815916954382,
  9864. "dur": 142,
  9865. "args": {
  9866. "name": "conv2d_2/Conv2D",
  9867. "op": "Conv2D"
  9868. }
  9869. },
  9870. {
  9871. "ph": "X",
  9872. "cat": "Op",
  9873. "name": "Conv2D",
  9874. "pid": 11,
  9875. "tid": 0,
  9876. "ts": 1539815916954597,
  9877. "dur": 231,
  9878. "args": {
  9879. "name": "conv2d_2/Conv2D",
  9880. "op": "Conv2D"
  9881. }
  9882. },
  9883. {
  9884. "ph": "X",
  9885. "cat": "Op",
  9886. "name": "Conv2D",
  9887. "pid": 11,
  9888. "tid": 0,
  9889. "ts": 1539815916957909,
  9890. "dur": 228,
  9891. "args": {
  9892. "name": "conv2d_2/Conv2D",
  9893. "op": "Conv2D"
  9894. }
  9895. },
  9896. {
  9897. "ph": "X",
  9898. "cat": "Op",
  9899. "name": "Conv2D",
  9900. "pid": 11,
  9901. "tid": 0,
  9902. "ts": 1539815916961219,
  9903. "dur": 282,
  9904. "args": {
  9905. "name": "conv2d_2/Conv2D",
  9906. "op": "Conv2D"
  9907. }
  9908. },
  9909. {
  9910. "ph": "X",
  9911. "cat": "Op",
  9912. "name": "Conv2D",
  9913. "pid": 11,
  9914. "tid": 0,
  9915. "ts": 1539815916961505,
  9916. "dur": 51,
  9917. "args": {
  9918. "name": "conv2d_2/Conv2D",
  9919. "op": "Conv2D"
  9920. }
  9921. },
  9922. {
  9923. "ph": "X",
  9924. "cat": "Op",
  9925. "name": "Conv2D",
  9926. "pid": 11,
  9927. "tid": 0,
  9928. "ts": 1539815916961560,
  9929. "dur": 236,
  9930. "args": {
  9931. "name": "conv2d_2/Conv2D",
  9932. "op": "Conv2D"
  9933. }
  9934. },
  9935. {
  9936. "ph": "X",
  9937. "cat": "Op",
  9938. "name": "Conv2D",
  9939. "pid": 11,
  9940. "tid": 0,
  9941. "ts": 1539815916961800,
  9942. "dur": 438,
  9943. "args": {
  9944. "name": "conv2d_2/Conv2D",
  9945. "op": "Conv2D"
  9946. }
  9947. },
  9948. {
  9949. "ph": "X",
  9950. "cat": "Op",
  9951. "name": "Conv2D",
  9952. "pid": 11,
  9953. "tid": 0,
  9954. "ts": 1539815916962282,
  9955. "dur": 282,
  9956. "args": {
  9957. "name": "conv2d_2/Conv2D",
  9958. "op": "Conv2D"
  9959. }
  9960. },
  9961. {
  9962. "ph": "X",
  9963. "cat": "Op",
  9964. "name": "Conv2D",
  9965. "pid": 11,
  9966. "tid": 0,
  9967. "ts": 1539815916962567,
  9968. "dur": 51,
  9969. "args": {
  9970. "name": "conv2d_2/Conv2D",
  9971. "op": "Conv2D"
  9972. }
  9973. },
  9974. {
  9975. "ph": "X",
  9976. "cat": "Op",
  9977. "name": "Conv2D",
  9978. "pid": 11,
  9979. "tid": 0,
  9980. "ts": 1539815916962623,
  9981. "dur": 236,
  9982. "args": {
  9983. "name": "conv2d_2/Conv2D",
  9984. "op": "Conv2D"
  9985. }
  9986. },
  9987. {
  9988. "ph": "X",
  9989. "cat": "Op",
  9990. "name": "Conv2D",
  9991. "pid": 11,
  9992. "tid": 0,
  9993. "ts": 1539815916962863,
  9994. "dur": 439,
  9995. "args": {
  9996. "name": "conv2d_2/Conv2D",
  9997. "op": "Conv2D"
  9998. }
  9999. },
  10000. {
  10001. "ph": "X",
  10002. "cat": "Op",
  10003. "name": "Conv2D",
  10004. "pid": 11,
  10005. "tid": 0,
  10006. "ts": 1539815916963354,
  10007. "dur": 282,
  10008. "args": {
  10009. "name": "conv2d_2/Conv2D",
  10010. "op": "Conv2D"
  10011. }
  10012. },
  10013. {
  10014. "ph": "X",
  10015. "cat": "Op",
  10016. "name": "Conv2D",
  10017. "pid": 11,
  10018. "tid": 0,
  10019. "ts": 1539815916963640,
  10020. "dur": 50,
  10021. "args": {
  10022. "name": "conv2d_2/Conv2D",
  10023. "op": "Conv2D"
  10024. }
  10025. },
  10026. {
  10027. "ph": "X",
  10028. "cat": "Op",
  10029. "name": "Conv2D",
  10030. "pid": 11,
  10031. "tid": 0,
  10032. "ts": 1539815916963694,
  10033. "dur": 247,
  10034. "args": {
  10035. "name": "conv2d_2/Conv2D",
  10036. "op": "Conv2D"
  10037. }
  10038. },
  10039. {
  10040. "ph": "X",
  10041. "cat": "Op",
  10042. "name": "Conv2D",
  10043. "pid": 11,
  10044. "tid": 0,
  10045. "ts": 1539815916963945,
  10046. "dur": 438,
  10047. "args": {
  10048. "name": "conv2d_2/Conv2D",
  10049. "op": "Conv2D"
  10050. }
  10051. },
  10052. {
  10053. "ph": "X",
  10054. "cat": "Op",
  10055. "name": "Mul",
  10056. "pid": 11,
  10057. "tid": 0,
  10058. "ts": 1539815916964386,
  10059. "dur": 4,
  10060. "args": {
  10061. "name": "batch_normalization_2/AssignMovingAvg/mul",
  10062. "op": "Mul"
  10063. }
  10064. },
  10065. {
  10066. "ph": "X",
  10067. "cat": "Op",
  10068. "name": "Mul",
  10069. "pid": 11,
  10070. "tid": 0,
  10071. "ts": 1539815916964393,
  10072. "dur": 4,
  10073. "args": {
  10074. "name": "batch_normalization_2/AssignMovingAvg_1/mul",
  10075. "op": "Mul"
  10076. }
  10077. },
  10078. {
  10079. "ph": "X",
  10080. "cat": "Op",
  10081. "name": "BiasAdd",
  10082. "pid": 11,
  10083. "tid": 0,
  10084. "ts": 1539815916964400,
  10085. "dur": 44,
  10086. "args": {
  10087. "name": "conv2d_2/BiasAdd",
  10088. "op": "BiasAdd"
  10089. }
  10090. },
  10091. {
  10092. "ph": "X",
  10093. "cat": "Op",
  10094. "name": "AssignSubVariableOp",
  10095. "pid": 11,
  10096. "tid": 0,
  10097. "ts": 1539815916964452,
  10098. "dur": 4,
  10099. "args": {
  10100. "name": "batch_normalization_2/AssignMovingAvg/AssignSubVariableOp",
  10101. "op": "AssignSubVariableOp"
  10102. }
  10103. },
  10104. {
  10105. "ph": "X",
  10106. "cat": "Op",
  10107. "name": "AssignSubVariableOp",
  10108. "pid": 11,
  10109. "tid": 0,
  10110. "ts": 1539815916964465,
  10111. "dur": 3,
  10112. "args": {
  10113. "name": "batch_normalization_2/AssignMovingAvg_1/AssignSubVariableOp",
  10114. "op": "AssignSubVariableOp"
  10115. }
  10116. },
  10117. {
  10118. "ph": "X",
  10119. "cat": "Op",
  10120. "name": "Elu",
  10121. "pid": 11,
  10122. "tid": 0,
  10123. "ts": 1539815916964471,
  10124. "dur": 37,
  10125. "args": {
  10126. "name": "conv2d_2/Elu",
  10127. "op": "Elu"
  10128. }
  10129. },
  10130. {
  10131. "ph": "X",
  10132. "cat": "Op",
  10133. "name": "MaxPool",
  10134. "pid": 11,
  10135. "tid": 0,
  10136. "ts": 1539815916964512,
  10137. "dur": 31,
  10138. "args": {
  10139. "name": "max_pooling2d_2/MaxPool",
  10140. "op": "MaxPool"
  10141. }
  10142. },
  10143. {
  10144. "ph": "X",
  10145. "cat": "Op",
  10146. "name": "Mul",
  10147. "pid": 11,
  10148. "tid": 0,
  10149. "ts": 1539815916964547,
  10150. "dur": 6,
  10151. "args": {
  10152. "name": "dropout_2/dropout/div",
  10153. "op": "Mul"
  10154. }
  10155. },
  10156. {
  10157. "ph": "X",
  10158. "cat": "Op",
  10159. "name": "RandomUniform",
  10160. "pid": 11,
  10161. "tid": 0,
  10162. "ts": 1539815916964557,
  10163. "dur": 11,
  10164. "args": {
  10165. "name": "dropout_2/dropout/random_uniform/RandomUniform",
  10166. "op": "RandomUniform"
  10167. }
  10168. },
  10169. {
  10170. "ph": "X",
  10171. "cat": "Op",
  10172. "name": "Add",
  10173. "pid": 11,
  10174. "tid": 0,
  10175. "ts": 1539815916964571,
  10176. "dur": 6,
  10177. "args": {
  10178. "name": "dropout_2/dropout/add",
  10179. "op": "Add"
  10180. }
  10181. },
  10182. {
  10183. "ph": "X",
  10184. "cat": "Op",
  10185. "name": "Floor",
  10186. "pid": 11,
  10187. "tid": 0,
  10188. "ts": 1539815916964581,
  10189. "dur": 6,
  10190. "args": {
  10191. "name": "dropout_2/dropout/Floor",
  10192. "op": "Floor"
  10193. }
  10194. },
  10195. {
  10196. "ph": "X",
  10197. "cat": "Op",
  10198. "name": "Transpose",
  10199. "pid": 11,
  10200. "tid": 0,
  10201. "ts": 1539815916965087,
  10202. "dur": 12,
  10203. "args": {
  10204. "name": "dropout_2/dropout/mul-1-TransposeNHWCToNCHW-LayoutOptimizer",
  10205. "op": "Transpose"
  10206. }
  10207. },
  10208. {
  10209. "ph": "X",
  10210. "cat": "Op",
  10211. "name": "Mul",
  10212. "pid": 11,
  10213. "tid": 0,
  10214. "ts": 1539815916965124,
  10215. "dur": 9,
  10216. "args": {
  10217. "name": "dropout_2/dropout/mul",
  10218. "op": "Mul"
  10219. }
  10220. },
  10221. {
  10222. "ph": "X",
  10223. "cat": "Op",
  10224. "name": "Transpose",
  10225. "pid": 11,
  10226. "tid": 0,
  10227. "ts": 1539815916965171,
  10228. "dur": 9,
  10229. "args": {
  10230. "name": "dropout_2/dropout/mul-1-0-TransposeNCHWToNHWC-LayoutOptimizer",
  10231. "op": "Transpose"
  10232. }
  10233. },
  10234. {
  10235. "ph": "X",
  10236. "cat": "Op",
  10237. "name": "MatMul",
  10238. "pid": 11,
  10239. "tid": 0,
  10240. "ts": 1539815916967982,
  10241. "dur": 82,
  10242. "args": {
  10243. "name": "dense/MatMul",
  10244. "op": "MatMul"
  10245. }
  10246. },
  10247. {
  10248. "ph": "X",
  10249. "cat": "Op",
  10250. "name": "BiasAdd",
  10251. "pid": 11,
  10252. "tid": 0,
  10253. "ts": 1539815916968068,
  10254. "dur": 4,
  10255. "args": {
  10256. "name": "dense/BiasAdd",
  10257. "op": "BiasAdd"
  10258. }
  10259. },
  10260. {
  10261. "ph": "X",
  10262. "cat": "Op",
  10263. "name": "Elu",
  10264. "pid": 11,
  10265. "tid": 0,
  10266. "ts": 1539815916968076,
  10267. "dur": 5,
  10268. "args": {
  10269. "name": "activation/Elu",
  10270. "op": "Elu"
  10271. }
  10272. },
  10273. {
  10274. "ph": "X",
  10275. "cat": "Op",
  10276. "name": "Mul",
  10277. "pid": 11,
  10278. "tid": 0,
  10279. "ts": 1539815916968095,
  10280. "dur": 4,
  10281. "args": {
  10282. "name": "dropout_3/dropout/div",
  10283. "op": "Mul"
  10284. }
  10285. },
  10286. {
  10287. "ph": "X",
  10288. "cat": "Op",
  10289. "name": "RandomUniform",
  10290. "pid": 11,
  10291. "tid": 0,
  10292. "ts": 1539815916968140,
  10293. "dur": 7,
  10294. "args": {
  10295. "name": "dropout_3/dropout/random_uniform/RandomUniform",
  10296. "op": "RandomUniform"
  10297. }
  10298. },
  10299. {
  10300. "ph": "X",
  10301. "cat": "Op",
  10302. "name": "Add",
  10303. "pid": 11,
  10304. "tid": 0,
  10305. "ts": 1539815916968170,
  10306. "dur": 5,
  10307. "args": {
  10308. "name": "dropout_3/dropout/add",
  10309. "op": "Add"
  10310. }
  10311. },
  10312. {
  10313. "ph": "X",
  10314. "cat": "Op",
  10315. "name": "Floor",
  10316. "pid": 11,
  10317. "tid": 0,
  10318. "ts": 1539815916968193,
  10319. "dur": 3,
  10320. "args": {
  10321. "name": "dropout_3/dropout/Floor",
  10322. "op": "Floor"
  10323. }
  10324. },
  10325. {
  10326. "ph": "X",
  10327. "cat": "Op",
  10328. "name": "Mul",
  10329. "pid": 11,
  10330. "tid": 0,
  10331. "ts": 1539815916968215,
  10332. "dur": 5,
  10333. "args": {
  10334. "name": "dropout_3/dropout/mul",
  10335. "op": "Mul"
  10336. }
  10337. },
  10338. {
  10339. "ph": "X",
  10340. "cat": "Op",
  10341. "name": "MatMul",
  10342. "pid": 11,
  10343. "tid": 0,
  10344. "ts": 1539815916968249,
  10345. "dur": 38,
  10346. "args": {
  10347. "name": "dense_1/MatMul",
  10348. "op": "MatMul"
  10349. }
  10350. },
  10351. {
  10352. "ph": "X",
  10353. "cat": "Op",
  10354. "name": "BiasAdd",
  10355. "pid": 11,
  10356. "tid": 0,
  10357. "ts": 1539815916968292,
  10358. "dur": 3,
  10359. "args": {
  10360. "name": "dense_1/BiasAdd",
  10361. "op": "BiasAdd"
  10362. }
  10363. },
  10364. {
  10365. "ph": "X",
  10366. "cat": "Op",
  10367. "name": "Softmax",
  10368. "pid": 11,
  10369. "tid": 0,
  10370. "ts": 1539815916971373,
  10371. "dur": 5,
  10372. "args": {
  10373. "name": "activation_1/Softmax",
  10374. "op": "Softmax"
  10375. }
  10376. },
  10377. {
  10378. "ph": "X",
  10379. "cat": "Op",
  10380. "name": "Softmax",
  10381. "pid": 11,
  10382. "tid": 0,
  10383. "ts": 1539815916971386,
  10384. "dur": 5,
  10385. "args": {
  10386. "name": "activation_1/Softmax",
  10387. "op": "Softmax"
  10388. }
  10389. },
  10390. {
  10391. "ph": "X",
  10392. "cat": "Op",
  10393. "name": "Softmax",
  10394. "pid": 11,
  10395. "tid": 0,
  10396. "ts": 1539815916971397,
  10397. "dur": 4,
  10398. "args": {
  10399. "name": "activation_1/Softmax",
  10400. "op": "Softmax"
  10401. }
  10402. },
  10403. {
  10404. "ph": "X",
  10405. "cat": "Op",
  10406. "name": "LessEqual",
  10407. "pid": 11,
  10408. "tid": 0,
  10409. "ts": 1539815916974100,
  10410. "dur": 3,
  10411. "args": {
  10412. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value/Minimum_grad/LessEqual",
  10413. "op": "LessEqual"
  10414. }
  10415. },
  10416. {
  10417. "ph": "X",
  10418. "cat": "Op",
  10419. "name": "Minimum",
  10420. "pid": 11,
  10421. "tid": 0,
  10422. "ts": 1539815916974167,
  10423. "dur": 4,
  10424. "args": {
  10425. "name": "loss/activation_1_loss/clip_by_value/Minimum",
  10426. "op": "Minimum"
  10427. }
  10428. },
  10429. {
  10430. "ph": "X",
  10431. "cat": "Op",
  10432. "name": "GreaterEqual",
  10433. "pid": 11,
  10434. "tid": 0,
  10435. "ts": 1539815916975739,
  10436. "dur": 4,
  10437. "args": {
  10438. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value_grad/GreaterEqual",
  10439. "op": "GreaterEqual"
  10440. }
  10441. },
  10442. {
  10443. "ph": "X",
  10444. "cat": "Op",
  10445. "name": "Maximum",
  10446. "pid": 11,
  10447. "tid": 0,
  10448. "ts": 1539815916975819,
  10449. "dur": 5,
  10450. "args": {
  10451. "name": "loss/activation_1_loss/clip_by_value",
  10452. "op": "Maximum"
  10453. }
  10454. },
  10455. {
  10456. "ph": "X",
  10457. "cat": "Op",
  10458. "name": "Log",
  10459. "pid": 11,
  10460. "tid": 0,
  10461. "ts": 1539815916975897,
  10462. "dur": 5,
  10463. "args": {
  10464. "name": "loss/activation_1_loss/Log",
  10465. "op": "Log"
  10466. }
  10467. },
  10468. {
  10469. "ph": "X",
  10470. "cat": "Op",
  10471. "name": "SparseSoftmaxCrossEntropyWithLogits",
  10472. "pid": 11,
  10473. "tid": 0,
  10474. "ts": 1539815916975960,
  10475. "dur": 5,
  10476. "args": {
  10477. "name": "loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  10478. "op": "SparseSoftmaxCrossEntropyWithLogits"
  10479. }
  10480. },
  10481. {
  10482. "ph": "X",
  10483. "cat": "Op",
  10484. "name": "SparseSoftmaxCrossEntropyWithLogits",
  10485. "pid": 11,
  10486. "tid": 0,
  10487. "ts": 1539815916975975,
  10488. "dur": 5,
  10489. "args": {
  10490. "name": "loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  10491. "op": "SparseSoftmaxCrossEntropyWithLogits"
  10492. }
  10493. },
  10494. {
  10495. "ph": "X",
  10496. "cat": "Op",
  10497. "name": "SparseSoftmaxCrossEntropyWithLogits",
  10498. "pid": 11,
  10499. "tid": 0,
  10500. "ts": 1539815916976001,
  10501. "dur": 7,
  10502. "args": {
  10503. "name": "loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  10504. "op": "SparseSoftmaxCrossEntropyWithLogits"
  10505. }
  10506. },
  10507. {
  10508. "ph": "X",
  10509. "cat": "Op",
  10510. "name": "SparseSoftmaxCrossEntropyWithLogits",
  10511. "pid": 11,
  10512. "tid": 0,
  10513. "ts": 1539815916976014,
  10514. "dur": 11,
  10515. "args": {
  10516. "name": "loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  10517. "op": "SparseSoftmaxCrossEntropyWithLogits"
  10518. }
  10519. },
  10520. {
  10521. "ph": "X",
  10522. "cat": "Op",
  10523. "name": "SparseSoftmaxCrossEntropyWithLogits",
  10524. "pid": 11,
  10525. "tid": 0,
  10526. "ts": 1539815916976028,
  10527. "dur": 4,
  10528. "args": {
  10529. "name": "loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  10530. "op": "SparseSoftmaxCrossEntropyWithLogits"
  10531. }
  10532. },
  10533. {
  10534. "ph": "X",
  10535. "cat": "Op",
  10536. "name": "SparseSoftmaxCrossEntropyWithLogits",
  10537. "pid": 11,
  10538. "tid": 0,
  10539. "ts": 1539815916976036,
  10540. "dur": 4,
  10541. "args": {
  10542. "name": "loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  10543. "op": "SparseSoftmaxCrossEntropyWithLogits"
  10544. }
  10545. },
  10546. {
  10547. "ph": "X",
  10548. "cat": "Op",
  10549. "name": "Mean",
  10550. "pid": 11,
  10551. "tid": 0,
  10552. "ts": 1539815916982172,
  10553. "dur": 5,
  10554. "args": {
  10555. "name": "loss/activation_1_loss/Mean",
  10556. "op": "Mean"
  10557. }
  10558. },
  10559. {
  10560. "ph": "X",
  10561. "cat": "Op",
  10562. "name": "Tile",
  10563. "pid": 11,
  10564. "tid": 0,
  10565. "ts": 1539815916983725,
  10566. "dur": 5,
  10567. "args": {
  10568. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/Mean_grad/Tile",
  10569. "op": "Tile"
  10570. }
  10571. },
  10572. {
  10573. "ph": "X",
  10574. "cat": "Op",
  10575. "name": "Cast",
  10576. "pid": 11,
  10577. "tid": 0,
  10578. "ts": 1539815916983927,
  10579. "dur": 3,
  10580. "args": {
  10581. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/Mean_grad/Cast",
  10582. "op": "Cast"
  10583. }
  10584. },
  10585. {
  10586. "ph": "X",
  10587. "cat": "Op",
  10588. "name": "RealDiv",
  10589. "pid": 11,
  10590. "tid": 0,
  10591. "ts": 1539815916985488,
  10592. "dur": 4,
  10593. "args": {
  10594. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/Mean_grad/truediv",
  10595. "op": "RealDiv"
  10596. }
  10597. },
  10598. {
  10599. "ph": "X",
  10600. "cat": "Op",
  10601. "name": "Mul",
  10602. "pid": 11,
  10603. "tid": 0,
  10604. "ts": 1539815916986440,
  10605. "dur": 6,
  10606. "args": {
  10607. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits_grad/mul",
  10608. "op": "Mul"
  10609. }
  10610. },
  10611. {
  10612. "ph": "X",
  10613. "cat": "Op",
  10614. "name": "Reciprocal",
  10615. "pid": 11,
  10616. "tid": 0,
  10617. "ts": 1539815916986491,
  10618. "dur": 4,
  10619. "args": {
  10620. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/Log_grad/Reciprocal",
  10621. "op": "Reciprocal"
  10622. }
  10623. },
  10624. {
  10625. "ph": "X",
  10626. "cat": "Op",
  10627. "name": "Mul",
  10628. "pid": 11,
  10629. "tid": 0,
  10630. "ts": 1539815916986526,
  10631. "dur": 4,
  10632. "args": {
  10633. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/Log_grad/mul",
  10634. "op": "Mul"
  10635. }
  10636. },
  10637. {
  10638. "ph": "X",
  10639. "cat": "Op",
  10640. "name": "Fill",
  10641. "pid": 11,
  10642. "tid": 0,
  10643. "ts": 1539815916986608,
  10644. "dur": 3,
  10645. "args": {
  10646. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value_grad/zeros",
  10647. "op": "Fill"
  10648. }
  10649. },
  10650. {
  10651. "ph": "X",
  10652. "cat": "Op",
  10653. "name": "Select",
  10654. "pid": 11,
  10655. "tid": 0,
  10656. "ts": 1539815916986652,
  10657. "dur": 4,
  10658. "args": {
  10659. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value_grad/Select",
  10660. "op": "Select"
  10661. }
  10662. },
  10663. {
  10664. "ph": "X",
  10665. "cat": "Op",
  10666. "name": "Fill",
  10667. "pid": 11,
  10668. "tid": 0,
  10669. "ts": 1539815916990874,
  10670. "dur": 3,
  10671. "args": {
  10672. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value/Minimum_grad/zeros",
  10673. "op": "Fill"
  10674. }
  10675. },
  10676. {
  10677. "ph": "X",
  10678. "cat": "Op",
  10679. "name": "Select",
  10680. "pid": 11,
  10681. "tid": 0,
  10682. "ts": 1539815916990923,
  10683. "dur": 3,
  10684. "args": {
  10685. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value/Minimum_grad/Select",
  10686. "op": "Select"
  10687. }
  10688. },
  10689. {
  10690. "ph": "X",
  10691. "cat": "Op",
  10692. "name": "Mul",
  10693. "pid": 11,
  10694. "tid": 0,
  10695. "ts": 1539815916991060,
  10696. "dur": 3,
  10697. "args": {
  10698. "name": "training/TFOptimizer/gradients/activation_1/Softmax_grad/mul",
  10699. "op": "Mul"
  10700. }
  10701. },
  10702. {
  10703. "ph": "X",
  10704. "cat": "Op",
  10705. "name": "Sum",
  10706. "pid": 11,
  10707. "tid": 0,
  10708. "ts": 1539815916991114,
  10709. "dur": 5,
  10710. "args": {
  10711. "name": "training/TFOptimizer/gradients/activation_1/Softmax_grad/Sum",
  10712. "op": "Sum"
  10713. }
  10714. },
  10715. {
  10716. "ph": "X",
  10717. "cat": "Op",
  10718. "name": "Sub",
  10719. "pid": 11,
  10720. "tid": 0,
  10721. "ts": 1539815916991147,
  10722. "dur": 6,
  10723. "args": {
  10724. "name": "training/TFOptimizer/gradients/activation_1/Softmax_grad/sub",
  10725. "op": "Sub"
  10726. }
  10727. },
  10728. {
  10729. "ph": "X",
  10730. "cat": "Op",
  10731. "name": "Mul",
  10732. "pid": 11,
  10733. "tid": 0,
  10734. "ts": 1539815916991229,
  10735. "dur": 3,
  10736. "args": {
  10737. "name": "training/TFOptimizer/gradients/activation_1/Softmax_grad/mul_1",
  10738. "op": "Mul"
  10739. }
  10740. },
  10741. {
  10742. "ph": "X",
  10743. "cat": "Op",
  10744. "name": "BiasAddGrad",
  10745. "pid": 11,
  10746. "tid": 0,
  10747. "ts": 1539815916991316,
  10748. "dur": 7,
  10749. "args": {
  10750. "name": "training/TFOptimizer/gradients/dense_1/BiasAdd_grad/BiasAddGrad",
  10751. "op": "BiasAddGrad"
  10752. }
  10753. },
  10754. {
  10755. "ph": "X",
  10756. "cat": "Op",
  10757. "name": "BiasAddGrad",
  10758. "pid": 11,
  10759. "tid": 0,
  10760. "ts": 1539815916991366,
  10761. "dur": 6,
  10762. "args": {
  10763. "name": "training/TFOptimizer/gradients/dense_1/BiasAdd_grad/BiasAddGrad",
  10764. "op": "BiasAddGrad"
  10765. }
  10766. },
  10767. {
  10768. "ph": "X",
  10769. "cat": "Op",
  10770. "name": "BiasAddGrad",
  10771. "pid": 11,
  10772. "tid": 0,
  10773. "ts": 1539815916991381,
  10774. "dur": 5,
  10775. "args": {
  10776. "name": "training/TFOptimizer/gradients/dense_1/BiasAdd_grad/BiasAddGrad",
  10777. "op": "BiasAddGrad"
  10778. }
  10779. },
  10780. {
  10781. "ph": "X",
  10782. "cat": "Op",
  10783. "name": "MatMul",
  10784. "pid": 11,
  10785. "tid": 0,
  10786. "ts": 1539815916991476,
  10787. "dur": 17,
  10788. "args": {
  10789. "name": "training/TFOptimizer/gradients/dense_1/MatMul_grad/MatMul",
  10790. "op": "MatMul"
  10791. }
  10792. },
  10793. {
  10794. "ph": "X",
  10795. "cat": "Op",
  10796. "name": "MatMul",
  10797. "pid": 11,
  10798. "tid": 0,
  10799. "ts": 1539815916991524,
  10800. "dur": 40,
  10801. "args": {
  10802. "name": "training/TFOptimizer/gradients/dense_1/MatMul_grad/MatMul_1",
  10803. "op": "MatMul"
  10804. }
  10805. },
  10806. {
  10807. "ph": "X",
  10808. "cat": "Op",
  10809. "name": "Mul",
  10810. "pid": 11,
  10811. "tid": 0,
  10812. "ts": 1539815916991575,
  10813. "dur": 4,
  10814. "args": {
  10815. "name": "training/TFOptimizer/gradients/dropout_3/dropout/mul_grad/Mul",
  10816. "op": "Mul"
  10817. }
  10818. },
  10819. {
  10820. "ph": "X",
  10821. "cat": "Op",
  10822. "name": "Mul",
  10823. "pid": 11,
  10824. "tid": 0,
  10825. "ts": 1539815916991604,
  10826. "dur": 4,
  10827. "args": {
  10828. "name": "training/TFOptimizer/gradients/dropout_3/dropout/div_grad/RealDiv",
  10829. "op": "Mul"
  10830. }
  10831. },
  10832. {
  10833. "ph": "X",
  10834. "cat": "Op",
  10835. "name": "EluGrad",
  10836. "pid": 11,
  10837. "tid": 0,
  10838. "ts": 1539815916991708,
  10839. "dur": 4,
  10840. "args": {
  10841. "name": "training/TFOptimizer/gradients/activation/Elu_grad/EluGrad",
  10842. "op": "EluGrad"
  10843. }
  10844. },
  10845. {
  10846. "ph": "X",
  10847. "cat": "Op",
  10848. "name": "BiasAddGrad",
  10849. "pid": 11,
  10850. "tid": 0,
  10851. "ts": 1539815916991757,
  10852. "dur": 5,
  10853. "args": {
  10854. "name": "training/TFOptimizer/gradients/dense/BiasAdd_grad/BiasAddGrad",
  10855. "op": "BiasAddGrad"
  10856. }
  10857. },
  10858. {
  10859. "ph": "X",
  10860. "cat": "Op",
  10861. "name": "BiasAddGrad",
  10862. "pid": 11,
  10863. "tid": 0,
  10864. "ts": 1539815916991793,
  10865. "dur": 5,
  10866. "args": {
  10867. "name": "training/TFOptimizer/gradients/dense/BiasAdd_grad/BiasAddGrad",
  10868. "op": "BiasAddGrad"
  10869. }
  10870. },
  10871. {
  10872. "ph": "X",
  10873. "cat": "Op",
  10874. "name": "BiasAddGrad",
  10875. "pid": 11,
  10876. "tid": 0,
  10877. "ts": 1539815916991804,
  10878. "dur": 6,
  10879. "args": {
  10880. "name": "training/TFOptimizer/gradients/dense/BiasAdd_grad/BiasAddGrad",
  10881. "op": "BiasAddGrad"
  10882. }
  10883. },
  10884. {
  10885. "ph": "X",
  10886. "cat": "Op",
  10887. "name": "MatMul",
  10888. "pid": 11,
  10889. "tid": 0,
  10890. "ts": 1539815916991886,
  10891. "dur": 37,
  10892. "args": {
  10893. "name": "training/TFOptimizer/gradients/dense/MatMul_grad/MatMul",
  10894. "op": "MatMul"
  10895. }
  10896. },
  10897. {
  10898. "ph": "X",
  10899. "cat": "Op",
  10900. "name": "MatMul",
  10901. "pid": 11,
  10902. "tid": 0,
  10903. "ts": 1539815916991928,
  10904. "dur": 41,
  10905. "args": {
  10906. "name": "training/TFOptimizer/gradients/dense/MatMul_grad/MatMul_1",
  10907. "op": "MatMul"
  10908. }
  10909. },
  10910. {
  10911. "ph": "X",
  10912. "cat": "Op",
  10913. "name": "Mul",
  10914. "pid": 11,
  10915. "tid": 0,
  10916. "ts": 1539815916991987,
  10917. "dur": 13,
  10918. "args": {
  10919. "name": "training/TFOptimizer/gradients/dropout_2/dropout/mul_grad/Mul",
  10920. "op": "Mul"
  10921. }
  10922. },
  10923. {
  10924. "ph": "X",
  10925. "cat": "Op",
  10926. "name": "Mul",
  10927. "pid": 11,
  10928. "tid": 0,
  10929. "ts": 1539815916992023,
  10930. "dur": 5,
  10931. "args": {
  10932. "name": "training/TFOptimizer/gradients/dropout_2/dropout/div_grad/RealDiv",
  10933. "op": "Mul"
  10934. }
  10935. },
  10936. {
  10937. "ph": "X",
  10938. "cat": "Op",
  10939. "name": "Transpose",
  10940. "pid": 11,
  10941. "tid": 0,
  10942. "ts": 1539815916992134,
  10943. "dur": 12,
  10944. "args": {
  10945. "name": "training/TFOptimizer/gradients/max_pooling2d_2/MaxPool_grad/MaxPoolGrad-2-TransposeNHWCToNCHW-LayoutOptimizer",
  10946. "op": "Transpose"
  10947. }
  10948. },
  10949. {
  10950. "ph": "X",
  10951. "cat": "Op",
  10952. "name": "MaxPoolGrad",
  10953. "pid": 11,
  10954. "tid": 0,
  10955. "ts": 1539815916993602,
  10956. "dur": 192,
  10957. "args": {
  10958. "name": "training/TFOptimizer/gradients/max_pooling2d_2/MaxPool_grad/MaxPoolGrad",
  10959. "op": "MaxPoolGrad"
  10960. }
  10961. },
  10962. {
  10963. "ph": "X",
  10964. "cat": "Op",
  10965. "name": "EluGrad",
  10966. "pid": 11,
  10967. "tid": 0,
  10968. "ts": 1539815916993797,
  10969. "dur": 51,
  10970. "args": {
  10971. "name": "training/TFOptimizer/gradients/conv2d_2/Elu_grad/EluGrad",
  10972. "op": "EluGrad"
  10973. }
  10974. },
  10975. {
  10976. "ph": "X",
  10977. "cat": "Op",
  10978. "name": "BiasAddGrad",
  10979. "pid": 11,
  10980. "tid": 0,
  10981. "ts": 1539815916993860,
  10982. "dur": 36,
  10983. "args": {
  10984. "name": "training/TFOptimizer/gradients/conv2d_2/BiasAdd_grad/BiasAddGrad",
  10985. "op": "BiasAddGrad"
  10986. }
  10987. },
  10988. {
  10989. "ph": "X",
  10990. "cat": "Op",
  10991. "name": "BiasAddGrad",
  10992. "pid": 11,
  10993. "tid": 0,
  10994. "ts": 1539815916993929,
  10995. "dur": 32,
  10996. "args": {
  10997. "name": "training/TFOptimizer/gradients/conv2d_2/BiasAdd_grad/BiasAddGrad",
  10998. "op": "BiasAddGrad"
  10999. }
  11000. },
  11001. {
  11002. "ph": "X",
  11003. "cat": "Op",
  11004. "name": "BiasAddGrad",
  11005. "pid": 11,
  11006. "tid": 0,
  11007. "ts": 1539815916993965,
  11008. "dur": 5,
  11009. "args": {
  11010. "name": "training/TFOptimizer/gradients/conv2d_2/BiasAdd_grad/BiasAddGrad",
  11011. "op": "BiasAddGrad"
  11012. }
  11013. },
  11014. {
  11015. "ph": "X",
  11016. "cat": "Op",
  11017. "name": "BiasAddGrad",
  11018. "pid": 11,
  11019. "tid": 0,
  11020. "ts": 1539815916993973,
  11021. "dur": 6,
  11022. "args": {
  11023. "name": "training/TFOptimizer/gradients/conv2d_2/BiasAdd_grad/BiasAddGrad",
  11024. "op": "BiasAddGrad"
  11025. }
  11026. },
  11027. {
  11028. "ph": "X",
  11029. "cat": "Op",
  11030. "name": "Conv2DBackpropFilter",
  11031. "pid": 11,
  11032. "tid": 0,
  11033. "ts": 1539815916994138,
  11034. "dur": 4392,
  11035. "args": {
  11036. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  11037. "op": "Conv2DBackpropFilter"
  11038. }
  11039. },
  11040. {
  11041. "ph": "X",
  11042. "cat": "Op",
  11043. "name": "Conv2DBackpropFilter",
  11044. "pid": 11,
  11045. "tid": 0,
  11046. "ts": 1539815916998604,
  11047. "dur": 4417,
  11048. "args": {
  11049. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  11050. "op": "Conv2DBackpropFilter"
  11051. }
  11052. },
  11053. {
  11054. "ph": "X",
  11055. "cat": "Op",
  11056. "name": "Conv2DBackpropFilter",
  11057. "pid": 11,
  11058. "tid": 0,
  11059. "ts": 1539815917003094,
  11060. "dur": 4,
  11061. "args": {
  11062. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  11063. "op": "Conv2DBackpropFilter"
  11064. }
  11065. },
  11066. {
  11067. "ph": "X",
  11068. "cat": "Op",
  11069. "name": "Conv2DBackpropFilter",
  11070. "pid": 11,
  11071. "tid": 0,
  11072. "ts": 1539815917003107,
  11073. "dur": 9,
  11074. "args": {
  11075. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  11076. "op": "Conv2DBackpropFilter"
  11077. }
  11078. },
  11079. {
  11080. "ph": "X",
  11081. "cat": "Op",
  11082. "name": "Conv2DBackpropFilter",
  11083. "pid": 11,
  11084. "tid": 0,
  11085. "ts": 1539815917003121,
  11086. "dur": 4,
  11087. "args": {
  11088. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  11089. "op": "Conv2DBackpropFilter"
  11090. }
  11091. },
  11092. {
  11093. "ph": "X",
  11094. "cat": "Op",
  11095. "name": "Conv2DBackpropFilter",
  11096. "pid": 11,
  11097. "tid": 0,
  11098. "ts": 1539815917003133,
  11099. "dur": 1682,
  11100. "args": {
  11101. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  11102. "op": "Conv2DBackpropFilter"
  11103. }
  11104. },
  11105. {
  11106. "ph": "X",
  11107. "cat": "Op",
  11108. "name": "Conv2DBackpropFilter",
  11109. "pid": 11,
  11110. "tid": 0,
  11111. "ts": 1539815917004877,
  11112. "dur": 4,
  11113. "args": {
  11114. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  11115. "op": "Conv2DBackpropFilter"
  11116. }
  11117. },
  11118. {
  11119. "ph": "X",
  11120. "cat": "Op",
  11121. "name": "Conv2DBackpropFilter",
  11122. "pid": 11,
  11123. "tid": 0,
  11124. "ts": 1539815917004895,
  11125. "dur": 8,
  11126. "args": {
  11127. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  11128. "op": "Conv2DBackpropFilter"
  11129. }
  11130. },
  11131. {
  11132. "ph": "X",
  11133. "cat": "Op",
  11134. "name": "Conv2DBackpropFilter",
  11135. "pid": 11,
  11136. "tid": 0,
  11137. "ts": 1539815917004910,
  11138. "dur": 4,
  11139. "args": {
  11140. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  11141. "op": "Conv2DBackpropFilter"
  11142. }
  11143. },
  11144. {
  11145. "ph": "X",
  11146. "cat": "Op",
  11147. "name": "Conv2DBackpropFilter",
  11148. "pid": 11,
  11149. "tid": 0,
  11150. "ts": 1539815917004919,
  11151. "dur": 1682,
  11152. "args": {
  11153. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  11154. "op": "Conv2DBackpropFilter"
  11155. }
  11156. },
  11157. {
  11158. "ph": "X",
  11159. "cat": "Op",
  11160. "name": "Conv2DBackpropFilter",
  11161. "pid": 11,
  11162. "tid": 0,
  11163. "ts": 1539815917006653,
  11164. "dur": 110,
  11165. "args": {
  11166. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  11167. "op": "Conv2DBackpropFilter"
  11168. }
  11169. },
  11170. {
  11171. "ph": "X",
  11172. "cat": "Op",
  11173. "name": "Conv2DBackpropFilter",
  11174. "pid": 11,
  11175. "tid": 0,
  11176. "ts": 1539815917006847,
  11177. "dur": 140,
  11178. "args": {
  11179. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  11180. "op": "Conv2DBackpropFilter"
  11181. }
  11182. },
  11183. {
  11184. "ph": "X",
  11185. "cat": "Op",
  11186. "name": "Conv2DBackpropFilter",
  11187. "pid": 11,
  11188. "tid": 0,
  11189. "ts": 1539815917006991,
  11190. "dur": 4,
  11191. "args": {
  11192. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  11193. "op": "Conv2DBackpropFilter"
  11194. }
  11195. },
  11196. {
  11197. "ph": "X",
  11198. "cat": "Op",
  11199. "name": "Conv2DBackpropFilter",
  11200. "pid": 11,
  11201. "tid": 0,
  11202. "ts": 1539815917006999,
  11203. "dur": 794,
  11204. "args": {
  11205. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  11206. "op": "Conv2DBackpropFilter"
  11207. }
  11208. },
  11209. {
  11210. "ph": "X",
  11211. "cat": "Op",
  11212. "name": "Conv2DBackpropFilter",
  11213. "pid": 11,
  11214. "tid": 0,
  11215. "ts": 1539815917007796,
  11216. "dur": 75,
  11217. "args": {
  11218. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  11219. "op": "Conv2DBackpropFilter"
  11220. }
  11221. },
  11222. {
  11223. "ph": "X",
  11224. "cat": "Op",
  11225. "name": "Conv2DBackpropFilter",
  11226. "pid": 11,
  11227. "tid": 0,
  11228. "ts": 1539815917007925,
  11229. "dur": 110,
  11230. "args": {
  11231. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  11232. "op": "Conv2DBackpropFilter"
  11233. }
  11234. },
  11235. {
  11236. "ph": "X",
  11237. "cat": "Op",
  11238. "name": "Conv2DBackpropFilter",
  11239. "pid": 11,
  11240. "tid": 0,
  11241. "ts": 1539815917008121,
  11242. "dur": 137,
  11243. "args": {
  11244. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  11245. "op": "Conv2DBackpropFilter"
  11246. }
  11247. },
  11248. {
  11249. "ph": "X",
  11250. "cat": "Op",
  11251. "name": "Conv2DBackpropFilter",
  11252. "pid": 11,
  11253. "tid": 0,
  11254. "ts": 1539815917008262,
  11255. "dur": 4,
  11256. "args": {
  11257. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  11258. "op": "Conv2DBackpropFilter"
  11259. }
  11260. },
  11261. {
  11262. "ph": "X",
  11263. "cat": "Op",
  11264. "name": "Conv2DBackpropFilter",
  11265. "pid": 11,
  11266. "tid": 0,
  11267. "ts": 1539815917008270,
  11268. "dur": 800,
  11269. "args": {
  11270. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  11271. "op": "Conv2DBackpropFilter"
  11272. }
  11273. },
  11274. {
  11275. "ph": "X",
  11276. "cat": "Op",
  11277. "name": "Conv2DBackpropFilter",
  11278. "pid": 11,
  11279. "tid": 0,
  11280. "ts": 1539815917009075,
  11281. "dur": 75,
  11282. "args": {
  11283. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  11284. "op": "Conv2DBackpropFilter"
  11285. }
  11286. },
  11287. {
  11288. "ph": "X",
  11289. "cat": "Op",
  11290. "name": "Conv2DBackpropFilter",
  11291. "pid": 11,
  11292. "tid": 0,
  11293. "ts": 1539815917009211,
  11294. "dur": 4,
  11295. "args": {
  11296. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  11297. "op": "Conv2DBackpropFilter"
  11298. }
  11299. },
  11300. {
  11301. "ph": "X",
  11302. "cat": "Op",
  11303. "name": "Conv2DBackpropFilter",
  11304. "pid": 11,
  11305. "tid": 0,
  11306. "ts": 1539815917009223,
  11307. "dur": 8,
  11308. "args": {
  11309. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  11310. "op": "Conv2DBackpropFilter"
  11311. }
  11312. },
  11313. {
  11314. "ph": "X",
  11315. "cat": "Op",
  11316. "name": "Conv2DBackpropFilter",
  11317. "pid": 11,
  11318. "tid": 0,
  11319. "ts": 1539815917009236,
  11320. "dur": 3,
  11321. "args": {
  11322. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  11323. "op": "Conv2DBackpropFilter"
  11324. }
  11325. },
  11326. {
  11327. "ph": "X",
  11328. "cat": "Op",
  11329. "name": "Conv2DBackpropFilter",
  11330. "pid": 11,
  11331. "tid": 0,
  11332. "ts": 1539815917009251,
  11333. "dur": 1678,
  11334. "args": {
  11335. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  11336. "op": "Conv2DBackpropFilter"
  11337. }
  11338. },
  11339. {
  11340. "ph": "X",
  11341. "cat": "Op",
  11342. "name": "Conv2DBackpropFilter",
  11343. "pid": 11,
  11344. "tid": 0,
  11345. "ts": 1539815917010995,
  11346. "dur": 4,
  11347. "args": {
  11348. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  11349. "op": "Conv2DBackpropFilter"
  11350. }
  11351. },
  11352. {
  11353. "ph": "X",
  11354. "cat": "Op",
  11355. "name": "Conv2DBackpropFilter",
  11356. "pid": 11,
  11357. "tid": 0,
  11358. "ts": 1539815917011006,
  11359. "dur": 9,
  11360. "args": {
  11361. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  11362. "op": "Conv2DBackpropFilter"
  11363. }
  11364. },
  11365. {
  11366. "ph": "X",
  11367. "cat": "Op",
  11368. "name": "Conv2DBackpropFilter",
  11369. "pid": 11,
  11370. "tid": 0,
  11371. "ts": 1539815917011031,
  11372. "dur": 4,
  11373. "args": {
  11374. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  11375. "op": "Conv2DBackpropFilter"
  11376. }
  11377. },
  11378. {
  11379. "ph": "X",
  11380. "cat": "Op",
  11381. "name": "Conv2DBackpropFilter",
  11382. "pid": 11,
  11383. "tid": 0,
  11384. "ts": 1539815917011123,
  11385. "dur": 1680,
  11386. "args": {
  11387. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  11388. "op": "Conv2DBackpropFilter"
  11389. }
  11390. },
  11391. {
  11392. "ph": "X",
  11393. "cat": "Op",
  11394. "name": "Conv2DBackpropFilter",
  11395. "pid": 11,
  11396. "tid": 0,
  11397. "ts": 1539815917012855,
  11398. "dur": 281,
  11399. "args": {
  11400. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  11401. "op": "Conv2DBackpropFilter"
  11402. }
  11403. },
  11404. {
  11405. "ph": "X",
  11406. "cat": "Op",
  11407. "name": "Conv2DBackpropFilter",
  11408. "pid": 11,
  11409. "tid": 0,
  11410. "ts": 1539815917013141,
  11411. "dur": 144,
  11412. "args": {
  11413. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  11414. "op": "Conv2DBackpropFilter"
  11415. }
  11416. },
  11417. {
  11418. "ph": "X",
  11419. "cat": "Op",
  11420. "name": "Conv2DBackpropFilter",
  11421. "pid": 11,
  11422. "tid": 0,
  11423. "ts": 1539815917013288,
  11424. "dur": 245,
  11425. "args": {
  11426. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  11427. "op": "Conv2DBackpropFilter"
  11428. }
  11429. },
  11430. {
  11431. "ph": "X",
  11432. "cat": "Op",
  11433. "name": "Conv2DBackpropFilter",
  11434. "pid": 11,
  11435. "tid": 0,
  11436. "ts": 1539815917013537,
  11437. "dur": 72,
  11438. "args": {
  11439. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  11440. "op": "Conv2DBackpropFilter"
  11441. }
  11442. },
  11443. {
  11444. "ph": "X",
  11445. "cat": "Op",
  11446. "name": "Conv2DBackpropFilter",
  11447. "pid": 11,
  11448. "tid": 0,
  11449. "ts": 1539815917013658,
  11450. "dur": 282,
  11451. "args": {
  11452. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  11453. "op": "Conv2DBackpropFilter"
  11454. }
  11455. },
  11456. {
  11457. "ph": "X",
  11458. "cat": "Op",
  11459. "name": "Conv2DBackpropFilter",
  11460. "pid": 11,
  11461. "tid": 0,
  11462. "ts": 1539815917013943,
  11463. "dur": 144,
  11464. "args": {
  11465. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  11466. "op": "Conv2DBackpropFilter"
  11467. }
  11468. },
  11469. {
  11470. "ph": "X",
  11471. "cat": "Op",
  11472. "name": "Conv2DBackpropFilter",
  11473. "pid": 11,
  11474. "tid": 0,
  11475. "ts": 1539815917014091,
  11476. "dur": 269,
  11477. "args": {
  11478. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  11479. "op": "Conv2DBackpropFilter"
  11480. }
  11481. },
  11482. {
  11483. "ph": "X",
  11484. "cat": "Op",
  11485. "name": "Conv2DBackpropFilter",
  11486. "pid": 11,
  11487. "tid": 0,
  11488. "ts": 1539815917014363,
  11489. "dur": 73,
  11490. "args": {
  11491. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  11492. "op": "Conv2DBackpropFilter"
  11493. }
  11494. },
  11495. {
  11496. "ph": "X",
  11497. "cat": "Op",
  11498. "name": "Conv2DBackpropFilter",
  11499. "pid": 11,
  11500. "tid": 0,
  11501. "ts": 1539815917014480,
  11502. "dur": 282,
  11503. "args": {
  11504. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  11505. "op": "Conv2DBackpropFilter"
  11506. }
  11507. },
  11508. {
  11509. "ph": "X",
  11510. "cat": "Op",
  11511. "name": "Conv2DBackpropFilter",
  11512. "pid": 11,
  11513. "tid": 0,
  11514. "ts": 1539815917014770,
  11515. "dur": 143,
  11516. "args": {
  11517. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  11518. "op": "Conv2DBackpropFilter"
  11519. }
  11520. },
  11521. {
  11522. "ph": "X",
  11523. "cat": "Op",
  11524. "name": "Conv2DBackpropFilter",
  11525. "pid": 11,
  11526. "tid": 0,
  11527. "ts": 1539815917014916,
  11528. "dur": 246,
  11529. "args": {
  11530. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  11531. "op": "Conv2DBackpropFilter"
  11532. }
  11533. },
  11534. {
  11535. "ph": "X",
  11536. "cat": "Op",
  11537. "name": "Conv2DBackpropFilter",
  11538. "pid": 11,
  11539. "tid": 0,
  11540. "ts": 1539815917015166,
  11541. "dur": 74,
  11542. "args": {
  11543. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  11544. "op": "Conv2DBackpropFilter"
  11545. }
  11546. },
  11547. {
  11548. "ph": "X",
  11549. "cat": "Op",
  11550. "name": "Conv2DBackpropFilter",
  11551. "pid": 11,
  11552. "tid": 0,
  11553. "ts": 1539815917015245,
  11554. "dur": 22,
  11555. "args": {
  11556. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  11557. "op": "Conv2DBackpropFilter"
  11558. }
  11559. },
  11560. {
  11561. "ph": "X",
  11562. "cat": "Op",
  11563. "name": "Conv2DBackpropInput",
  11564. "pid": 11,
  11565. "tid": 0,
  11566. "ts": 1539815917015270,
  11567. "dur": 22,
  11568. "args": {
  11569. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  11570. "op": "Conv2DBackpropInput"
  11571. }
  11572. },
  11573. {
  11574. "ph": "X",
  11575. "cat": "Op",
  11576. "name": "Conv2DBackpropInput",
  11577. "pid": 11,
  11578. "tid": 0,
  11579. "ts": 1539815917015299,
  11580. "dur": 14,
  11581. "args": {
  11582. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  11583. "op": "Conv2DBackpropInput"
  11584. }
  11585. },
  11586. {
  11587. "ph": "X",
  11588. "cat": "Op",
  11589. "name": "Conv2DBackpropInput",
  11590. "pid": 11,
  11591. "tid": 0,
  11592. "ts": 1539815917015317,
  11593. "dur": 2378,
  11594. "args": {
  11595. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  11596. "op": "Conv2DBackpropInput"
  11597. }
  11598. },
  11599. {
  11600. "ph": "X",
  11601. "cat": "Op",
  11602. "name": "Conv2DBackpropInput",
  11603. "pid": 11,
  11604. "tid": 0,
  11605. "ts": 1539815917017737,
  11606. "dur": 14,
  11607. "args": {
  11608. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  11609. "op": "Conv2DBackpropInput"
  11610. }
  11611. },
  11612. {
  11613. "ph": "X",
  11614. "cat": "Op",
  11615. "name": "Conv2DBackpropInput",
  11616. "pid": 11,
  11617. "tid": 0,
  11618. "ts": 1539815917017760,
  11619. "dur": 2378,
  11620. "args": {
  11621. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  11622. "op": "Conv2DBackpropInput"
  11623. }
  11624. },
  11625. {
  11626. "ph": "X",
  11627. "cat": "Op",
  11628. "name": "Conv2DBackpropInput",
  11629. "pid": 11,
  11630. "tid": 0,
  11631. "ts": 1539815917020198,
  11632. "dur": 4,
  11633. "args": {
  11634. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  11635. "op": "Conv2DBackpropInput"
  11636. }
  11637. },
  11638. {
  11639. "ph": "X",
  11640. "cat": "Op",
  11641. "name": "Conv2DBackpropInput",
  11642. "pid": 11,
  11643. "tid": 0,
  11644. "ts": 1539815917020210,
  11645. "dur": 4,
  11646. "args": {
  11647. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  11648. "op": "Conv2DBackpropInput"
  11649. }
  11650. },
  11651. {
  11652. "ph": "X",
  11653. "cat": "Op",
  11654. "name": "Conv2DBackpropInput",
  11655. "pid": 11,
  11656. "tid": 0,
  11657. "ts": 1539815917020234,
  11658. "dur": 2533,
  11659. "args": {
  11660. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  11661. "op": "Conv2DBackpropInput"
  11662. }
  11663. },
  11664. {
  11665. "ph": "X",
  11666. "cat": "Op",
  11667. "name": "Conv2DBackpropInput",
  11668. "pid": 11,
  11669. "tid": 0,
  11670. "ts": 1539815917022839,
  11671. "dur": 4,
  11672. "args": {
  11673. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  11674. "op": "Conv2DBackpropInput"
  11675. }
  11676. },
  11677. {
  11678. "ph": "X",
  11679. "cat": "Op",
  11680. "name": "Conv2DBackpropInput",
  11681. "pid": 11,
  11682. "tid": 0,
  11683. "ts": 1539815917022849,
  11684. "dur": 4,
  11685. "args": {
  11686. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  11687. "op": "Conv2DBackpropInput"
  11688. }
  11689. },
  11690. {
  11691. "ph": "X",
  11692. "cat": "Op",
  11693. "name": "Conv2DBackpropInput",
  11694. "pid": 11,
  11695. "tid": 0,
  11696. "ts": 1539815917022862,
  11697. "dur": 2533,
  11698. "args": {
  11699. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  11700. "op": "Conv2DBackpropInput"
  11701. }
  11702. },
  11703. {
  11704. "ph": "X",
  11705. "cat": "Op",
  11706. "name": "Conv2DBackpropInput",
  11707. "pid": 11,
  11708. "tid": 0,
  11709. "ts": 1539815917025445,
  11710. "dur": 70,
  11711. "args": {
  11712. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  11713. "op": "Conv2DBackpropInput"
  11714. }
  11715. },
  11716. {
  11717. "ph": "X",
  11718. "cat": "Op",
  11719. "name": "Conv2DBackpropInput",
  11720. "pid": 11,
  11721. "tid": 0,
  11722. "ts": 1539815917025652,
  11723. "dur": 4,
  11724. "args": {
  11725. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  11726. "op": "Conv2DBackpropInput"
  11727. }
  11728. },
  11729. {
  11730. "ph": "X",
  11731. "cat": "Op",
  11732. "name": "Conv2DBackpropInput",
  11733. "pid": 11,
  11734. "tid": 0,
  11735. "ts": 1539815917025659,
  11736. "dur": 796,
  11737. "args": {
  11738. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  11739. "op": "Conv2DBackpropInput"
  11740. }
  11741. },
  11742. {
  11743. "ph": "X",
  11744. "cat": "Op",
  11745. "name": "Conv2DBackpropInput",
  11746. "pid": 11,
  11747. "tid": 0,
  11748. "ts": 1539815917026460,
  11749. "dur": 79,
  11750. "args": {
  11751. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  11752. "op": "Conv2DBackpropInput"
  11753. }
  11754. },
  11755. {
  11756. "ph": "X",
  11757. "cat": "Op",
  11758. "name": "Conv2DBackpropInput",
  11759. "pid": 11,
  11760. "tid": 0,
  11761. "ts": 1539815917026589,
  11762. "dur": 72,
  11763. "args": {
  11764. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  11765. "op": "Conv2DBackpropInput"
  11766. }
  11767. },
  11768. {
  11769. "ph": "X",
  11770. "cat": "Op",
  11771. "name": "Conv2DBackpropInput",
  11772. "pid": 11,
  11773. "tid": 0,
  11774. "ts": 1539815917026797,
  11775. "dur": 3,
  11776. "args": {
  11777. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  11778. "op": "Conv2DBackpropInput"
  11779. }
  11780. },
  11781. {
  11782. "ph": "X",
  11783. "cat": "Op",
  11784. "name": "Conv2DBackpropInput",
  11785. "pid": 11,
  11786. "tid": 0,
  11787. "ts": 1539815917026804,
  11788. "dur": 806,
  11789. "args": {
  11790. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  11791. "op": "Conv2DBackpropInput"
  11792. }
  11793. },
  11794. {
  11795. "ph": "X",
  11796. "cat": "Op",
  11797. "name": "Conv2DBackpropInput",
  11798. "pid": 11,
  11799. "tid": 0,
  11800. "ts": 1539815917027615,
  11801. "dur": 78,
  11802. "args": {
  11803. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  11804. "op": "Conv2DBackpropInput"
  11805. }
  11806. },
  11807. {
  11808. "ph": "X",
  11809. "cat": "Op",
  11810. "name": "Conv2DBackpropInput",
  11811. "pid": 11,
  11812. "tid": 0,
  11813. "ts": 1539815917027752,
  11814. "dur": 214,
  11815. "args": {
  11816. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  11817. "op": "Conv2DBackpropInput"
  11818. }
  11819. },
  11820. {
  11821. "ph": "X",
  11822. "cat": "Op",
  11823. "name": "Conv2DBackpropInput",
  11824. "pid": 11,
  11825. "tid": 0,
  11826. "ts": 1539815917031028,
  11827. "dur": 211,
  11828. "args": {
  11829. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  11830. "op": "Conv2DBackpropInput"
  11831. }
  11832. },
  11833. {
  11834. "ph": "X",
  11835. "cat": "Op",
  11836. "name": "Conv2DBackpropInput",
  11837. "pid": 11,
  11838. "tid": 0,
  11839. "ts": 1539815917034312,
  11840. "dur": 556,
  11841. "args": {
  11842. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  11843. "op": "Conv2DBackpropInput"
  11844. }
  11845. },
  11846. {
  11847. "ph": "X",
  11848. "cat": "Op",
  11849. "name": "Conv2DBackpropInput",
  11850. "pid": 11,
  11851. "tid": 0,
  11852. "ts": 1539815917034871,
  11853. "dur": 50,
  11854. "args": {
  11855. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  11856. "op": "Conv2DBackpropInput"
  11857. }
  11858. },
  11859. {
  11860. "ph": "X",
  11861. "cat": "Op",
  11862. "name": "Conv2DBackpropInput",
  11863. "pid": 11,
  11864. "tid": 0,
  11865. "ts": 1539815917034925,
  11866. "dur": 245,
  11867. "args": {
  11868. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  11869. "op": "Conv2DBackpropInput"
  11870. }
  11871. },
  11872. {
  11873. "ph": "X",
  11874. "cat": "Op",
  11875. "name": "Conv2DBackpropInput",
  11876. "pid": 11,
  11877. "tid": 0,
  11878. "ts": 1539815917035174,
  11879. "dur": 224,
  11880. "args": {
  11881. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  11882. "op": "Conv2DBackpropInput"
  11883. }
  11884. },
  11885. {
  11886. "ph": "X",
  11887. "cat": "Op",
  11888. "name": "Conv2DBackpropInput",
  11889. "pid": 11,
  11890. "tid": 0,
  11891. "ts": 1539815917035446,
  11892. "dur": 555,
  11893. "args": {
  11894. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  11895. "op": "Conv2DBackpropInput"
  11896. }
  11897. },
  11898. {
  11899. "ph": "X",
  11900. "cat": "Op",
  11901. "name": "Conv2DBackpropInput",
  11902. "pid": 11,
  11903. "tid": 0,
  11904. "ts": 1539815917036004,
  11905. "dur": 52,
  11906. "args": {
  11907. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  11908. "op": "Conv2DBackpropInput"
  11909. }
  11910. },
  11911. {
  11912. "ph": "X",
  11913. "cat": "Op",
  11914. "name": "Conv2DBackpropInput",
  11915. "pid": 11,
  11916. "tid": 0,
  11917. "ts": 1539815917036061,
  11918. "dur": 243,
  11919. "args": {
  11920. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  11921. "op": "Conv2DBackpropInput"
  11922. }
  11923. },
  11924. {
  11925. "ph": "X",
  11926. "cat": "Op",
  11927. "name": "Conv2DBackpropInput",
  11928. "pid": 11,
  11929. "tid": 0,
  11930. "ts": 1539815917036308,
  11931. "dur": 223,
  11932. "args": {
  11933. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  11934. "op": "Conv2DBackpropInput"
  11935. }
  11936. },
  11937. {
  11938. "ph": "X",
  11939. "cat": "Op",
  11940. "name": "Conv2DBackpropInput",
  11941. "pid": 11,
  11942. "tid": 0,
  11943. "ts": 1539815917036576,
  11944. "dur": 556,
  11945. "args": {
  11946. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  11947. "op": "Conv2DBackpropInput"
  11948. }
  11949. },
  11950. {
  11951. "ph": "X",
  11952. "cat": "Op",
  11953. "name": "Conv2DBackpropInput",
  11954. "pid": 11,
  11955. "tid": 0,
  11956. "ts": 1539815917037135,
  11957. "dur": 51,
  11958. "args": {
  11959. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  11960. "op": "Conv2DBackpropInput"
  11961. }
  11962. },
  11963. {
  11964. "ph": "X",
  11965. "cat": "Op",
  11966. "name": "Conv2DBackpropInput",
  11967. "pid": 11,
  11968. "tid": 0,
  11969. "ts": 1539815917037190,
  11970. "dur": 268,
  11971. "args": {
  11972. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  11973. "op": "Conv2DBackpropInput"
  11974. }
  11975. },
  11976. {
  11977. "ph": "X",
  11978. "cat": "Op",
  11979. "name": "Conv2DBackpropInput",
  11980. "pid": 11,
  11981. "tid": 0,
  11982. "ts": 1539815917037462,
  11983. "dur": 223,
  11984. "args": {
  11985. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  11986. "op": "Conv2DBackpropInput"
  11987. }
  11988. },
  11989. {
  11990. "ph": "X",
  11991. "cat": "Op",
  11992. "name": "FusedBatchNormGrad",
  11993. "pid": 11,
  11994. "tid": 0,
  11995. "ts": 1539815917037689,
  11996. "dur": 3,
  11997. "args": {
  11998. "name": "training/TFOptimizer/gradients/batch_normalization_2/FusedBatchNorm_grad/FusedBatchNormGrad",
  11999. "op": "FusedBatchNormGrad"
  12000. }
  12001. },
  12002. {
  12003. "ph": "X",
  12004. "cat": "Op",
  12005. "name": "FusedBatchNormGrad",
  12006. "pid": 11,
  12007. "tid": 0,
  12008. "ts": 1539815917037695,
  12009. "dur": 3,
  12010. "args": {
  12011. "name": "training/TFOptimizer/gradients/batch_normalization_2/FusedBatchNorm_grad/FusedBatchNormGrad",
  12012. "op": "FusedBatchNormGrad"
  12013. }
  12014. },
  12015. {
  12016. "ph": "X",
  12017. "cat": "Op",
  12018. "name": "FusedBatchNormGrad",
  12019. "pid": 11,
  12020. "tid": 0,
  12021. "ts": 1539815917037702,
  12022. "dur": 59,
  12023. "args": {
  12024. "name": "training/TFOptimizer/gradients/batch_normalization_2/FusedBatchNorm_grad/FusedBatchNormGrad",
  12025. "op": "FusedBatchNormGrad"
  12026. }
  12027. },
  12028. {
  12029. "ph": "X",
  12030. "cat": "Op",
  12031. "name": "Mul",
  12032. "pid": 11,
  12033. "tid": 0,
  12034. "ts": 1539815917037765,
  12035. "dur": 26,
  12036. "args": {
  12037. "name": "training/TFOptimizer/gradients/dropout_1/dropout/mul_grad/Mul",
  12038. "op": "Mul"
  12039. }
  12040. },
  12041. {
  12042. "ph": "X",
  12043. "cat": "Op",
  12044. "name": "Mul",
  12045. "pid": 11,
  12046. "tid": 0,
  12047. "ts": 1539815917037794,
  12048. "dur": 16,
  12049. "args": {
  12050. "name": "training/TFOptimizer/gradients/dropout_1/dropout/div_grad/RealDiv",
  12051. "op": "Mul"
  12052. }
  12053. },
  12054. {
  12055. "ph": "X",
  12056. "cat": "Op",
  12057. "name": "Transpose",
  12058. "pid": 11,
  12059. "tid": 0,
  12060. "ts": 1539815917037814,
  12061. "dur": 20,
  12062. "args": {
  12063. "name": "training/TFOptimizer/gradients/dropout_1/dropout/div_grad/RealDiv-0-0-TransposeNCHWToNHWC-LayoutOptimizer",
  12064. "op": "Transpose"
  12065. }
  12066. },
  12067. {
  12068. "ph": "X",
  12069. "cat": "Op",
  12070. "name": "Transpose",
  12071. "pid": 11,
  12072. "tid": 0,
  12073. "ts": 1539815917037838,
  12074. "dur": 22,
  12075. "args": {
  12076. "name": "training/TFOptimizer/gradients/max_pooling2d_1/MaxPool_grad/MaxPoolGrad-2-TransposeNHWCToNCHW-LayoutOptimizer",
  12077. "op": "Transpose"
  12078. }
  12079. },
  12080. {
  12081. "ph": "X",
  12082. "cat": "Op",
  12083. "name": "MaxPoolGrad",
  12084. "pid": 11,
  12085. "tid": 0,
  12086. "ts": 1539815917037864,
  12087. "dur": 130,
  12088. "args": {
  12089. "name": "training/TFOptimizer/gradients/max_pooling2d_1/MaxPool_grad/MaxPoolGrad",
  12090. "op": "MaxPoolGrad"
  12091. }
  12092. },
  12093. {
  12094. "ph": "X",
  12095. "cat": "Op",
  12096. "name": "EluGrad",
  12097. "pid": 11,
  12098. "tid": 0,
  12099. "ts": 1539815917037998,
  12100. "dur": 103,
  12101. "args": {
  12102. "name": "training/TFOptimizer/gradients/conv2d_1/Elu_grad/EluGrad",
  12103. "op": "EluGrad"
  12104. }
  12105. },
  12106. {
  12107. "ph": "X",
  12108. "cat": "Op",
  12109. "name": "BiasAddGrad",
  12110. "pid": 11,
  12111. "tid": 0,
  12112. "ts": 1539815917038112,
  12113. "dur": 60,
  12114. "args": {
  12115. "name": "training/TFOptimizer/gradients/conv2d_1/BiasAdd_grad/BiasAddGrad",
  12116. "op": "BiasAddGrad"
  12117. }
  12118. },
  12119. {
  12120. "ph": "X",
  12121. "cat": "Op",
  12122. "name": "BiasAddGrad",
  12123. "pid": 11,
  12124. "tid": 0,
  12125. "ts": 1539815917038204,
  12126. "dur": 34,
  12127. "args": {
  12128. "name": "training/TFOptimizer/gradients/conv2d_1/BiasAdd_grad/BiasAddGrad",
  12129. "op": "BiasAddGrad"
  12130. }
  12131. },
  12132. {
  12133. "ph": "X",
  12134. "cat": "Op",
  12135. "name": "BiasAddGrad",
  12136. "pid": 11,
  12137. "tid": 0,
  12138. "ts": 1539815917038242,
  12139. "dur": 5,
  12140. "args": {
  12141. "name": "training/TFOptimizer/gradients/conv2d_1/BiasAdd_grad/BiasAddGrad",
  12142. "op": "BiasAddGrad"
  12143. }
  12144. },
  12145. {
  12146. "ph": "X",
  12147. "cat": "Op",
  12148. "name": "BiasAddGrad",
  12149. "pid": 11,
  12150. "tid": 0,
  12151. "ts": 1539815917038250,
  12152. "dur": 5,
  12153. "args": {
  12154. "name": "training/TFOptimizer/gradients/conv2d_1/BiasAdd_grad/BiasAddGrad",
  12155. "op": "BiasAddGrad"
  12156. }
  12157. },
  12158. {
  12159. "ph": "X",
  12160. "cat": "Op",
  12161. "name": "Conv2DBackpropFilter",
  12162. "pid": 11,
  12163. "tid": 0,
  12164. "ts": 1539815917038372,
  12165. "dur": 2240,
  12166. "args": {
  12167. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  12168. "op": "Conv2DBackpropFilter"
  12169. }
  12170. },
  12171. {
  12172. "ph": "X",
  12173. "cat": "Op",
  12174. "name": "Conv2DBackpropFilter",
  12175. "pid": 11,
  12176. "tid": 0,
  12177. "ts": 1539815917040675,
  12178. "dur": 2249,
  12179. "args": {
  12180. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  12181. "op": "Conv2DBackpropFilter"
  12182. }
  12183. },
  12184. {
  12185. "ph": "X",
  12186. "cat": "Op",
  12187. "name": "Conv2DBackpropFilter",
  12188. "pid": 11,
  12189. "tid": 0,
  12190. "ts": 1539815917042996,
  12191. "dur": 4,
  12192. "args": {
  12193. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  12194. "op": "Conv2DBackpropFilter"
  12195. }
  12196. },
  12197. {
  12198. "ph": "X",
  12199. "cat": "Op",
  12200. "name": "Conv2DBackpropFilter",
  12201. "pid": 11,
  12202. "tid": 0,
  12203. "ts": 1539815917043009,
  12204. "dur": 4,
  12205. "args": {
  12206. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  12207. "op": "Conv2DBackpropFilter"
  12208. }
  12209. },
  12210. {
  12211. "ph": "X",
  12212. "cat": "Op",
  12213. "name": "Conv2DBackpropFilter",
  12214. "pid": 11,
  12215. "tid": 0,
  12216. "ts": 1539815917043019,
  12217. "dur": 3,
  12218. "args": {
  12219. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  12220. "op": "Conv2DBackpropFilter"
  12221. }
  12222. },
  12223. {
  12224. "ph": "X",
  12225. "cat": "Op",
  12226. "name": "Conv2DBackpropFilter",
  12227. "pid": 11,
  12228. "tid": 0,
  12229. "ts": 1539815917043029,
  12230. "dur": 1871,
  12231. "args": {
  12232. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  12233. "op": "Conv2DBackpropFilter"
  12234. }
  12235. },
  12236. {
  12237. "ph": "X",
  12238. "cat": "Op",
  12239. "name": "Conv2DBackpropFilter",
  12240. "pid": 11,
  12241. "tid": 0,
  12242. "ts": 1539815917044961,
  12243. "dur": 4,
  12244. "args": {
  12245. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  12246. "op": "Conv2DBackpropFilter"
  12247. }
  12248. },
  12249. {
  12250. "ph": "X",
  12251. "cat": "Op",
  12252. "name": "Conv2DBackpropFilter",
  12253. "pid": 11,
  12254. "tid": 0,
  12255. "ts": 1539815917044972,
  12256. "dur": 5,
  12257. "args": {
  12258. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  12259. "op": "Conv2DBackpropFilter"
  12260. }
  12261. },
  12262. {
  12263. "ph": "X",
  12264. "cat": "Op",
  12265. "name": "Conv2DBackpropFilter",
  12266. "pid": 11,
  12267. "tid": 0,
  12268. "ts": 1539815917044982,
  12269. "dur": 4,
  12270. "args": {
  12271. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  12272. "op": "Conv2DBackpropFilter"
  12273. }
  12274. },
  12275. {
  12276. "ph": "X",
  12277. "cat": "Op",
  12278. "name": "Conv2DBackpropFilter",
  12279. "pid": 11,
  12280. "tid": 0,
  12281. "ts": 1539815917044991,
  12282. "dur": 1873,
  12283. "args": {
  12284. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  12285. "op": "Conv2DBackpropFilter"
  12286. }
  12287. },
  12288. {
  12289. "ph": "X",
  12290. "cat": "Op",
  12291. "name": "Conv2DBackpropFilter",
  12292. "pid": 11,
  12293. "tid": 0,
  12294. "ts": 1539815917046916,
  12295. "dur": 120,
  12296. "args": {
  12297. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  12298. "op": "Conv2DBackpropFilter"
  12299. }
  12300. },
  12301. {
  12302. "ph": "X",
  12303. "cat": "Op",
  12304. "name": "Conv2DBackpropFilter",
  12305. "pid": 11,
  12306. "tid": 0,
  12307. "ts": 1539815917047212,
  12308. "dur": 307,
  12309. "args": {
  12310. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  12311. "op": "Conv2DBackpropFilter"
  12312. }
  12313. },
  12314. {
  12315. "ph": "X",
  12316. "cat": "Op",
  12317. "name": "Conv2DBackpropFilter",
  12318. "pid": 11,
  12319. "tid": 0,
  12320. "ts": 1539815917047523,
  12321. "dur": 4,
  12322. "args": {
  12323. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  12324. "op": "Conv2DBackpropFilter"
  12325. }
  12326. },
  12327. {
  12328. "ph": "X",
  12329. "cat": "Op",
  12330. "name": "Conv2DBackpropFilter",
  12331. "pid": 11,
  12332. "tid": 0,
  12333. "ts": 1539815917047531,
  12334. "dur": 757,
  12335. "args": {
  12336. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  12337. "op": "Conv2DBackpropFilter"
  12338. }
  12339. },
  12340. {
  12341. "ph": "X",
  12342. "cat": "Op",
  12343. "name": "Conv2DBackpropFilter",
  12344. "pid": 11,
  12345. "tid": 0,
  12346. "ts": 1539815917048292,
  12347. "dur": 79,
  12348. "args": {
  12349. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  12350. "op": "Conv2DBackpropFilter"
  12351. }
  12352. },
  12353. {
  12354. "ph": "X",
  12355. "cat": "Op",
  12356. "name": "Conv2DBackpropFilter",
  12357. "pid": 11,
  12358. "tid": 0,
  12359. "ts": 1539815917048421,
  12360. "dur": 120,
  12361. "args": {
  12362. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  12363. "op": "Conv2DBackpropFilter"
  12364. }
  12365. },
  12366. {
  12367. "ph": "X",
  12368. "cat": "Op",
  12369. "name": "Conv2DBackpropFilter",
  12370. "pid": 11,
  12371. "tid": 0,
  12372. "ts": 1539815917048717,
  12373. "dur": 314,
  12374. "args": {
  12375. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  12376. "op": "Conv2DBackpropFilter"
  12377. }
  12378. },
  12379. {
  12380. "ph": "X",
  12381. "cat": "Op",
  12382. "name": "Conv2DBackpropFilter",
  12383. "pid": 11,
  12384. "tid": 0,
  12385. "ts": 1539815917049036,
  12386. "dur": 4,
  12387. "args": {
  12388. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  12389. "op": "Conv2DBackpropFilter"
  12390. }
  12391. },
  12392. {
  12393. "ph": "X",
  12394. "cat": "Op",
  12395. "name": "Conv2DBackpropFilter",
  12396. "pid": 11,
  12397. "tid": 0,
  12398. "ts": 1539815917049043,
  12399. "dur": 731,
  12400. "args": {
  12401. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  12402. "op": "Conv2DBackpropFilter"
  12403. }
  12404. },
  12405. {
  12406. "ph": "X",
  12407. "cat": "Op",
  12408. "name": "Conv2DBackpropFilter",
  12409. "pid": 11,
  12410. "tid": 0,
  12411. "ts": 1539815917049778,
  12412. "dur": 78,
  12413. "args": {
  12414. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  12415. "op": "Conv2DBackpropFilter"
  12416. }
  12417. },
  12418. {
  12419. "ph": "X",
  12420. "cat": "Op",
  12421. "name": "Conv2DBackpropFilter",
  12422. "pid": 11,
  12423. "tid": 0,
  12424. "ts": 1539815917049918,
  12425. "dur": 4,
  12426. "args": {
  12427. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  12428. "op": "Conv2DBackpropFilter"
  12429. }
  12430. },
  12431. {
  12432. "ph": "X",
  12433. "cat": "Op",
  12434. "name": "Conv2DBackpropFilter",
  12435. "pid": 11,
  12436. "tid": 0,
  12437. "ts": 1539815917049929,
  12438. "dur": 5,
  12439. "args": {
  12440. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  12441. "op": "Conv2DBackpropFilter"
  12442. }
  12443. },
  12444. {
  12445. "ph": "X",
  12446. "cat": "Op",
  12447. "name": "Conv2DBackpropFilter",
  12448. "pid": 11,
  12449. "tid": 0,
  12450. "ts": 1539815917049939,
  12451. "dur": 3,
  12452. "args": {
  12453. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  12454. "op": "Conv2DBackpropFilter"
  12455. }
  12456. },
  12457. {
  12458. "ph": "X",
  12459. "cat": "Op",
  12460. "name": "Conv2DBackpropFilter",
  12461. "pid": 11,
  12462. "tid": 0,
  12463. "ts": 1539815917049950,
  12464. "dur": 2093,
  12465. "args": {
  12466. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  12467. "op": "Conv2DBackpropFilter"
  12468. }
  12469. },
  12470. {
  12471. "ph": "X",
  12472. "cat": "Op",
  12473. "name": "Conv2DBackpropFilter",
  12474. "pid": 11,
  12475. "tid": 0,
  12476. "ts": 1539815917052104,
  12477. "dur": 4,
  12478. "args": {
  12479. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  12480. "op": "Conv2DBackpropFilter"
  12481. }
  12482. },
  12483. {
  12484. "ph": "X",
  12485. "cat": "Op",
  12486. "name": "Conv2DBackpropFilter",
  12487. "pid": 11,
  12488. "tid": 0,
  12489. "ts": 1539815917052114,
  12490. "dur": 5,
  12491. "args": {
  12492. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  12493. "op": "Conv2DBackpropFilter"
  12494. }
  12495. },
  12496. {
  12497. "ph": "X",
  12498. "cat": "Op",
  12499. "name": "Conv2DBackpropFilter",
  12500. "pid": 11,
  12501. "tid": 0,
  12502. "ts": 1539815917052124,
  12503. "dur": 3,
  12504. "args": {
  12505. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  12506. "op": "Conv2DBackpropFilter"
  12507. }
  12508. },
  12509. {
  12510. "ph": "X",
  12511. "cat": "Op",
  12512. "name": "Conv2DBackpropFilter",
  12513. "pid": 11,
  12514. "tid": 0,
  12515. "ts": 1539815917052134,
  12516. "dur": 1753,
  12517. "args": {
  12518. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  12519. "op": "Conv2DBackpropFilter"
  12520. }
  12521. },
  12522. {
  12523. "ph": "X",
  12524. "cat": "Op",
  12525. "name": "Conv2DBackpropFilter",
  12526. "pid": 11,
  12527. "tid": 0,
  12528. "ts": 1539815917053939,
  12529. "dur": 163,
  12530. "args": {
  12531. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  12532. "op": "Conv2DBackpropFilter"
  12533. }
  12534. },
  12535. {
  12536. "ph": "X",
  12537. "cat": "Op",
  12538. "name": "Conv2DBackpropFilter",
  12539. "pid": 11,
  12540. "tid": 0,
  12541. "ts": 1539815917054106,
  12542. "dur": 189,
  12543. "args": {
  12544. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  12545. "op": "Conv2DBackpropFilter"
  12546. }
  12547. },
  12548. {
  12549. "ph": "X",
  12550. "cat": "Op",
  12551. "name": "Conv2DBackpropFilter",
  12552. "pid": 11,
  12553. "tid": 0,
  12554. "ts": 1539815917054299,
  12555. "dur": 301,
  12556. "args": {
  12557. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  12558. "op": "Conv2DBackpropFilter"
  12559. }
  12560. },
  12561. {
  12562. "ph": "X",
  12563. "cat": "Op",
  12564. "name": "Conv2DBackpropFilter",
  12565. "pid": 11,
  12566. "tid": 0,
  12567. "ts": 1539815917054603,
  12568. "dur": 21,
  12569. "args": {
  12570. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  12571. "op": "Conv2DBackpropFilter"
  12572. }
  12573. },
  12574. {
  12575. "ph": "X",
  12576. "cat": "Op",
  12577. "name": "Conv2DBackpropFilter",
  12578. "pid": 11,
  12579. "tid": 0,
  12580. "ts": 1539815917054669,
  12581. "dur": 162,
  12582. "args": {
  12583. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  12584. "op": "Conv2DBackpropFilter"
  12585. }
  12586. },
  12587. {
  12588. "ph": "X",
  12589. "cat": "Op",
  12590. "name": "Conv2DBackpropFilter",
  12591. "pid": 11,
  12592. "tid": 0,
  12593. "ts": 1539815917054835,
  12594. "dur": 190,
  12595. "args": {
  12596. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  12597. "op": "Conv2DBackpropFilter"
  12598. }
  12599. },
  12600. {
  12601. "ph": "X",
  12602. "cat": "Op",
  12603. "name": "Conv2DBackpropFilter",
  12604. "pid": 11,
  12605. "tid": 0,
  12606. "ts": 1539815917055029,
  12607. "dur": 291,
  12608. "args": {
  12609. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  12610. "op": "Conv2DBackpropFilter"
  12611. }
  12612. },
  12613. {
  12614. "ph": "X",
  12615. "cat": "Op",
  12616. "name": "Conv2DBackpropFilter",
  12617. "pid": 11,
  12618. "tid": 0,
  12619. "ts": 1539815917055324,
  12620. "dur": 21,
  12621. "args": {
  12622. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  12623. "op": "Conv2DBackpropFilter"
  12624. }
  12625. },
  12626. {
  12627. "ph": "X",
  12628. "cat": "Op",
  12629. "name": "Conv2DBackpropFilter",
  12630. "pid": 11,
  12631. "tid": 0,
  12632. "ts": 1539815917055391,
  12633. "dur": 161,
  12634. "args": {
  12635. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  12636. "op": "Conv2DBackpropFilter"
  12637. }
  12638. },
  12639. {
  12640. "ph": "X",
  12641. "cat": "Op",
  12642. "name": "Conv2DBackpropFilter",
  12643. "pid": 11,
  12644. "tid": 0,
  12645. "ts": 1539815917055556,
  12646. "dur": 188,
  12647. "args": {
  12648. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  12649. "op": "Conv2DBackpropFilter"
  12650. }
  12651. },
  12652. {
  12653. "ph": "X",
  12654. "cat": "Op",
  12655. "name": "Conv2DBackpropFilter",
  12656. "pid": 11,
  12657. "tid": 0,
  12658. "ts": 1539815917055751,
  12659. "dur": 292,
  12660. "args": {
  12661. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  12662. "op": "Conv2DBackpropFilter"
  12663. }
  12664. },
  12665. {
  12666. "ph": "X",
  12667. "cat": "Op",
  12668. "name": "Conv2DBackpropFilter",
  12669. "pid": 11,
  12670. "tid": 0,
  12671. "ts": 1539815917056047,
  12672. "dur": 20,
  12673. "args": {
  12674. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  12675. "op": "Conv2DBackpropFilter"
  12676. }
  12677. },
  12678. {
  12679. "ph": "X",
  12680. "cat": "Op",
  12681. "name": "Conv2DBackpropFilter",
  12682. "pid": 11,
  12683. "tid": 0,
  12684. "ts": 1539815917056071,
  12685. "dur": 9,
  12686. "args": {
  12687. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  12688. "op": "Conv2DBackpropFilter"
  12689. }
  12690. },
  12691. {
  12692. "ph": "X",
  12693. "cat": "Op",
  12694. "name": "Conv2DBackpropInput",
  12695. "pid": 11,
  12696. "tid": 0,
  12697. "ts": 1539815917056083,
  12698. "dur": 8,
  12699. "args": {
  12700. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  12701. "op": "Conv2DBackpropInput"
  12702. }
  12703. },
  12704. {
  12705. "ph": "X",
  12706. "cat": "Op",
  12707. "name": "Conv2DBackpropInput",
  12708. "pid": 11,
  12709. "tid": 0,
  12710. "ts": 1539815917056097,
  12711. "dur": 22,
  12712. "args": {
  12713. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  12714. "op": "Conv2DBackpropInput"
  12715. }
  12716. },
  12717. {
  12718. "ph": "X",
  12719. "cat": "Op",
  12720. "name": "Conv2DBackpropInput",
  12721. "pid": 11,
  12722. "tid": 0,
  12723. "ts": 1539815917056123,
  12724. "dur": 2821,
  12725. "args": {
  12726. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  12727. "op": "Conv2DBackpropInput"
  12728. }
  12729. },
  12730. {
  12731. "ph": "X",
  12732. "cat": "Op",
  12733. "name": "Conv2DBackpropInput",
  12734. "pid": 11,
  12735. "tid": 0,
  12736. "ts": 1539815917058986,
  12737. "dur": 22,
  12738. "args": {
  12739. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  12740. "op": "Conv2DBackpropInput"
  12741. }
  12742. },
  12743. {
  12744. "ph": "X",
  12745. "cat": "Op",
  12746. "name": "Conv2DBackpropInput",
  12747. "pid": 11,
  12748. "tid": 0,
  12749. "ts": 1539815917059012,
  12750. "dur": 2819,
  12751. "args": {
  12752. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  12753. "op": "Conv2DBackpropInput"
  12754. }
  12755. },
  12756. {
  12757. "ph": "X",
  12758. "cat": "Op",
  12759. "name": "Conv2DBackpropInput",
  12760. "pid": 11,
  12761. "tid": 0,
  12762. "ts": 1539815917061883,
  12763. "dur": 4,
  12764. "args": {
  12765. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  12766. "op": "Conv2DBackpropInput"
  12767. }
  12768. },
  12769. {
  12770. "ph": "X",
  12771. "cat": "Op",
  12772. "name": "Conv2DBackpropInput",
  12773. "pid": 11,
  12774. "tid": 0,
  12775. "ts": 1539815917061894,
  12776. "dur": 3,
  12777. "args": {
  12778. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  12779. "op": "Conv2DBackpropInput"
  12780. }
  12781. },
  12782. {
  12783. "ph": "X",
  12784. "cat": "Op",
  12785. "name": "Conv2DBackpropInput",
  12786. "pid": 11,
  12787. "tid": 0,
  12788. "ts": 1539815917061908,
  12789. "dur": 1777,
  12790. "args": {
  12791. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  12792. "op": "Conv2DBackpropInput"
  12793. }
  12794. },
  12795. {
  12796. "ph": "X",
  12797. "cat": "Op",
  12798. "name": "Conv2DBackpropInput",
  12799. "pid": 11,
  12800. "tid": 0,
  12801. "ts": 1539815917063741,
  12802. "dur": 4,
  12803. "args": {
  12804. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  12805. "op": "Conv2DBackpropInput"
  12806. }
  12807. },
  12808. {
  12809. "ph": "X",
  12810. "cat": "Op",
  12811. "name": "Conv2DBackpropInput",
  12812. "pid": 11,
  12813. "tid": 0,
  12814. "ts": 1539815917063753,
  12815. "dur": 3,
  12816. "args": {
  12817. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  12818. "op": "Conv2DBackpropInput"
  12819. }
  12820. },
  12821. {
  12822. "ph": "X",
  12823. "cat": "Op",
  12824. "name": "Conv2DBackpropInput",
  12825. "pid": 11,
  12826. "tid": 0,
  12827. "ts": 1539815917063764,
  12828. "dur": 1779,
  12829. "args": {
  12830. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  12831. "op": "Conv2DBackpropInput"
  12832. }
  12833. },
  12834. {
  12835. "ph": "X",
  12836. "cat": "Op",
  12837. "name": "Conv2DBackpropInput",
  12838. "pid": 11,
  12839. "tid": 0,
  12840. "ts": 1539815917065603,
  12841. "dur": 64,
  12842. "args": {
  12843. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  12844. "op": "Conv2DBackpropInput"
  12845. }
  12846. },
  12847. {
  12848. "ph": "X",
  12849. "cat": "Op",
  12850. "name": "Conv2DBackpropInput",
  12851. "pid": 11,
  12852. "tid": 0,
  12853. "ts": 1539815917065980,
  12854. "dur": 4,
  12855. "args": {
  12856. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  12857. "op": "Conv2DBackpropInput"
  12858. }
  12859. },
  12860. {
  12861. "ph": "X",
  12862. "cat": "Op",
  12863. "name": "Conv2DBackpropInput",
  12864. "pid": 11,
  12865. "tid": 0,
  12866. "ts": 1539815917065988,
  12867. "dur": 681,
  12868. "args": {
  12869. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  12870. "op": "Conv2DBackpropInput"
  12871. }
  12872. },
  12873. {
  12874. "ph": "X",
  12875. "cat": "Op",
  12876. "name": "Conv2DBackpropInput",
  12877. "pid": 11,
  12878. "tid": 0,
  12879. "ts": 1539815917066674,
  12880. "dur": 142,
  12881. "args": {
  12882. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  12883. "op": "Conv2DBackpropInput"
  12884. }
  12885. },
  12886. {
  12887. "ph": "X",
  12888. "cat": "Op",
  12889. "name": "Conv2DBackpropInput",
  12890. "pid": 11,
  12891. "tid": 0,
  12892. "ts": 1539815917066872,
  12893. "dur": 67,
  12894. "args": {
  12895. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  12896. "op": "Conv2DBackpropInput"
  12897. }
  12898. },
  12899. {
  12900. "ph": "X",
  12901. "cat": "Op",
  12902. "name": "Conv2DBackpropInput",
  12903. "pid": 11,
  12904. "tid": 0,
  12905. "ts": 1539815917067250,
  12906. "dur": 4,
  12907. "args": {
  12908. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  12909. "op": "Conv2DBackpropInput"
  12910. }
  12911. },
  12912. {
  12913. "ph": "X",
  12914. "cat": "Op",
  12915. "name": "Conv2DBackpropInput",
  12916. "pid": 11,
  12917. "tid": 0,
  12918. "ts": 1539815917067257,
  12919. "dur": 681,
  12920. "args": {
  12921. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  12922. "op": "Conv2DBackpropInput"
  12923. }
  12924. },
  12925. {
  12926. "ph": "X",
  12927. "cat": "Op",
  12928. "name": "Conv2DBackpropInput",
  12929. "pid": 11,
  12930. "tid": 0,
  12931. "ts": 1539815917067943,
  12932. "dur": 142,
  12933. "args": {
  12934. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  12935. "op": "Conv2DBackpropInput"
  12936. }
  12937. },
  12938. {
  12939. "ph": "X",
  12940. "cat": "Op",
  12941. "name": "Conv2DBackpropInput",
  12942. "pid": 11,
  12943. "tid": 0,
  12944. "ts": 1539815917068137,
  12945. "dur": 61,
  12946. "args": {
  12947. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  12948. "op": "Conv2DBackpropInput"
  12949. }
  12950. },
  12951. {
  12952. "ph": "X",
  12953. "cat": "Op",
  12954. "name": "Conv2DBackpropInput",
  12955. "pid": 11,
  12956. "tid": 0,
  12957. "ts": 1539815917069272,
  12958. "dur": 62,
  12959. "args": {
  12960. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  12961. "op": "Conv2DBackpropInput"
  12962. }
  12963. },
  12964. {
  12965. "ph": "X",
  12966. "cat": "Op",
  12967. "name": "Conv2DBackpropInput",
  12968. "pid": 11,
  12969. "tid": 0,
  12970. "ts": 1539815917070439,
  12971. "dur": 304,
  12972. "args": {
  12973. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  12974. "op": "Conv2DBackpropInput"
  12975. }
  12976. },
  12977. {
  12978. "ph": "X",
  12979. "cat": "Op",
  12980. "name": "Conv2DBackpropInput",
  12981. "pid": 11,
  12982. "tid": 0,
  12983. "ts": 1539815917070747,
  12984. "dur": 16,
  12985. "args": {
  12986. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  12987. "op": "Conv2DBackpropInput"
  12988. }
  12989. },
  12990. {
  12991. "ph": "X",
  12992. "cat": "Op",
  12993. "name": "Conv2DBackpropInput",
  12994. "pid": 11,
  12995. "tid": 0,
  12996. "ts": 1539815917070766,
  12997. "dur": 231,
  12998. "args": {
  12999. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  13000. "op": "Conv2DBackpropInput"
  13001. }
  13002. },
  13003. {
  13004. "ph": "X",
  13005. "cat": "Op",
  13006. "name": "Conv2DBackpropInput",
  13007. "pid": 11,
  13008. "tid": 0,
  13009. "ts": 1539815917071001,
  13010. "dur": 146,
  13011. "args": {
  13012. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  13013. "op": "Conv2DBackpropInput"
  13014. }
  13015. },
  13016. {
  13017. "ph": "X",
  13018. "cat": "Op",
  13019. "name": "Conv2DBackpropInput",
  13020. "pid": 11,
  13021. "tid": 0,
  13022. "ts": 1539815917071196,
  13023. "dur": 305,
  13024. "args": {
  13025. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  13026. "op": "Conv2DBackpropInput"
  13027. }
  13028. },
  13029. {
  13030. "ph": "X",
  13031. "cat": "Op",
  13032. "name": "Conv2DBackpropInput",
  13033. "pid": 11,
  13034. "tid": 0,
  13035. "ts": 1539815917071504,
  13036. "dur": 16,
  13037. "args": {
  13038. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  13039. "op": "Conv2DBackpropInput"
  13040. }
  13041. },
  13042. {
  13043. "ph": "X",
  13044. "cat": "Op",
  13045. "name": "Conv2DBackpropInput",
  13046. "pid": 11,
  13047. "tid": 0,
  13048. "ts": 1539815917071524,
  13049. "dur": 230,
  13050. "args": {
  13051. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  13052. "op": "Conv2DBackpropInput"
  13053. }
  13054. },
  13055. {
  13056. "ph": "X",
  13057. "cat": "Op",
  13058. "name": "Conv2DBackpropInput",
  13059. "pid": 11,
  13060. "tid": 0,
  13061. "ts": 1539815917071758,
  13062. "dur": 139,
  13063. "args": {
  13064. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  13065. "op": "Conv2DBackpropInput"
  13066. }
  13067. },
  13068. {
  13069. "ph": "X",
  13070. "cat": "Op",
  13071. "name": "Conv2DBackpropInput",
  13072. "pid": 11,
  13073. "tid": 0,
  13074. "ts": 1539815917071938,
  13075. "dur": 304,
  13076. "args": {
  13077. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  13078. "op": "Conv2DBackpropInput"
  13079. }
  13080. },
  13081. {
  13082. "ph": "X",
  13083. "cat": "Op",
  13084. "name": "Conv2DBackpropInput",
  13085. "pid": 11,
  13086. "tid": 0,
  13087. "ts": 1539815917072246,
  13088. "dur": 15,
  13089. "args": {
  13090. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  13091. "op": "Conv2DBackpropInput"
  13092. }
  13093. },
  13094. {
  13095. "ph": "X",
  13096. "cat": "Op",
  13097. "name": "Conv2DBackpropInput",
  13098. "pid": 11,
  13099. "tid": 0,
  13100. "ts": 1539815917072264,
  13101. "dur": 231,
  13102. "args": {
  13103. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  13104. "op": "Conv2DBackpropInput"
  13105. }
  13106. },
  13107. {
  13108. "ph": "X",
  13109. "cat": "Op",
  13110. "name": "Conv2DBackpropInput",
  13111. "pid": 11,
  13112. "tid": 0,
  13113. "ts": 1539815917072500,
  13114. "dur": 140,
  13115. "args": {
  13116. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  13117. "op": "Conv2DBackpropInput"
  13118. }
  13119. },
  13120. {
  13121. "ph": "X",
  13122. "cat": "Op",
  13123. "name": "FusedBatchNormGrad",
  13124. "pid": 11,
  13125. "tid": 0,
  13126. "ts": 1539815917072643,
  13127. "dur": 3,
  13128. "args": {
  13129. "name": "training/TFOptimizer/gradients/batch_normalization_1/FusedBatchNorm_grad/FusedBatchNormGrad",
  13130. "op": "FusedBatchNormGrad"
  13131. }
  13132. },
  13133. {
  13134. "ph": "X",
  13135. "cat": "Op",
  13136. "name": "FusedBatchNormGrad",
  13137. "pid": 11,
  13138. "tid": 0,
  13139. "ts": 1539815917072649,
  13140. "dur": 3,
  13141. "args": {
  13142. "name": "training/TFOptimizer/gradients/batch_normalization_1/FusedBatchNorm_grad/FusedBatchNormGrad",
  13143. "op": "FusedBatchNormGrad"
  13144. }
  13145. },
  13146. {
  13147. "ph": "X",
  13148. "cat": "Op",
  13149. "name": "FusedBatchNormGrad",
  13150. "pid": 11,
  13151. "tid": 0,
  13152. "ts": 1539815917072655,
  13153. "dur": 110,
  13154. "args": {
  13155. "name": "training/TFOptimizer/gradients/batch_normalization_1/FusedBatchNorm_grad/FusedBatchNormGrad",
  13156. "op": "FusedBatchNormGrad"
  13157. }
  13158. },
  13159. {
  13160. "ph": "X",
  13161. "cat": "Op",
  13162. "name": "Mul",
  13163. "pid": 11,
  13164. "tid": 0,
  13165. "ts": 1539815917072770,
  13166. "dur": 50,
  13167. "args": {
  13168. "name": "training/TFOptimizer/gradients/dropout/dropout/mul_grad/Mul",
  13169. "op": "Mul"
  13170. }
  13171. },
  13172. {
  13173. "ph": "X",
  13174. "cat": "Op",
  13175. "name": "Mul",
  13176. "pid": 11,
  13177. "tid": 0,
  13178. "ts": 1539815917072823,
  13179. "dur": 34,
  13180. "args": {
  13181. "name": "training/TFOptimizer/gradients/dropout/dropout/div_grad/RealDiv",
  13182. "op": "Mul"
  13183. }
  13184. },
  13185. {
  13186. "ph": "X",
  13187. "cat": "Op",
  13188. "name": "Transpose",
  13189. "pid": 11,
  13190. "tid": 0,
  13191. "ts": 1539815917072861,
  13192. "dur": 36,
  13193. "args": {
  13194. "name": "training/TFOptimizer/gradients/dropout/dropout/div_grad/RealDiv-0-0-TransposeNCHWToNHWC-LayoutOptimizer",
  13195. "op": "Transpose"
  13196. }
  13197. },
  13198. {
  13199. "ph": "X",
  13200. "cat": "Op",
  13201. "name": "Transpose",
  13202. "pid": 11,
  13203. "tid": 0,
  13204. "ts": 1539815917072901,
  13205. "dur": 37,
  13206. "args": {
  13207. "name": "training/TFOptimizer/gradients/max_pooling2d/MaxPool_grad/MaxPoolGrad-2-TransposeNHWCToNCHW-LayoutOptimizer",
  13208. "op": "Transpose"
  13209. }
  13210. },
  13211. {
  13212. "ph": "X",
  13213. "cat": "Op",
  13214. "name": "MaxPoolGrad",
  13215. "pid": 11,
  13216. "tid": 0,
  13217. "ts": 1539815917072943,
  13218. "dur": 169,
  13219. "args": {
  13220. "name": "training/TFOptimizer/gradients/max_pooling2d/MaxPool_grad/MaxPoolGrad",
  13221. "op": "MaxPoolGrad"
  13222. }
  13223. },
  13224. {
  13225. "ph": "X",
  13226. "cat": "Op",
  13227. "name": "EluGrad",
  13228. "pid": 11,
  13229. "tid": 0,
  13230. "ts": 1539815917073116,
  13231. "dur": 200,
  13232. "args": {
  13233. "name": "training/TFOptimizer/gradients/conv2d/Elu_grad/EluGrad",
  13234. "op": "EluGrad"
  13235. }
  13236. },
  13237. {
  13238. "ph": "X",
  13239. "cat": "Op",
  13240. "name": "BiasAddGrad",
  13241. "pid": 11,
  13242. "tid": 0,
  13243. "ts": 1539815917073327,
  13244. "dur": 99,
  13245. "args": {
  13246. "name": "training/TFOptimizer/gradients/conv2d/BiasAdd_grad/BiasAddGrad",
  13247. "op": "BiasAddGrad"
  13248. }
  13249. },
  13250. {
  13251. "ph": "X",
  13252. "cat": "Op",
  13253. "name": "BiasAddGrad",
  13254. "pid": 11,
  13255. "tid": 0,
  13256. "ts": 1539815917073460,
  13257. "dur": 64,
  13258. "args": {
  13259. "name": "training/TFOptimizer/gradients/conv2d/BiasAdd_grad/BiasAddGrad",
  13260. "op": "BiasAddGrad"
  13261. }
  13262. },
  13263. {
  13264. "ph": "X",
  13265. "cat": "Op",
  13266. "name": "BiasAddGrad",
  13267. "pid": 11,
  13268. "tid": 0,
  13269. "ts": 1539815917073528,
  13270. "dur": 5,
  13271. "args": {
  13272. "name": "training/TFOptimizer/gradients/conv2d/BiasAdd_grad/BiasAddGrad",
  13273. "op": "BiasAddGrad"
  13274. }
  13275. },
  13276. {
  13277. "ph": "X",
  13278. "cat": "Op",
  13279. "name": "BiasAddGrad",
  13280. "pid": 11,
  13281. "tid": 0,
  13282. "ts": 1539815917073536,
  13283. "dur": 5,
  13284. "args": {
  13285. "name": "training/TFOptimizer/gradients/conv2d/BiasAdd_grad/BiasAddGrad",
  13286. "op": "BiasAddGrad"
  13287. }
  13288. },
  13289. {
  13290. "ph": "X",
  13291. "cat": "Op",
  13292. "name": "Conv2DBackpropFilter",
  13293. "pid": 11,
  13294. "tid": 0,
  13295. "ts": 1539815917073665,
  13296. "dur": 222,
  13297. "args": {
  13298. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  13299. "op": "Conv2DBackpropFilter"
  13300. }
  13301. },
  13302. {
  13303. "ph": "X",
  13304. "cat": "Op",
  13305. "name": "Conv2DBackpropFilter",
  13306. "pid": 11,
  13307. "tid": 0,
  13308. "ts": 1539815917073945,
  13309. "dur": 221,
  13310. "args": {
  13311. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  13312. "op": "Conv2DBackpropFilter"
  13313. }
  13314. },
  13315. {
  13316. "ph": "X",
  13317. "cat": "Op",
  13318. "name": "Conv2DBackpropFilter",
  13319. "pid": 11,
  13320. "tid": 0,
  13321. "ts": 1539815917074227,
  13322. "dur": 4,
  13323. "args": {
  13324. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  13325. "op": "Conv2DBackpropFilter"
  13326. }
  13327. },
  13328. {
  13329. "ph": "X",
  13330. "cat": "Op",
  13331. "name": "Conv2DBackpropFilter",
  13332. "pid": 11,
  13333. "tid": 0,
  13334. "ts": 1539815917074239,
  13335. "dur": 3,
  13336. "args": {
  13337. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  13338. "op": "Conv2DBackpropFilter"
  13339. }
  13340. },
  13341. {
  13342. "ph": "X",
  13343. "cat": "Op",
  13344. "name": "Conv2DBackpropFilter",
  13345. "pid": 11,
  13346. "tid": 0,
  13347. "ts": 1539815917074249,
  13348. "dur": 4,
  13349. "args": {
  13350. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  13351. "op": "Conv2DBackpropFilter"
  13352. }
  13353. },
  13354. {
  13355. "ph": "X",
  13356. "cat": "Op",
  13357. "name": "Conv2DBackpropFilter",
  13358. "pid": 11,
  13359. "tid": 0,
  13360. "ts": 1539815917074259,
  13361. "dur": 941,
  13362. "args": {
  13363. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  13364. "op": "Conv2DBackpropFilter"
  13365. }
  13366. },
  13367. {
  13368. "ph": "X",
  13369. "cat": "Op",
  13370. "name": "Conv2DBackpropFilter",
  13371. "pid": 11,
  13372. "tid": 0,
  13373. "ts": 1539815917075264,
  13374. "dur": 4,
  13375. "args": {
  13376. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  13377. "op": "Conv2DBackpropFilter"
  13378. }
  13379. },
  13380. {
  13381. "ph": "X",
  13382. "cat": "Op",
  13383. "name": "Conv2DBackpropFilter",
  13384. "pid": 11,
  13385. "tid": 0,
  13386. "ts": 1539815917075275,
  13387. "dur": 3,
  13388. "args": {
  13389. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  13390. "op": "Conv2DBackpropFilter"
  13391. }
  13392. },
  13393. {
  13394. "ph": "X",
  13395. "cat": "Op",
  13396. "name": "Conv2DBackpropFilter",
  13397. "pid": 11,
  13398. "tid": 0,
  13399. "ts": 1539815917075285,
  13400. "dur": 3,
  13401. "args": {
  13402. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  13403. "op": "Conv2DBackpropFilter"
  13404. }
  13405. },
  13406. {
  13407. "ph": "X",
  13408. "cat": "Op",
  13409. "name": "Conv2DBackpropFilter",
  13410. "pid": 11,
  13411. "tid": 0,
  13412. "ts": 1539815917075295,
  13413. "dur": 940,
  13414. "args": {
  13415. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  13416. "op": "Conv2DBackpropFilter"
  13417. }
  13418. },
  13419. {
  13420. "ph": "X",
  13421. "cat": "Op",
  13422. "name": "Conv2DBackpropFilter",
  13423. "pid": 11,
  13424. "tid": 0,
  13425. "ts": 1539815917076285,
  13426. "dur": 456,
  13427. "args": {
  13428. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  13429. "op": "Conv2DBackpropFilter"
  13430. }
  13431. },
  13432. {
  13433. "ph": "X",
  13434. "cat": "Op",
  13435. "name": "Conv2DBackpropFilter",
  13436. "pid": 11,
  13437. "tid": 0,
  13438. "ts": 1539815917076769,
  13439. "dur": 191,
  13440. "args": {
  13441. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  13442. "op": "Conv2DBackpropFilter"
  13443. }
  13444. },
  13445. {
  13446. "ph": "X",
  13447. "cat": "Op",
  13448. "name": "Conv2DBackpropFilter",
  13449. "pid": 11,
  13450. "tid": 0,
  13451. "ts": 1539815917076964,
  13452. "dur": 4,
  13453. "args": {
  13454. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  13455. "op": "Conv2DBackpropFilter"
  13456. }
  13457. },
  13458. {
  13459. "ph": "X",
  13460. "cat": "Op",
  13461. "name": "Conv2DBackpropFilter",
  13462. "pid": 11,
  13463. "tid": 0,
  13464. "ts": 1539815917076972,
  13465. "dur": 334,
  13466. "args": {
  13467. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  13468. "op": "Conv2DBackpropFilter"
  13469. }
  13470. },
  13471. {
  13472. "ph": "X",
  13473. "cat": "Op",
  13474. "name": "Conv2DBackpropFilter",
  13475. "pid": 11,
  13476. "tid": 0,
  13477. "ts": 1539815917077310,
  13478. "dur": 18,
  13479. "args": {
  13480. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  13481. "op": "Conv2DBackpropFilter"
  13482. }
  13483. },
  13484. {
  13485. "ph": "X",
  13486. "cat": "Op",
  13487. "name": "Conv2DBackpropFilter",
  13488. "pid": 11,
  13489. "tid": 0,
  13490. "ts": 1539815917077375,
  13491. "dur": 456,
  13492. "args": {
  13493. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  13494. "op": "Conv2DBackpropFilter"
  13495. }
  13496. },
  13497. {
  13498. "ph": "X",
  13499. "cat": "Op",
  13500. "name": "Conv2DBackpropFilter",
  13501. "pid": 11,
  13502. "tid": 0,
  13503. "ts": 1539815917077859,
  13504. "dur": 193,
  13505. "args": {
  13506. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  13507. "op": "Conv2DBackpropFilter"
  13508. }
  13509. },
  13510. {
  13511. "ph": "X",
  13512. "cat": "Op",
  13513. "name": "Conv2DBackpropFilter",
  13514. "pid": 11,
  13515. "tid": 0,
  13516. "ts": 1539815917078057,
  13517. "dur": 4,
  13518. "args": {
  13519. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  13520. "op": "Conv2DBackpropFilter"
  13521. }
  13522. },
  13523. {
  13524. "ph": "X",
  13525. "cat": "Op",
  13526. "name": "Conv2DBackpropFilter",
  13527. "pid": 11,
  13528. "tid": 0,
  13529. "ts": 1539815917078064,
  13530. "dur": 335,
  13531. "args": {
  13532. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  13533. "op": "Conv2DBackpropFilter"
  13534. }
  13535. },
  13536. {
  13537. "ph": "X",
  13538. "cat": "Op",
  13539. "name": "Conv2DBackpropFilter",
  13540. "pid": 11,
  13541. "tid": 0,
  13542. "ts": 1539815917078404,
  13543. "dur": 18,
  13544. "args": {
  13545. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  13546. "op": "Conv2DBackpropFilter"
  13547. }
  13548. },
  13549. {
  13550. "ph": "X",
  13551. "cat": "Op",
  13552. "name": "Conv2DBackpropFilter",
  13553. "pid": 11,
  13554. "tid": 0,
  13555. "ts": 1539815917078483,
  13556. "dur": 4,
  13557. "args": {
  13558. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  13559. "op": "Conv2DBackpropFilter"
  13560. }
  13561. },
  13562. {
  13563. "ph": "X",
  13564. "cat": "Op",
  13565. "name": "Conv2DBackpropFilter",
  13566. "pid": 11,
  13567. "tid": 0,
  13568. "ts": 1539815917078493,
  13569. "dur": 3,
  13570. "args": {
  13571. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  13572. "op": "Conv2DBackpropFilter"
  13573. }
  13574. },
  13575. {
  13576. "ph": "X",
  13577. "cat": "Op",
  13578. "name": "Conv2DBackpropFilter",
  13579. "pid": 11,
  13580. "tid": 0,
  13581. "ts": 1539815917078503,
  13582. "dur": 4,
  13583. "args": {
  13584. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  13585. "op": "Conv2DBackpropFilter"
  13586. }
  13587. },
  13588. {
  13589. "ph": "X",
  13590. "cat": "Op",
  13591. "name": "Conv2DBackpropFilter",
  13592. "pid": 11,
  13593. "tid": 0,
  13594. "ts": 1539815917078515,
  13595. "dur": 940,
  13596. "args": {
  13597. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  13598. "op": "Conv2DBackpropFilter"
  13599. }
  13600. },
  13601. {
  13602. "ph": "X",
  13603. "cat": "Op",
  13604. "name": "Conv2DBackpropFilter",
  13605. "pid": 11,
  13606. "tid": 0,
  13607. "ts": 1539815917079517,
  13608. "dur": 4,
  13609. "args": {
  13610. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  13611. "op": "Conv2DBackpropFilter"
  13612. }
  13613. },
  13614. {
  13615. "ph": "X",
  13616. "cat": "Op",
  13617. "name": "Conv2DBackpropFilter",
  13618. "pid": 11,
  13619. "tid": 0,
  13620. "ts": 1539815917079528,
  13621. "dur": 3,
  13622. "args": {
  13623. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  13624. "op": "Conv2DBackpropFilter"
  13625. }
  13626. },
  13627. {
  13628. "ph": "X",
  13629. "cat": "Op",
  13630. "name": "Conv2DBackpropFilter",
  13631. "pid": 11,
  13632. "tid": 0,
  13633. "ts": 1539815917079538,
  13634. "dur": 3,
  13635. "args": {
  13636. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  13637. "op": "Conv2DBackpropFilter"
  13638. }
  13639. },
  13640. {
  13641. "ph": "X",
  13642. "cat": "Op",
  13643. "name": "Conv2DBackpropFilter",
  13644. "pid": 11,
  13645. "tid": 0,
  13646. "ts": 1539815917079548,
  13647. "dur": 940,
  13648. "args": {
  13649. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  13650. "op": "Conv2DBackpropFilter"
  13651. }
  13652. },
  13653. {
  13654. "ph": "X",
  13655. "cat": "Op",
  13656. "name": "Conv2DBackpropFilter",
  13657. "pid": 11,
  13658. "tid": 0,
  13659. "ts": 1539815917080531,
  13660. "dur": 25,
  13661. "args": {
  13662. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  13663. "op": "Conv2DBackpropFilter"
  13664. }
  13665. },
  13666. {
  13667. "ph": "X",
  13668. "cat": "Op",
  13669. "name": "Conv2DBackpropFilter",
  13670. "pid": 11,
  13671. "tid": 0,
  13672. "ts": 1539815917080559,
  13673. "dur": 343,
  13674. "args": {
  13675. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  13676. "op": "Conv2DBackpropFilter"
  13677. }
  13678. },
  13679. {
  13680. "ph": "X",
  13681. "cat": "Op",
  13682. "name": "Conv2DBackpropFilter",
  13683. "pid": 11,
  13684. "tid": 0,
  13685. "ts": 1539815917080906,
  13686. "dur": 1105,
  13687. "args": {
  13688. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  13689. "op": "Conv2DBackpropFilter"
  13690. }
  13691. },
  13692. {
  13693. "ph": "X",
  13694. "cat": "Op",
  13695. "name": "Conv2DBackpropFilter",
  13696. "pid": 11,
  13697. "tid": 0,
  13698. "ts": 1539815917082015,
  13699. "dur": 7,
  13700. "args": {
  13701. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  13702. "op": "Conv2DBackpropFilter"
  13703. }
  13704. },
  13705. {
  13706. "ph": "X",
  13707. "cat": "Op",
  13708. "name": "Conv2DBackpropFilter",
  13709. "pid": 11,
  13710. "tid": 0,
  13711. "ts": 1539815917082072,
  13712. "dur": 25,
  13713. "args": {
  13714. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  13715. "op": "Conv2DBackpropFilter"
  13716. }
  13717. },
  13718. {
  13719. "ph": "X",
  13720. "cat": "Op",
  13721. "name": "Conv2DBackpropFilter",
  13722. "pid": 11,
  13723. "tid": 0,
  13724. "ts": 1539815917082101,
  13725. "dur": 343,
  13726. "args": {
  13727. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  13728. "op": "Conv2DBackpropFilter"
  13729. }
  13730. },
  13731. {
  13732. "ph": "X",
  13733. "cat": "Op",
  13734. "name": "Conv2DBackpropFilter",
  13735. "pid": 11,
  13736. "tid": 0,
  13737. "ts": 1539815917082447,
  13738. "dur": 1105,
  13739. "args": {
  13740. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  13741. "op": "Conv2DBackpropFilter"
  13742. }
  13743. },
  13744. {
  13745. "ph": "X",
  13746. "cat": "Op",
  13747. "name": "Conv2DBackpropFilter",
  13748. "pid": 11,
  13749. "tid": 0,
  13750. "ts": 1539815917083557,
  13751. "dur": 7,
  13752. "args": {
  13753. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  13754. "op": "Conv2DBackpropFilter"
  13755. }
  13756. },
  13757. {
  13758. "ph": "X",
  13759. "cat": "Op",
  13760. "name": "Conv2DBackpropFilter",
  13761. "pid": 11,
  13762. "tid": 0,
  13763. "ts": 1539815917083626,
  13764. "dur": 221,
  13765. "args": {
  13766. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  13767. "op": "Conv2DBackpropFilter"
  13768. }
  13769. },
  13770. {
  13771. "ph": "X",
  13772. "cat": "Op",
  13773. "name": "Conv2DBackpropFilter",
  13774. "pid": 11,
  13775. "tid": 0,
  13776. "ts": 1539815917083854,
  13777. "dur": 4,
  13778. "args": {
  13779. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  13780. "op": "Conv2DBackpropFilter"
  13781. }
  13782. },
  13783. {
  13784. "ph": "X",
  13785. "cat": "Op",
  13786. "name": "Conv2DBackpropInput",
  13787. "pid": 11,
  13788. "tid": 0,
  13789. "ts": 1539815917083861,
  13790. "dur": 5,
  13791. "args": {
  13792. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  13793. "op": "Conv2DBackpropInput"
  13794. }
  13795. },
  13796. {
  13797. "ph": "X",
  13798. "cat": "Op",
  13799. "name": "Conv2DBackpropInput",
  13800. "pid": 11,
  13801. "tid": 0,
  13802. "ts": 1539815917083872,
  13803. "dur": 4,
  13804. "args": {
  13805. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  13806. "op": "Conv2DBackpropInput"
  13807. }
  13808. },
  13809. {
  13810. "ph": "X",
  13811. "cat": "Op",
  13812. "name": "Conv2DBackpropInput",
  13813. "pid": 11,
  13814. "tid": 0,
  13815. "ts": 1539815917083880,
  13816. "dur": 210,
  13817. "args": {
  13818. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  13819. "op": "Conv2DBackpropInput"
  13820. }
  13821. },
  13822. {
  13823. "ph": "X",
  13824. "cat": "Op",
  13825. "name": "Conv2DBackpropInput",
  13826. "pid": 11,
  13827. "tid": 0,
  13828. "ts": 1539815917084130,
  13829. "dur": 4,
  13830. "args": {
  13831. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  13832. "op": "Conv2DBackpropInput"
  13833. }
  13834. },
  13835. {
  13836. "ph": "X",
  13837. "cat": "Op",
  13838. "name": "Conv2DBackpropInput",
  13839. "pid": 11,
  13840. "tid": 0,
  13841. "ts": 1539815917084150,
  13842. "dur": 212,
  13843. "args": {
  13844. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  13845. "op": "Conv2DBackpropInput"
  13846. }
  13847. },
  13848. {
  13849. "ph": "X",
  13850. "cat": "Op",
  13851. "name": "Conv2DBackpropInput",
  13852. "pid": 11,
  13853. "tid": 0,
  13854. "ts": 1539815917084415,
  13855. "dur": 4,
  13856. "args": {
  13857. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  13858. "op": "Conv2DBackpropInput"
  13859. }
  13860. },
  13861. {
  13862. "ph": "X",
  13863. "cat": "Op",
  13864. "name": "Conv2DBackpropInput",
  13865. "pid": 11,
  13866. "tid": 0,
  13867. "ts": 1539815917084426,
  13868. "dur": 4,
  13869. "args": {
  13870. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  13871. "op": "Conv2DBackpropInput"
  13872. }
  13873. },
  13874. {
  13875. "ph": "X",
  13876. "cat": "Op",
  13877. "name": "Conv2DBackpropInput",
  13878. "pid": 11,
  13879. "tid": 0,
  13880. "ts": 1539815917084440,
  13881. "dur": 2958,
  13882. "args": {
  13883. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  13884. "op": "Conv2DBackpropInput"
  13885. }
  13886. },
  13887. {
  13888. "ph": "X",
  13889. "cat": "Op",
  13890. "name": "Conv2DBackpropInput",
  13891. "pid": 11,
  13892. "tid": 0,
  13893. "ts": 1539815917087455,
  13894. "dur": 4,
  13895. "args": {
  13896. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  13897. "op": "Conv2DBackpropInput"
  13898. }
  13899. },
  13900. {
  13901. "ph": "X",
  13902. "cat": "Op",
  13903. "name": "Conv2DBackpropInput",
  13904. "pid": 11,
  13905. "tid": 0,
  13906. "ts": 1539815917087467,
  13907. "dur": 3,
  13908. "args": {
  13909. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  13910. "op": "Conv2DBackpropInput"
  13911. }
  13912. },
  13913. {
  13914. "ph": "X",
  13915. "cat": "Op",
  13916. "name": "Conv2DBackpropInput",
  13917. "pid": 11,
  13918. "tid": 0,
  13919. "ts": 1539815917087479,
  13920. "dur": 2959,
  13921. "args": {
  13922. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  13923. "op": "Conv2DBackpropInput"
  13924. }
  13925. },
  13926. {
  13927. "ph": "X",
  13928. "cat": "Op",
  13929. "name": "Conv2DBackpropInput",
  13930. "pid": 11,
  13931. "tid": 0,
  13932. "ts": 1539815917090486,
  13933. "dur": 14,
  13934. "args": {
  13935. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  13936. "op": "Conv2DBackpropInput"
  13937. }
  13938. },
  13939. {
  13940. "ph": "X",
  13941. "cat": "Op",
  13942. "name": "Conv2DBackpropInput",
  13943. "pid": 11,
  13944. "tid": 0,
  13945. "ts": 1539815917090697,
  13946. "dur": 4,
  13947. "args": {
  13948. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  13949. "op": "Conv2DBackpropInput"
  13950. }
  13951. },
  13952. {
  13953. "ph": "X",
  13954. "cat": "Op",
  13955. "name": "Conv2DBackpropInput",
  13956. "pid": 11,
  13957. "tid": 0,
  13958. "ts": 1539815917090705,
  13959. "dur": 340,
  13960. "args": {
  13961. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  13962. "op": "Conv2DBackpropInput"
  13963. }
  13964. },
  13965. {
  13966. "ph": "X",
  13967. "cat": "Op",
  13968. "name": "Conv2DBackpropInput",
  13969. "pid": 11,
  13970. "tid": 0,
  13971. "ts": 1539815917091050,
  13972. "dur": 18,
  13973. "args": {
  13974. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  13975. "op": "Conv2DBackpropInput"
  13976. }
  13977. },
  13978. {
  13979. "ph": "X",
  13980. "cat": "Op",
  13981. "name": "Conv2DBackpropInput",
  13982. "pid": 11,
  13983. "tid": 0,
  13984. "ts": 1539815917091120,
  13985. "dur": 15,
  13986. "args": {
  13987. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  13988. "op": "Conv2DBackpropInput"
  13989. }
  13990. },
  13991. {
  13992. "ph": "X",
  13993. "cat": "Op",
  13994. "name": "Conv2DBackpropInput",
  13995. "pid": 11,
  13996. "tid": 0,
  13997. "ts": 1539815917091333,
  13998. "dur": 4,
  13999. "args": {
  14000. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  14001. "op": "Conv2DBackpropInput"
  14002. }
  14003. },
  14004. {
  14005. "ph": "X",
  14006. "cat": "Op",
  14007. "name": "Conv2DBackpropInput",
  14008. "pid": 11,
  14009. "tid": 0,
  14010. "ts": 1539815917091341,
  14011. "dur": 339,
  14012. "args": {
  14013. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  14014. "op": "Conv2DBackpropInput"
  14015. }
  14016. },
  14017. {
  14018. "ph": "X",
  14019. "cat": "Op",
  14020. "name": "Conv2DBackpropInput",
  14021. "pid": 11,
  14022. "tid": 0,
  14023. "ts": 1539815917091685,
  14024. "dur": 19,
  14025. "args": {
  14026. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  14027. "op": "Conv2DBackpropInput"
  14028. }
  14029. },
  14030. {
  14031. "ph": "X",
  14032. "cat": "Op",
  14033. "name": "Conv2DBackpropInput",
  14034. "pid": 11,
  14035. "tid": 0,
  14036. "ts": 1539815917091757,
  14037. "dur": 15,
  14038. "args": {
  14039. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  14040. "op": "Conv2DBackpropInput"
  14041. }
  14042. },
  14043. {
  14044. "ph": "X",
  14045. "cat": "Op",
  14046. "name": "Conv2DBackpropInput",
  14047. "pid": 11,
  14048. "tid": 0,
  14049. "ts": 1539815917092319,
  14050. "dur": 15,
  14051. "args": {
  14052. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  14053. "op": "Conv2DBackpropInput"
  14054. }
  14055. },
  14056. {
  14057. "ph": "X",
  14058. "cat": "Op",
  14059. "name": "Conv2DBackpropInput",
  14060. "pid": 11,
  14061. "tid": 0,
  14062. "ts": 1539815917092898,
  14063. "dur": 926,
  14064. "args": {
  14065. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  14066. "op": "Conv2DBackpropInput"
  14067. }
  14068. },
  14069. {
  14070. "ph": "X",
  14071. "cat": "Op",
  14072. "name": "Conv2DBackpropInput",
  14073. "pid": 11,
  14074. "tid": 0,
  14075. "ts": 1539815917093827,
  14076. "dur": 5,
  14077. "args": {
  14078. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  14079. "op": "Conv2DBackpropInput"
  14080. }
  14081. },
  14082. {
  14083. "ph": "X",
  14084. "cat": "Op",
  14085. "name": "Conv2DBackpropInput",
  14086. "pid": 11,
  14087. "tid": 0,
  14088. "ts": 1539815917093836,
  14089. "dur": 429,
  14090. "args": {
  14091. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  14092. "op": "Conv2DBackpropInput"
  14093. }
  14094. },
  14095. {
  14096. "ph": "X",
  14097. "cat": "Op",
  14098. "name": "Conv2DBackpropInput",
  14099. "pid": 11,
  14100. "tid": 0,
  14101. "ts": 1539815917094269,
  14102. "dur": 16,
  14103. "args": {
  14104. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  14105. "op": "Conv2DBackpropInput"
  14106. }
  14107. },
  14108. {
  14109. "ph": "X",
  14110. "cat": "Op",
  14111. "name": "Conv2DBackpropInput",
  14112. "pid": 11,
  14113. "tid": 0,
  14114. "ts": 1539815917094328,
  14115. "dur": 914,
  14116. "args": {
  14117. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  14118. "op": "Conv2DBackpropInput"
  14119. }
  14120. },
  14121. {
  14122. "ph": "X",
  14123. "cat": "Op",
  14124. "name": "Conv2DBackpropInput",
  14125. "pid": 11,
  14126. "tid": 0,
  14127. "ts": 1539815917095246,
  14128. "dur": 5,
  14129. "args": {
  14130. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  14131. "op": "Conv2DBackpropInput"
  14132. }
  14133. },
  14134. {
  14135. "ph": "X",
  14136. "cat": "Op",
  14137. "name": "Conv2DBackpropInput",
  14138. "pid": 11,
  14139. "tid": 0,
  14140. "ts": 1539815917095254,
  14141. "dur": 428,
  14142. "args": {
  14143. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  14144. "op": "Conv2DBackpropInput"
  14145. }
  14146. },
  14147. {
  14148. "ph": "X",
  14149. "cat": "Op",
  14150. "name": "Conv2DBackpropInput",
  14151. "pid": 11,
  14152. "tid": 0,
  14153. "ts": 1539815917095686,
  14154. "dur": 16,
  14155. "args": {
  14156. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  14157. "op": "Conv2DBackpropInput"
  14158. }
  14159. },
  14160. {
  14161. "ph": "X",
  14162. "cat": "Op",
  14163. "name": "Conv2DBackpropInput",
  14164. "pid": 11,
  14165. "tid": 0,
  14166. "ts": 1539815917095743,
  14167. "dur": 4,
  14168. "args": {
  14169. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  14170. "op": "Conv2DBackpropInput"
  14171. }
  14172. },
  14173. {
  14174. "ph": "X",
  14175. "cat": "Op",
  14176. "name": "Conv2DBackpropInput",
  14177. "pid": 11,
  14178. "tid": 0,
  14179. "ts": 1539815917095767,
  14180. "dur": 215,
  14181. "args": {
  14182. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  14183. "op": "Conv2DBackpropInput"
  14184. }
  14185. },
  14186. {
  14187. "ph": "X",
  14188. "cat": "Op",
  14189. "name": "FusedBatchNormGrad",
  14190. "pid": 11,
  14191. "tid": 0,
  14192. "ts": 1539815917095985,
  14193. "dur": 3,
  14194. "args": {
  14195. "name": "training/TFOptimizer/gradients/batch_normalization/FusedBatchNorm_grad/FusedBatchNormGrad",
  14196. "op": "FusedBatchNormGrad"
  14197. }
  14198. },
  14199. {
  14200. "ph": "X",
  14201. "cat": "Op",
  14202. "name": "FusedBatchNormGrad",
  14203. "pid": 11,
  14204. "tid": 0,
  14205. "ts": 1539815917095992,
  14206. "dur": 2,
  14207. "args": {
  14208. "name": "training/TFOptimizer/gradients/batch_normalization/FusedBatchNorm_grad/FusedBatchNormGrad",
  14209. "op": "FusedBatchNormGrad"
  14210. }
  14211. },
  14212. {
  14213. "ph": "X",
  14214. "cat": "Op",
  14215. "name": "FusedBatchNormGrad",
  14216. "pid": 11,
  14217. "tid": 0,
  14218. "ts": 1539815917095997,
  14219. "dur": 154,
  14220. "args": {
  14221. "name": "training/TFOptimizer/gradients/batch_normalization/FusedBatchNorm_grad/FusedBatchNormGrad",
  14222. "op": "FusedBatchNormGrad"
  14223. }
  14224. },
  14225. {
  14226. "ph": "X",
  14227. "cat": "Op",
  14228. "name": "ConcatV2",
  14229. "pid": 11,
  14230. "tid": 0,
  14231. "ts": 1539815917096166,
  14232. "dur": 50,
  14233. "args": {
  14234. "name": "training/TFOptimizer/concat",
  14235. "op": "ConcatV2"
  14236. }
  14237. },
  14238. {
  14239. "ph": "X",
  14240. "cat": "Op",
  14241. "name": "SplitV",
  14242. "pid": 11,
  14243. "tid": 0,
  14244. "ts": 1539815917563893,
  14245. "dur": 4,
  14246. "args": {
  14247. "name": "training/TFOptimizer/split_4",
  14248. "op": "SplitV"
  14249. }
  14250. },
  14251. {
  14252. "ph": "X",
  14253. "cat": "Op",
  14254. "name": "SplitV",
  14255. "pid": 11,
  14256. "tid": 0,
  14257. "ts": 1539815917563910,
  14258. "dur": 3,
  14259. "args": {
  14260. "name": "training/TFOptimizer/split_4",
  14261. "op": "SplitV"
  14262. }
  14263. },
  14264. {
  14265. "ph": "X",
  14266. "cat": "Op",
  14267. "name": "SplitV",
  14268. "pid": 11,
  14269. "tid": 0,
  14270. "ts": 1539815917563923,
  14271. "dur": 4,
  14272. "args": {
  14273. "name": "training/TFOptimizer/split_4",
  14274. "op": "SplitV"
  14275. }
  14276. },
  14277. {
  14278. "ph": "X",
  14279. "cat": "Op",
  14280. "name": "SplitV",
  14281. "pid": 11,
  14282. "tid": 0,
  14283. "ts": 1539815917563934,
  14284. "dur": 3,
  14285. "args": {
  14286. "name": "training/TFOptimizer/split_4",
  14287. "op": "SplitV"
  14288. }
  14289. },
  14290. {
  14291. "ph": "X",
  14292. "cat": "Op",
  14293. "name": "SplitV",
  14294. "pid": 11,
  14295. "tid": 0,
  14296. "ts": 1539815917563946,
  14297. "dur": 3,
  14298. "args": {
  14299. "name": "training/TFOptimizer/split_4",
  14300. "op": "SplitV"
  14301. }
  14302. },
  14303. {
  14304. "ph": "X",
  14305. "cat": "Op",
  14306. "name": "SplitV",
  14307. "pid": 11,
  14308. "tid": 0,
  14309. "ts": 1539815917563970,
  14310. "dur": 3,
  14311. "args": {
  14312. "name": "training/TFOptimizer/split_4",
  14313. "op": "SplitV"
  14314. }
  14315. },
  14316. {
  14317. "ph": "X",
  14318. "cat": "Op",
  14319. "name": "SplitV",
  14320. "pid": 11,
  14321. "tid": 0,
  14322. "ts": 1539815917563982,
  14323. "dur": 4,
  14324. "args": {
  14325. "name": "training/TFOptimizer/split_4",
  14326. "op": "SplitV"
  14327. }
  14328. },
  14329. {
  14330. "ph": "X",
  14331. "cat": "Op",
  14332. "name": "SplitV",
  14333. "pid": 11,
  14334. "tid": 0,
  14335. "ts": 1539815917563994,
  14336. "dur": 3,
  14337. "args": {
  14338. "name": "training/TFOptimizer/split_4",
  14339. "op": "SplitV"
  14340. }
  14341. },
  14342. {
  14343. "ph": "X",
  14344. "cat": "Op",
  14345. "name": "SplitV",
  14346. "pid": 11,
  14347. "tid": 0,
  14348. "ts": 1539815917564007,
  14349. "dur": 3,
  14350. "args": {
  14351. "name": "training/TFOptimizer/split_4",
  14352. "op": "SplitV"
  14353. }
  14354. },
  14355. {
  14356. "ph": "X",
  14357. "cat": "Op",
  14358. "name": "SplitV",
  14359. "pid": 11,
  14360. "tid": 0,
  14361. "ts": 1539815917564017,
  14362. "dur": 3,
  14363. "args": {
  14364. "name": "training/TFOptimizer/split_4",
  14365. "op": "SplitV"
  14366. }
  14367. },
  14368. {
  14369. "ph": "X",
  14370. "cat": "Op",
  14371. "name": "SplitV",
  14372. "pid": 11,
  14373. "tid": 0,
  14374. "ts": 1539815917564037,
  14375. "dur": 13,
  14376. "args": {
  14377. "name": "training/TFOptimizer/split_4",
  14378. "op": "SplitV"
  14379. }
  14380. },
  14381. {
  14382. "ph": "X",
  14383. "cat": "Op",
  14384. "name": "SplitV",
  14385. "pid": 11,
  14386. "tid": 0,
  14387. "ts": 1539815917564054,
  14388. "dur": 3,
  14389. "args": {
  14390. "name": "training/TFOptimizer/split_4",
  14391. "op": "SplitV"
  14392. }
  14393. },
  14394. {
  14395. "ph": "X",
  14396. "cat": "Op",
  14397. "name": "SplitV",
  14398. "pid": 11,
  14399. "tid": 0,
  14400. "ts": 1539815917564066,
  14401. "dur": 9,
  14402. "args": {
  14403. "name": "training/TFOptimizer/split_4",
  14404. "op": "SplitV"
  14405. }
  14406. },
  14407. {
  14408. "ph": "X",
  14409. "cat": "Op",
  14410. "name": "SplitV",
  14411. "pid": 11,
  14412. "tid": 0,
  14413. "ts": 1539815917564078,
  14414. "dur": 4,
  14415. "args": {
  14416. "name": "training/TFOptimizer/split_4",
  14417. "op": "SplitV"
  14418. }
  14419. },
  14420. {
  14421. "ph": "X",
  14422. "cat": "Op",
  14423. "name": "SplitV",
  14424. "pid": 11,
  14425. "tid": 0,
  14426. "ts": 1539815917564154,
  14427. "dur": 3,
  14428. "args": {
  14429. "name": "training/TFOptimizer/split_4",
  14430. "op": "SplitV"
  14431. }
  14432. },
  14433. {
  14434. "ph": "X",
  14435. "cat": "Op",
  14436. "name": "SplitV",
  14437. "pid": 11,
  14438. "tid": 0,
  14439. "ts": 1539815917564165,
  14440. "dur": 3,
  14441. "args": {
  14442. "name": "training/TFOptimizer/split_4",
  14443. "op": "SplitV"
  14444. }
  14445. },
  14446. {
  14447. "ph": "X",
  14448. "cat": "Op",
  14449. "name": "ResourceApplyAdam",
  14450. "pid": 11,
  14451. "tid": 0,
  14452. "ts": 1539815917568297,
  14453. "dur": 4,
  14454. "args": {
  14455. "name": "training/TFOptimizer/Adam/update_0/update_batch_normalization/gamma/ResourceApplyAdam",
  14456. "op": "ResourceApplyAdam"
  14457. }
  14458. },
  14459. {
  14460. "ph": "X",
  14461. "cat": "Op",
  14462. "name": "ResourceApplyAdam",
  14463. "pid": 11,
  14464. "tid": 0,
  14465. "ts": 1539815917568308,
  14466. "dur": 4,
  14467. "args": {
  14468. "name": "training/TFOptimizer/Adam/update_0/update_batch_normalization/gamma/ResourceApplyAdam",
  14469. "op": "ResourceApplyAdam"
  14470. }
  14471. },
  14472. {
  14473. "ph": "X",
  14474. "cat": "Op",
  14475. "name": "ResourceApplyAdam",
  14476. "pid": 11,
  14477. "tid": 0,
  14478. "ts": 1539815917568322,
  14479. "dur": 5,
  14480. "args": {
  14481. "name": "training/TFOptimizer/Adam/update_0/update_batch_normalization/gamma/ResourceApplyAdam",
  14482. "op": "ResourceApplyAdam"
  14483. }
  14484. },
  14485. {
  14486. "ph": "X",
  14487. "cat": "Op",
  14488. "name": "ResourceApplyAdam",
  14489. "pid": 11,
  14490. "tid": 0,
  14491. "ts": 1539815917568478,
  14492. "dur": 3,
  14493. "args": {
  14494. "name": "training/TFOptimizer/Adam/update_0_1/update_batch_normalization/beta/ResourceApplyAdam",
  14495. "op": "ResourceApplyAdam"
  14496. }
  14497. },
  14498. {
  14499. "ph": "X",
  14500. "cat": "Op",
  14501. "name": "ResourceApplyAdam",
  14502. "pid": 11,
  14503. "tid": 0,
  14504. "ts": 1539815917568495,
  14505. "dur": 3,
  14506. "args": {
  14507. "name": "training/TFOptimizer/Adam/update_0_1/update_batch_normalization/beta/ResourceApplyAdam",
  14508. "op": "ResourceApplyAdam"
  14509. }
  14510. },
  14511. {
  14512. "ph": "X",
  14513. "cat": "Op",
  14514. "name": "ResourceApplyAdam",
  14515. "pid": 11,
  14516. "tid": 0,
  14517. "ts": 1539815917568535,
  14518. "dur": 4,
  14519. "args": {
  14520. "name": "training/TFOptimizer/Adam/update_0_1/update_batch_normalization/beta/ResourceApplyAdam",
  14521. "op": "ResourceApplyAdam"
  14522. }
  14523. },
  14524. {
  14525. "ph": "X",
  14526. "cat": "Op",
  14527. "name": "ResourceApplyAdam",
  14528. "pid": 11,
  14529. "tid": 0,
  14530. "ts": 1539815917568639,
  14531. "dur": 3,
  14532. "args": {
  14533. "name": "training/TFOptimizer/Adam/update_0_11/update_conv2d_2/bias/ResourceApplyAdam",
  14534. "op": "ResourceApplyAdam"
  14535. }
  14536. },
  14537. {
  14538. "ph": "X",
  14539. "cat": "Op",
  14540. "name": "ResourceApplyAdam",
  14541. "pid": 11,
  14542. "tid": 0,
  14543. "ts": 1539815917568656,
  14544. "dur": 3,
  14545. "args": {
  14546. "name": "training/TFOptimizer/Adam/update_0_11/update_conv2d_2/bias/ResourceApplyAdam",
  14547. "op": "ResourceApplyAdam"
  14548. }
  14549. },
  14550. {
  14551. "ph": "X",
  14552. "cat": "Op",
  14553. "name": "ResourceApplyAdam",
  14554. "pid": 11,
  14555. "tid": 0,
  14556. "ts": 1539815917568677,
  14557. "dur": 5,
  14558. "args": {
  14559. "name": "training/TFOptimizer/Adam/update_0_11/update_conv2d_2/bias/ResourceApplyAdam",
  14560. "op": "ResourceApplyAdam"
  14561. }
  14562. },
  14563. {
  14564. "ph": "X",
  14565. "cat": "Op",
  14566. "name": "ResourceApplyAdam",
  14567. "pid": 11,
  14568. "tid": 0,
  14569. "ts": 1539815917568842,
  14570. "dur": 4,
  14571. "args": {
  14572. "name": "training/TFOptimizer/Adam/update_0_13/update_dense/bias/ResourceApplyAdam",
  14573. "op": "ResourceApplyAdam"
  14574. }
  14575. },
  14576. {
  14577. "ph": "X",
  14578. "cat": "Op",
  14579. "name": "ResourceApplyAdam",
  14580. "pid": 11,
  14581. "tid": 0,
  14582. "ts": 1539815917568853,
  14583. "dur": 4,
  14584. "args": {
  14585. "name": "training/TFOptimizer/Adam/update_0_13/update_dense/bias/ResourceApplyAdam",
  14586. "op": "ResourceApplyAdam"
  14587. }
  14588. },
  14589. {
  14590. "ph": "X",
  14591. "cat": "Op",
  14592. "name": "ResourceApplyAdam",
  14593. "pid": 11,
  14594. "tid": 0,
  14595. "ts": 1539815917568862,
  14596. "dur": 4,
  14597. "args": {
  14598. "name": "training/TFOptimizer/Adam/update_0_13/update_dense/bias/ResourceApplyAdam",
  14599. "op": "ResourceApplyAdam"
  14600. }
  14601. },
  14602. {
  14603. "ph": "X",
  14604. "cat": "Op",
  14605. "name": "ResourceApplyAdam",
  14606. "pid": 11,
  14607. "tid": 0,
  14608. "ts": 1539815917568951,
  14609. "dur": 3,
  14610. "args": {
  14611. "name": "training/TFOptimizer/Adam/update_0_15/update_dense_1/bias/ResourceApplyAdam",
  14612. "op": "ResourceApplyAdam"
  14613. }
  14614. },
  14615. {
  14616. "ph": "X",
  14617. "cat": "Op",
  14618. "name": "ResourceApplyAdam",
  14619. "pid": 11,
  14620. "tid": 0,
  14621. "ts": 1539815917568960,
  14622. "dur": 4,
  14623. "args": {
  14624. "name": "training/TFOptimizer/Adam/update_0_15/update_dense_1/bias/ResourceApplyAdam",
  14625. "op": "ResourceApplyAdam"
  14626. }
  14627. },
  14628. {
  14629. "ph": "X",
  14630. "cat": "Op",
  14631. "name": "ResourceApplyAdam",
  14632. "pid": 11,
  14633. "tid": 0,
  14634. "ts": 1539815917568970,
  14635. "dur": 6,
  14636. "args": {
  14637. "name": "training/TFOptimizer/Adam/update_0_15/update_dense_1/bias/ResourceApplyAdam",
  14638. "op": "ResourceApplyAdam"
  14639. }
  14640. },
  14641. {
  14642. "ph": "X",
  14643. "cat": "Op",
  14644. "name": "ResourceApplyAdam",
  14645. "pid": 11,
  14646. "tid": 0,
  14647. "ts": 1539815917569116,
  14648. "dur": 4,
  14649. "args": {
  14650. "name": "training/TFOptimizer/Adam/update_0_3/update_conv2d/bias/ResourceApplyAdam",
  14651. "op": "ResourceApplyAdam"
  14652. }
  14653. },
  14654. {
  14655. "ph": "X",
  14656. "cat": "Op",
  14657. "name": "ResourceApplyAdam",
  14658. "pid": 11,
  14659. "tid": 0,
  14660. "ts": 1539815917569128,
  14661. "dur": 4,
  14662. "args": {
  14663. "name": "training/TFOptimizer/Adam/update_0_3/update_conv2d/bias/ResourceApplyAdam",
  14664. "op": "ResourceApplyAdam"
  14665. }
  14666. },
  14667. {
  14668. "ph": "X",
  14669. "cat": "Op",
  14670. "name": "ResourceApplyAdam",
  14671. "pid": 11,
  14672. "tid": 0,
  14673. "ts": 1539815917569170,
  14674. "dur": 4,
  14675. "args": {
  14676. "name": "training/TFOptimizer/Adam/update_0_3/update_conv2d/bias/ResourceApplyAdam",
  14677. "op": "ResourceApplyAdam"
  14678. }
  14679. },
  14680. {
  14681. "ph": "X",
  14682. "cat": "Op",
  14683. "name": "ResourceApplyAdam",
  14684. "pid": 11,
  14685. "tid": 0,
  14686. "ts": 1539815917569247,
  14687. "dur": 4,
  14688. "args": {
  14689. "name": "training/TFOptimizer/Adam/update_0_4/update_batch_normalization_1/gamma/ResourceApplyAdam",
  14690. "op": "ResourceApplyAdam"
  14691. }
  14692. },
  14693. {
  14694. "ph": "X",
  14695. "cat": "Op",
  14696. "name": "ResourceApplyAdam",
  14697. "pid": 11,
  14698. "tid": 0,
  14699. "ts": 1539815917569292,
  14700. "dur": 4,
  14701. "args": {
  14702. "name": "training/TFOptimizer/Adam/update_0_4/update_batch_normalization_1/gamma/ResourceApplyAdam",
  14703. "op": "ResourceApplyAdam"
  14704. }
  14705. },
  14706. {
  14707. "ph": "X",
  14708. "cat": "Op",
  14709. "name": "ResourceApplyAdam",
  14710. "pid": 11,
  14711. "tid": 0,
  14712. "ts": 1539815917569332,
  14713. "dur": 5,
  14714. "args": {
  14715. "name": "training/TFOptimizer/Adam/update_0_4/update_batch_normalization_1/gamma/ResourceApplyAdam",
  14716. "op": "ResourceApplyAdam"
  14717. }
  14718. },
  14719. {
  14720. "ph": "X",
  14721. "cat": "Op",
  14722. "name": "ResourceApplyAdam",
  14723. "pid": 11,
  14724. "tid": 0,
  14725. "ts": 1539815917569503,
  14726. "dur": 4,
  14727. "args": {
  14728. "name": "training/TFOptimizer/Adam/update_0_5/update_batch_normalization_1/beta/ResourceApplyAdam",
  14729. "op": "ResourceApplyAdam"
  14730. }
  14731. },
  14732. {
  14733. "ph": "X",
  14734. "cat": "Op",
  14735. "name": "ResourceApplyAdam",
  14736. "pid": 11,
  14737. "tid": 0,
  14738. "ts": 1539815917569515,
  14739. "dur": 3,
  14740. "args": {
  14741. "name": "training/TFOptimizer/Adam/update_0_5/update_batch_normalization_1/beta/ResourceApplyAdam",
  14742. "op": "ResourceApplyAdam"
  14743. }
  14744. },
  14745. {
  14746. "ph": "X",
  14747. "cat": "Op",
  14748. "name": "ResourceApplyAdam",
  14749. "pid": 11,
  14750. "tid": 0,
  14751. "ts": 1539815917569524,
  14752. "dur": 5,
  14753. "args": {
  14754. "name": "training/TFOptimizer/Adam/update_0_5/update_batch_normalization_1/beta/ResourceApplyAdam",
  14755. "op": "ResourceApplyAdam"
  14756. }
  14757. },
  14758. {
  14759. "ph": "X",
  14760. "cat": "Op",
  14761. "name": "ResourceApplyAdam",
  14762. "pid": 11,
  14763. "tid": 0,
  14764. "ts": 1539815917569685,
  14765. "dur": 3,
  14766. "args": {
  14767. "name": "training/TFOptimizer/Adam/update_0_7/update_conv2d_1/bias/ResourceApplyAdam",
  14768. "op": "ResourceApplyAdam"
  14769. }
  14770. },
  14771. {
  14772. "ph": "X",
  14773. "cat": "Op",
  14774. "name": "ResourceApplyAdam",
  14775. "pid": 11,
  14776. "tid": 0,
  14777. "ts": 1539815917569695,
  14778. "dur": 4,
  14779. "args": {
  14780. "name": "training/TFOptimizer/Adam/update_0_7/update_conv2d_1/bias/ResourceApplyAdam",
  14781. "op": "ResourceApplyAdam"
  14782. }
  14783. },
  14784. {
  14785. "ph": "X",
  14786. "cat": "Op",
  14787. "name": "ResourceApplyAdam",
  14788. "pid": 11,
  14789. "tid": 0,
  14790. "ts": 1539815917569705,
  14791. "dur": 5,
  14792. "args": {
  14793. "name": "training/TFOptimizer/Adam/update_0_7/update_conv2d_1/bias/ResourceApplyAdam",
  14794. "op": "ResourceApplyAdam"
  14795. }
  14796. },
  14797. {
  14798. "ph": "X",
  14799. "cat": "Op",
  14800. "name": "ResourceApplyAdam",
  14801. "pid": 11,
  14802. "tid": 0,
  14803. "ts": 1539815917569806,
  14804. "dur": 4,
  14805. "args": {
  14806. "name": "training/TFOptimizer/Adam/update_0_8/update_batch_normalization_2/gamma/ResourceApplyAdam",
  14807. "op": "ResourceApplyAdam"
  14808. }
  14809. },
  14810. {
  14811. "ph": "X",
  14812. "cat": "Op",
  14813. "name": "ResourceApplyAdam",
  14814. "pid": 11,
  14815. "tid": 0,
  14816. "ts": 1539815917569819,
  14817. "dur": 3,
  14818. "args": {
  14819. "name": "training/TFOptimizer/Adam/update_0_8/update_batch_normalization_2/gamma/ResourceApplyAdam",
  14820. "op": "ResourceApplyAdam"
  14821. }
  14822. },
  14823. {
  14824. "ph": "X",
  14825. "cat": "Op",
  14826. "name": "ResourceApplyAdam",
  14827. "pid": 11,
  14828. "tid": 0,
  14829. "ts": 1539815917569829,
  14830. "dur": 4,
  14831. "args": {
  14832. "name": "training/TFOptimizer/Adam/update_0_8/update_batch_normalization_2/gamma/ResourceApplyAdam",
  14833. "op": "ResourceApplyAdam"
  14834. }
  14835. },
  14836. {
  14837. "ph": "X",
  14838. "cat": "Op",
  14839. "name": "ResourceApplyAdam",
  14840. "pid": 11,
  14841. "tid": 0,
  14842. "ts": 1539815917569912,
  14843. "dur": 4,
  14844. "args": {
  14845. "name": "training/TFOptimizer/Adam/update_0_9/update_batch_normalization_2/beta/ResourceApplyAdam",
  14846. "op": "ResourceApplyAdam"
  14847. }
  14848. },
  14849. {
  14850. "ph": "X",
  14851. "cat": "Op",
  14852. "name": "ResourceApplyAdam",
  14853. "pid": 11,
  14854. "tid": 0,
  14855. "ts": 1539815917569965,
  14856. "dur": 4,
  14857. "args": {
  14858. "name": "training/TFOptimizer/Adam/update_0_9/update_batch_normalization_2/beta/ResourceApplyAdam",
  14859. "op": "ResourceApplyAdam"
  14860. }
  14861. },
  14862. {
  14863. "ph": "X",
  14864. "cat": "Op",
  14865. "name": "ResourceApplyAdam",
  14866. "pid": 11,
  14867. "tid": 0,
  14868. "ts": 1539815917569976,
  14869. "dur": 5,
  14870. "args": {
  14871. "name": "training/TFOptimizer/Adam/update_0_9/update_batch_normalization_2/beta/ResourceApplyAdam",
  14872. "op": "ResourceApplyAdam"
  14873. }
  14874. },
  14875. {
  14876. "ph": "X",
  14877. "cat": "Op",
  14878. "name": "ResourceApplyAdam",
  14879. "pid": 11,
  14880. "tid": 0,
  14881. "ts": 1539815917570075,
  14882. "dur": 16,
  14883. "args": {
  14884. "name": "training/TFOptimizer/Adam/update_0_10/update_conv2d_2/kernel/ResourceApplyAdam",
  14885. "op": "ResourceApplyAdam"
  14886. }
  14887. },
  14888. {
  14889. "ph": "X",
  14890. "cat": "Op",
  14891. "name": "ResourceApplyAdam",
  14892. "pid": 11,
  14893. "tid": 0,
  14894. "ts": 1539815917570094,
  14895. "dur": 15,
  14896. "args": {
  14897. "name": "training/TFOptimizer/Adam/update_0_10/update_conv2d_2/kernel/ResourceApplyAdam",
  14898. "op": "ResourceApplyAdam"
  14899. }
  14900. },
  14901. {
  14902. "ph": "X",
  14903. "cat": "Op",
  14904. "name": "ResourceApplyAdam",
  14905. "pid": 11,
  14906. "tid": 0,
  14907. "ts": 1539815917570113,
  14908. "dur": 21,
  14909. "args": {
  14910. "name": "training/TFOptimizer/Adam/update_0_10/update_conv2d_2/kernel/ResourceApplyAdam",
  14911. "op": "ResourceApplyAdam"
  14912. }
  14913. },
  14914. {
  14915. "ph": "X",
  14916. "cat": "Op",
  14917. "name": "ResourceApplyAdam",
  14918. "pid": 11,
  14919. "tid": 0,
  14920. "ts": 1539815917570225,
  14921. "dur": 12,
  14922. "args": {
  14923. "name": "training/TFOptimizer/Adam/update_0_12/update_dense/kernel/ResourceApplyAdam",
  14924. "op": "ResourceApplyAdam"
  14925. }
  14926. },
  14927. {
  14928. "ph": "X",
  14929. "cat": "Op",
  14930. "name": "ResourceApplyAdam",
  14931. "pid": 11,
  14932. "tid": 0,
  14933. "ts": 1539815917570241,
  14934. "dur": 10,
  14935. "args": {
  14936. "name": "training/TFOptimizer/Adam/update_0_12/update_dense/kernel/ResourceApplyAdam",
  14937. "op": "ResourceApplyAdam"
  14938. }
  14939. },
  14940. {
  14941. "ph": "X",
  14942. "cat": "Op",
  14943. "name": "ResourceApplyAdam",
  14944. "pid": 11,
  14945. "tid": 0,
  14946. "ts": 1539815917570254,
  14947. "dur": 14,
  14948. "args": {
  14949. "name": "training/TFOptimizer/Adam/update_0_12/update_dense/kernel/ResourceApplyAdam",
  14950. "op": "ResourceApplyAdam"
  14951. }
  14952. },
  14953. {
  14954. "ph": "X",
  14955. "cat": "Op",
  14956. "name": "ResourceApplyAdam",
  14957. "pid": 11,
  14958. "tid": 0,
  14959. "ts": 1539815917570365,
  14960. "dur": 4,
  14961. "args": {
  14962. "name": "training/TFOptimizer/Adam/update_0_14/update_dense_1/kernel/ResourceApplyAdam",
  14963. "op": "ResourceApplyAdam"
  14964. }
  14965. },
  14966. {
  14967. "ph": "X",
  14968. "cat": "Op",
  14969. "name": "ResourceApplyAdam",
  14970. "pid": 11,
  14971. "tid": 0,
  14972. "ts": 1539815917570376,
  14973. "dur": 5,
  14974. "args": {
  14975. "name": "training/TFOptimizer/Adam/update_0_14/update_dense_1/kernel/ResourceApplyAdam",
  14976. "op": "ResourceApplyAdam"
  14977. }
  14978. },
  14979. {
  14980. "ph": "X",
  14981. "cat": "Op",
  14982. "name": "ResourceApplyAdam",
  14983. "pid": 11,
  14984. "tid": 0,
  14985. "ts": 1539815917570385,
  14986. "dur": 5,
  14987. "args": {
  14988. "name": "training/TFOptimizer/Adam/update_0_14/update_dense_1/kernel/ResourceApplyAdam",
  14989. "op": "ResourceApplyAdam"
  14990. }
  14991. },
  14992. {
  14993. "ph": "X",
  14994. "cat": "Op",
  14995. "name": "ResourceApplyAdam",
  14996. "pid": 11,
  14997. "tid": 0,
  14998. "ts": 1539815917570505,
  14999. "dur": 4,
  15000. "args": {
  15001. "name": "training/TFOptimizer/Adam/update_0_2/update_conv2d/kernel/ResourceApplyAdam",
  15002. "op": "ResourceApplyAdam"
  15003. }
  15004. },
  15005. {
  15006. "ph": "X",
  15007. "cat": "Op",
  15008. "name": "ResourceApplyAdam",
  15009. "pid": 11,
  15010. "tid": 0,
  15011. "ts": 1539815917570516,
  15012. "dur": 3,
  15013. "args": {
  15014. "name": "training/TFOptimizer/Adam/update_0_2/update_conv2d/kernel/ResourceApplyAdam",
  15015. "op": "ResourceApplyAdam"
  15016. }
  15017. },
  15018. {
  15019. "ph": "X",
  15020. "cat": "Op",
  15021. "name": "ResourceApplyAdam",
  15022. "pid": 11,
  15023. "tid": 0,
  15024. "ts": 1539815917570524,
  15025. "dur": 5,
  15026. "args": {
  15027. "name": "training/TFOptimizer/Adam/update_0_2/update_conv2d/kernel/ResourceApplyAdam",
  15028. "op": "ResourceApplyAdam"
  15029. }
  15030. },
  15031. {
  15032. "ph": "X",
  15033. "cat": "Op",
  15034. "name": "ResourceApplyAdam",
  15035. "pid": 11,
  15036. "tid": 0,
  15037. "ts": 1539815917570597,
  15038. "dur": 6,
  15039. "args": {
  15040. "name": "training/TFOptimizer/Adam/update_0_6/update_conv2d_1/kernel/ResourceApplyAdam",
  15041. "op": "ResourceApplyAdam"
  15042. }
  15043. },
  15044. {
  15045. "ph": "X",
  15046. "cat": "Op",
  15047. "name": "ResourceApplyAdam",
  15048. "pid": 11,
  15049. "tid": 0,
  15050. "ts": 1539815917570606,
  15051. "dur": 5,
  15052. "args": {
  15053. "name": "training/TFOptimizer/Adam/update_0_6/update_conv2d_1/kernel/ResourceApplyAdam",
  15054. "op": "ResourceApplyAdam"
  15055. }
  15056. },
  15057. {
  15058. "ph": "X",
  15059. "cat": "Op",
  15060. "name": "ResourceApplyAdam",
  15061. "pid": 11,
  15062. "tid": 0,
  15063. "ts": 1539815917570616,
  15064. "dur": 8,
  15065. "args": {
  15066. "name": "training/TFOptimizer/Adam/update_0_6/update_conv2d_1/kernel/ResourceApplyAdam",
  15067. "op": "ResourceApplyAdam"
  15068. }
  15069. },
  15070. {
  15071. "ph": "X",
  15072. "cat": "Op",
  15073. "name": "Mul",
  15074. "pid": 11,
  15075. "tid": 0,
  15076. "ts": 1539815917571141,
  15077. "dur": 4,
  15078. "args": {
  15079. "name": "training/TFOptimizer/Adam/update_0_16/mul",
  15080. "op": "Mul"
  15081. }
  15082. },
  15083. {
  15084. "ph": "X",
  15085. "cat": "Op",
  15086. "name": "Mul",
  15087. "pid": 11,
  15088. "tid": 0,
  15089. "ts": 1539815917571170,
  15090. "dur": 2,
  15091. "args": {
  15092. "name": "training/TFOptimizer/Adam/update_0_16/mul_1",
  15093. "op": "Mul"
  15094. }
  15095. },
  15096. {
  15097. "ph": "X",
  15098. "cat": "Op",
  15099. "name": "AssignAddVariableOp",
  15100. "pid": 11,
  15101. "tid": 0,
  15102. "ts": 1539815917571545,
  15103. "dur": 3,
  15104. "args": {
  15105. "name": "training/TFOptimizer/Adam/update_0_17/AssignAddVariableOp",
  15106. "op": "AssignAddVariableOp"
  15107. }
  15108. },
  15109. {
  15110. "ph": "X",
  15111. "cat": "Op",
  15112. "name": "AssignSubVariableOp",
  15113. "pid": 11,
  15114. "tid": 1,
  15115. "ts": 1539815916913168,
  15116. "dur": 2,
  15117. "args": {
  15118. "name": "batch_normalization/AssignMovingAvg/AssignSubVariableOp",
  15119. "op": "AssignSubVariableOp"
  15120. }
  15121. },
  15122. {
  15123. "ph": "X",
  15124. "cat": "Op",
  15125. "name": "AssignSubVariableOp",
  15126. "pid": 11,
  15127. "tid": 1,
  15128. "ts": 1539815916913225,
  15129. "dur": 1,
  15130. "args": {
  15131. "name": "batch_normalization/AssignMovingAvg_1/AssignSubVariableOp",
  15132. "op": "AssignSubVariableOp"
  15133. }
  15134. },
  15135. {
  15136. "ph": "X",
  15137. "cat": "Op",
  15138. "name": "AssignSubVariableOp",
  15139. "pid": 11,
  15140. "tid": 1,
  15141. "ts": 1539815916939461,
  15142. "dur": 2,
  15143. "args": {
  15144. "name": "batch_normalization_1/AssignMovingAvg/AssignSubVariableOp",
  15145. "op": "AssignSubVariableOp"
  15146. }
  15147. },
  15148. {
  15149. "ph": "X",
  15150. "cat": "Op",
  15151. "name": "AssignSubVariableOp",
  15152. "pid": 11,
  15153. "tid": 1,
  15154. "ts": 1539815916939473,
  15155. "dur": 1,
  15156. "args": {
  15157. "name": "batch_normalization_1/AssignMovingAvg_1/AssignSubVariableOp",
  15158. "op": "AssignSubVariableOp"
  15159. }
  15160. },
  15161. {
  15162. "ph": "X",
  15163. "cat": "Op",
  15164. "name": "AssignSubVariableOp",
  15165. "pid": 11,
  15166. "tid": 1,
  15167. "ts": 1539815916964447,
  15168. "dur": 1,
  15169. "args": {
  15170. "name": "batch_normalization_2/AssignMovingAvg/AssignSubVariableOp",
  15171. "op": "AssignSubVariableOp"
  15172. }
  15173. },
  15174. {
  15175. "ph": "X",
  15176. "cat": "Op",
  15177. "name": "AssignSubVariableOp",
  15178. "pid": 11,
  15179. "tid": 1,
  15180. "ts": 1539815916964459,
  15181. "dur": 1,
  15182. "args": {
  15183. "name": "batch_normalization_2/AssignMovingAvg_1/AssignSubVariableOp",
  15184. "op": "AssignSubVariableOp"
  15185. }
  15186. },
  15187. {
  15188. "ph": "X",
  15189. "cat": "Op",
  15190. "name": "ConcatV2",
  15191. "pid": 11,
  15192. "tid": 1,
  15193. "ts": 1539815917096152,
  15194. "dur": 3,
  15195. "args": {
  15196. "name": "training/TFOptimizer/concat",
  15197. "op": "ConcatV2"
  15198. }
  15199. },
  15200. {
  15201. "ph": "X",
  15202. "cat": "Op",
  15203. "name": "ConcatV2",
  15204. "pid": 11,
  15205. "tid": 1,
  15206. "ts": 1539815917096157,
  15207. "dur": 2,
  15208. "args": {
  15209. "name": "training/TFOptimizer/concat",
  15210. "op": "ConcatV2"
  15211. }
  15212. },
  15213. {
  15214. "ph": "X",
  15215. "cat": "Op",
  15216. "name": "ResourceApplyAdam",
  15217. "pid": 11,
  15218. "tid": 1,
  15219. "ts": 1539815917568203,
  15220. "dur": 2,
  15221. "args": {
  15222. "name": "training/TFOptimizer/Adam/update_0/update_batch_normalization/gamma/ResourceApplyAdam",
  15223. "op": "ResourceApplyAdam"
  15224. }
  15225. },
  15226. {
  15227. "ph": "X",
  15228. "cat": "Op",
  15229. "name": "ResourceApplyAdam",
  15230. "pid": 11,
  15231. "tid": 1,
  15232. "ts": 1539815917568277,
  15233. "dur": 1,
  15234. "args": {
  15235. "name": "training/TFOptimizer/Adam/update_0/update_batch_normalization/gamma/ResourceApplyAdam",
  15236. "op": "ResourceApplyAdam"
  15237. }
  15238. },
  15239. {
  15240. "ph": "X",
  15241. "cat": "Op",
  15242. "name": "ResourceApplyAdam",
  15243. "pid": 11,
  15244. "tid": 1,
  15245. "ts": 1539815917568416,
  15246. "dur": 1,
  15247. "args": {
  15248. "name": "training/TFOptimizer/Adam/update_0_1/update_batch_normalization/beta/ResourceApplyAdam",
  15249. "op": "ResourceApplyAdam"
  15250. }
  15251. },
  15252. {
  15253. "ph": "X",
  15254. "cat": "Op",
  15255. "name": "ResourceApplyAdam",
  15256. "pid": 11,
  15257. "tid": 1,
  15258. "ts": 1539815917568463,
  15259. "dur": 1,
  15260. "args": {
  15261. "name": "training/TFOptimizer/Adam/update_0_1/update_batch_normalization/beta/ResourceApplyAdam",
  15262. "op": "ResourceApplyAdam"
  15263. }
  15264. },
  15265. {
  15266. "ph": "X",
  15267. "cat": "Op",
  15268. "name": "ResourceApplyAdam",
  15269. "pid": 11,
  15270. "tid": 1,
  15271. "ts": 1539815917568584,
  15272. "dur": 2,
  15273. "args": {
  15274. "name": "training/TFOptimizer/Adam/update_0_11/update_conv2d_2/bias/ResourceApplyAdam",
  15275. "op": "ResourceApplyAdam"
  15276. }
  15277. },
  15278. {
  15279. "ph": "X",
  15280. "cat": "Op",
  15281. "name": "ResourceApplyAdam",
  15282. "pid": 11,
  15283. "tid": 1,
  15284. "ts": 1539815917568602,
  15285. "dur": 2,
  15286. "args": {
  15287. "name": "training/TFOptimizer/Adam/update_0_11/update_conv2d_2/bias/ResourceApplyAdam",
  15288. "op": "ResourceApplyAdam"
  15289. }
  15290. },
  15291. {
  15292. "ph": "X",
  15293. "cat": "Op",
  15294. "name": "ResourceApplyAdam",
  15295. "pid": 11,
  15296. "tid": 1,
  15297. "ts": 1539815917568806,
  15298. "dur": 1,
  15299. "args": {
  15300. "name": "training/TFOptimizer/Adam/update_0_13/update_dense/bias/ResourceApplyAdam",
  15301. "op": "ResourceApplyAdam"
  15302. }
  15303. },
  15304. {
  15305. "ph": "X",
  15306. "cat": "Op",
  15307. "name": "ResourceApplyAdam",
  15308. "pid": 11,
  15309. "tid": 1,
  15310. "ts": 1539815917568826,
  15311. "dur": 2,
  15312. "args": {
  15313. "name": "training/TFOptimizer/Adam/update_0_13/update_dense/bias/ResourceApplyAdam",
  15314. "op": "ResourceApplyAdam"
  15315. }
  15316. },
  15317. {
  15318. "ph": "X",
  15319. "cat": "Op",
  15320. "name": "ResourceApplyAdam",
  15321. "pid": 11,
  15322. "tid": 1,
  15323. "ts": 1539815917568912,
  15324. "dur": 1,
  15325. "args": {
  15326. "name": "training/TFOptimizer/Adam/update_0_15/update_dense_1/bias/ResourceApplyAdam",
  15327. "op": "ResourceApplyAdam"
  15328. }
  15329. },
  15330. {
  15331. "ph": "X",
  15332. "cat": "Op",
  15333. "name": "ResourceApplyAdam",
  15334. "pid": 11,
  15335. "tid": 1,
  15336. "ts": 1539815917568936,
  15337. "dur": 1,
  15338. "args": {
  15339. "name": "training/TFOptimizer/Adam/update_0_15/update_dense_1/bias/ResourceApplyAdam",
  15340. "op": "ResourceApplyAdam"
  15341. }
  15342. },
  15343. {
  15344. "ph": "X",
  15345. "cat": "Op",
  15346. "name": "ResourceApplyAdam",
  15347. "pid": 11,
  15348. "tid": 1,
  15349. "ts": 1539815917569049,
  15350. "dur": 1,
  15351. "args": {
  15352. "name": "training/TFOptimizer/Adam/update_0_3/update_conv2d/bias/ResourceApplyAdam",
  15353. "op": "ResourceApplyAdam"
  15354. }
  15355. },
  15356. {
  15357. "ph": "X",
  15358. "cat": "Op",
  15359. "name": "ResourceApplyAdam",
  15360. "pid": 11,
  15361. "tid": 1,
  15362. "ts": 1539815917569101,
  15363. "dur": 1,
  15364. "args": {
  15365. "name": "training/TFOptimizer/Adam/update_0_3/update_conv2d/bias/ResourceApplyAdam",
  15366. "op": "ResourceApplyAdam"
  15367. }
  15368. },
  15369. {
  15370. "ph": "X",
  15371. "cat": "Op",
  15372. "name": "ResourceApplyAdam",
  15373. "pid": 11,
  15374. "tid": 1,
  15375. "ts": 1539815917569215,
  15376. "dur": 2,
  15377. "args": {
  15378. "name": "training/TFOptimizer/Adam/update_0_4/update_batch_normalization_1/gamma/ResourceApplyAdam",
  15379. "op": "ResourceApplyAdam"
  15380. }
  15381. },
  15382. {
  15383. "ph": "X",
  15384. "cat": "Op",
  15385. "name": "ResourceApplyAdam",
  15386. "pid": 11,
  15387. "tid": 1,
  15388. "ts": 1539815917569233,
  15389. "dur": 2,
  15390. "args": {
  15391. "name": "training/TFOptimizer/Adam/update_0_4/update_batch_normalization_1/gamma/ResourceApplyAdam",
  15392. "op": "ResourceApplyAdam"
  15393. }
  15394. },
  15395. {
  15396. "ph": "X",
  15397. "cat": "Op",
  15398. "name": "ResourceApplyAdam",
  15399. "pid": 11,
  15400. "tid": 1,
  15401. "ts": 1539815917569426,
  15402. "dur": 1,
  15403. "args": {
  15404. "name": "training/TFOptimizer/Adam/update_0_5/update_batch_normalization_1/beta/ResourceApplyAdam",
  15405. "op": "ResourceApplyAdam"
  15406. }
  15407. },
  15408. {
  15409. "ph": "X",
  15410. "cat": "Op",
  15411. "name": "ResourceApplyAdam",
  15412. "pid": 11,
  15413. "tid": 1,
  15414. "ts": 1539815917569446,
  15415. "dur": 1,
  15416. "args": {
  15417. "name": "training/TFOptimizer/Adam/update_0_5/update_batch_normalization_1/beta/ResourceApplyAdam",
  15418. "op": "ResourceApplyAdam"
  15419. }
  15420. },
  15421. {
  15422. "ph": "X",
  15423. "cat": "Op",
  15424. "name": "ResourceApplyAdam",
  15425. "pid": 11,
  15426. "tid": 1,
  15427. "ts": 1539815917569592,
  15428. "dur": 1,
  15429. "args": {
  15430. "name": "training/TFOptimizer/Adam/update_0_7/update_conv2d_1/bias/ResourceApplyAdam",
  15431. "op": "ResourceApplyAdam"
  15432. }
  15433. },
  15434. {
  15435. "ph": "X",
  15436. "cat": "Op",
  15437. "name": "ResourceApplyAdam",
  15438. "pid": 11,
  15439. "tid": 1,
  15440. "ts": 1539815917569652,
  15441. "dur": 1,
  15442. "args": {
  15443. "name": "training/TFOptimizer/Adam/update_0_7/update_conv2d_1/bias/ResourceApplyAdam",
  15444. "op": "ResourceApplyAdam"
  15445. }
  15446. },
  15447. {
  15448. "ph": "X",
  15449. "cat": "Op",
  15450. "name": "ResourceApplyAdam",
  15451. "pid": 11,
  15452. "tid": 1,
  15453. "ts": 1539815917569749,
  15454. "dur": 2,
  15455. "args": {
  15456. "name": "training/TFOptimizer/Adam/update_0_8/update_batch_normalization_2/gamma/ResourceApplyAdam",
  15457. "op": "ResourceApplyAdam"
  15458. }
  15459. },
  15460. {
  15461. "ph": "X",
  15462. "cat": "Op",
  15463. "name": "ResourceApplyAdam",
  15464. "pid": 11,
  15465. "tid": 1,
  15466. "ts": 1539815917569768,
  15467. "dur": 2,
  15468. "args": {
  15469. "name": "training/TFOptimizer/Adam/update_0_8/update_batch_normalization_2/gamma/ResourceApplyAdam",
  15470. "op": "ResourceApplyAdam"
  15471. }
  15472. },
  15473. {
  15474. "ph": "X",
  15475. "cat": "Op",
  15476. "name": "ResourceApplyAdam",
  15477. "pid": 11,
  15478. "tid": 1,
  15479. "ts": 1539815917569879,
  15480. "dur": 1,
  15481. "args": {
  15482. "name": "training/TFOptimizer/Adam/update_0_9/update_batch_normalization_2/beta/ResourceApplyAdam",
  15483. "op": "ResourceApplyAdam"
  15484. }
  15485. },
  15486. {
  15487. "ph": "X",
  15488. "cat": "Op",
  15489. "name": "ResourceApplyAdam",
  15490. "pid": 11,
  15491. "tid": 1,
  15492. "ts": 1539815917569898,
  15493. "dur": 1,
  15494. "args": {
  15495. "name": "training/TFOptimizer/Adam/update_0_9/update_batch_normalization_2/beta/ResourceApplyAdam",
  15496. "op": "ResourceApplyAdam"
  15497. }
  15498. },
  15499. {
  15500. "ph": "X",
  15501. "cat": "Op",
  15502. "name": "ResourceApplyAdam",
  15503. "pid": 11,
  15504. "tid": 1,
  15505. "ts": 1539815917570030,
  15506. "dur": 1,
  15507. "args": {
  15508. "name": "training/TFOptimizer/Adam/update_0_10/update_conv2d_2/kernel/ResourceApplyAdam",
  15509. "op": "ResourceApplyAdam"
  15510. }
  15511. },
  15512. {
  15513. "ph": "X",
  15514. "cat": "Op",
  15515. "name": "ResourceApplyAdam",
  15516. "pid": 11,
  15517. "tid": 1,
  15518. "ts": 1539815917570049,
  15519. "dur": 2,
  15520. "args": {
  15521. "name": "training/TFOptimizer/Adam/update_0_10/update_conv2d_2/kernel/ResourceApplyAdam",
  15522. "op": "ResourceApplyAdam"
  15523. }
  15524. },
  15525. {
  15526. "ph": "X",
  15527. "cat": "Op",
  15528. "name": "ResourceApplyAdam",
  15529. "pid": 11,
  15530. "tid": 1,
  15531. "ts": 1539815917570142,
  15532. "dur": 2,
  15533. "args": {
  15534. "name": "training/TFOptimizer/Adam/update_0_12/update_dense/kernel/ResourceApplyAdam",
  15535. "op": "ResourceApplyAdam"
  15536. }
  15537. },
  15538. {
  15539. "ph": "X",
  15540. "cat": "Op",
  15541. "name": "ResourceApplyAdam",
  15542. "pid": 11,
  15543. "tid": 1,
  15544. "ts": 1539815917570190,
  15545. "dur": 1,
  15546. "args": {
  15547. "name": "training/TFOptimizer/Adam/update_0_12/update_dense/kernel/ResourceApplyAdam",
  15548. "op": "ResourceApplyAdam"
  15549. }
  15550. },
  15551. {
  15552. "ph": "X",
  15553. "cat": "Op",
  15554. "name": "ResourceApplyAdam",
  15555. "pid": 11,
  15556. "tid": 1,
  15557. "ts": 1539815917570305,
  15558. "dur": 1,
  15559. "args": {
  15560. "name": "training/TFOptimizer/Adam/update_0_14/update_dense_1/kernel/ResourceApplyAdam",
  15561. "op": "ResourceApplyAdam"
  15562. }
  15563. },
  15564. {
  15565. "ph": "X",
  15566. "cat": "Op",
  15567. "name": "ResourceApplyAdam",
  15568. "pid": 11,
  15569. "tid": 1,
  15570. "ts": 1539815917570350,
  15571. "dur": 1,
  15572. "args": {
  15573. "name": "training/TFOptimizer/Adam/update_0_14/update_dense_1/kernel/ResourceApplyAdam",
  15574. "op": "ResourceApplyAdam"
  15575. }
  15576. },
  15577. {
  15578. "ph": "X",
  15579. "cat": "Op",
  15580. "name": "ResourceApplyAdam",
  15581. "pid": 11,
  15582. "tid": 1,
  15583. "ts": 1539815917570447,
  15584. "dur": 2,
  15585. "args": {
  15586. "name": "training/TFOptimizer/Adam/update_0_2/update_conv2d/kernel/ResourceApplyAdam",
  15587. "op": "ResourceApplyAdam"
  15588. }
  15589. },
  15590. {
  15591. "ph": "X",
  15592. "cat": "Op",
  15593. "name": "ResourceApplyAdam",
  15594. "pid": 11,
  15595. "tid": 1,
  15596. "ts": 1539815917570490,
  15597. "dur": 1,
  15598. "args": {
  15599. "name": "training/TFOptimizer/Adam/update_0_2/update_conv2d/kernel/ResourceApplyAdam",
  15600. "op": "ResourceApplyAdam"
  15601. }
  15602. },
  15603. {
  15604. "ph": "X",
  15605. "cat": "Op",
  15606. "name": "ResourceApplyAdam",
  15607. "pid": 11,
  15608. "tid": 1,
  15609. "ts": 1539815917570567,
  15610. "dur": 1,
  15611. "args": {
  15612. "name": "training/TFOptimizer/Adam/update_0_6/update_conv2d_1/kernel/ResourceApplyAdam",
  15613. "op": "ResourceApplyAdam"
  15614. }
  15615. },
  15616. {
  15617. "ph": "X",
  15618. "cat": "Op",
  15619. "name": "ResourceApplyAdam",
  15620. "pid": 11,
  15621. "tid": 1,
  15622. "ts": 1539815917570584,
  15623. "dur": 2,
  15624. "args": {
  15625. "name": "training/TFOptimizer/Adam/update_0_6/update_conv2d_1/kernel/ResourceApplyAdam",
  15626. "op": "ResourceApplyAdam"
  15627. }
  15628. },
  15629. {
  15630. "ph": "X",
  15631. "cat": "Op",
  15632. "name": "AssignAddVariableOp",
  15633. "pid": 11,
  15634. "tid": 1,
  15635. "ts": 1539815917571500,
  15636. "dur": 2,
  15637. "args": {
  15638. "name": "training/TFOptimizer/Adam/update_0_17/AssignAddVariableOp",
  15639. "op": "AssignAddVariableOp"
  15640. }
  15641. },
  15642. {
  15643. "ph": "X",
  15644. "cat": "Op",
  15645. "name": "Conv2D",
  15646. "pid": 13,
  15647. "tid": 0,
  15648. "ts": 1539815916904602,
  15649. "dur": 22,
  15650. "args": {
  15651. "name": "tower_3/conv2d/Conv2D",
  15652. "op": "Conv2D"
  15653. }
  15654. },
  15655. {
  15656. "ph": "X",
  15657. "cat": "Op",
  15658. "name": "Conv2D",
  15659. "pid": 13,
  15660. "tid": 0,
  15661. "ts": 1539815916905792,
  15662. "dur": 21,
  15663. "args": {
  15664. "name": "tower_3/conv2d/Conv2D",
  15665. "op": "Conv2D"
  15666. }
  15667. },
  15668. {
  15669. "ph": "X",
  15670. "cat": "Op",
  15671. "name": "Conv2D",
  15672. "pid": 13,
  15673. "tid": 0,
  15674. "ts": 1539815916906229,
  15675. "dur": 21,
  15676. "args": {
  15677. "name": "tower_3/conv2d/Conv2D",
  15678. "op": "Conv2D"
  15679. }
  15680. },
  15681. {
  15682. "ph": "X",
  15683. "cat": "Op",
  15684. "name": "Conv2D",
  15685. "pid": 13,
  15686. "tid": 0,
  15687. "ts": 1539815916906941,
  15688. "dur": 111,
  15689. "args": {
  15690. "name": "tower_3/conv2d/Conv2D",
  15691. "op": "Conv2D"
  15692. }
  15693. },
  15694. {
  15695. "ph": "X",
  15696. "cat": "Op",
  15697. "name": "Conv2D",
  15698. "pid": 13,
  15699. "tid": 0,
  15700. "ts": 1539815916907055,
  15701. "dur": 187,
  15702. "args": {
  15703. "name": "tower_3/conv2d/Conv2D",
  15704. "op": "Conv2D"
  15705. }
  15706. },
  15707. {
  15708. "ph": "X",
  15709. "cat": "Op",
  15710. "name": "Conv2D",
  15711. "pid": 13,
  15712. "tid": 0,
  15713. "ts": 1539815916907364,
  15714. "dur": 22,
  15715. "args": {
  15716. "name": "tower_3/conv2d/Conv2D",
  15717. "op": "Conv2D"
  15718. }
  15719. },
  15720. {
  15721. "ph": "X",
  15722. "cat": "Op",
  15723. "name": "Conv2D",
  15724. "pid": 13,
  15725. "tid": 0,
  15726. "ts": 1539815916907397,
  15727. "dur": 114,
  15728. "args": {
  15729. "name": "tower_3/conv2d/Conv2D",
  15730. "op": "Conv2D"
  15731. }
  15732. },
  15733. {
  15734. "ph": "X",
  15735. "cat": "Op",
  15736. "name": "Conv2D",
  15737. "pid": 13,
  15738. "tid": 0,
  15739. "ts": 1539815916907515,
  15740. "dur": 188,
  15741. "args": {
  15742. "name": "tower_3/conv2d/Conv2D",
  15743. "op": "Conv2D"
  15744. }
  15745. },
  15746. {
  15747. "ph": "X",
  15748. "cat": "Op",
  15749. "name": "Conv2D",
  15750. "pid": 13,
  15751. "tid": 0,
  15752. "ts": 1539815916932310,
  15753. "dur": 161,
  15754. "args": {
  15755. "name": "tower_3/conv2d_1/Conv2D",
  15756. "op": "Conv2D"
  15757. }
  15758. },
  15759. {
  15760. "ph": "X",
  15761. "cat": "Op",
  15762. "name": "Conv2D",
  15763. "pid": 13,
  15764. "tid": 0,
  15765. "ts": 1539815916933648,
  15766. "dur": 167,
  15767. "args": {
  15768. "name": "tower_3/conv2d_1/Conv2D",
  15769. "op": "Conv2D"
  15770. }
  15771. },
  15772. {
  15773. "ph": "X",
  15774. "cat": "Op",
  15775. "name": "Conv2D",
  15776. "pid": 13,
  15777. "tid": 0,
  15778. "ts": 1539815916935007,
  15779. "dur": 163,
  15780. "args": {
  15781. "name": "tower_3/conv2d_1/Conv2D",
  15782. "op": "Conv2D"
  15783. }
  15784. },
  15785. {
  15786. "ph": "X",
  15787. "cat": "Op",
  15788. "name": "Conv2D",
  15789. "pid": 13,
  15790. "tid": 0,
  15791. "ts": 1539815916935180,
  15792. "dur": 646,
  15793. "args": {
  15794. "name": "tower_3/conv2d_1/Conv2D",
  15795. "op": "Conv2D"
  15796. }
  15797. },
  15798. {
  15799. "ph": "X",
  15800. "cat": "Op",
  15801. "name": "Conv2D",
  15802. "pid": 13,
  15803. "tid": 0,
  15804. "ts": 1539815916935829,
  15805. "dur": 258,
  15806. "args": {
  15807. "name": "tower_3/conv2d_1/Conv2D",
  15808. "op": "Conv2D"
  15809. }
  15810. },
  15811. {
  15812. "ph": "X",
  15813. "cat": "Op",
  15814. "name": "Conv2D",
  15815. "pid": 13,
  15816. "tid": 0,
  15817. "ts": 1539815916936215,
  15818. "dur": 166,
  15819. "args": {
  15820. "name": "tower_3/conv2d_1/Conv2D",
  15821. "op": "Conv2D"
  15822. }
  15823. },
  15824. {
  15825. "ph": "X",
  15826. "cat": "Op",
  15827. "name": "Conv2D",
  15828. "pid": 13,
  15829. "tid": 0,
  15830. "ts": 1539815916936390,
  15831. "dur": 644,
  15832. "args": {
  15833. "name": "tower_3/conv2d_1/Conv2D",
  15834. "op": "Conv2D"
  15835. }
  15836. },
  15837. {
  15838. "ph": "X",
  15839. "cat": "Op",
  15840. "name": "Conv2D",
  15841. "pid": 13,
  15842. "tid": 0,
  15843. "ts": 1539815916937037,
  15844. "dur": 259,
  15845. "args": {
  15846. "name": "tower_3/conv2d_1/Conv2D",
  15847. "op": "Conv2D"
  15848. }
  15849. },
  15850. {
  15851. "ph": "X",
  15852. "cat": "Op",
  15853. "name": "Conv2D",
  15854. "pid": 13,
  15855. "tid": 0,
  15856. "ts": 1539815916953104,
  15857. "dur": 71,
  15858. "args": {
  15859. "name": "tower_3/conv2d_2/Conv2D",
  15860. "op": "Conv2D"
  15861. }
  15862. },
  15863. {
  15864. "ph": "X",
  15865. "cat": "Op",
  15866. "name": "Conv2D",
  15867. "pid": 13,
  15868. "tid": 0,
  15869. "ts": 1539815916954298,
  15870. "dur": 71,
  15871. "args": {
  15872. "name": "tower_3/conv2d_2/Conv2D",
  15873. "op": "Conv2D"
  15874. }
  15875. },
  15876. {
  15877. "ph": "X",
  15878. "cat": "Op",
  15879. "name": "Conv2D",
  15880. "pid": 13,
  15881. "tid": 0,
  15882. "ts": 1539815916955696,
  15883. "dur": 255,
  15884. "args": {
  15885. "name": "tower_3/conv2d_2/Conv2D",
  15886. "op": "Conv2D"
  15887. }
  15888. },
  15889. {
  15890. "ph": "X",
  15891. "cat": "Op",
  15892. "name": "Conv2D",
  15893. "pid": 13,
  15894. "tid": 0,
  15895. "ts": 1539815916955961,
  15896. "dur": 2311,
  15897. "args": {
  15898. "name": "tower_3/conv2d_2/Conv2D",
  15899. "op": "Conv2D"
  15900. }
  15901. },
  15902. {
  15903. "ph": "X",
  15904. "cat": "Op",
  15905. "name": "Conv2D",
  15906. "pid": 13,
  15907. "tid": 0,
  15908. "ts": 1539815916958276,
  15909. "dur": 440,
  15910. "args": {
  15911. "name": "tower_3/conv2d_2/Conv2D",
  15912. "op": "Conv2D"
  15913. }
  15914. },
  15915. {
  15916. "ph": "X",
  15917. "cat": "Op",
  15918. "name": "Conv2D",
  15919. "pid": 13,
  15920. "tid": 0,
  15921. "ts": 1539815916959008,
  15922. "dur": 254,
  15923. "args": {
  15924. "name": "tower_3/conv2d_2/Conv2D",
  15925. "op": "Conv2D"
  15926. }
  15927. },
  15928. {
  15929. "ph": "X",
  15930. "cat": "Op",
  15931. "name": "Conv2D",
  15932. "pid": 13,
  15933. "tid": 0,
  15934. "ts": 1539815916959273,
  15935. "dur": 2303,
  15936. "args": {
  15937. "name": "tower_3/conv2d_2/Conv2D",
  15938. "op": "Conv2D"
  15939. }
  15940. },
  15941. {
  15942. "ph": "X",
  15943. "cat": "Op",
  15944. "name": "Conv2D",
  15945. "pid": 13,
  15946. "tid": 0,
  15947. "ts": 1539815916961581,
  15948. "dur": 444,
  15949. "args": {
  15950. "name": "tower_3/conv2d_2/Conv2D",
  15951. "op": "Conv2D"
  15952. }
  15953. },
  15954. {
  15955. "ph": "X",
  15956. "cat": "Op",
  15957. "name": "Conv2DBackpropFilter",
  15958. "pid": 13,
  15959. "tid": 0,
  15960. "ts": 1539815917006775,
  15961. "dur": 77,
  15962. "args": {
  15963. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  15964. "op": "Conv2DBackpropFilter"
  15965. }
  15966. },
  15967. {
  15968. "ph": "X",
  15969. "cat": "Op",
  15970. "name": "Conv2DBackpropFilter",
  15971. "pid": 13,
  15972. "tid": 0,
  15973. "ts": 1539815917008059,
  15974. "dur": 77,
  15975. "args": {
  15976. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  15977. "op": "Conv2DBackpropFilter"
  15978. }
  15979. },
  15980. {
  15981. "ph": "X",
  15982. "cat": "Op",
  15983. "name": "Conv2DBackpropInput",
  15984. "pid": 13,
  15985. "tid": 0,
  15986. "ts": 1539815917025526,
  15987. "dur": 127,
  15988. "args": {
  15989. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  15990. "op": "Conv2DBackpropInput"
  15991. }
  15992. },
  15993. {
  15994. "ph": "X",
  15995. "cat": "Op",
  15996. "name": "Conv2DBackpropInput",
  15997. "pid": 13,
  15998. "tid": 0,
  15999. "ts": 1539815917026667,
  16000. "dur": 129,
  16001. "args": {
  16002. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  16003. "op": "Conv2DBackpropInput"
  16004. }
  16005. },
  16006. {
  16007. "ph": "X",
  16008. "cat": "Op",
  16009. "name": "Conv2DBackpropInput",
  16010. "pid": 13,
  16011. "tid": 0,
  16012. "ts": 1539815917027965,
  16013. "dur": 487,
  16014. "args": {
  16015. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  16016. "op": "Conv2DBackpropInput"
  16017. }
  16018. },
  16019. {
  16020. "ph": "X",
  16021. "cat": "Op",
  16022. "name": "Conv2DBackpropInput",
  16023. "pid": 13,
  16024. "tid": 0,
  16025. "ts": 1539815917028461,
  16026. "dur": 2270,
  16027. "args": {
  16028. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  16029. "op": "Conv2DBackpropInput"
  16030. }
  16031. },
  16032. {
  16033. "ph": "X",
  16034. "cat": "Op",
  16035. "name": "Conv2DBackpropInput",
  16036. "pid": 13,
  16037. "tid": 0,
  16038. "ts": 1539815917030734,
  16039. "dur": 232,
  16040. "args": {
  16041. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  16042. "op": "Conv2DBackpropInput"
  16043. }
  16044. },
  16045. {
  16046. "ph": "X",
  16047. "cat": "Op",
  16048. "name": "Conv2DBackpropInput",
  16049. "pid": 13,
  16050. "tid": 0,
  16051. "ts": 1539815917031245,
  16052. "dur": 490,
  16053. "args": {
  16054. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  16055. "op": "Conv2DBackpropInput"
  16056. }
  16057. },
  16058. {
  16059. "ph": "X",
  16060. "cat": "Op",
  16061. "name": "Conv2DBackpropInput",
  16062. "pid": 13,
  16063. "tid": 0,
  16064. "ts": 1539815917031746,
  16065. "dur": 2264,
  16066. "args": {
  16067. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  16068. "op": "Conv2DBackpropInput"
  16069. }
  16070. },
  16071. {
  16072. "ph": "X",
  16073. "cat": "Op",
  16074. "name": "Conv2DBackpropInput",
  16075. "pid": 13,
  16076. "tid": 0,
  16077. "ts": 1539815917034013,
  16078. "dur": 235,
  16079. "args": {
  16080. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  16081. "op": "Conv2DBackpropInput"
  16082. }
  16083. },
  16084. {
  16085. "ph": "X",
  16086. "cat": "Op",
  16087. "name": "Conv2DBackpropFilter",
  16088. "pid": 13,
  16089. "tid": 0,
  16090. "ts": 1539815917045791,
  16091. "dur": 160,
  16092. "args": {
  16093. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  16094. "op": "Conv2DBackpropFilter"
  16095. }
  16096. },
  16097. {
  16098. "ph": "X",
  16099. "cat": "Op",
  16100. "name": "Conv2DBackpropFilter",
  16101. "pid": 13,
  16102. "tid": 0,
  16103. "ts": 1539815917047179,
  16104. "dur": 157,
  16105. "args": {
  16106. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  16107. "op": "Conv2DBackpropFilter"
  16108. }
  16109. },
  16110. {
  16111. "ph": "X",
  16112. "cat": "Op",
  16113. "name": "Conv2DBackpropInput",
  16114. "pid": 13,
  16115. "tid": 0,
  16116. "ts": 1539815917063212,
  16117. "dur": 289,
  16118. "args": {
  16119. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  16120. "op": "Conv2DBackpropInput"
  16121. }
  16122. },
  16123. {
  16124. "ph": "X",
  16125. "cat": "Op",
  16126. "name": "Conv2DBackpropInput",
  16127. "pid": 13,
  16128. "tid": 0,
  16129. "ts": 1539815917064433,
  16130. "dur": 304,
  16131. "args": {
  16132. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  16133. "op": "Conv2DBackpropInput"
  16134. }
  16135. },
  16136. {
  16137. "ph": "X",
  16138. "cat": "Op",
  16139. "name": "Conv2DBackpropInput",
  16140. "pid": 13,
  16141. "tid": 0,
  16142. "ts": 1539815917065695,
  16143. "dur": 302,
  16144. "args": {
  16145. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  16146. "op": "Conv2DBackpropInput"
  16147. }
  16148. },
  16149. {
  16150. "ph": "X",
  16151. "cat": "Op",
  16152. "name": "Conv2DBackpropInput",
  16153. "pid": 13,
  16154. "tid": 0,
  16155. "ts": 1539815917066008,
  16156. "dur": 544,
  16157. "args": {
  16158. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  16159. "op": "Conv2DBackpropInput"
  16160. }
  16161. },
  16162. {
  16163. "ph": "X",
  16164. "cat": "Op",
  16165. "name": "Conv2DBackpropInput",
  16166. "pid": 13,
  16167. "tid": 0,
  16168. "ts": 1539815917066555,
  16169. "dur": 140,
  16170. "args": {
  16171. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  16172. "op": "Conv2DBackpropInput"
  16173. }
  16174. },
  16175. {
  16176. "ph": "X",
  16177. "cat": "Op",
  16178. "name": "Conv2DBackpropInput",
  16179. "pid": 13,
  16180. "tid": 0,
  16181. "ts": 1539815917066820,
  16182. "dur": 304,
  16183. "args": {
  16184. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  16185. "op": "Conv2DBackpropInput"
  16186. }
  16187. },
  16188. {
  16189. "ph": "X",
  16190. "cat": "Op",
  16191. "name": "Conv2DBackpropInput",
  16192. "pid": 13,
  16193. "tid": 0,
  16194. "ts": 1539815917067134,
  16195. "dur": 544,
  16196. "args": {
  16197. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  16198. "op": "Conv2DBackpropInput"
  16199. }
  16200. },
  16201. {
  16202. "ph": "X",
  16203. "cat": "Op",
  16204. "name": "Conv2DBackpropInput",
  16205. "pid": 13,
  16206. "tid": 0,
  16207. "ts": 1539815917067682,
  16208. "dur": 141,
  16209. "args": {
  16210. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  16211. "op": "Conv2DBackpropInput"
  16212. }
  16213. },
  16214. {
  16215. "ph": "X",
  16216. "cat": "Op",
  16217. "name": "Conv2DBackpropFilter",
  16218. "pid": 13,
  16219. "tid": 0,
  16220. "ts": 1539815917074054,
  16221. "dur": 19,
  16222. "args": {
  16223. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  16224. "op": "Conv2DBackpropFilter"
  16225. }
  16226. },
  16227. {
  16228. "ph": "X",
  16229. "cat": "Op",
  16230. "name": "Conv2DBackpropFilter",
  16231. "pid": 13,
  16232. "tid": 0,
  16233. "ts": 1539815917075114,
  16234. "dur": 19,
  16235. "args": {
  16236. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  16237. "op": "Conv2DBackpropFilter"
  16238. }
  16239. },
  16240. {
  16241. "ph": "X",
  16242. "cat": "Op",
  16243. "name": "Conv2DBackpropInput",
  16244. "pid": 13,
  16245. "tid": 0,
  16246. "ts": 1539815917087365,
  16247. "dur": 186,
  16248. "args": {
  16249. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  16250. "op": "Conv2DBackpropInput"
  16251. }
  16252. },
  16253. {
  16254. "ph": "X",
  16255. "cat": "Op",
  16256. "name": "Conv2DBackpropInput",
  16257. "pid": 13,
  16258. "tid": 0,
  16259. "ts": 1539815917087982,
  16260. "dur": 189,
  16261. "args": {
  16262. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  16263. "op": "Conv2DBackpropInput"
  16264. }
  16265. },
  16266. {
  16267. "ph": "X",
  16268. "cat": "Op",
  16269. "name": "Conv2DBackpropInput",
  16270. "pid": 13,
  16271. "tid": 0,
  16272. "ts": 1539815917088603,
  16273. "dur": 190,
  16274. "args": {
  16275. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  16276. "op": "Conv2DBackpropInput"
  16277. }
  16278. },
  16279. {
  16280. "ph": "X",
  16281. "cat": "Op",
  16282. "name": "Conv2DBackpropInput",
  16283. "pid": 13,
  16284. "tid": 0,
  16285. "ts": 1539815917088803,
  16286. "dur": 264,
  16287. "args": {
  16288. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  16289. "op": "Conv2DBackpropInput"
  16290. }
  16291. },
  16292. {
  16293. "ph": "X",
  16294. "cat": "Op",
  16295. "name": "Conv2DBackpropInput",
  16296. "pid": 13,
  16297. "tid": 0,
  16298. "ts": 1539815917089070,
  16299. "dur": 18,
  16300. "args": {
  16301. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  16302. "op": "Conv2DBackpropInput"
  16303. }
  16304. },
  16305. {
  16306. "ph": "X",
  16307. "cat": "Op",
  16308. "name": "Conv2DBackpropInput",
  16309. "pid": 13,
  16310. "tid": 0,
  16311. "ts": 1539815917089156,
  16312. "dur": 195,
  16313. "args": {
  16314. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  16315. "op": "Conv2DBackpropInput"
  16316. }
  16317. },
  16318. {
  16319. "ph": "X",
  16320. "cat": "Op",
  16321. "name": "Conv2DBackpropInput",
  16322. "pid": 13,
  16323. "tid": 0,
  16324. "ts": 1539815917089360,
  16325. "dur": 262,
  16326. "args": {
  16327. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  16328. "op": "Conv2DBackpropInput"
  16329. }
  16330. },
  16331. {
  16332. "ph": "X",
  16333. "cat": "Op",
  16334. "name": "Conv2DBackpropInput",
  16335. "pid": 13,
  16336. "tid": 0,
  16337. "ts": 1539815917089625,
  16338. "dur": 18,
  16339. "args": {
  16340. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  16341. "op": "Conv2DBackpropInput"
  16342. }
  16343. },
  16344. {
  16345. "ph": "X",
  16346. "cat": "Op",
  16347. "name": "Cast",
  16348. "pid": 15,
  16349. "tid": 0,
  16350. "ts": 1539815912107268,
  16351. "dur": 5,
  16352. "args": {
  16353. "name": "Cast",
  16354. "op": "Cast"
  16355. }
  16356. },
  16357. {
  16358. "ph": "X",
  16359. "cat": "Op",
  16360. "name": "Cast",
  16361. "pid": 15,
  16362. "tid": 1,
  16363. "ts": 1539815912107269,
  16364. "dur": 7,
  16365. "args": {
  16366. "name": "tower_3/Cast",
  16367. "op": "Cast"
  16368. }
  16369. },
  16370. {
  16371. "ph": "X",
  16372. "cat": "Op",
  16373. "name": "Cast",
  16374. "pid": 15,
  16375. "tid": 2,
  16376. "ts": 1539815912107271,
  16377. "dur": 7,
  16378. "args": {
  16379. "name": "tower_1/Cast_1",
  16380. "op": "Cast"
  16381. }
  16382. },
  16383. {
  16384. "ph": "X",
  16385. "cat": "Op",
  16386. "name": "Cast",
  16387. "pid": 15,
  16388. "tid": 3,
  16389. "ts": 1539815912107271,
  16390. "dur": 8,
  16391. "args": {
  16392. "name": "tower_2/Cast",
  16393. "op": "Cast"
  16394. }
  16395. },
  16396. {
  16397. "ph": "X",
  16398. "cat": "Op",
  16399. "name": "Cast",
  16400. "pid": 15,
  16401. "tid": 0,
  16402. "ts": 1539815912107313,
  16403. "dur": 3,
  16404. "args": {
  16405. "name": "Cast_1",
  16406. "op": "Cast"
  16407. }
  16408. },
  16409. {
  16410. "ph": "X",
  16411. "cat": "Op",
  16412. "name": "Cast",
  16413. "pid": 15,
  16414. "tid": 0,
  16415. "ts": 1539815912107329,
  16416. "dur": 3,
  16417. "args": {
  16418. "name": "tower_3/Cast_1",
  16419. "op": "Cast"
  16420. }
  16421. },
  16422. {
  16423. "ph": "X",
  16424. "cat": "Op",
  16425. "name": "Cast",
  16426. "pid": 15,
  16427. "tid": 0,
  16428. "ts": 1539815912107356,
  16429. "dur": 7,
  16430. "args": {
  16431. "name": "tower_1/Cast",
  16432. "op": "Cast"
  16433. }
  16434. },
  16435. {
  16436. "ph": "X",
  16437. "cat": "Op",
  16438. "name": "Cast",
  16439. "pid": 15,
  16440. "tid": 0,
  16441. "ts": 1539815912107384,
  16442. "dur": 3,
  16443. "args": {
  16444. "name": "tower_2/Cast_1",
  16445. "op": "Cast"
  16446. }
  16447. },
  16448. {
  16449. "ph": "X",
  16450. "cat": "Op",
  16451. "name": "Cast",
  16452. "pid": 15,
  16453. "tid": 0,
  16454. "ts": 1539815912107420,
  16455. "dur": 4,
  16456. "args": {
  16457. "name": "loss/activation_1_loss/Cast",
  16458. "op": "Cast"
  16459. }
  16460. },
  16461. {
  16462. "ph": "X",
  16463. "cat": "Op",
  16464. "name": "Cast",
  16465. "pid": 15,
  16466. "tid": 0,
  16467. "ts": 1539815912107425,
  16468. "dur": 4,
  16469. "args": {
  16470. "name": "tower_1/loss/activation_1_loss/Cast",
  16471. "op": "Cast"
  16472. }
  16473. },
  16474. {
  16475. "ph": "X",
  16476. "cat": "Op",
  16477. "name": "Cast",
  16478. "pid": 15,
  16479. "tid": 0,
  16480. "ts": 1539815912107434,
  16481. "dur": 3,
  16482. "args": {
  16483. "name": "tower_3/loss/activation_1_loss/Cast",
  16484. "op": "Cast"
  16485. }
  16486. },
  16487. {
  16488. "ph": "X",
  16489. "cat": "Op",
  16490. "name": "Cast",
  16491. "pid": 15,
  16492. "tid": 0,
  16493. "ts": 1539815912107474,
  16494. "dur": 4,
  16495. "args": {
  16496. "name": "tower_2/loss/activation_1_loss/Cast",
  16497. "op": "Cast"
  16498. }
  16499. },
  16500. {
  16501. "ph": "X",
  16502. "cat": "Op",
  16503. "name": "FusedBatchNorm",
  16504. "pid": 15,
  16505. "tid": 0,
  16506. "ts": 1539815916895212,
  16507. "dur": 162,
  16508. "args": {
  16509. "name": "tower_3/batch_normalization/FusedBatchNorm",
  16510. "op": "FusedBatchNorm"
  16511. }
  16512. },
  16513. {
  16514. "ph": "X",
  16515. "cat": "Op",
  16516. "name": "FusedBatchNorm",
  16517. "pid": 15,
  16518. "tid": 1,
  16519. "ts": 1539815916895212,
  16520. "dur": 163,
  16521. "args": {
  16522. "name": "tower_2/batch_normalization/FusedBatchNorm",
  16523. "op": "FusedBatchNorm"
  16524. }
  16525. },
  16526. {
  16527. "ph": "X",
  16528. "cat": "Op",
  16529. "name": "FusedBatchNorm",
  16530. "pid": 15,
  16531. "tid": 2,
  16532. "ts": 1539815916895215,
  16533. "dur": 165,
  16534. "args": {
  16535. "name": "batch_normalization/FusedBatchNorm",
  16536. "op": "FusedBatchNorm"
  16537. }
  16538. },
  16539. {
  16540. "ph": "X",
  16541. "cat": "Op",
  16542. "name": "FusedBatchNorm",
  16543. "pid": 15,
  16544. "tid": 3,
  16545. "ts": 1539815916895241,
  16546. "dur": 163,
  16547. "args": {
  16548. "name": "tower_1/batch_normalization/FusedBatchNorm",
  16549. "op": "FusedBatchNorm"
  16550. }
  16551. },
  16552. {
  16553. "ph": "X",
  16554. "cat": "Op",
  16555. "name": "Sub",
  16556. "pid": 15,
  16557. "tid": 0,
  16558. "ts": 1539815916895391,
  16559. "dur": 4,
  16560. "args": {
  16561. "name": "batch_normalization/AssignMovingAvg/sub_1",
  16562. "op": "Sub"
  16563. }
  16564. },
  16565. {
  16566. "ph": "X",
  16567. "cat": "Op",
  16568. "name": "Sub",
  16569. "pid": 15,
  16570. "tid": 1,
  16571. "ts": 1539815916895393,
  16572. "dur": 4,
  16573. "args": {
  16574. "name": "tower_2/batch_normalization/AssignMovingAvg/sub_1",
  16575. "op": "Sub"
  16576. }
  16577. },
  16578. {
  16579. "ph": "X",
  16580. "cat": "Op",
  16581. "name": "Sub",
  16582. "pid": 15,
  16583. "tid": 0,
  16584. "ts": 1539815916895414,
  16585. "dur": 4,
  16586. "args": {
  16587. "name": "tower_3/batch_normalization/AssignMovingAvg/sub_1",
  16588. "op": "Sub"
  16589. }
  16590. },
  16591. {
  16592. "ph": "X",
  16593. "cat": "Op",
  16594. "name": "Sub",
  16595. "pid": 15,
  16596. "tid": 0,
  16597. "ts": 1539815916895427,
  16598. "dur": 3,
  16599. "args": {
  16600. "name": "tower_2/batch_normalization/AssignMovingAvg_1/sub_1",
  16601. "op": "Sub"
  16602. }
  16603. },
  16604. {
  16605. "ph": "X",
  16606. "cat": "Op",
  16607. "name": "Sub",
  16608. "pid": 15,
  16609. "tid": 0,
  16610. "ts": 1539815916895439,
  16611. "dur": 4,
  16612. "args": {
  16613. "name": "tower_1/batch_normalization/AssignMovingAvg/sub_1",
  16614. "op": "Sub"
  16615. }
  16616. },
  16617. {
  16618. "ph": "X",
  16619. "cat": "Op",
  16620. "name": "Sub",
  16621. "pid": 15,
  16622. "tid": 0,
  16623. "ts": 1539815916895447,
  16624. "dur": 4,
  16625. "args": {
  16626. "name": "batch_normalization/AssignMovingAvg_1/sub_1",
  16627. "op": "Sub"
  16628. }
  16629. },
  16630. {
  16631. "ph": "X",
  16632. "cat": "Op",
  16633. "name": "Sub",
  16634. "pid": 15,
  16635. "tid": 1,
  16636. "ts": 1539815916895450,
  16637. "dur": 4,
  16638. "args": {
  16639. "name": "tower_3/batch_normalization/AssignMovingAvg_1/sub_1",
  16640. "op": "Sub"
  16641. }
  16642. },
  16643. {
  16644. "ph": "X",
  16645. "cat": "Op",
  16646. "name": "Sub",
  16647. "pid": 15,
  16648. "tid": 0,
  16649. "ts": 1539815916895476,
  16650. "dur": 4,
  16651. "args": {
  16652. "name": "tower_1/batch_normalization/AssignMovingAvg_1/sub_1",
  16653. "op": "Sub"
  16654. }
  16655. },
  16656. {
  16657. "ph": "X",
  16658. "cat": "Op",
  16659. "name": "Conv2D",
  16660. "pid": 15,
  16661. "tid": 0,
  16662. "ts": 1539815916895512,
  16663. "dur": 5,
  16664. "args": {
  16665. "name": "tower_2/conv2d/Conv2D",
  16666. "op": "Conv2D"
  16667. }
  16668. },
  16669. {
  16670. "ph": "X",
  16671. "cat": "Op",
  16672. "name": "Conv2D",
  16673. "pid": 15,
  16674. "tid": 1,
  16675. "ts": 1539815916895515,
  16676. "dur": 5,
  16677. "args": {
  16678. "name": "conv2d/Conv2D",
  16679. "op": "Conv2D"
  16680. }
  16681. },
  16682. {
  16683. "ph": "X",
  16684. "cat": "Op",
  16685. "name": "Conv2D",
  16686. "pid": 15,
  16687. "tid": 0,
  16688. "ts": 1539815916895525,
  16689. "dur": 5,
  16690. "args": {
  16691. "name": "tower_3/conv2d/Conv2D",
  16692. "op": "Conv2D"
  16693. }
  16694. },
  16695. {
  16696. "ph": "X",
  16697. "cat": "Op",
  16698. "name": "Conv2D",
  16699. "pid": 15,
  16700. "tid": 0,
  16701. "ts": 1539815916895540,
  16702. "dur": 6,
  16703. "args": {
  16704. "name": "tower_1/conv2d/Conv2D",
  16705. "op": "Conv2D"
  16706. }
  16707. },
  16708. {
  16709. "ph": "X",
  16710. "cat": "Op",
  16711. "name": "Conv2D",
  16712. "pid": 15,
  16713. "tid": 0,
  16714. "ts": 1539815916897992,
  16715. "dur": 258,
  16716. "args": {
  16717. "name": "tower_3/conv2d/Conv2D",
  16718. "op": "Conv2D"
  16719. }
  16720. },
  16721. {
  16722. "ph": "X",
  16723. "cat": "Op",
  16724. "name": "Conv2D",
  16725. "pid": 15,
  16726. "tid": 1,
  16727. "ts": 1539815916897999,
  16728. "dur": 260,
  16729. "args": {
  16730. "name": "tower_2/conv2d/Conv2D",
  16731. "op": "Conv2D"
  16732. }
  16733. },
  16734. {
  16735. "ph": "X",
  16736. "cat": "Op",
  16737. "name": "Conv2D",
  16738. "pid": 15,
  16739. "tid": 2,
  16740. "ts": 1539815916898001,
  16741. "dur": 259,
  16742. "args": {
  16743. "name": "tower_1/conv2d/Conv2D",
  16744. "op": "Conv2D"
  16745. }
  16746. },
  16747. {
  16748. "ph": "X",
  16749. "cat": "Op",
  16750. "name": "Conv2D",
  16751. "pid": 15,
  16752. "tid": 3,
  16753. "ts": 1539815916898014,
  16754. "dur": 259,
  16755. "args": {
  16756. "name": "conv2d/Conv2D",
  16757. "op": "Conv2D"
  16758. }
  16759. },
  16760. {
  16761. "ph": "X",
  16762. "cat": "Op",
  16763. "name": "Conv2D",
  16764. "pid": 15,
  16765. "tid": 0,
  16766. "ts": 1539815916898304,
  16767. "dur": 260,
  16768. "args": {
  16769. "name": "tower_3/conv2d/Conv2D",
  16770. "op": "Conv2D"
  16771. }
  16772. },
  16773. {
  16774. "ph": "X",
  16775. "cat": "Op",
  16776. "name": "Conv2D",
  16777. "pid": 15,
  16778. "tid": 1,
  16779. "ts": 1539815916898312,
  16780. "dur": 263,
  16781. "args": {
  16782. "name": "tower_2/conv2d/Conv2D",
  16783. "op": "Conv2D"
  16784. }
  16785. },
  16786. {
  16787. "ph": "X",
  16788. "cat": "Op",
  16789. "name": "Conv2D",
  16790. "pid": 15,
  16791. "tid": 2,
  16792. "ts": 1539815916898314,
  16793. "dur": 259,
  16794. "args": {
  16795. "name": "tower_1/conv2d/Conv2D",
  16796. "op": "Conv2D"
  16797. }
  16798. },
  16799. {
  16800. "ph": "X",
  16801. "cat": "Op",
  16802. "name": "Conv2D",
  16803. "pid": 15,
  16804. "tid": 3,
  16805. "ts": 1539815916898330,
  16806. "dur": 259,
  16807. "args": {
  16808. "name": "conv2d/Conv2D",
  16809. "op": "Conv2D"
  16810. }
  16811. },
  16812. {
  16813. "ph": "X",
  16814. "cat": "Op",
  16815. "name": "Conv2D",
  16816. "pid": 15,
  16817. "tid": 0,
  16818. "ts": 1539815916903458,
  16819. "dur": 5,
  16820. "args": {
  16821. "name": "tower_1/conv2d/Conv2D",
  16822. "op": "Conv2D"
  16823. }
  16824. },
  16825. {
  16826. "ph": "X",
  16827. "cat": "Op",
  16828. "name": "Conv2D",
  16829. "pid": 15,
  16830. "tid": 1,
  16831. "ts": 1539815916903463,
  16832. "dur": 4,
  16833. "args": {
  16834. "name": "tower_2/conv2d/Conv2D",
  16835. "op": "Conv2D"
  16836. }
  16837. },
  16838. {
  16839. "ph": "X",
  16840. "cat": "Op",
  16841. "name": "Conv2D",
  16842. "pid": 15,
  16843. "tid": 0,
  16844. "ts": 1539815916903476,
  16845. "dur": 4,
  16846. "args": {
  16847. "name": "tower_3/conv2d/Conv2D",
  16848. "op": "Conv2D"
  16849. }
  16850. },
  16851. {
  16852. "ph": "X",
  16853. "cat": "Op",
  16854. "name": "Conv2D",
  16855. "pid": 15,
  16856. "tid": 0,
  16857. "ts": 1539815916903486,
  16858. "dur": 5,
  16859. "args": {
  16860. "name": "conv2d/Conv2D",
  16861. "op": "Conv2D"
  16862. }
  16863. },
  16864. {
  16865. "ph": "X",
  16866. "cat": "Op",
  16867. "name": "Conv2D",
  16868. "pid": 15,
  16869. "tid": 1,
  16870. "ts": 1539815916903487,
  16871. "dur": 111,
  16872. "args": {
  16873. "name": "tower_1/conv2d/Conv2D",
  16874. "op": "Conv2D"
  16875. }
  16876. },
  16877. {
  16878. "ph": "X",
  16879. "cat": "Op",
  16880. "name": "Conv2D",
  16881. "pid": 15,
  16882. "tid": 2,
  16883. "ts": 1539815916903489,
  16884. "dur": 110,
  16885. "args": {
  16886. "name": "tower_2/conv2d/Conv2D",
  16887. "op": "Conv2D"
  16888. }
  16889. },
  16890. {
  16891. "ph": "X",
  16892. "cat": "Op",
  16893. "name": "Conv2D",
  16894. "pid": 15,
  16895. "tid": 0,
  16896. "ts": 1539815916903499,
  16897. "dur": 105,
  16898. "args": {
  16899. "name": "tower_3/conv2d/Conv2D",
  16900. "op": "Conv2D"
  16901. }
  16902. },
  16903. {
  16904. "ph": "X",
  16905. "cat": "Op",
  16906. "name": "Conv2D",
  16907. "pid": 15,
  16908. "tid": 3,
  16909. "ts": 1539815916903510,
  16910. "dur": 105,
  16911. "args": {
  16912. "name": "conv2d/Conv2D",
  16913. "op": "Conv2D"
  16914. }
  16915. },
  16916. {
  16917. "ph": "X",
  16918. "cat": "Op",
  16919. "name": "Conv2D",
  16920. "pid": 15,
  16921. "tid": 0,
  16922. "ts": 1539815916903666,
  16923. "dur": 4,
  16924. "args": {
  16925. "name": "tower_3/conv2d/Conv2D",
  16926. "op": "Conv2D"
  16927. }
  16928. },
  16929. {
  16930. "ph": "X",
  16931. "cat": "Op",
  16932. "name": "Conv2D",
  16933. "pid": 15,
  16934. "tid": 1,
  16935. "ts": 1539815916903670,
  16936. "dur": 4,
  16937. "args": {
  16938. "name": "tower_2/conv2d/Conv2D",
  16939. "op": "Conv2D"
  16940. }
  16941. },
  16942. {
  16943. "ph": "X",
  16944. "cat": "Op",
  16945. "name": "Conv2D",
  16946. "pid": 15,
  16947. "tid": 0,
  16948. "ts": 1539815916903677,
  16949. "dur": 4,
  16950. "args": {
  16951. "name": "conv2d/Conv2D",
  16952. "op": "Conv2D"
  16953. }
  16954. },
  16955. {
  16956. "ph": "X",
  16957. "cat": "Op",
  16958. "name": "Conv2D",
  16959. "pid": 15,
  16960. "tid": 1,
  16961. "ts": 1539815916903680,
  16962. "dur": 103,
  16963. "args": {
  16964. "name": "tower_3/conv2d/Conv2D",
  16965. "op": "Conv2D"
  16966. }
  16967. },
  16968. {
  16969. "ph": "X",
  16970. "cat": "Op",
  16971. "name": "Conv2D",
  16972. "pid": 15,
  16973. "tid": 0,
  16974. "ts": 1539815916903683,
  16975. "dur": 4,
  16976. "args": {
  16977. "name": "tower_1/conv2d/Conv2D",
  16978. "op": "Conv2D"
  16979. }
  16980. },
  16981. {
  16982. "ph": "X",
  16983. "cat": "Op",
  16984. "name": "Conv2D",
  16985. "pid": 15,
  16986. "tid": 2,
  16987. "ts": 1539815916903685,
  16988. "dur": 105,
  16989. "args": {
  16990. "name": "tower_2/conv2d/Conv2D",
  16991. "op": "Conv2D"
  16992. }
  16993. },
  16994. {
  16995. "ph": "X",
  16996. "cat": "Op",
  16997. "name": "Conv2D",
  16998. "pid": 15,
  16999. "tid": 0,
  17000. "ts": 1539815916903693,
  17001. "dur": 104,
  17002. "args": {
  17003. "name": "conv2d/Conv2D",
  17004. "op": "Conv2D"
  17005. }
  17006. },
  17007. {
  17008. "ph": "X",
  17009. "cat": "Op",
  17010. "name": "Conv2D",
  17011. "pid": 15,
  17012. "tid": 3,
  17013. "ts": 1539815916903699,
  17014. "dur": 104,
  17015. "args": {
  17016. "name": "tower_1/conv2d/Conv2D",
  17017. "op": "Conv2D"
  17018. }
  17019. },
  17020. {
  17021. "ph": "X",
  17022. "cat": "Op",
  17023. "name": "Conv2D",
  17024. "pid": 15,
  17025. "tid": 0,
  17026. "ts": 1539815916903836,
  17027. "dur": 35,
  17028. "args": {
  17029. "name": "tower_3/conv2d/Conv2D",
  17030. "op": "Conv2D"
  17031. }
  17032. },
  17033. {
  17034. "ph": "X",
  17035. "cat": "Op",
  17036. "name": "Conv2D",
  17037. "pid": 15,
  17038. "tid": 1,
  17039. "ts": 1539815916903840,
  17040. "dur": 35,
  17041. "args": {
  17042. "name": "tower_2/conv2d/Conv2D",
  17043. "op": "Conv2D"
  17044. }
  17045. },
  17046. {
  17047. "ph": "X",
  17048. "cat": "Op",
  17049. "name": "Conv2D",
  17050. "pid": 15,
  17051. "tid": 2,
  17052. "ts": 1539815916903844,
  17053. "dur": 36,
  17054. "args": {
  17055. "name": "conv2d/Conv2D",
  17056. "op": "Conv2D"
  17057. }
  17058. },
  17059. {
  17060. "ph": "X",
  17061. "cat": "Op",
  17062. "name": "Conv2D",
  17063. "pid": 15,
  17064. "tid": 3,
  17065. "ts": 1539815916903856,
  17066. "dur": 34,
  17067. "args": {
  17068. "name": "tower_1/conv2d/Conv2D",
  17069. "op": "Conv2D"
  17070. }
  17071. },
  17072. {
  17073. "ph": "X",
  17074. "cat": "Op",
  17075. "name": "Conv2D",
  17076. "pid": 15,
  17077. "tid": 0,
  17078. "ts": 1539815916903881,
  17079. "dur": 243,
  17080. "args": {
  17081. "name": "tower_3/conv2d/Conv2D",
  17082. "op": "Conv2D"
  17083. }
  17084. },
  17085. {
  17086. "ph": "X",
  17087. "cat": "Op",
  17088. "name": "Conv2D",
  17089. "pid": 15,
  17090. "tid": 1,
  17091. "ts": 1539815916903885,
  17092. "dur": 239,
  17093. "args": {
  17094. "name": "tower_2/conv2d/Conv2D",
  17095. "op": "Conv2D"
  17096. }
  17097. },
  17098. {
  17099. "ph": "X",
  17100. "cat": "Op",
  17101. "name": "Conv2D",
  17102. "pid": 15,
  17103. "tid": 2,
  17104. "ts": 1539815916903891,
  17105. "dur": 238,
  17106. "args": {
  17107. "name": "conv2d/Conv2D",
  17108. "op": "Conv2D"
  17109. }
  17110. },
  17111. {
  17112. "ph": "X",
  17113. "cat": "Op",
  17114. "name": "Conv2D",
  17115. "pid": 15,
  17116. "tid": 3,
  17117. "ts": 1539815916903902,
  17118. "dur": 240,
  17119. "args": {
  17120. "name": "tower_1/conv2d/Conv2D",
  17121. "op": "Conv2D"
  17122. }
  17123. },
  17124. {
  17125. "ph": "X",
  17126. "cat": "Op",
  17127. "name": "Conv2D",
  17128. "pid": 15,
  17129. "tid": 0,
  17130. "ts": 1539815916904175,
  17131. "dur": 36,
  17132. "args": {
  17133. "name": "tower_3/conv2d/Conv2D",
  17134. "op": "Conv2D"
  17135. }
  17136. },
  17137. {
  17138. "ph": "X",
  17139. "cat": "Op",
  17140. "name": "Conv2D",
  17141. "pid": 15,
  17142. "tid": 1,
  17143. "ts": 1539815916904180,
  17144. "dur": 37,
  17145. "args": {
  17146. "name": "tower_2/conv2d/Conv2D",
  17147. "op": "Conv2D"
  17148. }
  17149. },
  17150. {
  17151. "ph": "X",
  17152. "cat": "Op",
  17153. "name": "Conv2D",
  17154. "pid": 15,
  17155. "tid": 2,
  17156. "ts": 1539815916904182,
  17157. "dur": 36,
  17158. "args": {
  17159. "name": "conv2d/Conv2D",
  17160. "op": "Conv2D"
  17161. }
  17162. },
  17163. {
  17164. "ph": "X",
  17165. "cat": "Op",
  17166. "name": "Conv2D",
  17167. "pid": 15,
  17168. "tid": 3,
  17169. "ts": 1539815916904194,
  17170. "dur": 36,
  17171. "args": {
  17172. "name": "tower_1/conv2d/Conv2D",
  17173. "op": "Conv2D"
  17174. }
  17175. },
  17176. {
  17177. "ph": "X",
  17178. "cat": "Op",
  17179. "name": "Conv2D",
  17180. "pid": 15,
  17181. "tid": 0,
  17182. "ts": 1539815916904215,
  17183. "dur": 240,
  17184. "args": {
  17185. "name": "tower_3/conv2d/Conv2D",
  17186. "op": "Conv2D"
  17187. }
  17188. },
  17189. {
  17190. "ph": "X",
  17191. "cat": "Op",
  17192. "name": "Conv2D",
  17193. "pid": 15,
  17194. "tid": 1,
  17195. "ts": 1539815916904221,
  17196. "dur": 241,
  17197. "args": {
  17198. "name": "tower_2/conv2d/Conv2D",
  17199. "op": "Conv2D"
  17200. }
  17201. },
  17202. {
  17203. "ph": "X",
  17204. "cat": "Op",
  17205. "name": "Conv2D",
  17206. "pid": 15,
  17207. "tid": 2,
  17208. "ts": 1539815916904223,
  17209. "dur": 239,
  17210. "args": {
  17211. "name": "conv2d/Conv2D",
  17212. "op": "Conv2D"
  17213. }
  17214. },
  17215. {
  17216. "ph": "X",
  17217. "cat": "Op",
  17218. "name": "Conv2D",
  17219. "pid": 15,
  17220. "tid": 3,
  17221. "ts": 1539815916904235,
  17222. "dur": 239,
  17223. "args": {
  17224. "name": "tower_1/conv2d/Conv2D",
  17225. "op": "Conv2D"
  17226. }
  17227. },
  17228. {
  17229. "ph": "X",
  17230. "cat": "Op",
  17231. "name": "Conv2D",
  17232. "pid": 15,
  17233. "tid": 0,
  17234. "ts": 1539815916904553,
  17235. "dur": 4,
  17236. "args": {
  17237. "name": "tower_1/conv2d/Conv2D",
  17238. "op": "Conv2D"
  17239. }
  17240. },
  17241. {
  17242. "ph": "X",
  17243. "cat": "Op",
  17244. "name": "Conv2D",
  17245. "pid": 15,
  17246. "tid": 0,
  17247. "ts": 1539815916904565,
  17248. "dur": 4,
  17249. "args": {
  17250. "name": "tower_3/conv2d/Conv2D",
  17251. "op": "Conv2D"
  17252. }
  17253. },
  17254. {
  17255. "ph": "X",
  17256. "cat": "Op",
  17257. "name": "Conv2D",
  17258. "pid": 15,
  17259. "tid": 0,
  17260. "ts": 1539815916904582,
  17261. "dur": 16,
  17262. "args": {
  17263. "name": "tower_3/conv2d/Conv2D",
  17264. "op": "Conv2D"
  17265. }
  17266. },
  17267. {
  17268. "ph": "X",
  17269. "cat": "Op",
  17270. "name": "Conv2D",
  17271. "pid": 15,
  17272. "tid": 1,
  17273. "ts": 1539815916904583,
  17274. "dur": 16,
  17275. "args": {
  17276. "name": "tower_1/conv2d/Conv2D",
  17277. "op": "Conv2D"
  17278. }
  17279. },
  17280. {
  17281. "ph": "X",
  17282. "cat": "Op",
  17283. "name": "Conv2D",
  17284. "pid": 15,
  17285. "tid": 0,
  17286. "ts": 1539815916904602,
  17287. "dur": 22,
  17288. "args": {
  17289. "name": "tower_3/conv2d/Conv2D",
  17290. "op": "Conv2D"
  17291. }
  17292. },
  17293. {
  17294. "ph": "X",
  17295. "cat": "Op",
  17296. "name": "Conv2D",
  17297. "pid": 15,
  17298. "tid": 1,
  17299. "ts": 1539815916904602,
  17300. "dur": 22,
  17301. "args": {
  17302. "name": "tower_1/conv2d/Conv2D",
  17303. "op": "Conv2D"
  17304. }
  17305. },
  17306. {
  17307. "ph": "X",
  17308. "cat": "Op",
  17309. "name": "Conv2D",
  17310. "pid": 15,
  17311. "tid": 2,
  17312. "ts": 1539815916904602,
  17313. "dur": 4,
  17314. "args": {
  17315. "name": "tower_2/conv2d/Conv2D",
  17316. "op": "Conv2D"
  17317. }
  17318. },
  17319. {
  17320. "ph": "X",
  17321. "cat": "Op",
  17322. "name": "Conv2D",
  17323. "pid": 15,
  17324. "tid": 2,
  17325. "ts": 1539815916904612,
  17326. "dur": 4,
  17327. "args": {
  17328. "name": "conv2d/Conv2D",
  17329. "op": "Conv2D"
  17330. }
  17331. },
  17332. {
  17333. "ph": "X",
  17334. "cat": "Op",
  17335. "name": "Conv2D",
  17336. "pid": 15,
  17337. "tid": 0,
  17338. "ts": 1539815916904627,
  17339. "dur": 4,
  17340. "args": {
  17341. "name": "tower_3/conv2d/Conv2D",
  17342. "op": "Conv2D"
  17343. }
  17344. },
  17345. {
  17346. "ph": "X",
  17347. "cat": "Op",
  17348. "name": "Conv2D",
  17349. "pid": 15,
  17350. "tid": 1,
  17351. "ts": 1539815916904628,
  17352. "dur": 4,
  17353. "args": {
  17354. "name": "tower_1/conv2d/Conv2D",
  17355. "op": "Conv2D"
  17356. }
  17357. },
  17358. {
  17359. "ph": "X",
  17360. "cat": "Op",
  17361. "name": "Conv2D",
  17362. "pid": 15,
  17363. "tid": 2,
  17364. "ts": 1539815916904622,
  17365. "dur": 16,
  17366. "args": {
  17367. "name": "tower_2/conv2d/Conv2D",
  17368. "op": "Conv2D"
  17369. }
  17370. },
  17371. {
  17372. "ph": "X",
  17373. "cat": "Op",
  17374. "name": "Conv2D",
  17375. "pid": 15,
  17376. "tid": 0,
  17377. "ts": 1539815916904634,
  17378. "dur": 16,
  17379. "args": {
  17380. "name": "conv2d/Conv2D",
  17381. "op": "Conv2D"
  17382. }
  17383. },
  17384. {
  17385. "ph": "X",
  17386. "cat": "Op",
  17387. "name": "Conv2D",
  17388. "pid": 15,
  17389. "tid": 0,
  17390. "ts": 1539815916904664,
  17391. "dur": 21,
  17392. "args": {
  17393. "name": "tower_2/conv2d/Conv2D",
  17394. "op": "Conv2D"
  17395. }
  17396. },
  17397. {
  17398. "ph": "X",
  17399. "cat": "Op",
  17400. "name": "Conv2D",
  17401. "pid": 15,
  17402. "tid": 1,
  17403. "ts": 1539815916904677,
  17404. "dur": 21,
  17405. "args": {
  17406. "name": "conv2d/Conv2D",
  17407. "op": "Conv2D"
  17408. }
  17409. },
  17410. {
  17411. "ph": "X",
  17412. "cat": "Op",
  17413. "name": "Conv2D",
  17414. "pid": 15,
  17415. "tid": 0,
  17416. "ts": 1539815916904689,
  17417. "dur": 4,
  17418. "args": {
  17419. "name": "tower_2/conv2d/Conv2D",
  17420. "op": "Conv2D"
  17421. }
  17422. },
  17423. {
  17424. "ph": "X",
  17425. "cat": "Op",
  17426. "name": "Conv2D",
  17427. "pid": 15,
  17428. "tid": 0,
  17429. "ts": 1539815916904702,
  17430. "dur": 4,
  17431. "args": {
  17432. "name": "conv2d/Conv2D",
  17433. "op": "Conv2D"
  17434. }
  17435. },
  17436. {
  17437. "ph": "X",
  17438. "cat": "Op",
  17439. "name": "Conv2D",
  17440. "pid": 15,
  17441. "tid": 0,
  17442. "ts": 1539815916905394,
  17443. "dur": 110,
  17444. "args": {
  17445. "name": "conv2d/Conv2D",
  17446. "op": "Conv2D"
  17447. }
  17448. },
  17449. {
  17450. "ph": "X",
  17451. "cat": "Op",
  17452. "name": "Conv2D",
  17453. "pid": 15,
  17454. "tid": 1,
  17455. "ts": 1539815916905398,
  17456. "dur": 111,
  17457. "args": {
  17458. "name": "tower_2/conv2d/Conv2D",
  17459. "op": "Conv2D"
  17460. }
  17461. },
  17462. {
  17463. "ph": "X",
  17464. "cat": "Op",
  17465. "name": "Conv2D",
  17466. "pid": 15,
  17467. "tid": 2,
  17468. "ts": 1539815916905404,
  17469. "dur": 110,
  17470. "args": {
  17471. "name": "tower_3/conv2d/Conv2D",
  17472. "op": "Conv2D"
  17473. }
  17474. },
  17475. {
  17476. "ph": "X",
  17477. "cat": "Op",
  17478. "name": "Conv2D",
  17479. "pid": 15,
  17480. "tid": 3,
  17481. "ts": 1539815916905408,
  17482. "dur": 113,
  17483. "args": {
  17484. "name": "tower_1/conv2d/Conv2D",
  17485. "op": "Conv2D"
  17486. }
  17487. },
  17488. {
  17489. "ph": "X",
  17490. "cat": "Op",
  17491. "name": "Conv2D",
  17492. "pid": 15,
  17493. "tid": 0,
  17494. "ts": 1539815916905508,
  17495. "dur": 183,
  17496. "args": {
  17497. "name": "conv2d/Conv2D",
  17498. "op": "Conv2D"
  17499. }
  17500. },
  17501. {
  17502. "ph": "X",
  17503. "cat": "Op",
  17504. "name": "Conv2D",
  17505. "pid": 15,
  17506. "tid": 1,
  17507. "ts": 1539815916905514,
  17508. "dur": 185,
  17509. "args": {
  17510. "name": "tower_2/conv2d/Conv2D",
  17511. "op": "Conv2D"
  17512. }
  17513. },
  17514. {
  17515. "ph": "X",
  17516. "cat": "Op",
  17517. "name": "Conv2D",
  17518. "pid": 15,
  17519. "tid": 2,
  17520. "ts": 1539815916905518,
  17521. "dur": 186,
  17522. "args": {
  17523. "name": "tower_3/conv2d/Conv2D",
  17524. "op": "Conv2D"
  17525. }
  17526. },
  17527. {
  17528. "ph": "X",
  17529. "cat": "Op",
  17530. "name": "Conv2D",
  17531. "pid": 15,
  17532. "tid": 3,
  17533. "ts": 1539815916905525,
  17534. "dur": 189,
  17535. "args": {
  17536. "name": "tower_1/conv2d/Conv2D",
  17537. "op": "Conv2D"
  17538. }
  17539. },
  17540. {
  17541. "ph": "X",
  17542. "cat": "Op",
  17543. "name": "Conv2D",
  17544. "pid": 15,
  17545. "tid": 0,
  17546. "ts": 1539815916905744,
  17547. "dur": 9,
  17548. "args": {
  17549. "name": "conv2d/Conv2D",
  17550. "op": "Conv2D"
  17551. }
  17552. },
  17553. {
  17554. "ph": "X",
  17555. "cat": "Op",
  17556. "name": "Conv2D",
  17557. "pid": 15,
  17558. "tid": 0,
  17559. "ts": 1539815916905755,
  17560. "dur": 4,
  17561. "args": {
  17562. "name": "tower_2/conv2d/Conv2D",
  17563. "op": "Conv2D"
  17564. }
  17565. },
  17566. {
  17567. "ph": "X",
  17568. "cat": "Op",
  17569. "name": "Conv2D",
  17570. "pid": 15,
  17571. "tid": 1,
  17572. "ts": 1539815916905759,
  17573. "dur": 16,
  17574. "args": {
  17575. "name": "conv2d/Conv2D",
  17576. "op": "Conv2D"
  17577. }
  17578. },
  17579. {
  17580. "ph": "X",
  17581. "cat": "Op",
  17582. "name": "Conv2D",
  17583. "pid": 15,
  17584. "tid": 0,
  17585. "ts": 1539815916905760,
  17586. "dur": 4,
  17587. "args": {
  17588. "name": "tower_3/conv2d/Conv2D",
  17589. "op": "Conv2D"
  17590. }
  17591. },
  17592. {
  17593. "ph": "X",
  17594. "cat": "Op",
  17595. "name": "Conv2D",
  17596. "pid": 15,
  17597. "tid": 0,
  17598. "ts": 1539815916905768,
  17599. "dur": 4,
  17600. "args": {
  17601. "name": "tower_1/conv2d/Conv2D",
  17602. "op": "Conv2D"
  17603. }
  17604. },
  17605. {
  17606. "ph": "X",
  17607. "cat": "Op",
  17608. "name": "Conv2D",
  17609. "pid": 15,
  17610. "tid": 2,
  17611. "ts": 1539815916905768,
  17612. "dur": 16,
  17613. "args": {
  17614. "name": "tower_2/conv2d/Conv2D",
  17615. "op": "Conv2D"
  17616. }
  17617. },
  17618. {
  17619. "ph": "X",
  17620. "cat": "Op",
  17621. "name": "Conv2D",
  17622. "pid": 15,
  17623. "tid": 0,
  17624. "ts": 1539815916905780,
  17625. "dur": 21,
  17626. "args": {
  17627. "name": "conv2d/Conv2D",
  17628. "op": "Conv2D"
  17629. }
  17630. },
  17631. {
  17632. "ph": "X",
  17633. "cat": "Op",
  17634. "name": "Conv2D",
  17635. "pid": 15,
  17636. "tid": 3,
  17637. "ts": 1539815916905772,
  17638. "dur": 15,
  17639. "args": {
  17640. "name": "tower_3/conv2d/Conv2D",
  17641. "op": "Conv2D"
  17642. }
  17643. },
  17644. {
  17645. "ph": "X",
  17646. "cat": "Op",
  17647. "name": "Conv2D",
  17648. "pid": 15,
  17649. "tid": 1,
  17650. "ts": 1539815916905781,
  17651. "dur": 16,
  17652. "args": {
  17653. "name": "tower_1/conv2d/Conv2D",
  17654. "op": "Conv2D"
  17655. }
  17656. },
  17657. {
  17658. "ph": "X",
  17659. "cat": "Op",
  17660. "name": "Conv2D",
  17661. "pid": 15,
  17662. "tid": 2,
  17663. "ts": 1539815916905787,
  17664. "dur": 21,
  17665. "args": {
  17666. "name": "tower_2/conv2d/Conv2D",
  17667. "op": "Conv2D"
  17668. }
  17669. },
  17670. {
  17671. "ph": "X",
  17672. "cat": "Op",
  17673. "name": "Conv2D",
  17674. "pid": 15,
  17675. "tid": 3,
  17676. "ts": 1539815916905792,
  17677. "dur": 21,
  17678. "args": {
  17679. "name": "tower_3/conv2d/Conv2D",
  17680. "op": "Conv2D"
  17681. }
  17682. },
  17683. {
  17684. "ph": "X",
  17685. "cat": "Op",
  17686. "name": "Conv2D",
  17687. "pid": 15,
  17688. "tid": 0,
  17689. "ts": 1539815916905805,
  17690. "dur": 4,
  17691. "args": {
  17692. "name": "conv2d/Conv2D",
  17693. "op": "Conv2D"
  17694. }
  17695. },
  17696. {
  17697. "ph": "X",
  17698. "cat": "Op",
  17699. "name": "Conv2D",
  17700. "pid": 15,
  17701. "tid": 1,
  17702. "ts": 1539815916905800,
  17703. "dur": 21,
  17704. "args": {
  17705. "name": "tower_1/conv2d/Conv2D",
  17706. "op": "Conv2D"
  17707. }
  17708. },
  17709. {
  17710. "ph": "X",
  17711. "cat": "Op",
  17712. "name": "Conv2D",
  17713. "pid": 15,
  17714. "tid": 0,
  17715. "ts": 1539815916905812,
  17716. "dur": 5,
  17717. "args": {
  17718. "name": "tower_2/conv2d/Conv2D",
  17719. "op": "Conv2D"
  17720. }
  17721. },
  17722. {
  17723. "ph": "X",
  17724. "cat": "Op",
  17725. "name": "Conv2D",
  17726. "pid": 15,
  17727. "tid": 2,
  17728. "ts": 1539815916905816,
  17729. "dur": 4,
  17730. "args": {
  17731. "name": "tower_3/conv2d/Conv2D",
  17732. "op": "Conv2D"
  17733. }
  17734. },
  17735. {
  17736. "ph": "X",
  17737. "cat": "Op",
  17738. "name": "Conv2D",
  17739. "pid": 15,
  17740. "tid": 4,
  17741. "ts": 1539815916905812,
  17742. "dur": 108,
  17743. "args": {
  17744. "name": "conv2d/Conv2D",
  17745. "op": "Conv2D"
  17746. }
  17747. },
  17748. {
  17749. "ph": "X",
  17750. "cat": "Op",
  17751. "name": "Conv2D",
  17752. "pid": 15,
  17753. "tid": 0,
  17754. "ts": 1539815916905825,
  17755. "dur": 4,
  17756. "args": {
  17757. "name": "tower_1/conv2d/Conv2D",
  17758. "op": "Conv2D"
  17759. }
  17760. },
  17761. {
  17762. "ph": "X",
  17763. "cat": "Op",
  17764. "name": "Conv2D",
  17765. "pid": 15,
  17766. "tid": 3,
  17767. "ts": 1539815916905820,
  17768. "dur": 108,
  17769. "args": {
  17770. "name": "tower_2/conv2d/Conv2D",
  17771. "op": "Conv2D"
  17772. }
  17773. },
  17774. {
  17775. "ph": "X",
  17776. "cat": "Op",
  17777. "name": "Conv2D",
  17778. "pid": 15,
  17779. "tid": 0,
  17780. "ts": 1539815916905924,
  17781. "dur": 186,
  17782. "args": {
  17783. "name": "conv2d/Conv2D",
  17784. "op": "Conv2D"
  17785. }
  17786. },
  17787. {
  17788. "ph": "X",
  17789. "cat": "Op",
  17790. "name": "Conv2D",
  17791. "pid": 15,
  17792. "tid": 1,
  17793. "ts": 1539815916905834,
  17794. "dur": 107,
  17795. "args": {
  17796. "name": "tower_1/conv2d/Conv2D",
  17797. "op": "Conv2D"
  17798. }
  17799. },
  17800. {
  17801. "ph": "X",
  17802. "cat": "Op",
  17803. "name": "Conv2D",
  17804. "pid": 15,
  17805. "tid": 2,
  17806. "ts": 1539815916905932,
  17807. "dur": 188,
  17808. "args": {
  17809. "name": "tower_2/conv2d/Conv2D",
  17810. "op": "Conv2D"
  17811. }
  17812. },
  17813. {
  17814. "ph": "X",
  17815. "cat": "Op",
  17816. "name": "Conv2D",
  17817. "pid": 15,
  17818. "tid": 5,
  17819. "ts": 1539815916905830,
  17820. "dur": 108,
  17821. "args": {
  17822. "name": "tower_3/conv2d/Conv2D",
  17823. "op": "Conv2D"
  17824. }
  17825. },
  17826. {
  17827. "ph": "X",
  17828. "cat": "Op",
  17829. "name": "Conv2D",
  17830. "pid": 15,
  17831. "tid": 1,
  17832. "ts": 1539815916905945,
  17833. "dur": 185,
  17834. "args": {
  17835. "name": "tower_1/conv2d/Conv2D",
  17836. "op": "Conv2D"
  17837. }
  17838. },
  17839. {
  17840. "ph": "X",
  17841. "cat": "Op",
  17842. "name": "Conv2D",
  17843. "pid": 15,
  17844. "tid": 3,
  17845. "ts": 1539815916905942,
  17846. "dur": 185,
  17847. "args": {
  17848. "name": "tower_3/conv2d/Conv2D",
  17849. "op": "Conv2D"
  17850. }
  17851. },
  17852. {
  17853. "ph": "X",
  17854. "cat": "Op",
  17855. "name": "Conv2D",
  17856. "pid": 15,
  17857. "tid": 0,
  17858. "ts": 1539815916906192,
  17859. "dur": 16,
  17860. "args": {
  17861. "name": "conv2d/Conv2D",
  17862. "op": "Conv2D"
  17863. }
  17864. },
  17865. {
  17866. "ph": "X",
  17867. "cat": "Op",
  17868. "name": "Conv2D",
  17869. "pid": 15,
  17870. "tid": 1,
  17871. "ts": 1539815916906199,
  17872. "dur": 16,
  17873. "args": {
  17874. "name": "tower_2/conv2d/Conv2D",
  17875. "op": "Conv2D"
  17876. }
  17877. },
  17878. {
  17879. "ph": "X",
  17880. "cat": "Op",
  17881. "name": "Conv2D",
  17882. "pid": 15,
  17883. "tid": 0,
  17884. "ts": 1539815916906212,
  17885. "dur": 21,
  17886. "args": {
  17887. "name": "conv2d/Conv2D",
  17888. "op": "Conv2D"
  17889. }
  17890. },
  17891. {
  17892. "ph": "X",
  17893. "cat": "Op",
  17894. "name": "Conv2D",
  17895. "pid": 15,
  17896. "tid": 2,
  17897. "ts": 1539815916906208,
  17898. "dur": 17,
  17899. "args": {
  17900. "name": "tower_3/conv2d/Conv2D",
  17901. "op": "Conv2D"
  17902. }
  17903. },
  17904. {
  17905. "ph": "X",
  17906. "cat": "Op",
  17907. "name": "Conv2D",
  17908. "pid": 15,
  17909. "tid": 3,
  17910. "ts": 1539815916906211,
  17911. "dur": 16,
  17912. "args": {
  17913. "name": "tower_1/conv2d/Conv2D",
  17914. "op": "Conv2D"
  17915. }
  17916. },
  17917. {
  17918. "ph": "X",
  17919. "cat": "Op",
  17920. "name": "Conv2D",
  17921. "pid": 15,
  17922. "tid": 1,
  17923. "ts": 1539815916906220,
  17924. "dur": 21,
  17925. "args": {
  17926. "name": "tower_2/conv2d/Conv2D",
  17927. "op": "Conv2D"
  17928. }
  17929. },
  17930. {
  17931. "ph": "X",
  17932. "cat": "Op",
  17933. "name": "Conv2D",
  17934. "pid": 15,
  17935. "tid": 2,
  17936. "ts": 1539815916906229,
  17937. "dur": 21,
  17938. "args": {
  17939. "name": "tower_3/conv2d/Conv2D",
  17940. "op": "Conv2D"
  17941. }
  17942. },
  17943. {
  17944. "ph": "X",
  17945. "cat": "Op",
  17946. "name": "Conv2D",
  17947. "pid": 15,
  17948. "tid": 3,
  17949. "ts": 1539815916906230,
  17950. "dur": 21,
  17951. "args": {
  17952. "name": "tower_1/conv2d/Conv2D",
  17953. "op": "Conv2D"
  17954. }
  17955. },
  17956. {
  17957. "ph": "X",
  17958. "cat": "Op",
  17959. "name": "Conv2D",
  17960. "pid": 15,
  17961. "tid": 0,
  17962. "ts": 1539815916906941,
  17963. "dur": 111,
  17964. "args": {
  17965. "name": "tower_3/conv2d/Conv2D",
  17966. "op": "Conv2D"
  17967. }
  17968. },
  17969. {
  17970. "ph": "X",
  17971. "cat": "Op",
  17972. "name": "Conv2D",
  17973. "pid": 15,
  17974. "tid": 1,
  17975. "ts": 1539815916906944,
  17976. "dur": 113,
  17977. "args": {
  17978. "name": "tower_2/conv2d/Conv2D",
  17979. "op": "Conv2D"
  17980. }
  17981. },
  17982. {
  17983. "ph": "X",
  17984. "cat": "Op",
  17985. "name": "Conv2D",
  17986. "pid": 15,
  17987. "tid": 2,
  17988. "ts": 1539815916906949,
  17989. "dur": 112,
  17990. "args": {
  17991. "name": "conv2d/Conv2D",
  17992. "op": "Conv2D"
  17993. }
  17994. },
  17995. {
  17996. "ph": "X",
  17997. "cat": "Op",
  17998. "name": "Conv2D",
  17999. "pid": 15,
  18000. "tid": 3,
  18001. "ts": 1539815916906961,
  18002. "dur": 113,
  18003. "args": {
  18004. "name": "tower_1/conv2d/Conv2D",
  18005. "op": "Conv2D"
  18006. }
  18007. },
  18008. {
  18009. "ph": "X",
  18010. "cat": "Op",
  18011. "name": "Conv2D",
  18012. "pid": 15,
  18013. "tid": 0,
  18014. "ts": 1539815916907066,
  18015. "dur": 184,
  18016. "args": {
  18017. "name": "conv2d/Conv2D",
  18018. "op": "Conv2D"
  18019. }
  18020. },
  18021. {
  18022. "ph": "X",
  18023. "cat": "Op",
  18024. "name": "Conv2D",
  18025. "pid": 15,
  18026. "tid": 4,
  18027. "ts": 1539815916907055,
  18028. "dur": 187,
  18029. "args": {
  18030. "name": "tower_3/conv2d/Conv2D",
  18031. "op": "Conv2D"
  18032. }
  18033. },
  18034. {
  18035. "ph": "X",
  18036. "cat": "Op",
  18037. "name": "Conv2D",
  18038. "pid": 15,
  18039. "tid": 1,
  18040. "ts": 1539815916907077,
  18041. "dur": 192,
  18042. "args": {
  18043. "name": "tower_1/conv2d/Conv2D",
  18044. "op": "Conv2D"
  18045. }
  18046. },
  18047. {
  18048. "ph": "X",
  18049. "cat": "Op",
  18050. "name": "Conv2D",
  18051. "pid": 15,
  18052. "tid": 5,
  18053. "ts": 1539815916907060,
  18054. "dur": 187,
  18055. "args": {
  18056. "name": "tower_2/conv2d/Conv2D",
  18057. "op": "Conv2D"
  18058. }
  18059. },
  18060. {
  18061. "ph": "X",
  18062. "cat": "Op",
  18063. "name": "Conv2D",
  18064. "pid": 15,
  18065. "tid": 0,
  18066. "ts": 1539815916907332,
  18067. "dur": 16,
  18068. "args": {
  18069. "name": "conv2d/Conv2D",
  18070. "op": "Conv2D"
  18071. }
  18072. },
  18073. {
  18074. "ph": "X",
  18075. "cat": "Op",
  18076. "name": "Conv2D",
  18077. "pid": 15,
  18078. "tid": 1,
  18079. "ts": 1539815916907332,
  18080. "dur": 16,
  18081. "args": {
  18082. "name": "tower_2/conv2d/Conv2D",
  18083. "op": "Conv2D"
  18084. }
  18085. },
  18086. {
  18087. "ph": "X",
  18088. "cat": "Op",
  18089. "name": "Conv2D",
  18090. "pid": 15,
  18091. "tid": 2,
  18092. "ts": 1539815916907334,
  18093. "dur": 17,
  18094. "args": {
  18095. "name": "tower_1/conv2d/Conv2D",
  18096. "op": "Conv2D"
  18097. }
  18098. },
  18099. {
  18100. "ph": "X",
  18101. "cat": "Op",
  18102. "name": "Conv2D",
  18103. "pid": 15,
  18104. "tid": 3,
  18105. "ts": 1539815916907343,
  18106. "dur": 17,
  18107. "args": {
  18108. "name": "tower_3/conv2d/Conv2D",
  18109. "op": "Conv2D"
  18110. }
  18111. },
  18112. {
  18113. "ph": "X",
  18114. "cat": "Op",
  18115. "name": "Conv2D",
  18116. "pid": 15,
  18117. "tid": 0,
  18118. "ts": 1539815916907351,
  18119. "dur": 21,
  18120. "args": {
  18121. "name": "conv2d/Conv2D",
  18122. "op": "Conv2D"
  18123. }
  18124. },
  18125. {
  18126. "ph": "X",
  18127. "cat": "Op",
  18128. "name": "Conv2D",
  18129. "pid": 15,
  18130. "tid": 1,
  18131. "ts": 1539815916907351,
  18132. "dur": 22,
  18133. "args": {
  18134. "name": "tower_2/conv2d/Conv2D",
  18135. "op": "Conv2D"
  18136. }
  18137. },
  18138. {
  18139. "ph": "X",
  18140. "cat": "Op",
  18141. "name": "Conv2D",
  18142. "pid": 15,
  18143. "tid": 2,
  18144. "ts": 1539815916907355,
  18145. "dur": 22,
  18146. "args": {
  18147. "name": "tower_1/conv2d/Conv2D",
  18148. "op": "Conv2D"
  18149. }
  18150. },
  18151. {
  18152. "ph": "X",
  18153. "cat": "Op",
  18154. "name": "Conv2D",
  18155. "pid": 15,
  18156. "tid": 3,
  18157. "ts": 1539815916907364,
  18158. "dur": 22,
  18159. "args": {
  18160. "name": "tower_3/conv2d/Conv2D",
  18161. "op": "Conv2D"
  18162. }
  18163. },
  18164. {
  18165. "ph": "X",
  18166. "cat": "Op",
  18167. "name": "Conv2D",
  18168. "pid": 15,
  18169. "tid": 0,
  18170. "ts": 1539815916907383,
  18171. "dur": 111,
  18172. "args": {
  18173. "name": "conv2d/Conv2D",
  18174. "op": "Conv2D"
  18175. }
  18176. },
  18177. {
  18178. "ph": "X",
  18179. "cat": "Op",
  18180. "name": "Conv2D",
  18181. "pid": 15,
  18182. "tid": 1,
  18183. "ts": 1539815916907384,
  18184. "dur": 114,
  18185. "args": {
  18186. "name": "tower_2/conv2d/Conv2D",
  18187. "op": "Conv2D"
  18188. }
  18189. },
  18190. {
  18191. "ph": "X",
  18192. "cat": "Op",
  18193. "name": "Conv2D",
  18194. "pid": 15,
  18195. "tid": 2,
  18196. "ts": 1539815916907389,
  18197. "dur": 111,
  18198. "args": {
  18199. "name": "tower_1/conv2d/Conv2D",
  18200. "op": "Conv2D"
  18201. }
  18202. },
  18203. {
  18204. "ph": "X",
  18205. "cat": "Op",
  18206. "name": "Conv2D",
  18207. "pid": 15,
  18208. "tid": 0,
  18209. "ts": 1539815916907498,
  18210. "dur": 188,
  18211. "args": {
  18212. "name": "conv2d/Conv2D",
  18213. "op": "Conv2D"
  18214. }
  18215. },
  18216. {
  18217. "ph": "X",
  18218. "cat": "Op",
  18219. "name": "Conv2D",
  18220. "pid": 15,
  18221. "tid": 3,
  18222. "ts": 1539815916907397,
  18223. "dur": 114,
  18224. "args": {
  18225. "name": "tower_3/conv2d/Conv2D",
  18226. "op": "Conv2D"
  18227. }
  18228. },
  18229. {
  18230. "ph": "X",
  18231. "cat": "Op",
  18232. "name": "Conv2D",
  18233. "pid": 15,
  18234. "tid": 1,
  18235. "ts": 1539815916907503,
  18236. "dur": 186,
  18237. "args": {
  18238. "name": "tower_2/conv2d/Conv2D",
  18239. "op": "Conv2D"
  18240. }
  18241. },
  18242. {
  18243. "ph": "X",
  18244. "cat": "Op",
  18245. "name": "Conv2D",
  18246. "pid": 15,
  18247. "tid": 2,
  18248. "ts": 1539815916907503,
  18249. "dur": 183,
  18250. "args": {
  18251. "name": "tower_1/conv2d/Conv2D",
  18252. "op": "Conv2D"
  18253. }
  18254. },
  18255. {
  18256. "ph": "X",
  18257. "cat": "Op",
  18258. "name": "Conv2D",
  18259. "pid": 15,
  18260. "tid": 3,
  18261. "ts": 1539815916907515,
  18262. "dur": 188,
  18263. "args": {
  18264. "name": "tower_3/conv2d/Conv2D",
  18265. "op": "Conv2D"
  18266. }
  18267. },
  18268. {
  18269. "ph": "X",
  18270. "cat": "Op",
  18271. "name": "Conv2D",
  18272. "pid": 15,
  18273. "tid": 0,
  18274. "ts": 1539815916907741,
  18275. "dur": 28,
  18276. "args": {
  18277. "name": "tower_2/conv2d/Conv2D",
  18278. "op": "Conv2D"
  18279. }
  18280. },
  18281. {
  18282. "ph": "X",
  18283. "cat": "Op",
  18284. "name": "Conv2D",
  18285. "pid": 15,
  18286. "tid": 1,
  18287. "ts": 1539815916907752,
  18288. "dur": 27,
  18289. "args": {
  18290. "name": "tower_3/conv2d/Conv2D",
  18291. "op": "Conv2D"
  18292. }
  18293. },
  18294. {
  18295. "ph": "X",
  18296. "cat": "Op",
  18297. "name": "Conv2D",
  18298. "pid": 15,
  18299. "tid": 0,
  18300. "ts": 1539815916907774,
  18301. "dur": 5,
  18302. "args": {
  18303. "name": "tower_2/conv2d/Conv2D",
  18304. "op": "Conv2D"
  18305. }
  18306. },
  18307. {
  18308. "ph": "X",
  18309. "cat": "Op",
  18310. "name": "Conv2D",
  18311. "pid": 15,
  18312. "tid": 0,
  18313. "ts": 1539815916907782,
  18314. "dur": 6,
  18315. "args": {
  18316. "name": "tower_3/conv2d/Conv2D",
  18317. "op": "Conv2D"
  18318. }
  18319. },
  18320. {
  18321. "ph": "X",
  18322. "cat": "Op",
  18323. "name": "Conv2D",
  18324. "pid": 15,
  18325. "tid": 2,
  18326. "ts": 1539815916907765,
  18327. "dur": 27,
  18328. "args": {
  18329. "name": "tower_1/conv2d/Conv2D",
  18330. "op": "Conv2D"
  18331. }
  18332. },
  18333. {
  18334. "ph": "X",
  18335. "cat": "Op",
  18336. "name": "Conv2D",
  18337. "pid": 15,
  18338. "tid": 1,
  18339. "ts": 1539815916907782,
  18340. "dur": 239,
  18341. "args": {
  18342. "name": "tower_2/conv2d/Conv2D",
  18343. "op": "Conv2D"
  18344. }
  18345. },
  18346. {
  18347. "ph": "X",
  18348. "cat": "Op",
  18349. "name": "Conv2D",
  18350. "pid": 15,
  18351. "tid": 3,
  18352. "ts": 1539815916907774,
  18353. "dur": 27,
  18354. "args": {
  18355. "name": "conv2d/Conv2D",
  18356. "op": "Conv2D"
  18357. }
  18358. },
  18359. {
  18360. "ph": "X",
  18361. "cat": "Op",
  18362. "name": "Conv2D",
  18363. "pid": 15,
  18364. "tid": 0,
  18365. "ts": 1539815916907796,
  18366. "dur": 6,
  18367. "args": {
  18368. "name": "tower_1/conv2d/Conv2D",
  18369. "op": "Conv2D"
  18370. }
  18371. },
  18372. {
  18373. "ph": "X",
  18374. "cat": "Op",
  18375. "name": "Conv2D",
  18376. "pid": 15,
  18377. "tid": 2,
  18378. "ts": 1539815916907793,
  18379. "dur": 238,
  18380. "args": {
  18381. "name": "tower_3/conv2d/Conv2D",
  18382. "op": "Conv2D"
  18383. }
  18384. },
  18385. {
  18386. "ph": "X",
  18387. "cat": "Op",
  18388. "name": "Conv2D",
  18389. "pid": 15,
  18390. "tid": 0,
  18391. "ts": 1539815916908025,
  18392. "dur": 569,
  18393. "args": {
  18394. "name": "tower_2/conv2d/Conv2D",
  18395. "op": "Conv2D"
  18396. }
  18397. },
  18398. {
  18399. "ph": "X",
  18400. "cat": "Op",
  18401. "name": "Conv2D",
  18402. "pid": 15,
  18403. "tid": 3,
  18404. "ts": 1539815916907805,
  18405. "dur": 6,
  18406. "args": {
  18407. "name": "conv2d/Conv2D",
  18408. "op": "Conv2D"
  18409. }
  18410. },
  18411. {
  18412. "ph": "X",
  18413. "cat": "Op",
  18414. "name": "Conv2D",
  18415. "pid": 15,
  18416. "tid": 1,
  18417. "ts": 1539815916908034,
  18418. "dur": 568,
  18419. "args": {
  18420. "name": "tower_3/conv2d/Conv2D",
  18421. "op": "Conv2D"
  18422. }
  18423. },
  18424. {
  18425. "ph": "X",
  18426. "cat": "Op",
  18427. "name": "Conv2D",
  18428. "pid": 15,
  18429. "tid": 4,
  18430. "ts": 1539815916907805,
  18431. "dur": 238,
  18432. "args": {
  18433. "name": "tower_1/conv2d/Conv2D",
  18434. "op": "Conv2D"
  18435. }
  18436. },
  18437. {
  18438. "ph": "X",
  18439. "cat": "Op",
  18440. "name": "Conv2D",
  18441. "pid": 15,
  18442. "tid": 3,
  18443. "ts": 1539815916907814,
  18444. "dur": 244,
  18445. "args": {
  18446. "name": "conv2d/Conv2D",
  18447. "op": "Conv2D"
  18448. }
  18449. },
  18450. {
  18451. "ph": "X",
  18452. "cat": "Op",
  18453. "name": "Conv2D",
  18454. "pid": 15,
  18455. "tid": 2,
  18456. "ts": 1539815916908048,
  18457. "dur": 566,
  18458. "args": {
  18459. "name": "tower_1/conv2d/Conv2D",
  18460. "op": "Conv2D"
  18461. }
  18462. },
  18463. {
  18464. "ph": "X",
  18465. "cat": "Op",
  18466. "name": "Conv2D",
  18467. "pid": 15,
  18468. "tid": 3,
  18469. "ts": 1539815916908063,
  18470. "dur": 565,
  18471. "args": {
  18472. "name": "conv2d/Conv2D",
  18473. "op": "Conv2D"
  18474. }
  18475. },
  18476. {
  18477. "ph": "X",
  18478. "cat": "Op",
  18479. "name": "Conv2D",
  18480. "pid": 15,
  18481. "tid": 0,
  18482. "ts": 1539815916908638,
  18483. "dur": 27,
  18484. "args": {
  18485. "name": "tower_2/conv2d/Conv2D",
  18486. "op": "Conv2D"
  18487. }
  18488. },
  18489. {
  18490. "ph": "X",
  18491. "cat": "Op",
  18492. "name": "Conv2D",
  18493. "pid": 15,
  18494. "tid": 1,
  18495. "ts": 1539815916908646,
  18496. "dur": 27,
  18497. "args": {
  18498. "name": "tower_3/conv2d/Conv2D",
  18499. "op": "Conv2D"
  18500. }
  18501. },
  18502. {
  18503. "ph": "X",
  18504. "cat": "Op",
  18505. "name": "Conv2D",
  18506. "pid": 15,
  18507. "tid": 0,
  18508. "ts": 1539815916908670,
  18509. "dur": 6,
  18510. "args": {
  18511. "name": "tower_2/conv2d/Conv2D",
  18512. "op": "Conv2D"
  18513. }
  18514. },
  18515. {
  18516. "ph": "X",
  18517. "cat": "Op",
  18518. "name": "Conv2D",
  18519. "pid": 15,
  18520. "tid": 1,
  18521. "ts": 1539815916908676,
  18522. "dur": 6,
  18523. "args": {
  18524. "name": "tower_3/conv2d/Conv2D",
  18525. "op": "Conv2D"
  18526. }
  18527. },
  18528. {
  18529. "ph": "X",
  18530. "cat": "Op",
  18531. "name": "Conv2D",
  18532. "pid": 15,
  18533. "tid": 0,
  18534. "ts": 1539815916908679,
  18535. "dur": 239,
  18536. "args": {
  18537. "name": "tower_2/conv2d/Conv2D",
  18538. "op": "Conv2D"
  18539. }
  18540. },
  18541. {
  18542. "ph": "X",
  18543. "cat": "Op",
  18544. "name": "Conv2D",
  18545. "pid": 15,
  18546. "tid": 1,
  18547. "ts": 1539815916908687,
  18548. "dur": 237,
  18549. "args": {
  18550. "name": "tower_3/conv2d/Conv2D",
  18551. "op": "Conv2D"
  18552. }
  18553. },
  18554. {
  18555. "ph": "X",
  18556. "cat": "Op",
  18557. "name": "Conv2D",
  18558. "pid": 15,
  18559. "tid": 2,
  18560. "ts": 1539815916908674,
  18561. "dur": 27,
  18562. "args": {
  18563. "name": "conv2d/Conv2D",
  18564. "op": "Conv2D"
  18565. }
  18566. },
  18567. {
  18568. "ph": "X",
  18569. "cat": "Op",
  18570. "name": "Conv2D",
  18571. "pid": 15,
  18572. "tid": 0,
  18573. "ts": 1539815916908927,
  18574. "dur": 566,
  18575. "args": {
  18576. "name": "tower_3/conv2d/Conv2D",
  18577. "op": "Conv2D"
  18578. }
  18579. },
  18580. {
  18581. "ph": "X",
  18582. "cat": "Op",
  18583. "name": "Conv2D",
  18584. "pid": 15,
  18585. "tid": 2,
  18586. "ts": 1539815916908923,
  18587. "dur": 573,
  18588. "args": {
  18589. "name": "tower_2/conv2d/Conv2D",
  18590. "op": "Conv2D"
  18591. }
  18592. },
  18593. {
  18594. "ph": "X",
  18595. "cat": "Op",
  18596. "name": "Conv2D",
  18597. "pid": 15,
  18598. "tid": 3,
  18599. "ts": 1539815916908705,
  18600. "dur": 5,
  18601. "args": {
  18602. "name": "conv2d/Conv2D",
  18603. "op": "Conv2D"
  18604. }
  18605. },
  18606. {
  18607. "ph": "X",
  18608. "cat": "Op",
  18609. "name": "Conv2D",
  18610. "pid": 15,
  18611. "tid": 4,
  18612. "ts": 1539815916908690,
  18613. "dur": 26,
  18614. "args": {
  18615. "name": "tower_1/conv2d/Conv2D",
  18616. "op": "Conv2D"
  18617. }
  18618. },
  18619. {
  18620. "ph": "X",
  18621. "cat": "Op",
  18622. "name": "Conv2D",
  18623. "pid": 15,
  18624. "tid": 3,
  18625. "ts": 1539815916908713,
  18626. "dur": 242,
  18627. "args": {
  18628. "name": "conv2d/Conv2D",
  18629. "op": "Conv2D"
  18630. }
  18631. },
  18632. {
  18633. "ph": "X",
  18634. "cat": "Op",
  18635. "name": "Conv2D",
  18636. "pid": 15,
  18637. "tid": 4,
  18638. "ts": 1539815916908720,
  18639. "dur": 6,
  18640. "args": {
  18641. "name": "tower_1/conv2d/Conv2D",
  18642. "op": "Conv2D"
  18643. }
  18644. },
  18645. {
  18646. "ph": "X",
  18647. "cat": "Op",
  18648. "name": "Conv2D",
  18649. "pid": 15,
  18650. "tid": 1,
  18651. "ts": 1539815916908960,
  18652. "dur": 567,
  18653. "args": {
  18654. "name": "conv2d/Conv2D",
  18655. "op": "Conv2D"
  18656. }
  18657. },
  18658. {
  18659. "ph": "X",
  18660. "cat": "Op",
  18661. "name": "Conv2D",
  18662. "pid": 15,
  18663. "tid": 4,
  18664. "ts": 1539815916908729,
  18665. "dur": 240,
  18666. "args": {
  18667. "name": "tower_1/conv2d/Conv2D",
  18668. "op": "Conv2D"
  18669. }
  18670. },
  18671. {
  18672. "ph": "X",
  18673. "cat": "Op",
  18674. "name": "Conv2D",
  18675. "pid": 15,
  18676. "tid": 3,
  18677. "ts": 1539815916908973,
  18678. "dur": 566,
  18679. "args": {
  18680. "name": "tower_1/conv2d/Conv2D",
  18681. "op": "Conv2D"
  18682. }
  18683. },
  18684. {
  18685. "ph": "X",
  18686. "cat": "Op",
  18687. "name": "Conv2D",
  18688. "pid": 15,
  18689. "tid": 0,
  18690. "ts": 1539815916910636,
  18691. "dur": 4,
  18692. "args": {
  18693. "name": "tower_3/conv2d/Conv2D",
  18694. "op": "Conv2D"
  18695. }
  18696. },
  18697. {
  18698. "ph": "X",
  18699. "cat": "Op",
  18700. "name": "Conv2D",
  18701. "pid": 15,
  18702. "tid": 0,
  18703. "ts": 1539815916910668,
  18704. "dur": 4,
  18705. "args": {
  18706. "name": "tower_2/conv2d/Conv2D",
  18707. "op": "Conv2D"
  18708. }
  18709. },
  18710. {
  18711. "ph": "X",
  18712. "cat": "Op",
  18713. "name": "Conv2D",
  18714. "pid": 15,
  18715. "tid": 1,
  18716. "ts": 1539815916910669,
  18717. "dur": 104,
  18718. "args": {
  18719. "name": "tower_3/conv2d/Conv2D",
  18720. "op": "Conv2D"
  18721. }
  18722. },
  18723. {
  18724. "ph": "X",
  18725. "cat": "Op",
  18726. "name": "Conv2D",
  18727. "pid": 15,
  18728. "tid": 0,
  18729. "ts": 1539815916910701,
  18730. "dur": 104,
  18731. "args": {
  18732. "name": "tower_2/conv2d/Conv2D",
  18733. "op": "Conv2D"
  18734. }
  18735. },
  18736. {
  18737. "ph": "X",
  18738. "cat": "Op",
  18739. "name": "Conv2D",
  18740. "pid": 15,
  18741. "tid": 2,
  18742. "ts": 1539815916910700,
  18743. "dur": 5,
  18744. "args": {
  18745. "name": "conv2d/Conv2D",
  18746. "op": "Conv2D"
  18747. }
  18748. },
  18749. {
  18750. "ph": "X",
  18751. "cat": "Op",
  18752. "name": "Conv2D",
  18753. "pid": 15,
  18754. "tid": 2,
  18755. "ts": 1539815916910732,
  18756. "dur": 4,
  18757. "args": {
  18758. "name": "tower_1/conv2d/Conv2D",
  18759. "op": "Conv2D"
  18760. }
  18761. },
  18762. {
  18763. "ph": "X",
  18764. "cat": "Op",
  18765. "name": "Conv2D",
  18766. "pid": 15,
  18767. "tid": 3,
  18768. "ts": 1539815916910733,
  18769. "dur": 104,
  18770. "args": {
  18771. "name": "conv2d/Conv2D",
  18772. "op": "Conv2D"
  18773. }
  18774. },
  18775. {
  18776. "ph": "X",
  18777. "cat": "Op",
  18778. "name": "Conv2D",
  18779. "pid": 15,
  18780. "tid": 1,
  18781. "ts": 1539815916910779,
  18782. "dur": 104,
  18783. "args": {
  18784. "name": "tower_1/conv2d/Conv2D",
  18785. "op": "Conv2D"
  18786. }
  18787. },
  18788. {
  18789. "ph": "X",
  18790. "cat": "Op",
  18791. "name": "Mul",
  18792. "pid": 15,
  18793. "tid": 0,
  18794. "ts": 1539815916910828,
  18795. "dur": 4,
  18796. "args": {
  18797. "name": "tower_2/batch_normalization/AssignMovingAvg/mul",
  18798. "op": "Mul"
  18799. }
  18800. },
  18801. {
  18802. "ph": "X",
  18803. "cat": "Op",
  18804. "name": "Mul",
  18805. "pid": 15,
  18806. "tid": 2,
  18807. "ts": 1539815916910829,
  18808. "dur": 5,
  18809. "args": {
  18810. "name": "tower_3/batch_normalization/AssignMovingAvg/mul",
  18811. "op": "Mul"
  18812. }
  18813. },
  18814. {
  18815. "ph": "X",
  18816. "cat": "Op",
  18817. "name": "Mul",
  18818. "pid": 15,
  18819. "tid": 0,
  18820. "ts": 1539815916910843,
  18821. "dur": 4,
  18822. "args": {
  18823. "name": "batch_normalization/AssignMovingAvg/mul",
  18824. "op": "Mul"
  18825. }
  18826. },
  18827. {
  18828. "ph": "X",
  18829. "cat": "Op",
  18830. "name": "Mul",
  18831. "pid": 15,
  18832. "tid": 0,
  18833. "ts": 1539815916910886,
  18834. "dur": 5,
  18835. "args": {
  18836. "name": "tower_1/batch_normalization/AssignMovingAvg/mul",
  18837. "op": "Mul"
  18838. }
  18839. },
  18840. {
  18841. "ph": "X",
  18842. "cat": "Op",
  18843. "name": "Mul",
  18844. "pid": 15,
  18845. "tid": 2,
  18846. "ts": 1539815916910861,
  18847. "dur": 3,
  18848. "args": {
  18849. "name": "tower_2/batch_normalization/AssignMovingAvg_1/mul",
  18850. "op": "Mul"
  18851. }
  18852. },
  18853. {
  18854. "ph": "X",
  18855. "cat": "Op",
  18856. "name": "Mul",
  18857. "pid": 15,
  18858. "tid": 3,
  18859. "ts": 1539815916910863,
  18860. "dur": 3,
  18861. "args": {
  18862. "name": "tower_3/batch_normalization/AssignMovingAvg_1/mul",
  18863. "op": "Mul"
  18864. }
  18865. },
  18866. {
  18867. "ph": "X",
  18868. "cat": "Op",
  18869. "name": "Mul",
  18870. "pid": 15,
  18871. "tid": 2,
  18872. "ts": 1539815916910873,
  18873. "dur": 3,
  18874. "args": {
  18875. "name": "batch_normalization/AssignMovingAvg_1/mul",
  18876. "op": "Mul"
  18877. }
  18878. },
  18879. {
  18880. "ph": "X",
  18881. "cat": "Op",
  18882. "name": "Mul",
  18883. "pid": 15,
  18884. "tid": 0,
  18885. "ts": 1539815916910895,
  18886. "dur": 3,
  18887. "args": {
  18888. "name": "tower_1/batch_normalization/AssignMovingAvg_1/mul",
  18889. "op": "Mul"
  18890. }
  18891. },
  18892. {
  18893. "ph": "X",
  18894. "cat": "Op",
  18895. "name": "BiasAdd",
  18896. "pid": 15,
  18897. "tid": 1,
  18898. "ts": 1539815916910898,
  18899. "dur": 165,
  18900. "args": {
  18901. "name": "tower_3/conv2d/BiasAdd",
  18902. "op": "BiasAdd"
  18903. }
  18904. },
  18905. {
  18906. "ph": "X",
  18907. "cat": "Op",
  18908. "name": "BiasAdd",
  18909. "pid": 15,
  18910. "tid": 0,
  18911. "ts": 1539815916910900,
  18912. "dur": 165,
  18913. "args": {
  18914. "name": "tower_2/conv2d/BiasAdd",
  18915. "op": "BiasAdd"
  18916. }
  18917. },
  18918. {
  18919. "ph": "X",
  18920. "cat": "Op",
  18921. "name": "BiasAdd",
  18922. "pid": 15,
  18923. "tid": 2,
  18924. "ts": 1539815916910911,
  18925. "dur": 165,
  18926. "args": {
  18927. "name": "conv2d/BiasAdd",
  18928. "op": "BiasAdd"
  18929. }
  18930. },
  18931. {
  18932. "ph": "X",
  18933. "cat": "Op",
  18934. "name": "BiasAdd",
  18935. "pid": 15,
  18936. "tid": 3,
  18937. "ts": 1539815916910928,
  18938. "dur": 165,
  18939. "args": {
  18940. "name": "tower_1/conv2d/BiasAdd",
  18941. "op": "BiasAdd"
  18942. }
  18943. },
  18944. {
  18945. "ph": "X",
  18946. "cat": "Op",
  18947. "name": "AssignSubVariableOp",
  18948. "pid": 15,
  18949. "tid": 0,
  18950. "ts": 1539815916913155,
  18951. "dur": 3,
  18952. "args": {
  18953. "name": "tower_2/batch_normalization/AssignMovingAvg/AssignSubVariableOp",
  18954. "op": "AssignSubVariableOp"
  18955. }
  18956. },
  18957. {
  18958. "ph": "X",
  18959. "cat": "Op",
  18960. "name": "AssignSubVariableOp",
  18961. "pid": 15,
  18962. "tid": 0,
  18963. "ts": 1539815916913186,
  18964. "dur": 4,
  18965. "args": {
  18966. "name": "batch_normalization/AssignMovingAvg/AssignSubVariableOp",
  18967. "op": "AssignSubVariableOp"
  18968. }
  18969. },
  18970. {
  18971. "ph": "X",
  18972. "cat": "Op",
  18973. "name": "AssignSubVariableOp",
  18974. "pid": 15,
  18975. "tid": 1,
  18976. "ts": 1539815916913162,
  18977. "dur": 4,
  18978. "args": {
  18979. "name": "tower_1/batch_normalization/AssignMovingAvg/AssignSubVariableOp",
  18980. "op": "AssignSubVariableOp"
  18981. }
  18982. },
  18983. {
  18984. "ph": "X",
  18985. "cat": "Op",
  18986. "name": "AssignSubVariableOp",
  18987. "pid": 15,
  18988. "tid": 0,
  18989. "ts": 1539815916913217,
  18990. "dur": 4,
  18991. "args": {
  18992. "name": "tower_3/batch_normalization/AssignMovingAvg/AssignSubVariableOp",
  18993. "op": "AssignSubVariableOp"
  18994. }
  18995. },
  18996. {
  18997. "ph": "X",
  18998. "cat": "Op",
  18999. "name": "AssignSubVariableOp",
  19000. "pid": 15,
  19001. "tid": 0,
  19002. "ts": 1539815916913230,
  19003. "dur": 3,
  19004. "args": {
  19005. "name": "tower_2/batch_normalization/AssignMovingAvg_1/AssignSubVariableOp",
  19006. "op": "AssignSubVariableOp"
  19007. }
  19008. },
  19009. {
  19010. "ph": "X",
  19011. "cat": "Op",
  19012. "name": "AssignSubVariableOp",
  19013. "pid": 15,
  19014. "tid": 0,
  19015. "ts": 1539815916913238,
  19016. "dur": 3,
  19017. "args": {
  19018. "name": "batch_normalization/AssignMovingAvg_1/AssignSubVariableOp",
  19019. "op": "AssignSubVariableOp"
  19020. }
  19021. },
  19022. {
  19023. "ph": "X",
  19024. "cat": "Op",
  19025. "name": "Elu",
  19026. "pid": 15,
  19027. "tid": 0,
  19028. "ts": 1539815916913265,
  19029. "dur": 137,
  19030. "args": {
  19031. "name": "conv2d/Elu",
  19032. "op": "Elu"
  19033. }
  19034. },
  19035. {
  19036. "ph": "X",
  19037. "cat": "Op",
  19038. "name": "Elu",
  19039. "pid": 15,
  19040. "tid": 1,
  19041. "ts": 1539815916913266,
  19042. "dur": 138,
  19043. "args": {
  19044. "name": "tower_2/conv2d/Elu",
  19045. "op": "Elu"
  19046. }
  19047. },
  19048. {
  19049. "ph": "X",
  19050. "cat": "Op",
  19051. "name": "AssignSubVariableOp",
  19052. "pid": 15,
  19053. "tid": 2,
  19054. "ts": 1539815916913269,
  19055. "dur": 3,
  19056. "args": {
  19057. "name": "tower_1/batch_normalization/AssignMovingAvg_1/AssignSubVariableOp",
  19058. "op": "AssignSubVariableOp"
  19059. }
  19060. },
  19061. {
  19062. "ph": "X",
  19063. "cat": "Op",
  19064. "name": "AssignSubVariableOp",
  19065. "pid": 15,
  19066. "tid": 3,
  19067. "ts": 1539815916913270,
  19068. "dur": 4,
  19069. "args": {
  19070. "name": "tower_3/batch_normalization/AssignMovingAvg_1/AssignSubVariableOp",
  19071. "op": "AssignSubVariableOp"
  19072. }
  19073. },
  19074. {
  19075. "ph": "X",
  19076. "cat": "Op",
  19077. "name": "Elu",
  19078. "pid": 15,
  19079. "tid": 2,
  19080. "ts": 1539815916913344,
  19081. "dur": 137,
  19082. "args": {
  19083. "name": "tower_1/conv2d/Elu",
  19084. "op": "Elu"
  19085. }
  19086. },
  19087. {
  19088. "ph": "X",
  19089. "cat": "Op",
  19090. "name": "Elu",
  19091. "pid": 15,
  19092. "tid": 3,
  19093. "ts": 1539815916913359,
  19094. "dur": 137,
  19095. "args": {
  19096. "name": "tower_3/conv2d/Elu",
  19097. "op": "Elu"
  19098. }
  19099. },
  19100. {
  19101. "ph": "X",
  19102. "cat": "Op",
  19103. "name": "MaxPool",
  19104. "pid": 15,
  19105. "tid": 0,
  19106. "ts": 1539815916915060,
  19107. "dur": 101,
  19108. "args": {
  19109. "name": "tower_2/max_pooling2d/MaxPool",
  19110. "op": "MaxPool"
  19111. }
  19112. },
  19113. {
  19114. "ph": "X",
  19115. "cat": "Op",
  19116. "name": "MaxPool",
  19117. "pid": 15,
  19118. "tid": 1,
  19119. "ts": 1539815916915062,
  19120. "dur": 100,
  19121. "args": {
  19122. "name": "max_pooling2d/MaxPool",
  19123. "op": "MaxPool"
  19124. }
  19125. },
  19126. {
  19127. "ph": "X",
  19128. "cat": "Op",
  19129. "name": "MaxPool",
  19130. "pid": 15,
  19131. "tid": 2,
  19132. "ts": 1539815916915083,
  19133. "dur": 101,
  19134. "args": {
  19135. "name": "tower_1/max_pooling2d/MaxPool",
  19136. "op": "MaxPool"
  19137. }
  19138. },
  19139. {
  19140. "ph": "X",
  19141. "cat": "Op",
  19142. "name": "MaxPool",
  19143. "pid": 15,
  19144. "tid": 3,
  19145. "ts": 1539815916915102,
  19146. "dur": 100,
  19147. "args": {
  19148. "name": "tower_3/max_pooling2d/MaxPool",
  19149. "op": "MaxPool"
  19150. }
  19151. },
  19152. {
  19153. "ph": "X",
  19154. "cat": "Op",
  19155. "name": "Mul",
  19156. "pid": 15,
  19157. "tid": 0,
  19158. "ts": 1539815916915167,
  19159. "dur": 32,
  19160. "args": {
  19161. "name": "dropout/dropout/div",
  19162. "op": "Mul"
  19163. }
  19164. },
  19165. {
  19166. "ph": "X",
  19167. "cat": "Op",
  19168. "name": "Mul",
  19169. "pid": 15,
  19170. "tid": 1,
  19171. "ts": 1539815916915187,
  19172. "dur": 34,
  19173. "args": {
  19174. "name": "tower_1/dropout/dropout/div",
  19175. "op": "Mul"
  19176. }
  19177. },
  19178. {
  19179. "ph": "X",
  19180. "cat": "Op",
  19181. "name": "Mul",
  19182. "pid": 15,
  19183. "tid": 0,
  19184. "ts": 1539815916915205,
  19185. "dur": 33,
  19186. "args": {
  19187. "name": "tower_3/dropout/dropout/div",
  19188. "op": "Mul"
  19189. }
  19190. },
  19191. {
  19192. "ph": "X",
  19193. "cat": "Op",
  19194. "name": "Mul",
  19195. "pid": 15,
  19196. "tid": 4,
  19197. "ts": 1539815916915164,
  19198. "dur": 33,
  19199. "args": {
  19200. "name": "tower_2/dropout/dropout/div",
  19201. "op": "Mul"
  19202. }
  19203. },
  19204. {
  19205. "ph": "X",
  19206. "cat": "Op",
  19207. "name": "RandomUniform",
  19208. "pid": 15,
  19209. "tid": 2,
  19210. "ts": 1539815916915203,
  19211. "dur": 22,
  19212. "args": {
  19213. "name": "dropout/dropout/random_uniform/RandomUniform",
  19214. "op": "RandomUniform"
  19215. }
  19216. },
  19217. {
  19218. "ph": "X",
  19219. "cat": "Op",
  19220. "name": "RandomUniform",
  19221. "pid": 15,
  19222. "tid": 1,
  19223. "ts": 1539815916915225,
  19224. "dur": 22,
  19225. "args": {
  19226. "name": "tower_1/dropout/dropout/random_uniform/RandomUniform",
  19227. "op": "RandomUniform"
  19228. }
  19229. },
  19230. {
  19231. "ph": "X",
  19232. "cat": "Op",
  19233. "name": "RandomUniform",
  19234. "pid": 15,
  19235. "tid": 3,
  19236. "ts": 1539815916915224,
  19237. "dur": 22,
  19238. "args": {
  19239. "name": "tower_2/dropout/dropout/random_uniform/RandomUniform",
  19240. "op": "RandomUniform"
  19241. }
  19242. },
  19243. {
  19244. "ph": "X",
  19245. "cat": "Op",
  19246. "name": "RandomUniform",
  19247. "pid": 15,
  19248. "tid": 0,
  19249. "ts": 1539815916915243,
  19250. "dur": 22,
  19251. "args": {
  19252. "name": "tower_3/dropout/dropout/random_uniform/RandomUniform",
  19253. "op": "RandomUniform"
  19254. }
  19255. },
  19256. {
  19257. "ph": "X",
  19258. "cat": "Op",
  19259. "name": "Add",
  19260. "pid": 15,
  19261. "tid": 1,
  19262. "ts": 1539815916915248,
  19263. "dur": 35,
  19264. "args": {
  19265. "name": "dropout/dropout/add",
  19266. "op": "Add"
  19267. }
  19268. },
  19269. {
  19270. "ph": "X",
  19271. "cat": "Op",
  19272. "name": "Add",
  19273. "pid": 15,
  19274. "tid": 2,
  19275. "ts": 1539815916915256,
  19276. "dur": 35,
  19277. "args": {
  19278. "name": "tower_1/dropout/dropout/add",
  19279. "op": "Add"
  19280. }
  19281. },
  19282. {
  19283. "ph": "X",
  19284. "cat": "Op",
  19285. "name": "Add",
  19286. "pid": 15,
  19287. "tid": 3,
  19288. "ts": 1539815916915257,
  19289. "dur": 34,
  19290. "args": {
  19291. "name": "tower_2/dropout/dropout/add",
  19292. "op": "Add"
  19293. }
  19294. },
  19295. {
  19296. "ph": "X",
  19297. "cat": "Op",
  19298. "name": "Floor",
  19299. "pid": 15,
  19300. "tid": 0,
  19301. "ts": 1539815916915296,
  19302. "dur": 35,
  19303. "args": {
  19304. "name": "tower_2/dropout/dropout/Floor",
  19305. "op": "Floor"
  19306. }
  19307. },
  19308. {
  19309. "ph": "X",
  19310. "cat": "Op",
  19311. "name": "Add",
  19312. "pid": 15,
  19313. "tid": 1,
  19314. "ts": 1539815916915302,
  19315. "dur": 35,
  19316. "args": {
  19317. "name": "tower_3/dropout/dropout/add",
  19318. "op": "Add"
  19319. }
  19320. },
  19321. {
  19322. "ph": "X",
  19323. "cat": "Op",
  19324. "name": "Floor",
  19325. "pid": 15,
  19326. "tid": 2,
  19327. "ts": 1539815916915316,
  19328. "dur": 37,
  19329. "args": {
  19330. "name": "tower_1/dropout/dropout/Floor",
  19331. "op": "Floor"
  19332. }
  19333. },
  19334. {
  19335. "ph": "X",
  19336. "cat": "Op",
  19337. "name": "Floor",
  19338. "pid": 15,
  19339. "tid": 0,
  19340. "ts": 1539815916915333,
  19341. "dur": 36,
  19342. "args": {
  19343. "name": "dropout/dropout/Floor",
  19344. "op": "Floor"
  19345. }
  19346. },
  19347. {
  19348. "ph": "X",
  19349. "cat": "Op",
  19350. "name": "Floor",
  19351. "pid": 15,
  19352. "tid": 1,
  19353. "ts": 1539815916915341,
  19354. "dur": 36,
  19355. "args": {
  19356. "name": "tower_3/dropout/dropout/Floor",
  19357. "op": "Floor"
  19358. }
  19359. },
  19360. {
  19361. "ph": "X",
  19362. "cat": "Op",
  19363. "name": "Transpose",
  19364. "pid": 15,
  19365. "tid": 0,
  19366. "ts": 1539815916918211,
  19367. "dur": 39,
  19368. "args": {
  19369. "name": "tower_2/dropout/dropout/mul-1-TransposeNHWCToNCHW-LayoutOptimizer",
  19370. "op": "Transpose"
  19371. }
  19372. },
  19373. {
  19374. "ph": "X",
  19375. "cat": "Op",
  19376. "name": "Transpose",
  19377. "pid": 15,
  19378. "tid": 1,
  19379. "ts": 1539815916918214,
  19380. "dur": 39,
  19381. "args": {
  19382. "name": "tower_1/dropout/dropout/mul-1-TransposeNHWCToNCHW-LayoutOptimizer",
  19383. "op": "Transpose"
  19384. }
  19385. },
  19386. {
  19387. "ph": "X",
  19388. "cat": "Op",
  19389. "name": "Transpose",
  19390. "pid": 15,
  19391. "tid": 2,
  19392. "ts": 1539815916918245,
  19393. "dur": 39,
  19394. "args": {
  19395. "name": "tower_3/dropout/dropout/mul-1-TransposeNHWCToNCHW-LayoutOptimizer",
  19396. "op": "Transpose"
  19397. }
  19398. },
  19399. {
  19400. "ph": "X",
  19401. "cat": "Op",
  19402. "name": "Transpose",
  19403. "pid": 15,
  19404. "tid": 0,
  19405. "ts": 1539815916918271,
  19406. "dur": 39,
  19407. "args": {
  19408. "name": "dropout/dropout/mul-1-TransposeNHWCToNCHW-LayoutOptimizer",
  19409. "op": "Transpose"
  19410. }
  19411. },
  19412. {
  19413. "ph": "X",
  19414. "cat": "Op",
  19415. "name": "Mul",
  19416. "pid": 15,
  19417. "tid": 1,
  19418. "ts": 1539815916918284,
  19419. "dur": 51,
  19420. "args": {
  19421. "name": "tower_2/dropout/dropout/mul",
  19422. "op": "Mul"
  19423. }
  19424. },
  19425. {
  19426. "ph": "X",
  19427. "cat": "Op",
  19428. "name": "Mul",
  19429. "pid": 15,
  19430. "tid": 2,
  19431. "ts": 1539815916918288,
  19432. "dur": 50,
  19433. "args": {
  19434. "name": "tower_1/dropout/dropout/mul",
  19435. "op": "Mul"
  19436. }
  19437. },
  19438. {
  19439. "ph": "X",
  19440. "cat": "Op",
  19441. "name": "Mul",
  19442. "pid": 15,
  19443. "tid": 0,
  19444. "ts": 1539815916918335,
  19445. "dur": 51,
  19446. "args": {
  19447. "name": "tower_3/dropout/dropout/mul",
  19448. "op": "Mul"
  19449. }
  19450. },
  19451. {
  19452. "ph": "X",
  19453. "cat": "Op",
  19454. "name": "Mul",
  19455. "pid": 15,
  19456. "tid": 1,
  19457. "ts": 1539815916918354,
  19458. "dur": 50,
  19459. "args": {
  19460. "name": "dropout/dropout/mul",
  19461. "op": "Mul"
  19462. }
  19463. },
  19464. {
  19465. "ph": "X",
  19466. "cat": "Op",
  19467. "name": "FusedBatchNorm",
  19468. "pid": 15,
  19469. "tid": 2,
  19470. "ts": 1539815916918380,
  19471. "dur": 95,
  19472. "args": {
  19473. "name": "tower_2/batch_normalization_1/FusedBatchNorm",
  19474. "op": "FusedBatchNorm"
  19475. }
  19476. },
  19477. {
  19478. "ph": "X",
  19479. "cat": "Op",
  19480. "name": "FusedBatchNorm",
  19481. "pid": 15,
  19482. "tid": 0,
  19483. "ts": 1539815916918398,
  19484. "dur": 94,
  19485. "args": {
  19486. "name": "tower_3/batch_normalization_1/FusedBatchNorm",
  19487. "op": "FusedBatchNorm"
  19488. }
  19489. },
  19490. {
  19491. "ph": "X",
  19492. "cat": "Op",
  19493. "name": "FusedBatchNorm",
  19494. "pid": 15,
  19495. "tid": 3,
  19496. "ts": 1539815916918402,
  19497. "dur": 95,
  19498. "args": {
  19499. "name": "tower_1/batch_normalization_1/FusedBatchNorm",
  19500. "op": "FusedBatchNorm"
  19501. }
  19502. },
  19503. {
  19504. "ph": "X",
  19505. "cat": "Op",
  19506. "name": "FusedBatchNorm",
  19507. "pid": 15,
  19508. "tid": 1,
  19509. "ts": 1539815916918417,
  19510. "dur": 95,
  19511. "args": {
  19512. "name": "batch_normalization_1/FusedBatchNorm",
  19513. "op": "FusedBatchNorm"
  19514. }
  19515. },
  19516. {
  19517. "ph": "X",
  19518. "cat": "Op",
  19519. "name": "Sub",
  19520. "pid": 15,
  19521. "tid": 2,
  19522. "ts": 1539815916918479,
  19523. "dur": 4,
  19524. "args": {
  19525. "name": "tower_2/batch_normalization_1/AssignMovingAvg/sub_1",
  19526. "op": "Sub"
  19527. }
  19528. },
  19529. {
  19530. "ph": "X",
  19531. "cat": "Op",
  19532. "name": "Sub",
  19533. "pid": 15,
  19534. "tid": 0,
  19535. "ts": 1539815916918495,
  19536. "dur": 4,
  19537. "args": {
  19538. "name": "tower_3/batch_normalization_1/AssignMovingAvg/sub_1",
  19539. "op": "Sub"
  19540. }
  19541. },
  19542. {
  19543. "ph": "X",
  19544. "cat": "Op",
  19545. "name": "Sub",
  19546. "pid": 15,
  19547. "tid": 0,
  19548. "ts": 1539815916918500,
  19549. "dur": 4,
  19550. "args": {
  19551. "name": "tower_1/batch_normalization_1/AssignMovingAvg/sub_1",
  19552. "op": "Sub"
  19553. }
  19554. },
  19555. {
  19556. "ph": "X",
  19557. "cat": "Op",
  19558. "name": "Sub",
  19559. "pid": 15,
  19560. "tid": 2,
  19561. "ts": 1539815916918486,
  19562. "dur": 3,
  19563. "args": {
  19564. "name": "tower_2/batch_normalization_1/AssignMovingAvg_1/sub_1",
  19565. "op": "Sub"
  19566. }
  19567. },
  19568. {
  19569. "ph": "X",
  19570. "cat": "Op",
  19571. "name": "Sub",
  19572. "pid": 15,
  19573. "tid": 0,
  19574. "ts": 1539815916918515,
  19575. "dur": 4,
  19576. "args": {
  19577. "name": "batch_normalization_1/AssignMovingAvg/sub_1",
  19578. "op": "Sub"
  19579. }
  19580. },
  19581. {
  19582. "ph": "X",
  19583. "cat": "Op",
  19584. "name": "Sub",
  19585. "pid": 15,
  19586. "tid": 2,
  19587. "ts": 1539815916918504,
  19588. "dur": 4,
  19589. "args": {
  19590. "name": "tower_3/batch_normalization_1/AssignMovingAvg_1/sub_1",
  19591. "op": "Sub"
  19592. }
  19593. },
  19594. {
  19595. "ph": "X",
  19596. "cat": "Op",
  19597. "name": "Sub",
  19598. "pid": 15,
  19599. "tid": 3,
  19600. "ts": 1539815916918507,
  19601. "dur": 3,
  19602. "args": {
  19603. "name": "tower_1/batch_normalization_1/AssignMovingAvg_1/sub_1",
  19604. "op": "Sub"
  19605. }
  19606. },
  19607. {
  19608. "ph": "X",
  19609. "cat": "Op",
  19610. "name": "Sub",
  19611. "pid": 15,
  19612. "tid": 0,
  19613. "ts": 1539815916918522,
  19614. "dur": 3,
  19615. "args": {
  19616. "name": "batch_normalization_1/AssignMovingAvg_1/sub_1",
  19617. "op": "Sub"
  19618. }
  19619. },
  19620. {
  19621. "ph": "X",
  19622. "cat": "Op",
  19623. "name": "Conv2D",
  19624. "pid": 15,
  19625. "tid": 2,
  19626. "ts": 1539815916918511,
  19627. "dur": 9,
  19628. "args": {
  19629. "name": "tower_3/conv2d_1/Conv2D",
  19630. "op": "Conv2D"
  19631. }
  19632. },
  19633. {
  19634. "ph": "X",
  19635. "cat": "Op",
  19636. "name": "Conv2D",
  19637. "pid": 15,
  19638. "tid": 4,
  19639. "ts": 1539815916918501,
  19640. "dur": 9,
  19641. "args": {
  19642. "name": "tower_2/conv2d_1/Conv2D",
  19643. "op": "Conv2D"
  19644. }
  19645. },
  19646. {
  19647. "ph": "X",
  19648. "cat": "Op",
  19649. "name": "Conv2D",
  19650. "pid": 15,
  19651. "tid": 0,
  19652. "ts": 1539815916918526,
  19653. "dur": 9,
  19654. "args": {
  19655. "name": "tower_1/conv2d_1/Conv2D",
  19656. "op": "Conv2D"
  19657. }
  19658. },
  19659. {
  19660. "ph": "X",
  19661. "cat": "Op",
  19662. "name": "Conv2D",
  19663. "pid": 15,
  19664. "tid": 1,
  19665. "ts": 1539815916918533,
  19666. "dur": 10,
  19667. "args": {
  19668. "name": "conv2d_1/Conv2D",
  19669. "op": "Conv2D"
  19670. }
  19671. },
  19672. {
  19673. "ph": "X",
  19674. "cat": "Op",
  19675. "name": "Conv2D",
  19676. "pid": 15,
  19677. "tid": 0,
  19678. "ts": 1539815916918554,
  19679. "dur": 2137,
  19680. "args": {
  19681. "name": "tower_3/conv2d_1/Conv2D",
  19682. "op": "Conv2D"
  19683. }
  19684. },
  19685. {
  19686. "ph": "X",
  19687. "cat": "Op",
  19688. "name": "Conv2D",
  19689. "pid": 15,
  19690. "tid": 1,
  19691. "ts": 1539815916918562,
  19692. "dur": 2137,
  19693. "args": {
  19694. "name": "tower_2/conv2d_1/Conv2D",
  19695. "op": "Conv2D"
  19696. }
  19697. },
  19698. {
  19699. "ph": "X",
  19700. "cat": "Op",
  19701. "name": "Conv2D",
  19702. "pid": 15,
  19703. "tid": 2,
  19704. "ts": 1539815916918586,
  19705. "dur": 2140,
  19706. "args": {
  19707. "name": "tower_1/conv2d_1/Conv2D",
  19708. "op": "Conv2D"
  19709. }
  19710. },
  19711. {
  19712. "ph": "X",
  19713. "cat": "Op",
  19714. "name": "Conv2D",
  19715. "pid": 15,
  19716. "tid": 3,
  19717. "ts": 1539815916918588,
  19718. "dur": 2134,
  19719. "args": {
  19720. "name": "conv2d_1/Conv2D",
  19721. "op": "Conv2D"
  19722. }
  19723. },
  19724. {
  19725. "ph": "X",
  19726. "cat": "Op",
  19727. "name": "Conv2D",
  19728. "pid": 15,
  19729. "tid": 0,
  19730. "ts": 1539815916920745,
  19731. "dur": 2144,
  19732. "args": {
  19733. "name": "tower_3/conv2d_1/Conv2D",
  19734. "op": "Conv2D"
  19735. }
  19736. },
  19737. {
  19738. "ph": "X",
  19739. "cat": "Op",
  19740. "name": "Conv2D",
  19741. "pid": 15,
  19742. "tid": 1,
  19743. "ts": 1539815916920751,
  19744. "dur": 2134,
  19745. "args": {
  19746. "name": "tower_2/conv2d_1/Conv2D",
  19747. "op": "Conv2D"
  19748. }
  19749. },
  19750. {
  19751. "ph": "X",
  19752. "cat": "Op",
  19753. "name": "Conv2D",
  19754. "pid": 15,
  19755. "tid": 2,
  19756. "ts": 1539815916920775,
  19757. "dur": 2141,
  19758. "args": {
  19759. "name": "conv2d_1/Conv2D",
  19760. "op": "Conv2D"
  19761. }
  19762. },
  19763. {
  19764. "ph": "X",
  19765. "cat": "Op",
  19766. "name": "Conv2D",
  19767. "pid": 15,
  19768. "tid": 3,
  19769. "ts": 1539815916920781,
  19770. "dur": 2139,
  19771. "args": {
  19772. "name": "tower_1/conv2d_1/Conv2D",
  19773. "op": "Conv2D"
  19774. }
  19775. },
  19776. {
  19777. "ph": "X",
  19778. "cat": "Op",
  19779. "name": "Conv2D",
  19780. "pid": 15,
  19781. "tid": 0,
  19782. "ts": 1539815916922952,
  19783. "dur": 4,
  19784. "args": {
  19785. "name": "tower_3/conv2d_1/Conv2D",
  19786. "op": "Conv2D"
  19787. }
  19788. },
  19789. {
  19790. "ph": "X",
  19791. "cat": "Op",
  19792. "name": "Conv2D",
  19793. "pid": 15,
  19794. "tid": 0,
  19795. "ts": 1539815916922963,
  19796. "dur": 4,
  19797. "args": {
  19798. "name": "tower_2/conv2d_1/Conv2D",
  19799. "op": "Conv2D"
  19800. }
  19801. },
  19802. {
  19803. "ph": "X",
  19804. "cat": "Op",
  19805. "name": "Conv2D",
  19806. "pid": 15,
  19807. "tid": 0,
  19808. "ts": 1539815916922969,
  19809. "dur": 1924,
  19810. "args": {
  19811. "name": "tower_3/conv2d_1/Conv2D",
  19812. "op": "Conv2D"
  19813. }
  19814. },
  19815. {
  19816. "ph": "X",
  19817. "cat": "Op",
  19818. "name": "Conv2D",
  19819. "pid": 15,
  19820. "tid": 1,
  19821. "ts": 1539815916922974,
  19822. "dur": 4,
  19823. "args": {
  19824. "name": "conv2d_1/Conv2D",
  19825. "op": "Conv2D"
  19826. }
  19827. },
  19828. {
  19829. "ph": "X",
  19830. "cat": "Op",
  19831. "name": "Conv2D",
  19832. "pid": 15,
  19833. "tid": 1,
  19834. "ts": 1539815916922980,
  19835. "dur": 1603,
  19836. "args": {
  19837. "name": "tower_2/conv2d_1/Conv2D",
  19838. "op": "Conv2D"
  19839. }
  19840. },
  19841. {
  19842. "ph": "X",
  19843. "cat": "Op",
  19844. "name": "Conv2D",
  19845. "pid": 15,
  19846. "tid": 2,
  19847. "ts": 1539815916922980,
  19848. "dur": 4,
  19849. "args": {
  19850. "name": "tower_1/conv2d_1/Conv2D",
  19851. "op": "Conv2D"
  19852. }
  19853. },
  19854. {
  19855. "ph": "X",
  19856. "cat": "Op",
  19857. "name": "Conv2D",
  19858. "pid": 15,
  19859. "tid": 2,
  19860. "ts": 1539815916922991,
  19861. "dur": 1919,
  19862. "args": {
  19863. "name": "conv2d_1/Conv2D",
  19864. "op": "Conv2D"
  19865. }
  19866. },
  19867. {
  19868. "ph": "X",
  19869. "cat": "Op",
  19870. "name": "Conv2D",
  19871. "pid": 15,
  19872. "tid": 3,
  19873. "ts": 1539815916922998,
  19874. "dur": 1931,
  19875. "args": {
  19876. "name": "tower_1/conv2d_1/Conv2D",
  19877. "op": "Conv2D"
  19878. }
  19879. },
  19880. {
  19881. "ph": "X",
  19882. "cat": "Op",
  19883. "name": "Conv2D",
  19884. "pid": 15,
  19885. "tid": 1,
  19886. "ts": 1539815916924637,
  19887. "dur": 4,
  19888. "args": {
  19889. "name": "tower_2/conv2d_1/Conv2D",
  19890. "op": "Conv2D"
  19891. }
  19892. },
  19893. {
  19894. "ph": "X",
  19895. "cat": "Op",
  19896. "name": "Conv2D",
  19897. "pid": 15,
  19898. "tid": 1,
  19899. "ts": 1539815916924651,
  19900. "dur": 1926,
  19901. "args": {
  19902. "name": "tower_2/conv2d_1/Conv2D",
  19903. "op": "Conv2D"
  19904. }
  19905. },
  19906. {
  19907. "ph": "X",
  19908. "cat": "Op",
  19909. "name": "Conv2D",
  19910. "pid": 15,
  19911. "tid": 0,
  19912. "ts": 1539815916924950,
  19913. "dur": 4,
  19914. "args": {
  19915. "name": "tower_3/conv2d_1/Conv2D",
  19916. "op": "Conv2D"
  19917. }
  19918. },
  19919. {
  19920. "ph": "X",
  19921. "cat": "Op",
  19922. "name": "Conv2D",
  19923. "pid": 15,
  19924. "tid": 0,
  19925. "ts": 1539815916924962,
  19926. "dur": 4,
  19927. "args": {
  19928. "name": "conv2d_1/Conv2D",
  19929. "op": "Conv2D"
  19930. }
  19931. },
  19932. {
  19933. "ph": "X",
  19934. "cat": "Op",
  19935. "name": "Conv2D",
  19936. "pid": 15,
  19937. "tid": 2,
  19938. "ts": 1539815916924966,
  19939. "dur": 1921,
  19940. "args": {
  19941. "name": "tower_3/conv2d_1/Conv2D",
  19942. "op": "Conv2D"
  19943. }
  19944. },
  19945. {
  19946. "ph": "X",
  19947. "cat": "Op",
  19948. "name": "Conv2D",
  19949. "pid": 15,
  19950. "tid": 0,
  19951. "ts": 1539815916924977,
  19952. "dur": 1599,
  19953. "args": {
  19954. "name": "conv2d_1/Conv2D",
  19955. "op": "Conv2D"
  19956. }
  19957. },
  19958. {
  19959. "ph": "X",
  19960. "cat": "Op",
  19961. "name": "Conv2D",
  19962. "pid": 15,
  19963. "tid": 3,
  19964. "ts": 1539815916924984,
  19965. "dur": 4,
  19966. "args": {
  19967. "name": "tower_1/conv2d_1/Conv2D",
  19968. "op": "Conv2D"
  19969. }
  19970. },
  19971. {
  19972. "ph": "X",
  19973. "cat": "Op",
  19974. "name": "Conv2D",
  19975. "pid": 15,
  19976. "tid": 3,
  19977. "ts": 1539815916924998,
  19978. "dur": 1926,
  19979. "args": {
  19980. "name": "tower_1/conv2d_1/Conv2D",
  19981. "op": "Conv2D"
  19982. }
  19983. },
  19984. {
  19985. "ph": "X",
  19986. "cat": "Op",
  19987. "name": "Conv2D",
  19988. "pid": 15,
  19989. "tid": 0,
  19990. "ts": 1539815916926620,
  19991. "dur": 605,
  19992. "args": {
  19993. "name": "conv2d_1/Conv2D",
  19994. "op": "Conv2D"
  19995. }
  19996. },
  19997. {
  19998. "ph": "X",
  19999. "cat": "Op",
  20000. "name": "Conv2D",
  20001. "pid": 15,
  20002. "tid": 1,
  20003. "ts": 1539815916926624,
  20004. "dur": 602,
  20005. "args": {
  20006. "name": "tower_2/conv2d_1/Conv2D",
  20007. "op": "Conv2D"
  20008. }
  20009. },
  20010. {
  20011. "ph": "X",
  20012. "cat": "Op",
  20013. "name": "Conv2D",
  20014. "pid": 15,
  20015. "tid": 0,
  20016. "ts": 1539815916927235,
  20017. "dur": 1960,
  20018. "args": {
  20019. "name": "conv2d_1/Conv2D",
  20020. "op": "Conv2D"
  20021. }
  20022. },
  20023. {
  20024. "ph": "X",
  20025. "cat": "Op",
  20026. "name": "Conv2D",
  20027. "pid": 15,
  20028. "tid": 1,
  20029. "ts": 1539815916927237,
  20030. "dur": 1970,
  20031. "args": {
  20032. "name": "tower_2/conv2d_1/Conv2D",
  20033. "op": "Conv2D"
  20034. }
  20035. },
  20036. {
  20037. "ph": "X",
  20038. "cat": "Op",
  20039. "name": "Conv2D",
  20040. "pid": 15,
  20041. "tid": 2,
  20042. "ts": 1539815916926936,
  20043. "dur": 607,
  20044. "args": {
  20045. "name": "tower_3/conv2d_1/Conv2D",
  20046. "op": "Conv2D"
  20047. }
  20048. },
  20049. {
  20050. "ph": "X",
  20051. "cat": "Op",
  20052. "name": "Conv2D",
  20053. "pid": 15,
  20054. "tid": 2,
  20055. "ts": 1539815916927553,
  20056. "dur": 1972,
  20057. "args": {
  20058. "name": "tower_3/conv2d_1/Conv2D",
  20059. "op": "Conv2D"
  20060. }
  20061. },
  20062. {
  20063. "ph": "X",
  20064. "cat": "Op",
  20065. "name": "Conv2D",
  20066. "pid": 15,
  20067. "tid": 3,
  20068. "ts": 1539815916926973,
  20069. "dur": 601,
  20070. "args": {
  20071. "name": "tower_1/conv2d_1/Conv2D",
  20072. "op": "Conv2D"
  20073. }
  20074. },
  20075. {
  20076. "ph": "X",
  20077. "cat": "Op",
  20078. "name": "Conv2D",
  20079. "pid": 15,
  20080. "tid": 3,
  20081. "ts": 1539815916927585,
  20082. "dur": 1970,
  20083. "args": {
  20084. "name": "tower_1/conv2d_1/Conv2D",
  20085. "op": "Conv2D"
  20086. }
  20087. },
  20088. {
  20089. "ph": "X",
  20090. "cat": "Op",
  20091. "name": "Conv2D",
  20092. "pid": 15,
  20093. "tid": 0,
  20094. "ts": 1539815916929257,
  20095. "dur": 603,
  20096. "args": {
  20097. "name": "tower_2/conv2d_1/Conv2D",
  20098. "op": "Conv2D"
  20099. }
  20100. },
  20101. {
  20102. "ph": "X",
  20103. "cat": "Op",
  20104. "name": "Conv2D",
  20105. "pid": 15,
  20106. "tid": 1,
  20107. "ts": 1539815916929263,
  20108. "dur": 602,
  20109. "args": {
  20110. "name": "conv2d_1/Conv2D",
  20111. "op": "Conv2D"
  20112. }
  20113. },
  20114. {
  20115. "ph": "X",
  20116. "cat": "Op",
  20117. "name": "Conv2D",
  20118. "pid": 15,
  20119. "tid": 0,
  20120. "ts": 1539815916929864,
  20121. "dur": 1976,
  20122. "args": {
  20123. "name": "tower_2/conv2d_1/Conv2D",
  20124. "op": "Conv2D"
  20125. }
  20126. },
  20127. {
  20128. "ph": "X",
  20129. "cat": "Op",
  20130. "name": "Conv2D",
  20131. "pid": 15,
  20132. "tid": 1,
  20133. "ts": 1539815916929868,
  20134. "dur": 1985,
  20135. "args": {
  20136. "name": "conv2d_1/Conv2D",
  20137. "op": "Conv2D"
  20138. }
  20139. },
  20140. {
  20141. "ph": "X",
  20142. "cat": "Op",
  20143. "name": "Conv2D",
  20144. "pid": 15,
  20145. "tid": 2,
  20146. "ts": 1539815916929572,
  20147. "dur": 605,
  20148. "args": {
  20149. "name": "tower_3/conv2d_1/Conv2D",
  20150. "op": "Conv2D"
  20151. }
  20152. },
  20153. {
  20154. "ph": "X",
  20155. "cat": "Op",
  20156. "name": "Conv2D",
  20157. "pid": 15,
  20158. "tid": 2,
  20159. "ts": 1539815916930180,
  20160. "dur": 1965,
  20161. "args": {
  20162. "name": "tower_3/conv2d_1/Conv2D",
  20163. "op": "Conv2D"
  20164. }
  20165. },
  20166. {
  20167. "ph": "X",
  20168. "cat": "Op",
  20169. "name": "Conv2D",
  20170. "pid": 15,
  20171. "tid": 3,
  20172. "ts": 1539815916929603,
  20173. "dur": 595,
  20174. "args": {
  20175. "name": "tower_1/conv2d_1/Conv2D",
  20176. "op": "Conv2D"
  20177. }
  20178. },
  20179. {
  20180. "ph": "X",
  20181. "cat": "Op",
  20182. "name": "Conv2D",
  20183. "pid": 15,
  20184. "tid": 3,
  20185. "ts": 1539815916930202,
  20186. "dur": 1972,
  20187. "args": {
  20188. "name": "tower_1/conv2d_1/Conv2D",
  20189. "op": "Conv2D"
  20190. }
  20191. },
  20192. {
  20193. "ph": "X",
  20194. "cat": "Op",
  20195. "name": "Conv2D",
  20196. "pid": 15,
  20197. "tid": 0,
  20198. "ts": 1539815916931913,
  20199. "dur": 17,
  20200. "args": {
  20201. "name": "tower_2/conv2d_1/Conv2D",
  20202. "op": "Conv2D"
  20203. }
  20204. },
  20205. {
  20206. "ph": "X",
  20207. "cat": "Op",
  20208. "name": "Conv2D",
  20209. "pid": 15,
  20210. "tid": 0,
  20211. "ts": 1539815916931933,
  20212. "dur": 65,
  20213. "args": {
  20214. "name": "tower_2/conv2d_1/Conv2D",
  20215. "op": "Conv2D"
  20216. }
  20217. },
  20218. {
  20219. "ph": "X",
  20220. "cat": "Op",
  20221. "name": "Conv2D",
  20222. "pid": 15,
  20223. "tid": 1,
  20224. "ts": 1539815916931928,
  20225. "dur": 16,
  20226. "args": {
  20227. "name": "conv2d_1/Conv2D",
  20228. "op": "Conv2D"
  20229. }
  20230. },
  20231. {
  20232. "ph": "X",
  20233. "cat": "Op",
  20234. "name": "Conv2D",
  20235. "pid": 15,
  20236. "tid": 0,
  20237. "ts": 1539815916932002,
  20238. "dur": 163,
  20239. "args": {
  20240. "name": "tower_2/conv2d_1/Conv2D",
  20241. "op": "Conv2D"
  20242. }
  20243. },
  20244. {
  20245. "ph": "X",
  20246. "cat": "Op",
  20247. "name": "Conv2D",
  20248. "pid": 15,
  20249. "tid": 1,
  20250. "ts": 1539815916931949,
  20251. "dur": 66,
  20252. "args": {
  20253. "name": "conv2d_1/Conv2D",
  20254. "op": "Conv2D"
  20255. }
  20256. },
  20257. {
  20258. "ph": "X",
  20259. "cat": "Op",
  20260. "name": "Conv2D",
  20261. "pid": 15,
  20262. "tid": 0,
  20263. "ts": 1539815916932170,
  20264. "dur": 4,
  20265. "args": {
  20266. "name": "tower_2/conv2d_1/Conv2D",
  20267. "op": "Conv2D"
  20268. }
  20269. },
  20270. {
  20271. "ph": "X",
  20272. "cat": "Op",
  20273. "name": "Conv2D",
  20274. "pid": 15,
  20275. "tid": 1,
  20276. "ts": 1539815916932019,
  20277. "dur": 161,
  20278. "args": {
  20279. "name": "conv2d_1/Conv2D",
  20280. "op": "Conv2D"
  20281. }
  20282. },
  20283. {
  20284. "ph": "X",
  20285. "cat": "Op",
  20286. "name": "Conv2D",
  20287. "pid": 15,
  20288. "tid": 0,
  20289. "ts": 1539815916932178,
  20290. "dur": 767,
  20291. "args": {
  20292. "name": "tower_2/conv2d_1/Conv2D",
  20293. "op": "Conv2D"
  20294. }
  20295. },
  20296. {
  20297. "ph": "X",
  20298. "cat": "Op",
  20299. "name": "Conv2D",
  20300. "pid": 15,
  20301. "tid": 1,
  20302. "ts": 1539815916932184,
  20303. "dur": 5,
  20304. "args": {
  20305. "name": "conv2d_1/Conv2D",
  20306. "op": "Conv2D"
  20307. }
  20308. },
  20309. {
  20310. "ph": "X",
  20311. "cat": "Op",
  20312. "name": "Conv2D",
  20313. "pid": 15,
  20314. "tid": 0,
  20315. "ts": 1539815916932950,
  20316. "dur": 261,
  20317. "args": {
  20318. "name": "tower_2/conv2d_1/Conv2D",
  20319. "op": "Conv2D"
  20320. }
  20321. },
  20322. {
  20323. "ph": "X",
  20324. "cat": "Op",
  20325. "name": "Conv2D",
  20326. "pid": 15,
  20327. "tid": 1,
  20328. "ts": 1539815916932193,
  20329. "dur": 764,
  20330. "args": {
  20331. "name": "conv2d_1/Conv2D",
  20332. "op": "Conv2D"
  20333. }
  20334. },
  20335. {
  20336. "ph": "X",
  20337. "cat": "Op",
  20338. "name": "Conv2D",
  20339. "pid": 15,
  20340. "tid": 1,
  20341. "ts": 1539815916932962,
  20342. "dur": 263,
  20343. "args": {
  20344. "name": "conv2d_1/Conv2D",
  20345. "op": "Conv2D"
  20346. }
  20347. },
  20348. {
  20349. "ph": "X",
  20350. "cat": "Op",
  20351. "name": "Conv2D",
  20352. "pid": 15,
  20353. "tid": 2,
  20354. "ts": 1539815916932218,
  20355. "dur": 17,
  20356. "args": {
  20357. "name": "tower_3/conv2d_1/Conv2D",
  20358. "op": "Conv2D"
  20359. }
  20360. },
  20361. {
  20362. "ph": "X",
  20363. "cat": "Op",
  20364. "name": "Conv2D",
  20365. "pid": 15,
  20366. "tid": 2,
  20367. "ts": 1539815916932238,
  20368. "dur": 68,
  20369. "args": {
  20370. "name": "tower_3/conv2d_1/Conv2D",
  20371. "op": "Conv2D"
  20372. }
  20373. },
  20374. {
  20375. "ph": "X",
  20376. "cat": "Op",
  20377. "name": "Conv2D",
  20378. "pid": 15,
  20379. "tid": 2,
  20380. "ts": 1539815916932310,
  20381. "dur": 161,
  20382. "args": {
  20383. "name": "tower_3/conv2d_1/Conv2D",
  20384. "op": "Conv2D"
  20385. }
  20386. },
  20387. {
  20388. "ph": "X",
  20389. "cat": "Op",
  20390. "name": "Conv2D",
  20391. "pid": 15,
  20392. "tid": 3,
  20393. "ts": 1539815916932250,
  20394. "dur": 16,
  20395. "args": {
  20396. "name": "tower_1/conv2d_1/Conv2D",
  20397. "op": "Conv2D"
  20398. }
  20399. },
  20400. {
  20401. "ph": "X",
  20402. "cat": "Op",
  20403. "name": "Conv2D",
  20404. "pid": 15,
  20405. "tid": 2,
  20406. "ts": 1539815916932476,
  20407. "dur": 4,
  20408. "args": {
  20409. "name": "tower_3/conv2d_1/Conv2D",
  20410. "op": "Conv2D"
  20411. }
  20412. },
  20413. {
  20414. "ph": "X",
  20415. "cat": "Op",
  20416. "name": "Conv2D",
  20417. "pid": 15,
  20418. "tid": 3,
  20419. "ts": 1539815916932271,
  20420. "dur": 66,
  20421. "args": {
  20422. "name": "tower_1/conv2d_1/Conv2D",
  20423. "op": "Conv2D"
  20424. }
  20425. },
  20426. {
  20427. "ph": "X",
  20428. "cat": "Op",
  20429. "name": "Conv2D",
  20430. "pid": 15,
  20431. "tid": 2,
  20432. "ts": 1539815916932484,
  20433. "dur": 764,
  20434. "args": {
  20435. "name": "tower_3/conv2d_1/Conv2D",
  20436. "op": "Conv2D"
  20437. }
  20438. },
  20439. {
  20440. "ph": "X",
  20441. "cat": "Op",
  20442. "name": "Conv2D",
  20443. "pid": 15,
  20444. "tid": 3,
  20445. "ts": 1539815916932340,
  20446. "dur": 162,
  20447. "args": {
  20448. "name": "tower_1/conv2d_1/Conv2D",
  20449. "op": "Conv2D"
  20450. }
  20451. },
  20452. {
  20453. "ph": "X",
  20454. "cat": "Op",
  20455. "name": "Conv2D",
  20456. "pid": 15,
  20457. "tid": 0,
  20458. "ts": 1539815916933252,
  20459. "dur": 260,
  20460. "args": {
  20461. "name": "tower_3/conv2d_1/Conv2D",
  20462. "op": "Conv2D"
  20463. }
  20464. },
  20465. {
  20466. "ph": "X",
  20467. "cat": "Op",
  20468. "name": "Conv2D",
  20469. "pid": 15,
  20470. "tid": 3,
  20471. "ts": 1539815916932507,
  20472. "dur": 4,
  20473. "args": {
  20474. "name": "tower_1/conv2d_1/Conv2D",
  20475. "op": "Conv2D"
  20476. }
  20477. },
  20478. {
  20479. "ph": "X",
  20480. "cat": "Op",
  20481. "name": "Conv2D",
  20482. "pid": 15,
  20483. "tid": 3,
  20484. "ts": 1539815916932514,
  20485. "dur": 766,
  20486. "args": {
  20487. "name": "tower_1/conv2d_1/Conv2D",
  20488. "op": "Conv2D"
  20489. }
  20490. },
  20491. {
  20492. "ph": "X",
  20493. "cat": "Op",
  20494. "name": "Conv2D",
  20495. "pid": 15,
  20496. "tid": 1,
  20497. "ts": 1539815916933284,
  20498. "dur": 264,
  20499. "args": {
  20500. "name": "tower_1/conv2d_1/Conv2D",
  20501. "op": "Conv2D"
  20502. }
  20503. },
  20504. {
  20505. "ph": "X",
  20506. "cat": "Op",
  20507. "name": "Conv2D",
  20508. "pid": 15,
  20509. "tid": 2,
  20510. "ts": 1539815916933259,
  20511. "dur": 17,
  20512. "args": {
  20513. "name": "tower_2/conv2d_1/Conv2D",
  20514. "op": "Conv2D"
  20515. }
  20516. },
  20517. {
  20518. "ph": "X",
  20519. "cat": "Op",
  20520. "name": "Conv2D",
  20521. "pid": 15,
  20522. "tid": 2,
  20523. "ts": 1539815916933280,
  20524. "dur": 65,
  20525. "args": {
  20526. "name": "tower_2/conv2d_1/Conv2D",
  20527. "op": "Conv2D"
  20528. }
  20529. },
  20530. {
  20531. "ph": "X",
  20532. "cat": "Op",
  20533. "name": "Conv2D",
  20534. "pid": 15,
  20535. "tid": 4,
  20536. "ts": 1539815916933275,
  20537. "dur": 17,
  20538. "args": {
  20539. "name": "conv2d_1/Conv2D",
  20540. "op": "Conv2D"
  20541. }
  20542. },
  20543. {
  20544. "ph": "X",
  20545. "cat": "Op",
  20546. "name": "Conv2D",
  20547. "pid": 15,
  20548. "tid": 2,
  20549. "ts": 1539815916933348,
  20550. "dur": 161,
  20551. "args": {
  20552. "name": "tower_2/conv2d_1/Conv2D",
  20553. "op": "Conv2D"
  20554. }
  20555. },
  20556. {
  20557. "ph": "X",
  20558. "cat": "Op",
  20559. "name": "Conv2D",
  20560. "pid": 15,
  20561. "tid": 3,
  20562. "ts": 1539815916933295,
  20563. "dur": 64,
  20564. "args": {
  20565. "name": "conv2d_1/Conv2D",
  20566. "op": "Conv2D"
  20567. }
  20568. },
  20569. {
  20570. "ph": "X",
  20571. "cat": "Op",
  20572. "name": "Conv2D",
  20573. "pid": 15,
  20574. "tid": 0,
  20575. "ts": 1539815916933514,
  20576. "dur": 4,
  20577. "args": {
  20578. "name": "tower_2/conv2d_1/Conv2D",
  20579. "op": "Conv2D"
  20580. }
  20581. },
  20582. {
  20583. "ph": "X",
  20584. "cat": "Op",
  20585. "name": "Conv2D",
  20586. "pid": 15,
  20587. "tid": 3,
  20588. "ts": 1539815916933364,
  20589. "dur": 156,
  20590. "args": {
  20591. "name": "conv2d_1/Conv2D",
  20592. "op": "Conv2D"
  20593. }
  20594. },
  20595. {
  20596. "ph": "X",
  20597. "cat": "Op",
  20598. "name": "Conv2D",
  20599. "pid": 15,
  20600. "tid": 0,
  20601. "ts": 1539815916933522,
  20602. "dur": 764,
  20603. "args": {
  20604. "name": "tower_2/conv2d_1/Conv2D",
  20605. "op": "Conv2D"
  20606. }
  20607. },
  20608. {
  20609. "ph": "X",
  20610. "cat": "Op",
  20611. "name": "Conv2D",
  20612. "pid": 15,
  20613. "tid": 2,
  20614. "ts": 1539815916933525,
  20615. "dur": 5,
  20616. "args": {
  20617. "name": "conv2d_1/Conv2D",
  20618. "op": "Conv2D"
  20619. }
  20620. },
  20621. {
  20622. "ph": "X",
  20623. "cat": "Op",
  20624. "name": "Conv2D",
  20625. "pid": 15,
  20626. "tid": 0,
  20627. "ts": 1539815916934291,
  20628. "dur": 260,
  20629. "args": {
  20630. "name": "tower_2/conv2d_1/Conv2D",
  20631. "op": "Conv2D"
  20632. }
  20633. },
  20634. {
  20635. "ph": "X",
  20636. "cat": "Op",
  20637. "name": "Conv2D",
  20638. "pid": 15,
  20639. "tid": 2,
  20640. "ts": 1539815916933533,
  20641. "dur": 764,
  20642. "args": {
  20643. "name": "conv2d_1/Conv2D",
  20644. "op": "Conv2D"
  20645. }
  20646. },
  20647. {
  20648. "ph": "X",
  20649. "cat": "Op",
  20650. "name": "Conv2D",
  20651. "pid": 15,
  20652. "tid": 1,
  20653. "ts": 1539815916934302,
  20654. "dur": 264,
  20655. "args": {
  20656. "name": "conv2d_1/Conv2D",
  20657. "op": "Conv2D"
  20658. }
  20659. },
  20660. {
  20661. "ph": "X",
  20662. "cat": "Op",
  20663. "name": "Conv2D",
  20664. "pid": 15,
  20665. "tid": 3,
  20666. "ts": 1539815916933558,
  20667. "dur": 17,
  20668. "args": {
  20669. "name": "tower_3/conv2d_1/Conv2D",
  20670. "op": "Conv2D"
  20671. }
  20672. },
  20673. {
  20674. "ph": "X",
  20675. "cat": "Op",
  20676. "name": "Conv2D",
  20677. "pid": 15,
  20678. "tid": 3,
  20679. "ts": 1539815916933580,
  20680. "dur": 64,
  20681. "args": {
  20682. "name": "tower_3/conv2d_1/Conv2D",
  20683. "op": "Conv2D"
  20684. }
  20685. },
  20686. {
  20687. "ph": "X",
  20688. "cat": "Op",
  20689. "name": "Conv2D",
  20690. "pid": 15,
  20691. "tid": 3,
  20692. "ts": 1539815916933648,
  20693. "dur": 167,
  20694. "args": {
  20695. "name": "tower_3/conv2d_1/Conv2D",
  20696. "op": "Conv2D"
  20697. }
  20698. },
  20699. {
  20700. "ph": "X",
  20701. "cat": "Op",
  20702. "name": "Conv2D",
  20703. "pid": 15,
  20704. "tid": 3,
  20705. "ts": 1539815916933820,
  20706. "dur": 4,
  20707. "args": {
  20708. "name": "tower_3/conv2d_1/Conv2D",
  20709. "op": "Conv2D"
  20710. }
  20711. },
  20712. {
  20713. "ph": "X",
  20714. "cat": "Op",
  20715. "name": "Conv2D",
  20716. "pid": 15,
  20717. "tid": 4,
  20718. "ts": 1539815916933597,
  20719. "dur": 17,
  20720. "args": {
  20721. "name": "tower_1/conv2d_1/Conv2D",
  20722. "op": "Conv2D"
  20723. }
  20724. },
  20725. {
  20726. "ph": "X",
  20727. "cat": "Op",
  20728. "name": "Conv2D",
  20729. "pid": 15,
  20730. "tid": 3,
  20731. "ts": 1539815916933829,
  20732. "dur": 766,
  20733. "args": {
  20734. "name": "tower_3/conv2d_1/Conv2D",
  20735. "op": "Conv2D"
  20736. }
  20737. },
  20738. {
  20739. "ph": "X",
  20740. "cat": "Op",
  20741. "name": "Conv2D",
  20742. "pid": 15,
  20743. "tid": 4,
  20744. "ts": 1539815916933617,
  20745. "dur": 67,
  20746. "args": {
  20747. "name": "tower_1/conv2d_1/Conv2D",
  20748. "op": "Conv2D"
  20749. }
  20750. },
  20751. {
  20752. "ph": "X",
  20753. "cat": "Op",
  20754. "name": "Conv2D",
  20755. "pid": 15,
  20756. "tid": 0,
  20757. "ts": 1539815916934599,
  20758. "dur": 259,
  20759. "args": {
  20760. "name": "tower_3/conv2d_1/Conv2D",
  20761. "op": "Conv2D"
  20762. }
  20763. },
  20764. {
  20765. "ph": "X",
  20766. "cat": "Op",
  20767. "name": "Conv2D",
  20768. "pid": 15,
  20769. "tid": 4,
  20770. "ts": 1539815916933688,
  20771. "dur": 158,
  20772. "args": {
  20773. "name": "tower_1/conv2d_1/Conv2D",
  20774. "op": "Conv2D"
  20775. }
  20776. },
  20777. {
  20778. "ph": "X",
  20779. "cat": "Op",
  20780. "name": "Conv2D",
  20781. "pid": 15,
  20782. "tid": 4,
  20783. "ts": 1539815916933851,
  20784. "dur": 5,
  20785. "args": {
  20786. "name": "tower_1/conv2d_1/Conv2D",
  20787. "op": "Conv2D"
  20788. }
  20789. },
  20790. {
  20791. "ph": "X",
  20792. "cat": "Op",
  20793. "name": "Conv2D",
  20794. "pid": 15,
  20795. "tid": 4,
  20796. "ts": 1539815916933859,
  20797. "dur": 763,
  20798. "args": {
  20799. "name": "tower_1/conv2d_1/Conv2D",
  20800. "op": "Conv2D"
  20801. }
  20802. },
  20803. {
  20804. "ph": "X",
  20805. "cat": "Op",
  20806. "name": "Conv2D",
  20807. "pid": 15,
  20808. "tid": 1,
  20809. "ts": 1539815916934627,
  20810. "dur": 264,
  20811. "args": {
  20812. "name": "tower_1/conv2d_1/Conv2D",
  20813. "op": "Conv2D"
  20814. }
  20815. },
  20816. {
  20817. "ph": "X",
  20818. "cat": "Op",
  20819. "name": "Conv2D",
  20820. "pid": 15,
  20821. "tid": 2,
  20822. "ts": 1539815916934625,
  20823. "dur": 67,
  20824. "args": {
  20825. "name": "tower_2/conv2d_1/Conv2D",
  20826. "op": "Conv2D"
  20827. }
  20828. },
  20829. {
  20830. "ph": "X",
  20831. "cat": "Op",
  20832. "name": "Conv2D",
  20833. "pid": 15,
  20834. "tid": 2,
  20835. "ts": 1539815916934697,
  20836. "dur": 164,
  20837. "args": {
  20838. "name": "tower_2/conv2d_1/Conv2D",
  20839. "op": "Conv2D"
  20840. }
  20841. },
  20842. {
  20843. "ph": "X",
  20844. "cat": "Op",
  20845. "name": "Conv2D",
  20846. "pid": 15,
  20847. "tid": 3,
  20848. "ts": 1539815916934641,
  20849. "dur": 67,
  20850. "args": {
  20851. "name": "conv2d_1/Conv2D",
  20852. "op": "Conv2D"
  20853. }
  20854. },
  20855. {
  20856. "ph": "X",
  20857. "cat": "Op",
  20858. "name": "Conv2D",
  20859. "pid": 15,
  20860. "tid": 0,
  20861. "ts": 1539815916934871,
  20862. "dur": 644,
  20863. "args": {
  20864. "name": "tower_2/conv2d_1/Conv2D",
  20865. "op": "Conv2D"
  20866. }
  20867. },
  20868. {
  20869. "ph": "X",
  20870. "cat": "Op",
  20871. "name": "Conv2D",
  20872. "pid": 15,
  20873. "tid": 3,
  20874. "ts": 1539815916934713,
  20875. "dur": 162,
  20876. "args": {
  20877. "name": "conv2d_1/Conv2D",
  20878. "op": "Conv2D"
  20879. }
  20880. },
  20881. {
  20882. "ph": "X",
  20883. "cat": "Op",
  20884. "name": "Conv2D",
  20885. "pid": 15,
  20886. "tid": 0,
  20887. "ts": 1539815916935518,
  20888. "dur": 263,
  20889. "args": {
  20890. "name": "tower_2/conv2d_1/Conv2D",
  20891. "op": "Conv2D"
  20892. }
  20893. },
  20894. {
  20895. "ph": "X",
  20896. "cat": "Op",
  20897. "name": "Conv2D",
  20898. "pid": 15,
  20899. "tid": 2,
  20900. "ts": 1539815916934885,
  20901. "dur": 643,
  20902. "args": {
  20903. "name": "conv2d_1/Conv2D",
  20904. "op": "Conv2D"
  20905. }
  20906. },
  20907. {
  20908. "ph": "X",
  20909. "cat": "Op",
  20910. "name": "Conv2D",
  20911. "pid": 15,
  20912. "tid": 1,
  20913. "ts": 1539815916935531,
  20914. "dur": 264,
  20915. "args": {
  20916. "name": "conv2d_1/Conv2D",
  20917. "op": "Conv2D"
  20918. }
  20919. },
  20920. {
  20921. "ph": "X",
  20922. "cat": "Op",
  20923. "name": "Conv2D",
  20924. "pid": 15,
  20925. "tid": 3,
  20926. "ts": 1539815916934936,
  20927. "dur": 67,
  20928. "args": {
  20929. "name": "tower_3/conv2d_1/Conv2D",
  20930. "op": "Conv2D"
  20931. }
  20932. },
  20933. {
  20934. "ph": "X",
  20935. "cat": "Op",
  20936. "name": "Conv2D",
  20937. "pid": 15,
  20938. "tid": 3,
  20939. "ts": 1539815916935007,
  20940. "dur": 163,
  20941. "args": {
  20942. "name": "tower_3/conv2d_1/Conv2D",
  20943. "op": "Conv2D"
  20944. }
  20945. },
  20946. {
  20947. "ph": "X",
  20948. "cat": "Op",
  20949. "name": "Conv2D",
  20950. "pid": 15,
  20951. "tid": 3,
  20952. "ts": 1539815916935180,
  20953. "dur": 646,
  20954. "args": {
  20955. "name": "tower_3/conv2d_1/Conv2D",
  20956. "op": "Conv2D"
  20957. }
  20958. },
  20959. {
  20960. "ph": "X",
  20961. "cat": "Op",
  20962. "name": "Conv2D",
  20963. "pid": 15,
  20964. "tid": 4,
  20965. "ts": 1539815916934973,
  20966. "dur": 66,
  20967. "args": {
  20968. "name": "tower_1/conv2d_1/Conv2D",
  20969. "op": "Conv2D"
  20970. }
  20971. },
  20972. {
  20973. "ph": "X",
  20974. "cat": "Op",
  20975. "name": "Conv2D",
  20976. "pid": 15,
  20977. "tid": 0,
  20978. "ts": 1539815916935829,
  20979. "dur": 258,
  20980. "args": {
  20981. "name": "tower_3/conv2d_1/Conv2D",
  20982. "op": "Conv2D"
  20983. }
  20984. },
  20985. {
  20986. "ph": "X",
  20987. "cat": "Op",
  20988. "name": "Conv2D",
  20989. "pid": 15,
  20990. "tid": 4,
  20991. "ts": 1539815916935043,
  20992. "dur": 169,
  20993. "args": {
  20994. "name": "tower_1/conv2d_1/Conv2D",
  20995. "op": "Conv2D"
  20996. }
  20997. },
  20998. {
  20999. "ph": "X",
  21000. "cat": "Op",
  21001. "name": "Conv2D",
  21002. "pid": 15,
  21003. "tid": 4,
  21004. "ts": 1539815916935224,
  21005. "dur": 647,
  21006. "args": {
  21007. "name": "tower_1/conv2d_1/Conv2D",
  21008. "op": "Conv2D"
  21009. }
  21010. },
  21011. {
  21012. "ph": "X",
  21013. "cat": "Op",
  21014. "name": "Conv2D",
  21015. "pid": 15,
  21016. "tid": 1,
  21017. "ts": 1539815916935874,
  21018. "dur": 263,
  21019. "args": {
  21020. "name": "tower_1/conv2d_1/Conv2D",
  21021. "op": "Conv2D"
  21022. }
  21023. },
  21024. {
  21025. "ph": "X",
  21026. "cat": "Op",
  21027. "name": "Conv2D",
  21028. "pid": 15,
  21029. "tid": 2,
  21030. "ts": 1539815916935841,
  21031. "dur": 68,
  21032. "args": {
  21033. "name": "tower_2/conv2d_1/Conv2D",
  21034. "op": "Conv2D"
  21035. }
  21036. },
  21037. {
  21038. "ph": "X",
  21039. "cat": "Op",
  21040. "name": "Conv2D",
  21041. "pid": 15,
  21042. "tid": 3,
  21043. "ts": 1539815916935853,
  21044. "dur": 67,
  21045. "args": {
  21046. "name": "conv2d_1/Conv2D",
  21047. "op": "Conv2D"
  21048. }
  21049. },
  21050. {
  21051. "ph": "X",
  21052. "cat": "Op",
  21053. "name": "Conv2D",
  21054. "pid": 15,
  21055. "tid": 2,
  21056. "ts": 1539815916935913,
  21057. "dur": 161,
  21058. "args": {
  21059. "name": "tower_2/conv2d_1/Conv2D",
  21060. "op": "Conv2D"
  21061. }
  21062. },
  21063. {
  21064. "ph": "X",
  21065. "cat": "Op",
  21066. "name": "Conv2D",
  21067. "pid": 15,
  21068. "tid": 2,
  21069. "ts": 1539815916936083,
  21070. "dur": 648,
  21071. "args": {
  21072. "name": "tower_2/conv2d_1/Conv2D",
  21073. "op": "Conv2D"
  21074. }
  21075. },
  21076. {
  21077. "ph": "X",
  21078. "cat": "Op",
  21079. "name": "Conv2D",
  21080. "pid": 15,
  21081. "tid": 3,
  21082. "ts": 1539815916935925,
  21083. "dur": 166,
  21084. "args": {
  21085. "name": "conv2d_1/Conv2D",
  21086. "op": "Conv2D"
  21087. }
  21088. },
  21089. {
  21090. "ph": "X",
  21091. "cat": "Op",
  21092. "name": "Conv2D",
  21093. "pid": 15,
  21094. "tid": 0,
  21095. "ts": 1539815916936736,
  21096. "dur": 261,
  21097. "args": {
  21098. "name": "tower_2/conv2d_1/Conv2D",
  21099. "op": "Conv2D"
  21100. }
  21101. },
  21102. {
  21103. "ph": "X",
  21104. "cat": "Op",
  21105. "name": "Conv2D",
  21106. "pid": 15,
  21107. "tid": 3,
  21108. "ts": 1539815916936101,
  21109. "dur": 648,
  21110. "args": {
  21111. "name": "conv2d_1/Conv2D",
  21112. "op": "Conv2D"
  21113. }
  21114. },
  21115. {
  21116. "ph": "X",
  21117. "cat": "Op",
  21118. "name": "Conv2D",
  21119. "pid": 15,
  21120. "tid": 1,
  21121. "ts": 1539815916936752,
  21122. "dur": 263,
  21123. "args": {
  21124. "name": "conv2d_1/Conv2D",
  21125. "op": "Conv2D"
  21126. }
  21127. },
  21128. {
  21129. "ph": "X",
  21130. "cat": "Op",
  21131. "name": "Conv2D",
  21132. "pid": 15,
  21133. "tid": 4,
  21134. "ts": 1539815916936143,
  21135. "dur": 67,
  21136. "args": {
  21137. "name": "tower_3/conv2d_1/Conv2D",
  21138. "op": "Conv2D"
  21139. }
  21140. },
  21141. {
  21142. "ph": "X",
  21143. "cat": "Op",
  21144. "name": "Conv2D",
  21145. "pid": 15,
  21146. "tid": 4,
  21147. "ts": 1539815916936215,
  21148. "dur": 166,
  21149. "args": {
  21150. "name": "tower_3/conv2d_1/Conv2D",
  21151. "op": "Conv2D"
  21152. }
  21153. },
  21154. {
  21155. "ph": "X",
  21156. "cat": "Op",
  21157. "name": "Conv2D",
  21158. "pid": 15,
  21159. "tid": 4,
  21160. "ts": 1539815916936390,
  21161. "dur": 644,
  21162. "args": {
  21163. "name": "tower_3/conv2d_1/Conv2D",
  21164. "op": "Conv2D"
  21165. }
  21166. },
  21167. {
  21168. "ph": "X",
  21169. "cat": "Op",
  21170. "name": "Conv2D",
  21171. "pid": 15,
  21172. "tid": 0,
  21173. "ts": 1539815916937037,
  21174. "dur": 259,
  21175. "args": {
  21176. "name": "tower_3/conv2d_1/Conv2D",
  21177. "op": "Conv2D"
  21178. }
  21179. },
  21180. {
  21181. "ph": "X",
  21182. "cat": "Op",
  21183. "name": "Conv2D",
  21184. "pid": 15,
  21185. "tid": 5,
  21186. "ts": 1539815916936193,
  21187. "dur": 66,
  21188. "args": {
  21189. "name": "tower_1/conv2d_1/Conv2D",
  21190. "op": "Conv2D"
  21191. }
  21192. },
  21193. {
  21194. "ph": "X",
  21195. "cat": "Op",
  21196. "name": "Conv2D",
  21197. "pid": 15,
  21198. "tid": 5,
  21199. "ts": 1539815916936264,
  21200. "dur": 162,
  21201. "args": {
  21202. "name": "tower_1/conv2d_1/Conv2D",
  21203. "op": "Conv2D"
  21204. }
  21205. },
  21206. {
  21207. "ph": "X",
  21208. "cat": "Op",
  21209. "name": "Conv2D",
  21210. "pid": 15,
  21211. "tid": 5,
  21212. "ts": 1539815916936438,
  21213. "dur": 645,
  21214. "args": {
  21215. "name": "tower_1/conv2d_1/Conv2D",
  21216. "op": "Conv2D"
  21217. }
  21218. },
  21219. {
  21220. "ph": "X",
  21221. "cat": "Op",
  21222. "name": "Conv2D",
  21223. "pid": 15,
  21224. "tid": 1,
  21225. "ts": 1539815916937086,
  21226. "dur": 261,
  21227. "args": {
  21228. "name": "tower_1/conv2d_1/Conv2D",
  21229. "op": "Conv2D"
  21230. }
  21231. },
  21232. {
  21233. "ph": "X",
  21234. "cat": "Op",
  21235. "name": "Conv2D",
  21236. "pid": 15,
  21237. "tid": 2,
  21238. "ts": 1539815916937043,
  21239. "dur": 172,
  21240. "args": {
  21241. "name": "tower_2/conv2d_1/Conv2D",
  21242. "op": "Conv2D"
  21243. }
  21244. },
  21245. {
  21246. "ph": "X",
  21247. "cat": "Op",
  21248. "name": "Conv2D",
  21249. "pid": 15,
  21250. "tid": 2,
  21251. "ts": 1539815916937218,
  21252. "dur": 16,
  21253. "args": {
  21254. "name": "tower_2/conv2d_1/Conv2D",
  21255. "op": "Conv2D"
  21256. }
  21257. },
  21258. {
  21259. "ph": "X",
  21260. "cat": "Op",
  21261. "name": "Conv2D",
  21262. "pid": 15,
  21263. "tid": 3,
  21264. "ts": 1539815916937063,
  21265. "dur": 169,
  21266. "args": {
  21267. "name": "conv2d_1/Conv2D",
  21268. "op": "Conv2D"
  21269. }
  21270. },
  21271. {
  21272. "ph": "X",
  21273. "cat": "Op",
  21274. "name": "Conv2D",
  21275. "pid": 15,
  21276. "tid": 2,
  21277. "ts": 1539815916937238,
  21278. "dur": 248,
  21279. "args": {
  21280. "name": "tower_2/conv2d_1/Conv2D",
  21281. "op": "Conv2D"
  21282. }
  21283. },
  21284. {
  21285. "ph": "X",
  21286. "cat": "Op",
  21287. "name": "Conv2D",
  21288. "pid": 15,
  21289. "tid": 3,
  21290. "ts": 1539815916937237,
  21291. "dur": 16,
  21292. "args": {
  21293. "name": "conv2d_1/Conv2D",
  21294. "op": "Conv2D"
  21295. }
  21296. },
  21297. {
  21298. "ph": "X",
  21299. "cat": "Op",
  21300. "name": "Conv2D",
  21301. "pid": 15,
  21302. "tid": 0,
  21303. "ts": 1539815916937490,
  21304. "dur": 283,
  21305. "args": {
  21306. "name": "tower_2/conv2d_1/Conv2D",
  21307. "op": "Conv2D"
  21308. }
  21309. },
  21310. {
  21311. "ph": "X",
  21312. "cat": "Op",
  21313. "name": "Conv2D",
  21314. "pid": 15,
  21315. "tid": 3,
  21316. "ts": 1539815916937257,
  21317. "dur": 250,
  21318. "args": {
  21319. "name": "conv2d_1/Conv2D",
  21320. "op": "Conv2D"
  21321. }
  21322. },
  21323. {
  21324. "ph": "X",
  21325. "cat": "Op",
  21326. "name": "Conv2D",
  21327. "pid": 15,
  21328. "tid": 1,
  21329. "ts": 1539815916937511,
  21330. "dur": 286,
  21331. "args": {
  21332. "name": "conv2d_1/Conv2D",
  21333. "op": "Conv2D"
  21334. }
  21335. },
  21336. {
  21337. "ph": "X",
  21338. "cat": "Op",
  21339. "name": "Conv2D",
  21340. "pid": 15,
  21341. "tid": 4,
  21342. "ts": 1539815916937340,
  21343. "dur": 175,
  21344. "args": {
  21345. "name": "tower_3/conv2d_1/Conv2D",
  21346. "op": "Conv2D"
  21347. }
  21348. },
  21349. {
  21350. "ph": "X",
  21351. "cat": "Op",
  21352. "name": "Conv2D",
  21353. "pid": 15,
  21354. "tid": 2,
  21355. "ts": 1539815916937518,
  21356. "dur": 16,
  21357. "args": {
  21358. "name": "tower_3/conv2d_1/Conv2D",
  21359. "op": "Conv2D"
  21360. }
  21361. },
  21362. {
  21363. "ph": "X",
  21364. "cat": "Op",
  21365. "name": "Conv2D",
  21366. "pid": 15,
  21367. "tid": 2,
  21368. "ts": 1539815916937538,
  21369. "dur": 247,
  21370. "args": {
  21371. "name": "tower_3/conv2d_1/Conv2D",
  21372. "op": "Conv2D"
  21373. }
  21374. },
  21375. {
  21376. "ph": "X",
  21377. "cat": "Op",
  21378. "name": "Conv2D",
  21379. "pid": 15,
  21380. "tid": 0,
  21381. "ts": 1539815916937788,
  21382. "dur": 286,
  21383. "args": {
  21384. "name": "tower_3/conv2d_1/Conv2D",
  21385. "op": "Conv2D"
  21386. }
  21387. },
  21388. {
  21389. "ph": "X",
  21390. "cat": "Op",
  21391. "name": "Conv2D",
  21392. "pid": 15,
  21393. "tid": 5,
  21394. "ts": 1539815916937393,
  21395. "dur": 172,
  21396. "args": {
  21397. "name": "tower_1/conv2d_1/Conv2D",
  21398. "op": "Conv2D"
  21399. }
  21400. },
  21401. {
  21402. "ph": "X",
  21403. "cat": "Op",
  21404. "name": "Conv2D",
  21405. "pid": 15,
  21406. "tid": 3,
  21407. "ts": 1539815916937568,
  21408. "dur": 16,
  21409. "args": {
  21410. "name": "tower_1/conv2d_1/Conv2D",
  21411. "op": "Conv2D"
  21412. }
  21413. },
  21414. {
  21415. "ph": "X",
  21416. "cat": "Op",
  21417. "name": "Conv2D",
  21418. "pid": 15,
  21419. "tid": 3,
  21420. "ts": 1539815916937588,
  21421. "dur": 248,
  21422. "args": {
  21423. "name": "tower_1/conv2d_1/Conv2D",
  21424. "op": "Conv2D"
  21425. }
  21426. },
  21427. {
  21428. "ph": "X",
  21429. "cat": "Op",
  21430. "name": "Conv2D",
  21431. "pid": 15,
  21432. "tid": 1,
  21433. "ts": 1539815916937841,
  21434. "dur": 283,
  21435. "args": {
  21436. "name": "tower_1/conv2d_1/Conv2D",
  21437. "op": "Conv2D"
  21438. }
  21439. },
  21440. {
  21441. "ph": "X",
  21442. "cat": "Op",
  21443. "name": "Conv2D",
  21444. "pid": 15,
  21445. "tid": 2,
  21446. "ts": 1539815916937817,
  21447. "dur": 176,
  21448. "args": {
  21449. "name": "tower_2/conv2d_1/Conv2D",
  21450. "op": "Conv2D"
  21451. }
  21452. },
  21453. {
  21454. "ph": "X",
  21455. "cat": "Op",
  21456. "name": "Conv2D",
  21457. "pid": 15,
  21458. "tid": 2,
  21459. "ts": 1539815916937996,
  21460. "dur": 16,
  21461. "args": {
  21462. "name": "tower_2/conv2d_1/Conv2D",
  21463. "op": "Conv2D"
  21464. }
  21465. },
  21466. {
  21467. "ph": "X",
  21468. "cat": "Op",
  21469. "name": "Conv2D",
  21470. "pid": 15,
  21471. "tid": 2,
  21472. "ts": 1539815916938017,
  21473. "dur": 248,
  21474. "args": {
  21475. "name": "tower_2/conv2d_1/Conv2D",
  21476. "op": "Conv2D"
  21477. }
  21478. },
  21479. {
  21480. "ph": "X",
  21481. "cat": "Op",
  21482. "name": "Conv2D",
  21483. "pid": 15,
  21484. "tid": 3,
  21485. "ts": 1539815916937841,
  21486. "dur": 175,
  21487. "args": {
  21488. "name": "conv2d_1/Conv2D",
  21489. "op": "Conv2D"
  21490. }
  21491. },
  21492. {
  21493. "ph": "X",
  21494. "cat": "Op",
  21495. "name": "Conv2D",
  21496. "pid": 15,
  21497. "tid": 0,
  21498. "ts": 1539815916938268,
  21499. "dur": 281,
  21500. "args": {
  21501. "name": "tower_2/conv2d_1/Conv2D",
  21502. "op": "Conv2D"
  21503. }
  21504. },
  21505. {
  21506. "ph": "X",
  21507. "cat": "Op",
  21508. "name": "Conv2D",
  21509. "pid": 15,
  21510. "tid": 3,
  21511. "ts": 1539815916938019,
  21512. "dur": 16,
  21513. "args": {
  21514. "name": "conv2d_1/Conv2D",
  21515. "op": "Conv2D"
  21516. }
  21517. },
  21518. {
  21519. "ph": "X",
  21520. "cat": "Op",
  21521. "name": "Conv2D",
  21522. "pid": 15,
  21523. "tid": 3,
  21524. "ts": 1539815916938040,
  21525. "dur": 247,
  21526. "args": {
  21527. "name": "conv2d_1/Conv2D",
  21528. "op": "Conv2D"
  21529. }
  21530. },
  21531. {
  21532. "ph": "X",
  21533. "cat": "Op",
  21534. "name": "Conv2D",
  21535. "pid": 15,
  21536. "tid": 1,
  21537. "ts": 1539815916938291,
  21538. "dur": 288,
  21539. "args": {
  21540. "name": "conv2d_1/Conv2D",
  21541. "op": "Conv2D"
  21542. }
  21543. },
  21544. {
  21545. "ph": "X",
  21546. "cat": "Op",
  21547. "name": "Conv2D",
  21548. "pid": 15,
  21549. "tid": 4,
  21550. "ts": 1539815916938118,
  21551. "dur": 169,
  21552. "args": {
  21553. "name": "tower_3/conv2d_1/Conv2D",
  21554. "op": "Conv2D"
  21555. }
  21556. },
  21557. {
  21558. "ph": "X",
  21559. "cat": "Op",
  21560. "name": "Conv2D",
  21561. "pid": 15,
  21562. "tid": 2,
  21563. "ts": 1539815916938292,
  21564. "dur": 16,
  21565. "args": {
  21566. "name": "tower_3/conv2d_1/Conv2D",
  21567. "op": "Conv2D"
  21568. }
  21569. },
  21570. {
  21571. "ph": "X",
  21572. "cat": "Op",
  21573. "name": "Conv2D",
  21574. "pid": 15,
  21575. "tid": 2,
  21576. "ts": 1539815916938312,
  21577. "dur": 247,
  21578. "args": {
  21579. "name": "tower_3/conv2d_1/Conv2D",
  21580. "op": "Conv2D"
  21581. }
  21582. },
  21583. {
  21584. "ph": "X",
  21585. "cat": "Op",
  21586. "name": "Conv2D",
  21587. "pid": 15,
  21588. "tid": 0,
  21589. "ts": 1539815916938564,
  21590. "dur": 277,
  21591. "args": {
  21592. "name": "tower_3/conv2d_1/Conv2D",
  21593. "op": "Conv2D"
  21594. }
  21595. },
  21596. {
  21597. "ph": "X",
  21598. "cat": "Op",
  21599. "name": "Conv2D",
  21600. "pid": 15,
  21601. "tid": 5,
  21602. "ts": 1539815916938175,
  21603. "dur": 172,
  21604. "args": {
  21605. "name": "tower_1/conv2d_1/Conv2D",
  21606. "op": "Conv2D"
  21607. }
  21608. },
  21609. {
  21610. "ph": "X",
  21611. "cat": "Op",
  21612. "name": "Conv2D",
  21613. "pid": 15,
  21614. "tid": 3,
  21615. "ts": 1539815916938351,
  21616. "dur": 16,
  21617. "args": {
  21618. "name": "tower_1/conv2d_1/Conv2D",
  21619. "op": "Conv2D"
  21620. }
  21621. },
  21622. {
  21623. "ph": "X",
  21624. "cat": "Op",
  21625. "name": "Conv2D",
  21626. "pid": 15,
  21627. "tid": 3,
  21628. "ts": 1539815916938370,
  21629. "dur": 250,
  21630. "args": {
  21631. "name": "tower_1/conv2d_1/Conv2D",
  21632. "op": "Conv2D"
  21633. }
  21634. },
  21635. {
  21636. "ph": "X",
  21637. "cat": "Op",
  21638. "name": "Conv2D",
  21639. "pid": 15,
  21640. "tid": 1,
  21641. "ts": 1539815916938625,
  21642. "dur": 287,
  21643. "args": {
  21644. "name": "tower_1/conv2d_1/Conv2D",
  21645. "op": "Conv2D"
  21646. }
  21647. },
  21648. {
  21649. "ph": "X",
  21650. "cat": "Op",
  21651. "name": "Conv2D",
  21652. "pid": 15,
  21653. "tid": 2,
  21654. "ts": 1539815916938591,
  21655. "dur": 173,
  21656. "args": {
  21657. "name": "tower_2/conv2d_1/Conv2D",
  21658. "op": "Conv2D"
  21659. }
  21660. },
  21661. {
  21662. "ph": "X",
  21663. "cat": "Op",
  21664. "name": "Conv2D",
  21665. "pid": 15,
  21666. "tid": 2,
  21667. "ts": 1539815916938767,
  21668. "dur": 16,
  21669. "args": {
  21670. "name": "tower_2/conv2d_1/Conv2D",
  21671. "op": "Conv2D"
  21672. }
  21673. },
  21674. {
  21675. "ph": "X",
  21676. "cat": "Op",
  21677. "name": "Conv2D",
  21678. "pid": 15,
  21679. "tid": 2,
  21680. "ts": 1539815916938788,
  21681. "dur": 247,
  21682. "args": {
  21683. "name": "tower_2/conv2d_1/Conv2D",
  21684. "op": "Conv2D"
  21685. }
  21686. },
  21687. {
  21688. "ph": "X",
  21689. "cat": "Op",
  21690. "name": "Conv2D",
  21691. "pid": 15,
  21692. "tid": 0,
  21693. "ts": 1539815916939039,
  21694. "dur": 286,
  21695. "args": {
  21696. "name": "tower_2/conv2d_1/Conv2D",
  21697. "op": "Conv2D"
  21698. }
  21699. },
  21700. {
  21701. "ph": "X",
  21702. "cat": "Op",
  21703. "name": "Conv2D",
  21704. "pid": 15,
  21705. "tid": 3,
  21706. "ts": 1539815916938621,
  21707. "dur": 174,
  21708. "args": {
  21709. "name": "conv2d_1/Conv2D",
  21710. "op": "Conv2D"
  21711. }
  21712. },
  21713. {
  21714. "ph": "X",
  21715. "cat": "Op",
  21716. "name": "Conv2D",
  21717. "pid": 15,
  21718. "tid": 3,
  21719. "ts": 1539815916938799,
  21720. "dur": 16,
  21721. "args": {
  21722. "name": "conv2d_1/Conv2D",
  21723. "op": "Conv2D"
  21724. }
  21725. },
  21726. {
  21727. "ph": "X",
  21728. "cat": "Op",
  21729. "name": "Conv2D",
  21730. "pid": 15,
  21731. "tid": 3,
  21732. "ts": 1539815916938820,
  21733. "dur": 247,
  21734. "args": {
  21735. "name": "conv2d_1/Conv2D",
  21736. "op": "Conv2D"
  21737. }
  21738. },
  21739. {
  21740. "ph": "X",
  21741. "cat": "Op",
  21742. "name": "Conv2D",
  21743. "pid": 15,
  21744. "tid": 1,
  21745. "ts": 1539815916939071,
  21746. "dur": 283,
  21747. "args": {
  21748. "name": "conv2d_1/Conv2D",
  21749. "op": "Conv2D"
  21750. }
  21751. },
  21752. {
  21753. "ph": "X",
  21754. "cat": "Op",
  21755. "name": "Mul",
  21756. "pid": 15,
  21757. "tid": 0,
  21758. "ts": 1539815916939328,
  21759. "dur": 4,
  21760. "args": {
  21761. "name": "tower_2/batch_normalization_1/AssignMovingAvg/mul",
  21762. "op": "Mul"
  21763. }
  21764. },
  21765. {
  21766. "ph": "X",
  21767. "cat": "Op",
  21768. "name": "Mul",
  21769. "pid": 15,
  21770. "tid": 0,
  21771. "ts": 1539815916939335,
  21772. "dur": 3,
  21773. "args": {
  21774. "name": "tower_2/batch_normalization_1/AssignMovingAvg_1/mul",
  21775. "op": "Mul"
  21776. }
  21777. },
  21778. {
  21779. "ph": "X",
  21780. "cat": "Op",
  21781. "name": "Mul",
  21782. "pid": 15,
  21783. "tid": 0,
  21784. "ts": 1539815916939358,
  21785. "dur": 4,
  21786. "args": {
  21787. "name": "batch_normalization_1/AssignMovingAvg/mul",
  21788. "op": "Mul"
  21789. }
  21790. },
  21791. {
  21792. "ph": "X",
  21793. "cat": "Op",
  21794. "name": "Mul",
  21795. "pid": 15,
  21796. "tid": 0,
  21797. "ts": 1539815916939365,
  21798. "dur": 4,
  21799. "args": {
  21800. "name": "batch_normalization_1/AssignMovingAvg_1/mul",
  21801. "op": "Mul"
  21802. }
  21803. },
  21804. {
  21805. "ph": "X",
  21806. "cat": "Op",
  21807. "name": "BiasAdd",
  21808. "pid": 15,
  21809. "tid": 2,
  21810. "ts": 1539815916939343,
  21811. "dur": 83,
  21812. "args": {
  21813. "name": "tower_2/conv2d_1/BiasAdd",
  21814. "op": "BiasAdd"
  21815. }
  21816. },
  21817. {
  21818. "ph": "X",
  21819. "cat": "Op",
  21820. "name": "BiasAdd",
  21821. "pid": 15,
  21822. "tid": 0,
  21823. "ts": 1539815916939373,
  21824. "dur": 83,
  21825. "args": {
  21826. "name": "conv2d_1/BiasAdd",
  21827. "op": "BiasAdd"
  21828. }
  21829. },
  21830. {
  21831. "ph": "X",
  21832. "cat": "Op",
  21833. "name": "AssignSubVariableOp",
  21834. "pid": 15,
  21835. "tid": 1,
  21836. "ts": 1539815916939437,
  21837. "dur": 3,
  21838. "args": {
  21839. "name": "tower_2/batch_normalization_1/AssignMovingAvg/AssignSubVariableOp",
  21840. "op": "AssignSubVariableOp"
  21841. }
  21842. },
  21843. {
  21844. "ph": "X",
  21845. "cat": "Op",
  21846. "name": "AssignSubVariableOp",
  21847. "pid": 15,
  21848. "tid": 0,
  21849. "ts": 1539815916939466,
  21850. "dur": 4,
  21851. "args": {
  21852. "name": "batch_normalization_1/AssignMovingAvg/AssignSubVariableOp",
  21853. "op": "AssignSubVariableOp"
  21854. }
  21855. },
  21856. {
  21857. "ph": "X",
  21858. "cat": "Op",
  21859. "name": "AssignSubVariableOp",
  21860. "pid": 15,
  21861. "tid": 1,
  21862. "ts": 1539815916939449,
  21863. "dur": 3,
  21864. "args": {
  21865. "name": "tower_2/batch_normalization_1/AssignMovingAvg_1/AssignSubVariableOp",
  21866. "op": "AssignSubVariableOp"
  21867. }
  21868. },
  21869. {
  21870. "ph": "X",
  21871. "cat": "Op",
  21872. "name": "Elu",
  21873. "pid": 15,
  21874. "tid": 1,
  21875. "ts": 1539815916939455,
  21876. "dur": 71,
  21877. "args": {
  21878. "name": "tower_2/conv2d_1/Elu",
  21879. "op": "Elu"
  21880. }
  21881. },
  21882. {
  21883. "ph": "X",
  21884. "cat": "Op",
  21885. "name": "Conv2D",
  21886. "pid": 15,
  21887. "tid": 4,
  21888. "ts": 1539815916938886,
  21889. "dur": 176,
  21890. "args": {
  21891. "name": "tower_3/conv2d_1/Conv2D",
  21892. "op": "Conv2D"
  21893. }
  21894. },
  21895. {
  21896. "ph": "X",
  21897. "cat": "Op",
  21898. "name": "AssignSubVariableOp",
  21899. "pid": 15,
  21900. "tid": 0,
  21901. "ts": 1539815916939479,
  21902. "dur": 3,
  21903. "args": {
  21904. "name": "batch_normalization_1/AssignMovingAvg_1/AssignSubVariableOp",
  21905. "op": "AssignSubVariableOp"
  21906. }
  21907. },
  21908. {
  21909. "ph": "X",
  21910. "cat": "Op",
  21911. "name": "Conv2D",
  21912. "pid": 15,
  21913. "tid": 4,
  21914. "ts": 1539815916939065,
  21915. "dur": 16,
  21916. "args": {
  21917. "name": "tower_3/conv2d_1/Conv2D",
  21918. "op": "Conv2D"
  21919. }
  21920. },
  21921. {
  21922. "ph": "X",
  21923. "cat": "Op",
  21924. "name": "Conv2D",
  21925. "pid": 15,
  21926. "tid": 3,
  21927. "ts": 1539815916939085,
  21928. "dur": 248,
  21929. "args": {
  21930. "name": "tower_3/conv2d_1/Conv2D",
  21931. "op": "Conv2D"
  21932. }
  21933. },
  21934. {
  21935. "ph": "X",
  21936. "cat": "Op",
  21937. "name": "Elu",
  21938. "pid": 15,
  21939. "tid": 0,
  21940. "ts": 1539815916939486,
  21941. "dur": 70,
  21942. "args": {
  21943. "name": "conv2d_1/Elu",
  21944. "op": "Elu"
  21945. }
  21946. },
  21947. {
  21948. "ph": "X",
  21949. "cat": "Op",
  21950. "name": "Conv2D",
  21951. "pid": 15,
  21952. "tid": 3,
  21953. "ts": 1539815916939337,
  21954. "dur": 284,
  21955. "args": {
  21956. "name": "tower_3/conv2d_1/Conv2D",
  21957. "op": "Conv2D"
  21958. }
  21959. },
  21960. {
  21961. "ph": "X",
  21962. "cat": "Op",
  21963. "name": "MaxPool",
  21964. "pid": 15,
  21965. "tid": 1,
  21966. "ts": 1539815916939530,
  21967. "dur": 57,
  21968. "args": {
  21969. "name": "tower_2/max_pooling2d_1/MaxPool",
  21970. "op": "MaxPool"
  21971. }
  21972. },
  21973. {
  21974. "ph": "X",
  21975. "cat": "Op",
  21976. "name": "MaxPool",
  21977. "pid": 15,
  21978. "tid": 0,
  21979. "ts": 1539815916939559,
  21980. "dur": 58,
  21981. "args": {
  21982. "name": "max_pooling2d_1/MaxPool",
  21983. "op": "MaxPool"
  21984. }
  21985. },
  21986. {
  21987. "ph": "X",
  21988. "cat": "Op",
  21989. "name": "Conv2D",
  21990. "pid": 15,
  21991. "tid": 5,
  21992. "ts": 1539815916938959,
  21993. "dur": 173,
  21994. "args": {
  21995. "name": "tower_1/conv2d_1/Conv2D",
  21996. "op": "Conv2D"
  21997. }
  21998. },
  21999. {
  22000. "ph": "X",
  22001. "cat": "Op",
  22002. "name": "Conv2D",
  22003. "pid": 15,
  22004. "tid": 4,
  22005. "ts": 1539815916939136,
  22006. "dur": 16,
  22007. "args": {
  22008. "name": "tower_1/conv2d_1/Conv2D",
  22009. "op": "Conv2D"
  22010. }
  22011. },
  22012. {
  22013. "ph": "X",
  22014. "cat": "Op",
  22015. "name": "Mul",
  22016. "pid": 15,
  22017. "tid": 1,
  22018. "ts": 1539815916939590,
  22019. "dur": 16,
  22020. "args": {
  22021. "name": "tower_2/dropout_1/dropout/div",
  22022. "op": "Mul"
  22023. }
  22024. },
  22025. {
  22026. "ph": "X",
  22027. "cat": "Op",
  22028. "name": "Mul",
  22029. "pid": 15,
  22030. "tid": 0,
  22031. "ts": 1539815916939625,
  22032. "dur": 4,
  22033. "args": {
  22034. "name": "tower_3/batch_normalization_1/AssignMovingAvg/mul",
  22035. "op": "Mul"
  22036. }
  22037. },
  22038. {
  22039. "ph": "X",
  22040. "cat": "Op",
  22041. "name": "Conv2D",
  22042. "pid": 15,
  22043. "tid": 4,
  22044. "ts": 1539815916939156,
  22045. "dur": 250,
  22046. "args": {
  22047. "name": "tower_1/conv2d_1/Conv2D",
  22048. "op": "Conv2D"
  22049. }
  22050. },
  22051. {
  22052. "ph": "X",
  22053. "cat": "Op",
  22054. "name": "Mul",
  22055. "pid": 15,
  22056. "tid": 1,
  22057. "ts": 1539815916939621,
  22058. "dur": 16,
  22059. "args": {
  22060. "name": "dropout_1/dropout/div",
  22061. "op": "Mul"
  22062. }
  22063. },
  22064. {
  22065. "ph": "X",
  22066. "cat": "Op",
  22067. "name": "Conv2D",
  22068. "pid": 15,
  22069. "tid": 4,
  22070. "ts": 1539815916939411,
  22071. "dur": 279,
  22072. "args": {
  22073. "name": "tower_1/conv2d_1/Conv2D",
  22074. "op": "Conv2D"
  22075. }
  22076. },
  22077. {
  22078. "ph": "X",
  22079. "cat": "Op",
  22080. "name": "Mul",
  22081. "pid": 15,
  22082. "tid": 0,
  22083. "ts": 1539815916939633,
  22084. "dur": 4,
  22085. "args": {
  22086. "name": "tower_3/batch_normalization_1/AssignMovingAvg_1/mul",
  22087. "op": "Mul"
  22088. }
  22089. },
  22090. {
  22091. "ph": "X",
  22092. "cat": "Op",
  22093. "name": "RandomUniform",
  22094. "pid": 15,
  22095. "tid": 2,
  22096. "ts": 1539815916939611,
  22097. "dur": 15,
  22098. "args": {
  22099. "name": "tower_2/dropout_1/dropout/random_uniform/RandomUniform",
  22100. "op": "RandomUniform"
  22101. }
  22102. },
  22103. {
  22104. "ph": "X",
  22105. "cat": "Op",
  22106. "name": "BiasAdd",
  22107. "pid": 15,
  22108. "tid": 0,
  22109. "ts": 1539815916939640,
  22110. "dur": 86,
  22111. "args": {
  22112. "name": "tower_3/conv2d_1/BiasAdd",
  22113. "op": "BiasAdd"
  22114. }
  22115. },
  22116. {
  22117. "ph": "X",
  22118. "cat": "Op",
  22119. "name": "RandomUniform",
  22120. "pid": 15,
  22121. "tid": 1,
  22122. "ts": 1539815916939641,
  22123. "dur": 15,
  22124. "args": {
  22125. "name": "dropout_1/dropout/random_uniform/RandomUniform",
  22126. "op": "RandomUniform"
  22127. }
  22128. },
  22129. {
  22130. "ph": "X",
  22131. "cat": "Op",
  22132. "name": "Mul",
  22133. "pid": 15,
  22134. "tid": 1,
  22135. "ts": 1539815916939694,
  22136. "dur": 3,
  22137. "args": {
  22138. "name": "tower_1/batch_normalization_1/AssignMovingAvg/mul",
  22139. "op": "Mul"
  22140. }
  22141. },
  22142. {
  22143. "ph": "X",
  22144. "cat": "Op",
  22145. "name": "Add",
  22146. "pid": 15,
  22147. "tid": 2,
  22148. "ts": 1539815916939629,
  22149. "dur": 17,
  22150. "args": {
  22151. "name": "tower_2/dropout_1/dropout/add",
  22152. "op": "Add"
  22153. }
  22154. },
  22155. {
  22156. "ph": "X",
  22157. "cat": "Op",
  22158. "name": "Add",
  22159. "pid": 15,
  22160. "tid": 2,
  22161. "ts": 1539815916939660,
  22162. "dur": 17,
  22163. "args": {
  22164. "name": "dropout_1/dropout/add",
  22165. "op": "Add"
  22166. }
  22167. },
  22168. {
  22169. "ph": "X",
  22170. "cat": "Op",
  22171. "name": "Floor",
  22172. "pid": 15,
  22173. "tid": 3,
  22174. "ts": 1539815916939650,
  22175. "dur": 15,
  22176. "args": {
  22177. "name": "tower_2/dropout_1/dropout/Floor",
  22178. "op": "Floor"
  22179. }
  22180. },
  22181. {
  22182. "ph": "X",
  22183. "cat": "Op",
  22184. "name": "AssignSubVariableOp",
  22185. "pid": 15,
  22186. "tid": 0,
  22187. "ts": 1539815916939736,
  22188. "dur": 3,
  22189. "args": {
  22190. "name": "tower_3/batch_normalization_1/AssignMovingAvg/AssignSubVariableOp",
  22191. "op": "AssignSubVariableOp"
  22192. }
  22193. },
  22194. {
  22195. "ph": "X",
  22196. "cat": "Op",
  22197. "name": "Mul",
  22198. "pid": 15,
  22199. "tid": 1,
  22200. "ts": 1539815916939702,
  22201. "dur": 3,
  22202. "args": {
  22203. "name": "tower_1/batch_normalization_1/AssignMovingAvg_1/mul",
  22204. "op": "Mul"
  22205. }
  22206. },
  22207. {
  22208. "ph": "X",
  22209. "cat": "Op",
  22210. "name": "Floor",
  22211. "pid": 15,
  22212. "tid": 2,
  22213. "ts": 1539815916939680,
  22214. "dur": 15,
  22215. "args": {
  22216. "name": "dropout_1/dropout/Floor",
  22217. "op": "Floor"
  22218. }
  22219. },
  22220. {
  22221. "ph": "X",
  22222. "cat": "Op",
  22223. "name": "Transpose",
  22224. "pid": 15,
  22225. "tid": 3,
  22226. "ts": 1539815916939668,
  22227. "dur": 23,
  22228. "args": {
  22229. "name": "tower_2/dropout_1/dropout/mul-1-TransposeNHWCToNCHW-LayoutOptimizer",
  22230. "op": "Transpose"
  22231. }
  22232. },
  22233. {
  22234. "ph": "X",
  22235. "cat": "Op",
  22236. "name": "Transpose",
  22237. "pid": 15,
  22238. "tid": 2,
  22239. "ts": 1539815916939700,
  22240. "dur": 23,
  22241. "args": {
  22242. "name": "dropout_1/dropout/mul-1-TransposeNHWCToNCHW-LayoutOptimizer",
  22243. "op": "Transpose"
  22244. }
  22245. },
  22246. {
  22247. "ph": "X",
  22248. "cat": "Op",
  22249. "name": "BiasAdd",
  22250. "pid": 15,
  22251. "tid": 1,
  22252. "ts": 1539815916939708,
  22253. "dur": 86,
  22254. "args": {
  22255. "name": "tower_1/conv2d_1/BiasAdd",
  22256. "op": "BiasAdd"
  22257. }
  22258. },
  22259. {
  22260. "ph": "X",
  22261. "cat": "Op",
  22262. "name": "AssignSubVariableOp",
  22263. "pid": 15,
  22264. "tid": 0,
  22265. "ts": 1539815916939747,
  22266. "dur": 4,
  22267. "args": {
  22268. "name": "tower_3/batch_normalization_1/AssignMovingAvg_1/AssignSubVariableOp",
  22269. "op": "AssignSubVariableOp"
  22270. }
  22271. },
  22272. {
  22273. "ph": "X",
  22274. "cat": "Op",
  22275. "name": "Mul",
  22276. "pid": 15,
  22277. "tid": 2,
  22278. "ts": 1539815916939727,
  22279. "dur": 26,
  22280. "args": {
  22281. "name": "dropout_1/dropout/mul",
  22282. "op": "Mul"
  22283. }
  22284. },
  22285. {
  22286. "ph": "X",
  22287. "cat": "Op",
  22288. "name": "Mul",
  22289. "pid": 15,
  22290. "tid": 3,
  22291. "ts": 1539815916939696,
  22292. "dur": 26,
  22293. "args": {
  22294. "name": "tower_2/dropout_1/dropout/mul",
  22295. "op": "Mul"
  22296. }
  22297. },
  22298. {
  22299. "ph": "X",
  22300. "cat": "Op",
  22301. "name": "Elu",
  22302. "pid": 15,
  22303. "tid": 0,
  22304. "ts": 1539815916939754,
  22305. "dur": 70,
  22306. "args": {
  22307. "name": "tower_3/conv2d_1/Elu",
  22308. "op": "Elu"
  22309. }
  22310. },
  22311. {
  22312. "ph": "X",
  22313. "cat": "Op",
  22314. "name": "AssignSubVariableOp",
  22315. "pid": 15,
  22316. "tid": 1,
  22317. "ts": 1539815916939802,
  22318. "dur": 4,
  22319. "args": {
  22320. "name": "tower_1/batch_normalization_1/AssignMovingAvg/AssignSubVariableOp",
  22321. "op": "AssignSubVariableOp"
  22322. }
  22323. },
  22324. {
  22325. "ph": "X",
  22326. "cat": "Op",
  22327. "name": "FusedBatchNorm",
  22328. "pid": 15,
  22329. "tid": 2,
  22330. "ts": 1539815916939766,
  22331. "dur": 50,
  22332. "args": {
  22333. "name": "batch_normalization_2/FusedBatchNorm",
  22334. "op": "FusedBatchNorm"
  22335. }
  22336. },
  22337. {
  22338. "ph": "X",
  22339. "cat": "Op",
  22340. "name": "MaxPool",
  22341. "pid": 15,
  22342. "tid": 0,
  22343. "ts": 1539815916939829,
  22344. "dur": 57,
  22345. "args": {
  22346. "name": "tower_3/max_pooling2d_1/MaxPool",
  22347. "op": "MaxPool"
  22348. }
  22349. },
  22350. {
  22351. "ph": "X",
  22352. "cat": "Op",
  22353. "name": "FusedBatchNorm",
  22354. "pid": 15,
  22355. "tid": 3,
  22356. "ts": 1539815916939734,
  22357. "dur": 50,
  22358. "args": {
  22359. "name": "tower_2/batch_normalization_2/FusedBatchNorm",
  22360. "op": "FusedBatchNorm"
  22361. }
  22362. },
  22363. {
  22364. "ph": "X",
  22365. "cat": "Op",
  22366. "name": "Sub",
  22367. "pid": 15,
  22368. "tid": 1,
  22369. "ts": 1539815916939819,
  22370. "dur": 4,
  22371. "args": {
  22372. "name": "batch_normalization_2/AssignMovingAvg/sub_1",
  22373. "op": "Sub"
  22374. }
  22375. },
  22376. {
  22377. "ph": "X",
  22378. "cat": "Op",
  22379. "name": "Mul",
  22380. "pid": 15,
  22381. "tid": 0,
  22382. "ts": 1539815916939890,
  22383. "dur": 16,
  22384. "args": {
  22385. "name": "tower_3/dropout_1/dropout/div",
  22386. "op": "Mul"
  22387. }
  22388. },
  22389. {
  22390. "ph": "X",
  22391. "cat": "Op",
  22392. "name": "AssignSubVariableOp",
  22393. "pid": 15,
  22394. "tid": 2,
  22395. "ts": 1539815916939819,
  22396. "dur": 4,
  22397. "args": {
  22398. "name": "tower_1/batch_normalization_1/AssignMovingAvg_1/AssignSubVariableOp",
  22399. "op": "AssignSubVariableOp"
  22400. }
  22401. },
  22402. {
  22403. "ph": "X",
  22404. "cat": "Op",
  22405. "name": "Sub",
  22406. "pid": 15,
  22407. "tid": 3,
  22408. "ts": 1539815916939787,
  22409. "dur": 4,
  22410. "args": {
  22411. "name": "tower_2/batch_normalization_2/AssignMovingAvg/sub_1",
  22412. "op": "Sub"
  22413. }
  22414. },
  22415. {
  22416. "ph": "X",
  22417. "cat": "Op",
  22418. "name": "Sub",
  22419. "pid": 15,
  22420. "tid": 1,
  22421. "ts": 1539815916939827,
  22422. "dur": 3,
  22423. "args": {
  22424. "name": "batch_normalization_2/AssignMovingAvg_1/sub_1",
  22425. "op": "Sub"
  22426. }
  22427. },
  22428. {
  22429. "ph": "X",
  22430. "cat": "Op",
  22431. "name": "Elu",
  22432. "pid": 15,
  22433. "tid": 2,
  22434. "ts": 1539815916939828,
  22435. "dur": 69,
  22436. "args": {
  22437. "name": "tower_1/conv2d_1/Elu",
  22438. "op": "Elu"
  22439. }
  22440. },
  22441. {
  22442. "ph": "X",
  22443. "cat": "Op",
  22444. "name": "Sub",
  22445. "pid": 15,
  22446. "tid": 3,
  22447. "ts": 1539815916939794,
  22448. "dur": 4,
  22449. "args": {
  22450. "name": "tower_2/batch_normalization_2/AssignMovingAvg_1/sub_1",
  22451. "op": "Sub"
  22452. }
  22453. },
  22454. {
  22455. "ph": "X",
  22456. "cat": "Op",
  22457. "name": "Conv2D",
  22458. "pid": 15,
  22459. "tid": 1,
  22460. "ts": 1539815916939834,
  22461. "dur": 24,
  22462. "args": {
  22463. "name": "conv2d_2/Conv2D",
  22464. "op": "Conv2D"
  22465. }
  22466. },
  22467. {
  22468. "ph": "X",
  22469. "cat": "Op",
  22470. "name": "RandomUniform",
  22471. "pid": 15,
  22472. "tid": 0,
  22473. "ts": 1539815916939909,
  22474. "dur": 15,
  22475. "args": {
  22476. "name": "tower_3/dropout_1/dropout/random_uniform/RandomUniform",
  22477. "op": "RandomUniform"
  22478. }
  22479. },
  22480. {
  22481. "ph": "X",
  22482. "cat": "Op",
  22483. "name": "MaxPool",
  22484. "pid": 15,
  22485. "tid": 1,
  22486. "ts": 1539815916939900,
  22487. "dur": 57,
  22488. "args": {
  22489. "name": "tower_1/max_pooling2d_1/MaxPool",
  22490. "op": "MaxPool"
  22491. }
  22492. },
  22493. {
  22494. "ph": "X",
  22495. "cat": "Op",
  22496. "name": "Conv2D",
  22497. "pid": 15,
  22498. "tid": 3,
  22499. "ts": 1539815916939802,
  22500. "dur": 23,
  22501. "args": {
  22502. "name": "tower_2/conv2d_2/Conv2D",
  22503. "op": "Conv2D"
  22504. }
  22505. },
  22506. {
  22507. "ph": "X",
  22508. "cat": "Op",
  22509. "name": "Add",
  22510. "pid": 15,
  22511. "tid": 0,
  22512. "ts": 1539815916939929,
  22513. "dur": 16,
  22514. "args": {
  22515. "name": "tower_3/dropout_1/dropout/add",
  22516. "op": "Add"
  22517. }
  22518. },
  22519. {
  22520. "ph": "X",
  22521. "cat": "Op",
  22522. "name": "Conv2D",
  22523. "pid": 15,
  22524. "tid": 3,
  22525. "ts": 1539815916939864,
  22526. "dur": 1961,
  22527. "args": {
  22528. "name": "conv2d_2/Conv2D",
  22529. "op": "Conv2D"
  22530. }
  22531. },
  22532. {
  22533. "ph": "X",
  22534. "cat": "Op",
  22535. "name": "Floor",
  22536. "pid": 15,
  22537. "tid": 0,
  22538. "ts": 1539815916939949,
  22539. "dur": 15,
  22540. "args": {
  22541. "name": "tower_3/dropout_1/dropout/Floor",
  22542. "op": "Floor"
  22543. }
  22544. },
  22545. {
  22546. "ph": "X",
  22547. "cat": "Op",
  22548. "name": "Mul",
  22549. "pid": 15,
  22550. "tid": 1,
  22551. "ts": 1539815916939961,
  22552. "dur": 16,
  22553. "args": {
  22554. "name": "tower_1/dropout_1/dropout/div",
  22555. "op": "Mul"
  22556. }
  22557. },
  22558. {
  22559. "ph": "X",
  22560. "cat": "Op",
  22561. "name": "Conv2D",
  22562. "pid": 15,
  22563. "tid": 4,
  22564. "ts": 1539815916939833,
  22565. "dur": 1958,
  22566. "args": {
  22567. "name": "tower_2/conv2d_2/Conv2D",
  22568. "op": "Conv2D"
  22569. }
  22570. },
  22571. {
  22572. "ph": "X",
  22573. "cat": "Op",
  22574. "name": "Transpose",
  22575. "pid": 15,
  22576. "tid": 0,
  22577. "ts": 1539815916939967,
  22578. "dur": 23,
  22579. "args": {
  22580. "name": "tower_3/dropout_1/dropout/mul-1-TransposeNHWCToNCHW-LayoutOptimizer",
  22581. "op": "Transpose"
  22582. }
  22583. },
  22584. {
  22585. "ph": "X",
  22586. "cat": "Op",
  22587. "name": "Mul",
  22588. "pid": 15,
  22589. "tid": 0,
  22590. "ts": 1539815916939994,
  22591. "dur": 26,
  22592. "args": {
  22593. "name": "tower_3/dropout_1/dropout/mul",
  22594. "op": "Mul"
  22595. }
  22596. },
  22597. {
  22598. "ph": "X",
  22599. "cat": "Op",
  22600. "name": "RandomUniform",
  22601. "pid": 15,
  22602. "tid": 1,
  22603. "ts": 1539815916939980,
  22604. "dur": 15,
  22605. "args": {
  22606. "name": "tower_1/dropout_1/dropout/random_uniform/RandomUniform",
  22607. "op": "RandomUniform"
  22608. }
  22609. },
  22610. {
  22611. "ph": "X",
  22612. "cat": "Op",
  22613. "name": "Add",
  22614. "pid": 15,
  22615. "tid": 1,
  22616. "ts": 1539815916940000,
  22617. "dur": 16,
  22618. "args": {
  22619. "name": "tower_1/dropout_1/dropout/add",
  22620. "op": "Add"
  22621. }
  22622. },
  22623. {
  22624. "ph": "X",
  22625. "cat": "Op",
  22626. "name": "FusedBatchNorm",
  22627. "pid": 15,
  22628. "tid": 0,
  22629. "ts": 1539815916940033,
  22630. "dur": 49,
  22631. "args": {
  22632. "name": "tower_3/batch_normalization_2/FusedBatchNorm",
  22633. "op": "FusedBatchNorm"
  22634. }
  22635. },
  22636. {
  22637. "ph": "X",
  22638. "cat": "Op",
  22639. "name": "Floor",
  22640. "pid": 15,
  22641. "tid": 1,
  22642. "ts": 1539815916940020,
  22643. "dur": 14,
  22644. "args": {
  22645. "name": "tower_1/dropout_1/dropout/Floor",
  22646. "op": "Floor"
  22647. }
  22648. },
  22649. {
  22650. "ph": "X",
  22651. "cat": "Op",
  22652. "name": "Sub",
  22653. "pid": 15,
  22654. "tid": 0,
  22655. "ts": 1539815916940086,
  22656. "dur": 4,
  22657. "args": {
  22658. "name": "tower_3/batch_normalization_2/AssignMovingAvg/sub_1",
  22659. "op": "Sub"
  22660. }
  22661. },
  22662. {
  22663. "ph": "X",
  22664. "cat": "Op",
  22665. "name": "Transpose",
  22666. "pid": 15,
  22667. "tid": 1,
  22668. "ts": 1539815916940038,
  22669. "dur": 24,
  22670. "args": {
  22671. "name": "tower_1/dropout_1/dropout/mul-1-TransposeNHWCToNCHW-LayoutOptimizer",
  22672. "op": "Transpose"
  22673. }
  22674. },
  22675. {
  22676. "ph": "X",
  22677. "cat": "Op",
  22678. "name": "Sub",
  22679. "pid": 15,
  22680. "tid": 0,
  22681. "ts": 1539815916940093,
  22682. "dur": 3,
  22683. "args": {
  22684. "name": "tower_3/batch_normalization_2/AssignMovingAvg_1/sub_1",
  22685. "op": "Sub"
  22686. }
  22687. },
  22688. {
  22689. "ph": "X",
  22690. "cat": "Op",
  22691. "name": "Mul",
  22692. "pid": 15,
  22693. "tid": 1,
  22694. "ts": 1539815916940065,
  22695. "dur": 26,
  22696. "args": {
  22697. "name": "tower_1/dropout_1/dropout/mul",
  22698. "op": "Mul"
  22699. }
  22700. },
  22701. {
  22702. "ph": "X",
  22703. "cat": "Op",
  22704. "name": "Conv2D",
  22705. "pid": 15,
  22706. "tid": 0,
  22707. "ts": 1539815916940100,
  22708. "dur": 22,
  22709. "args": {
  22710. "name": "tower_3/conv2d_2/Conv2D",
  22711. "op": "Conv2D"
  22712. }
  22713. },
  22714. {
  22715. "ph": "X",
  22716. "cat": "Op",
  22717. "name": "FusedBatchNorm",
  22718. "pid": 15,
  22719. "tid": 1,
  22720. "ts": 1539815916940105,
  22721. "dur": 49,
  22722. "args": {
  22723. "name": "tower_1/batch_normalization_2/FusedBatchNorm",
  22724. "op": "FusedBatchNorm"
  22725. }
  22726. },
  22727. {
  22728. "ph": "X",
  22729. "cat": "Op",
  22730. "name": "Conv2D",
  22731. "pid": 15,
  22732. "tid": 0,
  22733. "ts": 1539815916940129,
  22734. "dur": 1960,
  22735. "args": {
  22736. "name": "tower_3/conv2d_2/Conv2D",
  22737. "op": "Conv2D"
  22738. }
  22739. },
  22740. {
  22741. "ph": "X",
  22742. "cat": "Op",
  22743. "name": "Sub",
  22744. "pid": 15,
  22745. "tid": 1,
  22746. "ts": 1539815916940157,
  22747. "dur": 4,
  22748. "args": {
  22749. "name": "tower_1/batch_normalization_2/AssignMovingAvg/sub_1",
  22750. "op": "Sub"
  22751. }
  22752. },
  22753. {
  22754. "ph": "X",
  22755. "cat": "Op",
  22756. "name": "Sub",
  22757. "pid": 15,
  22758. "tid": 1,
  22759. "ts": 1539815916940164,
  22760. "dur": 4,
  22761. "args": {
  22762. "name": "tower_1/batch_normalization_2/AssignMovingAvg_1/sub_1",
  22763. "op": "Sub"
  22764. }
  22765. },
  22766. {
  22767. "ph": "X",
  22768. "cat": "Op",
  22769. "name": "Conv2D",
  22770. "pid": 15,
  22771. "tid": 1,
  22772. "ts": 1539815916940172,
  22773. "dur": 22,
  22774. "args": {
  22775. "name": "tower_1/conv2d_2/Conv2D",
  22776. "op": "Conv2D"
  22777. }
  22778. },
  22779. {
  22780. "ph": "X",
  22781. "cat": "Op",
  22782. "name": "Conv2D",
  22783. "pid": 15,
  22784. "tid": 1,
  22785. "ts": 1539815916940201,
  22786. "dur": 2272,
  22787. "args": {
  22788. "name": "tower_1/conv2d_2/Conv2D",
  22789. "op": "Conv2D"
  22790. }
  22791. },
  22792. {
  22793. "ph": "X",
  22794. "cat": "Op",
  22795. "name": "Conv2D",
  22796. "pid": 15,
  22797. "tid": 2,
  22798. "ts": 1539815916941839,
  22799. "dur": 1955,
  22800. "args": {
  22801. "name": "tower_2/conv2d_2/Conv2D",
  22802. "op": "Conv2D"
  22803. }
  22804. },
  22805. {
  22806. "ph": "X",
  22807. "cat": "Op",
  22808. "name": "Conv2D",
  22809. "pid": 15,
  22810. "tid": 3,
  22811. "ts": 1539815916941872,
  22812. "dur": 1959,
  22813. "args": {
  22814. "name": "conv2d_2/Conv2D",
  22815. "op": "Conv2D"
  22816. }
  22817. },
  22818. {
  22819. "ph": "X",
  22820. "cat": "Op",
  22821. "name": "Conv2D",
  22822. "pid": 15,
  22823. "tid": 0,
  22824. "ts": 1539815916942136,
  22825. "dur": 2273,
  22826. "args": {
  22827. "name": "tower_3/conv2d_2/Conv2D",
  22828. "op": "Conv2D"
  22829. }
  22830. },
  22831. {
  22832. "ph": "X",
  22833. "cat": "Op",
  22834. "name": "Conv2D",
  22835. "pid": 15,
  22836. "tid": 1,
  22837. "ts": 1539815916942522,
  22838. "dur": 2266,
  22839. "args": {
  22840. "name": "tower_1/conv2d_2/Conv2D",
  22841. "op": "Conv2D"
  22842. }
  22843. },
  22844. {
  22845. "ph": "X",
  22846. "cat": "Op",
  22847. "name": "Conv2D",
  22848. "pid": 15,
  22849. "tid": 2,
  22850. "ts": 1539815916943852,
  22851. "dur": 4,
  22852. "args": {
  22853. "name": "tower_2/conv2d_2/Conv2D",
  22854. "op": "Conv2D"
  22855. }
  22856. },
  22857. {
  22858. "ph": "X",
  22859. "cat": "Op",
  22860. "name": "Conv2D",
  22861. "pid": 15,
  22862. "tid": 2,
  22863. "ts": 1539815916943868,
  22864. "dur": 1908,
  22865. "args": {
  22866. "name": "tower_2/conv2d_2/Conv2D",
  22867. "op": "Conv2D"
  22868. }
  22869. },
  22870. {
  22871. "ph": "X",
  22872. "cat": "Op",
  22873. "name": "Conv2D",
  22874. "pid": 15,
  22875. "tid": 3,
  22876. "ts": 1539815916943890,
  22877. "dur": 4,
  22878. "args": {
  22879. "name": "conv2d_2/Conv2D",
  22880. "op": "Conv2D"
  22881. }
  22882. },
  22883. {
  22884. "ph": "X",
  22885. "cat": "Op",
  22886. "name": "Conv2D",
  22887. "pid": 15,
  22888. "tid": 3,
  22889. "ts": 1539815916943905,
  22890. "dur": 1908,
  22891. "args": {
  22892. "name": "conv2d_2/Conv2D",
  22893. "op": "Conv2D"
  22894. }
  22895. },
  22896. {
  22897. "ph": "X",
  22898. "cat": "Op",
  22899. "name": "Conv2D",
  22900. "pid": 15,
  22901. "tid": 0,
  22902. "ts": 1539815916944467,
  22903. "dur": 4,
  22904. "args": {
  22905. "name": "tower_3/conv2d_2/Conv2D",
  22906. "op": "Conv2D"
  22907. }
  22908. },
  22909. {
  22910. "ph": "X",
  22911. "cat": "Op",
  22912. "name": "Conv2D",
  22913. "pid": 15,
  22914. "tid": 0,
  22915. "ts": 1539815916944481,
  22916. "dur": 1910,
  22917. "args": {
  22918. "name": "tower_3/conv2d_2/Conv2D",
  22919. "op": "Conv2D"
  22920. }
  22921. },
  22922. {
  22923. "ph": "X",
  22924. "cat": "Op",
  22925. "name": "Conv2D",
  22926. "pid": 15,
  22927. "tid": 1,
  22928. "ts": 1539815916944847,
  22929. "dur": 4,
  22930. "args": {
  22931. "name": "tower_1/conv2d_2/Conv2D",
  22932. "op": "Conv2D"
  22933. }
  22934. },
  22935. {
  22936. "ph": "X",
  22937. "cat": "Op",
  22938. "name": "Conv2D",
  22939. "pid": 15,
  22940. "tid": 1,
  22941. "ts": 1539815916944863,
  22942. "dur": 1908,
  22943. "args": {
  22944. "name": "tower_1/conv2d_2/Conv2D",
  22945. "op": "Conv2D"
  22946. }
  22947. },
  22948. {
  22949. "ph": "X",
  22950. "cat": "Op",
  22951. "name": "Conv2D",
  22952. "pid": 15,
  22953. "tid": 2,
  22954. "ts": 1539815916945830,
  22955. "dur": 4,
  22956. "args": {
  22957. "name": "tower_2/conv2d_2/Conv2D",
  22958. "op": "Conv2D"
  22959. }
  22960. },
  22961. {
  22962. "ph": "X",
  22963. "cat": "Op",
  22964. "name": "Conv2D",
  22965. "pid": 15,
  22966. "tid": 2,
  22967. "ts": 1539815916945843,
  22968. "dur": 1912,
  22969. "args": {
  22970. "name": "tower_2/conv2d_2/Conv2D",
  22971. "op": "Conv2D"
  22972. }
  22973. },
  22974. {
  22975. "ph": "X",
  22976. "cat": "Op",
  22977. "name": "Conv2D",
  22978. "pid": 15,
  22979. "tid": 3,
  22980. "ts": 1539815916945866,
  22981. "dur": 4,
  22982. "args": {
  22983. "name": "conv2d_2/Conv2D",
  22984. "op": "Conv2D"
  22985. }
  22986. },
  22987. {
  22988. "ph": "X",
  22989. "cat": "Op",
  22990. "name": "Conv2D",
  22991. "pid": 15,
  22992. "tid": 3,
  22993. "ts": 1539815916945880,
  22994. "dur": 1910,
  22995. "args": {
  22996. "name": "conv2d_2/Conv2D",
  22997. "op": "Conv2D"
  22998. }
  22999. },
  23000. {
  23001. "ph": "X",
  23002. "cat": "Op",
  23003. "name": "Conv2D",
  23004. "pid": 15,
  23005. "tid": 0,
  23006. "ts": 1539815916946444,
  23007. "dur": 5,
  23008. "args": {
  23009. "name": "tower_3/conv2d_2/Conv2D",
  23010. "op": "Conv2D"
  23011. }
  23012. },
  23013. {
  23014. "ph": "X",
  23015. "cat": "Op",
  23016. "name": "Conv2D",
  23017. "pid": 15,
  23018. "tid": 0,
  23019. "ts": 1539815916946459,
  23020. "dur": 1917,
  23021. "args": {
  23022. "name": "tower_3/conv2d_2/Conv2D",
  23023. "op": "Conv2D"
  23024. }
  23025. },
  23026. {
  23027. "ph": "X",
  23028. "cat": "Op",
  23029. "name": "Conv2D",
  23030. "pid": 15,
  23031. "tid": 1,
  23032. "ts": 1539815916946848,
  23033. "dur": 4,
  23034. "args": {
  23035. "name": "tower_1/conv2d_2/Conv2D",
  23036. "op": "Conv2D"
  23037. }
  23038. },
  23039. {
  23040. "ph": "X",
  23041. "cat": "Op",
  23042. "name": "Conv2D",
  23043. "pid": 15,
  23044. "tid": 1,
  23045. "ts": 1539815916946862,
  23046. "dur": 1908,
  23047. "args": {
  23048. "name": "tower_1/conv2d_2/Conv2D",
  23049. "op": "Conv2D"
  23050. }
  23051. },
  23052. {
  23053. "ph": "X",
  23054. "cat": "Op",
  23055. "name": "Conv2D",
  23056. "pid": 15,
  23057. "tid": 2,
  23058. "ts": 1539815916947805,
  23059. "dur": 293,
  23060. "args": {
  23061. "name": "tower_2/conv2d_2/Conv2D",
  23062. "op": "Conv2D"
  23063. }
  23064. },
  23065. {
  23066. "ph": "X",
  23067. "cat": "Op",
  23068. "name": "Conv2D",
  23069. "pid": 15,
  23070. "tid": 2,
  23071. "ts": 1539815916948109,
  23072. "dur": 1812,
  23073. "args": {
  23074. "name": "tower_2/conv2d_2/Conv2D",
  23075. "op": "Conv2D"
  23076. }
  23077. },
  23078. {
  23079. "ph": "X",
  23080. "cat": "Op",
  23081. "name": "Conv2D",
  23082. "pid": 15,
  23083. "tid": 3,
  23084. "ts": 1539815916947839,
  23085. "dur": 294,
  23086. "args": {
  23087. "name": "conv2d_2/Conv2D",
  23088. "op": "Conv2D"
  23089. }
  23090. },
  23091. {
  23092. "ph": "X",
  23093. "cat": "Op",
  23094. "name": "Conv2D",
  23095. "pid": 15,
  23096. "tid": 3,
  23097. "ts": 1539815916948143,
  23098. "dur": 1808,
  23099. "args": {
  23100. "name": "conv2d_2/Conv2D",
  23101. "op": "Conv2D"
  23102. }
  23103. },
  23104. {
  23105. "ph": "X",
  23106. "cat": "Op",
  23107. "name": "Conv2D",
  23108. "pid": 15,
  23109. "tid": 0,
  23110. "ts": 1539815916948427,
  23111. "dur": 291,
  23112. "args": {
  23113. "name": "tower_3/conv2d_2/Conv2D",
  23114. "op": "Conv2D"
  23115. }
  23116. },
  23117. {
  23118. "ph": "X",
  23119. "cat": "Op",
  23120. "name": "Conv2D",
  23121. "pid": 15,
  23122. "tid": 0,
  23123. "ts": 1539815916948728,
  23124. "dur": 1813,
  23125. "args": {
  23126. "name": "tower_3/conv2d_2/Conv2D",
  23127. "op": "Conv2D"
  23128. }
  23129. },
  23130. {
  23131. "ph": "X",
  23132. "cat": "Op",
  23133. "name": "Conv2D",
  23134. "pid": 15,
  23135. "tid": 1,
  23136. "ts": 1539815916948820,
  23137. "dur": 294,
  23138. "args": {
  23139. "name": "tower_1/conv2d_2/Conv2D",
  23140. "op": "Conv2D"
  23141. }
  23142. },
  23143. {
  23144. "ph": "X",
  23145. "cat": "Op",
  23146. "name": "Conv2D",
  23147. "pid": 15,
  23148. "tid": 1,
  23149. "ts": 1539815916949125,
  23150. "dur": 1806,
  23151. "args": {
  23152. "name": "tower_1/conv2d_2/Conv2D",
  23153. "op": "Conv2D"
  23154. }
  23155. },
  23156. {
  23157. "ph": "X",
  23158. "cat": "Op",
  23159. "name": "Conv2D",
  23160. "pid": 15,
  23161. "tid": 2,
  23162. "ts": 1539815916949969,
  23163. "dur": 294,
  23164. "args": {
  23165. "name": "tower_2/conv2d_2/Conv2D",
  23166. "op": "Conv2D"
  23167. }
  23168. },
  23169. {
  23170. "ph": "X",
  23171. "cat": "Op",
  23172. "name": "Conv2D",
  23173. "pid": 15,
  23174. "tid": 2,
  23175. "ts": 1539815916950267,
  23176. "dur": 2079,
  23177. "args": {
  23178. "name": "tower_2/conv2d_2/Conv2D",
  23179. "op": "Conv2D"
  23180. }
  23181. },
  23182. {
  23183. "ph": "X",
  23184. "cat": "Op",
  23185. "name": "Conv2D",
  23186. "pid": 15,
  23187. "tid": 3,
  23188. "ts": 1539815916949999,
  23189. "dur": 296,
  23190. "args": {
  23191. "name": "conv2d_2/Conv2D",
  23192. "op": "Conv2D"
  23193. }
  23194. },
  23195. {
  23196. "ph": "X",
  23197. "cat": "Op",
  23198. "name": "Conv2D",
  23199. "pid": 15,
  23200. "tid": 3,
  23201. "ts": 1539815916950299,
  23202. "dur": 1810,
  23203. "args": {
  23204. "name": "conv2d_2/Conv2D",
  23205. "op": "Conv2D"
  23206. }
  23207. },
  23208. {
  23209. "ph": "X",
  23210. "cat": "Op",
  23211. "name": "Conv2D",
  23212. "pid": 15,
  23213. "tid": 0,
  23214. "ts": 1539815916950594,
  23215. "dur": 290,
  23216. "args": {
  23217. "name": "tower_3/conv2d_2/Conv2D",
  23218. "op": "Conv2D"
  23219. }
  23220. },
  23221. {
  23222. "ph": "X",
  23223. "cat": "Op",
  23224. "name": "Conv2D",
  23225. "pid": 15,
  23226. "tid": 0,
  23227. "ts": 1539815916950888,
  23228. "dur": 2082,
  23229. "args": {
  23230. "name": "tower_3/conv2d_2/Conv2D",
  23231. "op": "Conv2D"
  23232. }
  23233. },
  23234. {
  23235. "ph": "X",
  23236. "cat": "Op",
  23237. "name": "Conv2D",
  23238. "pid": 15,
  23239. "tid": 1,
  23240. "ts": 1539815916950983,
  23241. "dur": 299,
  23242. "args": {
  23243. "name": "tower_1/conv2d_2/Conv2D",
  23244. "op": "Conv2D"
  23245. }
  23246. },
  23247. {
  23248. "ph": "X",
  23249. "cat": "Op",
  23250. "name": "Conv2D",
  23251. "pid": 15,
  23252. "tid": 1,
  23253. "ts": 1539815916951286,
  23254. "dur": 1808,
  23255. "args": {
  23256. "name": "tower_1/conv2d_2/Conv2D",
  23257. "op": "Conv2D"
  23258. }
  23259. },
  23260. {
  23261. "ph": "X",
  23262. "cat": "Op",
  23263. "name": "Conv2D",
  23264. "pid": 15,
  23265. "tid": 3,
  23266. "ts": 1539815916952181,
  23267. "dur": 58,
  23268. "args": {
  23269. "name": "conv2d_2/Conv2D",
  23270. "op": "Conv2D"
  23271. }
  23272. },
  23273. {
  23274. "ph": "X",
  23275. "cat": "Op",
  23276. "name": "Conv2D",
  23277. "pid": 15,
  23278. "tid": 3,
  23279. "ts": 1539815916952317,
  23280. "dur": 64,
  23281. "args": {
  23282. "name": "conv2d_2/Conv2D",
  23283. "op": "Conv2D"
  23284. }
  23285. },
  23286. {
  23287. "ph": "X",
  23288. "cat": "Op",
  23289. "name": "Conv2D",
  23290. "pid": 15,
  23291. "tid": 4,
  23292. "ts": 1539815916952242,
  23293. "dur": 70,
  23294. "args": {
  23295. "name": "conv2d_2/Conv2D",
  23296. "op": "Conv2D"
  23297. }
  23298. },
  23299. {
  23300. "ph": "X",
  23301. "cat": "Op",
  23302. "name": "Conv2D",
  23303. "pid": 15,
  23304. "tid": 2,
  23305. "ts": 1539815916952386,
  23306. "dur": 4,
  23307. "args": {
  23308. "name": "conv2d_2/Conv2D",
  23309. "op": "Conv2D"
  23310. }
  23311. },
  23312. {
  23313. "ph": "X",
  23314. "cat": "Op",
  23315. "name": "Conv2D",
  23316. "pid": 15,
  23317. "tid": 2,
  23318. "ts": 1539815916952393,
  23319. "dur": 790,
  23320. "args": {
  23321. "name": "conv2d_2/Conv2D",
  23322. "op": "Conv2D"
  23323. }
  23324. },
  23325. {
  23326. "ph": "X",
  23327. "cat": "Op",
  23328. "name": "Conv2D",
  23329. "pid": 15,
  23330. "tid": 0,
  23331. "ts": 1539815916953188,
  23332. "dur": 143,
  23333. "args": {
  23334. "name": "conv2d_2/Conv2D",
  23335. "op": "Conv2D"
  23336. }
  23337. },
  23338. {
  23339. "ph": "X",
  23340. "cat": "Op",
  23341. "name": "Conv2D",
  23342. "pid": 15,
  23343. "tid": 3,
  23344. "ts": 1539815916952419,
  23345. "dur": 57,
  23346. "args": {
  23347. "name": "tower_2/conv2d_2/Conv2D",
  23348. "op": "Conv2D"
  23349. }
  23350. },
  23351. {
  23352. "ph": "X",
  23353. "cat": "Op",
  23354. "name": "Conv2D",
  23355. "pid": 15,
  23356. "tid": 3,
  23357. "ts": 1539815916952555,
  23358. "dur": 64,
  23359. "args": {
  23360. "name": "tower_2/conv2d_2/Conv2D",
  23361. "op": "Conv2D"
  23362. }
  23363. },
  23364. {
  23365. "ph": "X",
  23366. "cat": "Op",
  23367. "name": "Conv2D",
  23368. "pid": 15,
  23369. "tid": 4,
  23370. "ts": 1539815916952479,
  23371. "dur": 71,
  23372. "args": {
  23373. "name": "tower_2/conv2d_2/Conv2D",
  23374. "op": "Conv2D"
  23375. }
  23376. },
  23377. {
  23378. "ph": "X",
  23379. "cat": "Op",
  23380. "name": "Conv2D",
  23381. "pid": 15,
  23382. "tid": 3,
  23383. "ts": 1539815916952624,
  23384. "dur": 3,
  23385. "args": {
  23386. "name": "tower_2/conv2d_2/Conv2D",
  23387. "op": "Conv2D"
  23388. }
  23389. },
  23390. {
  23391. "ph": "X",
  23392. "cat": "Op",
  23393. "name": "Conv2D",
  23394. "pid": 15,
  23395. "tid": 3,
  23396. "ts": 1539815916952631,
  23397. "dur": 788,
  23398. "args": {
  23399. "name": "tower_2/conv2d_2/Conv2D",
  23400. "op": "Conv2D"
  23401. }
  23402. },
  23403. {
  23404. "ph": "X",
  23405. "cat": "Op",
  23406. "name": "Conv2D",
  23407. "pid": 15,
  23408. "tid": 0,
  23409. "ts": 1539815916953424,
  23410. "dur": 142,
  23411. "args": {
  23412. "name": "tower_2/conv2d_2/Conv2D",
  23413. "op": "Conv2D"
  23414. }
  23415. },
  23416. {
  23417. "ph": "X",
  23418. "cat": "Op",
  23419. "name": "Conv2D",
  23420. "pid": 15,
  23421. "tid": 4,
  23422. "ts": 1539815916953044,
  23423. "dur": 57,
  23424. "args": {
  23425. "name": "tower_3/conv2d_2/Conv2D",
  23426. "op": "Conv2D"
  23427. }
  23428. },
  23429. {
  23430. "ph": "X",
  23431. "cat": "Op",
  23432. "name": "Conv2D",
  23433. "pid": 15,
  23434. "tid": 1,
  23435. "ts": 1539815916953180,
  23436. "dur": 64,
  23437. "args": {
  23438. "name": "tower_3/conv2d_2/Conv2D",
  23439. "op": "Conv2D"
  23440. }
  23441. },
  23442. {
  23443. "ph": "X",
  23444. "cat": "Op",
  23445. "name": "Conv2D",
  23446. "pid": 15,
  23447. "tid": 4,
  23448. "ts": 1539815916953104,
  23449. "dur": 71,
  23450. "args": {
  23451. "name": "tower_3/conv2d_2/Conv2D",
  23452. "op": "Conv2D"
  23453. }
  23454. },
  23455. {
  23456. "ph": "X",
  23457. "cat": "Op",
  23458. "name": "Conv2D",
  23459. "pid": 15,
  23460. "tid": 1,
  23461. "ts": 1539815916953249,
  23462. "dur": 4,
  23463. "args": {
  23464. "name": "tower_3/conv2d_2/Conv2D",
  23465. "op": "Conv2D"
  23466. }
  23467. },
  23468. {
  23469. "ph": "X",
  23470. "cat": "Op",
  23471. "name": "Conv2D",
  23472. "pid": 15,
  23473. "tid": 1,
  23474. "ts": 1539815916953256,
  23475. "dur": 789,
  23476. "args": {
  23477. "name": "tower_3/conv2d_2/Conv2D",
  23478. "op": "Conv2D"
  23479. }
  23480. },
  23481. {
  23482. "ph": "X",
  23483. "cat": "Op",
  23484. "name": "Conv2D",
  23485. "pid": 15,
  23486. "tid": 0,
  23487. "ts": 1539815916954048,
  23488. "dur": 143,
  23489. "args": {
  23490. "name": "tower_3/conv2d_2/Conv2D",
  23491. "op": "Conv2D"
  23492. }
  23493. },
  23494. {
  23495. "ph": "X",
  23496. "cat": "Op",
  23497. "name": "Conv2D",
  23498. "pid": 15,
  23499. "tid": 5,
  23500. "ts": 1539815916953166,
  23501. "dur": 57,
  23502. "args": {
  23503. "name": "tower_1/conv2d_2/Conv2D",
  23504. "op": "Conv2D"
  23505. }
  23506. },
  23507. {
  23508. "ph": "X",
  23509. "cat": "Op",
  23510. "name": "Conv2D",
  23511. "pid": 15,
  23512. "tid": 2,
  23513. "ts": 1539815916953303,
  23514. "dur": 64,
  23515. "args": {
  23516. "name": "tower_1/conv2d_2/Conv2D",
  23517. "op": "Conv2D"
  23518. }
  23519. },
  23520. {
  23521. "ph": "X",
  23522. "cat": "Op",
  23523. "name": "Conv2D",
  23524. "pid": 15,
  23525. "tid": 4,
  23526. "ts": 1539815916953228,
  23527. "dur": 71,
  23528. "args": {
  23529. "name": "tower_1/conv2d_2/Conv2D",
  23530. "op": "Conv2D"
  23531. }
  23532. },
  23533. {
  23534. "ph": "X",
  23535. "cat": "Op",
  23536. "name": "Conv2D",
  23537. "pid": 15,
  23538. "tid": 2,
  23539. "ts": 1539815916953372,
  23540. "dur": 3,
  23541. "args": {
  23542. "name": "tower_1/conv2d_2/Conv2D",
  23543. "op": "Conv2D"
  23544. }
  23545. },
  23546. {
  23547. "ph": "X",
  23548. "cat": "Op",
  23549. "name": "Conv2D",
  23550. "pid": 15,
  23551. "tid": 2,
  23552. "ts": 1539815916953379,
  23553. "dur": 789,
  23554. "args": {
  23555. "name": "tower_1/conv2d_2/Conv2D",
  23556. "op": "Conv2D"
  23557. }
  23558. },
  23559. {
  23560. "ph": "X",
  23561. "cat": "Op",
  23562. "name": "Conv2D",
  23563. "pid": 15,
  23564. "tid": 1,
  23565. "ts": 1539815916954172,
  23566. "dur": 143,
  23567. "args": {
  23568. "name": "tower_1/conv2d_2/Conv2D",
  23569. "op": "Conv2D"
  23570. }
  23571. },
  23572. {
  23573. "ph": "X",
  23574. "cat": "Op",
  23575. "name": "Conv2D",
  23576. "pid": 15,
  23577. "tid": 4,
  23578. "ts": 1539815916953377,
  23579. "dur": 57,
  23580. "args": {
  23581. "name": "conv2d_2/Conv2D",
  23582. "op": "Conv2D"
  23583. }
  23584. },
  23585. {
  23586. "ph": "X",
  23587. "cat": "Op",
  23588. "name": "Conv2D",
  23589. "pid": 15,
  23590. "tid": 3,
  23591. "ts": 1539815916953513,
  23592. "dur": 63,
  23593. "args": {
  23594. "name": "conv2d_2/Conv2D",
  23595. "op": "Conv2D"
  23596. }
  23597. },
  23598. {
  23599. "ph": "X",
  23600. "cat": "Op",
  23601. "name": "Conv2D",
  23602. "pid": 15,
  23603. "tid": 4,
  23604. "ts": 1539815916953439,
  23605. "dur": 70,
  23606. "args": {
  23607. "name": "conv2d_2/Conv2D",
  23608. "op": "Conv2D"
  23609. }
  23610. },
  23611. {
  23612. "ph": "X",
  23613. "cat": "Op",
  23614. "name": "Conv2D",
  23615. "pid": 15,
  23616. "tid": 3,
  23617. "ts": 1539815916953581,
  23618. "dur": 4,
  23619. "args": {
  23620. "name": "conv2d_2/Conv2D",
  23621. "op": "Conv2D"
  23622. }
  23623. },
  23624. {
  23625. "ph": "X",
  23626. "cat": "Op",
  23627. "name": "Conv2D",
  23628. "pid": 15,
  23629. "tid": 3,
  23630. "ts": 1539815916953588,
  23631. "dur": 789,
  23632. "args": {
  23633. "name": "conv2d_2/Conv2D",
  23634. "op": "Conv2D"
  23635. }
  23636. },
  23637. {
  23638. "ph": "X",
  23639. "cat": "Op",
  23640. "name": "Conv2D",
  23641. "pid": 15,
  23642. "tid": 0,
  23643. "ts": 1539815916954382,
  23644. "dur": 142,
  23645. "args": {
  23646. "name": "conv2d_2/Conv2D",
  23647. "op": "Conv2D"
  23648. }
  23649. },
  23650. {
  23651. "ph": "X",
  23652. "cat": "Op",
  23653. "name": "Conv2D",
  23654. "pid": 15,
  23655. "tid": 4,
  23656. "ts": 1539815916953613,
  23657. "dur": 57,
  23658. "args": {
  23659. "name": "tower_2/conv2d_2/Conv2D",
  23660. "op": "Conv2D"
  23661. }
  23662. },
  23663. {
  23664. "ph": "X",
  23665. "cat": "Op",
  23666. "name": "Conv2D",
  23667. "pid": 15,
  23668. "tid": 4,
  23669. "ts": 1539815916953749,
  23670. "dur": 63,
  23671. "args": {
  23672. "name": "tower_2/conv2d_2/Conv2D",
  23673. "op": "Conv2D"
  23674. }
  23675. },
  23676. {
  23677. "ph": "X",
  23678. "cat": "Op",
  23679. "name": "Conv2D",
  23680. "pid": 15,
  23681. "tid": 5,
  23682. "ts": 1539815916953673,
  23683. "dur": 71,
  23684. "args": {
  23685. "name": "tower_2/conv2d_2/Conv2D",
  23686. "op": "Conv2D"
  23687. }
  23688. },
  23689. {
  23690. "ph": "X",
  23691. "cat": "Op",
  23692. "name": "Conv2D",
  23693. "pid": 15,
  23694. "tid": 4,
  23695. "ts": 1539815916953817,
  23696. "dur": 4,
  23697. "args": {
  23698. "name": "tower_2/conv2d_2/Conv2D",
  23699. "op": "Conv2D"
  23700. }
  23701. },
  23702. {
  23703. "ph": "X",
  23704. "cat": "Op",
  23705. "name": "Conv2D",
  23706. "pid": 15,
  23707. "tid": 4,
  23708. "ts": 1539815916953824,
  23709. "dur": 790,
  23710. "args": {
  23711. "name": "tower_2/conv2d_2/Conv2D",
  23712. "op": "Conv2D"
  23713. }
  23714. },
  23715. {
  23716. "ph": "X",
  23717. "cat": "Op",
  23718. "name": "Conv2D",
  23719. "pid": 15,
  23720. "tid": 0,
  23721. "ts": 1539815916954619,
  23722. "dur": 142,
  23723. "args": {
  23724. "name": "tower_2/conv2d_2/Conv2D",
  23725. "op": "Conv2D"
  23726. }
  23727. },
  23728. {
  23729. "ph": "X",
  23730. "cat": "Op",
  23731. "name": "Conv2D",
  23732. "pid": 15,
  23733. "tid": 2,
  23734. "ts": 1539815916954238,
  23735. "dur": 57,
  23736. "args": {
  23737. "name": "tower_3/conv2d_2/Conv2D",
  23738. "op": "Conv2D"
  23739. }
  23740. },
  23741. {
  23742. "ph": "X",
  23743. "cat": "Op",
  23744. "name": "Conv2D",
  23745. "pid": 15,
  23746. "tid": 1,
  23747. "ts": 1539815916954374,
  23748. "dur": 63,
  23749. "args": {
  23750. "name": "tower_3/conv2d_2/Conv2D",
  23751. "op": "Conv2D"
  23752. }
  23753. },
  23754. {
  23755. "ph": "X",
  23756. "cat": "Op",
  23757. "name": "Conv2D",
  23758. "pid": 15,
  23759. "tid": 2,
  23760. "ts": 1539815916954298,
  23761. "dur": 71,
  23762. "args": {
  23763. "name": "tower_3/conv2d_2/Conv2D",
  23764. "op": "Conv2D"
  23765. }
  23766. },
  23767. {
  23768. "ph": "X",
  23769. "cat": "Op",
  23770. "name": "Conv2D",
  23771. "pid": 15,
  23772. "tid": 1,
  23773. "ts": 1539815916954441,
  23774. "dur": 4,
  23775. "args": {
  23776. "name": "tower_3/conv2d_2/Conv2D",
  23777. "op": "Conv2D"
  23778. }
  23779. },
  23780. {
  23781. "ph": "X",
  23782. "cat": "Op",
  23783. "name": "Conv2D",
  23784. "pid": 15,
  23785. "tid": 1,
  23786. "ts": 1539815916954449,
  23787. "dur": 788,
  23788. "args": {
  23789. "name": "tower_3/conv2d_2/Conv2D",
  23790. "op": "Conv2D"
  23791. }
  23792. },
  23793. {
  23794. "ph": "X",
  23795. "cat": "Op",
  23796. "name": "Conv2D",
  23797. "pid": 15,
  23798. "tid": 0,
  23799. "ts": 1539815916955241,
  23800. "dur": 143,
  23801. "args": {
  23802. "name": "tower_3/conv2d_2/Conv2D",
  23803. "op": "Conv2D"
  23804. }
  23805. },
  23806. {
  23807. "ph": "X",
  23808. "cat": "Op",
  23809. "name": "Conv2D",
  23810. "pid": 15,
  23811. "tid": 5,
  23812. "ts": 1539815916954363,
  23813. "dur": 57,
  23814. "args": {
  23815. "name": "tower_1/conv2d_2/Conv2D",
  23816. "op": "Conv2D"
  23817. }
  23818. },
  23819. {
  23820. "ph": "X",
  23821. "cat": "Op",
  23822. "name": "Conv2D",
  23823. "pid": 15,
  23824. "tid": 2,
  23825. "ts": 1539815916954500,
  23826. "dur": 64,
  23827. "args": {
  23828. "name": "tower_1/conv2d_2/Conv2D",
  23829. "op": "Conv2D"
  23830. }
  23831. },
  23832. {
  23833. "ph": "X",
  23834. "cat": "Op",
  23835. "name": "Conv2D",
  23836. "pid": 15,
  23837. "tid": 3,
  23838. "ts": 1539815916954425,
  23839. "dur": 71,
  23840. "args": {
  23841. "name": "tower_1/conv2d_2/Conv2D",
  23842. "op": "Conv2D"
  23843. }
  23844. },
  23845. {
  23846. "ph": "X",
  23847. "cat": "Op",
  23848. "name": "Conv2D",
  23849. "pid": 15,
  23850. "tid": 2,
  23851. "ts": 1539815916954569,
  23852. "dur": 3,
  23853. "args": {
  23854. "name": "tower_1/conv2d_2/Conv2D",
  23855. "op": "Conv2D"
  23856. }
  23857. },
  23858. {
  23859. "ph": "X",
  23860. "cat": "Op",
  23861. "name": "Conv2D",
  23862. "pid": 15,
  23863. "tid": 2,
  23864. "ts": 1539815916954576,
  23865. "dur": 785,
  23866. "args": {
  23867. "name": "tower_1/conv2d_2/Conv2D",
  23868. "op": "Conv2D"
  23869. }
  23870. },
  23871. {
  23872. "ph": "X",
  23873. "cat": "Op",
  23874. "name": "Conv2D",
  23875. "pid": 15,
  23876. "tid": 1,
  23877. "ts": 1539815916955366,
  23878. "dur": 142,
  23879. "args": {
  23880. "name": "tower_1/conv2d_2/Conv2D",
  23881. "op": "Conv2D"
  23882. }
  23883. },
  23884. {
  23885. "ph": "X",
  23886. "cat": "Op",
  23887. "name": "Conv2D",
  23888. "pid": 15,
  23889. "tid": 3,
  23890. "ts": 1539815916954597,
  23891. "dur": 231,
  23892. "args": {
  23893. "name": "conv2d_2/Conv2D",
  23894. "op": "Conv2D"
  23895. }
  23896. },
  23897. {
  23898. "ph": "X",
  23899. "cat": "Op",
  23900. "name": "Conv2D",
  23901. "pid": 15,
  23902. "tid": 3,
  23903. "ts": 1539815916954832,
  23904. "dur": 252,
  23905. "args": {
  23906. "name": "conv2d_2/Conv2D",
  23907. "op": "Conv2D"
  23908. }
  23909. },
  23910. {
  23911. "ph": "X",
  23912. "cat": "Op",
  23913. "name": "Conv2D",
  23914. "pid": 15,
  23915. "tid": 3,
  23916. "ts": 1539815916955096,
  23917. "dur": 2306,
  23918. "args": {
  23919. "name": "conv2d_2/Conv2D",
  23920. "op": "Conv2D"
  23921. }
  23922. },
  23923. {
  23924. "ph": "X",
  23925. "cat": "Op",
  23926. "name": "Conv2D",
  23927. "pid": 15,
  23928. "tid": 0,
  23929. "ts": 1539815916957405,
  23930. "dur": 445,
  23931. "args": {
  23932. "name": "conv2d_2/Conv2D",
  23933. "op": "Conv2D"
  23934. }
  23935. },
  23936. {
  23937. "ph": "X",
  23938. "cat": "Op",
  23939. "name": "Conv2D",
  23940. "pid": 15,
  23941. "tid": 4,
  23942. "ts": 1539815916954851,
  23943. "dur": 232,
  23944. "args": {
  23945. "name": "tower_2/conv2d_2/Conv2D",
  23946. "op": "Conv2D"
  23947. }
  23948. },
  23949. {
  23950. "ph": "X",
  23951. "cat": "Op",
  23952. "name": "Conv2D",
  23953. "pid": 15,
  23954. "tid": 4,
  23955. "ts": 1539815916955088,
  23956. "dur": 257,
  23957. "args": {
  23958. "name": "tower_2/conv2d_2/Conv2D",
  23959. "op": "Conv2D"
  23960. }
  23961. },
  23962. {
  23963. "ph": "X",
  23964. "cat": "Op",
  23965. "name": "Conv2D",
  23966. "pid": 15,
  23967. "tid": 4,
  23968. "ts": 1539815916955355,
  23969. "dur": 2314,
  23970. "args": {
  23971. "name": "tower_2/conv2d_2/Conv2D",
  23972. "op": "Conv2D"
  23973. }
  23974. },
  23975. {
  23976. "ph": "X",
  23977. "cat": "Op",
  23978. "name": "Conv2D",
  23979. "pid": 15,
  23980. "tid": 1,
  23981. "ts": 1539815916957672,
  23982. "dur": 438,
  23983. "args": {
  23984. "name": "tower_2/conv2d_2/Conv2D",
  23985. "op": "Conv2D"
  23986. }
  23987. },
  23988. {
  23989. "ph": "X",
  23990. "cat": "Op",
  23991. "name": "Conv2D",
  23992. "pid": 15,
  23993. "tid": 2,
  23994. "ts": 1539815916955461,
  23995. "dur": 230,
  23996. "args": {
  23997. "name": "tower_3/conv2d_2/Conv2D",
  23998. "op": "Conv2D"
  23999. }
  24000. },
  24001. {
  24002. "ph": "X",
  24003. "cat": "Op",
  24004. "name": "Conv2D",
  24005. "pid": 15,
  24006. "tid": 2,
  24007. "ts": 1539815916955696,
  24008. "dur": 255,
  24009. "args": {
  24010. "name": "tower_3/conv2d_2/Conv2D",
  24011. "op": "Conv2D"
  24012. }
  24013. },
  24014. {
  24015. "ph": "X",
  24016. "cat": "Op",
  24017. "name": "Conv2D",
  24018. "pid": 15,
  24019. "tid": 2,
  24020. "ts": 1539815916955961,
  24021. "dur": 2311,
  24022. "args": {
  24023. "name": "tower_3/conv2d_2/Conv2D",
  24024. "op": "Conv2D"
  24025. }
  24026. },
  24027. {
  24028. "ph": "X",
  24029. "cat": "Op",
  24030. "name": "Conv2D",
  24031. "pid": 15,
  24032. "tid": 0,
  24033. "ts": 1539815916958276,
  24034. "dur": 440,
  24035. "args": {
  24036. "name": "tower_3/conv2d_2/Conv2D",
  24037. "op": "Conv2D"
  24038. }
  24039. },
  24040. {
  24041. "ph": "X",
  24042. "cat": "Op",
  24043. "name": "Conv2D",
  24044. "pid": 15,
  24045. "tid": 5,
  24046. "ts": 1539815916955588,
  24047. "dur": 230,
  24048. "args": {
  24049. "name": "tower_1/conv2d_2/Conv2D",
  24050. "op": "Conv2D"
  24051. }
  24052. },
  24053. {
  24054. "ph": "X",
  24055. "cat": "Op",
  24056. "name": "Conv2D",
  24057. "pid": 15,
  24058. "tid": 5,
  24059. "ts": 1539815916955822,
  24060. "dur": 258,
  24061. "args": {
  24062. "name": "tower_1/conv2d_2/Conv2D",
  24063. "op": "Conv2D"
  24064. }
  24065. },
  24066. {
  24067. "ph": "X",
  24068. "cat": "Op",
  24069. "name": "Conv2D",
  24070. "pid": 15,
  24071. "tid": 5,
  24072. "ts": 1539815916956090,
  24073. "dur": 2313,
  24074. "args": {
  24075. "name": "tower_1/conv2d_2/Conv2D",
  24076. "op": "Conv2D"
  24077. }
  24078. },
  24079. {
  24080. "ph": "X",
  24081. "cat": "Op",
  24082. "name": "Conv2D",
  24083. "pid": 15,
  24084. "tid": 1,
  24085. "ts": 1539815916958406,
  24086. "dur": 448,
  24087. "args": {
  24088. "name": "tower_1/conv2d_2/Conv2D",
  24089. "op": "Conv2D"
  24090. }
  24091. },
  24092. {
  24093. "ph": "X",
  24094. "cat": "Op",
  24095. "name": "Conv2D",
  24096. "pid": 15,
  24097. "tid": 3,
  24098. "ts": 1539815916957909,
  24099. "dur": 228,
  24100. "args": {
  24101. "name": "conv2d_2/Conv2D",
  24102. "op": "Conv2D"
  24103. }
  24104. },
  24105. {
  24106. "ph": "X",
  24107. "cat": "Op",
  24108. "name": "Conv2D",
  24109. "pid": 15,
  24110. "tid": 3,
  24111. "ts": 1539815916958142,
  24112. "dur": 254,
  24113. "args": {
  24114. "name": "conv2d_2/Conv2D",
  24115. "op": "Conv2D"
  24116. }
  24117. },
  24118. {
  24119. "ph": "X",
  24120. "cat": "Op",
  24121. "name": "Conv2D",
  24122. "pid": 15,
  24123. "tid": 2,
  24124. "ts": 1539815916958406,
  24125. "dur": 2315,
  24126. "args": {
  24127. "name": "conv2d_2/Conv2D",
  24128. "op": "Conv2D"
  24129. }
  24130. },
  24131. {
  24132. "ph": "X",
  24133. "cat": "Op",
  24134. "name": "Conv2D",
  24135. "pid": 15,
  24136. "tid": 0,
  24137. "ts": 1539815916960724,
  24138. "dur": 445,
  24139. "args": {
  24140. "name": "conv2d_2/Conv2D",
  24141. "op": "Conv2D"
  24142. }
  24143. },
  24144. {
  24145. "ph": "X",
  24146. "cat": "Op",
  24147. "name": "Conv2D",
  24148. "pid": 15,
  24149. "tid": 4,
  24150. "ts": 1539815916958166,
  24151. "dur": 232,
  24152. "args": {
  24153. "name": "tower_2/conv2d_2/Conv2D",
  24154. "op": "Conv2D"
  24155. }
  24156. },
  24157. {
  24158. "ph": "X",
  24159. "cat": "Op",
  24160. "name": "Conv2D",
  24161. "pid": 15,
  24162. "tid": 3,
  24163. "ts": 1539815916958402,
  24164. "dur": 253,
  24165. "args": {
  24166. "name": "tower_2/conv2d_2/Conv2D",
  24167. "op": "Conv2D"
  24168. }
  24169. },
  24170. {
  24171. "ph": "X",
  24172. "cat": "Op",
  24173. "name": "Conv2D",
  24174. "pid": 15,
  24175. "tid": 3,
  24176. "ts": 1539815916958665,
  24177. "dur": 2311,
  24178. "args": {
  24179. "name": "tower_2/conv2d_2/Conv2D",
  24180. "op": "Conv2D"
  24181. }
  24182. },
  24183. {
  24184. "ph": "X",
  24185. "cat": "Op",
  24186. "name": "Conv2D",
  24187. "pid": 15,
  24188. "tid": 1,
  24189. "ts": 1539815916960980,
  24190. "dur": 438,
  24191. "args": {
  24192. "name": "tower_2/conv2d_2/Conv2D",
  24193. "op": "Conv2D"
  24194. }
  24195. },
  24196. {
  24197. "ph": "X",
  24198. "cat": "Op",
  24199. "name": "Conv2D",
  24200. "pid": 15,
  24201. "tid": 4,
  24202. "ts": 1539815916958772,
  24203. "dur": 231,
  24204. "args": {
  24205. "name": "tower_3/conv2d_2/Conv2D",
  24206. "op": "Conv2D"
  24207. }
  24208. },
  24209. {
  24210. "ph": "X",
  24211. "cat": "Op",
  24212. "name": "Conv2D",
  24213. "pid": 15,
  24214. "tid": 4,
  24215. "ts": 1539815916959008,
  24216. "dur": 254,
  24217. "args": {
  24218. "name": "tower_3/conv2d_2/Conv2D",
  24219. "op": "Conv2D"
  24220. }
  24221. },
  24222. {
  24223. "ph": "X",
  24224. "cat": "Op",
  24225. "name": "Conv2D",
  24226. "pid": 15,
  24227. "tid": 4,
  24228. "ts": 1539815916959273,
  24229. "dur": 2303,
  24230. "args": {
  24231. "name": "tower_3/conv2d_2/Conv2D",
  24232. "op": "Conv2D"
  24233. }
  24234. },
  24235. {
  24236. "ph": "X",
  24237. "cat": "Op",
  24238. "name": "Conv2D",
  24239. "pid": 15,
  24240. "tid": 0,
  24241. "ts": 1539815916961581,
  24242. "dur": 444,
  24243. "args": {
  24244. "name": "tower_3/conv2d_2/Conv2D",
  24245. "op": "Conv2D"
  24246. }
  24247. },
  24248. {
  24249. "ph": "X",
  24250. "cat": "Op",
  24251. "name": "Conv2D",
  24252. "pid": 15,
  24253. "tid": 5,
  24254. "ts": 1539815916958916,
  24255. "dur": 231,
  24256. "args": {
  24257. "name": "tower_1/conv2d_2/Conv2D",
  24258. "op": "Conv2D"
  24259. }
  24260. },
  24261. {
  24262. "ph": "X",
  24263. "cat": "Op",
  24264. "name": "Conv2D",
  24265. "pid": 15,
  24266. "tid": 5,
  24267. "ts": 1539815916959151,
  24268. "dur": 255,
  24269. "args": {
  24270. "name": "tower_1/conv2d_2/Conv2D",
  24271. "op": "Conv2D"
  24272. }
  24273. },
  24274. {
  24275. "ph": "X",
  24276. "cat": "Op",
  24277. "name": "Conv2D",
  24278. "pid": 15,
  24279. "tid": 5,
  24280. "ts": 1539815916959418,
  24281. "dur": 2313,
  24282. "args": {
  24283. "name": "tower_1/conv2d_2/Conv2D",
  24284. "op": "Conv2D"
  24285. }
  24286. },
  24287. {
  24288. "ph": "X",
  24289. "cat": "Op",
  24290. "name": "Conv2D",
  24291. "pid": 15,
  24292. "tid": 1,
  24293. "ts": 1539815916961734,
  24294. "dur": 450,
  24295. "args": {
  24296. "name": "tower_1/conv2d_2/Conv2D",
  24297. "op": "Conv2D"
  24298. }
  24299. },
  24300. {
  24301. "ph": "X",
  24302. "cat": "Op",
  24303. "name": "Conv2D",
  24304. "pid": 15,
  24305. "tid": 2,
  24306. "ts": 1539815916961219,
  24307. "dur": 282,
  24308. "args": {
  24309. "name": "conv2d_2/Conv2D",
  24310. "op": "Conv2D"
  24311. }
  24312. },
  24313. {
  24314. "ph": "X",
  24315. "cat": "Op",
  24316. "name": "Conv2D",
  24317. "pid": 15,
  24318. "tid": 2,
  24319. "ts": 1539815916961505,
  24320. "dur": 51,
  24321. "args": {
  24322. "name": "conv2d_2/Conv2D",
  24323. "op": "Conv2D"
  24324. }
  24325. },
  24326. {
  24327. "ph": "X",
  24328. "cat": "Op",
  24329. "name": "Conv2D",
  24330. "pid": 15,
  24331. "tid": 2,
  24332. "ts": 1539815916961560,
  24333. "dur": 236,
  24334. "args": {
  24335. "name": "conv2d_2/Conv2D",
  24336. "op": "Conv2D"
  24337. }
  24338. },
  24339. {
  24340. "ph": "X",
  24341. "cat": "Op",
  24342. "name": "Conv2D",
  24343. "pid": 15,
  24344. "tid": 2,
  24345. "ts": 1539815916961800,
  24346. "dur": 438,
  24347. "args": {
  24348. "name": "conv2d_2/Conv2D",
  24349. "op": "Conv2D"
  24350. }
  24351. },
  24352. {
  24353. "ph": "X",
  24354. "cat": "Op",
  24355. "name": "Conv2D",
  24356. "pid": 15,
  24357. "tid": 3,
  24358. "ts": 1539815916961467,
  24359. "dur": 282,
  24360. "args": {
  24361. "name": "tower_2/conv2d_2/Conv2D",
  24362. "op": "Conv2D"
  24363. }
  24364. },
  24365. {
  24366. "ph": "X",
  24367. "cat": "Op",
  24368. "name": "Conv2D",
  24369. "pid": 15,
  24370. "tid": 3,
  24371. "ts": 1539815916961753,
  24372. "dur": 52,
  24373. "args": {
  24374. "name": "tower_2/conv2d_2/Conv2D",
  24375. "op": "Conv2D"
  24376. }
  24377. },
  24378. {
  24379. "ph": "X",
  24380. "cat": "Op",
  24381. "name": "Conv2D",
  24382. "pid": 15,
  24383. "tid": 3,
  24384. "ts": 1539815916961809,
  24385. "dur": 236,
  24386. "args": {
  24387. "name": "tower_2/conv2d_2/Conv2D",
  24388. "op": "Conv2D"
  24389. }
  24390. },
  24391. {
  24392. "ph": "X",
  24393. "cat": "Op",
  24394. "name": "Conv2D",
  24395. "pid": 15,
  24396. "tid": 0,
  24397. "ts": 1539815916962049,
  24398. "dur": 439,
  24399. "args": {
  24400. "name": "tower_2/conv2d_2/Conv2D",
  24401. "op": "Conv2D"
  24402. }
  24403. },
  24404. {
  24405. "ph": "X",
  24406. "cat": "Op",
  24407. "name": "Conv2D",
  24408. "pid": 15,
  24409. "tid": 3,
  24410. "ts": 1539815916962072,
  24411. "dur": 282,
  24412. "args": {
  24413. "name": "tower_3/conv2d_2/Conv2D",
  24414. "op": "Conv2D"
  24415. }
  24416. },
  24417. {
  24418. "ph": "X",
  24419. "cat": "Op",
  24420. "name": "Conv2D",
  24421. "pid": 15,
  24422. "tid": 1,
  24423. "ts": 1539815916962358,
  24424. "dur": 52,
  24425. "args": {
  24426. "name": "tower_3/conv2d_2/Conv2D",
  24427. "op": "Conv2D"
  24428. }
  24429. },
  24430. {
  24431. "ph": "X",
  24432. "cat": "Op",
  24433. "name": "Conv2D",
  24434. "pid": 15,
  24435. "tid": 1,
  24436. "ts": 1539815916962414,
  24437. "dur": 237,
  24438. "args": {
  24439. "name": "tower_3/conv2d_2/Conv2D",
  24440. "op": "Conv2D"
  24441. }
  24442. },
  24443. {
  24444. "ph": "X",
  24445. "cat": "Op",
  24446. "name": "Conv2D",
  24447. "pid": 15,
  24448. "tid": 0,
  24449. "ts": 1539815916962655,
  24450. "dur": 440,
  24451. "args": {
  24452. "name": "tower_3/conv2d_2/Conv2D",
  24453. "op": "Conv2D"
  24454. }
  24455. },
  24456. {
  24457. "ph": "X",
  24458. "cat": "Op",
  24459. "name": "Conv2D",
  24460. "pid": 15,
  24461. "tid": 4,
  24462. "ts": 1539815916962230,
  24463. "dur": 283,
  24464. "args": {
  24465. "name": "tower_1/conv2d_2/Conv2D",
  24466. "op": "Conv2D"
  24467. }
  24468. },
  24469. {
  24470. "ph": "X",
  24471. "cat": "Op",
  24472. "name": "Conv2D",
  24473. "pid": 15,
  24474. "tid": 2,
  24475. "ts": 1539815916962518,
  24476. "dur": 50,
  24477. "args": {
  24478. "name": "tower_1/conv2d_2/Conv2D",
  24479. "op": "Conv2D"
  24480. }
  24481. },
  24482. {
  24483. "ph": "X",
  24484. "cat": "Op",
  24485. "name": "Conv2D",
  24486. "pid": 15,
  24487. "tid": 2,
  24488. "ts": 1539815916962573,
  24489. "dur": 248,
  24490. "args": {
  24491. "name": "tower_1/conv2d_2/Conv2D",
  24492. "op": "Conv2D"
  24493. }
  24494. },
  24495. {
  24496. "ph": "X",
  24497. "cat": "Op",
  24498. "name": "Conv2D",
  24499. "pid": 15,
  24500. "tid": 1,
  24501. "ts": 1539815916962825,
  24502. "dur": 438,
  24503. "args": {
  24504. "name": "tower_1/conv2d_2/Conv2D",
  24505. "op": "Conv2D"
  24506. }
  24507. },
  24508. {
  24509. "ph": "X",
  24510. "cat": "Op",
  24511. "name": "Conv2D",
  24512. "pid": 15,
  24513. "tid": 5,
  24514. "ts": 1539815916962282,
  24515. "dur": 282,
  24516. "args": {
  24517. "name": "conv2d_2/Conv2D",
  24518. "op": "Conv2D"
  24519. }
  24520. },
  24521. {
  24522. "ph": "X",
  24523. "cat": "Op",
  24524. "name": "Conv2D",
  24525. "pid": 15,
  24526. "tid": 3,
  24527. "ts": 1539815916962567,
  24528. "dur": 51,
  24529. "args": {
  24530. "name": "conv2d_2/Conv2D",
  24531. "op": "Conv2D"
  24532. }
  24533. },
  24534. {
  24535. "ph": "X",
  24536. "cat": "Op",
  24537. "name": "Conv2D",
  24538. "pid": 15,
  24539. "tid": 3,
  24540. "ts": 1539815916962623,
  24541. "dur": 236,
  24542. "args": {
  24543. "name": "conv2d_2/Conv2D",
  24544. "op": "Conv2D"
  24545. }
  24546. },
  24547. {
  24548. "ph": "X",
  24549. "cat": "Op",
  24550. "name": "Conv2D",
  24551. "pid": 15,
  24552. "tid": 2,
  24553. "ts": 1539815916962863,
  24554. "dur": 439,
  24555. "args": {
  24556. "name": "conv2d_2/Conv2D",
  24557. "op": "Conv2D"
  24558. }
  24559. },
  24560. {
  24561. "ph": "X",
  24562. "cat": "Op",
  24563. "name": "Conv2D",
  24564. "pid": 15,
  24565. "tid": 4,
  24566. "ts": 1539815916962530,
  24567. "dur": 283,
  24568. "args": {
  24569. "name": "tower_2/conv2d_2/Conv2D",
  24570. "op": "Conv2D"
  24571. }
  24572. },
  24573. {
  24574. "ph": "X",
  24575. "cat": "Op",
  24576. "name": "Conv2D",
  24577. "pid": 15,
  24578. "tid": 4,
  24579. "ts": 1539815916962817,
  24580. "dur": 50,
  24581. "args": {
  24582. "name": "tower_2/conv2d_2/Conv2D",
  24583. "op": "Conv2D"
  24584. }
  24585. },
  24586. {
  24587. "ph": "X",
  24588. "cat": "Op",
  24589. "name": "Conv2D",
  24590. "pid": 15,
  24591. "tid": 3,
  24592. "ts": 1539815916962871,
  24593. "dur": 248,
  24594. "args": {
  24595. "name": "tower_2/conv2d_2/Conv2D",
  24596. "op": "Conv2D"
  24597. }
  24598. },
  24599. {
  24600. "ph": "X",
  24601. "cat": "Op",
  24602. "name": "Conv2D",
  24603. "pid": 15,
  24604. "tid": 0,
  24605. "ts": 1539815916963123,
  24606. "dur": 438,
  24607. "args": {
  24608. "name": "tower_2/conv2d_2/Conv2D",
  24609. "op": "Conv2D"
  24610. }
  24611. },
  24612. {
  24613. "ph": "X",
  24614. "cat": "Op",
  24615. "name": "Conv2D",
  24616. "pid": 15,
  24617. "tid": 3,
  24618. "ts": 1539815916963141,
  24619. "dur": 282,
  24620. "args": {
  24621. "name": "tower_3/conv2d_2/Conv2D",
  24622. "op": "Conv2D"
  24623. }
  24624. },
  24625. {
  24626. "ph": "X",
  24627. "cat": "Op",
  24628. "name": "Conv2D",
  24629. "pid": 15,
  24630. "tid": 1,
  24631. "ts": 1539815916963427,
  24632. "dur": 50,
  24633. "args": {
  24634. "name": "tower_3/conv2d_2/Conv2D",
  24635. "op": "Conv2D"
  24636. }
  24637. },
  24638. {
  24639. "ph": "X",
  24640. "cat": "Op",
  24641. "name": "Conv2D",
  24642. "pid": 15,
  24643. "tid": 1,
  24644. "ts": 1539815916963481,
  24645. "dur": 248,
  24646. "args": {
  24647. "name": "tower_3/conv2d_2/Conv2D",
  24648. "op": "Conv2D"
  24649. }
  24650. },
  24651. {
  24652. "ph": "X",
  24653. "cat": "Op",
  24654. "name": "Conv2D",
  24655. "pid": 15,
  24656. "tid": 0,
  24657. "ts": 1539815916963733,
  24658. "dur": 438,
  24659. "args": {
  24660. "name": "tower_3/conv2d_2/Conv2D",
  24661. "op": "Conv2D"
  24662. }
  24663. },
  24664. {
  24665. "ph": "X",
  24666. "cat": "Op",
  24667. "name": "Conv2D",
  24668. "pid": 15,
  24669. "tid": 2,
  24670. "ts": 1539815916963312,
  24671. "dur": 283,
  24672. "args": {
  24673. "name": "tower_1/conv2d_2/Conv2D",
  24674. "op": "Conv2D"
  24675. }
  24676. },
  24677. {
  24678. "ph": "X",
  24679. "cat": "Op",
  24680. "name": "Conv2D",
  24681. "pid": 15,
  24682. "tid": 2,
  24683. "ts": 1539815916963599,
  24684. "dur": 52,
  24685. "args": {
  24686. "name": "tower_1/conv2d_2/Conv2D",
  24687. "op": "Conv2D"
  24688. }
  24689. },
  24690. {
  24691. "ph": "X",
  24692. "cat": "Op",
  24693. "name": "Conv2D",
  24694. "pid": 15,
  24695. "tid": 4,
  24696. "ts": 1539815916963354,
  24697. "dur": 282,
  24698. "args": {
  24699. "name": "conv2d_2/Conv2D",
  24700. "op": "Conv2D"
  24701. }
  24702. },
  24703. {
  24704. "ph": "X",
  24705. "cat": "Op",
  24706. "name": "Conv2D",
  24707. "pid": 15,
  24708. "tid": 3,
  24709. "ts": 1539815916963640,
  24710. "dur": 50,
  24711. "args": {
  24712. "name": "conv2d_2/Conv2D",
  24713. "op": "Conv2D"
  24714. }
  24715. },
  24716. {
  24717. "ph": "X",
  24718. "cat": "Op",
  24719. "name": "Conv2D",
  24720. "pid": 15,
  24721. "tid": 2,
  24722. "ts": 1539815916963654,
  24723. "dur": 248,
  24724. "args": {
  24725. "name": "tower_1/conv2d_2/Conv2D",
  24726. "op": "Conv2D"
  24727. }
  24728. },
  24729. {
  24730. "ph": "X",
  24731. "cat": "Op",
  24732. "name": "Conv2D",
  24733. "pid": 15,
  24734. "tid": 1,
  24735. "ts": 1539815916963907,
  24736. "dur": 437,
  24737. "args": {
  24738. "name": "tower_1/conv2d_2/Conv2D",
  24739. "op": "Conv2D"
  24740. }
  24741. },
  24742. {
  24743. "ph": "X",
  24744. "cat": "Op",
  24745. "name": "Conv2D",
  24746. "pid": 15,
  24747. "tid": 3,
  24748. "ts": 1539815916963694,
  24749. "dur": 247,
  24750. "args": {
  24751. "name": "conv2d_2/Conv2D",
  24752. "op": "Conv2D"
  24753. }
  24754. },
  24755. {
  24756. "ph": "X",
  24757. "cat": "Op",
  24758. "name": "Conv2D",
  24759. "pid": 15,
  24760. "tid": 2,
  24761. "ts": 1539815916963945,
  24762. "dur": 438,
  24763. "args": {
  24764. "name": "conv2d_2/Conv2D",
  24765. "op": "Conv2D"
  24766. }
  24767. },
  24768. {
  24769. "ph": "X",
  24770. "cat": "Op",
  24771. "name": "Mul",
  24772. "pid": 15,
  24773. "tid": 0,
  24774. "ts": 1539815916964386,
  24775. "dur": 4,
  24776. "args": {
  24777. "name": "batch_normalization_2/AssignMovingAvg/mul",
  24778. "op": "Mul"
  24779. }
  24780. },
  24781. {
  24782. "ph": "X",
  24783. "cat": "Op",
  24784. "name": "Mul",
  24785. "pid": 15,
  24786. "tid": 0,
  24787. "ts": 1539815916964393,
  24788. "dur": 4,
  24789. "args": {
  24790. "name": "batch_normalization_2/AssignMovingAvg_1/mul",
  24791. "op": "Mul"
  24792. }
  24793. },
  24794. {
  24795. "ph": "X",
  24796. "cat": "Op",
  24797. "name": "BiasAdd",
  24798. "pid": 15,
  24799. "tid": 0,
  24800. "ts": 1539815916964400,
  24801. "dur": 44,
  24802. "args": {
  24803. "name": "conv2d_2/BiasAdd",
  24804. "op": "BiasAdd"
  24805. }
  24806. },
  24807. {
  24808. "ph": "X",
  24809. "cat": "Op",
  24810. "name": "AssignSubVariableOp",
  24811. "pid": 15,
  24812. "tid": 0,
  24813. "ts": 1539815916964452,
  24814. "dur": 4,
  24815. "args": {
  24816. "name": "batch_normalization_2/AssignMovingAvg/AssignSubVariableOp",
  24817. "op": "AssignSubVariableOp"
  24818. }
  24819. },
  24820. {
  24821. "ph": "X",
  24822. "cat": "Op",
  24823. "name": "AssignSubVariableOp",
  24824. "pid": 15,
  24825. "tid": 0,
  24826. "ts": 1539815916964465,
  24827. "dur": 3,
  24828. "args": {
  24829. "name": "batch_normalization_2/AssignMovingAvg_1/AssignSubVariableOp",
  24830. "op": "AssignSubVariableOp"
  24831. }
  24832. },
  24833. {
  24834. "ph": "X",
  24835. "cat": "Op",
  24836. "name": "Conv2D",
  24837. "pid": 15,
  24838. "tid": 5,
  24839. "ts": 1539815916963606,
  24840. "dur": 282,
  24841. "args": {
  24842. "name": "tower_2/conv2d_2/Conv2D",
  24843. "op": "Conv2D"
  24844. }
  24845. },
  24846. {
  24847. "ph": "X",
  24848. "cat": "Op",
  24849. "name": "Elu",
  24850. "pid": 15,
  24851. "tid": 0,
  24852. "ts": 1539815916964471,
  24853. "dur": 37,
  24854. "args": {
  24855. "name": "conv2d_2/Elu",
  24856. "op": "Elu"
  24857. }
  24858. },
  24859. {
  24860. "ph": "X",
  24861. "cat": "Op",
  24862. "name": "Conv2D",
  24863. "pid": 15,
  24864. "tid": 4,
  24865. "ts": 1539815916963892,
  24866. "dur": 51,
  24867. "args": {
  24868. "name": "tower_2/conv2d_2/Conv2D",
  24869. "op": "Conv2D"
  24870. }
  24871. },
  24872. {
  24873. "ph": "X",
  24874. "cat": "Op",
  24875. "name": "Conv2D",
  24876. "pid": 15,
  24877. "tid": 3,
  24878. "ts": 1539815916963947,
  24879. "dur": 247,
  24880. "args": {
  24881. "name": "tower_2/conv2d_2/Conv2D",
  24882. "op": "Conv2D"
  24883. }
  24884. },
  24885. {
  24886. "ph": "X",
  24887. "cat": "Op",
  24888. "name": "Conv2D",
  24889. "pid": 15,
  24890. "tid": 3,
  24891. "ts": 1539815916964198,
  24892. "dur": 439,
  24893. "args": {
  24894. "name": "tower_2/conv2d_2/Conv2D",
  24895. "op": "Conv2D"
  24896. }
  24897. },
  24898. {
  24899. "ph": "X",
  24900. "cat": "Op",
  24901. "name": "MaxPool",
  24902. "pid": 15,
  24903. "tid": 0,
  24904. "ts": 1539815916964512,
  24905. "dur": 31,
  24906. "args": {
  24907. "name": "max_pooling2d_2/MaxPool",
  24908. "op": "MaxPool"
  24909. }
  24910. },
  24911. {
  24912. "ph": "X",
  24913. "cat": "Op",
  24914. "name": "Mul",
  24915. "pid": 15,
  24916. "tid": 0,
  24917. "ts": 1539815916964641,
  24918. "dur": 3,
  24919. "args": {
  24920. "name": "tower_2/batch_normalization_2/AssignMovingAvg/mul",
  24921. "op": "Mul"
  24922. }
  24923. },
  24924. {
  24925. "ph": "X",
  24926. "cat": "Op",
  24927. "name": "Mul",
  24928. "pid": 15,
  24929. "tid": 1,
  24930. "ts": 1539815916964547,
  24931. "dur": 6,
  24932. "args": {
  24933. "name": "dropout_2/dropout/div",
  24934. "op": "Mul"
  24935. }
  24936. },
  24937. {
  24938. "ph": "X",
  24939. "cat": "Op",
  24940. "name": "Mul",
  24941. "pid": 15,
  24942. "tid": 0,
  24943. "ts": 1539815916964648,
  24944. "dur": 4,
  24945. "args": {
  24946. "name": "tower_2/batch_normalization_2/AssignMovingAvg_1/mul",
  24947. "op": "Mul"
  24948. }
  24949. },
  24950. {
  24951. "ph": "X",
  24952. "cat": "Op",
  24953. "name": "BiasAdd",
  24954. "pid": 15,
  24955. "tid": 0,
  24956. "ts": 1539815916964656,
  24957. "dur": 43,
  24958. "args": {
  24959. "name": "tower_2/conv2d_2/BiasAdd",
  24960. "op": "BiasAdd"
  24961. }
  24962. },
  24963. {
  24964. "ph": "X",
  24965. "cat": "Op",
  24966. "name": "RandomUniform",
  24967. "pid": 15,
  24968. "tid": 1,
  24969. "ts": 1539815916964557,
  24970. "dur": 11,
  24971. "args": {
  24972. "name": "dropout_2/dropout/random_uniform/RandomUniform",
  24973. "op": "RandomUniform"
  24974. }
  24975. },
  24976. {
  24977. "ph": "X",
  24978. "cat": "Op",
  24979. "name": "Add",
  24980. "pid": 15,
  24981. "tid": 1,
  24982. "ts": 1539815916964571,
  24983. "dur": 6,
  24984. "args": {
  24985. "name": "dropout_2/dropout/add",
  24986. "op": "Add"
  24987. }
  24988. },
  24989. {
  24990. "ph": "X",
  24991. "cat": "Op",
  24992. "name": "AssignSubVariableOp",
  24993. "pid": 15,
  24994. "tid": 0,
  24995. "ts": 1539815916964707,
  24996. "dur": 3,
  24997. "args": {
  24998. "name": "tower_2/batch_normalization_2/AssignMovingAvg/AssignSubVariableOp",
  24999. "op": "AssignSubVariableOp"
  25000. }
  25001. },
  25002. {
  25003. "ph": "X",
  25004. "cat": "Op",
  25005. "name": "Floor",
  25006. "pid": 15,
  25007. "tid": 1,
  25008. "ts": 1539815916964581,
  25009. "dur": 6,
  25010. "args": {
  25011. "name": "dropout_2/dropout/Floor",
  25012. "op": "Floor"
  25013. }
  25014. },
  25015. {
  25016. "ph": "X",
  25017. "cat": "Op",
  25018. "name": "AssignSubVariableOp",
  25019. "pid": 15,
  25020. "tid": 0,
  25021. "ts": 1539815916964719,
  25022. "dur": 3,
  25023. "args": {
  25024. "name": "tower_2/batch_normalization_2/AssignMovingAvg_1/AssignSubVariableOp",
  25025. "op": "AssignSubVariableOp"
  25026. }
  25027. },
  25028. {
  25029. "ph": "X",
  25030. "cat": "Op",
  25031. "name": "Elu",
  25032. "pid": 15,
  25033. "tid": 0,
  25034. "ts": 1539815916964726,
  25035. "dur": 37,
  25036. "args": {
  25037. "name": "tower_2/conv2d_2/Elu",
  25038. "op": "Elu"
  25039. }
  25040. },
  25041. {
  25042. "ph": "X",
  25043. "cat": "Op",
  25044. "name": "MaxPool",
  25045. "pid": 15,
  25046. "tid": 0,
  25047. "ts": 1539815916964767,
  25048. "dur": 31,
  25049. "args": {
  25050. "name": "tower_2/max_pooling2d_2/MaxPool",
  25051. "op": "MaxPool"
  25052. }
  25053. },
  25054. {
  25055. "ph": "X",
  25056. "cat": "Op",
  25057. "name": "Mul",
  25058. "pid": 15,
  25059. "tid": 0,
  25060. "ts": 1539815916964802,
  25061. "dur": 5,
  25062. "args": {
  25063. "name": "tower_2/dropout_2/dropout/div",
  25064. "op": "Mul"
  25065. }
  25066. },
  25067. {
  25068. "ph": "X",
  25069. "cat": "Op",
  25070. "name": "RandomUniform",
  25071. "pid": 15,
  25072. "tid": 0,
  25073. "ts": 1539815916964811,
  25074. "dur": 11,
  25075. "args": {
  25076. "name": "tower_2/dropout_2/dropout/random_uniform/RandomUniform",
  25077. "op": "RandomUniform"
  25078. }
  25079. },
  25080. {
  25081. "ph": "X",
  25082. "cat": "Op",
  25083. "name": "Add",
  25084. "pid": 15,
  25085. "tid": 0,
  25086. "ts": 1539815916964826,
  25087. "dur": 6,
  25088. "args": {
  25089. "name": "tower_2/dropout_2/dropout/add",
  25090. "op": "Add"
  25091. }
  25092. },
  25093. {
  25094. "ph": "X",
  25095. "cat": "Op",
  25096. "name": "Floor",
  25097. "pid": 15,
  25098. "tid": 0,
  25099. "ts": 1539815916964835,
  25100. "dur": 5,
  25101. "args": {
  25102. "name": "tower_2/dropout_2/dropout/Floor",
  25103. "op": "Floor"
  25104. }
  25105. },
  25106. {
  25107. "ph": "X",
  25108. "cat": "Op",
  25109. "name": "Conv2D",
  25110. "pid": 15,
  25111. "tid": 4,
  25112. "ts": 1539815916964215,
  25113. "dur": 283,
  25114. "args": {
  25115. "name": "tower_3/conv2d_2/Conv2D",
  25116. "op": "Conv2D"
  25117. }
  25118. },
  25119. {
  25120. "ph": "X",
  25121. "cat": "Op",
  25122. "name": "Conv2D",
  25123. "pid": 15,
  25124. "tid": 2,
  25125. "ts": 1539815916964501,
  25126. "dur": 52,
  25127. "args": {
  25128. "name": "tower_3/conv2d_2/Conv2D",
  25129. "op": "Conv2D"
  25130. }
  25131. },
  25132. {
  25133. "ph": "X",
  25134. "cat": "Op",
  25135. "name": "Conv2D",
  25136. "pid": 15,
  25137. "tid": 2,
  25138. "ts": 1539815916964557,
  25139. "dur": 239,
  25140. "args": {
  25141. "name": "tower_3/conv2d_2/Conv2D",
  25142. "op": "Conv2D"
  25143. }
  25144. },
  25145. {
  25146. "ph": "X",
  25147. "cat": "Op",
  25148. "name": "Conv2D",
  25149. "pid": 15,
  25150. "tid": 1,
  25151. "ts": 1539815916964799,
  25152. "dur": 438,
  25153. "args": {
  25154. "name": "tower_3/conv2d_2/Conv2D",
  25155. "op": "Conv2D"
  25156. }
  25157. },
  25158. {
  25159. "ph": "X",
  25160. "cat": "Op",
  25161. "name": "Mul",
  25162. "pid": 15,
  25163. "tid": 0,
  25164. "ts": 1539815916965242,
  25165. "dur": 4,
  25166. "args": {
  25167. "name": "tower_3/batch_normalization_2/AssignMovingAvg/mul",
  25168. "op": "Mul"
  25169. }
  25170. },
  25171. {
  25172. "ph": "X",
  25173. "cat": "Op",
  25174. "name": "Mul",
  25175. "pid": 15,
  25176. "tid": 0,
  25177. "ts": 1539815916965249,
  25178. "dur": 3,
  25179. "args": {
  25180. "name": "tower_3/batch_normalization_2/AssignMovingAvg_1/mul",
  25181. "op": "Mul"
  25182. }
  25183. },
  25184. {
  25185. "ph": "X",
  25186. "cat": "Op",
  25187. "name": "BiasAdd",
  25188. "pid": 15,
  25189. "tid": 0,
  25190. "ts": 1539815916965256,
  25191. "dur": 43,
  25192. "args": {
  25193. "name": "tower_3/conv2d_2/BiasAdd",
  25194. "op": "BiasAdd"
  25195. }
  25196. },
  25197. {
  25198. "ph": "X",
  25199. "cat": "Op",
  25200. "name": "Conv2D",
  25201. "pid": 15,
  25202. "tid": 5,
  25203. "ts": 1539815916964389,
  25204. "dur": 283,
  25205. "args": {
  25206. "name": "tower_1/conv2d_2/Conv2D",
  25207. "op": "Conv2D"
  25208. }
  25209. },
  25210. {
  25211. "ph": "X",
  25212. "cat": "Op",
  25213. "name": "Conv2D",
  25214. "pid": 15,
  25215. "tid": 3,
  25216. "ts": 1539815916964677,
  25217. "dur": 51,
  25218. "args": {
  25219. "name": "tower_1/conv2d_2/Conv2D",
  25220. "op": "Conv2D"
  25221. }
  25222. },
  25223. {
  25224. "ph": "X",
  25225. "cat": "Op",
  25226. "name": "Conv2D",
  25227. "pid": 15,
  25228. "tid": 3,
  25229. "ts": 1539815916964731,
  25230. "dur": 239,
  25231. "args": {
  25232. "name": "tower_1/conv2d_2/Conv2D",
  25233. "op": "Conv2D"
  25234. }
  25235. },
  25236. {
  25237. "ph": "X",
  25238. "cat": "Op",
  25239. "name": "AssignSubVariableOp",
  25240. "pid": 15,
  25241. "tid": 0,
  25242. "ts": 1539815916965308,
  25243. "dur": 4,
  25244. "args": {
  25245. "name": "tower_3/batch_normalization_2/AssignMovingAvg/AssignSubVariableOp",
  25246. "op": "AssignSubVariableOp"
  25247. }
  25248. },
  25249. {
  25250. "ph": "X",
  25251. "cat": "Op",
  25252. "name": "Conv2D",
  25253. "pid": 15,
  25254. "tid": 2,
  25255. "ts": 1539815916964974,
  25256. "dur": 438,
  25257. "args": {
  25258. "name": "tower_1/conv2d_2/Conv2D",
  25259. "op": "Conv2D"
  25260. }
  25261. },
  25262. {
  25263. "ph": "X",
  25264. "cat": "Op",
  25265. "name": "AssignSubVariableOp",
  25266. "pid": 15,
  25267. "tid": 0,
  25268. "ts": 1539815916965320,
  25269. "dur": 3,
  25270. "args": {
  25271. "name": "tower_3/batch_normalization_2/AssignMovingAvg_1/AssignSubVariableOp",
  25272. "op": "AssignSubVariableOp"
  25273. }
  25274. },
  25275. {
  25276. "ph": "X",
  25277. "cat": "Op",
  25278. "name": "Mul",
  25279. "pid": 15,
  25280. "tid": 0,
  25281. "ts": 1539815916965415,
  25282. "dur": 4,
  25283. "args": {
  25284. "name": "tower_1/batch_normalization_2/AssignMovingAvg/mul",
  25285. "op": "Mul"
  25286. }
  25287. },
  25288. {
  25289. "ph": "X",
  25290. "cat": "Op",
  25291. "name": "Elu",
  25292. "pid": 15,
  25293. "tid": 1,
  25294. "ts": 1539815916965327,
  25295. "dur": 37,
  25296. "args": {
  25297. "name": "tower_3/conv2d_2/Elu",
  25298. "op": "Elu"
  25299. }
  25300. },
  25301. {
  25302. "ph": "X",
  25303. "cat": "Op",
  25304. "name": "Mul",
  25305. "pid": 15,
  25306. "tid": 0,
  25307. "ts": 1539815916965422,
  25308. "dur": 3,
  25309. "args": {
  25310. "name": "tower_1/batch_normalization_2/AssignMovingAvg_1/mul",
  25311. "op": "Mul"
  25312. }
  25313. },
  25314. {
  25315. "ph": "X",
  25316. "cat": "Op",
  25317. "name": "MaxPool",
  25318. "pid": 15,
  25319. "tid": 1,
  25320. "ts": 1539815916965369,
  25321. "dur": 31,
  25322. "args": {
  25323. "name": "tower_3/max_pooling2d_2/MaxPool",
  25324. "op": "MaxPool"
  25325. }
  25326. },
  25327. {
  25328. "ph": "X",
  25329. "cat": "Op",
  25330. "name": "BiasAdd",
  25331. "pid": 15,
  25332. "tid": 0,
  25333. "ts": 1539815916965428,
  25334. "dur": 45,
  25335. "args": {
  25336. "name": "tower_1/conv2d_2/BiasAdd",
  25337. "op": "BiasAdd"
  25338. }
  25339. },
  25340. {
  25341. "ph": "X",
  25342. "cat": "Op",
  25343. "name": "Mul",
  25344. "pid": 15,
  25345. "tid": 1,
  25346. "ts": 1539815916965404,
  25347. "dur": 5,
  25348. "args": {
  25349. "name": "tower_3/dropout_2/dropout/div",
  25350. "op": "Mul"
  25351. }
  25352. },
  25353. {
  25354. "ph": "X",
  25355. "cat": "Op",
  25356. "name": "AssignSubVariableOp",
  25357. "pid": 15,
  25358. "tid": 0,
  25359. "ts": 1539815916965482,
  25360. "dur": 4,
  25361. "args": {
  25362. "name": "tower_1/batch_normalization_2/AssignMovingAvg/AssignSubVariableOp",
  25363. "op": "AssignSubVariableOp"
  25364. }
  25365. },
  25366. {
  25367. "ph": "X",
  25368. "cat": "Op",
  25369. "name": "RandomUniform",
  25370. "pid": 15,
  25371. "tid": 1,
  25372. "ts": 1539815916965413,
  25373. "dur": 10,
  25374. "args": {
  25375. "name": "tower_3/dropout_2/dropout/random_uniform/RandomUniform",
  25376. "op": "RandomUniform"
  25377. }
  25378. },
  25379. {
  25380. "ph": "X",
  25381. "cat": "Op",
  25382. "name": "AssignSubVariableOp",
  25383. "pid": 15,
  25384. "tid": 0,
  25385. "ts": 1539815916965494,
  25386. "dur": 3,
  25387. "args": {
  25388. "name": "tower_1/batch_normalization_2/AssignMovingAvg_1/AssignSubVariableOp",
  25389. "op": "AssignSubVariableOp"
  25390. }
  25391. },
  25392. {
  25393. "ph": "X",
  25394. "cat": "Op",
  25395. "name": "Add",
  25396. "pid": 15,
  25397. "tid": 1,
  25398. "ts": 1539815916965426,
  25399. "dur": 6,
  25400. "args": {
  25401. "name": "tower_3/dropout_2/dropout/add",
  25402. "op": "Add"
  25403. }
  25404. },
  25405. {
  25406. "ph": "X",
  25407. "cat": "Op",
  25408. "name": "Elu",
  25409. "pid": 15,
  25410. "tid": 0,
  25411. "ts": 1539815916965501,
  25412. "dur": 37,
  25413. "args": {
  25414. "name": "tower_1/conv2d_2/Elu",
  25415. "op": "Elu"
  25416. }
  25417. },
  25418. {
  25419. "ph": "X",
  25420. "cat": "Op",
  25421. "name": "Floor",
  25422. "pid": 15,
  25423. "tid": 1,
  25424. "ts": 1539815916965436,
  25425. "dur": 6,
  25426. "args": {
  25427. "name": "tower_3/dropout_2/dropout/Floor",
  25428. "op": "Floor"
  25429. }
  25430. },
  25431. {
  25432. "ph": "X",
  25433. "cat": "Op",
  25434. "name": "MaxPool",
  25435. "pid": 15,
  25436. "tid": 0,
  25437. "ts": 1539815916965542,
  25438. "dur": 32,
  25439. "args": {
  25440. "name": "tower_1/max_pooling2d_2/MaxPool",
  25441. "op": "MaxPool"
  25442. }
  25443. },
  25444. {
  25445. "ph": "X",
  25446. "cat": "Op",
  25447. "name": "Mul",
  25448. "pid": 15,
  25449. "tid": 0,
  25450. "ts": 1539815916965578,
  25451. "dur": 5,
  25452. "args": {
  25453. "name": "tower_1/dropout_2/dropout/div",
  25454. "op": "Mul"
  25455. }
  25456. },
  25457. {
  25458. "ph": "X",
  25459. "cat": "Op",
  25460. "name": "RandomUniform",
  25461. "pid": 15,
  25462. "tid": 0,
  25463. "ts": 1539815916965587,
  25464. "dur": 10,
  25465. "args": {
  25466. "name": "tower_1/dropout_2/dropout/random_uniform/RandomUniform",
  25467. "op": "RandomUniform"
  25468. }
  25469. },
  25470. {
  25471. "ph": "X",
  25472. "cat": "Op",
  25473. "name": "Add",
  25474. "pid": 15,
  25475. "tid": 0,
  25476. "ts": 1539815916965601,
  25477. "dur": 5,
  25478. "args": {
  25479. "name": "tower_1/dropout_2/dropout/add",
  25480. "op": "Add"
  25481. }
  25482. },
  25483. {
  25484. "ph": "X",
  25485. "cat": "Op",
  25486. "name": "Floor",
  25487. "pid": 15,
  25488. "tid": 0,
  25489. "ts": 1539815916965611,
  25490. "dur": 5,
  25491. "args": {
  25492. "name": "tower_1/dropout_2/dropout/Floor",
  25493. "op": "Floor"
  25494. }
  25495. },
  25496. {
  25497. "ph": "X",
  25498. "cat": "Op",
  25499. "name": "Transpose",
  25500. "pid": 15,
  25501. "tid": 3,
  25502. "ts": 1539815916965081,
  25503. "dur": 12,
  25504. "args": {
  25505. "name": "tower_2/dropout_2/dropout/mul-1-TransposeNHWCToNCHW-LayoutOptimizer",
  25506. "op": "Transpose"
  25507. }
  25508. },
  25509. {
  25510. "ph": "X",
  25511. "cat": "Op",
  25512. "name": "Transpose",
  25513. "pid": 15,
  25514. "tid": 1,
  25515. "ts": 1539815916965445,
  25516. "dur": 12,
  25517. "args": {
  25518. "name": "tower_3/dropout_2/dropout/mul-1-TransposeNHWCToNCHW-LayoutOptimizer",
  25519. "op": "Transpose"
  25520. }
  25521. },
  25522. {
  25523. "ph": "X",
  25524. "cat": "Op",
  25525. "name": "Transpose",
  25526. "pid": 15,
  25527. "tid": 0,
  25528. "ts": 1539815916965620,
  25529. "dur": 11,
  25530. "args": {
  25531. "name": "tower_1/dropout_2/dropout/mul-1-TransposeNHWCToNCHW-LayoutOptimizer",
  25532. "op": "Transpose"
  25533. }
  25534. },
  25535. {
  25536. "ph": "X",
  25537. "cat": "Op",
  25538. "name": "Transpose",
  25539. "pid": 15,
  25540. "tid": 4,
  25541. "ts": 1539815916965087,
  25542. "dur": 12,
  25543. "args": {
  25544. "name": "dropout_2/dropout/mul-1-TransposeNHWCToNCHW-LayoutOptimizer",
  25545. "op": "Transpose"
  25546. }
  25547. },
  25548. {
  25549. "ph": "X",
  25550. "cat": "Op",
  25551. "name": "Mul",
  25552. "pid": 15,
  25553. "tid": 3,
  25554. "ts": 1539815916965117,
  25555. "dur": 9,
  25556. "args": {
  25557. "name": "tower_2/dropout_2/dropout/mul",
  25558. "op": "Mul"
  25559. }
  25560. },
  25561. {
  25562. "ph": "X",
  25563. "cat": "Op",
  25564. "name": "Mul",
  25565. "pid": 15,
  25566. "tid": 1,
  25567. "ts": 1539815916965461,
  25568. "dur": 9,
  25569. "args": {
  25570. "name": "tower_3/dropout_2/dropout/mul",
  25571. "op": "Mul"
  25572. }
  25573. },
  25574. {
  25575. "ph": "X",
  25576. "cat": "Op",
  25577. "name": "Mul",
  25578. "pid": 15,
  25579. "tid": 0,
  25580. "ts": 1539815916965634,
  25581. "dur": 9,
  25582. "args": {
  25583. "name": "tower_1/dropout_2/dropout/mul",
  25584. "op": "Mul"
  25585. }
  25586. },
  25587. {
  25588. "ph": "X",
  25589. "cat": "Op",
  25590. "name": "Mul",
  25591. "pid": 15,
  25592. "tid": 4,
  25593. "ts": 1539815916965124,
  25594. "dur": 9,
  25595. "args": {
  25596. "name": "dropout_2/dropout/mul",
  25597. "op": "Mul"
  25598. }
  25599. },
  25600. {
  25601. "ph": "X",
  25602. "cat": "Op",
  25603. "name": "Transpose",
  25604. "pid": 15,
  25605. "tid": 3,
  25606. "ts": 1539815916965171,
  25607. "dur": 9,
  25608. "args": {
  25609. "name": "dropout_2/dropout/mul-1-0-TransposeNCHWToNHWC-LayoutOptimizer",
  25610. "op": "Transpose"
  25611. }
  25612. },
  25613. {
  25614. "ph": "X",
  25615. "cat": "Op",
  25616. "name": "Transpose",
  25617. "pid": 15,
  25618. "tid": 4,
  25619. "ts": 1539815916965174,
  25620. "dur": 10,
  25621. "args": {
  25622. "name": "tower_2/dropout_2/dropout/mul-1-0-TransposeNCHWToNHWC-LayoutOptimizer",
  25623. "op": "Transpose"
  25624. }
  25625. },
  25626. {
  25627. "ph": "X",
  25628. "cat": "Op",
  25629. "name": "Transpose",
  25630. "pid": 15,
  25631. "tid": 0,
  25632. "ts": 1539815916965648,
  25633. "dur": 10,
  25634. "args": {
  25635. "name": "tower_1/dropout_2/dropout/mul-0-0-TransposeNCHWToNHWC-LayoutOptimizer",
  25636. "op": "Transpose"
  25637. }
  25638. },
  25639. {
  25640. "ph": "X",
  25641. "cat": "Op",
  25642. "name": "Transpose",
  25643. "pid": 15,
  25644. "tid": 1,
  25645. "ts": 1539815916965473,
  25646. "dur": 10,
  25647. "args": {
  25648. "name": "tower_3/dropout_2/dropout/mul-0-0-TransposeNCHWToNHWC-LayoutOptimizer",
  25649. "op": "Transpose"
  25650. }
  25651. },
  25652. {
  25653. "ph": "X",
  25654. "cat": "Op",
  25655. "name": "MatMul",
  25656. "pid": 15,
  25657. "tid": 0,
  25658. "ts": 1539815916967972,
  25659. "dur": 82,
  25660. "args": {
  25661. "name": "tower_2/dense/MatMul",
  25662. "op": "MatMul"
  25663. }
  25664. },
  25665. {
  25666. "ph": "X",
  25667. "cat": "Op",
  25668. "name": "MatMul",
  25669. "pid": 15,
  25670. "tid": 1,
  25671. "ts": 1539815916967983,
  25672. "dur": 81,
  25673. "args": {
  25674. "name": "tower_3/dense/MatMul",
  25675. "op": "MatMul"
  25676. }
  25677. },
  25678. {
  25679. "ph": "X",
  25680. "cat": "Op",
  25681. "name": "MatMul",
  25682. "pid": 15,
  25683. "tid": 2,
  25684. "ts": 1539815916967982,
  25685. "dur": 82,
  25686. "args": {
  25687. "name": "dense/MatMul",
  25688. "op": "MatMul"
  25689. }
  25690. },
  25691. {
  25692. "ph": "X",
  25693. "cat": "Op",
  25694. "name": "MatMul",
  25695. "pid": 15,
  25696. "tid": 3,
  25697. "ts": 1539815916967991,
  25698. "dur": 81,
  25699. "args": {
  25700. "name": "tower_1/dense/MatMul",
  25701. "op": "MatMul"
  25702. }
  25703. },
  25704. {
  25705. "ph": "X",
  25706. "cat": "Op",
  25707. "name": "BiasAdd",
  25708. "pid": 15,
  25709. "tid": 0,
  25710. "ts": 1539815916968058,
  25711. "dur": 5,
  25712. "args": {
  25713. "name": "tower_2/dense/BiasAdd",
  25714. "op": "BiasAdd"
  25715. }
  25716. },
  25717. {
  25718. "ph": "X",
  25719. "cat": "Op",
  25720. "name": "BiasAdd",
  25721. "pid": 15,
  25722. "tid": 0,
  25723. "ts": 1539815916968069,
  25724. "dur": 4,
  25725. "args": {
  25726. "name": "tower_3/dense/BiasAdd",
  25727. "op": "BiasAdd"
  25728. }
  25729. },
  25730. {
  25731. "ph": "X",
  25732. "cat": "Op",
  25733. "name": "BiasAdd",
  25734. "pid": 15,
  25735. "tid": 1,
  25736. "ts": 1539815916968068,
  25737. "dur": 4,
  25738. "args": {
  25739. "name": "dense/BiasAdd",
  25740. "op": "BiasAdd"
  25741. }
  25742. },
  25743. {
  25744. "ph": "X",
  25745. "cat": "Op",
  25746. "name": "BiasAdd",
  25747. "pid": 15,
  25748. "tid": 0,
  25749. "ts": 1539815916968077,
  25750. "dur": 4,
  25751. "args": {
  25752. "name": "tower_1/dense/BiasAdd",
  25753. "op": "BiasAdd"
  25754. }
  25755. },
  25756. {
  25757. "ph": "X",
  25758. "cat": "Op",
  25759. "name": "Elu",
  25760. "pid": 15,
  25761. "tid": 2,
  25762. "ts": 1539815916968068,
  25763. "dur": 4,
  25764. "args": {
  25765. "name": "tower_2/activation/Elu",
  25766. "op": "Elu"
  25767. }
  25768. },
  25769. {
  25770. "ph": "X",
  25771. "cat": "Op",
  25772. "name": "Elu",
  25773. "pid": 15,
  25774. "tid": 1,
  25775. "ts": 1539815916968077,
  25776. "dur": 4,
  25777. "args": {
  25778. "name": "tower_3/activation/Elu",
  25779. "op": "Elu"
  25780. }
  25781. },
  25782. {
  25783. "ph": "X",
  25784. "cat": "Op",
  25785. "name": "Elu",
  25786. "pid": 15,
  25787. "tid": 2,
  25788. "ts": 1539815916968076,
  25789. "dur": 5,
  25790. "args": {
  25791. "name": "activation/Elu",
  25792. "op": "Elu"
  25793. }
  25794. },
  25795. {
  25796. "ph": "X",
  25797. "cat": "Op",
  25798. "name": "Elu",
  25799. "pid": 15,
  25800. "tid": 0,
  25801. "ts": 1539815916968086,
  25802. "dur": 4,
  25803. "args": {
  25804. "name": "tower_1/activation/Elu",
  25805. "op": "Elu"
  25806. }
  25807. },
  25808. {
  25809. "ph": "X",
  25810. "cat": "Op",
  25811. "name": "Mul",
  25812. "pid": 15,
  25813. "tid": 1,
  25814. "ts": 1539815916968085,
  25815. "dur": 4,
  25816. "args": {
  25817. "name": "tower_3/dropout_3/dropout/div",
  25818. "op": "Mul"
  25819. }
  25820. },
  25821. {
  25822. "ph": "X",
  25823. "cat": "Op",
  25824. "name": "Mul",
  25825. "pid": 15,
  25826. "tid": 2,
  25827. "ts": 1539815916968084,
  25828. "dur": 4,
  25829. "args": {
  25830. "name": "tower_2/dropout_3/dropout/div",
  25831. "op": "Mul"
  25832. }
  25833. },
  25834. {
  25835. "ph": "X",
  25836. "cat": "Op",
  25837. "name": "Mul",
  25838. "pid": 15,
  25839. "tid": 0,
  25840. "ts": 1539815916968095,
  25841. "dur": 4,
  25842. "args": {
  25843. "name": "dropout_3/dropout/div",
  25844. "op": "Mul"
  25845. }
  25846. },
  25847. {
  25848. "ph": "X",
  25849. "cat": "Op",
  25850. "name": "Mul",
  25851. "pid": 15,
  25852. "tid": 0,
  25853. "ts": 1539815916968103,
  25854. "dur": 5,
  25855. "args": {
  25856. "name": "tower_1/dropout_3/dropout/div",
  25857. "op": "Mul"
  25858. }
  25859. },
  25860. {
  25861. "ph": "X",
  25862. "cat": "Op",
  25863. "name": "RandomUniform",
  25864. "pid": 15,
  25865. "tid": 0,
  25866. "ts": 1539815916968124,
  25867. "dur": 7,
  25868. "args": {
  25869. "name": "tower_3/dropout_3/dropout/random_uniform/RandomUniform",
  25870. "op": "RandomUniform"
  25871. }
  25872. },
  25873. {
  25874. "ph": "X",
  25875. "cat": "Op",
  25876. "name": "RandomUniform",
  25877. "pid": 15,
  25878. "tid": 0,
  25879. "ts": 1539815916968132,
  25880. "dur": 8,
  25881. "args": {
  25882. "name": "tower_2/dropout_3/dropout/random_uniform/RandomUniform",
  25883. "op": "RandomUniform"
  25884. }
  25885. },
  25886. {
  25887. "ph": "X",
  25888. "cat": "Op",
  25889. "name": "RandomUniform",
  25890. "pid": 15,
  25891. "tid": 1,
  25892. "ts": 1539815916968140,
  25893. "dur": 7,
  25894. "args": {
  25895. "name": "dropout_3/dropout/random_uniform/RandomUniform",
  25896. "op": "RandomUniform"
  25897. }
  25898. },
  25899. {
  25900. "ph": "X",
  25901. "cat": "Op",
  25902. "name": "RandomUniform",
  25903. "pid": 15,
  25904. "tid": 0,
  25905. "ts": 1539815916968152,
  25906. "dur": 8,
  25907. "args": {
  25908. "name": "tower_1/dropout_3/dropout/random_uniform/RandomUniform",
  25909. "op": "RandomUniform"
  25910. }
  25911. },
  25912. {
  25913. "ph": "X",
  25914. "cat": "Op",
  25915. "name": "Add",
  25916. "pid": 15,
  25917. "tid": 1,
  25918. "ts": 1539815916968160,
  25919. "dur": 5,
  25920. "args": {
  25921. "name": "tower_2/dropout_3/dropout/add",
  25922. "op": "Add"
  25923. }
  25924. },
  25925. {
  25926. "ph": "X",
  25927. "cat": "Op",
  25928. "name": "Add",
  25929. "pid": 15,
  25930. "tid": 0,
  25931. "ts": 1539815916968170,
  25932. "dur": 5,
  25933. "args": {
  25934. "name": "dropout_3/dropout/add",
  25935. "op": "Add"
  25936. }
  25937. },
  25938. {
  25939. "ph": "X",
  25940. "cat": "Op",
  25941. "name": "Add",
  25942. "pid": 15,
  25943. "tid": 1,
  25944. "ts": 1539815916968170,
  25945. "dur": 4,
  25946. "args": {
  25947. "name": "tower_3/dropout_3/dropout/add",
  25948. "op": "Add"
  25949. }
  25950. },
  25951. {
  25952. "ph": "X",
  25953. "cat": "Op",
  25954. "name": "Add",
  25955. "pid": 15,
  25956. "tid": 0,
  25957. "ts": 1539815916968182,
  25958. "dur": 4,
  25959. "args": {
  25960. "name": "tower_1/dropout_3/dropout/add",
  25961. "op": "Add"
  25962. }
  25963. },
  25964. {
  25965. "ph": "X",
  25966. "cat": "Op",
  25967. "name": "Floor",
  25968. "pid": 15,
  25969. "tid": 1,
  25970. "ts": 1539815916968184,
  25971. "dur": 3,
  25972. "args": {
  25973. "name": "tower_2/dropout_3/dropout/Floor",
  25974. "op": "Floor"
  25975. }
  25976. },
  25977. {
  25978. "ph": "X",
  25979. "cat": "Op",
  25980. "name": "Floor",
  25981. "pid": 15,
  25982. "tid": 0,
  25983. "ts": 1539815916968193,
  25984. "dur": 3,
  25985. "args": {
  25986. "name": "dropout_3/dropout/Floor",
  25987. "op": "Floor"
  25988. }
  25989. },
  25990. {
  25991. "ph": "X",
  25992. "cat": "Op",
  25993. "name": "Floor",
  25994. "pid": 15,
  25995. "tid": 1,
  25996. "ts": 1539815916968196,
  25997. "dur": 3,
  25998. "args": {
  25999. "name": "tower_3/dropout_3/dropout/Floor",
  26000. "op": "Floor"
  26001. }
  26002. },
  26003. {
  26004. "ph": "X",
  26005. "cat": "Op",
  26006. "name": "Floor",
  26007. "pid": 15,
  26008. "tid": 0,
  26009. "ts": 1539815916968205,
  26010. "dur": 4,
  26011. "args": {
  26012. "name": "tower_1/dropout_3/dropout/Floor",
  26013. "op": "Floor"
  26014. }
  26015. },
  26016. {
  26017. "ph": "X",
  26018. "cat": "Op",
  26019. "name": "Mul",
  26020. "pid": 15,
  26021. "tid": 1,
  26022. "ts": 1539815916968207,
  26023. "dur": 5,
  26024. "args": {
  26025. "name": "tower_2/dropout_3/dropout/mul",
  26026. "op": "Mul"
  26027. }
  26028. },
  26029. {
  26030. "ph": "X",
  26031. "cat": "Op",
  26032. "name": "Mul",
  26033. "pid": 15,
  26034. "tid": 0,
  26035. "ts": 1539815916968215,
  26036. "dur": 5,
  26037. "args": {
  26038. "name": "dropout_3/dropout/mul",
  26039. "op": "Mul"
  26040. }
  26041. },
  26042. {
  26043. "ph": "X",
  26044. "cat": "Op",
  26045. "name": "Mul",
  26046. "pid": 15,
  26047. "tid": 1,
  26048. "ts": 1539815916968219,
  26049. "dur": 4,
  26050. "args": {
  26051. "name": "tower_3/dropout_3/dropout/mul",
  26052. "op": "Mul"
  26053. }
  26054. },
  26055. {
  26056. "ph": "X",
  26057. "cat": "Op",
  26058. "name": "Mul",
  26059. "pid": 15,
  26060. "tid": 0,
  26061. "ts": 1539815916968229,
  26062. "dur": 5,
  26063. "args": {
  26064. "name": "tower_1/dropout_3/dropout/mul",
  26065. "op": "Mul"
  26066. }
  26067. },
  26068. {
  26069. "ph": "X",
  26070. "cat": "Op",
  26071. "name": "MatMul",
  26072. "pid": 15,
  26073. "tid": 0,
  26074. "ts": 1539815916968242,
  26075. "dur": 39,
  26076. "args": {
  26077. "name": "tower_2/dense_1/MatMul",
  26078. "op": "MatMul"
  26079. }
  26080. },
  26081. {
  26082. "ph": "X",
  26083. "cat": "Op",
  26084. "name": "MatMul",
  26085. "pid": 15,
  26086. "tid": 1,
  26087. "ts": 1539815916968249,
  26088. "dur": 38,
  26089. "args": {
  26090. "name": "dense_1/MatMul",
  26091. "op": "MatMul"
  26092. }
  26093. },
  26094. {
  26095. "ph": "X",
  26096. "cat": "Op",
  26097. "name": "MatMul",
  26098. "pid": 15,
  26099. "tid": 2,
  26100. "ts": 1539815916968253,
  26101. "dur": 40,
  26102. "args": {
  26103. "name": "tower_3/dense_1/MatMul",
  26104. "op": "MatMul"
  26105. }
  26106. },
  26107. {
  26108. "ph": "X",
  26109. "cat": "Op",
  26110. "name": "MatMul",
  26111. "pid": 15,
  26112. "tid": 3,
  26113. "ts": 1539815916968264,
  26114. "dur": 39,
  26115. "args": {
  26116. "name": "tower_1/dense_1/MatMul",
  26117. "op": "MatMul"
  26118. }
  26119. },
  26120. {
  26121. "ph": "X",
  26122. "cat": "Op",
  26123. "name": "BiasAdd",
  26124. "pid": 15,
  26125. "tid": 0,
  26126. "ts": 1539815916968286,
  26127. "dur": 3,
  26128. "args": {
  26129. "name": "tower_2/dense_1/BiasAdd",
  26130. "op": "BiasAdd"
  26131. }
  26132. },
  26133. {
  26134. "ph": "X",
  26135. "cat": "Op",
  26136. "name": "BiasAdd",
  26137. "pid": 15,
  26138. "tid": 0,
  26139. "ts": 1539815916968292,
  26140. "dur": 3,
  26141. "args": {
  26142. "name": "dense_1/BiasAdd",
  26143. "op": "BiasAdd"
  26144. }
  26145. },
  26146. {
  26147. "ph": "X",
  26148. "cat": "Op",
  26149. "name": "BiasAdd",
  26150. "pid": 15,
  26151. "tid": 0,
  26152. "ts": 1539815916968297,
  26153. "dur": 4,
  26154. "args": {
  26155. "name": "tower_3/dense_1/BiasAdd",
  26156. "op": "BiasAdd"
  26157. }
  26158. },
  26159. {
  26160. "ph": "X",
  26161. "cat": "Op",
  26162. "name": "BiasAdd",
  26163. "pid": 15,
  26164. "tid": 0,
  26165. "ts": 1539815916968307,
  26166. "dur": 4,
  26167. "args": {
  26168. "name": "tower_1/dense_1/BiasAdd",
  26169. "op": "BiasAdd"
  26170. }
  26171. },
  26172. {
  26173. "ph": "X",
  26174. "cat": "Op",
  26175. "name": "Softmax",
  26176. "pid": 15,
  26177. "tid": 0,
  26178. "ts": 1539815916971367,
  26179. "dur": 4,
  26180. "args": {
  26181. "name": "tower_3/activation_1/Softmax",
  26182. "op": "Softmax"
  26183. }
  26184. },
  26185. {
  26186. "ph": "X",
  26187. "cat": "Op",
  26188. "name": "Softmax",
  26189. "pid": 15,
  26190. "tid": 0,
  26191. "ts": 1539815916971373,
  26192. "dur": 5,
  26193. "args": {
  26194. "name": "activation_1/Softmax",
  26195. "op": "Softmax"
  26196. }
  26197. },
  26198. {
  26199. "ph": "X",
  26200. "cat": "Op",
  26201. "name": "Softmax",
  26202. "pid": 15,
  26203. "tid": 1,
  26204. "ts": 1539815916971374,
  26205. "dur": 4,
  26206. "args": {
  26207. "name": "tower_1/activation_1/Softmax",
  26208. "op": "Softmax"
  26209. }
  26210. },
  26211. {
  26212. "ph": "X",
  26213. "cat": "Op",
  26214. "name": "Softmax",
  26215. "pid": 15,
  26216. "tid": 0,
  26217. "ts": 1539815916971380,
  26218. "dur": 5,
  26219. "args": {
  26220. "name": "tower_3/activation_1/Softmax",
  26221. "op": "Softmax"
  26222. }
  26223. },
  26224. {
  26225. "ph": "X",
  26226. "cat": "Op",
  26227. "name": "Softmax",
  26228. "pid": 15,
  26229. "tid": 1,
  26230. "ts": 1539815916971382,
  26231. "dur": 5,
  26232. "args": {
  26233. "name": "tower_2/activation_1/Softmax",
  26234. "op": "Softmax"
  26235. }
  26236. },
  26237. {
  26238. "ph": "X",
  26239. "cat": "Op",
  26240. "name": "Softmax",
  26241. "pid": 15,
  26242. "tid": 0,
  26243. "ts": 1539815916971386,
  26244. "dur": 5,
  26245. "args": {
  26246. "name": "activation_1/Softmax",
  26247. "op": "Softmax"
  26248. }
  26249. },
  26250. {
  26251. "ph": "X",
  26252. "cat": "Op",
  26253. "name": "Softmax",
  26254. "pid": 15,
  26255. "tid": 1,
  26256. "ts": 1539815916971388,
  26257. "dur": 5,
  26258. "args": {
  26259. "name": "tower_1/activation_1/Softmax",
  26260. "op": "Softmax"
  26261. }
  26262. },
  26263. {
  26264. "ph": "X",
  26265. "cat": "Op",
  26266. "name": "Softmax",
  26267. "pid": 15,
  26268. "tid": 0,
  26269. "ts": 1539815916971394,
  26270. "dur": 4,
  26271. "args": {
  26272. "name": "tower_3/activation_1/Softmax",
  26273. "op": "Softmax"
  26274. }
  26275. },
  26276. {
  26277. "ph": "X",
  26278. "cat": "Op",
  26279. "name": "Softmax",
  26280. "pid": 15,
  26281. "tid": 1,
  26282. "ts": 1539815916971397,
  26283. "dur": 5,
  26284. "args": {
  26285. "name": "tower_2/activation_1/Softmax",
  26286. "op": "Softmax"
  26287. }
  26288. },
  26289. {
  26290. "ph": "X",
  26291. "cat": "Op",
  26292. "name": "Softmax",
  26293. "pid": 15,
  26294. "tid": 2,
  26295. "ts": 1539815916971397,
  26296. "dur": 4,
  26297. "args": {
  26298. "name": "activation_1/Softmax",
  26299. "op": "Softmax"
  26300. }
  26301. },
  26302. {
  26303. "ph": "X",
  26304. "cat": "Op",
  26305. "name": "Softmax",
  26306. "pid": 15,
  26307. "tid": 0,
  26308. "ts": 1539815916971400,
  26309. "dur": 5,
  26310. "args": {
  26311. "name": "tower_1/activation_1/Softmax",
  26312. "op": "Softmax"
  26313. }
  26314. },
  26315. {
  26316. "ph": "X",
  26317. "cat": "Op",
  26318. "name": "Softmax",
  26319. "pid": 15,
  26320. "tid": 0,
  26321. "ts": 1539815916971409,
  26322. "dur": 4,
  26323. "args": {
  26324. "name": "tower_2/activation_1/Softmax",
  26325. "op": "Softmax"
  26326. }
  26327. },
  26328. {
  26329. "ph": "X",
  26330. "cat": "Op",
  26331. "name": "Minimum",
  26332. "pid": 15,
  26333. "tid": 0,
  26334. "ts": 1539815916972591,
  26335. "dur": 4,
  26336. "args": {
  26337. "name": "tower_3/loss/activation_1_loss/clip_by_value/Minimum",
  26338. "op": "Minimum"
  26339. }
  26340. },
  26341. {
  26342. "ph": "X",
  26343. "cat": "Op",
  26344. "name": "LessEqual",
  26345. "pid": 15,
  26346. "tid": 0,
  26347. "ts": 1539815916974063,
  26348. "dur": 3,
  26349. "args": {
  26350. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value/Minimum_grad/LessEqual",
  26351. "op": "LessEqual"
  26352. }
  26353. },
  26354. {
  26355. "ph": "X",
  26356. "cat": "Op",
  26357. "name": "LessEqual",
  26358. "pid": 15,
  26359. "tid": 0,
  26360. "ts": 1539815916974100,
  26361. "dur": 3,
  26362. "args": {
  26363. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value/Minimum_grad/LessEqual",
  26364. "op": "LessEqual"
  26365. }
  26366. },
  26367. {
  26368. "ph": "X",
  26369. "cat": "Op",
  26370. "name": "Minimum",
  26371. "pid": 15,
  26372. "tid": 0,
  26373. "ts": 1539815916974130,
  26374. "dur": 4,
  26375. "args": {
  26376. "name": "tower_1/loss/activation_1_loss/clip_by_value/Minimum",
  26377. "op": "Minimum"
  26378. }
  26379. },
  26380. {
  26381. "ph": "X",
  26382. "cat": "Op",
  26383. "name": "LessEqual",
  26384. "pid": 15,
  26385. "tid": 0,
  26386. "ts": 1539815916974140,
  26387. "dur": 3,
  26388. "args": {
  26389. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value/Minimum_grad/LessEqual",
  26390. "op": "LessEqual"
  26391. }
  26392. },
  26393. {
  26394. "ph": "X",
  26395. "cat": "Op",
  26396. "name": "LessEqual",
  26397. "pid": 15,
  26398. "tid": 0,
  26399. "ts": 1539815916974164,
  26400. "dur": 4,
  26401. "args": {
  26402. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value/Minimum_grad/LessEqual",
  26403. "op": "LessEqual"
  26404. }
  26405. },
  26406. {
  26407. "ph": "X",
  26408. "cat": "Op",
  26409. "name": "Minimum",
  26410. "pid": 15,
  26411. "tid": 1,
  26412. "ts": 1539815916974167,
  26413. "dur": 4,
  26414. "args": {
  26415. "name": "loss/activation_1_loss/clip_by_value/Minimum",
  26416. "op": "Minimum"
  26417. }
  26418. },
  26419. {
  26420. "ph": "X",
  26421. "cat": "Op",
  26422. "name": "Minimum",
  26423. "pid": 15,
  26424. "tid": 0,
  26425. "ts": 1539815916974233,
  26426. "dur": 3,
  26427. "args": {
  26428. "name": "tower_2/loss/activation_1_loss/clip_by_value/Minimum",
  26429. "op": "Minimum"
  26430. }
  26431. },
  26432. {
  26433. "ph": "X",
  26434. "cat": "Op",
  26435. "name": "Maximum",
  26436. "pid": 15,
  26437. "tid": 1,
  26438. "ts": 1539815916974234,
  26439. "dur": 4,
  26440. "args": {
  26441. "name": "tower_3/loss/activation_1_loss/clip_by_value",
  26442. "op": "Maximum"
  26443. }
  26444. },
  26445. {
  26446. "ph": "X",
  26447. "cat": "Op",
  26448. "name": "GreaterEqual",
  26449. "pid": 15,
  26450. "tid": 0,
  26451. "ts": 1539815916975721,
  26452. "dur": 3,
  26453. "args": {
  26454. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value_grad/GreaterEqual",
  26455. "op": "GreaterEqual"
  26456. }
  26457. },
  26458. {
  26459. "ph": "X",
  26460. "cat": "Op",
  26461. "name": "GreaterEqual",
  26462. "pid": 15,
  26463. "tid": 0,
  26464. "ts": 1539815916975739,
  26465. "dur": 4,
  26466. "args": {
  26467. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value_grad/GreaterEqual",
  26468. "op": "GreaterEqual"
  26469. }
  26470. },
  26471. {
  26472. "ph": "X",
  26473. "cat": "Op",
  26474. "name": "GreaterEqual",
  26475. "pid": 15,
  26476. "tid": 0,
  26477. "ts": 1539815916975758,
  26478. "dur": 4,
  26479. "args": {
  26480. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value_grad/GreaterEqual",
  26481. "op": "GreaterEqual"
  26482. }
  26483. },
  26484. {
  26485. "ph": "X",
  26486. "cat": "Op",
  26487. "name": "GreaterEqual",
  26488. "pid": 15,
  26489. "tid": 0,
  26490. "ts": 1539815916975772,
  26491. "dur": 4,
  26492. "args": {
  26493. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value_grad/GreaterEqual",
  26494. "op": "GreaterEqual"
  26495. }
  26496. },
  26497. {
  26498. "ph": "X",
  26499. "cat": "Op",
  26500. "name": "Maximum",
  26501. "pid": 15,
  26502. "tid": 0,
  26503. "ts": 1539815916975797,
  26504. "dur": 4,
  26505. "args": {
  26506. "name": "tower_1/loss/activation_1_loss/clip_by_value",
  26507. "op": "Maximum"
  26508. }
  26509. },
  26510. {
  26511. "ph": "X",
  26512. "cat": "Op",
  26513. "name": "Maximum",
  26514. "pid": 15,
  26515. "tid": 0,
  26516. "ts": 1539815916975819,
  26517. "dur": 5,
  26518. "args": {
  26519. "name": "loss/activation_1_loss/clip_by_value",
  26520. "op": "Maximum"
  26521. }
  26522. },
  26523. {
  26524. "ph": "X",
  26525. "cat": "Op",
  26526. "name": "Maximum",
  26527. "pid": 15,
  26528. "tid": 0,
  26529. "ts": 1539815916975855,
  26530. "dur": 3,
  26531. "args": {
  26532. "name": "tower_2/loss/activation_1_loss/clip_by_value",
  26533. "op": "Maximum"
  26534. }
  26535. },
  26536. {
  26537. "ph": "X",
  26538. "cat": "Op",
  26539. "name": "Log",
  26540. "pid": 15,
  26541. "tid": 0,
  26542. "ts": 1539815916975860,
  26543. "dur": 4,
  26544. "args": {
  26545. "name": "tower_3/loss/activation_1_loss/Log",
  26546. "op": "Log"
  26547. }
  26548. },
  26549. {
  26550. "ph": "X",
  26551. "cat": "Op",
  26552. "name": "Log",
  26553. "pid": 15,
  26554. "tid": 0,
  26555. "ts": 1539815916975894,
  26556. "dur": 4,
  26557. "args": {
  26558. "name": "tower_1/loss/activation_1_loss/Log",
  26559. "op": "Log"
  26560. }
  26561. },
  26562. {
  26563. "ph": "X",
  26564. "cat": "Op",
  26565. "name": "Log",
  26566. "pid": 15,
  26567. "tid": 1,
  26568. "ts": 1539815916975897,
  26569. "dur": 5,
  26570. "args": {
  26571. "name": "loss/activation_1_loss/Log",
  26572. "op": "Log"
  26573. }
  26574. },
  26575. {
  26576. "ph": "X",
  26577. "cat": "Op",
  26578. "name": "Log",
  26579. "pid": 15,
  26580. "tid": 0,
  26581. "ts": 1539815916975914,
  26582. "dur": 5,
  26583. "args": {
  26584. "name": "tower_2/loss/activation_1_loss/Log",
  26585. "op": "Log"
  26586. }
  26587. },
  26588. {
  26589. "ph": "X",
  26590. "cat": "Op",
  26591. "name": "SparseSoftmaxCrossEntropyWithLogits",
  26592. "pid": 15,
  26593. "tid": 1,
  26594. "ts": 1539815916975916,
  26595. "dur": 6,
  26596. "args": {
  26597. "name": "tower_3/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  26598. "op": "SparseSoftmaxCrossEntropyWithLogits"
  26599. }
  26600. },
  26601. {
  26602. "ph": "X",
  26603. "cat": "Op",
  26604. "name": "SparseSoftmaxCrossEntropyWithLogits",
  26605. "pid": 15,
  26606. "tid": 0,
  26607. "ts": 1539815916975930,
  26608. "dur": 5,
  26609. "args": {
  26610. "name": "tower_3/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  26611. "op": "SparseSoftmaxCrossEntropyWithLogits"
  26612. }
  26613. },
  26614. {
  26615. "ph": "X",
  26616. "cat": "Op",
  26617. "name": "SparseSoftmaxCrossEntropyWithLogits",
  26618. "pid": 15,
  26619. "tid": 0,
  26620. "ts": 1539815916975944,
  26621. "dur": 7,
  26622. "args": {
  26623. "name": "tower_3/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  26624. "op": "SparseSoftmaxCrossEntropyWithLogits"
  26625. }
  26626. },
  26627. {
  26628. "ph": "X",
  26629. "cat": "Op",
  26630. "name": "SparseSoftmaxCrossEntropyWithLogits",
  26631. "pid": 15,
  26632. "tid": 1,
  26633. "ts": 1539815916975950,
  26634. "dur": 5,
  26635. "args": {
  26636. "name": "tower_1/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  26637. "op": "SparseSoftmaxCrossEntropyWithLogits"
  26638. }
  26639. },
  26640. {
  26641. "ph": "X",
  26642. "cat": "Op",
  26643. "name": "SparseSoftmaxCrossEntropyWithLogits",
  26644. "pid": 15,
  26645. "tid": 0,
  26646. "ts": 1539815916975957,
  26647. "dur": 11,
  26648. "args": {
  26649. "name": "tower_3/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  26650. "op": "SparseSoftmaxCrossEntropyWithLogits"
  26651. }
  26652. },
  26653. {
  26654. "ph": "X",
  26655. "cat": "Op",
  26656. "name": "SparseSoftmaxCrossEntropyWithLogits",
  26657. "pid": 15,
  26658. "tid": 1,
  26659. "ts": 1539815916975960,
  26660. "dur": 5,
  26661. "args": {
  26662. "name": "loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  26663. "op": "SparseSoftmaxCrossEntropyWithLogits"
  26664. }
  26665. },
  26666. {
  26667. "ph": "X",
  26668. "cat": "Op",
  26669. "name": "SparseSoftmaxCrossEntropyWithLogits",
  26670. "pid": 15,
  26671. "tid": 2,
  26672. "ts": 1539815916975962,
  26673. "dur": 5,
  26674. "args": {
  26675. "name": "tower_1/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  26676. "op": "SparseSoftmaxCrossEntropyWithLogits"
  26677. }
  26678. },
  26679. {
  26680. "ph": "X",
  26681. "cat": "Op",
  26682. "name": "SparseSoftmaxCrossEntropyWithLogits",
  26683. "pid": 15,
  26684. "tid": 0,
  26685. "ts": 1539815916975974,
  26686. "dur": 4,
  26687. "args": {
  26688. "name": "tower_3/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  26689. "op": "SparseSoftmaxCrossEntropyWithLogits"
  26690. }
  26691. },
  26692. {
  26693. "ph": "X",
  26694. "cat": "Op",
  26695. "name": "SparseSoftmaxCrossEntropyWithLogits",
  26696. "pid": 15,
  26697. "tid": 1,
  26698. "ts": 1539815916975975,
  26699. "dur": 5,
  26700. "args": {
  26701. "name": "loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  26702. "op": "SparseSoftmaxCrossEntropyWithLogits"
  26703. }
  26704. },
  26705. {
  26706. "ph": "X",
  26707. "cat": "Op",
  26708. "name": "SparseSoftmaxCrossEntropyWithLogits",
  26709. "pid": 15,
  26710. "tid": 0,
  26711. "ts": 1539815916975989,
  26712. "dur": 4,
  26713. "args": {
  26714. "name": "tower_3/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  26715. "op": "SparseSoftmaxCrossEntropyWithLogits"
  26716. }
  26717. },
  26718. {
  26719. "ph": "X",
  26720. "cat": "Op",
  26721. "name": "SparseSoftmaxCrossEntropyWithLogits",
  26722. "pid": 15,
  26723. "tid": 0,
  26724. "ts": 1539815916976000,
  26725. "dur": 5,
  26726. "args": {
  26727. "name": "tower_2/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  26728. "op": "SparseSoftmaxCrossEntropyWithLogits"
  26729. }
  26730. },
  26731. {
  26732. "ph": "X",
  26733. "cat": "Op",
  26734. "name": "SparseSoftmaxCrossEntropyWithLogits",
  26735. "pid": 15,
  26736. "tid": 1,
  26737. "ts": 1539815916976001,
  26738. "dur": 7,
  26739. "args": {
  26740. "name": "loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  26741. "op": "SparseSoftmaxCrossEntropyWithLogits"
  26742. }
  26743. },
  26744. {
  26745. "ph": "X",
  26746. "cat": "Op",
  26747. "name": "SparseSoftmaxCrossEntropyWithLogits",
  26748. "pid": 15,
  26749. "tid": 2,
  26750. "ts": 1539815916976005,
  26751. "dur": 6,
  26752. "args": {
  26753. "name": "tower_1/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  26754. "op": "SparseSoftmaxCrossEntropyWithLogits"
  26755. }
  26756. },
  26757. {
  26758. "ph": "X",
  26759. "cat": "Op",
  26760. "name": "SparseSoftmaxCrossEntropyWithLogits",
  26761. "pid": 15,
  26762. "tid": 0,
  26763. "ts": 1539815916976012,
  26764. "dur": 5,
  26765. "args": {
  26766. "name": "tower_2/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  26767. "op": "SparseSoftmaxCrossEntropyWithLogits"
  26768. }
  26769. },
  26770. {
  26771. "ph": "X",
  26772. "cat": "Op",
  26773. "name": "SparseSoftmaxCrossEntropyWithLogits",
  26774. "pid": 15,
  26775. "tid": 1,
  26776. "ts": 1539815916976014,
  26777. "dur": 11,
  26778. "args": {
  26779. "name": "loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  26780. "op": "SparseSoftmaxCrossEntropyWithLogits"
  26781. }
  26782. },
  26783. {
  26784. "ph": "X",
  26785. "cat": "Op",
  26786. "name": "SparseSoftmaxCrossEntropyWithLogits",
  26787. "pid": 15,
  26788. "tid": 0,
  26789. "ts": 1539815916976019,
  26790. "dur": 10,
  26791. "args": {
  26792. "name": "tower_1/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  26793. "op": "SparseSoftmaxCrossEntropyWithLogits"
  26794. }
  26795. },
  26796. {
  26797. "ph": "X",
  26798. "cat": "Op",
  26799. "name": "SparseSoftmaxCrossEntropyWithLogits",
  26800. "pid": 15,
  26801. "tid": 2,
  26802. "ts": 1539815916976023,
  26803. "dur": 6,
  26804. "args": {
  26805. "name": "tower_2/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  26806. "op": "SparseSoftmaxCrossEntropyWithLogits"
  26807. }
  26808. },
  26809. {
  26810. "ph": "X",
  26811. "cat": "Op",
  26812. "name": "SparseSoftmaxCrossEntropyWithLogits",
  26813. "pid": 15,
  26814. "tid": 1,
  26815. "ts": 1539815916976028,
  26816. "dur": 4,
  26817. "args": {
  26818. "name": "loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  26819. "op": "SparseSoftmaxCrossEntropyWithLogits"
  26820. }
  26821. },
  26822. {
  26823. "ph": "X",
  26824. "cat": "Op",
  26825. "name": "SparseSoftmaxCrossEntropyWithLogits",
  26826. "pid": 15,
  26827. "tid": 0,
  26828. "ts": 1539815916976033,
  26829. "dur": 4,
  26830. "args": {
  26831. "name": "tower_1/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  26832. "op": "SparseSoftmaxCrossEntropyWithLogits"
  26833. }
  26834. },
  26835. {
  26836. "ph": "X",
  26837. "cat": "Op",
  26838. "name": "SparseSoftmaxCrossEntropyWithLogits",
  26839. "pid": 15,
  26840. "tid": 1,
  26841. "ts": 1539815916976033,
  26842. "dur": 11,
  26843. "args": {
  26844. "name": "tower_2/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  26845. "op": "SparseSoftmaxCrossEntropyWithLogits"
  26846. }
  26847. },
  26848. {
  26849. "ph": "X",
  26850. "cat": "Op",
  26851. "name": "SparseSoftmaxCrossEntropyWithLogits",
  26852. "pid": 15,
  26853. "tid": 2,
  26854. "ts": 1539815916976036,
  26855. "dur": 4,
  26856. "args": {
  26857. "name": "loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  26858. "op": "SparseSoftmaxCrossEntropyWithLogits"
  26859. }
  26860. },
  26861. {
  26862. "ph": "X",
  26863. "cat": "Op",
  26864. "name": "SparseSoftmaxCrossEntropyWithLogits",
  26865. "pid": 15,
  26866. "tid": 0,
  26867. "ts": 1539815916976040,
  26868. "dur": 5,
  26869. "args": {
  26870. "name": "tower_1/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  26871. "op": "SparseSoftmaxCrossEntropyWithLogits"
  26872. }
  26873. },
  26874. {
  26875. "ph": "X",
  26876. "cat": "Op",
  26877. "name": "SparseSoftmaxCrossEntropyWithLogits",
  26878. "pid": 15,
  26879. "tid": 0,
  26880. "ts": 1539815916976048,
  26881. "dur": 4,
  26882. "args": {
  26883. "name": "tower_2/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  26884. "op": "SparseSoftmaxCrossEntropyWithLogits"
  26885. }
  26886. },
  26887. {
  26888. "ph": "X",
  26889. "cat": "Op",
  26890. "name": "SparseSoftmaxCrossEntropyWithLogits",
  26891. "pid": 15,
  26892. "tid": 0,
  26893. "ts": 1539815916976056,
  26894. "dur": 4,
  26895. "args": {
  26896. "name": "tower_2/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  26897. "op": "SparseSoftmaxCrossEntropyWithLogits"
  26898. }
  26899. },
  26900. {
  26901. "ph": "X",
  26902. "cat": "Op",
  26903. "name": "Mean",
  26904. "pid": 15,
  26905. "tid": 0,
  26906. "ts": 1539815916982172,
  26907. "dur": 5,
  26908. "args": {
  26909. "name": "loss/activation_1_loss/Mean",
  26910. "op": "Mean"
  26911. }
  26912. },
  26913. {
  26914. "ph": "X",
  26915. "cat": "Op",
  26916. "name": "Mean",
  26917. "pid": 15,
  26918. "tid": 0,
  26919. "ts": 1539815916982184,
  26920. "dur": 5,
  26921. "args": {
  26922. "name": "tower_3/loss/activation_1_loss/Mean",
  26923. "op": "Mean"
  26924. }
  26925. },
  26926. {
  26927. "ph": "X",
  26928. "cat": "Op",
  26929. "name": "Mean",
  26930. "pid": 15,
  26931. "tid": 1,
  26932. "ts": 1539815916982185,
  26933. "dur": 5,
  26934. "args": {
  26935. "name": "tower_1/loss/activation_1_loss/Mean",
  26936. "op": "Mean"
  26937. }
  26938. },
  26939. {
  26940. "ph": "X",
  26941. "cat": "Op",
  26942. "name": "Mean",
  26943. "pid": 15,
  26944. "tid": 0,
  26945. "ts": 1539815916982216,
  26946. "dur": 5,
  26947. "args": {
  26948. "name": "tower_2/loss/activation_1_loss/Mean",
  26949. "op": "Mean"
  26950. }
  26951. },
  26952. {
  26953. "ph": "X",
  26954. "cat": "Op",
  26955. "name": "Tile",
  26956. "pid": 15,
  26957. "tid": 0,
  26958. "ts": 1539815916983722,
  26959. "dur": 4,
  26960. "args": {
  26961. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/Mean_grad/Tile",
  26962. "op": "Tile"
  26963. }
  26964. },
  26965. {
  26966. "ph": "X",
  26967. "cat": "Op",
  26968. "name": "Tile",
  26969. "pid": 15,
  26970. "tid": 1,
  26971. "ts": 1539815916983725,
  26972. "dur": 5,
  26973. "args": {
  26974. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/Mean_grad/Tile",
  26975. "op": "Tile"
  26976. }
  26977. },
  26978. {
  26979. "ph": "X",
  26980. "cat": "Op",
  26981. "name": "Tile",
  26982. "pid": 15,
  26983. "tid": 0,
  26984. "ts": 1539815916983731,
  26985. "dur": 4,
  26986. "args": {
  26987. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/Mean_grad/Tile",
  26988. "op": "Tile"
  26989. }
  26990. },
  26991. {
  26992. "ph": "X",
  26993. "cat": "Op",
  26994. "name": "Tile",
  26995. "pid": 15,
  26996. "tid": 0,
  26997. "ts": 1539815916983737,
  26998. "dur": 4,
  26999. "args": {
  27000. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/Mean_grad/Tile",
  27001. "op": "Tile"
  27002. }
  27003. },
  27004. {
  27005. "ph": "X",
  27006. "cat": "Op",
  27007. "name": "Cast",
  27008. "pid": 15,
  27009. "tid": 0,
  27010. "ts": 1539815916983897,
  27011. "dur": 4,
  27012. "args": {
  27013. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/Mean_grad/Cast",
  27014. "op": "Cast"
  27015. }
  27016. },
  27017. {
  27018. "ph": "X",
  27019. "cat": "Op",
  27020. "name": "Cast",
  27021. "pid": 15,
  27022. "tid": 0,
  27023. "ts": 1539815916983916,
  27024. "dur": 3,
  27025. "args": {
  27026. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/Mean_grad/Cast",
  27027. "op": "Cast"
  27028. }
  27029. },
  27030. {
  27031. "ph": "X",
  27032. "cat": "Op",
  27033. "name": "Cast",
  27034. "pid": 15,
  27035. "tid": 0,
  27036. "ts": 1539815916983927,
  27037. "dur": 3,
  27038. "args": {
  27039. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/Mean_grad/Cast",
  27040. "op": "Cast"
  27041. }
  27042. },
  27043. {
  27044. "ph": "X",
  27045. "cat": "Op",
  27046. "name": "Cast",
  27047. "pid": 15,
  27048. "tid": 0,
  27049. "ts": 1539815916983964,
  27050. "dur": 3,
  27051. "args": {
  27052. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/Mean_grad/Cast",
  27053. "op": "Cast"
  27054. }
  27055. },
  27056. {
  27057. "ph": "X",
  27058. "cat": "Op",
  27059. "name": "RealDiv",
  27060. "pid": 15,
  27061. "tid": 0,
  27062. "ts": 1539815916985486,
  27063. "dur": 4,
  27064. "args": {
  27065. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/Mean_grad/truediv",
  27066. "op": "RealDiv"
  27067. }
  27068. },
  27069. {
  27070. "ph": "X",
  27071. "cat": "Op",
  27072. "name": "RealDiv",
  27073. "pid": 15,
  27074. "tid": 1,
  27075. "ts": 1539815916985488,
  27076. "dur": 4,
  27077. "args": {
  27078. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/Mean_grad/truediv",
  27079. "op": "RealDiv"
  27080. }
  27081. },
  27082. {
  27083. "ph": "X",
  27084. "cat": "Op",
  27085. "name": "RealDiv",
  27086. "pid": 15,
  27087. "tid": 0,
  27088. "ts": 1539815916985503,
  27089. "dur": 4,
  27090. "args": {
  27091. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/Mean_grad/truediv",
  27092. "op": "RealDiv"
  27093. }
  27094. },
  27095. {
  27096. "ph": "X",
  27097. "cat": "Op",
  27098. "name": "RealDiv",
  27099. "pid": 15,
  27100. "tid": 0,
  27101. "ts": 1539815916985517,
  27102. "dur": 5,
  27103. "args": {
  27104. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/Mean_grad/truediv",
  27105. "op": "RealDiv"
  27106. }
  27107. },
  27108. {
  27109. "ph": "X",
  27110. "cat": "Op",
  27111. "name": "Mul",
  27112. "pid": 15,
  27113. "tid": 0,
  27114. "ts": 1539815916986438,
  27115. "dur": 5,
  27116. "args": {
  27117. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits_grad/mul",
  27118. "op": "Mul"
  27119. }
  27120. },
  27121. {
  27122. "ph": "X",
  27123. "cat": "Op",
  27124. "name": "Mul",
  27125. "pid": 15,
  27126. "tid": 1,
  27127. "ts": 1539815916986440,
  27128. "dur": 6,
  27129. "args": {
  27130. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits_grad/mul",
  27131. "op": "Mul"
  27132. }
  27133. },
  27134. {
  27135. "ph": "X",
  27136. "cat": "Op",
  27137. "name": "Mul",
  27138. "pid": 15,
  27139. "tid": 0,
  27140. "ts": 1539815916986446,
  27141. "dur": 5,
  27142. "args": {
  27143. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits_grad/mul",
  27144. "op": "Mul"
  27145. }
  27146. },
  27147. {
  27148. "ph": "X",
  27149. "cat": "Op",
  27150. "name": "Mul",
  27151. "pid": 15,
  27152. "tid": 1,
  27153. "ts": 1539815916986447,
  27154. "dur": 6,
  27155. "args": {
  27156. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits_grad/mul",
  27157. "op": "Mul"
  27158. }
  27159. },
  27160. {
  27161. "ph": "X",
  27162. "cat": "Op",
  27163. "name": "Reciprocal",
  27164. "pid": 15,
  27165. "tid": 0,
  27166. "ts": 1539815916986489,
  27167. "dur": 4,
  27168. "args": {
  27169. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/Log_grad/Reciprocal",
  27170. "op": "Reciprocal"
  27171. }
  27172. },
  27173. {
  27174. "ph": "X",
  27175. "cat": "Op",
  27176. "name": "Reciprocal",
  27177. "pid": 15,
  27178. "tid": 1,
  27179. "ts": 1539815916986491,
  27180. "dur": 4,
  27181. "args": {
  27182. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/Log_grad/Reciprocal",
  27183. "op": "Reciprocal"
  27184. }
  27185. },
  27186. {
  27187. "ph": "X",
  27188. "cat": "Op",
  27189. "name": "Reciprocal",
  27190. "pid": 15,
  27191. "tid": 0,
  27192. "ts": 1539815916986499,
  27193. "dur": 4,
  27194. "args": {
  27195. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/Log_grad/Reciprocal",
  27196. "op": "Reciprocal"
  27197. }
  27198. },
  27199. {
  27200. "ph": "X",
  27201. "cat": "Op",
  27202. "name": "Reciprocal",
  27203. "pid": 15,
  27204. "tid": 0,
  27205. "ts": 1539815916986507,
  27206. "dur": 4,
  27207. "args": {
  27208. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/Log_grad/Reciprocal",
  27209. "op": "Reciprocal"
  27210. }
  27211. },
  27212. {
  27213. "ph": "X",
  27214. "cat": "Op",
  27215. "name": "Mul",
  27216. "pid": 15,
  27217. "tid": 0,
  27218. "ts": 1539815916986524,
  27219. "dur": 4,
  27220. "args": {
  27221. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/Log_grad/mul",
  27222. "op": "Mul"
  27223. }
  27224. },
  27225. {
  27226. "ph": "X",
  27227. "cat": "Op",
  27228. "name": "Mul",
  27229. "pid": 15,
  27230. "tid": 1,
  27231. "ts": 1539815916986526,
  27232. "dur": 4,
  27233. "args": {
  27234. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/Log_grad/mul",
  27235. "op": "Mul"
  27236. }
  27237. },
  27238. {
  27239. "ph": "X",
  27240. "cat": "Op",
  27241. "name": "Mul",
  27242. "pid": 15,
  27243. "tid": 2,
  27244. "ts": 1539815916986528,
  27245. "dur": 4,
  27246. "args": {
  27247. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/Log_grad/mul",
  27248. "op": "Mul"
  27249. }
  27250. },
  27251. {
  27252. "ph": "X",
  27253. "cat": "Op",
  27254. "name": "Mul",
  27255. "pid": 15,
  27256. "tid": 0,
  27257. "ts": 1539815916986533,
  27258. "dur": 3,
  27259. "args": {
  27260. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/Log_grad/mul",
  27261. "op": "Mul"
  27262. }
  27263. },
  27264. {
  27265. "ph": "X",
  27266. "cat": "Op",
  27267. "name": "Fill",
  27268. "pid": 15,
  27269. "tid": 0,
  27270. "ts": 1539815916986608,
  27271. "dur": 3,
  27272. "args": {
  27273. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value_grad/zeros",
  27274. "op": "Fill"
  27275. }
  27276. },
  27277. {
  27278. "ph": "X",
  27279. "cat": "Op",
  27280. "name": "Fill",
  27281. "pid": 15,
  27282. "tid": 0,
  27283. "ts": 1539815916986630,
  27284. "dur": 3,
  27285. "args": {
  27286. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value_grad/zeros",
  27287. "op": "Fill"
  27288. }
  27289. },
  27290. {
  27291. "ph": "X",
  27292. "cat": "Op",
  27293. "name": "Fill",
  27294. "pid": 15,
  27295. "tid": 0,
  27296. "ts": 1539815916986635,
  27297. "dur": 4,
  27298. "args": {
  27299. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value_grad/zeros",
  27300. "op": "Fill"
  27301. }
  27302. },
  27303. {
  27304. "ph": "X",
  27305. "cat": "Op",
  27306. "name": "Select",
  27307. "pid": 15,
  27308. "tid": 0,
  27309. "ts": 1539815916986652,
  27310. "dur": 4,
  27311. "args": {
  27312. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value_grad/Select",
  27313. "op": "Select"
  27314. }
  27315. },
  27316. {
  27317. "ph": "X",
  27318. "cat": "Op",
  27319. "name": "Fill",
  27320. "pid": 15,
  27321. "tid": 1,
  27322. "ts": 1539815916986656,
  27323. "dur": 4,
  27324. "args": {
  27325. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value_grad/zeros",
  27326. "op": "Fill"
  27327. }
  27328. },
  27329. {
  27330. "ph": "X",
  27331. "cat": "Op",
  27332. "name": "Select",
  27333. "pid": 15,
  27334. "tid": 0,
  27335. "ts": 1539815916986669,
  27336. "dur": 3,
  27337. "args": {
  27338. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value_grad/Select",
  27339. "op": "Select"
  27340. }
  27341. },
  27342. {
  27343. "ph": "X",
  27344. "cat": "Op",
  27345. "name": "Select",
  27346. "pid": 15,
  27347. "tid": 1,
  27348. "ts": 1539815916986670,
  27349. "dur": 4,
  27350. "args": {
  27351. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value_grad/Select",
  27352. "op": "Select"
  27353. }
  27354. },
  27355. {
  27356. "ph": "X",
  27357. "cat": "Op",
  27358. "name": "Select",
  27359. "pid": 15,
  27360. "tid": 0,
  27361. "ts": 1539815916986774,
  27362. "dur": 4,
  27363. "args": {
  27364. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value_grad/Select",
  27365. "op": "Select"
  27366. }
  27367. },
  27368. {
  27369. "ph": "X",
  27370. "cat": "Op",
  27371. "name": "Fill",
  27372. "pid": 15,
  27373. "tid": 0,
  27374. "ts": 1539815916990842,
  27375. "dur": 3,
  27376. "args": {
  27377. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value/Minimum_grad/zeros",
  27378. "op": "Fill"
  27379. }
  27380. },
  27381. {
  27382. "ph": "X",
  27383. "cat": "Op",
  27384. "name": "Fill",
  27385. "pid": 15,
  27386. "tid": 0,
  27387. "ts": 1539815916990874,
  27388. "dur": 3,
  27389. "args": {
  27390. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value/Minimum_grad/zeros",
  27391. "op": "Fill"
  27392. }
  27393. },
  27394. {
  27395. "ph": "X",
  27396. "cat": "Op",
  27397. "name": "Fill",
  27398. "pid": 15,
  27399. "tid": 0,
  27400. "ts": 1539815916990893,
  27401. "dur": 4,
  27402. "args": {
  27403. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value/Minimum_grad/zeros",
  27404. "op": "Fill"
  27405. }
  27406. },
  27407. {
  27408. "ph": "X",
  27409. "cat": "Op",
  27410. "name": "Select",
  27411. "pid": 15,
  27412. "tid": 0,
  27413. "ts": 1539815916990904,
  27414. "dur": 3,
  27415. "args": {
  27416. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value/Minimum_grad/Select",
  27417. "op": "Select"
  27418. }
  27419. },
  27420. {
  27421. "ph": "X",
  27422. "cat": "Op",
  27423. "name": "Fill",
  27424. "pid": 15,
  27425. "tid": 0,
  27426. "ts": 1539815916990912,
  27427. "dur": 3,
  27428. "args": {
  27429. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value/Minimum_grad/zeros",
  27430. "op": "Fill"
  27431. }
  27432. },
  27433. {
  27434. "ph": "X",
  27435. "cat": "Op",
  27436. "name": "Select",
  27437. "pid": 15,
  27438. "tid": 0,
  27439. "ts": 1539815916990922,
  27440. "dur": 3,
  27441. "args": {
  27442. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value/Minimum_grad/Select",
  27443. "op": "Select"
  27444. }
  27445. },
  27446. {
  27447. "ph": "X",
  27448. "cat": "Op",
  27449. "name": "Select",
  27450. "pid": 15,
  27451. "tid": 1,
  27452. "ts": 1539815916990923,
  27453. "dur": 3,
  27454. "args": {
  27455. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value/Minimum_grad/Select",
  27456. "op": "Select"
  27457. }
  27458. },
  27459. {
  27460. "ph": "X",
  27461. "cat": "Op",
  27462. "name": "Select",
  27463. "pid": 15,
  27464. "tid": 0,
  27465. "ts": 1539815916990944,
  27466. "dur": 3,
  27467. "args": {
  27468. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value/Minimum_grad/Select",
  27469. "op": "Select"
  27470. }
  27471. },
  27472. {
  27473. "ph": "X",
  27474. "cat": "Op",
  27475. "name": "Mul",
  27476. "pid": 15,
  27477. "tid": 0,
  27478. "ts": 1539815916991007,
  27479. "dur": 4,
  27480. "args": {
  27481. "name": "tower_1/training/TFOptimizer/gradients/tower_1/activation_1/Softmax_grad/mul",
  27482. "op": "Mul"
  27483. }
  27484. },
  27485. {
  27486. "ph": "X",
  27487. "cat": "Op",
  27488. "name": "Mul",
  27489. "pid": 15,
  27490. "tid": 0,
  27491. "ts": 1539815916991051,
  27492. "dur": 3,
  27493. "args": {
  27494. "name": "tower_3/training/TFOptimizer/gradients/tower_3/activation_1/Softmax_grad/mul",
  27495. "op": "Mul"
  27496. }
  27497. },
  27498. {
  27499. "ph": "X",
  27500. "cat": "Op",
  27501. "name": "Mul",
  27502. "pid": 15,
  27503. "tid": 1,
  27504. "ts": 1539815916991052,
  27505. "dur": 4,
  27506. "args": {
  27507. "name": "tower_2/training/TFOptimizer/gradients/tower_2/activation_1/Softmax_grad/mul",
  27508. "op": "Mul"
  27509. }
  27510. },
  27511. {
  27512. "ph": "X",
  27513. "cat": "Op",
  27514. "name": "Mul",
  27515. "pid": 15,
  27516. "tid": 0,
  27517. "ts": 1539815916991060,
  27518. "dur": 3,
  27519. "args": {
  27520. "name": "training/TFOptimizer/gradients/activation_1/Softmax_grad/mul",
  27521. "op": "Mul"
  27522. }
  27523. },
  27524. {
  27525. "ph": "X",
  27526. "cat": "Op",
  27527. "name": "Sum",
  27528. "pid": 15,
  27529. "tid": 0,
  27530. "ts": 1539815916991065,
  27531. "dur": 5,
  27532. "args": {
  27533. "name": "tower_1/training/TFOptimizer/gradients/tower_1/activation_1/Softmax_grad/Sum",
  27534. "op": "Sum"
  27535. }
  27536. },
  27537. {
  27538. "ph": "X",
  27539. "cat": "Op",
  27540. "name": "Sum",
  27541. "pid": 15,
  27542. "tid": 0,
  27543. "ts": 1539815916991084,
  27544. "dur": 4,
  27545. "args": {
  27546. "name": "tower_3/training/TFOptimizer/gradients/tower_3/activation_1/Softmax_grad/Sum",
  27547. "op": "Sum"
  27548. }
  27549. },
  27550. {
  27551. "ph": "X",
  27552. "cat": "Op",
  27553. "name": "Sum",
  27554. "pid": 15,
  27555. "tid": 0,
  27556. "ts": 1539815916991094,
  27557. "dur": 4,
  27558. "args": {
  27559. "name": "tower_2/training/TFOptimizer/gradients/tower_2/activation_1/Softmax_grad/Sum",
  27560. "op": "Sum"
  27561. }
  27562. },
  27563. {
  27564. "ph": "X",
  27565. "cat": "Op",
  27566. "name": "Sum",
  27567. "pid": 15,
  27568. "tid": 0,
  27569. "ts": 1539815916991114,
  27570. "dur": 5,
  27571. "args": {
  27572. "name": "training/TFOptimizer/gradients/activation_1/Softmax_grad/Sum",
  27573. "op": "Sum"
  27574. }
  27575. },
  27576. {
  27577. "ph": "X",
  27578. "cat": "Op",
  27579. "name": "Sub",
  27580. "pid": 15,
  27581. "tid": 0,
  27582. "ts": 1539815916991122,
  27583. "dur": 5,
  27584. "args": {
  27585. "name": "tower_3/training/TFOptimizer/gradients/tower_3/activation_1/Softmax_grad/sub",
  27586. "op": "Sub"
  27587. }
  27588. },
  27589. {
  27590. "ph": "X",
  27591. "cat": "Op",
  27592. "name": "Sub",
  27593. "pid": 15,
  27594. "tid": 1,
  27595. "ts": 1539815916991123,
  27596. "dur": 5,
  27597. "args": {
  27598. "name": "tower_1/training/TFOptimizer/gradients/tower_1/activation_1/Softmax_grad/sub",
  27599. "op": "Sub"
  27600. }
  27601. },
  27602. {
  27603. "ph": "X",
  27604. "cat": "Op",
  27605. "name": "Sub",
  27606. "pid": 15,
  27607. "tid": 2,
  27608. "ts": 1539815916991126,
  27609. "dur": 5,
  27610. "args": {
  27611. "name": "tower_2/training/TFOptimizer/gradients/tower_2/activation_1/Softmax_grad/sub",
  27612. "op": "Sub"
  27613. }
  27614. },
  27615. {
  27616. "ph": "X",
  27617. "cat": "Op",
  27618. "name": "Sub",
  27619. "pid": 15,
  27620. "tid": 0,
  27621. "ts": 1539815916991147,
  27622. "dur": 6,
  27623. "args": {
  27624. "name": "training/TFOptimizer/gradients/activation_1/Softmax_grad/sub",
  27625. "op": "Sub"
  27626. }
  27627. },
  27628. {
  27629. "ph": "X",
  27630. "cat": "Op",
  27631. "name": "Mul",
  27632. "pid": 15,
  27633. "tid": 0,
  27634. "ts": 1539815916991155,
  27635. "dur": 4,
  27636. "args": {
  27637. "name": "tower_3/training/TFOptimizer/gradients/tower_3/activation_1/Softmax_grad/mul_1",
  27638. "op": "Mul"
  27639. }
  27640. },
  27641. {
  27642. "ph": "X",
  27643. "cat": "Op",
  27644. "name": "Mul",
  27645. "pid": 15,
  27646. "tid": 0,
  27647. "ts": 1539815916991185,
  27648. "dur": 4,
  27649. "args": {
  27650. "name": "tower_1/training/TFOptimizer/gradients/tower_1/activation_1/Softmax_grad/mul_1",
  27651. "op": "Mul"
  27652. }
  27653. },
  27654. {
  27655. "ph": "X",
  27656. "cat": "Op",
  27657. "name": "Mul",
  27658. "pid": 15,
  27659. "tid": 0,
  27660. "ts": 1539815916991209,
  27661. "dur": 3,
  27662. "args": {
  27663. "name": "tower_2/training/TFOptimizer/gradients/tower_2/activation_1/Softmax_grad/mul_1",
  27664. "op": "Mul"
  27665. }
  27666. },
  27667. {
  27668. "ph": "X",
  27669. "cat": "Op",
  27670. "name": "Mul",
  27671. "pid": 15,
  27672. "tid": 0,
  27673. "ts": 1539815916991229,
  27674. "dur": 3,
  27675. "args": {
  27676. "name": "training/TFOptimizer/gradients/activation_1/Softmax_grad/mul_1",
  27677. "op": "Mul"
  27678. }
  27679. },
  27680. {
  27681. "ph": "X",
  27682. "cat": "Op",
  27683. "name": "BiasAddGrad",
  27684. "pid": 15,
  27685. "tid": 0,
  27686. "ts": 1539815916991274,
  27687. "dur": 8,
  27688. "args": {
  27689. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dense_1/BiasAdd_grad/BiasAddGrad",
  27690. "op": "BiasAddGrad"
  27691. }
  27692. },
  27693. {
  27694. "ph": "X",
  27695. "cat": "Op",
  27696. "name": "BiasAddGrad",
  27697. "pid": 15,
  27698. "tid": 0,
  27699. "ts": 1539815916991290,
  27700. "dur": 7,
  27701. "args": {
  27702. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dense_1/BiasAdd_grad/BiasAddGrad",
  27703. "op": "BiasAddGrad"
  27704. }
  27705. },
  27706. {
  27707. "ph": "X",
  27708. "cat": "Op",
  27709. "name": "BiasAddGrad",
  27710. "pid": 15,
  27711. "tid": 0,
  27712. "ts": 1539815916991303,
  27713. "dur": 8,
  27714. "args": {
  27715. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dense_1/BiasAdd_grad/BiasAddGrad",
  27716. "op": "BiasAddGrad"
  27717. }
  27718. },
  27719. {
  27720. "ph": "X",
  27721. "cat": "Op",
  27722. "name": "BiasAddGrad",
  27723. "pid": 15,
  27724. "tid": 0,
  27725. "ts": 1539815916991317,
  27726. "dur": 6,
  27727. "args": {
  27728. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dense_1/BiasAdd_grad/BiasAddGrad",
  27729. "op": "BiasAddGrad"
  27730. }
  27731. },
  27732. {
  27733. "ph": "X",
  27734. "cat": "Op",
  27735. "name": "BiasAddGrad",
  27736. "pid": 15,
  27737. "tid": 1,
  27738. "ts": 1539815916991316,
  27739. "dur": 7,
  27740. "args": {
  27741. "name": "training/TFOptimizer/gradients/dense_1/BiasAdd_grad/BiasAddGrad",
  27742. "op": "BiasAddGrad"
  27743. }
  27744. },
  27745. {
  27746. "ph": "X",
  27747. "cat": "Op",
  27748. "name": "BiasAddGrad",
  27749. "pid": 15,
  27750. "tid": 0,
  27751. "ts": 1539815916991332,
  27752. "dur": 6,
  27753. "args": {
  27754. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dense_1/BiasAdd_grad/BiasAddGrad",
  27755. "op": "BiasAddGrad"
  27756. }
  27757. },
  27758. {
  27759. "ph": "X",
  27760. "cat": "Op",
  27761. "name": "BiasAddGrad",
  27762. "pid": 15,
  27763. "tid": 1,
  27764. "ts": 1539815916991335,
  27765. "dur": 4,
  27766. "args": {
  27767. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dense_1/BiasAdd_grad/BiasAddGrad",
  27768. "op": "BiasAddGrad"
  27769. }
  27770. },
  27771. {
  27772. "ph": "X",
  27773. "cat": "Op",
  27774. "name": "BiasAddGrad",
  27775. "pid": 15,
  27776. "tid": 0,
  27777. "ts": 1539815916991343,
  27778. "dur": 6,
  27779. "args": {
  27780. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dense_1/BiasAdd_grad/BiasAddGrad",
  27781. "op": "BiasAddGrad"
  27782. }
  27783. },
  27784. {
  27785. "ph": "X",
  27786. "cat": "Op",
  27787. "name": "BiasAddGrad",
  27788. "pid": 15,
  27789. "tid": 1,
  27790. "ts": 1539815916991346,
  27791. "dur": 4,
  27792. "args": {
  27793. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dense_1/BiasAdd_grad/BiasAddGrad",
  27794. "op": "BiasAddGrad"
  27795. }
  27796. },
  27797. {
  27798. "ph": "X",
  27799. "cat": "Op",
  27800. "name": "BiasAddGrad",
  27801. "pid": 15,
  27802. "tid": 0,
  27803. "ts": 1539815916991356,
  27804. "dur": 4,
  27805. "args": {
  27806. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dense_1/BiasAdd_grad/BiasAddGrad",
  27807. "op": "BiasAddGrad"
  27808. }
  27809. },
  27810. {
  27811. "ph": "X",
  27812. "cat": "Op",
  27813. "name": "BiasAddGrad",
  27814. "pid": 15,
  27815. "tid": 0,
  27816. "ts": 1539815916991366,
  27817. "dur": 6,
  27818. "args": {
  27819. "name": "training/TFOptimizer/gradients/dense_1/BiasAdd_grad/BiasAddGrad",
  27820. "op": "BiasAddGrad"
  27821. }
  27822. },
  27823. {
  27824. "ph": "X",
  27825. "cat": "Op",
  27826. "name": "BiasAddGrad",
  27827. "pid": 15,
  27828. "tid": 0,
  27829. "ts": 1539815916991381,
  27830. "dur": 5,
  27831. "args": {
  27832. "name": "training/TFOptimizer/gradients/dense_1/BiasAdd_grad/BiasAddGrad",
  27833. "op": "BiasAddGrad"
  27834. }
  27835. },
  27836. {
  27837. "ph": "X",
  27838. "cat": "Op",
  27839. "name": "MatMul",
  27840. "pid": 15,
  27841. "tid": 0,
  27842. "ts": 1539815916991408,
  27843. "dur": 16,
  27844. "args": {
  27845. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dense_1/MatMul_grad/MatMul",
  27846. "op": "MatMul"
  27847. }
  27848. },
  27849. {
  27850. "ph": "X",
  27851. "cat": "Op",
  27852. "name": "MatMul",
  27853. "pid": 15,
  27854. "tid": 1,
  27855. "ts": 1539815916991407,
  27856. "dur": 17,
  27857. "args": {
  27858. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dense_1/MatMul_grad/MatMul",
  27859. "op": "MatMul"
  27860. }
  27861. },
  27862. {
  27863. "ph": "X",
  27864. "cat": "Op",
  27865. "name": "MatMul",
  27866. "pid": 15,
  27867. "tid": 0,
  27868. "ts": 1539815916991426,
  27869. "dur": 17,
  27870. "args": {
  27871. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dense_1/MatMul_grad/MatMul",
  27872. "op": "MatMul"
  27873. }
  27874. },
  27875. {
  27876. "ph": "X",
  27877. "cat": "Op",
  27878. "name": "MatMul",
  27879. "pid": 15,
  27880. "tid": 0,
  27881. "ts": 1539815916991457,
  27882. "dur": 40,
  27883. "args": {
  27884. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dense_1/MatMul_grad/MatMul_1",
  27885. "op": "MatMul"
  27886. }
  27887. },
  27888. {
  27889. "ph": "X",
  27890. "cat": "Op",
  27891. "name": "MatMul",
  27892. "pid": 15,
  27893. "tid": 1,
  27894. "ts": 1539815916991468,
  27895. "dur": 40,
  27896. "args": {
  27897. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dense_1/MatMul_grad/MatMul_1",
  27898. "op": "MatMul"
  27899. }
  27900. },
  27901. {
  27902. "ph": "X",
  27903. "cat": "Op",
  27904. "name": "MatMul",
  27905. "pid": 15,
  27906. "tid": 2,
  27907. "ts": 1539815916991476,
  27908. "dur": 17,
  27909. "args": {
  27910. "name": "training/TFOptimizer/gradients/dense_1/MatMul_grad/MatMul",
  27911. "op": "MatMul"
  27912. }
  27913. },
  27914. {
  27915. "ph": "X",
  27916. "cat": "Op",
  27917. "name": "MatMul",
  27918. "pid": 15,
  27919. "tid": 3,
  27920. "ts": 1539815916991487,
  27921. "dur": 40,
  27922. "args": {
  27923. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dense_1/MatMul_grad/MatMul_1",
  27924. "op": "MatMul"
  27925. }
  27926. },
  27927. {
  27928. "ph": "X",
  27929. "cat": "Op",
  27930. "name": "Mul",
  27931. "pid": 15,
  27932. "tid": 0,
  27933. "ts": 1539815916991510,
  27934. "dur": 4,
  27935. "args": {
  27936. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_3/dropout/mul_grad/Mul",
  27937. "op": "Mul"
  27938. }
  27939. },
  27940. {
  27941. "ph": "X",
  27942. "cat": "Op",
  27943. "name": "Mul",
  27944. "pid": 15,
  27945. "tid": 0,
  27946. "ts": 1539815916991518,
  27947. "dur": 4,
  27948. "args": {
  27949. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_3/dropout/mul_grad/Mul",
  27950. "op": "Mul"
  27951. }
  27952. },
  27953. {
  27954. "ph": "X",
  27955. "cat": "Op",
  27956. "name": "MatMul",
  27957. "pid": 15,
  27958. "tid": 0,
  27959. "ts": 1539815916991524,
  27960. "dur": 40,
  27961. "args": {
  27962. "name": "training/TFOptimizer/gradients/dense_1/MatMul_grad/MatMul_1",
  27963. "op": "MatMul"
  27964. }
  27965. },
  27966. {
  27967. "ph": "X",
  27968. "cat": "Op",
  27969. "name": "Mul",
  27970. "pid": 15,
  27971. "tid": 1,
  27972. "ts": 1539815916991542,
  27973. "dur": 4,
  27974. "args": {
  27975. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_3/dropout/mul_grad/Mul",
  27976. "op": "Mul"
  27977. }
  27978. },
  27979. {
  27980. "ph": "X",
  27981. "cat": "Op",
  27982. "name": "Mul",
  27983. "pid": 15,
  27984. "tid": 2,
  27985. "ts": 1539815916991544,
  27986. "dur": 3,
  27987. "args": {
  27988. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_3/dropout/div_grad/RealDiv",
  27989. "op": "Mul"
  27990. }
  27991. },
  27992. {
  27993. "ph": "X",
  27994. "cat": "Op",
  27995. "name": "Mul",
  27996. "pid": 15,
  27997. "tid": 3,
  27998. "ts": 1539815916991545,
  27999. "dur": 4,
  28000. "args": {
  28001. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_3/dropout/div_grad/RealDiv",
  28002. "op": "Mul"
  28003. }
  28004. },
  28005. {
  28006. "ph": "X",
  28007. "cat": "Op",
  28008. "name": "Mul",
  28009. "pid": 15,
  28010. "tid": 0,
  28011. "ts": 1539815916991575,
  28012. "dur": 4,
  28013. "args": {
  28014. "name": "training/TFOptimizer/gradients/dropout_3/dropout/mul_grad/Mul",
  28015. "op": "Mul"
  28016. }
  28017. },
  28018. {
  28019. "ph": "X",
  28020. "cat": "Op",
  28021. "name": "Mul",
  28022. "pid": 15,
  28023. "tid": 1,
  28024. "ts": 1539815916991577,
  28025. "dur": 4,
  28026. "args": {
  28027. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_3/dropout/div_grad/RealDiv",
  28028. "op": "Mul"
  28029. }
  28030. },
  28031. {
  28032. "ph": "X",
  28033. "cat": "Op",
  28034. "name": "EluGrad",
  28035. "pid": 15,
  28036. "tid": 0,
  28037. "ts": 1539815916991600,
  28038. "dur": 5,
  28039. "args": {
  28040. "name": "tower_1/training/TFOptimizer/gradients/tower_1/activation/Elu_grad/EluGrad",
  28041. "op": "EluGrad"
  28042. }
  28043. },
  28044. {
  28045. "ph": "X",
  28046. "cat": "Op",
  28047. "name": "EluGrad",
  28048. "pid": 15,
  28049. "tid": 1,
  28050. "ts": 1539815916991600,
  28051. "dur": 5,
  28052. "args": {
  28053. "name": "tower_2/training/TFOptimizer/gradients/tower_2/activation/Elu_grad/EluGrad",
  28054. "op": "EluGrad"
  28055. }
  28056. },
  28057. {
  28058. "ph": "X",
  28059. "cat": "Op",
  28060. "name": "Mul",
  28061. "pid": 15,
  28062. "tid": 2,
  28063. "ts": 1539815916991604,
  28064. "dur": 4,
  28065. "args": {
  28066. "name": "training/TFOptimizer/gradients/dropout_3/dropout/div_grad/RealDiv",
  28067. "op": "Mul"
  28068. }
  28069. },
  28070. {
  28071. "ph": "X",
  28072. "cat": "Op",
  28073. "name": "EluGrad",
  28074. "pid": 15,
  28075. "tid": 0,
  28076. "ts": 1539815916991629,
  28077. "dur": 4,
  28078. "args": {
  28079. "name": "tower_3/training/TFOptimizer/gradients/tower_3/activation/Elu_grad/EluGrad",
  28080. "op": "EluGrad"
  28081. }
  28082. },
  28083. {
  28084. "ph": "X",
  28085. "cat": "Op",
  28086. "name": "BiasAddGrad",
  28087. "pid": 15,
  28088. "tid": 0,
  28089. "ts": 1539815916991660,
  28090. "dur": 5,
  28091. "args": {
  28092. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dense/BiasAdd_grad/BiasAddGrad",
  28093. "op": "BiasAddGrad"
  28094. }
  28095. },
  28096. {
  28097. "ph": "X",
  28098. "cat": "Op",
  28099. "name": "BiasAddGrad",
  28100. "pid": 15,
  28101. "tid": 0,
  28102. "ts": 1539815916991677,
  28103. "dur": 5,
  28104. "args": {
  28105. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dense/BiasAdd_grad/BiasAddGrad",
  28106. "op": "BiasAddGrad"
  28107. }
  28108. },
  28109. {
  28110. "ph": "X",
  28111. "cat": "Op",
  28112. "name": "BiasAddGrad",
  28113. "pid": 15,
  28114. "tid": 0,
  28115. "ts": 1539815916991698,
  28116. "dur": 5,
  28117. "args": {
  28118. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dense/BiasAdd_grad/BiasAddGrad",
  28119. "op": "BiasAddGrad"
  28120. }
  28121. },
  28122. {
  28123. "ph": "X",
  28124. "cat": "Op",
  28125. "name": "BiasAddGrad",
  28126. "pid": 15,
  28127. "tid": 0,
  28128. "ts": 1539815916991709,
  28129. "dur": 4,
  28130. "args": {
  28131. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dense/BiasAdd_grad/BiasAddGrad",
  28132. "op": "BiasAddGrad"
  28133. }
  28134. },
  28135. {
  28136. "ph": "X",
  28137. "cat": "Op",
  28138. "name": "EluGrad",
  28139. "pid": 15,
  28140. "tid": 1,
  28141. "ts": 1539815916991708,
  28142. "dur": 4,
  28143. "args": {
  28144. "name": "training/TFOptimizer/gradients/activation/Elu_grad/EluGrad",
  28145. "op": "EluGrad"
  28146. }
  28147. },
  28148. {
  28149. "ph": "X",
  28150. "cat": "Op",
  28151. "name": "BiasAddGrad",
  28152. "pid": 15,
  28153. "tid": 0,
  28154. "ts": 1539815916991722,
  28155. "dur": 5,
  28156. "args": {
  28157. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dense/BiasAdd_grad/BiasAddGrad",
  28158. "op": "BiasAddGrad"
  28159. }
  28160. },
  28161. {
  28162. "ph": "X",
  28163. "cat": "Op",
  28164. "name": "BiasAddGrad",
  28165. "pid": 15,
  28166. "tid": 0,
  28167. "ts": 1539815916991729,
  28168. "dur": 4,
  28169. "args": {
  28170. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dense/BiasAdd_grad/BiasAddGrad",
  28171. "op": "BiasAddGrad"
  28172. }
  28173. },
  28174. {
  28175. "ph": "X",
  28176. "cat": "Op",
  28177. "name": "BiasAddGrad",
  28178. "pid": 15,
  28179. "tid": 1,
  28180. "ts": 1539815916991733,
  28181. "dur": 5,
  28182. "args": {
  28183. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dense/BiasAdd_grad/BiasAddGrad",
  28184. "op": "BiasAddGrad"
  28185. }
  28186. },
  28187. {
  28188. "ph": "X",
  28189. "cat": "Op",
  28190. "name": "BiasAddGrad",
  28191. "pid": 15,
  28192. "tid": 0,
  28193. "ts": 1539815916991757,
  28194. "dur": 5,
  28195. "args": {
  28196. "name": "training/TFOptimizer/gradients/dense/BiasAdd_grad/BiasAddGrad",
  28197. "op": "BiasAddGrad"
  28198. }
  28199. },
  28200. {
  28201. "ph": "X",
  28202. "cat": "Op",
  28203. "name": "MatMul",
  28204. "pid": 15,
  28205. "tid": 0,
  28206. "ts": 1539815916991766,
  28207. "dur": 38,
  28208. "args": {
  28209. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dense/MatMul_grad/MatMul",
  28210. "op": "MatMul"
  28211. }
  28212. },
  28213. {
  28214. "ph": "X",
  28215. "cat": "Op",
  28216. "name": "BiasAddGrad",
  28217. "pid": 15,
  28218. "tid": 1,
  28219. "ts": 1539815916991773,
  28220. "dur": 5,
  28221. "args": {
  28222. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dense/BiasAdd_grad/BiasAddGrad",
  28223. "op": "BiasAddGrad"
  28224. }
  28225. },
  28226. {
  28227. "ph": "X",
  28228. "cat": "Op",
  28229. "name": "BiasAddGrad",
  28230. "pid": 15,
  28231. "tid": 1,
  28232. "ts": 1539815916991785,
  28233. "dur": 6,
  28234. "args": {
  28235. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dense/BiasAdd_grad/BiasAddGrad",
  28236. "op": "BiasAddGrad"
  28237. }
  28238. },
  28239. {
  28240. "ph": "X",
  28241. "cat": "Op",
  28242. "name": "MatMul",
  28243. "pid": 15,
  28244. "tid": 1,
  28245. "ts": 1539815916991793,
  28246. "dur": 39,
  28247. "args": {
  28248. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dense/MatMul_grad/MatMul",
  28249. "op": "MatMul"
  28250. }
  28251. },
  28252. {
  28253. "ph": "X",
  28254. "cat": "Op",
  28255. "name": "BiasAddGrad",
  28256. "pid": 15,
  28257. "tid": 2,
  28258. "ts": 1539815916991793,
  28259. "dur": 5,
  28260. "args": {
  28261. "name": "training/TFOptimizer/gradients/dense/BiasAdd_grad/BiasAddGrad",
  28262. "op": "BiasAddGrad"
  28263. }
  28264. },
  28265. {
  28266. "ph": "X",
  28267. "cat": "Op",
  28268. "name": "BiasAddGrad",
  28269. "pid": 15,
  28270. "tid": 2,
  28271. "ts": 1539815916991804,
  28272. "dur": 6,
  28273. "args": {
  28274. "name": "training/TFOptimizer/gradients/dense/BiasAdd_grad/BiasAddGrad",
  28275. "op": "BiasAddGrad"
  28276. }
  28277. },
  28278. {
  28279. "ph": "X",
  28280. "cat": "Op",
  28281. "name": "MatMul",
  28282. "pid": 15,
  28283. "tid": 0,
  28284. "ts": 1539815916991811,
  28285. "dur": 43,
  28286. "args": {
  28287. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dense/MatMul_grad/MatMul_1",
  28288. "op": "MatMul"
  28289. }
  28290. },
  28291. {
  28292. "ph": "X",
  28293. "cat": "Op",
  28294. "name": "MatMul",
  28295. "pid": 15,
  28296. "tid": 1,
  28297. "ts": 1539815916991836,
  28298. "dur": 41,
  28299. "args": {
  28300. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dense/MatMul_grad/MatMul_1",
  28301. "op": "MatMul"
  28302. }
  28303. },
  28304. {
  28305. "ph": "X",
  28306. "cat": "Op",
  28307. "name": "MatMul",
  28308. "pid": 15,
  28309. "tid": 2,
  28310. "ts": 1539815916991844,
  28311. "dur": 38,
  28312. "args": {
  28313. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dense/MatMul_grad/MatMul",
  28314. "op": "MatMul"
  28315. }
  28316. },
  28317. {
  28318. "ph": "X",
  28319. "cat": "Op",
  28320. "name": "MatMul",
  28321. "pid": 15,
  28322. "tid": 0,
  28323. "ts": 1539815916991886,
  28324. "dur": 44,
  28325. "args": {
  28326. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dense/MatMul_grad/MatMul_1",
  28327. "op": "MatMul"
  28328. }
  28329. },
  28330. {
  28331. "ph": "X",
  28332. "cat": "Op",
  28333. "name": "MatMul",
  28334. "pid": 15,
  28335. "tid": 1,
  28336. "ts": 1539815916991886,
  28337. "dur": 37,
  28338. "args": {
  28339. "name": "training/TFOptimizer/gradients/dense/MatMul_grad/MatMul",
  28340. "op": "MatMul"
  28341. }
  28342. },
  28343. {
  28344. "ph": "X",
  28345. "cat": "Op",
  28346. "name": "Mul",
  28347. "pid": 15,
  28348. "tid": 2,
  28349. "ts": 1539815916991922,
  28350. "dur": 13,
  28351. "args": {
  28352. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_2/dropout/mul_grad/Mul",
  28353. "op": "Mul"
  28354. }
  28355. },
  28356. {
  28357. "ph": "X",
  28358. "cat": "Op",
  28359. "name": "MatMul",
  28360. "pid": 15,
  28361. "tid": 1,
  28362. "ts": 1539815916991928,
  28363. "dur": 41,
  28364. "args": {
  28365. "name": "training/TFOptimizer/gradients/dense/MatMul_grad/MatMul_1",
  28366. "op": "MatMul"
  28367. }
  28368. },
  28369. {
  28370. "ph": "X",
  28371. "cat": "Op",
  28372. "name": "Mul",
  28373. "pid": 15,
  28374. "tid": 0,
  28375. "ts": 1539815916991935,
  28376. "dur": 12,
  28377. "args": {
  28378. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_2/dropout/mul_grad/Mul",
  28379. "op": "Mul"
  28380. }
  28381. },
  28382. {
  28383. "ph": "X",
  28384. "cat": "Op",
  28385. "name": "Mul",
  28386. "pid": 15,
  28387. "tid": 0,
  28388. "ts": 1539815916991950,
  28389. "dur": 12,
  28390. "args": {
  28391. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_2/dropout/mul_grad/Mul",
  28392. "op": "Mul"
  28393. }
  28394. },
  28395. {
  28396. "ph": "X",
  28397. "cat": "Op",
  28398. "name": "Mul",
  28399. "pid": 15,
  28400. "tid": 2,
  28401. "ts": 1539815916991959,
  28402. "dur": 6,
  28403. "args": {
  28404. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_2/dropout/div_grad/RealDiv",
  28405. "op": "Mul"
  28406. }
  28407. },
  28408. {
  28409. "ph": "X",
  28410. "cat": "Op",
  28411. "name": "Mul",
  28412. "pid": 15,
  28413. "tid": 0,
  28414. "ts": 1539815916991966,
  28415. "dur": 6,
  28416. "args": {
  28417. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_2/dropout/div_grad/RealDiv",
  28418. "op": "Mul"
  28419. }
  28420. },
  28421. {
  28422. "ph": "X",
  28423. "cat": "Op",
  28424. "name": "Mul",
  28425. "pid": 15,
  28426. "tid": 0,
  28427. "ts": 1539815916991979,
  28428. "dur": 5,
  28429. "args": {
  28430. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_2/dropout/div_grad/RealDiv",
  28431. "op": "Mul"
  28432. }
  28433. },
  28434. {
  28435. "ph": "X",
  28436. "cat": "Op",
  28437. "name": "Mul",
  28438. "pid": 15,
  28439. "tid": 0,
  28440. "ts": 1539815916991987,
  28441. "dur": 13,
  28442. "args": {
  28443. "name": "training/TFOptimizer/gradients/dropout_2/dropout/mul_grad/Mul",
  28444. "op": "Mul"
  28445. }
  28446. },
  28447. {
  28448. "ph": "X",
  28449. "cat": "Op",
  28450. "name": "Transpose",
  28451. "pid": 15,
  28452. "tid": 0,
  28453. "ts": 1539815916992018,
  28454. "dur": 12,
  28455. "args": {
  28456. "name": "tower_1/training/TFOptimizer/gradients/tower_1/max_pooling2d_2/MaxPool_grad/MaxPoolGrad-2-TransposeNHWCToNCHW-LayoutOptimizer",
  28457. "op": "Transpose"
  28458. }
  28459. },
  28460. {
  28461. "ph": "X",
  28462. "cat": "Op",
  28463. "name": "Mul",
  28464. "pid": 15,
  28465. "tid": 1,
  28466. "ts": 1539815916992023,
  28467. "dur": 5,
  28468. "args": {
  28469. "name": "training/TFOptimizer/gradients/dropout_2/dropout/div_grad/RealDiv",
  28470. "op": "Mul"
  28471. }
  28472. },
  28473. {
  28474. "ph": "X",
  28475. "cat": "Op",
  28476. "name": "Transpose",
  28477. "pid": 15,
  28478. "tid": 2,
  28479. "ts": 1539815916992026,
  28480. "dur": 12,
  28481. "args": {
  28482. "name": "tower_2/training/TFOptimizer/gradients/tower_2/max_pooling2d_2/MaxPool_grad/MaxPoolGrad-2-TransposeNHWCToNCHW-LayoutOptimizer",
  28483. "op": "Transpose"
  28484. }
  28485. },
  28486. {
  28487. "ph": "X",
  28488. "cat": "Op",
  28489. "name": "Transpose",
  28490. "pid": 15,
  28491. "tid": 0,
  28492. "ts": 1539815916992038,
  28493. "dur": 12,
  28494. "args": {
  28495. "name": "tower_3/training/TFOptimizer/gradients/tower_3/max_pooling2d_2/MaxPool_grad/MaxPoolGrad-2-TransposeNHWCToNCHW-LayoutOptimizer",
  28496. "op": "Transpose"
  28497. }
  28498. },
  28499. {
  28500. "ph": "X",
  28501. "cat": "Op",
  28502. "name": "Transpose",
  28503. "pid": 15,
  28504. "tid": 0,
  28505. "ts": 1539815916992134,
  28506. "dur": 12,
  28507. "args": {
  28508. "name": "training/TFOptimizer/gradients/max_pooling2d_2/MaxPool_grad/MaxPoolGrad-2-TransposeNHWCToNCHW-LayoutOptimizer",
  28509. "op": "Transpose"
  28510. }
  28511. },
  28512. {
  28513. "ph": "X",
  28514. "cat": "Op",
  28515. "name": "MaxPoolGrad",
  28516. "pid": 15,
  28517. "tid": 0,
  28518. "ts": 1539815916993602,
  28519. "dur": 192,
  28520. "args": {
  28521. "name": "training/TFOptimizer/gradients/max_pooling2d_2/MaxPool_grad/MaxPoolGrad",
  28522. "op": "MaxPoolGrad"
  28523. }
  28524. },
  28525. {
  28526. "ph": "X",
  28527. "cat": "Op",
  28528. "name": "MaxPoolGrad",
  28529. "pid": 15,
  28530. "tid": 1,
  28531. "ts": 1539815916993607,
  28532. "dur": 192,
  28533. "args": {
  28534. "name": "tower_3/training/TFOptimizer/gradients/tower_3/max_pooling2d_2/MaxPool_grad/MaxPoolGrad",
  28535. "op": "MaxPoolGrad"
  28536. }
  28537. },
  28538. {
  28539. "ph": "X",
  28540. "cat": "Op",
  28541. "name": "MaxPoolGrad",
  28542. "pid": 15,
  28543. "tid": 2,
  28544. "ts": 1539815916993610,
  28545. "dur": 192,
  28546. "args": {
  28547. "name": "tower_2/training/TFOptimizer/gradients/tower_2/max_pooling2d_2/MaxPool_grad/MaxPoolGrad",
  28548. "op": "MaxPoolGrad"
  28549. }
  28550. },
  28551. {
  28552. "ph": "X",
  28553. "cat": "Op",
  28554. "name": "MaxPoolGrad",
  28555. "pid": 15,
  28556. "tid": 3,
  28557. "ts": 1539815916993613,
  28558. "dur": 192,
  28559. "args": {
  28560. "name": "tower_1/training/TFOptimizer/gradients/tower_1/max_pooling2d_2/MaxPool_grad/MaxPoolGrad",
  28561. "op": "MaxPoolGrad"
  28562. }
  28563. },
  28564. {
  28565. "ph": "X",
  28566. "cat": "Op",
  28567. "name": "EluGrad",
  28568. "pid": 15,
  28569. "tid": 0,
  28570. "ts": 1539815916993797,
  28571. "dur": 51,
  28572. "args": {
  28573. "name": "training/TFOptimizer/gradients/conv2d_2/Elu_grad/EluGrad",
  28574. "op": "EluGrad"
  28575. }
  28576. },
  28577. {
  28578. "ph": "X",
  28579. "cat": "Op",
  28580. "name": "EluGrad",
  28581. "pid": 15,
  28582. "tid": 1,
  28583. "ts": 1539815916993809,
  28584. "dur": 51,
  28585. "args": {
  28586. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Elu_grad/EluGrad",
  28587. "op": "EluGrad"
  28588. }
  28589. },
  28590. {
  28591. "ph": "X",
  28592. "cat": "Op",
  28593. "name": "EluGrad",
  28594. "pid": 15,
  28595. "tid": 2,
  28596. "ts": 1539815916993803,
  28597. "dur": 52,
  28598. "args": {
  28599. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Elu_grad/EluGrad",
  28600. "op": "EluGrad"
  28601. }
  28602. },
  28603. {
  28604. "ph": "X",
  28605. "cat": "Op",
  28606. "name": "EluGrad",
  28607. "pid": 15,
  28608. "tid": 3,
  28609. "ts": 1539815916993806,
  28610. "dur": 52,
  28611. "args": {
  28612. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Elu_grad/EluGrad",
  28613. "op": "EluGrad"
  28614. }
  28615. },
  28616. {
  28617. "ph": "X",
  28618. "cat": "Op",
  28619. "name": "BiasAddGrad",
  28620. "pid": 15,
  28621. "tid": 0,
  28622. "ts": 1539815916993860,
  28623. "dur": 36,
  28624. "args": {
  28625. "name": "training/TFOptimizer/gradients/conv2d_2/BiasAdd_grad/BiasAddGrad",
  28626. "op": "BiasAddGrad"
  28627. }
  28628. },
  28629. {
  28630. "ph": "X",
  28631. "cat": "Op",
  28632. "name": "BiasAddGrad",
  28633. "pid": 15,
  28634. "tid": 1,
  28635. "ts": 1539815916993866,
  28636. "dur": 36,
  28637. "args": {
  28638. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/BiasAdd_grad/BiasAddGrad",
  28639. "op": "BiasAddGrad"
  28640. }
  28641. },
  28642. {
  28643. "ph": "X",
  28644. "cat": "Op",
  28645. "name": "BiasAddGrad",
  28646. "pid": 15,
  28647. "tid": 2,
  28648. "ts": 1539815916993872,
  28649. "dur": 36,
  28650. "args": {
  28651. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/BiasAdd_grad/BiasAddGrad",
  28652. "op": "BiasAddGrad"
  28653. }
  28654. },
  28655. {
  28656. "ph": "X",
  28657. "cat": "Op",
  28658. "name": "BiasAddGrad",
  28659. "pid": 15,
  28660. "tid": 3,
  28661. "ts": 1539815916993868,
  28662. "dur": 37,
  28663. "args": {
  28664. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/BiasAdd_grad/BiasAddGrad",
  28665. "op": "BiasAddGrad"
  28666. }
  28667. },
  28668. {
  28669. "ph": "X",
  28670. "cat": "Op",
  28671. "name": "BiasAddGrad",
  28672. "pid": 15,
  28673. "tid": 0,
  28674. "ts": 1539815916993929,
  28675. "dur": 32,
  28676. "args": {
  28677. "name": "training/TFOptimizer/gradients/conv2d_2/BiasAdd_grad/BiasAddGrad",
  28678. "op": "BiasAddGrad"
  28679. }
  28680. },
  28681. {
  28682. "ph": "X",
  28683. "cat": "Op",
  28684. "name": "BiasAddGrad",
  28685. "pid": 15,
  28686. "tid": 1,
  28687. "ts": 1539815916993935,
  28688. "dur": 32,
  28689. "args": {
  28690. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/BiasAdd_grad/BiasAddGrad",
  28691. "op": "BiasAddGrad"
  28692. }
  28693. },
  28694. {
  28695. "ph": "X",
  28696. "cat": "Op",
  28697. "name": "BiasAddGrad",
  28698. "pid": 15,
  28699. "tid": 2,
  28700. "ts": 1539815916993939,
  28701. "dur": 31,
  28702. "args": {
  28703. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/BiasAdd_grad/BiasAddGrad",
  28704. "op": "BiasAddGrad"
  28705. }
  28706. },
  28707. {
  28708. "ph": "X",
  28709. "cat": "Op",
  28710. "name": "BiasAddGrad",
  28711. "pid": 15,
  28712. "tid": 3,
  28713. "ts": 1539815916993940,
  28714. "dur": 32,
  28715. "args": {
  28716. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/BiasAdd_grad/BiasAddGrad",
  28717. "op": "BiasAddGrad"
  28718. }
  28719. },
  28720. {
  28721. "ph": "X",
  28722. "cat": "Op",
  28723. "name": "BiasAddGrad",
  28724. "pid": 15,
  28725. "tid": 0,
  28726. "ts": 1539815916993965,
  28727. "dur": 5,
  28728. "args": {
  28729. "name": "training/TFOptimizer/gradients/conv2d_2/BiasAdd_grad/BiasAddGrad",
  28730. "op": "BiasAddGrad"
  28731. }
  28732. },
  28733. {
  28734. "ph": "X",
  28735. "cat": "Op",
  28736. "name": "BiasAddGrad",
  28737. "pid": 15,
  28738. "tid": 0,
  28739. "ts": 1539815916993971,
  28740. "dur": 5,
  28741. "args": {
  28742. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/BiasAdd_grad/BiasAddGrad",
  28743. "op": "BiasAddGrad"
  28744. }
  28745. },
  28746. {
  28747. "ph": "X",
  28748. "cat": "Op",
  28749. "name": "BiasAddGrad",
  28750. "pid": 15,
  28751. "tid": 1,
  28752. "ts": 1539815916993975,
  28753. "dur": 5,
  28754. "args": {
  28755. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/BiasAdd_grad/BiasAddGrad",
  28756. "op": "BiasAddGrad"
  28757. }
  28758. },
  28759. {
  28760. "ph": "X",
  28761. "cat": "Op",
  28762. "name": "BiasAddGrad",
  28763. "pid": 15,
  28764. "tid": 0,
  28765. "ts": 1539815916993979,
  28766. "dur": 6,
  28767. "args": {
  28768. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/BiasAdd_grad/BiasAddGrad",
  28769. "op": "BiasAddGrad"
  28770. }
  28771. },
  28772. {
  28773. "ph": "X",
  28774. "cat": "Op",
  28775. "name": "BiasAddGrad",
  28776. "pid": 15,
  28777. "tid": 2,
  28778. "ts": 1539815916993973,
  28779. "dur": 6,
  28780. "args": {
  28781. "name": "training/TFOptimizer/gradients/conv2d_2/BiasAdd_grad/BiasAddGrad",
  28782. "op": "BiasAddGrad"
  28783. }
  28784. },
  28785. {
  28786. "ph": "X",
  28787. "cat": "Op",
  28788. "name": "BiasAddGrad",
  28789. "pid": 15,
  28790. "tid": 1,
  28791. "ts": 1539815916993983,
  28792. "dur": 5,
  28793. "args": {
  28794. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/BiasAdd_grad/BiasAddGrad",
  28795. "op": "BiasAddGrad"
  28796. }
  28797. },
  28798. {
  28799. "ph": "X",
  28800. "cat": "Op",
  28801. "name": "BiasAddGrad",
  28802. "pid": 15,
  28803. "tid": 3,
  28804. "ts": 1539815916993976,
  28805. "dur": 5,
  28806. "args": {
  28807. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/BiasAdd_grad/BiasAddGrad",
  28808. "op": "BiasAddGrad"
  28809. }
  28810. },
  28811. {
  28812. "ph": "X",
  28813. "cat": "Op",
  28814. "name": "BiasAddGrad",
  28815. "pid": 15,
  28816. "tid": 0,
  28817. "ts": 1539815916993986,
  28818. "dur": 5,
  28819. "args": {
  28820. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/BiasAdd_grad/BiasAddGrad",
  28821. "op": "BiasAddGrad"
  28822. }
  28823. },
  28824. {
  28825. "ph": "X",
  28826. "cat": "Op",
  28827. "name": "Conv2DBackpropFilter",
  28828. "pid": 15,
  28829. "tid": 0,
  28830. "ts": 1539815916994129,
  28831. "dur": 4401,
  28832. "args": {
  28833. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  28834. "op": "Conv2DBackpropFilter"
  28835. }
  28836. },
  28837. {
  28838. "ph": "X",
  28839. "cat": "Op",
  28840. "name": "Conv2DBackpropFilter",
  28841. "pid": 15,
  28842. "tid": 1,
  28843. "ts": 1539815916994133,
  28844. "dur": 4394,
  28845. "args": {
  28846. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  28847. "op": "Conv2DBackpropFilter"
  28848. }
  28849. },
  28850. {
  28851. "ph": "X",
  28852. "cat": "Op",
  28853. "name": "Conv2DBackpropFilter",
  28854. "pid": 15,
  28855. "tid": 2,
  28856. "ts": 1539815916994138,
  28857. "dur": 4392,
  28858. "args": {
  28859. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  28860. "op": "Conv2DBackpropFilter"
  28861. }
  28862. },
  28863. {
  28864. "ph": "X",
  28865. "cat": "Op",
  28866. "name": "Conv2DBackpropFilter",
  28867. "pid": 15,
  28868. "tid": 3,
  28869. "ts": 1539815916994143,
  28870. "dur": 4409,
  28871. "args": {
  28872. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  28873. "op": "Conv2DBackpropFilter"
  28874. }
  28875. },
  28876. {
  28877. "ph": "X",
  28878. "cat": "Op",
  28879. "name": "Conv2DBackpropFilter",
  28880. "pid": 15,
  28881. "tid": 0,
  28882. "ts": 1539815916998594,
  28883. "dur": 4371,
  28884. "args": {
  28885. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  28886. "op": "Conv2DBackpropFilter"
  28887. }
  28888. },
  28889. {
  28890. "ph": "X",
  28891. "cat": "Op",
  28892. "name": "Conv2DBackpropFilter",
  28893. "pid": 15,
  28894. "tid": 1,
  28895. "ts": 1539815916998604,
  28896. "dur": 4417,
  28897. "args": {
  28898. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  28899. "op": "Conv2DBackpropFilter"
  28900. }
  28901. },
  28902. {
  28903. "ph": "X",
  28904. "cat": "Op",
  28905. "name": "Conv2DBackpropFilter",
  28906. "pid": 15,
  28907. "tid": 2,
  28908. "ts": 1539815916998615,
  28909. "dur": 4392,
  28910. "args": {
  28911. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  28912. "op": "Conv2DBackpropFilter"
  28913. }
  28914. },
  28915. {
  28916. "ph": "X",
  28917. "cat": "Op",
  28918. "name": "Conv2DBackpropFilter",
  28919. "pid": 15,
  28920. "tid": 3,
  28921. "ts": 1539815916998617,
  28922. "dur": 4412,
  28923. "args": {
  28924. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  28925. "op": "Conv2DBackpropFilter"
  28926. }
  28927. },
  28928. {
  28929. "ph": "X",
  28930. "cat": "Op",
  28931. "name": "Conv2DBackpropFilter",
  28932. "pid": 15,
  28933. "tid": 0,
  28934. "ts": 1539815917003041,
  28935. "dur": 4,
  28936. "args": {
  28937. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  28938. "op": "Conv2DBackpropFilter"
  28939. }
  28940. },
  28941. {
  28942. "ph": "X",
  28943. "cat": "Op",
  28944. "name": "Conv2DBackpropFilter",
  28945. "pid": 15,
  28946. "tid": 0,
  28947. "ts": 1539815917003090,
  28948. "dur": 9,
  28949. "args": {
  28950. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  28951. "op": "Conv2DBackpropFilter"
  28952. }
  28953. },
  28954. {
  28955. "ph": "X",
  28956. "cat": "Op",
  28957. "name": "Conv2DBackpropFilter",
  28958. "pid": 15,
  28959. "tid": 1,
  28960. "ts": 1539815917003094,
  28961. "dur": 4,
  28962. "args": {
  28963. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  28964. "op": "Conv2DBackpropFilter"
  28965. }
  28966. },
  28967. {
  28968. "ph": "X",
  28969. "cat": "Op",
  28970. "name": "Conv2DBackpropFilter",
  28971. "pid": 15,
  28972. "tid": 0,
  28973. "ts": 1539815917003104,
  28974. "dur": 4,
  28975. "args": {
  28976. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  28977. "op": "Conv2DBackpropFilter"
  28978. }
  28979. },
  28980. {
  28981. "ph": "X",
  28982. "cat": "Op",
  28983. "name": "Conv2DBackpropFilter",
  28984. "pid": 15,
  28985. "tid": 1,
  28986. "ts": 1539815917003104,
  28987. "dur": 4,
  28988. "args": {
  28989. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  28990. "op": "Conv2DBackpropFilter"
  28991. }
  28992. },
  28993. {
  28994. "ph": "X",
  28995. "cat": "Op",
  28996. "name": "Conv2DBackpropFilter",
  28997. "pid": 15,
  28998. "tid": 2,
  28999. "ts": 1539815917003106,
  29000. "dur": 3,
  29001. "args": {
  29002. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29003. "op": "Conv2DBackpropFilter"
  29004. }
  29005. },
  29006. {
  29007. "ph": "X",
  29008. "cat": "Op",
  29009. "name": "Conv2DBackpropFilter",
  29010. "pid": 15,
  29011. "tid": 3,
  29012. "ts": 1539815917003107,
  29013. "dur": 9,
  29014. "args": {
  29015. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29016. "op": "Conv2DBackpropFilter"
  29017. }
  29018. },
  29019. {
  29020. "ph": "X",
  29021. "cat": "Op",
  29022. "name": "Conv2DBackpropFilter",
  29023. "pid": 15,
  29024. "tid": 0,
  29025. "ts": 1539815917003121,
  29026. "dur": 4,
  29027. "args": {
  29028. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29029. "op": "Conv2DBackpropFilter"
  29030. }
  29031. },
  29032. {
  29033. "ph": "X",
  29034. "cat": "Op",
  29035. "name": "Conv2DBackpropFilter",
  29036. "pid": 15,
  29037. "tid": 1,
  29038. "ts": 1539815917003121,
  29039. "dur": 1682,
  29040. "args": {
  29041. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29042. "op": "Conv2DBackpropFilter"
  29043. }
  29044. },
  29045. {
  29046. "ph": "X",
  29047. "cat": "Op",
  29048. "name": "Conv2DBackpropFilter",
  29049. "pid": 15,
  29050. "tid": 2,
  29051. "ts": 1539815917003123,
  29052. "dur": 9,
  29053. "args": {
  29054. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29055. "op": "Conv2DBackpropFilter"
  29056. }
  29057. },
  29058. {
  29059. "ph": "X",
  29060. "cat": "Op",
  29061. "name": "Conv2DBackpropFilter",
  29062. "pid": 15,
  29063. "tid": 0,
  29064. "ts": 1539815917003133,
  29065. "dur": 1682,
  29066. "args": {
  29067. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29068. "op": "Conv2DBackpropFilter"
  29069. }
  29070. },
  29071. {
  29072. "ph": "X",
  29073. "cat": "Op",
  29074. "name": "Conv2DBackpropFilter",
  29075. "pid": 15,
  29076. "tid": 2,
  29077. "ts": 1539815917003134,
  29078. "dur": 9,
  29079. "args": {
  29080. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29081. "op": "Conv2DBackpropFilter"
  29082. }
  29083. },
  29084. {
  29085. "ph": "X",
  29086. "cat": "Op",
  29087. "name": "Conv2DBackpropFilter",
  29088. "pid": 15,
  29089. "tid": 3,
  29090. "ts": 1539815917003137,
  29091. "dur": 3,
  29092. "args": {
  29093. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29094. "op": "Conv2DBackpropFilter"
  29095. }
  29096. },
  29097. {
  29098. "ph": "X",
  29099. "cat": "Op",
  29100. "name": "Conv2DBackpropFilter",
  29101. "pid": 15,
  29102. "tid": 2,
  29103. "ts": 1539815917003148,
  29104. "dur": 4,
  29105. "args": {
  29106. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29107. "op": "Conv2DBackpropFilter"
  29108. }
  29109. },
  29110. {
  29111. "ph": "X",
  29112. "cat": "Op",
  29113. "name": "Conv2DBackpropFilter",
  29114. "pid": 15,
  29115. "tid": 3,
  29116. "ts": 1539815917003150,
  29117. "dur": 1681,
  29118. "args": {
  29119. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29120. "op": "Conv2DBackpropFilter"
  29121. }
  29122. },
  29123. {
  29124. "ph": "X",
  29125. "cat": "Op",
  29126. "name": "Conv2DBackpropFilter",
  29127. "pid": 15,
  29128. "tid": 2,
  29129. "ts": 1539815917003162,
  29130. "dur": 1689,
  29131. "args": {
  29132. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29133. "op": "Conv2DBackpropFilter"
  29134. }
  29135. },
  29136. {
  29137. "ph": "X",
  29138. "cat": "Op",
  29139. "name": "Conv2DBackpropFilter",
  29140. "pid": 15,
  29141. "tid": 0,
  29142. "ts": 1539815917004877,
  29143. "dur": 4,
  29144. "args": {
  29145. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29146. "op": "Conv2DBackpropFilter"
  29147. }
  29148. },
  29149. {
  29150. "ph": "X",
  29151. "cat": "Op",
  29152. "name": "Conv2DBackpropFilter",
  29153. "pid": 15,
  29154. "tid": 0,
  29155. "ts": 1539815917004889,
  29156. "dur": 4,
  29157. "args": {
  29158. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29159. "op": "Conv2DBackpropFilter"
  29160. }
  29161. },
  29162. {
  29163. "ph": "X",
  29164. "cat": "Op",
  29165. "name": "Conv2DBackpropFilter",
  29166. "pid": 15,
  29167. "tid": 0,
  29168. "ts": 1539815917004895,
  29169. "dur": 4,
  29170. "args": {
  29171. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29172. "op": "Conv2DBackpropFilter"
  29173. }
  29174. },
  29175. {
  29176. "ph": "X",
  29177. "cat": "Op",
  29178. "name": "Conv2DBackpropFilter",
  29179. "pid": 15,
  29180. "tid": 1,
  29181. "ts": 1539815917004895,
  29182. "dur": 8,
  29183. "args": {
  29184. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29185. "op": "Conv2DBackpropFilter"
  29186. }
  29187. },
  29188. {
  29189. "ph": "X",
  29190. "cat": "Op",
  29191. "name": "Conv2DBackpropFilter",
  29192. "pid": 15,
  29193. "tid": 0,
  29194. "ts": 1539815917004900,
  29195. "dur": 8,
  29196. "args": {
  29197. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29198. "op": "Conv2DBackpropFilter"
  29199. }
  29200. },
  29201. {
  29202. "ph": "X",
  29203. "cat": "Op",
  29204. "name": "Conv2DBackpropFilter",
  29205. "pid": 15,
  29206. "tid": 1,
  29207. "ts": 1539815917004907,
  29208. "dur": 8,
  29209. "args": {
  29210. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29211. "op": "Conv2DBackpropFilter"
  29212. }
  29213. },
  29214. {
  29215. "ph": "X",
  29216. "cat": "Op",
  29217. "name": "Conv2DBackpropFilter",
  29218. "pid": 15,
  29219. "tid": 0,
  29220. "ts": 1539815917004910,
  29221. "dur": 4,
  29222. "args": {
  29223. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29224. "op": "Conv2DBackpropFilter"
  29225. }
  29226. },
  29227. {
  29228. "ph": "X",
  29229. "cat": "Op",
  29230. "name": "Conv2DBackpropFilter",
  29231. "pid": 15,
  29232. "tid": 2,
  29233. "ts": 1539815917004912,
  29234. "dur": 4,
  29235. "args": {
  29236. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29237. "op": "Conv2DBackpropFilter"
  29238. }
  29239. },
  29240. {
  29241. "ph": "X",
  29242. "cat": "Op",
  29243. "name": "Conv2DBackpropFilter",
  29244. "pid": 15,
  29245. "tid": 3,
  29246. "ts": 1539815917004914,
  29247. "dur": 4,
  29248. "args": {
  29249. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29250. "op": "Conv2DBackpropFilter"
  29251. }
  29252. },
  29253. {
  29254. "ph": "X",
  29255. "cat": "Op",
  29256. "name": "Conv2DBackpropFilter",
  29257. "pid": 15,
  29258. "tid": 0,
  29259. "ts": 1539815917004919,
  29260. "dur": 3,
  29261. "args": {
  29262. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29263. "op": "Conv2DBackpropFilter"
  29264. }
  29265. },
  29266. {
  29267. "ph": "X",
  29268. "cat": "Op",
  29269. "name": "Conv2DBackpropFilter",
  29270. "pid": 15,
  29271. "tid": 1,
  29272. "ts": 1539815917004919,
  29273. "dur": 1682,
  29274. "args": {
  29275. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29276. "op": "Conv2DBackpropFilter"
  29277. }
  29278. },
  29279. {
  29280. "ph": "X",
  29281. "cat": "Op",
  29282. "name": "Conv2DBackpropFilter",
  29283. "pid": 15,
  29284. "tid": 2,
  29285. "ts": 1539815917004921,
  29286. "dur": 1687,
  29287. "args": {
  29288. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29289. "op": "Conv2DBackpropFilter"
  29290. }
  29291. },
  29292. {
  29293. "ph": "X",
  29294. "cat": "Op",
  29295. "name": "Conv2DBackpropFilter",
  29296. "pid": 15,
  29297. "tid": 0,
  29298. "ts": 1539815917004926,
  29299. "dur": 8,
  29300. "args": {
  29301. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29302. "op": "Conv2DBackpropFilter"
  29303. }
  29304. },
  29305. {
  29306. "ph": "X",
  29307. "cat": "Op",
  29308. "name": "Conv2DBackpropFilter",
  29309. "pid": 15,
  29310. "tid": 3,
  29311. "ts": 1539815917004927,
  29312. "dur": 1681,
  29313. "args": {
  29314. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29315. "op": "Conv2DBackpropFilter"
  29316. }
  29317. },
  29318. {
  29319. "ph": "X",
  29320. "cat": "Op",
  29321. "name": "Conv2DBackpropFilter",
  29322. "pid": 15,
  29323. "tid": 0,
  29324. "ts": 1539815917004938,
  29325. "dur": 3,
  29326. "args": {
  29327. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29328. "op": "Conv2DBackpropFilter"
  29329. }
  29330. },
  29331. {
  29332. "ph": "X",
  29333. "cat": "Op",
  29334. "name": "Conv2DBackpropFilter",
  29335. "pid": 15,
  29336. "tid": 0,
  29337. "ts": 1539815917004944,
  29338. "dur": 1681,
  29339. "args": {
  29340. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29341. "op": "Conv2DBackpropFilter"
  29342. }
  29343. },
  29344. {
  29345. "ph": "X",
  29346. "cat": "Op",
  29347. "name": "Conv2DBackpropFilter",
  29348. "pid": 15,
  29349. "tid": 0,
  29350. "ts": 1539815917006653,
  29351. "dur": 110,
  29352. "args": {
  29353. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29354. "op": "Conv2DBackpropFilter"
  29355. }
  29356. },
  29357. {
  29358. "ph": "X",
  29359. "cat": "Op",
  29360. "name": "Conv2DBackpropFilter",
  29361. "pid": 15,
  29362. "tid": 1,
  29363. "ts": 1539815917006658,
  29364. "dur": 111,
  29365. "args": {
  29366. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29367. "op": "Conv2DBackpropFilter"
  29368. }
  29369. },
  29370. {
  29371. "ph": "X",
  29372. "cat": "Op",
  29373. "name": "Conv2DBackpropFilter",
  29374. "pid": 15,
  29375. "tid": 2,
  29376. "ts": 1539815917006660,
  29377. "dur": 111,
  29378. "args": {
  29379. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29380. "op": "Conv2DBackpropFilter"
  29381. }
  29382. },
  29383. {
  29384. "ph": "X",
  29385. "cat": "Op",
  29386. "name": "Conv2DBackpropFilter",
  29387. "pid": 15,
  29388. "tid": 0,
  29389. "ts": 1539815917006847,
  29390. "dur": 140,
  29391. "args": {
  29392. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29393. "op": "Conv2DBackpropFilter"
  29394. }
  29395. },
  29396. {
  29397. "ph": "X",
  29398. "cat": "Op",
  29399. "name": "Conv2DBackpropFilter",
  29400. "pid": 15,
  29401. "tid": 1,
  29402. "ts": 1539815917006853,
  29403. "dur": 139,
  29404. "args": {
  29405. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29406. "op": "Conv2DBackpropFilter"
  29407. }
  29408. },
  29409. {
  29410. "ph": "X",
  29411. "cat": "Op",
  29412. "name": "Conv2DBackpropFilter",
  29413. "pid": 15,
  29414. "tid": 2,
  29415. "ts": 1539815917006857,
  29416. "dur": 138,
  29417. "args": {
  29418. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29419. "op": "Conv2DBackpropFilter"
  29420. }
  29421. },
  29422. {
  29423. "ph": "X",
  29424. "cat": "Op",
  29425. "name": "Conv2DBackpropFilter",
  29426. "pid": 15,
  29427. "tid": 3,
  29428. "ts": 1539815917006767,
  29429. "dur": 75,
  29430. "args": {
  29431. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29432. "op": "Conv2DBackpropFilter"
  29433. }
  29434. },
  29435. {
  29436. "ph": "X",
  29437. "cat": "Op",
  29438. "name": "Conv2DBackpropFilter",
  29439. "pid": 15,
  29440. "tid": 4,
  29441. "ts": 1539815917006676,
  29442. "dur": 110,
  29443. "args": {
  29444. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29445. "op": "Conv2DBackpropFilter"
  29446. }
  29447. },
  29448. {
  29449. "ph": "X",
  29450. "cat": "Op",
  29451. "name": "Conv2DBackpropFilter",
  29452. "pid": 15,
  29453. "tid": 5,
  29454. "ts": 1539815917006773,
  29455. "dur": 76,
  29456. "args": {
  29457. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29458. "op": "Conv2DBackpropFilter"
  29459. }
  29460. },
  29461. {
  29462. "ph": "X",
  29463. "cat": "Op",
  29464. "name": "Conv2DBackpropFilter",
  29465. "pid": 15,
  29466. "tid": 6,
  29467. "ts": 1539815917006775,
  29468. "dur": 77,
  29469. "args": {
  29470. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29471. "op": "Conv2DBackpropFilter"
  29472. }
  29473. },
  29474. {
  29475. "ph": "X",
  29476. "cat": "Op",
  29477. "name": "Conv2DBackpropFilter",
  29478. "pid": 15,
  29479. "tid": 3,
  29480. "ts": 1539815917006871,
  29481. "dur": 136,
  29482. "args": {
  29483. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29484. "op": "Conv2DBackpropFilter"
  29485. }
  29486. },
  29487. {
  29488. "ph": "X",
  29489. "cat": "Op",
  29490. "name": "Conv2DBackpropFilter",
  29491. "pid": 15,
  29492. "tid": 0,
  29493. "ts": 1539815917006997,
  29494. "dur": 4,
  29495. "args": {
  29496. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29497. "op": "Conv2DBackpropFilter"
  29498. }
  29499. },
  29500. {
  29501. "ph": "X",
  29502. "cat": "Op",
  29503. "name": "Conv2DBackpropFilter",
  29504. "pid": 15,
  29505. "tid": 1,
  29506. "ts": 1539815917006999,
  29507. "dur": 3,
  29508. "args": {
  29509. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29510. "op": "Conv2DBackpropFilter"
  29511. }
  29512. },
  29513. {
  29514. "ph": "X",
  29515. "cat": "Op",
  29516. "name": "Conv2DBackpropFilter",
  29517. "pid": 15,
  29518. "tid": 4,
  29519. "ts": 1539815917006991,
  29520. "dur": 4,
  29521. "args": {
  29522. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29523. "op": "Conv2DBackpropFilter"
  29524. }
  29525. },
  29526. {
  29527. "ph": "X",
  29528. "cat": "Op",
  29529. "name": "Conv2DBackpropFilter",
  29530. "pid": 15,
  29531. "tid": 7,
  29532. "ts": 1539815917006790,
  29533. "dur": 77,
  29534. "args": {
  29535. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29536. "op": "Conv2DBackpropFilter"
  29537. }
  29538. },
  29539. {
  29540. "ph": "X",
  29541. "cat": "Op",
  29542. "name": "Conv2DBackpropFilter",
  29543. "pid": 15,
  29544. "tid": 0,
  29545. "ts": 1539815917007004,
  29546. "dur": 797,
  29547. "args": {
  29548. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29549. "op": "Conv2DBackpropFilter"
  29550. }
  29551. },
  29552. {
  29553. "ph": "X",
  29554. "cat": "Op",
  29555. "name": "Conv2DBackpropFilter",
  29556. "pid": 15,
  29557. "tid": 1,
  29558. "ts": 1539815917007005,
  29559. "dur": 800,
  29560. "args": {
  29561. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29562. "op": "Conv2DBackpropFilter"
  29563. }
  29564. },
  29565. {
  29566. "ph": "X",
  29567. "cat": "Op",
  29568. "name": "Conv2DBackpropFilter",
  29569. "pid": 15,
  29570. "tid": 2,
  29571. "ts": 1539815917006999,
  29572. "dur": 794,
  29573. "args": {
  29574. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29575. "op": "Conv2DBackpropFilter"
  29576. }
  29577. },
  29578. {
  29579. "ph": "X",
  29580. "cat": "Op",
  29581. "name": "Conv2DBackpropFilter",
  29582. "pid": 15,
  29583. "tid": 0,
  29584. "ts": 1539815917007806,
  29585. "dur": 75,
  29586. "args": {
  29587. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29588. "op": "Conv2DBackpropFilter"
  29589. }
  29590. },
  29591. {
  29592. "ph": "X",
  29593. "cat": "Op",
  29594. "name": "Conv2DBackpropFilter",
  29595. "pid": 15,
  29596. "tid": 1,
  29597. "ts": 1539815917007809,
  29598. "dur": 74,
  29599. "args": {
  29600. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29601. "op": "Conv2DBackpropFilter"
  29602. }
  29603. },
  29604. {
  29605. "ph": "X",
  29606. "cat": "Op",
  29607. "name": "Conv2DBackpropFilter",
  29608. "pid": 15,
  29609. "tid": 3,
  29610. "ts": 1539815917007012,
  29611. "dur": 4,
  29612. "args": {
  29613. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29614. "op": "Conv2DBackpropFilter"
  29615. }
  29616. },
  29617. {
  29618. "ph": "X",
  29619. "cat": "Op",
  29620. "name": "Conv2DBackpropFilter",
  29621. "pid": 15,
  29622. "tid": 2,
  29623. "ts": 1539815917007796,
  29624. "dur": 75,
  29625. "args": {
  29626. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29627. "op": "Conv2DBackpropFilter"
  29628. }
  29629. },
  29630. {
  29631. "ph": "X",
  29632. "cat": "Op",
  29633. "name": "Conv2DBackpropFilter",
  29634. "pid": 15,
  29635. "tid": 3,
  29636. "ts": 1539815917007019,
  29637. "dur": 798,
  29638. "args": {
  29639. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29640. "op": "Conv2DBackpropFilter"
  29641. }
  29642. },
  29643. {
  29644. "ph": "X",
  29645. "cat": "Op",
  29646. "name": "Conv2DBackpropFilter",
  29647. "pid": 15,
  29648. "tid": 3,
  29649. "ts": 1539815917007823,
  29650. "dur": 75,
  29651. "args": {
  29652. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29653. "op": "Conv2DBackpropFilter"
  29654. }
  29655. },
  29656. {
  29657. "ph": "X",
  29658. "cat": "Op",
  29659. "name": "Conv2DBackpropFilter",
  29660. "pid": 15,
  29661. "tid": 0,
  29662. "ts": 1539815917007925,
  29663. "dur": 110,
  29664. "args": {
  29665. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29666. "op": "Conv2DBackpropFilter"
  29667. }
  29668. },
  29669. {
  29670. "ph": "X",
  29671. "cat": "Op",
  29672. "name": "Conv2DBackpropFilter",
  29673. "pid": 15,
  29674. "tid": 1,
  29675. "ts": 1539815917007934,
  29676. "dur": 111,
  29677. "args": {
  29678. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29679. "op": "Conv2DBackpropFilter"
  29680. }
  29681. },
  29682. {
  29683. "ph": "X",
  29684. "cat": "Op",
  29685. "name": "Conv2DBackpropFilter",
  29686. "pid": 15,
  29687. "tid": 0,
  29688. "ts": 1539815917008121,
  29689. "dur": 137,
  29690. "args": {
  29691. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29692. "op": "Conv2DBackpropFilter"
  29693. }
  29694. },
  29695. {
  29696. "ph": "X",
  29697. "cat": "Op",
  29698. "name": "Conv2DBackpropFilter",
  29699. "pid": 15,
  29700. "tid": 2,
  29701. "ts": 1539815917007944,
  29702. "dur": 111,
  29703. "args": {
  29704. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29705. "op": "Conv2DBackpropFilter"
  29706. }
  29707. },
  29708. {
  29709. "ph": "X",
  29710. "cat": "Op",
  29711. "name": "Conv2DBackpropFilter",
  29712. "pid": 15,
  29713. "tid": 1,
  29714. "ts": 1539815917008127,
  29715. "dur": 137,
  29716. "args": {
  29717. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29718. "op": "Conv2DBackpropFilter"
  29719. }
  29720. },
  29721. {
  29722. "ph": "X",
  29723. "cat": "Op",
  29724. "name": "Conv2DBackpropFilter",
  29725. "pid": 15,
  29726. "tid": 3,
  29727. "ts": 1539815917008040,
  29728. "dur": 76,
  29729. "args": {
  29730. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29731. "op": "Conv2DBackpropFilter"
  29732. }
  29733. },
  29734. {
  29735. "ph": "X",
  29736. "cat": "Op",
  29737. "name": "Conv2DBackpropFilter",
  29738. "pid": 15,
  29739. "tid": 4,
  29740. "ts": 1539815917007954,
  29741. "dur": 110,
  29742. "args": {
  29743. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29744. "op": "Conv2DBackpropFilter"
  29745. }
  29746. },
  29747. {
  29748. "ph": "X",
  29749. "cat": "Op",
  29750. "name": "Conv2DBackpropFilter",
  29751. "pid": 15,
  29752. "tid": 2,
  29753. "ts": 1539815917008141,
  29754. "dur": 136,
  29755. "args": {
  29756. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29757. "op": "Conv2DBackpropFilter"
  29758. }
  29759. },
  29760. {
  29761. "ph": "X",
  29762. "cat": "Op",
  29763. "name": "Conv2DBackpropFilter",
  29764. "pid": 15,
  29765. "tid": 0,
  29766. "ts": 1539815917008262,
  29767. "dur": 4,
  29768. "args": {
  29769. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29770. "op": "Conv2DBackpropFilter"
  29771. }
  29772. },
  29773. {
  29774. "ph": "X",
  29775. "cat": "Op",
  29776. "name": "Conv2DBackpropFilter",
  29777. "pid": 15,
  29778. "tid": 5,
  29779. "ts": 1539815917008048,
  29780. "dur": 74,
  29781. "args": {
  29782. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29783. "op": "Conv2DBackpropFilter"
  29784. }
  29785. },
  29786. {
  29787. "ph": "X",
  29788. "cat": "Op",
  29789. "name": "Conv2DBackpropFilter",
  29790. "pid": 15,
  29791. "tid": 3,
  29792. "ts": 1539815917008150,
  29793. "dur": 137,
  29794. "args": {
  29795. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29796. "op": "Conv2DBackpropFilter"
  29797. }
  29798. },
  29799. {
  29800. "ph": "X",
  29801. "cat": "Op",
  29802. "name": "Conv2DBackpropFilter",
  29803. "pid": 15,
  29804. "tid": 6,
  29805. "ts": 1539815917008059,
  29806. "dur": 77,
  29807. "args": {
  29808. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29809. "op": "Conv2DBackpropFilter"
  29810. }
  29811. },
  29812. {
  29813. "ph": "X",
  29814. "cat": "Op",
  29815. "name": "Conv2DBackpropFilter",
  29816. "pid": 15,
  29817. "tid": 0,
  29818. "ts": 1539815917008270,
  29819. "dur": 800,
  29820. "args": {
  29821. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29822. "op": "Conv2DBackpropFilter"
  29823. }
  29824. },
  29825. {
  29826. "ph": "X",
  29827. "cat": "Op",
  29828. "name": "Conv2DBackpropFilter",
  29829. "pid": 15,
  29830. "tid": 4,
  29831. "ts": 1539815917008067,
  29832. "dur": 78,
  29833. "args": {
  29834. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29835. "op": "Conv2DBackpropFilter"
  29836. }
  29837. },
  29838. {
  29839. "ph": "X",
  29840. "cat": "Op",
  29841. "name": "Conv2DBackpropFilter",
  29842. "pid": 15,
  29843. "tid": 1,
  29844. "ts": 1539815917008269,
  29845. "dur": 3,
  29846. "args": {
  29847. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29848. "op": "Conv2DBackpropFilter"
  29849. }
  29850. },
  29851. {
  29852. "ph": "X",
  29853. "cat": "Op",
  29854. "name": "Conv2DBackpropFilter",
  29855. "pid": 15,
  29856. "tid": 1,
  29857. "ts": 1539815917008281,
  29858. "dur": 4,
  29859. "args": {
  29860. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29861. "op": "Conv2DBackpropFilter"
  29862. }
  29863. },
  29864. {
  29865. "ph": "X",
  29866. "cat": "Op",
  29867. "name": "Conv2DBackpropFilter",
  29868. "pid": 15,
  29869. "tid": 0,
  29870. "ts": 1539815917009075,
  29871. "dur": 75,
  29872. "args": {
  29873. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29874. "op": "Conv2DBackpropFilter"
  29875. }
  29876. },
  29877. {
  29878. "ph": "X",
  29879. "cat": "Op",
  29880. "name": "Conv2DBackpropFilter",
  29881. "pid": 15,
  29882. "tid": 1,
  29883. "ts": 1539815917008292,
  29884. "dur": 4,
  29885. "args": {
  29886. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29887. "op": "Conv2DBackpropFilter"
  29888. }
  29889. },
  29890. {
  29891. "ph": "X",
  29892. "cat": "Op",
  29893. "name": "Conv2DBackpropFilter",
  29894. "pid": 15,
  29895. "tid": 4,
  29896. "ts": 1539815917008276,
  29897. "dur": 796,
  29898. "args": {
  29899. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29900. "op": "Conv2DBackpropFilter"
  29901. }
  29902. },
  29903. {
  29904. "ph": "X",
  29905. "cat": "Op",
  29906. "name": "Conv2DBackpropFilter",
  29907. "pid": 15,
  29908. "tid": 2,
  29909. "ts": 1539815917008288,
  29910. "dur": 800,
  29911. "args": {
  29912. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29913. "op": "Conv2DBackpropFilter"
  29914. }
  29915. },
  29916. {
  29917. "ph": "X",
  29918. "cat": "Op",
  29919. "name": "Conv2DBackpropFilter",
  29920. "pid": 15,
  29921. "tid": 1,
  29922. "ts": 1539815917008299,
  29923. "dur": 803,
  29924. "args": {
  29925. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29926. "op": "Conv2DBackpropFilter"
  29927. }
  29928. },
  29929. {
  29930. "ph": "X",
  29931. "cat": "Op",
  29932. "name": "Conv2DBackpropFilter",
  29933. "pid": 15,
  29934. "tid": 3,
  29935. "ts": 1539815917009077,
  29936. "dur": 75,
  29937. "args": {
  29938. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29939. "op": "Conv2DBackpropFilter"
  29940. }
  29941. },
  29942. {
  29943. "ph": "X",
  29944. "cat": "Op",
  29945. "name": "Conv2DBackpropFilter",
  29946. "pid": 15,
  29947. "tid": 2,
  29948. "ts": 1539815917009093,
  29949. "dur": 75,
  29950. "args": {
  29951. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29952. "op": "Conv2DBackpropFilter"
  29953. }
  29954. },
  29955. {
  29956. "ph": "X",
  29957. "cat": "Op",
  29958. "name": "Conv2DBackpropFilter",
  29959. "pid": 15,
  29960. "tid": 1,
  29961. "ts": 1539815917009107,
  29962. "dur": 75,
  29963. "args": {
  29964. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29965. "op": "Conv2DBackpropFilter"
  29966. }
  29967. },
  29968. {
  29969. "ph": "X",
  29970. "cat": "Op",
  29971. "name": "Conv2DBackpropFilter",
  29972. "pid": 15,
  29973. "tid": 0,
  29974. "ts": 1539815917009211,
  29975. "dur": 4,
  29976. "args": {
  29977. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29978. "op": "Conv2DBackpropFilter"
  29979. }
  29980. },
  29981. {
  29982. "ph": "X",
  29983. "cat": "Op",
  29984. "name": "Conv2DBackpropFilter",
  29985. "pid": 15,
  29986. "tid": 0,
  29987. "ts": 1539815917009217,
  29988. "dur": 3,
  29989. "args": {
  29990. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  29991. "op": "Conv2DBackpropFilter"
  29992. }
  29993. },
  29994. {
  29995. "ph": "X",
  29996. "cat": "Op",
  29997. "name": "Conv2DBackpropFilter",
  29998. "pid": 15,
  29999. "tid": 0,
  30000. "ts": 1539815917009223,
  30001. "dur": 8,
  30002. "args": {
  30003. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30004. "op": "Conv2DBackpropFilter"
  30005. }
  30006. },
  30007. {
  30008. "ph": "X",
  30009. "cat": "Op",
  30010. "name": "Conv2DBackpropFilter",
  30011. "pid": 15,
  30012. "tid": 1,
  30013. "ts": 1539815917009227,
  30014. "dur": 9,
  30015. "args": {
  30016. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30017. "op": "Conv2DBackpropFilter"
  30018. }
  30019. },
  30020. {
  30021. "ph": "X",
  30022. "cat": "Op",
  30023. "name": "Conv2DBackpropFilter",
  30024. "pid": 15,
  30025. "tid": 0,
  30026. "ts": 1539815917009236,
  30027. "dur": 3,
  30028. "args": {
  30029. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30030. "op": "Conv2DBackpropFilter"
  30031. }
  30032. },
  30033. {
  30034. "ph": "X",
  30035. "cat": "Op",
  30036. "name": "Conv2DBackpropFilter",
  30037. "pid": 15,
  30038. "tid": 2,
  30039. "ts": 1539815917009233,
  30040. "dur": 4,
  30041. "args": {
  30042. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30043. "op": "Conv2DBackpropFilter"
  30044. }
  30045. },
  30046. {
  30047. "ph": "X",
  30048. "cat": "Op",
  30049. "name": "Conv2DBackpropFilter",
  30050. "pid": 15,
  30051. "tid": 1,
  30052. "ts": 1539815917009239,
  30053. "dur": 4,
  30054. "args": {
  30055. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30056. "op": "Conv2DBackpropFilter"
  30057. }
  30058. },
  30059. {
  30060. "ph": "X",
  30061. "cat": "Op",
  30062. "name": "Conv2DBackpropFilter",
  30063. "pid": 15,
  30064. "tid": 0,
  30065. "ts": 1539815917009244,
  30066. "dur": 4,
  30067. "args": {
  30068. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30069. "op": "Conv2DBackpropFilter"
  30070. }
  30071. },
  30072. {
  30073. "ph": "X",
  30074. "cat": "Op",
  30075. "name": "Conv2DBackpropFilter",
  30076. "pid": 15,
  30077. "tid": 1,
  30078. "ts": 1539815917009245,
  30079. "dur": 9,
  30080. "args": {
  30081. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30082. "op": "Conv2DBackpropFilter"
  30083. }
  30084. },
  30085. {
  30086. "ph": "X",
  30087. "cat": "Op",
  30088. "name": "Conv2DBackpropFilter",
  30089. "pid": 15,
  30090. "tid": 0,
  30091. "ts": 1539815917009249,
  30092. "dur": 1681,
  30093. "args": {
  30094. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30095. "op": "Conv2DBackpropFilter"
  30096. }
  30097. },
  30098. {
  30099. "ph": "X",
  30100. "cat": "Op",
  30101. "name": "Conv2DBackpropFilter",
  30102. "pid": 15,
  30103. "tid": 2,
  30104. "ts": 1539815917009251,
  30105. "dur": 1678,
  30106. "args": {
  30107. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30108. "op": "Conv2DBackpropFilter"
  30109. }
  30110. },
  30111. {
  30112. "ph": "X",
  30113. "cat": "Op",
  30114. "name": "Conv2DBackpropFilter",
  30115. "pid": 15,
  30116. "tid": 3,
  30117. "ts": 1539815917009254,
  30118. "dur": 9,
  30119. "args": {
  30120. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30121. "op": "Conv2DBackpropFilter"
  30122. }
  30123. },
  30124. {
  30125. "ph": "X",
  30126. "cat": "Op",
  30127. "name": "Conv2DBackpropFilter",
  30128. "pid": 15,
  30129. "tid": 1,
  30130. "ts": 1539815917009257,
  30131. "dur": 4,
  30132. "args": {
  30133. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30134. "op": "Conv2DBackpropFilter"
  30135. }
  30136. },
  30137. {
  30138. "ph": "X",
  30139. "cat": "Op",
  30140. "name": "Conv2DBackpropFilter",
  30141. "pid": 15,
  30142. "tid": 1,
  30143. "ts": 1539815917009267,
  30144. "dur": 4,
  30145. "args": {
  30146. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30147. "op": "Conv2DBackpropFilter"
  30148. }
  30149. },
  30150. {
  30151. "ph": "X",
  30152. "cat": "Op",
  30153. "name": "Conv2DBackpropFilter",
  30154. "pid": 15,
  30155. "tid": 3,
  30156. "ts": 1539815917009267,
  30157. "dur": 1684,
  30158. "args": {
  30159. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30160. "op": "Conv2DBackpropFilter"
  30161. }
  30162. },
  30163. {
  30164. "ph": "X",
  30165. "cat": "Op",
  30166. "name": "Conv2DBackpropFilter",
  30167. "pid": 15,
  30168. "tid": 1,
  30169. "ts": 1539815917009276,
  30170. "dur": 1681,
  30171. "args": {
  30172. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30173. "op": "Conv2DBackpropFilter"
  30174. }
  30175. },
  30176. {
  30177. "ph": "X",
  30178. "cat": "Op",
  30179. "name": "Conv2DBackpropFilter",
  30180. "pid": 15,
  30181. "tid": 0,
  30182. "ts": 1539815917010992,
  30183. "dur": 4,
  30184. "args": {
  30185. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30186. "op": "Conv2DBackpropFilter"
  30187. }
  30188. },
  30189. {
  30190. "ph": "X",
  30191. "cat": "Op",
  30192. "name": "Conv2DBackpropFilter",
  30193. "pid": 15,
  30194. "tid": 1,
  30195. "ts": 1539815917010995,
  30196. "dur": 4,
  30197. "args": {
  30198. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30199. "op": "Conv2DBackpropFilter"
  30200. }
  30201. },
  30202. {
  30203. "ph": "X",
  30204. "cat": "Op",
  30205. "name": "Conv2DBackpropFilter",
  30206. "pid": 15,
  30207. "tid": 0,
  30208. "ts": 1539815917011004,
  30209. "dur": 8,
  30210. "args": {
  30211. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30212. "op": "Conv2DBackpropFilter"
  30213. }
  30214. },
  30215. {
  30216. "ph": "X",
  30217. "cat": "Op",
  30218. "name": "Conv2DBackpropFilter",
  30219. "pid": 15,
  30220. "tid": 1,
  30221. "ts": 1539815917011006,
  30222. "dur": 9,
  30223. "args": {
  30224. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30225. "op": "Conv2DBackpropFilter"
  30226. }
  30227. },
  30228. {
  30229. "ph": "X",
  30230. "cat": "Op",
  30231. "name": "Conv2DBackpropFilter",
  30232. "pid": 15,
  30233. "tid": 0,
  30234. "ts": 1539815917011015,
  30235. "dur": 4,
  30236. "args": {
  30237. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30238. "op": "Conv2DBackpropFilter"
  30239. }
  30240. },
  30241. {
  30242. "ph": "X",
  30243. "cat": "Op",
  30244. "name": "Conv2DBackpropFilter",
  30245. "pid": 15,
  30246. "tid": 2,
  30247. "ts": 1539815917011014,
  30248. "dur": 4,
  30249. "args": {
  30250. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30251. "op": "Conv2DBackpropFilter"
  30252. }
  30253. },
  30254. {
  30255. "ph": "X",
  30256. "cat": "Op",
  30257. "name": "Conv2DBackpropFilter",
  30258. "pid": 15,
  30259. "tid": 0,
  30260. "ts": 1539815917011023,
  30261. "dur": 1680,
  30262. "args": {
  30263. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30264. "op": "Conv2DBackpropFilter"
  30265. }
  30266. },
  30267. {
  30268. "ph": "X",
  30269. "cat": "Op",
  30270. "name": "Conv2DBackpropFilter",
  30271. "pid": 15,
  30272. "tid": 1,
  30273. "ts": 1539815917011025,
  30274. "dur": 4,
  30275. "args": {
  30276. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30277. "op": "Conv2DBackpropFilter"
  30278. }
  30279. },
  30280. {
  30281. "ph": "X",
  30282. "cat": "Op",
  30283. "name": "Conv2DBackpropFilter",
  30284. "pid": 15,
  30285. "tid": 1,
  30286. "ts": 1539815917011080,
  30287. "dur": 8,
  30288. "args": {
  30289. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30290. "op": "Conv2DBackpropFilter"
  30291. }
  30292. },
  30293. {
  30294. "ph": "X",
  30295. "cat": "Op",
  30296. "name": "Conv2DBackpropFilter",
  30297. "pid": 15,
  30298. "tid": 2,
  30299. "ts": 1539815917011025,
  30300. "dur": 8,
  30301. "args": {
  30302. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30303. "op": "Conv2DBackpropFilter"
  30304. }
  30305. },
  30306. {
  30307. "ph": "X",
  30308. "cat": "Op",
  30309. "name": "Conv2DBackpropFilter",
  30310. "pid": 15,
  30311. "tid": 3,
  30312. "ts": 1539815917011031,
  30313. "dur": 4,
  30314. "args": {
  30315. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30316. "op": "Conv2DBackpropFilter"
  30317. }
  30318. },
  30319. {
  30320. "ph": "X",
  30321. "cat": "Op",
  30322. "name": "Conv2DBackpropFilter",
  30323. "pid": 15,
  30324. "tid": 1,
  30325. "ts": 1539815917011098,
  30326. "dur": 3,
  30327. "args": {
  30328. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30329. "op": "Conv2DBackpropFilter"
  30330. }
  30331. },
  30332. {
  30333. "ph": "X",
  30334. "cat": "Op",
  30335. "name": "Conv2DBackpropFilter",
  30336. "pid": 15,
  30337. "tid": 1,
  30338. "ts": 1539815917011102,
  30339. "dur": 4,
  30340. "args": {
  30341. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30342. "op": "Conv2DBackpropFilter"
  30343. }
  30344. },
  30345. {
  30346. "ph": "X",
  30347. "cat": "Op",
  30348. "name": "Conv2DBackpropFilter",
  30349. "pid": 15,
  30350. "tid": 1,
  30351. "ts": 1539815917011113,
  30352. "dur": 1683,
  30353. "args": {
  30354. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30355. "op": "Conv2DBackpropFilter"
  30356. }
  30357. },
  30358. {
  30359. "ph": "X",
  30360. "cat": "Op",
  30361. "name": "Conv2DBackpropFilter",
  30362. "pid": 15,
  30363. "tid": 2,
  30364. "ts": 1539815917011116,
  30365. "dur": 1685,
  30366. "args": {
  30367. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30368. "op": "Conv2DBackpropFilter"
  30369. }
  30370. },
  30371. {
  30372. "ph": "X",
  30373. "cat": "Op",
  30374. "name": "Conv2DBackpropFilter",
  30375. "pid": 15,
  30376. "tid": 3,
  30377. "ts": 1539815917011123,
  30378. "dur": 1680,
  30379. "args": {
  30380. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30381. "op": "Conv2DBackpropFilter"
  30382. }
  30383. },
  30384. {
  30385. "ph": "X",
  30386. "cat": "Op",
  30387. "name": "Conv2DBackpropFilter",
  30388. "pid": 15,
  30389. "tid": 0,
  30390. "ts": 1539815917012753,
  30391. "dur": 283,
  30392. "args": {
  30393. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30394. "op": "Conv2DBackpropFilter"
  30395. }
  30396. },
  30397. {
  30398. "ph": "X",
  30399. "cat": "Op",
  30400. "name": "Conv2DBackpropFilter",
  30401. "pid": 15,
  30402. "tid": 0,
  30403. "ts": 1539815917013040,
  30404. "dur": 144,
  30405. "args": {
  30406. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30407. "op": "Conv2DBackpropFilter"
  30408. }
  30409. },
  30410. {
  30411. "ph": "X",
  30412. "cat": "Op",
  30413. "name": "Conv2DBackpropFilter",
  30414. "pid": 15,
  30415. "tid": 0,
  30416. "ts": 1539815917013188,
  30417. "dur": 247,
  30418. "args": {
  30419. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30420. "op": "Conv2DBackpropFilter"
  30421. }
  30422. },
  30423. {
  30424. "ph": "X",
  30425. "cat": "Op",
  30426. "name": "Conv2DBackpropFilter",
  30427. "pid": 15,
  30428. "tid": 0,
  30429. "ts": 1539815917013439,
  30430. "dur": 72,
  30431. "args": {
  30432. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30433. "op": "Conv2DBackpropFilter"
  30434. }
  30435. },
  30436. {
  30437. "ph": "X",
  30438. "cat": "Op",
  30439. "name": "Conv2DBackpropFilter",
  30440. "pid": 15,
  30441. "tid": 1,
  30442. "ts": 1539815917012847,
  30443. "dur": 283,
  30444. "args": {
  30445. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30446. "op": "Conv2DBackpropFilter"
  30447. }
  30448. },
  30449. {
  30450. "ph": "X",
  30451. "cat": "Op",
  30452. "name": "Conv2DBackpropFilter",
  30453. "pid": 15,
  30454. "tid": 2,
  30455. "ts": 1539815917012854,
  30456. "dur": 283,
  30457. "args": {
  30458. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30459. "op": "Conv2DBackpropFilter"
  30460. }
  30461. },
  30462. {
  30463. "ph": "X",
  30464. "cat": "Op",
  30465. "name": "Conv2DBackpropFilter",
  30466. "pid": 15,
  30467. "tid": 3,
  30468. "ts": 1539815917012855,
  30469. "dur": 281,
  30470. "args": {
  30471. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30472. "op": "Conv2DBackpropFilter"
  30473. }
  30474. },
  30475. {
  30476. "ph": "X",
  30477. "cat": "Op",
  30478. "name": "Conv2DBackpropFilter",
  30479. "pid": 15,
  30480. "tid": 1,
  30481. "ts": 1539815917013134,
  30482. "dur": 143,
  30483. "args": {
  30484. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30485. "op": "Conv2DBackpropFilter"
  30486. }
  30487. },
  30488. {
  30489. "ph": "X",
  30490. "cat": "Op",
  30491. "name": "Conv2DBackpropFilter",
  30492. "pid": 15,
  30493. "tid": 2,
  30494. "ts": 1539815917013140,
  30495. "dur": 144,
  30496. "args": {
  30497. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30498. "op": "Conv2DBackpropFilter"
  30499. }
  30500. },
  30501. {
  30502. "ph": "X",
  30503. "cat": "Op",
  30504. "name": "Conv2DBackpropFilter",
  30505. "pid": 15,
  30506. "tid": 3,
  30507. "ts": 1539815917013141,
  30508. "dur": 144,
  30509. "args": {
  30510. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30511. "op": "Conv2DBackpropFilter"
  30512. }
  30513. },
  30514. {
  30515. "ph": "X",
  30516. "cat": "Op",
  30517. "name": "Conv2DBackpropFilter",
  30518. "pid": 15,
  30519. "tid": 1,
  30520. "ts": 1539815917013281,
  30521. "dur": 269,
  30522. "args": {
  30523. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30524. "op": "Conv2DBackpropFilter"
  30525. }
  30526. },
  30527. {
  30528. "ph": "X",
  30529. "cat": "Op",
  30530. "name": "Conv2DBackpropFilter",
  30531. "pid": 15,
  30532. "tid": 2,
  30533. "ts": 1539815917013289,
  30534. "dur": 270,
  30535. "args": {
  30536. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30537. "op": "Conv2DBackpropFilter"
  30538. }
  30539. },
  30540. {
  30541. "ph": "X",
  30542. "cat": "Op",
  30543. "name": "Conv2DBackpropFilter",
  30544. "pid": 15,
  30545. "tid": 0,
  30546. "ts": 1539815917013562,
  30547. "dur": 74,
  30548. "args": {
  30549. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30550. "op": "Conv2DBackpropFilter"
  30551. }
  30552. },
  30553. {
  30554. "ph": "X",
  30555. "cat": "Op",
  30556. "name": "Conv2DBackpropFilter",
  30557. "pid": 15,
  30558. "tid": 1,
  30559. "ts": 1539815917013555,
  30560. "dur": 74,
  30561. "args": {
  30562. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30563. "op": "Conv2DBackpropFilter"
  30564. }
  30565. },
  30566. {
  30567. "ph": "X",
  30568. "cat": "Op",
  30569. "name": "Conv2DBackpropFilter",
  30570. "pid": 15,
  30571. "tid": 3,
  30572. "ts": 1539815917013288,
  30573. "dur": 245,
  30574. "args": {
  30575. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30576. "op": "Conv2DBackpropFilter"
  30577. }
  30578. },
  30579. {
  30580. "ph": "X",
  30581. "cat": "Op",
  30582. "name": "Conv2DBackpropFilter",
  30583. "pid": 15,
  30584. "tid": 3,
  30585. "ts": 1539815917013537,
  30586. "dur": 72,
  30587. "args": {
  30588. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30589. "op": "Conv2DBackpropFilter"
  30590. }
  30591. },
  30592. {
  30593. "ph": "X",
  30594. "cat": "Op",
  30595. "name": "Conv2DBackpropFilter",
  30596. "pid": 15,
  30597. "tid": 4,
  30598. "ts": 1539815917013558,
  30599. "dur": 282,
  30600. "args": {
  30601. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30602. "op": "Conv2DBackpropFilter"
  30603. }
  30604. },
  30605. {
  30606. "ph": "X",
  30607. "cat": "Op",
  30608. "name": "Conv2DBackpropFilter",
  30609. "pid": 15,
  30610. "tid": 0,
  30611. "ts": 1539815917013844,
  30612. "dur": 143,
  30613. "args": {
  30614. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30615. "op": "Conv2DBackpropFilter"
  30616. }
  30617. },
  30618. {
  30619. "ph": "X",
  30620. "cat": "Op",
  30621. "name": "Conv2DBackpropFilter",
  30622. "pid": 15,
  30623. "tid": 0,
  30624. "ts": 1539815917013992,
  30625. "dur": 246,
  30626. "args": {
  30627. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30628. "op": "Conv2DBackpropFilter"
  30629. }
  30630. },
  30631. {
  30632. "ph": "X",
  30633. "cat": "Op",
  30634. "name": "Conv2DBackpropFilter",
  30635. "pid": 15,
  30636. "tid": 0,
  30637. "ts": 1539815917014242,
  30638. "dur": 74,
  30639. "args": {
  30640. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30641. "op": "Conv2DBackpropFilter"
  30642. }
  30643. },
  30644. {
  30645. "ph": "X",
  30646. "cat": "Op",
  30647. "name": "Conv2DBackpropFilter",
  30648. "pid": 15,
  30649. "tid": 1,
  30650. "ts": 1539815917013658,
  30651. "dur": 282,
  30652. "args": {
  30653. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30654. "op": "Conv2DBackpropFilter"
  30655. }
  30656. },
  30657. {
  30658. "ph": "X",
  30659. "cat": "Op",
  30660. "name": "Conv2DBackpropFilter",
  30661. "pid": 15,
  30662. "tid": 1,
  30663. "ts": 1539815917013943,
  30664. "dur": 144,
  30665. "args": {
  30666. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30667. "op": "Conv2DBackpropFilter"
  30668. }
  30669. },
  30670. {
  30671. "ph": "X",
  30672. "cat": "Op",
  30673. "name": "Conv2DBackpropFilter",
  30674. "pid": 15,
  30675. "tid": 2,
  30676. "ts": 1539815917013676,
  30677. "dur": 283,
  30678. "args": {
  30679. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30680. "op": "Conv2DBackpropFilter"
  30681. }
  30682. },
  30683. {
  30684. "ph": "X",
  30685. "cat": "Op",
  30686. "name": "Conv2DBackpropFilter",
  30687. "pid": 15,
  30688. "tid": 1,
  30689. "ts": 1539815917014091,
  30690. "dur": 269,
  30691. "args": {
  30692. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30693. "op": "Conv2DBackpropFilter"
  30694. }
  30695. },
  30696. {
  30697. "ph": "X",
  30698. "cat": "Op",
  30699. "name": "Conv2DBackpropFilter",
  30700. "pid": 15,
  30701. "tid": 2,
  30702. "ts": 1539815917013963,
  30703. "dur": 144,
  30704. "args": {
  30705. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30706. "op": "Conv2DBackpropFilter"
  30707. }
  30708. },
  30709. {
  30710. "ph": "X",
  30711. "cat": "Op",
  30712. "name": "Conv2DBackpropFilter",
  30713. "pid": 15,
  30714. "tid": 0,
  30715. "ts": 1539815917014363,
  30716. "dur": 73,
  30717. "args": {
  30718. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30719. "op": "Conv2DBackpropFilter"
  30720. }
  30721. },
  30722. {
  30723. "ph": "X",
  30724. "cat": "Op",
  30725. "name": "Conv2DBackpropFilter",
  30726. "pid": 15,
  30727. "tid": 3,
  30728. "ts": 1539815917013697,
  30729. "dur": 283,
  30730. "args": {
  30731. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30732. "op": "Conv2DBackpropFilter"
  30733. }
  30734. },
  30735. {
  30736. "ph": "X",
  30737. "cat": "Op",
  30738. "name": "Conv2DBackpropFilter",
  30739. "pid": 15,
  30740. "tid": 2,
  30741. "ts": 1539815917014111,
  30742. "dur": 244,
  30743. "args": {
  30744. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30745. "op": "Conv2DBackpropFilter"
  30746. }
  30747. },
  30748. {
  30749. "ph": "X",
  30750. "cat": "Op",
  30751. "name": "Conv2DBackpropFilter",
  30752. "pid": 15,
  30753. "tid": 3,
  30754. "ts": 1539815917013984,
  30755. "dur": 143,
  30756. "args": {
  30757. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30758. "op": "Conv2DBackpropFilter"
  30759. }
  30760. },
  30761. {
  30762. "ph": "X",
  30763. "cat": "Op",
  30764. "name": "Conv2DBackpropFilter",
  30765. "pid": 15,
  30766. "tid": 2,
  30767. "ts": 1539815917014359,
  30768. "dur": 74,
  30769. "args": {
  30770. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30771. "op": "Conv2DBackpropFilter"
  30772. }
  30773. },
  30774. {
  30775. "ph": "X",
  30776. "cat": "Op",
  30777. "name": "Conv2DBackpropFilter",
  30778. "pid": 15,
  30779. "tid": 3,
  30780. "ts": 1539815917014132,
  30781. "dur": 246,
  30782. "args": {
  30783. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30784. "op": "Conv2DBackpropFilter"
  30785. }
  30786. },
  30787. {
  30788. "ph": "X",
  30789. "cat": "Op",
  30790. "name": "Conv2DBackpropFilter",
  30791. "pid": 15,
  30792. "tid": 1,
  30793. "ts": 1539815917014382,
  30794. "dur": 72,
  30795. "args": {
  30796. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30797. "op": "Conv2DBackpropFilter"
  30798. }
  30799. },
  30800. {
  30801. "ph": "X",
  30802. "cat": "Op",
  30803. "name": "Conv2DBackpropFilter",
  30804. "pid": 15,
  30805. "tid": 4,
  30806. "ts": 1539815917014357,
  30807. "dur": 283,
  30808. "args": {
  30809. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30810. "op": "Conv2DBackpropFilter"
  30811. }
  30812. },
  30813. {
  30814. "ph": "X",
  30815. "cat": "Op",
  30816. "name": "Conv2DBackpropFilter",
  30817. "pid": 15,
  30818. "tid": 0,
  30819. "ts": 1539815917014648,
  30820. "dur": 144,
  30821. "args": {
  30822. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30823. "op": "Conv2DBackpropFilter"
  30824. }
  30825. },
  30826. {
  30827. "ph": "X",
  30828. "cat": "Op",
  30829. "name": "Conv2DBackpropFilter",
  30830. "pid": 15,
  30831. "tid": 0,
  30832. "ts": 1539815917014796,
  30833. "dur": 246,
  30834. "args": {
  30835. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30836. "op": "Conv2DBackpropFilter"
  30837. }
  30838. },
  30839. {
  30840. "ph": "X",
  30841. "cat": "Op",
  30842. "name": "Conv2DBackpropFilter",
  30843. "pid": 15,
  30844. "tid": 0,
  30845. "ts": 1539815917015046,
  30846. "dur": 73,
  30847. "args": {
  30848. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30849. "op": "Conv2DBackpropFilter"
  30850. }
  30851. },
  30852. {
  30853. "ph": "X",
  30854. "cat": "Op",
  30855. "name": "Conv2DBackpropFilter",
  30856. "pid": 15,
  30857. "tid": 0,
  30858. "ts": 1539815917015123,
  30859. "dur": 22,
  30860. "args": {
  30861. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30862. "op": "Conv2DBackpropFilter"
  30863. }
  30864. },
  30865. {
  30866. "ph": "X",
  30867. "cat": "Op",
  30868. "name": "Conv2DBackpropInput",
  30869. "pid": 15,
  30870. "tid": 0,
  30871. "ts": 1539815917015150,
  30872. "dur": 22,
  30873. "args": {
  30874. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  30875. "op": "Conv2DBackpropInput"
  30876. }
  30877. },
  30878. {
  30879. "ph": "X",
  30880. "cat": "Op",
  30881. "name": "Conv2DBackpropFilter",
  30882. "pid": 15,
  30883. "tid": 1,
  30884. "ts": 1539815917014476,
  30885. "dur": 283,
  30886. "args": {
  30887. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30888. "op": "Conv2DBackpropFilter"
  30889. }
  30890. },
  30891. {
  30892. "ph": "X",
  30893. "cat": "Op",
  30894. "name": "Conv2DBackpropFilter",
  30895. "pid": 15,
  30896. "tid": 2,
  30897. "ts": 1539815917014480,
  30898. "dur": 282,
  30899. "args": {
  30900. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30901. "op": "Conv2DBackpropFilter"
  30902. }
  30903. },
  30904. {
  30905. "ph": "X",
  30906. "cat": "Op",
  30907. "name": "Conv2DBackpropFilter",
  30908. "pid": 15,
  30909. "tid": 1,
  30910. "ts": 1539815917014767,
  30911. "dur": 143,
  30912. "args": {
  30913. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30914. "op": "Conv2DBackpropFilter"
  30915. }
  30916. },
  30917. {
  30918. "ph": "X",
  30919. "cat": "Op",
  30920. "name": "Conv2DBackpropFilter",
  30921. "pid": 15,
  30922. "tid": 2,
  30923. "ts": 1539815917014770,
  30924. "dur": 143,
  30925. "args": {
  30926. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30927. "op": "Conv2DBackpropFilter"
  30928. }
  30929. },
  30930. {
  30931. "ph": "X",
  30932. "cat": "Op",
  30933. "name": "Conv2DBackpropFilter",
  30934. "pid": 15,
  30935. "tid": 1,
  30936. "ts": 1539815917014914,
  30937. "dur": 269,
  30938. "args": {
  30939. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30940. "op": "Conv2DBackpropFilter"
  30941. }
  30942. },
  30943. {
  30944. "ph": "X",
  30945. "cat": "Op",
  30946. "name": "Conv2DBackpropFilter",
  30947. "pid": 15,
  30948. "tid": 3,
  30949. "ts": 1539815917014498,
  30950. "dur": 282,
  30951. "args": {
  30952. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30953. "op": "Conv2DBackpropFilter"
  30954. }
  30955. },
  30956. {
  30957. "ph": "X",
  30958. "cat": "Op",
  30959. "name": "Conv2DBackpropFilter",
  30960. "pid": 15,
  30961. "tid": 2,
  30962. "ts": 1539815917014916,
  30963. "dur": 246,
  30964. "args": {
  30965. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30966. "op": "Conv2DBackpropFilter"
  30967. }
  30968. },
  30969. {
  30970. "ph": "X",
  30971. "cat": "Op",
  30972. "name": "Conv2DBackpropFilter",
  30973. "pid": 15,
  30974. "tid": 0,
  30975. "ts": 1539815917015188,
  30976. "dur": 74,
  30977. "args": {
  30978. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30979. "op": "Conv2DBackpropFilter"
  30980. }
  30981. },
  30982. {
  30983. "ph": "X",
  30984. "cat": "Op",
  30985. "name": "Conv2DBackpropFilter",
  30986. "pid": 15,
  30987. "tid": 2,
  30988. "ts": 1539815917015166,
  30989. "dur": 74,
  30990. "args": {
  30991. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  30992. "op": "Conv2DBackpropFilter"
  30993. }
  30994. },
  30995. {
  30996. "ph": "X",
  30997. "cat": "Op",
  30998. "name": "Conv2DBackpropFilter",
  30999. "pid": 15,
  31000. "tid": 3,
  31001. "ts": 1539815917014788,
  31002. "dur": 143,
  31003. "args": {
  31004. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  31005. "op": "Conv2DBackpropFilter"
  31006. }
  31007. },
  31008. {
  31009. "ph": "X",
  31010. "cat": "Op",
  31011. "name": "Conv2DBackpropFilter",
  31012. "pid": 15,
  31013. "tid": 0,
  31014. "ts": 1539815917015266,
  31015. "dur": 22,
  31016. "args": {
  31017. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  31018. "op": "Conv2DBackpropFilter"
  31019. }
  31020. },
  31021. {
  31022. "ph": "X",
  31023. "cat": "Op",
  31024. "name": "Conv2DBackpropFilter",
  31025. "pid": 15,
  31026. "tid": 1,
  31027. "ts": 1539815917015245,
  31028. "dur": 22,
  31029. "args": {
  31030. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  31031. "op": "Conv2DBackpropFilter"
  31032. }
  31033. },
  31034. {
  31035. "ph": "X",
  31036. "cat": "Op",
  31037. "name": "Conv2DBackpropFilter",
  31038. "pid": 15,
  31039. "tid": 3,
  31040. "ts": 1539815917014935,
  31041. "dur": 247,
  31042. "args": {
  31043. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  31044. "op": "Conv2DBackpropFilter"
  31045. }
  31046. },
  31047. {
  31048. "ph": "X",
  31049. "cat": "Op",
  31050. "name": "Conv2DBackpropInput",
  31051. "pid": 15,
  31052. "tid": 4,
  31053. "ts": 1539815917015180,
  31054. "dur": 13,
  31055. "args": {
  31056. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31057. "op": "Conv2DBackpropInput"
  31058. }
  31059. },
  31060. {
  31061. "ph": "X",
  31062. "cat": "Op",
  31063. "name": "Conv2DBackpropFilter",
  31064. "pid": 15,
  31065. "tid": 3,
  31066. "ts": 1539815917015186,
  31067. "dur": 75,
  31068. "args": {
  31069. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  31070. "op": "Conv2DBackpropFilter"
  31071. }
  31072. },
  31073. {
  31074. "ph": "X",
  31075. "cat": "Op",
  31076. "name": "Conv2DBackpropFilter",
  31077. "pid": 15,
  31078. "tid": 2,
  31079. "ts": 1539815917015265,
  31080. "dur": 22,
  31081. "args": {
  31082. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  31083. "op": "Conv2DBackpropFilter"
  31084. }
  31085. },
  31086. {
  31087. "ph": "X",
  31088. "cat": "Op",
  31089. "name": "Conv2DBackpropInput",
  31090. "pid": 15,
  31091. "tid": 4,
  31092. "ts": 1539815917015197,
  31093. "dur": 2384,
  31094. "args": {
  31095. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31096. "op": "Conv2DBackpropInput"
  31097. }
  31098. },
  31099. {
  31100. "ph": "X",
  31101. "cat": "Op",
  31102. "name": "Conv2DBackpropInput",
  31103. "pid": 15,
  31104. "tid": 0,
  31105. "ts": 1539815917015291,
  31106. "dur": 22,
  31107. "args": {
  31108. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31109. "op": "Conv2DBackpropInput"
  31110. }
  31111. },
  31112. {
  31113. "ph": "X",
  31114. "cat": "Op",
  31115. "name": "Conv2DBackpropInput",
  31116. "pid": 15,
  31117. "tid": 1,
  31118. "ts": 1539815917015270,
  31119. "dur": 22,
  31120. "args": {
  31121. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31122. "op": "Conv2DBackpropInput"
  31123. }
  31124. },
  31125. {
  31126. "ph": "X",
  31127. "cat": "Op",
  31128. "name": "Conv2DBackpropInput",
  31129. "pid": 15,
  31130. "tid": 2,
  31131. "ts": 1539815917015291,
  31132. "dur": 22,
  31133. "args": {
  31134. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31135. "op": "Conv2DBackpropInput"
  31136. }
  31137. },
  31138. {
  31139. "ph": "X",
  31140. "cat": "Op",
  31141. "name": "Conv2DBackpropInput",
  31142. "pid": 15,
  31143. "tid": 0,
  31144. "ts": 1539815917015320,
  31145. "dur": 14,
  31146. "args": {
  31147. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31148. "op": "Conv2DBackpropInput"
  31149. }
  31150. },
  31151. {
  31152. "ph": "X",
  31153. "cat": "Op",
  31154. "name": "Conv2DBackpropInput",
  31155. "pid": 15,
  31156. "tid": 1,
  31157. "ts": 1539815917015299,
  31158. "dur": 14,
  31159. "args": {
  31160. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31161. "op": "Conv2DBackpropInput"
  31162. }
  31163. },
  31164. {
  31165. "ph": "X",
  31166. "cat": "Op",
  31167. "name": "Conv2DBackpropInput",
  31168. "pid": 15,
  31169. "tid": 1,
  31170. "ts": 1539815917015319,
  31171. "dur": 14,
  31172. "args": {
  31173. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31174. "op": "Conv2DBackpropInput"
  31175. }
  31176. },
  31177. {
  31178. "ph": "X",
  31179. "cat": "Op",
  31180. "name": "Conv2DBackpropInput",
  31181. "pid": 15,
  31182. "tid": 0,
  31183. "ts": 1539815917015338,
  31184. "dur": 2370,
  31185. "args": {
  31186. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31187. "op": "Conv2DBackpropInput"
  31188. }
  31189. },
  31190. {
  31191. "ph": "X",
  31192. "cat": "Op",
  31193. "name": "Conv2DBackpropInput",
  31194. "pid": 15,
  31195. "tid": 2,
  31196. "ts": 1539815917015317,
  31197. "dur": 2378,
  31198. "args": {
  31199. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31200. "op": "Conv2DBackpropInput"
  31201. }
  31202. },
  31203. {
  31204. "ph": "X",
  31205. "cat": "Op",
  31206. "name": "Conv2DBackpropInput",
  31207. "pid": 15,
  31208. "tid": 1,
  31209. "ts": 1539815917015337,
  31210. "dur": 2379,
  31211. "args": {
  31212. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31213. "op": "Conv2DBackpropInput"
  31214. }
  31215. },
  31216. {
  31217. "ph": "X",
  31218. "cat": "Op",
  31219. "name": "Conv2DBackpropInput",
  31220. "pid": 15,
  31221. "tid": 3,
  31222. "ts": 1539815917017627,
  31223. "dur": 13,
  31224. "args": {
  31225. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31226. "op": "Conv2DBackpropInput"
  31227. }
  31228. },
  31229. {
  31230. "ph": "X",
  31231. "cat": "Op",
  31232. "name": "Conv2DBackpropInput",
  31233. "pid": 15,
  31234. "tid": 3,
  31235. "ts": 1539815917017649,
  31236. "dur": 2380,
  31237. "args": {
  31238. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31239. "op": "Conv2DBackpropInput"
  31240. }
  31241. },
  31242. {
  31243. "ph": "X",
  31244. "cat": "Op",
  31245. "name": "Conv2DBackpropInput",
  31246. "pid": 15,
  31247. "tid": 0,
  31248. "ts": 1539815917017737,
  31249. "dur": 14,
  31250. "args": {
  31251. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31252. "op": "Conv2DBackpropInput"
  31253. }
  31254. },
  31255. {
  31256. "ph": "X",
  31257. "cat": "Op",
  31258. "name": "Conv2DBackpropInput",
  31259. "pid": 15,
  31260. "tid": 0,
  31261. "ts": 1539815917017752,
  31262. "dur": 14,
  31263. "args": {
  31264. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31265. "op": "Conv2DBackpropInput"
  31266. }
  31267. },
  31268. {
  31269. "ph": "X",
  31270. "cat": "Op",
  31271. "name": "Conv2DBackpropInput",
  31272. "pid": 15,
  31273. "tid": 1,
  31274. "ts": 1539815917017759,
  31275. "dur": 14,
  31276. "args": {
  31277. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31278. "op": "Conv2DBackpropInput"
  31279. }
  31280. },
  31281. {
  31282. "ph": "X",
  31283. "cat": "Op",
  31284. "name": "Conv2DBackpropInput",
  31285. "pid": 15,
  31286. "tid": 2,
  31287. "ts": 1539815917017760,
  31288. "dur": 2378,
  31289. "args": {
  31290. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31291. "op": "Conv2DBackpropInput"
  31292. }
  31293. },
  31294. {
  31295. "ph": "X",
  31296. "cat": "Op",
  31297. "name": "Conv2DBackpropInput",
  31298. "pid": 15,
  31299. "tid": 0,
  31300. "ts": 1539815917017774,
  31301. "dur": 2373,
  31302. "args": {
  31303. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31304. "op": "Conv2DBackpropInput"
  31305. }
  31306. },
  31307. {
  31308. "ph": "X",
  31309. "cat": "Op",
  31310. "name": "Conv2DBackpropInput",
  31311. "pid": 15,
  31312. "tid": 1,
  31313. "ts": 1539815917017781,
  31314. "dur": 2379,
  31315. "args": {
  31316. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31317. "op": "Conv2DBackpropInput"
  31318. }
  31319. },
  31320. {
  31321. "ph": "X",
  31322. "cat": "Op",
  31323. "name": "Conv2DBackpropInput",
  31324. "pid": 15,
  31325. "tid": 3,
  31326. "ts": 1539815917020093,
  31327. "dur": 4,
  31328. "args": {
  31329. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31330. "op": "Conv2DBackpropInput"
  31331. }
  31332. },
  31333. {
  31334. "ph": "X",
  31335. "cat": "Op",
  31336. "name": "Conv2DBackpropInput",
  31337. "pid": 15,
  31338. "tid": 3,
  31339. "ts": 1539815917020105,
  31340. "dur": 3,
  31341. "args": {
  31342. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31343. "op": "Conv2DBackpropInput"
  31344. }
  31345. },
  31346. {
  31347. "ph": "X",
  31348. "cat": "Op",
  31349. "name": "Conv2DBackpropInput",
  31350. "pid": 15,
  31351. "tid": 3,
  31352. "ts": 1539815917020120,
  31353. "dur": 2534,
  31354. "args": {
  31355. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31356. "op": "Conv2DBackpropInput"
  31357. }
  31358. },
  31359. {
  31360. "ph": "X",
  31361. "cat": "Op",
  31362. "name": "Conv2DBackpropInput",
  31363. "pid": 15,
  31364. "tid": 0,
  31365. "ts": 1539815917020198,
  31366. "dur": 4,
  31367. "args": {
  31368. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31369. "op": "Conv2DBackpropInput"
  31370. }
  31371. },
  31372. {
  31373. "ph": "X",
  31374. "cat": "Op",
  31375. "name": "Conv2DBackpropInput",
  31376. "pid": 15,
  31377. "tid": 0,
  31378. "ts": 1539815917020208,
  31379. "dur": 4,
  31380. "args": {
  31381. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31382. "op": "Conv2DBackpropInput"
  31383. }
  31384. },
  31385. {
  31386. "ph": "X",
  31387. "cat": "Op",
  31388. "name": "Conv2DBackpropInput",
  31389. "pid": 15,
  31390. "tid": 1,
  31391. "ts": 1539815917020210,
  31392. "dur": 4,
  31393. "args": {
  31394. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31395. "op": "Conv2DBackpropInput"
  31396. }
  31397. },
  31398. {
  31399. "ph": "X",
  31400. "cat": "Op",
  31401. "name": "Conv2DBackpropInput",
  31402. "pid": 15,
  31403. "tid": 0,
  31404. "ts": 1539815917020222,
  31405. "dur": 3,
  31406. "args": {
  31407. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31408. "op": "Conv2DBackpropInput"
  31409. }
  31410. },
  31411. {
  31412. "ph": "X",
  31413. "cat": "Op",
  31414. "name": "Conv2DBackpropInput",
  31415. "pid": 15,
  31416. "tid": 1,
  31417. "ts": 1539815917020221,
  31418. "dur": 4,
  31419. "args": {
  31420. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31421. "op": "Conv2DBackpropInput"
  31422. }
  31423. },
  31424. {
  31425. "ph": "X",
  31426. "cat": "Op",
  31427. "name": "Conv2DBackpropInput",
  31428. "pid": 15,
  31429. "tid": 0,
  31430. "ts": 1539815917020234,
  31431. "dur": 2533,
  31432. "args": {
  31433. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31434. "op": "Conv2DBackpropInput"
  31435. }
  31436. },
  31437. {
  31438. "ph": "X",
  31439. "cat": "Op",
  31440. "name": "Conv2DBackpropInput",
  31441. "pid": 15,
  31442. "tid": 1,
  31443. "ts": 1539815917020236,
  31444. "dur": 4,
  31445. "args": {
  31446. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31447. "op": "Conv2DBackpropInput"
  31448. }
  31449. },
  31450. {
  31451. "ph": "X",
  31452. "cat": "Op",
  31453. "name": "Conv2DBackpropInput",
  31454. "pid": 15,
  31455. "tid": 2,
  31456. "ts": 1539815917020237,
  31457. "dur": 2533,
  31458. "args": {
  31459. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31460. "op": "Conv2DBackpropInput"
  31461. }
  31462. },
  31463. {
  31464. "ph": "X",
  31465. "cat": "Op",
  31466. "name": "Conv2DBackpropInput",
  31467. "pid": 15,
  31468. "tid": 1,
  31469. "ts": 1539815917020251,
  31470. "dur": 2533,
  31471. "args": {
  31472. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31473. "op": "Conv2DBackpropInput"
  31474. }
  31475. },
  31476. {
  31477. "ph": "X",
  31478. "cat": "Op",
  31479. "name": "Conv2DBackpropInput",
  31480. "pid": 15,
  31481. "tid": 3,
  31482. "ts": 1539815917022707,
  31483. "dur": 4,
  31484. "args": {
  31485. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31486. "op": "Conv2DBackpropInput"
  31487. }
  31488. },
  31489. {
  31490. "ph": "X",
  31491. "cat": "Op",
  31492. "name": "Conv2DBackpropInput",
  31493. "pid": 15,
  31494. "tid": 3,
  31495. "ts": 1539815917022718,
  31496. "dur": 4,
  31497. "args": {
  31498. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31499. "op": "Conv2DBackpropInput"
  31500. }
  31501. },
  31502. {
  31503. "ph": "X",
  31504. "cat": "Op",
  31505. "name": "Conv2DBackpropInput",
  31506. "pid": 15,
  31507. "tid": 3,
  31508. "ts": 1539815917022740,
  31509. "dur": 2534,
  31510. "args": {
  31511. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31512. "op": "Conv2DBackpropInput"
  31513. }
  31514. },
  31515. {
  31516. "ph": "X",
  31517. "cat": "Op",
  31518. "name": "Conv2DBackpropInput",
  31519. "pid": 15,
  31520. "tid": 0,
  31521. "ts": 1539815917022839,
  31522. "dur": 4,
  31523. "args": {
  31524. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31525. "op": "Conv2DBackpropInput"
  31526. }
  31527. },
  31528. {
  31529. "ph": "X",
  31530. "cat": "Op",
  31531. "name": "Conv2DBackpropInput",
  31532. "pid": 15,
  31533. "tid": 1,
  31534. "ts": 1539815917022843,
  31535. "dur": 4,
  31536. "args": {
  31537. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31538. "op": "Conv2DBackpropInput"
  31539. }
  31540. },
  31541. {
  31542. "ph": "X",
  31543. "cat": "Op",
  31544. "name": "Conv2DBackpropInput",
  31545. "pid": 15,
  31546. "tid": 0,
  31547. "ts": 1539815917022849,
  31548. "dur": 4,
  31549. "args": {
  31550. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31551. "op": "Conv2DBackpropInput"
  31552. }
  31553. },
  31554. {
  31555. "ph": "X",
  31556. "cat": "Op",
  31557. "name": "Conv2DBackpropInput",
  31558. "pid": 15,
  31559. "tid": 0,
  31560. "ts": 1539815917022854,
  31561. "dur": 3,
  31562. "args": {
  31563. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31564. "op": "Conv2DBackpropInput"
  31565. }
  31566. },
  31567. {
  31568. "ph": "X",
  31569. "cat": "Op",
  31570. "name": "Conv2DBackpropInput",
  31571. "pid": 15,
  31572. "tid": 1,
  31573. "ts": 1539815917022857,
  31574. "dur": 5,
  31575. "args": {
  31576. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31577. "op": "Conv2DBackpropInput"
  31578. }
  31579. },
  31580. {
  31581. "ph": "X",
  31582. "cat": "Op",
  31583. "name": "Conv2DBackpropInput",
  31584. "pid": 15,
  31585. "tid": 0,
  31586. "ts": 1539815917022862,
  31587. "dur": 2533,
  31588. "args": {
  31589. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31590. "op": "Conv2DBackpropInput"
  31591. }
  31592. },
  31593. {
  31594. "ph": "X",
  31595. "cat": "Op",
  31596. "name": "Conv2DBackpropInput",
  31597. "pid": 15,
  31598. "tid": 1,
  31599. "ts": 1539815917022868,
  31600. "dur": 2534,
  31601. "args": {
  31602. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31603. "op": "Conv2DBackpropInput"
  31604. }
  31605. },
  31606. {
  31607. "ph": "X",
  31608. "cat": "Op",
  31609. "name": "Conv2DBackpropInput",
  31610. "pid": 15,
  31611. "tid": 2,
  31612. "ts": 1539815917022875,
  31613. "dur": 3,
  31614. "args": {
  31615. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31616. "op": "Conv2DBackpropInput"
  31617. }
  31618. },
  31619. {
  31620. "ph": "X",
  31621. "cat": "Op",
  31622. "name": "Conv2DBackpropInput",
  31623. "pid": 15,
  31624. "tid": 2,
  31625. "ts": 1539815917022889,
  31626. "dur": 2533,
  31627. "args": {
  31628. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31629. "op": "Conv2DBackpropInput"
  31630. }
  31631. },
  31632. {
  31633. "ph": "X",
  31634. "cat": "Op",
  31635. "name": "Conv2DBackpropInput",
  31636. "pid": 15,
  31637. "tid": 3,
  31638. "ts": 1539815917025327,
  31639. "dur": 69,
  31640. "args": {
  31641. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31642. "op": "Conv2DBackpropInput"
  31643. }
  31644. },
  31645. {
  31646. "ph": "X",
  31647. "cat": "Op",
  31648. "name": "Conv2DBackpropInput",
  31649. "pid": 15,
  31650. "tid": 0,
  31651. "ts": 1539815917025400,
  31652. "dur": 130,
  31653. "args": {
  31654. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31655. "op": "Conv2DBackpropInput"
  31656. }
  31657. },
  31658. {
  31659. "ph": "X",
  31660. "cat": "Op",
  31661. "name": "Conv2DBackpropInput",
  31662. "pid": 15,
  31663. "tid": 0,
  31664. "ts": 1539815917025534,
  31665. "dur": 4,
  31666. "args": {
  31667. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31668. "op": "Conv2DBackpropInput"
  31669. }
  31670. },
  31671. {
  31672. "ph": "X",
  31673. "cat": "Op",
  31674. "name": "Conv2DBackpropInput",
  31675. "pid": 15,
  31676. "tid": 0,
  31677. "ts": 1539815917025541,
  31678. "dur": 798,
  31679. "args": {
  31680. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31681. "op": "Conv2DBackpropInput"
  31682. }
  31683. },
  31684. {
  31685. "ph": "X",
  31686. "cat": "Op",
  31687. "name": "Conv2DBackpropInput",
  31688. "pid": 15,
  31689. "tid": 0,
  31690. "ts": 1539815917026344,
  31691. "dur": 78,
  31692. "args": {
  31693. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31694. "op": "Conv2DBackpropInput"
  31695. }
  31696. },
  31697. {
  31698. "ph": "X",
  31699. "cat": "Op",
  31700. "name": "Conv2DBackpropInput",
  31701. "pid": 15,
  31702. "tid": 1,
  31703. "ts": 1539815917025445,
  31704. "dur": 70,
  31705. "args": {
  31706. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31707. "op": "Conv2DBackpropInput"
  31708. }
  31709. },
  31710. {
  31711. "ph": "X",
  31712. "cat": "Op",
  31713. "name": "Conv2DBackpropInput",
  31714. "pid": 15,
  31715. "tid": 2,
  31716. "ts": 1539815917025451,
  31717. "dur": 70,
  31718. "args": {
  31719. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31720. "op": "Conv2DBackpropInput"
  31721. }
  31722. },
  31723. {
  31724. "ph": "X",
  31725. "cat": "Op",
  31726. "name": "Conv2DBackpropInput",
  31727. "pid": 15,
  31728. "tid": 1,
  31729. "ts": 1539815917025519,
  31730. "dur": 129,
  31731. "args": {
  31732. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31733. "op": "Conv2DBackpropInput"
  31734. }
  31735. },
  31736. {
  31737. "ph": "X",
  31738. "cat": "Op",
  31739. "name": "Conv2DBackpropInput",
  31740. "pid": 15,
  31741. "tid": 2,
  31742. "ts": 1539815917025526,
  31743. "dur": 127,
  31744. "args": {
  31745. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31746. "op": "Conv2DBackpropInput"
  31747. }
  31748. },
  31749. {
  31750. "ph": "X",
  31751. "cat": "Op",
  31752. "name": "Conv2DBackpropInput",
  31753. "pid": 15,
  31754. "tid": 1,
  31755. "ts": 1539815917025652,
  31756. "dur": 4,
  31757. "args": {
  31758. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31759. "op": "Conv2DBackpropInput"
  31760. }
  31761. },
  31762. {
  31763. "ph": "X",
  31764. "cat": "Op",
  31765. "name": "Conv2DBackpropInput",
  31766. "pid": 15,
  31767. "tid": 3,
  31768. "ts": 1539815917025473,
  31769. "dur": 70,
  31770. "args": {
  31771. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31772. "op": "Conv2DBackpropInput"
  31773. }
  31774. },
  31775. {
  31776. "ph": "X",
  31777. "cat": "Op",
  31778. "name": "Conv2DBackpropInput",
  31779. "pid": 15,
  31780. "tid": 1,
  31781. "ts": 1539815917025658,
  31782. "dur": 4,
  31783. "args": {
  31784. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31785. "op": "Conv2DBackpropInput"
  31786. }
  31787. },
  31788. {
  31789. "ph": "X",
  31790. "cat": "Op",
  31791. "name": "Conv2DBackpropInput",
  31792. "pid": 15,
  31793. "tid": 2,
  31794. "ts": 1539815917025659,
  31795. "dur": 796,
  31796. "args": {
  31797. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31798. "op": "Conv2DBackpropInput"
  31799. }
  31800. },
  31801. {
  31802. "ph": "X",
  31803. "cat": "Op",
  31804. "name": "Conv2DBackpropInput",
  31805. "pid": 15,
  31806. "tid": 3,
  31807. "ts": 1539815917025547,
  31808. "dur": 129,
  31809. "args": {
  31810. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31811. "op": "Conv2DBackpropInput"
  31812. }
  31813. },
  31814. {
  31815. "ph": "X",
  31816. "cat": "Op",
  31817. "name": "Conv2DBackpropInput",
  31818. "pid": 15,
  31819. "tid": 0,
  31820. "ts": 1539815917026460,
  31821. "dur": 79,
  31822. "args": {
  31823. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31824. "op": "Conv2DBackpropInput"
  31825. }
  31826. },
  31827. {
  31828. "ph": "X",
  31829. "cat": "Op",
  31830. "name": "Conv2DBackpropInput",
  31831. "pid": 15,
  31832. "tid": 1,
  31833. "ts": 1539815917025665,
  31834. "dur": 794,
  31835. "args": {
  31836. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31837. "op": "Conv2DBackpropInput"
  31838. }
  31839. },
  31840. {
  31841. "ph": "X",
  31842. "cat": "Op",
  31843. "name": "Conv2DBackpropInput",
  31844. "pid": 15,
  31845. "tid": 3,
  31846. "ts": 1539815917025680,
  31847. "dur": 4,
  31848. "args": {
  31849. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31850. "op": "Conv2DBackpropInput"
  31851. }
  31852. },
  31853. {
  31854. "ph": "X",
  31855. "cat": "Op",
  31856. "name": "Conv2DBackpropInput",
  31857. "pid": 15,
  31858. "tid": 1,
  31859. "ts": 1539815917026464,
  31860. "dur": 78,
  31861. "args": {
  31862. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31863. "op": "Conv2DBackpropInput"
  31864. }
  31865. },
  31866. {
  31867. "ph": "X",
  31868. "cat": "Op",
  31869. "name": "Conv2DBackpropInput",
  31870. "pid": 15,
  31871. "tid": 3,
  31872. "ts": 1539815917025687,
  31873. "dur": 797,
  31874. "args": {
  31875. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31876. "op": "Conv2DBackpropInput"
  31877. }
  31878. },
  31879. {
  31880. "ph": "X",
  31881. "cat": "Op",
  31882. "name": "Conv2DBackpropInput",
  31883. "pid": 15,
  31884. "tid": 2,
  31885. "ts": 1539815917026489,
  31886. "dur": 79,
  31887. "args": {
  31888. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31889. "op": "Conv2DBackpropInput"
  31890. }
  31891. },
  31892. {
  31893. "ph": "X",
  31894. "cat": "Op",
  31895. "name": "Conv2DBackpropInput",
  31896. "pid": 15,
  31897. "tid": 4,
  31898. "ts": 1539815917026469,
  31899. "dur": 70,
  31900. "args": {
  31901. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31902. "op": "Conv2DBackpropInput"
  31903. }
  31904. },
  31905. {
  31906. "ph": "X",
  31907. "cat": "Op",
  31908. "name": "Conv2DBackpropInput",
  31909. "pid": 15,
  31910. "tid": 0,
  31911. "ts": 1539815917026543,
  31912. "dur": 130,
  31913. "args": {
  31914. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31915. "op": "Conv2DBackpropInput"
  31916. }
  31917. },
  31918. {
  31919. "ph": "X",
  31920. "cat": "Op",
  31921. "name": "Conv2DBackpropInput",
  31922. "pid": 15,
  31923. "tid": 0,
  31924. "ts": 1539815917026676,
  31925. "dur": 4,
  31926. "args": {
  31927. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31928. "op": "Conv2DBackpropInput"
  31929. }
  31930. },
  31931. {
  31932. "ph": "X",
  31933. "cat": "Op",
  31934. "name": "Conv2DBackpropInput",
  31935. "pid": 15,
  31936. "tid": 0,
  31937. "ts": 1539815917026684,
  31938. "dur": 801,
  31939. "args": {
  31940. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31941. "op": "Conv2DBackpropInput"
  31942. }
  31943. },
  31944. {
  31945. "ph": "X",
  31946. "cat": "Op",
  31947. "name": "Conv2DBackpropInput",
  31948. "pid": 15,
  31949. "tid": 0,
  31950. "ts": 1539815917027490,
  31951. "dur": 79,
  31952. "args": {
  31953. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31954. "op": "Conv2DBackpropInput"
  31955. }
  31956. },
  31957. {
  31958. "ph": "X",
  31959. "cat": "Op",
  31960. "name": "Conv2DBackpropInput",
  31961. "pid": 15,
  31962. "tid": 1,
  31963. "ts": 1539815917026589,
  31964. "dur": 72,
  31965. "args": {
  31966. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31967. "op": "Conv2DBackpropInput"
  31968. }
  31969. },
  31970. {
  31971. "ph": "X",
  31972. "cat": "Op",
  31973. "name": "Conv2DBackpropInput",
  31974. "pid": 15,
  31975. "tid": 2,
  31976. "ts": 1539815917026594,
  31977. "dur": 69,
  31978. "args": {
  31979. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31980. "op": "Conv2DBackpropInput"
  31981. }
  31982. },
  31983. {
  31984. "ph": "X",
  31985. "cat": "Op",
  31986. "name": "Conv2DBackpropInput",
  31987. "pid": 15,
  31988. "tid": 1,
  31989. "ts": 1539815917026664,
  31990. "dur": 128,
  31991. "args": {
  31992. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  31993. "op": "Conv2DBackpropInput"
  31994. }
  31995. },
  31996. {
  31997. "ph": "X",
  31998. "cat": "Op",
  31999. "name": "Conv2DBackpropInput",
  32000. "pid": 15,
  32001. "tid": 2,
  32002. "ts": 1539815917026667,
  32003. "dur": 129,
  32004. "args": {
  32005. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32006. "op": "Conv2DBackpropInput"
  32007. }
  32008. },
  32009. {
  32010. "ph": "X",
  32011. "cat": "Op",
  32012. "name": "Conv2DBackpropInput",
  32013. "pid": 15,
  32014. "tid": 1,
  32015. "ts": 1539815917026797,
  32016. "dur": 3,
  32017. "args": {
  32018. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32019. "op": "Conv2DBackpropInput"
  32020. }
  32021. },
  32022. {
  32023. "ph": "X",
  32024. "cat": "Op",
  32025. "name": "Conv2DBackpropInput",
  32026. "pid": 15,
  32027. "tid": 2,
  32028. "ts": 1539815917026800,
  32029. "dur": 4,
  32030. "args": {
  32031. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32032. "op": "Conv2DBackpropInput"
  32033. }
  32034. },
  32035. {
  32036. "ph": "X",
  32037. "cat": "Op",
  32038. "name": "Conv2DBackpropInput",
  32039. "pid": 15,
  32040. "tid": 3,
  32041. "ts": 1539815917026620,
  32042. "dur": 69,
  32043. "args": {
  32044. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32045. "op": "Conv2DBackpropInput"
  32046. }
  32047. },
  32048. {
  32049. "ph": "X",
  32050. "cat": "Op",
  32051. "name": "Conv2DBackpropInput",
  32052. "pid": 15,
  32053. "tid": 1,
  32054. "ts": 1539815917026804,
  32055. "dur": 806,
  32056. "args": {
  32057. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32058. "op": "Conv2DBackpropInput"
  32059. }
  32060. },
  32061. {
  32062. "ph": "X",
  32063. "cat": "Op",
  32064. "name": "Conv2DBackpropInput",
  32065. "pid": 15,
  32066. "tid": 3,
  32067. "ts": 1539815917026694,
  32068. "dur": 129,
  32069. "args": {
  32070. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32071. "op": "Conv2DBackpropInput"
  32072. }
  32073. },
  32074. {
  32075. "ph": "X",
  32076. "cat": "Op",
  32077. "name": "Conv2DBackpropInput",
  32078. "pid": 15,
  32079. "tid": 2,
  32080. "ts": 1539815917026808,
  32081. "dur": 794,
  32082. "args": {
  32083. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32084. "op": "Conv2DBackpropInput"
  32085. }
  32086. },
  32087. {
  32088. "ph": "X",
  32089. "cat": "Op",
  32090. "name": "Conv2DBackpropInput",
  32091. "pid": 15,
  32092. "tid": 0,
  32093. "ts": 1539815917027615,
  32094. "dur": 78,
  32095. "args": {
  32096. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32097. "op": "Conv2DBackpropInput"
  32098. }
  32099. },
  32100. {
  32101. "ph": "X",
  32102. "cat": "Op",
  32103. "name": "Conv2DBackpropInput",
  32104. "pid": 15,
  32105. "tid": 3,
  32106. "ts": 1539815917026827,
  32107. "dur": 4,
  32108. "args": {
  32109. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32110. "op": "Conv2DBackpropInput"
  32111. }
  32112. },
  32113. {
  32114. "ph": "X",
  32115. "cat": "Op",
  32116. "name": "Conv2DBackpropInput",
  32117. "pid": 15,
  32118. "tid": 2,
  32119. "ts": 1539815917027607,
  32120. "dur": 79,
  32121. "args": {
  32122. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32123. "op": "Conv2DBackpropInput"
  32124. }
  32125. },
  32126. {
  32127. "ph": "X",
  32128. "cat": "Op",
  32129. "name": "Conv2DBackpropInput",
  32130. "pid": 15,
  32131. "tid": 3,
  32132. "ts": 1539815917026835,
  32133. "dur": 799,
  32134. "args": {
  32135. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32136. "op": "Conv2DBackpropInput"
  32137. }
  32138. },
  32139. {
  32140. "ph": "X",
  32141. "cat": "Op",
  32142. "name": "Conv2DBackpropInput",
  32143. "pid": 15,
  32144. "tid": 1,
  32145. "ts": 1539815917027639,
  32146. "dur": 79,
  32147. "args": {
  32148. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32149. "op": "Conv2DBackpropInput"
  32150. }
  32151. },
  32152. {
  32153. "ph": "X",
  32154. "cat": "Op",
  32155. "name": "Conv2DBackpropInput",
  32156. "pid": 15,
  32157. "tid": 4,
  32158. "ts": 1539815917027626,
  32159. "dur": 216,
  32160. "args": {
  32161. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32162. "op": "Conv2DBackpropInput"
  32163. }
  32164. },
  32165. {
  32166. "ph": "X",
  32167. "cat": "Op",
  32168. "name": "Conv2DBackpropInput",
  32169. "pid": 15,
  32170. "tid": 0,
  32171. "ts": 1539815917027846,
  32172. "dur": 486,
  32173. "args": {
  32174. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32175. "op": "Conv2DBackpropInput"
  32176. }
  32177. },
  32178. {
  32179. "ph": "X",
  32180. "cat": "Op",
  32181. "name": "Conv2DBackpropInput",
  32182. "pid": 15,
  32183. "tid": 0,
  32184. "ts": 1539815917028343,
  32185. "dur": 2265,
  32186. "args": {
  32187. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32188. "op": "Conv2DBackpropInput"
  32189. }
  32190. },
  32191. {
  32192. "ph": "X",
  32193. "cat": "Op",
  32194. "name": "Conv2DBackpropInput",
  32195. "pid": 15,
  32196. "tid": 0,
  32197. "ts": 1539815917030611,
  32198. "dur": 236,
  32199. "args": {
  32200. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32201. "op": "Conv2DBackpropInput"
  32202. }
  32203. },
  32204. {
  32205. "ph": "X",
  32206. "cat": "Op",
  32207. "name": "Conv2DBackpropInput",
  32208. "pid": 15,
  32209. "tid": 1,
  32210. "ts": 1539815917027748,
  32211. "dur": 212,
  32212. "args": {
  32213. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32214. "op": "Conv2DBackpropInput"
  32215. }
  32216. },
  32217. {
  32218. "ph": "X",
  32219. "cat": "Op",
  32220. "name": "Conv2DBackpropInput",
  32221. "pid": 15,
  32222. "tid": 2,
  32223. "ts": 1539815917027752,
  32224. "dur": 214,
  32225. "args": {
  32226. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32227. "op": "Conv2DBackpropInput"
  32228. }
  32229. },
  32230. {
  32231. "ph": "X",
  32232. "cat": "Op",
  32233. "name": "Conv2DBackpropInput",
  32234. "pid": 15,
  32235. "tid": 1,
  32236. "ts": 1539815917027965,
  32237. "dur": 487,
  32238. "args": {
  32239. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32240. "op": "Conv2DBackpropInput"
  32241. }
  32242. },
  32243. {
  32244. "ph": "X",
  32245. "cat": "Op",
  32246. "name": "Conv2DBackpropInput",
  32247. "pid": 15,
  32248. "tid": 2,
  32249. "ts": 1539815917027970,
  32250. "dur": 486,
  32251. "args": {
  32252. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32253. "op": "Conv2DBackpropInput"
  32254. }
  32255. },
  32256. {
  32257. "ph": "X",
  32258. "cat": "Op",
  32259. "name": "Conv2DBackpropInput",
  32260. "pid": 15,
  32261. "tid": 3,
  32262. "ts": 1539815917027778,
  32263. "dur": 215,
  32264. "args": {
  32265. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32266. "op": "Conv2DBackpropInput"
  32267. }
  32268. },
  32269. {
  32270. "ph": "X",
  32271. "cat": "Op",
  32272. "name": "Conv2DBackpropInput",
  32273. "pid": 15,
  32274. "tid": 1,
  32275. "ts": 1539815917028461,
  32276. "dur": 2270,
  32277. "args": {
  32278. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32279. "op": "Conv2DBackpropInput"
  32280. }
  32281. },
  32282. {
  32283. "ph": "X",
  32284. "cat": "Op",
  32285. "name": "Conv2DBackpropInput",
  32286. "pid": 15,
  32287. "tid": 2,
  32288. "ts": 1539815917028468,
  32289. "dur": 2263,
  32290. "args": {
  32291. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32292. "op": "Conv2DBackpropInput"
  32293. }
  32294. },
  32295. {
  32296. "ph": "X",
  32297. "cat": "Op",
  32298. "name": "Conv2DBackpropInput",
  32299. "pid": 15,
  32300. "tid": 3,
  32301. "ts": 1539815917027997,
  32302. "dur": 489,
  32303. "args": {
  32304. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32305. "op": "Conv2DBackpropInput"
  32306. }
  32307. },
  32308. {
  32309. "ph": "X",
  32310. "cat": "Op",
  32311. "name": "Conv2DBackpropInput",
  32312. "pid": 15,
  32313. "tid": 1,
  32314. "ts": 1539815917030734,
  32315. "dur": 232,
  32316. "args": {
  32317. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32318. "op": "Conv2DBackpropInput"
  32319. }
  32320. },
  32321. {
  32322. "ph": "X",
  32323. "cat": "Op",
  32324. "name": "Conv2DBackpropInput",
  32325. "pid": 15,
  32326. "tid": 2,
  32327. "ts": 1539815917030734,
  32328. "dur": 235,
  32329. "args": {
  32330. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32331. "op": "Conv2DBackpropInput"
  32332. }
  32333. },
  32334. {
  32335. "ph": "X",
  32336. "cat": "Op",
  32337. "name": "Conv2DBackpropInput",
  32338. "pid": 15,
  32339. "tid": 3,
  32340. "ts": 1539815917028496,
  32341. "dur": 2266,
  32342. "args": {
  32343. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32344. "op": "Conv2DBackpropInput"
  32345. }
  32346. },
  32347. {
  32348. "ph": "X",
  32349. "cat": "Op",
  32350. "name": "Conv2DBackpropInput",
  32351. "pid": 15,
  32352. "tid": 3,
  32353. "ts": 1539815917030765,
  32354. "dur": 235,
  32355. "args": {
  32356. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32357. "op": "Conv2DBackpropInput"
  32358. }
  32359. },
  32360. {
  32361. "ph": "X",
  32362. "cat": "Op",
  32363. "name": "Conv2DBackpropInput",
  32364. "pid": 15,
  32365. "tid": 0,
  32366. "ts": 1539815917030907,
  32367. "dur": 211,
  32368. "args": {
  32369. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32370. "op": "Conv2DBackpropInput"
  32371. }
  32372. },
  32373. {
  32374. "ph": "X",
  32375. "cat": "Op",
  32376. "name": "Conv2DBackpropInput",
  32377. "pid": 15,
  32378. "tid": 0,
  32379. "ts": 1539815917031123,
  32380. "dur": 489,
  32381. "args": {
  32382. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32383. "op": "Conv2DBackpropInput"
  32384. }
  32385. },
  32386. {
  32387. "ph": "X",
  32388. "cat": "Op",
  32389. "name": "Conv2DBackpropInput",
  32390. "pid": 15,
  32391. "tid": 0,
  32392. "ts": 1539815917031623,
  32393. "dur": 2268,
  32394. "args": {
  32395. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32396. "op": "Conv2DBackpropInput"
  32397. }
  32398. },
  32399. {
  32400. "ph": "X",
  32401. "cat": "Op",
  32402. "name": "Conv2DBackpropInput",
  32403. "pid": 15,
  32404. "tid": 0,
  32405. "ts": 1539815917033894,
  32406. "dur": 236,
  32407. "args": {
  32408. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32409. "op": "Conv2DBackpropInput"
  32410. }
  32411. },
  32412. {
  32413. "ph": "X",
  32414. "cat": "Op",
  32415. "name": "Conv2DBackpropInput",
  32416. "pid": 15,
  32417. "tid": 1,
  32418. "ts": 1539815917031026,
  32419. "dur": 215,
  32420. "args": {
  32421. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32422. "op": "Conv2DBackpropInput"
  32423. }
  32424. },
  32425. {
  32426. "ph": "X",
  32427. "cat": "Op",
  32428. "name": "Conv2DBackpropInput",
  32429. "pid": 15,
  32430. "tid": 2,
  32431. "ts": 1539815917031028,
  32432. "dur": 211,
  32433. "args": {
  32434. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32435. "op": "Conv2DBackpropInput"
  32436. }
  32437. },
  32438. {
  32439. "ph": "X",
  32440. "cat": "Op",
  32441. "name": "Conv2DBackpropInput",
  32442. "pid": 15,
  32443. "tid": 1,
  32444. "ts": 1539815917031245,
  32445. "dur": 490,
  32446. "args": {
  32447. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32448. "op": "Conv2DBackpropInput"
  32449. }
  32450. },
  32451. {
  32452. "ph": "X",
  32453. "cat": "Op",
  32454. "name": "Conv2DBackpropInput",
  32455. "pid": 15,
  32456. "tid": 2,
  32457. "ts": 1539815917031244,
  32458. "dur": 485,
  32459. "args": {
  32460. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32461. "op": "Conv2DBackpropInput"
  32462. }
  32463. },
  32464. {
  32465. "ph": "X",
  32466. "cat": "Op",
  32467. "name": "Conv2DBackpropInput",
  32468. "pid": 15,
  32469. "tid": 1,
  32470. "ts": 1539815917031746,
  32471. "dur": 2264,
  32472. "args": {
  32473. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32474. "op": "Conv2DBackpropInput"
  32475. }
  32476. },
  32477. {
  32478. "ph": "X",
  32479. "cat": "Op",
  32480. "name": "Conv2DBackpropInput",
  32481. "pid": 15,
  32482. "tid": 2,
  32483. "ts": 1539815917031739,
  32484. "dur": 2266,
  32485. "args": {
  32486. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32487. "op": "Conv2DBackpropInput"
  32488. }
  32489. },
  32490. {
  32491. "ph": "X",
  32492. "cat": "Op",
  32493. "name": "Conv2DBackpropInput",
  32494. "pid": 15,
  32495. "tid": 3,
  32496. "ts": 1539815917031065,
  32497. "dur": 212,
  32498. "args": {
  32499. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32500. "op": "Conv2DBackpropInput"
  32501. }
  32502. },
  32503. {
  32504. "ph": "X",
  32505. "cat": "Op",
  32506. "name": "Conv2DBackpropInput",
  32507. "pid": 15,
  32508. "tid": 1,
  32509. "ts": 1539815917034013,
  32510. "dur": 235,
  32511. "args": {
  32512. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32513. "op": "Conv2DBackpropInput"
  32514. }
  32515. },
  32516. {
  32517. "ph": "X",
  32518. "cat": "Op",
  32519. "name": "Conv2DBackpropInput",
  32520. "pid": 15,
  32521. "tid": 2,
  32522. "ts": 1539815917034010,
  32523. "dur": 235,
  32524. "args": {
  32525. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32526. "op": "Conv2DBackpropInput"
  32527. }
  32528. },
  32529. {
  32530. "ph": "X",
  32531. "cat": "Op",
  32532. "name": "Conv2DBackpropInput",
  32533. "pid": 15,
  32534. "tid": 3,
  32535. "ts": 1539815917031282,
  32536. "dur": 487,
  32537. "args": {
  32538. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32539. "op": "Conv2DBackpropInput"
  32540. }
  32541. },
  32542. {
  32543. "ph": "X",
  32544. "cat": "Op",
  32545. "name": "Conv2DBackpropInput",
  32546. "pid": 15,
  32547. "tid": 3,
  32548. "ts": 1539815917031778,
  32549. "dur": 2266,
  32550. "args": {
  32551. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32552. "op": "Conv2DBackpropInput"
  32553. }
  32554. },
  32555. {
  32556. "ph": "X",
  32557. "cat": "Op",
  32558. "name": "Conv2DBackpropInput",
  32559. "pid": 15,
  32560. "tid": 3,
  32561. "ts": 1539815917034047,
  32562. "dur": 232,
  32563. "args": {
  32564. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32565. "op": "Conv2DBackpropInput"
  32566. }
  32567. },
  32568. {
  32569. "ph": "X",
  32570. "cat": "Op",
  32571. "name": "Conv2DBackpropInput",
  32572. "pid": 15,
  32573. "tid": 0,
  32574. "ts": 1539815917034198,
  32575. "dur": 557,
  32576. "args": {
  32577. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32578. "op": "Conv2DBackpropInput"
  32579. }
  32580. },
  32581. {
  32582. "ph": "X",
  32583. "cat": "Op",
  32584. "name": "Conv2DBackpropInput",
  32585. "pid": 15,
  32586. "tid": 0,
  32587. "ts": 1539815917034758,
  32588. "dur": 51,
  32589. "args": {
  32590. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32591. "op": "Conv2DBackpropInput"
  32592. }
  32593. },
  32594. {
  32595. "ph": "X",
  32596. "cat": "Op",
  32597. "name": "Conv2DBackpropInput",
  32598. "pid": 15,
  32599. "tid": 0,
  32600. "ts": 1539815917034813,
  32601. "dur": 246,
  32602. "args": {
  32603. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32604. "op": "Conv2DBackpropInput"
  32605. }
  32606. },
  32607. {
  32608. "ph": "X",
  32609. "cat": "Op",
  32610. "name": "Conv2DBackpropInput",
  32611. "pid": 15,
  32612. "tid": 0,
  32613. "ts": 1539815917035063,
  32614. "dur": 224,
  32615. "args": {
  32616. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32617. "op": "Conv2DBackpropInput"
  32618. }
  32619. },
  32620. {
  32621. "ph": "X",
  32622. "cat": "Op",
  32623. "name": "Conv2DBackpropInput",
  32624. "pid": 15,
  32625. "tid": 1,
  32626. "ts": 1539815917034312,
  32627. "dur": 556,
  32628. "args": {
  32629. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32630. "op": "Conv2DBackpropInput"
  32631. }
  32632. },
  32633. {
  32634. "ph": "X",
  32635. "cat": "Op",
  32636. "name": "Conv2DBackpropInput",
  32637. "pid": 15,
  32638. "tid": 1,
  32639. "ts": 1539815917034871,
  32640. "dur": 50,
  32641. "args": {
  32642. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32643. "op": "Conv2DBackpropInput"
  32644. }
  32645. },
  32646. {
  32647. "ph": "X",
  32648. "cat": "Op",
  32649. "name": "Conv2DBackpropInput",
  32650. "pid": 15,
  32651. "tid": 2,
  32652. "ts": 1539815917034326,
  32653. "dur": 556,
  32654. "args": {
  32655. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32656. "op": "Conv2DBackpropInput"
  32657. }
  32658. },
  32659. {
  32660. "ph": "X",
  32661. "cat": "Op",
  32662. "name": "Conv2DBackpropInput",
  32663. "pid": 15,
  32664. "tid": 2,
  32665. "ts": 1539815917034894,
  32666. "dur": 51,
  32667. "args": {
  32668. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32669. "op": "Conv2DBackpropInput"
  32670. }
  32671. },
  32672. {
  32673. "ph": "X",
  32674. "cat": "Op",
  32675. "name": "Conv2DBackpropInput",
  32676. "pid": 15,
  32677. "tid": 1,
  32678. "ts": 1539815917034925,
  32679. "dur": 245,
  32680. "args": {
  32681. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32682. "op": "Conv2DBackpropInput"
  32683. }
  32684. },
  32685. {
  32686. "ph": "X",
  32687. "cat": "Op",
  32688. "name": "Conv2DBackpropInput",
  32689. "pid": 15,
  32690. "tid": 3,
  32691. "ts": 1539815917034347,
  32692. "dur": 556,
  32693. "args": {
  32694. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32695. "op": "Conv2DBackpropInput"
  32696. }
  32697. },
  32698. {
  32699. "ph": "X",
  32700. "cat": "Op",
  32701. "name": "Conv2DBackpropInput",
  32702. "pid": 15,
  32703. "tid": 1,
  32704. "ts": 1539815917035174,
  32705. "dur": 224,
  32706. "args": {
  32707. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32708. "op": "Conv2DBackpropInput"
  32709. }
  32710. },
  32711. {
  32712. "ph": "X",
  32713. "cat": "Op",
  32714. "name": "Conv2DBackpropInput",
  32715. "pid": 15,
  32716. "tid": 2,
  32717. "ts": 1539815917034948,
  32718. "dur": 243,
  32719. "args": {
  32720. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32721. "op": "Conv2DBackpropInput"
  32722. }
  32723. },
  32724. {
  32725. "ph": "X",
  32726. "cat": "Op",
  32727. "name": "Conv2DBackpropInput",
  32728. "pid": 15,
  32729. "tid": 3,
  32730. "ts": 1539815917034906,
  32731. "dur": 51,
  32732. "args": {
  32733. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32734. "op": "Conv2DBackpropInput"
  32735. }
  32736. },
  32737. {
  32738. "ph": "X",
  32739. "cat": "Op",
  32740. "name": "Conv2DBackpropInput",
  32741. "pid": 15,
  32742. "tid": 2,
  32743. "ts": 1539815917035196,
  32744. "dur": 221,
  32745. "args": {
  32746. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32747. "op": "Conv2DBackpropInput"
  32748. }
  32749. },
  32750. {
  32751. "ph": "X",
  32752. "cat": "Op",
  32753. "name": "Conv2DBackpropInput",
  32754. "pid": 15,
  32755. "tid": 3,
  32756. "ts": 1539815917034961,
  32757. "dur": 244,
  32758. "args": {
  32759. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32760. "op": "Conv2DBackpropInput"
  32761. }
  32762. },
  32763. {
  32764. "ph": "X",
  32765. "cat": "Op",
  32766. "name": "Conv2DBackpropInput",
  32767. "pid": 15,
  32768. "tid": 3,
  32769. "ts": 1539815917035209,
  32770. "dur": 223,
  32771. "args": {
  32772. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32773. "op": "Conv2DBackpropInput"
  32774. }
  32775. },
  32776. {
  32777. "ph": "X",
  32778. "cat": "Op",
  32779. "name": "Conv2DBackpropInput",
  32780. "pid": 15,
  32781. "tid": 0,
  32782. "ts": 1539815917035335,
  32783. "dur": 556,
  32784. "args": {
  32785. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32786. "op": "Conv2DBackpropInput"
  32787. }
  32788. },
  32789. {
  32790. "ph": "X",
  32791. "cat": "Op",
  32792. "name": "Conv2DBackpropInput",
  32793. "pid": 15,
  32794. "tid": 0,
  32795. "ts": 1539815917035894,
  32796. "dur": 50,
  32797. "args": {
  32798. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32799. "op": "Conv2DBackpropInput"
  32800. }
  32801. },
  32802. {
  32803. "ph": "X",
  32804. "cat": "Op",
  32805. "name": "Conv2DBackpropInput",
  32806. "pid": 15,
  32807. "tid": 0,
  32808. "ts": 1539815917035948,
  32809. "dur": 245,
  32810. "args": {
  32811. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32812. "op": "Conv2DBackpropInput"
  32813. }
  32814. },
  32815. {
  32816. "ph": "X",
  32817. "cat": "Op",
  32818. "name": "Conv2DBackpropInput",
  32819. "pid": 15,
  32820. "tid": 0,
  32821. "ts": 1539815917036198,
  32822. "dur": 224,
  32823. "args": {
  32824. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32825. "op": "Conv2DBackpropInput"
  32826. }
  32827. },
  32828. {
  32829. "ph": "X",
  32830. "cat": "Op",
  32831. "name": "Conv2DBackpropInput",
  32832. "pid": 15,
  32833. "tid": 1,
  32834. "ts": 1539815917035446,
  32835. "dur": 555,
  32836. "args": {
  32837. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32838. "op": "Conv2DBackpropInput"
  32839. }
  32840. },
  32841. {
  32842. "ph": "X",
  32843. "cat": "Op",
  32844. "name": "Conv2DBackpropInput",
  32845. "pid": 15,
  32846. "tid": 1,
  32847. "ts": 1539815917036004,
  32848. "dur": 52,
  32849. "args": {
  32850. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32851. "op": "Conv2DBackpropInput"
  32852. }
  32853. },
  32854. {
  32855. "ph": "X",
  32856. "cat": "Op",
  32857. "name": "Conv2DBackpropInput",
  32858. "pid": 15,
  32859. "tid": 2,
  32860. "ts": 1539815917035467,
  32861. "dur": 531,
  32862. "args": {
  32863. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32864. "op": "Conv2DBackpropInput"
  32865. }
  32866. },
  32867. {
  32868. "ph": "X",
  32869. "cat": "Op",
  32870. "name": "Conv2DBackpropInput",
  32871. "pid": 15,
  32872. "tid": 1,
  32873. "ts": 1539815917036061,
  32874. "dur": 243,
  32875. "args": {
  32876. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32877. "op": "Conv2DBackpropInput"
  32878. }
  32879. },
  32880. {
  32881. "ph": "X",
  32882. "cat": "Op",
  32883. "name": "Conv2DBackpropInput",
  32884. "pid": 15,
  32885. "tid": 2,
  32886. "ts": 1539815917036003,
  32887. "dur": 50,
  32888. "args": {
  32889. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32890. "op": "Conv2DBackpropInput"
  32891. }
  32892. },
  32893. {
  32894. "ph": "X",
  32895. "cat": "Op",
  32896. "name": "Conv2DBackpropInput",
  32897. "pid": 15,
  32898. "tid": 3,
  32899. "ts": 1539815917035488,
  32900. "dur": 557,
  32901. "args": {
  32902. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32903. "op": "Conv2DBackpropInput"
  32904. }
  32905. },
  32906. {
  32907. "ph": "X",
  32908. "cat": "Op",
  32909. "name": "Conv2DBackpropInput",
  32910. "pid": 15,
  32911. "tid": 2,
  32912. "ts": 1539815917036056,
  32913. "dur": 232,
  32914. "args": {
  32915. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32916. "op": "Conv2DBackpropInput"
  32917. }
  32918. },
  32919. {
  32920. "ph": "X",
  32921. "cat": "Op",
  32922. "name": "Conv2DBackpropInput",
  32923. "pid": 15,
  32924. "tid": 1,
  32925. "ts": 1539815917036308,
  32926. "dur": 223,
  32927. "args": {
  32928. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32929. "op": "Conv2DBackpropInput"
  32930. }
  32931. },
  32932. {
  32933. "ph": "X",
  32934. "cat": "Op",
  32935. "name": "Conv2DBackpropInput",
  32936. "pid": 15,
  32937. "tid": 2,
  32938. "ts": 1539815917036291,
  32939. "dur": 212,
  32940. "args": {
  32941. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32942. "op": "Conv2DBackpropInput"
  32943. }
  32944. },
  32945. {
  32946. "ph": "X",
  32947. "cat": "Op",
  32948. "name": "Conv2DBackpropInput",
  32949. "pid": 15,
  32950. "tid": 3,
  32951. "ts": 1539815917036048,
  32952. "dur": 50,
  32953. "args": {
  32954. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32955. "op": "Conv2DBackpropInput"
  32956. }
  32957. },
  32958. {
  32959. "ph": "X",
  32960. "cat": "Op",
  32961. "name": "Conv2DBackpropInput",
  32962. "pid": 15,
  32963. "tid": 3,
  32964. "ts": 1539815917036101,
  32965. "dur": 245,
  32966. "args": {
  32967. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32968. "op": "Conv2DBackpropInput"
  32969. }
  32970. },
  32971. {
  32972. "ph": "X",
  32973. "cat": "Op",
  32974. "name": "Conv2DBackpropInput",
  32975. "pid": 15,
  32976. "tid": 3,
  32977. "ts": 1539815917036350,
  32978. "dur": 223,
  32979. "args": {
  32980. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32981. "op": "Conv2DBackpropInput"
  32982. }
  32983. },
  32984. {
  32985. "ph": "X",
  32986. "cat": "Op",
  32987. "name": "Conv2DBackpropInput",
  32988. "pid": 15,
  32989. "tid": 0,
  32990. "ts": 1539815917036464,
  32991. "dur": 556,
  32992. "args": {
  32993. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  32994. "op": "Conv2DBackpropInput"
  32995. }
  32996. },
  32997. {
  32998. "ph": "X",
  32999. "cat": "Op",
  33000. "name": "Conv2DBackpropInput",
  33001. "pid": 15,
  33002. "tid": 0,
  33003. "ts": 1539815917037023,
  33004. "dur": 51,
  33005. "args": {
  33006. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  33007. "op": "Conv2DBackpropInput"
  33008. }
  33009. },
  33010. {
  33011. "ph": "X",
  33012. "cat": "Op",
  33013. "name": "Conv2DBackpropInput",
  33014. "pid": 15,
  33015. "tid": 0,
  33016. "ts": 1539815917037078,
  33017. "dur": 247,
  33018. "args": {
  33019. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  33020. "op": "Conv2DBackpropInput"
  33021. }
  33022. },
  33023. {
  33024. "ph": "X",
  33025. "cat": "Op",
  33026. "name": "Conv2DBackpropInput",
  33027. "pid": 15,
  33028. "tid": 0,
  33029. "ts": 1539815917037330,
  33030. "dur": 223,
  33031. "args": {
  33032. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  33033. "op": "Conv2DBackpropInput"
  33034. }
  33035. },
  33036. {
  33037. "ph": "X",
  33038. "cat": "Op",
  33039. "name": "Conv2DBackpropInput",
  33040. "pid": 15,
  33041. "tid": 1,
  33042. "ts": 1539815917036545,
  33043. "dur": 499,
  33044. "args": {
  33045. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  33046. "op": "Conv2DBackpropInput"
  33047. }
  33048. },
  33049. {
  33050. "ph": "X",
  33051. "cat": "Op",
  33052. "name": "FusedBatchNormGrad",
  33053. "pid": 15,
  33054. "tid": 0,
  33055. "ts": 1539815917037556,
  33056. "dur": 4,
  33057. "args": {
  33058. "name": "tower_2/training/TFOptimizer/gradients/tower_2/batch_normalization_2/FusedBatchNorm_grad/FusedBatchNormGrad",
  33059. "op": "FusedBatchNormGrad"
  33060. }
  33061. },
  33062. {
  33063. "ph": "X",
  33064. "cat": "Op",
  33065. "name": "Conv2DBackpropInput",
  33066. "pid": 15,
  33067. "tid": 1,
  33068. "ts": 1539815917037048,
  33069. "dur": 51,
  33070. "args": {
  33071. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  33072. "op": "Conv2DBackpropInput"
  33073. }
  33074. },
  33075. {
  33076. "ph": "X",
  33077. "cat": "Op",
  33078. "name": "Conv2DBackpropInput",
  33079. "pid": 15,
  33080. "tid": 2,
  33081. "ts": 1539815917036576,
  33082. "dur": 556,
  33083. "args": {
  33084. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  33085. "op": "Conv2DBackpropInput"
  33086. }
  33087. },
  33088. {
  33089. "ph": "X",
  33090. "cat": "Op",
  33091. "name": "FusedBatchNormGrad",
  33092. "pid": 15,
  33093. "tid": 0,
  33094. "ts": 1539815917037563,
  33095. "dur": 3,
  33096. "args": {
  33097. "name": "tower_2/training/TFOptimizer/gradients/tower_2/batch_normalization_2/FusedBatchNorm_grad/FusedBatchNormGrad",
  33098. "op": "FusedBatchNormGrad"
  33099. }
  33100. },
  33101. {
  33102. "ph": "X",
  33103. "cat": "Op",
  33104. "name": "Conv2DBackpropInput",
  33105. "pid": 15,
  33106. "tid": 1,
  33107. "ts": 1539815917037135,
  33108. "dur": 51,
  33109. "args": {
  33110. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  33111. "op": "Conv2DBackpropInput"
  33112. }
  33113. },
  33114. {
  33115. "ph": "X",
  33116. "cat": "Op",
  33117. "name": "Conv2DBackpropInput",
  33118. "pid": 15,
  33119. "tid": 3,
  33120. "ts": 1539815917037102,
  33121. "dur": 218,
  33122. "args": {
  33123. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  33124. "op": "Conv2DBackpropInput"
  33125. }
  33126. },
  33127. {
  33128. "ph": "X",
  33129. "cat": "Op",
  33130. "name": "Conv2DBackpropInput",
  33131. "pid": 15,
  33132. "tid": 1,
  33133. "ts": 1539815917037190,
  33134. "dur": 268,
  33135. "args": {
  33136. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  33137. "op": "Conv2DBackpropInput"
  33138. }
  33139. },
  33140. {
  33141. "ph": "X",
  33142. "cat": "Op",
  33143. "name": "Conv2DBackpropInput",
  33144. "pid": 15,
  33145. "tid": 2,
  33146. "ts": 1539815917037323,
  33147. "dur": 196,
  33148. "args": {
  33149. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  33150. "op": "Conv2DBackpropInput"
  33151. }
  33152. },
  33153. {
  33154. "ph": "X",
  33155. "cat": "Op",
  33156. "name": "FusedBatchNormGrad",
  33157. "pid": 15,
  33158. "tid": 0,
  33159. "ts": 1539815917037569,
  33160. "dur": 57,
  33161. "args": {
  33162. "name": "tower_2/training/TFOptimizer/gradients/tower_2/batch_normalization_2/FusedBatchNorm_grad/FusedBatchNormGrad",
  33163. "op": "FusedBatchNormGrad"
  33164. }
  33165. },
  33166. {
  33167. "ph": "X",
  33168. "cat": "Op",
  33169. "name": "Conv2DBackpropInput",
  33170. "pid": 15,
  33171. "tid": 1,
  33172. "ts": 1539815917037462,
  33173. "dur": 223,
  33174. "args": {
  33175. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  33176. "op": "Conv2DBackpropInput"
  33177. }
  33178. },
  33179. {
  33180. "ph": "X",
  33181. "cat": "Op",
  33182. "name": "Conv2DBackpropInput",
  33183. "pid": 15,
  33184. "tid": 4,
  33185. "ts": 1539815917036617,
  33186. "dur": 556,
  33187. "args": {
  33188. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  33189. "op": "Conv2DBackpropInput"
  33190. }
  33191. },
  33192. {
  33193. "ph": "X",
  33194. "cat": "Op",
  33195. "name": "Conv2DBackpropInput",
  33196. "pid": 15,
  33197. "tid": 4,
  33198. "ts": 1539815917037177,
  33199. "dur": 51,
  33200. "args": {
  33201. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  33202. "op": "Conv2DBackpropInput"
  33203. }
  33204. },
  33205. {
  33206. "ph": "X",
  33207. "cat": "Op",
  33208. "name": "Conv2DBackpropInput",
  33209. "pid": 15,
  33210. "tid": 4,
  33211. "ts": 1539815917037231,
  33212. "dur": 245,
  33213. "args": {
  33214. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  33215. "op": "Conv2DBackpropInput"
  33216. }
  33217. },
  33218. {
  33219. "ph": "X",
  33220. "cat": "Op",
  33221. "name": "Conv2DBackpropInput",
  33222. "pid": 15,
  33223. "tid": 3,
  33224. "ts": 1539815917037480,
  33225. "dur": 224,
  33226. "args": {
  33227. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  33228. "op": "Conv2DBackpropInput"
  33229. }
  33230. },
  33231. {
  33232. "ph": "X",
  33233. "cat": "Op",
  33234. "name": "FusedBatchNormGrad",
  33235. "pid": 15,
  33236. "tid": 2,
  33237. "ts": 1539815917037523,
  33238. "dur": 3,
  33239. "args": {
  33240. "name": "tower_3/training/TFOptimizer/gradients/tower_3/batch_normalization_2/FusedBatchNorm_grad/FusedBatchNormGrad",
  33241. "op": "FusedBatchNormGrad"
  33242. }
  33243. },
  33244. {
  33245. "ph": "X",
  33246. "cat": "Op",
  33247. "name": "FusedBatchNormGrad",
  33248. "pid": 15,
  33249. "tid": 0,
  33250. "ts": 1539815917037689,
  33251. "dur": 3,
  33252. "args": {
  33253. "name": "training/TFOptimizer/gradients/batch_normalization_2/FusedBatchNorm_grad/FusedBatchNormGrad",
  33254. "op": "FusedBatchNormGrad"
  33255. }
  33256. },
  33257. {
  33258. "ph": "X",
  33259. "cat": "Op",
  33260. "name": "FusedBatchNormGrad",
  33261. "pid": 15,
  33262. "tid": 2,
  33263. "ts": 1539815917037530,
  33264. "dur": 2,
  33265. "args": {
  33266. "name": "tower_3/training/TFOptimizer/gradients/tower_3/batch_normalization_2/FusedBatchNorm_grad/FusedBatchNormGrad",
  33267. "op": "FusedBatchNormGrad"
  33268. }
  33269. },
  33270. {
  33271. "ph": "X",
  33272. "cat": "Op",
  33273. "name": "Mul",
  33274. "pid": 15,
  33275. "tid": 2,
  33276. "ts": 1539815917037631,
  33277. "dur": 26,
  33278. "args": {
  33279. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_1/dropout/mul_grad/Mul",
  33280. "op": "Mul"
  33281. }
  33282. },
  33283. {
  33284. "ph": "X",
  33285. "cat": "Op",
  33286. "name": "FusedBatchNormGrad",
  33287. "pid": 15,
  33288. "tid": 0,
  33289. "ts": 1539815917037695,
  33290. "dur": 3,
  33291. "args": {
  33292. "name": "training/TFOptimizer/gradients/batch_normalization_2/FusedBatchNorm_grad/FusedBatchNormGrad",
  33293. "op": "FusedBatchNormGrad"
  33294. }
  33295. },
  33296. {
  33297. "ph": "X",
  33298. "cat": "Op",
  33299. "name": "FusedBatchNormGrad",
  33300. "pid": 15,
  33301. "tid": 4,
  33302. "ts": 1539815917037535,
  33303. "dur": 55,
  33304. "args": {
  33305. "name": "tower_3/training/TFOptimizer/gradients/tower_3/batch_normalization_2/FusedBatchNorm_grad/FusedBatchNormGrad",
  33306. "op": "FusedBatchNormGrad"
  33307. }
  33308. },
  33309. {
  33310. "ph": "X",
  33311. "cat": "Op",
  33312. "name": "Mul",
  33313. "pid": 15,
  33314. "tid": 2,
  33315. "ts": 1539815917037660,
  33316. "dur": 16,
  33317. "args": {
  33318. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_1/dropout/div_grad/RealDiv",
  33319. "op": "Mul"
  33320. }
  33321. },
  33322. {
  33323. "ph": "X",
  33324. "cat": "Op",
  33325. "name": "FusedBatchNormGrad",
  33326. "pid": 15,
  33327. "tid": 0,
  33328. "ts": 1539815917037708,
  33329. "dur": 4,
  33330. "args": {
  33331. "name": "tower_1/training/TFOptimizer/gradients/tower_1/batch_normalization_2/FusedBatchNorm_grad/FusedBatchNormGrad",
  33332. "op": "FusedBatchNormGrad"
  33333. }
  33334. },
  33335. {
  33336. "ph": "X",
  33337. "cat": "Op",
  33338. "name": "FusedBatchNormGrad",
  33339. "pid": 15,
  33340. "tid": 1,
  33341. "ts": 1539815917037702,
  33342. "dur": 59,
  33343. "args": {
  33344. "name": "training/TFOptimizer/gradients/batch_normalization_2/FusedBatchNorm_grad/FusedBatchNormGrad",
  33345. "op": "FusedBatchNormGrad"
  33346. }
  33347. },
  33348. {
  33349. "ph": "X",
  33350. "cat": "Op",
  33351. "name": "FusedBatchNormGrad",
  33352. "pid": 15,
  33353. "tid": 0,
  33354. "ts": 1539815917037715,
  33355. "dur": 3,
  33356. "args": {
  33357. "name": "tower_1/training/TFOptimizer/gradients/tower_1/batch_normalization_2/FusedBatchNorm_grad/FusedBatchNormGrad",
  33358. "op": "FusedBatchNormGrad"
  33359. }
  33360. },
  33361. {
  33362. "ph": "X",
  33363. "cat": "Op",
  33364. "name": "Transpose",
  33365. "pid": 15,
  33366. "tid": 2,
  33367. "ts": 1539815917037680,
  33368. "dur": 20,
  33369. "args": {
  33370. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_1/dropout/div_grad/RealDiv-0-0-TransposeNCHWToNHWC-LayoutOptimizer",
  33371. "op": "Transpose"
  33372. }
  33373. },
  33374. {
  33375. "ph": "X",
  33376. "cat": "Op",
  33377. "name": "FusedBatchNormGrad",
  33378. "pid": 15,
  33379. "tid": 0,
  33380. "ts": 1539815917037721,
  33381. "dur": 57,
  33382. "args": {
  33383. "name": "tower_1/training/TFOptimizer/gradients/tower_1/batch_normalization_2/FusedBatchNorm_grad/FusedBatchNormGrad",
  33384. "op": "FusedBatchNormGrad"
  33385. }
  33386. },
  33387. {
  33388. "ph": "X",
  33389. "cat": "Op",
  33390. "name": "Mul",
  33391. "pid": 15,
  33392. "tid": 1,
  33393. "ts": 1539815917037765,
  33394. "dur": 26,
  33395. "args": {
  33396. "name": "training/TFOptimizer/gradients/dropout_1/dropout/mul_grad/Mul",
  33397. "op": "Mul"
  33398. }
  33399. },
  33400. {
  33401. "ph": "X",
  33402. "cat": "Op",
  33403. "name": "Mul",
  33404. "pid": 15,
  33405. "tid": 4,
  33406. "ts": 1539815917037594,
  33407. "dur": 26,
  33408. "args": {
  33409. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_1/dropout/mul_grad/Mul",
  33410. "op": "Mul"
  33411. }
  33412. },
  33413. {
  33414. "ph": "X",
  33415. "cat": "Op",
  33416. "name": "Mul",
  33417. "pid": 15,
  33418. "tid": 0,
  33419. "ts": 1539815917037794,
  33420. "dur": 16,
  33421. "args": {
  33422. "name": "training/TFOptimizer/gradients/dropout_1/dropout/div_grad/RealDiv",
  33423. "op": "Mul"
  33424. }
  33425. },
  33426. {
  33427. "ph": "X",
  33428. "cat": "Op",
  33429. "name": "Transpose",
  33430. "pid": 15,
  33431. "tid": 2,
  33432. "ts": 1539815917037703,
  33433. "dur": 22,
  33434. "args": {
  33435. "name": "tower_2/training/TFOptimizer/gradients/tower_2/max_pooling2d_1/MaxPool_grad/MaxPoolGrad-2-TransposeNHWCToNCHW-LayoutOptimizer",
  33436. "op": "Transpose"
  33437. }
  33438. },
  33439. {
  33440. "ph": "X",
  33441. "cat": "Op",
  33442. "name": "Mul",
  33443. "pid": 15,
  33444. "tid": 2,
  33445. "ts": 1539815917037782,
  33446. "dur": 26,
  33447. "args": {
  33448. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_1/dropout/mul_grad/Mul",
  33449. "op": "Mul"
  33450. }
  33451. },
  33452. {
  33453. "ph": "X",
  33454. "cat": "Op",
  33455. "name": "Mul",
  33456. "pid": 15,
  33457. "tid": 4,
  33458. "ts": 1539815917037624,
  33459. "dur": 16,
  33460. "args": {
  33461. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_1/dropout/div_grad/RealDiv",
  33462. "op": "Mul"
  33463. }
  33464. },
  33465. {
  33466. "ph": "X",
  33467. "cat": "Op",
  33468. "name": "Transpose",
  33469. "pid": 15,
  33470. "tid": 0,
  33471. "ts": 1539815917037814,
  33472. "dur": 20,
  33473. "args": {
  33474. "name": "training/TFOptimizer/gradients/dropout_1/dropout/div_grad/RealDiv-0-0-TransposeNCHWToNHWC-LayoutOptimizer",
  33475. "op": "Transpose"
  33476. }
  33477. },
  33478. {
  33479. "ph": "X",
  33480. "cat": "Op",
  33481. "name": "Mul",
  33482. "pid": 15,
  33483. "tid": 1,
  33484. "ts": 1539815917037812,
  33485. "dur": 16,
  33486. "args": {
  33487. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_1/dropout/div_grad/RealDiv",
  33488. "op": "Mul"
  33489. }
  33490. },
  33491. {
  33492. "ph": "X",
  33493. "cat": "Op",
  33494. "name": "Transpose",
  33495. "pid": 15,
  33496. "tid": 4,
  33497. "ts": 1539815917037643,
  33498. "dur": 20,
  33499. "args": {
  33500. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_1/dropout/div_grad/RealDiv-0-0-TransposeNCHWToNHWC-LayoutOptimizer",
  33501. "op": "Transpose"
  33502. }
  33503. },
  33504. {
  33505. "ph": "X",
  33506. "cat": "Op",
  33507. "name": "MaxPoolGrad",
  33508. "pid": 15,
  33509. "tid": 3,
  33510. "ts": 1539815917037730,
  33511. "dur": 130,
  33512. "args": {
  33513. "name": "tower_2/training/TFOptimizer/gradients/tower_2/max_pooling2d_1/MaxPool_grad/MaxPoolGrad",
  33514. "op": "MaxPoolGrad"
  33515. }
  33516. },
  33517. {
  33518. "ph": "X",
  33519. "cat": "Op",
  33520. "name": "Transpose",
  33521. "pid": 15,
  33522. "tid": 1,
  33523. "ts": 1539815917037832,
  33524. "dur": 20,
  33525. "args": {
  33526. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_1/dropout/div_grad/RealDiv-0-0-TransposeNCHWToNHWC-LayoutOptimizer",
  33527. "op": "Transpose"
  33528. }
  33529. },
  33530. {
  33531. "ph": "X",
  33532. "cat": "Op",
  33533. "name": "Transpose",
  33534. "pid": 15,
  33535. "tid": 0,
  33536. "ts": 1539815917037838,
  33537. "dur": 22,
  33538. "args": {
  33539. "name": "training/TFOptimizer/gradients/max_pooling2d_1/MaxPool_grad/MaxPoolGrad-2-TransposeNHWCToNCHW-LayoutOptimizer",
  33540. "op": "Transpose"
  33541. }
  33542. },
  33543. {
  33544. "ph": "X",
  33545. "cat": "Op",
  33546. "name": "EluGrad",
  33547. "pid": 15,
  33548. "tid": 0,
  33549. "ts": 1539815917037863,
  33550. "dur": 102,
  33551. "args": {
  33552. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Elu_grad/EluGrad",
  33553. "op": "EluGrad"
  33554. }
  33555. },
  33556. {
  33557. "ph": "X",
  33558. "cat": "Op",
  33559. "name": "Transpose",
  33560. "pid": 15,
  33561. "tid": 4,
  33562. "ts": 1539815917037667,
  33563. "dur": 22,
  33564. "args": {
  33565. "name": "tower_3/training/TFOptimizer/gradients/tower_3/max_pooling2d_1/MaxPool_grad/MaxPoolGrad-2-TransposeNHWCToNCHW-LayoutOptimizer",
  33566. "op": "Transpose"
  33567. }
  33568. },
  33569. {
  33570. "ph": "X",
  33571. "cat": "Op",
  33572. "name": "Transpose",
  33573. "pid": 15,
  33574. "tid": 1,
  33575. "ts": 1539815917037855,
  33576. "dur": 22,
  33577. "args": {
  33578. "name": "tower_1/training/TFOptimizer/gradients/tower_1/max_pooling2d_1/MaxPool_grad/MaxPoolGrad-2-TransposeNHWCToNCHW-LayoutOptimizer",
  33579. "op": "Transpose"
  33580. }
  33581. },
  33582. {
  33583. "ph": "X",
  33584. "cat": "Op",
  33585. "name": "BiasAddGrad",
  33586. "pid": 15,
  33587. "tid": 0,
  33588. "ts": 1539815917037976,
  33589. "dur": 59,
  33590. "args": {
  33591. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/BiasAdd_grad/BiasAddGrad",
  33592. "op": "BiasAddGrad"
  33593. }
  33594. },
  33595. {
  33596. "ph": "X",
  33597. "cat": "Op",
  33598. "name": "MaxPoolGrad",
  33599. "pid": 15,
  33600. "tid": 2,
  33601. "ts": 1539815917037864,
  33602. "dur": 130,
  33603. "args": {
  33604. "name": "training/TFOptimizer/gradients/max_pooling2d_1/MaxPool_grad/MaxPoolGrad",
  33605. "op": "MaxPoolGrad"
  33606. }
  33607. },
  33608. {
  33609. "ph": "X",
  33610. "cat": "Op",
  33611. "name": "MaxPoolGrad",
  33612. "pid": 15,
  33613. "tid": 4,
  33614. "ts": 1539815917037692,
  33615. "dur": 118,
  33616. "args": {
  33617. "name": "tower_3/training/TFOptimizer/gradients/tower_3/max_pooling2d_1/MaxPool_grad/MaxPoolGrad",
  33618. "op": "MaxPoolGrad"
  33619. }
  33620. },
  33621. {
  33622. "ph": "X",
  33623. "cat": "Op",
  33624. "name": "MaxPoolGrad",
  33625. "pid": 15,
  33626. "tid": 1,
  33627. "ts": 1539815917037882,
  33628. "dur": 129,
  33629. "args": {
  33630. "name": "tower_1/training/TFOptimizer/gradients/tower_1/max_pooling2d_1/MaxPool_grad/MaxPoolGrad",
  33631. "op": "MaxPoolGrad"
  33632. }
  33633. },
  33634. {
  33635. "ph": "X",
  33636. "cat": "Op",
  33637. "name": "EluGrad",
  33638. "pid": 15,
  33639. "tid": 2,
  33640. "ts": 1539815917037998,
  33641. "dur": 103,
  33642. "args": {
  33643. "name": "training/TFOptimizer/gradients/conv2d_1/Elu_grad/EluGrad",
  33644. "op": "EluGrad"
  33645. }
  33646. },
  33647. {
  33648. "ph": "X",
  33649. "cat": "Op",
  33650. "name": "EluGrad",
  33651. "pid": 15,
  33652. "tid": 4,
  33653. "ts": 1539815917037815,
  33654. "dur": 103,
  33655. "args": {
  33656. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Elu_grad/EluGrad",
  33657. "op": "EluGrad"
  33658. }
  33659. },
  33660. {
  33661. "ph": "X",
  33662. "cat": "Op",
  33663. "name": "EluGrad",
  33664. "pid": 15,
  33665. "tid": 1,
  33666. "ts": 1539815917038015,
  33667. "dur": 102,
  33668. "args": {
  33669. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Elu_grad/EluGrad",
  33670. "op": "EluGrad"
  33671. }
  33672. },
  33673. {
  33674. "ph": "X",
  33675. "cat": "Op",
  33676. "name": "BiasAddGrad",
  33677. "pid": 15,
  33678. "tid": 0,
  33679. "ts": 1539815917038112,
  33680. "dur": 60,
  33681. "args": {
  33682. "name": "training/TFOptimizer/gradients/conv2d_1/BiasAdd_grad/BiasAddGrad",
  33683. "op": "BiasAddGrad"
  33684. }
  33685. },
  33686. {
  33687. "ph": "X",
  33688. "cat": "Op",
  33689. "name": "BiasAddGrad",
  33690. "pid": 15,
  33691. "tid": 3,
  33692. "ts": 1539815917037929,
  33693. "dur": 55,
  33694. "args": {
  33695. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/BiasAdd_grad/BiasAddGrad",
  33696. "op": "BiasAddGrad"
  33697. }
  33698. },
  33699. {
  33700. "ph": "X",
  33701. "cat": "Op",
  33702. "name": "BiasAddGrad",
  33703. "pid": 15,
  33704. "tid": 1,
  33705. "ts": 1539815917038128,
  33706. "dur": 61,
  33707. "args": {
  33708. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/BiasAdd_grad/BiasAddGrad",
  33709. "op": "BiasAddGrad"
  33710. }
  33711. },
  33712. {
  33713. "ph": "X",
  33714. "cat": "Op",
  33715. "name": "BiasAddGrad",
  33716. "pid": 15,
  33717. "tid": 3,
  33718. "ts": 1539815917038015,
  33719. "dur": 33,
  33720. "args": {
  33721. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/BiasAdd_grad/BiasAddGrad",
  33722. "op": "BiasAddGrad"
  33723. }
  33724. },
  33725. {
  33726. "ph": "X",
  33727. "cat": "Op",
  33728. "name": "BiasAddGrad",
  33729. "pid": 15,
  33730. "tid": 3,
  33731. "ts": 1539815917038052,
  33732. "dur": 5,
  33733. "args": {
  33734. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/BiasAdd_grad/BiasAddGrad",
  33735. "op": "BiasAddGrad"
  33736. }
  33737. },
  33738. {
  33739. "ph": "X",
  33740. "cat": "Op",
  33741. "name": "BiasAddGrad",
  33742. "pid": 15,
  33743. "tid": 3,
  33744. "ts": 1539815917038060,
  33745. "dur": 4,
  33746. "args": {
  33747. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/BiasAdd_grad/BiasAddGrad",
  33748. "op": "BiasAddGrad"
  33749. }
  33750. },
  33751. {
  33752. "ph": "X",
  33753. "cat": "Op",
  33754. "name": "BiasAddGrad",
  33755. "pid": 15,
  33756. "tid": 3,
  33757. "ts": 1539815917038068,
  33758. "dur": 34,
  33759. "args": {
  33760. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/BiasAdd_grad/BiasAddGrad",
  33761. "op": "BiasAddGrad"
  33762. }
  33763. },
  33764. {
  33765. "ph": "X",
  33766. "cat": "Op",
  33767. "name": "BiasAddGrad",
  33768. "pid": 15,
  33769. "tid": 2,
  33770. "ts": 1539815917038107,
  33771. "dur": 5,
  33772. "args": {
  33773. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/BiasAdd_grad/BiasAddGrad",
  33774. "op": "BiasAddGrad"
  33775. }
  33776. },
  33777. {
  33778. "ph": "X",
  33779. "cat": "Op",
  33780. "name": "BiasAddGrad",
  33781. "pid": 15,
  33782. "tid": 2,
  33783. "ts": 1539815917038115,
  33784. "dur": 5,
  33785. "args": {
  33786. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/BiasAdd_grad/BiasAddGrad",
  33787. "op": "BiasAddGrad"
  33788. }
  33789. },
  33790. {
  33791. "ph": "X",
  33792. "cat": "Op",
  33793. "name": "Conv2DBackpropFilter",
  33794. "pid": 15,
  33795. "tid": 0,
  33796. "ts": 1539815917038184,
  33797. "dur": 1957,
  33798. "args": {
  33799. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  33800. "op": "Conv2DBackpropFilter"
  33801. }
  33802. },
  33803. {
  33804. "ph": "X",
  33805. "cat": "Op",
  33806. "name": "BiasAddGrad",
  33807. "pid": 15,
  33808. "tid": 1,
  33809. "ts": 1539815917038204,
  33810. "dur": 34,
  33811. "args": {
  33812. "name": "training/TFOptimizer/gradients/conv2d_1/BiasAdd_grad/BiasAddGrad",
  33813. "op": "BiasAddGrad"
  33814. }
  33815. },
  33816. {
  33817. "ph": "X",
  33818. "cat": "Op",
  33819. "name": "BiasAddGrad",
  33820. "pid": 15,
  33821. "tid": 1,
  33822. "ts": 1539815917038242,
  33823. "dur": 5,
  33824. "args": {
  33825. "name": "training/TFOptimizer/gradients/conv2d_1/BiasAdd_grad/BiasAddGrad",
  33826. "op": "BiasAddGrad"
  33827. }
  33828. },
  33829. {
  33830. "ph": "X",
  33831. "cat": "Op",
  33832. "name": "BiasAddGrad",
  33833. "pid": 15,
  33834. "tid": 2,
  33835. "ts": 1539815917038220,
  33836. "dur": 34,
  33837. "args": {
  33838. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/BiasAdd_grad/BiasAddGrad",
  33839. "op": "BiasAddGrad"
  33840. }
  33841. },
  33842. {
  33843. "ph": "X",
  33844. "cat": "Op",
  33845. "name": "BiasAddGrad",
  33846. "pid": 15,
  33847. "tid": 1,
  33848. "ts": 1539815917038250,
  33849. "dur": 5,
  33850. "args": {
  33851. "name": "training/TFOptimizer/gradients/conv2d_1/BiasAdd_grad/BiasAddGrad",
  33852. "op": "BiasAddGrad"
  33853. }
  33854. },
  33855. {
  33856. "ph": "X",
  33857. "cat": "Op",
  33858. "name": "BiasAddGrad",
  33859. "pid": 15,
  33860. "tid": 1,
  33861. "ts": 1539815917038258,
  33862. "dur": 5,
  33863. "args": {
  33864. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/BiasAdd_grad/BiasAddGrad",
  33865. "op": "BiasAddGrad"
  33866. }
  33867. },
  33868. {
  33869. "ph": "X",
  33870. "cat": "Op",
  33871. "name": "Conv2DBackpropFilter",
  33872. "pid": 15,
  33873. "tid": 3,
  33874. "ts": 1539815917038239,
  33875. "dur": 2246,
  33876. "args": {
  33877. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  33878. "op": "Conv2DBackpropFilter"
  33879. }
  33880. },
  33881. {
  33882. "ph": "X",
  33883. "cat": "Op",
  33884. "name": "BiasAddGrad",
  33885. "pid": 15,
  33886. "tid": 1,
  33887. "ts": 1539815917038267,
  33888. "dur": 5,
  33889. "args": {
  33890. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/BiasAdd_grad/BiasAddGrad",
  33891. "op": "BiasAddGrad"
  33892. }
  33893. },
  33894. {
  33895. "ph": "X",
  33896. "cat": "Op",
  33897. "name": "Conv2DBackpropFilter",
  33898. "pid": 15,
  33899. "tid": 1,
  33900. "ts": 1539815917038372,
  33901. "dur": 2240,
  33902. "args": {
  33903. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  33904. "op": "Conv2DBackpropFilter"
  33905. }
  33906. },
  33907. {
  33908. "ph": "X",
  33909. "cat": "Op",
  33910. "name": "Conv2DBackpropFilter",
  33911. "pid": 15,
  33912. "tid": 2,
  33913. "ts": 1539815917038390,
  33914. "dur": 2250,
  33915. "args": {
  33916. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  33917. "op": "Conv2DBackpropFilter"
  33918. }
  33919. },
  33920. {
  33921. "ph": "X",
  33922. "cat": "Op",
  33923. "name": "Conv2DBackpropFilter",
  33924. "pid": 15,
  33925. "tid": 0,
  33926. "ts": 1539815917040206,
  33927. "dur": 1962,
  33928. "args": {
  33929. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  33930. "op": "Conv2DBackpropFilter"
  33931. }
  33932. },
  33933. {
  33934. "ph": "X",
  33935. "cat": "Op",
  33936. "name": "Conv2DBackpropFilter",
  33937. "pid": 15,
  33938. "tid": 3,
  33939. "ts": 1539815917040548,
  33940. "dur": 2253,
  33941. "args": {
  33942. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  33943. "op": "Conv2DBackpropFilter"
  33944. }
  33945. },
  33946. {
  33947. "ph": "X",
  33948. "cat": "Op",
  33949. "name": "Conv2DBackpropFilter",
  33950. "pid": 15,
  33951. "tid": 1,
  33952. "ts": 1539815917040675,
  33953. "dur": 2249,
  33954. "args": {
  33955. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  33956. "op": "Conv2DBackpropFilter"
  33957. }
  33958. },
  33959. {
  33960. "ph": "X",
  33961. "cat": "Op",
  33962. "name": "Conv2DBackpropFilter",
  33963. "pid": 15,
  33964. "tid": 2,
  33965. "ts": 1539815917040703,
  33966. "dur": 2245,
  33967. "args": {
  33968. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  33969. "op": "Conv2DBackpropFilter"
  33970. }
  33971. },
  33972. {
  33973. "ph": "X",
  33974. "cat": "Op",
  33975. "name": "Conv2DBackpropFilter",
  33976. "pid": 15,
  33977. "tid": 0,
  33978. "ts": 1539815917042234,
  33979. "dur": 3,
  33980. "args": {
  33981. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  33982. "op": "Conv2DBackpropFilter"
  33983. }
  33984. },
  33985. {
  33986. "ph": "X",
  33987. "cat": "Op",
  33988. "name": "Conv2DBackpropFilter",
  33989. "pid": 15,
  33990. "tid": 0,
  33991. "ts": 1539815917042244,
  33992. "dur": 4,
  33993. "args": {
  33994. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  33995. "op": "Conv2DBackpropFilter"
  33996. }
  33997. },
  33998. {
  33999. "ph": "X",
  34000. "cat": "Op",
  34001. "name": "Conv2DBackpropFilter",
  34002. "pid": 15,
  34003. "tid": 0,
  34004. "ts": 1539815917042254,
  34005. "dur": 4,
  34006. "args": {
  34007. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34008. "op": "Conv2DBackpropFilter"
  34009. }
  34010. },
  34011. {
  34012. "ph": "X",
  34013. "cat": "Op",
  34014. "name": "Conv2DBackpropFilter",
  34015. "pid": 15,
  34016. "tid": 0,
  34017. "ts": 1539815917042264,
  34018. "dur": 1634,
  34019. "args": {
  34020. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34021. "op": "Conv2DBackpropFilter"
  34022. }
  34023. },
  34024. {
  34025. "ph": "X",
  34026. "cat": "Op",
  34027. "name": "Conv2DBackpropFilter",
  34028. "pid": 15,
  34029. "tid": 3,
  34030. "ts": 1539815917042878,
  34031. "dur": 4,
  34032. "args": {
  34033. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34034. "op": "Conv2DBackpropFilter"
  34035. }
  34036. },
  34037. {
  34038. "ph": "X",
  34039. "cat": "Op",
  34040. "name": "Conv2DBackpropFilter",
  34041. "pid": 15,
  34042. "tid": 3,
  34043. "ts": 1539815917042890,
  34044. "dur": 4,
  34045. "args": {
  34046. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34047. "op": "Conv2DBackpropFilter"
  34048. }
  34049. },
  34050. {
  34051. "ph": "X",
  34052. "cat": "Op",
  34053. "name": "Conv2DBackpropFilter",
  34054. "pid": 15,
  34055. "tid": 3,
  34056. "ts": 1539815917042899,
  34057. "dur": 3,
  34058. "args": {
  34059. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34060. "op": "Conv2DBackpropFilter"
  34061. }
  34062. },
  34063. {
  34064. "ph": "X",
  34065. "cat": "Op",
  34066. "name": "Conv2DBackpropFilter",
  34067. "pid": 15,
  34068. "tid": 3,
  34069. "ts": 1539815917042914,
  34070. "dur": 1873,
  34071. "args": {
  34072. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34073. "op": "Conv2DBackpropFilter"
  34074. }
  34075. },
  34076. {
  34077. "ph": "X",
  34078. "cat": "Op",
  34079. "name": "Conv2DBackpropFilter",
  34080. "pid": 15,
  34081. "tid": 1,
  34082. "ts": 1539815917042996,
  34083. "dur": 4,
  34084. "args": {
  34085. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34086. "op": "Conv2DBackpropFilter"
  34087. }
  34088. },
  34089. {
  34090. "ph": "X",
  34091. "cat": "Op",
  34092. "name": "Conv2DBackpropFilter",
  34093. "pid": 15,
  34094. "tid": 1,
  34095. "ts": 1539815917043009,
  34096. "dur": 4,
  34097. "args": {
  34098. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34099. "op": "Conv2DBackpropFilter"
  34100. }
  34101. },
  34102. {
  34103. "ph": "X",
  34104. "cat": "Op",
  34105. "name": "Conv2DBackpropFilter",
  34106. "pid": 15,
  34107. "tid": 1,
  34108. "ts": 1539815917043016,
  34109. "dur": 4,
  34110. "args": {
  34111. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34112. "op": "Conv2DBackpropFilter"
  34113. }
  34114. },
  34115. {
  34116. "ph": "X",
  34117. "cat": "Op",
  34118. "name": "Conv2DBackpropFilter",
  34119. "pid": 15,
  34120. "tid": 2,
  34121. "ts": 1539815917043019,
  34122. "dur": 3,
  34123. "args": {
  34124. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34125. "op": "Conv2DBackpropFilter"
  34126. }
  34127. },
  34128. {
  34129. "ph": "X",
  34130. "cat": "Op",
  34131. "name": "Conv2DBackpropFilter",
  34132. "pid": 15,
  34133. "tid": 1,
  34134. "ts": 1539815917043027,
  34135. "dur": 5,
  34136. "args": {
  34137. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34138. "op": "Conv2DBackpropFilter"
  34139. }
  34140. },
  34141. {
  34142. "ph": "X",
  34143. "cat": "Op",
  34144. "name": "Conv2DBackpropFilter",
  34145. "pid": 15,
  34146. "tid": 2,
  34147. "ts": 1539815917043029,
  34148. "dur": 1871,
  34149. "args": {
  34150. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34151. "op": "Conv2DBackpropFilter"
  34152. }
  34153. },
  34154. {
  34155. "ph": "X",
  34156. "cat": "Op",
  34157. "name": "Conv2DBackpropFilter",
  34158. "pid": 15,
  34159. "tid": 1,
  34160. "ts": 1539815917043039,
  34161. "dur": 4,
  34162. "args": {
  34163. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34164. "op": "Conv2DBackpropFilter"
  34165. }
  34166. },
  34167. {
  34168. "ph": "X",
  34169. "cat": "Op",
  34170. "name": "Conv2DBackpropFilter",
  34171. "pid": 15,
  34172. "tid": 1,
  34173. "ts": 1539815917043048,
  34174. "dur": 1872,
  34175. "args": {
  34176. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34177. "op": "Conv2DBackpropFilter"
  34178. }
  34179. },
  34180. {
  34181. "ph": "X",
  34182. "cat": "Op",
  34183. "name": "Conv2DBackpropFilter",
  34184. "pid": 15,
  34185. "tid": 0,
  34186. "ts": 1539815917043964,
  34187. "dur": 3,
  34188. "args": {
  34189. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34190. "op": "Conv2DBackpropFilter"
  34191. }
  34192. },
  34193. {
  34194. "ph": "X",
  34195. "cat": "Op",
  34196. "name": "Conv2DBackpropFilter",
  34197. "pid": 15,
  34198. "tid": 0,
  34199. "ts": 1539815917043975,
  34200. "dur": 4,
  34201. "args": {
  34202. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34203. "op": "Conv2DBackpropFilter"
  34204. }
  34205. },
  34206. {
  34207. "ph": "X",
  34208. "cat": "Op",
  34209. "name": "Conv2DBackpropFilter",
  34210. "pid": 15,
  34211. "tid": 0,
  34212. "ts": 1539815917043985,
  34213. "dur": 3,
  34214. "args": {
  34215. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34216. "op": "Conv2DBackpropFilter"
  34217. }
  34218. },
  34219. {
  34220. "ph": "X",
  34221. "cat": "Op",
  34222. "name": "Conv2DBackpropFilter",
  34223. "pid": 15,
  34224. "tid": 0,
  34225. "ts": 1539815917043994,
  34226. "dur": 1639,
  34227. "args": {
  34228. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34229. "op": "Conv2DBackpropFilter"
  34230. }
  34231. },
  34232. {
  34233. "ph": "X",
  34234. "cat": "Op",
  34235. "name": "Conv2DBackpropFilter",
  34236. "pid": 15,
  34237. "tid": 3,
  34238. "ts": 1539815917044852,
  34239. "dur": 3,
  34240. "args": {
  34241. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34242. "op": "Conv2DBackpropFilter"
  34243. }
  34244. },
  34245. {
  34246. "ph": "X",
  34247. "cat": "Op",
  34248. "name": "Conv2DBackpropFilter",
  34249. "pid": 15,
  34250. "tid": 3,
  34251. "ts": 1539815917044869,
  34252. "dur": 4,
  34253. "args": {
  34254. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34255. "op": "Conv2DBackpropFilter"
  34256. }
  34257. },
  34258. {
  34259. "ph": "X",
  34260. "cat": "Op",
  34261. "name": "Conv2DBackpropFilter",
  34262. "pid": 15,
  34263. "tid": 3,
  34264. "ts": 1539815917044881,
  34265. "dur": 4,
  34266. "args": {
  34267. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34268. "op": "Conv2DBackpropFilter"
  34269. }
  34270. },
  34271. {
  34272. "ph": "X",
  34273. "cat": "Op",
  34274. "name": "Conv2DBackpropFilter",
  34275. "pid": 15,
  34276. "tid": 3,
  34277. "ts": 1539815917044891,
  34278. "dur": 1874,
  34279. "args": {
  34280. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34281. "op": "Conv2DBackpropFilter"
  34282. }
  34283. },
  34284. {
  34285. "ph": "X",
  34286. "cat": "Op",
  34287. "name": "Conv2DBackpropFilter",
  34288. "pid": 15,
  34289. "tid": 1,
  34290. "ts": 1539815917044961,
  34291. "dur": 4,
  34292. "args": {
  34293. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34294. "op": "Conv2DBackpropFilter"
  34295. }
  34296. },
  34297. {
  34298. "ph": "X",
  34299. "cat": "Op",
  34300. "name": "Conv2DBackpropFilter",
  34301. "pid": 15,
  34302. "tid": 1,
  34303. "ts": 1539815917044972,
  34304. "dur": 5,
  34305. "args": {
  34306. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34307. "op": "Conv2DBackpropFilter"
  34308. }
  34309. },
  34310. {
  34311. "ph": "X",
  34312. "cat": "Op",
  34313. "name": "Conv2DBackpropFilter",
  34314. "pid": 15,
  34315. "tid": 1,
  34316. "ts": 1539815917044980,
  34317. "dur": 4,
  34318. "args": {
  34319. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34320. "op": "Conv2DBackpropFilter"
  34321. }
  34322. },
  34323. {
  34324. "ph": "X",
  34325. "cat": "Op",
  34326. "name": "Conv2DBackpropFilter",
  34327. "pid": 15,
  34328. "tid": 2,
  34329. "ts": 1539815917044982,
  34330. "dur": 4,
  34331. "args": {
  34332. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34333. "op": "Conv2DBackpropFilter"
  34334. }
  34335. },
  34336. {
  34337. "ph": "X",
  34338. "cat": "Op",
  34339. "name": "Conv2DBackpropFilter",
  34340. "pid": 15,
  34341. "tid": 1,
  34342. "ts": 1539815917044991,
  34343. "dur": 1873,
  34344. "args": {
  34345. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34346. "op": "Conv2DBackpropFilter"
  34347. }
  34348. },
  34349. {
  34350. "ph": "X",
  34351. "cat": "Op",
  34352. "name": "Conv2DBackpropFilter",
  34353. "pid": 15,
  34354. "tid": 2,
  34355. "ts": 1539815917044995,
  34356. "dur": 5,
  34357. "args": {
  34358. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34359. "op": "Conv2DBackpropFilter"
  34360. }
  34361. },
  34362. {
  34363. "ph": "X",
  34364. "cat": "Op",
  34365. "name": "Conv2DBackpropFilter",
  34366. "pid": 15,
  34367. "tid": 2,
  34368. "ts": 1539815917045010,
  34369. "dur": 4,
  34370. "args": {
  34371. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34372. "op": "Conv2DBackpropFilter"
  34373. }
  34374. },
  34375. {
  34376. "ph": "X",
  34377. "cat": "Op",
  34378. "name": "Conv2DBackpropFilter",
  34379. "pid": 15,
  34380. "tid": 2,
  34381. "ts": 1539815917045020,
  34382. "dur": 1872,
  34383. "args": {
  34384. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34385. "op": "Conv2DBackpropFilter"
  34386. }
  34387. },
  34388. {
  34389. "ph": "X",
  34390. "cat": "Op",
  34391. "name": "Conv2DBackpropFilter",
  34392. "pid": 15,
  34393. "tid": 0,
  34394. "ts": 1539815917045680,
  34395. "dur": 107,
  34396. "args": {
  34397. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34398. "op": "Conv2DBackpropFilter"
  34399. }
  34400. },
  34401. {
  34402. "ph": "X",
  34403. "cat": "Op",
  34404. "name": "Conv2DBackpropFilter",
  34405. "pid": 15,
  34406. "tid": 0,
  34407. "ts": 1539815917045956,
  34408. "dur": 295,
  34409. "args": {
  34410. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34411. "op": "Conv2DBackpropFilter"
  34412. }
  34413. },
  34414. {
  34415. "ph": "X",
  34416. "cat": "Op",
  34417. "name": "Conv2DBackpropFilter",
  34418. "pid": 15,
  34419. "tid": 4,
  34420. "ts": 1539815917045791,
  34421. "dur": 160,
  34422. "args": {
  34423. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34424. "op": "Conv2DBackpropFilter"
  34425. }
  34426. },
  34427. {
  34428. "ph": "X",
  34429. "cat": "Op",
  34430. "name": "Conv2DBackpropFilter",
  34431. "pid": 15,
  34432. "tid": 0,
  34433. "ts": 1539815917046256,
  34434. "dur": 4,
  34435. "args": {
  34436. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34437. "op": "Conv2DBackpropFilter"
  34438. }
  34439. },
  34440. {
  34441. "ph": "X",
  34442. "cat": "Op",
  34443. "name": "Conv2DBackpropFilter",
  34444. "pid": 15,
  34445. "tid": 0,
  34446. "ts": 1539815917046263,
  34447. "dur": 673,
  34448. "args": {
  34449. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34450. "op": "Conv2DBackpropFilter"
  34451. }
  34452. },
  34453. {
  34454. "ph": "X",
  34455. "cat": "Op",
  34456. "name": "Conv2DBackpropFilter",
  34457. "pid": 15,
  34458. "tid": 0,
  34459. "ts": 1539815917046941,
  34460. "dur": 74,
  34461. "args": {
  34462. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34463. "op": "Conv2DBackpropFilter"
  34464. }
  34465. },
  34466. {
  34467. "ph": "X",
  34468. "cat": "Op",
  34469. "name": "Conv2DBackpropFilter",
  34470. "pid": 15,
  34471. "tid": 3,
  34472. "ts": 1539815917046830,
  34473. "dur": 120,
  34474. "args": {
  34475. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34476. "op": "Conv2DBackpropFilter"
  34477. }
  34478. },
  34479. {
  34480. "ph": "X",
  34481. "cat": "Op",
  34482. "name": "Conv2DBackpropFilter",
  34483. "pid": 15,
  34484. "tid": 0,
  34485. "ts": 1539815917047125,
  34486. "dur": 299,
  34487. "args": {
  34488. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34489. "op": "Conv2DBackpropFilter"
  34490. }
  34491. },
  34492. {
  34493. "ph": "X",
  34494. "cat": "Op",
  34495. "name": "Conv2DBackpropFilter",
  34496. "pid": 15,
  34497. "tid": 1,
  34498. "ts": 1539815917046955,
  34499. "dur": 165,
  34500. "args": {
  34501. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34502. "op": "Conv2DBackpropFilter"
  34503. }
  34504. },
  34505. {
  34506. "ph": "X",
  34507. "cat": "Op",
  34508. "name": "Conv2DBackpropFilter",
  34509. "pid": 15,
  34510. "tid": 0,
  34511. "ts": 1539815917047428,
  34512. "dur": 4,
  34513. "args": {
  34514. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34515. "op": "Conv2DBackpropFilter"
  34516. }
  34517. },
  34518. {
  34519. "ph": "X",
  34520. "cat": "Op",
  34521. "name": "Conv2DBackpropFilter",
  34522. "pid": 15,
  34523. "tid": 0,
  34524. "ts": 1539815917047435,
  34525. "dur": 765,
  34526. "args": {
  34527. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34528. "op": "Conv2DBackpropFilter"
  34529. }
  34530. },
  34531. {
  34532. "ph": "X",
  34533. "cat": "Op",
  34534. "name": "Conv2DBackpropFilter",
  34535. "pid": 15,
  34536. "tid": 0,
  34537. "ts": 1539815917048205,
  34538. "dur": 78,
  34539. "args": {
  34540. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34541. "op": "Conv2DBackpropFilter"
  34542. }
  34543. },
  34544. {
  34545. "ph": "X",
  34546. "cat": "Op",
  34547. "name": "Conv2DBackpropFilter",
  34548. "pid": 15,
  34549. "tid": 2,
  34550. "ts": 1539815917046916,
  34551. "dur": 120,
  34552. "args": {
  34553. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34554. "op": "Conv2DBackpropFilter"
  34555. }
  34556. },
  34557. {
  34558. "ph": "X",
  34559. "cat": "Op",
  34560. "name": "Conv2DBackpropFilter",
  34561. "pid": 15,
  34562. "tid": 1,
  34563. "ts": 1539815917047212,
  34564. "dur": 307,
  34565. "args": {
  34566. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34567. "op": "Conv2DBackpropFilter"
  34568. }
  34569. },
  34570. {
  34571. "ph": "X",
  34572. "cat": "Op",
  34573. "name": "Conv2DBackpropFilter",
  34574. "pid": 15,
  34575. "tid": 2,
  34576. "ts": 1539815917047041,
  34577. "dur": 167,
  34578. "args": {
  34579. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34580. "op": "Conv2DBackpropFilter"
  34581. }
  34582. },
  34583. {
  34584. "ph": "X",
  34585. "cat": "Op",
  34586. "name": "Conv2DBackpropFilter",
  34587. "pid": 15,
  34588. "tid": 4,
  34589. "ts": 1539815917046946,
  34590. "dur": 120,
  34591. "args": {
  34592. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34593. "op": "Conv2DBackpropFilter"
  34594. }
  34595. },
  34596. {
  34597. "ph": "X",
  34598. "cat": "Op",
  34599. "name": "Conv2DBackpropFilter",
  34600. "pid": 15,
  34601. "tid": 2,
  34602. "ts": 1539815917047243,
  34603. "dur": 315,
  34604. "args": {
  34605. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34606. "op": "Conv2DBackpropFilter"
  34607. }
  34608. },
  34609. {
  34610. "ph": "X",
  34611. "cat": "Op",
  34612. "name": "Conv2DBackpropFilter",
  34613. "pid": 15,
  34614. "tid": 1,
  34615. "ts": 1539815917047523,
  34616. "dur": 4,
  34617. "args": {
  34618. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34619. "op": "Conv2DBackpropFilter"
  34620. }
  34621. },
  34622. {
  34623. "ph": "X",
  34624. "cat": "Op",
  34625. "name": "Conv2DBackpropFilter",
  34626. "pid": 15,
  34627. "tid": 3,
  34628. "ts": 1539815917047070,
  34629. "dur": 168,
  34630. "args": {
  34631. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34632. "op": "Conv2DBackpropFilter"
  34633. }
  34634. },
  34635. {
  34636. "ph": "X",
  34637. "cat": "Op",
  34638. "name": "Conv2DBackpropFilter",
  34639. "pid": 15,
  34640. "tid": 1,
  34641. "ts": 1539815917047531,
  34642. "dur": 757,
  34643. "args": {
  34644. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34645. "op": "Conv2DBackpropFilter"
  34646. }
  34647. },
  34648. {
  34649. "ph": "X",
  34650. "cat": "Op",
  34651. "name": "Conv2DBackpropFilter",
  34652. "pid": 15,
  34653. "tid": 2,
  34654. "ts": 1539815917047563,
  34655. "dur": 4,
  34656. "args": {
  34657. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34658. "op": "Conv2DBackpropFilter"
  34659. }
  34660. },
  34661. {
  34662. "ph": "X",
  34663. "cat": "Op",
  34664. "name": "Conv2DBackpropFilter",
  34665. "pid": 15,
  34666. "tid": 0,
  34667. "ts": 1539815917048292,
  34668. "dur": 79,
  34669. "args": {
  34670. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34671. "op": "Conv2DBackpropFilter"
  34672. }
  34673. },
  34674. {
  34675. "ph": "X",
  34676. "cat": "Op",
  34677. "name": "Conv2DBackpropFilter",
  34678. "pid": 15,
  34679. "tid": 2,
  34680. "ts": 1539815917047570,
  34681. "dur": 758,
  34682. "args": {
  34683. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34684. "op": "Conv2DBackpropFilter"
  34685. }
  34686. },
  34687. {
  34688. "ph": "X",
  34689. "cat": "Op",
  34690. "name": "Conv2DBackpropFilter",
  34691. "pid": 15,
  34692. "tid": 1,
  34693. "ts": 1539815917048333,
  34694. "dur": 79,
  34695. "args": {
  34696. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34697. "op": "Conv2DBackpropFilter"
  34698. }
  34699. },
  34700. {
  34701. "ph": "X",
  34702. "cat": "Op",
  34703. "name": "Conv2DBackpropFilter",
  34704. "pid": 15,
  34705. "tid": 4,
  34706. "ts": 1539815917047069,
  34707. "dur": 107,
  34708. "args": {
  34709. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34710. "op": "Conv2DBackpropFilter"
  34711. }
  34712. },
  34713. {
  34714. "ph": "X",
  34715. "cat": "Op",
  34716. "name": "Conv2DBackpropFilter",
  34717. "pid": 15,
  34718. "tid": 3,
  34719. "ts": 1539815917047340,
  34720. "dur": 297,
  34721. "args": {
  34722. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34723. "op": "Conv2DBackpropFilter"
  34724. }
  34725. },
  34726. {
  34727. "ph": "X",
  34728. "cat": "Op",
  34729. "name": "Conv2DBackpropFilter",
  34730. "pid": 15,
  34731. "tid": 4,
  34732. "ts": 1539815917047179,
  34733. "dur": 157,
  34734. "args": {
  34735. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34736. "op": "Conv2DBackpropFilter"
  34737. }
  34738. },
  34739. {
  34740. "ph": "X",
  34741. "cat": "Op",
  34742. "name": "Conv2DBackpropFilter",
  34743. "pid": 15,
  34744. "tid": 3,
  34745. "ts": 1539815917047641,
  34746. "dur": 4,
  34747. "args": {
  34748. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34749. "op": "Conv2DBackpropFilter"
  34750. }
  34751. },
  34752. {
  34753. "ph": "X",
  34754. "cat": "Op",
  34755. "name": "Conv2DBackpropFilter",
  34756. "pid": 15,
  34757. "tid": 3,
  34758. "ts": 1539815917047655,
  34759. "dur": 671,
  34760. "args": {
  34761. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34762. "op": "Conv2DBackpropFilter"
  34763. }
  34764. },
  34765. {
  34766. "ph": "X",
  34767. "cat": "Op",
  34768. "name": "Conv2DBackpropFilter",
  34769. "pid": 15,
  34770. "tid": 2,
  34771. "ts": 1539815917048330,
  34772. "dur": 77,
  34773. "args": {
  34774. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34775. "op": "Conv2DBackpropFilter"
  34776. }
  34777. },
  34778. {
  34779. "ph": "X",
  34780. "cat": "Op",
  34781. "name": "Conv2DBackpropFilter",
  34782. "pid": 15,
  34783. "tid": 3,
  34784. "ts": 1539815917048333,
  34785. "dur": 121,
  34786. "args": {
  34787. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34788. "op": "Conv2DBackpropFilter"
  34789. }
  34790. },
  34791. {
  34792. "ph": "X",
  34793. "cat": "Op",
  34794. "name": "Conv2DBackpropFilter",
  34795. "pid": 15,
  34796. "tid": 0,
  34797. "ts": 1539815917048630,
  34798. "dur": 317,
  34799. "args": {
  34800. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34801. "op": "Conv2DBackpropFilter"
  34802. }
  34803. },
  34804. {
  34805. "ph": "X",
  34806. "cat": "Op",
  34807. "name": "Conv2DBackpropFilter",
  34808. "pid": 15,
  34809. "tid": 1,
  34810. "ts": 1539815917048458,
  34811. "dur": 167,
  34812. "args": {
  34813. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34814. "op": "Conv2DBackpropFilter"
  34815. }
  34816. },
  34817. {
  34818. "ph": "X",
  34819. "cat": "Op",
  34820. "name": "Conv2DBackpropFilter",
  34821. "pid": 15,
  34822. "tid": 0,
  34823. "ts": 1539815917048952,
  34824. "dur": 5,
  34825. "args": {
  34826. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34827. "op": "Conv2DBackpropFilter"
  34828. }
  34829. },
  34830. {
  34831. "ph": "X",
  34832. "cat": "Op",
  34833. "name": "Conv2DBackpropFilter",
  34834. "pid": 15,
  34835. "tid": 0,
  34836. "ts": 1539815917048960,
  34837. "dur": 761,
  34838. "args": {
  34839. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34840. "op": "Conv2DBackpropFilter"
  34841. }
  34842. },
  34843. {
  34844. "ph": "X",
  34845. "cat": "Op",
  34846. "name": "Conv2DBackpropFilter",
  34847. "pid": 15,
  34848. "tid": 0,
  34849. "ts": 1539815917049726,
  34850. "dur": 78,
  34851. "args": {
  34852. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34853. "op": "Conv2DBackpropFilter"
  34854. }
  34855. },
  34856. {
  34857. "ph": "X",
  34858. "cat": "Op",
  34859. "name": "Conv2DBackpropFilter",
  34860. "pid": 15,
  34861. "tid": 2,
  34862. "ts": 1539815917048421,
  34863. "dur": 120,
  34864. "args": {
  34865. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34866. "op": "Conv2DBackpropFilter"
  34867. }
  34868. },
  34869. {
  34870. "ph": "X",
  34871. "cat": "Op",
  34872. "name": "Conv2DBackpropFilter",
  34873. "pid": 15,
  34874. "tid": 1,
  34875. "ts": 1539815917048717,
  34876. "dur": 314,
  34877. "args": {
  34878. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34879. "op": "Conv2DBackpropFilter"
  34880. }
  34881. },
  34882. {
  34883. "ph": "X",
  34884. "cat": "Op",
  34885. "name": "Conv2DBackpropFilter",
  34886. "pid": 15,
  34887. "tid": 2,
  34888. "ts": 1539815917048545,
  34889. "dur": 167,
  34890. "args": {
  34891. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34892. "op": "Conv2DBackpropFilter"
  34893. }
  34894. },
  34895. {
  34896. "ph": "X",
  34897. "cat": "Op",
  34898. "name": "Conv2DBackpropFilter",
  34899. "pid": 15,
  34900. "tid": 1,
  34901. "ts": 1539815917049036,
  34902. "dur": 4,
  34903. "args": {
  34904. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34905. "op": "Conv2DBackpropFilter"
  34906. }
  34907. },
  34908. {
  34909. "ph": "X",
  34910. "cat": "Op",
  34911. "name": "Conv2DBackpropFilter",
  34912. "pid": 15,
  34913. "tid": 3,
  34914. "ts": 1539815917048460,
  34915. "dur": 120,
  34916. "args": {
  34917. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34918. "op": "Conv2DBackpropFilter"
  34919. }
  34920. },
  34921. {
  34922. "ph": "X",
  34923. "cat": "Op",
  34924. "name": "Conv2DBackpropFilter",
  34925. "pid": 15,
  34926. "tid": 1,
  34927. "ts": 1539815917049043,
  34928. "dur": 731,
  34929. "args": {
  34930. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34931. "op": "Conv2DBackpropFilter"
  34932. }
  34933. },
  34934. {
  34935. "ph": "X",
  34936. "cat": "Op",
  34937. "name": "Conv2DBackpropFilter",
  34938. "pid": 15,
  34939. "tid": 4,
  34940. "ts": 1539815917048470,
  34941. "dur": 4,
  34942. "args": {
  34943. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34944. "op": "Conv2DBackpropFilter"
  34945. }
  34946. },
  34947. {
  34948. "ph": "X",
  34949. "cat": "Op",
  34950. "name": "Conv2DBackpropFilter",
  34951. "pid": 15,
  34952. "tid": 2,
  34953. "ts": 1539815917048753,
  34954. "dur": 311,
  34955. "args": {
  34956. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34957. "op": "Conv2DBackpropFilter"
  34958. }
  34959. },
  34960. {
  34961. "ph": "X",
  34962. "cat": "Op",
  34963. "name": "Conv2DBackpropFilter",
  34964. "pid": 15,
  34965. "tid": 4,
  34966. "ts": 1539815917048481,
  34967. "dur": 4,
  34968. "args": {
  34969. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34970. "op": "Conv2DBackpropFilter"
  34971. }
  34972. },
  34973. {
  34974. "ph": "X",
  34975. "cat": "Op",
  34976. "name": "Conv2DBackpropFilter",
  34977. "pid": 15,
  34978. "tid": 1,
  34979. "ts": 1539815917049778,
  34980. "dur": 78,
  34981. "args": {
  34982. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34983. "op": "Conv2DBackpropFilter"
  34984. }
  34985. },
  34986. {
  34987. "ph": "X",
  34988. "cat": "Op",
  34989. "name": "Conv2DBackpropFilter",
  34990. "pid": 15,
  34991. "tid": 3,
  34992. "ts": 1539815917048584,
  34993. "dur": 164,
  34994. "args": {
  34995. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  34996. "op": "Conv2DBackpropFilter"
  34997. }
  34998. },
  34999. {
  35000. "ph": "X",
  35001. "cat": "Op",
  35002. "name": "Conv2DBackpropFilter",
  35003. "pid": 15,
  35004. "tid": 4,
  35005. "ts": 1539815917048492,
  35006. "dur": 3,
  35007. "args": {
  35008. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35009. "op": "Conv2DBackpropFilter"
  35010. }
  35011. },
  35012. {
  35013. "ph": "X",
  35014. "cat": "Op",
  35015. "name": "Conv2DBackpropFilter",
  35016. "pid": 15,
  35017. "tid": 2,
  35018. "ts": 1539815917049068,
  35019. "dur": 4,
  35020. "args": {
  35021. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35022. "op": "Conv2DBackpropFilter"
  35023. }
  35024. },
  35025. {
  35026. "ph": "X",
  35027. "cat": "Op",
  35028. "name": "Conv2DBackpropFilter",
  35029. "pid": 15,
  35030. "tid": 4,
  35031. "ts": 1539815917048502,
  35032. "dur": 1633,
  35033. "args": {
  35034. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35035. "op": "Conv2DBackpropFilter"
  35036. }
  35037. },
  35038. {
  35039. "ph": "X",
  35040. "cat": "Op",
  35041. "name": "Conv2DBackpropFilter",
  35042. "pid": 15,
  35043. "tid": 2,
  35044. "ts": 1539815917049075,
  35045. "dur": 758,
  35046. "args": {
  35047. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35048. "op": "Conv2DBackpropFilter"
  35049. }
  35050. },
  35051. {
  35052. "ph": "X",
  35053. "cat": "Op",
  35054. "name": "Conv2DBackpropFilter",
  35055. "pid": 15,
  35056. "tid": 0,
  35057. "ts": 1539815917049838,
  35058. "dur": 78,
  35059. "args": {
  35060. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35061. "op": "Conv2DBackpropFilter"
  35062. }
  35063. },
  35064. {
  35065. "ph": "X",
  35066. "cat": "Op",
  35067. "name": "Conv2DBackpropFilter",
  35068. "pid": 15,
  35069. "tid": 1,
  35070. "ts": 1539815917049869,
  35071. "dur": 4,
  35072. "args": {
  35073. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35074. "op": "Conv2DBackpropFilter"
  35075. }
  35076. },
  35077. {
  35078. "ph": "X",
  35079. "cat": "Op",
  35080. "name": "Conv2DBackpropFilter",
  35081. "pid": 15,
  35082. "tid": 1,
  35083. "ts": 1539815917049882,
  35084. "dur": 5,
  35085. "args": {
  35086. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35087. "op": "Conv2DBackpropFilter"
  35088. }
  35089. },
  35090. {
  35091. "ph": "X",
  35092. "cat": "Op",
  35093. "name": "Conv2DBackpropFilter",
  35094. "pid": 15,
  35095. "tid": 1,
  35096. "ts": 1539815917049900,
  35097. "dur": 3,
  35098. "args": {
  35099. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35100. "op": "Conv2DBackpropFilter"
  35101. }
  35102. },
  35103. {
  35104. "ph": "X",
  35105. "cat": "Op",
  35106. "name": "Conv2DBackpropFilter",
  35107. "pid": 15,
  35108. "tid": 1,
  35109. "ts": 1539815917049911,
  35110. "dur": 1875,
  35111. "args": {
  35112. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35113. "op": "Conv2DBackpropFilter"
  35114. }
  35115. },
  35116. {
  35117. "ph": "X",
  35118. "cat": "Op",
  35119. "name": "Conv2DBackpropFilter",
  35120. "pid": 15,
  35121. "tid": 0,
  35122. "ts": 1539815917049918,
  35123. "dur": 4,
  35124. "args": {
  35125. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35126. "op": "Conv2DBackpropFilter"
  35127. }
  35128. },
  35129. {
  35130. "ph": "X",
  35131. "cat": "Op",
  35132. "name": "Conv2DBackpropFilter",
  35133. "pid": 15,
  35134. "tid": 0,
  35135. "ts": 1539815917049929,
  35136. "dur": 5,
  35137. "args": {
  35138. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35139. "op": "Conv2DBackpropFilter"
  35140. }
  35141. },
  35142. {
  35143. "ph": "X",
  35144. "cat": "Op",
  35145. "name": "Conv2DBackpropFilter",
  35146. "pid": 15,
  35147. "tid": 0,
  35148. "ts": 1539815917049939,
  35149. "dur": 3,
  35150. "args": {
  35151. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35152. "op": "Conv2DBackpropFilter"
  35153. }
  35154. },
  35155. {
  35156. "ph": "X",
  35157. "cat": "Op",
  35158. "name": "Conv2DBackpropFilter",
  35159. "pid": 15,
  35160. "tid": 0,
  35161. "ts": 1539815917049950,
  35162. "dur": 2093,
  35163. "args": {
  35164. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35165. "op": "Conv2DBackpropFilter"
  35166. }
  35167. },
  35168. {
  35169. "ph": "X",
  35170. "cat": "Op",
  35171. "name": "Conv2DBackpropFilter",
  35172. "pid": 15,
  35173. "tid": 2,
  35174. "ts": 1539815917049977,
  35175. "dur": 4,
  35176. "args": {
  35177. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35178. "op": "Conv2DBackpropFilter"
  35179. }
  35180. },
  35181. {
  35182. "ph": "X",
  35183. "cat": "Op",
  35184. "name": "Conv2DBackpropFilter",
  35185. "pid": 15,
  35186. "tid": 2,
  35187. "ts": 1539815917049988,
  35188. "dur": 5,
  35189. "args": {
  35190. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35191. "op": "Conv2DBackpropFilter"
  35192. }
  35193. },
  35194. {
  35195. "ph": "X",
  35196. "cat": "Op",
  35197. "name": "Conv2DBackpropFilter",
  35198. "pid": 15,
  35199. "tid": 2,
  35200. "ts": 1539815917050006,
  35201. "dur": 4,
  35202. "args": {
  35203. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35204. "op": "Conv2DBackpropFilter"
  35205. }
  35206. },
  35207. {
  35208. "ph": "X",
  35209. "cat": "Op",
  35210. "name": "Conv2DBackpropFilter",
  35211. "pid": 15,
  35212. "tid": 2,
  35213. "ts": 1539815917050017,
  35214. "dur": 1871,
  35215. "args": {
  35216. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35217. "op": "Conv2DBackpropFilter"
  35218. }
  35219. },
  35220. {
  35221. "ph": "X",
  35222. "cat": "Op",
  35223. "name": "Conv2DBackpropFilter",
  35224. "pid": 15,
  35225. "tid": 3,
  35226. "ts": 1539815917050192,
  35227. "dur": 4,
  35228. "args": {
  35229. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35230. "op": "Conv2DBackpropFilter"
  35231. }
  35232. },
  35233. {
  35234. "ph": "X",
  35235. "cat": "Op",
  35236. "name": "Conv2DBackpropFilter",
  35237. "pid": 15,
  35238. "tid": 3,
  35239. "ts": 1539815917050210,
  35240. "dur": 4,
  35241. "args": {
  35242. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35243. "op": "Conv2DBackpropFilter"
  35244. }
  35245. },
  35246. {
  35247. "ph": "X",
  35248. "cat": "Op",
  35249. "name": "Conv2DBackpropFilter",
  35250. "pid": 15,
  35251. "tid": 3,
  35252. "ts": 1539815917050223,
  35253. "dur": 3,
  35254. "args": {
  35255. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35256. "op": "Conv2DBackpropFilter"
  35257. }
  35258. },
  35259. {
  35260. "ph": "X",
  35261. "cat": "Op",
  35262. "name": "Conv2DBackpropFilter",
  35263. "pid": 15,
  35264. "tid": 3,
  35265. "ts": 1539815917050231,
  35266. "dur": 1638,
  35267. "args": {
  35268. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35269. "op": "Conv2DBackpropFilter"
  35270. }
  35271. },
  35272. {
  35273. "ph": "X",
  35274. "cat": "Op",
  35275. "name": "Conv2DBackpropFilter",
  35276. "pid": 15,
  35277. "tid": 1,
  35278. "ts": 1539815917051853,
  35279. "dur": 4,
  35280. "args": {
  35281. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35282. "op": "Conv2DBackpropFilter"
  35283. }
  35284. },
  35285. {
  35286. "ph": "X",
  35287. "cat": "Op",
  35288. "name": "Conv2DBackpropFilter",
  35289. "pid": 15,
  35290. "tid": 1,
  35291. "ts": 1539815917051863,
  35292. "dur": 5,
  35293. "args": {
  35294. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35295. "op": "Conv2DBackpropFilter"
  35296. }
  35297. },
  35298. {
  35299. "ph": "X",
  35300. "cat": "Op",
  35301. "name": "Conv2DBackpropFilter",
  35302. "pid": 15,
  35303. "tid": 1,
  35304. "ts": 1539815917051873,
  35305. "dur": 3,
  35306. "args": {
  35307. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35308. "op": "Conv2DBackpropFilter"
  35309. }
  35310. },
  35311. {
  35312. "ph": "X",
  35313. "cat": "Op",
  35314. "name": "Conv2DBackpropFilter",
  35315. "pid": 15,
  35316. "tid": 1,
  35317. "ts": 1539815917051884,
  35318. "dur": 1875,
  35319. "args": {
  35320. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35321. "op": "Conv2DBackpropFilter"
  35322. }
  35323. },
  35324. {
  35325. "ph": "X",
  35326. "cat": "Op",
  35327. "name": "Conv2DBackpropFilter",
  35328. "pid": 15,
  35329. "tid": 2,
  35330. "ts": 1539815917051918,
  35331. "dur": 153,
  35332. "args": {
  35333. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35334. "op": "Conv2DBackpropFilter"
  35335. }
  35336. },
  35337. {
  35338. "ph": "X",
  35339. "cat": "Op",
  35340. "name": "Conv2DBackpropFilter",
  35341. "pid": 15,
  35342. "tid": 0,
  35343. "ts": 1539815917052075,
  35344. "dur": 188,
  35345. "args": {
  35346. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35347. "op": "Conv2DBackpropFilter"
  35348. }
  35349. },
  35350. {
  35351. "ph": "X",
  35352. "cat": "Op",
  35353. "name": "Conv2DBackpropFilter",
  35354. "pid": 15,
  35355. "tid": 0,
  35356. "ts": 1539815917052268,
  35357. "dur": 280,
  35358. "args": {
  35359. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35360. "op": "Conv2DBackpropFilter"
  35361. }
  35362. },
  35363. {
  35364. "ph": "X",
  35365. "cat": "Op",
  35366. "name": "Conv2DBackpropFilter",
  35367. "pid": 15,
  35368. "tid": 0,
  35369. "ts": 1539815917052551,
  35370. "dur": 20,
  35371. "args": {
  35372. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35373. "op": "Conv2DBackpropFilter"
  35374. }
  35375. },
  35376. {
  35377. "ph": "X",
  35378. "cat": "Op",
  35379. "name": "Conv2DBackpropFilter",
  35380. "pid": 15,
  35381. "tid": 3,
  35382. "ts": 1539815917051954,
  35383. "dur": 4,
  35384. "args": {
  35385. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35386. "op": "Conv2DBackpropFilter"
  35387. }
  35388. },
  35389. {
  35390. "ph": "X",
  35391. "cat": "Op",
  35392. "name": "Conv2DBackpropFilter",
  35393. "pid": 15,
  35394. "tid": 3,
  35395. "ts": 1539815917051965,
  35396. "dur": 5,
  35397. "args": {
  35398. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35399. "op": "Conv2DBackpropFilter"
  35400. }
  35401. },
  35402. {
  35403. "ph": "X",
  35404. "cat": "Op",
  35405. "name": "Conv2DBackpropFilter",
  35406. "pid": 15,
  35407. "tid": 3,
  35408. "ts": 1539815917051975,
  35409. "dur": 4,
  35410. "args": {
  35411. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35412. "op": "Conv2DBackpropFilter"
  35413. }
  35414. },
  35415. {
  35416. "ph": "X",
  35417. "cat": "Op",
  35418. "name": "Conv2DBackpropFilter",
  35419. "pid": 15,
  35420. "tid": 3,
  35421. "ts": 1539815917051984,
  35422. "dur": 1874,
  35423. "args": {
  35424. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35425. "op": "Conv2DBackpropFilter"
  35426. }
  35427. },
  35428. {
  35429. "ph": "X",
  35430. "cat": "Op",
  35431. "name": "Conv2DBackpropFilter",
  35432. "pid": 15,
  35433. "tid": 2,
  35434. "ts": 1539815917052104,
  35435. "dur": 4,
  35436. "args": {
  35437. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35438. "op": "Conv2DBackpropFilter"
  35439. }
  35440. },
  35441. {
  35442. "ph": "X",
  35443. "cat": "Op",
  35444. "name": "Conv2DBackpropFilter",
  35445. "pid": 15,
  35446. "tid": 2,
  35447. "ts": 1539815917052114,
  35448. "dur": 5,
  35449. "args": {
  35450. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35451. "op": "Conv2DBackpropFilter"
  35452. }
  35453. },
  35454. {
  35455. "ph": "X",
  35456. "cat": "Op",
  35457. "name": "Conv2DBackpropFilter",
  35458. "pid": 15,
  35459. "tid": 2,
  35460. "ts": 1539815917052124,
  35461. "dur": 3,
  35462. "args": {
  35463. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35464. "op": "Conv2DBackpropFilter"
  35465. }
  35466. },
  35467. {
  35468. "ph": "X",
  35469. "cat": "Op",
  35470. "name": "Conv2DBackpropFilter",
  35471. "pid": 15,
  35472. "tid": 2,
  35473. "ts": 1539815917052134,
  35474. "dur": 1753,
  35475. "args": {
  35476. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35477. "op": "Conv2DBackpropFilter"
  35478. }
  35479. },
  35480. {
  35481. "ph": "X",
  35482. "cat": "Op",
  35483. "name": "Conv2DBackpropFilter",
  35484. "pid": 15,
  35485. "tid": 0,
  35486. "ts": 1539815917052615,
  35487. "dur": 159,
  35488. "args": {
  35489. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35490. "op": "Conv2DBackpropFilter"
  35491. }
  35492. },
  35493. {
  35494. "ph": "X",
  35495. "cat": "Op",
  35496. "name": "Conv2DBackpropFilter",
  35497. "pid": 15,
  35498. "tid": 0,
  35499. "ts": 1539815917052778,
  35500. "dur": 186,
  35501. "args": {
  35502. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35503. "op": "Conv2DBackpropFilter"
  35504. }
  35505. },
  35506. {
  35507. "ph": "X",
  35508. "cat": "Op",
  35509. "name": "Conv2DBackpropFilter",
  35510. "pid": 15,
  35511. "tid": 0,
  35512. "ts": 1539815917052968,
  35513. "dur": 281,
  35514. "args": {
  35515. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35516. "op": "Conv2DBackpropFilter"
  35517. }
  35518. },
  35519. {
  35520. "ph": "X",
  35521. "cat": "Op",
  35522. "name": "Conv2DBackpropFilter",
  35523. "pid": 15,
  35524. "tid": 0,
  35525. "ts": 1539815917053253,
  35526. "dur": 20,
  35527. "args": {
  35528. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35529. "op": "Conv2DBackpropFilter"
  35530. }
  35531. },
  35532. {
  35533. "ph": "X",
  35534. "cat": "Op",
  35535. "name": "Conv2DBackpropFilter",
  35536. "pid": 15,
  35537. "tid": 0,
  35538. "ts": 1539815917053313,
  35539. "dur": 159,
  35540. "args": {
  35541. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35542. "op": "Conv2DBackpropFilter"
  35543. }
  35544. },
  35545. {
  35546. "ph": "X",
  35547. "cat": "Op",
  35548. "name": "Conv2DBackpropFilter",
  35549. "pid": 15,
  35550. "tid": 0,
  35551. "ts": 1539815917053475,
  35552. "dur": 188,
  35553. "args": {
  35554. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35555. "op": "Conv2DBackpropFilter"
  35556. }
  35557. },
  35558. {
  35559. "ph": "X",
  35560. "cat": "Op",
  35561. "name": "Conv2DBackpropFilter",
  35562. "pid": 15,
  35563. "tid": 0,
  35564. "ts": 1539815917053669,
  35565. "dur": 281,
  35566. "args": {
  35567. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35568. "op": "Conv2DBackpropFilter"
  35569. }
  35570. },
  35571. {
  35572. "ph": "X",
  35573. "cat": "Op",
  35574. "name": "Conv2DBackpropFilter",
  35575. "pid": 15,
  35576. "tid": 0,
  35577. "ts": 1539815917053954,
  35578. "dur": 20,
  35579. "args": {
  35580. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35581. "op": "Conv2DBackpropFilter"
  35582. }
  35583. },
  35584. {
  35585. "ph": "X",
  35586. "cat": "Op",
  35587. "name": "Conv2DBackpropFilter",
  35588. "pid": 15,
  35589. "tid": 0,
  35590. "ts": 1539815917053978,
  35591. "dur": 8,
  35592. "args": {
  35593. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35594. "op": "Conv2DBackpropFilter"
  35595. }
  35596. },
  35597. {
  35598. "ph": "X",
  35599. "cat": "Op",
  35600. "name": "Conv2DBackpropInput",
  35601. "pid": 15,
  35602. "tid": 0,
  35603. "ts": 1539815917053989,
  35604. "dur": 8,
  35605. "args": {
  35606. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  35607. "op": "Conv2DBackpropInput"
  35608. }
  35609. },
  35610. {
  35611. "ph": "X",
  35612. "cat": "Op",
  35613. "name": "Conv2DBackpropInput",
  35614. "pid": 15,
  35615. "tid": 0,
  35616. "ts": 1539815917054003,
  35617. "dur": 21,
  35618. "args": {
  35619. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  35620. "op": "Conv2DBackpropInput"
  35621. }
  35622. },
  35623. {
  35624. "ph": "X",
  35625. "cat": "Op",
  35626. "name": "Conv2DBackpropInput",
  35627. "pid": 15,
  35628. "tid": 0,
  35629. "ts": 1539815917054028,
  35630. "dur": 2704,
  35631. "args": {
  35632. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  35633. "op": "Conv2DBackpropInput"
  35634. }
  35635. },
  35636. {
  35637. "ph": "X",
  35638. "cat": "Op",
  35639. "name": "Conv2DBackpropFilter",
  35640. "pid": 15,
  35641. "tid": 1,
  35642. "ts": 1539815917053804,
  35643. "dur": 174,
  35644. "args": {
  35645. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35646. "op": "Conv2DBackpropFilter"
  35647. }
  35648. },
  35649. {
  35650. "ph": "X",
  35651. "cat": "Op",
  35652. "name": "Conv2DBackpropFilter",
  35653. "pid": 15,
  35654. "tid": 1,
  35655. "ts": 1539815917053981,
  35656. "dur": 194,
  35657. "args": {
  35658. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35659. "op": "Conv2DBackpropFilter"
  35660. }
  35661. },
  35662. {
  35663. "ph": "X",
  35664. "cat": "Op",
  35665. "name": "Conv2DBackpropFilter",
  35666. "pid": 15,
  35667. "tid": 1,
  35668. "ts": 1539815917054179,
  35669. "dur": 319,
  35670. "args": {
  35671. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35672. "op": "Conv2DBackpropFilter"
  35673. }
  35674. },
  35675. {
  35676. "ph": "X",
  35677. "cat": "Op",
  35678. "name": "Conv2DBackpropFilter",
  35679. "pid": 15,
  35680. "tid": 1,
  35681. "ts": 1539815917054502,
  35682. "dur": 22,
  35683. "args": {
  35684. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35685. "op": "Conv2DBackpropFilter"
  35686. }
  35687. },
  35688. {
  35689. "ph": "X",
  35690. "cat": "Op",
  35691. "name": "Conv2DBackpropFilter",
  35692. "pid": 15,
  35693. "tid": 2,
  35694. "ts": 1539815917053904,
  35695. "dur": 174,
  35696. "args": {
  35697. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35698. "op": "Conv2DBackpropFilter"
  35699. }
  35700. },
  35701. {
  35702. "ph": "X",
  35703. "cat": "Op",
  35704. "name": "Conv2DBackpropFilter",
  35705. "pid": 15,
  35706. "tid": 2,
  35707. "ts": 1539815917054083,
  35708. "dur": 192,
  35709. "args": {
  35710. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35711. "op": "Conv2DBackpropFilter"
  35712. }
  35713. },
  35714. {
  35715. "ph": "X",
  35716. "cat": "Op",
  35717. "name": "Conv2DBackpropFilter",
  35718. "pid": 15,
  35719. "tid": 2,
  35720. "ts": 1539815917054278,
  35721. "dur": 320,
  35722. "args": {
  35723. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35724. "op": "Conv2DBackpropFilter"
  35725. }
  35726. },
  35727. {
  35728. "ph": "X",
  35729. "cat": "Op",
  35730. "name": "Conv2DBackpropFilter",
  35731. "pid": 15,
  35732. "tid": 1,
  35733. "ts": 1539815917054602,
  35734. "dur": 22,
  35735. "args": {
  35736. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35737. "op": "Conv2DBackpropFilter"
  35738. }
  35739. },
  35740. {
  35741. "ph": "X",
  35742. "cat": "Op",
  35743. "name": "Conv2DBackpropFilter",
  35744. "pid": 15,
  35745. "tid": 3,
  35746. "ts": 1539815917053939,
  35747. "dur": 163,
  35748. "args": {
  35749. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35750. "op": "Conv2DBackpropFilter"
  35751. }
  35752. },
  35753. {
  35754. "ph": "X",
  35755. "cat": "Op",
  35756. "name": "Conv2DBackpropFilter",
  35757. "pid": 15,
  35758. "tid": 3,
  35759. "ts": 1539815917054106,
  35760. "dur": 189,
  35761. "args": {
  35762. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35763. "op": "Conv2DBackpropFilter"
  35764. }
  35765. },
  35766. {
  35767. "ph": "X",
  35768. "cat": "Op",
  35769. "name": "Conv2DBackpropFilter",
  35770. "pid": 15,
  35771. "tid": 3,
  35772. "ts": 1539815917054299,
  35773. "dur": 301,
  35774. "args": {
  35775. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35776. "op": "Conv2DBackpropFilter"
  35777. }
  35778. },
  35779. {
  35780. "ph": "X",
  35781. "cat": "Op",
  35782. "name": "Conv2DBackpropFilter",
  35783. "pid": 15,
  35784. "tid": 2,
  35785. "ts": 1539815917054603,
  35786. "dur": 21,
  35787. "args": {
  35788. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35789. "op": "Conv2DBackpropFilter"
  35790. }
  35791. },
  35792. {
  35793. "ph": "X",
  35794. "cat": "Op",
  35795. "name": "Conv2DBackpropFilter",
  35796. "pid": 15,
  35797. "tid": 4,
  35798. "ts": 1539815917054567,
  35799. "dur": 174,
  35800. "args": {
  35801. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35802. "op": "Conv2DBackpropFilter"
  35803. }
  35804. },
  35805. {
  35806. "ph": "X",
  35807. "cat": "Op",
  35808. "name": "Conv2DBackpropFilter",
  35809. "pid": 15,
  35810. "tid": 1,
  35811. "ts": 1539815917054745,
  35812. "dur": 195,
  35813. "args": {
  35814. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35815. "op": "Conv2DBackpropFilter"
  35816. }
  35817. },
  35818. {
  35819. "ph": "X",
  35820. "cat": "Op",
  35821. "name": "Conv2DBackpropFilter",
  35822. "pid": 15,
  35823. "tid": 1,
  35824. "ts": 1539815917054944,
  35825. "dur": 320,
  35826. "args": {
  35827. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35828. "op": "Conv2DBackpropFilter"
  35829. }
  35830. },
  35831. {
  35832. "ph": "X",
  35833. "cat": "Op",
  35834. "name": "Conv2DBackpropFilter",
  35835. "pid": 15,
  35836. "tid": 1,
  35837. "ts": 1539815917055268,
  35838. "dur": 21,
  35839. "args": {
  35840. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35841. "op": "Conv2DBackpropFilter"
  35842. }
  35843. },
  35844. {
  35845. "ph": "X",
  35846. "cat": "Op",
  35847. "name": "Conv2DBackpropFilter",
  35848. "pid": 15,
  35849. "tid": 2,
  35850. "ts": 1539815917054667,
  35851. "dur": 175,
  35852. "args": {
  35853. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35854. "op": "Conv2DBackpropFilter"
  35855. }
  35856. },
  35857. {
  35858. "ph": "X",
  35859. "cat": "Op",
  35860. "name": "Conv2DBackpropFilter",
  35861. "pid": 15,
  35862. "tid": 3,
  35863. "ts": 1539815917054669,
  35864. "dur": 162,
  35865. "args": {
  35866. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35867. "op": "Conv2DBackpropFilter"
  35868. }
  35869. },
  35870. {
  35871. "ph": "X",
  35872. "cat": "Op",
  35873. "name": "Conv2DBackpropFilter",
  35874. "pid": 15,
  35875. "tid": 2,
  35876. "ts": 1539815917054847,
  35877. "dur": 192,
  35878. "args": {
  35879. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35880. "op": "Conv2DBackpropFilter"
  35881. }
  35882. },
  35883. {
  35884. "ph": "X",
  35885. "cat": "Op",
  35886. "name": "Conv2DBackpropFilter",
  35887. "pid": 15,
  35888. "tid": 3,
  35889. "ts": 1539815917054835,
  35890. "dur": 190,
  35891. "args": {
  35892. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35893. "op": "Conv2DBackpropFilter"
  35894. }
  35895. },
  35896. {
  35897. "ph": "X",
  35898. "cat": "Op",
  35899. "name": "Conv2DBackpropFilter",
  35900. "pid": 15,
  35901. "tid": 2,
  35902. "ts": 1539815917055042,
  35903. "dur": 319,
  35904. "args": {
  35905. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35906. "op": "Conv2DBackpropFilter"
  35907. }
  35908. },
  35909. {
  35910. "ph": "X",
  35911. "cat": "Op",
  35912. "name": "Conv2DBackpropFilter",
  35913. "pid": 15,
  35914. "tid": 3,
  35915. "ts": 1539815917055029,
  35916. "dur": 291,
  35917. "args": {
  35918. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35919. "op": "Conv2DBackpropFilter"
  35920. }
  35921. },
  35922. {
  35923. "ph": "X",
  35924. "cat": "Op",
  35925. "name": "Conv2DBackpropFilter",
  35926. "pid": 15,
  35927. "tid": 1,
  35928. "ts": 1539815917055365,
  35929. "dur": 23,
  35930. "args": {
  35931. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35932. "op": "Conv2DBackpropFilter"
  35933. }
  35934. },
  35935. {
  35936. "ph": "X",
  35937. "cat": "Op",
  35938. "name": "Conv2DBackpropFilter",
  35939. "pid": 15,
  35940. "tid": 3,
  35941. "ts": 1539815917055324,
  35942. "dur": 21,
  35943. "args": {
  35944. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35945. "op": "Conv2DBackpropFilter"
  35946. }
  35947. },
  35948. {
  35949. "ph": "X",
  35950. "cat": "Op",
  35951. "name": "Conv2DBackpropFilter",
  35952. "pid": 15,
  35953. "tid": 4,
  35954. "ts": 1539815917055334,
  35955. "dur": 172,
  35956. "args": {
  35957. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35958. "op": "Conv2DBackpropFilter"
  35959. }
  35960. },
  35961. {
  35962. "ph": "X",
  35963. "cat": "Op",
  35964. "name": "Conv2DBackpropFilter",
  35965. "pid": 15,
  35966. "tid": 1,
  35967. "ts": 1539815917055511,
  35968. "dur": 194,
  35969. "args": {
  35970. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35971. "op": "Conv2DBackpropFilter"
  35972. }
  35973. },
  35974. {
  35975. "ph": "X",
  35976. "cat": "Op",
  35977. "name": "Conv2DBackpropFilter",
  35978. "pid": 15,
  35979. "tid": 1,
  35980. "ts": 1539815917055712,
  35981. "dur": 319,
  35982. "args": {
  35983. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35984. "op": "Conv2DBackpropFilter"
  35985. }
  35986. },
  35987. {
  35988. "ph": "X",
  35989. "cat": "Op",
  35990. "name": "Conv2DBackpropFilter",
  35991. "pid": 15,
  35992. "tid": 1,
  35993. "ts": 1539815917056035,
  35994. "dur": 21,
  35995. "args": {
  35996. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  35997. "op": "Conv2DBackpropFilter"
  35998. }
  35999. },
  36000. {
  36001. "ph": "X",
  36002. "cat": "Op",
  36003. "name": "Conv2DBackpropFilter",
  36004. "pid": 15,
  36005. "tid": 1,
  36006. "ts": 1539815917056060,
  36007. "dur": 9,
  36008. "args": {
  36009. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  36010. "op": "Conv2DBackpropFilter"
  36011. }
  36012. },
  36013. {
  36014. "ph": "X",
  36015. "cat": "Op",
  36016. "name": "Conv2DBackpropFilter",
  36017. "pid": 15,
  36018. "tid": 2,
  36019. "ts": 1539815917055391,
  36020. "dur": 161,
  36021. "args": {
  36022. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  36023. "op": "Conv2DBackpropFilter"
  36024. }
  36025. },
  36026. {
  36027. "ph": "X",
  36028. "cat": "Op",
  36029. "name": "Conv2DBackpropFilter",
  36030. "pid": 15,
  36031. "tid": 2,
  36032. "ts": 1539815917055556,
  36033. "dur": 188,
  36034. "args": {
  36035. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  36036. "op": "Conv2DBackpropFilter"
  36037. }
  36038. },
  36039. {
  36040. "ph": "X",
  36041. "cat": "Op",
  36042. "name": "Conv2DBackpropFilter",
  36043. "pid": 15,
  36044. "tid": 2,
  36045. "ts": 1539815917055751,
  36046. "dur": 292,
  36047. "args": {
  36048. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  36049. "op": "Conv2DBackpropFilter"
  36050. }
  36051. },
  36052. {
  36053. "ph": "X",
  36054. "cat": "Op",
  36055. "name": "Conv2DBackpropFilter",
  36056. "pid": 15,
  36057. "tid": 2,
  36058. "ts": 1539815917056047,
  36059. "dur": 20,
  36060. "args": {
  36061. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  36062. "op": "Conv2DBackpropFilter"
  36063. }
  36064. },
  36065. {
  36066. "ph": "X",
  36067. "cat": "Op",
  36068. "name": "Conv2DBackpropFilter",
  36069. "pid": 15,
  36070. "tid": 3,
  36071. "ts": 1539815917055433,
  36072. "dur": 172,
  36073. "args": {
  36074. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  36075. "op": "Conv2DBackpropFilter"
  36076. }
  36077. },
  36078. {
  36079. "ph": "X",
  36080. "cat": "Op",
  36081. "name": "Conv2DBackpropFilter",
  36082. "pid": 15,
  36083. "tid": 1,
  36084. "ts": 1539815917056071,
  36085. "dur": 9,
  36086. "args": {
  36087. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  36088. "op": "Conv2DBackpropFilter"
  36089. }
  36090. },
  36091. {
  36092. "ph": "X",
  36093. "cat": "Op",
  36094. "name": "Conv2DBackpropFilter",
  36095. "pid": 15,
  36096. "tid": 3,
  36097. "ts": 1539815917055609,
  36098. "dur": 194,
  36099. "args": {
  36100. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  36101. "op": "Conv2DBackpropFilter"
  36102. }
  36103. },
  36104. {
  36105. "ph": "X",
  36106. "cat": "Op",
  36107. "name": "Conv2DBackpropInput",
  36108. "pid": 15,
  36109. "tid": 2,
  36110. "ts": 1539815917056073,
  36111. "dur": 8,
  36112. "args": {
  36113. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36114. "op": "Conv2DBackpropInput"
  36115. }
  36116. },
  36117. {
  36118. "ph": "X",
  36119. "cat": "Op",
  36120. "name": "Conv2DBackpropFilter",
  36121. "pid": 15,
  36122. "tid": 3,
  36123. "ts": 1539815917055810,
  36124. "dur": 319,
  36125. "args": {
  36126. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  36127. "op": "Conv2DBackpropFilter"
  36128. }
  36129. },
  36130. {
  36131. "ph": "X",
  36132. "cat": "Op",
  36133. "name": "Conv2DBackpropFilter",
  36134. "pid": 15,
  36135. "tid": 1,
  36136. "ts": 1539815917056133,
  36137. "dur": 22,
  36138. "args": {
  36139. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  36140. "op": "Conv2DBackpropFilter"
  36141. }
  36142. },
  36143. {
  36144. "ph": "X",
  36145. "cat": "Op",
  36146. "name": "Conv2DBackpropFilter",
  36147. "pid": 15,
  36148. "tid": 1,
  36149. "ts": 1539815917056158,
  36150. "dur": 9,
  36151. "args": {
  36152. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  36153. "op": "Conv2DBackpropFilter"
  36154. }
  36155. },
  36156. {
  36157. "ph": "X",
  36158. "cat": "Op",
  36159. "name": "Conv2DBackpropInput",
  36160. "pid": 15,
  36161. "tid": 2,
  36162. "ts": 1539815917056088,
  36163. "dur": 23,
  36164. "args": {
  36165. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36166. "op": "Conv2DBackpropInput"
  36167. }
  36168. },
  36169. {
  36170. "ph": "X",
  36171. "cat": "Op",
  36172. "name": "Conv2DBackpropInput",
  36173. "pid": 15,
  36174. "tid": 4,
  36175. "ts": 1539815917056083,
  36176. "dur": 8,
  36177. "args": {
  36178. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36179. "op": "Conv2DBackpropInput"
  36180. }
  36181. },
  36182. {
  36183. "ph": "X",
  36184. "cat": "Op",
  36185. "name": "Conv2DBackpropInput",
  36186. "pid": 15,
  36187. "tid": 2,
  36188. "ts": 1539815917056116,
  36189. "dur": 3107,
  36190. "args": {
  36191. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36192. "op": "Conv2DBackpropInput"
  36193. }
  36194. },
  36195. {
  36196. "ph": "X",
  36197. "cat": "Op",
  36198. "name": "Conv2DBackpropInput",
  36199. "pid": 15,
  36200. "tid": 4,
  36201. "ts": 1539815917056097,
  36202. "dur": 22,
  36203. "args": {
  36204. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36205. "op": "Conv2DBackpropInput"
  36206. }
  36207. },
  36208. {
  36209. "ph": "X",
  36210. "cat": "Op",
  36211. "name": "Conv2DBackpropInput",
  36212. "pid": 15,
  36213. "tid": 1,
  36214. "ts": 1539815917056172,
  36215. "dur": 9,
  36216. "args": {
  36217. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36218. "op": "Conv2DBackpropInput"
  36219. }
  36220. },
  36221. {
  36222. "ph": "X",
  36223. "cat": "Op",
  36224. "name": "Conv2DBackpropInput",
  36225. "pid": 15,
  36226. "tid": 4,
  36227. "ts": 1539815917056123,
  36228. "dur": 2821,
  36229. "args": {
  36230. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36231. "op": "Conv2DBackpropInput"
  36232. }
  36233. },
  36234. {
  36235. "ph": "X",
  36236. "cat": "Op",
  36237. "name": "Conv2DBackpropInput",
  36238. "pid": 15,
  36239. "tid": 1,
  36240. "ts": 1539815917056187,
  36241. "dur": 24,
  36242. "args": {
  36243. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36244. "op": "Conv2DBackpropInput"
  36245. }
  36246. },
  36247. {
  36248. "ph": "X",
  36249. "cat": "Op",
  36250. "name": "Conv2DBackpropInput",
  36251. "pid": 15,
  36252. "tid": 1,
  36253. "ts": 1539815917056215,
  36254. "dur": 3112,
  36255. "args": {
  36256. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36257. "op": "Conv2DBackpropInput"
  36258. }
  36259. },
  36260. {
  36261. "ph": "X",
  36262. "cat": "Op",
  36263. "name": "Conv2DBackpropInput",
  36264. "pid": 15,
  36265. "tid": 0,
  36266. "ts": 1539815917056774,
  36267. "dur": 22,
  36268. "args": {
  36269. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36270. "op": "Conv2DBackpropInput"
  36271. }
  36272. },
  36273. {
  36274. "ph": "X",
  36275. "cat": "Op",
  36276. "name": "Conv2DBackpropInput",
  36277. "pid": 15,
  36278. "tid": 0,
  36279. "ts": 1539815917056800,
  36280. "dur": 2710,
  36281. "args": {
  36282. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36283. "op": "Conv2DBackpropInput"
  36284. }
  36285. },
  36286. {
  36287. "ph": "X",
  36288. "cat": "Op",
  36289. "name": "Conv2DBackpropInput",
  36290. "pid": 15,
  36291. "tid": 3,
  36292. "ts": 1539815917058986,
  36293. "dur": 22,
  36294. "args": {
  36295. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36296. "op": "Conv2DBackpropInput"
  36297. }
  36298. },
  36299. {
  36300. "ph": "X",
  36301. "cat": "Op",
  36302. "name": "Conv2DBackpropInput",
  36303. "pid": 15,
  36304. "tid": 3,
  36305. "ts": 1539815917059012,
  36306. "dur": 2819,
  36307. "args": {
  36308. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36309. "op": "Conv2DBackpropInput"
  36310. }
  36311. },
  36312. {
  36313. "ph": "X",
  36314. "cat": "Op",
  36315. "name": "Conv2DBackpropInput",
  36316. "pid": 15,
  36317. "tid": 2,
  36318. "ts": 1539815917059267,
  36319. "dur": 24,
  36320. "args": {
  36321. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36322. "op": "Conv2DBackpropInput"
  36323. }
  36324. },
  36325. {
  36326. "ph": "X",
  36327. "cat": "Op",
  36328. "name": "Conv2DBackpropInput",
  36329. "pid": 15,
  36330. "tid": 2,
  36331. "ts": 1539815917059294,
  36332. "dur": 3117,
  36333. "args": {
  36334. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36335. "op": "Conv2DBackpropInput"
  36336. }
  36337. },
  36338. {
  36339. "ph": "X",
  36340. "cat": "Op",
  36341. "name": "Conv2DBackpropInput",
  36342. "pid": 15,
  36343. "tid": 1,
  36344. "ts": 1539815917059370,
  36345. "dur": 24,
  36346. "args": {
  36347. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36348. "op": "Conv2DBackpropInput"
  36349. }
  36350. },
  36351. {
  36352. "ph": "X",
  36353. "cat": "Op",
  36354. "name": "Conv2DBackpropInput",
  36355. "pid": 15,
  36356. "tid": 1,
  36357. "ts": 1539815917059399,
  36358. "dur": 3112,
  36359. "args": {
  36360. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36361. "op": "Conv2DBackpropInput"
  36362. }
  36363. },
  36364. {
  36365. "ph": "X",
  36366. "cat": "Op",
  36367. "name": "Conv2DBackpropInput",
  36368. "pid": 15,
  36369. "tid": 0,
  36370. "ts": 1539815917059569,
  36371. "dur": 3,
  36372. "args": {
  36373. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36374. "op": "Conv2DBackpropInput"
  36375. }
  36376. },
  36377. {
  36378. "ph": "X",
  36379. "cat": "Op",
  36380. "name": "Conv2DBackpropInput",
  36381. "pid": 15,
  36382. "tid": 0,
  36383. "ts": 1539815917059587,
  36384. "dur": 3,
  36385. "args": {
  36386. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36387. "op": "Conv2DBackpropInput"
  36388. }
  36389. },
  36390. {
  36391. "ph": "X",
  36392. "cat": "Op",
  36393. "name": "Conv2DBackpropInput",
  36394. "pid": 15,
  36395. "tid": 0,
  36396. "ts": 1539815917059602,
  36397. "dur": 1708,
  36398. "args": {
  36399. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36400. "op": "Conv2DBackpropInput"
  36401. }
  36402. },
  36403. {
  36404. "ph": "X",
  36405. "cat": "Op",
  36406. "name": "Conv2DBackpropInput",
  36407. "pid": 15,
  36408. "tid": 0,
  36409. "ts": 1539815917061365,
  36410. "dur": 4,
  36411. "args": {
  36412. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36413. "op": "Conv2DBackpropInput"
  36414. }
  36415. },
  36416. {
  36417. "ph": "X",
  36418. "cat": "Op",
  36419. "name": "Conv2DBackpropInput",
  36420. "pid": 15,
  36421. "tid": 0,
  36422. "ts": 1539815917061375,
  36423. "dur": 4,
  36424. "args": {
  36425. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36426. "op": "Conv2DBackpropInput"
  36427. }
  36428. },
  36429. {
  36430. "ph": "X",
  36431. "cat": "Op",
  36432. "name": "Conv2DBackpropInput",
  36433. "pid": 15,
  36434. "tid": 0,
  36435. "ts": 1539815917061387,
  36436. "dur": 1706,
  36437. "args": {
  36438. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36439. "op": "Conv2DBackpropInput"
  36440. }
  36441. },
  36442. {
  36443. "ph": "X",
  36444. "cat": "Op",
  36445. "name": "Conv2DBackpropInput",
  36446. "pid": 15,
  36447. "tid": 3,
  36448. "ts": 1539815917061883,
  36449. "dur": 4,
  36450. "args": {
  36451. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36452. "op": "Conv2DBackpropInput"
  36453. }
  36454. },
  36455. {
  36456. "ph": "X",
  36457. "cat": "Op",
  36458. "name": "Conv2DBackpropInput",
  36459. "pid": 15,
  36460. "tid": 3,
  36461. "ts": 1539815917061894,
  36462. "dur": 3,
  36463. "args": {
  36464. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36465. "op": "Conv2DBackpropInput"
  36466. }
  36467. },
  36468. {
  36469. "ph": "X",
  36470. "cat": "Op",
  36471. "name": "Conv2DBackpropInput",
  36472. "pid": 15,
  36473. "tid": 3,
  36474. "ts": 1539815917061908,
  36475. "dur": 1777,
  36476. "args": {
  36477. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36478. "op": "Conv2DBackpropInput"
  36479. }
  36480. },
  36481. {
  36482. "ph": "X",
  36483. "cat": "Op",
  36484. "name": "Conv2DBackpropInput",
  36485. "pid": 15,
  36486. "tid": 2,
  36487. "ts": 1539815917062465,
  36488. "dur": 4,
  36489. "args": {
  36490. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36491. "op": "Conv2DBackpropInput"
  36492. }
  36493. },
  36494. {
  36495. "ph": "X",
  36496. "cat": "Op",
  36497. "name": "Conv2DBackpropInput",
  36498. "pid": 15,
  36499. "tid": 2,
  36500. "ts": 1539815917062478,
  36501. "dur": 4,
  36502. "args": {
  36503. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36504. "op": "Conv2DBackpropInput"
  36505. }
  36506. },
  36507. {
  36508. "ph": "X",
  36509. "cat": "Op",
  36510. "name": "Conv2DBackpropInput",
  36511. "pid": 15,
  36512. "tid": 2,
  36513. "ts": 1539815917062491,
  36514. "dur": 1962,
  36515. "args": {
  36516. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36517. "op": "Conv2DBackpropInput"
  36518. }
  36519. },
  36520. {
  36521. "ph": "X",
  36522. "cat": "Op",
  36523. "name": "Conv2DBackpropInput",
  36524. "pid": 15,
  36525. "tid": 1,
  36526. "ts": 1539815917062568,
  36527. "dur": 4,
  36528. "args": {
  36529. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36530. "op": "Conv2DBackpropInput"
  36531. }
  36532. },
  36533. {
  36534. "ph": "X",
  36535. "cat": "Op",
  36536. "name": "Conv2DBackpropInput",
  36537. "pid": 15,
  36538. "tid": 1,
  36539. "ts": 1539815917062580,
  36540. "dur": 3,
  36541. "args": {
  36542. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36543. "op": "Conv2DBackpropInput"
  36544. }
  36545. },
  36546. {
  36547. "ph": "X",
  36548. "cat": "Op",
  36549. "name": "Conv2DBackpropInput",
  36550. "pid": 15,
  36551. "tid": 1,
  36552. "ts": 1539815917062594,
  36553. "dur": 1960,
  36554. "args": {
  36555. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36556. "op": "Conv2DBackpropInput"
  36557. }
  36558. },
  36559. {
  36560. "ph": "X",
  36561. "cat": "Op",
  36562. "name": "Conv2DBackpropInput",
  36563. "pid": 15,
  36564. "tid": 0,
  36565. "ts": 1539815917063147,
  36566. "dur": 62,
  36567. "args": {
  36568. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36569. "op": "Conv2DBackpropInput"
  36570. }
  36571. },
  36572. {
  36573. "ph": "X",
  36574. "cat": "Op",
  36575. "name": "Conv2DBackpropInput",
  36576. "pid": 15,
  36577. "tid": 0,
  36578. "ts": 1539815917063212,
  36579. "dur": 289,
  36580. "args": {
  36581. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36582. "op": "Conv2DBackpropInput"
  36583. }
  36584. },
  36585. {
  36586. "ph": "X",
  36587. "cat": "Op",
  36588. "name": "Conv2DBackpropInput",
  36589. "pid": 15,
  36590. "tid": 0,
  36591. "ts": 1539815917063506,
  36592. "dur": 4,
  36593. "args": {
  36594. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36595. "op": "Conv2DBackpropInput"
  36596. }
  36597. },
  36598. {
  36599. "ph": "X",
  36600. "cat": "Op",
  36601. "name": "Conv2DBackpropInput",
  36602. "pid": 15,
  36603. "tid": 0,
  36604. "ts": 1539815917063513,
  36605. "dur": 658,
  36606. "args": {
  36607. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36608. "op": "Conv2DBackpropInput"
  36609. }
  36610. },
  36611. {
  36612. "ph": "X",
  36613. "cat": "Op",
  36614. "name": "Conv2DBackpropInput",
  36615. "pid": 15,
  36616. "tid": 0,
  36617. "ts": 1539815917064176,
  36618. "dur": 139,
  36619. "args": {
  36620. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36621. "op": "Conv2DBackpropInput"
  36622. }
  36623. },
  36624. {
  36625. "ph": "X",
  36626. "cat": "Op",
  36627. "name": "Conv2DBackpropInput",
  36628. "pid": 15,
  36629. "tid": 3,
  36630. "ts": 1539815917063741,
  36631. "dur": 4,
  36632. "args": {
  36633. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36634. "op": "Conv2DBackpropInput"
  36635. }
  36636. },
  36637. {
  36638. "ph": "X",
  36639. "cat": "Op",
  36640. "name": "Conv2DBackpropInput",
  36641. "pid": 15,
  36642. "tid": 3,
  36643. "ts": 1539815917063753,
  36644. "dur": 3,
  36645. "args": {
  36646. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36647. "op": "Conv2DBackpropInput"
  36648. }
  36649. },
  36650. {
  36651. "ph": "X",
  36652. "cat": "Op",
  36653. "name": "Conv2DBackpropInput",
  36654. "pid": 15,
  36655. "tid": 3,
  36656. "ts": 1539815917063764,
  36657. "dur": 1779,
  36658. "args": {
  36659. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36660. "op": "Conv2DBackpropInput"
  36661. }
  36662. },
  36663. {
  36664. "ph": "X",
  36665. "cat": "Op",
  36666. "name": "Conv2DBackpropInput",
  36667. "pid": 15,
  36668. "tid": 0,
  36669. "ts": 1539815917064363,
  36670. "dur": 66,
  36671. "args": {
  36672. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36673. "op": "Conv2DBackpropInput"
  36674. }
  36675. },
  36676. {
  36677. "ph": "X",
  36678. "cat": "Op",
  36679. "name": "Conv2DBackpropInput",
  36680. "pid": 15,
  36681. "tid": 0,
  36682. "ts": 1539815917064433,
  36683. "dur": 304,
  36684. "args": {
  36685. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36686. "op": "Conv2DBackpropInput"
  36687. }
  36688. },
  36689. {
  36690. "ph": "X",
  36691. "cat": "Op",
  36692. "name": "Conv2DBackpropInput",
  36693. "pid": 15,
  36694. "tid": 0,
  36695. "ts": 1539815917064741,
  36696. "dur": 4,
  36697. "args": {
  36698. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36699. "op": "Conv2DBackpropInput"
  36700. }
  36701. },
  36702. {
  36703. "ph": "X",
  36704. "cat": "Op",
  36705. "name": "Conv2DBackpropInput",
  36706. "pid": 15,
  36707. "tid": 0,
  36708. "ts": 1539815917064748,
  36709. "dur": 661,
  36710. "args": {
  36711. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36712. "op": "Conv2DBackpropInput"
  36713. }
  36714. },
  36715. {
  36716. "ph": "X",
  36717. "cat": "Op",
  36718. "name": "Conv2DBackpropInput",
  36719. "pid": 15,
  36720. "tid": 0,
  36721. "ts": 1539815917065413,
  36722. "dur": 141,
  36723. "args": {
  36724. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36725. "op": "Conv2DBackpropInput"
  36726. }
  36727. },
  36728. {
  36729. "ph": "X",
  36730. "cat": "Op",
  36731. "name": "Conv2DBackpropInput",
  36732. "pid": 15,
  36733. "tid": 2,
  36734. "ts": 1539815917064509,
  36735. "dur": 4,
  36736. "args": {
  36737. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36738. "op": "Conv2DBackpropInput"
  36739. }
  36740. },
  36741. {
  36742. "ph": "X",
  36743. "cat": "Op",
  36744. "name": "Conv2DBackpropInput",
  36745. "pid": 15,
  36746. "tid": 2,
  36747. "ts": 1539815917064521,
  36748. "dur": 3,
  36749. "args": {
  36750. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36751. "op": "Conv2DBackpropInput"
  36752. }
  36753. },
  36754. {
  36755. "ph": "X",
  36756. "cat": "Op",
  36757. "name": "Conv2DBackpropInput",
  36758. "pid": 15,
  36759. "tid": 2,
  36760. "ts": 1539815917064532,
  36761. "dur": 1960,
  36762. "args": {
  36763. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36764. "op": "Conv2DBackpropInput"
  36765. }
  36766. },
  36767. {
  36768. "ph": "X",
  36769. "cat": "Op",
  36770. "name": "Conv2DBackpropInput",
  36771. "pid": 15,
  36772. "tid": 1,
  36773. "ts": 1539815917064610,
  36774. "dur": 4,
  36775. "args": {
  36776. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36777. "op": "Conv2DBackpropInput"
  36778. }
  36779. },
  36780. {
  36781. "ph": "X",
  36782. "cat": "Op",
  36783. "name": "Conv2DBackpropInput",
  36784. "pid": 15,
  36785. "tid": 1,
  36786. "ts": 1539815917064622,
  36787. "dur": 4,
  36788. "args": {
  36789. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36790. "op": "Conv2DBackpropInput"
  36791. }
  36792. },
  36793. {
  36794. "ph": "X",
  36795. "cat": "Op",
  36796. "name": "Conv2DBackpropInput",
  36797. "pid": 15,
  36798. "tid": 1,
  36799. "ts": 1539815917064634,
  36800. "dur": 1957,
  36801. "args": {
  36802. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36803. "op": "Conv2DBackpropInput"
  36804. }
  36805. },
  36806. {
  36807. "ph": "X",
  36808. "cat": "Op",
  36809. "name": "Conv2DBackpropInput",
  36810. "pid": 15,
  36811. "tid": 0,
  36812. "ts": 1539815917065603,
  36813. "dur": 64,
  36814. "args": {
  36815. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36816. "op": "Conv2DBackpropInput"
  36817. }
  36818. },
  36819. {
  36820. "ph": "X",
  36821. "cat": "Op",
  36822. "name": "Conv2DBackpropInput",
  36823. "pid": 15,
  36824. "tid": 0,
  36825. "ts": 1539815917065671,
  36826. "dur": 305,
  36827. "args": {
  36828. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36829. "op": "Conv2DBackpropInput"
  36830. }
  36831. },
  36832. {
  36833. "ph": "X",
  36834. "cat": "Op",
  36835. "name": "Conv2DBackpropInput",
  36836. "pid": 15,
  36837. "tid": 3,
  36838. "ts": 1539815917065628,
  36839. "dur": 63,
  36840. "args": {
  36841. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36842. "op": "Conv2DBackpropInput"
  36843. }
  36844. },
  36845. {
  36846. "ph": "X",
  36847. "cat": "Op",
  36848. "name": "Conv2DBackpropInput",
  36849. "pid": 15,
  36850. "tid": 0,
  36851. "ts": 1539815917065980,
  36852. "dur": 4,
  36853. "args": {
  36854. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36855. "op": "Conv2DBackpropInput"
  36856. }
  36857. },
  36858. {
  36859. "ph": "X",
  36860. "cat": "Op",
  36861. "name": "Conv2DBackpropInput",
  36862. "pid": 15,
  36863. "tid": 3,
  36864. "ts": 1539815917065695,
  36865. "dur": 302,
  36866. "args": {
  36867. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36868. "op": "Conv2DBackpropInput"
  36869. }
  36870. },
  36871. {
  36872. "ph": "X",
  36873. "cat": "Op",
  36874. "name": "Conv2DBackpropInput",
  36875. "pid": 15,
  36876. "tid": 0,
  36877. "ts": 1539815917065988,
  36878. "dur": 681,
  36879. "args": {
  36880. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36881. "op": "Conv2DBackpropInput"
  36882. }
  36883. },
  36884. {
  36885. "ph": "X",
  36886. "cat": "Op",
  36887. "name": "Conv2DBackpropInput",
  36888. "pid": 15,
  36889. "tid": 3,
  36890. "ts": 1539815917066008,
  36891. "dur": 544,
  36892. "args": {
  36893. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36894. "op": "Conv2DBackpropInput"
  36895. }
  36896. },
  36897. {
  36898. "ph": "X",
  36899. "cat": "Op",
  36900. "name": "Conv2DBackpropInput",
  36901. "pid": 15,
  36902. "tid": 0,
  36903. "ts": 1539815917066674,
  36904. "dur": 142,
  36905. "args": {
  36906. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36907. "op": "Conv2DBackpropInput"
  36908. }
  36909. },
  36910. {
  36911. "ph": "X",
  36912. "cat": "Op",
  36913. "name": "Conv2DBackpropInput",
  36914. "pid": 15,
  36915. "tid": 2,
  36916. "ts": 1539815917066555,
  36917. "dur": 140,
  36918. "args": {
  36919. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36920. "op": "Conv2DBackpropInput"
  36921. }
  36922. },
  36923. {
  36924. "ph": "X",
  36925. "cat": "Op",
  36926. "name": "Conv2DBackpropInput",
  36927. "pid": 15,
  36928. "tid": 4,
  36929. "ts": 1539815917066548,
  36930. "dur": 67,
  36931. "args": {
  36932. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36933. "op": "Conv2DBackpropInput"
  36934. }
  36935. },
  36936. {
  36937. "ph": "X",
  36938. "cat": "Op",
  36939. "name": "Conv2DBackpropInput",
  36940. "pid": 15,
  36941. "tid": 1,
  36942. "ts": 1539815917066620,
  36943. "dur": 300,
  36944. "args": {
  36945. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36946. "op": "Conv2DBackpropInput"
  36947. }
  36948. },
  36949. {
  36950. "ph": "X",
  36951. "cat": "Op",
  36952. "name": "Conv2DBackpropInput",
  36953. "pid": 15,
  36954. "tid": 0,
  36955. "ts": 1539815917066924,
  36956. "dur": 4,
  36957. "args": {
  36958. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36959. "op": "Conv2DBackpropInput"
  36960. }
  36961. },
  36962. {
  36963. "ph": "X",
  36964. "cat": "Op",
  36965. "name": "Conv2DBackpropInput",
  36966. "pid": 15,
  36967. "tid": 0,
  36968. "ts": 1539815917066931,
  36969. "dur": 751,
  36970. "args": {
  36971. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36972. "op": "Conv2DBackpropInput"
  36973. }
  36974. },
  36975. {
  36976. "ph": "X",
  36977. "cat": "Op",
  36978. "name": "Conv2DBackpropInput",
  36979. "pid": 15,
  36980. "tid": 0,
  36981. "ts": 1539815917067687,
  36982. "dur": 148,
  36983. "args": {
  36984. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36985. "op": "Conv2DBackpropInput"
  36986. }
  36987. },
  36988. {
  36989. "ph": "X",
  36990. "cat": "Op",
  36991. "name": "Conv2DBackpropInput",
  36992. "pid": 15,
  36993. "tid": 3,
  36994. "ts": 1539815917066642,
  36995. "dur": 70,
  36996. "args": {
  36997. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  36998. "op": "Conv2DBackpropInput"
  36999. }
  37000. },
  37001. {
  37002. "ph": "X",
  37003. "cat": "Op",
  37004. "name": "Conv2DBackpropInput",
  37005. "pid": 15,
  37006. "tid": 2,
  37007. "ts": 1539815917066716,
  37008. "dur": 317,
  37009. "args": {
  37010. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37011. "op": "Conv2DBackpropInput"
  37012. }
  37013. },
  37014. {
  37015. "ph": "X",
  37016. "cat": "Op",
  37017. "name": "Conv2DBackpropInput",
  37018. "pid": 15,
  37019. "tid": 1,
  37020. "ts": 1539815917067037,
  37021. "dur": 5,
  37022. "args": {
  37023. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37024. "op": "Conv2DBackpropInput"
  37025. }
  37026. },
  37027. {
  37028. "ph": "X",
  37029. "cat": "Op",
  37030. "name": "Conv2DBackpropInput",
  37031. "pid": 15,
  37032. "tid": 1,
  37033. "ts": 1539815917067045,
  37034. "dur": 750,
  37035. "args": {
  37036. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37037. "op": "Conv2DBackpropInput"
  37038. }
  37039. },
  37040. {
  37041. "ph": "X",
  37042. "cat": "Op",
  37043. "name": "Conv2DBackpropInput",
  37044. "pid": 15,
  37045. "tid": 1,
  37046. "ts": 1539815917067800,
  37047. "dur": 146,
  37048. "args": {
  37049. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37050. "op": "Conv2DBackpropInput"
  37051. }
  37052. },
  37053. {
  37054. "ph": "X",
  37055. "cat": "Op",
  37056. "name": "Conv2DBackpropInput",
  37057. "pid": 15,
  37058. "tid": 3,
  37059. "ts": 1539815917066751,
  37060. "dur": 65,
  37061. "args": {
  37062. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37063. "op": "Conv2DBackpropInput"
  37064. }
  37065. },
  37066. {
  37067. "ph": "X",
  37068. "cat": "Op",
  37069. "name": "Conv2DBackpropInput",
  37070. "pid": 15,
  37071. "tid": 3,
  37072. "ts": 1539815917066820,
  37073. "dur": 304,
  37074. "args": {
  37075. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37076. "op": "Conv2DBackpropInput"
  37077. }
  37078. },
  37079. {
  37080. "ph": "X",
  37081. "cat": "Op",
  37082. "name": "Conv2DBackpropInput",
  37083. "pid": 15,
  37084. "tid": 2,
  37085. "ts": 1539815917067134,
  37086. "dur": 544,
  37087. "args": {
  37088. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37089. "op": "Conv2DBackpropInput"
  37090. }
  37091. },
  37092. {
  37093. "ph": "X",
  37094. "cat": "Op",
  37095. "name": "Conv2DBackpropInput",
  37096. "pid": 15,
  37097. "tid": 2,
  37098. "ts": 1539815917067682,
  37099. "dur": 141,
  37100. "args": {
  37101. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37102. "op": "Conv2DBackpropInput"
  37103. }
  37104. },
  37105. {
  37106. "ph": "X",
  37107. "cat": "Op",
  37108. "name": "Conv2DBackpropInput",
  37109. "pid": 15,
  37110. "tid": 4,
  37111. "ts": 1539815917066872,
  37112. "dur": 67,
  37113. "args": {
  37114. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37115. "op": "Conv2DBackpropInput"
  37116. }
  37117. },
  37118. {
  37119. "ph": "X",
  37120. "cat": "Op",
  37121. "name": "Conv2DBackpropInput",
  37122. "pid": 15,
  37123. "tid": 4,
  37124. "ts": 1539815917066942,
  37125. "dur": 303,
  37126. "args": {
  37127. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37128. "op": "Conv2DBackpropInput"
  37129. }
  37130. },
  37131. {
  37132. "ph": "X",
  37133. "cat": "Op",
  37134. "name": "Conv2DBackpropInput",
  37135. "pid": 15,
  37136. "tid": 3,
  37137. "ts": 1539815917067250,
  37138. "dur": 4,
  37139. "args": {
  37140. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37141. "op": "Conv2DBackpropInput"
  37142. }
  37143. },
  37144. {
  37145. "ph": "X",
  37146. "cat": "Op",
  37147. "name": "Conv2DBackpropInput",
  37148. "pid": 15,
  37149. "tid": 3,
  37150. "ts": 1539815917067257,
  37151. "dur": 681,
  37152. "args": {
  37153. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37154. "op": "Conv2DBackpropInput"
  37155. }
  37156. },
  37157. {
  37158. "ph": "X",
  37159. "cat": "Op",
  37160. "name": "Conv2DBackpropInput",
  37161. "pid": 15,
  37162. "tid": 0,
  37163. "ts": 1539815917067943,
  37164. "dur": 142,
  37165. "args": {
  37166. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37167. "op": "Conv2DBackpropInput"
  37168. }
  37169. },
  37170. {
  37171. "ph": "X",
  37172. "cat": "Op",
  37173. "name": "Conv2DBackpropInput",
  37174. "pid": 15,
  37175. "tid": 2,
  37176. "ts": 1539815917067888,
  37177. "dur": 67,
  37178. "args": {
  37179. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37180. "op": "Conv2DBackpropInput"
  37181. }
  37182. },
  37183. {
  37184. "ph": "X",
  37185. "cat": "Op",
  37186. "name": "Conv2DBackpropInput",
  37187. "pid": 15,
  37188. "tid": 4,
  37189. "ts": 1539815917067893,
  37190. "dur": 294,
  37191. "args": {
  37192. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37193. "op": "Conv2DBackpropInput"
  37194. }
  37195. },
  37196. {
  37197. "ph": "X",
  37198. "cat": "Op",
  37199. "name": "Conv2DBackpropInput",
  37200. "pid": 15,
  37201. "tid": 1,
  37202. "ts": 1539815917067958,
  37203. "dur": 306,
  37204. "args": {
  37205. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37206. "op": "Conv2DBackpropInput"
  37207. }
  37208. },
  37209. {
  37210. "ph": "X",
  37211. "cat": "Op",
  37212. "name": "Conv2DBackpropInput",
  37213. "pid": 15,
  37214. "tid": 0,
  37215. "ts": 1539815917068191,
  37216. "dur": 15,
  37217. "args": {
  37218. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37219. "op": "Conv2DBackpropInput"
  37220. }
  37221. },
  37222. {
  37223. "ph": "X",
  37224. "cat": "Op",
  37225. "name": "Conv2DBackpropInput",
  37226. "pid": 15,
  37227. "tid": 0,
  37228. "ts": 1539815917068268,
  37229. "dur": 5,
  37230. "args": {
  37231. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37232. "op": "Conv2DBackpropInput"
  37233. }
  37234. },
  37235. {
  37236. "ph": "X",
  37237. "cat": "Op",
  37238. "name": "Conv2DBackpropInput",
  37239. "pid": 15,
  37240. "tid": 2,
  37241. "ts": 1539815917068209,
  37242. "dur": 226,
  37243. "args": {
  37244. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37245. "op": "Conv2DBackpropInput"
  37246. }
  37247. },
  37248. {
  37249. "ph": "X",
  37250. "cat": "Op",
  37251. "name": "Conv2DBackpropInput",
  37252. "pid": 15,
  37253. "tid": 0,
  37254. "ts": 1539815917068440,
  37255. "dur": 139,
  37256. "args": {
  37257. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37258. "op": "Conv2DBackpropInput"
  37259. }
  37260. },
  37261. {
  37262. "ph": "X",
  37263. "cat": "Op",
  37264. "name": "Conv2DBackpropInput",
  37265. "pid": 15,
  37266. "tid": 1,
  37267. "ts": 1539815917068278,
  37268. "dur": 748,
  37269. "args": {
  37270. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37271. "op": "Conv2DBackpropInput"
  37272. }
  37273. },
  37274. {
  37275. "ph": "X",
  37276. "cat": "Op",
  37277. "name": "Conv2DBackpropInput",
  37278. "pid": 15,
  37279. "tid": 0,
  37280. "ts": 1539815917069030,
  37281. "dur": 145,
  37282. "args": {
  37283. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37284. "op": "Conv2DBackpropInput"
  37285. }
  37286. },
  37287. {
  37288. "ph": "X",
  37289. "cat": "Op",
  37290. "name": "Conv2DBackpropInput",
  37291. "pid": 15,
  37292. "tid": 3,
  37293. "ts": 1539815917067999,
  37294. "dur": 67,
  37295. "args": {
  37296. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37297. "op": "Conv2DBackpropInput"
  37298. }
  37299. },
  37300. {
  37301. "ph": "X",
  37302. "cat": "Op",
  37303. "name": "Conv2DBackpropInput",
  37304. "pid": 15,
  37305. "tid": 3,
  37306. "ts": 1539815917068069,
  37307. "dur": 316,
  37308. "args": {
  37309. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37310. "op": "Conv2DBackpropInput"
  37311. }
  37312. },
  37313. {
  37314. "ph": "X",
  37315. "cat": "Op",
  37316. "name": "Conv2DBackpropInput",
  37317. "pid": 15,
  37318. "tid": 3,
  37319. "ts": 1539815917068390,
  37320. "dur": 5,
  37321. "args": {
  37322. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37323. "op": "Conv2DBackpropInput"
  37324. }
  37325. },
  37326. {
  37327. "ph": "X",
  37328. "cat": "Op",
  37329. "name": "Conv2DBackpropInput",
  37330. "pid": 15,
  37331. "tid": 3,
  37332. "ts": 1539815917068399,
  37333. "dur": 754,
  37334. "args": {
  37335. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37336. "op": "Conv2DBackpropInput"
  37337. }
  37338. },
  37339. {
  37340. "ph": "X",
  37341. "cat": "Op",
  37342. "name": "Conv2DBackpropInput",
  37343. "pid": 15,
  37344. "tid": 1,
  37345. "ts": 1539815917069158,
  37346. "dur": 146,
  37347. "args": {
  37348. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37349. "op": "Conv2DBackpropInput"
  37350. }
  37351. },
  37352. {
  37353. "ph": "X",
  37354. "cat": "Op",
  37355. "name": "Conv2DBackpropInput",
  37356. "pid": 15,
  37357. "tid": 5,
  37358. "ts": 1539815917068137,
  37359. "dur": 61,
  37360. "args": {
  37361. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37362. "op": "Conv2DBackpropInput"
  37363. }
  37364. },
  37365. {
  37366. "ph": "X",
  37367. "cat": "Op",
  37368. "name": "Conv2DBackpropInput",
  37369. "pid": 15,
  37370. "tid": 4,
  37371. "ts": 1539815917068203,
  37372. "dur": 304,
  37373. "args": {
  37374. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37375. "op": "Conv2DBackpropInput"
  37376. }
  37377. },
  37378. {
  37379. "ph": "X",
  37380. "cat": "Op",
  37381. "name": "Conv2DBackpropInput",
  37382. "pid": 15,
  37383. "tid": 2,
  37384. "ts": 1539815917068518,
  37385. "dur": 558,
  37386. "args": {
  37387. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37388. "op": "Conv2DBackpropInput"
  37389. }
  37390. },
  37391. {
  37392. "ph": "X",
  37393. "cat": "Op",
  37394. "name": "Conv2DBackpropInput",
  37395. "pid": 15,
  37396. "tid": 2,
  37397. "ts": 1539815917069079,
  37398. "dur": 142,
  37399. "args": {
  37400. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37401. "op": "Conv2DBackpropInput"
  37402. }
  37403. },
  37404. {
  37405. "ph": "X",
  37406. "cat": "Op",
  37407. "name": "Conv2DBackpropInput",
  37408. "pid": 15,
  37409. "tid": 4,
  37410. "ts": 1539815917068622,
  37411. "dur": 292,
  37412. "args": {
  37413. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37414. "op": "Conv2DBackpropInput"
  37415. }
  37416. },
  37417. {
  37418. "ph": "X",
  37419. "cat": "Op",
  37420. "name": "Conv2DBackpropInput",
  37421. "pid": 15,
  37422. "tid": 4,
  37423. "ts": 1539815917068918,
  37424. "dur": 15,
  37425. "args": {
  37426. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37427. "op": "Conv2DBackpropInput"
  37428. }
  37429. },
  37430. {
  37431. "ph": "X",
  37432. "cat": "Op",
  37433. "name": "Conv2DBackpropInput",
  37434. "pid": 15,
  37435. "tid": 4,
  37436. "ts": 1539815917068937,
  37437. "dur": 227,
  37438. "args": {
  37439. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37440. "op": "Conv2DBackpropInput"
  37441. }
  37442. },
  37443. {
  37444. "ph": "X",
  37445. "cat": "Op",
  37446. "name": "Conv2DBackpropInput",
  37447. "pid": 15,
  37448. "tid": 3,
  37449. "ts": 1539815917069169,
  37450. "dur": 141,
  37451. "args": {
  37452. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37453. "op": "Conv2DBackpropInput"
  37454. }
  37455. },
  37456. {
  37457. "ph": "X",
  37458. "cat": "Op",
  37459. "name": "Conv2DBackpropInput",
  37460. "pid": 15,
  37461. "tid": 0,
  37462. "ts": 1539815917069231,
  37463. "dur": 67,
  37464. "args": {
  37465. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37466. "op": "Conv2DBackpropInput"
  37467. }
  37468. },
  37469. {
  37470. "ph": "X",
  37471. "cat": "Op",
  37472. "name": "Conv2DBackpropInput",
  37473. "pid": 15,
  37474. "tid": 0,
  37475. "ts": 1539815917069303,
  37476. "dur": 303,
  37477. "args": {
  37478. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37479. "op": "Conv2DBackpropInput"
  37480. }
  37481. },
  37482. {
  37483. "ph": "X",
  37484. "cat": "Op",
  37485. "name": "Conv2DBackpropInput",
  37486. "pid": 15,
  37487. "tid": 0,
  37488. "ts": 1539815917069616,
  37489. "dur": 609,
  37490. "args": {
  37491. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37492. "op": "Conv2DBackpropInput"
  37493. }
  37494. },
  37495. {
  37496. "ph": "X",
  37497. "cat": "Op",
  37498. "name": "Conv2DBackpropInput",
  37499. "pid": 15,
  37500. "tid": 2,
  37501. "ts": 1539815917069272,
  37502. "dur": 62,
  37503. "args": {
  37504. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37505. "op": "Conv2DBackpropInput"
  37506. }
  37507. },
  37508. {
  37509. "ph": "X",
  37510. "cat": "Op",
  37511. "name": "Conv2DBackpropInput",
  37512. "pid": 15,
  37513. "tid": 0,
  37514. "ts": 1539815917070228,
  37515. "dur": 146,
  37516. "args": {
  37517. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37518. "op": "Conv2DBackpropInput"
  37519. }
  37520. },
  37521. {
  37522. "ph": "X",
  37523. "cat": "Op",
  37524. "name": "Conv2DBackpropInput",
  37525. "pid": 15,
  37526. "tid": 1,
  37527. "ts": 1539815917069339,
  37528. "dur": 300,
  37529. "args": {
  37530. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37531. "op": "Conv2DBackpropInput"
  37532. }
  37533. },
  37534. {
  37535. "ph": "X",
  37536. "cat": "Op",
  37537. "name": "Conv2DBackpropInput",
  37538. "pid": 15,
  37539. "tid": 1,
  37540. "ts": 1539815917069649,
  37541. "dur": 559,
  37542. "args": {
  37543. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37544. "op": "Conv2DBackpropInput"
  37545. }
  37546. },
  37547. {
  37548. "ph": "X",
  37549. "cat": "Op",
  37550. "name": "Conv2DBackpropInput",
  37551. "pid": 15,
  37552. "tid": 1,
  37553. "ts": 1539815917070211,
  37554. "dur": 141,
  37555. "args": {
  37556. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37557. "op": "Conv2DBackpropInput"
  37558. }
  37559. },
  37560. {
  37561. "ph": "X",
  37562. "cat": "Op",
  37563. "name": "Conv2DBackpropInput",
  37564. "pid": 15,
  37565. "tid": 2,
  37566. "ts": 1539815917069351,
  37567. "dur": 293,
  37568. "args": {
  37569. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37570. "op": "Conv2DBackpropInput"
  37571. }
  37572. },
  37573. {
  37574. "ph": "X",
  37575. "cat": "Op",
  37576. "name": "Conv2DBackpropInput",
  37577. "pid": 15,
  37578. "tid": 2,
  37579. "ts": 1539815917069648,
  37580. "dur": 16,
  37581. "args": {
  37582. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37583. "op": "Conv2DBackpropInput"
  37584. }
  37585. },
  37586. {
  37587. "ph": "X",
  37588. "cat": "Op",
  37589. "name": "Conv2DBackpropInput",
  37590. "pid": 15,
  37591. "tid": 3,
  37592. "ts": 1539815917069365,
  37593. "dur": 65,
  37594. "args": {
  37595. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37596. "op": "Conv2DBackpropInput"
  37597. }
  37598. },
  37599. {
  37600. "ph": "X",
  37601. "cat": "Op",
  37602. "name": "Conv2DBackpropInput",
  37603. "pid": 15,
  37604. "tid": 2,
  37605. "ts": 1539815917069667,
  37606. "dur": 223,
  37607. "args": {
  37608. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37609. "op": "Conv2DBackpropInput"
  37610. }
  37611. },
  37612. {
  37613. "ph": "X",
  37614. "cat": "Op",
  37615. "name": "Conv2DBackpropInput",
  37616. "pid": 15,
  37617. "tid": 3,
  37618. "ts": 1539815917069434,
  37619. "dur": 317,
  37620. "args": {
  37621. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37622. "op": "Conv2DBackpropInput"
  37623. }
  37624. },
  37625. {
  37626. "ph": "X",
  37627. "cat": "Op",
  37628. "name": "Conv2DBackpropInput",
  37629. "pid": 15,
  37630. "tid": 2,
  37631. "ts": 1539815917069895,
  37632. "dur": 139,
  37633. "args": {
  37634. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37635. "op": "Conv2DBackpropInput"
  37636. }
  37637. },
  37638. {
  37639. "ph": "X",
  37640. "cat": "Op",
  37641. "name": "Conv2DBackpropInput",
  37642. "pid": 15,
  37643. "tid": 3,
  37644. "ts": 1539815917069761,
  37645. "dur": 607,
  37646. "args": {
  37647. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37648. "op": "Conv2DBackpropInput"
  37649. }
  37650. },
  37651. {
  37652. "ph": "X",
  37653. "cat": "Op",
  37654. "name": "Conv2DBackpropInput",
  37655. "pid": 15,
  37656. "tid": 1,
  37657. "ts": 1539815917070372,
  37658. "dur": 145,
  37659. "args": {
  37660. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37661. "op": "Conv2DBackpropInput"
  37662. }
  37663. },
  37664. {
  37665. "ph": "X",
  37666. "cat": "Op",
  37667. "name": "FusedBatchNormGrad",
  37668. "pid": 15,
  37669. "tid": 2,
  37670. "ts": 1539815917070037,
  37671. "dur": 3,
  37672. "args": {
  37673. "name": "tower_3/training/TFOptimizer/gradients/tower_3/batch_normalization_1/FusedBatchNorm_grad/FusedBatchNormGrad",
  37674. "op": "FusedBatchNormGrad"
  37675. }
  37676. },
  37677. {
  37678. "ph": "X",
  37679. "cat": "Op",
  37680. "name": "FusedBatchNormGrad",
  37681. "pid": 15,
  37682. "tid": 2,
  37683. "ts": 1539815917070043,
  37684. "dur": 2,
  37685. "args": {
  37686. "name": "tower_3/training/TFOptimizer/gradients/tower_3/batch_normalization_1/FusedBatchNorm_grad/FusedBatchNormGrad",
  37687. "op": "FusedBatchNormGrad"
  37688. }
  37689. },
  37690. {
  37691. "ph": "X",
  37692. "cat": "Op",
  37693. "name": "FusedBatchNormGrad",
  37694. "pid": 15,
  37695. "tid": 2,
  37696. "ts": 1539815917070049,
  37697. "dur": 108,
  37698. "args": {
  37699. "name": "tower_3/training/TFOptimizer/gradients/tower_3/batch_normalization_1/FusedBatchNorm_grad/FusedBatchNormGrad",
  37700. "op": "FusedBatchNormGrad"
  37701. }
  37702. },
  37703. {
  37704. "ph": "X",
  37705. "cat": "Op",
  37706. "name": "Mul",
  37707. "pid": 15,
  37708. "tid": 2,
  37709. "ts": 1539815917070162,
  37710. "dur": 49,
  37711. "args": {
  37712. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout/dropout/mul_grad/Mul",
  37713. "op": "Mul"
  37714. }
  37715. },
  37716. {
  37717. "ph": "X",
  37718. "cat": "Op",
  37719. "name": "Mul",
  37720. "pid": 15,
  37721. "tid": 2,
  37722. "ts": 1539815917070214,
  37723. "dur": 34,
  37724. "args": {
  37725. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout/dropout/div_grad/RealDiv",
  37726. "op": "Mul"
  37727. }
  37728. },
  37729. {
  37730. "ph": "X",
  37731. "cat": "Op",
  37732. "name": "Transpose",
  37733. "pid": 15,
  37734. "tid": 2,
  37735. "ts": 1539815917070252,
  37736. "dur": 37,
  37737. "args": {
  37738. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout/dropout/div_grad/RealDiv-0-0-TransposeNCHWToNHWC-LayoutOptimizer",
  37739. "op": "Transpose"
  37740. }
  37741. },
  37742. {
  37743. "ph": "X",
  37744. "cat": "Op",
  37745. "name": "Transpose",
  37746. "pid": 15,
  37747. "tid": 2,
  37748. "ts": 1539815917070293,
  37749. "dur": 36,
  37750. "args": {
  37751. "name": "tower_3/training/TFOptimizer/gradients/tower_3/max_pooling2d/MaxPool_grad/MaxPoolGrad-2-TransposeNHWCToNCHW-LayoutOptimizer",
  37752. "op": "Transpose"
  37753. }
  37754. },
  37755. {
  37756. "ph": "X",
  37757. "cat": "Op",
  37758. "name": "MaxPoolGrad",
  37759. "pid": 15,
  37760. "tid": 2,
  37761. "ts": 1539815917070334,
  37762. "dur": 171,
  37763. "args": {
  37764. "name": "tower_3/training/TFOptimizer/gradients/tower_3/max_pooling2d/MaxPool_grad/MaxPoolGrad",
  37765. "op": "MaxPoolGrad"
  37766. }
  37767. },
  37768. {
  37769. "ph": "X",
  37770. "cat": "Op",
  37771. "name": "EluGrad",
  37772. "pid": 15,
  37773. "tid": 0,
  37774. "ts": 1539815917070508,
  37775. "dur": 200,
  37776. "args": {
  37777. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Elu_grad/EluGrad",
  37778. "op": "EluGrad"
  37779. }
  37780. },
  37781. {
  37782. "ph": "X",
  37783. "cat": "Op",
  37784. "name": "BiasAddGrad",
  37785. "pid": 15,
  37786. "tid": 0,
  37787. "ts": 1539815917070718,
  37788. "dur": 98,
  37789. "args": {
  37790. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/BiasAdd_grad/BiasAddGrad",
  37791. "op": "BiasAddGrad"
  37792. }
  37793. },
  37794. {
  37795. "ph": "X",
  37796. "cat": "Op",
  37797. "name": "Conv2DBackpropInput",
  37798. "pid": 15,
  37799. "tid": 3,
  37800. "ts": 1539815917070427,
  37801. "dur": 65,
  37802. "args": {
  37803. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37804. "op": "Conv2DBackpropInput"
  37805. }
  37806. },
  37807. {
  37808. "ph": "X",
  37809. "cat": "Op",
  37810. "name": "Conv2DBackpropInput",
  37811. "pid": 15,
  37812. "tid": 4,
  37813. "ts": 1539815917070439,
  37814. "dur": 304,
  37815. "args": {
  37816. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37817. "op": "Conv2DBackpropInput"
  37818. }
  37819. },
  37820. {
  37821. "ph": "X",
  37822. "cat": "Op",
  37823. "name": "Conv2DBackpropInput",
  37824. "pid": 15,
  37825. "tid": 3,
  37826. "ts": 1539815917070497,
  37827. "dur": 305,
  37828. "args": {
  37829. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37830. "op": "Conv2DBackpropInput"
  37831. }
  37832. },
  37833. {
  37834. "ph": "X",
  37835. "cat": "Op",
  37836. "name": "Conv2DBackpropInput",
  37837. "pid": 15,
  37838. "tid": 1,
  37839. "ts": 1539815917070747,
  37840. "dur": 16,
  37841. "args": {
  37842. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37843. "op": "Conv2DBackpropInput"
  37844. }
  37845. },
  37846. {
  37847. "ph": "X",
  37848. "cat": "Op",
  37849. "name": "Conv2DBackpropInput",
  37850. "pid": 15,
  37851. "tid": 1,
  37852. "ts": 1539815917070811,
  37853. "dur": 609,
  37854. "args": {
  37855. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37856. "op": "Conv2DBackpropInput"
  37857. }
  37858. },
  37859. {
  37860. "ph": "X",
  37861. "cat": "Op",
  37862. "name": "Conv2DBackpropInput",
  37863. "pid": 15,
  37864. "tid": 2,
  37865. "ts": 1539815917070766,
  37866. "dur": 231,
  37867. "args": {
  37868. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37869. "op": "Conv2DBackpropInput"
  37870. }
  37871. },
  37872. {
  37873. "ph": "X",
  37874. "cat": "Op",
  37875. "name": "Conv2DBackpropInput",
  37876. "pid": 15,
  37877. "tid": 0,
  37878. "ts": 1539815917071424,
  37879. "dur": 143,
  37880. "args": {
  37881. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37882. "op": "Conv2DBackpropInput"
  37883. }
  37884. },
  37885. {
  37886. "ph": "X",
  37887. "cat": "Op",
  37888. "name": "Conv2DBackpropInput",
  37889. "pid": 15,
  37890. "tid": 2,
  37891. "ts": 1539815917071001,
  37892. "dur": 146,
  37893. "args": {
  37894. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37895. "op": "Conv2DBackpropInput"
  37896. }
  37897. },
  37898. {
  37899. "ph": "X",
  37900. "cat": "Op",
  37901. "name": "Conv2DBackpropInput",
  37902. "pid": 15,
  37903. "tid": 5,
  37904. "ts": 1539815917070570,
  37905. "dur": 66,
  37906. "args": {
  37907. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37908. "op": "Conv2DBackpropInput"
  37909. }
  37910. },
  37911. {
  37912. "ph": "X",
  37913. "cat": "Op",
  37914. "name": "Conv2DBackpropInput",
  37915. "pid": 15,
  37916. "tid": 5,
  37917. "ts": 1539815917070641,
  37918. "dur": 316,
  37919. "args": {
  37920. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37921. "op": "Conv2DBackpropInput"
  37922. }
  37923. },
  37924. {
  37925. "ph": "X",
  37926. "cat": "Op",
  37927. "name": "Conv2DBackpropInput",
  37928. "pid": 15,
  37929. "tid": 3,
  37930. "ts": 1539815917070966,
  37931. "dur": 610,
  37932. "args": {
  37933. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37934. "op": "Conv2DBackpropInput"
  37935. }
  37936. },
  37937. {
  37938. "ph": "X",
  37939. "cat": "Op",
  37940. "name": "Conv2DBackpropInput",
  37941. "pid": 15,
  37942. "tid": 0,
  37943. "ts": 1539815917071580,
  37944. "dur": 146,
  37945. "args": {
  37946. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  37947. "op": "Conv2DBackpropInput"
  37948. }
  37949. },
  37950. {
  37951. "ph": "X",
  37952. "cat": "Op",
  37953. "name": "BiasAddGrad",
  37954. "pid": 15,
  37955. "tid": 4,
  37956. "ts": 1539815917070849,
  37957. "dur": 64,
  37958. "args": {
  37959. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/BiasAdd_grad/BiasAddGrad",
  37960. "op": "BiasAddGrad"
  37961. }
  37962. },
  37963. {
  37964. "ph": "X",
  37965. "cat": "Op",
  37966. "name": "BiasAddGrad",
  37967. "pid": 15,
  37968. "tid": 4,
  37969. "ts": 1539815917070917,
  37970. "dur": 5,
  37971. "args": {
  37972. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/BiasAdd_grad/BiasAddGrad",
  37973. "op": "BiasAddGrad"
  37974. }
  37975. },
  37976. {
  37977. "ph": "X",
  37978. "cat": "Op",
  37979. "name": "BiasAddGrad",
  37980. "pid": 15,
  37981. "tid": 4,
  37982. "ts": 1539815917070925,
  37983. "dur": 4,
  37984. "args": {
  37985. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/BiasAdd_grad/BiasAddGrad",
  37986. "op": "BiasAddGrad"
  37987. }
  37988. },
  37989. {
  37990. "ph": "X",
  37991. "cat": "Op",
  37992. "name": "Conv2DBackpropFilter",
  37993. "pid": 15,
  37994. "tid": 4,
  37995. "ts": 1539815917071048,
  37996. "dur": 214,
  37997. "args": {
  37998. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  37999. "op": "Conv2DBackpropFilter"
  38000. }
  38001. },
  38002. {
  38003. "ph": "X",
  38004. "cat": "Op",
  38005. "name": "Conv2DBackpropInput",
  38006. "pid": 15,
  38007. "tid": 2,
  38008. "ts": 1539815917071196,
  38009. "dur": 305,
  38010. "args": {
  38011. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  38012. "op": "Conv2DBackpropInput"
  38013. }
  38014. },
  38015. {
  38016. "ph": "X",
  38017. "cat": "Op",
  38018. "name": "Conv2DBackpropInput",
  38019. "pid": 15,
  38020. "tid": 1,
  38021. "ts": 1539815917071504,
  38022. "dur": 16,
  38023. "args": {
  38024. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  38025. "op": "Conv2DBackpropInput"
  38026. }
  38027. },
  38028. {
  38029. "ph": "X",
  38030. "cat": "Op",
  38031. "name": "Conv2DBackpropInput",
  38032. "pid": 15,
  38033. "tid": 1,
  38034. "ts": 1539815917071524,
  38035. "dur": 230,
  38036. "args": {
  38037. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  38038. "op": "Conv2DBackpropInput"
  38039. }
  38040. },
  38041. {
  38042. "ph": "X",
  38043. "cat": "Op",
  38044. "name": "Conv2DBackpropInput",
  38045. "pid": 15,
  38046. "tid": 0,
  38047. "ts": 1539815917071758,
  38048. "dur": 139,
  38049. "args": {
  38050. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  38051. "op": "Conv2DBackpropInput"
  38052. }
  38053. },
  38054. {
  38055. "ph": "X",
  38056. "cat": "Op",
  38057. "name": "Conv2DBackpropFilter",
  38058. "pid": 15,
  38059. "tid": 4,
  38060. "ts": 1539815917071321,
  38061. "dur": 214,
  38062. "args": {
  38063. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  38064. "op": "Conv2DBackpropFilter"
  38065. }
  38066. },
  38067. {
  38068. "ph": "X",
  38069. "cat": "Op",
  38070. "name": "Conv2DBackpropFilter",
  38071. "pid": 15,
  38072. "tid": 2,
  38073. "ts": 1539815917071606,
  38074. "dur": 3,
  38075. "args": {
  38076. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  38077. "op": "Conv2DBackpropFilter"
  38078. }
  38079. },
  38080. {
  38081. "ph": "X",
  38082. "cat": "Op",
  38083. "name": "Conv2DBackpropFilter",
  38084. "pid": 15,
  38085. "tid": 2,
  38086. "ts": 1539815917071617,
  38087. "dur": 3,
  38088. "args": {
  38089. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  38090. "op": "Conv2DBackpropFilter"
  38091. }
  38092. },
  38093. {
  38094. "ph": "X",
  38095. "cat": "Op",
  38096. "name": "Conv2DBackpropFilter",
  38097. "pid": 15,
  38098. "tid": 2,
  38099. "ts": 1539815917071627,
  38100. "dur": 3,
  38101. "args": {
  38102. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  38103. "op": "Conv2DBackpropFilter"
  38104. }
  38105. },
  38106. {
  38107. "ph": "X",
  38108. "cat": "Op",
  38109. "name": "Conv2DBackpropInput",
  38110. "pid": 15,
  38111. "tid": 2,
  38112. "ts": 1539815917071637,
  38113. "dur": 332,
  38114. "args": {
  38115. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  38116. "op": "Conv2DBackpropInput"
  38117. }
  38118. },
  38119. {
  38120. "ph": "X",
  38121. "cat": "Op",
  38122. "name": "Conv2DBackpropFilter",
  38123. "pid": 15,
  38124. "tid": 3,
  38125. "ts": 1539815917071640,
  38126. "dur": 906,
  38127. "args": {
  38128. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  38129. "op": "Conv2DBackpropFilter"
  38130. }
  38131. },
  38132. {
  38133. "ph": "X",
  38134. "cat": "Op",
  38135. "name": "Conv2DBackpropInput",
  38136. "pid": 15,
  38137. "tid": 0,
  38138. "ts": 1539815917071974,
  38139. "dur": 16,
  38140. "args": {
  38141. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  38142. "op": "Conv2DBackpropInput"
  38143. }
  38144. },
  38145. {
  38146. "ph": "X",
  38147. "cat": "Op",
  38148. "name": "Conv2DBackpropInput",
  38149. "pid": 15,
  38150. "tid": 0,
  38151. "ts": 1539815917071995,
  38152. "dur": 245,
  38153. "args": {
  38154. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  38155. "op": "Conv2DBackpropInput"
  38156. }
  38157. },
  38158. {
  38159. "ph": "X",
  38160. "cat": "Op",
  38161. "name": "Conv2DBackpropInput",
  38162. "pid": 15,
  38163. "tid": 0,
  38164. "ts": 1539815917072244,
  38165. "dur": 149,
  38166. "args": {
  38167. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  38168. "op": "Conv2DBackpropInput"
  38169. }
  38170. },
  38171. {
  38172. "ph": "X",
  38173. "cat": "Op",
  38174. "name": "Conv2DBackpropInput",
  38175. "pid": 15,
  38176. "tid": 1,
  38177. "ts": 1539815917071795,
  38178. "dur": 331,
  38179. "args": {
  38180. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  38181. "op": "Conv2DBackpropInput"
  38182. }
  38183. },
  38184. {
  38185. "ph": "X",
  38186. "cat": "Op",
  38187. "name": "Conv2DBackpropInput",
  38188. "pid": 15,
  38189. "tid": 1,
  38190. "ts": 1539815917072131,
  38191. "dur": 16,
  38192. "args": {
  38193. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  38194. "op": "Conv2DBackpropInput"
  38195. }
  38196. },
  38197. {
  38198. "ph": "X",
  38199. "cat": "Op",
  38200. "name": "Conv2DBackpropInput",
  38201. "pid": 15,
  38202. "tid": 1,
  38203. "ts": 1539815917072150,
  38204. "dur": 250,
  38205. "args": {
  38206. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  38207. "op": "Conv2DBackpropInput"
  38208. }
  38209. },
  38210. {
  38211. "ph": "X",
  38212. "cat": "Op",
  38213. "name": "Conv2DBackpropInput",
  38214. "pid": 15,
  38215. "tid": 0,
  38216. "ts": 1539815917072404,
  38217. "dur": 148,
  38218. "args": {
  38219. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  38220. "op": "Conv2DBackpropInput"
  38221. }
  38222. },
  38223. {
  38224. "ph": "X",
  38225. "cat": "Op",
  38226. "name": "Conv2DBackpropInput",
  38227. "pid": 15,
  38228. "tid": 4,
  38229. "ts": 1539815917071938,
  38230. "dur": 304,
  38231. "args": {
  38232. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  38233. "op": "Conv2DBackpropInput"
  38234. }
  38235. },
  38236. {
  38237. "ph": "X",
  38238. "cat": "Op",
  38239. "name": "Conv2DBackpropInput",
  38240. "pid": 15,
  38241. "tid": 2,
  38242. "ts": 1539815917072246,
  38243. "dur": 15,
  38244. "args": {
  38245. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  38246. "op": "Conv2DBackpropInput"
  38247. }
  38248. },
  38249. {
  38250. "ph": "X",
  38251. "cat": "Op",
  38252. "name": "Conv2DBackpropInput",
  38253. "pid": 15,
  38254. "tid": 2,
  38255. "ts": 1539815917072264,
  38256. "dur": 231,
  38257. "args": {
  38258. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  38259. "op": "Conv2DBackpropInput"
  38260. }
  38261. },
  38262. {
  38263. "ph": "X",
  38264. "cat": "Op",
  38265. "name": "Conv2DBackpropInput",
  38266. "pid": 15,
  38267. "tid": 1,
  38268. "ts": 1539815917072500,
  38269. "dur": 140,
  38270. "args": {
  38271. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  38272. "op": "Conv2DBackpropInput"
  38273. }
  38274. },
  38275. {
  38276. "ph": "X",
  38277. "cat": "Op",
  38278. "name": "FusedBatchNormGrad",
  38279. "pid": 15,
  38280. "tid": 0,
  38281. "ts": 1539815917072643,
  38282. "dur": 3,
  38283. "args": {
  38284. "name": "training/TFOptimizer/gradients/batch_normalization_1/FusedBatchNorm_grad/FusedBatchNormGrad",
  38285. "op": "FusedBatchNormGrad"
  38286. }
  38287. },
  38288. {
  38289. "ph": "X",
  38290. "cat": "Op",
  38291. "name": "FusedBatchNormGrad",
  38292. "pid": 15,
  38293. "tid": 0,
  38294. "ts": 1539815917072649,
  38295. "dur": 3,
  38296. "args": {
  38297. "name": "training/TFOptimizer/gradients/batch_normalization_1/FusedBatchNorm_grad/FusedBatchNormGrad",
  38298. "op": "FusedBatchNormGrad"
  38299. }
  38300. },
  38301. {
  38302. "ph": "X",
  38303. "cat": "Op",
  38304. "name": "FusedBatchNormGrad",
  38305. "pid": 15,
  38306. "tid": 0,
  38307. "ts": 1539815917072655,
  38308. "dur": 110,
  38309. "args": {
  38310. "name": "training/TFOptimizer/gradients/batch_normalization_1/FusedBatchNorm_grad/FusedBatchNormGrad",
  38311. "op": "FusedBatchNormGrad"
  38312. }
  38313. },
  38314. {
  38315. "ph": "X",
  38316. "cat": "Op",
  38317. "name": "Mul",
  38318. "pid": 15,
  38319. "tid": 0,
  38320. "ts": 1539815917072770,
  38321. "dur": 50,
  38322. "args": {
  38323. "name": "training/TFOptimizer/gradients/dropout/dropout/mul_grad/Mul",
  38324. "op": "Mul"
  38325. }
  38326. },
  38327. {
  38328. "ph": "X",
  38329. "cat": "Op",
  38330. "name": "Mul",
  38331. "pid": 15,
  38332. "tid": 0,
  38333. "ts": 1539815917072823,
  38334. "dur": 34,
  38335. "args": {
  38336. "name": "training/TFOptimizer/gradients/dropout/dropout/div_grad/RealDiv",
  38337. "op": "Mul"
  38338. }
  38339. },
  38340. {
  38341. "ph": "X",
  38342. "cat": "Op",
  38343. "name": "Transpose",
  38344. "pid": 15,
  38345. "tid": 0,
  38346. "ts": 1539815917072861,
  38347. "dur": 36,
  38348. "args": {
  38349. "name": "training/TFOptimizer/gradients/dropout/dropout/div_grad/RealDiv-0-0-TransposeNCHWToNHWC-LayoutOptimizer",
  38350. "op": "Transpose"
  38351. }
  38352. },
  38353. {
  38354. "ph": "X",
  38355. "cat": "Op",
  38356. "name": "Transpose",
  38357. "pid": 15,
  38358. "tid": 0,
  38359. "ts": 1539815917072901,
  38360. "dur": 37,
  38361. "args": {
  38362. "name": "training/TFOptimizer/gradients/max_pooling2d/MaxPool_grad/MaxPoolGrad-2-TransposeNHWCToNCHW-LayoutOptimizer",
  38363. "op": "Transpose"
  38364. }
  38365. },
  38366. {
  38367. "ph": "X",
  38368. "cat": "Op",
  38369. "name": "MaxPoolGrad",
  38370. "pid": 15,
  38371. "tid": 0,
  38372. "ts": 1539815917072943,
  38373. "dur": 169,
  38374. "args": {
  38375. "name": "training/TFOptimizer/gradients/max_pooling2d/MaxPool_grad/MaxPoolGrad",
  38376. "op": "MaxPoolGrad"
  38377. }
  38378. },
  38379. {
  38380. "ph": "X",
  38381. "cat": "Op",
  38382. "name": "EluGrad",
  38383. "pid": 15,
  38384. "tid": 0,
  38385. "ts": 1539815917073116,
  38386. "dur": 200,
  38387. "args": {
  38388. "name": "training/TFOptimizer/gradients/conv2d/Elu_grad/EluGrad",
  38389. "op": "EluGrad"
  38390. }
  38391. },
  38392. {
  38393. "ph": "X",
  38394. "cat": "Op",
  38395. "name": "BiasAddGrad",
  38396. "pid": 15,
  38397. "tid": 0,
  38398. "ts": 1539815917073327,
  38399. "dur": 99,
  38400. "args": {
  38401. "name": "training/TFOptimizer/gradients/conv2d/BiasAdd_grad/BiasAddGrad",
  38402. "op": "BiasAddGrad"
  38403. }
  38404. },
  38405. {
  38406. "ph": "X",
  38407. "cat": "Op",
  38408. "name": "Conv2DBackpropInput",
  38409. "pid": 15,
  38410. "tid": 4,
  38411. "ts": 1539815917072437,
  38412. "dur": 329,
  38413. "args": {
  38414. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  38415. "op": "Conv2DBackpropInput"
  38416. }
  38417. },
  38418. {
  38419. "ph": "X",
  38420. "cat": "Op",
  38421. "name": "Conv2DBackpropInput",
  38422. "pid": 15,
  38423. "tid": 1,
  38424. "ts": 1539815917072771,
  38425. "dur": 16,
  38426. "args": {
  38427. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  38428. "op": "Conv2DBackpropInput"
  38429. }
  38430. },
  38431. {
  38432. "ph": "X",
  38433. "cat": "Op",
  38434. "name": "Conv2DBackpropInput",
  38435. "pid": 15,
  38436. "tid": 1,
  38437. "ts": 1539815917072790,
  38438. "dur": 246,
  38439. "args": {
  38440. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  38441. "op": "Conv2DBackpropInput"
  38442. }
  38443. },
  38444. {
  38445. "ph": "X",
  38446. "cat": "Op",
  38447. "name": "Conv2DBackpropInput",
  38448. "pid": 15,
  38449. "tid": 1,
  38450. "ts": 1539815917073040,
  38451. "dur": 142,
  38452. "args": {
  38453. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  38454. "op": "Conv2DBackpropInput"
  38455. }
  38456. },
  38457. {
  38458. "ph": "X",
  38459. "cat": "Op",
  38460. "name": "Conv2DBackpropInput",
  38461. "pid": 15,
  38462. "tid": 2,
  38463. "ts": 1539815917072596,
  38464. "dur": 330,
  38465. "args": {
  38466. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  38467. "op": "Conv2DBackpropInput"
  38468. }
  38469. },
  38470. {
  38471. "ph": "X",
  38472. "cat": "Op",
  38473. "name": "Conv2DBackpropInput",
  38474. "pid": 15,
  38475. "tid": 2,
  38476. "ts": 1539815917072931,
  38477. "dur": 16,
  38478. "args": {
  38479. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  38480. "op": "Conv2DBackpropInput"
  38481. }
  38482. },
  38483. {
  38484. "ph": "X",
  38485. "cat": "Op",
  38486. "name": "Conv2DBackpropFilter",
  38487. "pid": 15,
  38488. "tid": 3,
  38489. "ts": 1539815917072609,
  38490. "dur": 3,
  38491. "args": {
  38492. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  38493. "op": "Conv2DBackpropFilter"
  38494. }
  38495. },
  38496. {
  38497. "ph": "X",
  38498. "cat": "Op",
  38499. "name": "Conv2DBackpropInput",
  38500. "pid": 15,
  38501. "tid": 2,
  38502. "ts": 1539815917072952,
  38503. "dur": 250,
  38504. "args": {
  38505. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  38506. "op": "Conv2DBackpropInput"
  38507. }
  38508. },
  38509. {
  38510. "ph": "X",
  38511. "cat": "Op",
  38512. "name": "Conv2DBackpropFilter",
  38513. "pid": 15,
  38514. "tid": 3,
  38515. "ts": 1539815917072619,
  38516. "dur": 3,
  38517. "args": {
  38518. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  38519. "op": "Conv2DBackpropFilter"
  38520. }
  38521. },
  38522. {
  38523. "ph": "X",
  38524. "cat": "Op",
  38525. "name": "Conv2DBackpropInput",
  38526. "pid": 15,
  38527. "tid": 1,
  38528. "ts": 1539815917073206,
  38529. "dur": 153,
  38530. "args": {
  38531. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  38532. "op": "Conv2DBackpropInput"
  38533. }
  38534. },
  38535. {
  38536. "ph": "X",
  38537. "cat": "Op",
  38538. "name": "Conv2DBackpropFilter",
  38539. "pid": 15,
  38540. "tid": 3,
  38541. "ts": 1539815917072629,
  38542. "dur": 3,
  38543. "args": {
  38544. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  38545. "op": "Conv2DBackpropFilter"
  38546. }
  38547. },
  38548. {
  38549. "ph": "X",
  38550. "cat": "Op",
  38551. "name": "Conv2DBackpropFilter",
  38552. "pid": 15,
  38553. "tid": 3,
  38554. "ts": 1539815917072640,
  38555. "dur": 907,
  38556. "args": {
  38557. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  38558. "op": "Conv2DBackpropFilter"
  38559. }
  38560. },
  38561. {
  38562. "ph": "X",
  38563. "cat": "Op",
  38564. "name": "Conv2DBackpropInput",
  38565. "pid": 15,
  38566. "tid": 2,
  38567. "ts": 1539815917073223,
  38568. "dur": 302,
  38569. "args": {
  38570. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  38571. "op": "Conv2DBackpropInput"
  38572. }
  38573. },
  38574. {
  38575. "ph": "X",
  38576. "cat": "Op",
  38577. "name": "Conv2DBackpropInput",
  38578. "pid": 15,
  38579. "tid": 0,
  38580. "ts": 1539815917073529,
  38581. "dur": 16,
  38582. "args": {
  38583. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  38584. "op": "Conv2DBackpropInput"
  38585. }
  38586. },
  38587. {
  38588. "ph": "X",
  38589. "cat": "Op",
  38590. "name": "Conv2DBackpropInput",
  38591. "pid": 15,
  38592. "tid": 0,
  38593. "ts": 1539815917073548,
  38594. "dur": 230,
  38595. "args": {
  38596. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  38597. "op": "Conv2DBackpropInput"
  38598. }
  38599. },
  38600. {
  38601. "ph": "X",
  38602. "cat": "Op",
  38603. "name": "Conv2DBackpropInput",
  38604. "pid": 15,
  38605. "tid": 0,
  38606. "ts": 1539815917073782,
  38607. "dur": 143,
  38608. "args": {
  38609. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  38610. "op": "Conv2DBackpropInput"
  38611. }
  38612. },
  38613. {
  38614. "ph": "X",
  38615. "cat": "Op",
  38616. "name": "FusedBatchNormGrad",
  38617. "pid": 15,
  38618. "tid": 0,
  38619. "ts": 1539815917073928,
  38620. "dur": 4,
  38621. "args": {
  38622. "name": "tower_2/training/TFOptimizer/gradients/tower_2/batch_normalization_1/FusedBatchNorm_grad/FusedBatchNormGrad",
  38623. "op": "FusedBatchNormGrad"
  38624. }
  38625. },
  38626. {
  38627. "ph": "X",
  38628. "cat": "Op",
  38629. "name": "FusedBatchNormGrad",
  38630. "pid": 15,
  38631. "tid": 0,
  38632. "ts": 1539815917073935,
  38633. "dur": 3,
  38634. "args": {
  38635. "name": "tower_2/training/TFOptimizer/gradients/tower_2/batch_normalization_1/FusedBatchNorm_grad/FusedBatchNormGrad",
  38636. "op": "FusedBatchNormGrad"
  38637. }
  38638. },
  38639. {
  38640. "ph": "X",
  38641. "cat": "Op",
  38642. "name": "FusedBatchNormGrad",
  38643. "pid": 15,
  38644. "tid": 0,
  38645. "ts": 1539815917073941,
  38646. "dur": 110,
  38647. "args": {
  38648. "name": "tower_2/training/TFOptimizer/gradients/tower_2/batch_normalization_1/FusedBatchNorm_grad/FusedBatchNormGrad",
  38649. "op": "FusedBatchNormGrad"
  38650. }
  38651. },
  38652. {
  38653. "ph": "X",
  38654. "cat": "Op",
  38655. "name": "Conv2DBackpropInput",
  38656. "pid": 15,
  38657. "tid": 1,
  38658. "ts": 1539815917073398,
  38659. "dur": 331,
  38660. "args": {
  38661. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  38662. "op": "Conv2DBackpropInput"
  38663. }
  38664. },
  38665. {
  38666. "ph": "X",
  38667. "cat": "Op",
  38668. "name": "Conv2DBackpropInput",
  38669. "pid": 15,
  38670. "tid": 1,
  38671. "ts": 1539815917073734,
  38672. "dur": 16,
  38673. "args": {
  38674. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  38675. "op": "Conv2DBackpropInput"
  38676. }
  38677. },
  38678. {
  38679. "ph": "X",
  38680. "cat": "Op",
  38681. "name": "Mul",
  38682. "pid": 15,
  38683. "tid": 0,
  38684. "ts": 1539815917074055,
  38685. "dur": 49,
  38686. "args": {
  38687. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout/dropout/mul_grad/Mul",
  38688. "op": "Mul"
  38689. }
  38690. },
  38691. {
  38692. "ph": "X",
  38693. "cat": "Op",
  38694. "name": "Conv2DBackpropInput",
  38695. "pid": 15,
  38696. "tid": 1,
  38697. "ts": 1539815917073755,
  38698. "dur": 250,
  38699. "args": {
  38700. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  38701. "op": "Conv2DBackpropInput"
  38702. }
  38703. },
  38704. {
  38705. "ph": "X",
  38706. "cat": "Op",
  38707. "name": "Conv2DBackpropInput",
  38708. "pid": 15,
  38709. "tid": 1,
  38710. "ts": 1539815917074010,
  38711. "dur": 151,
  38712. "args": {
  38713. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  38714. "op": "Conv2DBackpropInput"
  38715. }
  38716. },
  38717. {
  38718. "ph": "X",
  38719. "cat": "Op",
  38720. "name": "Mul",
  38721. "pid": 15,
  38722. "tid": 0,
  38723. "ts": 1539815917074107,
  38724. "dur": 35,
  38725. "args": {
  38726. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout/dropout/div_grad/RealDiv",
  38727. "op": "Mul"
  38728. }
  38729. },
  38730. {
  38731. "ph": "X",
  38732. "cat": "Op",
  38733. "name": "BiasAddGrad",
  38734. "pid": 15,
  38735. "tid": 4,
  38736. "ts": 1539815917073460,
  38737. "dur": 64,
  38738. "args": {
  38739. "name": "training/TFOptimizer/gradients/conv2d/BiasAdd_grad/BiasAddGrad",
  38740. "op": "BiasAddGrad"
  38741. }
  38742. },
  38743. {
  38744. "ph": "X",
  38745. "cat": "Op",
  38746. "name": "BiasAddGrad",
  38747. "pid": 15,
  38748. "tid": 2,
  38749. "ts": 1539815917073528,
  38750. "dur": 5,
  38751. "args": {
  38752. "name": "training/TFOptimizer/gradients/conv2d/BiasAdd_grad/BiasAddGrad",
  38753. "op": "BiasAddGrad"
  38754. }
  38755. },
  38756. {
  38757. "ph": "X",
  38758. "cat": "Op",
  38759. "name": "Transpose",
  38760. "pid": 15,
  38761. "tid": 0,
  38762. "ts": 1539815917074147,
  38763. "dur": 36,
  38764. "args": {
  38765. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout/dropout/div_grad/RealDiv-0-0-TransposeNCHWToNHWC-LayoutOptimizer",
  38766. "op": "Transpose"
  38767. }
  38768. },
  38769. {
  38770. "ph": "X",
  38771. "cat": "Op",
  38772. "name": "BiasAddGrad",
  38773. "pid": 15,
  38774. "tid": 2,
  38775. "ts": 1539815917073536,
  38776. "dur": 5,
  38777. "args": {
  38778. "name": "training/TFOptimizer/gradients/conv2d/BiasAdd_grad/BiasAddGrad",
  38779. "op": "BiasAddGrad"
  38780. }
  38781. },
  38782. {
  38783. "ph": "X",
  38784. "cat": "Op",
  38785. "name": "FusedBatchNormGrad",
  38786. "pid": 15,
  38787. "tid": 1,
  38788. "ts": 1539815917074164,
  38789. "dur": 4,
  38790. "args": {
  38791. "name": "tower_1/training/TFOptimizer/gradients/tower_1/batch_normalization_1/FusedBatchNorm_grad/FusedBatchNormGrad",
  38792. "op": "FusedBatchNormGrad"
  38793. }
  38794. },
  38795. {
  38796. "ph": "X",
  38797. "cat": "Op",
  38798. "name": "FusedBatchNormGrad",
  38799. "pid": 15,
  38800. "tid": 1,
  38801. "ts": 1539815917074171,
  38802. "dur": 3,
  38803. "args": {
  38804. "name": "tower_1/training/TFOptimizer/gradients/tower_1/batch_normalization_1/FusedBatchNorm_grad/FusedBatchNormGrad",
  38805. "op": "FusedBatchNormGrad"
  38806. }
  38807. },
  38808. {
  38809. "ph": "X",
  38810. "cat": "Op",
  38811. "name": "FusedBatchNormGrad",
  38812. "pid": 15,
  38813. "tid": 1,
  38814. "ts": 1539815917074178,
  38815. "dur": 111,
  38816. "args": {
  38817. "name": "tower_1/training/TFOptimizer/gradients/tower_1/batch_normalization_1/FusedBatchNorm_grad/FusedBatchNormGrad",
  38818. "op": "FusedBatchNormGrad"
  38819. }
  38820. },
  38821. {
  38822. "ph": "X",
  38823. "cat": "Op",
  38824. "name": "Transpose",
  38825. "pid": 15,
  38826. "tid": 0,
  38827. "ts": 1539815917074187,
  38828. "dur": 37,
  38829. "args": {
  38830. "name": "tower_2/training/TFOptimizer/gradients/tower_2/max_pooling2d/MaxPool_grad/MaxPoolGrad-2-TransposeNHWCToNCHW-LayoutOptimizer",
  38831. "op": "Transpose"
  38832. }
  38833. },
  38834. {
  38835. "ph": "X",
  38836. "cat": "Op",
  38837. "name": "Mul",
  38838. "pid": 15,
  38839. "tid": 0,
  38840. "ts": 1539815917074293,
  38841. "dur": 49,
  38842. "args": {
  38843. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout/dropout/mul_grad/Mul",
  38844. "op": "Mul"
  38845. }
  38846. },
  38847. {
  38848. "ph": "X",
  38849. "cat": "Op",
  38850. "name": "MaxPoolGrad",
  38851. "pid": 15,
  38852. "tid": 2,
  38853. "ts": 1539815917074228,
  38854. "dur": 169,
  38855. "args": {
  38856. "name": "tower_2/training/TFOptimizer/gradients/tower_2/max_pooling2d/MaxPool_grad/MaxPoolGrad",
  38857. "op": "MaxPoolGrad"
  38858. }
  38859. },
  38860. {
  38861. "ph": "X",
  38862. "cat": "Op",
  38863. "name": "Conv2DBackpropFilter",
  38864. "pid": 15,
  38865. "tid": 3,
  38866. "ts": 1539815917073612,
  38867. "dur": 439,
  38868. "args": {
  38869. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  38870. "op": "Conv2DBackpropFilter"
  38871. }
  38872. },
  38873. {
  38874. "ph": "X",
  38875. "cat": "Op",
  38876. "name": "Conv2DBackpropFilter",
  38877. "pid": 15,
  38878. "tid": 3,
  38879. "ts": 1539815917074078,
  38880. "dur": 191,
  38881. "args": {
  38882. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  38883. "op": "Conv2DBackpropFilter"
  38884. }
  38885. },
  38886. {
  38887. "ph": "X",
  38888. "cat": "Op",
  38889. "name": "Mul",
  38890. "pid": 15,
  38891. "tid": 0,
  38892. "ts": 1539815917074345,
  38893. "dur": 35,
  38894. "args": {
  38895. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout/dropout/div_grad/RealDiv",
  38896. "op": "Mul"
  38897. }
  38898. },
  38899. {
  38900. "ph": "X",
  38901. "cat": "Op",
  38902. "name": "Conv2DBackpropFilter",
  38903. "pid": 15,
  38904. "tid": 4,
  38905. "ts": 1539815917074054,
  38906. "dur": 19,
  38907. "args": {
  38908. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  38909. "op": "Conv2DBackpropFilter"
  38910. }
  38911. },
  38912. {
  38913. "ph": "X",
  38914. "cat": "Op",
  38915. "name": "Conv2DBackpropFilter",
  38916. "pid": 15,
  38917. "tid": 3,
  38918. "ts": 1539815917074272,
  38919. "dur": 4,
  38920. "args": {
  38921. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  38922. "op": "Conv2DBackpropFilter"
  38923. }
  38924. },
  38925. {
  38926. "ph": "X",
  38927. "cat": "Op",
  38928. "name": "Transpose",
  38929. "pid": 15,
  38930. "tid": 0,
  38931. "ts": 1539815917074385,
  38932. "dur": 35,
  38933. "args": {
  38934. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout/dropout/div_grad/RealDiv-0-0-TransposeNCHWToNHWC-LayoutOptimizer",
  38935. "op": "Transpose"
  38936. }
  38937. },
  38938. {
  38939. "ph": "X",
  38940. "cat": "Op",
  38941. "name": "Conv2DBackpropFilter",
  38942. "pid": 15,
  38943. "tid": 5,
  38944. "ts": 1539815917073665,
  38945. "dur": 222,
  38946. "args": {
  38947. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  38948. "op": "Conv2DBackpropFilter"
  38949. }
  38950. },
  38951. {
  38952. "ph": "X",
  38953. "cat": "Op",
  38954. "name": "EluGrad",
  38955. "pid": 15,
  38956. "tid": 1,
  38957. "ts": 1539815917074402,
  38958. "dur": 199,
  38959. "args": {
  38960. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Elu_grad/EluGrad",
  38961. "op": "EluGrad"
  38962. }
  38963. },
  38964. {
  38965. "ph": "X",
  38966. "cat": "Op",
  38967. "name": "Conv2DBackpropFilter",
  38968. "pid": 15,
  38969. "tid": 3,
  38970. "ts": 1539815917074279,
  38971. "dur": 322,
  38972. "args": {
  38973. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  38974. "op": "Conv2DBackpropFilter"
  38975. }
  38976. },
  38977. {
  38978. "ph": "X",
  38979. "cat": "Op",
  38980. "name": "Conv2DBackpropFilter",
  38981. "pid": 15,
  38982. "tid": 0,
  38983. "ts": 1539815917074606,
  38984. "dur": 17,
  38985. "args": {
  38986. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  38987. "op": "Conv2DBackpropFilter"
  38988. }
  38989. },
  38990. {
  38991. "ph": "X",
  38992. "cat": "Op",
  38993. "name": "BiasAddGrad",
  38994. "pid": 15,
  38995. "tid": 1,
  38996. "ts": 1539815917074612,
  38997. "dur": 100,
  38998. "args": {
  38999. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/BiasAdd_grad/BiasAddGrad",
  39000. "op": "BiasAddGrad"
  39001. }
  39002. },
  39003. {
  39004. "ph": "X",
  39005. "cat": "Op",
  39006. "name": "Transpose",
  39007. "pid": 15,
  39008. "tid": 2,
  39009. "ts": 1539815917074424,
  39010. "dur": 38,
  39011. "args": {
  39012. "name": "tower_1/training/TFOptimizer/gradients/tower_1/max_pooling2d/MaxPool_grad/MaxPoolGrad-2-TransposeNHWCToNCHW-LayoutOptimizer",
  39013. "op": "Transpose"
  39014. }
  39015. },
  39016. {
  39017. "ph": "X",
  39018. "cat": "Op",
  39019. "name": "MaxPoolGrad",
  39020. "pid": 15,
  39021. "tid": 2,
  39022. "ts": 1539815917074466,
  39023. "dur": 174,
  39024. "args": {
  39025. "name": "tower_1/training/TFOptimizer/gradients/tower_1/max_pooling2d/MaxPool_grad/MaxPoolGrad",
  39026. "op": "MaxPoolGrad"
  39027. }
  39028. },
  39029. {
  39030. "ph": "X",
  39031. "cat": "Op",
  39032. "name": "EluGrad",
  39033. "pid": 15,
  39034. "tid": 0,
  39035. "ts": 1539815917074644,
  39036. "dur": 203,
  39037. "args": {
  39038. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Elu_grad/EluGrad",
  39039. "op": "EluGrad"
  39040. }
  39041. },
  39042. {
  39043. "ph": "X",
  39044. "cat": "Op",
  39045. "name": "BiasAddGrad",
  39046. "pid": 15,
  39047. "tid": 0,
  39048. "ts": 1539815917074859,
  39049. "dur": 106,
  39050. "args": {
  39051. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/BiasAdd_grad/BiasAddGrad",
  39052. "op": "BiasAddGrad"
  39053. }
  39054. },
  39055. {
  39056. "ph": "X",
  39057. "cat": "Op",
  39058. "name": "Conv2DBackpropFilter",
  39059. "pid": 15,
  39060. "tid": 5,
  39061. "ts": 1539815917073945,
  39062. "dur": 221,
  39063. "args": {
  39064. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39065. "op": "Conv2DBackpropFilter"
  39066. }
  39067. },
  39068. {
  39069. "ph": "X",
  39070. "cat": "Op",
  39071. "name": "Conv2DBackpropFilter",
  39072. "pid": 15,
  39073. "tid": 4,
  39074. "ts": 1539815917074227,
  39075. "dur": 4,
  39076. "args": {
  39077. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39078. "op": "Conv2DBackpropFilter"
  39079. }
  39080. },
  39081. {
  39082. "ph": "X",
  39083. "cat": "Op",
  39084. "name": "Conv2DBackpropFilter",
  39085. "pid": 15,
  39086. "tid": 4,
  39087. "ts": 1539815917074239,
  39088. "dur": 3,
  39089. "args": {
  39090. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39091. "op": "Conv2DBackpropFilter"
  39092. }
  39093. },
  39094. {
  39095. "ph": "X",
  39096. "cat": "Op",
  39097. "name": "Conv2DBackpropFilter",
  39098. "pid": 15,
  39099. "tid": 4,
  39100. "ts": 1539815917074249,
  39101. "dur": 4,
  39102. "args": {
  39103. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39104. "op": "Conv2DBackpropFilter"
  39105. }
  39106. },
  39107. {
  39108. "ph": "X",
  39109. "cat": "Op",
  39110. "name": "Conv2DBackpropFilter",
  39111. "pid": 15,
  39112. "tid": 4,
  39113. "ts": 1539815917074259,
  39114. "dur": 941,
  39115. "args": {
  39116. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39117. "op": "Conv2DBackpropFilter"
  39118. }
  39119. },
  39120. {
  39121. "ph": "X",
  39122. "cat": "Op",
  39123. "name": "Conv2DBackpropFilter",
  39124. "pid": 15,
  39125. "tid": 2,
  39126. "ts": 1539815917074672,
  39127. "dur": 439,
  39128. "args": {
  39129. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39130. "op": "Conv2DBackpropFilter"
  39131. }
  39132. },
  39133. {
  39134. "ph": "X",
  39135. "cat": "Op",
  39136. "name": "Conv2DBackpropFilter",
  39137. "pid": 15,
  39138. "tid": 0,
  39139. "ts": 1539815917075137,
  39140. "dur": 193,
  39141. "args": {
  39142. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39143. "op": "Conv2DBackpropFilter"
  39144. }
  39145. },
  39146. {
  39147. "ph": "X",
  39148. "cat": "Op",
  39149. "name": "Conv2DBackpropFilter",
  39150. "pid": 15,
  39151. "tid": 1,
  39152. "ts": 1539815917075114,
  39153. "dur": 19,
  39154. "args": {
  39155. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39156. "op": "Conv2DBackpropFilter"
  39157. }
  39158. },
  39159. {
  39160. "ph": "X",
  39161. "cat": "Op",
  39162. "name": "Conv2DBackpropFilter",
  39163. "pid": 15,
  39164. "tid": 0,
  39165. "ts": 1539815917075335,
  39166. "dur": 4,
  39167. "args": {
  39168. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39169. "op": "Conv2DBackpropFilter"
  39170. }
  39171. },
  39172. {
  39173. "ph": "X",
  39174. "cat": "Op",
  39175. "name": "Conv2DBackpropFilter",
  39176. "pid": 15,
  39177. "tid": 0,
  39178. "ts": 1539815917075342,
  39179. "dur": 322,
  39180. "args": {
  39181. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39182. "op": "Conv2DBackpropFilter"
  39183. }
  39184. },
  39185. {
  39186. "ph": "X",
  39187. "cat": "Op",
  39188. "name": "BiasAddGrad",
  39189. "pid": 15,
  39190. "tid": 3,
  39191. "ts": 1539815917074753,
  39192. "dur": 63,
  39193. "args": {
  39194. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/BiasAdd_grad/BiasAddGrad",
  39195. "op": "BiasAddGrad"
  39196. }
  39197. },
  39198. {
  39199. "ph": "X",
  39200. "cat": "Op",
  39201. "name": "Conv2DBackpropFilter",
  39202. "pid": 15,
  39203. "tid": 0,
  39204. "ts": 1539815917075669,
  39205. "dur": 17,
  39206. "args": {
  39207. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39208. "op": "Conv2DBackpropFilter"
  39209. }
  39210. },
  39211. {
  39212. "ph": "X",
  39213. "cat": "Op",
  39214. "name": "BiasAddGrad",
  39215. "pid": 15,
  39216. "tid": 3,
  39217. "ts": 1539815917074820,
  39218. "dur": 4,
  39219. "args": {
  39220. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/BiasAdd_grad/BiasAddGrad",
  39221. "op": "BiasAddGrad"
  39222. }
  39223. },
  39224. {
  39225. "ph": "X",
  39226. "cat": "Op",
  39227. "name": "BiasAddGrad",
  39228. "pid": 15,
  39229. "tid": 3,
  39230. "ts": 1539815917074827,
  39231. "dur": 5,
  39232. "args": {
  39233. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/BiasAdd_grad/BiasAddGrad",
  39234. "op": "BiasAddGrad"
  39235. }
  39236. },
  39237. {
  39238. "ph": "X",
  39239. "cat": "Op",
  39240. "name": "Conv2DBackpropFilter",
  39241. "pid": 15,
  39242. "tid": 3,
  39243. "ts": 1539815917074947,
  39244. "dur": 222,
  39245. "args": {
  39246. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39247. "op": "Conv2DBackpropFilter"
  39248. }
  39249. },
  39250. {
  39251. "ph": "X",
  39252. "cat": "Op",
  39253. "name": "BiasAddGrad",
  39254. "pid": 15,
  39255. "tid": 5,
  39256. "ts": 1539815917075000,
  39257. "dur": 64,
  39258. "args": {
  39259. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/BiasAdd_grad/BiasAddGrad",
  39260. "op": "BiasAddGrad"
  39261. }
  39262. },
  39263. {
  39264. "ph": "X",
  39265. "cat": "Op",
  39266. "name": "BiasAddGrad",
  39267. "pid": 15,
  39268. "tid": 5,
  39269. "ts": 1539815917075067,
  39270. "dur": 5,
  39271. "args": {
  39272. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/BiasAdd_grad/BiasAddGrad",
  39273. "op": "BiasAddGrad"
  39274. }
  39275. },
  39276. {
  39277. "ph": "X",
  39278. "cat": "Op",
  39279. "name": "BiasAddGrad",
  39280. "pid": 15,
  39281. "tid": 5,
  39282. "ts": 1539815917075076,
  39283. "dur": 5,
  39284. "args": {
  39285. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/BiasAdd_grad/BiasAddGrad",
  39286. "op": "BiasAddGrad"
  39287. }
  39288. },
  39289. {
  39290. "ph": "X",
  39291. "cat": "Op",
  39292. "name": "Conv2DBackpropFilter",
  39293. "pid": 15,
  39294. "tid": 1,
  39295. "ts": 1539815917075198,
  39296. "dur": 243,
  39297. "args": {
  39298. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39299. "op": "Conv2DBackpropFilter"
  39300. }
  39301. },
  39302. {
  39303. "ph": "X",
  39304. "cat": "Op",
  39305. "name": "Conv2DBackpropFilter",
  39306. "pid": 15,
  39307. "tid": 2,
  39308. "ts": 1539815917075225,
  39309. "dur": 221,
  39310. "args": {
  39311. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39312. "op": "Conv2DBackpropFilter"
  39313. }
  39314. },
  39315. {
  39316. "ph": "X",
  39317. "cat": "Op",
  39318. "name": "Conv2DBackpropFilter",
  39319. "pid": 15,
  39320. "tid": 3,
  39321. "ts": 1539815917075264,
  39322. "dur": 4,
  39323. "args": {
  39324. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39325. "op": "Conv2DBackpropFilter"
  39326. }
  39327. },
  39328. {
  39329. "ph": "X",
  39330. "cat": "Op",
  39331. "name": "Conv2DBackpropFilter",
  39332. "pid": 15,
  39333. "tid": 3,
  39334. "ts": 1539815917075275,
  39335. "dur": 3,
  39336. "args": {
  39337. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39338. "op": "Conv2DBackpropFilter"
  39339. }
  39340. },
  39341. {
  39342. "ph": "X",
  39343. "cat": "Op",
  39344. "name": "Conv2DBackpropFilter",
  39345. "pid": 15,
  39346. "tid": 3,
  39347. "ts": 1539815917075285,
  39348. "dur": 3,
  39349. "args": {
  39350. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39351. "op": "Conv2DBackpropFilter"
  39352. }
  39353. },
  39354. {
  39355. "ph": "X",
  39356. "cat": "Op",
  39357. "name": "Conv2DBackpropFilter",
  39358. "pid": 15,
  39359. "tid": 3,
  39360. "ts": 1539815917075295,
  39361. "dur": 940,
  39362. "args": {
  39363. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39364. "op": "Conv2DBackpropFilter"
  39365. }
  39366. },
  39367. {
  39368. "ph": "X",
  39369. "cat": "Op",
  39370. "name": "Conv2DBackpropFilter",
  39371. "pid": 15,
  39372. "tid": 1,
  39373. "ts": 1539815917075499,
  39374. "dur": 243,
  39375. "args": {
  39376. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39377. "op": "Conv2DBackpropFilter"
  39378. }
  39379. },
  39380. {
  39381. "ph": "X",
  39382. "cat": "Op",
  39383. "name": "Conv2DBackpropFilter",
  39384. "pid": 15,
  39385. "tid": 2,
  39386. "ts": 1539815917075514,
  39387. "dur": 4,
  39388. "args": {
  39389. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39390. "op": "Conv2DBackpropFilter"
  39391. }
  39392. },
  39393. {
  39394. "ph": "X",
  39395. "cat": "Op",
  39396. "name": "Conv2DBackpropFilter",
  39397. "pid": 15,
  39398. "tid": 2,
  39399. "ts": 1539815917075525,
  39400. "dur": 3,
  39401. "args": {
  39402. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39403. "op": "Conv2DBackpropFilter"
  39404. }
  39405. },
  39406. {
  39407. "ph": "X",
  39408. "cat": "Op",
  39409. "name": "Conv2DBackpropFilter",
  39410. "pid": 15,
  39411. "tid": 2,
  39412. "ts": 1539815917075536,
  39413. "dur": 3,
  39414. "args": {
  39415. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39416. "op": "Conv2DBackpropFilter"
  39417. }
  39418. },
  39419. {
  39420. "ph": "X",
  39421. "cat": "Op",
  39422. "name": "Conv2DBackpropFilter",
  39423. "pid": 15,
  39424. "tid": 2,
  39425. "ts": 1539815917075547,
  39426. "dur": 940,
  39427. "args": {
  39428. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39429. "op": "Conv2DBackpropFilter"
  39430. }
  39431. },
  39432. {
  39433. "ph": "X",
  39434. "cat": "Op",
  39435. "name": "Conv2DBackpropFilter",
  39436. "pid": 15,
  39437. "tid": 0,
  39438. "ts": 1539815917075754,
  39439. "dur": 3,
  39440. "args": {
  39441. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39442. "op": "Conv2DBackpropFilter"
  39443. }
  39444. },
  39445. {
  39446. "ph": "X",
  39447. "cat": "Op",
  39448. "name": "Conv2DBackpropFilter",
  39449. "pid": 15,
  39450. "tid": 0,
  39451. "ts": 1539815917075764,
  39452. "dur": 3,
  39453. "args": {
  39454. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39455. "op": "Conv2DBackpropFilter"
  39456. }
  39457. },
  39458. {
  39459. "ph": "X",
  39460. "cat": "Op",
  39461. "name": "Conv2DBackpropFilter",
  39462. "pid": 15,
  39463. "tid": 0,
  39464. "ts": 1539815917075774,
  39465. "dur": 3,
  39466. "args": {
  39467. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39468. "op": "Conv2DBackpropFilter"
  39469. }
  39470. },
  39471. {
  39472. "ph": "X",
  39473. "cat": "Op",
  39474. "name": "Conv2DBackpropFilter",
  39475. "pid": 15,
  39476. "tid": 0,
  39477. "ts": 1539815917075784,
  39478. "dur": 908,
  39479. "args": {
  39480. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39481. "op": "Conv2DBackpropFilter"
  39482. }
  39483. },
  39484. {
  39485. "ph": "X",
  39486. "cat": "Op",
  39487. "name": "Conv2DBackpropFilter",
  39488. "pid": 15,
  39489. "tid": 1,
  39490. "ts": 1539815917075804,
  39491. "dur": 4,
  39492. "args": {
  39493. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39494. "op": "Conv2DBackpropFilter"
  39495. }
  39496. },
  39497. {
  39498. "ph": "X",
  39499. "cat": "Op",
  39500. "name": "Conv2DBackpropFilter",
  39501. "pid": 15,
  39502. "tid": 1,
  39503. "ts": 1539815917075821,
  39504. "dur": 3,
  39505. "args": {
  39506. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39507. "op": "Conv2DBackpropFilter"
  39508. }
  39509. },
  39510. {
  39511. "ph": "X",
  39512. "cat": "Op",
  39513. "name": "Conv2DBackpropFilter",
  39514. "pid": 15,
  39515. "tid": 1,
  39516. "ts": 1539815917075832,
  39517. "dur": 4,
  39518. "args": {
  39519. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39520. "op": "Conv2DBackpropFilter"
  39521. }
  39522. },
  39523. {
  39524. "ph": "X",
  39525. "cat": "Op",
  39526. "name": "Conv2DBackpropFilter",
  39527. "pid": 15,
  39528. "tid": 1,
  39529. "ts": 1539815917075844,
  39530. "dur": 1028,
  39531. "args": {
  39532. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39533. "op": "Conv2DBackpropFilter"
  39534. }
  39535. },
  39536. {
  39537. "ph": "X",
  39538. "cat": "Op",
  39539. "name": "Conv2DBackpropFilter",
  39540. "pid": 15,
  39541. "tid": 3,
  39542. "ts": 1539815917076285,
  39543. "dur": 456,
  39544. "args": {
  39545. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39546. "op": "Conv2DBackpropFilter"
  39547. }
  39548. },
  39549. {
  39550. "ph": "X",
  39551. "cat": "Op",
  39552. "name": "Conv2DBackpropFilter",
  39553. "pid": 15,
  39554. "tid": 0,
  39555. "ts": 1539815917076769,
  39556. "dur": 191,
  39557. "args": {
  39558. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39559. "op": "Conv2DBackpropFilter"
  39560. }
  39561. },
  39562. {
  39563. "ph": "X",
  39564. "cat": "Op",
  39565. "name": "Conv2DBackpropFilter",
  39566. "pid": 15,
  39567. "tid": 2,
  39568. "ts": 1539815917076745,
  39569. "dur": 20,
  39570. "args": {
  39571. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39572. "op": "Conv2DBackpropFilter"
  39573. }
  39574. },
  39575. {
  39576. "ph": "X",
  39577. "cat": "Op",
  39578. "name": "Conv2DBackpropFilter",
  39579. "pid": 15,
  39580. "tid": 0,
  39581. "ts": 1539815917076964,
  39582. "dur": 4,
  39583. "args": {
  39584. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39585. "op": "Conv2DBackpropFilter"
  39586. }
  39587. },
  39588. {
  39589. "ph": "X",
  39590. "cat": "Op",
  39591. "name": "Conv2DBackpropFilter",
  39592. "pid": 15,
  39593. "tid": 0,
  39594. "ts": 1539815917076972,
  39595. "dur": 334,
  39596. "args": {
  39597. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39598. "op": "Conv2DBackpropFilter"
  39599. }
  39600. },
  39601. {
  39602. "ph": "X",
  39603. "cat": "Op",
  39604. "name": "Conv2DBackpropFilter",
  39605. "pid": 15,
  39606. "tid": 0,
  39607. "ts": 1539815917077310,
  39608. "dur": 18,
  39609. "args": {
  39610. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39611. "op": "Conv2DBackpropFilter"
  39612. }
  39613. },
  39614. {
  39615. "ph": "X",
  39616. "cat": "Op",
  39617. "name": "Conv2DBackpropFilter",
  39618. "pid": 15,
  39619. "tid": 4,
  39620. "ts": 1539815917076549,
  39621. "dur": 3,
  39622. "args": {
  39623. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39624. "op": "Conv2DBackpropFilter"
  39625. }
  39626. },
  39627. {
  39628. "ph": "X",
  39629. "cat": "Op",
  39630. "name": "Conv2DBackpropFilter",
  39631. "pid": 15,
  39632. "tid": 4,
  39633. "ts": 1539815917076561,
  39634. "dur": 3,
  39635. "args": {
  39636. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39637. "op": "Conv2DBackpropFilter"
  39638. }
  39639. },
  39640. {
  39641. "ph": "X",
  39642. "cat": "Op",
  39643. "name": "Conv2DBackpropFilter",
  39644. "pid": 15,
  39645. "tid": 4,
  39646. "ts": 1539815917076570,
  39647. "dur": 3,
  39648. "args": {
  39649. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39650. "op": "Conv2DBackpropFilter"
  39651. }
  39652. },
  39653. {
  39654. "ph": "X",
  39655. "cat": "Op",
  39656. "name": "Conv2DBackpropFilter",
  39657. "pid": 15,
  39658. "tid": 4,
  39659. "ts": 1539815917076579,
  39660. "dur": 941,
  39661. "args": {
  39662. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39663. "op": "Conv2DBackpropFilter"
  39664. }
  39665. },
  39666. {
  39667. "ph": "X",
  39668. "cat": "Op",
  39669. "name": "Conv2DBackpropFilter",
  39670. "pid": 15,
  39671. "tid": 3,
  39672. "ts": 1539815917076751,
  39673. "dur": 3,
  39674. "args": {
  39675. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39676. "op": "Conv2DBackpropFilter"
  39677. }
  39678. },
  39679. {
  39680. "ph": "X",
  39681. "cat": "Op",
  39682. "name": "Conv2DBackpropFilter",
  39683. "pid": 15,
  39684. "tid": 3,
  39685. "ts": 1539815917076761,
  39686. "dur": 3,
  39687. "args": {
  39688. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39689. "op": "Conv2DBackpropFilter"
  39690. }
  39691. },
  39692. {
  39693. "ph": "X",
  39694. "cat": "Op",
  39695. "name": "Conv2DBackpropFilter",
  39696. "pid": 15,
  39697. "tid": 2,
  39698. "ts": 1539815917076771,
  39699. "dur": 3,
  39700. "args": {
  39701. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39702. "op": "Conv2DBackpropFilter"
  39703. }
  39704. },
  39705. {
  39706. "ph": "X",
  39707. "cat": "Op",
  39708. "name": "Conv2DBackpropFilter",
  39709. "pid": 15,
  39710. "tid": 2,
  39711. "ts": 1539815917076780,
  39712. "dur": 906,
  39713. "args": {
  39714. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39715. "op": "Conv2DBackpropFilter"
  39716. }
  39717. },
  39718. {
  39719. "ph": "X",
  39720. "cat": "Op",
  39721. "name": "Conv2DBackpropFilter",
  39722. "pid": 15,
  39723. "tid": 1,
  39724. "ts": 1539815917076933,
  39725. "dur": 4,
  39726. "args": {
  39727. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39728. "op": "Conv2DBackpropFilter"
  39729. }
  39730. },
  39731. {
  39732. "ph": "X",
  39733. "cat": "Op",
  39734. "name": "Conv2DBackpropFilter",
  39735. "pid": 15,
  39736. "tid": 1,
  39737. "ts": 1539815917076944,
  39738. "dur": 3,
  39739. "args": {
  39740. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39741. "op": "Conv2DBackpropFilter"
  39742. }
  39743. },
  39744. {
  39745. "ph": "X",
  39746. "cat": "Op",
  39747. "name": "Conv2DBackpropFilter",
  39748. "pid": 15,
  39749. "tid": 1,
  39750. "ts": 1539815917076954,
  39751. "dur": 3,
  39752. "args": {
  39753. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39754. "op": "Conv2DBackpropFilter"
  39755. }
  39756. },
  39757. {
  39758. "ph": "X",
  39759. "cat": "Op",
  39760. "name": "Conv2DBackpropFilter",
  39761. "pid": 15,
  39762. "tid": 1,
  39763. "ts": 1539815917076965,
  39764. "dur": 1027,
  39765. "args": {
  39766. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39767. "op": "Conv2DBackpropFilter"
  39768. }
  39769. },
  39770. {
  39771. "ph": "X",
  39772. "cat": "Op",
  39773. "name": "Conv2DBackpropFilter",
  39774. "pid": 15,
  39775. "tid": 0,
  39776. "ts": 1539815917077375,
  39777. "dur": 456,
  39778. "args": {
  39779. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39780. "op": "Conv2DBackpropFilter"
  39781. }
  39782. },
  39783. {
  39784. "ph": "X",
  39785. "cat": "Op",
  39786. "name": "Conv2DBackpropFilter",
  39787. "pid": 15,
  39788. "tid": 0,
  39789. "ts": 1539815917077859,
  39790. "dur": 193,
  39791. "args": {
  39792. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39793. "op": "Conv2DBackpropFilter"
  39794. }
  39795. },
  39796. {
  39797. "ph": "X",
  39798. "cat": "Op",
  39799. "name": "Conv2DBackpropFilter",
  39800. "pid": 15,
  39801. "tid": 2,
  39802. "ts": 1539815917077835,
  39803. "dur": 20,
  39804. "args": {
  39805. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39806. "op": "Conv2DBackpropFilter"
  39807. }
  39808. },
  39809. {
  39810. "ph": "X",
  39811. "cat": "Op",
  39812. "name": "Conv2DBackpropFilter",
  39813. "pid": 15,
  39814. "tid": 0,
  39815. "ts": 1539815917078057,
  39816. "dur": 4,
  39817. "args": {
  39818. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39819. "op": "Conv2DBackpropFilter"
  39820. }
  39821. },
  39822. {
  39823. "ph": "X",
  39824. "cat": "Op",
  39825. "name": "Conv2DBackpropFilter",
  39826. "pid": 15,
  39827. "tid": 0,
  39828. "ts": 1539815917078064,
  39829. "dur": 335,
  39830. "args": {
  39831. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39832. "op": "Conv2DBackpropFilter"
  39833. }
  39834. },
  39835. {
  39836. "ph": "X",
  39837. "cat": "Op",
  39838. "name": "Conv2DBackpropFilter",
  39839. "pid": 15,
  39840. "tid": 0,
  39841. "ts": 1539815917078404,
  39842. "dur": 18,
  39843. "args": {
  39844. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39845. "op": "Conv2DBackpropFilter"
  39846. }
  39847. },
  39848. {
  39849. "ph": "X",
  39850. "cat": "Op",
  39851. "name": "Conv2DBackpropFilter",
  39852. "pid": 15,
  39853. "tid": 3,
  39854. "ts": 1539815917077567,
  39855. "dur": 455,
  39856. "args": {
  39857. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39858. "op": "Conv2DBackpropFilter"
  39859. }
  39860. },
  39861. {
  39862. "ph": "X",
  39863. "cat": "Op",
  39864. "name": "Conv2DBackpropFilter",
  39865. "pid": 15,
  39866. "tid": 1,
  39867. "ts": 1539815917078050,
  39868. "dur": 192,
  39869. "args": {
  39870. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39871. "op": "Conv2DBackpropFilter"
  39872. }
  39873. },
  39874. {
  39875. "ph": "X",
  39876. "cat": "Op",
  39877. "name": "Conv2DBackpropFilter",
  39878. "pid": 15,
  39879. "tid": 2,
  39880. "ts": 1539815917078026,
  39881. "dur": 19,
  39882. "args": {
  39883. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39884. "op": "Conv2DBackpropFilter"
  39885. }
  39886. },
  39887. {
  39888. "ph": "X",
  39889. "cat": "Op",
  39890. "name": "Conv2DBackpropFilter",
  39891. "pid": 15,
  39892. "tid": 1,
  39893. "ts": 1539815917078246,
  39894. "dur": 4,
  39895. "args": {
  39896. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39897. "op": "Conv2DBackpropFilter"
  39898. }
  39899. },
  39900. {
  39901. "ph": "X",
  39902. "cat": "Op",
  39903. "name": "Conv2DBackpropFilter",
  39904. "pid": 15,
  39905. "tid": 1,
  39906. "ts": 1539815917078253,
  39907. "dur": 358,
  39908. "args": {
  39909. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39910. "op": "Conv2DBackpropFilter"
  39911. }
  39912. },
  39913. {
  39914. "ph": "X",
  39915. "cat": "Op",
  39916. "name": "Conv2DBackpropFilter",
  39917. "pid": 15,
  39918. "tid": 0,
  39919. "ts": 1539815917078615,
  39920. "dur": 17,
  39921. "args": {
  39922. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39923. "op": "Conv2DBackpropFilter"
  39924. }
  39925. },
  39926. {
  39927. "ph": "X",
  39928. "cat": "Op",
  39929. "name": "Conv2DBackpropFilter",
  39930. "pid": 15,
  39931. "tid": 4,
  39932. "ts": 1539815917077732,
  39933. "dur": 24,
  39934. "args": {
  39935. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39936. "op": "Conv2DBackpropFilter"
  39937. }
  39938. },
  39939. {
  39940. "ph": "X",
  39941. "cat": "Op",
  39942. "name": "Conv2DBackpropFilter",
  39943. "pid": 15,
  39944. "tid": 4,
  39945. "ts": 1539815917077760,
  39946. "dur": 334,
  39947. "args": {
  39948. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39949. "op": "Conv2DBackpropFilter"
  39950. }
  39951. },
  39952. {
  39953. "ph": "X",
  39954. "cat": "Op",
  39955. "name": "Conv2DBackpropFilter",
  39956. "pid": 15,
  39957. "tid": 2,
  39958. "ts": 1539815917078098,
  39959. "dur": 1061,
  39960. "args": {
  39961. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39962. "op": "Conv2DBackpropFilter"
  39963. }
  39964. },
  39965. {
  39966. "ph": "X",
  39967. "cat": "Op",
  39968. "name": "Conv2DBackpropFilter",
  39969. "pid": 15,
  39970. "tid": 0,
  39971. "ts": 1539815917079163,
  39972. "dur": 7,
  39973. "args": {
  39974. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39975. "op": "Conv2DBackpropFilter"
  39976. }
  39977. },
  39978. {
  39979. "ph": "X",
  39980. "cat": "Op",
  39981. "name": "Conv2DBackpropFilter",
  39982. "pid": 15,
  39983. "tid": 3,
  39984. "ts": 1539815917078040,
  39985. "dur": 502,
  39986. "args": {
  39987. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  39988. "op": "Conv2DBackpropFilter"
  39989. }
  39990. },
  39991. {
  39992. "ph": "X",
  39993. "cat": "Op",
  39994. "name": "Conv2DBackpropFilter",
  39995. "pid": 15,
  39996. "tid": 3,
  39997. "ts": 1539815917078572,
  39998. "dur": 194,
  39999. "args": {
  40000. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40001. "op": "Conv2DBackpropFilter"
  40002. }
  40003. },
  40004. {
  40005. "ph": "X",
  40006. "cat": "Op",
  40007. "name": "Conv2DBackpropFilter",
  40008. "pid": 15,
  40009. "tid": 4,
  40010. "ts": 1539815917078546,
  40011. "dur": 21,
  40012. "args": {
  40013. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40014. "op": "Conv2DBackpropFilter"
  40015. }
  40016. },
  40017. {
  40018. "ph": "X",
  40019. "cat": "Op",
  40020. "name": "Conv2DBackpropFilter",
  40021. "pid": 15,
  40022. "tid": 1,
  40023. "ts": 1539815917078771,
  40024. "dur": 4,
  40025. "args": {
  40026. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40027. "op": "Conv2DBackpropFilter"
  40028. }
  40029. },
  40030. {
  40031. "ph": "X",
  40032. "cat": "Op",
  40033. "name": "Conv2DBackpropFilter",
  40034. "pid": 15,
  40035. "tid": 1,
  40036. "ts": 1539815917078778,
  40037. "dur": 369,
  40038. "args": {
  40039. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40040. "op": "Conv2DBackpropFilter"
  40041. }
  40042. },
  40043. {
  40044. "ph": "X",
  40045. "cat": "Op",
  40046. "name": "Conv2DBackpropFilter",
  40047. "pid": 15,
  40048. "tid": 1,
  40049. "ts": 1539815917079151,
  40050. "dur": 19,
  40051. "args": {
  40052. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40053. "op": "Conv2DBackpropFilter"
  40054. }
  40055. },
  40056. {
  40057. "ph": "X",
  40058. "cat": "Op",
  40059. "name": "Conv2DBackpropFilter",
  40060. "pid": 15,
  40061. "tid": 5,
  40062. "ts": 1539815917078483,
  40063. "dur": 4,
  40064. "args": {
  40065. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40066. "op": "Conv2DBackpropFilter"
  40067. }
  40068. },
  40069. {
  40070. "ph": "X",
  40071. "cat": "Op",
  40072. "name": "Conv2DBackpropFilter",
  40073. "pid": 15,
  40074. "tid": 5,
  40075. "ts": 1539815917078493,
  40076. "dur": 3,
  40077. "args": {
  40078. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40079. "op": "Conv2DBackpropFilter"
  40080. }
  40081. },
  40082. {
  40083. "ph": "X",
  40084. "cat": "Op",
  40085. "name": "Conv2DBackpropFilter",
  40086. "pid": 15,
  40087. "tid": 5,
  40088. "ts": 1539815917078503,
  40089. "dur": 4,
  40090. "args": {
  40091. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40092. "op": "Conv2DBackpropFilter"
  40093. }
  40094. },
  40095. {
  40096. "ph": "X",
  40097. "cat": "Op",
  40098. "name": "Conv2DBackpropFilter",
  40099. "pid": 15,
  40100. "tid": 5,
  40101. "ts": 1539815917078515,
  40102. "dur": 940,
  40103. "args": {
  40104. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40105. "op": "Conv2DBackpropFilter"
  40106. }
  40107. },
  40108. {
  40109. "ph": "X",
  40110. "cat": "Op",
  40111. "name": "Conv2DBackpropFilter",
  40112. "pid": 15,
  40113. "tid": 4,
  40114. "ts": 1539815917078679,
  40115. "dur": 455,
  40116. "args": {
  40117. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40118. "op": "Conv2DBackpropFilter"
  40119. }
  40120. },
  40121. {
  40122. "ph": "X",
  40123. "cat": "Op",
  40124. "name": "Conv2DBackpropFilter",
  40125. "pid": 15,
  40126. "tid": 2,
  40127. "ts": 1539815917079161,
  40128. "dur": 193,
  40129. "args": {
  40130. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40131. "op": "Conv2DBackpropFilter"
  40132. }
  40133. },
  40134. {
  40135. "ph": "X",
  40136. "cat": "Op",
  40137. "name": "Conv2DBackpropFilter",
  40138. "pid": 15,
  40139. "tid": 3,
  40140. "ts": 1539815917079138,
  40141. "dur": 19,
  40142. "args": {
  40143. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40144. "op": "Conv2DBackpropFilter"
  40145. }
  40146. },
  40147. {
  40148. "ph": "X",
  40149. "cat": "Op",
  40150. "name": "Conv2DBackpropFilter",
  40151. "pid": 15,
  40152. "tid": 0,
  40153. "ts": 1539815917079357,
  40154. "dur": 4,
  40155. "args": {
  40156. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40157. "op": "Conv2DBackpropFilter"
  40158. }
  40159. },
  40160. {
  40161. "ph": "X",
  40162. "cat": "Op",
  40163. "name": "Conv2DBackpropFilter",
  40164. "pid": 15,
  40165. "tid": 0,
  40166. "ts": 1539815917079364,
  40167. "dur": 358,
  40168. "args": {
  40169. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40170. "op": "Conv2DBackpropFilter"
  40171. }
  40172. },
  40173. {
  40174. "ph": "X",
  40175. "cat": "Op",
  40176. "name": "Conv2DBackpropFilter",
  40177. "pid": 15,
  40178. "tid": 0,
  40179. "ts": 1539815917079727,
  40180. "dur": 18,
  40181. "args": {
  40182. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40183. "op": "Conv2DBackpropFilter"
  40184. }
  40185. },
  40186. {
  40187. "ph": "X",
  40188. "cat": "Op",
  40189. "name": "Conv2DBackpropFilter",
  40190. "pid": 15,
  40191. "tid": 1,
  40192. "ts": 1539815917079223,
  40193. "dur": 501,
  40194. "args": {
  40195. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40196. "op": "Conv2DBackpropFilter"
  40197. }
  40198. },
  40199. {
  40200. "ph": "X",
  40201. "cat": "Op",
  40202. "name": "Conv2DBackpropFilter",
  40203. "pid": 15,
  40204. "tid": 3,
  40205. "ts": 1539815917079225,
  40206. "dur": 24,
  40207. "args": {
  40208. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40209. "op": "Conv2DBackpropFilter"
  40210. }
  40211. },
  40212. {
  40213. "ph": "X",
  40214. "cat": "Op",
  40215. "name": "Conv2DBackpropFilter",
  40216. "pid": 15,
  40217. "tid": 0,
  40218. "ts": 1539815917079753,
  40219. "dur": 194,
  40220. "args": {
  40221. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40222. "op": "Conv2DBackpropFilter"
  40223. }
  40224. },
  40225. {
  40226. "ph": "X",
  40227. "cat": "Op",
  40228. "name": "Conv2DBackpropFilter",
  40229. "pid": 15,
  40230. "tid": 3,
  40231. "ts": 1539815917079254,
  40232. "dur": 335,
  40233. "args": {
  40234. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40235. "op": "Conv2DBackpropFilter"
  40236. }
  40237. },
  40238. {
  40239. "ph": "X",
  40240. "cat": "Op",
  40241. "name": "Conv2DBackpropFilter",
  40242. "pid": 15,
  40243. "tid": 1,
  40244. "ts": 1539815917079729,
  40245. "dur": 20,
  40246. "args": {
  40247. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40248. "op": "Conv2DBackpropFilter"
  40249. }
  40250. },
  40251. {
  40252. "ph": "X",
  40253. "cat": "Op",
  40254. "name": "Conv2DBackpropFilter",
  40255. "pid": 15,
  40256. "tid": 2,
  40257. "ts": 1539815917079593,
  40258. "dur": 1061,
  40259. "args": {
  40260. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40261. "op": "Conv2DBackpropFilter"
  40262. }
  40263. },
  40264. {
  40265. "ph": "X",
  40266. "cat": "Op",
  40267. "name": "Conv2DBackpropFilter",
  40268. "pid": 15,
  40269. "tid": 0,
  40270. "ts": 1539815917080658,
  40271. "dur": 6,
  40272. "args": {
  40273. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40274. "op": "Conv2DBackpropFilter"
  40275. }
  40276. },
  40277. {
  40278. "ph": "X",
  40279. "cat": "Op",
  40280. "name": "Conv2DBackpropFilter",
  40281. "pid": 15,
  40282. "tid": 1,
  40283. "ts": 1539815917079952,
  40284. "dur": 4,
  40285. "args": {
  40286. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40287. "op": "Conv2DBackpropFilter"
  40288. }
  40289. },
  40290. {
  40291. "ph": "X",
  40292. "cat": "Op",
  40293. "name": "Conv2DBackpropFilter",
  40294. "pid": 15,
  40295. "tid": 1,
  40296. "ts": 1539815917079960,
  40297. "dur": 394,
  40298. "args": {
  40299. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40300. "op": "Conv2DBackpropFilter"
  40301. }
  40302. },
  40303. {
  40304. "ph": "X",
  40305. "cat": "Op",
  40306. "name": "Conv2DBackpropFilter",
  40307. "pid": 15,
  40308. "tid": 1,
  40309. "ts": 1539815917080358,
  40310. "dur": 18,
  40311. "args": {
  40312. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40313. "op": "Conv2DBackpropFilter"
  40314. }
  40315. },
  40316. {
  40317. "ph": "X",
  40318. "cat": "Op",
  40319. "name": "Conv2DBackpropFilter",
  40320. "pid": 15,
  40321. "tid": 4,
  40322. "ts": 1539815917079517,
  40323. "dur": 4,
  40324. "args": {
  40325. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40326. "op": "Conv2DBackpropFilter"
  40327. }
  40328. },
  40329. {
  40330. "ph": "X",
  40331. "cat": "Op",
  40332. "name": "Conv2DBackpropFilter",
  40333. "pid": 15,
  40334. "tid": 4,
  40335. "ts": 1539815917079528,
  40336. "dur": 3,
  40337. "args": {
  40338. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40339. "op": "Conv2DBackpropFilter"
  40340. }
  40341. },
  40342. {
  40343. "ph": "X",
  40344. "cat": "Op",
  40345. "name": "Conv2DBackpropFilter",
  40346. "pid": 15,
  40347. "tid": 4,
  40348. "ts": 1539815917079538,
  40349. "dur": 3,
  40350. "args": {
  40351. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40352. "op": "Conv2DBackpropFilter"
  40353. }
  40354. },
  40355. {
  40356. "ph": "X",
  40357. "cat": "Op",
  40358. "name": "Conv2DBackpropFilter",
  40359. "pid": 15,
  40360. "tid": 4,
  40361. "ts": 1539815917079548,
  40362. "dur": 940,
  40363. "args": {
  40364. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40365. "op": "Conv2DBackpropFilter"
  40366. }
  40367. },
  40368. {
  40369. "ph": "X",
  40370. "cat": "Op",
  40371. "name": "Conv2DBackpropFilter",
  40372. "pid": 15,
  40373. "tid": 3,
  40374. "ts": 1539815917079810,
  40375. "dur": 4,
  40376. "args": {
  40377. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40378. "op": "Conv2DBackpropFilter"
  40379. }
  40380. },
  40381. {
  40382. "ph": "X",
  40383. "cat": "Op",
  40384. "name": "Conv2DBackpropFilter",
  40385. "pid": 15,
  40386. "tid": 3,
  40387. "ts": 1539815917079822,
  40388. "dur": 3,
  40389. "args": {
  40390. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40391. "op": "Conv2DBackpropFilter"
  40392. }
  40393. },
  40394. {
  40395. "ph": "X",
  40396. "cat": "Op",
  40397. "name": "Conv2DBackpropFilter",
  40398. "pid": 15,
  40399. "tid": 3,
  40400. "ts": 1539815917079831,
  40401. "dur": 3,
  40402. "args": {
  40403. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40404. "op": "Conv2DBackpropFilter"
  40405. }
  40406. },
  40407. {
  40408. "ph": "X",
  40409. "cat": "Op",
  40410. "name": "Conv2DBackpropFilter",
  40411. "pid": 15,
  40412. "tid": 3,
  40413. "ts": 1539815917079842,
  40414. "dur": 940,
  40415. "args": {
  40416. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40417. "op": "Conv2DBackpropFilter"
  40418. }
  40419. },
  40420. {
  40421. "ph": "X",
  40422. "cat": "Op",
  40423. "name": "Conv2DBackpropFilter",
  40424. "pid": 15,
  40425. "tid": 1,
  40426. "ts": 1539815917080441,
  40427. "dur": 4,
  40428. "args": {
  40429. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40430. "op": "Conv2DBackpropFilter"
  40431. }
  40432. },
  40433. {
  40434. "ph": "X",
  40435. "cat": "Op",
  40436. "name": "Conv2DBackpropFilter",
  40437. "pid": 15,
  40438. "tid": 1,
  40439. "ts": 1539815917080452,
  40440. "dur": 3,
  40441. "args": {
  40442. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40443. "op": "Conv2DBackpropFilter"
  40444. }
  40445. },
  40446. {
  40447. "ph": "X",
  40448. "cat": "Op",
  40449. "name": "Conv2DBackpropFilter",
  40450. "pid": 15,
  40451. "tid": 1,
  40452. "ts": 1539815917080464,
  40453. "dur": 3,
  40454. "args": {
  40455. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40456. "op": "Conv2DBackpropFilter"
  40457. }
  40458. },
  40459. {
  40460. "ph": "X",
  40461. "cat": "Op",
  40462. "name": "Conv2DBackpropFilter",
  40463. "pid": 15,
  40464. "tid": 1,
  40465. "ts": 1539815917080473,
  40466. "dur": 1022,
  40467. "args": {
  40468. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40469. "op": "Conv2DBackpropFilter"
  40470. }
  40471. },
  40472. {
  40473. "ph": "X",
  40474. "cat": "Op",
  40475. "name": "Conv2DBackpropFilter",
  40476. "pid": 15,
  40477. "tid": 4,
  40478. "ts": 1539815917080531,
  40479. "dur": 25,
  40480. "args": {
  40481. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40482. "op": "Conv2DBackpropFilter"
  40483. }
  40484. },
  40485. {
  40486. "ph": "X",
  40487. "cat": "Op",
  40488. "name": "Conv2DBackpropFilter",
  40489. "pid": 15,
  40490. "tid": 4,
  40491. "ts": 1539815917080559,
  40492. "dur": 343,
  40493. "args": {
  40494. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40495. "op": "Conv2DBackpropFilter"
  40496. }
  40497. },
  40498. {
  40499. "ph": "X",
  40500. "cat": "Op",
  40501. "name": "Conv2DBackpropFilter",
  40502. "pid": 15,
  40503. "tid": 0,
  40504. "ts": 1539815917080906,
  40505. "dur": 1105,
  40506. "args": {
  40507. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40508. "op": "Conv2DBackpropFilter"
  40509. }
  40510. },
  40511. {
  40512. "ph": "X",
  40513. "cat": "Op",
  40514. "name": "Conv2DBackpropFilter",
  40515. "pid": 15,
  40516. "tid": 0,
  40517. "ts": 1539815917082015,
  40518. "dur": 7,
  40519. "args": {
  40520. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40521. "op": "Conv2DBackpropFilter"
  40522. }
  40523. },
  40524. {
  40525. "ph": "X",
  40526. "cat": "Op",
  40527. "name": "Conv2DBackpropFilter",
  40528. "pid": 15,
  40529. "tid": 2,
  40530. "ts": 1539815917080724,
  40531. "dur": 212,
  40532. "args": {
  40533. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40534. "op": "Conv2DBackpropFilter"
  40535. }
  40536. },
  40537. {
  40538. "ph": "X",
  40539. "cat": "Op",
  40540. "name": "Conv2DBackpropFilter",
  40541. "pid": 15,
  40542. "tid": 2,
  40543. "ts": 1539815917080945,
  40544. "dur": 4,
  40545. "args": {
  40546. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40547. "op": "Conv2DBackpropFilter"
  40548. }
  40549. },
  40550. {
  40551. "ph": "X",
  40552. "cat": "Op",
  40553. "name": "Conv2DBackpropInput",
  40554. "pid": 15,
  40555. "tid": 2,
  40556. "ts": 1539815917080952,
  40557. "dur": 4,
  40558. "args": {
  40559. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  40560. "op": "Conv2DBackpropInput"
  40561. }
  40562. },
  40563. {
  40564. "ph": "X",
  40565. "cat": "Op",
  40566. "name": "Conv2DBackpropInput",
  40567. "pid": 15,
  40568. "tid": 2,
  40569. "ts": 1539815917080963,
  40570. "dur": 4,
  40571. "args": {
  40572. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  40573. "op": "Conv2DBackpropInput"
  40574. }
  40575. },
  40576. {
  40577. "ph": "X",
  40578. "cat": "Op",
  40579. "name": "Conv2DBackpropFilter",
  40580. "pid": 15,
  40581. "tid": 3,
  40582. "ts": 1539815917080840,
  40583. "dur": 3,
  40584. "args": {
  40585. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40586. "op": "Conv2DBackpropFilter"
  40587. }
  40588. },
  40589. {
  40590. "ph": "X",
  40591. "cat": "Op",
  40592. "name": "Conv2DBackpropFilter",
  40593. "pid": 15,
  40594. "tid": 3,
  40595. "ts": 1539815917080850,
  40596. "dur": 3,
  40597. "args": {
  40598. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40599. "op": "Conv2DBackpropFilter"
  40600. }
  40601. },
  40602. {
  40603. "ph": "X",
  40604. "cat": "Op",
  40605. "name": "Conv2DBackpropFilter",
  40606. "pid": 15,
  40607. "tid": 3,
  40608. "ts": 1539815917080858,
  40609. "dur": 4,
  40610. "args": {
  40611. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40612. "op": "Conv2DBackpropFilter"
  40613. }
  40614. },
  40615. {
  40616. "ph": "X",
  40617. "cat": "Op",
  40618. "name": "Conv2DBackpropFilter",
  40619. "pid": 15,
  40620. "tid": 3,
  40621. "ts": 1539815917080869,
  40622. "dur": 941,
  40623. "args": {
  40624. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40625. "op": "Conv2DBackpropFilter"
  40626. }
  40627. },
  40628. {
  40629. "ph": "X",
  40630. "cat": "Op",
  40631. "name": "Conv2DBackpropInput",
  40632. "pid": 15,
  40633. "tid": 2,
  40634. "ts": 1539815917080970,
  40635. "dur": 203,
  40636. "args": {
  40637. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  40638. "op": "Conv2DBackpropInput"
  40639. }
  40640. },
  40641. {
  40642. "ph": "X",
  40643. "cat": "Op",
  40644. "name": "Conv2DBackpropInput",
  40645. "pid": 15,
  40646. "tid": 2,
  40647. "ts": 1539815917081213,
  40648. "dur": 5,
  40649. "args": {
  40650. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  40651. "op": "Conv2DBackpropInput"
  40652. }
  40653. },
  40654. {
  40655. "ph": "X",
  40656. "cat": "Op",
  40657. "name": "Conv2DBackpropInput",
  40658. "pid": 15,
  40659. "tid": 2,
  40660. "ts": 1539815917081233,
  40661. "dur": 206,
  40662. "args": {
  40663. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  40664. "op": "Conv2DBackpropInput"
  40665. }
  40666. },
  40667. {
  40668. "ph": "X",
  40669. "cat": "Op",
  40670. "name": "Conv2DBackpropInput",
  40671. "pid": 15,
  40672. "tid": 2,
  40673. "ts": 1539815917081495,
  40674. "dur": 3,
  40675. "args": {
  40676. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  40677. "op": "Conv2DBackpropInput"
  40678. }
  40679. },
  40680. {
  40681. "ph": "X",
  40682. "cat": "Op",
  40683. "name": "Conv2DBackpropInput",
  40684. "pid": 15,
  40685. "tid": 1,
  40686. "ts": 1539815917081508,
  40687. "dur": 3,
  40688. "args": {
  40689. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  40690. "op": "Conv2DBackpropInput"
  40691. }
  40692. },
  40693. {
  40694. "ph": "X",
  40695. "cat": "Op",
  40696. "name": "Conv2DBackpropInput",
  40697. "pid": 15,
  40698. "tid": 1,
  40699. "ts": 1539815917081522,
  40700. "dur": 2840,
  40701. "args": {
  40702. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  40703. "op": "Conv2DBackpropInput"
  40704. }
  40705. },
  40706. {
  40707. "ph": "X",
  40708. "cat": "Op",
  40709. "name": "Conv2DBackpropFilter",
  40710. "pid": 15,
  40711. "tid": 2,
  40712. "ts": 1539815917081554,
  40713. "dur": 4,
  40714. "args": {
  40715. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40716. "op": "Conv2DBackpropFilter"
  40717. }
  40718. },
  40719. {
  40720. "ph": "X",
  40721. "cat": "Op",
  40722. "name": "Conv2DBackpropFilter",
  40723. "pid": 15,
  40724. "tid": 2,
  40725. "ts": 1539815917081564,
  40726. "dur": 3,
  40727. "args": {
  40728. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40729. "op": "Conv2DBackpropFilter"
  40730. }
  40731. },
  40732. {
  40733. "ph": "X",
  40734. "cat": "Op",
  40735. "name": "Conv2DBackpropFilter",
  40736. "pid": 15,
  40737. "tid": 2,
  40738. "ts": 1539815917081574,
  40739. "dur": 3,
  40740. "args": {
  40741. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40742. "op": "Conv2DBackpropFilter"
  40743. }
  40744. },
  40745. {
  40746. "ph": "X",
  40747. "cat": "Op",
  40748. "name": "Conv2DBackpropFilter",
  40749. "pid": 15,
  40750. "tid": 2,
  40751. "ts": 1539815917081582,
  40752. "dur": 997,
  40753. "args": {
  40754. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40755. "op": "Conv2DBackpropFilter"
  40756. }
  40757. },
  40758. {
  40759. "ph": "X",
  40760. "cat": "Op",
  40761. "name": "Conv2DBackpropFilter",
  40762. "pid": 15,
  40763. "tid": 3,
  40764. "ts": 1539815917081856,
  40765. "dur": 24,
  40766. "args": {
  40767. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40768. "op": "Conv2DBackpropFilter"
  40769. }
  40770. },
  40771. {
  40772. "ph": "X",
  40773. "cat": "Op",
  40774. "name": "Conv2DBackpropFilter",
  40775. "pid": 15,
  40776. "tid": 3,
  40777. "ts": 1539815917081883,
  40778. "dur": 343,
  40779. "args": {
  40780. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40781. "op": "Conv2DBackpropFilter"
  40782. }
  40783. },
  40784. {
  40785. "ph": "X",
  40786. "cat": "Op",
  40787. "name": "Conv2DBackpropFilter",
  40788. "pid": 15,
  40789. "tid": 0,
  40790. "ts": 1539815917082230,
  40791. "dur": 1105,
  40792. "args": {
  40793. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40794. "op": "Conv2DBackpropFilter"
  40795. }
  40796. },
  40797. {
  40798. "ph": "X",
  40799. "cat": "Op",
  40800. "name": "Conv2DBackpropFilter",
  40801. "pid": 15,
  40802. "tid": 0,
  40803. "ts": 1539815917083339,
  40804. "dur": 7,
  40805. "args": {
  40806. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40807. "op": "Conv2DBackpropFilter"
  40808. }
  40809. },
  40810. {
  40811. "ph": "X",
  40812. "cat": "Op",
  40813. "name": "Conv2DBackpropFilter",
  40814. "pid": 15,
  40815. "tid": 4,
  40816. "ts": 1539815917082072,
  40817. "dur": 25,
  40818. "args": {
  40819. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40820. "op": "Conv2DBackpropFilter"
  40821. }
  40822. },
  40823. {
  40824. "ph": "X",
  40825. "cat": "Op",
  40826. "name": "Conv2DBackpropFilter",
  40827. "pid": 15,
  40828. "tid": 4,
  40829. "ts": 1539815917082101,
  40830. "dur": 343,
  40831. "args": {
  40832. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40833. "op": "Conv2DBackpropFilter"
  40834. }
  40835. },
  40836. {
  40837. "ph": "X",
  40838. "cat": "Op",
  40839. "name": "Conv2DBackpropFilter",
  40840. "pid": 15,
  40841. "tid": 3,
  40842. "ts": 1539815917082447,
  40843. "dur": 1105,
  40844. "args": {
  40845. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40846. "op": "Conv2DBackpropFilter"
  40847. }
  40848. },
  40849. {
  40850. "ph": "X",
  40851. "cat": "Op",
  40852. "name": "Conv2DBackpropFilter",
  40853. "pid": 15,
  40854. "tid": 0,
  40855. "ts": 1539815917083557,
  40856. "dur": 7,
  40857. "args": {
  40858. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40859. "op": "Conv2DBackpropFilter"
  40860. }
  40861. },
  40862. {
  40863. "ph": "X",
  40864. "cat": "Op",
  40865. "name": "Conv2DBackpropFilter",
  40866. "pid": 15,
  40867. "tid": 2,
  40868. "ts": 1539815917082623,
  40869. "dur": 25,
  40870. "args": {
  40871. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40872. "op": "Conv2DBackpropFilter"
  40873. }
  40874. },
  40875. {
  40876. "ph": "X",
  40877. "cat": "Op",
  40878. "name": "Conv2DBackpropFilter",
  40879. "pid": 15,
  40880. "tid": 2,
  40881. "ts": 1539815917082653,
  40882. "dur": 343,
  40883. "args": {
  40884. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40885. "op": "Conv2DBackpropFilter"
  40886. }
  40887. },
  40888. {
  40889. "ph": "X",
  40890. "cat": "Op",
  40891. "name": "Conv2DBackpropFilter",
  40892. "pid": 15,
  40893. "tid": 2,
  40894. "ts": 1539815917083000,
  40895. "dur": 1104,
  40896. "args": {
  40897. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40898. "op": "Conv2DBackpropFilter"
  40899. }
  40900. },
  40901. {
  40902. "ph": "X",
  40903. "cat": "Op",
  40904. "name": "Conv2DBackpropFilter",
  40905. "pid": 15,
  40906. "tid": 0,
  40907. "ts": 1539815917084108,
  40908. "dur": 7,
  40909. "args": {
  40910. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40911. "op": "Conv2DBackpropFilter"
  40912. }
  40913. },
  40914. {
  40915. "ph": "X",
  40916. "cat": "Op",
  40917. "name": "Conv2DBackpropFilter",
  40918. "pid": 15,
  40919. "tid": 4,
  40920. "ts": 1539815917083401,
  40921. "dur": 25,
  40922. "args": {
  40923. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40924. "op": "Conv2DBackpropFilter"
  40925. }
  40926. },
  40927. {
  40928. "ph": "X",
  40929. "cat": "Op",
  40930. "name": "Conv2DBackpropFilter",
  40931. "pid": 15,
  40932. "tid": 4,
  40933. "ts": 1539815917083430,
  40934. "dur": 343,
  40935. "args": {
  40936. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40937. "op": "Conv2DBackpropFilter"
  40938. }
  40939. },
  40940. {
  40941. "ph": "X",
  40942. "cat": "Op",
  40943. "name": "Conv2DBackpropFilter",
  40944. "pid": 15,
  40945. "tid": 3,
  40946. "ts": 1539815917083776,
  40947. "dur": 1106,
  40948. "args": {
  40949. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40950. "op": "Conv2DBackpropFilter"
  40951. }
  40952. },
  40953. {
  40954. "ph": "X",
  40955. "cat": "Op",
  40956. "name": "Conv2DBackpropFilter",
  40957. "pid": 15,
  40958. "tid": 0,
  40959. "ts": 1539815917084886,
  40960. "dur": 6,
  40961. "args": {
  40962. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40963. "op": "Conv2DBackpropFilter"
  40964. }
  40965. },
  40966. {
  40967. "ph": "X",
  40968. "cat": "Op",
  40969. "name": "Conv2DBackpropFilter",
  40970. "pid": 15,
  40971. "tid": 5,
  40972. "ts": 1539815917083626,
  40973. "dur": 221,
  40974. "args": {
  40975. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40976. "op": "Conv2DBackpropFilter"
  40977. }
  40978. },
  40979. {
  40980. "ph": "X",
  40981. "cat": "Op",
  40982. "name": "Conv2DBackpropFilter",
  40983. "pid": 15,
  40984. "tid": 4,
  40985. "ts": 1539815917083854,
  40986. "dur": 4,
  40987. "args": {
  40988. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  40989. "op": "Conv2DBackpropFilter"
  40990. }
  40991. },
  40992. {
  40993. "ph": "X",
  40994. "cat": "Op",
  40995. "name": "Conv2DBackpropInput",
  40996. "pid": 15,
  40997. "tid": 4,
  40998. "ts": 1539815917083861,
  40999. "dur": 5,
  41000. "args": {
  41001. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41002. "op": "Conv2DBackpropInput"
  41003. }
  41004. },
  41005. {
  41006. "ph": "X",
  41007. "cat": "Op",
  41008. "name": "Conv2DBackpropInput",
  41009. "pid": 15,
  41010. "tid": 4,
  41011. "ts": 1539815917083872,
  41012. "dur": 4,
  41013. "args": {
  41014. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41015. "op": "Conv2DBackpropInput"
  41016. }
  41017. },
  41018. {
  41019. "ph": "X",
  41020. "cat": "Op",
  41021. "name": "Conv2DBackpropInput",
  41022. "pid": 15,
  41023. "tid": 4,
  41024. "ts": 1539815917083880,
  41025. "dur": 210,
  41026. "args": {
  41027. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41028. "op": "Conv2DBackpropInput"
  41029. }
  41030. },
  41031. {
  41032. "ph": "X",
  41033. "cat": "Op",
  41034. "name": "Conv2DBackpropInput",
  41035. "pid": 15,
  41036. "tid": 2,
  41037. "ts": 1539815917084130,
  41038. "dur": 4,
  41039. "args": {
  41040. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41041. "op": "Conv2DBackpropInput"
  41042. }
  41043. },
  41044. {
  41045. "ph": "X",
  41046. "cat": "Op",
  41047. "name": "Conv2DBackpropInput",
  41048. "pid": 15,
  41049. "tid": 2,
  41050. "ts": 1539815917084150,
  41051. "dur": 212,
  41052. "args": {
  41053. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41054. "op": "Conv2DBackpropInput"
  41055. }
  41056. },
  41057. {
  41058. "ph": "X",
  41059. "cat": "Op",
  41060. "name": "Conv2DBackpropFilter",
  41061. "pid": 15,
  41062. "tid": 4,
  41063. "ts": 1539815917084162,
  41064. "dur": 24,
  41065. "args": {
  41066. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  41067. "op": "Conv2DBackpropFilter"
  41068. }
  41069. },
  41070. {
  41071. "ph": "X",
  41072. "cat": "Op",
  41073. "name": "Conv2DBackpropFilter",
  41074. "pid": 15,
  41075. "tid": 4,
  41076. "ts": 1539815917084190,
  41077. "dur": 344,
  41078. "args": {
  41079. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  41080. "op": "Conv2DBackpropFilter"
  41081. }
  41082. },
  41083. {
  41084. "ph": "X",
  41085. "cat": "Op",
  41086. "name": "Conv2DBackpropFilter",
  41087. "pid": 15,
  41088. "tid": 1,
  41089. "ts": 1539815917084537,
  41090. "dur": 1104,
  41091. "args": {
  41092. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  41093. "op": "Conv2DBackpropFilter"
  41094. }
  41095. },
  41096. {
  41097. "ph": "X",
  41098. "cat": "Op",
  41099. "name": "Conv2DBackpropFilter",
  41100. "pid": 15,
  41101. "tid": 0,
  41102. "ts": 1539815917085646,
  41103. "dur": 6,
  41104. "args": {
  41105. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  41106. "op": "Conv2DBackpropFilter"
  41107. }
  41108. },
  41109. {
  41110. "ph": "X",
  41111. "cat": "Op",
  41112. "name": "Conv2DBackpropInput",
  41113. "pid": 15,
  41114. "tid": 2,
  41115. "ts": 1539815917084415,
  41116. "dur": 4,
  41117. "args": {
  41118. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41119. "op": "Conv2DBackpropInput"
  41120. }
  41121. },
  41122. {
  41123. "ph": "X",
  41124. "cat": "Op",
  41125. "name": "Conv2DBackpropInput",
  41126. "pid": 15,
  41127. "tid": 2,
  41128. "ts": 1539815917084422,
  41129. "dur": 4,
  41130. "args": {
  41131. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41132. "op": "Conv2DBackpropInput"
  41133. }
  41134. },
  41135. {
  41136. "ph": "X",
  41137. "cat": "Op",
  41138. "name": "Conv2DBackpropInput",
  41139. "pid": 15,
  41140. "tid": 5,
  41141. "ts": 1539815917084426,
  41142. "dur": 4,
  41143. "args": {
  41144. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41145. "op": "Conv2DBackpropInput"
  41146. }
  41147. },
  41148. {
  41149. "ph": "X",
  41150. "cat": "Op",
  41151. "name": "Conv2DBackpropInput",
  41152. "pid": 15,
  41153. "tid": 2,
  41154. "ts": 1539815917084434,
  41155. "dur": 3,
  41156. "args": {
  41157. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41158. "op": "Conv2DBackpropInput"
  41159. }
  41160. },
  41161. {
  41162. "ph": "X",
  41163. "cat": "Op",
  41164. "name": "Conv2DBackpropInput",
  41165. "pid": 15,
  41166. "tid": 2,
  41167. "ts": 1539815917084440,
  41168. "dur": 2958,
  41169. "args": {
  41170. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41171. "op": "Conv2DBackpropInput"
  41172. }
  41173. },
  41174. {
  41175. "ph": "X",
  41176. "cat": "Op",
  41177. "name": "Conv2DBackpropInput",
  41178. "pid": 15,
  41179. "tid": 5,
  41180. "ts": 1539815917084449,
  41181. "dur": 2844,
  41182. "args": {
  41183. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41184. "op": "Conv2DBackpropInput"
  41185. }
  41186. },
  41187. {
  41188. "ph": "X",
  41189. "cat": "Op",
  41190. "name": "Conv2DBackpropFilter",
  41191. "pid": 15,
  41192. "tid": 3,
  41193. "ts": 1539815917084955,
  41194. "dur": 222,
  41195. "args": {
  41196. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  41197. "op": "Conv2DBackpropFilter"
  41198. }
  41199. },
  41200. {
  41201. "ph": "X",
  41202. "cat": "Op",
  41203. "name": "Conv2DBackpropFilter",
  41204. "pid": 15,
  41205. "tid": 3,
  41206. "ts": 1539815917085184,
  41207. "dur": 5,
  41208. "args": {
  41209. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  41210. "op": "Conv2DBackpropFilter"
  41211. }
  41212. },
  41213. {
  41214. "ph": "X",
  41215. "cat": "Op",
  41216. "name": "Conv2DBackpropInput",
  41217. "pid": 15,
  41218. "tid": 3,
  41219. "ts": 1539815917085192,
  41220. "dur": 4,
  41221. "args": {
  41222. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41223. "op": "Conv2DBackpropInput"
  41224. }
  41225. },
  41226. {
  41227. "ph": "X",
  41228. "cat": "Op",
  41229. "name": "Conv2DBackpropInput",
  41230. "pid": 15,
  41231. "tid": 3,
  41232. "ts": 1539815917085203,
  41233. "dur": 4,
  41234. "args": {
  41235. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41236. "op": "Conv2DBackpropInput"
  41237. }
  41238. },
  41239. {
  41240. "ph": "X",
  41241. "cat": "Op",
  41242. "name": "Conv2DBackpropInput",
  41243. "pid": 15,
  41244. "tid": 3,
  41245. "ts": 1539815917085211,
  41246. "dur": 214,
  41247. "args": {
  41248. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41249. "op": "Conv2DBackpropInput"
  41250. }
  41251. },
  41252. {
  41253. "ph": "X",
  41254. "cat": "Op",
  41255. "name": "Conv2DBackpropInput",
  41256. "pid": 15,
  41257. "tid": 3,
  41258. "ts": 1539815917085462,
  41259. "dur": 5,
  41260. "args": {
  41261. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41262. "op": "Conv2DBackpropInput"
  41263. }
  41264. },
  41265. {
  41266. "ph": "X",
  41267. "cat": "Op",
  41268. "name": "Conv2DBackpropInput",
  41269. "pid": 15,
  41270. "tid": 3,
  41271. "ts": 1539815917085482,
  41272. "dur": 211,
  41273. "args": {
  41274. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41275. "op": "Conv2DBackpropInput"
  41276. }
  41277. },
  41278. {
  41279. "ph": "X",
  41280. "cat": "Op",
  41281. "name": "Conv2DBackpropFilter",
  41282. "pid": 15,
  41283. "tid": 0,
  41284. "ts": 1539815917085711,
  41285. "dur": 223,
  41286. "args": {
  41287. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  41288. "op": "Conv2DBackpropFilter"
  41289. }
  41290. },
  41291. {
  41292. "ph": "X",
  41293. "cat": "Op",
  41294. "name": "Conv2DBackpropFilter",
  41295. "pid": 15,
  41296. "tid": 0,
  41297. "ts": 1539815917085941,
  41298. "dur": 4,
  41299. "args": {
  41300. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  41301. "op": "Conv2DBackpropFilter"
  41302. }
  41303. },
  41304. {
  41305. "ph": "X",
  41306. "cat": "Op",
  41307. "name": "Conv2DBackpropInput",
  41308. "pid": 15,
  41309. "tid": 1,
  41310. "ts": 1539815917085747,
  41311. "dur": 4,
  41312. "args": {
  41313. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41314. "op": "Conv2DBackpropInput"
  41315. }
  41316. },
  41317. {
  41318. "ph": "X",
  41319. "cat": "Op",
  41320. "name": "Conv2DBackpropInput",
  41321. "pid": 15,
  41322. "tid": 1,
  41323. "ts": 1539815917085758,
  41324. "dur": 3,
  41325. "args": {
  41326. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41327. "op": "Conv2DBackpropInput"
  41328. }
  41329. },
  41330. {
  41331. "ph": "X",
  41332. "cat": "Op",
  41333. "name": "Conv2DBackpropInput",
  41334. "pid": 15,
  41335. "tid": 1,
  41336. "ts": 1539815917085772,
  41337. "dur": 2958,
  41338. "args": {
  41339. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41340. "op": "Conv2DBackpropInput"
  41341. }
  41342. },
  41343. {
  41344. "ph": "X",
  41345. "cat": "Op",
  41346. "name": "Conv2DBackpropInput",
  41347. "pid": 15,
  41348. "tid": 0,
  41349. "ts": 1539815917085948,
  41350. "dur": 4,
  41351. "args": {
  41352. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41353. "op": "Conv2DBackpropInput"
  41354. }
  41355. },
  41356. {
  41357. "ph": "X",
  41358. "cat": "Op",
  41359. "name": "Conv2DBackpropInput",
  41360. "pid": 15,
  41361. "tid": 0,
  41362. "ts": 1539815917085960,
  41363. "dur": 4,
  41364. "args": {
  41365. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41366. "op": "Conv2DBackpropInput"
  41367. }
  41368. },
  41369. {
  41370. "ph": "X",
  41371. "cat": "Op",
  41372. "name": "Conv2DBackpropInput",
  41373. "pid": 15,
  41374. "tid": 0,
  41375. "ts": 1539815917085967,
  41376. "dur": 214,
  41377. "args": {
  41378. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41379. "op": "Conv2DBackpropInput"
  41380. }
  41381. },
  41382. {
  41383. "ph": "X",
  41384. "cat": "Op",
  41385. "name": "Conv2DBackpropInput",
  41386. "pid": 15,
  41387. "tid": 0,
  41388. "ts": 1539815917086220,
  41389. "dur": 5,
  41390. "args": {
  41391. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41392. "op": "Conv2DBackpropInput"
  41393. }
  41394. },
  41395. {
  41396. "ph": "X",
  41397. "cat": "Op",
  41398. "name": "Conv2DBackpropInput",
  41399. "pid": 15,
  41400. "tid": 0,
  41401. "ts": 1539815917086239,
  41402. "dur": 214,
  41403. "args": {
  41404. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41405. "op": "Conv2DBackpropInput"
  41406. }
  41407. },
  41408. {
  41409. "ph": "X",
  41410. "cat": "Op",
  41411. "name": "Conv2DBackpropInput",
  41412. "pid": 15,
  41413. "tid": 0,
  41414. "ts": 1539815917086506,
  41415. "dur": 4,
  41416. "args": {
  41417. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41418. "op": "Conv2DBackpropInput"
  41419. }
  41420. },
  41421. {
  41422. "ph": "X",
  41423. "cat": "Op",
  41424. "name": "Conv2DBackpropInput",
  41425. "pid": 15,
  41426. "tid": 0,
  41427. "ts": 1539815917086518,
  41428. "dur": 3,
  41429. "args": {
  41430. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41431. "op": "Conv2DBackpropInput"
  41432. }
  41433. },
  41434. {
  41435. "ph": "X",
  41436. "cat": "Op",
  41437. "name": "Conv2DBackpropInput",
  41438. "pid": 15,
  41439. "tid": 0,
  41440. "ts": 1539815917086531,
  41441. "dur": 2962,
  41442. "args": {
  41443. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41444. "op": "Conv2DBackpropInput"
  41445. }
  41446. },
  41447. {
  41448. "ph": "X",
  41449. "cat": "Op",
  41450. "name": "Conv2DBackpropInput",
  41451. "pid": 15,
  41452. "tid": 3,
  41453. "ts": 1539815917087347,
  41454. "dur": 15,
  41455. "args": {
  41456. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41457. "op": "Conv2DBackpropInput"
  41458. }
  41459. },
  41460. {
  41461. "ph": "X",
  41462. "cat": "Op",
  41463. "name": "Conv2DBackpropInput",
  41464. "pid": 15,
  41465. "tid": 3,
  41466. "ts": 1539815917087365,
  41467. "dur": 186,
  41468. "args": {
  41469. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41470. "op": "Conv2DBackpropInput"
  41471. }
  41472. },
  41473. {
  41474. "ph": "X",
  41475. "cat": "Op",
  41476. "name": "Conv2DBackpropInput",
  41477. "pid": 15,
  41478. "tid": 2,
  41479. "ts": 1539815917087555,
  41480. "dur": 4,
  41481. "args": {
  41482. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41483. "op": "Conv2DBackpropInput"
  41484. }
  41485. },
  41486. {
  41487. "ph": "X",
  41488. "cat": "Op",
  41489. "name": "Conv2DBackpropInput",
  41490. "pid": 15,
  41491. "tid": 2,
  41492. "ts": 1539815917087564,
  41493. "dur": 328,
  41494. "args": {
  41495. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41496. "op": "Conv2DBackpropInput"
  41497. }
  41498. },
  41499. {
  41500. "ph": "X",
  41501. "cat": "Op",
  41502. "name": "Conv2DBackpropInput",
  41503. "pid": 15,
  41504. "tid": 2,
  41505. "ts": 1539815917087895,
  41506. "dur": 18,
  41507. "args": {
  41508. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41509. "op": "Conv2DBackpropInput"
  41510. }
  41511. },
  41512. {
  41513. "ph": "X",
  41514. "cat": "Op",
  41515. "name": "Conv2DBackpropInput",
  41516. "pid": 15,
  41517. "tid": 4,
  41518. "ts": 1539815917087455,
  41519. "dur": 4,
  41520. "args": {
  41521. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41522. "op": "Conv2DBackpropInput"
  41523. }
  41524. },
  41525. {
  41526. "ph": "X",
  41527. "cat": "Op",
  41528. "name": "Conv2DBackpropInput",
  41529. "pid": 15,
  41530. "tid": 4,
  41531. "ts": 1539815917087467,
  41532. "dur": 3,
  41533. "args": {
  41534. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41535. "op": "Conv2DBackpropInput"
  41536. }
  41537. },
  41538. {
  41539. "ph": "X",
  41540. "cat": "Op",
  41541. "name": "Conv2DBackpropInput",
  41542. "pid": 15,
  41543. "tid": 4,
  41544. "ts": 1539815917087479,
  41545. "dur": 2959,
  41546. "args": {
  41547. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41548. "op": "Conv2DBackpropInput"
  41549. }
  41550. },
  41551. {
  41552. "ph": "X",
  41553. "cat": "Op",
  41554. "name": "Conv2DBackpropInput",
  41555. "pid": 15,
  41556. "tid": 2,
  41557. "ts": 1539815917087963,
  41558. "dur": 14,
  41559. "args": {
  41560. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41561. "op": "Conv2DBackpropInput"
  41562. }
  41563. },
  41564. {
  41565. "ph": "X",
  41566. "cat": "Op",
  41567. "name": "Conv2DBackpropInput",
  41568. "pid": 15,
  41569. "tid": 2,
  41570. "ts": 1539815917087982,
  41571. "dur": 189,
  41572. "args": {
  41573. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41574. "op": "Conv2DBackpropInput"
  41575. }
  41576. },
  41577. {
  41578. "ph": "X",
  41579. "cat": "Op",
  41580. "name": "Conv2DBackpropInput",
  41581. "pid": 15,
  41582. "tid": 2,
  41583. "ts": 1539815917088175,
  41584. "dur": 4,
  41585. "args": {
  41586. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41587. "op": "Conv2DBackpropInput"
  41588. }
  41589. },
  41590. {
  41591. "ph": "X",
  41592. "cat": "Op",
  41593. "name": "Conv2DBackpropInput",
  41594. "pid": 15,
  41595. "tid": 2,
  41596. "ts": 1539815917088182,
  41597. "dur": 328,
  41598. "args": {
  41599. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41600. "op": "Conv2DBackpropInput"
  41601. }
  41602. },
  41603. {
  41604. "ph": "X",
  41605. "cat": "Op",
  41606. "name": "Conv2DBackpropInput",
  41607. "pid": 15,
  41608. "tid": 2,
  41609. "ts": 1539815917088514,
  41610. "dur": 18,
  41611. "args": {
  41612. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41613. "op": "Conv2DBackpropInput"
  41614. }
  41615. },
  41616. {
  41617. "ph": "X",
  41618. "cat": "Op",
  41619. "name": "Conv2DBackpropInput",
  41620. "pid": 15,
  41621. "tid": 2,
  41622. "ts": 1539815917088585,
  41623. "dur": 15,
  41624. "args": {
  41625. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41626. "op": "Conv2DBackpropInput"
  41627. }
  41628. },
  41629. {
  41630. "ph": "X",
  41631. "cat": "Op",
  41632. "name": "Conv2DBackpropInput",
  41633. "pid": 15,
  41634. "tid": 2,
  41635. "ts": 1539815917088603,
  41636. "dur": 190,
  41637. "args": {
  41638. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41639. "op": "Conv2DBackpropInput"
  41640. }
  41641. },
  41642. {
  41643. "ph": "X",
  41644. "cat": "Op",
  41645. "name": "Conv2DBackpropInput",
  41646. "pid": 15,
  41647. "tid": 1,
  41648. "ts": 1539815917088803,
  41649. "dur": 264,
  41650. "args": {
  41651. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41652. "op": "Conv2DBackpropInput"
  41653. }
  41654. },
  41655. {
  41656. "ph": "X",
  41657. "cat": "Op",
  41658. "name": "Conv2DBackpropInput",
  41659. "pid": 15,
  41660. "tid": 1,
  41661. "ts": 1539815917089070,
  41662. "dur": 18,
  41663. "args": {
  41664. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41665. "op": "Conv2DBackpropInput"
  41666. }
  41667. },
  41668. {
  41669. "ph": "X",
  41670. "cat": "Op",
  41671. "name": "Conv2DBackpropInput",
  41672. "pid": 15,
  41673. "tid": 3,
  41674. "ts": 1539815917088786,
  41675. "dur": 4,
  41676. "args": {
  41677. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41678. "op": "Conv2DBackpropInput"
  41679. }
  41680. },
  41681. {
  41682. "ph": "X",
  41683. "cat": "Op",
  41684. "name": "Conv2DBackpropInput",
  41685. "pid": 15,
  41686. "tid": 2,
  41687. "ts": 1539815917088797,
  41688. "dur": 3,
  41689. "args": {
  41690. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41691. "op": "Conv2DBackpropInput"
  41692. }
  41693. },
  41694. {
  41695. "ph": "X",
  41696. "cat": "Op",
  41697. "name": "Conv2DBackpropInput",
  41698. "pid": 15,
  41699. "tid": 2,
  41700. "ts": 1539815917088809,
  41701. "dur": 2959,
  41702. "args": {
  41703. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41704. "op": "Conv2DBackpropInput"
  41705. }
  41706. },
  41707. {
  41708. "ph": "X",
  41709. "cat": "Op",
  41710. "name": "Conv2DBackpropInput",
  41711. "pid": 15,
  41712. "tid": 1,
  41713. "ts": 1539815917089137,
  41714. "dur": 15,
  41715. "args": {
  41716. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41717. "op": "Conv2DBackpropInput"
  41718. }
  41719. },
  41720. {
  41721. "ph": "X",
  41722. "cat": "Op",
  41723. "name": "Conv2DBackpropInput",
  41724. "pid": 15,
  41725. "tid": 1,
  41726. "ts": 1539815917089156,
  41727. "dur": 195,
  41728. "args": {
  41729. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41730. "op": "Conv2DBackpropInput"
  41731. }
  41732. },
  41733. {
  41734. "ph": "X",
  41735. "cat": "Op",
  41736. "name": "Conv2DBackpropInput",
  41737. "pid": 15,
  41738. "tid": 1,
  41739. "ts": 1539815917089360,
  41740. "dur": 262,
  41741. "args": {
  41742. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41743. "op": "Conv2DBackpropInput"
  41744. }
  41745. },
  41746. {
  41747. "ph": "X",
  41748. "cat": "Op",
  41749. "name": "Conv2DBackpropInput",
  41750. "pid": 15,
  41751. "tid": 0,
  41752. "ts": 1539815917089625,
  41753. "dur": 18,
  41754. "args": {
  41755. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41756. "op": "Conv2DBackpropInput"
  41757. }
  41758. },
  41759. {
  41760. "ph": "X",
  41761. "cat": "Op",
  41762. "name": "Conv2DBackpropInput",
  41763. "pid": 15,
  41764. "tid": 3,
  41765. "ts": 1539815917089550,
  41766. "dur": 4,
  41767. "args": {
  41768. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41769. "op": "Conv2DBackpropInput"
  41770. }
  41771. },
  41772. {
  41773. "ph": "X",
  41774. "cat": "Op",
  41775. "name": "Conv2DBackpropInput",
  41776. "pid": 15,
  41777. "tid": 3,
  41778. "ts": 1539815917089561,
  41779. "dur": 3,
  41780. "args": {
  41781. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41782. "op": "Conv2DBackpropInput"
  41783. }
  41784. },
  41785. {
  41786. "ph": "X",
  41787. "cat": "Op",
  41788. "name": "Conv2DBackpropInput",
  41789. "pid": 15,
  41790. "tid": 3,
  41791. "ts": 1539815917089572,
  41792. "dur": 2960,
  41793. "args": {
  41794. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41795. "op": "Conv2DBackpropInput"
  41796. }
  41797. },
  41798. {
  41799. "ph": "X",
  41800. "cat": "Op",
  41801. "name": "Conv2DBackpropInput",
  41802. "pid": 15,
  41803. "tid": 0,
  41804. "ts": 1539815917089710,
  41805. "dur": 902,
  41806. "args": {
  41807. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41808. "op": "Conv2DBackpropInput"
  41809. }
  41810. },
  41811. {
  41812. "ph": "X",
  41813. "cat": "Op",
  41814. "name": "Conv2DBackpropInput",
  41815. "pid": 15,
  41816. "tid": 0,
  41817. "ts": 1539815917090615,
  41818. "dur": 5,
  41819. "args": {
  41820. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41821. "op": "Conv2DBackpropInput"
  41822. }
  41823. },
  41824. {
  41825. "ph": "X",
  41826. "cat": "Op",
  41827. "name": "Conv2DBackpropInput",
  41828. "pid": 15,
  41829. "tid": 0,
  41830. "ts": 1539815917090624,
  41831. "dur": 411,
  41832. "args": {
  41833. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41834. "op": "Conv2DBackpropInput"
  41835. }
  41836. },
  41837. {
  41838. "ph": "X",
  41839. "cat": "Op",
  41840. "name": "Conv2DBackpropInput",
  41841. "pid": 15,
  41842. "tid": 0,
  41843. "ts": 1539815917091039,
  41844. "dur": 16,
  41845. "args": {
  41846. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41847. "op": "Conv2DBackpropInput"
  41848. }
  41849. },
  41850. {
  41851. "ph": "X",
  41852. "cat": "Op",
  41853. "name": "Conv2DBackpropInput",
  41854. "pid": 15,
  41855. "tid": 1,
  41856. "ts": 1539815917090486,
  41857. "dur": 14,
  41858. "args": {
  41859. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41860. "op": "Conv2DBackpropInput"
  41861. }
  41862. },
  41863. {
  41864. "ph": "X",
  41865. "cat": "Op",
  41866. "name": "Conv2DBackpropInput",
  41867. "pid": 15,
  41868. "tid": 1,
  41869. "ts": 1539815917090505,
  41870. "dur": 189,
  41871. "args": {
  41872. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41873. "op": "Conv2DBackpropInput"
  41874. }
  41875. },
  41876. {
  41877. "ph": "X",
  41878. "cat": "Op",
  41879. "name": "Conv2DBackpropInput",
  41880. "pid": 15,
  41881. "tid": 1,
  41882. "ts": 1539815917090697,
  41883. "dur": 4,
  41884. "args": {
  41885. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41886. "op": "Conv2DBackpropInput"
  41887. }
  41888. },
  41889. {
  41890. "ph": "X",
  41891. "cat": "Op",
  41892. "name": "Conv2DBackpropInput",
  41893. "pid": 15,
  41894. "tid": 1,
  41895. "ts": 1539815917090705,
  41896. "dur": 340,
  41897. "args": {
  41898. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41899. "op": "Conv2DBackpropInput"
  41900. }
  41901. },
  41902. {
  41903. "ph": "X",
  41904. "cat": "Op",
  41905. "name": "Conv2DBackpropInput",
  41906. "pid": 15,
  41907. "tid": 1,
  41908. "ts": 1539815917091050,
  41909. "dur": 18,
  41910. "args": {
  41911. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41912. "op": "Conv2DBackpropInput"
  41913. }
  41914. },
  41915. {
  41916. "ph": "X",
  41917. "cat": "Op",
  41918. "name": "Conv2DBackpropInput",
  41919. "pid": 15,
  41920. "tid": 0,
  41921. "ts": 1539815917091105,
  41922. "dur": 904,
  41923. "args": {
  41924. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41925. "op": "Conv2DBackpropInput"
  41926. }
  41927. },
  41928. {
  41929. "ph": "X",
  41930. "cat": "Op",
  41931. "name": "Conv2DBackpropInput",
  41932. "pid": 15,
  41933. "tid": 1,
  41934. "ts": 1539815917091120,
  41935. "dur": 15,
  41936. "args": {
  41937. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41938. "op": "Conv2DBackpropInput"
  41939. }
  41940. },
  41941. {
  41942. "ph": "X",
  41943. "cat": "Op",
  41944. "name": "Conv2DBackpropInput",
  41945. "pid": 15,
  41946. "tid": 0,
  41947. "ts": 1539815917092012,
  41948. "dur": 6,
  41949. "args": {
  41950. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41951. "op": "Conv2DBackpropInput"
  41952. }
  41953. },
  41954. {
  41955. "ph": "X",
  41956. "cat": "Op",
  41957. "name": "Conv2DBackpropInput",
  41958. "pid": 15,
  41959. "tid": 1,
  41960. "ts": 1539815917091138,
  41961. "dur": 191,
  41962. "args": {
  41963. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41964. "op": "Conv2DBackpropInput"
  41965. }
  41966. },
  41967. {
  41968. "ph": "X",
  41969. "cat": "Op",
  41970. "name": "Conv2DBackpropInput",
  41971. "pid": 15,
  41972. "tid": 0,
  41973. "ts": 1539815917092022,
  41974. "dur": 411,
  41975. "args": {
  41976. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41977. "op": "Conv2DBackpropInput"
  41978. }
  41979. },
  41980. {
  41981. "ph": "X",
  41982. "cat": "Op",
  41983. "name": "Conv2DBackpropInput",
  41984. "pid": 15,
  41985. "tid": 0,
  41986. "ts": 1539815917092437,
  41987. "dur": 15,
  41988. "args": {
  41989. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  41990. "op": "Conv2DBackpropInput"
  41991. }
  41992. },
  41993. {
  41994. "ph": "X",
  41995. "cat": "Op",
  41996. "name": "Conv2DBackpropInput",
  41997. "pid": 15,
  41998. "tid": 1,
  41999. "ts": 1539815917091333,
  42000. "dur": 4,
  42001. "args": {
  42002. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42003. "op": "Conv2DBackpropInput"
  42004. }
  42005. },
  42006. {
  42007. "ph": "X",
  42008. "cat": "Op",
  42009. "name": "Conv2DBackpropInput",
  42010. "pid": 15,
  42011. "tid": 1,
  42012. "ts": 1539815917091341,
  42013. "dur": 339,
  42014. "args": {
  42015. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42016. "op": "Conv2DBackpropInput"
  42017. }
  42018. },
  42019. {
  42020. "ph": "X",
  42021. "cat": "Op",
  42022. "name": "Conv2DBackpropInput",
  42023. "pid": 15,
  42024. "tid": 1,
  42025. "ts": 1539815917091685,
  42026. "dur": 19,
  42027. "args": {
  42028. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42029. "op": "Conv2DBackpropInput"
  42030. }
  42031. },
  42032. {
  42033. "ph": "X",
  42034. "cat": "Op",
  42035. "name": "Conv2DBackpropInput",
  42036. "pid": 15,
  42037. "tid": 1,
  42038. "ts": 1539815917091757,
  42039. "dur": 15,
  42040. "args": {
  42041. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42042. "op": "Conv2DBackpropInput"
  42043. }
  42044. },
  42045. {
  42046. "ph": "X",
  42047. "cat": "Op",
  42048. "name": "Conv2DBackpropInput",
  42049. "pid": 15,
  42050. "tid": 1,
  42051. "ts": 1539815917091775,
  42052. "dur": 191,
  42053. "args": {
  42054. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42055. "op": "Conv2DBackpropInput"
  42056. }
  42057. },
  42058. {
  42059. "ph": "X",
  42060. "cat": "Op",
  42061. "name": "Conv2DBackpropInput",
  42062. "pid": 15,
  42063. "tid": 1,
  42064. "ts": 1539815917091976,
  42065. "dur": 272,
  42066. "args": {
  42067. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42068. "op": "Conv2DBackpropInput"
  42069. }
  42070. },
  42071. {
  42072. "ph": "X",
  42073. "cat": "Op",
  42074. "name": "Conv2DBackpropInput",
  42075. "pid": 15,
  42076. "tid": 1,
  42077. "ts": 1539815917092251,
  42078. "dur": 18,
  42079. "args": {
  42080. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42081. "op": "Conv2DBackpropInput"
  42082. }
  42083. },
  42084. {
  42085. "ph": "X",
  42086. "cat": "Op",
  42087. "name": "Conv2DBackpropInput",
  42088. "pid": 15,
  42089. "tid": 2,
  42090. "ts": 1539815917091820,
  42091. "dur": 15,
  42092. "args": {
  42093. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42094. "op": "Conv2DBackpropInput"
  42095. }
  42096. },
  42097. {
  42098. "ph": "X",
  42099. "cat": "Op",
  42100. "name": "Conv2DBackpropInput",
  42101. "pid": 15,
  42102. "tid": 2,
  42103. "ts": 1539815917091839,
  42104. "dur": 186,
  42105. "args": {
  42106. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42107. "op": "Conv2DBackpropInput"
  42108. }
  42109. },
  42110. {
  42111. "ph": "X",
  42112. "cat": "Op",
  42113. "name": "Conv2DBackpropInput",
  42114. "pid": 15,
  42115. "tid": 2,
  42116. "ts": 1539815917092029,
  42117. "dur": 4,
  42118. "args": {
  42119. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42120. "op": "Conv2DBackpropInput"
  42121. }
  42122. },
  42123. {
  42124. "ph": "X",
  42125. "cat": "Op",
  42126. "name": "Conv2DBackpropInput",
  42127. "pid": 15,
  42128. "tid": 2,
  42129. "ts": 1539815917092037,
  42130. "dur": 343,
  42131. "args": {
  42132. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42133. "op": "Conv2DBackpropInput"
  42134. }
  42135. },
  42136. {
  42137. "ph": "X",
  42138. "cat": "Op",
  42139. "name": "Conv2DBackpropInput",
  42140. "pid": 15,
  42141. "tid": 1,
  42142. "ts": 1539815917092383,
  42143. "dur": 18,
  42144. "args": {
  42145. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42146. "op": "Conv2DBackpropInput"
  42147. }
  42148. },
  42149. {
  42150. "ph": "X",
  42151. "cat": "Op",
  42152. "name": "Conv2DBackpropInput",
  42153. "pid": 15,
  42154. "tid": 4,
  42155. "ts": 1539815917092319,
  42156. "dur": 15,
  42157. "args": {
  42158. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42159. "op": "Conv2DBackpropInput"
  42160. }
  42161. },
  42162. {
  42163. "ph": "X",
  42164. "cat": "Op",
  42165. "name": "Conv2DBackpropInput",
  42166. "pid": 15,
  42167. "tid": 4,
  42168. "ts": 1539815917092337,
  42169. "dur": 189,
  42170. "args": {
  42171. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42172. "op": "Conv2DBackpropInput"
  42173. }
  42174. },
  42175. {
  42176. "ph": "X",
  42177. "cat": "Op",
  42178. "name": "Conv2DBackpropInput",
  42179. "pid": 15,
  42180. "tid": 0,
  42181. "ts": 1539815917092537,
  42182. "dur": 274,
  42183. "args": {
  42184. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42185. "op": "Conv2DBackpropInput"
  42186. }
  42187. },
  42188. {
  42189. "ph": "X",
  42190. "cat": "Op",
  42191. "name": "Conv2DBackpropInput",
  42192. "pid": 15,
  42193. "tid": 0,
  42194. "ts": 1539815917092815,
  42195. "dur": 18,
  42196. "args": {
  42197. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42198. "op": "Conv2DBackpropInput"
  42199. }
  42200. },
  42201. {
  42202. "ph": "X",
  42203. "cat": "Op",
  42204. "name": "Conv2DBackpropInput",
  42205. "pid": 15,
  42206. "tid": 1,
  42207. "ts": 1539815917092456,
  42208. "dur": 15,
  42209. "args": {
  42210. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42211. "op": "Conv2DBackpropInput"
  42212. }
  42213. },
  42214. {
  42215. "ph": "X",
  42216. "cat": "Op",
  42217. "name": "Conv2DBackpropInput",
  42218. "pid": 15,
  42219. "tid": 1,
  42220. "ts": 1539815917092475,
  42221. "dur": 188,
  42222. "args": {
  42223. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42224. "op": "Conv2DBackpropInput"
  42225. }
  42226. },
  42227. {
  42228. "ph": "X",
  42229. "cat": "Op",
  42230. "name": "Conv2DBackpropInput",
  42231. "pid": 15,
  42232. "tid": 1,
  42233. "ts": 1539815917092666,
  42234. "dur": 4,
  42235. "args": {
  42236. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42237. "op": "Conv2DBackpropInput"
  42238. }
  42239. },
  42240. {
  42241. "ph": "X",
  42242. "cat": "Op",
  42243. "name": "Conv2DBackpropInput",
  42244. "pid": 15,
  42245. "tid": 2,
  42246. "ts": 1539815917092491,
  42247. "dur": 4,
  42248. "args": {
  42249. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42250. "op": "Conv2DBackpropInput"
  42251. }
  42252. },
  42253. {
  42254. "ph": "X",
  42255. "cat": "Op",
  42256. "name": "Conv2DBackpropInput",
  42257. "pid": 15,
  42258. "tid": 1,
  42259. "ts": 1539815917092673,
  42260. "dur": 342,
  42261. "args": {
  42262. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42263. "op": "Conv2DBackpropInput"
  42264. }
  42265. },
  42266. {
  42267. "ph": "X",
  42268. "cat": "Op",
  42269. "name": "Conv2DBackpropInput",
  42270. "pid": 15,
  42271. "tid": 0,
  42272. "ts": 1539815917093019,
  42273. "dur": 18,
  42274. "args": {
  42275. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42276. "op": "Conv2DBackpropInput"
  42277. }
  42278. },
  42279. {
  42280. "ph": "X",
  42281. "cat": "Op",
  42282. "name": "Conv2DBackpropInput",
  42283. "pid": 15,
  42284. "tid": 2,
  42285. "ts": 1539815917092516,
  42286. "dur": 206,
  42287. "args": {
  42288. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42289. "op": "Conv2DBackpropInput"
  42290. }
  42291. },
  42292. {
  42293. "ph": "X",
  42294. "cat": "Op",
  42295. "name": "FusedBatchNormGrad",
  42296. "pid": 15,
  42297. "tid": 2,
  42298. "ts": 1539815917092726,
  42299. "dur": 3,
  42300. "args": {
  42301. "name": "tower_3/training/TFOptimizer/gradients/tower_3/batch_normalization/FusedBatchNorm_grad/FusedBatchNormGrad",
  42302. "op": "FusedBatchNormGrad"
  42303. }
  42304. },
  42305. {
  42306. "ph": "X",
  42307. "cat": "Op",
  42308. "name": "Conv2DBackpropInput",
  42309. "pid": 15,
  42310. "tid": 3,
  42311. "ts": 1539815917092584,
  42312. "dur": 15,
  42313. "args": {
  42314. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42315. "op": "Conv2DBackpropInput"
  42316. }
  42317. },
  42318. {
  42319. "ph": "X",
  42320. "cat": "Op",
  42321. "name": "FusedBatchNormGrad",
  42322. "pid": 15,
  42323. "tid": 2,
  42324. "ts": 1539815917092732,
  42325. "dur": 3,
  42326. "args": {
  42327. "name": "tower_3/training/TFOptimizer/gradients/tower_3/batch_normalization/FusedBatchNorm_grad/FusedBatchNormGrad",
  42328. "op": "FusedBatchNormGrad"
  42329. }
  42330. },
  42331. {
  42332. "ph": "X",
  42333. "cat": "Op",
  42334. "name": "Conv2DBackpropInput",
  42335. "pid": 15,
  42336. "tid": 3,
  42337. "ts": 1539815917092603,
  42338. "dur": 185,
  42339. "args": {
  42340. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42341. "op": "Conv2DBackpropInput"
  42342. }
  42343. },
  42344. {
  42345. "ph": "X",
  42346. "cat": "Op",
  42347. "name": "FusedBatchNormGrad",
  42348. "pid": 15,
  42349. "tid": 2,
  42350. "ts": 1539815917092738,
  42351. "dur": 149,
  42352. "args": {
  42353. "name": "tower_3/training/TFOptimizer/gradients/tower_3/batch_normalization/FusedBatchNorm_grad/FusedBatchNormGrad",
  42354. "op": "FusedBatchNormGrad"
  42355. }
  42356. },
  42357. {
  42358. "ph": "X",
  42359. "cat": "Op",
  42360. "name": "Conv2DBackpropInput",
  42361. "pid": 15,
  42362. "tid": 3,
  42363. "ts": 1539815917092793,
  42364. "dur": 4,
  42365. "args": {
  42366. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42367. "op": "Conv2DBackpropInput"
  42368. }
  42369. },
  42370. {
  42371. "ph": "X",
  42372. "cat": "Op",
  42373. "name": "Conv2DBackpropInput",
  42374. "pid": 15,
  42375. "tid": 3,
  42376. "ts": 1539815917092801,
  42377. "dur": 345,
  42378. "args": {
  42379. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42380. "op": "Conv2DBackpropInput"
  42381. }
  42382. },
  42383. {
  42384. "ph": "X",
  42385. "cat": "Op",
  42386. "name": "Conv2DBackpropInput",
  42387. "pid": 15,
  42388. "tid": 0,
  42389. "ts": 1539815917093149,
  42390. "dur": 19,
  42391. "args": {
  42392. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42393. "op": "Conv2DBackpropInput"
  42394. }
  42395. },
  42396. {
  42397. "ph": "X",
  42398. "cat": "Op",
  42399. "name": "Conv2DBackpropInput",
  42400. "pid": 15,
  42401. "tid": 2,
  42402. "ts": 1539815917092898,
  42403. "dur": 926,
  42404. "args": {
  42405. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42406. "op": "Conv2DBackpropInput"
  42407. }
  42408. },
  42409. {
  42410. "ph": "X",
  42411. "cat": "Op",
  42412. "name": "Conv2DBackpropInput",
  42413. "pid": 15,
  42414. "tid": 0,
  42415. "ts": 1539815917093827,
  42416. "dur": 5,
  42417. "args": {
  42418. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42419. "op": "Conv2DBackpropInput"
  42420. }
  42421. },
  42422. {
  42423. "ph": "X",
  42424. "cat": "Op",
  42425. "name": "Conv2DBackpropInput",
  42426. "pid": 15,
  42427. "tid": 0,
  42428. "ts": 1539815917093836,
  42429. "dur": 429,
  42430. "args": {
  42431. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42432. "op": "Conv2DBackpropInput"
  42433. }
  42434. },
  42435. {
  42436. "ph": "X",
  42437. "cat": "Op",
  42438. "name": "Conv2DBackpropInput",
  42439. "pid": 15,
  42440. "tid": 0,
  42441. "ts": 1539815917094269,
  42442. "dur": 16,
  42443. "args": {
  42444. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42445. "op": "Conv2DBackpropInput"
  42446. }
  42447. },
  42448. {
  42449. "ph": "X",
  42450. "cat": "Op",
  42451. "name": "Conv2DBackpropInput",
  42452. "pid": 15,
  42453. "tid": 1,
  42454. "ts": 1539815917093090,
  42455. "dur": 14,
  42456. "args": {
  42457. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42458. "op": "Conv2DBackpropInput"
  42459. }
  42460. },
  42461. {
  42462. "ph": "X",
  42463. "cat": "Op",
  42464. "name": "Conv2DBackpropInput",
  42465. "pid": 15,
  42466. "tid": 1,
  42467. "ts": 1539815917093107,
  42468. "dur": 194,
  42469. "args": {
  42470. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42471. "op": "Conv2DBackpropInput"
  42472. }
  42473. },
  42474. {
  42475. "ph": "X",
  42476. "cat": "Op",
  42477. "name": "Conv2DBackpropInput",
  42478. "pid": 15,
  42479. "tid": 1,
  42480. "ts": 1539815917093312,
  42481. "dur": 273,
  42482. "args": {
  42483. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42484. "op": "Conv2DBackpropInput"
  42485. }
  42486. },
  42487. {
  42488. "ph": "X",
  42489. "cat": "Op",
  42490. "name": "Conv2DBackpropInput",
  42491. "pid": 15,
  42492. "tid": 1,
  42493. "ts": 1539815917093589,
  42494. "dur": 19,
  42495. "args": {
  42496. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42497. "op": "Conv2DBackpropInput"
  42498. }
  42499. },
  42500. {
  42501. "ph": "X",
  42502. "cat": "Op",
  42503. "name": "Conv2DBackpropInput",
  42504. "pid": 15,
  42505. "tid": 3,
  42506. "ts": 1539815917093215,
  42507. "dur": 15,
  42508. "args": {
  42509. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42510. "op": "Conv2DBackpropInput"
  42511. }
  42512. },
  42513. {
  42514. "ph": "X",
  42515. "cat": "Op",
  42516. "name": "Conv2DBackpropInput",
  42517. "pid": 15,
  42518. "tid": 3,
  42519. "ts": 1539815917093233,
  42520. "dur": 189,
  42521. "args": {
  42522. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42523. "op": "Conv2DBackpropInput"
  42524. }
  42525. },
  42526. {
  42527. "ph": "X",
  42528. "cat": "Op",
  42529. "name": "Conv2DBackpropInput",
  42530. "pid": 15,
  42531. "tid": 3,
  42532. "ts": 1539815917093425,
  42533. "dur": 4,
  42534. "args": {
  42535. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42536. "op": "Conv2DBackpropInput"
  42537. }
  42538. },
  42539. {
  42540. "ph": "X",
  42541. "cat": "Op",
  42542. "name": "Conv2DBackpropInput",
  42543. "pid": 15,
  42544. "tid": 3,
  42545. "ts": 1539815917093433,
  42546. "dur": 342,
  42547. "args": {
  42548. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42549. "op": "Conv2DBackpropInput"
  42550. }
  42551. },
  42552. {
  42553. "ph": "X",
  42554. "cat": "Op",
  42555. "name": "Conv2DBackpropInput",
  42556. "pid": 15,
  42557. "tid": 1,
  42558. "ts": 1539815917093778,
  42559. "dur": 18,
  42560. "args": {
  42561. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42562. "op": "Conv2DBackpropInput"
  42563. }
  42564. },
  42565. {
  42566. "ph": "X",
  42567. "cat": "Op",
  42568. "name": "Conv2DBackpropInput",
  42569. "pid": 15,
  42570. "tid": 4,
  42571. "ts": 1539815917093701,
  42572. "dur": 15,
  42573. "args": {
  42574. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42575. "op": "Conv2DBackpropInput"
  42576. }
  42577. },
  42578. {
  42579. "ph": "X",
  42580. "cat": "Op",
  42581. "name": "Conv2DBackpropInput",
  42582. "pid": 15,
  42583. "tid": 4,
  42584. "ts": 1539815917093720,
  42585. "dur": 193,
  42586. "args": {
  42587. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42588. "op": "Conv2DBackpropInput"
  42589. }
  42590. },
  42591. {
  42592. "ph": "X",
  42593. "cat": "Op",
  42594. "name": "Conv2DBackpropInput",
  42595. "pid": 15,
  42596. "tid": 1,
  42597. "ts": 1539815917093923,
  42598. "dur": 274,
  42599. "args": {
  42600. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42601. "op": "Conv2DBackpropInput"
  42602. }
  42603. },
  42604. {
  42605. "ph": "X",
  42606. "cat": "Op",
  42607. "name": "Conv2DBackpropInput",
  42608. "pid": 15,
  42609. "tid": 1,
  42610. "ts": 1539815917094200,
  42611. "dur": 18,
  42612. "args": {
  42613. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42614. "op": "Conv2DBackpropInput"
  42615. }
  42616. },
  42617. {
  42618. "ph": "X",
  42619. "cat": "Op",
  42620. "name": "ConcatV2",
  42621. "pid": 15,
  42622. "tid": 5,
  42623. "ts": 1539815917093758,
  42624. "dur": 50,
  42625. "args": {
  42626. "name": "training/TFOptimizer/concat_3",
  42627. "op": "ConcatV2"
  42628. }
  42629. },
  42630. {
  42631. "ph": "X",
  42632. "cat": "Op",
  42633. "name": "Conv2DBackpropInput",
  42634. "pid": 15,
  42635. "tid": 2,
  42636. "ts": 1539815917093848,
  42637. "dur": 15,
  42638. "args": {
  42639. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42640. "op": "Conv2DBackpropInput"
  42641. }
  42642. },
  42643. {
  42644. "ph": "X",
  42645. "cat": "Op",
  42646. "name": "Conv2DBackpropInput",
  42647. "pid": 15,
  42648. "tid": 2,
  42649. "ts": 1539815917093867,
  42650. "dur": 190,
  42651. "args": {
  42652. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42653. "op": "Conv2DBackpropInput"
  42654. }
  42655. },
  42656. {
  42657. "ph": "X",
  42658. "cat": "Op",
  42659. "name": "Conv2DBackpropInput",
  42660. "pid": 15,
  42661. "tid": 2,
  42662. "ts": 1539815917094065,
  42663. "dur": 275,
  42664. "args": {
  42665. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42666. "op": "Conv2DBackpropInput"
  42667. }
  42668. },
  42669. {
  42670. "ph": "X",
  42671. "cat": "Op",
  42672. "name": "Conv2DBackpropInput",
  42673. "pid": 15,
  42674. "tid": 0,
  42675. "ts": 1539815917094344,
  42676. "dur": 18,
  42677. "args": {
  42678. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42679. "op": "Conv2DBackpropInput"
  42680. }
  42681. },
  42682. {
  42683. "ph": "X",
  42684. "cat": "Op",
  42685. "name": "Conv2DBackpropInput",
  42686. "pid": 15,
  42687. "tid": 1,
  42688. "ts": 1539815917094285,
  42689. "dur": 939,
  42690. "args": {
  42691. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42692. "op": "Conv2DBackpropInput"
  42693. }
  42694. },
  42695. {
  42696. "ph": "X",
  42697. "cat": "Op",
  42698. "name": "Conv2DBackpropInput",
  42699. "pid": 15,
  42700. "tid": 0,
  42701. "ts": 1539815917095228,
  42702. "dur": 5,
  42703. "args": {
  42704. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42705. "op": "Conv2DBackpropInput"
  42706. }
  42707. },
  42708. {
  42709. "ph": "X",
  42710. "cat": "Op",
  42711. "name": "Conv2DBackpropInput",
  42712. "pid": 15,
  42713. "tid": 0,
  42714. "ts": 1539815917095236,
  42715. "dur": 429,
  42716. "args": {
  42717. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42718. "op": "Conv2DBackpropInput"
  42719. }
  42720. },
  42721. {
  42722. "ph": "X",
  42723. "cat": "Op",
  42724. "name": "Conv2DBackpropInput",
  42725. "pid": 15,
  42726. "tid": 0,
  42727. "ts": 1539815917095668,
  42728. "dur": 15,
  42729. "args": {
  42730. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42731. "op": "Conv2DBackpropInput"
  42732. }
  42733. },
  42734. {
  42735. "ph": "X",
  42736. "cat": "Op",
  42737. "name": "Conv2DBackpropInput",
  42738. "pid": 15,
  42739. "tid": 3,
  42740. "ts": 1539815917094328,
  42741. "dur": 914,
  42742. "args": {
  42743. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42744. "op": "Conv2DBackpropInput"
  42745. }
  42746. },
  42747. {
  42748. "ph": "X",
  42749. "cat": "Op",
  42750. "name": "Conv2DBackpropInput",
  42751. "pid": 15,
  42752. "tid": 1,
  42753. "ts": 1539815917095246,
  42754. "dur": 5,
  42755. "args": {
  42756. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42757. "op": "Conv2DBackpropInput"
  42758. }
  42759. },
  42760. {
  42761. "ph": "X",
  42762. "cat": "Op",
  42763. "name": "Conv2DBackpropInput",
  42764. "pid": 15,
  42765. "tid": 1,
  42766. "ts": 1539815917095254,
  42767. "dur": 428,
  42768. "args": {
  42769. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42770. "op": "Conv2DBackpropInput"
  42771. }
  42772. },
  42773. {
  42774. "ph": "X",
  42775. "cat": "Op",
  42776. "name": "Conv2DBackpropInput",
  42777. "pid": 15,
  42778. "tid": 0,
  42779. "ts": 1539815917095686,
  42780. "dur": 16,
  42781. "args": {
  42782. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42783. "op": "Conv2DBackpropInput"
  42784. }
  42785. },
  42786. {
  42787. "ph": "X",
  42788. "cat": "Op",
  42789. "name": "Conv2DBackpropInput",
  42790. "pid": 15,
  42791. "tid": 2,
  42792. "ts": 1539815917094412,
  42793. "dur": 15,
  42794. "args": {
  42795. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42796. "op": "Conv2DBackpropInput"
  42797. }
  42798. },
  42799. {
  42800. "ph": "X",
  42801. "cat": "Op",
  42802. "name": "Conv2DBackpropInput",
  42803. "pid": 15,
  42804. "tid": 2,
  42805. "ts": 1539815917094430,
  42806. "dur": 189,
  42807. "args": {
  42808. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42809. "op": "Conv2DBackpropInput"
  42810. }
  42811. },
  42812. {
  42813. "ph": "X",
  42814. "cat": "Op",
  42815. "name": "Conv2DBackpropInput",
  42816. "pid": 15,
  42817. "tid": 2,
  42818. "ts": 1539815917094629,
  42819. "dur": 274,
  42820. "args": {
  42821. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42822. "op": "Conv2DBackpropInput"
  42823. }
  42824. },
  42825. {
  42826. "ph": "X",
  42827. "cat": "Op",
  42828. "name": "Conv2DBackpropInput",
  42829. "pid": 15,
  42830. "tid": 2,
  42831. "ts": 1539815917094906,
  42832. "dur": 18,
  42833. "args": {
  42834. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42835. "op": "Conv2DBackpropInput"
  42836. }
  42837. },
  42838. {
  42839. "ph": "X",
  42840. "cat": "Op",
  42841. "name": "Conv2DBackpropInput",
  42842. "pid": 15,
  42843. "tid": 2,
  42844. "ts": 1539815917094992,
  42845. "dur": 933,
  42846. "args": {
  42847. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42848. "op": "Conv2DBackpropInput"
  42849. }
  42850. },
  42851. {
  42852. "ph": "X",
  42853. "cat": "Op",
  42854. "name": "Conv2DBackpropInput",
  42855. "pid": 15,
  42856. "tid": 0,
  42857. "ts": 1539815917095929,
  42858. "dur": 5,
  42859. "args": {
  42860. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42861. "op": "Conv2DBackpropInput"
  42862. }
  42863. },
  42864. {
  42865. "ph": "X",
  42866. "cat": "Op",
  42867. "name": "Conv2DBackpropInput",
  42868. "pid": 15,
  42869. "tid": 0,
  42870. "ts": 1539815917095938,
  42871. "dur": 429,
  42872. "args": {
  42873. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42874. "op": "Conv2DBackpropInput"
  42875. }
  42876. },
  42877. {
  42878. "ph": "X",
  42879. "cat": "Op",
  42880. "name": "Conv2DBackpropInput",
  42881. "pid": 15,
  42882. "tid": 0,
  42883. "ts": 1539815917096370,
  42884. "dur": 17,
  42885. "args": {
  42886. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42887. "op": "Conv2DBackpropInput"
  42888. }
  42889. },
  42890. {
  42891. "ph": "X",
  42892. "cat": "Op",
  42893. "name": "Conv2DBackpropInput",
  42894. "pid": 15,
  42895. "tid": 1,
  42896. "ts": 1539815917095732,
  42897. "dur": 919,
  42898. "args": {
  42899. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42900. "op": "Conv2DBackpropInput"
  42901. }
  42902. },
  42903. {
  42904. "ph": "X",
  42905. "cat": "Op",
  42906. "name": "Conv2DBackpropInput",
  42907. "pid": 15,
  42908. "tid": 3,
  42909. "ts": 1539815917095743,
  42910. "dur": 4,
  42911. "args": {
  42912. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42913. "op": "Conv2DBackpropInput"
  42914. }
  42915. },
  42916. {
  42917. "ph": "X",
  42918. "cat": "Op",
  42919. "name": "Conv2DBackpropInput",
  42920. "pid": 15,
  42921. "tid": 0,
  42922. "ts": 1539815917096656,
  42923. "dur": 5,
  42924. "args": {
  42925. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42926. "op": "Conv2DBackpropInput"
  42927. }
  42928. },
  42929. {
  42930. "ph": "X",
  42931. "cat": "Op",
  42932. "name": "Conv2DBackpropInput",
  42933. "pid": 15,
  42934. "tid": 0,
  42935. "ts": 1539815917096664,
  42936. "dur": 429,
  42937. "args": {
  42938. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42939. "op": "Conv2DBackpropInput"
  42940. }
  42941. },
  42942. {
  42943. "ph": "X",
  42944. "cat": "Op",
  42945. "name": "Conv2DBackpropInput",
  42946. "pid": 15,
  42947. "tid": 3,
  42948. "ts": 1539815917095767,
  42949. "dur": 215,
  42950. "args": {
  42951. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42952. "op": "Conv2DBackpropInput"
  42953. }
  42954. },
  42955. {
  42956. "ph": "X",
  42957. "cat": "Op",
  42958. "name": "Conv2DBackpropInput",
  42959. "pid": 15,
  42960. "tid": 0,
  42961. "ts": 1539815917097097,
  42962. "dur": 16,
  42963. "args": {
  42964. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  42965. "op": "Conv2DBackpropInput"
  42966. }
  42967. },
  42968. {
  42969. "ph": "X",
  42970. "cat": "Op",
  42971. "name": "FusedBatchNormGrad",
  42972. "pid": 15,
  42973. "tid": 2,
  42974. "ts": 1539815917095985,
  42975. "dur": 3,
  42976. "args": {
  42977. "name": "training/TFOptimizer/gradients/batch_normalization/FusedBatchNorm_grad/FusedBatchNormGrad",
  42978. "op": "FusedBatchNormGrad"
  42979. }
  42980. },
  42981. {
  42982. "ph": "X",
  42983. "cat": "Op",
  42984. "name": "FusedBatchNormGrad",
  42985. "pid": 15,
  42986. "tid": 2,
  42987. "ts": 1539815917095992,
  42988. "dur": 2,
  42989. "args": {
  42990. "name": "training/TFOptimizer/gradients/batch_normalization/FusedBatchNorm_grad/FusedBatchNormGrad",
  42991. "op": "FusedBatchNormGrad"
  42992. }
  42993. },
  42994. {
  42995. "ph": "X",
  42996. "cat": "Op",
  42997. "name": "FusedBatchNormGrad",
  42998. "pid": 15,
  42999. "tid": 2,
  43000. "ts": 1539815917095997,
  43001. "dur": 154,
  43002. "args": {
  43003. "name": "training/TFOptimizer/gradients/batch_normalization/FusedBatchNorm_grad/FusedBatchNormGrad",
  43004. "op": "FusedBatchNormGrad"
  43005. }
  43006. },
  43007. {
  43008. "ph": "X",
  43009. "cat": "Op",
  43010. "name": "ConcatV2",
  43011. "pid": 15,
  43012. "tid": 2,
  43013. "ts": 1539815917096166,
  43014. "dur": 50,
  43015. "args": {
  43016. "name": "training/TFOptimizer/concat",
  43017. "op": "ConcatV2"
  43018. }
  43019. },
  43020. {
  43021. "ph": "X",
  43022. "cat": "Op",
  43023. "name": "Conv2DBackpropInput",
  43024. "pid": 15,
  43025. "tid": 2,
  43026. "ts": 1539815917096432,
  43027. "dur": 925,
  43028. "args": {
  43029. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  43030. "op": "Conv2DBackpropInput"
  43031. }
  43032. },
  43033. {
  43034. "ph": "X",
  43035. "cat": "Op",
  43036. "name": "Conv2DBackpropInput",
  43037. "pid": 15,
  43038. "tid": 0,
  43039. "ts": 1539815917097361,
  43040. "dur": 5,
  43041. "args": {
  43042. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  43043. "op": "Conv2DBackpropInput"
  43044. }
  43045. },
  43046. {
  43047. "ph": "X",
  43048. "cat": "Op",
  43049. "name": "Conv2DBackpropInput",
  43050. "pid": 15,
  43051. "tid": 0,
  43052. "ts": 1539815917097370,
  43053. "dur": 430,
  43054. "args": {
  43055. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  43056. "op": "Conv2DBackpropInput"
  43057. }
  43058. },
  43059. {
  43060. "ph": "X",
  43061. "cat": "Op",
  43062. "name": "Conv2DBackpropInput",
  43063. "pid": 15,
  43064. "tid": 0,
  43065. "ts": 1539815917097803,
  43066. "dur": 16,
  43067. "args": {
  43068. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  43069. "op": "Conv2DBackpropInput"
  43070. }
  43071. },
  43072. {
  43073. "ph": "X",
  43074. "cat": "Op",
  43075. "name": "Conv2DBackpropInput",
  43076. "pid": 15,
  43077. "tid": 1,
  43078. "ts": 1539815917097152,
  43079. "dur": 5,
  43080. "args": {
  43081. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  43082. "op": "Conv2DBackpropInput"
  43083. }
  43084. },
  43085. {
  43086. "ph": "X",
  43087. "cat": "Op",
  43088. "name": "Conv2DBackpropInput",
  43089. "pid": 15,
  43090. "tid": 1,
  43091. "ts": 1539815917097177,
  43092. "dur": 216,
  43093. "args": {
  43094. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  43095. "op": "Conv2DBackpropInput"
  43096. }
  43097. },
  43098. {
  43099. "ph": "X",
  43100. "cat": "Op",
  43101. "name": "FusedBatchNormGrad",
  43102. "pid": 15,
  43103. "tid": 1,
  43104. "ts": 1539815917097396,
  43105. "dur": 4,
  43106. "args": {
  43107. "name": "tower_2/training/TFOptimizer/gradients/tower_2/batch_normalization/FusedBatchNorm_grad/FusedBatchNormGrad",
  43108. "op": "FusedBatchNormGrad"
  43109. }
  43110. },
  43111. {
  43112. "ph": "X",
  43113. "cat": "Op",
  43114. "name": "FusedBatchNormGrad",
  43115. "pid": 15,
  43116. "tid": 1,
  43117. "ts": 1539815917097403,
  43118. "dur": 3,
  43119. "args": {
  43120. "name": "tower_2/training/TFOptimizer/gradients/tower_2/batch_normalization/FusedBatchNorm_grad/FusedBatchNormGrad",
  43121. "op": "FusedBatchNormGrad"
  43122. }
  43123. },
  43124. {
  43125. "ph": "X",
  43126. "cat": "Op",
  43127. "name": "FusedBatchNormGrad",
  43128. "pid": 15,
  43129. "tid": 1,
  43130. "ts": 1539815917097409,
  43131. "dur": 155,
  43132. "args": {
  43133. "name": "tower_2/training/TFOptimizer/gradients/tower_2/batch_normalization/FusedBatchNorm_grad/FusedBatchNormGrad",
  43134. "op": "FusedBatchNormGrad"
  43135. }
  43136. },
  43137. {
  43138. "ph": "X",
  43139. "cat": "Op",
  43140. "name": "ConcatV2",
  43141. "pid": 15,
  43142. "tid": 1,
  43143. "ts": 1539815917097583,
  43144. "dur": 51,
  43145. "args": {
  43146. "name": "training/TFOptimizer/concat_2",
  43147. "op": "ConcatV2"
  43148. }
  43149. },
  43150. {
  43151. "ph": "X",
  43152. "cat": "Op",
  43153. "name": "Conv2DBackpropInput",
  43154. "pid": 15,
  43155. "tid": 0,
  43156. "ts": 1539815917097854,
  43157. "dur": 5,
  43158. "args": {
  43159. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  43160. "op": "Conv2DBackpropInput"
  43161. }
  43162. },
  43163. {
  43164. "ph": "X",
  43165. "cat": "Op",
  43166. "name": "Conv2DBackpropInput",
  43167. "pid": 15,
  43168. "tid": 0,
  43169. "ts": 1539815917097878,
  43170. "dur": 215,
  43171. "args": {
  43172. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  43173. "op": "Conv2DBackpropInput"
  43174. }
  43175. },
  43176. {
  43177. "ph": "X",
  43178. "cat": "Op",
  43179. "name": "FusedBatchNormGrad",
  43180. "pid": 15,
  43181. "tid": 0,
  43182. "ts": 1539815917098096,
  43183. "dur": 3,
  43184. "args": {
  43185. "name": "tower_1/training/TFOptimizer/gradients/tower_1/batch_normalization/FusedBatchNorm_grad/FusedBatchNormGrad",
  43186. "op": "FusedBatchNormGrad"
  43187. }
  43188. },
  43189. {
  43190. "ph": "X",
  43191. "cat": "Op",
  43192. "name": "FusedBatchNormGrad",
  43193. "pid": 15,
  43194. "tid": 0,
  43195. "ts": 1539815917098102,
  43196. "dur": 3,
  43197. "args": {
  43198. "name": "tower_1/training/TFOptimizer/gradients/tower_1/batch_normalization/FusedBatchNorm_grad/FusedBatchNormGrad",
  43199. "op": "FusedBatchNormGrad"
  43200. }
  43201. },
  43202. {
  43203. "ph": "X",
  43204. "cat": "Op",
  43205. "name": "FusedBatchNormGrad",
  43206. "pid": 15,
  43207. "tid": 0,
  43208. "ts": 1539815917098109,
  43209. "dur": 155,
  43210. "args": {
  43211. "name": "tower_1/training/TFOptimizer/gradients/tower_1/batch_normalization/FusedBatchNorm_grad/FusedBatchNormGrad",
  43212. "op": "FusedBatchNormGrad"
  43213. }
  43214. },
  43215. {
  43216. "ph": "X",
  43217. "cat": "Op",
  43218. "name": "ConcatV2",
  43219. "pid": 15,
  43220. "tid": 0,
  43221. "ts": 1539815917098285,
  43222. "dur": 51,
  43223. "args": {
  43224. "name": "training/TFOptimizer/concat_1",
  43225. "op": "ConcatV2"
  43226. }
  43227. },
  43228. {
  43229. "ph": "X",
  43230. "cat": "Op",
  43231. "name": "unknown",
  43232. "pid": 15,
  43233. "tid": 0,
  43234. "ts": 1539815917561816,
  43235. "dur": 199,
  43236. "args": {
  43237. "name": "unknown",
  43238. "op": "unknown"
  43239. }
  43240. },
  43241. {
  43242. "ph": "X",
  43243. "cat": "Op",
  43244. "name": "unknown",
  43245. "pid": 15,
  43246. "tid": 1,
  43247. "ts": 1539815917561833,
  43248. "dur": 181,
  43249. "args": {
  43250. "name": "unknown",
  43251. "op": "unknown"
  43252. }
  43253. },
  43254. {
  43255. "ph": "X",
  43256. "cat": "Op",
  43257. "name": "unknown",
  43258. "pid": 15,
  43259. "tid": 2,
  43260. "ts": 1539815917561848,
  43261. "dur": 166,
  43262. "args": {
  43263. "name": "unknown",
  43264. "op": "unknown"
  43265. }
  43266. },
  43267. {
  43268. "ph": "X",
  43269. "cat": "Op",
  43270. "name": "unknown",
  43271. "pid": 15,
  43272. "tid": 3,
  43273. "ts": 1539815917561860,
  43274. "dur": 154,
  43275. "args": {
  43276. "name": "unknown",
  43277. "op": "unknown"
  43278. }
  43279. },
  43280. {
  43281. "ph": "X",
  43282. "cat": "Op",
  43283. "name": "SplitV",
  43284. "pid": 15,
  43285. "tid": 0,
  43286. "ts": 1539815917563874,
  43287. "dur": 4,
  43288. "args": {
  43289. "name": "training/TFOptimizer/split_7",
  43290. "op": "SplitV"
  43291. }
  43292. },
  43293. {
  43294. "ph": "X",
  43295. "cat": "Op",
  43296. "name": "SplitV",
  43297. "pid": 15,
  43298. "tid": 0,
  43299. "ts": 1539815917563892,
  43300. "dur": 3,
  43301. "args": {
  43302. "name": "training/TFOptimizer/split_7",
  43303. "op": "SplitV"
  43304. }
  43305. },
  43306. {
  43307. "ph": "X",
  43308. "cat": "Op",
  43309. "name": "SplitV",
  43310. "pid": 15,
  43311. "tid": 1,
  43312. "ts": 1539815917563893,
  43313. "dur": 4,
  43314. "args": {
  43315. "name": "training/TFOptimizer/split_4",
  43316. "op": "SplitV"
  43317. }
  43318. },
  43319. {
  43320. "ph": "X",
  43321. "cat": "Op",
  43322. "name": "SplitV",
  43323. "pid": 15,
  43324. "tid": 0,
  43325. "ts": 1539815917563904,
  43326. "dur": 3,
  43327. "args": {
  43328. "name": "training/TFOptimizer/split_7",
  43329. "op": "SplitV"
  43330. }
  43331. },
  43332. {
  43333. "ph": "X",
  43334. "cat": "Op",
  43335. "name": "SplitV",
  43336. "pid": 15,
  43337. "tid": 0,
  43338. "ts": 1539815917563910,
  43339. "dur": 3,
  43340. "args": {
  43341. "name": "training/TFOptimizer/split_4",
  43342. "op": "SplitV"
  43343. }
  43344. },
  43345. {
  43346. "ph": "X",
  43347. "cat": "Op",
  43348. "name": "SplitV",
  43349. "pid": 15,
  43350. "tid": 0,
  43351. "ts": 1539815917563916,
  43352. "dur": 3,
  43353. "args": {
  43354. "name": "training/TFOptimizer/split_6",
  43355. "op": "SplitV"
  43356. }
  43357. },
  43358. {
  43359. "ph": "X",
  43360. "cat": "Op",
  43361. "name": "SplitV",
  43362. "pid": 15,
  43363. "tid": 1,
  43364. "ts": 1539815917563919,
  43365. "dur": 3,
  43366. "args": {
  43367. "name": "training/TFOptimizer/split_7",
  43368. "op": "SplitV"
  43369. }
  43370. },
  43371. {
  43372. "ph": "X",
  43373. "cat": "Op",
  43374. "name": "SplitV",
  43375. "pid": 15,
  43376. "tid": 0,
  43377. "ts": 1539815917563923,
  43378. "dur": 4,
  43379. "args": {
  43380. "name": "training/TFOptimizer/split_4",
  43381. "op": "SplitV"
  43382. }
  43383. },
  43384. {
  43385. "ph": "X",
  43386. "cat": "Op",
  43387. "name": "SplitV",
  43388. "pid": 15,
  43389. "tid": 0,
  43390. "ts": 1539815917563931,
  43391. "dur": 2,
  43392. "args": {
  43393. "name": "training/TFOptimizer/split_7",
  43394. "op": "SplitV"
  43395. }
  43396. },
  43397. {
  43398. "ph": "X",
  43399. "cat": "Op",
  43400. "name": "SplitV",
  43401. "pid": 15,
  43402. "tid": 0,
  43403. "ts": 1539815917563934,
  43404. "dur": 3,
  43405. "args": {
  43406. "name": "training/TFOptimizer/split_4",
  43407. "op": "SplitV"
  43408. }
  43409. },
  43410. {
  43411. "ph": "X",
  43412. "cat": "Op",
  43413. "name": "SplitV",
  43414. "pid": 15,
  43415. "tid": 1,
  43416. "ts": 1539815917563936,
  43417. "dur": 3,
  43418. "args": {
  43419. "name": "training/TFOptimizer/split_6",
  43420. "op": "SplitV"
  43421. }
  43422. },
  43423. {
  43424. "ph": "X",
  43425. "cat": "Op",
  43426. "name": "SplitV",
  43427. "pid": 15,
  43428. "tid": 0,
  43429. "ts": 1539815917563941,
  43430. "dur": 4,
  43431. "args": {
  43432. "name": "training/TFOptimizer/split_5",
  43433. "op": "SplitV"
  43434. }
  43435. },
  43436. {
  43437. "ph": "X",
  43438. "cat": "Op",
  43439. "name": "SplitV",
  43440. "pid": 15,
  43441. "tid": 1,
  43442. "ts": 1539815917563941,
  43443. "dur": 3,
  43444. "args": {
  43445. "name": "training/TFOptimizer/split_7",
  43446. "op": "SplitV"
  43447. }
  43448. },
  43449. {
  43450. "ph": "X",
  43451. "cat": "Op",
  43452. "name": "SplitV",
  43453. "pid": 15,
  43454. "tid": 0,
  43455. "ts": 1539815917563946,
  43456. "dur": 3,
  43457. "args": {
  43458. "name": "training/TFOptimizer/split_4",
  43459. "op": "SplitV"
  43460. }
  43461. },
  43462. {
  43463. "ph": "X",
  43464. "cat": "Op",
  43465. "name": "SplitV",
  43466. "pid": 15,
  43467. "tid": 0,
  43468. "ts": 1539815917563950,
  43469. "dur": 3,
  43470. "args": {
  43471. "name": "training/TFOptimizer/split_6",
  43472. "op": "SplitV"
  43473. }
  43474. },
  43475. {
  43476. "ph": "X",
  43477. "cat": "Op",
  43478. "name": "SplitV",
  43479. "pid": 15,
  43480. "tid": 1,
  43481. "ts": 1539815917563953,
  43482. "dur": 5,
  43483. "args": {
  43484. "name": "training/TFOptimizer/split_7",
  43485. "op": "SplitV"
  43486. }
  43487. },
  43488. {
  43489. "ph": "X",
  43490. "cat": "Op",
  43491. "name": "SplitV",
  43492. "pid": 15,
  43493. "tid": 0,
  43494. "ts": 1539815917563962,
  43495. "dur": 2,
  43496. "args": {
  43497. "name": "training/TFOptimizer/split_6",
  43498. "op": "SplitV"
  43499. }
  43500. },
  43501. {
  43502. "ph": "X",
  43503. "cat": "Op",
  43504. "name": "SplitV",
  43505. "pid": 15,
  43506. "tid": 0,
  43507. "ts": 1539815917563967,
  43508. "dur": 3,
  43509. "args": {
  43510. "name": "training/TFOptimizer/split_7",
  43511. "op": "SplitV"
  43512. }
  43513. },
  43514. {
  43515. "ph": "X",
  43516. "cat": "Op",
  43517. "name": "SplitV",
  43518. "pid": 15,
  43519. "tid": 1,
  43520. "ts": 1539815917563965,
  43521. "dur": 3,
  43522. "args": {
  43523. "name": "training/TFOptimizer/split_5",
  43524. "op": "SplitV"
  43525. }
  43526. },
  43527. {
  43528. "ph": "X",
  43529. "cat": "Op",
  43530. "name": "SplitV",
  43531. "pid": 15,
  43532. "tid": 1,
  43533. "ts": 1539815917563970,
  43534. "dur": 3,
  43535. "args": {
  43536. "name": "training/TFOptimizer/split_4",
  43537. "op": "SplitV"
  43538. }
  43539. },
  43540. {
  43541. "ph": "X",
  43542. "cat": "Op",
  43543. "name": "SplitV",
  43544. "pid": 15,
  43545. "tid": 0,
  43546. "ts": 1539815917563973,
  43547. "dur": 3,
  43548. "args": {
  43549. "name": "training/TFOptimizer/split_6",
  43550. "op": "SplitV"
  43551. }
  43552. },
  43553. {
  43554. "ph": "X",
  43555. "cat": "Op",
  43556. "name": "SplitV",
  43557. "pid": 15,
  43558. "tid": 0,
  43559. "ts": 1539815917563978,
  43560. "dur": 2,
  43561. "args": {
  43562. "name": "training/TFOptimizer/split_7",
  43563. "op": "SplitV"
  43564. }
  43565. },
  43566. {
  43567. "ph": "X",
  43568. "cat": "Op",
  43569. "name": "SplitV",
  43570. "pid": 15,
  43571. "tid": 0,
  43572. "ts": 1539815917563982,
  43573. "dur": 4,
  43574. "args": {
  43575. "name": "training/TFOptimizer/split_4",
  43576. "op": "SplitV"
  43577. }
  43578. },
  43579. {
  43580. "ph": "X",
  43581. "cat": "Op",
  43582. "name": "SplitV",
  43583. "pid": 15,
  43584. "tid": 1,
  43585. "ts": 1539815917563982,
  43586. "dur": 3,
  43587. "args": {
  43588. "name": "training/TFOptimizer/split_5",
  43589. "op": "SplitV"
  43590. }
  43591. },
  43592. {
  43593. "ph": "X",
  43594. "cat": "Op",
  43595. "name": "SplitV",
  43596. "pid": 15,
  43597. "tid": 2,
  43598. "ts": 1539815917563984,
  43599. "dur": 3,
  43600. "args": {
  43601. "name": "training/TFOptimizer/split_6",
  43602. "op": "SplitV"
  43603. }
  43604. },
  43605. {
  43606. "ph": "X",
  43607. "cat": "Op",
  43608. "name": "SplitV",
  43609. "pid": 15,
  43610. "tid": 0,
  43611. "ts": 1539815917563988,
  43612. "dur": 3,
  43613. "args": {
  43614. "name": "training/TFOptimizer/split_7",
  43615. "op": "SplitV"
  43616. }
  43617. },
  43618. {
  43619. "ph": "X",
  43620. "cat": "Op",
  43621. "name": "SplitV",
  43622. "pid": 15,
  43623. "tid": 0,
  43624. "ts": 1539815917563994,
  43625. "dur": 3,
  43626. "args": {
  43627. "name": "training/TFOptimizer/split_4",
  43628. "op": "SplitV"
  43629. }
  43630. },
  43631. {
  43632. "ph": "X",
  43633. "cat": "Op",
  43634. "name": "SplitV",
  43635. "pid": 15,
  43636. "tid": 1,
  43637. "ts": 1539815917563995,
  43638. "dur": 3,
  43639. "args": {
  43640. "name": "training/TFOptimizer/split_5",
  43641. "op": "SplitV"
  43642. }
  43643. },
  43644. {
  43645. "ph": "X",
  43646. "cat": "Op",
  43647. "name": "SplitV",
  43648. "pid": 15,
  43649. "tid": 2,
  43650. "ts": 1539815917563996,
  43651. "dur": 4,
  43652. "args": {
  43653. "name": "training/TFOptimizer/split_6",
  43654. "op": "SplitV"
  43655. }
  43656. },
  43657. {
  43658. "ph": "X",
  43659. "cat": "Op",
  43660. "name": "SplitV",
  43661. "pid": 15,
  43662. "tid": 0,
  43663. "ts": 1539815917564001,
  43664. "dur": 11,
  43665. "args": {
  43666. "name": "training/TFOptimizer/split_7",
  43667. "op": "SplitV"
  43668. }
  43669. },
  43670. {
  43671. "ph": "X",
  43672. "cat": "Op",
  43673. "name": "SplitV",
  43674. "pid": 15,
  43675. "tid": 1,
  43676. "ts": 1539815917564007,
  43677. "dur": 3,
  43678. "args": {
  43679. "name": "training/TFOptimizer/split_4",
  43680. "op": "SplitV"
  43681. }
  43682. },
  43683. {
  43684. "ph": "X",
  43685. "cat": "Op",
  43686. "name": "SplitV",
  43687. "pid": 15,
  43688. "tid": 2,
  43689. "ts": 1539815917564008,
  43690. "dur": 3,
  43691. "args": {
  43692. "name": "training/TFOptimizer/split_5",
  43693. "op": "SplitV"
  43694. }
  43695. },
  43696. {
  43697. "ph": "X",
  43698. "cat": "Op",
  43699. "name": "SplitV",
  43700. "pid": 15,
  43701. "tid": 3,
  43702. "ts": 1539815917564010,
  43703. "dur": 3,
  43704. "args": {
  43705. "name": "training/TFOptimizer/split_6",
  43706. "op": "SplitV"
  43707. }
  43708. },
  43709. {
  43710. "ph": "X",
  43711. "cat": "Op",
  43712. "name": "SplitV",
  43713. "pid": 15,
  43714. "tid": 0,
  43715. "ts": 1539815917564017,
  43716. "dur": 3,
  43717. "args": {
  43718. "name": "training/TFOptimizer/split_4",
  43719. "op": "SplitV"
  43720. }
  43721. },
  43722. {
  43723. "ph": "X",
  43724. "cat": "Op",
  43725. "name": "SplitV",
  43726. "pid": 15,
  43727. "tid": 0,
  43728. "ts": 1539815917564022,
  43729. "dur": 2,
  43730. "args": {
  43731. "name": "training/TFOptimizer/split_6",
  43732. "op": "SplitV"
  43733. }
  43734. },
  43735. {
  43736. "ph": "X",
  43737. "cat": "Op",
  43738. "name": "SplitV",
  43739. "pid": 15,
  43740. "tid": 0,
  43741. "ts": 1539815917564025,
  43742. "dur": 3,
  43743. "args": {
  43744. "name": "training/TFOptimizer/split_7",
  43745. "op": "SplitV"
  43746. }
  43747. },
  43748. {
  43749. "ph": "X",
  43750. "cat": "Op",
  43751. "name": "SplitV",
  43752. "pid": 15,
  43753. "tid": 0,
  43754. "ts": 1539815917564037,
  43755. "dur": 13,
  43756. "args": {
  43757. "name": "training/TFOptimizer/split_4",
  43758. "op": "SplitV"
  43759. }
  43760. },
  43761. {
  43762. "ph": "X",
  43763. "cat": "Op",
  43764. "name": "SplitV",
  43765. "pid": 15,
  43766. "tid": 1,
  43767. "ts": 1539815917564038,
  43768. "dur": 8,
  43769. "args": {
  43770. "name": "training/TFOptimizer/split_7",
  43771. "op": "SplitV"
  43772. }
  43773. },
  43774. {
  43775. "ph": "X",
  43776. "cat": "Op",
  43777. "name": "SplitV",
  43778. "pid": 15,
  43779. "tid": 2,
  43780. "ts": 1539815917564044,
  43781. "dur": 3,
  43782. "args": {
  43783. "name": "training/TFOptimizer/split_5",
  43784. "op": "SplitV"
  43785. }
  43786. },
  43787. {
  43788. "ph": "X",
  43789. "cat": "Op",
  43790. "name": "SplitV",
  43791. "pid": 15,
  43792. "tid": 0,
  43793. "ts": 1539815917564054,
  43794. "dur": 3,
  43795. "args": {
  43796. "name": "training/TFOptimizer/split_4",
  43797. "op": "SplitV"
  43798. }
  43799. },
  43800. {
  43801. "ph": "X",
  43802. "cat": "Op",
  43803. "name": "SplitV",
  43804. "pid": 15,
  43805. "tid": 0,
  43806. "ts": 1539815917564059,
  43807. "dur": 4,
  43808. "args": {
  43809. "name": "training/TFOptimizer/split_5",
  43810. "op": "SplitV"
  43811. }
  43812. },
  43813. {
  43814. "ph": "X",
  43815. "cat": "Op",
  43816. "name": "SplitV",
  43817. "pid": 15,
  43818. "tid": 1,
  43819. "ts": 1539815917564061,
  43820. "dur": 3,
  43821. "args": {
  43822. "name": "training/TFOptimizer/split_6",
  43823. "op": "SplitV"
  43824. }
  43825. },
  43826. {
  43827. "ph": "X",
  43828. "cat": "Op",
  43829. "name": "SplitV",
  43830. "pid": 15,
  43831. "tid": 0,
  43832. "ts": 1539815917564066,
  43833. "dur": 9,
  43834. "args": {
  43835. "name": "training/TFOptimizer/split_4",
  43836. "op": "SplitV"
  43837. }
  43838. },
  43839. {
  43840. "ph": "X",
  43841. "cat": "Op",
  43842. "name": "SplitV",
  43843. "pid": 15,
  43844. "tid": 1,
  43845. "ts": 1539815917564070,
  43846. "dur": 3,
  43847. "args": {
  43848. "name": "training/TFOptimizer/split_5",
  43849. "op": "SplitV"
  43850. }
  43851. },
  43852. {
  43853. "ph": "X",
  43854. "cat": "Op",
  43855. "name": "SplitV",
  43856. "pid": 15,
  43857. "tid": 0,
  43858. "ts": 1539815917564104,
  43859. "dur": 3,
  43860. "args": {
  43861. "name": "training/TFOptimizer/split_5",
  43862. "op": "SplitV"
  43863. }
  43864. },
  43865. {
  43866. "ph": "X",
  43867. "cat": "Op",
  43868. "name": "SplitV",
  43869. "pid": 15,
  43870. "tid": 2,
  43871. "ts": 1539815917564071,
  43872. "dur": 3,
  43873. "args": {
  43874. "name": "training/TFOptimizer/split_7",
  43875. "op": "SplitV"
  43876. }
  43877. },
  43878. {
  43879. "ph": "X",
  43880. "cat": "Op",
  43881. "name": "SplitV",
  43882. "pid": 15,
  43883. "tid": 0,
  43884. "ts": 1539815917564114,
  43885. "dur": 3,
  43886. "args": {
  43887. "name": "training/TFOptimizer/split_5",
  43888. "op": "SplitV"
  43889. }
  43890. },
  43891. {
  43892. "ph": "X",
  43893. "cat": "Op",
  43894. "name": "SplitV",
  43895. "pid": 15,
  43896. "tid": 1,
  43897. "ts": 1539815917564077,
  43898. "dur": 12,
  43899. "args": {
  43900. "name": "training/TFOptimizer/split_6",
  43901. "op": "SplitV"
  43902. }
  43903. },
  43904. {
  43905. "ph": "X",
  43906. "cat": "Op",
  43907. "name": "SplitV",
  43908. "pid": 15,
  43909. "tid": 0,
  43910. "ts": 1539815917564125,
  43911. "dur": 12,
  43912. "args": {
  43913. "name": "training/TFOptimizer/split_5",
  43914. "op": "SplitV"
  43915. }
  43916. },
  43917. {
  43918. "ph": "X",
  43919. "cat": "Op",
  43920. "name": "SplitV",
  43921. "pid": 15,
  43922. "tid": 1,
  43923. "ts": 1539815917564125,
  43924. "dur": 4,
  43925. "args": {
  43926. "name": "training/TFOptimizer/split_7",
  43927. "op": "SplitV"
  43928. }
  43929. },
  43930. {
  43931. "ph": "X",
  43932. "cat": "Op",
  43933. "name": "SplitV",
  43934. "pid": 15,
  43935. "tid": 2,
  43936. "ts": 1539815917564078,
  43937. "dur": 4,
  43938. "args": {
  43939. "name": "training/TFOptimizer/split_4",
  43940. "op": "SplitV"
  43941. }
  43942. },
  43943. {
  43944. "ph": "X",
  43945. "cat": "Op",
  43946. "name": "SplitV",
  43947. "pid": 15,
  43948. "tid": 0,
  43949. "ts": 1539815917564141,
  43950. "dur": 4,
  43951. "args": {
  43952. "name": "training/TFOptimizer/split_5",
  43953. "op": "SplitV"
  43954. }
  43955. },
  43956. {
  43957. "ph": "X",
  43958. "cat": "Op",
  43959. "name": "SplitV",
  43960. "pid": 15,
  43961. "tid": 1,
  43962. "ts": 1539815917564145,
  43963. "dur": 3,
  43964. "args": {
  43965. "name": "training/TFOptimizer/split_6",
  43966. "op": "SplitV"
  43967. }
  43968. },
  43969. {
  43970. "ph": "X",
  43971. "cat": "Op",
  43972. "name": "SplitV",
  43973. "pid": 15,
  43974. "tid": 0,
  43975. "ts": 1539815917564153,
  43976. "dur": 3,
  43977. "args": {
  43978. "name": "training/TFOptimizer/split_7",
  43979. "op": "SplitV"
  43980. }
  43981. },
  43982. {
  43983. "ph": "X",
  43984. "cat": "Op",
  43985. "name": "SplitV",
  43986. "pid": 15,
  43987. "tid": 1,
  43988. "ts": 1539815917564154,
  43989. "dur": 3,
  43990. "args": {
  43991. "name": "training/TFOptimizer/split_4",
  43992. "op": "SplitV"
  43993. }
  43994. },
  43995. {
  43996. "ph": "X",
  43997. "cat": "Op",
  43998. "name": "SplitV",
  43999. "pid": 15,
  44000. "tid": 0,
  44001. "ts": 1539815917564157,
  44002. "dur": 9,
  44003. "args": {
  44004. "name": "training/TFOptimizer/split_6",
  44005. "op": "SplitV"
  44006. }
  44007. },
  44008. {
  44009. "ph": "X",
  44010. "cat": "Op",
  44011. "name": "SplitV",
  44012. "pid": 15,
  44013. "tid": 1,
  44014. "ts": 1539815917564162,
  44015. "dur": 9,
  44016. "args": {
  44017. "name": "training/TFOptimizer/split_5",
  44018. "op": "SplitV"
  44019. }
  44020. },
  44021. {
  44022. "ph": "X",
  44023. "cat": "Op",
  44024. "name": "SplitV",
  44025. "pid": 15,
  44026. "tid": 2,
  44027. "ts": 1539815917564165,
  44028. "dur": 3,
  44029. "args": {
  44030. "name": "training/TFOptimizer/split_4",
  44031. "op": "SplitV"
  44032. }
  44033. },
  44034. {
  44035. "ph": "X",
  44036. "cat": "Op",
  44037. "name": "SplitV",
  44038. "pid": 15,
  44039. "tid": 0,
  44040. "ts": 1539815917564171,
  44041. "dur": 3,
  44042. "args": {
  44043. "name": "training/TFOptimizer/split_6",
  44044. "op": "SplitV"
  44045. }
  44046. },
  44047. {
  44048. "ph": "X",
  44049. "cat": "Op",
  44050. "name": "SplitV",
  44051. "pid": 15,
  44052. "tid": 0,
  44053. "ts": 1539815917564175,
  44054. "dur": 4,
  44055. "args": {
  44056. "name": "training/TFOptimizer/split_5",
  44057. "op": "SplitV"
  44058. }
  44059. },
  44060. {
  44061. "ph": "X",
  44062. "cat": "Op",
  44063. "name": "SplitV",
  44064. "pid": 15,
  44065. "tid": 0,
  44066. "ts": 1539815917564182,
  44067. "dur": 3,
  44068. "args": {
  44069. "name": "training/TFOptimizer/split_6",
  44070. "op": "SplitV"
  44071. }
  44072. },
  44073. {
  44074. "ph": "X",
  44075. "cat": "Op",
  44076. "name": "SplitV",
  44077. "pid": 15,
  44078. "tid": 0,
  44079. "ts": 1539815917564187,
  44080. "dur": 3,
  44081. "args": {
  44082. "name": "training/TFOptimizer/split_5",
  44083. "op": "SplitV"
  44084. }
  44085. },
  44086. {
  44087. "ph": "X",
  44088. "cat": "Op",
  44089. "name": "SplitV",
  44090. "pid": 15,
  44091. "tid": 0,
  44092. "ts": 1539815917564191,
  44093. "dur": 3,
  44094. "args": {
  44095. "name": "training/TFOptimizer/split_6",
  44096. "op": "SplitV"
  44097. }
  44098. },
  44099. {
  44100. "ph": "X",
  44101. "cat": "Op",
  44102. "name": "SplitV",
  44103. "pid": 15,
  44104. "tid": 0,
  44105. "ts": 1539815917564197,
  44106. "dur": 3,
  44107. "args": {
  44108. "name": "training/TFOptimizer/split_5",
  44109. "op": "SplitV"
  44110. }
  44111. },
  44112. {
  44113. "ph": "X",
  44114. "cat": "Op",
  44115. "name": "ResourceApplyAdam",
  44116. "pid": 15,
  44117. "tid": 0,
  44118. "ts": 1539815917568289,
  44119. "dur": 4,
  44120. "args": {
  44121. "name": "training/TFOptimizer/Adam/update_1/update_batch_normalization/gamma/replica_1/ResourceApplyAdam",
  44122. "op": "ResourceApplyAdam"
  44123. }
  44124. },
  44125. {
  44126. "ph": "X",
  44127. "cat": "Op",
  44128. "name": "ResourceApplyAdam",
  44129. "pid": 15,
  44130. "tid": 0,
  44131. "ts": 1539815917568297,
  44132. "dur": 4,
  44133. "args": {
  44134. "name": "training/TFOptimizer/Adam/update_0/update_batch_normalization/gamma/ResourceApplyAdam",
  44135. "op": "ResourceApplyAdam"
  44136. }
  44137. },
  44138. {
  44139. "ph": "X",
  44140. "cat": "Op",
  44141. "name": "ResourceApplyAdam",
  44142. "pid": 15,
  44143. "tid": 0,
  44144. "ts": 1539815917568306,
  44145. "dur": 5,
  44146. "args": {
  44147. "name": "training/TFOptimizer/Adam/update_1/update_batch_normalization/gamma/replica_1/ResourceApplyAdam",
  44148. "op": "ResourceApplyAdam"
  44149. }
  44150. },
  44151. {
  44152. "ph": "X",
  44153. "cat": "Op",
  44154. "name": "ResourceApplyAdam",
  44155. "pid": 15,
  44156. "tid": 1,
  44157. "ts": 1539815917568308,
  44158. "dur": 4,
  44159. "args": {
  44160. "name": "training/TFOptimizer/Adam/update_0/update_batch_normalization/gamma/ResourceApplyAdam",
  44161. "op": "ResourceApplyAdam"
  44162. }
  44163. },
  44164. {
  44165. "ph": "X",
  44166. "cat": "Op",
  44167. "name": "ResourceApplyAdam",
  44168. "pid": 15,
  44169. "tid": 0,
  44170. "ts": 1539815917568319,
  44171. "dur": 4,
  44172. "args": {
  44173. "name": "training/TFOptimizer/Adam/update_3_9/update_batch_normalization_2/beta/replica_3/ResourceApplyAdam",
  44174. "op": "ResourceApplyAdam"
  44175. }
  44176. },
  44177. {
  44178. "ph": "X",
  44179. "cat": "Op",
  44180. "name": "ResourceApplyAdam",
  44181. "pid": 15,
  44182. "tid": 1,
  44183. "ts": 1539815917568321,
  44184. "dur": 3,
  44185. "args": {
  44186. "name": "training/TFOptimizer/Adam/update_2_11/update_conv2d_2/bias/replica_2/ResourceApplyAdam",
  44187. "op": "ResourceApplyAdam"
  44188. }
  44189. },
  44190. {
  44191. "ph": "X",
  44192. "cat": "Op",
  44193. "name": "ResourceApplyAdam",
  44194. "pid": 15,
  44195. "tid": 2,
  44196. "ts": 1539815917568322,
  44197. "dur": 5,
  44198. "args": {
  44199. "name": "training/TFOptimizer/Adam/update_0/update_batch_normalization/gamma/ResourceApplyAdam",
  44200. "op": "ResourceApplyAdam"
  44201. }
  44202. },
  44203. {
  44204. "ph": "X",
  44205. "cat": "Op",
  44206. "name": "ResourceApplyAdam",
  44207. "pid": 15,
  44208. "tid": 0,
  44209. "ts": 1539815917568329,
  44210. "dur": 6,
  44211. "args": {
  44212. "name": "training/TFOptimizer/Adam/update_1/update_batch_normalization/gamma/replica_1/ResourceApplyAdam",
  44213. "op": "ResourceApplyAdam"
  44214. }
  44215. },
  44216. {
  44217. "ph": "X",
  44218. "cat": "Op",
  44219. "name": "ResourceApplyAdam",
  44220. "pid": 15,
  44221. "tid": 1,
  44222. "ts": 1539815917568331,
  44223. "dur": 3,
  44224. "args": {
  44225. "name": "training/TFOptimizer/Adam/update_3_9/update_batch_normalization_2/beta/replica_3/ResourceApplyAdam",
  44226. "op": "ResourceApplyAdam"
  44227. }
  44228. },
  44229. {
  44230. "ph": "X",
  44231. "cat": "Op",
  44232. "name": "ResourceApplyAdam",
  44233. "pid": 15,
  44234. "tid": 0,
  44235. "ts": 1539815917568347,
  44236. "dur": 4,
  44237. "args": {
  44238. "name": "training/TFOptimizer/Adam/update_2_11/update_conv2d_2/bias/replica_2/ResourceApplyAdam",
  44239. "op": "ResourceApplyAdam"
  44240. }
  44241. },
  44242. {
  44243. "ph": "X",
  44244. "cat": "Op",
  44245. "name": "ResourceApplyAdam",
  44246. "pid": 15,
  44247. "tid": 0,
  44248. "ts": 1539815917568414,
  44249. "dur": 6,
  44250. "args": {
  44251. "name": "training/TFOptimizer/Adam/update_3_9/update_batch_normalization_2/beta/replica_3/ResourceApplyAdam",
  44252. "op": "ResourceApplyAdam"
  44253. }
  44254. },
  44255. {
  44256. "ph": "X",
  44257. "cat": "Op",
  44258. "name": "ResourceApplyAdam",
  44259. "pid": 15,
  44260. "tid": 0,
  44261. "ts": 1539815917568440,
  44262. "dur": 6,
  44263. "args": {
  44264. "name": "training/TFOptimizer/Adam/update_2_11/update_conv2d_2/bias/replica_2/ResourceApplyAdam",
  44265. "op": "ResourceApplyAdam"
  44266. }
  44267. },
  44268. {
  44269. "ph": "X",
  44270. "cat": "Op",
  44271. "name": "ResourceApplyAdam",
  44272. "pid": 15,
  44273. "tid": 0,
  44274. "ts": 1539815917568478,
  44275. "dur": 3,
  44276. "args": {
  44277. "name": "training/TFOptimizer/Adam/update_0_1/update_batch_normalization/beta/ResourceApplyAdam",
  44278. "op": "ResourceApplyAdam"
  44279. }
  44280. },
  44281. {
  44282. "ph": "X",
  44283. "cat": "Op",
  44284. "name": "ResourceApplyAdam",
  44285. "pid": 15,
  44286. "tid": 1,
  44287. "ts": 1539815917568478,
  44288. "dur": 4,
  44289. "args": {
  44290. "name": "training/TFOptimizer/Adam/update_1_1/update_batch_normalization/beta/replica_1/ResourceApplyAdam",
  44291. "op": "ResourceApplyAdam"
  44292. }
  44293. },
  44294. {
  44295. "ph": "X",
  44296. "cat": "Op",
  44297. "name": "ResourceApplyAdam",
  44298. "pid": 15,
  44299. "tid": 0,
  44300. "ts": 1539815917568495,
  44301. "dur": 3,
  44302. "args": {
  44303. "name": "training/TFOptimizer/Adam/update_0_1/update_batch_normalization/beta/ResourceApplyAdam",
  44304. "op": "ResourceApplyAdam"
  44305. }
  44306. },
  44307. {
  44308. "ph": "X",
  44309. "cat": "Op",
  44310. "name": "ResourceApplyAdam",
  44311. "pid": 15,
  44312. "tid": 0,
  44313. "ts": 1539815917568518,
  44314. "dur": 4,
  44315. "args": {
  44316. "name": "training/TFOptimizer/Adam/update_1_1/update_batch_normalization/beta/replica_1/ResourceApplyAdam",
  44317. "op": "ResourceApplyAdam"
  44318. }
  44319. },
  44320. {
  44321. "ph": "X",
  44322. "cat": "Op",
  44323. "name": "ResourceApplyAdam",
  44324. "pid": 15,
  44325. "tid": 0,
  44326. "ts": 1539815917568535,
  44327. "dur": 4,
  44328. "args": {
  44329. "name": "training/TFOptimizer/Adam/update_0_1/update_batch_normalization/beta/ResourceApplyAdam",
  44330. "op": "ResourceApplyAdam"
  44331. }
  44332. },
  44333. {
  44334. "ph": "X",
  44335. "cat": "Op",
  44336. "name": "ResourceApplyAdam",
  44337. "pid": 15,
  44338. "tid": 1,
  44339. "ts": 1539815917568538,
  44340. "dur": 4,
  44341. "args": {
  44342. "name": "training/TFOptimizer/Adam/update_2_13/update_dense/bias/replica_2/ResourceApplyAdam",
  44343. "op": "ResourceApplyAdam"
  44344. }
  44345. },
  44346. {
  44347. "ph": "X",
  44348. "cat": "Op",
  44349. "name": "ResourceApplyAdam",
  44350. "pid": 15,
  44351. "tid": 2,
  44352. "ts": 1539815917568539,
  44353. "dur": 4,
  44354. "args": {
  44355. "name": "training/TFOptimizer/Adam/update_3/update_batch_normalization/gamma/replica_3/ResourceApplyAdam",
  44356. "op": "ResourceApplyAdam"
  44357. }
  44358. },
  44359. {
  44360. "ph": "X",
  44361. "cat": "Op",
  44362. "name": "ResourceApplyAdam",
  44363. "pid": 15,
  44364. "tid": 0,
  44365. "ts": 1539815917568543,
  44366. "dur": 4,
  44367. "args": {
  44368. "name": "training/TFOptimizer/Adam/update_1_1/update_batch_normalization/beta/replica_1/ResourceApplyAdam",
  44369. "op": "ResourceApplyAdam"
  44370. }
  44371. },
  44372. {
  44373. "ph": "X",
  44374. "cat": "Op",
  44375. "name": "ResourceApplyAdam",
  44376. "pid": 15,
  44377. "tid": 0,
  44378. "ts": 1539815917568548,
  44379. "dur": 4,
  44380. "args": {
  44381. "name": "training/TFOptimizer/Adam/update_2_13/update_dense/bias/replica_2/ResourceApplyAdam",
  44382. "op": "ResourceApplyAdam"
  44383. }
  44384. },
  44385. {
  44386. "ph": "X",
  44387. "cat": "Op",
  44388. "name": "ResourceApplyAdam",
  44389. "pid": 15,
  44390. "tid": 1,
  44391. "ts": 1539815917568550,
  44392. "dur": 3,
  44393. "args": {
  44394. "name": "training/TFOptimizer/Adam/update_3/update_batch_normalization/gamma/replica_3/ResourceApplyAdam",
  44395. "op": "ResourceApplyAdam"
  44396. }
  44397. },
  44398. {
  44399. "ph": "X",
  44400. "cat": "Op",
  44401. "name": "ResourceApplyAdam",
  44402. "pid": 15,
  44403. "tid": 0,
  44404. "ts": 1539815917568560,
  44405. "dur": 5,
  44406. "args": {
  44407. "name": "training/TFOptimizer/Adam/update_2_13/update_dense/bias/replica_2/ResourceApplyAdam",
  44408. "op": "ResourceApplyAdam"
  44409. }
  44410. },
  44411. {
  44412. "ph": "X",
  44413. "cat": "Op",
  44414. "name": "ResourceApplyAdam",
  44415. "pid": 15,
  44416. "tid": 1,
  44417. "ts": 1539815917568562,
  44418. "dur": 4,
  44419. "args": {
  44420. "name": "training/TFOptimizer/Adam/update_3/update_batch_normalization/gamma/replica_3/ResourceApplyAdam",
  44421. "op": "ResourceApplyAdam"
  44422. }
  44423. },
  44424. {
  44425. "ph": "X",
  44426. "cat": "Op",
  44427. "name": "ResourceApplyAdam",
  44428. "pid": 15,
  44429. "tid": 0,
  44430. "ts": 1539815917568631,
  44431. "dur": 4,
  44432. "args": {
  44433. "name": "training/TFOptimizer/Adam/update_1_11/update_conv2d_2/bias/replica_1/ResourceApplyAdam",
  44434. "op": "ResourceApplyAdam"
  44435. }
  44436. },
  44437. {
  44438. "ph": "X",
  44439. "cat": "Op",
  44440. "name": "ResourceApplyAdam",
  44441. "pid": 15,
  44442. "tid": 0,
  44443. "ts": 1539815917568637,
  44444. "dur": 4,
  44445. "args": {
  44446. "name": "training/TFOptimizer/Adam/update_2_15/update_dense_1/bias/replica_2/ResourceApplyAdam",
  44447. "op": "ResourceApplyAdam"
  44448. }
  44449. },
  44450. {
  44451. "ph": "X",
  44452. "cat": "Op",
  44453. "name": "ResourceApplyAdam",
  44454. "pid": 15,
  44455. "tid": 1,
  44456. "ts": 1539815917568639,
  44457. "dur": 3,
  44458. "args": {
  44459. "name": "training/TFOptimizer/Adam/update_0_11/update_conv2d_2/bias/ResourceApplyAdam",
  44460. "op": "ResourceApplyAdam"
  44461. }
  44462. },
  44463. {
  44464. "ph": "X",
  44465. "cat": "Op",
  44466. "name": "ResourceApplyAdam",
  44467. "pid": 15,
  44468. "tid": 2,
  44469. "ts": 1539815917568641,
  44470. "dur": 4,
  44471. "args": {
  44472. "name": "training/TFOptimizer/Adam/update_1_11/update_conv2d_2/bias/replica_1/ResourceApplyAdam",
  44473. "op": "ResourceApplyAdam"
  44474. }
  44475. },
  44476. {
  44477. "ph": "X",
  44478. "cat": "Op",
  44479. "name": "ResourceApplyAdam",
  44480. "pid": 15,
  44481. "tid": 0,
  44482. "ts": 1539815917568649,
  44483. "dur": 4,
  44484. "args": {
  44485. "name": "training/TFOptimizer/Adam/update_2_15/update_dense_1/bias/replica_2/ResourceApplyAdam",
  44486. "op": "ResourceApplyAdam"
  44487. }
  44488. },
  44489. {
  44490. "ph": "X",
  44491. "cat": "Op",
  44492. "name": "ResourceApplyAdam",
  44493. "pid": 15,
  44494. "tid": 0,
  44495. "ts": 1539815917568656,
  44496. "dur": 3,
  44497. "args": {
  44498. "name": "training/TFOptimizer/Adam/update_0_11/update_conv2d_2/bias/ResourceApplyAdam",
  44499. "op": "ResourceApplyAdam"
  44500. }
  44501. },
  44502. {
  44503. "ph": "X",
  44504. "cat": "Op",
  44505. "name": "ResourceApplyAdam",
  44506. "pid": 15,
  44507. "tid": 1,
  44508. "ts": 1539815917568656,
  44509. "dur": 3,
  44510. "args": {
  44511. "name": "training/TFOptimizer/Adam/update_3_1/update_batch_normalization/beta/replica_3/ResourceApplyAdam",
  44512. "op": "ResourceApplyAdam"
  44513. }
  44514. },
  44515. {
  44516. "ph": "X",
  44517. "cat": "Op",
  44518. "name": "ResourceApplyAdam",
  44519. "pid": 15,
  44520. "tid": 2,
  44521. "ts": 1539815917568658,
  44522. "dur": 6,
  44523. "args": {
  44524. "name": "training/TFOptimizer/Adam/update_2_15/update_dense_1/bias/replica_2/ResourceApplyAdam",
  44525. "op": "ResourceApplyAdam"
  44526. }
  44527. },
  44528. {
  44529. "ph": "X",
  44530. "cat": "Op",
  44531. "name": "ResourceApplyAdam",
  44532. "pid": 15,
  44533. "tid": 0,
  44534. "ts": 1539815917568668,
  44535. "dur": 5,
  44536. "args": {
  44537. "name": "training/TFOptimizer/Adam/update_1_11/update_conv2d_2/bias/replica_1/ResourceApplyAdam",
  44538. "op": "ResourceApplyAdam"
  44539. }
  44540. },
  44541. {
  44542. "ph": "X",
  44543. "cat": "Op",
  44544. "name": "ResourceApplyAdam",
  44545. "pid": 15,
  44546. "tid": 0,
  44547. "ts": 1539815917568677,
  44548. "dur": 5,
  44549. "args": {
  44550. "name": "training/TFOptimizer/Adam/update_0_11/update_conv2d_2/bias/ResourceApplyAdam",
  44551. "op": "ResourceApplyAdam"
  44552. }
  44553. },
  44554. {
  44555. "ph": "X",
  44556. "cat": "Op",
  44557. "name": "ResourceApplyAdam",
  44558. "pid": 15,
  44559. "tid": 0,
  44560. "ts": 1539815917568701,
  44561. "dur": 3,
  44562. "args": {
  44563. "name": "training/TFOptimizer/Adam/update_3_1/update_batch_normalization/beta/replica_3/ResourceApplyAdam",
  44564. "op": "ResourceApplyAdam"
  44565. }
  44566. },
  44567. {
  44568. "ph": "X",
  44569. "cat": "Op",
  44570. "name": "ResourceApplyAdam",
  44571. "pid": 15,
  44572. "tid": 0,
  44573. "ts": 1539815917568769,
  44574. "dur": 4,
  44575. "args": {
  44576. "name": "training/TFOptimizer/Adam/update_3_1/update_batch_normalization/beta/replica_3/ResourceApplyAdam",
  44577. "op": "ResourceApplyAdam"
  44578. }
  44579. },
  44580. {
  44581. "ph": "X",
  44582. "cat": "Op",
  44583. "name": "ResourceApplyAdam",
  44584. "pid": 15,
  44585. "tid": 0,
  44586. "ts": 1539815917568816,
  44587. "dur": 4,
  44588. "args": {
  44589. "name": "training/TFOptimizer/Adam/update_2_3/update_conv2d/bias/replica_2/ResourceApplyAdam",
  44590. "op": "ResourceApplyAdam"
  44591. }
  44592. },
  44593. {
  44594. "ph": "X",
  44595. "cat": "Op",
  44596. "name": "ResourceApplyAdam",
  44597. "pid": 15,
  44598. "tid": 1,
  44599. "ts": 1539815917568818,
  44600. "dur": 3,
  44601. "args": {
  44602. "name": "training/TFOptimizer/Adam/update_1_13/update_dense/bias/replica_1/ResourceApplyAdam",
  44603. "op": "ResourceApplyAdam"
  44604. }
  44605. },
  44606. {
  44607. "ph": "X",
  44608. "cat": "Op",
  44609. "name": "ResourceApplyAdam",
  44610. "pid": 15,
  44611. "tid": 0,
  44612. "ts": 1539815917568827,
  44613. "dur": 4,
  44614. "args": {
  44615. "name": "training/TFOptimizer/Adam/update_2_3/update_conv2d/bias/replica_2/ResourceApplyAdam",
  44616. "op": "ResourceApplyAdam"
  44617. }
  44618. },
  44619. {
  44620. "ph": "X",
  44621. "cat": "Op",
  44622. "name": "ResourceApplyAdam",
  44623. "pid": 15,
  44624. "tid": 1,
  44625. "ts": 1539815917568828,
  44626. "dur": 3,
  44627. "args": {
  44628. "name": "training/TFOptimizer/Adam/update_1_13/update_dense/bias/replica_1/ResourceApplyAdam",
  44629. "op": "ResourceApplyAdam"
  44630. }
  44631. },
  44632. {
  44633. "ph": "X",
  44634. "cat": "Op",
  44635. "name": "ResourceApplyAdam",
  44636. "pid": 15,
  44637. "tid": 0,
  44638. "ts": 1539815917568837,
  44639. "dur": 5,
  44640. "args": {
  44641. "name": "training/TFOptimizer/Adam/update_2_3/update_conv2d/bias/replica_2/ResourceApplyAdam",
  44642. "op": "ResourceApplyAdam"
  44643. }
  44644. },
  44645. {
  44646. "ph": "X",
  44647. "cat": "Op",
  44648. "name": "ResourceApplyAdam",
  44649. "pid": 15,
  44650. "tid": 1,
  44651. "ts": 1539815917568840,
  44652. "dur": 4,
  44653. "args": {
  44654. "name": "training/TFOptimizer/Adam/update_1_13/update_dense/bias/replica_1/ResourceApplyAdam",
  44655. "op": "ResourceApplyAdam"
  44656. }
  44657. },
  44658. {
  44659. "ph": "X",
  44660. "cat": "Op",
  44661. "name": "ResourceApplyAdam",
  44662. "pid": 15,
  44663. "tid": 2,
  44664. "ts": 1539815917568842,
  44665. "dur": 4,
  44666. "args": {
  44667. "name": "training/TFOptimizer/Adam/update_0_13/update_dense/bias/ResourceApplyAdam",
  44668. "op": "ResourceApplyAdam"
  44669. }
  44670. },
  44671. {
  44672. "ph": "X",
  44673. "cat": "Op",
  44674. "name": "ResourceApplyAdam",
  44675. "pid": 15,
  44676. "tid": 0,
  44677. "ts": 1539815917568853,
  44678. "dur": 4,
  44679. "args": {
  44680. "name": "training/TFOptimizer/Adam/update_0_13/update_dense/bias/ResourceApplyAdam",
  44681. "op": "ResourceApplyAdam"
  44682. }
  44683. },
  44684. {
  44685. "ph": "X",
  44686. "cat": "Op",
  44687. "name": "ResourceApplyAdam",
  44688. "pid": 15,
  44689. "tid": 0,
  44690. "ts": 1539815917568859,
  44691. "dur": 4,
  44692. "args": {
  44693. "name": "training/TFOptimizer/Adam/update_3_11/update_conv2d_2/bias/replica_3/ResourceApplyAdam",
  44694. "op": "ResourceApplyAdam"
  44695. }
  44696. },
  44697. {
  44698. "ph": "X",
  44699. "cat": "Op",
  44700. "name": "ResourceApplyAdam",
  44701. "pid": 15,
  44702. "tid": 1,
  44703. "ts": 1539815917568862,
  44704. "dur": 4,
  44705. "args": {
  44706. "name": "training/TFOptimizer/Adam/update_0_13/update_dense/bias/ResourceApplyAdam",
  44707. "op": "ResourceApplyAdam"
  44708. }
  44709. },
  44710. {
  44711. "ph": "X",
  44712. "cat": "Op",
  44713. "name": "ResourceApplyAdam",
  44714. "pid": 15,
  44715. "tid": 0,
  44716. "ts": 1539815917568871,
  44717. "dur": 4,
  44718. "args": {
  44719. "name": "training/TFOptimizer/Adam/update_3_11/update_conv2d_2/bias/replica_3/ResourceApplyAdam",
  44720. "op": "ResourceApplyAdam"
  44721. }
  44722. },
  44723. {
  44724. "ph": "X",
  44725. "cat": "Op",
  44726. "name": "ResourceApplyAdam",
  44727. "pid": 15,
  44728. "tid": 0,
  44729. "ts": 1539815917568880,
  44730. "dur": 5,
  44731. "args": {
  44732. "name": "training/TFOptimizer/Adam/update_3_11/update_conv2d_2/bias/replica_3/ResourceApplyAdam",
  44733. "op": "ResourceApplyAdam"
  44734. }
  44735. },
  44736. {
  44737. "ph": "X",
  44738. "cat": "Op",
  44739. "name": "ResourceApplyAdam",
  44740. "pid": 15,
  44741. "tid": 0,
  44742. "ts": 1539815917568923,
  44743. "dur": 3,
  44744. "args": {
  44745. "name": "training/TFOptimizer/Adam/update_2_4/update_batch_normalization_1/gamma/replica_2/ResourceApplyAdam",
  44746. "op": "ResourceApplyAdam"
  44747. }
  44748. },
  44749. {
  44750. "ph": "X",
  44751. "cat": "Op",
  44752. "name": "ResourceApplyAdam",
  44753. "pid": 15,
  44754. "tid": 0,
  44755. "ts": 1539815917568933,
  44756. "dur": 3,
  44757. "args": {
  44758. "name": "training/TFOptimizer/Adam/update_2_4/update_batch_normalization_1/gamma/replica_2/ResourceApplyAdam",
  44759. "op": "ResourceApplyAdam"
  44760. }
  44761. },
  44762. {
  44763. "ph": "X",
  44764. "cat": "Op",
  44765. "name": "ResourceApplyAdam",
  44766. "pid": 15,
  44767. "tid": 0,
  44768. "ts": 1539815917568943,
  44769. "dur": 3,
  44770. "args": {
  44771. "name": "training/TFOptimizer/Adam/update_1_15/update_dense_1/bias/replica_1/ResourceApplyAdam",
  44772. "op": "ResourceApplyAdam"
  44773. }
  44774. },
  44775. {
  44776. "ph": "X",
  44777. "cat": "Op",
  44778. "name": "ResourceApplyAdam",
  44779. "pid": 15,
  44780. "tid": 1,
  44781. "ts": 1539815917568944,
  44782. "dur": 5,
  44783. "args": {
  44784. "name": "training/TFOptimizer/Adam/update_2_4/update_batch_normalization_1/gamma/replica_2/ResourceApplyAdam",
  44785. "op": "ResourceApplyAdam"
  44786. }
  44787. },
  44788. {
  44789. "ph": "X",
  44790. "cat": "Op",
  44791. "name": "ResourceApplyAdam",
  44792. "pid": 15,
  44793. "tid": 0,
  44794. "ts": 1539815917568951,
  44795. "dur": 3,
  44796. "args": {
  44797. "name": "training/TFOptimizer/Adam/update_0_15/update_dense_1/bias/ResourceApplyAdam",
  44798. "op": "ResourceApplyAdam"
  44799. }
  44800. },
  44801. {
  44802. "ph": "X",
  44803. "cat": "Op",
  44804. "name": "ResourceApplyAdam",
  44805. "pid": 15,
  44806. "tid": 1,
  44807. "ts": 1539815917568953,
  44808. "dur": 4,
  44809. "args": {
  44810. "name": "training/TFOptimizer/Adam/update_1_15/update_dense_1/bias/replica_1/ResourceApplyAdam",
  44811. "op": "ResourceApplyAdam"
  44812. }
  44813. },
  44814. {
  44815. "ph": "X",
  44816. "cat": "Op",
  44817. "name": "ResourceApplyAdam",
  44818. "pid": 15,
  44819. "tid": 0,
  44820. "ts": 1539815917568960,
  44821. "dur": 4,
  44822. "args": {
  44823. "name": "training/TFOptimizer/Adam/update_0_15/update_dense_1/bias/ResourceApplyAdam",
  44824. "op": "ResourceApplyAdam"
  44825. }
  44826. },
  44827. {
  44828. "ph": "X",
  44829. "cat": "Op",
  44830. "name": "ResourceApplyAdam",
  44831. "pid": 15,
  44832. "tid": 1,
  44833. "ts": 1539815917568961,
  44834. "dur": 4,
  44835. "args": {
  44836. "name": "training/TFOptimizer/Adam/update_3_13/update_dense/bias/replica_3/ResourceApplyAdam",
  44837. "op": "ResourceApplyAdam"
  44838. }
  44839. },
  44840. {
  44841. "ph": "X",
  44842. "cat": "Op",
  44843. "name": "ResourceApplyAdam",
  44844. "pid": 15,
  44845. "tid": 0,
  44846. "ts": 1539815917568971,
  44847. "dur": 5,
  44848. "args": {
  44849. "name": "training/TFOptimizer/Adam/update_1_15/update_dense_1/bias/replica_1/ResourceApplyAdam",
  44850. "op": "ResourceApplyAdam"
  44851. }
  44852. },
  44853. {
  44854. "ph": "X",
  44855. "cat": "Op",
  44856. "name": "ResourceApplyAdam",
  44857. "pid": 15,
  44858. "tid": 1,
  44859. "ts": 1539815917568970,
  44860. "dur": 6,
  44861. "args": {
  44862. "name": "training/TFOptimizer/Adam/update_0_15/update_dense_1/bias/ResourceApplyAdam",
  44863. "op": "ResourceApplyAdam"
  44864. }
  44865. },
  44866. {
  44867. "ph": "X",
  44868. "cat": "Op",
  44869. "name": "ResourceApplyAdam",
  44870. "pid": 15,
  44871. "tid": 2,
  44872. "ts": 1539815917568971,
  44873. "dur": 4,
  44874. "args": {
  44875. "name": "training/TFOptimizer/Adam/update_3_13/update_dense/bias/replica_3/ResourceApplyAdam",
  44876. "op": "ResourceApplyAdam"
  44877. }
  44878. },
  44879. {
  44880. "ph": "X",
  44881. "cat": "Op",
  44882. "name": "ResourceApplyAdam",
  44883. "pid": 15,
  44884. "tid": 0,
  44885. "ts": 1539815917569027,
  44886. "dur": 5,
  44887. "args": {
  44888. "name": "training/TFOptimizer/Adam/update_3_13/update_dense/bias/replica_3/ResourceApplyAdam",
  44889. "op": "ResourceApplyAdam"
  44890. }
  44891. },
  44892. {
  44893. "ph": "X",
  44894. "cat": "Op",
  44895. "name": "ResourceApplyAdam",
  44896. "pid": 15,
  44897. "tid": 0,
  44898. "ts": 1539815917569038,
  44899. "dur": 3,
  44900. "args": {
  44901. "name": "training/TFOptimizer/Adam/update_2_5/update_batch_normalization_1/beta/replica_2/ResourceApplyAdam",
  44902. "op": "ResourceApplyAdam"
  44903. }
  44904. },
  44905. {
  44906. "ph": "X",
  44907. "cat": "Op",
  44908. "name": "ResourceApplyAdam",
  44909. "pid": 15,
  44910. "tid": 0,
  44911. "ts": 1539815917569049,
  44912. "dur": 4,
  44913. "args": {
  44914. "name": "training/TFOptimizer/Adam/update_2_5/update_batch_normalization_1/beta/replica_2/ResourceApplyAdam",
  44915. "op": "ResourceApplyAdam"
  44916. }
  44917. },
  44918. {
  44919. "ph": "X",
  44920. "cat": "Op",
  44921. "name": "ResourceApplyAdam",
  44922. "pid": 15,
  44923. "tid": 0,
  44924. "ts": 1539815917569069,
  44925. "dur": 3,
  44926. "args": {
  44927. "name": "training/TFOptimizer/Adam/update_1_3/update_conv2d/bias/replica_1/ResourceApplyAdam",
  44928. "op": "ResourceApplyAdam"
  44929. }
  44930. },
  44931. {
  44932. "ph": "X",
  44933. "cat": "Op",
  44934. "name": "ResourceApplyAdam",
  44935. "pid": 15,
  44936. "tid": 0,
  44937. "ts": 1539815917569079,
  44938. "dur": 4,
  44939. "args": {
  44940. "name": "training/TFOptimizer/Adam/update_1_3/update_conv2d/bias/replica_1/ResourceApplyAdam",
  44941. "op": "ResourceApplyAdam"
  44942. }
  44943. },
  44944. {
  44945. "ph": "X",
  44946. "cat": "Op",
  44947. "name": "ResourceApplyAdam",
  44948. "pid": 15,
  44949. "tid": 1,
  44950. "ts": 1539815917569081,
  44951. "dur": 4,
  44952. "args": {
  44953. "name": "training/TFOptimizer/Adam/update_2_5/update_batch_normalization_1/beta/replica_2/ResourceApplyAdam",
  44954. "op": "ResourceApplyAdam"
  44955. }
  44956. },
  44957. {
  44958. "ph": "X",
  44959. "cat": "Op",
  44960. "name": "ResourceApplyAdam",
  44961. "pid": 15,
  44962. "tid": 0,
  44963. "ts": 1539815917569102,
  44964. "dur": 3,
  44965. "args": {
  44966. "name": "training/TFOptimizer/Adam/update_3_15/update_dense_1/bias/replica_3/ResourceApplyAdam",
  44967. "op": "ResourceApplyAdam"
  44968. }
  44969. },
  44970. {
  44971. "ph": "X",
  44972. "cat": "Op",
  44973. "name": "ResourceApplyAdam",
  44974. "pid": 15,
  44975. "tid": 0,
  44976. "ts": 1539815917569106,
  44977. "dur": 4,
  44978. "args": {
  44979. "name": "training/TFOptimizer/Adam/update_1_3/update_conv2d/bias/replica_1/ResourceApplyAdam",
  44980. "op": "ResourceApplyAdam"
  44981. }
  44982. },
  44983. {
  44984. "ph": "X",
  44985. "cat": "Op",
  44986. "name": "ResourceApplyAdam",
  44987. "pid": 15,
  44988. "tid": 0,
  44989. "ts": 1539815917569115,
  44990. "dur": 4,
  44991. "args": {
  44992. "name": "training/TFOptimizer/Adam/update_3_15/update_dense_1/bias/replica_3/ResourceApplyAdam",
  44993. "op": "ResourceApplyAdam"
  44994. }
  44995. },
  44996. {
  44997. "ph": "X",
  44998. "cat": "Op",
  44999. "name": "ResourceApplyAdam",
  45000. "pid": 15,
  45001. "tid": 1,
  45002. "ts": 1539815917569116,
  45003. "dur": 4,
  45004. "args": {
  45005. "name": "training/TFOptimizer/Adam/update_0_3/update_conv2d/bias/ResourceApplyAdam",
  45006. "op": "ResourceApplyAdam"
  45007. }
  45008. },
  45009. {
  45010. "ph": "X",
  45011. "cat": "Op",
  45012. "name": "ResourceApplyAdam",
  45013. "pid": 15,
  45014. "tid": 0,
  45015. "ts": 1539815917569128,
  45016. "dur": 4,
  45017. "args": {
  45018. "name": "training/TFOptimizer/Adam/update_0_3/update_conv2d/bias/ResourceApplyAdam",
  45019. "op": "ResourceApplyAdam"
  45020. }
  45021. },
  45022. {
  45023. "ph": "X",
  45024. "cat": "Op",
  45025. "name": "ResourceApplyAdam",
  45026. "pid": 15,
  45027. "tid": 0,
  45028. "ts": 1539815917569157,
  45029. "dur": 5,
  45030. "args": {
  45031. "name": "training/TFOptimizer/Adam/update_3_15/update_dense_1/bias/replica_3/ResourceApplyAdam",
  45032. "op": "ResourceApplyAdam"
  45033. }
  45034. },
  45035. {
  45036. "ph": "X",
  45037. "cat": "Op",
  45038. "name": "ResourceApplyAdam",
  45039. "pid": 15,
  45040. "tid": 1,
  45041. "ts": 1539815917569161,
  45042. "dur": 3,
  45043. "args": {
  45044. "name": "training/TFOptimizer/Adam/update_2_7/update_conv2d_1/bias/replica_2/ResourceApplyAdam",
  45045. "op": "ResourceApplyAdam"
  45046. }
  45047. },
  45048. {
  45049. "ph": "X",
  45050. "cat": "Op",
  45051. "name": "ResourceApplyAdam",
  45052. "pid": 15,
  45053. "tid": 0,
  45054. "ts": 1539815917569170,
  45055. "dur": 4,
  45056. "args": {
  45057. "name": "training/TFOptimizer/Adam/update_0_3/update_conv2d/bias/ResourceApplyAdam",
  45058. "op": "ResourceApplyAdam"
  45059. }
  45060. },
  45061. {
  45062. "ph": "X",
  45063. "cat": "Op",
  45064. "name": "ResourceApplyAdam",
  45065. "pid": 15,
  45066. "tid": 1,
  45067. "ts": 1539815917569171,
  45068. "dur": 4,
  45069. "args": {
  45070. "name": "training/TFOptimizer/Adam/update_2_7/update_conv2d_1/bias/replica_2/ResourceApplyAdam",
  45071. "op": "ResourceApplyAdam"
  45072. }
  45073. },
  45074. {
  45075. "ph": "X",
  45076. "cat": "Op",
  45077. "name": "ResourceApplyAdam",
  45078. "pid": 15,
  45079. "tid": 0,
  45080. "ts": 1539815917569185,
  45081. "dur": 5,
  45082. "args": {
  45083. "name": "training/TFOptimizer/Adam/update_2_7/update_conv2d_1/bias/replica_2/ResourceApplyAdam",
  45084. "op": "ResourceApplyAdam"
  45085. }
  45086. },
  45087. {
  45088. "ph": "X",
  45089. "cat": "Op",
  45090. "name": "ResourceApplyAdam",
  45091. "pid": 15,
  45092. "tid": 0,
  45093. "ts": 1539815917569217,
  45094. "dur": 4,
  45095. "args": {
  45096. "name": "training/TFOptimizer/Adam/update_1_4/update_batch_normalization_1/gamma/replica_1/ResourceApplyAdam",
  45097. "op": "ResourceApplyAdam"
  45098. }
  45099. },
  45100. {
  45101. "ph": "X",
  45102. "cat": "Op",
  45103. "name": "ResourceApplyAdam",
  45104. "pid": 15,
  45105. "tid": 0,
  45106. "ts": 1539815917569229,
  45107. "dur": 4,
  45108. "args": {
  45109. "name": "training/TFOptimizer/Adam/update_1_4/update_batch_normalization_1/gamma/replica_1/ResourceApplyAdam",
  45110. "op": "ResourceApplyAdam"
  45111. }
  45112. },
  45113. {
  45114. "ph": "X",
  45115. "cat": "Op",
  45116. "name": "ResourceApplyAdam",
  45117. "pid": 15,
  45118. "tid": 0,
  45119. "ts": 1539815917569247,
  45120. "dur": 5,
  45121. "args": {
  45122. "name": "training/TFOptimizer/Adam/update_1_4/update_batch_normalization_1/gamma/replica_1/ResourceApplyAdam",
  45123. "op": "ResourceApplyAdam"
  45124. }
  45125. },
  45126. {
  45127. "ph": "X",
  45128. "cat": "Op",
  45129. "name": "ResourceApplyAdam",
  45130. "pid": 15,
  45131. "tid": 1,
  45132. "ts": 1539815917569247,
  45133. "dur": 4,
  45134. "args": {
  45135. "name": "training/TFOptimizer/Adam/update_0_4/update_batch_normalization_1/gamma/ResourceApplyAdam",
  45136. "op": "ResourceApplyAdam"
  45137. }
  45138. },
  45139. {
  45140. "ph": "X",
  45141. "cat": "Op",
  45142. "name": "ResourceApplyAdam",
  45143. "pid": 15,
  45144. "tid": 0,
  45145. "ts": 1539815917569267,
  45146. "dur": 3,
  45147. "args": {
  45148. "name": "training/TFOptimizer/Adam/update_3_3/update_conv2d/bias/replica_3/ResourceApplyAdam",
  45149. "op": "ResourceApplyAdam"
  45150. }
  45151. },
  45152. {
  45153. "ph": "X",
  45154. "cat": "Op",
  45155. "name": "ResourceApplyAdam",
  45156. "pid": 15,
  45157. "tid": 0,
  45158. "ts": 1539815917569284,
  45159. "dur": 3,
  45160. "args": {
  45161. "name": "training/TFOptimizer/Adam/update_2_8/update_batch_normalization_2/gamma/replica_2/ResourceApplyAdam",
  45162. "op": "ResourceApplyAdam"
  45163. }
  45164. },
  45165. {
  45166. "ph": "X",
  45167. "cat": "Op",
  45168. "name": "ResourceApplyAdam",
  45169. "pid": 15,
  45170. "tid": 0,
  45171. "ts": 1539815917569292,
  45172. "dur": 4,
  45173. "args": {
  45174. "name": "training/TFOptimizer/Adam/update_0_4/update_batch_normalization_1/gamma/ResourceApplyAdam",
  45175. "op": "ResourceApplyAdam"
  45176. }
  45177. },
  45178. {
  45179. "ph": "X",
  45180. "cat": "Op",
  45181. "name": "ResourceApplyAdam",
  45182. "pid": 15,
  45183. "tid": 0,
  45184. "ts": 1539815917569304,
  45185. "dur": 4,
  45186. "args": {
  45187. "name": "training/TFOptimizer/Adam/update_3_3/update_conv2d/bias/replica_3/ResourceApplyAdam",
  45188. "op": "ResourceApplyAdam"
  45189. }
  45190. },
  45191. {
  45192. "ph": "X",
  45193. "cat": "Op",
  45194. "name": "ResourceApplyAdam",
  45195. "pid": 15,
  45196. "tid": 0,
  45197. "ts": 1539815917569316,
  45198. "dur": 4,
  45199. "args": {
  45200. "name": "training/TFOptimizer/Adam/update_2_8/update_batch_normalization_2/gamma/replica_2/ResourceApplyAdam",
  45201. "op": "ResourceApplyAdam"
  45202. }
  45203. },
  45204. {
  45205. "ph": "X",
  45206. "cat": "Op",
  45207. "name": "ResourceApplyAdam",
  45208. "pid": 15,
  45209. "tid": 0,
  45210. "ts": 1539815917569332,
  45211. "dur": 5,
  45212. "args": {
  45213. "name": "training/TFOptimizer/Adam/update_0_4/update_batch_normalization_1/gamma/ResourceApplyAdam",
  45214. "op": "ResourceApplyAdam"
  45215. }
  45216. },
  45217. {
  45218. "ph": "X",
  45219. "cat": "Op",
  45220. "name": "ResourceApplyAdam",
  45221. "pid": 15,
  45222. "tid": 0,
  45223. "ts": 1539815917569343,
  45224. "dur": 3,
  45225. "args": {
  45226. "name": "training/TFOptimizer/Adam/update_1_5/update_batch_normalization_1/beta/replica_1/ResourceApplyAdam",
  45227. "op": "ResourceApplyAdam"
  45228. }
  45229. },
  45230. {
  45231. "ph": "X",
  45232. "cat": "Op",
  45233. "name": "ResourceApplyAdam",
  45234. "pid": 15,
  45235. "tid": 0,
  45236. "ts": 1539815917569349,
  45237. "dur": 5,
  45238. "args": {
  45239. "name": "training/TFOptimizer/Adam/update_3_3/update_conv2d/bias/replica_3/ResourceApplyAdam",
  45240. "op": "ResourceApplyAdam"
  45241. }
  45242. },
  45243. {
  45244. "ph": "X",
  45245. "cat": "Op",
  45246. "name": "ResourceApplyAdam",
  45247. "pid": 15,
  45248. "tid": 0,
  45249. "ts": 1539815917569372,
  45250. "dur": 5,
  45251. "args": {
  45252. "name": "training/TFOptimizer/Adam/update_2_8/update_batch_normalization_2/gamma/replica_2/ResourceApplyAdam",
  45253. "op": "ResourceApplyAdam"
  45254. }
  45255. },
  45256. {
  45257. "ph": "X",
  45258. "cat": "Op",
  45259. "name": "ResourceApplyAdam",
  45260. "pid": 15,
  45261. "tid": 0,
  45262. "ts": 1539815917569408,
  45263. "dur": 4,
  45264. "args": {
  45265. "name": "training/TFOptimizer/Adam/update_1_5/update_batch_normalization_1/beta/replica_1/ResourceApplyAdam",
  45266. "op": "ResourceApplyAdam"
  45267. }
  45268. },
  45269. {
  45270. "ph": "X",
  45271. "cat": "Op",
  45272. "name": "ResourceApplyAdam",
  45273. "pid": 15,
  45274. "tid": 0,
  45275. "ts": 1539815917569466,
  45276. "dur": 5,
  45277. "args": {
  45278. "name": "training/TFOptimizer/Adam/update_1_5/update_batch_normalization_1/beta/replica_1/ResourceApplyAdam",
  45279. "op": "ResourceApplyAdam"
  45280. }
  45281. },
  45282. {
  45283. "ph": "X",
  45284. "cat": "Op",
  45285. "name": "ResourceApplyAdam",
  45286. "pid": 15,
  45287. "tid": 0,
  45288. "ts": 1539815917569503,
  45289. "dur": 4,
  45290. "args": {
  45291. "name": "training/TFOptimizer/Adam/update_0_5/update_batch_normalization_1/beta/ResourceApplyAdam",
  45292. "op": "ResourceApplyAdam"
  45293. }
  45294. },
  45295. {
  45296. "ph": "X",
  45297. "cat": "Op",
  45298. "name": "ResourceApplyAdam",
  45299. "pid": 15,
  45300. "tid": 0,
  45301. "ts": 1539815917569515,
  45302. "dur": 3,
  45303. "args": {
  45304. "name": "training/TFOptimizer/Adam/update_0_5/update_batch_normalization_1/beta/ResourceApplyAdam",
  45305. "op": "ResourceApplyAdam"
  45306. }
  45307. },
  45308. {
  45309. "ph": "X",
  45310. "cat": "Op",
  45311. "name": "ResourceApplyAdam",
  45312. "pid": 15,
  45313. "tid": 1,
  45314. "ts": 1539815917569517,
  45315. "dur": 4,
  45316. "args": {
  45317. "name": "training/TFOptimizer/Adam/update_3_4/update_batch_normalization_1/gamma/replica_3/ResourceApplyAdam",
  45318. "op": "ResourceApplyAdam"
  45319. }
  45320. },
  45321. {
  45322. "ph": "X",
  45323. "cat": "Op",
  45324. "name": "ResourceApplyAdam",
  45325. "pid": 15,
  45326. "tid": 0,
  45327. "ts": 1539815917569524,
  45328. "dur": 5,
  45329. "args": {
  45330. "name": "training/TFOptimizer/Adam/update_0_5/update_batch_normalization_1/beta/ResourceApplyAdam",
  45331. "op": "ResourceApplyAdam"
  45332. }
  45333. },
  45334. {
  45335. "ph": "X",
  45336. "cat": "Op",
  45337. "name": "ResourceApplyAdam",
  45338. "pid": 15,
  45339. "tid": 1,
  45340. "ts": 1539815917569527,
  45341. "dur": 3,
  45342. "args": {
  45343. "name": "training/TFOptimizer/Adam/update_3_4/update_batch_normalization_1/gamma/replica_3/ResourceApplyAdam",
  45344. "op": "ResourceApplyAdam"
  45345. }
  45346. },
  45347. {
  45348. "ph": "X",
  45349. "cat": "Op",
  45350. "name": "ResourceApplyAdam",
  45351. "pid": 15,
  45352. "tid": 0,
  45353. "ts": 1539815917569534,
  45354. "dur": 3,
  45355. "args": {
  45356. "name": "training/TFOptimizer/Adam/update_2_9/update_batch_normalization_2/beta/replica_2/ResourceApplyAdam",
  45357. "op": "ResourceApplyAdam"
  45358. }
  45359. },
  45360. {
  45361. "ph": "X",
  45362. "cat": "Op",
  45363. "name": "ResourceApplyAdam",
  45364. "pid": 15,
  45365. "tid": 0,
  45366. "ts": 1539815917569538,
  45367. "dur": 5,
  45368. "args": {
  45369. "name": "training/TFOptimizer/Adam/update_3_4/update_batch_normalization_1/gamma/replica_3/ResourceApplyAdam",
  45370. "op": "ResourceApplyAdam"
  45371. }
  45372. },
  45373. {
  45374. "ph": "X",
  45375. "cat": "Op",
  45376. "name": "ResourceApplyAdam",
  45377. "pid": 15,
  45378. "tid": 0,
  45379. "ts": 1539815917569547,
  45380. "dur": 4,
  45381. "args": {
  45382. "name": "training/TFOptimizer/Adam/update_2_9/update_batch_normalization_2/beta/replica_2/ResourceApplyAdam",
  45383. "op": "ResourceApplyAdam"
  45384. }
  45385. },
  45386. {
  45387. "ph": "X",
  45388. "cat": "Op",
  45389. "name": "ResourceApplyAdam",
  45390. "pid": 15,
  45391. "tid": 0,
  45392. "ts": 1539815917569555,
  45393. "dur": 5,
  45394. "args": {
  45395. "name": "training/TFOptimizer/Adam/update_2_9/update_batch_normalization_2/beta/replica_2/ResourceApplyAdam",
  45396. "op": "ResourceApplyAdam"
  45397. }
  45398. },
  45399. {
  45400. "ph": "X",
  45401. "cat": "Op",
  45402. "name": "ResourceApplyAdam",
  45403. "pid": 15,
  45404. "tid": 0,
  45405. "ts": 1539815917569577,
  45406. "dur": 4,
  45407. "args": {
  45408. "name": "training/TFOptimizer/Adam/update_1_7/update_conv2d_1/bias/replica_1/ResourceApplyAdam",
  45409. "op": "ResourceApplyAdam"
  45410. }
  45411. },
  45412. {
  45413. "ph": "X",
  45414. "cat": "Op",
  45415. "name": "ResourceApplyAdam",
  45416. "pid": 15,
  45417. "tid": 0,
  45418. "ts": 1539815917569587,
  45419. "dur": 4,
  45420. "args": {
  45421. "name": "training/TFOptimizer/Adam/update_1_7/update_conv2d_1/bias/replica_1/ResourceApplyAdam",
  45422. "op": "ResourceApplyAdam"
  45423. }
  45424. },
  45425. {
  45426. "ph": "X",
  45427. "cat": "Op",
  45428. "name": "ResourceApplyAdam",
  45429. "pid": 15,
  45430. "tid": 0,
  45431. "ts": 1539815917569613,
  45432. "dur": 5,
  45433. "args": {
  45434. "name": "training/TFOptimizer/Adam/update_1_7/update_conv2d_1/bias/replica_1/ResourceApplyAdam",
  45435. "op": "ResourceApplyAdam"
  45436. }
  45437. },
  45438. {
  45439. "ph": "X",
  45440. "cat": "Op",
  45441. "name": "ResourceApplyAdam",
  45442. "pid": 15,
  45443. "tid": 0,
  45444. "ts": 1539815917569661,
  45445. "dur": 4,
  45446. "args": {
  45447. "name": "training/TFOptimizer/Adam/update_3_5/update_batch_normalization_1/beta/replica_3/ResourceApplyAdam",
  45448. "op": "ResourceApplyAdam"
  45449. }
  45450. },
  45451. {
  45452. "ph": "X",
  45453. "cat": "Op",
  45454. "name": "ResourceApplyAdam",
  45455. "pid": 15,
  45456. "tid": 0,
  45457. "ts": 1539815917569681,
  45458. "dur": 4,
  45459. "args": {
  45460. "name": "training/TFOptimizer/Adam/update_2/update_batch_normalization/gamma/replica_2/ResourceApplyAdam",
  45461. "op": "ResourceApplyAdam"
  45462. }
  45463. },
  45464. {
  45465. "ph": "X",
  45466. "cat": "Op",
  45467. "name": "ResourceApplyAdam",
  45468. "pid": 15,
  45469. "tid": 1,
  45470. "ts": 1539815917569685,
  45471. "dur": 3,
  45472. "args": {
  45473. "name": "training/TFOptimizer/Adam/update_0_7/update_conv2d_1/bias/ResourceApplyAdam",
  45474. "op": "ResourceApplyAdam"
  45475. }
  45476. },
  45477. {
  45478. "ph": "X",
  45479. "cat": "Op",
  45480. "name": "ResourceApplyAdam",
  45481. "pid": 15,
  45482. "tid": 0,
  45483. "ts": 1539815917569689,
  45484. "dur": 4,
  45485. "args": {
  45486. "name": "training/TFOptimizer/Adam/update_1_8/update_batch_normalization_2/gamma/replica_1/ResourceApplyAdam",
  45487. "op": "ResourceApplyAdam"
  45488. }
  45489. },
  45490. {
  45491. "ph": "X",
  45492. "cat": "Op",
  45493. "name": "ResourceApplyAdam",
  45494. "pid": 15,
  45495. "tid": 0,
  45496. "ts": 1539815917569695,
  45497. "dur": 4,
  45498. "args": {
  45499. "name": "training/TFOptimizer/Adam/update_0_7/update_conv2d_1/bias/ResourceApplyAdam",
  45500. "op": "ResourceApplyAdam"
  45501. }
  45502. },
  45503. {
  45504. "ph": "X",
  45505. "cat": "Op",
  45506. "name": "ResourceApplyAdam",
  45507. "pid": 15,
  45508. "tid": 0,
  45509. "ts": 1539815917569700,
  45510. "dur": 3,
  45511. "args": {
  45512. "name": "training/TFOptimizer/Adam/update_1_8/update_batch_normalization_2/gamma/replica_1/ResourceApplyAdam",
  45513. "op": "ResourceApplyAdam"
  45514. }
  45515. },
  45516. {
  45517. "ph": "X",
  45518. "cat": "Op",
  45519. "name": "ResourceApplyAdam",
  45520. "pid": 15,
  45521. "tid": 1,
  45522. "ts": 1539815917569700,
  45523. "dur": 3,
  45524. "args": {
  45525. "name": "training/TFOptimizer/Adam/update_3_5/update_batch_normalization_1/beta/replica_3/ResourceApplyAdam",
  45526. "op": "ResourceApplyAdam"
  45527. }
  45528. },
  45529. {
  45530. "ph": "X",
  45531. "cat": "Op",
  45532. "name": "ResourceApplyAdam",
  45533. "pid": 15,
  45534. "tid": 0,
  45535. "ts": 1539815917569705,
  45536. "dur": 5,
  45537. "args": {
  45538. "name": "training/TFOptimizer/Adam/update_0_7/update_conv2d_1/bias/ResourceApplyAdam",
  45539. "op": "ResourceApplyAdam"
  45540. }
  45541. },
  45542. {
  45543. "ph": "X",
  45544. "cat": "Op",
  45545. "name": "ResourceApplyAdam",
  45546. "pid": 15,
  45547. "tid": 1,
  45548. "ts": 1539815917569709,
  45549. "dur": 5,
  45550. "args": {
  45551. "name": "training/TFOptimizer/Adam/update_1_8/update_batch_normalization_2/gamma/replica_1/ResourceApplyAdam",
  45552. "op": "ResourceApplyAdam"
  45553. }
  45554. },
  45555. {
  45556. "ph": "X",
  45557. "cat": "Op",
  45558. "name": "ResourceApplyAdam",
  45559. "pid": 15,
  45560. "tid": 2,
  45561. "ts": 1539815917569709,
  45562. "dur": 3,
  45563. "args": {
  45564. "name": "training/TFOptimizer/Adam/update_2/update_batch_normalization/gamma/replica_2/ResourceApplyAdam",
  45565. "op": "ResourceApplyAdam"
  45566. }
  45567. },
  45568. {
  45569. "ph": "X",
  45570. "cat": "Op",
  45571. "name": "ResourceApplyAdam",
  45572. "pid": 15,
  45573. "tid": 0,
  45574. "ts": 1539815917569711,
  45575. "dur": 4,
  45576. "args": {
  45577. "name": "training/TFOptimizer/Adam/update_3_5/update_batch_normalization_1/beta/replica_3/ResourceApplyAdam",
  45578. "op": "ResourceApplyAdam"
  45579. }
  45580. },
  45581. {
  45582. "ph": "X",
  45583. "cat": "Op",
  45584. "name": "ResourceApplyAdam",
  45585. "pid": 15,
  45586. "tid": 0,
  45587. "ts": 1539815917569721,
  45588. "dur": 4,
  45589. "args": {
  45590. "name": "training/TFOptimizer/Adam/update_2/update_batch_normalization/gamma/replica_2/ResourceApplyAdam",
  45591. "op": "ResourceApplyAdam"
  45592. }
  45593. },
  45594. {
  45595. "ph": "X",
  45596. "cat": "Op",
  45597. "name": "ResourceApplyAdam",
  45598. "pid": 15,
  45599. "tid": 0,
  45600. "ts": 1539815917569786,
  45601. "dur": 4,
  45602. "args": {
  45603. "name": "training/TFOptimizer/Adam/update_1_9/update_batch_normalization_2/beta/replica_1/ResourceApplyAdam",
  45604. "op": "ResourceApplyAdam"
  45605. }
  45606. },
  45607. {
  45608. "ph": "X",
  45609. "cat": "Op",
  45610. "name": "ResourceApplyAdam",
  45611. "pid": 15,
  45612. "tid": 1,
  45613. "ts": 1539815917569790,
  45614. "dur": 3,
  45615. "args": {
  45616. "name": "training/TFOptimizer/Adam/update_3_7/update_conv2d_1/bias/replica_3/ResourceApplyAdam",
  45617. "op": "ResourceApplyAdam"
  45618. }
  45619. },
  45620. {
  45621. "ph": "X",
  45622. "cat": "Op",
  45623. "name": "ResourceApplyAdam",
  45624. "pid": 15,
  45625. "tid": 0,
  45626. "ts": 1539815917569797,
  45627. "dur": 4,
  45628. "args": {
  45629. "name": "training/TFOptimizer/Adam/update_1_9/update_batch_normalization_2/beta/replica_1/ResourceApplyAdam",
  45630. "op": "ResourceApplyAdam"
  45631. }
  45632. },
  45633. {
  45634. "ph": "X",
  45635. "cat": "Op",
  45636. "name": "ResourceApplyAdam",
  45637. "pid": 15,
  45638. "tid": 1,
  45639. "ts": 1539815917569799,
  45640. "dur": 4,
  45641. "args": {
  45642. "name": "training/TFOptimizer/Adam/update_3_7/update_conv2d_1/bias/replica_3/ResourceApplyAdam",
  45643. "op": "ResourceApplyAdam"
  45644. }
  45645. },
  45646. {
  45647. "ph": "X",
  45648. "cat": "Op",
  45649. "name": "ResourceApplyAdam",
  45650. "pid": 15,
  45651. "tid": 0,
  45652. "ts": 1539815917569805,
  45653. "dur": 5,
  45654. "args": {
  45655. "name": "training/TFOptimizer/Adam/update_1_9/update_batch_normalization_2/beta/replica_1/ResourceApplyAdam",
  45656. "op": "ResourceApplyAdam"
  45657. }
  45658. },
  45659. {
  45660. "ph": "X",
  45661. "cat": "Op",
  45662. "name": "ResourceApplyAdam",
  45663. "pid": 15,
  45664. "tid": 1,
  45665. "ts": 1539815917569806,
  45666. "dur": 4,
  45667. "args": {
  45668. "name": "training/TFOptimizer/Adam/update_0_8/update_batch_normalization_2/gamma/ResourceApplyAdam",
  45669. "op": "ResourceApplyAdam"
  45670. }
  45671. },
  45672. {
  45673. "ph": "X",
  45674. "cat": "Op",
  45675. "name": "ResourceApplyAdam",
  45676. "pid": 15,
  45677. "tid": 0,
  45678. "ts": 1539815917569813,
  45679. "dur": 4,
  45680. "args": {
  45681. "name": "training/TFOptimizer/Adam/update_2_1/update_batch_normalization/beta/replica_2/ResourceApplyAdam",
  45682. "op": "ResourceApplyAdam"
  45683. }
  45684. },
  45685. {
  45686. "ph": "X",
  45687. "cat": "Op",
  45688. "name": "ResourceApplyAdam",
  45689. "pid": 15,
  45690. "tid": 1,
  45691. "ts": 1539815917569816,
  45692. "dur": 5,
  45693. "args": {
  45694. "name": "training/TFOptimizer/Adam/update_3_7/update_conv2d_1/bias/replica_3/ResourceApplyAdam",
  45695. "op": "ResourceApplyAdam"
  45696. }
  45697. },
  45698. {
  45699. "ph": "X",
  45700. "cat": "Op",
  45701. "name": "ResourceApplyAdam",
  45702. "pid": 15,
  45703. "tid": 0,
  45704. "ts": 1539815917569819,
  45705. "dur": 3,
  45706. "args": {
  45707. "name": "training/TFOptimizer/Adam/update_0_8/update_batch_normalization_2/gamma/ResourceApplyAdam",
  45708. "op": "ResourceApplyAdam"
  45709. }
  45710. },
  45711. {
  45712. "ph": "X",
  45713. "cat": "Op",
  45714. "name": "ResourceApplyAdam",
  45715. "pid": 15,
  45716. "tid": 0,
  45717. "ts": 1539815917569823,
  45718. "dur": 4,
  45719. "args": {
  45720. "name": "training/TFOptimizer/Adam/update_2_1/update_batch_normalization/beta/replica_2/ResourceApplyAdam",
  45721. "op": "ResourceApplyAdam"
  45722. }
  45723. },
  45724. {
  45725. "ph": "X",
  45726. "cat": "Op",
  45727. "name": "ResourceApplyAdam",
  45728. "pid": 15,
  45729. "tid": 0,
  45730. "ts": 1539815917569829,
  45731. "dur": 4,
  45732. "args": {
  45733. "name": "training/TFOptimizer/Adam/update_0_8/update_batch_normalization_2/gamma/ResourceApplyAdam",
  45734. "op": "ResourceApplyAdam"
  45735. }
  45736. },
  45737. {
  45738. "ph": "X",
  45739. "cat": "Op",
  45740. "name": "ResourceApplyAdam",
  45741. "pid": 15,
  45742. "tid": 1,
  45743. "ts": 1539815917569833,
  45744. "dur": 4,
  45745. "args": {
  45746. "name": "training/TFOptimizer/Adam/update_2_1/update_batch_normalization/beta/replica_2/ResourceApplyAdam",
  45747. "op": "ResourceApplyAdam"
  45748. }
  45749. },
  45750. {
  45751. "ph": "X",
  45752. "cat": "Op",
  45753. "name": "ResourceApplyAdam",
  45754. "pid": 15,
  45755. "tid": 0,
  45756. "ts": 1539815917569885,
  45757. "dur": 16,
  45758. "args": {
  45759. "name": "training/TFOptimizer/Adam/update_1_10/update_conv2d_2/kernel/replica_1/ResourceApplyAdam",
  45760. "op": "ResourceApplyAdam"
  45761. }
  45762. },
  45763. {
  45764. "ph": "X",
  45765. "cat": "Op",
  45766. "name": "ResourceApplyAdam",
  45767. "pid": 15,
  45768. "tid": 1,
  45769. "ts": 1539815917569890,
  45770. "dur": 4,
  45771. "args": {
  45772. "name": "training/TFOptimizer/Adam/update_3_8/update_batch_normalization_2/gamma/replica_3/ResourceApplyAdam",
  45773. "op": "ResourceApplyAdam"
  45774. }
  45775. },
  45776. {
  45777. "ph": "X",
  45778. "cat": "Op",
  45779. "name": "ResourceApplyAdam",
  45780. "pid": 15,
  45781. "tid": 0,
  45782. "ts": 1539815917569905,
  45783. "dur": 16,
  45784. "args": {
  45785. "name": "training/TFOptimizer/Adam/update_1_10/update_conv2d_2/kernel/replica_1/ResourceApplyAdam",
  45786. "op": "ResourceApplyAdam"
  45787. }
  45788. },
  45789. {
  45790. "ph": "X",
  45791. "cat": "Op",
  45792. "name": "ResourceApplyAdam",
  45793. "pid": 15,
  45794. "tid": 1,
  45795. "ts": 1539815917569900,
  45796. "dur": 4,
  45797. "args": {
  45798. "name": "training/TFOptimizer/Adam/update_3_8/update_batch_normalization_2/gamma/replica_3/ResourceApplyAdam",
  45799. "op": "ResourceApplyAdam"
  45800. }
  45801. },
  45802. {
  45803. "ph": "X",
  45804. "cat": "Op",
  45805. "name": "ResourceApplyAdam",
  45806. "pid": 15,
  45807. "tid": 0,
  45808. "ts": 1539815917569924,
  45809. "dur": 20,
  45810. "args": {
  45811. "name": "training/TFOptimizer/Adam/update_1_10/update_conv2d_2/kernel/replica_1/ResourceApplyAdam",
  45812. "op": "ResourceApplyAdam"
  45813. }
  45814. },
  45815. {
  45816. "ph": "X",
  45817. "cat": "Op",
  45818. "name": "ResourceApplyAdam",
  45819. "pid": 15,
  45820. "tid": 1,
  45821. "ts": 1539815917569910,
  45822. "dur": 5,
  45823. "args": {
  45824. "name": "training/TFOptimizer/Adam/update_3_8/update_batch_normalization_2/gamma/replica_3/ResourceApplyAdam",
  45825. "op": "ResourceApplyAdam"
  45826. }
  45827. },
  45828. {
  45829. "ph": "X",
  45830. "cat": "Op",
  45831. "name": "ResourceApplyAdam",
  45832. "pid": 15,
  45833. "tid": 2,
  45834. "ts": 1539815917569911,
  45835. "dur": 16,
  45836. "args": {
  45837. "name": "training/TFOptimizer/Adam/update_2_10/update_conv2d_2/kernel/replica_2/ResourceApplyAdam",
  45838. "op": "ResourceApplyAdam"
  45839. }
  45840. },
  45841. {
  45842. "ph": "X",
  45843. "cat": "Op",
  45844. "name": "ResourceApplyAdam",
  45845. "pid": 15,
  45846. "tid": 3,
  45847. "ts": 1539815917569912,
  45848. "dur": 4,
  45849. "args": {
  45850. "name": "training/TFOptimizer/Adam/update_0_9/update_batch_normalization_2/beta/ResourceApplyAdam",
  45851. "op": "ResourceApplyAdam"
  45852. }
  45853. },
  45854. {
  45855. "ph": "X",
  45856. "cat": "Op",
  45857. "name": "ResourceApplyAdam",
  45858. "pid": 15,
  45859. "tid": 0,
  45860. "ts": 1539815917569949,
  45861. "dur": 15,
  45862. "args": {
  45863. "name": "training/TFOptimizer/Adam/update_2_10/update_conv2d_2/kernel/replica_2/ResourceApplyAdam",
  45864. "op": "ResourceApplyAdam"
  45865. }
  45866. },
  45867. {
  45868. "ph": "X",
  45869. "cat": "Op",
  45870. "name": "ResourceApplyAdam",
  45871. "pid": 15,
  45872. "tid": 0,
  45873. "ts": 1539815917569968,
  45874. "dur": 20,
  45875. "args": {
  45876. "name": "training/TFOptimizer/Adam/update_2_10/update_conv2d_2/kernel/replica_2/ResourceApplyAdam",
  45877. "op": "ResourceApplyAdam"
  45878. }
  45879. },
  45880. {
  45881. "ph": "X",
  45882. "cat": "Op",
  45883. "name": "ResourceApplyAdam",
  45884. "pid": 15,
  45885. "tid": 1,
  45886. "ts": 1539815917569965,
  45887. "dur": 4,
  45888. "args": {
  45889. "name": "training/TFOptimizer/Adam/update_0_9/update_batch_normalization_2/beta/ResourceApplyAdam",
  45890. "op": "ResourceApplyAdam"
  45891. }
  45892. },
  45893. {
  45894. "ph": "X",
  45895. "cat": "Op",
  45896. "name": "ResourceApplyAdam",
  45897. "pid": 15,
  45898. "tid": 1,
  45899. "ts": 1539815917569976,
  45900. "dur": 5,
  45901. "args": {
  45902. "name": "training/TFOptimizer/Adam/update_0_9/update_batch_normalization_2/beta/ResourceApplyAdam",
  45903. "op": "ResourceApplyAdam"
  45904. }
  45905. },
  45906. {
  45907. "ph": "X",
  45908. "cat": "Op",
  45909. "name": "ResourceApplyAdam",
  45910. "pid": 15,
  45911. "tid": 0,
  45912. "ts": 1539815917570013,
  45913. "dur": 12,
  45914. "args": {
  45915. "name": "training/TFOptimizer/Adam/update_1_12/update_dense/kernel/replica_1/ResourceApplyAdam",
  45916. "op": "ResourceApplyAdam"
  45917. }
  45918. },
  45919. {
  45920. "ph": "X",
  45921. "cat": "Op",
  45922. "name": "ResourceApplyAdam",
  45923. "pid": 15,
  45924. "tid": 0,
  45925. "ts": 1539815917570035,
  45926. "dur": 10,
  45927. "args": {
  45928. "name": "training/TFOptimizer/Adam/update_1_12/update_dense/kernel/replica_1/ResourceApplyAdam",
  45929. "op": "ResourceApplyAdam"
  45930. }
  45931. },
  45932. {
  45933. "ph": "X",
  45934. "cat": "Op",
  45935. "name": "ResourceApplyAdam",
  45936. "pid": 15,
  45937. "tid": 1,
  45938. "ts": 1539815917570042,
  45939. "dur": 15,
  45940. "args": {
  45941. "name": "training/TFOptimizer/Adam/update_3_10/update_conv2d_2/kernel/replica_3/ResourceApplyAdam",
  45942. "op": "ResourceApplyAdam"
  45943. }
  45944. },
  45945. {
  45946. "ph": "X",
  45947. "cat": "Op",
  45948. "name": "ResourceApplyAdam",
  45949. "pid": 15,
  45950. "tid": 0,
  45951. "ts": 1539815917570048,
  45952. "dur": 14,
  45953. "args": {
  45954. "name": "training/TFOptimizer/Adam/update_1_12/update_dense/kernel/replica_1/ResourceApplyAdam",
  45955. "op": "ResourceApplyAdam"
  45956. }
  45957. },
  45958. {
  45959. "ph": "X",
  45960. "cat": "Op",
  45961. "name": "ResourceApplyAdam",
  45962. "pid": 15,
  45963. "tid": 1,
  45964. "ts": 1539815917570061,
  45965. "dur": 16,
  45966. "args": {
  45967. "name": "training/TFOptimizer/Adam/update_3_10/update_conv2d_2/kernel/replica_3/ResourceApplyAdam",
  45968. "op": "ResourceApplyAdam"
  45969. }
  45970. },
  45971. {
  45972. "ph": "X",
  45973. "cat": "Op",
  45974. "name": "ResourceApplyAdam",
  45975. "pid": 15,
  45976. "tid": 2,
  45977. "ts": 1539815917570058,
  45978. "dur": 12,
  45979. "args": {
  45980. "name": "training/TFOptimizer/Adam/update_2_12/update_dense/kernel/replica_2/ResourceApplyAdam",
  45981. "op": "ResourceApplyAdam"
  45982. }
  45983. },
  45984. {
  45985. "ph": "X",
  45986. "cat": "Op",
  45987. "name": "ResourceApplyAdam",
  45988. "pid": 15,
  45989. "tid": 0,
  45990. "ts": 1539815917570073,
  45991. "dur": 10,
  45992. "args": {
  45993. "name": "training/TFOptimizer/Adam/update_2_12/update_dense/kernel/replica_2/ResourceApplyAdam",
  45994. "op": "ResourceApplyAdam"
  45995. }
  45996. },
  45997. {
  45998. "ph": "X",
  45999. "cat": "Op",
  46000. "name": "ResourceApplyAdam",
  46001. "pid": 15,
  46002. "tid": 2,
  46003. "ts": 1539815917570075,
  46004. "dur": 16,
  46005. "args": {
  46006. "name": "training/TFOptimizer/Adam/update_0_10/update_conv2d_2/kernel/ResourceApplyAdam",
  46007. "op": "ResourceApplyAdam"
  46008. }
  46009. },
  46010. {
  46011. "ph": "X",
  46012. "cat": "Op",
  46013. "name": "ResourceApplyAdam",
  46014. "pid": 15,
  46015. "tid": 0,
  46016. "ts": 1539815917570086,
  46017. "dur": 13,
  46018. "args": {
  46019. "name": "training/TFOptimizer/Adam/update_2_12/update_dense/kernel/replica_2/ResourceApplyAdam",
  46020. "op": "ResourceApplyAdam"
  46021. }
  46022. },
  46023. {
  46024. "ph": "X",
  46025. "cat": "Op",
  46026. "name": "ResourceApplyAdam",
  46027. "pid": 15,
  46028. "tid": 1,
  46029. "ts": 1539815917570084,
  46030. "dur": 20,
  46031. "args": {
  46032. "name": "training/TFOptimizer/Adam/update_3_10/update_conv2d_2/kernel/replica_3/ResourceApplyAdam",
  46033. "op": "ResourceApplyAdam"
  46034. }
  46035. },
  46036. {
  46037. "ph": "X",
  46038. "cat": "Op",
  46039. "name": "ResourceApplyAdam",
  46040. "pid": 15,
  46041. "tid": 2,
  46042. "ts": 1539815917570094,
  46043. "dur": 15,
  46044. "args": {
  46045. "name": "training/TFOptimizer/Adam/update_0_10/update_conv2d_2/kernel/ResourceApplyAdam",
  46046. "op": "ResourceApplyAdam"
  46047. }
  46048. },
  46049. {
  46050. "ph": "X",
  46051. "cat": "Op",
  46052. "name": "ResourceApplyAdam",
  46053. "pid": 15,
  46054. "tid": 0,
  46055. "ts": 1539815917570113,
  46056. "dur": 21,
  46057. "args": {
  46058. "name": "training/TFOptimizer/Adam/update_0_10/update_conv2d_2/kernel/ResourceApplyAdam",
  46059. "op": "ResourceApplyAdam"
  46060. }
  46061. },
  46062. {
  46063. "ph": "X",
  46064. "cat": "Op",
  46065. "name": "ResourceApplyAdam",
  46066. "pid": 15,
  46067. "tid": 1,
  46068. "ts": 1539815917570131,
  46069. "dur": 5,
  46070. "args": {
  46071. "name": "training/TFOptimizer/Adam/update_1_14/update_dense_1/kernel/replica_1/ResourceApplyAdam",
  46072. "op": "ResourceApplyAdam"
  46073. }
  46074. },
  46075. {
  46076. "ph": "X",
  46077. "cat": "Op",
  46078. "name": "ResourceApplyAdam",
  46079. "pid": 15,
  46080. "tid": 0,
  46081. "ts": 1539815917570142,
  46082. "dur": 4,
  46083. "args": {
  46084. "name": "training/TFOptimizer/Adam/update_1_14/update_dense_1/kernel/replica_1/ResourceApplyAdam",
  46085. "op": "ResourceApplyAdam"
  46086. }
  46087. },
  46088. {
  46089. "ph": "X",
  46090. "cat": "Op",
  46091. "name": "ResourceApplyAdam",
  46092. "pid": 15,
  46093. "tid": 0,
  46094. "ts": 1539815917570150,
  46095. "dur": 6,
  46096. "args": {
  46097. "name": "training/TFOptimizer/Adam/update_1_14/update_dense_1/kernel/replica_1/ResourceApplyAdam",
  46098. "op": "ResourceApplyAdam"
  46099. }
  46100. },
  46101. {
  46102. "ph": "X",
  46103. "cat": "Op",
  46104. "name": "ResourceApplyAdam",
  46105. "pid": 15,
  46106. "tid": 0,
  46107. "ts": 1539815917570159,
  46108. "dur": 4,
  46109. "args": {
  46110. "name": "training/TFOptimizer/Adam/update_2_14/update_dense_1/kernel/replica_2/ResourceApplyAdam",
  46111. "op": "ResourceApplyAdam"
  46112. }
  46113. },
  46114. {
  46115. "ph": "X",
  46116. "cat": "Op",
  46117. "name": "ResourceApplyAdam",
  46118. "pid": 15,
  46119. "tid": 0,
  46120. "ts": 1539815917570170,
  46121. "dur": 4,
  46122. "args": {
  46123. "name": "training/TFOptimizer/Adam/update_2_14/update_dense_1/kernel/replica_2/ResourceApplyAdam",
  46124. "op": "ResourceApplyAdam"
  46125. }
  46126. },
  46127. {
  46128. "ph": "X",
  46129. "cat": "Op",
  46130. "name": "ResourceApplyAdam",
  46131. "pid": 15,
  46132. "tid": 0,
  46133. "ts": 1539815917570178,
  46134. "dur": 6,
  46135. "args": {
  46136. "name": "training/TFOptimizer/Adam/update_2_14/update_dense_1/kernel/replica_2/ResourceApplyAdam",
  46137. "op": "ResourceApplyAdam"
  46138. }
  46139. },
  46140. {
  46141. "ph": "X",
  46142. "cat": "Op",
  46143. "name": "ResourceApplyAdam",
  46144. "pid": 15,
  46145. "tid": 0,
  46146. "ts": 1539815917570193,
  46147. "dur": 13,
  46148. "args": {
  46149. "name": "training/TFOptimizer/Adam/update_3_12/update_dense/kernel/replica_3/ResourceApplyAdam",
  46150. "op": "ResourceApplyAdam"
  46151. }
  46152. },
  46153. {
  46154. "ph": "X",
  46155. "cat": "Op",
  46156. "name": "ResourceApplyAdam",
  46157. "pid": 15,
  46158. "tid": 0,
  46159. "ts": 1539815917570214,
  46160. "dur": 10,
  46161. "args": {
  46162. "name": "training/TFOptimizer/Adam/update_3_12/update_dense/kernel/replica_3/ResourceApplyAdam",
  46163. "op": "ResourceApplyAdam"
  46164. }
  46165. },
  46166. {
  46167. "ph": "X",
  46168. "cat": "Op",
  46169. "name": "ResourceApplyAdam",
  46170. "pid": 15,
  46171. "tid": 0,
  46172. "ts": 1539815917570227,
  46173. "dur": 13,
  46174. "args": {
  46175. "name": "training/TFOptimizer/Adam/update_3_12/update_dense/kernel/replica_3/ResourceApplyAdam",
  46176. "op": "ResourceApplyAdam"
  46177. }
  46178. },
  46179. {
  46180. "ph": "X",
  46181. "cat": "Op",
  46182. "name": "ResourceApplyAdam",
  46183. "pid": 15,
  46184. "tid": 1,
  46185. "ts": 1539815917570225,
  46186. "dur": 12,
  46187. "args": {
  46188. "name": "training/TFOptimizer/Adam/update_0_12/update_dense/kernel/ResourceApplyAdam",
  46189. "op": "ResourceApplyAdam"
  46190. }
  46191. },
  46192. {
  46193. "ph": "X",
  46194. "cat": "Op",
  46195. "name": "ResourceApplyAdam",
  46196. "pid": 15,
  46197. "tid": 2,
  46198. "ts": 1539815917570236,
  46199. "dur": 4,
  46200. "args": {
  46201. "name": "training/TFOptimizer/Adam/update_1_2/update_conv2d/kernel/replica_1/ResourceApplyAdam",
  46202. "op": "ResourceApplyAdam"
  46203. }
  46204. },
  46205. {
  46206. "ph": "X",
  46207. "cat": "Op",
  46208. "name": "ResourceApplyAdam",
  46209. "pid": 15,
  46210. "tid": 0,
  46211. "ts": 1539815917570241,
  46212. "dur": 10,
  46213. "args": {
  46214. "name": "training/TFOptimizer/Adam/update_0_12/update_dense/kernel/ResourceApplyAdam",
  46215. "op": "ResourceApplyAdam"
  46216. }
  46217. },
  46218. {
  46219. "ph": "X",
  46220. "cat": "Op",
  46221. "name": "ResourceApplyAdam",
  46222. "pid": 15,
  46223. "tid": 1,
  46224. "ts": 1539815917570248,
  46225. "dur": 3,
  46226. "args": {
  46227. "name": "training/TFOptimizer/Adam/update_1_2/update_conv2d/kernel/replica_1/ResourceApplyAdam",
  46228. "op": "ResourceApplyAdam"
  46229. }
  46230. },
  46231. {
  46232. "ph": "X",
  46233. "cat": "Op",
  46234. "name": "ResourceApplyAdam",
  46235. "pid": 15,
  46236. "tid": 0,
  46237. "ts": 1539815917570254,
  46238. "dur": 14,
  46239. "args": {
  46240. "name": "training/TFOptimizer/Adam/update_0_12/update_dense/kernel/ResourceApplyAdam",
  46241. "op": "ResourceApplyAdam"
  46242. }
  46243. },
  46244. {
  46245. "ph": "X",
  46246. "cat": "Op",
  46247. "name": "ResourceApplyAdam",
  46248. "pid": 15,
  46249. "tid": 1,
  46250. "ts": 1539815917570259,
  46251. "dur": 5,
  46252. "args": {
  46253. "name": "training/TFOptimizer/Adam/update_1_2/update_conv2d/kernel/replica_1/ResourceApplyAdam",
  46254. "op": "ResourceApplyAdam"
  46255. }
  46256. },
  46257. {
  46258. "ph": "X",
  46259. "cat": "Op",
  46260. "name": "ResourceApplyAdam",
  46261. "pid": 15,
  46262. "tid": 2,
  46263. "ts": 1539815917570258,
  46264. "dur": 4,
  46265. "args": {
  46266. "name": "training/TFOptimizer/Adam/update_2_2/update_conv2d/kernel/replica_2/ResourceApplyAdam",
  46267. "op": "ResourceApplyAdam"
  46268. }
  46269. },
  46270. {
  46271. "ph": "X",
  46272. "cat": "Op",
  46273. "name": "ResourceApplyAdam",
  46274. "pid": 15,
  46275. "tid": 0,
  46276. "ts": 1539815917570290,
  46277. "dur": 4,
  46278. "args": {
  46279. "name": "training/TFOptimizer/Adam/update_2_2/update_conv2d/kernel/replica_2/ResourceApplyAdam",
  46280. "op": "ResourceApplyAdam"
  46281. }
  46282. },
  46283. {
  46284. "ph": "X",
  46285. "cat": "Op",
  46286. "name": "ResourceApplyAdam",
  46287. "pid": 15,
  46288. "tid": 0,
  46289. "ts": 1539815917570301,
  46290. "dur": 5,
  46291. "args": {
  46292. "name": "training/TFOptimizer/Adam/update_2_2/update_conv2d/kernel/replica_2/ResourceApplyAdam",
  46293. "op": "ResourceApplyAdam"
  46294. }
  46295. },
  46296. {
  46297. "ph": "X",
  46298. "cat": "Op",
  46299. "name": "ResourceApplyAdam",
  46300. "pid": 15,
  46301. "tid": 1,
  46302. "ts": 1539815917570304,
  46303. "dur": 4,
  46304. "args": {
  46305. "name": "training/TFOptimizer/Adam/update_3_14/update_dense_1/kernel/replica_3/ResourceApplyAdam",
  46306. "op": "ResourceApplyAdam"
  46307. }
  46308. },
  46309. {
  46310. "ph": "X",
  46311. "cat": "Op",
  46312. "name": "ResourceApplyAdam",
  46313. "pid": 15,
  46314. "tid": 0,
  46315. "ts": 1539815917570325,
  46316. "dur": 4,
  46317. "args": {
  46318. "name": "training/TFOptimizer/Adam/update_3_14/update_dense_1/kernel/replica_3/ResourceApplyAdam",
  46319. "op": "ResourceApplyAdam"
  46320. }
  46321. },
  46322. {
  46323. "ph": "X",
  46324. "cat": "Op",
  46325. "name": "ResourceApplyAdam",
  46326. "pid": 15,
  46327. "tid": 0,
  46328. "ts": 1539815917570336,
  46329. "dur": 6,
  46330. "args": {
  46331. "name": "training/TFOptimizer/Adam/update_3_14/update_dense_1/kernel/replica_3/ResourceApplyAdam",
  46332. "op": "ResourceApplyAdam"
  46333. }
  46334. },
  46335. {
  46336. "ph": "X",
  46337. "cat": "Op",
  46338. "name": "ResourceApplyAdam",
  46339. "pid": 15,
  46340. "tid": 0,
  46341. "ts": 1539815917570344,
  46342. "dur": 6,
  46343. "args": {
  46344. "name": "training/TFOptimizer/Adam/update_1_6/update_conv2d_1/kernel/replica_1/ResourceApplyAdam",
  46345. "op": "ResourceApplyAdam"
  46346. }
  46347. },
  46348. {
  46349. "ph": "X",
  46350. "cat": "Op",
  46351. "name": "ResourceApplyAdam",
  46352. "pid": 15,
  46353. "tid": 0,
  46354. "ts": 1539815917570353,
  46355. "dur": 6,
  46356. "args": {
  46357. "name": "training/TFOptimizer/Adam/update_1_6/update_conv2d_1/kernel/replica_1/ResourceApplyAdam",
  46358. "op": "ResourceApplyAdam"
  46359. }
  46360. },
  46361. {
  46362. "ph": "X",
  46363. "cat": "Op",
  46364. "name": "ResourceApplyAdam",
  46365. "pid": 15,
  46366. "tid": 0,
  46367. "ts": 1539815917570364,
  46368. "dur": 7,
  46369. "args": {
  46370. "name": "training/TFOptimizer/Adam/update_1_6/update_conv2d_1/kernel/replica_1/ResourceApplyAdam",
  46371. "op": "ResourceApplyAdam"
  46372. }
  46373. },
  46374. {
  46375. "ph": "X",
  46376. "cat": "Op",
  46377. "name": "ResourceApplyAdam",
  46378. "pid": 15,
  46379. "tid": 1,
  46380. "ts": 1539815917570365,
  46381. "dur": 4,
  46382. "args": {
  46383. "name": "training/TFOptimizer/Adam/update_0_14/update_dense_1/kernel/ResourceApplyAdam",
  46384. "op": "ResourceApplyAdam"
  46385. }
  46386. },
  46387. {
  46388. "ph": "X",
  46389. "cat": "Op",
  46390. "name": "ResourceApplyAdam",
  46391. "pid": 15,
  46392. "tid": 0,
  46393. "ts": 1539815917570376,
  46394. "dur": 5,
  46395. "args": {
  46396. "name": "training/TFOptimizer/Adam/update_0_14/update_dense_1/kernel/ResourceApplyAdam",
  46397. "op": "ResourceApplyAdam"
  46398. }
  46399. },
  46400. {
  46401. "ph": "X",
  46402. "cat": "Op",
  46403. "name": "ResourceApplyAdam",
  46404. "pid": 15,
  46405. "tid": 1,
  46406. "ts": 1539815917570379,
  46407. "dur": 5,
  46408. "args": {
  46409. "name": "training/TFOptimizer/Adam/update_2_6/update_conv2d_1/kernel/replica_2/ResourceApplyAdam",
  46410. "op": "ResourceApplyAdam"
  46411. }
  46412. },
  46413. {
  46414. "ph": "X",
  46415. "cat": "Op",
  46416. "name": "ResourceApplyAdam",
  46417. "pid": 15,
  46418. "tid": 0,
  46419. "ts": 1539815917570385,
  46420. "dur": 5,
  46421. "args": {
  46422. "name": "training/TFOptimizer/Adam/update_0_14/update_dense_1/kernel/ResourceApplyAdam",
  46423. "op": "ResourceApplyAdam"
  46424. }
  46425. },
  46426. {
  46427. "ph": "X",
  46428. "cat": "Op",
  46429. "name": "ResourceApplyAdam",
  46430. "pid": 15,
  46431. "tid": 1,
  46432. "ts": 1539815917570389,
  46433. "dur": 5,
  46434. "args": {
  46435. "name": "training/TFOptimizer/Adam/update_2_6/update_conv2d_1/kernel/replica_2/ResourceApplyAdam",
  46436. "op": "ResourceApplyAdam"
  46437. }
  46438. },
  46439. {
  46440. "ph": "X",
  46441. "cat": "Op",
  46442. "name": "ResourceApplyAdam",
  46443. "pid": 15,
  46444. "tid": 0,
  46445. "ts": 1539815917570399,
  46446. "dur": 7,
  46447. "args": {
  46448. "name": "training/TFOptimizer/Adam/update_2_6/update_conv2d_1/kernel/replica_2/ResourceApplyAdam",
  46449. "op": "ResourceApplyAdam"
  46450. }
  46451. },
  46452. {
  46453. "ph": "X",
  46454. "cat": "Op",
  46455. "name": "ResourceApplyAdam",
  46456. "pid": 15,
  46457. "tid": 0,
  46458. "ts": 1539815917570417,
  46459. "dur": 4,
  46460. "args": {
  46461. "name": "training/TFOptimizer/Adam/update_3_2/update_conv2d/kernel/replica_3/ResourceApplyAdam",
  46462. "op": "ResourceApplyAdam"
  46463. }
  46464. },
  46465. {
  46466. "ph": "X",
  46467. "cat": "Op",
  46468. "name": "ResourceApplyAdam",
  46469. "pid": 15,
  46470. "tid": 0,
  46471. "ts": 1539815917570452,
  46472. "dur": 3,
  46473. "args": {
  46474. "name": "training/TFOptimizer/Adam/update_3_2/update_conv2d/kernel/replica_3/ResourceApplyAdam",
  46475. "op": "ResourceApplyAdam"
  46476. }
  46477. },
  46478. {
  46479. "ph": "X",
  46480. "cat": "Op",
  46481. "name": "ResourceApplyAdam",
  46482. "pid": 15,
  46483. "tid": 0,
  46484. "ts": 1539815917570472,
  46485. "dur": 5,
  46486. "args": {
  46487. "name": "training/TFOptimizer/Adam/update_3_2/update_conv2d/kernel/replica_3/ResourceApplyAdam",
  46488. "op": "ResourceApplyAdam"
  46489. }
  46490. },
  46491. {
  46492. "ph": "X",
  46493. "cat": "Op",
  46494. "name": "ResourceApplyAdam",
  46495. "pid": 15,
  46496. "tid": 0,
  46497. "ts": 1539815917570505,
  46498. "dur": 4,
  46499. "args": {
  46500. "name": "training/TFOptimizer/Adam/update_0_2/update_conv2d/kernel/ResourceApplyAdam",
  46501. "op": "ResourceApplyAdam"
  46502. }
  46503. },
  46504. {
  46505. "ph": "X",
  46506. "cat": "Op",
  46507. "name": "ResourceApplyAdam",
  46508. "pid": 15,
  46509. "tid": 0,
  46510. "ts": 1539815917570516,
  46511. "dur": 3,
  46512. "args": {
  46513. "name": "training/TFOptimizer/Adam/update_0_2/update_conv2d/kernel/ResourceApplyAdam",
  46514. "op": "ResourceApplyAdam"
  46515. }
  46516. },
  46517. {
  46518. "ph": "X",
  46519. "cat": "Op",
  46520. "name": "ResourceApplyAdam",
  46521. "pid": 15,
  46522. "tid": 0,
  46523. "ts": 1539815917570524,
  46524. "dur": 5,
  46525. "args": {
  46526. "name": "training/TFOptimizer/Adam/update_0_2/update_conv2d/kernel/ResourceApplyAdam",
  46527. "op": "ResourceApplyAdam"
  46528. }
  46529. },
  46530. {
  46531. "ph": "X",
  46532. "cat": "Op",
  46533. "name": "ResourceApplyAdam",
  46534. "pid": 15,
  46535. "tid": 0,
  46536. "ts": 1539815917570556,
  46537. "dur": 6,
  46538. "args": {
  46539. "name": "training/TFOptimizer/Adam/update_3_6/update_conv2d_1/kernel/replica_3/ResourceApplyAdam",
  46540. "op": "ResourceApplyAdam"
  46541. }
  46542. },
  46543. {
  46544. "ph": "X",
  46545. "cat": "Op",
  46546. "name": "ResourceApplyAdam",
  46547. "pid": 15,
  46548. "tid": 0,
  46549. "ts": 1539815917570566,
  46550. "dur": 5,
  46551. "args": {
  46552. "name": "training/TFOptimizer/Adam/update_3_6/update_conv2d_1/kernel/replica_3/ResourceApplyAdam",
  46553. "op": "ResourceApplyAdam"
  46554. }
  46555. },
  46556. {
  46557. "ph": "X",
  46558. "cat": "Op",
  46559. "name": "ResourceApplyAdam",
  46560. "pid": 15,
  46561. "tid": 0,
  46562. "ts": 1539815917570576,
  46563. "dur": 7,
  46564. "args": {
  46565. "name": "training/TFOptimizer/Adam/update_3_6/update_conv2d_1/kernel/replica_3/ResourceApplyAdam",
  46566. "op": "ResourceApplyAdam"
  46567. }
  46568. },
  46569. {
  46570. "ph": "X",
  46571. "cat": "Op",
  46572. "name": "ResourceApplyAdam",
  46573. "pid": 15,
  46574. "tid": 0,
  46575. "ts": 1539815917570597,
  46576. "dur": 6,
  46577. "args": {
  46578. "name": "training/TFOptimizer/Adam/update_0_6/update_conv2d_1/kernel/ResourceApplyAdam",
  46579. "op": "ResourceApplyAdam"
  46580. }
  46581. },
  46582. {
  46583. "ph": "X",
  46584. "cat": "Op",
  46585. "name": "ResourceApplyAdam",
  46586. "pid": 15,
  46587. "tid": 0,
  46588. "ts": 1539815917570606,
  46589. "dur": 5,
  46590. "args": {
  46591. "name": "training/TFOptimizer/Adam/update_0_6/update_conv2d_1/kernel/ResourceApplyAdam",
  46592. "op": "ResourceApplyAdam"
  46593. }
  46594. },
  46595. {
  46596. "ph": "X",
  46597. "cat": "Op",
  46598. "name": "ResourceApplyAdam",
  46599. "pid": 15,
  46600. "tid": 0,
  46601. "ts": 1539815917570616,
  46602. "dur": 8,
  46603. "args": {
  46604. "name": "training/TFOptimizer/Adam/update_0_6/update_conv2d_1/kernel/ResourceApplyAdam",
  46605. "op": "ResourceApplyAdam"
  46606. }
  46607. },
  46608. {
  46609. "ph": "X",
  46610. "cat": "Op",
  46611. "name": "Mul",
  46612. "pid": 15,
  46613. "tid": 0,
  46614. "ts": 1539815917570991,
  46615. "dur": 4,
  46616. "args": {
  46617. "name": "training/TFOptimizer/Adam/update_3_16/mul",
  46618. "op": "Mul"
  46619. }
  46620. },
  46621. {
  46622. "ph": "X",
  46623. "cat": "Op",
  46624. "name": "Mul",
  46625. "pid": 15,
  46626. "tid": 0,
  46627. "ts": 1539815917571033,
  46628. "dur": 3,
  46629. "args": {
  46630. "name": "training/TFOptimizer/Adam/update_3_16/mul_1",
  46631. "op": "Mul"
  46632. }
  46633. },
  46634. {
  46635. "ph": "X",
  46636. "cat": "Op",
  46637. "name": "Mul",
  46638. "pid": 15,
  46639. "tid": 0,
  46640. "ts": 1539815917571049,
  46641. "dur": 4,
  46642. "args": {
  46643. "name": "training/TFOptimizer/Adam/update_2_16/mul_1",
  46644. "op": "Mul"
  46645. }
  46646. },
  46647. {
  46648. "ph": "X",
  46649. "cat": "Op",
  46650. "name": "Mul",
  46651. "pid": 15,
  46652. "tid": 0,
  46653. "ts": 1539815917571141,
  46654. "dur": 4,
  46655. "args": {
  46656. "name": "training/TFOptimizer/Adam/update_0_16/mul",
  46657. "op": "Mul"
  46658. }
  46659. },
  46660. {
  46661. "ph": "X",
  46662. "cat": "Op",
  46663. "name": "Mul",
  46664. "pid": 15,
  46665. "tid": 0,
  46666. "ts": 1539815917571170,
  46667. "dur": 2,
  46668. "args": {
  46669. "name": "training/TFOptimizer/Adam/update_0_16/mul_1",
  46670. "op": "Mul"
  46671. }
  46672. },
  46673. {
  46674. "ph": "X",
  46675. "cat": "Op",
  46676. "name": "Mul",
  46677. "pid": 15,
  46678. "tid": 0,
  46679. "ts": 1539815917571207,
  46680. "dur": 4,
  46681. "args": {
  46682. "name": "training/TFOptimizer/Adam/update_1_16/mul",
  46683. "op": "Mul"
  46684. }
  46685. },
  46686. {
  46687. "ph": "X",
  46688. "cat": "Op",
  46689. "name": "Mul",
  46690. "pid": 15,
  46691. "tid": 0,
  46692. "ts": 1539815917571256,
  46693. "dur": 3,
  46694. "args": {
  46695. "name": "training/TFOptimizer/Adam/update_1_16/mul_1",
  46696. "op": "Mul"
  46697. }
  46698. },
  46699. {
  46700. "ph": "X",
  46701. "cat": "Op",
  46702. "name": "Mul",
  46703. "pid": 15,
  46704. "tid": 1,
  46705. "ts": 1539815917571257,
  46706. "dur": 2,
  46707. "args": {
  46708. "name": "training/TFOptimizer/Adam/update_2_16/mul",
  46709. "op": "Mul"
  46710. }
  46711. },
  46712. {
  46713. "ph": "X",
  46714. "cat": "Op",
  46715. "name": "AssignAddVariableOp",
  46716. "pid": 15,
  46717. "tid": 0,
  46718. "ts": 1539815917571533,
  46719. "dur": 3,
  46720. "args": {
  46721. "name": "training/TFOptimizer/Adam/update_1_17/AssignAddVariableOp",
  46722. "op": "AssignAddVariableOp"
  46723. }
  46724. },
  46725. {
  46726. "ph": "X",
  46727. "cat": "Op",
  46728. "name": "AssignAddVariableOp",
  46729. "pid": 15,
  46730. "tid": 0,
  46731. "ts": 1539815917571545,
  46732. "dur": 3,
  46733. "args": {
  46734. "name": "training/TFOptimizer/Adam/update_0_17/AssignAddVariableOp",
  46735. "op": "AssignAddVariableOp"
  46736. }
  46737. },
  46738. {
  46739. "ph": "X",
  46740. "cat": "Op",
  46741. "name": "AssignAddVariableOp",
  46742. "pid": 15,
  46743. "tid": 0,
  46744. "ts": 1539815917571572,
  46745. "dur": 3,
  46746. "args": {
  46747. "name": "training/TFOptimizer/Adam/update_2_17/AssignAddVariableOp",
  46748. "op": "AssignAddVariableOp"
  46749. }
  46750. },
  46751. {
  46752. "ph": "X",
  46753. "cat": "Op",
  46754. "name": "AssignAddVariableOp",
  46755. "pid": 15,
  46756. "tid": 0,
  46757. "ts": 1539815917571598,
  46758. "dur": 4,
  46759. "args": {
  46760. "name": "training/TFOptimizer/Adam/update_3_17/AssignAddVariableOp",
  46761. "op": "AssignAddVariableOp"
  46762. }
  46763. },
  46764. {
  46765. "ph": "X",
  46766. "cat": "Op",
  46767. "name": "NoOp",
  46768. "pid": 17,
  46769. "tid": 0,
  46770. "ts": 1539815912098197,
  46771. "dur": 552,
  46772. "args": {
  46773. "name": "_SOURCE",
  46774. "op": "NoOp"
  46775. }
  46776. },
  46777. {
  46778. "ph": "X",
  46779. "cat": "Op",
  46780. "name": "Const",
  46781. "pid": 17,
  46782. "tid": 0,
  46783. "ts": 1539815912098759,
  46784. "dur": 11,
  46785. "args": {
  46786. "name": "loss_1/tags",
  46787. "op": "Const"
  46788. }
  46789. },
  46790. {
  46791. "ph": "X",
  46792. "cat": "Op",
  46793. "name": "Const",
  46794. "pid": 17,
  46795. "tid": 0,
  46796. "ts": 1539815912098772,
  46797. "dur": 5,
  46798. "args": {
  46799. "name": "ConstantFolding/truediv_recip",
  46800. "op": "Const"
  46801. }
  46802. },
  46803. {
  46804. "ph": "X",
  46805. "cat": "Op",
  46806. "name": "IteratorV2",
  46807. "pid": 17,
  46808. "tid": 0,
  46809. "ts": 1539815912098779,
  46810. "dur": 579,
  46811. "args": {
  46812. "name": "IteratorV2",
  46813. "op": "IteratorV2"
  46814. }
  46815. },
  46816. {
  46817. "ph": "X",
  46818. "cat": "Op",
  46819. "name": "IteratorGetDevice",
  46820. "pid": 17,
  46821. "tid": 0,
  46822. "ts": 1539815912099371,
  46823. "dur": 17,
  46824. "args": {
  46825. "name": "IteratorGetDevice",
  46826. "op": "IteratorGetDevice",
  46827. "input0": "IteratorV2"
  46828. }
  46829. },
  46830. {
  46831. "ph": "X",
  46832. "cat": "Op",
  46833. "name": "IteratorToStringHandle",
  46834. "pid": 17,
  46835. "tid": 1,
  46836. "ts": 1539815912099384,
  46837. "dur": 28,
  46838. "args": {
  46839. "name": "IteratorToStringHandle",
  46840. "op": "IteratorToStringHandle",
  46841. "input0": "IteratorV2"
  46842. }
  46843. },
  46844. {
  46845. "ph": "s",
  46846. "cat": "DataFlow",
  46847. "name": "IteratorV2",
  46848. "pid": 17,
  46849. "tid": 0,
  46850. "ts": 1539815912099358,
  46851. "id": 0
  46852. },
  46853. {
  46854. "ph": "t",
  46855. "cat": "DataFlow",
  46856. "name": "IteratorV2",
  46857. "pid": 17,
  46858. "tid": 1,
  46859. "ts": 1539815912099384,
  46860. "id": 0
  46861. },
  46862. {
  46863. "ph": "X",
  46864. "cat": "Op",
  46865. "name": "_Retval",
  46866. "pid": 17,
  46867. "tid": 0,
  46868. "ts": 1539815912100526,
  46869. "dur": 457,
  46870. "args": {
  46871. "name": "_retval_global_step/Read/ReadVariableOp_0_3",
  46872. "op": "_Retval",
  46873. "input0": "global_step/Read/ReadVariableOp/_1665"
  46874. }
  46875. },
  46876. {
  46877. "ph": "s",
  46878. "cat": "DataFlow",
  46879. "name": "global_step/Read/ReadVariableOp",
  46880. "pid": 41,
  46881. "tid": 0,
  46882. "ts": 1539815912099261,
  46883. "id": 1
  46884. },
  46885. {
  46886. "ph": "t",
  46887. "cat": "DataFlow",
  46888. "name": "global_step/Read/ReadVariableOp",
  46889. "pid": 17,
  46890. "tid": 0,
  46891. "ts": 1539815912100526,
  46892. "id": 1
  46893. },
  46894. {
  46895. "ph": "X",
  46896. "cat": "Op",
  46897. "name": "_Retval",
  46898. "pid": 17,
  46899. "tid": 1,
  46900. "ts": 1539815912100550,
  46901. "dur": 442,
  46902. "args": {
  46903. "name": "_retval_Identity_1_0_0",
  46904. "op": "_Retval",
  46905. "input0": "Identity_1/_1663"
  46906. }
  46907. },
  46908. {
  46909. "ph": "s",
  46910. "cat": "DataFlow",
  46911. "name": "Identity_1",
  46912. "pid": 41,
  46913. "tid": 0,
  46914. "ts": 1539815912100419,
  46915. "id": 2
  46916. },
  46917. {
  46918. "ph": "t",
  46919. "cat": "DataFlow",
  46920. "name": "Identity_1",
  46921. "pid": 17,
  46922. "tid": 1,
  46923. "ts": 1539815912100550,
  46924. "id": 2
  46925. },
  46926. {
  46927. "ph": "X",
  46928. "cat": "Op",
  46929. "name": "AddN",
  46930. "pid": 17,
  46931. "tid": 0,
  46932. "ts": 1539815916982457,
  46933. "dur": 1073,
  46934. "args": {
  46935. "name": "AddN",
  46936. "op": "AddN",
  46937. "input0": "loss/activation_1_loss/Mean/_1395",
  46938. "input1": "tower_1/loss/activation_1_loss/Mean/_1397",
  46939. "input2": "tower_2/loss/activation_1_loss/Mean/_1399",
  46940. "input3": "tower_3/loss/activation_1_loss/Mean/_1401"
  46941. }
  46942. },
  46943. {
  46944. "ph": "s",
  46945. "cat": "DataFlow",
  46946. "name": "loss/activation_1_loss/Mean",
  46947. "pid": 41,
  46948. "tid": 0,
  46949. "ts": 1539815916982204,
  46950. "id": 3
  46951. },
  46952. {
  46953. "ph": "t",
  46954. "cat": "DataFlow",
  46955. "name": "loss/activation_1_loss/Mean",
  46956. "pid": 17,
  46957. "tid": 0,
  46958. "ts": 1539815916982457,
  46959. "id": 3
  46960. },
  46961. {
  46962. "ph": "s",
  46963. "cat": "DataFlow",
  46964. "name": "tower_1/loss/activation_1_loss/Mean",
  46965. "pid": 39,
  46966. "tid": 0,
  46967. "ts": 1539815916982234,
  46968. "id": 4
  46969. },
  46970. {
  46971. "ph": "t",
  46972. "cat": "DataFlow",
  46973. "name": "tower_1/loss/activation_1_loss/Mean",
  46974. "pid": 17,
  46975. "tid": 0,
  46976. "ts": 1539815916982457,
  46977. "id": 4
  46978. },
  46979. {
  46980. "ph": "s",
  46981. "cat": "DataFlow",
  46982. "name": "tower_2/loss/activation_1_loss/Mean",
  46983. "pid": 31,
  46984. "tid": 0,
  46985. "ts": 1539815916982246,
  46986. "id": 5
  46987. },
  46988. {
  46989. "ph": "t",
  46990. "cat": "DataFlow",
  46991. "name": "tower_2/loss/activation_1_loss/Mean",
  46992. "pid": 17,
  46993. "tid": 0,
  46994. "ts": 1539815916982457,
  46995. "id": 5
  46996. },
  46997. {
  46998. "ph": "s",
  46999. "cat": "DataFlow",
  47000. "name": "tower_3/loss/activation_1_loss/Mean",
  47001. "pid": 19,
  47002. "tid": 0,
  47003. "ts": 1539815916982229,
  47004. "id": 6
  47005. },
  47006. {
  47007. "ph": "t",
  47008. "cat": "DataFlow",
  47009. "name": "tower_3/loss/activation_1_loss/Mean",
  47010. "pid": 17,
  47011. "tid": 0,
  47012. "ts": 1539815916982457,
  47013. "id": 6
  47014. },
  47015. {
  47016. "ph": "X",
  47017. "cat": "Op",
  47018. "name": "Mul",
  47019. "pid": 17,
  47020. "tid": 0,
  47021. "ts": 1539815916983547,
  47022. "dur": 8,
  47023. "args": {
  47024. "name": "truediv",
  47025. "op": "Mul",
  47026. "input0": "AddN",
  47027. "input1": "ConstantFolding/truediv_recip"
  47028. }
  47029. },
  47030. {
  47031. "ph": "X",
  47032. "cat": "Op",
  47033. "name": "Identity",
  47034. "pid": 17,
  47035. "tid": 0,
  47036. "ts": 1539815916983560,
  47037. "dur": 15,
  47038. "args": {
  47039. "name": "Identity_2",
  47040. "op": "Identity",
  47041. "input0": "truediv"
  47042. }
  47043. },
  47044. {
  47045. "ph": "X",
  47046. "cat": "Op",
  47047. "name": "_Retval",
  47048. "pid": 17,
  47049. "tid": 0,
  47050. "ts": 1539815916983588,
  47051. "dur": 4,
  47052. "args": {
  47053. "name": "_retval_Identity_2_0_1",
  47054. "op": "_Retval",
  47055. "input0": "Identity_2"
  47056. }
  47057. },
  47058. {
  47059. "ph": "X",
  47060. "cat": "Op",
  47061. "name": "ScalarSummary",
  47062. "pid": 17,
  47063. "tid": 0,
  47064. "ts": 1539815916983595,
  47065. "dur": 30,
  47066. "args": {
  47067. "name": "loss_1",
  47068. "op": "ScalarSummary",
  47069. "input0": "loss_1/tags",
  47070. "input1": "Identity_2"
  47071. }
  47072. },
  47073. {
  47074. "ph": "X",
  47075. "cat": "Op",
  47076. "name": "MergeSummary",
  47077. "pid": 17,
  47078. "tid": 0,
  47079. "ts": 1539815916983628,
  47080. "dur": 22,
  47081. "args": {
  47082. "name": "Merge/MergeSummary",
  47083. "op": "MergeSummary",
  47084. "input0": "loss_1"
  47085. }
  47086. },
  47087. {
  47088. "ph": "X",
  47089. "cat": "Op",
  47090. "name": "_Retval",
  47091. "pid": 17,
  47092. "tid": 0,
  47093. "ts": 1539815916983653,
  47094. "dur": 4,
  47095. "args": {
  47096. "name": "_retval_Merge/MergeSummary_0_2",
  47097. "op": "_Retval",
  47098. "input0": "Merge/MergeSummary"
  47099. }
  47100. },
  47101. {
  47102. "ph": "X",
  47103. "cat": "Op",
  47104. "name": "NoOp",
  47105. "pid": 19,
  47106. "tid": 0,
  47107. "ts": 1539815912098327,
  47108. "dur": 46,
  47109. "args": {
  47110. "name": "_SOURCE",
  47111. "op": "NoOp"
  47112. }
  47113. },
  47114. {
  47115. "ph": "X",
  47116. "cat": "Op",
  47117. "name": "Const",
  47118. "pid": 19,
  47119. "tid": 0,
  47120. "ts": 1539815912098406,
  47121. "dur": 19,
  47122. "args": {
  47123. "name": "training/TFOptimizer/concat_3/axis",
  47124. "op": "Const"
  47125. }
  47126. },
  47127. {
  47128. "ph": "X",
  47129. "cat": "Op",
  47130. "name": "VarHandleOp",
  47131. "pid": 19,
  47132. "tid": 0,
  47133. "ts": 1539815912098441,
  47134. "dur": 6,
  47135. "args": {
  47136. "name": "global_step/replica_3",
  47137. "op": "VarHandleOp"
  47138. }
  47139. },
  47140. {
  47141. "ph": "X",
  47142. "cat": "Op",
  47143. "name": "Const",
  47144. "pid": 19,
  47145. "tid": 0,
  47146. "ts": 1539815912098450,
  47147. "dur": 7,
  47148. "args": {
  47149. "name": "training/TFOptimizer/packed_3",
  47150. "op": "Const"
  47151. }
  47152. },
  47153. {
  47154. "ph": "X",
  47155. "cat": "Op",
  47156. "name": "Const",
  47157. "pid": 19,
  47158. "tid": 0,
  47159. "ts": 1539815912098500,
  47160. "dur": 14,
  47161. "args": {
  47162. "name": "training/TFOptimizer/split_7/split_dim",
  47163. "op": "Const"
  47164. }
  47165. },
  47166. {
  47167. "ph": "X",
  47168. "cat": "Op",
  47169. "name": "VarHandleOp",
  47170. "pid": 19,
  47171. "tid": 0,
  47172. "ts": 1539815912098519,
  47173. "dur": 6,
  47174. "args": {
  47175. "name": "batch_normalization/moving_mean/replica_3",
  47176. "op": "VarHandleOp"
  47177. }
  47178. },
  47179. {
  47180. "ph": "X",
  47181. "cat": "Op",
  47182. "name": "Const",
  47183. "pid": 19,
  47184. "tid": 0,
  47185. "ts": 1539815912098528,
  47186. "dur": 8,
  47187. "args": {
  47188. "name": "tower_3/batch_normalization/AssignMovingAvg/sub",
  47189. "op": "Const"
  47190. }
  47191. },
  47192. {
  47193. "ph": "X",
  47194. "cat": "Op",
  47195. "name": "VarHandleOp",
  47196. "pid": 19,
  47197. "tid": 0,
  47198. "ts": 1539815912098539,
  47199. "dur": 5,
  47200. "args": {
  47201. "name": "batch_normalization/moving_variance/replica_3",
  47202. "op": "VarHandleOp"
  47203. }
  47204. },
  47205. {
  47206. "ph": "X",
  47207. "cat": "Op",
  47208. "name": "VarHandleOp",
  47209. "pid": 19,
  47210. "tid": 0,
  47211. "ts": 1539815912098546,
  47212. "dur": 5,
  47213. "args": {
  47214. "name": "batch_normalization_1/moving_mean/replica_3",
  47215. "op": "VarHandleOp"
  47216. }
  47217. },
  47218. {
  47219. "ph": "X",
  47220. "cat": "Op",
  47221. "name": "VarHandleOp",
  47222. "pid": 19,
  47223. "tid": 0,
  47224. "ts": 1539815912098553,
  47225. "dur": 6,
  47226. "args": {
  47227. "name": "batch_normalization_1/moving_variance/replica_3",
  47228. "op": "VarHandleOp"
  47229. }
  47230. },
  47231. {
  47232. "ph": "X",
  47233. "cat": "Op",
  47234. "name": "VarHandleOp",
  47235. "pid": 19,
  47236. "tid": 0,
  47237. "ts": 1539815912098561,
  47238. "dur": 5,
  47239. "args": {
  47240. "name": "batch_normalization_2/moving_mean/replica_3",
  47241. "op": "VarHandleOp"
  47242. }
  47243. },
  47244. {
  47245. "ph": "X",
  47246. "cat": "Op",
  47247. "name": "VarHandleOp",
  47248. "pid": 19,
  47249. "tid": 0,
  47250. "ts": 1539815912098568,
  47251. "dur": 5,
  47252. "args": {
  47253. "name": "batch_normalization_2/moving_variance/replica_3",
  47254. "op": "VarHandleOp"
  47255. }
  47256. },
  47257. {
  47258. "ph": "X",
  47259. "cat": "Op",
  47260. "name": "Const",
  47261. "pid": 19,
  47262. "tid": 0,
  47263. "ts": 1539815912098575,
  47264. "dur": 5,
  47265. "args": {
  47266. "name": "tower_3/loss/activation_1_loss/sub",
  47267. "op": "Const"
  47268. }
  47269. },
  47270. {
  47271. "ph": "X",
  47272. "cat": "Op",
  47273. "name": "Const",
  47274. "pid": 19,
  47275. "tid": 0,
  47276. "ts": 1539815912098583,
  47277. "dur": 5,
  47278. "args": {
  47279. "name": "tower_3/loss/activation_1_loss/Const",
  47280. "op": "Const"
  47281. }
  47282. },
  47283. {
  47284. "ph": "X",
  47285. "cat": "Op",
  47286. "name": "Const",
  47287. "pid": 19,
  47288. "tid": 0,
  47289. "ts": 1539815912098602,
  47290. "dur": 7,
  47291. "args": {
  47292. "name": "tower_3/loss/activation_1_loss/Reshape/shape",
  47293. "op": "Const"
  47294. }
  47295. },
  47296. {
  47297. "ph": "X",
  47298. "cat": "Op",
  47299. "name": "Const",
  47300. "pid": 19,
  47301. "tid": 0,
  47302. "ts": 1539815912098612,
  47303. "dur": 5,
  47304. "args": {
  47305. "name": "tower_3/dropout_3/dropout/keep_prob",
  47306. "op": "Const"
  47307. }
  47308. },
  47309. {
  47310. "ph": "X",
  47311. "cat": "Op",
  47312. "name": "Const",
  47313. "pid": 19,
  47314. "tid": 0,
  47315. "ts": 1539815912098619,
  47316. "dur": 7,
  47317. "args": {
  47318. "name": "tower_3/dropout_2/dropout/keep_prob",
  47319. "op": "Const"
  47320. }
  47321. },
  47322. {
  47323. "ph": "X",
  47324. "cat": "Op",
  47325. "name": "VarHandleOp",
  47326. "pid": 19,
  47327. "tid": 0,
  47328. "ts": 1539815912098628,
  47329. "dur": 5,
  47330. "args": {
  47331. "name": "batch_normalization/gamma/replica_3",
  47332. "op": "VarHandleOp"
  47333. }
  47334. },
  47335. {
  47336. "ph": "X",
  47337. "cat": "Op",
  47338. "name": "VarHandleOp",
  47339. "pid": 19,
  47340. "tid": 0,
  47341. "ts": 1539815912098635,
  47342. "dur": 5,
  47343. "args": {
  47344. "name": "batch_normalization/beta/replica_3",
  47345. "op": "VarHandleOp"
  47346. }
  47347. },
  47348. {
  47349. "ph": "X",
  47350. "cat": "Op",
  47351. "name": "Const",
  47352. "pid": 19,
  47353. "tid": 0,
  47354. "ts": 1539815912098643,
  47355. "dur": 6,
  47356. "args": {
  47357. "name": "tower_3/batch_normalization/Const",
  47358. "op": "Const"
  47359. }
  47360. },
  47361. {
  47362. "ph": "X",
  47363. "cat": "Op",
  47364. "name": "VarHandleOp",
  47365. "pid": 19,
  47366. "tid": 0,
  47367. "ts": 1539815912098650,
  47368. "dur": 5,
  47369. "args": {
  47370. "name": "conv2d/kernel/replica_3",
  47371. "op": "VarHandleOp"
  47372. }
  47373. },
  47374. {
  47375. "ph": "X",
  47376. "cat": "Op",
  47377. "name": "VarHandleOp",
  47378. "pid": 19,
  47379. "tid": 0,
  47380. "ts": 1539815912098657,
  47381. "dur": 5,
  47382. "args": {
  47383. "name": "conv2d/bias/replica_3",
  47384. "op": "VarHandleOp"
  47385. }
  47386. },
  47387. {
  47388. "ph": "X",
  47389. "cat": "Op",
  47390. "name": "VarHandleOp",
  47391. "pid": 19,
  47392. "tid": 0,
  47393. "ts": 1539815912098664,
  47394. "dur": 6,
  47395. "args": {
  47396. "name": "batch_normalization_1/gamma/replica_3",
  47397. "op": "VarHandleOp"
  47398. }
  47399. },
  47400. {
  47401. "ph": "X",
  47402. "cat": "Op",
  47403. "name": "VarHandleOp",
  47404. "pid": 19,
  47405. "tid": 0,
  47406. "ts": 1539815912098672,
  47407. "dur": 5,
  47408. "args": {
  47409. "name": "batch_normalization_1/beta/replica_3",
  47410. "op": "VarHandleOp"
  47411. }
  47412. },
  47413. {
  47414. "ph": "X",
  47415. "cat": "Op",
  47416. "name": "VarHandleOp",
  47417. "pid": 19,
  47418. "tid": 0,
  47419. "ts": 1539815912098679,
  47420. "dur": 5,
  47421. "args": {
  47422. "name": "conv2d_1/kernel/replica_3",
  47423. "op": "VarHandleOp"
  47424. }
  47425. },
  47426. {
  47427. "ph": "X",
  47428. "cat": "Op",
  47429. "name": "VarHandleOp",
  47430. "pid": 19,
  47431. "tid": 0,
  47432. "ts": 1539815912098686,
  47433. "dur": 5,
  47434. "args": {
  47435. "name": "conv2d_1/bias/replica_3",
  47436. "op": "VarHandleOp"
  47437. }
  47438. },
  47439. {
  47440. "ph": "X",
  47441. "cat": "Op",
  47442. "name": "VarHandleOp",
  47443. "pid": 19,
  47444. "tid": 0,
  47445. "ts": 1539815912098693,
  47446. "dur": 4,
  47447. "args": {
  47448. "name": "batch_normalization_2/gamma/replica_3",
  47449. "op": "VarHandleOp"
  47450. }
  47451. },
  47452. {
  47453. "ph": "X",
  47454. "cat": "Op",
  47455. "name": "VarHandleOp",
  47456. "pid": 19,
  47457. "tid": 0,
  47458. "ts": 1539815912098720,
  47459. "dur": 6,
  47460. "args": {
  47461. "name": "batch_normalization_2/beta/replica_3",
  47462. "op": "VarHandleOp"
  47463. }
  47464. },
  47465. {
  47466. "ph": "X",
  47467. "cat": "Op",
  47468. "name": "Const",
  47469. "pid": 19,
  47470. "tid": 0,
  47471. "ts": 1539815912098729,
  47472. "dur": 6,
  47473. "args": {
  47474. "name": "ConstantFolding/tower_3/training/TFOptimizer/gradients/tower_3/dropout_3/dropout/div_grad/RealDiv_recip",
  47475. "op": "Const"
  47476. }
  47477. },
  47478. {
  47479. "ph": "X",
  47480. "cat": "Op",
  47481. "name": "VarHandleOp",
  47482. "pid": 19,
  47483. "tid": 0,
  47484. "ts": 1539815912098737,
  47485. "dur": 5,
  47486. "args": {
  47487. "name": "conv2d_2/kernel/replica_3",
  47488. "op": "VarHandleOp"
  47489. }
  47490. },
  47491. {
  47492. "ph": "X",
  47493. "cat": "Op",
  47494. "name": "VarHandleOp",
  47495. "pid": 19,
  47496. "tid": 0,
  47497. "ts": 1539815912098757,
  47498. "dur": 9,
  47499. "args": {
  47500. "name": "conv2d_2/bias/replica_3",
  47501. "op": "VarHandleOp"
  47502. }
  47503. },
  47504. {
  47505. "ph": "X",
  47506. "cat": "Op",
  47507. "name": "Const",
  47508. "pid": 19,
  47509. "tid": 0,
  47510. "ts": 1539815912098814,
  47511. "dur": 12,
  47512. "args": {
  47513. "name": "tower_3/flatten/strided_slice/stack_1",
  47514. "op": "Const"
  47515. }
  47516. },
  47517. {
  47518. "ph": "X",
  47519. "cat": "Op",
  47520. "name": "VarHandleOp",
  47521. "pid": 19,
  47522. "tid": 0,
  47523. "ts": 1539815912098829,
  47524. "dur": 13,
  47525. "args": {
  47526. "name": "dense/kernel/replica_3",
  47527. "op": "VarHandleOp"
  47528. }
  47529. },
  47530. {
  47531. "ph": "X",
  47532. "cat": "Op",
  47533. "name": "VarHandleOp",
  47534. "pid": 19,
  47535. "tid": 0,
  47536. "ts": 1539815912098864,
  47537. "dur": 11,
  47538. "args": {
  47539. "name": "dense/bias/replica_3",
  47540. "op": "VarHandleOp"
  47541. }
  47542. },
  47543. {
  47544. "ph": "X",
  47545. "cat": "Op",
  47546. "name": "VarHandleOp",
  47547. "pid": 19,
  47548. "tid": 0,
  47549. "ts": 1539815912098879,
  47550. "dur": 11,
  47551. "args": {
  47552. "name": "dense_1/kernel/replica_3",
  47553. "op": "VarHandleOp"
  47554. }
  47555. },
  47556. {
  47557. "ph": "X",
  47558. "cat": "Op",
  47559. "name": "VarHandleOp",
  47560. "pid": 19,
  47561. "tid": 0,
  47562. "ts": 1539815912098894,
  47563. "dur": 10,
  47564. "args": {
  47565. "name": "dense_1/bias/replica_3",
  47566. "op": "VarHandleOp"
  47567. }
  47568. },
  47569. {
  47570. "ph": "X",
  47571. "cat": "Op",
  47572. "name": "VarHandleOp",
  47573. "pid": 19,
  47574. "tid": 0,
  47575. "ts": 1539815912098907,
  47576. "dur": 7,
  47577. "args": {
  47578. "name": "batch_normalization/gamma/Adam/replica_3",
  47579. "op": "VarHandleOp"
  47580. }
  47581. },
  47582. {
  47583. "ph": "X",
  47584. "cat": "Op",
  47585. "name": "VarHandleOp",
  47586. "pid": 19,
  47587. "tid": 0,
  47588. "ts": 1539815912098917,
  47589. "dur": 7,
  47590. "args": {
  47591. "name": "batch_normalization/gamma/Adam_1/replica_3",
  47592. "op": "VarHandleOp"
  47593. }
  47594. },
  47595. {
  47596. "ph": "X",
  47597. "cat": "Op",
  47598. "name": "VarHandleOp",
  47599. "pid": 19,
  47600. "tid": 0,
  47601. "ts": 1539815912098926,
  47602. "dur": 11,
  47603. "args": {
  47604. "name": "batch_normalization/beta/Adam/replica_3",
  47605. "op": "VarHandleOp"
  47606. }
  47607. },
  47608. {
  47609. "ph": "X",
  47610. "cat": "Op",
  47611. "name": "VarHandleOp",
  47612. "pid": 19,
  47613. "tid": 0,
  47614. "ts": 1539815912098941,
  47615. "dur": 8,
  47616. "args": {
  47617. "name": "batch_normalization/beta/Adam_1/replica_3",
  47618. "op": "VarHandleOp"
  47619. }
  47620. },
  47621. {
  47622. "ph": "X",
  47623. "cat": "Op",
  47624. "name": "VarHandleOp",
  47625. "pid": 19,
  47626. "tid": 0,
  47627. "ts": 1539815912098953,
  47628. "dur": 10,
  47629. "args": {
  47630. "name": "conv2d_2/kernel/Adam/replica_3",
  47631. "op": "VarHandleOp"
  47632. }
  47633. },
  47634. {
  47635. "ph": "X",
  47636. "cat": "Op",
  47637. "name": "VarHandleOp",
  47638. "pid": 19,
  47639. "tid": 0,
  47640. "ts": 1539815912098967,
  47641. "dur": 8,
  47642. "args": {
  47643. "name": "conv2d_2/kernel/Adam_1/replica_3",
  47644. "op": "VarHandleOp"
  47645. }
  47646. },
  47647. {
  47648. "ph": "X",
  47649. "cat": "Op",
  47650. "name": "Const",
  47651. "pid": 19,
  47652. "tid": 0,
  47653. "ts": 1539815912098982,
  47654. "dur": 11,
  47655. "args": {
  47656. "name": "training/TFOptimizer/Shape_58",
  47657. "op": "Const"
  47658. }
  47659. },
  47660. {
  47661. "ph": "X",
  47662. "cat": "Op",
  47663. "name": "VarHandleOp",
  47664. "pid": 19,
  47665. "tid": 0,
  47666. "ts": 1539815912098996,
  47667. "dur": 9,
  47668. "args": {
  47669. "name": "conv2d_2/bias/Adam/replica_3",
  47670. "op": "VarHandleOp"
  47671. }
  47672. },
  47673. {
  47674. "ph": "X",
  47675. "cat": "Op",
  47676. "name": "VarHandleOp",
  47677. "pid": 19,
  47678. "tid": 0,
  47679. "ts": 1539815912099008,
  47680. "dur": 8,
  47681. "args": {
  47682. "name": "conv2d_2/bias/Adam_1/replica_3",
  47683. "op": "VarHandleOp"
  47684. }
  47685. },
  47686. {
  47687. "ph": "X",
  47688. "cat": "Op",
  47689. "name": "VarHandleOp",
  47690. "pid": 19,
  47691. "tid": 0,
  47692. "ts": 1539815912099025,
  47693. "dur": 9,
  47694. "args": {
  47695. "name": "dense/kernel/Adam/replica_3",
  47696. "op": "VarHandleOp"
  47697. }
  47698. },
  47699. {
  47700. "ph": "X",
  47701. "cat": "Op",
  47702. "name": "VarHandleOp",
  47703. "pid": 19,
  47704. "tid": 0,
  47705. "ts": 1539815912099038,
  47706. "dur": 10,
  47707. "args": {
  47708. "name": "dense/kernel/Adam_1/replica_3",
  47709. "op": "VarHandleOp"
  47710. }
  47711. },
  47712. {
  47713. "ph": "X",
  47714. "cat": "Op",
  47715. "name": "Const",
  47716. "pid": 19,
  47717. "tid": 0,
  47718. "ts": 1539815912099051,
  47719. "dur": 9,
  47720. "args": {
  47721. "name": "training/TFOptimizer/Shape_60",
  47722. "op": "Const"
  47723. }
  47724. },
  47725. {
  47726. "ph": "X",
  47727. "cat": "Op",
  47728. "name": "VarHandleOp",
  47729. "pid": 19,
  47730. "tid": 0,
  47731. "ts": 1539815912099063,
  47732. "dur": 9,
  47733. "args": {
  47734. "name": "dense/bias/Adam/replica_3",
  47735. "op": "VarHandleOp"
  47736. }
  47737. },
  47738. {
  47739. "ph": "X",
  47740. "cat": "Op",
  47741. "name": "VarHandleOp",
  47742. "pid": 19,
  47743. "tid": 0,
  47744. "ts": 1539815912099075,
  47745. "dur": 10,
  47746. "args": {
  47747. "name": "dense/bias/Adam_1/replica_3",
  47748. "op": "VarHandleOp"
  47749. }
  47750. },
  47751. {
  47752. "ph": "X",
  47753. "cat": "Op",
  47754. "name": "VarHandleOp",
  47755. "pid": 19,
  47756. "tid": 0,
  47757. "ts": 1539815912099088,
  47758. "dur": 9,
  47759. "args": {
  47760. "name": "dense_1/kernel/Adam/replica_3",
  47761. "op": "VarHandleOp"
  47762. }
  47763. },
  47764. {
  47765. "ph": "X",
  47766. "cat": "Op",
  47767. "name": "VarHandleOp",
  47768. "pid": 19,
  47769. "tid": 0,
  47770. "ts": 1539815912099100,
  47771. "dur": 9,
  47772. "args": {
  47773. "name": "dense_1/kernel/Adam_1/replica_3",
  47774. "op": "VarHandleOp"
  47775. }
  47776. },
  47777. {
  47778. "ph": "X",
  47779. "cat": "Op",
  47780. "name": "Const",
  47781. "pid": 19,
  47782. "tid": 0,
  47783. "ts": 1539815912099112,
  47784. "dur": 11,
  47785. "args": {
  47786. "name": "training/TFOptimizer/Shape_62",
  47787. "op": "Const"
  47788. }
  47789. },
  47790. {
  47791. "ph": "X",
  47792. "cat": "Op",
  47793. "name": "VarHandleOp",
  47794. "pid": 19,
  47795. "tid": 0,
  47796. "ts": 1539815912099127,
  47797. "dur": 10,
  47798. "args": {
  47799. "name": "dense_1/bias/Adam/replica_3",
  47800. "op": "VarHandleOp"
  47801. }
  47802. },
  47803. {
  47804. "ph": "X",
  47805. "cat": "Op",
  47806. "name": "VarHandleOp",
  47807. "pid": 19,
  47808. "tid": 0,
  47809. "ts": 1539815912099141,
  47810. "dur": 8,
  47811. "args": {
  47812. "name": "dense_1/bias/Adam_1/replica_3",
  47813. "op": "VarHandleOp"
  47814. }
  47815. },
  47816. {
  47817. "ph": "X",
  47818. "cat": "Op",
  47819. "name": "VarHandleOp",
  47820. "pid": 19,
  47821. "tid": 0,
  47822. "ts": 1539815912099157,
  47823. "dur": 10,
  47824. "args": {
  47825. "name": "conv2d/kernel/Adam/replica_3",
  47826. "op": "VarHandleOp"
  47827. }
  47828. },
  47829. {
  47830. "ph": "X",
  47831. "cat": "Op",
  47832. "name": "VarHandleOp",
  47833. "pid": 19,
  47834. "tid": 0,
  47835. "ts": 1539815912099170,
  47836. "dur": 10,
  47837. "args": {
  47838. "name": "conv2d/kernel/Adam_1/replica_3",
  47839. "op": "VarHandleOp"
  47840. }
  47841. },
  47842. {
  47843. "ph": "X",
  47844. "cat": "Op",
  47845. "name": "Const",
  47846. "pid": 19,
  47847. "tid": 0,
  47848. "ts": 1539815912099183,
  47849. "dur": 10,
  47850. "args": {
  47851. "name": "training/TFOptimizer/Shape_50",
  47852. "op": "Const"
  47853. }
  47854. },
  47855. {
  47856. "ph": "X",
  47857. "cat": "Op",
  47858. "name": "VarHandleOp",
  47859. "pid": 19,
  47860. "tid": 0,
  47861. "ts": 1539815912099196,
  47862. "dur": 9,
  47863. "args": {
  47864. "name": "conv2d/bias/Adam/replica_3",
  47865. "op": "VarHandleOp"
  47866. }
  47867. },
  47868. {
  47869. "ph": "X",
  47870. "cat": "Op",
  47871. "name": "VarHandleOp",
  47872. "pid": 19,
  47873. "tid": 0,
  47874. "ts": 1539815912099209,
  47875. "dur": 10,
  47876. "args": {
  47877. "name": "conv2d/bias/Adam_1/replica_3",
  47878. "op": "VarHandleOp"
  47879. }
  47880. },
  47881. {
  47882. "ph": "X",
  47883. "cat": "Op",
  47884. "name": "VarHandleOp",
  47885. "pid": 19,
  47886. "tid": 0,
  47887. "ts": 1539815912099224,
  47888. "dur": 8,
  47889. "args": {
  47890. "name": "batch_normalization_1/gamma/Adam/replica_3",
  47891. "op": "VarHandleOp"
  47892. }
  47893. },
  47894. {
  47895. "ph": "X",
  47896. "cat": "Op",
  47897. "name": "VarHandleOp",
  47898. "pid": 19,
  47899. "tid": 0,
  47900. "ts": 1539815912099242,
  47901. "dur": 9,
  47902. "args": {
  47903. "name": "batch_normalization_1/gamma/Adam_1/replica_3",
  47904. "op": "VarHandleOp"
  47905. }
  47906. },
  47907. {
  47908. "ph": "X",
  47909. "cat": "Op",
  47910. "name": "VarHandleOp",
  47911. "pid": 19,
  47912. "tid": 0,
  47913. "ts": 1539815912099254,
  47914. "dur": 9,
  47915. "args": {
  47916. "name": "batch_normalization_1/beta/Adam/replica_3",
  47917. "op": "VarHandleOp"
  47918. }
  47919. },
  47920. {
  47921. "ph": "X",
  47922. "cat": "Op",
  47923. "name": "VarHandleOp",
  47924. "pid": 19,
  47925. "tid": 0,
  47926. "ts": 1539815912099266,
  47927. "dur": 8,
  47928. "args": {
  47929. "name": "batch_normalization_1/beta/Adam_1/replica_3",
  47930. "op": "VarHandleOp"
  47931. }
  47932. },
  47933. {
  47934. "ph": "X",
  47935. "cat": "Op",
  47936. "name": "VarHandleOp",
  47937. "pid": 19,
  47938. "tid": 0,
  47939. "ts": 1539815912099277,
  47940. "dur": 9,
  47941. "args": {
  47942. "name": "conv2d_1/kernel/Adam/replica_3",
  47943. "op": "VarHandleOp"
  47944. }
  47945. },
  47946. {
  47947. "ph": "X",
  47948. "cat": "Op",
  47949. "name": "VarHandleOp",
  47950. "pid": 19,
  47951. "tid": 0,
  47952. "ts": 1539815912099291,
  47953. "dur": 9,
  47954. "args": {
  47955. "name": "conv2d_1/kernel/Adam_1/replica_3",
  47956. "op": "VarHandleOp"
  47957. }
  47958. },
  47959. {
  47960. "ph": "X",
  47961. "cat": "Op",
  47962. "name": "Const",
  47963. "pid": 19,
  47964. "tid": 0,
  47965. "ts": 1539815912099304,
  47966. "dur": 12,
  47967. "args": {
  47968. "name": "training/TFOptimizer/Shape_54",
  47969. "op": "Const"
  47970. }
  47971. },
  47972. {
  47973. "ph": "X",
  47974. "cat": "Op",
  47975. "name": "VarHandleOp",
  47976. "pid": 19,
  47977. "tid": 0,
  47978. "ts": 1539815912099319,
  47979. "dur": 9,
  47980. "args": {
  47981. "name": "conv2d_1/bias/Adam/replica_3",
  47982. "op": "VarHandleOp"
  47983. }
  47984. },
  47985. {
  47986. "ph": "X",
  47987. "cat": "Op",
  47988. "name": "VarHandleOp",
  47989. "pid": 19,
  47990. "tid": 0,
  47991. "ts": 1539815912099332,
  47992. "dur": 7,
  47993. "args": {
  47994. "name": "conv2d_1/bias/Adam_1/replica_3",
  47995. "op": "VarHandleOp"
  47996. }
  47997. },
  47998. {
  47999. "ph": "X",
  48000. "cat": "Op",
  48001. "name": "VarHandleOp",
  48002. "pid": 19,
  48003. "tid": 0,
  48004. "ts": 1539815912099342,
  48005. "dur": 7,
  48006. "args": {
  48007. "name": "batch_normalization_2/gamma/Adam/replica_3",
  48008. "op": "VarHandleOp"
  48009. }
  48010. },
  48011. {
  48012. "ph": "X",
  48013. "cat": "Op",
  48014. "name": "VarHandleOp",
  48015. "pid": 19,
  48016. "tid": 0,
  48017. "ts": 1539815912099351,
  48018. "dur": 7,
  48019. "args": {
  48020. "name": "batch_normalization_2/gamma/Adam_1/replica_3",
  48021. "op": "VarHandleOp"
  48022. }
  48023. },
  48024. {
  48025. "ph": "X",
  48026. "cat": "Op",
  48027. "name": "VarHandleOp",
  48028. "pid": 19,
  48029. "tid": 0,
  48030. "ts": 1539815912099361,
  48031. "dur": 6,
  48032. "args": {
  48033. "name": "batch_normalization_2/beta/Adam/replica_3",
  48034. "op": "VarHandleOp"
  48035. }
  48036. },
  48037. {
  48038. "ph": "X",
  48039. "cat": "Op",
  48040. "name": "VarHandleOp",
  48041. "pid": 19,
  48042. "tid": 0,
  48043. "ts": 1539815912099370,
  48044. "dur": 7,
  48045. "args": {
  48046. "name": "batch_normalization_2/beta/Adam_1/replica_3",
  48047. "op": "VarHandleOp"
  48048. }
  48049. },
  48050. {
  48051. "ph": "X",
  48052. "cat": "Op",
  48053. "name": "VarHandleOp",
  48054. "pid": 19,
  48055. "tid": 0,
  48056. "ts": 1539815912099379,
  48057. "dur": 9,
  48058. "args": {
  48059. "name": "training/TFOptimizer/beta1_power/replica_3",
  48060. "op": "VarHandleOp"
  48061. }
  48062. },
  48063. {
  48064. "ph": "X",
  48065. "cat": "Op",
  48066. "name": "VarHandleOp",
  48067. "pid": 19,
  48068. "tid": 0,
  48069. "ts": 1539815912099392,
  48070. "dur": 9,
  48071. "args": {
  48072. "name": "training/TFOptimizer/beta2_power/replica_3",
  48073. "op": "VarHandleOp"
  48074. }
  48075. },
  48076. {
  48077. "ph": "X",
  48078. "cat": "Op",
  48079. "name": "Const",
  48080. "pid": 19,
  48081. "tid": 0,
  48082. "ts": 1539815912099407,
  48083. "dur": 10,
  48084. "args": {
  48085. "name": "training/TFOptimizer/Reshape_48/shape",
  48086. "op": "Const"
  48087. }
  48088. },
  48089. {
  48090. "ph": "X",
  48091. "cat": "Op",
  48092. "name": "Const",
  48093. "pid": 19,
  48094. "tid": 0,
  48095. "ts": 1539815912099419,
  48096. "dur": 8,
  48097. "args": {
  48098. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout/dropout/div_grad/Shape_1",
  48099. "op": "Const"
  48100. }
  48101. },
  48102. {
  48103. "ph": "X",
  48104. "cat": "Op",
  48105. "name": "Const",
  48106. "pid": 19,
  48107. "tid": 0,
  48108. "ts": 1539815912099430,
  48109. "dur": 8,
  48110. "args": {
  48111. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value/Minimum_grad/zeros/Const",
  48112. "op": "Const"
  48113. }
  48114. },
  48115. {
  48116. "ph": "X",
  48117. "cat": "Op",
  48118. "name": "Const",
  48119. "pid": 19,
  48120. "tid": 0,
  48121. "ts": 1539815912099441,
  48122. "dur": 12,
  48123. "args": {
  48124. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/Mean_grad/Const",
  48125. "op": "Const"
  48126. }
  48127. },
  48128. {
  48129. "ph": "X",
  48130. "cat": "Op",
  48131. "name": "Const",
  48132. "pid": 19,
  48133. "tid": 0,
  48134. "ts": 1539815912099455,
  48135. "dur": 9,
  48136. "args": {
  48137. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits_grad/ExpandDims/dim",
  48138. "op": "Const"
  48139. }
  48140. },
  48141. {
  48142. "ph": "X",
  48143. "cat": "Op",
  48144. "name": "Const",
  48145. "pid": 19,
  48146. "tid": 0,
  48147. "ts": 1539815912099466,
  48148. "dur": 10,
  48149. "args": {
  48150. "name": "ConstantFolding/tower_3/training/TFOptimizer/gradients/tower_3/dropout/dropout/div_grad/RealDiv_recip",
  48151. "op": "Const"
  48152. }
  48153. },
  48154. {
  48155. "ph": "X",
  48156. "cat": "Op",
  48157. "name": "FunctionBufferingResource",
  48158. "pid": 19,
  48159. "tid": 1,
  48160. "ts": 1539815912099470,
  48161. "dur": 19,
  48162. "args": {
  48163. "name": "FunctionBufferingResource_3",
  48164. "op": "FunctionBufferingResource",
  48165. "input0": "IteratorToStringHandle/_1371",
  48166. "input1": "IteratorGetDevice/_1373"
  48167. }
  48168. },
  48169. {
  48170. "ph": "s",
  48171. "cat": "DataFlow",
  48172. "name": "IteratorToStringHandle",
  48173. "pid": 17,
  48174. "tid": 1,
  48175. "ts": 1539815912099412,
  48176. "id": 7
  48177. },
  48178. {
  48179. "ph": "t",
  48180. "cat": "DataFlow",
  48181. "name": "IteratorToStringHandle",
  48182. "pid": 19,
  48183. "tid": 1,
  48184. "ts": 1539815912099470,
  48185. "id": 7
  48186. },
  48187. {
  48188. "ph": "s",
  48189. "cat": "DataFlow",
  48190. "name": "IteratorGetDevice",
  48191. "pid": 17,
  48192. "tid": 0,
  48193. "ts": 1539815912099388,
  48194. "id": 8
  48195. },
  48196. {
  48197. "ph": "t",
  48198. "cat": "DataFlow",
  48199. "name": "IteratorGetDevice",
  48200. "pid": 19,
  48201. "tid": 1,
  48202. "ts": 1539815912099470,
  48203. "id": 8
  48204. },
  48205. {
  48206. "ph": "X",
  48207. "cat": "Op",
  48208. "name": "ReadVariableOp",
  48209. "pid": 19,
  48210. "tid": 0,
  48211. "ts": 1539815912099479,
  48212. "dur": 13,
  48213. "args": {
  48214. "name": "tower_3/batch_normalization/AssignMovingAvg/ReadVariableOp",
  48215. "op": "ReadVariableOp",
  48216. "input0": "batch_normalization/moving_mean/replica_3"
  48217. }
  48218. },
  48219. {
  48220. "ph": "X",
  48221. "cat": "Op",
  48222. "name": "ReadVariableOp",
  48223. "pid": 19,
  48224. "tid": 0,
  48225. "ts": 1539815912099519,
  48226. "dur": 12,
  48227. "args": {
  48228. "name": "tower_3/batch_normalization/AssignMovingAvg_1/ReadVariableOp",
  48229. "op": "ReadVariableOp",
  48230. "input0": "batch_normalization/moving_variance/replica_3"
  48231. }
  48232. },
  48233. {
  48234. "ph": "X",
  48235. "cat": "Op",
  48236. "name": "ReadVariableOp",
  48237. "pid": 19,
  48238. "tid": 0,
  48239. "ts": 1539815912099536,
  48240. "dur": 9,
  48241. "args": {
  48242. "name": "tower_3/batch_normalization_1/AssignMovingAvg/ReadVariableOp",
  48243. "op": "ReadVariableOp",
  48244. "input0": "batch_normalization_1/moving_mean/replica_3"
  48245. }
  48246. },
  48247. {
  48248. "ph": "X",
  48249. "cat": "Op",
  48250. "name": "ReadVariableOp",
  48251. "pid": 19,
  48252. "tid": 0,
  48253. "ts": 1539815912099548,
  48254. "dur": 8,
  48255. "args": {
  48256. "name": "tower_3/batch_normalization_1/AssignMovingAvg_1/ReadVariableOp",
  48257. "op": "ReadVariableOp",
  48258. "input0": "batch_normalization_1/moving_variance/replica_3"
  48259. }
  48260. },
  48261. {
  48262. "ph": "X",
  48263. "cat": "Op",
  48264. "name": "ReadVariableOp",
  48265. "pid": 19,
  48266. "tid": 0,
  48267. "ts": 1539815912099559,
  48268. "dur": 9,
  48269. "args": {
  48270. "name": "tower_3/batch_normalization_2/AssignMovingAvg/ReadVariableOp",
  48271. "op": "ReadVariableOp",
  48272. "input0": "batch_normalization_2/moving_mean/replica_3"
  48273. }
  48274. },
  48275. {
  48276. "ph": "X",
  48277. "cat": "Op",
  48278. "name": "ReadVariableOp",
  48279. "pid": 19,
  48280. "tid": 0,
  48281. "ts": 1539815912099571,
  48282. "dur": 8,
  48283. "args": {
  48284. "name": "tower_3/batch_normalization_2/AssignMovingAvg_1/ReadVariableOp",
  48285. "op": "ReadVariableOp",
  48286. "input0": "batch_normalization_2/moving_variance/replica_3"
  48287. }
  48288. },
  48289. {
  48290. "ph": "X",
  48291. "cat": "Op",
  48292. "name": "ReadVariableOp",
  48293. "pid": 19,
  48294. "tid": 0,
  48295. "ts": 1539815912099583,
  48296. "dur": 10,
  48297. "args": {
  48298. "name": "tower_3/batch_normalization/ReadVariableOp",
  48299. "op": "ReadVariableOp",
  48300. "input0": "batch_normalization/gamma/replica_3"
  48301. }
  48302. },
  48303. {
  48304. "ph": "X",
  48305. "cat": "Op",
  48306. "name": "ReadVariableOp",
  48307. "pid": 19,
  48308. "tid": 0,
  48309. "ts": 1539815912099596,
  48310. "dur": 8,
  48311. "args": {
  48312. "name": "tower_3/batch_normalization/ReadVariableOp_1",
  48313. "op": "ReadVariableOp",
  48314. "input0": "batch_normalization/beta/replica_3"
  48315. }
  48316. },
  48317. {
  48318. "ph": "X",
  48319. "cat": "Op",
  48320. "name": "ReadVariableOp",
  48321. "pid": 19,
  48322. "tid": 0,
  48323. "ts": 1539815912099607,
  48324. "dur": 9,
  48325. "args": {
  48326. "name": "tower_3/conv2d/Conv2D/ReadVariableOp",
  48327. "op": "ReadVariableOp",
  48328. "input0": "conv2d/kernel/replica_3"
  48329. }
  48330. },
  48331. {
  48332. "ph": "X",
  48333. "cat": "Op",
  48334. "name": "ReadVariableOp",
  48335. "pid": 19,
  48336. "tid": 0,
  48337. "ts": 1539815912099619,
  48338. "dur": 9,
  48339. "args": {
  48340. "name": "tower_3/conv2d/BiasAdd/ReadVariableOp",
  48341. "op": "ReadVariableOp",
  48342. "input0": "conv2d/bias/replica_3"
  48343. }
  48344. },
  48345. {
  48346. "ph": "X",
  48347. "cat": "Op",
  48348. "name": "ReadVariableOp",
  48349. "pid": 19,
  48350. "tid": 0,
  48351. "ts": 1539815912099630,
  48352. "dur": 10,
  48353. "args": {
  48354. "name": "tower_3/batch_normalization_1/ReadVariableOp",
  48355. "op": "ReadVariableOp",
  48356. "input0": "batch_normalization_1/gamma/replica_3"
  48357. }
  48358. },
  48359. {
  48360. "ph": "X",
  48361. "cat": "Op",
  48362. "name": "ReadVariableOp",
  48363. "pid": 19,
  48364. "tid": 0,
  48365. "ts": 1539815912099644,
  48366. "dur": 8,
  48367. "args": {
  48368. "name": "tower_3/batch_normalization_1/ReadVariableOp_1",
  48369. "op": "ReadVariableOp",
  48370. "input0": "batch_normalization_1/beta/replica_3"
  48371. }
  48372. },
  48373. {
  48374. "ph": "X",
  48375. "cat": "Op",
  48376. "name": "ReadVariableOp",
  48377. "pid": 19,
  48378. "tid": 0,
  48379. "ts": 1539815912099655,
  48380. "dur": 9,
  48381. "args": {
  48382. "name": "tower_3/conv2d_1/Conv2D/ReadVariableOp",
  48383. "op": "ReadVariableOp",
  48384. "input0": "conv2d_1/kernel/replica_3"
  48385. }
  48386. },
  48387. {
  48388. "ph": "X",
  48389. "cat": "Op",
  48390. "name": "ReadVariableOp",
  48391. "pid": 19,
  48392. "tid": 0,
  48393. "ts": 1539815912099667,
  48394. "dur": 10,
  48395. "args": {
  48396. "name": "tower_3/conv2d_1/BiasAdd/ReadVariableOp",
  48397. "op": "ReadVariableOp",
  48398. "input0": "conv2d_1/bias/replica_3"
  48399. }
  48400. },
  48401. {
  48402. "ph": "X",
  48403. "cat": "Op",
  48404. "name": "ReadVariableOp",
  48405. "pid": 19,
  48406. "tid": 0,
  48407. "ts": 1539815912099680,
  48408. "dur": 8,
  48409. "args": {
  48410. "name": "tower_3/batch_normalization_2/ReadVariableOp",
  48411. "op": "ReadVariableOp",
  48412. "input0": "batch_normalization_2/gamma/replica_3"
  48413. }
  48414. },
  48415. {
  48416. "ph": "X",
  48417. "cat": "Op",
  48418. "name": "ReadVariableOp",
  48419. "pid": 19,
  48420. "tid": 0,
  48421. "ts": 1539815912099691,
  48422. "dur": 8,
  48423. "args": {
  48424. "name": "tower_3/batch_normalization_2/ReadVariableOp_1",
  48425. "op": "ReadVariableOp",
  48426. "input0": "batch_normalization_2/beta/replica_3"
  48427. }
  48428. },
  48429. {
  48430. "ph": "X",
  48431. "cat": "Op",
  48432. "name": "ReadVariableOp",
  48433. "pid": 19,
  48434. "tid": 0,
  48435. "ts": 1539815912099702,
  48436. "dur": 10,
  48437. "args": {
  48438. "name": "tower_3/conv2d_2/Conv2D/ReadVariableOp",
  48439. "op": "ReadVariableOp",
  48440. "input0": "conv2d_2/kernel/replica_3"
  48441. }
  48442. },
  48443. {
  48444. "ph": "X",
  48445. "cat": "Op",
  48446. "name": "ReadVariableOp",
  48447. "pid": 19,
  48448. "tid": 0,
  48449. "ts": 1539815912099714,
  48450. "dur": 9,
  48451. "args": {
  48452. "name": "tower_3/conv2d_2/BiasAdd/ReadVariableOp",
  48453. "op": "ReadVariableOp",
  48454. "input0": "conv2d_2/bias/replica_3"
  48455. }
  48456. },
  48457. {
  48458. "ph": "X",
  48459. "cat": "Op",
  48460. "name": "ReadVariableOp",
  48461. "pid": 19,
  48462. "tid": 0,
  48463. "ts": 1539815912099726,
  48464. "dur": 9,
  48465. "args": {
  48466. "name": "tower_3/dense/MatMul/ReadVariableOp",
  48467. "op": "ReadVariableOp",
  48468. "input0": "dense/kernel/replica_3"
  48469. }
  48470. },
  48471. {
  48472. "ph": "X",
  48473. "cat": "Op",
  48474. "name": "ReadVariableOp",
  48475. "pid": 19,
  48476. "tid": 0,
  48477. "ts": 1539815912099738,
  48478. "dur": 8,
  48479. "args": {
  48480. "name": "tower_3/dense/BiasAdd/ReadVariableOp",
  48481. "op": "ReadVariableOp",
  48482. "input0": "dense/bias/replica_3"
  48483. }
  48484. },
  48485. {
  48486. "ph": "X",
  48487. "cat": "Op",
  48488. "name": "ReadVariableOp",
  48489. "pid": 19,
  48490. "tid": 0,
  48491. "ts": 1539815912099749,
  48492. "dur": 9,
  48493. "args": {
  48494. "name": "tower_3/dense_1/MatMul/ReadVariableOp",
  48495. "op": "ReadVariableOp",
  48496. "input0": "dense_1/kernel/replica_3"
  48497. }
  48498. },
  48499. {
  48500. "ph": "X",
  48501. "cat": "Op",
  48502. "name": "ReadVariableOp",
  48503. "pid": 19,
  48504. "tid": 0,
  48505. "ts": 1539815912099761,
  48506. "dur": 8,
  48507. "args": {
  48508. "name": "tower_3/dense_1/BiasAdd/ReadVariableOp",
  48509. "op": "ReadVariableOp",
  48510. "input0": "dense_1/bias/replica_3"
  48511. }
  48512. },
  48513. {
  48514. "ph": "X",
  48515. "cat": "Op",
  48516. "name": "ReadVariableOp",
  48517. "pid": 19,
  48518. "tid": 0,
  48519. "ts": 1539815912099772,
  48520. "dur": 8,
  48521. "args": {
  48522. "name": "training/TFOptimizer/Adam/update_3/update_batch_normalization/gamma/replica_3/ResourceApplyAdam/ReadVariableOp",
  48523. "op": "ReadVariableOp",
  48524. "input0": "training/TFOptimizer/beta1_power/replica_3"
  48525. }
  48526. },
  48527. {
  48528. "ph": "X",
  48529. "cat": "Op",
  48530. "name": "ReadVariableOp",
  48531. "pid": 19,
  48532. "tid": 0,
  48533. "ts": 1539815912099784,
  48534. "dur": 8,
  48535. "args": {
  48536. "name": "training/TFOptimizer/Adam/update_3_1/update_batch_normalization/beta/replica_3/ResourceApplyAdam/ReadVariableOp",
  48537. "op": "ReadVariableOp",
  48538. "input0": "training/TFOptimizer/beta1_power/replica_3"
  48539. }
  48540. },
  48541. {
  48542. "ph": "X",
  48543. "cat": "Op",
  48544. "name": "ReadVariableOp",
  48545. "pid": 19,
  48546. "tid": 0,
  48547. "ts": 1539815912099795,
  48548. "dur": 7,
  48549. "args": {
  48550. "name": "training/TFOptimizer/Adam/update_3_10/update_conv2d_2/kernel/replica_3/ResourceApplyAdam/ReadVariableOp",
  48551. "op": "ReadVariableOp",
  48552. "input0": "training/TFOptimizer/beta1_power/replica_3"
  48553. }
  48554. },
  48555. {
  48556. "ph": "X",
  48557. "cat": "Op",
  48558. "name": "ReadVariableOp",
  48559. "pid": 19,
  48560. "tid": 0,
  48561. "ts": 1539815912099806,
  48562. "dur": 7,
  48563. "args": {
  48564. "name": "training/TFOptimizer/Adam/update_3_11/update_conv2d_2/bias/replica_3/ResourceApplyAdam/ReadVariableOp",
  48565. "op": "ReadVariableOp",
  48566. "input0": "training/TFOptimizer/beta1_power/replica_3"
  48567. }
  48568. },
  48569. {
  48570. "ph": "X",
  48571. "cat": "Op",
  48572. "name": "ReadVariableOp",
  48573. "pid": 19,
  48574. "tid": 0,
  48575. "ts": 1539815912099816,
  48576. "dur": 8,
  48577. "args": {
  48578. "name": "training/TFOptimizer/Adam/update_3_12/update_dense/kernel/replica_3/ResourceApplyAdam/ReadVariableOp",
  48579. "op": "ReadVariableOp",
  48580. "input0": "training/TFOptimizer/beta1_power/replica_3"
  48581. }
  48582. },
  48583. {
  48584. "ph": "X",
  48585. "cat": "Op",
  48586. "name": "ReadVariableOp",
  48587. "pid": 19,
  48588. "tid": 0,
  48589. "ts": 1539815912099827,
  48590. "dur": 5,
  48591. "args": {
  48592. "name": "training/TFOptimizer/Adam/update_3_13/update_dense/bias/replica_3/ResourceApplyAdam/ReadVariableOp",
  48593. "op": "ReadVariableOp",
  48594. "input0": "training/TFOptimizer/beta1_power/replica_3"
  48595. }
  48596. },
  48597. {
  48598. "ph": "X",
  48599. "cat": "Op",
  48600. "name": "ReadVariableOp",
  48601. "pid": 19,
  48602. "tid": 0,
  48603. "ts": 1539815912099834,
  48604. "dur": 5,
  48605. "args": {
  48606. "name": "training/TFOptimizer/Adam/update_3_14/update_dense_1/kernel/replica_3/ResourceApplyAdam/ReadVariableOp",
  48607. "op": "ReadVariableOp",
  48608. "input0": "training/TFOptimizer/beta1_power/replica_3"
  48609. }
  48610. },
  48611. {
  48612. "ph": "X",
  48613. "cat": "Op",
  48614. "name": "ReadVariableOp",
  48615. "pid": 19,
  48616. "tid": 0,
  48617. "ts": 1539815912099841,
  48618. "dur": 5,
  48619. "args": {
  48620. "name": "training/TFOptimizer/Adam/update_3_15/update_dense_1/bias/replica_3/ResourceApplyAdam/ReadVariableOp",
  48621. "op": "ReadVariableOp",
  48622. "input0": "training/TFOptimizer/beta1_power/replica_3"
  48623. }
  48624. },
  48625. {
  48626. "ph": "X",
  48627. "cat": "Op",
  48628. "name": "ReadVariableOp",
  48629. "pid": 19,
  48630. "tid": 0,
  48631. "ts": 1539815912099848,
  48632. "dur": 4,
  48633. "args": {
  48634. "name": "training/TFOptimizer/Adam/update_3_2/update_conv2d/kernel/replica_3/ResourceApplyAdam/ReadVariableOp",
  48635. "op": "ReadVariableOp",
  48636. "input0": "training/TFOptimizer/beta1_power/replica_3"
  48637. }
  48638. },
  48639. {
  48640. "ph": "X",
  48641. "cat": "Op",
  48642. "name": "ReadVariableOp",
  48643. "pid": 19,
  48644. "tid": 0,
  48645. "ts": 1539815912099854,
  48646. "dur": 4,
  48647. "args": {
  48648. "name": "training/TFOptimizer/Adam/update_3_3/update_conv2d/bias/replica_3/ResourceApplyAdam/ReadVariableOp",
  48649. "op": "ReadVariableOp",
  48650. "input0": "training/TFOptimizer/beta1_power/replica_3"
  48651. }
  48652. },
  48653. {
  48654. "ph": "X",
  48655. "cat": "Op",
  48656. "name": "ReadVariableOp",
  48657. "pid": 19,
  48658. "tid": 0,
  48659. "ts": 1539815912099861,
  48660. "dur": 5,
  48661. "args": {
  48662. "name": "training/TFOptimizer/Adam/update_3_4/update_batch_normalization_1/gamma/replica_3/ResourceApplyAdam/ReadVariableOp",
  48663. "op": "ReadVariableOp",
  48664. "input0": "training/TFOptimizer/beta1_power/replica_3"
  48665. }
  48666. },
  48667. {
  48668. "ph": "X",
  48669. "cat": "Op",
  48670. "name": "ReadVariableOp",
  48671. "pid": 19,
  48672. "tid": 0,
  48673. "ts": 1539815912099868,
  48674. "dur": 4,
  48675. "args": {
  48676. "name": "training/TFOptimizer/Adam/update_3_5/update_batch_normalization_1/beta/replica_3/ResourceApplyAdam/ReadVariableOp",
  48677. "op": "ReadVariableOp",
  48678. "input0": "training/TFOptimizer/beta1_power/replica_3"
  48679. }
  48680. },
  48681. {
  48682. "ph": "X",
  48683. "cat": "Op",
  48684. "name": "ReadVariableOp",
  48685. "pid": 19,
  48686. "tid": 0,
  48687. "ts": 1539815912099874,
  48688. "dur": 5,
  48689. "args": {
  48690. "name": "training/TFOptimizer/Adam/update_3_6/update_conv2d_1/kernel/replica_3/ResourceApplyAdam/ReadVariableOp",
  48691. "op": "ReadVariableOp",
  48692. "input0": "training/TFOptimizer/beta1_power/replica_3"
  48693. }
  48694. },
  48695. {
  48696. "ph": "X",
  48697. "cat": "Op",
  48698. "name": "ReadVariableOp",
  48699. "pid": 19,
  48700. "tid": 0,
  48701. "ts": 1539815912099881,
  48702. "dur": 5,
  48703. "args": {
  48704. "name": "training/TFOptimizer/Adam/update_3_7/update_conv2d_1/bias/replica_3/ResourceApplyAdam/ReadVariableOp",
  48705. "op": "ReadVariableOp",
  48706. "input0": "training/TFOptimizer/beta1_power/replica_3"
  48707. }
  48708. },
  48709. {
  48710. "ph": "X",
  48711. "cat": "Op",
  48712. "name": "ReadVariableOp",
  48713. "pid": 19,
  48714. "tid": 0,
  48715. "ts": 1539815912099888,
  48716. "dur": 4,
  48717. "args": {
  48718. "name": "training/TFOptimizer/Adam/update_3_8/update_batch_normalization_2/gamma/replica_3/ResourceApplyAdam/ReadVariableOp",
  48719. "op": "ReadVariableOp",
  48720. "input0": "training/TFOptimizer/beta1_power/replica_3"
  48721. }
  48722. },
  48723. {
  48724. "ph": "X",
  48725. "cat": "Op",
  48726. "name": "ReadVariableOp",
  48727. "pid": 19,
  48728. "tid": 0,
  48729. "ts": 1539815912099893,
  48730. "dur": 6,
  48731. "args": {
  48732. "name": "training/TFOptimizer/Adam/update_3_9/update_batch_normalization_2/beta/replica_3/ResourceApplyAdam/ReadVariableOp",
  48733. "op": "ReadVariableOp",
  48734. "input0": "training/TFOptimizer/beta1_power/replica_3"
  48735. }
  48736. },
  48737. {
  48738. "ph": "X",
  48739. "cat": "Op",
  48740. "name": "ReadVariableOp",
  48741. "pid": 19,
  48742. "tid": 0,
  48743. "ts": 1539815912099901,
  48744. "dur": 5,
  48745. "args": {
  48746. "name": "training/TFOptimizer/Adam/update_3/update_batch_normalization/gamma/replica_3/ResourceApplyAdam/ReadVariableOp_1",
  48747. "op": "ReadVariableOp",
  48748. "input0": "training/TFOptimizer/beta2_power/replica_3"
  48749. }
  48750. },
  48751. {
  48752. "ph": "X",
  48753. "cat": "Op",
  48754. "name": "ReadVariableOp",
  48755. "pid": 19,
  48756. "tid": 0,
  48757. "ts": 1539815912099908,
  48758. "dur": 4,
  48759. "args": {
  48760. "name": "training/TFOptimizer/Adam/update_3_1/update_batch_normalization/beta/replica_3/ResourceApplyAdam/ReadVariableOp_1",
  48761. "op": "ReadVariableOp",
  48762. "input0": "training/TFOptimizer/beta2_power/replica_3"
  48763. }
  48764. },
  48765. {
  48766. "ph": "X",
  48767. "cat": "Op",
  48768. "name": "ReadVariableOp",
  48769. "pid": 19,
  48770. "tid": 0,
  48771. "ts": 1539815912099914,
  48772. "dur": 5,
  48773. "args": {
  48774. "name": "training/TFOptimizer/Adam/update_3_10/update_conv2d_2/kernel/replica_3/ResourceApplyAdam/ReadVariableOp_1",
  48775. "op": "ReadVariableOp",
  48776. "input0": "training/TFOptimizer/beta2_power/replica_3"
  48777. }
  48778. },
  48779. {
  48780. "ph": "X",
  48781. "cat": "Op",
  48782. "name": "ReadVariableOp",
  48783. "pid": 19,
  48784. "tid": 0,
  48785. "ts": 1539815912099921,
  48786. "dur": 4,
  48787. "args": {
  48788. "name": "training/TFOptimizer/Adam/update_3_11/update_conv2d_2/bias/replica_3/ResourceApplyAdam/ReadVariableOp_1",
  48789. "op": "ReadVariableOp",
  48790. "input0": "training/TFOptimizer/beta2_power/replica_3"
  48791. }
  48792. },
  48793. {
  48794. "ph": "X",
  48795. "cat": "Op",
  48796. "name": "ReadVariableOp",
  48797. "pid": 19,
  48798. "tid": 0,
  48799. "ts": 1539815912099927,
  48800. "dur": 4,
  48801. "args": {
  48802. "name": "training/TFOptimizer/Adam/update_3_12/update_dense/kernel/replica_3/ResourceApplyAdam/ReadVariableOp_1",
  48803. "op": "ReadVariableOp",
  48804. "input0": "training/TFOptimizer/beta2_power/replica_3"
  48805. }
  48806. },
  48807. {
  48808. "ph": "X",
  48809. "cat": "Op",
  48810. "name": "ReadVariableOp",
  48811. "pid": 19,
  48812. "tid": 0,
  48813. "ts": 1539815912099934,
  48814. "dur": 4,
  48815. "args": {
  48816. "name": "training/TFOptimizer/Adam/update_3_13/update_dense/bias/replica_3/ResourceApplyAdam/ReadVariableOp_1",
  48817. "op": "ReadVariableOp",
  48818. "input0": "training/TFOptimizer/beta2_power/replica_3"
  48819. }
  48820. },
  48821. {
  48822. "ph": "X",
  48823. "cat": "Op",
  48824. "name": "ReadVariableOp",
  48825. "pid": 19,
  48826. "tid": 0,
  48827. "ts": 1539815912099940,
  48828. "dur": 4,
  48829. "args": {
  48830. "name": "training/TFOptimizer/Adam/update_3_14/update_dense_1/kernel/replica_3/ResourceApplyAdam/ReadVariableOp_1",
  48831. "op": "ReadVariableOp",
  48832. "input0": "training/TFOptimizer/beta2_power/replica_3"
  48833. }
  48834. },
  48835. {
  48836. "ph": "X",
  48837. "cat": "Op",
  48838. "name": "ReadVariableOp",
  48839. "pid": 19,
  48840. "tid": 0,
  48841. "ts": 1539815912099946,
  48842. "dur": 5,
  48843. "args": {
  48844. "name": "training/TFOptimizer/Adam/update_3_15/update_dense_1/bias/replica_3/ResourceApplyAdam/ReadVariableOp_1",
  48845. "op": "ReadVariableOp",
  48846. "input0": "training/TFOptimizer/beta2_power/replica_3"
  48847. }
  48848. },
  48849. {
  48850. "ph": "X",
  48851. "cat": "Op",
  48852. "name": "ReadVariableOp",
  48853. "pid": 19,
  48854. "tid": 0,
  48855. "ts": 1539815912099954,
  48856. "dur": 4,
  48857. "args": {
  48858. "name": "training/TFOptimizer/Adam/update_3_2/update_conv2d/kernel/replica_3/ResourceApplyAdam/ReadVariableOp_1",
  48859. "op": "ReadVariableOp",
  48860. "input0": "training/TFOptimizer/beta2_power/replica_3"
  48861. }
  48862. },
  48863. {
  48864. "ph": "X",
  48865. "cat": "Op",
  48866. "name": "ReadVariableOp",
  48867. "pid": 19,
  48868. "tid": 0,
  48869. "ts": 1539815912099961,
  48870. "dur": 5,
  48871. "args": {
  48872. "name": "training/TFOptimizer/Adam/update_3_3/update_conv2d/bias/replica_3/ResourceApplyAdam/ReadVariableOp_1",
  48873. "op": "ReadVariableOp",
  48874. "input0": "training/TFOptimizer/beta2_power/replica_3"
  48875. }
  48876. },
  48877. {
  48878. "ph": "X",
  48879. "cat": "Op",
  48880. "name": "ReadVariableOp",
  48881. "pid": 19,
  48882. "tid": 0,
  48883. "ts": 1539815912099969,
  48884. "dur": 4,
  48885. "args": {
  48886. "name": "training/TFOptimizer/Adam/update_3_4/update_batch_normalization_1/gamma/replica_3/ResourceApplyAdam/ReadVariableOp_1",
  48887. "op": "ReadVariableOp",
  48888. "input0": "training/TFOptimizer/beta2_power/replica_3"
  48889. }
  48890. },
  48891. {
  48892. "ph": "X",
  48893. "cat": "Op",
  48894. "name": "ReadVariableOp",
  48895. "pid": 19,
  48896. "tid": 0,
  48897. "ts": 1539815912099975,
  48898. "dur": 4,
  48899. "args": {
  48900. "name": "training/TFOptimizer/Adam/update_3_5/update_batch_normalization_1/beta/replica_3/ResourceApplyAdam/ReadVariableOp_1",
  48901. "op": "ReadVariableOp",
  48902. "input0": "training/TFOptimizer/beta2_power/replica_3"
  48903. }
  48904. },
  48905. {
  48906. "ph": "X",
  48907. "cat": "Op",
  48908. "name": "ReadVariableOp",
  48909. "pid": 19,
  48910. "tid": 0,
  48911. "ts": 1539815912099981,
  48912. "dur": 5,
  48913. "args": {
  48914. "name": "training/TFOptimizer/Adam/update_3_6/update_conv2d_1/kernel/replica_3/ResourceApplyAdam/ReadVariableOp_1",
  48915. "op": "ReadVariableOp",
  48916. "input0": "training/TFOptimizer/beta2_power/replica_3"
  48917. }
  48918. },
  48919. {
  48920. "ph": "X",
  48921. "cat": "Op",
  48922. "name": "ReadVariableOp",
  48923. "pid": 19,
  48924. "tid": 0,
  48925. "ts": 1539815912099988,
  48926. "dur": 4,
  48927. "args": {
  48928. "name": "training/TFOptimizer/Adam/update_3_7/update_conv2d_1/bias/replica_3/ResourceApplyAdam/ReadVariableOp_1",
  48929. "op": "ReadVariableOp",
  48930. "input0": "training/TFOptimizer/beta2_power/replica_3"
  48931. }
  48932. },
  48933. {
  48934. "ph": "X",
  48935. "cat": "Op",
  48936. "name": "ReadVariableOp",
  48937. "pid": 19,
  48938. "tid": 0,
  48939. "ts": 1539815912099994,
  48940. "dur": 4,
  48941. "args": {
  48942. "name": "training/TFOptimizer/Adam/update_3_8/update_batch_normalization_2/gamma/replica_3/ResourceApplyAdam/ReadVariableOp_1",
  48943. "op": "ReadVariableOp",
  48944. "input0": "training/TFOptimizer/beta2_power/replica_3"
  48945. }
  48946. },
  48947. {
  48948. "ph": "X",
  48949. "cat": "Op",
  48950. "name": "ReadVariableOp",
  48951. "pid": 19,
  48952. "tid": 0,
  48953. "ts": 1539815912100000,
  48954. "dur": 6,
  48955. "args": {
  48956. "name": "training/TFOptimizer/Adam/update_3_9/update_batch_normalization_2/beta/replica_3/ResourceApplyAdam/ReadVariableOp_1",
  48957. "op": "ReadVariableOp",
  48958. "input0": "training/TFOptimizer/beta2_power/replica_3"
  48959. }
  48960. },
  48961. {
  48962. "ph": "X",
  48963. "cat": "Op",
  48964. "name": "FunctionBufferingResourceGetNext",
  48965. "pid": 19,
  48966. "tid": 1,
  48967. "ts": 1539815912099494,
  48968. "dur": 3455,
  48969. "args": {
  48970. "name": "FunctionBufferingResourceGetNext_3",
  48971. "op": "FunctionBufferingResourceGetNext",
  48972. "input0": "FunctionBufferingResource_3"
  48973. }
  48974. },
  48975. {
  48976. "ph": "X",
  48977. "cat": "Op",
  48978. "name": "Cast",
  48979. "pid": 19,
  48980. "tid": 0,
  48981. "ts": 1539815912102977,
  48982. "dur": 4347,
  48983. "args": {
  48984. "name": "tower_3/Cast",
  48985. "op": "Cast",
  48986. "input0": "FunctionBufferingResourceGetNext_3"
  48987. }
  48988. },
  48989. {
  48990. "ph": "s",
  48991. "cat": "DataFlow",
  48992. "name": "FunctionBufferingResourceGetNext_3",
  48993. "pid": 19,
  48994. "tid": 1,
  48995. "ts": 1539815912102949,
  48996. "id": 9
  48997. },
  48998. {
  48999. "ph": "t",
  49000. "cat": "DataFlow",
  49001. "name": "FunctionBufferingResourceGetNext_3",
  49002. "pid": 19,
  49003. "tid": 0,
  49004. "ts": 1539815912102977,
  49005. "id": 9
  49006. },
  49007. {
  49008. "ph": "X",
  49009. "cat": "Op",
  49010. "name": "Transpose",
  49011. "pid": 19,
  49012. "tid": 0,
  49013. "ts": 1539815912107335,
  49014. "dur": 11,
  49015. "args": {
  49016. "name": "tower_3/batch_normalization/FusedBatchNorm-0-TransposeNHWCToNCHW-LayoutOptimizer",
  49017. "op": "Transpose",
  49018. "input0": "tower_3/Cast",
  49019. "input1": "PermConstNHWCToNCHW-LayoutOptimizer/_1383"
  49020. }
  49021. },
  49022. {
  49023. "ph": "s",
  49024. "cat": "DataFlow",
  49025. "name": "PermConstNHWCToNCHW-LayoutOptimizer",
  49026. "pid": 41,
  49027. "tid": 0,
  49028. "ts": 1539815912099159,
  49029. "id": 10
  49030. },
  49031. {
  49032. "ph": "t",
  49033. "cat": "DataFlow",
  49034. "name": "PermConstNHWCToNCHW-LayoutOptimizer",
  49035. "pid": 19,
  49036. "tid": 0,
  49037. "ts": 1539815912107335,
  49038. "id": 10
  49039. },
  49040. {
  49041. "ph": "X",
  49042. "cat": "Op",
  49043. "name": "Cast",
  49044. "pid": 19,
  49045. "tid": 1,
  49046. "ts": 1539815912102979,
  49047. "dur": 4418,
  49048. "args": {
  49049. "name": "tower_3/Cast_1",
  49050. "op": "Cast",
  49051. "input0": "FunctionBufferingResourceGetNext_3:1"
  49052. }
  49053. },
  49054. {
  49055. "ph": "X",
  49056. "cat": "Op",
  49057. "name": "Reshape",
  49058. "pid": 19,
  49059. "tid": 0,
  49060. "ts": 1539815912107403,
  49061. "dur": 9,
  49062. "args": {
  49063. "name": "tower_3/loss/activation_1_loss/Reshape",
  49064. "op": "Reshape",
  49065. "input0": "tower_3/Cast_1",
  49066. "input1": "tower_3/loss/activation_1_loss/Reshape/shape"
  49067. }
  49068. },
  49069. {
  49070. "ph": "s",
  49071. "cat": "DataFlow",
  49072. "name": "tower_3/Cast_1",
  49073. "pid": 19,
  49074. "tid": 1,
  49075. "ts": 1539815912107397,
  49076. "id": 11
  49077. },
  49078. {
  49079. "ph": "t",
  49080. "cat": "DataFlow",
  49081. "name": "tower_3/Cast_1",
  49082. "pid": 19,
  49083. "tid": 0,
  49084. "ts": 1539815912107403,
  49085. "id": 11
  49086. },
  49087. {
  49088. "ph": "X",
  49089. "cat": "Op",
  49090. "name": "Cast",
  49091. "pid": 19,
  49092. "tid": 0,
  49093. "ts": 1539815912107415,
  49094. "dur": 34,
  49095. "args": {
  49096. "name": "tower_3/loss/activation_1_loss/Cast",
  49097. "op": "Cast",
  49098. "input0": "tower_3/loss/activation_1_loss/Reshape"
  49099. }
  49100. },
  49101. {
  49102. "ph": "X",
  49103. "cat": "Op",
  49104. "name": "FusedBatchNorm",
  49105. "pid": 19,
  49106. "tid": 2,
  49107. "ts": 1539815912107370,
  49108. "dur": 4787946,
  49109. "args": {
  49110. "name": "tower_3/batch_normalization/FusedBatchNorm",
  49111. "op": "FusedBatchNorm",
  49112. "input0": "tower_3/batch_normalization/FusedBatchNorm-0-TransposeNHWCToNCHW-LayoutOptimizer",
  49113. "input1": "tower_3/batch_normalization/ReadVariableOp",
  49114. "input2": "tower_3/batch_normalization/ReadVariableOp_1",
  49115. "input3": "tower_3/batch_normalization/Const",
  49116. "input4": "tower_3/batch_normalization/Const"
  49117. }
  49118. },
  49119. {
  49120. "ph": "s",
  49121. "cat": "DataFlow",
  49122. "name": "tower_3/batch_normalization/FusedBatchNorm-0-TransposeNHWCToNCHW-LayoutOptimizer",
  49123. "pid": 19,
  49124. "tid": 0,
  49125. "ts": 1539815912107346,
  49126. "id": 12
  49127. },
  49128. {
  49129. "ph": "t",
  49130. "cat": "DataFlow",
  49131. "name": "tower_3/batch_normalization/FusedBatchNorm-0-TransposeNHWCToNCHW-LayoutOptimizer",
  49132. "pid": 19,
  49133. "tid": 2,
  49134. "ts": 1539815912107370,
  49135. "id": 12
  49136. },
  49137. {
  49138. "ph": "s",
  49139. "cat": "DataFlow",
  49140. "name": "tower_3/batch_normalization/ReadVariableOp",
  49141. "pid": 19,
  49142. "tid": 0,
  49143. "ts": 1539815912099593,
  49144. "id": 13
  49145. },
  49146. {
  49147. "ph": "t",
  49148. "cat": "DataFlow",
  49149. "name": "tower_3/batch_normalization/ReadVariableOp",
  49150. "pid": 19,
  49151. "tid": 2,
  49152. "ts": 1539815912107370,
  49153. "id": 13
  49154. },
  49155. {
  49156. "ph": "s",
  49157. "cat": "DataFlow",
  49158. "name": "tower_3/batch_normalization/ReadVariableOp_1",
  49159. "pid": 19,
  49160. "tid": 0,
  49161. "ts": 1539815912099604,
  49162. "id": 14
  49163. },
  49164. {
  49165. "ph": "t",
  49166. "cat": "DataFlow",
  49167. "name": "tower_3/batch_normalization/ReadVariableOp_1",
  49168. "pid": 19,
  49169. "tid": 2,
  49170. "ts": 1539815912107370,
  49171. "id": 14
  49172. },
  49173. {
  49174. "ph": "s",
  49175. "cat": "DataFlow",
  49176. "name": "tower_3/batch_normalization/Const",
  49177. "pid": 19,
  49178. "tid": 0,
  49179. "ts": 1539815912098649,
  49180. "id": 15
  49181. },
  49182. {
  49183. "ph": "t",
  49184. "cat": "DataFlow",
  49185. "name": "tower_3/batch_normalization/Const",
  49186. "pid": 19,
  49187. "tid": 2,
  49188. "ts": 1539815912107370,
  49189. "id": 15
  49190. },
  49191. {
  49192. "ph": "s",
  49193. "cat": "DataFlow",
  49194. "name": "tower_3/batch_normalization/Const",
  49195. "pid": 19,
  49196. "tid": 0,
  49197. "ts": 1539815912098649,
  49198. "id": 16
  49199. },
  49200. {
  49201. "ph": "t",
  49202. "cat": "DataFlow",
  49203. "name": "tower_3/batch_normalization/Const",
  49204. "pid": 19,
  49205. "tid": 2,
  49206. "ts": 1539815912107370,
  49207. "id": 16
  49208. },
  49209. {
  49210. "ph": "X",
  49211. "cat": "Op",
  49212. "name": "Sub",
  49213. "pid": 19,
  49214. "tid": 0,
  49215. "ts": 1539815916895362,
  49216. "dur": 78,
  49217. "args": {
  49218. "name": "tower_3/batch_normalization/AssignMovingAvg/sub_1",
  49219. "op": "Sub",
  49220. "input0": "tower_3/batch_normalization/AssignMovingAvg/ReadVariableOp",
  49221. "input1": "tower_3/batch_normalization/FusedBatchNorm:1"
  49222. }
  49223. },
  49224. {
  49225. "ph": "s",
  49226. "cat": "DataFlow",
  49227. "name": "tower_3/batch_normalization/FusedBatchNorm:1",
  49228. "pid": 19,
  49229. "tid": 2,
  49230. "ts": 1539815916895316,
  49231. "id": 17
  49232. },
  49233. {
  49234. "ph": "t",
  49235. "cat": "DataFlow",
  49236. "name": "tower_3/batch_normalization/FusedBatchNorm:1",
  49237. "pid": 19,
  49238. "tid": 0,
  49239. "ts": 1539815916895362,
  49240. "id": 17
  49241. },
  49242. {
  49243. "ph": "X",
  49244. "cat": "Op",
  49245. "name": "Sub",
  49246. "pid": 19,
  49247. "tid": 0,
  49248. "ts": 1539815916895446,
  49249. "dur": 26,
  49250. "args": {
  49251. "name": "tower_3/batch_normalization/AssignMovingAvg_1/sub_1",
  49252. "op": "Sub",
  49253. "input0": "tower_3/batch_normalization/AssignMovingAvg_1/ReadVariableOp",
  49254. "input1": "tower_3/batch_normalization/FusedBatchNorm:2"
  49255. }
  49256. },
  49257. {
  49258. "ph": "s",
  49259. "cat": "DataFlow",
  49260. "name": "tower_3/batch_normalization/FusedBatchNorm:2",
  49261. "pid": 19,
  49262. "tid": 2,
  49263. "ts": 1539815916895316,
  49264. "id": 18
  49265. },
  49266. {
  49267. "ph": "t",
  49268. "cat": "DataFlow",
  49269. "name": "tower_3/batch_normalization/FusedBatchNorm:2",
  49270. "pid": 19,
  49271. "tid": 0,
  49272. "ts": 1539815916895446,
  49273. "id": 18
  49274. },
  49275. {
  49276. "ph": "X",
  49277. "cat": "Op",
  49278. "name": "Conv2D",
  49279. "pid": 19,
  49280. "tid": 0,
  49281. "ts": 1539815916895476,
  49282. "dur": 15244,
  49283. "args": {
  49284. "name": "tower_3/conv2d/Conv2D",
  49285. "op": "Conv2D",
  49286. "input0": "tower_3/batch_normalization/FusedBatchNorm",
  49287. "input1": "tower_3/conv2d/Conv2D/ReadVariableOp"
  49288. }
  49289. },
  49290. {
  49291. "ph": "s",
  49292. "cat": "DataFlow",
  49293. "name": "tower_3/batch_normalization/FusedBatchNorm",
  49294. "pid": 19,
  49295. "tid": 2,
  49296. "ts": 1539815916895316,
  49297. "id": 19
  49298. },
  49299. {
  49300. "ph": "t",
  49301. "cat": "DataFlow",
  49302. "name": "tower_3/batch_normalization/FusedBatchNorm",
  49303. "pid": 19,
  49304. "tid": 0,
  49305. "ts": 1539815916895476,
  49306. "id": 19
  49307. },
  49308. {
  49309. "ph": "X",
  49310. "cat": "Op",
  49311. "name": "ShapeN",
  49312. "pid": 19,
  49313. "tid": 0,
  49314. "ts": 1539815916910743,
  49315. "dur": 49,
  49316. "args": {
  49317. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/ShapeN",
  49318. "op": "ShapeN",
  49319. "input0": "tower_3/batch_normalization/FusedBatchNorm",
  49320. "input1": "tower_3/conv2d/Conv2D/ReadVariableOp"
  49321. }
  49322. },
  49323. {
  49324. "ph": "s",
  49325. "cat": "DataFlow",
  49326. "name": "tower_3/batch_normalization/FusedBatchNorm",
  49327. "pid": 19,
  49328. "tid": 2,
  49329. "ts": 1539815916895316,
  49330. "id": 20
  49331. },
  49332. {
  49333. "ph": "t",
  49334. "cat": "DataFlow",
  49335. "name": "tower_3/batch_normalization/FusedBatchNorm",
  49336. "pid": 19,
  49337. "tid": 0,
  49338. "ts": 1539815916910743,
  49339. "id": 20
  49340. },
  49341. {
  49342. "ph": "X",
  49343. "cat": "Op",
  49344. "name": "Mul",
  49345. "pid": 19,
  49346. "tid": 0,
  49347. "ts": 1539815916910796,
  49348. "dur": 58,
  49349. "args": {
  49350. "name": "tower_3/batch_normalization/AssignMovingAvg/mul",
  49351. "op": "Mul",
  49352. "input0": "tower_3/batch_normalization/AssignMovingAvg/sub_1",
  49353. "input1": "tower_3/batch_normalization/AssignMovingAvg/sub"
  49354. }
  49355. },
  49356. {
  49357. "ph": "X",
  49358. "cat": "Op",
  49359. "name": "Mul",
  49360. "pid": 19,
  49361. "tid": 0,
  49362. "ts": 1539815916910858,
  49363. "dur": 25,
  49364. "args": {
  49365. "name": "tower_3/batch_normalization/AssignMovingAvg_1/mul",
  49366. "op": "Mul",
  49367. "input0": "tower_3/batch_normalization/AssignMovingAvg_1/sub_1",
  49368. "input1": "tower_3/batch_normalization/AssignMovingAvg/sub"
  49369. }
  49370. },
  49371. {
  49372. "ph": "X",
  49373. "cat": "Op",
  49374. "name": "BiasAdd",
  49375. "pid": 19,
  49376. "tid": 0,
  49377. "ts": 1539815916910887,
  49378. "dur": 33,
  49379. "args": {
  49380. "name": "tower_3/conv2d/BiasAdd",
  49381. "op": "BiasAdd",
  49382. "input0": "tower_3/conv2d/Conv2D",
  49383. "input1": "tower_3/conv2d/BiasAdd/ReadVariableOp"
  49384. }
  49385. },
  49386. {
  49387. "ph": "X",
  49388. "cat": "Op",
  49389. "name": "Const",
  49390. "pid": 19,
  49391. "tid": 0,
  49392. "ts": 1539815916910924,
  49393. "dur": 8,
  49394. "args": {
  49395. "name": "ConstantFolding/tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/ShapeN-matshapes-1",
  49396. "op": "Const",
  49397. "input0": "^tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/ShapeN"
  49398. }
  49399. },
  49400. {
  49401. "ph": "X",
  49402. "cat": "Op",
  49403. "name": "AssignSubVariableOp",
  49404. "pid": 19,
  49405. "tid": 0,
  49406. "ts": 1539815916910935,
  49407. "dur": 2306,
  49408. "args": {
  49409. "name": "tower_3/batch_normalization/AssignMovingAvg/AssignSubVariableOp",
  49410. "op": "AssignSubVariableOp",
  49411. "input0": "batch_normalization/moving_mean/replica_3",
  49412. "input1": "tower_3/batch_normalization/AssignMovingAvg/mul"
  49413. }
  49414. },
  49415. {
  49416. "ph": "X",
  49417. "cat": "Op",
  49418. "name": "AssignSubVariableOp",
  49419. "pid": 19,
  49420. "tid": 0,
  49421. "ts": 1539815916913245,
  49422. "dur": 104,
  49423. "args": {
  49424. "name": "tower_3/batch_normalization/AssignMovingAvg_1/AssignSubVariableOp",
  49425. "op": "AssignSubVariableOp",
  49426. "input0": "batch_normalization/moving_variance/replica_3",
  49427. "input1": "tower_3/batch_normalization/AssignMovingAvg_1/mul"
  49428. }
  49429. },
  49430. {
  49431. "ph": "X",
  49432. "cat": "Op",
  49433. "name": "Elu",
  49434. "pid": 19,
  49435. "tid": 0,
  49436. "ts": 1539815916913354,
  49437. "dur": 29,
  49438. "args": {
  49439. "name": "tower_3/conv2d/Elu",
  49440. "op": "Elu",
  49441. "input0": "tower_3/conv2d/BiasAdd"
  49442. }
  49443. },
  49444. {
  49445. "ph": "X",
  49446. "cat": "Op",
  49447. "name": "MaxPool",
  49448. "pid": 19,
  49449. "tid": 0,
  49450. "ts": 1539815916913387,
  49451. "dur": 1742,
  49452. "args": {
  49453. "name": "tower_3/max_pooling2d/MaxPool",
  49454. "op": "MaxPool",
  49455. "input0": "tower_3/conv2d/Elu"
  49456. }
  49457. },
  49458. {
  49459. "ph": "X",
  49460. "cat": "Op",
  49461. "name": "Mul",
  49462. "pid": 19,
  49463. "tid": 0,
  49464. "ts": 1539815916915138,
  49465. "dur": 34,
  49466. "args": {
  49467. "name": "tower_3/dropout/dropout/div",
  49468. "op": "Mul",
  49469. "input0": "tower_3/max_pooling2d/MaxPool",
  49470. "input1": "ConstantFolding/tower_3/training/TFOptimizer/gradients/tower_3/dropout/dropout/div_grad/RealDiv_recip"
  49471. }
  49472. },
  49473. {
  49474. "ph": "X",
  49475. "cat": "Op",
  49476. "name": "Shape",
  49477. "pid": 19,
  49478. "tid": 0,
  49479. "ts": 1539815916915179,
  49480. "dur": 10,
  49481. "args": {
  49482. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout/dropout/div_grad/Shape",
  49483. "op": "Shape",
  49484. "input0": "tower_3/max_pooling2d/MaxPool"
  49485. }
  49486. },
  49487. {
  49488. "ph": "X",
  49489. "cat": "Op",
  49490. "name": "DataFormatVecPermute",
  49491. "pid": 19,
  49492. "tid": 0,
  49493. "ts": 1539815916915192,
  49494. "dur": 28,
  49495. "args": {
  49496. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout/dropout/div_grad/Shape-0-0-VecPermuteNCHWToNHWC-LayoutOptimizer",
  49497. "op": "DataFormatVecPermute",
  49498. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/dropout/dropout/div_grad/Shape"
  49499. }
  49500. },
  49501. {
  49502. "ph": "X",
  49503. "cat": "Op",
  49504. "name": "RandomUniform",
  49505. "pid": 19,
  49506. "tid": 0,
  49507. "ts": 1539815916915222,
  49508. "dur": 38,
  49509. "args": {
  49510. "name": "tower_3/dropout/dropout/random_uniform/RandomUniform",
  49511. "op": "RandomUniform",
  49512. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/dropout/dropout/div_grad/Shape-0-0-VecPermuteNCHWToNHWC-LayoutOptimizer"
  49513. }
  49514. },
  49515. {
  49516. "ph": "X",
  49517. "cat": "Op",
  49518. "name": "BroadcastGradientArgs",
  49519. "pid": 19,
  49520. "tid": 0,
  49521. "ts": 1539815916915267,
  49522. "dur": 14,
  49523. "args": {
  49524. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout/dropout/div_grad/BroadcastGradientArgs",
  49525. "op": "BroadcastGradientArgs",
  49526. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/dropout/dropout/div_grad/Shape-1-0-VecPermuteNCHWToNHWC-LayoutOptimizer",
  49527. "input1": "tower_3/training/TFOptimizer/gradients/tower_3/dropout/dropout/div_grad/Shape_1"
  49528. }
  49529. },
  49530. {
  49531. "ph": "X",
  49532. "cat": "Op",
  49533. "name": "Add",
  49534. "pid": 19,
  49535. "tid": 0,
  49536. "ts": 1539815916915284,
  49537. "dur": 40,
  49538. "args": {
  49539. "name": "tower_3/dropout/dropout/add",
  49540. "op": "Add",
  49541. "input0": "tower_3/dropout_2/dropout/keep_prob",
  49542. "input1": "tower_3/dropout/dropout/random_uniform/RandomUniform"
  49543. }
  49544. },
  49545. {
  49546. "ph": "X",
  49547. "cat": "Op",
  49548. "name": "Floor",
  49549. "pid": 19,
  49550. "tid": 0,
  49551. "ts": 1539815916915328,
  49552. "dur": 30,
  49553. "args": {
  49554. "name": "tower_3/dropout/dropout/Floor",
  49555. "op": "Floor",
  49556. "input0": "tower_3/dropout/dropout/add"
  49557. }
  49558. },
  49559. {
  49560. "ph": "X",
  49561. "cat": "Op",
  49562. "name": "Transpose",
  49563. "pid": 19,
  49564. "tid": 0,
  49565. "ts": 1539815916915361,
  49566. "dur": 2921,
  49567. "args": {
  49568. "name": "tower_3/dropout/dropout/mul-1-TransposeNHWCToNCHW-LayoutOptimizer",
  49569. "op": "Transpose",
  49570. "input0": "tower_3/dropout/dropout/Floor",
  49571. "input1": "PermConstNHWCToNCHW-LayoutOptimizer/_1383"
  49572. }
  49573. },
  49574. {
  49575. "ph": "s",
  49576. "cat": "DataFlow",
  49577. "name": "PermConstNHWCToNCHW-LayoutOptimizer",
  49578. "pid": 41,
  49579. "tid": 0,
  49580. "ts": 1539815912099159,
  49581. "id": 21
  49582. },
  49583. {
  49584. "ph": "t",
  49585. "cat": "DataFlow",
  49586. "name": "PermConstNHWCToNCHW-LayoutOptimizer",
  49587. "pid": 19,
  49588. "tid": 0,
  49589. "ts": 1539815916915361,
  49590. "id": 21
  49591. },
  49592. {
  49593. "ph": "X",
  49594. "cat": "Op",
  49595. "name": "Mul",
  49596. "pid": 19,
  49597. "tid": 0,
  49598. "ts": 1539815916918297,
  49599. "dur": 60,
  49600. "args": {
  49601. "name": "tower_3/dropout/dropout/mul",
  49602. "op": "Mul",
  49603. "input0": "tower_3/dropout/dropout/div",
  49604. "input1": "tower_3/dropout/dropout/mul-1-TransposeNHWCToNCHW-LayoutOptimizer"
  49605. }
  49606. },
  49607. {
  49608. "ph": "X",
  49609. "cat": "Op",
  49610. "name": "FusedBatchNorm",
  49611. "pid": 19,
  49612. "tid": 0,
  49613. "ts": 1539815916918360,
  49614. "dur": 66,
  49615. "args": {
  49616. "name": "tower_3/batch_normalization_1/FusedBatchNorm",
  49617. "op": "FusedBatchNorm",
  49618. "input0": "tower_3/dropout/dropout/mul",
  49619. "input1": "tower_3/batch_normalization_1/ReadVariableOp",
  49620. "input2": "tower_3/batch_normalization_1/ReadVariableOp_1",
  49621. "input3": "tower_3/batch_normalization/Const",
  49622. "input4": "tower_3/batch_normalization/Const"
  49623. }
  49624. },
  49625. {
  49626. "ph": "X",
  49627. "cat": "Op",
  49628. "name": "Sub",
  49629. "pid": 19,
  49630. "tid": 0,
  49631. "ts": 1539815916918435,
  49632. "dur": 28,
  49633. "args": {
  49634. "name": "tower_3/batch_normalization_1/AssignMovingAvg/sub_1",
  49635. "op": "Sub",
  49636. "input0": "tower_3/batch_normalization_1/AssignMovingAvg/ReadVariableOp",
  49637. "input1": "tower_3/batch_normalization_1/FusedBatchNorm:1"
  49638. }
  49639. },
  49640. {
  49641. "ph": "X",
  49642. "cat": "Op",
  49643. "name": "Sub",
  49644. "pid": 19,
  49645. "tid": 0,
  49646. "ts": 1539815916918467,
  49647. "dur": 19,
  49648. "args": {
  49649. "name": "tower_3/batch_normalization_1/AssignMovingAvg_1/sub_1",
  49650. "op": "Sub",
  49651. "input0": "tower_3/batch_normalization_1/AssignMovingAvg_1/ReadVariableOp",
  49652. "input1": "tower_3/batch_normalization_1/FusedBatchNorm:2"
  49653. }
  49654. },
  49655. {
  49656. "ph": "X",
  49657. "cat": "Op",
  49658. "name": "Conv2D",
  49659. "pid": 19,
  49660. "tid": 0,
  49661. "ts": 1539815916918489,
  49662. "dur": 20460,
  49663. "args": {
  49664. "name": "tower_3/conv2d_1/Conv2D",
  49665. "op": "Conv2D",
  49666. "input0": "tower_3/batch_normalization_1/FusedBatchNorm",
  49667. "input1": "tower_3/conv2d_1/Conv2D/ReadVariableOp"
  49668. }
  49669. },
  49670. {
  49671. "ph": "X",
  49672. "cat": "Op",
  49673. "name": "ShapeN",
  49674. "pid": 19,
  49675. "tid": 0,
  49676. "ts": 1539815916938960,
  49677. "dur": 15,
  49678. "args": {
  49679. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/ShapeN",
  49680. "op": "ShapeN",
  49681. "input0": "tower_3/batch_normalization_1/FusedBatchNorm",
  49682. "input1": "tower_3/conv2d_1/Conv2D/ReadVariableOp"
  49683. }
  49684. },
  49685. {
  49686. "ph": "X",
  49687. "cat": "Op",
  49688. "name": "Mul",
  49689. "pid": 19,
  49690. "tid": 0,
  49691. "ts": 1539815916938978,
  49692. "dur": 35,
  49693. "args": {
  49694. "name": "tower_3/batch_normalization_1/AssignMovingAvg/mul",
  49695. "op": "Mul",
  49696. "input0": "tower_3/batch_normalization_1/AssignMovingAvg/sub_1",
  49697. "input1": "tower_3/batch_normalization/AssignMovingAvg/sub"
  49698. }
  49699. },
  49700. {
  49701. "ph": "X",
  49702. "cat": "Op",
  49703. "name": "Mul",
  49704. "pid": 19,
  49705. "tid": 0,
  49706. "ts": 1539815916939018,
  49707. "dur": 21,
  49708. "args": {
  49709. "name": "tower_3/batch_normalization_1/AssignMovingAvg_1/mul",
  49710. "op": "Mul",
  49711. "input0": "tower_3/batch_normalization_1/AssignMovingAvg_1/sub_1",
  49712. "input1": "tower_3/batch_normalization/AssignMovingAvg/sub"
  49713. }
  49714. },
  49715. {
  49716. "ph": "X",
  49717. "cat": "Op",
  49718. "name": "BiasAdd",
  49719. "pid": 19,
  49720. "tid": 0,
  49721. "ts": 1539815916939043,
  49722. "dur": 20,
  49723. "args": {
  49724. "name": "tower_3/conv2d_1/BiasAdd",
  49725. "op": "BiasAdd",
  49726. "input0": "tower_3/conv2d_1/Conv2D",
  49727. "input1": "tower_3/conv2d_1/BiasAdd/ReadVariableOp"
  49728. }
  49729. },
  49730. {
  49731. "ph": "X",
  49732. "cat": "Op",
  49733. "name": "Const",
  49734. "pid": 19,
  49735. "tid": 0,
  49736. "ts": 1539815916939067,
  49737. "dur": 6,
  49738. "args": {
  49739. "name": "ConstantFolding/tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/ShapeN-matshapes-1",
  49740. "op": "Const",
  49741. "input0": "^tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/ShapeN"
  49742. }
  49743. },
  49744. {
  49745. "ph": "X",
  49746. "cat": "Op",
  49747. "name": "AssignSubVariableOp",
  49748. "pid": 19,
  49749. "tid": 0,
  49750. "ts": 1539815916939075,
  49751. "dur": 50,
  49752. "args": {
  49753. "name": "tower_3/batch_normalization_1/AssignMovingAvg/AssignSubVariableOp",
  49754. "op": "AssignSubVariableOp",
  49755. "input0": "batch_normalization_1/moving_mean/replica_3",
  49756. "input1": "tower_3/batch_normalization_1/AssignMovingAvg/mul"
  49757. }
  49758. },
  49759. {
  49760. "ph": "X",
  49761. "cat": "Op",
  49762. "name": "AssignSubVariableOp",
  49763. "pid": 19,
  49764. "tid": 0,
  49765. "ts": 1539815916939129,
  49766. "dur": 64,
  49767. "args": {
  49768. "name": "tower_3/batch_normalization_1/AssignMovingAvg_1/AssignSubVariableOp",
  49769. "op": "AssignSubVariableOp",
  49770. "input0": "batch_normalization_1/moving_variance/replica_3",
  49771. "input1": "tower_3/batch_normalization_1/AssignMovingAvg_1/mul"
  49772. }
  49773. },
  49774. {
  49775. "ph": "X",
  49776. "cat": "Op",
  49777. "name": "Elu",
  49778. "pid": 19,
  49779. "tid": 0,
  49780. "ts": 1539815916939197,
  49781. "dur": 25,
  49782. "args": {
  49783. "name": "tower_3/conv2d_1/Elu",
  49784. "op": "Elu",
  49785. "input0": "tower_3/conv2d_1/BiasAdd"
  49786. }
  49787. },
  49788. {
  49789. "ph": "X",
  49790. "cat": "Op",
  49791. "name": "MaxPool",
  49792. "pid": 19,
  49793. "tid": 0,
  49794. "ts": 1539815916939225,
  49795. "dur": 39,
  49796. "args": {
  49797. "name": "tower_3/max_pooling2d_1/MaxPool",
  49798. "op": "MaxPool",
  49799. "input0": "tower_3/conv2d_1/Elu"
  49800. }
  49801. },
  49802. {
  49803. "ph": "X",
  49804. "cat": "Op",
  49805. "name": "Mul",
  49806. "pid": 19,
  49807. "tid": 0,
  49808. "ts": 1539815916939272,
  49809. "dur": 27,
  49810. "args": {
  49811. "name": "tower_3/dropout_1/dropout/div",
  49812. "op": "Mul",
  49813. "input0": "tower_3/max_pooling2d_1/MaxPool",
  49814. "input1": "ConstantFolding/tower_3/training/TFOptimizer/gradients/tower_3/dropout/dropout/div_grad/RealDiv_recip"
  49815. }
  49816. },
  49817. {
  49818. "ph": "X",
  49819. "cat": "Op",
  49820. "name": "Shape",
  49821. "pid": 19,
  49822. "tid": 0,
  49823. "ts": 1539815916939305,
  49824. "dur": 9,
  49825. "args": {
  49826. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_1/dropout/div_grad/Shape",
  49827. "op": "Shape",
  49828. "input0": "tower_3/max_pooling2d_1/MaxPool"
  49829. }
  49830. },
  49831. {
  49832. "ph": "X",
  49833. "cat": "Op",
  49834. "name": "DataFormatVecPermute",
  49835. "pid": 19,
  49836. "tid": 0,
  49837. "ts": 1539815916939317,
  49838. "dur": 11,
  49839. "args": {
  49840. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_1/dropout/div_grad/Shape-0-1-VecPermuteNCHWToNHWC-LayoutOptimizer",
  49841. "op": "DataFormatVecPermute",
  49842. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_1/dropout/div_grad/Shape"
  49843. }
  49844. },
  49845. {
  49846. "ph": "X",
  49847. "cat": "Op",
  49848. "name": "BroadcastGradientArgs",
  49849. "pid": 19,
  49850. "tid": 0,
  49851. "ts": 1539815916939331,
  49852. "dur": 10,
  49853. "args": {
  49854. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_1/dropout/div_grad/BroadcastGradientArgs",
  49855. "op": "BroadcastGradientArgs",
  49856. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_1/dropout/div_grad/Shape-1-0-VecPermuteNCHWToNHWC-LayoutOptimizer",
  49857. "input1": "tower_3/training/TFOptimizer/gradients/tower_3/dropout/dropout/div_grad/Shape_1"
  49858. }
  49859. },
  49860. {
  49861. "ph": "X",
  49862. "cat": "Op",
  49863. "name": "RandomUniform",
  49864. "pid": 19,
  49865. "tid": 0,
  49866. "ts": 1539815916939344,
  49867. "dur": 25,
  49868. "args": {
  49869. "name": "tower_3/dropout_1/dropout/random_uniform/RandomUniform",
  49870. "op": "RandomUniform",
  49871. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_1/dropout/div_grad/Shape-2-0-VecPermuteNCHWToNHWC-LayoutOptimizer"
  49872. }
  49873. },
  49874. {
  49875. "ph": "X",
  49876. "cat": "Op",
  49877. "name": "Add",
  49878. "pid": 19,
  49879. "tid": 0,
  49880. "ts": 1539815916939374,
  49881. "dur": 23,
  49882. "args": {
  49883. "name": "tower_3/dropout_1/dropout/add",
  49884. "op": "Add",
  49885. "input0": "tower_3/dropout_2/dropout/keep_prob",
  49886. "input1": "tower_3/dropout_1/dropout/random_uniform/RandomUniform"
  49887. }
  49888. },
  49889. {
  49890. "ph": "X",
  49891. "cat": "Op",
  49892. "name": "Floor",
  49893. "pid": 19,
  49894. "tid": 0,
  49895. "ts": 1539815916939401,
  49896. "dur": 19,
  49897. "args": {
  49898. "name": "tower_3/dropout_1/dropout/Floor",
  49899. "op": "Floor",
  49900. "input0": "tower_3/dropout_1/dropout/add"
  49901. }
  49902. },
  49903. {
  49904. "ph": "X",
  49905. "cat": "Op",
  49906. "name": "Transpose",
  49907. "pid": 19,
  49908. "tid": 0,
  49909. "ts": 1539815916939423,
  49910. "dur": 26,
  49911. "args": {
  49912. "name": "tower_3/dropout_1/dropout/mul-1-TransposeNHWCToNCHW-LayoutOptimizer",
  49913. "op": "Transpose",
  49914. "input0": "tower_3/dropout_1/dropout/Floor",
  49915. "input1": "PermConstNHWCToNCHW-LayoutOptimizer/_1383"
  49916. }
  49917. },
  49918. {
  49919. "ph": "s",
  49920. "cat": "DataFlow",
  49921. "name": "PermConstNHWCToNCHW-LayoutOptimizer",
  49922. "pid": 41,
  49923. "tid": 0,
  49924. "ts": 1539815912099159,
  49925. "id": 22
  49926. },
  49927. {
  49928. "ph": "t",
  49929. "cat": "DataFlow",
  49930. "name": "PermConstNHWCToNCHW-LayoutOptimizer",
  49931. "pid": 19,
  49932. "tid": 0,
  49933. "ts": 1539815916939423,
  49934. "id": 22
  49935. },
  49936. {
  49937. "ph": "X",
  49938. "cat": "Op",
  49939. "name": "Mul",
  49940. "pid": 19,
  49941. "tid": 0,
  49942. "ts": 1539815916939455,
  49943. "dur": 21,
  49944. "args": {
  49945. "name": "tower_3/dropout_1/dropout/mul",
  49946. "op": "Mul",
  49947. "input0": "tower_3/dropout_1/dropout/div",
  49948. "input1": "tower_3/dropout_1/dropout/mul-1-TransposeNHWCToNCHW-LayoutOptimizer"
  49949. }
  49950. },
  49951. {
  49952. "ph": "X",
  49953. "cat": "Op",
  49954. "name": "FusedBatchNorm",
  49955. "pid": 19,
  49956. "tid": 0,
  49957. "ts": 1539815916939480,
  49958. "dur": 62,
  49959. "args": {
  49960. "name": "tower_3/batch_normalization_2/FusedBatchNorm",
  49961. "op": "FusedBatchNorm",
  49962. "input0": "tower_3/dropout_1/dropout/mul",
  49963. "input1": "tower_3/batch_normalization_2/ReadVariableOp",
  49964. "input2": "tower_3/batch_normalization_2/ReadVariableOp_1",
  49965. "input3": "tower_3/batch_normalization/Const",
  49966. "input4": "tower_3/batch_normalization/Const"
  49967. }
  49968. },
  49969. {
  49970. "ph": "X",
  49971. "cat": "Op",
  49972. "name": "Sub",
  49973. "pid": 19,
  49974. "tid": 0,
  49975. "ts": 1539815916939550,
  49976. "dur": 25,
  49977. "args": {
  49978. "name": "tower_3/batch_normalization_2/AssignMovingAvg/sub_1",
  49979. "op": "Sub",
  49980. "input0": "tower_3/batch_normalization_2/AssignMovingAvg/ReadVariableOp",
  49981. "input1": "tower_3/batch_normalization_2/FusedBatchNorm:1"
  49982. }
  49983. },
  49984. {
  49985. "ph": "X",
  49986. "cat": "Op",
  49987. "name": "Sub",
  49988. "pid": 19,
  49989. "tid": 0,
  49990. "ts": 1539815916939579,
  49991. "dur": 19,
  49992. "args": {
  49993. "name": "tower_3/batch_normalization_2/AssignMovingAvg_1/sub_1",
  49994. "op": "Sub",
  49995. "input0": "tower_3/batch_normalization_2/AssignMovingAvg_1/ReadVariableOp",
  49996. "input1": "tower_3/batch_normalization_2/FusedBatchNorm:2"
  49997. }
  49998. },
  49999. {
  50000. "ph": "X",
  50001. "cat": "Op",
  50002. "name": "Conv2D",
  50003. "pid": 19,
  50004. "tid": 0,
  50005. "ts": 1539815916939602,
  50006. "dur": 24669,
  50007. "args": {
  50008. "name": "tower_3/conv2d_2/Conv2D",
  50009. "op": "Conv2D",
  50010. "input0": "tower_3/batch_normalization_2/FusedBatchNorm",
  50011. "input1": "tower_3/conv2d_2/Conv2D/ReadVariableOp"
  50012. }
  50013. },
  50014. {
  50015. "ph": "X",
  50016. "cat": "Op",
  50017. "name": "ShapeN",
  50018. "pid": 19,
  50019. "tid": 0,
  50020. "ts": 1539815916964282,
  50021. "dur": 16,
  50022. "args": {
  50023. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/ShapeN",
  50024. "op": "ShapeN",
  50025. "input0": "tower_3/batch_normalization_2/FusedBatchNorm",
  50026. "input1": "tower_3/conv2d_2/Conv2D/ReadVariableOp"
  50027. }
  50028. },
  50029. {
  50030. "ph": "X",
  50031. "cat": "Op",
  50032. "name": "Mul",
  50033. "pid": 19,
  50034. "tid": 0,
  50035. "ts": 1539815916964301,
  50036. "dur": 27,
  50037. "args": {
  50038. "name": "tower_3/batch_normalization_2/AssignMovingAvg/mul",
  50039. "op": "Mul",
  50040. "input0": "tower_3/batch_normalization_2/AssignMovingAvg/sub_1",
  50041. "input1": "tower_3/batch_normalization/AssignMovingAvg/sub"
  50042. }
  50043. },
  50044. {
  50045. "ph": "X",
  50046. "cat": "Op",
  50047. "name": "Mul",
  50048. "pid": 19,
  50049. "tid": 0,
  50050. "ts": 1539815916964333,
  50051. "dur": 18,
  50052. "args": {
  50053. "name": "tower_3/batch_normalization_2/AssignMovingAvg_1/mul",
  50054. "op": "Mul",
  50055. "input0": "tower_3/batch_normalization_2/AssignMovingAvg_1/sub_1",
  50056. "input1": "tower_3/batch_normalization/AssignMovingAvg/sub"
  50057. }
  50058. },
  50059. {
  50060. "ph": "X",
  50061. "cat": "Op",
  50062. "name": "BiasAdd",
  50063. "pid": 19,
  50064. "tid": 0,
  50065. "ts": 1539815916964355,
  50066. "dur": 20,
  50067. "args": {
  50068. "name": "tower_3/conv2d_2/BiasAdd",
  50069. "op": "BiasAdd",
  50070. "input0": "tower_3/conv2d_2/Conv2D",
  50071. "input1": "tower_3/conv2d_2/BiasAdd/ReadVariableOp"
  50072. }
  50073. },
  50074. {
  50075. "ph": "X",
  50076. "cat": "Op",
  50077. "name": "Const",
  50078. "pid": 19,
  50079. "tid": 0,
  50080. "ts": 1539815916964378,
  50081. "dur": 6,
  50082. "args": {
  50083. "name": "ConstantFolding/tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/ShapeN-matshapes-1",
  50084. "op": "Const",
  50085. "input0": "^tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/ShapeN"
  50086. }
  50087. },
  50088. {
  50089. "ph": "X",
  50090. "cat": "Op",
  50091. "name": "AssignSubVariableOp",
  50092. "pid": 19,
  50093. "tid": 0,
  50094. "ts": 1539815916964386,
  50095. "dur": 49,
  50096. "args": {
  50097. "name": "tower_3/batch_normalization_2/AssignMovingAvg/AssignSubVariableOp",
  50098. "op": "AssignSubVariableOp",
  50099. "input0": "batch_normalization_2/moving_mean/replica_3",
  50100. "input1": "tower_3/batch_normalization_2/AssignMovingAvg/mul"
  50101. }
  50102. },
  50103. {
  50104. "ph": "X",
  50105. "cat": "Op",
  50106. "name": "AssignSubVariableOp",
  50107. "pid": 19,
  50108. "tid": 0,
  50109. "ts": 1539815916964438,
  50110. "dur": 39,
  50111. "args": {
  50112. "name": "tower_3/batch_normalization_2/AssignMovingAvg_1/AssignSubVariableOp",
  50113. "op": "AssignSubVariableOp",
  50114. "input0": "batch_normalization_2/moving_variance/replica_3",
  50115. "input1": "tower_3/batch_normalization_2/AssignMovingAvg_1/mul"
  50116. }
  50117. },
  50118. {
  50119. "ph": "X",
  50120. "cat": "Op",
  50121. "name": "Elu",
  50122. "pid": 19,
  50123. "tid": 0,
  50124. "ts": 1539815916964481,
  50125. "dur": 22,
  50126. "args": {
  50127. "name": "tower_3/conv2d_2/Elu",
  50128. "op": "Elu",
  50129. "input0": "tower_3/conv2d_2/BiasAdd"
  50130. }
  50131. },
  50132. {
  50133. "ph": "X",
  50134. "cat": "Op",
  50135. "name": "MaxPool",
  50136. "pid": 19,
  50137. "tid": 0,
  50138. "ts": 1539815916964506,
  50139. "dur": 37,
  50140. "args": {
  50141. "name": "tower_3/max_pooling2d_2/MaxPool",
  50142. "op": "MaxPool",
  50143. "input0": "tower_3/conv2d_2/Elu"
  50144. }
  50145. },
  50146. {
  50147. "ph": "X",
  50148. "cat": "Op",
  50149. "name": "Mul",
  50150. "pid": 19,
  50151. "tid": 0,
  50152. "ts": 1539815916964549,
  50153. "dur": 27,
  50154. "args": {
  50155. "name": "tower_3/dropout_2/dropout/div",
  50156. "op": "Mul",
  50157. "input0": "tower_3/max_pooling2d_2/MaxPool",
  50158. "input1": "ConstantFolding/tower_3/training/TFOptimizer/gradients/tower_3/dropout/dropout/div_grad/RealDiv_recip"
  50159. }
  50160. },
  50161. {
  50162. "ph": "X",
  50163. "cat": "Op",
  50164. "name": "Shape",
  50165. "pid": 19,
  50166. "tid": 0,
  50167. "ts": 1539815916964582,
  50168. "dur": 9,
  50169. "args": {
  50170. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_2/dropout/div_grad/Shape",
  50171. "op": "Shape",
  50172. "input0": "tower_3/max_pooling2d_2/MaxPool"
  50173. }
  50174. },
  50175. {
  50176. "ph": "X",
  50177. "cat": "Op",
  50178. "name": "DataFormatVecPermute",
  50179. "pid": 19,
  50180. "tid": 0,
  50181. "ts": 1539815916964593,
  50182. "dur": 11,
  50183. "args": {
  50184. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_2/dropout/div_grad/Shape-0-0-VecPermuteNCHWToNHWC-LayoutOptimizer",
  50185. "op": "DataFormatVecPermute",
  50186. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_2/dropout/div_grad/Shape"
  50187. }
  50188. },
  50189. {
  50190. "ph": "X",
  50191. "cat": "Op",
  50192. "name": "BroadcastGradientArgs",
  50193. "pid": 19,
  50194. "tid": 0,
  50195. "ts": 1539815916964607,
  50196. "dur": 8,
  50197. "args": {
  50198. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_2/dropout/div_grad/BroadcastGradientArgs",
  50199. "op": "BroadcastGradientArgs",
  50200. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_2/dropout/div_grad/Shape-0-0-VecPermuteNCHWToNHWC-LayoutOptimizer",
  50201. "input1": "tower_3/training/TFOptimizer/gradients/tower_3/dropout/dropout/div_grad/Shape_1"
  50202. }
  50203. },
  50204. {
  50205. "ph": "X",
  50206. "cat": "Op",
  50207. "name": "RandomUniform",
  50208. "pid": 19,
  50209. "tid": 0,
  50210. "ts": 1539815916964618,
  50211. "dur": 25,
  50212. "args": {
  50213. "name": "tower_3/dropout_2/dropout/random_uniform/RandomUniform",
  50214. "op": "RandomUniform",
  50215. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_2/dropout/div_grad/Shape-2-0-VecPermuteNCHWToNHWC-LayoutOptimizer"
  50216. }
  50217. },
  50218. {
  50219. "ph": "X",
  50220. "cat": "Op",
  50221. "name": "Add",
  50222. "pid": 19,
  50223. "tid": 0,
  50224. "ts": 1539815916964648,
  50225. "dur": 23,
  50226. "args": {
  50227. "name": "tower_3/dropout_2/dropout/add",
  50228. "op": "Add",
  50229. "input0": "tower_3/dropout_2/dropout/keep_prob",
  50230. "input1": "tower_3/dropout_2/dropout/random_uniform/RandomUniform"
  50231. }
  50232. },
  50233. {
  50234. "ph": "X",
  50235. "cat": "Op",
  50236. "name": "Floor",
  50237. "pid": 19,
  50238. "tid": 0,
  50239. "ts": 1539815916964674,
  50240. "dur": 19,
  50241. "args": {
  50242. "name": "tower_3/dropout_2/dropout/Floor",
  50243. "op": "Floor",
  50244. "input0": "tower_3/dropout_2/dropout/add"
  50245. }
  50246. },
  50247. {
  50248. "ph": "X",
  50249. "cat": "Op",
  50250. "name": "Transpose",
  50251. "pid": 19,
  50252. "tid": 0,
  50253. "ts": 1539815916964696,
  50254. "dur": 409,
  50255. "args": {
  50256. "name": "tower_3/dropout_2/dropout/mul-1-TransposeNHWCToNCHW-LayoutOptimizer",
  50257. "op": "Transpose",
  50258. "input0": "tower_3/dropout_2/dropout/Floor",
  50259. "input1": "PermConstNHWCToNCHW-LayoutOptimizer/_1383"
  50260. }
  50261. },
  50262. {
  50263. "ph": "s",
  50264. "cat": "DataFlow",
  50265. "name": "PermConstNHWCToNCHW-LayoutOptimizer",
  50266. "pid": 41,
  50267. "tid": 0,
  50268. "ts": 1539815912099159,
  50269. "id": 23
  50270. },
  50271. {
  50272. "ph": "t",
  50273. "cat": "DataFlow",
  50274. "name": "PermConstNHWCToNCHW-LayoutOptimizer",
  50275. "pid": 19,
  50276. "tid": 0,
  50277. "ts": 1539815916964696,
  50278. "id": 23
  50279. },
  50280. {
  50281. "ph": "X",
  50282. "cat": "Op",
  50283. "name": "Mul",
  50284. "pid": 19,
  50285. "tid": 0,
  50286. "ts": 1539815916965113,
  50287. "dur": 27,
  50288. "args": {
  50289. "name": "tower_3/dropout_2/dropout/mul",
  50290. "op": "Mul",
  50291. "input0": "tower_3/dropout_2/dropout/div",
  50292. "input1": "tower_3/dropout_2/dropout/mul-1-TransposeNHWCToNCHW-LayoutOptimizer"
  50293. }
  50294. },
  50295. {
  50296. "ph": "X",
  50297. "cat": "Op",
  50298. "name": "Shape",
  50299. "pid": 19,
  50300. "tid": 0,
  50301. "ts": 1539815916965144,
  50302. "dur": 28,
  50303. "args": {
  50304. "name": "tower_3/training/TFOptimizer/gradients/tower_3/flatten/Reshape_grad/Shape",
  50305. "op": "Shape",
  50306. "input0": "tower_3/dropout_2/dropout/mul"
  50307. }
  50308. },
  50309. {
  50310. "ph": "X",
  50311. "cat": "Op",
  50312. "name": "Transpose",
  50313. "pid": 19,
  50314. "tid": 0,
  50315. "ts": 1539815916965175,
  50316. "dur": 31,
  50317. "args": {
  50318. "name": "tower_3/dropout_2/dropout/mul-0-0-TransposeNCHWToNHWC-LayoutOptimizer",
  50319. "op": "Transpose",
  50320. "input0": "tower_3/dropout_2/dropout/mul",
  50321. "input1": "PermConstNCHWToNHWC-LayoutOptimizer/_1389"
  50322. }
  50323. },
  50324. {
  50325. "ph": "s",
  50326. "cat": "DataFlow",
  50327. "name": "PermConstNCHWToNHWC-LayoutOptimizer",
  50328. "pid": 41,
  50329. "tid": 0,
  50330. "ts": 1539815912099168,
  50331. "id": 24
  50332. },
  50333. {
  50334. "ph": "t",
  50335. "cat": "DataFlow",
  50336. "name": "PermConstNCHWToNHWC-LayoutOptimizer",
  50337. "pid": 19,
  50338. "tid": 0,
  50339. "ts": 1539815916965175,
  50340. "id": 24
  50341. },
  50342. {
  50343. "ph": "X",
  50344. "cat": "Op",
  50345. "name": "DataFormatVecPermute",
  50346. "pid": 19,
  50347. "tid": 0,
  50348. "ts": 1539815916965212,
  50349. "dur": 13,
  50350. "args": {
  50351. "name": "tower_3/training/TFOptimizer/gradients/tower_3/flatten/Reshape_grad/Shape-0-1-VecPermuteNCHWToNHWC-LayoutOptimizer",
  50352. "op": "DataFormatVecPermute",
  50353. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/flatten/Reshape_grad/Shape"
  50354. }
  50355. },
  50356. {
  50357. "ph": "X",
  50358. "cat": "Op",
  50359. "name": "StridedSlice",
  50360. "pid": 19,
  50361. "tid": 0,
  50362. "ts": 1539815916965228,
  50363. "dur": 11,
  50364. "args": {
  50365. "name": "tower_3/flatten/strided_slice",
  50366. "op": "StridedSlice",
  50367. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/flatten/Reshape_grad/Shape-1-0-VecPermuteNCHWToNHWC-LayoutOptimizer",
  50368. "input1": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/Mean_grad/Const",
  50369. "input2": "tower_3/flatten/strided_slice/stack_1",
  50370. "input3": "tower_3/flatten/strided_slice/stack_1"
  50371. }
  50372. },
  50373. {
  50374. "ph": "X",
  50375. "cat": "Op",
  50376. "name": "Pack",
  50377. "pid": 19,
  50378. "tid": 0,
  50379. "ts": 1539815916965242,
  50380. "dur": 18,
  50381. "args": {
  50382. "name": "tower_3/flatten/Reshape/shape",
  50383. "op": "Pack",
  50384. "input0": "tower_3/flatten/strided_slice",
  50385. "input1": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits_grad/ExpandDims/dim"
  50386. }
  50387. },
  50388. {
  50389. "ph": "X",
  50390. "cat": "Op",
  50391. "name": "Reshape",
  50392. "pid": 19,
  50393. "tid": 0,
  50394. "ts": 1539815916965263,
  50395. "dur": 23,
  50396. "args": {
  50397. "name": "tower_3/flatten/Reshape",
  50398. "op": "Reshape",
  50399. "input0": "tower_3/dropout_2/dropout/mul-0-0-TransposeNCHWToNHWC-LayoutOptimizer",
  50400. "input1": "tower_3/flatten/Reshape/shape"
  50401. }
  50402. },
  50403. {
  50404. "ph": "X",
  50405. "cat": "Op",
  50406. "name": "MatMul",
  50407. "pid": 19,
  50408. "tid": 0,
  50409. "ts": 1539815916965290,
  50410. "dur": 2719,
  50411. "args": {
  50412. "name": "tower_3/dense/MatMul",
  50413. "op": "MatMul",
  50414. "input0": "tower_3/flatten/Reshape",
  50415. "input1": "tower_3/dense/MatMul/ReadVariableOp"
  50416. }
  50417. },
  50418. {
  50419. "ph": "X",
  50420. "cat": "Op",
  50421. "name": "BiasAdd",
  50422. "pid": 19,
  50423. "tid": 0,
  50424. "ts": 1539815916968017,
  50425. "dur": 30,
  50426. "args": {
  50427. "name": "tower_3/dense/BiasAdd",
  50428. "op": "BiasAdd",
  50429. "input0": "tower_3/dense/MatMul",
  50430. "input1": "tower_3/dense/BiasAdd/ReadVariableOp"
  50431. }
  50432. },
  50433. {
  50434. "ph": "X",
  50435. "cat": "Op",
  50436. "name": "Elu",
  50437. "pid": 19,
  50438. "tid": 0,
  50439. "ts": 1539815916968051,
  50440. "dur": 21,
  50441. "args": {
  50442. "name": "tower_3/activation/Elu",
  50443. "op": "Elu",
  50444. "input0": "tower_3/dense/BiasAdd"
  50445. }
  50446. },
  50447. {
  50448. "ph": "X",
  50449. "cat": "Op",
  50450. "name": "Mul",
  50451. "pid": 19,
  50452. "tid": 0,
  50453. "ts": 1539815916968076,
  50454. "dur": 24,
  50455. "args": {
  50456. "name": "tower_3/dropout_3/dropout/div",
  50457. "op": "Mul",
  50458. "input0": "tower_3/activation/Elu",
  50459. "input1": "ConstantFolding/tower_3/training/TFOptimizer/gradients/tower_3/dropout_3/dropout/div_grad/RealDiv_recip"
  50460. }
  50461. },
  50462. {
  50463. "ph": "X",
  50464. "cat": "Op",
  50465. "name": "Shape",
  50466. "pid": 19,
  50467. "tid": 0,
  50468. "ts": 1539815916968106,
  50469. "dur": 10,
  50470. "args": {
  50471. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_3/dropout/div_grad/Shape",
  50472. "op": "Shape",
  50473. "input0": "tower_3/activation/Elu"
  50474. }
  50475. },
  50476. {
  50477. "ph": "X",
  50478. "cat": "Op",
  50479. "name": "RandomUniform",
  50480. "pid": 19,
  50481. "tid": 0,
  50482. "ts": 1539815916968118,
  50483. "dur": 25,
  50484. "args": {
  50485. "name": "tower_3/dropout_3/dropout/random_uniform/RandomUniform",
  50486. "op": "RandomUniform",
  50487. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_3/dropout/div_grad/Shape"
  50488. }
  50489. },
  50490. {
  50491. "ph": "X",
  50492. "cat": "Op",
  50493. "name": "BroadcastGradientArgs",
  50494. "pid": 19,
  50495. "tid": 0,
  50496. "ts": 1539815916968148,
  50497. "dur": 12,
  50498. "args": {
  50499. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_3/dropout/div_grad/BroadcastGradientArgs",
  50500. "op": "BroadcastGradientArgs",
  50501. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_3/dropout/div_grad/Shape",
  50502. "input1": "tower_3/training/TFOptimizer/gradients/tower_3/dropout/dropout/div_grad/Shape_1"
  50503. }
  50504. },
  50505. {
  50506. "ph": "X",
  50507. "cat": "Op",
  50508. "name": "Add",
  50509. "pid": 19,
  50510. "tid": 0,
  50511. "ts": 1539815916968164,
  50512. "dur": 27,
  50513. "args": {
  50514. "name": "tower_3/dropout_3/dropout/add",
  50515. "op": "Add",
  50516. "input0": "tower_3/dropout_3/dropout/keep_prob",
  50517. "input1": "tower_3/dropout_3/dropout/random_uniform/RandomUniform"
  50518. }
  50519. },
  50520. {
  50521. "ph": "X",
  50522. "cat": "Op",
  50523. "name": "Floor",
  50524. "pid": 19,
  50525. "tid": 0,
  50526. "ts": 1539815916968194,
  50527. "dur": 21,
  50528. "args": {
  50529. "name": "tower_3/dropout_3/dropout/Floor",
  50530. "op": "Floor",
  50531. "input0": "tower_3/dropout_3/dropout/add"
  50532. }
  50533. },
  50534. {
  50535. "ph": "X",
  50536. "cat": "Op",
  50537. "name": "Mul",
  50538. "pid": 19,
  50539. "tid": 0,
  50540. "ts": 1539815916968218,
  50541. "dur": 20,
  50542. "args": {
  50543. "name": "tower_3/dropout_3/dropout/mul",
  50544. "op": "Mul",
  50545. "input0": "tower_3/dropout_3/dropout/div",
  50546. "input1": "tower_3/dropout_3/dropout/Floor"
  50547. }
  50548. },
  50549. {
  50550. "ph": "X",
  50551. "cat": "Op",
  50552. "name": "MatMul",
  50553. "pid": 19,
  50554. "tid": 0,
  50555. "ts": 1539815916968242,
  50556. "dur": 32,
  50557. "args": {
  50558. "name": "tower_3/dense_1/MatMul",
  50559. "op": "MatMul",
  50560. "input0": "tower_3/dropout_3/dropout/mul",
  50561. "input1": "tower_3/dense_1/MatMul/ReadVariableOp"
  50562. }
  50563. },
  50564. {
  50565. "ph": "X",
  50566. "cat": "Op",
  50567. "name": "BiasAdd",
  50568. "pid": 19,
  50569. "tid": 0,
  50570. "ts": 1539815916968278,
  50571. "dur": 21,
  50572. "args": {
  50573. "name": "tower_3/dense_1/BiasAdd",
  50574. "op": "BiasAdd",
  50575. "input0": "tower_3/dense_1/MatMul",
  50576. "input1": "tower_3/dense_1/BiasAdd/ReadVariableOp"
  50577. }
  50578. },
  50579. {
  50580. "ph": "X",
  50581. "cat": "Op",
  50582. "name": "Softmax",
  50583. "pid": 19,
  50584. "tid": 0,
  50585. "ts": 1539815916968302,
  50586. "dur": 3117,
  50587. "args": {
  50588. "name": "tower_3/activation_1/Softmax",
  50589. "op": "Softmax",
  50590. "input0": "tower_3/dense_1/BiasAdd"
  50591. }
  50592. },
  50593. {
  50594. "ph": "X",
  50595. "cat": "Op",
  50596. "name": "Minimum",
  50597. "pid": 19,
  50598. "tid": 0,
  50599. "ts": 1539815916971423,
  50600. "dur": 1191,
  50601. "args": {
  50602. "name": "tower_3/loss/activation_1_loss/clip_by_value/Minimum",
  50603. "op": "Minimum",
  50604. "input0": "tower_3/activation_1/Softmax",
  50605. "input1": "tower_3/loss/activation_1_loss/sub"
  50606. }
  50607. },
  50608. {
  50609. "ph": "X",
  50610. "cat": "Op",
  50611. "name": "LessEqual",
  50612. "pid": 19,
  50613. "tid": 0,
  50614. "ts": 1539815916972618,
  50615. "dur": 1555,
  50616. "args": {
  50617. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value/Minimum_grad/LessEqual",
  50618. "op": "LessEqual",
  50619. "input0": "tower_3/activation_1/Softmax",
  50620. "input1": "tower_3/loss/activation_1_loss/sub"
  50621. }
  50622. },
  50623. {
  50624. "ph": "X",
  50625. "cat": "Op",
  50626. "name": "Shape",
  50627. "pid": 19,
  50628. "tid": 0,
  50629. "ts": 1539815916974180,
  50630. "dur": 23,
  50631. "args": {
  50632. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value/Minimum_grad/Shape",
  50633. "op": "Shape",
  50634. "input0": "tower_3/activation_1/Softmax"
  50635. }
  50636. },
  50637. {
  50638. "ph": "X",
  50639. "cat": "Op",
  50640. "name": "Maximum",
  50641. "pid": 19,
  50642. "tid": 0,
  50643. "ts": 1539815916974207,
  50644. "dur": 56,
  50645. "args": {
  50646. "name": "tower_3/loss/activation_1_loss/clip_by_value",
  50647. "op": "Maximum",
  50648. "input0": "tower_3/loss/activation_1_loss/clip_by_value/Minimum",
  50649. "input1": "tower_3/loss/activation_1_loss/Const"
  50650. }
  50651. },
  50652. {
  50653. "ph": "X",
  50654. "cat": "Op",
  50655. "name": "GreaterEqual",
  50656. "pid": 19,
  50657. "tid": 0,
  50658. "ts": 1539815916974285,
  50659. "dur": 1534,
  50660. "args": {
  50661. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value_grad/GreaterEqual",
  50662. "op": "GreaterEqual",
  50663. "input0": "tower_3/loss/activation_1_loss/clip_by_value/Minimum",
  50664. "input1": "tower_3/loss/activation_1_loss/Const"
  50665. }
  50666. },
  50667. {
  50668. "ph": "X",
  50669. "cat": "Op",
  50670. "name": "Shape",
  50671. "pid": 19,
  50672. "tid": 0,
  50673. "ts": 1539815916975824,
  50674. "dur": 12,
  50675. "args": {
  50676. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value_grad/Shape",
  50677. "op": "Shape",
  50678. "input0": "tower_3/loss/activation_1_loss/clip_by_value/Minimum"
  50679. }
  50680. },
  50681. {
  50682. "ph": "X",
  50683. "cat": "Op",
  50684. "name": "BroadcastGradientArgs",
  50685. "pid": 19,
  50686. "tid": 0,
  50687. "ts": 1539815916975839,
  50688. "dur": 10,
  50689. "args": {
  50690. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value/Minimum_grad/BroadcastGradientArgs",
  50691. "op": "BroadcastGradientArgs",
  50692. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value/Minimum_grad/Shape",
  50693. "input1": "tower_3/training/TFOptimizer/gradients/tower_3/dropout/dropout/div_grad/Shape_1"
  50694. }
  50695. },
  50696. {
  50697. "ph": "X",
  50698. "cat": "Op",
  50699. "name": "Log",
  50700. "pid": 19,
  50701. "tid": 0,
  50702. "ts": 1539815916975851,
  50703. "dur": 30,
  50704. "args": {
  50705. "name": "tower_3/loss/activation_1_loss/Log",
  50706. "op": "Log",
  50707. "input0": "tower_3/loss/activation_1_loss/clip_by_value"
  50708. }
  50709. },
  50710. {
  50711. "ph": "X",
  50712. "cat": "Op",
  50713. "name": "BroadcastGradientArgs",
  50714. "pid": 19,
  50715. "tid": 0,
  50716. "ts": 1539815916975885,
  50717. "dur": 11,
  50718. "args": {
  50719. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value_grad/BroadcastGradientArgs",
  50720. "op": "BroadcastGradientArgs",
  50721. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value_grad/Shape",
  50722. "input1": "tower_3/training/TFOptimizer/gradients/tower_3/dropout/dropout/div_grad/Shape_1"
  50723. }
  50724. },
  50725. {
  50726. "ph": "X",
  50727. "cat": "Op",
  50728. "name": "SparseSoftmaxCrossEntropyWithLogits",
  50729. "pid": 19,
  50730. "tid": 0,
  50731. "ts": 1539815916975898,
  50732. "dur": 124,
  50733. "args": {
  50734. "name": "tower_3/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  50735. "op": "SparseSoftmaxCrossEntropyWithLogits",
  50736. "input0": "tower_3/loss/activation_1_loss/Log",
  50737. "input1": "tower_3/loss/activation_1_loss/Cast"
  50738. }
  50739. },
  50740. {
  50741. "ph": "X",
  50742. "cat": "Op",
  50743. "name": "Mean",
  50744. "pid": 19,
  50745. "tid": 0,
  50746. "ts": 1539815916976026,
  50747. "dur": 6203,
  50748. "args": {
  50749. "name": "tower_3/loss/activation_1_loss/Mean",
  50750. "op": "Mean",
  50751. "input0": "tower_3/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  50752. "input1": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/Mean_grad/Const"
  50753. }
  50754. },
  50755. {
  50756. "ph": "X",
  50757. "cat": "Op",
  50758. "name": "Shape",
  50759. "pid": 19,
  50760. "tid": 0,
  50761. "ts": 1539815916982234,
  50762. "dur": 17,
  50763. "args": {
  50764. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/Mean_grad/Shape",
  50765. "op": "Shape",
  50766. "input0": "tower_3/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits"
  50767. }
  50768. },
  50769. {
  50770. "ph": "X",
  50771. "cat": "Op",
  50772. "name": "Const",
  50773. "pid": 19,
  50774. "tid": 0,
  50775. "ts": 1539815916982254,
  50776. "dur": 7,
  50777. "args": {
  50778. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/Mean_grad/Reshape",
  50779. "op": "Const",
  50780. "input0": "^tower_3/loss/activation_1_loss/Mean"
  50781. }
  50782. },
  50783. {
  50784. "ph": "X",
  50785. "cat": "Op",
  50786. "name": "Size",
  50787. "pid": 19,
  50788. "tid": 0,
  50789. "ts": 1539815916982366,
  50790. "dur": 14,
  50791. "args": {
  50792. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/Mean_grad/Prod",
  50793. "op": "Size",
  50794. "input0": "tower_3/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  50795. "input1": "^tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/Mean_grad/Shape"
  50796. }
  50797. },
  50798. {
  50799. "ph": "X",
  50800. "cat": "Op",
  50801. "name": "Tile",
  50802. "pid": 19,
  50803. "tid": 0,
  50804. "ts": 1539815916982384,
  50805. "dur": 1370,
  50806. "args": {
  50807. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/Mean_grad/Tile",
  50808. "op": "Tile",
  50809. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/Mean_grad/Reshape",
  50810. "input1": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/Mean_grad/Shape"
  50811. }
  50812. },
  50813. {
  50814. "ph": "X",
  50815. "cat": "Op",
  50816. "name": "Cast",
  50817. "pid": 19,
  50818. "tid": 0,
  50819. "ts": 1539815916983895,
  50820. "dur": 44,
  50821. "args": {
  50822. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/Mean_grad/Cast",
  50823. "op": "Cast",
  50824. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/Mean_grad/Prod/_1405"
  50825. }
  50826. },
  50827. {
  50828. "ph": "X",
  50829. "cat": "Op",
  50830. "name": "RealDiv",
  50831. "pid": 19,
  50832. "tid": 0,
  50833. "ts": 1539815916983943,
  50834. "dur": 1568,
  50835. "args": {
  50836. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/Mean_grad/truediv",
  50837. "op": "RealDiv",
  50838. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/Mean_grad/Tile",
  50839. "input1": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/Mean_grad/Cast"
  50840. }
  50841. },
  50842. {
  50843. "ph": "X",
  50844. "cat": "Op",
  50845. "name": "ExpandDims",
  50846. "pid": 19,
  50847. "tid": 0,
  50848. "ts": 1539815916985516,
  50849. "dur": 9,
  50850. "args": {
  50851. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits_grad/ExpandDims",
  50852. "op": "ExpandDims",
  50853. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/Mean_grad/truediv",
  50854. "input1": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits_grad/ExpandDims/dim"
  50855. }
  50856. },
  50857. {
  50858. "ph": "X",
  50859. "cat": "Op",
  50860. "name": "Mul",
  50861. "pid": 19,
  50862. "tid": 0,
  50863. "ts": 1539815916985528,
  50864. "dur": 944,
  50865. "args": {
  50866. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits_grad/mul",
  50867. "op": "Mul",
  50868. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits_grad/ExpandDims",
  50869. "input1": "tower_3/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits:1"
  50870. }
  50871. },
  50872. {
  50873. "ph": "X",
  50874. "cat": "Op",
  50875. "name": "Reciprocal",
  50876. "pid": 19,
  50877. "tid": 0,
  50878. "ts": 1539815916986477,
  50879. "dur": 32,
  50880. "args": {
  50881. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/Log_grad/Reciprocal",
  50882. "op": "Reciprocal",
  50883. "input0": "tower_3/loss/activation_1_loss/clip_by_value",
  50884. "input1": "^tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits_grad/mul"
  50885. }
  50886. },
  50887. {
  50888. "ph": "X",
  50889. "cat": "Op",
  50890. "name": "Mul",
  50891. "pid": 19,
  50892. "tid": 0,
  50893. "ts": 1539815916986513,
  50894. "dur": 32,
  50895. "args": {
  50896. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/Log_grad/mul",
  50897. "op": "Mul",
  50898. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits_grad/mul",
  50899. "input1": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/Log_grad/Reciprocal"
  50900. }
  50901. },
  50902. {
  50903. "ph": "X",
  50904. "cat": "Op",
  50905. "name": "Shape",
  50906. "pid": 19,
  50907. "tid": 0,
  50908. "ts": 1539815916986550,
  50909. "dur": 9,
  50910. "args": {
  50911. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value_grad/Shape_2",
  50912. "op": "Shape",
  50913. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/Log_grad/mul"
  50914. }
  50915. },
  50916. {
  50917. "ph": "X",
  50918. "cat": "Op",
  50919. "name": "Fill",
  50920. "pid": 19,
  50921. "tid": 0,
  50922. "ts": 1539815916986616,
  50923. "dur": 42,
  50924. "args": {
  50925. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value_grad/zeros",
  50926. "op": "Fill",
  50927. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value_grad/Shape_2",
  50928. "input1": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value/Minimum_grad/zeros/Const"
  50929. }
  50930. },
  50931. {
  50932. "ph": "X",
  50933. "cat": "Op",
  50934. "name": "Select",
  50935. "pid": 19,
  50936. "tid": 0,
  50937. "ts": 1539815916986662,
  50938. "dur": 69,
  50939. "args": {
  50940. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value_grad/Select",
  50941. "op": "Select",
  50942. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value_grad/GreaterEqual",
  50943. "input1": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/Log_grad/mul",
  50944. "input2": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value_grad/zeros"
  50945. }
  50946. },
  50947. {
  50948. "ph": "X",
  50949. "cat": "Op",
  50950. "name": "Sum",
  50951. "pid": 19,
  50952. "tid": 0,
  50953. "ts": 1539815916986765,
  50954. "dur": 4022,
  50955. "args": {
  50956. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value_grad/Sum",
  50957. "op": "Sum",
  50958. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value_grad/Select",
  50959. "input1": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value_grad/BroadcastGradientArgs"
  50960. }
  50961. },
  50962. {
  50963. "ph": "X",
  50964. "cat": "Op",
  50965. "name": "Reshape",
  50966. "pid": 19,
  50967. "tid": 0,
  50968. "ts": 1539815916990790,
  50969. "dur": 8,
  50970. "args": {
  50971. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value_grad/Reshape",
  50972. "op": "Reshape",
  50973. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value_grad/Sum",
  50974. "input1": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value_grad/Shape"
  50975. }
  50976. },
  50977. {
  50978. "ph": "X",
  50979. "cat": "Op",
  50980. "name": "Shape",
  50981. "pid": 19,
  50982. "tid": 0,
  50983. "ts": 1539815916990802,
  50984. "dur": 77,
  50985. "args": {
  50986. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value/Minimum_grad/Shape_2",
  50987. "op": "Shape",
  50988. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value_grad/Reshape"
  50989. }
  50990. },
  50991. {
  50992. "ph": "X",
  50993. "cat": "Op",
  50994. "name": "Fill",
  50995. "pid": 19,
  50996. "tid": 0,
  50997. "ts": 1539815916990882,
  50998. "dur": 32,
  50999. "args": {
  51000. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value/Minimum_grad/zeros",
  51001. "op": "Fill",
  51002. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value/Minimum_grad/Shape_2",
  51003. "input1": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value/Minimum_grad/zeros/Const"
  51004. }
  51005. },
  51006. {
  51007. "ph": "X",
  51008. "cat": "Op",
  51009. "name": "Select",
  51010. "pid": 19,
  51011. "tid": 0,
  51012. "ts": 1539815916990918,
  51013. "dur": 34,
  51014. "args": {
  51015. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value/Minimum_grad/Select",
  51016. "op": "Select",
  51017. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value/Minimum_grad/LessEqual",
  51018. "input1": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value_grad/Reshape",
  51019. "input2": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value/Minimum_grad/zeros"
  51020. }
  51021. },
  51022. {
  51023. "ph": "X",
  51024. "cat": "Op",
  51025. "name": "Sum",
  51026. "pid": 19,
  51027. "tid": 0,
  51028. "ts": 1539815916990956,
  51029. "dur": 8,
  51030. "args": {
  51031. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value/Minimum_grad/Sum",
  51032. "op": "Sum",
  51033. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value/Minimum_grad/Select",
  51034. "input1": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value/Minimum_grad/BroadcastGradientArgs"
  51035. }
  51036. },
  51037. {
  51038. "ph": "X",
  51039. "cat": "Op",
  51040. "name": "Reshape",
  51041. "pid": 19,
  51042. "tid": 0,
  51043. "ts": 1539815916991024,
  51044. "dur": 10,
  51045. "args": {
  51046. "name": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value/Minimum_grad/Reshape",
  51047. "op": "Reshape",
  51048. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value/Minimum_grad/Sum",
  51049. "input1": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value/Minimum_grad/Shape"
  51050. }
  51051. },
  51052. {
  51053. "ph": "X",
  51054. "cat": "Op",
  51055. "name": "Mul",
  51056. "pid": 19,
  51057. "tid": 0,
  51058. "ts": 1539815916991040,
  51059. "dur": 30,
  51060. "args": {
  51061. "name": "tower_3/training/TFOptimizer/gradients/tower_3/activation_1/Softmax_grad/mul",
  51062. "op": "Mul",
  51063. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value/Minimum_grad/Reshape",
  51064. "input1": "tower_3/activation_1/Softmax",
  51065. "input2": "^tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value/Minimum_grad/zeros",
  51066. "input3": "^tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value/Minimum_grad/LessEqual"
  51067. }
  51068. },
  51069. {
  51070. "ph": "X",
  51071. "cat": "Op",
  51072. "name": "Sum",
  51073. "pid": 19,
  51074. "tid": 0,
  51075. "ts": 1539815916991075,
  51076. "dur": 31,
  51077. "args": {
  51078. "name": "tower_3/training/TFOptimizer/gradients/tower_3/activation_1/Softmax_grad/Sum",
  51079. "op": "Sum",
  51080. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/activation_1/Softmax_grad/mul",
  51081. "input1": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits_grad/ExpandDims/dim"
  51082. }
  51083. },
  51084. {
  51085. "ph": "X",
  51086. "cat": "Op",
  51087. "name": "Sub",
  51088. "pid": 19,
  51089. "tid": 0,
  51090. "ts": 1539815916991114,
  51091. "dur": 34,
  51092. "args": {
  51093. "name": "tower_3/training/TFOptimizer/gradients/tower_3/activation_1/Softmax_grad/sub",
  51094. "op": "Sub",
  51095. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/clip_by_value/Minimum_grad/Reshape",
  51096. "input1": "tower_3/training/TFOptimizer/gradients/tower_3/activation_1/Softmax_grad/Sum"
  51097. }
  51098. },
  51099. {
  51100. "ph": "X",
  51101. "cat": "Op",
  51102. "name": "Mul",
  51103. "pid": 19,
  51104. "tid": 0,
  51105. "ts": 1539815916991152,
  51106. "dur": 79,
  51107. "args": {
  51108. "name": "tower_3/training/TFOptimizer/gradients/tower_3/activation_1/Softmax_grad/mul_1",
  51109. "op": "Mul",
  51110. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/activation_1/Softmax_grad/sub",
  51111. "input1": "tower_3/activation_1/Softmax"
  51112. }
  51113. },
  51114. {
  51115. "ph": "X",
  51116. "cat": "Op",
  51117. "name": "BiasAddGrad",
  51118. "pid": 19,
  51119. "tid": 0,
  51120. "ts": 1539815916991236,
  51121. "dur": 140,
  51122. "args": {
  51123. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dense_1/BiasAdd_grad/BiasAddGrad",
  51124. "op": "BiasAddGrad",
  51125. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/activation_1/Softmax_grad/mul_1"
  51126. }
  51127. },
  51128. {
  51129. "ph": "X",
  51130. "cat": "Op",
  51131. "name": "MatMul",
  51132. "pid": 19,
  51133. "tid": 0,
  51134. "ts": 1539815916991381,
  51135. "dur": 48,
  51136. "args": {
  51137. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dense_1/MatMul_grad/MatMul",
  51138. "op": "MatMul",
  51139. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/activation_1/Softmax_grad/mul_1",
  51140. "input1": "tower_3/dense_1/MatMul/ReadVariableOp",
  51141. "input2": "^tower_3/training/TFOptimizer/gradients/tower_3/dense_1/BiasAdd_grad/BiasAddGrad"
  51142. }
  51143. },
  51144. {
  51145. "ph": "X",
  51146. "cat": "Op",
  51147. "name": "MatMul",
  51148. "pid": 19,
  51149. "tid": 0,
  51150. "ts": 1539815916991439,
  51151. "dur": 73,
  51152. "args": {
  51153. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dense_1/MatMul_grad/MatMul_1",
  51154. "op": "MatMul",
  51155. "input0": "tower_3/dropout_3/dropout/mul",
  51156. "input1": "tower_3/training/TFOptimizer/gradients/tower_3/activation_1/Softmax_grad/mul_1",
  51157. "input2": "^tower_3/training/TFOptimizer/gradients/tower_3/dense_1/BiasAdd_grad/BiasAddGrad"
  51158. }
  51159. },
  51160. {
  51161. "ph": "X",
  51162. "cat": "Op",
  51163. "name": "Reshape",
  51164. "pid": 19,
  51165. "tid": 0,
  51166. "ts": 1539815916991523,
  51167. "dur": 8,
  51168. "args": {
  51169. "name": "training/TFOptimizer/Reshape_62",
  51170. "op": "Reshape",
  51171. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/dense_1/MatMul_grad/MatMul_1",
  51172. "input1": "training/TFOptimizer/Reshape_48/shape",
  51173. "input2": "^tower_3/training/TFOptimizer/gradients/tower_3/dense_1/MatMul_grad/MatMul"
  51174. }
  51175. },
  51176. {
  51177. "ph": "X",
  51178. "cat": "Op",
  51179. "name": "Mul",
  51180. "pid": 19,
  51181. "tid": 0,
  51182. "ts": 1539815916991534,
  51183. "dur": 28,
  51184. "args": {
  51185. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_3/dropout/mul_grad/Mul",
  51186. "op": "Mul",
  51187. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/dense_1/MatMul_grad/MatMul",
  51188. "input1": "tower_3/dropout_3/dropout/Floor",
  51189. "input2": "^tower_3/training/TFOptimizer/gradients/tower_3/dense_1/MatMul_grad/MatMul_1"
  51190. }
  51191. },
  51192. {
  51193. "ph": "X",
  51194. "cat": "Op",
  51195. "name": "Mul",
  51196. "pid": 19,
  51197. "tid": 0,
  51198. "ts": 1539815916991566,
  51199. "dur": 30,
  51200. "args": {
  51201. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_3/dropout/div_grad/RealDiv",
  51202. "op": "Mul",
  51203. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_3/dropout/mul_grad/Mul",
  51204. "input1": "ConstantFolding/tower_3/training/TFOptimizer/gradients/tower_3/dropout_3/dropout/div_grad/RealDiv_recip"
  51205. }
  51206. },
  51207. {
  51208. "ph": "X",
  51209. "cat": "Op",
  51210. "name": "Sum",
  51211. "pid": 19,
  51212. "tid": 0,
  51213. "ts": 1539815916991600,
  51214. "dur": 7,
  51215. "args": {
  51216. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_3/dropout/div_grad/Sum",
  51217. "op": "Sum",
  51218. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_3/dropout/div_grad/RealDiv",
  51219. "input1": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_3/dropout/div_grad/BroadcastGradientArgs"
  51220. }
  51221. },
  51222. {
  51223. "ph": "X",
  51224. "cat": "Op",
  51225. "name": "Reshape",
  51226. "pid": 19,
  51227. "tid": 0,
  51228. "ts": 1539815916991609,
  51229. "dur": 7,
  51230. "args": {
  51231. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_3/dropout/div_grad/Reshape",
  51232. "op": "Reshape",
  51233. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_3/dropout/div_grad/Sum",
  51234. "input1": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_3/dropout/div_grad/Shape"
  51235. }
  51236. },
  51237. {
  51238. "ph": "X",
  51239. "cat": "Op",
  51240. "name": "EluGrad",
  51241. "pid": 19,
  51242. "tid": 0,
  51243. "ts": 1539815916991624,
  51244. "dur": 72,
  51245. "args": {
  51246. "name": "tower_3/training/TFOptimizer/gradients/tower_3/activation/Elu_grad/EluGrad",
  51247. "op": "EluGrad",
  51248. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_3/dropout/div_grad/Reshape",
  51249. "input1": "tower_3/activation/Elu"
  51250. }
  51251. },
  51252. {
  51253. "ph": "X",
  51254. "cat": "Op",
  51255. "name": "BiasAddGrad",
  51256. "pid": 19,
  51257. "tid": 0,
  51258. "ts": 1539815916991700,
  51259. "dur": 126,
  51260. "args": {
  51261. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dense/BiasAdd_grad/BiasAddGrad",
  51262. "op": "BiasAddGrad",
  51263. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/activation/Elu_grad/EluGrad"
  51264. }
  51265. },
  51266. {
  51267. "ph": "X",
  51268. "cat": "Op",
  51269. "name": "MatMul",
  51270. "pid": 19,
  51271. "tid": 0,
  51272. "ts": 1539815916991829,
  51273. "dur": 34,
  51274. "args": {
  51275. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dense/MatMul_grad/MatMul",
  51276. "op": "MatMul",
  51277. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/activation/Elu_grad/EluGrad",
  51278. "input1": "tower_3/dense/MatMul/ReadVariableOp",
  51279. "input2": "^tower_3/training/TFOptimizer/gradients/tower_3/dense/BiasAdd_grad/BiasAddGrad"
  51280. }
  51281. },
  51282. {
  51283. "ph": "X",
  51284. "cat": "Op",
  51285. "name": "MatMul",
  51286. "pid": 19,
  51287. "tid": 0,
  51288. "ts": 1539815916991871,
  51289. "dur": 31,
  51290. "args": {
  51291. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dense/MatMul_grad/MatMul_1",
  51292. "op": "MatMul",
  51293. "input0": "tower_3/flatten/Reshape",
  51294. "input1": "tower_3/training/TFOptimizer/gradients/tower_3/activation/Elu_grad/EluGrad",
  51295. "input2": "^tower_3/training/TFOptimizer/gradients/tower_3/dense/BiasAdd_grad/BiasAddGrad"
  51296. }
  51297. },
  51298. {
  51299. "ph": "X",
  51300. "cat": "Op",
  51301. "name": "Reshape",
  51302. "pid": 19,
  51303. "tid": 0,
  51304. "ts": 1539815916991917,
  51305. "dur": 10,
  51306. "args": {
  51307. "name": "tower_3/training/TFOptimizer/gradients/tower_3/flatten/Reshape_grad/Reshape",
  51308. "op": "Reshape",
  51309. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/dense/MatMul_grad/MatMul",
  51310. "input1": "tower_3/training/TFOptimizer/gradients/tower_3/flatten/Reshape_grad/Shape-0-1-VecPermuteNCHWToNHWC-LayoutOptimizer",
  51311. "input2": "^tower_3/training/TFOptimizer/gradients/tower_3/dense/MatMul_grad/MatMul_1"
  51312. }
  51313. },
  51314. {
  51315. "ph": "X",
  51316. "cat": "Op",
  51317. "name": "Reshape",
  51318. "pid": 19,
  51319. "tid": 0,
  51320. "ts": 1539815916991931,
  51321. "dur": 5,
  51322. "args": {
  51323. "name": "training/TFOptimizer/Reshape_60",
  51324. "op": "Reshape",
  51325. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/dense/MatMul_grad/MatMul_1",
  51326. "input1": "training/TFOptimizer/Reshape_48/shape",
  51327. "input2": "^tower_3/training/TFOptimizer/gradients/tower_3/dense/MatMul_grad/MatMul"
  51328. }
  51329. },
  51330. {
  51331. "ph": "X",
  51332. "cat": "Op",
  51333. "name": "Mul",
  51334. "pid": 19,
  51335. "tid": 0,
  51336. "ts": 1539815916991943,
  51337. "dur": 28,
  51338. "args": {
  51339. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_2/dropout/mul_grad/Mul",
  51340. "op": "Mul",
  51341. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/flatten/Reshape_grad/Reshape",
  51342. "input1": "tower_3/dropout_2/dropout/Floor"
  51343. }
  51344. },
  51345. {
  51346. "ph": "X",
  51347. "cat": "Op",
  51348. "name": "Mul",
  51349. "pid": 19,
  51350. "tid": 0,
  51351. "ts": 1539815916991975,
  51352. "dur": 22,
  51353. "args": {
  51354. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_2/dropout/div_grad/RealDiv",
  51355. "op": "Mul",
  51356. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_2/dropout/mul_grad/Mul",
  51357. "input1": "ConstantFolding/tower_3/training/TFOptimizer/gradients/tower_3/dropout/dropout/div_grad/RealDiv_recip"
  51358. }
  51359. },
  51360. {
  51361. "ph": "X",
  51362. "cat": "Op",
  51363. "name": "Sum",
  51364. "pid": 19,
  51365. "tid": 0,
  51366. "ts": 1539815916992005,
  51367. "dur": 8,
  51368. "args": {
  51369. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_2/dropout/div_grad/Sum",
  51370. "op": "Sum",
  51371. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_2/dropout/div_grad/RealDiv",
  51372. "input1": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_2/dropout/div_grad/BroadcastGradientArgs"
  51373. }
  51374. },
  51375. {
  51376. "ph": "X",
  51377. "cat": "Op",
  51378. "name": "Reshape",
  51379. "pid": 19,
  51380. "tid": 0,
  51381. "ts": 1539815916992016,
  51382. "dur": 7,
  51383. "args": {
  51384. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_2/dropout/div_grad/Reshape",
  51385. "op": "Reshape",
  51386. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_2/dropout/div_grad/Sum",
  51387. "input1": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_2/dropout/div_grad/Shape-1-1-VecPermuteNCHWToNHWC-LayoutOptimizer"
  51388. }
  51389. },
  51390. {
  51391. "ph": "X",
  51392. "cat": "Op",
  51393. "name": "Transpose",
  51394. "pid": 19,
  51395. "tid": 0,
  51396. "ts": 1539815916992025,
  51397. "dur": 35,
  51398. "args": {
  51399. "name": "tower_3/training/TFOptimizer/gradients/tower_3/max_pooling2d_2/MaxPool_grad/MaxPoolGrad-2-TransposeNHWCToNCHW-LayoutOptimizer",
  51400. "op": "Transpose",
  51401. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_2/dropout/div_grad/Reshape",
  51402. "input1": "PermConstNHWCToNCHW-LayoutOptimizer/_1383"
  51403. }
  51404. },
  51405. {
  51406. "ph": "s",
  51407. "cat": "DataFlow",
  51408. "name": "PermConstNHWCToNCHW-LayoutOptimizer",
  51409. "pid": 41,
  51410. "tid": 0,
  51411. "ts": 1539815912099159,
  51412. "id": 25
  51413. },
  51414. {
  51415. "ph": "t",
  51416. "cat": "DataFlow",
  51417. "name": "PermConstNHWCToNCHW-LayoutOptimizer",
  51418. "pid": 19,
  51419. "tid": 0,
  51420. "ts": 1539815916992025,
  51421. "id": 25
  51422. },
  51423. {
  51424. "ph": "X",
  51425. "cat": "Op",
  51426. "name": "MaxPoolGrad",
  51427. "pid": 19,
  51428. "tid": 0,
  51429. "ts": 1539815916992067,
  51430. "dur": 1568,
  51431. "args": {
  51432. "name": "tower_3/training/TFOptimizer/gradients/tower_3/max_pooling2d_2/MaxPool_grad/MaxPoolGrad",
  51433. "op": "MaxPoolGrad",
  51434. "input0": "tower_3/conv2d_2/Elu",
  51435. "input1": "tower_3/max_pooling2d_2/MaxPool",
  51436. "input2": "tower_3/training/TFOptimizer/gradients/tower_3/max_pooling2d_2/MaxPool_grad/MaxPoolGrad-2-TransposeNHWCToNCHW-LayoutOptimizer"
  51437. }
  51438. },
  51439. {
  51440. "ph": "X",
  51441. "cat": "Op",
  51442. "name": "EluGrad",
  51443. "pid": 19,
  51444. "tid": 0,
  51445. "ts": 1539815916993650,
  51446. "dur": 32,
  51447. "args": {
  51448. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Elu_grad/EluGrad",
  51449. "op": "EluGrad",
  51450. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/max_pooling2d_2/MaxPool_grad/MaxPoolGrad",
  51451. "input1": "tower_3/conv2d_2/Elu"
  51452. }
  51453. },
  51454. {
  51455. "ph": "X",
  51456. "cat": "Op",
  51457. "name": "BiasAddGrad",
  51458. "pid": 19,
  51459. "tid": 0,
  51460. "ts": 1539815916993686,
  51461. "dur": 334,
  51462. "args": {
  51463. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/BiasAdd_grad/BiasAddGrad",
  51464. "op": "BiasAddGrad",
  51465. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Elu_grad/EluGrad"
  51466. }
  51467. },
  51468. {
  51469. "ph": "X",
  51470. "cat": "Op",
  51471. "name": "Conv2DBackpropFilter",
  51472. "pid": 19,
  51473. "tid": 0,
  51474. "ts": 1539815916994034,
  51475. "dur": 20519,
  51476. "args": {
  51477. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  51478. "op": "Conv2DBackpropFilter",
  51479. "input0": "tower_3/batch_normalization_2/FusedBatchNorm",
  51480. "input1": "ConstantFolding/tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/ShapeN-matshapes-1",
  51481. "input2": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Elu_grad/EluGrad",
  51482. "input3": "^tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/BiasAdd_grad/BiasAddGrad"
  51483. }
  51484. },
  51485. {
  51486. "ph": "X",
  51487. "cat": "Op",
  51488. "name": "Conv2DBackpropInput",
  51489. "pid": 19,
  51490. "tid": 0,
  51491. "ts": 1539815917014565,
  51492. "dur": 22075,
  51493. "args": {
  51494. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  51495. "op": "Conv2DBackpropInput",
  51496. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/ShapeN",
  51497. "input1": "tower_3/conv2d_2/Conv2D/ReadVariableOp",
  51498. "input2": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Elu_grad/EluGrad",
  51499. "input3": "^tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/BiasAdd_grad/BiasAddGrad"
  51500. }
  51501. },
  51502. {
  51503. "ph": "X",
  51504. "cat": "Op",
  51505. "name": "FusedBatchNormGrad",
  51506. "pid": 19,
  51507. "tid": 0,
  51508. "ts": 1539815917036652,
  51509. "dur": 91,
  51510. "args": {
  51511. "name": "tower_3/training/TFOptimizer/gradients/tower_3/batch_normalization_2/FusedBatchNorm_grad/FusedBatchNormGrad",
  51512. "op": "FusedBatchNormGrad",
  51513. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  51514. "input1": "tower_3/dropout_1/dropout/mul",
  51515. "input2": "tower_3/batch_normalization_2/ReadVariableOp",
  51516. "input3": "tower_3/batch_normalization_2/FusedBatchNorm:3",
  51517. "input4": "tower_3/batch_normalization_2/FusedBatchNorm:4",
  51518. "input5": "^tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter"
  51519. }
  51520. },
  51521. {
  51522. "ph": "X",
  51523. "cat": "Op",
  51524. "name": "Reshape",
  51525. "pid": 19,
  51526. "tid": 0,
  51527. "ts": 1539815917036752,
  51528. "dur": 8,
  51529. "args": {
  51530. "name": "training/TFOptimizer/Reshape_58",
  51531. "op": "Reshape",
  51532. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  51533. "input1": "training/TFOptimizer/Reshape_48/shape",
  51534. "input2": "^tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/Conv2D_grad/Conv2DBackpropInput"
  51535. }
  51536. },
  51537. {
  51538. "ph": "X",
  51539. "cat": "Op",
  51540. "name": "Mul",
  51541. "pid": 19,
  51542. "tid": 0,
  51543. "ts": 1539815917036763,
  51544. "dur": 54,
  51545. "args": {
  51546. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_1/dropout/mul_grad/Mul",
  51547. "op": "Mul",
  51548. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/batch_normalization_2/FusedBatchNorm_grad/FusedBatchNormGrad",
  51549. "input1": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_1/dropout/mul_grad/Mul-1-TransposeNHWCToNCHW-LayoutOptimizer"
  51550. }
  51551. },
  51552. {
  51553. "ph": "X",
  51554. "cat": "Op",
  51555. "name": "Mul",
  51556. "pid": 19,
  51557. "tid": 0,
  51558. "ts": 1539815917036833,
  51559. "dur": 29,
  51560. "args": {
  51561. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_1/dropout/div_grad/RealDiv",
  51562. "op": "Mul",
  51563. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_1/dropout/mul_grad/Mul",
  51564. "input1": "ConstantFolding/tower_3/training/TFOptimizer/gradients/tower_3/dropout/dropout/div_grad/RealDiv_recip"
  51565. }
  51566. },
  51567. {
  51568. "ph": "X",
  51569. "cat": "Op",
  51570. "name": "Transpose",
  51571. "pid": 19,
  51572. "tid": 0,
  51573. "ts": 1539815917036866,
  51574. "dur": 37,
  51575. "args": {
  51576. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_1/dropout/div_grad/RealDiv-0-0-TransposeNCHWToNHWC-LayoutOptimizer",
  51577. "op": "Transpose",
  51578. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_1/dropout/div_grad/RealDiv",
  51579. "input1": "PermConstNCHWToNHWC-LayoutOptimizer/_1389"
  51580. }
  51581. },
  51582. {
  51583. "ph": "s",
  51584. "cat": "DataFlow",
  51585. "name": "PermConstNCHWToNHWC-LayoutOptimizer",
  51586. "pid": 41,
  51587. "tid": 0,
  51588. "ts": 1539815912099168,
  51589. "id": 26
  51590. },
  51591. {
  51592. "ph": "t",
  51593. "cat": "DataFlow",
  51594. "name": "PermConstNCHWToNHWC-LayoutOptimizer",
  51595. "pid": 19,
  51596. "tid": 0,
  51597. "ts": 1539815917036866,
  51598. "id": 26
  51599. },
  51600. {
  51601. "ph": "X",
  51602. "cat": "Op",
  51603. "name": "Sum",
  51604. "pid": 19,
  51605. "tid": 0,
  51606. "ts": 1539815917036910,
  51607. "dur": 8,
  51608. "args": {
  51609. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_1/dropout/div_grad/Sum",
  51610. "op": "Sum",
  51611. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_1/dropout/div_grad/RealDiv-0-0-TransposeNCHWToNHWC-LayoutOptimizer",
  51612. "input1": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_1/dropout/div_grad/BroadcastGradientArgs"
  51613. }
  51614. },
  51615. {
  51616. "ph": "X",
  51617. "cat": "Op",
  51618. "name": "Reshape",
  51619. "pid": 19,
  51620. "tid": 0,
  51621. "ts": 1539815917036921,
  51622. "dur": 12,
  51623. "args": {
  51624. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_1/dropout/div_grad/Reshape",
  51625. "op": "Reshape",
  51626. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_1/dropout/div_grad/Sum",
  51627. "input1": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_1/dropout/div_grad/Shape-0-1-VecPermuteNCHWToNHWC-LayoutOptimizer"
  51628. }
  51629. },
  51630. {
  51631. "ph": "X",
  51632. "cat": "Op",
  51633. "name": "Transpose",
  51634. "pid": 19,
  51635. "tid": 0,
  51636. "ts": 1539815917036936,
  51637. "dur": 29,
  51638. "args": {
  51639. "name": "tower_3/training/TFOptimizer/gradients/tower_3/max_pooling2d_1/MaxPool_grad/MaxPoolGrad-2-TransposeNHWCToNCHW-LayoutOptimizer",
  51640. "op": "Transpose",
  51641. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/dropout_1/dropout/div_grad/Reshape",
  51642. "input1": "PermConstNHWCToNCHW-LayoutOptimizer/_1383"
  51643. }
  51644. },
  51645. {
  51646. "ph": "s",
  51647. "cat": "DataFlow",
  51648. "name": "PermConstNHWCToNCHW-LayoutOptimizer",
  51649. "pid": 41,
  51650. "tid": 0,
  51651. "ts": 1539815912099159,
  51652. "id": 27
  51653. },
  51654. {
  51655. "ph": "t",
  51656. "cat": "DataFlow",
  51657. "name": "PermConstNHWCToNCHW-LayoutOptimizer",
  51658. "pid": 19,
  51659. "tid": 0,
  51660. "ts": 1539815917036936,
  51661. "id": 27
  51662. },
  51663. {
  51664. "ph": "X",
  51665. "cat": "Op",
  51666. "name": "MaxPoolGrad",
  51667. "pid": 19,
  51668. "tid": 0,
  51669. "ts": 1539815917036971,
  51670. "dur": 52,
  51671. "args": {
  51672. "name": "tower_3/training/TFOptimizer/gradients/tower_3/max_pooling2d_1/MaxPool_grad/MaxPoolGrad",
  51673. "op": "MaxPoolGrad",
  51674. "input0": "tower_3/conv2d_1/Elu",
  51675. "input1": "tower_3/max_pooling2d_1/MaxPool",
  51676. "input2": "tower_3/training/TFOptimizer/gradients/tower_3/max_pooling2d_1/MaxPool_grad/MaxPoolGrad-2-TransposeNHWCToNCHW-LayoutOptimizer"
  51677. }
  51678. },
  51679. {
  51680. "ph": "X",
  51681. "cat": "Op",
  51682. "name": "EluGrad",
  51683. "pid": 19,
  51684. "tid": 0,
  51685. "ts": 1539815917037031,
  51686. "dur": 27,
  51687. "args": {
  51688. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Elu_grad/EluGrad",
  51689. "op": "EluGrad",
  51690. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/max_pooling2d_1/MaxPool_grad/MaxPoolGrad",
  51691. "input1": "tower_3/conv2d_1/Elu"
  51692. }
  51693. },
  51694. {
  51695. "ph": "X",
  51696. "cat": "Op",
  51697. "name": "BiasAddGrad",
  51698. "pid": 19,
  51699. "tid": 0,
  51700. "ts": 1539815917037062,
  51701. "dur": 1037,
  51702. "args": {
  51703. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/BiasAdd_grad/BiasAddGrad",
  51704. "op": "BiasAddGrad",
  51705. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Elu_grad/EluGrad"
  51706. }
  51707. },
  51708. {
  51709. "ph": "X",
  51710. "cat": "Op",
  51711. "name": "Conv2DBackpropFilter",
  51712. "pid": 19,
  51713. "tid": 0,
  51714. "ts": 1539815917038107,
  51715. "dur": 15276,
  51716. "args": {
  51717. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  51718. "op": "Conv2DBackpropFilter",
  51719. "input0": "tower_3/batch_normalization_1/FusedBatchNorm",
  51720. "input1": "ConstantFolding/tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/ShapeN-matshapes-1",
  51721. "input2": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Elu_grad/EluGrad",
  51722. "input3": "^tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/BiasAdd_grad/BiasAddGrad"
  51723. }
  51724. },
  51725. {
  51726. "ph": "X",
  51727. "cat": "Op",
  51728. "name": "Conv2DBackpropInput",
  51729. "pid": 19,
  51730. "tid": 0,
  51731. "ts": 1539815917053400,
  51732. "dur": 16009,
  51733. "args": {
  51734. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  51735. "op": "Conv2DBackpropInput",
  51736. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/ShapeN",
  51737. "input1": "tower_3/conv2d_1/Conv2D/ReadVariableOp",
  51738. "input2": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Elu_grad/EluGrad",
  51739. "input3": "^tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/BiasAdd_grad/BiasAddGrad"
  51740. }
  51741. },
  51742. {
  51743. "ph": "X",
  51744. "cat": "Op",
  51745. "name": "FusedBatchNormGrad",
  51746. "pid": 19,
  51747. "tid": 0,
  51748. "ts": 1539815917069427,
  51749. "dur": 81,
  51750. "args": {
  51751. "name": "tower_3/training/TFOptimizer/gradients/tower_3/batch_normalization_1/FusedBatchNorm_grad/FusedBatchNormGrad",
  51752. "op": "FusedBatchNormGrad",
  51753. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  51754. "input1": "tower_3/dropout/dropout/mul",
  51755. "input2": "tower_3/batch_normalization_1/ReadVariableOp",
  51756. "input3": "tower_3/batch_normalization_1/FusedBatchNorm:3",
  51757. "input4": "tower_3/batch_normalization_1/FusedBatchNorm:4",
  51758. "input5": "^tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter"
  51759. }
  51760. },
  51761. {
  51762. "ph": "X",
  51763. "cat": "Op",
  51764. "name": "Reshape",
  51765. "pid": 19,
  51766. "tid": 0,
  51767. "ts": 1539815917069523,
  51768. "dur": 10,
  51769. "args": {
  51770. "name": "training/TFOptimizer/Reshape_54",
  51771. "op": "Reshape",
  51772. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  51773. "input1": "training/TFOptimizer/Reshape_48/shape",
  51774. "input2": "^tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/Conv2D_grad/Conv2DBackpropInput"
  51775. }
  51776. },
  51777. {
  51778. "ph": "X",
  51779. "cat": "Op",
  51780. "name": "Mul",
  51781. "pid": 19,
  51782. "tid": 0,
  51783. "ts": 1539815917069536,
  51784. "dur": 29,
  51785. "args": {
  51786. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout/dropout/mul_grad/Mul",
  51787. "op": "Mul",
  51788. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/batch_normalization_1/FusedBatchNorm_grad/FusedBatchNormGrad",
  51789. "input1": "tower_3/training/TFOptimizer/gradients/tower_3/dropout/dropout/mul_grad/Mul-1-TransposeNHWCToNCHW-LayoutOptimizer"
  51790. }
  51791. },
  51792. {
  51793. "ph": "X",
  51794. "cat": "Op",
  51795. "name": "Mul",
  51796. "pid": 19,
  51797. "tid": 0,
  51798. "ts": 1539815917069570,
  51799. "dur": 29,
  51800. "args": {
  51801. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout/dropout/div_grad/RealDiv",
  51802. "op": "Mul",
  51803. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/dropout/dropout/mul_grad/Mul",
  51804. "input1": "ConstantFolding/tower_3/training/TFOptimizer/gradients/tower_3/dropout/dropout/div_grad/RealDiv_recip"
  51805. }
  51806. },
  51807. {
  51808. "ph": "X",
  51809. "cat": "Op",
  51810. "name": "Transpose",
  51811. "pid": 19,
  51812. "tid": 0,
  51813. "ts": 1539815917069602,
  51814. "dur": 29,
  51815. "args": {
  51816. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout/dropout/div_grad/RealDiv-0-0-TransposeNCHWToNHWC-LayoutOptimizer",
  51817. "op": "Transpose",
  51818. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/dropout/dropout/div_grad/RealDiv",
  51819. "input1": "PermConstNCHWToNHWC-LayoutOptimizer/_1389"
  51820. }
  51821. },
  51822. {
  51823. "ph": "s",
  51824. "cat": "DataFlow",
  51825. "name": "PermConstNCHWToNHWC-LayoutOptimizer",
  51826. "pid": 41,
  51827. "tid": 0,
  51828. "ts": 1539815912099168,
  51829. "id": 28
  51830. },
  51831. {
  51832. "ph": "t",
  51833. "cat": "DataFlow",
  51834. "name": "PermConstNCHWToNHWC-LayoutOptimizer",
  51835. "pid": 19,
  51836. "tid": 0,
  51837. "ts": 1539815917069602,
  51838. "id": 28
  51839. },
  51840. {
  51841. "ph": "X",
  51842. "cat": "Op",
  51843. "name": "Sum",
  51844. "pid": 19,
  51845. "tid": 0,
  51846. "ts": 1539815917069639,
  51847. "dur": 12,
  51848. "args": {
  51849. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout/dropout/div_grad/Sum",
  51850. "op": "Sum",
  51851. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/dropout/dropout/div_grad/RealDiv-0-0-TransposeNCHWToNHWC-LayoutOptimizer",
  51852. "input1": "tower_3/training/TFOptimizer/gradients/tower_3/dropout/dropout/div_grad/BroadcastGradientArgs"
  51853. }
  51854. },
  51855. {
  51856. "ph": "X",
  51857. "cat": "Op",
  51858. "name": "Reshape",
  51859. "pid": 19,
  51860. "tid": 0,
  51861. "ts": 1539815917069655,
  51862. "dur": 7,
  51863. "args": {
  51864. "name": "tower_3/training/TFOptimizer/gradients/tower_3/dropout/dropout/div_grad/Reshape",
  51865. "op": "Reshape",
  51866. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/dropout/dropout/div_grad/Sum",
  51867. "input1": "tower_3/training/TFOptimizer/gradients/tower_3/dropout/dropout/div_grad/Shape-2-1-VecPermuteNCHWToNHWC-LayoutOptimizer"
  51868. }
  51869. },
  51870. {
  51871. "ph": "X",
  51872. "cat": "Op",
  51873. "name": "Transpose",
  51874. "pid": 19,
  51875. "tid": 0,
  51876. "ts": 1539815917069665,
  51877. "dur": 31,
  51878. "args": {
  51879. "name": "tower_3/training/TFOptimizer/gradients/tower_3/max_pooling2d/MaxPool_grad/MaxPoolGrad-2-TransposeNHWCToNCHW-LayoutOptimizer",
  51880. "op": "Transpose",
  51881. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/dropout/dropout/div_grad/Reshape",
  51882. "input1": "PermConstNHWCToNCHW-LayoutOptimizer/_1383"
  51883. }
  51884. },
  51885. {
  51886. "ph": "s",
  51887. "cat": "DataFlow",
  51888. "name": "PermConstNHWCToNCHW-LayoutOptimizer",
  51889. "pid": 41,
  51890. "tid": 0,
  51891. "ts": 1539815912099159,
  51892. "id": 29
  51893. },
  51894. {
  51895. "ph": "t",
  51896. "cat": "DataFlow",
  51897. "name": "PermConstNHWCToNCHW-LayoutOptimizer",
  51898. "pid": 19,
  51899. "tid": 0,
  51900. "ts": 1539815917069665,
  51901. "id": 29
  51902. },
  51903. {
  51904. "ph": "X",
  51905. "cat": "Op",
  51906. "name": "MaxPoolGrad",
  51907. "pid": 19,
  51908. "tid": 0,
  51909. "ts": 1539815917069703,
  51910. "dur": 44,
  51911. "args": {
  51912. "name": "tower_3/training/TFOptimizer/gradients/tower_3/max_pooling2d/MaxPool_grad/MaxPoolGrad",
  51913. "op": "MaxPoolGrad",
  51914. "input0": "tower_3/conv2d/Elu",
  51915. "input1": "tower_3/max_pooling2d/MaxPool",
  51916. "input2": "tower_3/training/TFOptimizer/gradients/tower_3/max_pooling2d/MaxPool_grad/MaxPoolGrad-2-TransposeNHWCToNCHW-LayoutOptimizer"
  51917. }
  51918. },
  51919. {
  51920. "ph": "X",
  51921. "cat": "Op",
  51922. "name": "EluGrad",
  51923. "pid": 19,
  51924. "tid": 0,
  51925. "ts": 1539815917069754,
  51926. "dur": 35,
  51927. "args": {
  51928. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Elu_grad/EluGrad",
  51929. "op": "EluGrad",
  51930. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/max_pooling2d/MaxPool_grad/MaxPoolGrad",
  51931. "input1": "tower_3/conv2d/Elu"
  51932. }
  51933. },
  51934. {
  51935. "ph": "X",
  51936. "cat": "Op",
  51937. "name": "BiasAddGrad",
  51938. "pid": 19,
  51939. "tid": 0,
  51940. "ts": 1539815917069792,
  51941. "dur": 1170,
  51942. "args": {
  51943. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/BiasAdd_grad/BiasAddGrad",
  51944. "op": "BiasAddGrad",
  51945. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Elu_grad/EluGrad"
  51946. }
  51947. },
  51948. {
  51949. "ph": "X",
  51950. "cat": "Op",
  51951. "name": "Conv2DBackpropFilter",
  51952. "pid": 19,
  51953. "tid": 0,
  51954. "ts": 1539815917070976,
  51955. "dur": 9791,
  51956. "args": {
  51957. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  51958. "op": "Conv2DBackpropFilter",
  51959. "input0": "tower_3/batch_normalization/FusedBatchNorm",
  51960. "input1": "ConstantFolding/tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/ShapeN-matshapes-1",
  51961. "input2": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Elu_grad/EluGrad",
  51962. "input3": "^tower_3/training/TFOptimizer/gradients/tower_3/conv2d/BiasAdd_grad/BiasAddGrad"
  51963. }
  51964. },
  51965. {
  51966. "ph": "s",
  51967. "cat": "DataFlow",
  51968. "name": "tower_3/batch_normalization/FusedBatchNorm",
  51969. "pid": 19,
  51970. "tid": 2,
  51971. "ts": 1539815916895316,
  51972. "id": 30
  51973. },
  51974. {
  51975. "ph": "t",
  51976. "cat": "DataFlow",
  51977. "name": "tower_3/batch_normalization/FusedBatchNorm",
  51978. "pid": 19,
  51979. "tid": 0,
  51980. "ts": 1539815917070976,
  51981. "id": 30
  51982. },
  51983. {
  51984. "ph": "X",
  51985. "cat": "Op",
  51986. "name": "Conv2DBackpropInput",
  51987. "pid": 19,
  51988. "tid": 0,
  51989. "ts": 1539815917080779,
  51990. "dur": 11766,
  51991. "args": {
  51992. "name": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  51993. "op": "Conv2DBackpropInput",
  51994. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/ShapeN",
  51995. "input1": "tower_3/conv2d/Conv2D/ReadVariableOp",
  51996. "input2": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Elu_grad/EluGrad",
  51997. "input3": "^tower_3/training/TFOptimizer/gradients/tower_3/conv2d/BiasAdd_grad/BiasAddGrad"
  51998. }
  51999. },
  52000. {
  52001. "ph": "X",
  52002. "cat": "Op",
  52003. "name": "FusedBatchNormGrad",
  52004. "pid": 19,
  52005. "tid": 0,
  52006. "ts": 1539815917092556,
  52007. "dur": 90,
  52008. "args": {
  52009. "name": "tower_3/training/TFOptimizer/gradients/tower_3/batch_normalization/FusedBatchNorm_grad/FusedBatchNormGrad",
  52010. "op": "FusedBatchNormGrad",
  52011. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput",
  52012. "input1": "tower_3/training/TFOptimizer/gradients/tower_3/batch_normalization/FusedBatchNorm_grad/FusedBatchNormGrad-1-TransposeNHWCToNCHW-LayoutOptimizer",
  52013. "input2": "tower_3/batch_normalization/ReadVariableOp",
  52014. "input3": "tower_3/batch_normalization/FusedBatchNorm:3",
  52015. "input4": "tower_3/batch_normalization/FusedBatchNorm:4",
  52016. "input5": "^tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter"
  52017. }
  52018. },
  52019. {
  52020. "ph": "s",
  52021. "cat": "DataFlow",
  52022. "name": "tower_3/batch_normalization/FusedBatchNorm:3",
  52023. "pid": 19,
  52024. "tid": 2,
  52025. "ts": 1539815916895316,
  52026. "id": 31
  52027. },
  52028. {
  52029. "ph": "t",
  52030. "cat": "DataFlow",
  52031. "name": "tower_3/batch_normalization/FusedBatchNorm:3",
  52032. "pid": 19,
  52033. "tid": 0,
  52034. "ts": 1539815917092556,
  52035. "id": 31
  52036. },
  52037. {
  52038. "ph": "s",
  52039. "cat": "DataFlow",
  52040. "name": "tower_3/batch_normalization/FusedBatchNorm:4",
  52041. "pid": 19,
  52042. "tid": 2,
  52043. "ts": 1539815916895316,
  52044. "id": 32
  52045. },
  52046. {
  52047. "ph": "t",
  52048. "cat": "DataFlow",
  52049. "name": "tower_3/batch_normalization/FusedBatchNorm:4",
  52050. "pid": 19,
  52051. "tid": 0,
  52052. "ts": 1539815917092556,
  52053. "id": 32
  52054. },
  52055. {
  52056. "ph": "X",
  52057. "cat": "Op",
  52058. "name": "Reshape",
  52059. "pid": 19,
  52060. "tid": 0,
  52061. "ts": 1539815917092654,
  52062. "dur": 10,
  52063. "args": {
  52064. "name": "training/TFOptimizer/Reshape_50",
  52065. "op": "Reshape",
  52066. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  52067. "input1": "training/TFOptimizer/Reshape_48/shape",
  52068. "input2": "^tower_3/training/TFOptimizer/gradients/tower_3/conv2d/Conv2D_grad/Conv2DBackpropInput"
  52069. }
  52070. },
  52071. {
  52072. "ph": "X",
  52073. "cat": "Op",
  52074. "name": "ConcatV2",
  52075. "pid": 19,
  52076. "tid": 0,
  52077. "ts": 1539815917092667,
  52078. "dur": 1181,
  52079. "args": {
  52080. "name": "training/TFOptimizer/concat_3",
  52081. "op": "ConcatV2",
  52082. "input0": "tower_3/training/TFOptimizer/gradients/tower_3/batch_normalization/FusedBatchNorm_grad/FusedBatchNormGrad:1",
  52083. "input1": "tower_3/training/TFOptimizer/gradients/tower_3/batch_normalization/FusedBatchNorm_grad/FusedBatchNormGrad:2",
  52084. "input2": "training/TFOptimizer/Reshape_50",
  52085. "input3": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d/BiasAdd_grad/BiasAddGrad",
  52086. "input4": "tower_3/training/TFOptimizer/gradients/tower_3/batch_normalization_1/FusedBatchNorm_grad/FusedBatchNormGrad:1",
  52087. "input5": "tower_3/training/TFOptimizer/gradients/tower_3/batch_normalization_1/FusedBatchNorm_grad/FusedBatchNormGrad:2",
  52088. "input6": "training/TFOptimizer/Reshape_54",
  52089. "input7": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_1/BiasAdd_grad/BiasAddGrad",
  52090. "input8": "tower_3/training/TFOptimizer/gradients/tower_3/batch_normalization_2/FusedBatchNorm_grad/FusedBatchNormGrad:1",
  52091. "input9": "tower_3/training/TFOptimizer/gradients/tower_3/batch_normalization_2/FusedBatchNorm_grad/FusedBatchNormGrad:2",
  52092. "input10": "training/TFOptimizer/Reshape_58",
  52093. "input11": "tower_3/training/TFOptimizer/gradients/tower_3/conv2d_2/BiasAdd_grad/BiasAddGrad",
  52094. "input12": "training/TFOptimizer/Reshape_60",
  52095. "input13": "tower_3/training/TFOptimizer/gradients/tower_3/dense/BiasAdd_grad/BiasAddGrad",
  52096. "input14": "training/TFOptimizer/Reshape_62",
  52097. "input15": "tower_3/training/TFOptimizer/gradients/tower_3/dense_1/BiasAdd_grad/BiasAddGrad",
  52098. "input16": "training/TFOptimizer/concat_3/axis"
  52099. }
  52100. },
  52101. {
  52102. "ph": "X",
  52103. "cat": "Op",
  52104. "name": "NcclAllReduce",
  52105. "pid": 19,
  52106. "tid": 0,
  52107. "ts": 1539815917093865,
  52108. "dur": 468306,
  52109. "args": {
  52110. "name": "training/TFOptimizer/NcclAllReduce_3",
  52111. "op": "NcclAllReduce",
  52112. "input0": "training/TFOptimizer/concat_3"
  52113. }
  52114. },
  52115. {
  52116. "ph": "X",
  52117. "cat": "Op",
  52118. "name": "SplitV",
  52119. "pid": 19,
  52120. "tid": 0,
  52121. "ts": 1539815917562249,
  52122. "dur": 1934,
  52123. "args": {
  52124. "name": "training/TFOptimizer/split_7",
  52125. "op": "SplitV",
  52126. "input0": "training/TFOptimizer/NcclAllReduce_3",
  52127. "input1": "training/TFOptimizer/packed_3",
  52128. "input2": "training/TFOptimizer/split_7/split_dim"
  52129. }
  52130. },
  52131. {
  52132. "ph": "X",
  52133. "cat": "Op",
  52134. "name": "Reshape",
  52135. "pid": 19,
  52136. "tid": 0,
  52137. "ts": 1539815917564193,
  52138. "dur": 32,
  52139. "args": {
  52140. "name": "training/TFOptimizer/Reshape_122",
  52141. "op": "Reshape",
  52142. "input0": "training/TFOptimizer/split_7:10",
  52143. "input1": "training/TFOptimizer/Shape_58"
  52144. }
  52145. },
  52146. {
  52147. "ph": "X",
  52148. "cat": "Op",
  52149. "name": "Reshape",
  52150. "pid": 19,
  52151. "tid": 0,
  52152. "ts": 1539815917564229,
  52153. "dur": 7,
  52154. "args": {
  52155. "name": "training/TFOptimizer/Reshape_124",
  52156. "op": "Reshape",
  52157. "input0": "training/TFOptimizer/split_7:12",
  52158. "input1": "training/TFOptimizer/Shape_60"
  52159. }
  52160. },
  52161. {
  52162. "ph": "X",
  52163. "cat": "Op",
  52164. "name": "Reshape",
  52165. "pid": 19,
  52166. "tid": 0,
  52167. "ts": 1539815917564239,
  52168. "dur": 5,
  52169. "args": {
  52170. "name": "training/TFOptimizer/Reshape_126",
  52171. "op": "Reshape",
  52172. "input0": "training/TFOptimizer/split_7:14",
  52173. "input1": "training/TFOptimizer/Shape_62"
  52174. }
  52175. },
  52176. {
  52177. "ph": "X",
  52178. "cat": "Op",
  52179. "name": "Reshape",
  52180. "pid": 19,
  52181. "tid": 0,
  52182. "ts": 1539815917564246,
  52183. "dur": 100,
  52184. "args": {
  52185. "name": "training/TFOptimizer/Reshape_114",
  52186. "op": "Reshape",
  52187. "input0": "training/TFOptimizer/split_7:2",
  52188. "input1": "training/TFOptimizer/Shape_50"
  52189. }
  52190. },
  52191. {
  52192. "ph": "X",
  52193. "cat": "Op",
  52194. "name": "Reshape",
  52195. "pid": 19,
  52196. "tid": 0,
  52197. "ts": 1539815917564349,
  52198. "dur": 6,
  52199. "args": {
  52200. "name": "training/TFOptimizer/Reshape_118",
  52201. "op": "Reshape",
  52202. "input0": "training/TFOptimizer/split_7:6",
  52203. "input1": "training/TFOptimizer/Shape_54"
  52204. }
  52205. },
  52206. {
  52207. "ph": "X",
  52208. "cat": "Op",
  52209. "name": "ResourceApplyAdam",
  52210. "pid": 19,
  52211. "tid": 0,
  52212. "ts": 1539815917564358,
  52213. "dur": 4064,
  52214. "args": {
  52215. "name": "training/TFOptimizer/Adam/update_3_9/update_batch_normalization_2/beta/replica_3/ResourceApplyAdam",
  52216. "op": "ResourceApplyAdam",
  52217. "input0": "batch_normalization_2/beta/replica_3",
  52218. "input1": "batch_normalization_2/beta/Adam/replica_3",
  52219. "input2": "batch_normalization_2/beta/Adam_1/replica_3",
  52220. "input3": "training/TFOptimizer/Adam/update_3_9/update_batch_normalization_2/beta/replica_3/ResourceApplyAdam/ReadVariableOp",
  52221. "input4": "training/TFOptimizer/Adam/update_3_9/update_batch_normalization_2/beta/replica_3/ResourceApplyAdam/ReadVariableOp_1",
  52222. "input5": "training/TFOptimizer/Adam/learning_rate/_1411",
  52223. "input6": "training/TFOptimizer/Adam/beta1/_1413",
  52224. "input7": "training/TFOptimizer/Adam/beta2/_1415",
  52225. "input8": "training/TFOptimizer/Adam/epsilon/_1417",
  52226. "input9": "training/TFOptimizer/split_7:9"
  52227. }
  52228. },
  52229. {
  52230. "ph": "s",
  52231. "cat": "DataFlow",
  52232. "name": "training/TFOptimizer/Adam/learning_rate",
  52233. "pid": 41,
  52234. "tid": 0,
  52235. "ts": 1539815912099124,
  52236. "id": 33
  52237. },
  52238. {
  52239. "ph": "t",
  52240. "cat": "DataFlow",
  52241. "name": "training/TFOptimizer/Adam/learning_rate",
  52242. "pid": 19,
  52243. "tid": 0,
  52244. "ts": 1539815917564358,
  52245. "id": 33
  52246. },
  52247. {
  52248. "ph": "s",
  52249. "cat": "DataFlow",
  52250. "name": "training/TFOptimizer/Adam/beta1",
  52251. "pid": 41,
  52252. "tid": 0,
  52253. "ts": 1539815912099133,
  52254. "id": 34
  52255. },
  52256. {
  52257. "ph": "t",
  52258. "cat": "DataFlow",
  52259. "name": "training/TFOptimizer/Adam/beta1",
  52260. "pid": 19,
  52261. "tid": 0,
  52262. "ts": 1539815917564358,
  52263. "id": 34
  52264. },
  52265. {
  52266. "ph": "s",
  52267. "cat": "DataFlow",
  52268. "name": "training/TFOptimizer/Adam/beta2",
  52269. "pid": 41,
  52270. "tid": 0,
  52271. "ts": 1539815912099143,
  52272. "id": 35
  52273. },
  52274. {
  52275. "ph": "t",
  52276. "cat": "DataFlow",
  52277. "name": "training/TFOptimizer/Adam/beta2",
  52278. "pid": 19,
  52279. "tid": 0,
  52280. "ts": 1539815917564358,
  52281. "id": 35
  52282. },
  52283. {
  52284. "ph": "s",
  52285. "cat": "DataFlow",
  52286. "name": "training/TFOptimizer/Adam/epsilon",
  52287. "pid": 41,
  52288. "tid": 0,
  52289. "ts": 1539815912099150,
  52290. "id": 36
  52291. },
  52292. {
  52293. "ph": "t",
  52294. "cat": "DataFlow",
  52295. "name": "training/TFOptimizer/Adam/epsilon",
  52296. "pid": 19,
  52297. "tid": 0,
  52298. "ts": 1539815917564358,
  52299. "id": 36
  52300. },
  52301. {
  52302. "ph": "X",
  52303. "cat": "Op",
  52304. "name": "ResourceApplyAdam",
  52305. "pid": 19,
  52306. "tid": 0,
  52307. "ts": 1539815917568430,
  52308. "dur": 135,
  52309. "args": {
  52310. "name": "training/TFOptimizer/Adam/update_3/update_batch_normalization/gamma/replica_3/ResourceApplyAdam",
  52311. "op": "ResourceApplyAdam",
  52312. "input0": "batch_normalization/gamma/replica_3",
  52313. "input1": "batch_normalization/gamma/Adam/replica_3",
  52314. "input2": "batch_normalization/gamma/Adam_1/replica_3",
  52315. "input3": "training/TFOptimizer/Adam/update_3/update_batch_normalization/gamma/replica_3/ResourceApplyAdam/ReadVariableOp",
  52316. "input4": "training/TFOptimizer/Adam/update_3/update_batch_normalization/gamma/replica_3/ResourceApplyAdam/ReadVariableOp_1",
  52317. "input5": "training/TFOptimizer/Adam/learning_rate/_1411",
  52318. "input6": "training/TFOptimizer/Adam/beta1/_1413",
  52319. "input7": "training/TFOptimizer/Adam/beta2/_1415",
  52320. "input8": "training/TFOptimizer/Adam/epsilon/_1417",
  52321. "input9": "training/TFOptimizer/split_7"
  52322. }
  52323. },
  52324. {
  52325. "ph": "s",
  52326. "cat": "DataFlow",
  52327. "name": "training/TFOptimizer/Adam/learning_rate",
  52328. "pid": 41,
  52329. "tid": 0,
  52330. "ts": 1539815912099124,
  52331. "id": 37
  52332. },
  52333. {
  52334. "ph": "t",
  52335. "cat": "DataFlow",
  52336. "name": "training/TFOptimizer/Adam/learning_rate",
  52337. "pid": 19,
  52338. "tid": 0,
  52339. "ts": 1539815917568430,
  52340. "id": 37
  52341. },
  52342. {
  52343. "ph": "s",
  52344. "cat": "DataFlow",
  52345. "name": "training/TFOptimizer/Adam/beta1",
  52346. "pid": 41,
  52347. "tid": 0,
  52348. "ts": 1539815912099133,
  52349. "id": 38
  52350. },
  52351. {
  52352. "ph": "t",
  52353. "cat": "DataFlow",
  52354. "name": "training/TFOptimizer/Adam/beta1",
  52355. "pid": 19,
  52356. "tid": 0,
  52357. "ts": 1539815917568430,
  52358. "id": 38
  52359. },
  52360. {
  52361. "ph": "s",
  52362. "cat": "DataFlow",
  52363. "name": "training/TFOptimizer/Adam/beta2",
  52364. "pid": 41,
  52365. "tid": 0,
  52366. "ts": 1539815912099143,
  52367. "id": 39
  52368. },
  52369. {
  52370. "ph": "t",
  52371. "cat": "DataFlow",
  52372. "name": "training/TFOptimizer/Adam/beta2",
  52373. "pid": 19,
  52374. "tid": 0,
  52375. "ts": 1539815917568430,
  52376. "id": 39
  52377. },
  52378. {
  52379. "ph": "s",
  52380. "cat": "DataFlow",
  52381. "name": "training/TFOptimizer/Adam/epsilon",
  52382. "pid": 41,
  52383. "tid": 0,
  52384. "ts": 1539815912099150,
  52385. "id": 40
  52386. },
  52387. {
  52388. "ph": "t",
  52389. "cat": "DataFlow",
  52390. "name": "training/TFOptimizer/Adam/epsilon",
  52391. "pid": 19,
  52392. "tid": 0,
  52393. "ts": 1539815917568430,
  52394. "id": 40
  52395. },
  52396. {
  52397. "ph": "X",
  52398. "cat": "Op",
  52399. "name": "ResourceApplyAdam",
  52400. "pid": 19,
  52401. "tid": 0,
  52402. "ts": 1539815917568570,
  52403. "dur": 203,
  52404. "args": {
  52405. "name": "training/TFOptimizer/Adam/update_3_1/update_batch_normalization/beta/replica_3/ResourceApplyAdam",
  52406. "op": "ResourceApplyAdam",
  52407. "input0": "batch_normalization/beta/replica_3",
  52408. "input1": "batch_normalization/beta/Adam/replica_3",
  52409. "input2": "batch_normalization/beta/Adam_1/replica_3",
  52410. "input3": "training/TFOptimizer/Adam/update_3_1/update_batch_normalization/beta/replica_3/ResourceApplyAdam/ReadVariableOp",
  52411. "input4": "training/TFOptimizer/Adam/update_3_1/update_batch_normalization/beta/replica_3/ResourceApplyAdam/ReadVariableOp_1",
  52412. "input5": "training/TFOptimizer/Adam/learning_rate/_1411",
  52413. "input6": "training/TFOptimizer/Adam/beta1/_1413",
  52414. "input7": "training/TFOptimizer/Adam/beta2/_1415",
  52415. "input8": "training/TFOptimizer/Adam/epsilon/_1417",
  52416. "input9": "training/TFOptimizer/split_7:1"
  52417. }
  52418. },
  52419. {
  52420. "ph": "s",
  52421. "cat": "DataFlow",
  52422. "name": "training/TFOptimizer/Adam/learning_rate",
  52423. "pid": 41,
  52424. "tid": 0,
  52425. "ts": 1539815912099124,
  52426. "id": 41
  52427. },
  52428. {
  52429. "ph": "t",
  52430. "cat": "DataFlow",
  52431. "name": "training/TFOptimizer/Adam/learning_rate",
  52432. "pid": 19,
  52433. "tid": 0,
  52434. "ts": 1539815917568570,
  52435. "id": 41
  52436. },
  52437. {
  52438. "ph": "s",
  52439. "cat": "DataFlow",
  52440. "name": "training/TFOptimizer/Adam/beta1",
  52441. "pid": 41,
  52442. "tid": 0,
  52443. "ts": 1539815912099133,
  52444. "id": 42
  52445. },
  52446. {
  52447. "ph": "t",
  52448. "cat": "DataFlow",
  52449. "name": "training/TFOptimizer/Adam/beta1",
  52450. "pid": 19,
  52451. "tid": 0,
  52452. "ts": 1539815917568570,
  52453. "id": 42
  52454. },
  52455. {
  52456. "ph": "s",
  52457. "cat": "DataFlow",
  52458. "name": "training/TFOptimizer/Adam/beta2",
  52459. "pid": 41,
  52460. "tid": 0,
  52461. "ts": 1539815912099143,
  52462. "id": 43
  52463. },
  52464. {
  52465. "ph": "t",
  52466. "cat": "DataFlow",
  52467. "name": "training/TFOptimizer/Adam/beta2",
  52468. "pid": 19,
  52469. "tid": 0,
  52470. "ts": 1539815917568570,
  52471. "id": 43
  52472. },
  52473. {
  52474. "ph": "s",
  52475. "cat": "DataFlow",
  52476. "name": "training/TFOptimizer/Adam/epsilon",
  52477. "pid": 41,
  52478. "tid": 0,
  52479. "ts": 1539815912099150,
  52480. "id": 44
  52481. },
  52482. {
  52483. "ph": "t",
  52484. "cat": "DataFlow",
  52485. "name": "training/TFOptimizer/Adam/epsilon",
  52486. "pid": 19,
  52487. "tid": 0,
  52488. "ts": 1539815917568570,
  52489. "id": 44
  52490. },
  52491. {
  52492. "ph": "X",
  52493. "cat": "Op",
  52494. "name": "ResourceApplyAdam",
  52495. "pid": 19,
  52496. "tid": 0,
  52497. "ts": 1539815917568785,
  52498. "dur": 98,
  52499. "args": {
  52500. "name": "training/TFOptimizer/Adam/update_3_11/update_conv2d_2/bias/replica_3/ResourceApplyAdam",
  52501. "op": "ResourceApplyAdam",
  52502. "input0": "conv2d_2/bias/replica_3",
  52503. "input1": "conv2d_2/bias/Adam/replica_3",
  52504. "input2": "conv2d_2/bias/Adam_1/replica_3",
  52505. "input3": "training/TFOptimizer/Adam/update_3_11/update_conv2d_2/bias/replica_3/ResourceApplyAdam/ReadVariableOp",
  52506. "input4": "training/TFOptimizer/Adam/update_3_11/update_conv2d_2/bias/replica_3/ResourceApplyAdam/ReadVariableOp_1",
  52507. "input5": "training/TFOptimizer/Adam/learning_rate/_1411",
  52508. "input6": "training/TFOptimizer/Adam/beta1/_1413",
  52509. "input7": "training/TFOptimizer/Adam/beta2/_1415",
  52510. "input8": "training/TFOptimizer/Adam/epsilon/_1417",
  52511. "input9": "training/TFOptimizer/split_7:11"
  52512. }
  52513. },
  52514. {
  52515. "ph": "s",
  52516. "cat": "DataFlow",
  52517. "name": "training/TFOptimizer/Adam/learning_rate",
  52518. "pid": 41,
  52519. "tid": 0,
  52520. "ts": 1539815912099124,
  52521. "id": 45
  52522. },
  52523. {
  52524. "ph": "t",
  52525. "cat": "DataFlow",
  52526. "name": "training/TFOptimizer/Adam/learning_rate",
  52527. "pid": 19,
  52528. "tid": 0,
  52529. "ts": 1539815917568785,
  52530. "id": 45
  52531. },
  52532. {
  52533. "ph": "s",
  52534. "cat": "DataFlow",
  52535. "name": "training/TFOptimizer/Adam/beta1",
  52536. "pid": 41,
  52537. "tid": 0,
  52538. "ts": 1539815912099133,
  52539. "id": 46
  52540. },
  52541. {
  52542. "ph": "t",
  52543. "cat": "DataFlow",
  52544. "name": "training/TFOptimizer/Adam/beta1",
  52545. "pid": 19,
  52546. "tid": 0,
  52547. "ts": 1539815917568785,
  52548. "id": 46
  52549. },
  52550. {
  52551. "ph": "s",
  52552. "cat": "DataFlow",
  52553. "name": "training/TFOptimizer/Adam/beta2",
  52554. "pid": 41,
  52555. "tid": 0,
  52556. "ts": 1539815912099143,
  52557. "id": 47
  52558. },
  52559. {
  52560. "ph": "t",
  52561. "cat": "DataFlow",
  52562. "name": "training/TFOptimizer/Adam/beta2",
  52563. "pid": 19,
  52564. "tid": 0,
  52565. "ts": 1539815917568785,
  52566. "id": 47
  52567. },
  52568. {
  52569. "ph": "s",
  52570. "cat": "DataFlow",
  52571. "name": "training/TFOptimizer/Adam/epsilon",
  52572. "pid": 41,
  52573. "tid": 0,
  52574. "ts": 1539815912099150,
  52575. "id": 48
  52576. },
  52577. {
  52578. "ph": "t",
  52579. "cat": "DataFlow",
  52580. "name": "training/TFOptimizer/Adam/epsilon",
  52581. "pid": 19,
  52582. "tid": 0,
  52583. "ts": 1539815917568785,
  52584. "id": 48
  52585. },
  52586. {
  52587. "ph": "X",
  52588. "cat": "Op",
  52589. "name": "ResourceApplyAdam",
  52590. "pid": 19,
  52591. "tid": 0,
  52592. "ts": 1539815917568893,
  52593. "dur": 138,
  52594. "args": {
  52595. "name": "training/TFOptimizer/Adam/update_3_13/update_dense/bias/replica_3/ResourceApplyAdam",
  52596. "op": "ResourceApplyAdam",
  52597. "input0": "dense/bias/replica_3",
  52598. "input1": "dense/bias/Adam/replica_3",
  52599. "input2": "dense/bias/Adam_1/replica_3",
  52600. "input3": "training/TFOptimizer/Adam/update_3_13/update_dense/bias/replica_3/ResourceApplyAdam/ReadVariableOp",
  52601. "input4": "training/TFOptimizer/Adam/update_3_13/update_dense/bias/replica_3/ResourceApplyAdam/ReadVariableOp_1",
  52602. "input5": "training/TFOptimizer/Adam/learning_rate/_1411",
  52603. "input6": "training/TFOptimizer/Adam/beta1/_1413",
  52604. "input7": "training/TFOptimizer/Adam/beta2/_1415",
  52605. "input8": "training/TFOptimizer/Adam/epsilon/_1417",
  52606. "input9": "training/TFOptimizer/split_7:13"
  52607. }
  52608. },
  52609. {
  52610. "ph": "s",
  52611. "cat": "DataFlow",
  52612. "name": "training/TFOptimizer/Adam/learning_rate",
  52613. "pid": 41,
  52614. "tid": 0,
  52615. "ts": 1539815912099124,
  52616. "id": 49
  52617. },
  52618. {
  52619. "ph": "t",
  52620. "cat": "DataFlow",
  52621. "name": "training/TFOptimizer/Adam/learning_rate",
  52622. "pid": 19,
  52623. "tid": 0,
  52624. "ts": 1539815917568893,
  52625. "id": 49
  52626. },
  52627. {
  52628. "ph": "s",
  52629. "cat": "DataFlow",
  52630. "name": "training/TFOptimizer/Adam/beta1",
  52631. "pid": 41,
  52632. "tid": 0,
  52633. "ts": 1539815912099133,
  52634. "id": 50
  52635. },
  52636. {
  52637. "ph": "t",
  52638. "cat": "DataFlow",
  52639. "name": "training/TFOptimizer/Adam/beta1",
  52640. "pid": 19,
  52641. "tid": 0,
  52642. "ts": 1539815917568893,
  52643. "id": 50
  52644. },
  52645. {
  52646. "ph": "s",
  52647. "cat": "DataFlow",
  52648. "name": "training/TFOptimizer/Adam/beta2",
  52649. "pid": 41,
  52650. "tid": 0,
  52651. "ts": 1539815912099143,
  52652. "id": 51
  52653. },
  52654. {
  52655. "ph": "t",
  52656. "cat": "DataFlow",
  52657. "name": "training/TFOptimizer/Adam/beta2",
  52658. "pid": 19,
  52659. "tid": 0,
  52660. "ts": 1539815917568893,
  52661. "id": 51
  52662. },
  52663. {
  52664. "ph": "s",
  52665. "cat": "DataFlow",
  52666. "name": "training/TFOptimizer/Adam/epsilon",
  52667. "pid": 41,
  52668. "tid": 0,
  52669. "ts": 1539815912099150,
  52670. "id": 52
  52671. },
  52672. {
  52673. "ph": "t",
  52674. "cat": "DataFlow",
  52675. "name": "training/TFOptimizer/Adam/epsilon",
  52676. "pid": 19,
  52677. "tid": 0,
  52678. "ts": 1539815917568893,
  52679. "id": 52
  52680. },
  52681. {
  52682. "ph": "X",
  52683. "cat": "Op",
  52684. "name": "ResourceApplyAdam",
  52685. "pid": 19,
  52686. "tid": 0,
  52687. "ts": 1539815917569036,
  52688. "dur": 127,
  52689. "args": {
  52690. "name": "training/TFOptimizer/Adam/update_3_15/update_dense_1/bias/replica_3/ResourceApplyAdam",
  52691. "op": "ResourceApplyAdam",
  52692. "input0": "dense_1/bias/replica_3",
  52693. "input1": "dense_1/bias/Adam/replica_3",
  52694. "input2": "dense_1/bias/Adam_1/replica_3",
  52695. "input3": "training/TFOptimizer/Adam/update_3_15/update_dense_1/bias/replica_3/ResourceApplyAdam/ReadVariableOp",
  52696. "input4": "training/TFOptimizer/Adam/update_3_15/update_dense_1/bias/replica_3/ResourceApplyAdam/ReadVariableOp_1",
  52697. "input5": "training/TFOptimizer/Adam/learning_rate/_1411",
  52698. "input6": "training/TFOptimizer/Adam/beta1/_1413",
  52699. "input7": "training/TFOptimizer/Adam/beta2/_1415",
  52700. "input8": "training/TFOptimizer/Adam/epsilon/_1417",
  52701. "input9": "training/TFOptimizer/split_7:15"
  52702. }
  52703. },
  52704. {
  52705. "ph": "s",
  52706. "cat": "DataFlow",
  52707. "name": "training/TFOptimizer/Adam/learning_rate",
  52708. "pid": 41,
  52709. "tid": 0,
  52710. "ts": 1539815912099124,
  52711. "id": 53
  52712. },
  52713. {
  52714. "ph": "t",
  52715. "cat": "DataFlow",
  52716. "name": "training/TFOptimizer/Adam/learning_rate",
  52717. "pid": 19,
  52718. "tid": 0,
  52719. "ts": 1539815917569036,
  52720. "id": 53
  52721. },
  52722. {
  52723. "ph": "s",
  52724. "cat": "DataFlow",
  52725. "name": "training/TFOptimizer/Adam/beta1",
  52726. "pid": 41,
  52727. "tid": 0,
  52728. "ts": 1539815912099133,
  52729. "id": 54
  52730. },
  52731. {
  52732. "ph": "t",
  52733. "cat": "DataFlow",
  52734. "name": "training/TFOptimizer/Adam/beta1",
  52735. "pid": 19,
  52736. "tid": 0,
  52737. "ts": 1539815917569036,
  52738. "id": 54
  52739. },
  52740. {
  52741. "ph": "s",
  52742. "cat": "DataFlow",
  52743. "name": "training/TFOptimizer/Adam/beta2",
  52744. "pid": 41,
  52745. "tid": 0,
  52746. "ts": 1539815912099143,
  52747. "id": 55
  52748. },
  52749. {
  52750. "ph": "t",
  52751. "cat": "DataFlow",
  52752. "name": "training/TFOptimizer/Adam/beta2",
  52753. "pid": 19,
  52754. "tid": 0,
  52755. "ts": 1539815917569036,
  52756. "id": 55
  52757. },
  52758. {
  52759. "ph": "s",
  52760. "cat": "DataFlow",
  52761. "name": "training/TFOptimizer/Adam/epsilon",
  52762. "pid": 41,
  52763. "tid": 0,
  52764. "ts": 1539815912099150,
  52765. "id": 56
  52766. },
  52767. {
  52768. "ph": "t",
  52769. "cat": "DataFlow",
  52770. "name": "training/TFOptimizer/Adam/epsilon",
  52771. "pid": 19,
  52772. "tid": 0,
  52773. "ts": 1539815917569036,
  52774. "id": 56
  52775. },
  52776. {
  52777. "ph": "X",
  52778. "cat": "Op",
  52779. "name": "ResourceApplyAdam",
  52780. "pid": 19,
  52781. "tid": 0,
  52782. "ts": 1539815917569169,
  52783. "dur": 243,
  52784. "args": {
  52785. "name": "training/TFOptimizer/Adam/update_3_3/update_conv2d/bias/replica_3/ResourceApplyAdam",
  52786. "op": "ResourceApplyAdam",
  52787. "input0": "conv2d/bias/replica_3",
  52788. "input1": "conv2d/bias/Adam/replica_3",
  52789. "input2": "conv2d/bias/Adam_1/replica_3",
  52790. "input3": "training/TFOptimizer/Adam/update_3_3/update_conv2d/bias/replica_3/ResourceApplyAdam/ReadVariableOp",
  52791. "input4": "training/TFOptimizer/Adam/update_3_3/update_conv2d/bias/replica_3/ResourceApplyAdam/ReadVariableOp_1",
  52792. "input5": "training/TFOptimizer/Adam/learning_rate/_1411",
  52793. "input6": "training/TFOptimizer/Adam/beta1/_1413",
  52794. "input7": "training/TFOptimizer/Adam/beta2/_1415",
  52795. "input8": "training/TFOptimizer/Adam/epsilon/_1417",
  52796. "input9": "training/TFOptimizer/split_7:3"
  52797. }
  52798. },
  52799. {
  52800. "ph": "s",
  52801. "cat": "DataFlow",
  52802. "name": "training/TFOptimizer/Adam/learning_rate",
  52803. "pid": 41,
  52804. "tid": 0,
  52805. "ts": 1539815912099124,
  52806. "id": 57
  52807. },
  52808. {
  52809. "ph": "t",
  52810. "cat": "DataFlow",
  52811. "name": "training/TFOptimizer/Adam/learning_rate",
  52812. "pid": 19,
  52813. "tid": 0,
  52814. "ts": 1539815917569169,
  52815. "id": 57
  52816. },
  52817. {
  52818. "ph": "s",
  52819. "cat": "DataFlow",
  52820. "name": "training/TFOptimizer/Adam/beta1",
  52821. "pid": 41,
  52822. "tid": 0,
  52823. "ts": 1539815912099133,
  52824. "id": 58
  52825. },
  52826. {
  52827. "ph": "t",
  52828. "cat": "DataFlow",
  52829. "name": "training/TFOptimizer/Adam/beta1",
  52830. "pid": 19,
  52831. "tid": 0,
  52832. "ts": 1539815917569169,
  52833. "id": 58
  52834. },
  52835. {
  52836. "ph": "s",
  52837. "cat": "DataFlow",
  52838. "name": "training/TFOptimizer/Adam/beta2",
  52839. "pid": 41,
  52840. "tid": 0,
  52841. "ts": 1539815912099143,
  52842. "id": 59
  52843. },
  52844. {
  52845. "ph": "t",
  52846. "cat": "DataFlow",
  52847. "name": "training/TFOptimizer/Adam/beta2",
  52848. "pid": 19,
  52849. "tid": 0,
  52850. "ts": 1539815917569169,
  52851. "id": 59
  52852. },
  52853. {
  52854. "ph": "s",
  52855. "cat": "DataFlow",
  52856. "name": "training/TFOptimizer/Adam/epsilon",
  52857. "pid": 41,
  52858. "tid": 0,
  52859. "ts": 1539815912099150,
  52860. "id": 60
  52861. },
  52862. {
  52863. "ph": "t",
  52864. "cat": "DataFlow",
  52865. "name": "training/TFOptimizer/Adam/epsilon",
  52866. "pid": 19,
  52867. "tid": 0,
  52868. "ts": 1539815917569169,
  52869. "id": 60
  52870. },
  52871. {
  52872. "ph": "X",
  52873. "cat": "Op",
  52874. "name": "ResourceApplyAdam",
  52875. "pid": 19,
  52876. "tid": 0,
  52877. "ts": 1539815917569423,
  52878. "dur": 118,
  52879. "args": {
  52880. "name": "training/TFOptimizer/Adam/update_3_4/update_batch_normalization_1/gamma/replica_3/ResourceApplyAdam",
  52881. "op": "ResourceApplyAdam",
  52882. "input0": "batch_normalization_1/gamma/replica_3",
  52883. "input1": "batch_normalization_1/gamma/Adam/replica_3",
  52884. "input2": "batch_normalization_1/gamma/Adam_1/replica_3",
  52885. "input3": "training/TFOptimizer/Adam/update_3_4/update_batch_normalization_1/gamma/replica_3/ResourceApplyAdam/ReadVariableOp",
  52886. "input4": "training/TFOptimizer/Adam/update_3_4/update_batch_normalization_1/gamma/replica_3/ResourceApplyAdam/ReadVariableOp_1",
  52887. "input5": "training/TFOptimizer/Adam/learning_rate/_1411",
  52888. "input6": "training/TFOptimizer/Adam/beta1/_1413",
  52889. "input7": "training/TFOptimizer/Adam/beta2/_1415",
  52890. "input8": "training/TFOptimizer/Adam/epsilon/_1417",
  52891. "input9": "training/TFOptimizer/split_7:4"
  52892. }
  52893. },
  52894. {
  52895. "ph": "s",
  52896. "cat": "DataFlow",
  52897. "name": "training/TFOptimizer/Adam/learning_rate",
  52898. "pid": 41,
  52899. "tid": 0,
  52900. "ts": 1539815912099124,
  52901. "id": 61
  52902. },
  52903. {
  52904. "ph": "t",
  52905. "cat": "DataFlow",
  52906. "name": "training/TFOptimizer/Adam/learning_rate",
  52907. "pid": 19,
  52908. "tid": 0,
  52909. "ts": 1539815917569423,
  52910. "id": 61
  52911. },
  52912. {
  52913. "ph": "s",
  52914. "cat": "DataFlow",
  52915. "name": "training/TFOptimizer/Adam/beta1",
  52916. "pid": 41,
  52917. "tid": 0,
  52918. "ts": 1539815912099133,
  52919. "id": 62
  52920. },
  52921. {
  52922. "ph": "t",
  52923. "cat": "DataFlow",
  52924. "name": "training/TFOptimizer/Adam/beta1",
  52925. "pid": 19,
  52926. "tid": 0,
  52927. "ts": 1539815917569423,
  52928. "id": 62
  52929. },
  52930. {
  52931. "ph": "s",
  52932. "cat": "DataFlow",
  52933. "name": "training/TFOptimizer/Adam/beta2",
  52934. "pid": 41,
  52935. "tid": 0,
  52936. "ts": 1539815912099143,
  52937. "id": 63
  52938. },
  52939. {
  52940. "ph": "t",
  52941. "cat": "DataFlow",
  52942. "name": "training/TFOptimizer/Adam/beta2",
  52943. "pid": 19,
  52944. "tid": 0,
  52945. "ts": 1539815917569423,
  52946. "id": 63
  52947. },
  52948. {
  52949. "ph": "s",
  52950. "cat": "DataFlow",
  52951. "name": "training/TFOptimizer/Adam/epsilon",
  52952. "pid": 41,
  52953. "tid": 0,
  52954. "ts": 1539815912099150,
  52955. "id": 64
  52956. },
  52957. {
  52958. "ph": "t",
  52959. "cat": "DataFlow",
  52960. "name": "training/TFOptimizer/Adam/epsilon",
  52961. "pid": 19,
  52962. "tid": 0,
  52963. "ts": 1539815917569423,
  52964. "id": 64
  52965. },
  52966. {
  52967. "ph": "X",
  52968. "cat": "Op",
  52969. "name": "ResourceApplyAdam",
  52970. "pid": 19,
  52971. "tid": 0,
  52972. "ts": 1539815917569546,
  52973. "dur": 170,
  52974. "args": {
  52975. "name": "training/TFOptimizer/Adam/update_3_5/update_batch_normalization_1/beta/replica_3/ResourceApplyAdam",
  52976. "op": "ResourceApplyAdam",
  52977. "input0": "batch_normalization_1/beta/replica_3",
  52978. "input1": "batch_normalization_1/beta/Adam/replica_3",
  52979. "input2": "batch_normalization_1/beta/Adam_1/replica_3",
  52980. "input3": "training/TFOptimizer/Adam/update_3_5/update_batch_normalization_1/beta/replica_3/ResourceApplyAdam/ReadVariableOp",
  52981. "input4": "training/TFOptimizer/Adam/update_3_5/update_batch_normalization_1/beta/replica_3/ResourceApplyAdam/ReadVariableOp_1",
  52982. "input5": "training/TFOptimizer/Adam/learning_rate/_1411",
  52983. "input6": "training/TFOptimizer/Adam/beta1/_1413",
  52984. "input7": "training/TFOptimizer/Adam/beta2/_1415",
  52985. "input8": "training/TFOptimizer/Adam/epsilon/_1417",
  52986. "input9": "training/TFOptimizer/split_7:5"
  52987. }
  52988. },
  52989. {
  52990. "ph": "s",
  52991. "cat": "DataFlow",
  52992. "name": "training/TFOptimizer/Adam/learning_rate",
  52993. "pid": 41,
  52994. "tid": 0,
  52995. "ts": 1539815912099124,
  52996. "id": 65
  52997. },
  52998. {
  52999. "ph": "t",
  53000. "cat": "DataFlow",
  53001. "name": "training/TFOptimizer/Adam/learning_rate",
  53002. "pid": 19,
  53003. "tid": 0,
  53004. "ts": 1539815917569546,
  53005. "id": 65
  53006. },
  53007. {
  53008. "ph": "s",
  53009. "cat": "DataFlow",
  53010. "name": "training/TFOptimizer/Adam/beta1",
  53011. "pid": 41,
  53012. "tid": 0,
  53013. "ts": 1539815912099133,
  53014. "id": 66
  53015. },
  53016. {
  53017. "ph": "t",
  53018. "cat": "DataFlow",
  53019. "name": "training/TFOptimizer/Adam/beta1",
  53020. "pid": 19,
  53021. "tid": 0,
  53022. "ts": 1539815917569546,
  53023. "id": 66
  53024. },
  53025. {
  53026. "ph": "s",
  53027. "cat": "DataFlow",
  53028. "name": "training/TFOptimizer/Adam/beta2",
  53029. "pid": 41,
  53030. "tid": 0,
  53031. "ts": 1539815912099143,
  53032. "id": 67
  53033. },
  53034. {
  53035. "ph": "t",
  53036. "cat": "DataFlow",
  53037. "name": "training/TFOptimizer/Adam/beta2",
  53038. "pid": 19,
  53039. "tid": 0,
  53040. "ts": 1539815917569546,
  53041. "id": 67
  53042. },
  53043. {
  53044. "ph": "s",
  53045. "cat": "DataFlow",
  53046. "name": "training/TFOptimizer/Adam/epsilon",
  53047. "pid": 41,
  53048. "tid": 0,
  53049. "ts": 1539815912099150,
  53050. "id": 68
  53051. },
  53052. {
  53053. "ph": "t",
  53054. "cat": "DataFlow",
  53055. "name": "training/TFOptimizer/Adam/epsilon",
  53056. "pid": 19,
  53057. "tid": 0,
  53058. "ts": 1539815917569546,
  53059. "id": 68
  53060. },
  53061. {
  53062. "ph": "X",
  53063. "cat": "Op",
  53064. "name": "ResourceApplyAdam",
  53065. "pid": 19,
  53066. "tid": 0,
  53067. "ts": 1539815917569722,
  53068. "dur": 98,
  53069. "args": {
  53070. "name": "training/TFOptimizer/Adam/update_3_7/update_conv2d_1/bias/replica_3/ResourceApplyAdam",
  53071. "op": "ResourceApplyAdam",
  53072. "input0": "conv2d_1/bias/replica_3",
  53073. "input1": "conv2d_1/bias/Adam/replica_3",
  53074. "input2": "conv2d_1/bias/Adam_1/replica_3",
  53075. "input3": "training/TFOptimizer/Adam/update_3_7/update_conv2d_1/bias/replica_3/ResourceApplyAdam/ReadVariableOp",
  53076. "input4": "training/TFOptimizer/Adam/update_3_7/update_conv2d_1/bias/replica_3/ResourceApplyAdam/ReadVariableOp_1",
  53077. "input5": "training/TFOptimizer/Adam/learning_rate/_1411",
  53078. "input6": "training/TFOptimizer/Adam/beta1/_1413",
  53079. "input7": "training/TFOptimizer/Adam/beta2/_1415",
  53080. "input8": "training/TFOptimizer/Adam/epsilon/_1417",
  53081. "input9": "training/TFOptimizer/split_7:7"
  53082. }
  53083. },
  53084. {
  53085. "ph": "s",
  53086. "cat": "DataFlow",
  53087. "name": "training/TFOptimizer/Adam/learning_rate",
  53088. "pid": 41,
  53089. "tid": 0,
  53090. "ts": 1539815912099124,
  53091. "id": 69
  53092. },
  53093. {
  53094. "ph": "t",
  53095. "cat": "DataFlow",
  53096. "name": "training/TFOptimizer/Adam/learning_rate",
  53097. "pid": 19,
  53098. "tid": 0,
  53099. "ts": 1539815917569722,
  53100. "id": 69
  53101. },
  53102. {
  53103. "ph": "s",
  53104. "cat": "DataFlow",
  53105. "name": "training/TFOptimizer/Adam/beta1",
  53106. "pid": 41,
  53107. "tid": 0,
  53108. "ts": 1539815912099133,
  53109. "id": 70
  53110. },
  53111. {
  53112. "ph": "t",
  53113. "cat": "DataFlow",
  53114. "name": "training/TFOptimizer/Adam/beta1",
  53115. "pid": 19,
  53116. "tid": 0,
  53117. "ts": 1539815917569722,
  53118. "id": 70
  53119. },
  53120. {
  53121. "ph": "s",
  53122. "cat": "DataFlow",
  53123. "name": "training/TFOptimizer/Adam/beta2",
  53124. "pid": 41,
  53125. "tid": 0,
  53126. "ts": 1539815912099143,
  53127. "id": 71
  53128. },
  53129. {
  53130. "ph": "t",
  53131. "cat": "DataFlow",
  53132. "name": "training/TFOptimizer/Adam/beta2",
  53133. "pid": 19,
  53134. "tid": 0,
  53135. "ts": 1539815917569722,
  53136. "id": 71
  53137. },
  53138. {
  53139. "ph": "s",
  53140. "cat": "DataFlow",
  53141. "name": "training/TFOptimizer/Adam/epsilon",
  53142. "pid": 41,
  53143. "tid": 0,
  53144. "ts": 1539815912099150,
  53145. "id": 72
  53146. },
  53147. {
  53148. "ph": "t",
  53149. "cat": "DataFlow",
  53150. "name": "training/TFOptimizer/Adam/epsilon",
  53151. "pid": 19,
  53152. "tid": 0,
  53153. "ts": 1539815917569722,
  53154. "id": 72
  53155. },
  53156. {
  53157. "ph": "X",
  53158. "cat": "Op",
  53159. "name": "ResourceApplyAdam",
  53160. "pid": 19,
  53161. "tid": 0,
  53162. "ts": 1539815917569825,
  53163. "dur": 93,
  53164. "args": {
  53165. "name": "training/TFOptimizer/Adam/update_3_8/update_batch_normalization_2/gamma/replica_3/ResourceApplyAdam",
  53166. "op": "ResourceApplyAdam",
  53167. "input0": "batch_normalization_2/gamma/replica_3",
  53168. "input1": "batch_normalization_2/gamma/Adam/replica_3",
  53169. "input2": "batch_normalization_2/gamma/Adam_1/replica_3",
  53170. "input3": "training/TFOptimizer/Adam/update_3_8/update_batch_normalization_2/gamma/replica_3/ResourceApplyAdam/ReadVariableOp",
  53171. "input4": "training/TFOptimizer/Adam/update_3_8/update_batch_normalization_2/gamma/replica_3/ResourceApplyAdam/ReadVariableOp_1",
  53172. "input5": "training/TFOptimizer/Adam/learning_rate/_1411",
  53173. "input6": "training/TFOptimizer/Adam/beta1/_1413",
  53174. "input7": "training/TFOptimizer/Adam/beta2/_1415",
  53175. "input8": "training/TFOptimizer/Adam/epsilon/_1417",
  53176. "input9": "training/TFOptimizer/split_7:8"
  53177. }
  53178. },
  53179. {
  53180. "ph": "s",
  53181. "cat": "DataFlow",
  53182. "name": "training/TFOptimizer/Adam/learning_rate",
  53183. "pid": 41,
  53184. "tid": 0,
  53185. "ts": 1539815912099124,
  53186. "id": 73
  53187. },
  53188. {
  53189. "ph": "t",
  53190. "cat": "DataFlow",
  53191. "name": "training/TFOptimizer/Adam/learning_rate",
  53192. "pid": 19,
  53193. "tid": 0,
  53194. "ts": 1539815917569825,
  53195. "id": 73
  53196. },
  53197. {
  53198. "ph": "s",
  53199. "cat": "DataFlow",
  53200. "name": "training/TFOptimizer/Adam/beta1",
  53201. "pid": 41,
  53202. "tid": 0,
  53203. "ts": 1539815912099133,
  53204. "id": 74
  53205. },
  53206. {
  53207. "ph": "t",
  53208. "cat": "DataFlow",
  53209. "name": "training/TFOptimizer/Adam/beta1",
  53210. "pid": 19,
  53211. "tid": 0,
  53212. "ts": 1539815917569825,
  53213. "id": 74
  53214. },
  53215. {
  53216. "ph": "s",
  53217. "cat": "DataFlow",
  53218. "name": "training/TFOptimizer/Adam/beta2",
  53219. "pid": 41,
  53220. "tid": 0,
  53221. "ts": 1539815912099143,
  53222. "id": 75
  53223. },
  53224. {
  53225. "ph": "t",
  53226. "cat": "DataFlow",
  53227. "name": "training/TFOptimizer/Adam/beta2",
  53228. "pid": 19,
  53229. "tid": 0,
  53230. "ts": 1539815917569825,
  53231. "id": 75
  53232. },
  53233. {
  53234. "ph": "s",
  53235. "cat": "DataFlow",
  53236. "name": "training/TFOptimizer/Adam/epsilon",
  53237. "pid": 41,
  53238. "tid": 0,
  53239. "ts": 1539815912099150,
  53240. "id": 76
  53241. },
  53242. {
  53243. "ph": "t",
  53244. "cat": "DataFlow",
  53245. "name": "training/TFOptimizer/Adam/epsilon",
  53246. "pid": 19,
  53247. "tid": 0,
  53248. "ts": 1539815917569825,
  53249. "id": 76
  53250. },
  53251. {
  53252. "ph": "X",
  53253. "cat": "Op",
  53254. "name": "ResourceApplyAdam",
  53255. "pid": 19,
  53256. "tid": 0,
  53257. "ts": 1539815917569928,
  53258. "dur": 160,
  53259. "args": {
  53260. "name": "training/TFOptimizer/Adam/update_3_10/update_conv2d_2/kernel/replica_3/ResourceApplyAdam",
  53261. "op": "ResourceApplyAdam",
  53262. "input0": "conv2d_2/kernel/replica_3",
  53263. "input1": "conv2d_2/kernel/Adam/replica_3",
  53264. "input2": "conv2d_2/kernel/Adam_1/replica_3",
  53265. "input3": "training/TFOptimizer/Adam/update_3_10/update_conv2d_2/kernel/replica_3/ResourceApplyAdam/ReadVariableOp",
  53266. "input4": "training/TFOptimizer/Adam/update_3_10/update_conv2d_2/kernel/replica_3/ResourceApplyAdam/ReadVariableOp_1",
  53267. "input5": "training/TFOptimizer/Adam/learning_rate/_1411",
  53268. "input6": "training/TFOptimizer/Adam/beta1/_1413",
  53269. "input7": "training/TFOptimizer/Adam/beta2/_1415",
  53270. "input8": "training/TFOptimizer/Adam/epsilon/_1417",
  53271. "input9": "training/TFOptimizer/Reshape_122"
  53272. }
  53273. },
  53274. {
  53275. "ph": "s",
  53276. "cat": "DataFlow",
  53277. "name": "training/TFOptimizer/Adam/learning_rate",
  53278. "pid": 41,
  53279. "tid": 0,
  53280. "ts": 1539815912099124,
  53281. "id": 77
  53282. },
  53283. {
  53284. "ph": "t",
  53285. "cat": "DataFlow",
  53286. "name": "training/TFOptimizer/Adam/learning_rate",
  53287. "pid": 19,
  53288. "tid": 0,
  53289. "ts": 1539815917569928,
  53290. "id": 77
  53291. },
  53292. {
  53293. "ph": "s",
  53294. "cat": "DataFlow",
  53295. "name": "training/TFOptimizer/Adam/beta1",
  53296. "pid": 41,
  53297. "tid": 0,
  53298. "ts": 1539815912099133,
  53299. "id": 78
  53300. },
  53301. {
  53302. "ph": "t",
  53303. "cat": "DataFlow",
  53304. "name": "training/TFOptimizer/Adam/beta1",
  53305. "pid": 19,
  53306. "tid": 0,
  53307. "ts": 1539815917569928,
  53308. "id": 78
  53309. },
  53310. {
  53311. "ph": "s",
  53312. "cat": "DataFlow",
  53313. "name": "training/TFOptimizer/Adam/beta2",
  53314. "pid": 41,
  53315. "tid": 0,
  53316. "ts": 1539815912099143,
  53317. "id": 79
  53318. },
  53319. {
  53320. "ph": "t",
  53321. "cat": "DataFlow",
  53322. "name": "training/TFOptimizer/Adam/beta2",
  53323. "pid": 19,
  53324. "tid": 0,
  53325. "ts": 1539815917569928,
  53326. "id": 79
  53327. },
  53328. {
  53329. "ph": "s",
  53330. "cat": "DataFlow",
  53331. "name": "training/TFOptimizer/Adam/epsilon",
  53332. "pid": 41,
  53333. "tid": 0,
  53334. "ts": 1539815912099150,
  53335. "id": 80
  53336. },
  53337. {
  53338. "ph": "t",
  53339. "cat": "DataFlow",
  53340. "name": "training/TFOptimizer/Adam/epsilon",
  53341. "pid": 19,
  53342. "tid": 0,
  53343. "ts": 1539815917569928,
  53344. "id": 80
  53345. },
  53346. {
  53347. "ph": "X",
  53348. "cat": "Op",
  53349. "name": "ResourceApplyAdam",
  53350. "pid": 19,
  53351. "tid": 0,
  53352. "ts": 1539815917570103,
  53353. "dur": 125,
  53354. "args": {
  53355. "name": "training/TFOptimizer/Adam/update_3_12/update_dense/kernel/replica_3/ResourceApplyAdam",
  53356. "op": "ResourceApplyAdam",
  53357. "input0": "dense/kernel/replica_3",
  53358. "input1": "dense/kernel/Adam/replica_3",
  53359. "input2": "dense/kernel/Adam_1/replica_3",
  53360. "input3": "training/TFOptimizer/Adam/update_3_12/update_dense/kernel/replica_3/ResourceApplyAdam/ReadVariableOp",
  53361. "input4": "training/TFOptimizer/Adam/update_3_12/update_dense/kernel/replica_3/ResourceApplyAdam/ReadVariableOp_1",
  53362. "input5": "training/TFOptimizer/Adam/learning_rate/_1411",
  53363. "input6": "training/TFOptimizer/Adam/beta1/_1413",
  53364. "input7": "training/TFOptimizer/Adam/beta2/_1415",
  53365. "input8": "training/TFOptimizer/Adam/epsilon/_1417",
  53366. "input9": "training/TFOptimizer/Reshape_124"
  53367. }
  53368. },
  53369. {
  53370. "ph": "s",
  53371. "cat": "DataFlow",
  53372. "name": "training/TFOptimizer/Adam/learning_rate",
  53373. "pid": 41,
  53374. "tid": 0,
  53375. "ts": 1539815912099124,
  53376. "id": 81
  53377. },
  53378. {
  53379. "ph": "t",
  53380. "cat": "DataFlow",
  53381. "name": "training/TFOptimizer/Adam/learning_rate",
  53382. "pid": 19,
  53383. "tid": 0,
  53384. "ts": 1539815917570103,
  53385. "id": 81
  53386. },
  53387. {
  53388. "ph": "s",
  53389. "cat": "DataFlow",
  53390. "name": "training/TFOptimizer/Adam/beta1",
  53391. "pid": 41,
  53392. "tid": 0,
  53393. "ts": 1539815912099133,
  53394. "id": 82
  53395. },
  53396. {
  53397. "ph": "t",
  53398. "cat": "DataFlow",
  53399. "name": "training/TFOptimizer/Adam/beta1",
  53400. "pid": 19,
  53401. "tid": 0,
  53402. "ts": 1539815917570103,
  53403. "id": 82
  53404. },
  53405. {
  53406. "ph": "s",
  53407. "cat": "DataFlow",
  53408. "name": "training/TFOptimizer/Adam/beta2",
  53409. "pid": 41,
  53410. "tid": 0,
  53411. "ts": 1539815912099143,
  53412. "id": 83
  53413. },
  53414. {
  53415. "ph": "t",
  53416. "cat": "DataFlow",
  53417. "name": "training/TFOptimizer/Adam/beta2",
  53418. "pid": 19,
  53419. "tid": 0,
  53420. "ts": 1539815917570103,
  53421. "id": 83
  53422. },
  53423. {
  53424. "ph": "s",
  53425. "cat": "DataFlow",
  53426. "name": "training/TFOptimizer/Adam/epsilon",
  53427. "pid": 41,
  53428. "tid": 0,
  53429. "ts": 1539815912099150,
  53430. "id": 84
  53431. },
  53432. {
  53433. "ph": "t",
  53434. "cat": "DataFlow",
  53435. "name": "training/TFOptimizer/Adam/epsilon",
  53436. "pid": 19,
  53437. "tid": 0,
  53438. "ts": 1539815917570103,
  53439. "id": 84
  53440. },
  53441. {
  53442. "ph": "X",
  53443. "cat": "Op",
  53444. "name": "ResourceApplyAdam",
  53445. "pid": 19,
  53446. "tid": 0,
  53447. "ts": 1539815917570237,
  53448. "dur": 104,
  53449. "args": {
  53450. "name": "training/TFOptimizer/Adam/update_3_14/update_dense_1/kernel/replica_3/ResourceApplyAdam",
  53451. "op": "ResourceApplyAdam",
  53452. "input0": "dense_1/kernel/replica_3",
  53453. "input1": "dense_1/kernel/Adam/replica_3",
  53454. "input2": "dense_1/kernel/Adam_1/replica_3",
  53455. "input3": "training/TFOptimizer/Adam/update_3_14/update_dense_1/kernel/replica_3/ResourceApplyAdam/ReadVariableOp",
  53456. "input4": "training/TFOptimizer/Adam/update_3_14/update_dense_1/kernel/replica_3/ResourceApplyAdam/ReadVariableOp_1",
  53457. "input5": "training/TFOptimizer/Adam/learning_rate/_1411",
  53458. "input6": "training/TFOptimizer/Adam/beta1/_1413",
  53459. "input7": "training/TFOptimizer/Adam/beta2/_1415",
  53460. "input8": "training/TFOptimizer/Adam/epsilon/_1417",
  53461. "input9": "training/TFOptimizer/Reshape_126"
  53462. }
  53463. },
  53464. {
  53465. "ph": "s",
  53466. "cat": "DataFlow",
  53467. "name": "training/TFOptimizer/Adam/learning_rate",
  53468. "pid": 41,
  53469. "tid": 0,
  53470. "ts": 1539815912099124,
  53471. "id": 85
  53472. },
  53473. {
  53474. "ph": "t",
  53475. "cat": "DataFlow",
  53476. "name": "training/TFOptimizer/Adam/learning_rate",
  53477. "pid": 19,
  53478. "tid": 0,
  53479. "ts": 1539815917570237,
  53480. "id": 85
  53481. },
  53482. {
  53483. "ph": "s",
  53484. "cat": "DataFlow",
  53485. "name": "training/TFOptimizer/Adam/beta1",
  53486. "pid": 41,
  53487. "tid": 0,
  53488. "ts": 1539815912099133,
  53489. "id": 86
  53490. },
  53491. {
  53492. "ph": "t",
  53493. "cat": "DataFlow",
  53494. "name": "training/TFOptimizer/Adam/beta1",
  53495. "pid": 19,
  53496. "tid": 0,
  53497. "ts": 1539815917570237,
  53498. "id": 86
  53499. },
  53500. {
  53501. "ph": "s",
  53502. "cat": "DataFlow",
  53503. "name": "training/TFOptimizer/Adam/beta2",
  53504. "pid": 41,
  53505. "tid": 0,
  53506. "ts": 1539815912099143,
  53507. "id": 87
  53508. },
  53509. {
  53510. "ph": "t",
  53511. "cat": "DataFlow",
  53512. "name": "training/TFOptimizer/Adam/beta2",
  53513. "pid": 19,
  53514. "tid": 0,
  53515. "ts": 1539815917570237,
  53516. "id": 87
  53517. },
  53518. {
  53519. "ph": "s",
  53520. "cat": "DataFlow",
  53521. "name": "training/TFOptimizer/Adam/epsilon",
  53522. "pid": 41,
  53523. "tid": 0,
  53524. "ts": 1539815912099150,
  53525. "id": 88
  53526. },
  53527. {
  53528. "ph": "t",
  53529. "cat": "DataFlow",
  53530. "name": "training/TFOptimizer/Adam/epsilon",
  53531. "pid": 19,
  53532. "tid": 0,
  53533. "ts": 1539815917570237,
  53534. "id": 88
  53535. },
  53536. {
  53537. "ph": "X",
  53538. "cat": "Op",
  53539. "name": "ResourceApplyAdam",
  53540. "pid": 19,
  53541. "tid": 0,
  53542. "ts": 1539815917570349,
  53543. "dur": 127,
  53544. "args": {
  53545. "name": "training/TFOptimizer/Adam/update_3_2/update_conv2d/kernel/replica_3/ResourceApplyAdam",
  53546. "op": "ResourceApplyAdam",
  53547. "input0": "conv2d/kernel/replica_3",
  53548. "input1": "conv2d/kernel/Adam/replica_3",
  53549. "input2": "conv2d/kernel/Adam_1/replica_3",
  53550. "input3": "training/TFOptimizer/Adam/update_3_2/update_conv2d/kernel/replica_3/ResourceApplyAdam/ReadVariableOp",
  53551. "input4": "training/TFOptimizer/Adam/update_3_2/update_conv2d/kernel/replica_3/ResourceApplyAdam/ReadVariableOp_1",
  53552. "input5": "training/TFOptimizer/Adam/learning_rate/_1411",
  53553. "input6": "training/TFOptimizer/Adam/beta1/_1413",
  53554. "input7": "training/TFOptimizer/Adam/beta2/_1415",
  53555. "input8": "training/TFOptimizer/Adam/epsilon/_1417",
  53556. "input9": "training/TFOptimizer/Reshape_114"
  53557. }
  53558. },
  53559. {
  53560. "ph": "s",
  53561. "cat": "DataFlow",
  53562. "name": "training/TFOptimizer/Adam/learning_rate",
  53563. "pid": 41,
  53564. "tid": 0,
  53565. "ts": 1539815912099124,
  53566. "id": 89
  53567. },
  53568. {
  53569. "ph": "t",
  53570. "cat": "DataFlow",
  53571. "name": "training/TFOptimizer/Adam/learning_rate",
  53572. "pid": 19,
  53573. "tid": 0,
  53574. "ts": 1539815917570349,
  53575. "id": 89
  53576. },
  53577. {
  53578. "ph": "s",
  53579. "cat": "DataFlow",
  53580. "name": "training/TFOptimizer/Adam/beta1",
  53581. "pid": 41,
  53582. "tid": 0,
  53583. "ts": 1539815912099133,
  53584. "id": 90
  53585. },
  53586. {
  53587. "ph": "t",
  53588. "cat": "DataFlow",
  53589. "name": "training/TFOptimizer/Adam/beta1",
  53590. "pid": 19,
  53591. "tid": 0,
  53592. "ts": 1539815917570349,
  53593. "id": 90
  53594. },
  53595. {
  53596. "ph": "s",
  53597. "cat": "DataFlow",
  53598. "name": "training/TFOptimizer/Adam/beta2",
  53599. "pid": 41,
  53600. "tid": 0,
  53601. "ts": 1539815912099143,
  53602. "id": 91
  53603. },
  53604. {
  53605. "ph": "t",
  53606. "cat": "DataFlow",
  53607. "name": "training/TFOptimizer/Adam/beta2",
  53608. "pid": 19,
  53609. "tid": 0,
  53610. "ts": 1539815917570349,
  53611. "id": 91
  53612. },
  53613. {
  53614. "ph": "s",
  53615. "cat": "DataFlow",
  53616. "name": "training/TFOptimizer/Adam/epsilon",
  53617. "pid": 41,
  53618. "tid": 0,
  53619. "ts": 1539815912099150,
  53620. "id": 92
  53621. },
  53622. {
  53623. "ph": "t",
  53624. "cat": "DataFlow",
  53625. "name": "training/TFOptimizer/Adam/epsilon",
  53626. "pid": 19,
  53627. "tid": 0,
  53628. "ts": 1539815917570349,
  53629. "id": 92
  53630. },
  53631. {
  53632. "ph": "X",
  53633. "cat": "Op",
  53634. "name": "ResourceApplyAdam",
  53635. "pid": 19,
  53636. "tid": 0,
  53637. "ts": 1539815917570488,
  53638. "dur": 92,
  53639. "args": {
  53640. "name": "training/TFOptimizer/Adam/update_3_6/update_conv2d_1/kernel/replica_3/ResourceApplyAdam",
  53641. "op": "ResourceApplyAdam",
  53642. "input0": "conv2d_1/kernel/replica_3",
  53643. "input1": "conv2d_1/kernel/Adam/replica_3",
  53644. "input2": "conv2d_1/kernel/Adam_1/replica_3",
  53645. "input3": "training/TFOptimizer/Adam/update_3_6/update_conv2d_1/kernel/replica_3/ResourceApplyAdam/ReadVariableOp",
  53646. "input4": "training/TFOptimizer/Adam/update_3_6/update_conv2d_1/kernel/replica_3/ResourceApplyAdam/ReadVariableOp_1",
  53647. "input5": "training/TFOptimizer/Adam/learning_rate/_1411",
  53648. "input6": "training/TFOptimizer/Adam/beta1/_1413",
  53649. "input7": "training/TFOptimizer/Adam/beta2/_1415",
  53650. "input8": "training/TFOptimizer/Adam/epsilon/_1417",
  53651. "input9": "training/TFOptimizer/Reshape_118"
  53652. }
  53653. },
  53654. {
  53655. "ph": "s",
  53656. "cat": "DataFlow",
  53657. "name": "training/TFOptimizer/Adam/learning_rate",
  53658. "pid": 41,
  53659. "tid": 0,
  53660. "ts": 1539815912099124,
  53661. "id": 93
  53662. },
  53663. {
  53664. "ph": "t",
  53665. "cat": "DataFlow",
  53666. "name": "training/TFOptimizer/Adam/learning_rate",
  53667. "pid": 19,
  53668. "tid": 0,
  53669. "ts": 1539815917570488,
  53670. "id": 93
  53671. },
  53672. {
  53673. "ph": "s",
  53674. "cat": "DataFlow",
  53675. "name": "training/TFOptimizer/Adam/beta1",
  53676. "pid": 41,
  53677. "tid": 0,
  53678. "ts": 1539815912099133,
  53679. "id": 94
  53680. },
  53681. {
  53682. "ph": "t",
  53683. "cat": "DataFlow",
  53684. "name": "training/TFOptimizer/Adam/beta1",
  53685. "pid": 19,
  53686. "tid": 0,
  53687. "ts": 1539815917570488,
  53688. "id": 94
  53689. },
  53690. {
  53691. "ph": "s",
  53692. "cat": "DataFlow",
  53693. "name": "training/TFOptimizer/Adam/beta2",
  53694. "pid": 41,
  53695. "tid": 0,
  53696. "ts": 1539815912099143,
  53697. "id": 95
  53698. },
  53699. {
  53700. "ph": "t",
  53701. "cat": "DataFlow",
  53702. "name": "training/TFOptimizer/Adam/beta2",
  53703. "pid": 19,
  53704. "tid": 0,
  53705. "ts": 1539815917570488,
  53706. "id": 95
  53707. },
  53708. {
  53709. "ph": "s",
  53710. "cat": "DataFlow",
  53711. "name": "training/TFOptimizer/Adam/epsilon",
  53712. "pid": 41,
  53713. "tid": 0,
  53714. "ts": 1539815912099150,
  53715. "id": 96
  53716. },
  53717. {
  53718. "ph": "t",
  53719. "cat": "DataFlow",
  53720. "name": "training/TFOptimizer/Adam/epsilon",
  53721. "pid": 19,
  53722. "tid": 0,
  53723. "ts": 1539815917570488,
  53724. "id": 96
  53725. },
  53726. {
  53727. "ph": "X",
  53728. "cat": "Op",
  53729. "name": "Identity",
  53730. "pid": 19,
  53731. "tid": 0,
  53732. "ts": 1539815917570591,
  53733. "dur": 10,
  53734. "args": {
  53735. "name": "GroupCrossDeviceControlEdges_2/training/TFOptimizer/Adam/update_3_16/ReadVariableOp/_1469",
  53736. "op": "Identity",
  53737. "input0": "GroupCrossDeviceControlEdges_2/training/TFOptimizer/Adam/update_3_16/ReadVariableOp/_1468"
  53738. }
  53739. },
  53740. {
  53741. "ph": "X",
  53742. "cat": "Op",
  53743. "name": "Identity",
  53744. "pid": 19,
  53745. "tid": 1,
  53746. "ts": 1539815917570595,
  53747. "dur": 7,
  53748. "args": {
  53749. "name": "GroupCrossDeviceControlEdges_1/training/TFOptimizer/Adam/update_3_16/ReadVariableOp_2/_1477",
  53750. "op": "Identity",
  53751. "input0": "GroupCrossDeviceControlEdges_1/training/TFOptimizer/Adam/update_3_16/ReadVariableOp_2/_1476"
  53752. }
  53753. },
  53754. {
  53755. "ph": "X",
  53756. "cat": "Op",
  53757. "name": "NoOp",
  53758. "pid": 19,
  53759. "tid": 2,
  53760. "ts": 1539815917570589,
  53761. "dur": 6,
  53762. "args": {
  53763. "name": "training/TFOptimizer/Adam/update_0_16/update/NoOp_3",
  53764. "op": "NoOp",
  53765. "input0": "^training/TFOptimizer/Adam/update_3/update_batch_normalization/gamma/replica_3/ResourceApplyAdam",
  53766. "input1": "^training/TFOptimizer/Adam/update_3_1/update_batch_normalization/beta/replica_3/ResourceApplyAdam",
  53767. "input2": "^training/TFOptimizer/Adam/update_3_10/update_conv2d_2/kernel/replica_3/ResourceApplyAdam",
  53768. "input3": "^training/TFOptimizer/Adam/update_3_11/update_conv2d_2/bias/replica_3/ResourceApplyAdam",
  53769. "input4": "^training/TFOptimizer/Adam/update_3_12/update_dense/kernel/replica_3/ResourceApplyAdam",
  53770. "input5": "^training/TFOptimizer/Adam/update_3_13/update_dense/bias/replica_3/ResourceApplyAdam",
  53771. "input6": "^training/TFOptimizer/Adam/update_3_14/update_dense_1/kernel/replica_3/ResourceApplyAdam",
  53772. "input7": "^training/TFOptimizer/Adam/update_3_15/update_dense_1/bias/replica_3/ResourceApplyAdam",
  53773. "input8": "^training/TFOptimizer/Adam/update_3_2/update_conv2d/kernel/replica_3/ResourceApplyAdam",
  53774. "input9": "^training/TFOptimizer/Adam/update_3_3/update_conv2d/bias/replica_3/ResourceApplyAdam",
  53775. "input10": "^training/TFOptimizer/Adam/update_3_4/update_batch_normalization_1/gamma/replica_3/ResourceApplyAdam",
  53776. "input11": "^training/TFOptimizer/Adam/update_3_5/update_batch_normalization_1/beta/replica_3/ResourceApplyAdam",
  53777. "input12": "^training/TFOptimizer/Adam/update_3_6/update_conv2d_1/kernel/replica_3/ResourceApplyAdam",
  53778. "input13": "^training/TFOptimizer/Adam/update_3_7/update_conv2d_1/bias/replica_3/ResourceApplyAdam",
  53779. "input14": "^training/TFOptimizer/Adam/update_3_8/update_batch_normalization_2/gamma/replica_3/ResourceApplyAdam",
  53780. "input15": "^training/TFOptimizer/Adam/update_3_9/update_batch_normalization_2/beta/replica_3/ResourceApplyAdam"
  53781. }
  53782. },
  53783. {
  53784. "ph": "X",
  53785. "cat": "Op",
  53786. "name": "Identity",
  53787. "pid": 19,
  53788. "tid": 0,
  53789. "ts": 1539815917570605,
  53790. "dur": 6,
  53791. "args": {
  53792. "name": "GroupCrossDeviceControlEdges_2/training/TFOptimizer/Adam/update_3_16/ReadVariableOp_2/_1481",
  53793. "op": "Identity",
  53794. "input0": "GroupCrossDeviceControlEdges_2/training/TFOptimizer/Adam/update_3_16/ReadVariableOp_2/_1480"
  53795. }
  53796. },
  53797. {
  53798. "ph": "X",
  53799. "cat": "Op",
  53800. "name": "NoOp",
  53801. "pid": 19,
  53802. "tid": 1,
  53803. "ts": 1539815917570606,
  53804. "dur": 4,
  53805. "args": {
  53806. "name": "GroupCrossDeviceControlEdges_2/training/TFOptimizer/Adam/update_2_16/ReadVariableOp_2",
  53807. "op": "NoOp",
  53808. "input0": "^training/TFOptimizer/Adam/update_3_9/update_batch_normalization_2/beta/replica_3/ResourceApplyAdam",
  53809. "input1": "^training/TFOptimizer/Adam/update_3_8/update_batch_normalization_2/gamma/replica_3/ResourceApplyAdam",
  53810. "input2": "^training/TFOptimizer/Adam/update_3_7/update_conv2d_1/bias/replica_3/ResourceApplyAdam",
  53811. "input3": "^training/TFOptimizer/Adam/update_3_6/update_conv2d_1/kernel/replica_3/ResourceApplyAdam",
  53812. "input4": "^training/TFOptimizer/Adam/update_3_5/update_batch_normalization_1/beta/replica_3/ResourceApplyAdam",
  53813. "input5": "^training/TFOptimizer/Adam/update_3_4/update_batch_normalization_1/gamma/replica_3/ResourceApplyAdam",
  53814. "input6": "^training/TFOptimizer/Adam/update_3_3/update_conv2d/bias/replica_3/ResourceApplyAdam",
  53815. "input7": "^training/TFOptimizer/Adam/update_3_2/update_conv2d/kernel/replica_3/ResourceApplyAdam",
  53816. "input8": "^training/TFOptimizer/Adam/update_3_15/update_dense_1/bias/replica_3/ResourceApplyAdam",
  53817. "input9": "^training/TFOptimizer/Adam/update_3_14/update_dense_1/kernel/replica_3/ResourceApplyAdam",
  53818. "input10": "^training/TFOptimizer/Adam/update_3_13/update_dense/bias/replica_3/ResourceApplyAdam",
  53819. "input11": "^training/TFOptimizer/Adam/update_3_12/update_dense/kernel/replica_3/ResourceApplyAdam",
  53820. "input12": "^training/TFOptimizer/Adam/update_3_11/update_conv2d_2/bias/replica_3/ResourceApplyAdam",
  53821. "input13": "^training/TFOptimizer/Adam/update_3_10/update_conv2d_2/kernel/replica_3/ResourceApplyAdam",
  53822. "input14": "^training/TFOptimizer/Adam/update_3_1/update_batch_normalization/beta/replica_3/ResourceApplyAdam",
  53823. "input15": "^training/TFOptimizer/Adam/update_3/update_batch_normalization/gamma/replica_3/ResourceApplyAdam"
  53824. }
  53825. },
  53826. {
  53827. "ph": "X",
  53828. "cat": "Op",
  53829. "name": "Identity",
  53830. "pid": 19,
  53831. "tid": 2,
  53832. "ts": 1539815917570600,
  53833. "dur": 19,
  53834. "args": {
  53835. "name": "GroupCrossDeviceControlEdges_1/training/TFOptimizer/Adam/update_3_16/ReadVariableOp/_1465",
  53836. "op": "Identity",
  53837. "input0": "GroupCrossDeviceControlEdges_1/training/TFOptimizer/Adam/update_3_16/ReadVariableOp/_1464"
  53838. }
  53839. },
  53840. {
  53841. "ph": "X",
  53842. "cat": "Op",
  53843. "name": "NoOp",
  53844. "pid": 19,
  53845. "tid": 0,
  53846. "ts": 1539815917570623,
  53847. "dur": 5,
  53848. "args": {
  53849. "name": "GroupCrossDeviceControlEdges_2/training/TFOptimizer/Adam/update_0_16/ReadVariableOp",
  53850. "op": "NoOp",
  53851. "input0": "^training/TFOptimizer/Adam/update_3_9/update_batch_normalization_2/beta/replica_3/ResourceApplyAdam",
  53852. "input1": "^training/TFOptimizer/Adam/update_3_8/update_batch_normalization_2/gamma/replica_3/ResourceApplyAdam",
  53853. "input2": "^training/TFOptimizer/Adam/update_3_7/update_conv2d_1/bias/replica_3/ResourceApplyAdam",
  53854. "input3": "^training/TFOptimizer/Adam/update_3_6/update_conv2d_1/kernel/replica_3/ResourceApplyAdam",
  53855. "input4": "^training/TFOptimizer/Adam/update_3_5/update_batch_normalization_1/beta/replica_3/ResourceApplyAdam",
  53856. "input5": "^training/TFOptimizer/Adam/update_3_4/update_batch_normalization_1/gamma/replica_3/ResourceApplyAdam",
  53857. "input6": "^training/TFOptimizer/Adam/update_3_3/update_conv2d/bias/replica_3/ResourceApplyAdam",
  53858. "input7": "^training/TFOptimizer/Adam/update_3_2/update_conv2d/kernel/replica_3/ResourceApplyAdam",
  53859. "input8": "^training/TFOptimizer/Adam/update_3_15/update_dense_1/bias/replica_3/ResourceApplyAdam",
  53860. "input9": "^training/TFOptimizer/Adam/update_3_14/update_dense_1/kernel/replica_3/ResourceApplyAdam",
  53861. "input10": "^training/TFOptimizer/Adam/update_3_13/update_dense/bias/replica_3/ResourceApplyAdam",
  53862. "input11": "^training/TFOptimizer/Adam/update_3_12/update_dense/kernel/replica_3/ResourceApplyAdam",
  53863. "input12": "^training/TFOptimizer/Adam/update_3_11/update_conv2d_2/bias/replica_3/ResourceApplyAdam",
  53864. "input13": "^training/TFOptimizer/Adam/update_3_10/update_conv2d_2/kernel/replica_3/ResourceApplyAdam",
  53865. "input14": "^training/TFOptimizer/Adam/update_3_1/update_batch_normalization/beta/replica_3/ResourceApplyAdam",
  53866. "input15": "^training/TFOptimizer/Adam/update_3/update_batch_normalization/gamma/replica_3/ResourceApplyAdam"
  53867. }
  53868. },
  53869. {
  53870. "ph": "X",
  53871. "cat": "Op",
  53872. "name": "NoOp",
  53873. "pid": 19,
  53874. "tid": 0,
  53875. "ts": 1539815917570636,
  53876. "dur": 4,
  53877. "args": {
  53878. "name": "GroupCrossDeviceControlEdges_2/training/TFOptimizer/Adam/update_0_16/ReadVariableOp_2",
  53879. "op": "NoOp",
  53880. "input0": "^training/TFOptimizer/Adam/update_3_9/update_batch_normalization_2/beta/replica_3/ResourceApplyAdam",
  53881. "input1": "^training/TFOptimizer/Adam/update_3_8/update_batch_normalization_2/gamma/replica_3/ResourceApplyAdam",
  53882. "input2": "^training/TFOptimizer/Adam/update_3_7/update_conv2d_1/bias/replica_3/ResourceApplyAdam",
  53883. "input3": "^training/TFOptimizer/Adam/update_3_6/update_conv2d_1/kernel/replica_3/ResourceApplyAdam",
  53884. "input4": "^training/TFOptimizer/Adam/update_3_5/update_batch_normalization_1/beta/replica_3/ResourceApplyAdam",
  53885. "input5": "^training/TFOptimizer/Adam/update_3_4/update_batch_normalization_1/gamma/replica_3/ResourceApplyAdam",
  53886. "input6": "^training/TFOptimizer/Adam/update_3_3/update_conv2d/bias/replica_3/ResourceApplyAdam",
  53887. "input7": "^training/TFOptimizer/Adam/update_3_2/update_conv2d/kernel/replica_3/ResourceApplyAdam",
  53888. "input8": "^training/TFOptimizer/Adam/update_3_15/update_dense_1/bias/replica_3/ResourceApplyAdam",
  53889. "input9": "^training/TFOptimizer/Adam/update_3_14/update_dense_1/kernel/replica_3/ResourceApplyAdam",
  53890. "input10": "^training/TFOptimizer/Adam/update_3_13/update_dense/bias/replica_3/ResourceApplyAdam",
  53891. "input11": "^training/TFOptimizer/Adam/update_3_12/update_dense/kernel/replica_3/ResourceApplyAdam",
  53892. "input12": "^training/TFOptimizer/Adam/update_3_11/update_conv2d_2/bias/replica_3/ResourceApplyAdam",
  53893. "input13": "^training/TFOptimizer/Adam/update_3_10/update_conv2d_2/kernel/replica_3/ResourceApplyAdam",
  53894. "input14": "^training/TFOptimizer/Adam/update_3_1/update_batch_normalization/beta/replica_3/ResourceApplyAdam",
  53895. "input15": "^training/TFOptimizer/Adam/update_3/update_batch_normalization/gamma/replica_3/ResourceApplyAdam"
  53896. }
  53897. },
  53898. {
  53899. "ph": "X",
  53900. "cat": "Op",
  53901. "name": "NoOp",
  53902. "pid": 19,
  53903. "tid": 0,
  53904. "ts": 1539815917570649,
  53905. "dur": 3,
  53906. "args": {
  53907. "name": "GroupCrossDeviceControlEdges_2/training/TFOptimizer/Adam/update_1_16/ReadVariableOp",
  53908. "op": "NoOp",
  53909. "input0": "^training/TFOptimizer/Adam/update_3_9/update_batch_normalization_2/beta/replica_3/ResourceApplyAdam",
  53910. "input1": "^training/TFOptimizer/Adam/update_3_8/update_batch_normalization_2/gamma/replica_3/ResourceApplyAdam",
  53911. "input2": "^training/TFOptimizer/Adam/update_3_7/update_conv2d_1/bias/replica_3/ResourceApplyAdam",
  53912. "input3": "^training/TFOptimizer/Adam/update_3_6/update_conv2d_1/kernel/replica_3/ResourceApplyAdam",
  53913. "input4": "^training/TFOptimizer/Adam/update_3_5/update_batch_normalization_1/beta/replica_3/ResourceApplyAdam",
  53914. "input5": "^training/TFOptimizer/Adam/update_3_4/update_batch_normalization_1/gamma/replica_3/ResourceApplyAdam",
  53915. "input6": "^training/TFOptimizer/Adam/update_3_3/update_conv2d/bias/replica_3/ResourceApplyAdam",
  53916. "input7": "^training/TFOptimizer/Adam/update_3_2/update_conv2d/kernel/replica_3/ResourceApplyAdam",
  53917. "input8": "^training/TFOptimizer/Adam/update_3_15/update_dense_1/bias/replica_3/ResourceApplyAdam",
  53918. "input9": "^training/TFOptimizer/Adam/update_3_14/update_dense_1/kernel/replica_3/ResourceApplyAdam",
  53919. "input10": "^training/TFOptimizer/Adam/update_3_13/update_dense/bias/replica_3/ResourceApplyAdam",
  53920. "input11": "^training/TFOptimizer/Adam/update_3_12/update_dense/kernel/replica_3/ResourceApplyAdam",
  53921. "input12": "^training/TFOptimizer/Adam/update_3_11/update_conv2d_2/bias/replica_3/ResourceApplyAdam",
  53922. "input13": "^training/TFOptimizer/Adam/update_3_10/update_conv2d_2/kernel/replica_3/ResourceApplyAdam",
  53923. "input14": "^training/TFOptimizer/Adam/update_3_1/update_batch_normalization/beta/replica_3/ResourceApplyAdam",
  53924. "input15": "^training/TFOptimizer/Adam/update_3/update_batch_normalization/gamma/replica_3/ResourceApplyAdam"
  53925. }
  53926. },
  53927. {
  53928. "ph": "X",
  53929. "cat": "Op",
  53930. "name": "NoOp",
  53931. "pid": 19,
  53932. "tid": 0,
  53933. "ts": 1539815917570659,
  53934. "dur": 4,
  53935. "args": {
  53936. "name": "GroupCrossDeviceControlEdges_2/training/TFOptimizer/Adam/update_1_16/ReadVariableOp_2",
  53937. "op": "NoOp",
  53938. "input0": "^training/TFOptimizer/Adam/update_3_9/update_batch_normalization_2/beta/replica_3/ResourceApplyAdam",
  53939. "input1": "^training/TFOptimizer/Adam/update_3_8/update_batch_normalization_2/gamma/replica_3/ResourceApplyAdam",
  53940. "input2": "^training/TFOptimizer/Adam/update_3_7/update_conv2d_1/bias/replica_3/ResourceApplyAdam",
  53941. "input3": "^training/TFOptimizer/Adam/update_3_6/update_conv2d_1/kernel/replica_3/ResourceApplyAdam",
  53942. "input4": "^training/TFOptimizer/Adam/update_3_5/update_batch_normalization_1/beta/replica_3/ResourceApplyAdam",
  53943. "input5": "^training/TFOptimizer/Adam/update_3_4/update_batch_normalization_1/gamma/replica_3/ResourceApplyAdam",
  53944. "input6": "^training/TFOptimizer/Adam/update_3_3/update_conv2d/bias/replica_3/ResourceApplyAdam",
  53945. "input7": "^training/TFOptimizer/Adam/update_3_2/update_conv2d/kernel/replica_3/ResourceApplyAdam",
  53946. "input8": "^training/TFOptimizer/Adam/update_3_15/update_dense_1/bias/replica_3/ResourceApplyAdam",
  53947. "input9": "^training/TFOptimizer/Adam/update_3_14/update_dense_1/kernel/replica_3/ResourceApplyAdam",
  53948. "input10": "^training/TFOptimizer/Adam/update_3_13/update_dense/bias/replica_3/ResourceApplyAdam",
  53949. "input11": "^training/TFOptimizer/Adam/update_3_12/update_dense/kernel/replica_3/ResourceApplyAdam",
  53950. "input12": "^training/TFOptimizer/Adam/update_3_11/update_conv2d_2/bias/replica_3/ResourceApplyAdam",
  53951. "input13": "^training/TFOptimizer/Adam/update_3_10/update_conv2d_2/kernel/replica_3/ResourceApplyAdam",
  53952. "input14": "^training/TFOptimizer/Adam/update_3_1/update_batch_normalization/beta/replica_3/ResourceApplyAdam",
  53953. "input15": "^training/TFOptimizer/Adam/update_3/update_batch_normalization/gamma/replica_3/ResourceApplyAdam"
  53954. }
  53955. },
  53956. {
  53957. "ph": "X",
  53958. "cat": "Op",
  53959. "name": "NoOp",
  53960. "pid": 19,
  53961. "tid": 0,
  53962. "ts": 1539815917570673,
  53963. "dur": 6,
  53964. "args": {
  53965. "name": "GroupCrossDeviceControlEdges_2/training/TFOptimizer/Adam/update_2_16/ReadVariableOp",
  53966. "op": "NoOp",
  53967. "input0": "^training/TFOptimizer/Adam/update_3_9/update_batch_normalization_2/beta/replica_3/ResourceApplyAdam",
  53968. "input1": "^training/TFOptimizer/Adam/update_3_8/update_batch_normalization_2/gamma/replica_3/ResourceApplyAdam",
  53969. "input2": "^training/TFOptimizer/Adam/update_3_7/update_conv2d_1/bias/replica_3/ResourceApplyAdam",
  53970. "input3": "^training/TFOptimizer/Adam/update_3_6/update_conv2d_1/kernel/replica_3/ResourceApplyAdam",
  53971. "input4": "^training/TFOptimizer/Adam/update_3_5/update_batch_normalization_1/beta/replica_3/ResourceApplyAdam",
  53972. "input5": "^training/TFOptimizer/Adam/update_3_4/update_batch_normalization_1/gamma/replica_3/ResourceApplyAdam",
  53973. "input6": "^training/TFOptimizer/Adam/update_3_3/update_conv2d/bias/replica_3/ResourceApplyAdam",
  53974. "input7": "^training/TFOptimizer/Adam/update_3_2/update_conv2d/kernel/replica_3/ResourceApplyAdam",
  53975. "input8": "^training/TFOptimizer/Adam/update_3_15/update_dense_1/bias/replica_3/ResourceApplyAdam",
  53976. "input9": "^training/TFOptimizer/Adam/update_3_14/update_dense_1/kernel/replica_3/ResourceApplyAdam",
  53977. "input10": "^training/TFOptimizer/Adam/update_3_13/update_dense/bias/replica_3/ResourceApplyAdam",
  53978. "input11": "^training/TFOptimizer/Adam/update_3_12/update_dense/kernel/replica_3/ResourceApplyAdam",
  53979. "input12": "^training/TFOptimizer/Adam/update_3_11/update_conv2d_2/bias/replica_3/ResourceApplyAdam",
  53980. "input13": "^training/TFOptimizer/Adam/update_3_10/update_conv2d_2/kernel/replica_3/ResourceApplyAdam",
  53981. "input14": "^training/TFOptimizer/Adam/update_3_1/update_batch_normalization/beta/replica_3/ResourceApplyAdam",
  53982. "input15": "^training/TFOptimizer/Adam/update_3/update_batch_normalization/gamma/replica_3/ResourceApplyAdam"
  53983. }
  53984. },
  53985. {
  53986. "ph": "X",
  53987. "cat": "Op",
  53988. "name": "Const",
  53989. "pid": 19,
  53990. "tid": 0,
  53991. "ts": 1539815917570684,
  53992. "dur": 8,
  53993. "args": {
  53994. "name": "training/TFOptimizer/Adam/update_0_16/update/NoOp_3/_1538",
  53995. "op": "Const",
  53996. "input0": "^training/TFOptimizer/Adam/update_0_16/update/NoOp_3"
  53997. }
  53998. },
  53999. {
  54000. "ph": "X",
  54001. "cat": "Op",
  54002. "name": "Const",
  54003. "pid": 19,
  54004. "tid": 0,
  54005. "ts": 1539815917570695,
  54006. "dur": 5,
  54007. "args": {
  54008. "name": "training/TFOptimizer/Adam/update_0_16/update/NoOp_3/_1562",
  54009. "op": "Const",
  54010. "input0": "^training/TFOptimizer/Adam/update_0_16/update/NoOp_3"
  54011. }
  54012. },
  54013. {
  54014. "ph": "X",
  54015. "cat": "Op",
  54016. "name": "Const",
  54017. "pid": 19,
  54018. "tid": 0,
  54019. "ts": 1539815917570703,
  54020. "dur": 5,
  54021. "args": {
  54022. "name": "training/TFOptimizer/Adam/update_0_16/update/NoOp_3/_1574",
  54023. "op": "Const",
  54024. "input0": "^training/TFOptimizer/Adam/update_0_16/update/NoOp_3"
  54025. }
  54026. },
  54027. {
  54028. "ph": "X",
  54029. "cat": "Op",
  54030. "name": "Identity",
  54031. "pid": 19,
  54032. "tid": 0,
  54033. "ts": 1539815917570734,
  54034. "dur": 6,
  54035. "args": {
  54036. "name": "training/TFOptimizer/Adam/update_0_16/update/NoOp_2/_1553",
  54037. "op": "Identity",
  54038. "input0": "training/TFOptimizer/Adam/update_0_16/update/NoOp_2/_1552"
  54039. }
  54040. },
  54041. {
  54042. "ph": "X",
  54043. "cat": "Op",
  54044. "name": "Identity",
  54045. "pid": 19,
  54046. "tid": 0,
  54047. "ts": 1539815917570752,
  54048. "dur": 6,
  54049. "args": {
  54050. "name": "training/TFOptimizer/Adam/update_0_16/update/NoOp_1/_1549",
  54051. "op": "Identity",
  54052. "input0": "training/TFOptimizer/Adam/update_0_16/update/NoOp_1/_1548"
  54053. }
  54054. },
  54055. {
  54056. "ph": "X",
  54057. "cat": "Op",
  54058. "name": "Const",
  54059. "pid": 19,
  54060. "tid": 0,
  54061. "ts": 1539815917570765,
  54062. "dur": 8,
  54063. "args": {
  54064. "name": "GroupCrossDeviceControlEdges_2/training/TFOptimizer/Adam/update_2_16/ReadVariableOp_2/_1442",
  54065. "op": "Const",
  54066. "input0": "^GroupCrossDeviceControlEdges_2/training/TFOptimizer/Adam/update_2_16/ReadVariableOp_2"
  54067. }
  54068. },
  54069. {
  54070. "ph": "X",
  54071. "cat": "Op",
  54072. "name": "Const",
  54073. "pid": 19,
  54074. "tid": 0,
  54075. "ts": 1539815917570776,
  54076. "dur": 5,
  54077. "args": {
  54078. "name": "GroupCrossDeviceControlEdges_2/training/TFOptimizer/Adam/update_0_16/ReadVariableOp/_1490",
  54079. "op": "Const",
  54080. "input0": "^GroupCrossDeviceControlEdges_2/training/TFOptimizer/Adam/update_0_16/ReadVariableOp"
  54081. }
  54082. },
  54083. {
  54084. "ph": "X",
  54085. "cat": "Op",
  54086. "name": "Const",
  54087. "pid": 19,
  54088. "tid": 0,
  54089. "ts": 1539815917570783,
  54090. "dur": 8,
  54091. "args": {
  54092. "name": "GroupCrossDeviceControlEdges_2/training/TFOptimizer/Adam/update_0_16/ReadVariableOp_2/_1502",
  54093. "op": "Const",
  54094. "input0": "^GroupCrossDeviceControlEdges_2/training/TFOptimizer/Adam/update_0_16/ReadVariableOp_2"
  54095. }
  54096. },
  54097. {
  54098. "ph": "X",
  54099. "cat": "Op",
  54100. "name": "Const",
  54101. "pid": 19,
  54102. "tid": 0,
  54103. "ts": 1539815917570793,
  54104. "dur": 5,
  54105. "args": {
  54106. "name": "GroupCrossDeviceControlEdges_2/training/TFOptimizer/Adam/update_1_16/ReadVariableOp/_1514",
  54107. "op": "Const",
  54108. "input0": "^GroupCrossDeviceControlEdges_2/training/TFOptimizer/Adam/update_1_16/ReadVariableOp"
  54109. }
  54110. },
  54111. {
  54112. "ph": "X",
  54113. "cat": "Op",
  54114. "name": "Const",
  54115. "pid": 19,
  54116. "tid": 0,
  54117. "ts": 1539815917570800,
  54118. "dur": 5,
  54119. "args": {
  54120. "name": "GroupCrossDeviceControlEdges_2/training/TFOptimizer/Adam/update_1_16/ReadVariableOp_2/_1526",
  54121. "op": "Const",
  54122. "input0": "^GroupCrossDeviceControlEdges_2/training/TFOptimizer/Adam/update_1_16/ReadVariableOp_2"
  54123. }
  54124. },
  54125. {
  54126. "ph": "X",
  54127. "cat": "Op",
  54128. "name": "Const",
  54129. "pid": 19,
  54130. "tid": 0,
  54131. "ts": 1539815917570807,
  54132. "dur": 27,
  54133. "args": {
  54134. "name": "GroupCrossDeviceControlEdges_2/training/TFOptimizer/Adam/update_2_16/ReadVariableOp/_1454",
  54135. "op": "Const",
  54136. "input0": "^GroupCrossDeviceControlEdges_2/training/TFOptimizer/Adam/update_2_16/ReadVariableOp"
  54137. }
  54138. },
  54139. {
  54140. "ph": "X",
  54141. "cat": "Op",
  54142. "name": "Identity",
  54143. "pid": 19,
  54144. "tid": 0,
  54145. "ts": 1539815917570897,
  54146. "dur": 15,
  54147. "args": {
  54148. "name": "GroupCrossDeviceControlEdges_0/training/TFOptimizer/Adam/update_3_16/ReadVariableOp/_1461",
  54149. "op": "Identity",
  54150. "input0": "GroupCrossDeviceControlEdges_0/training/TFOptimizer/Adam/update_3_16/ReadVariableOp/_1460"
  54151. }
  54152. },
  54153. {
  54154. "ph": "X",
  54155. "cat": "Op",
  54156. "name": "Identity",
  54157. "pid": 19,
  54158. "tid": 0,
  54159. "ts": 1539815917570932,
  54160. "dur": 7,
  54161. "args": {
  54162. "name": "GroupCrossDeviceControlEdges_0/training/TFOptimizer/Adam/update_3_16/ReadVariableOp_2/_1473",
  54163. "op": "Identity",
  54164. "input0": "GroupCrossDeviceControlEdges_0/training/TFOptimizer/Adam/update_3_16/ReadVariableOp_2/_1472"
  54165. }
  54166. },
  54167. {
  54168. "ph": "X",
  54169. "cat": "Op",
  54170. "name": "ReadVariableOp",
  54171. "pid": 19,
  54172. "tid": 1,
  54173. "ts": 1539815917570917,
  54174. "dur": 14,
  54175. "args": {
  54176. "name": "training/TFOptimizer/Adam/update_3_16/ReadVariableOp",
  54177. "op": "ReadVariableOp",
  54178. "input0": "training/TFOptimizer/beta1_power/replica_3",
  54179. "input1": "^training/TFOptimizer/Adam/update_3_9/update_batch_normalization_2/beta/replica_3/ResourceApplyAdam",
  54180. "input2": "^training/TFOptimizer/Adam/update_3_8/update_batch_normalization_2/gamma/replica_3/ResourceApplyAdam",
  54181. "input3": "^training/TFOptimizer/Adam/update_3_7/update_conv2d_1/bias/replica_3/ResourceApplyAdam",
  54182. "input4": "^training/TFOptimizer/Adam/update_3_6/update_conv2d_1/kernel/replica_3/ResourceApplyAdam",
  54183. "input5": "^training/TFOptimizer/Adam/update_3_5/update_batch_normalization_1/beta/replica_3/ResourceApplyAdam",
  54184. "input6": "^training/TFOptimizer/Adam/update_3_4/update_batch_normalization_1/gamma/replica_3/ResourceApplyAdam",
  54185. "input7": "^training/TFOptimizer/Adam/update_3_3/update_conv2d/bias/replica_3/ResourceApplyAdam",
  54186. "input8": "^training/TFOptimizer/Adam/update_3_2/update_conv2d/kernel/replica_3/ResourceApplyAdam",
  54187. "input9": "^training/TFOptimizer/Adam/update_3_15/update_dense_1/bias/replica_3/ResourceApplyAdam",
  54188. "input10": "^training/TFOptimizer/Adam/update_3_14/update_dense_1/kernel/replica_3/ResourceApplyAdam",
  54189. "input11": "^training/TFOptimizer/Adam/update_3_13/update_dense/bias/replica_3/ResourceApplyAdam",
  54190. "input12": "^training/TFOptimizer/Adam/update_3_12/update_dense/kernel/replica_3/ResourceApplyAdam",
  54191. "input13": "^training/TFOptimizer/Adam/update_3_11/update_conv2d_2/bias/replica_3/ResourceApplyAdam",
  54192. "input14": "^training/TFOptimizer/Adam/update_3_10/update_conv2d_2/kernel/replica_3/ResourceApplyAdam",
  54193. "input15": "^training/TFOptimizer/Adam/update_3_1/update_batch_normalization/beta/replica_3/ResourceApplyAdam",
  54194. "input16": "^training/TFOptimizer/Adam/update_3/update_batch_normalization/gamma/replica_3/ResourceApplyAdam",
  54195. "input17": "^GroupCrossDeviceControlEdges_0/training/TFOptimizer/Adam/update_3_16/ReadVariableOp/_1461",
  54196. "input18": "^GroupCrossDeviceControlEdges_1/training/TFOptimizer/Adam/update_3_16/ReadVariableOp/_1465",
  54197. "input19": "^GroupCrossDeviceControlEdges_2/training/TFOptimizer/Adam/update_3_16/ReadVariableOp/_1469"
  54198. }
  54199. },
  54200. {
  54201. "ph": "s",
  54202. "cat": "DataFlow",
  54203. "name": "training/TFOptimizer/beta1_power/replica_3",
  54204. "pid": 19,
  54205. "tid": 0,
  54206. "ts": 1539815912099388,
  54207. "id": 97
  54208. },
  54209. {
  54210. "ph": "t",
  54211. "cat": "DataFlow",
  54212. "name": "training/TFOptimizer/beta1_power/replica_3",
  54213. "pid": 19,
  54214. "tid": 1,
  54215. "ts": 1539815917570917,
  54216. "id": 97
  54217. },
  54218. {
  54219. "ph": "X",
  54220. "cat": "Op",
  54221. "name": "ReadVariableOp",
  54222. "pid": 19,
  54223. "tid": 0,
  54224. "ts": 1539815917570942,
  54225. "dur": 10,
  54226. "args": {
  54227. "name": "training/TFOptimizer/Adam/update_3_16/ReadVariableOp_2",
  54228. "op": "ReadVariableOp",
  54229. "input0": "training/TFOptimizer/beta2_power/replica_3",
  54230. "input1": "^training/TFOptimizer/Adam/update_3_9/update_batch_normalization_2/beta/replica_3/ResourceApplyAdam",
  54231. "input2": "^training/TFOptimizer/Adam/update_3_8/update_batch_normalization_2/gamma/replica_3/ResourceApplyAdam",
  54232. "input3": "^training/TFOptimizer/Adam/update_3_7/update_conv2d_1/bias/replica_3/ResourceApplyAdam",
  54233. "input4": "^training/TFOptimizer/Adam/update_3_6/update_conv2d_1/kernel/replica_3/ResourceApplyAdam",
  54234. "input5": "^training/TFOptimizer/Adam/update_3_5/update_batch_normalization_1/beta/replica_3/ResourceApplyAdam",
  54235. "input6": "^training/TFOptimizer/Adam/update_3_4/update_batch_normalization_1/gamma/replica_3/ResourceApplyAdam",
  54236. "input7": "^training/TFOptimizer/Adam/update_3_3/update_conv2d/bias/replica_3/ResourceApplyAdam",
  54237. "input8": "^training/TFOptimizer/Adam/update_3_2/update_conv2d/kernel/replica_3/ResourceApplyAdam",
  54238. "input9": "^training/TFOptimizer/Adam/update_3_15/update_dense_1/bias/replica_3/ResourceApplyAdam",
  54239. "input10": "^training/TFOptimizer/Adam/update_3_14/update_dense_1/kernel/replica_3/ResourceApplyAdam",
  54240. "input11": "^training/TFOptimizer/Adam/update_3_13/update_dense/bias/replica_3/ResourceApplyAdam",
  54241. "input12": "^training/TFOptimizer/Adam/update_3_12/update_dense/kernel/replica_3/ResourceApplyAdam",
  54242. "input13": "^training/TFOptimizer/Adam/update_3_11/update_conv2d_2/bias/replica_3/ResourceApplyAdam",
  54243. "input14": "^training/TFOptimizer/Adam/update_3_10/update_conv2d_2/kernel/replica_3/ResourceApplyAdam",
  54244. "input15": "^training/TFOptimizer/Adam/update_3_1/update_batch_normalization/beta/replica_3/ResourceApplyAdam",
  54245. "input16": "^training/TFOptimizer/Adam/update_3/update_batch_normalization/gamma/replica_3/ResourceApplyAdam",
  54246. "input17": "^GroupCrossDeviceControlEdges_0/training/TFOptimizer/Adam/update_3_16/ReadVariableOp_2/_1473",
  54247. "input18": "^GroupCrossDeviceControlEdges_1/training/TFOptimizer/Adam/update_3_16/ReadVariableOp_2/_1477",
  54248. "input19": "^GroupCrossDeviceControlEdges_2/training/TFOptimizer/Adam/update_3_16/ReadVariableOp_2/_1481"
  54249. }
  54250. },
  54251. {
  54252. "ph": "X",
  54253. "cat": "Op",
  54254. "name": "Mul",
  54255. "pid": 19,
  54256. "tid": 1,
  54257. "ts": 1539815917570947,
  54258. "dur": 62,
  54259. "args": {
  54260. "name": "training/TFOptimizer/Adam/update_3_16/mul",
  54261. "op": "Mul",
  54262. "input0": "training/TFOptimizer/Adam/update_3_16/ReadVariableOp",
  54263. "input1": "training/TFOptimizer/Adam/beta1/_1413"
  54264. }
  54265. },
  54266. {
  54267. "ph": "s",
  54268. "cat": "DataFlow",
  54269. "name": "training/TFOptimizer/Adam/beta1",
  54270. "pid": 41,
  54271. "tid": 0,
  54272. "ts": 1539815912099133,
  54273. "id": 98
  54274. },
  54275. {
  54276. "ph": "t",
  54277. "cat": "DataFlow",
  54278. "name": "training/TFOptimizer/Adam/beta1",
  54279. "pid": 19,
  54280. "tid": 1,
  54281. "ts": 1539815917570947,
  54282. "id": 98
  54283. },
  54284. {
  54285. "ph": "X",
  54286. "cat": "Op",
  54287. "name": "AssignVariableOp",
  54288. "pid": 19,
  54289. "tid": 0,
  54290. "ts": 1539815917571014,
  54291. "dur": 10,
  54292. "args": {
  54293. "name": "training/TFOptimizer/Adam/update_3_16/AssignVariableOp",
  54294. "op": "AssignVariableOp",
  54295. "input0": "training/TFOptimizer/beta1_power/replica_3",
  54296. "input1": "training/TFOptimizer/Adam/update_3_16/mul"
  54297. }
  54298. },
  54299. {
  54300. "ph": "s",
  54301. "cat": "DataFlow",
  54302. "name": "training/TFOptimizer/Adam/update_3_16/mul",
  54303. "pid": 19,
  54304. "tid": 1,
  54305. "ts": 1539815917571009,
  54306. "id": 99
  54307. },
  54308. {
  54309. "ph": "t",
  54310. "cat": "DataFlow",
  54311. "name": "training/TFOptimizer/Adam/update_3_16/mul",
  54312. "pid": 19,
  54313. "tid": 0,
  54314. "ts": 1539815917571014,
  54315. "id": 99
  54316. },
  54317. {
  54318. "ph": "X",
  54319. "cat": "Op",
  54320. "name": "ReadVariableOp",
  54321. "pid": 19,
  54322. "tid": 0,
  54323. "ts": 1539815917571027,
  54324. "dur": 5,
  54325. "args": {
  54326. "name": "training/TFOptimizer/Adam/update_3_16/ReadVariableOp_1",
  54327. "op": "ReadVariableOp",
  54328. "input0": "training/TFOptimizer/beta1_power/replica_3",
  54329. "input1": "^training/TFOptimizer/Adam/update_3_16/AssignVariableOp"
  54330. }
  54331. },
  54332. {
  54333. "ph": "X",
  54334. "cat": "Op",
  54335. "name": "Mul",
  54336. "pid": 19,
  54337. "tid": 2,
  54338. "ts": 1539815917570961,
  54339. "dur": 85,
  54340. "args": {
  54341. "name": "training/TFOptimizer/Adam/update_3_16/mul_1",
  54342. "op": "Mul",
  54343. "input0": "training/TFOptimizer/Adam/update_3_16/ReadVariableOp_2",
  54344. "input1": "training/TFOptimizer/Adam/beta2/_1415"
  54345. }
  54346. },
  54347. {
  54348. "ph": "s",
  54349. "cat": "DataFlow",
  54350. "name": "training/TFOptimizer/Adam/update_3_16/ReadVariableOp_2",
  54351. "pid": 19,
  54352. "tid": 0,
  54353. "ts": 1539815917570952,
  54354. "id": 100
  54355. },
  54356. {
  54357. "ph": "t",
  54358. "cat": "DataFlow",
  54359. "name": "training/TFOptimizer/Adam/update_3_16/ReadVariableOp_2",
  54360. "pid": 19,
  54361. "tid": 2,
  54362. "ts": 1539815917570961,
  54363. "id": 100
  54364. },
  54365. {
  54366. "ph": "s",
  54367. "cat": "DataFlow",
  54368. "name": "training/TFOptimizer/Adam/beta2",
  54369. "pid": 41,
  54370. "tid": 0,
  54371. "ts": 1539815912099143,
  54372. "id": 101
  54373. },
  54374. {
  54375. "ph": "t",
  54376. "cat": "DataFlow",
  54377. "name": "training/TFOptimizer/Adam/beta2",
  54378. "pid": 19,
  54379. "tid": 2,
  54380. "ts": 1539815917570961,
  54381. "id": 101
  54382. },
  54383. {
  54384. "ph": "X",
  54385. "cat": "Op",
  54386. "name": "AssignVariableOp",
  54387. "pid": 19,
  54388. "tid": 0,
  54389. "ts": 1539815917571051,
  54390. "dur": 9,
  54391. "args": {
  54392. "name": "training/TFOptimizer/Adam/update_3_16/AssignVariableOp_1",
  54393. "op": "AssignVariableOp",
  54394. "input0": "training/TFOptimizer/beta2_power/replica_3",
  54395. "input1": "training/TFOptimizer/Adam/update_3_16/mul_1"
  54396. }
  54397. },
  54398. {
  54399. "ph": "s",
  54400. "cat": "DataFlow",
  54401. "name": "training/TFOptimizer/Adam/update_3_16/mul_1",
  54402. "pid": 19,
  54403. "tid": 2,
  54404. "ts": 1539815917571046,
  54405. "id": 102
  54406. },
  54407. {
  54408. "ph": "t",
  54409. "cat": "DataFlow",
  54410. "name": "training/TFOptimizer/Adam/update_3_16/mul_1",
  54411. "pid": 19,
  54412. "tid": 0,
  54413. "ts": 1539815917571051,
  54414. "id": 102
  54415. },
  54416. {
  54417. "ph": "X",
  54418. "cat": "Op",
  54419. "name": "Identity",
  54420. "pid": 19,
  54421. "tid": 0,
  54422. "ts": 1539815917571061,
  54423. "dur": 7,
  54424. "args": {
  54425. "name": "training/TFOptimizer/Adam/update_1_16/update/NoOp/_1545",
  54426. "op": "Identity",
  54427. "input0": "training/TFOptimizer/Adam/update_1_16/update/NoOp/_1544"
  54428. }
  54429. },
  54430. {
  54431. "ph": "X",
  54432. "cat": "Op",
  54433. "name": "ReadVariableOp",
  54434. "pid": 19,
  54435. "tid": 1,
  54436. "ts": 1539815917571063,
  54437. "dur": 6,
  54438. "args": {
  54439. "name": "training/TFOptimizer/Adam/update_3_16/ReadVariableOp_3",
  54440. "op": "ReadVariableOp",
  54441. "input0": "training/TFOptimizer/beta2_power/replica_3",
  54442. "input1": "^training/TFOptimizer/Adam/update_3_16/AssignVariableOp_1"
  54443. }
  54444. },
  54445. {
  54446. "ph": "s",
  54447. "cat": "DataFlow",
  54448. "name": "training/TFOptimizer/beta2_power/replica_3",
  54449. "pid": 19,
  54450. "tid": 0,
  54451. "ts": 1539815912099401,
  54452. "id": 103
  54453. },
  54454. {
  54455. "ph": "t",
  54456. "cat": "DataFlow",
  54457. "name": "training/TFOptimizer/beta2_power/replica_3",
  54458. "pid": 19,
  54459. "tid": 1,
  54460. "ts": 1539815917571063,
  54461. "id": 103
  54462. },
  54463. {
  54464. "ph": "X",
  54465. "cat": "Op",
  54466. "name": "NoOp",
  54467. "pid": 19,
  54468. "tid": 0,
  54469. "ts": 1539815917571071,
  54470. "dur": 5,
  54471. "args": {
  54472. "name": "training/TFOptimizer/Adam/update_3_16/update",
  54473. "op": "NoOp",
  54474. "input0": "^training/TFOptimizer/Adam/update_1_16/update/NoOp/_1545",
  54475. "input1": "^training/TFOptimizer/Adam/update_0_16/update/NoOp_1/_1549",
  54476. "input2": "^training/TFOptimizer/Adam/update_0_16/update/NoOp_2/_1553",
  54477. "input3": "^training/TFOptimizer/Adam/update_3_16/ReadVariableOp_3",
  54478. "input4": "^training/TFOptimizer/Adam/update_3_16/ReadVariableOp_1"
  54479. }
  54480. },
  54481. {
  54482. "ph": "X",
  54483. "cat": "Op",
  54484. "name": "Const",
  54485. "pid": 19,
  54486. "tid": 0,
  54487. "ts": 1539815917571080,
  54488. "dur": 7,
  54489. "args": {
  54490. "name": "training/TFOptimizer/Adam/update_3_16/update/_1586",
  54491. "op": "Const",
  54492. "input0": "^training/TFOptimizer/Adam/update_3_16/update"
  54493. }
  54494. },
  54495. {
  54496. "ph": "X",
  54497. "cat": "Op",
  54498. "name": "Const",
  54499. "pid": 19,
  54500. "tid": 0,
  54501. "ts": 1539815917571089,
  54502. "dur": 4,
  54503. "args": {
  54504. "name": "training/TFOptimizer/Adam/update_3_16/update/_1598",
  54505. "op": "Const",
  54506. "input0": "^training/TFOptimizer/Adam/update_3_16/update"
  54507. }
  54508. },
  54509. {
  54510. "ph": "X",
  54511. "cat": "Op",
  54512. "name": "Const",
  54513. "pid": 19,
  54514. "tid": 0,
  54515. "ts": 1539815917571096,
  54516. "dur": 4,
  54517. "args": {
  54518. "name": "training/TFOptimizer/Adam/update_3_16/update/_1610",
  54519. "op": "Const",
  54520. "input0": "^training/TFOptimizer/Adam/update_3_16/update"
  54521. }
  54522. },
  54523. {
  54524. "ph": "X",
  54525. "cat": "Op",
  54526. "name": "Identity",
  54527. "pid": 19,
  54528. "tid": 0,
  54529. "ts": 1539815917571328,
  54530. "dur": 6,
  54531. "args": {
  54532. "name": "training/TFOptimizer/Adam/update_0_16/update/_1617",
  54533. "op": "Identity",
  54534. "input0": "training/TFOptimizer/Adam/update_0_16/update/_1616"
  54535. }
  54536. },
  54537. {
  54538. "ph": "X",
  54539. "cat": "Op",
  54540. "name": "Identity",
  54541. "pid": 19,
  54542. "tid": 0,
  54543. "ts": 1539815917571488,
  54544. "dur": 10,
  54545. "args": {
  54546. "name": "training/TFOptimizer/Adam/update_2_16/update/_1625",
  54547. "op": "Identity",
  54548. "input0": "training/TFOptimizer/Adam/update_2_16/update/_1624"
  54549. }
  54550. },
  54551. {
  54552. "ph": "X",
  54553. "cat": "Op",
  54554. "name": "Identity",
  54555. "pid": 19,
  54556. "tid": 1,
  54557. "ts": 1539815917571490,
  54558. "dur": 11,
  54559. "args": {
  54560. "name": "training/TFOptimizer/Adam/update_1_16/update/_1621",
  54561. "op": "Identity",
  54562. "input0": "training/TFOptimizer/Adam/update_1_16/update/_1620"
  54563. }
  54564. },
  54565. {
  54566. "ph": "X",
  54567. "cat": "Op",
  54568. "name": "Const",
  54569. "pid": 19,
  54570. "tid": 0,
  54571. "ts": 1539815917571505,
  54572. "dur": 8,
  54573. "args": {
  54574. "name": "training/TFOptimizer/Adam/update_3_17/Const",
  54575. "op": "Const",
  54576. "input0": "^training/TFOptimizer/Adam/update_0_16/update/_1617",
  54577. "input1": "^training/TFOptimizer/Adam/update_1_16/update/_1621",
  54578. "input2": "^training/TFOptimizer/Adam/update_2_16/update/_1625",
  54579. "input3": "^training/TFOptimizer/Adam/update_3_16/update"
  54580. }
  54581. },
  54582. {
  54583. "ph": "X",
  54584. "cat": "Op",
  54585. "name": "AssignAddVariableOp",
  54586. "pid": 19,
  54587. "tid": 0,
  54588. "ts": 1539815917571517,
  54589. "dur": 84,
  54590. "args": {
  54591. "name": "training/TFOptimizer/Adam/update_3_17/AssignAddVariableOp",
  54592. "op": "AssignAddVariableOp",
  54593. "input0": "global_step/replica_3",
  54594. "input1": "training/TFOptimizer/Adam/update_3_17/Const"
  54595. }
  54596. },
  54597. {
  54598. "ph": "X",
  54599. "cat": "Op",
  54600. "name": "ReadVariableOp",
  54601. "pid": 19,
  54602. "tid": 0,
  54603. "ts": 1539815917571605,
  54604. "dur": 11,
  54605. "args": {
  54606. "name": "training/TFOptimizer/Adam/update_3_17/ReadVariableOp",
  54607. "op": "ReadVariableOp",
  54608. "input0": "global_step/replica_3",
  54609. "input1": "^training/TFOptimizer/Adam/update_3_17/AssignAddVariableOp"
  54610. }
  54611. },
  54612. {
  54613. "ph": "X",
  54614. "cat": "Op",
  54615. "name": "Const",
  54616. "pid": 19,
  54617. "tid": 0,
  54618. "ts": 1539815917571618,
  54619. "dur": 6,
  54620. "args": {
  54621. "name": "training/TFOptimizer/Adam/update_3_17/ReadVariableOp/_1634",
  54622. "op": "Const",
  54623. "input0": "^training/TFOptimizer/Adam/update_3_17/ReadVariableOp"
  54624. }
  54625. },
  54626. {
  54627. "ph": "X",
  54628. "cat": "Op",
  54629. "name": "Identity",
  54630. "pid": 19,
  54631. "tid": 0,
  54632. "ts": 1539815917571828,
  54633. "dur": 6,
  54634. "args": {
  54635. "name": "training/TFOptimizer/Adam/group_deps/_1649",
  54636. "op": "Identity",
  54637. "input0": "training/TFOptimizer/Adam/group_deps/_1648"
  54638. }
  54639. },
  54640. {
  54641. "ph": "X",
  54642. "cat": "Op",
  54643. "name": "NoOp",
  54644. "pid": 19,
  54645. "tid": 0,
  54646. "ts": 1539815917571837,
  54647. "dur": 9,
  54648. "args": {
  54649. "name": "tower_3/training/group_deps",
  54650. "op": "NoOp",
  54651. "input0": "^tower_3/batch_normalization_2/AssignMovingAvg/AssignSubVariableOp",
  54652. "input1": "^tower_3/batch_normalization_2/AssignMovingAvg_1/AssignSubVariableOp",
  54653. "input2": "^training/TFOptimizer/Adam/group_deps/_1649",
  54654. "input3": "^tower_3/batch_normalization/AssignMovingAvg/AssignSubVariableOp",
  54655. "input4": "^tower_3/batch_normalization/AssignMovingAvg_1/AssignSubVariableOp",
  54656. "input5": "^tower_3/batch_normalization_1/AssignMovingAvg/AssignSubVariableOp",
  54657. "input6": "^tower_3/batch_normalization_1/AssignMovingAvg_1/AssignSubVariableOp"
  54658. }
  54659. },
  54660. {
  54661. "ph": "X",
  54662. "cat": "Op",
  54663. "name": "Const",
  54664. "pid": 19,
  54665. "tid": 0,
  54666. "ts": 1539815917571850,
  54667. "dur": 5,
  54668. "args": {
  54669. "name": "tower_3/training/group_deps/_1658",
  54670. "op": "Const",
  54671. "input0": "^tower_3/training/group_deps"
  54672. }
  54673. },
  54674. {
  54675. "ph": "X",
  54676. "cat": "Op",
  54677. "name": "FusedBatchNorm",
  54678. "pid": 21,
  54679. "tid": 0,
  54680. "ts": 1539815916889160,
  54681. "dur": 2,
  54682. "args": {
  54683. "name": "tower_2/batch_normalization/FusedBatchNorm",
  54684. "op": "FusedBatchNorm"
  54685. }
  54686. },
  54687. {
  54688. "ph": "X",
  54689. "cat": "Op",
  54690. "name": "MEMCPYHtoD",
  54691. "pid": 21,
  54692. "tid": 0,
  54693. "ts": 1539815917559920,
  54694. "dur": 2,
  54695. "args": {
  54696. "name": "unknown",
  54697. "op": "MEMCPYHtoD"
  54698. }
  54699. },
  54700. {
  54701. "ph": "X",
  54702. "cat": "Op",
  54703. "name": "MEMCPYHtoD",
  54704. "pid": 21,
  54705. "tid": 0,
  54706. "ts": 1539815917559930,
  54707. "dur": 1,
  54708. "args": {
  54709. "name": "unknown",
  54710. "op": "MEMCPYHtoD"
  54711. }
  54712. },
  54713. {
  54714. "ph": "X",
  54715. "cat": "Op",
  54716. "name": "MEMCPYHtoD",
  54717. "pid": 21,
  54718. "tid": 0,
  54719. "ts": 1539815917559940,
  54720. "dur": 2,
  54721. "args": {
  54722. "name": "unknown",
  54723. "op": "MEMCPYHtoD"
  54724. }
  54725. },
  54726. {
  54727. "ph": "X",
  54728. "cat": "Op",
  54729. "name": "MEMCPYHtoD",
  54730. "pid": 21,
  54731. "tid": 0,
  54732. "ts": 1539815917559950,
  54733. "dur": 1,
  54734. "args": {
  54735. "name": "unknown",
  54736. "op": "MEMCPYHtoD"
  54737. }
  54738. },
  54739. {
  54740. "ph": "X",
  54741. "cat": "Op",
  54742. "name": "MEMCPYHtoD",
  54743. "pid": 21,
  54744. "tid": 0,
  54745. "ts": 1539815917559960,
  54746. "dur": 1,
  54747. "args": {
  54748. "name": "unknown",
  54749. "op": "MEMCPYHtoD"
  54750. }
  54751. },
  54752. {
  54753. "ph": "X",
  54754. "cat": "Op",
  54755. "name": "MEMCPYHtoD",
  54756. "pid": 21,
  54757. "tid": 0,
  54758. "ts": 1539815917559969,
  54759. "dur": 2,
  54760. "args": {
  54761. "name": "unknown",
  54762. "op": "MEMCPYHtoD"
  54763. }
  54764. },
  54765. {
  54766. "ph": "X",
  54767. "cat": "Op",
  54768. "name": "MEMCPYHtoD",
  54769. "pid": 21,
  54770. "tid": 0,
  54771. "ts": 1539815917559980,
  54772. "dur": 2,
  54773. "args": {
  54774. "name": "unknown",
  54775. "op": "MEMCPYHtoD"
  54776. }
  54777. },
  54778. {
  54779. "ph": "X",
  54780. "cat": "Op",
  54781. "name": "MEMCPYHtoD",
  54782. "pid": 21,
  54783. "tid": 0,
  54784. "ts": 1539815917559990,
  54785. "dur": 1,
  54786. "args": {
  54787. "name": "unknown",
  54788. "op": "MEMCPYHtoD"
  54789. }
  54790. },
  54791. {
  54792. "ph": "X",
  54793. "cat": "Op",
  54794. "name": "MEMCPYHtoD",
  54795. "pid": 21,
  54796. "tid": 0,
  54797. "ts": 1539815917559999,
  54798. "dur": 2,
  54799. "args": {
  54800. "name": "unknown",
  54801. "op": "MEMCPYHtoD"
  54802. }
  54803. },
  54804. {
  54805. "ph": "X",
  54806. "cat": "Op",
  54807. "name": "Cast",
  54808. "pid": 23,
  54809. "tid": 0,
  54810. "ts": 1539815912107271,
  54811. "dur": 8,
  54812. "args": {
  54813. "name": "tower_2/Cast",
  54814. "op": "Cast"
  54815. }
  54816. },
  54817. {
  54818. "ph": "X",
  54819. "cat": "Op",
  54820. "name": "Cast",
  54821. "pid": 23,
  54822. "tid": 0,
  54823. "ts": 1539815912107384,
  54824. "dur": 3,
  54825. "args": {
  54826. "name": "tower_2/Cast_1",
  54827. "op": "Cast"
  54828. }
  54829. },
  54830. {
  54831. "ph": "X",
  54832. "cat": "Op",
  54833. "name": "Cast",
  54834. "pid": 23,
  54835. "tid": 0,
  54836. "ts": 1539815912107474,
  54837. "dur": 4,
  54838. "args": {
  54839. "name": "tower_2/loss/activation_1_loss/Cast",
  54840. "op": "Cast"
  54841. }
  54842. },
  54843. {
  54844. "ph": "X",
  54845. "cat": "Op",
  54846. "name": "FusedBatchNorm",
  54847. "pid": 23,
  54848. "tid": 0,
  54849. "ts": 1539815916895212,
  54850. "dur": 163,
  54851. "args": {
  54852. "name": "tower_2/batch_normalization/FusedBatchNorm",
  54853. "op": "FusedBatchNorm"
  54854. }
  54855. },
  54856. {
  54857. "ph": "X",
  54858. "cat": "Op",
  54859. "name": "Sub",
  54860. "pid": 23,
  54861. "tid": 0,
  54862. "ts": 1539815916895393,
  54863. "dur": 4,
  54864. "args": {
  54865. "name": "tower_2/batch_normalization/AssignMovingAvg/sub_1",
  54866. "op": "Sub"
  54867. }
  54868. },
  54869. {
  54870. "ph": "X",
  54871. "cat": "Op",
  54872. "name": "Sub",
  54873. "pid": 23,
  54874. "tid": 0,
  54875. "ts": 1539815916895427,
  54876. "dur": 3,
  54877. "args": {
  54878. "name": "tower_2/batch_normalization/AssignMovingAvg_1/sub_1",
  54879. "op": "Sub"
  54880. }
  54881. },
  54882. {
  54883. "ph": "X",
  54884. "cat": "Op",
  54885. "name": "Conv2D",
  54886. "pid": 23,
  54887. "tid": 0,
  54888. "ts": 1539815916895512,
  54889. "dur": 5,
  54890. "args": {
  54891. "name": "tower_2/conv2d/Conv2D",
  54892. "op": "Conv2D"
  54893. }
  54894. },
  54895. {
  54896. "ph": "X",
  54897. "cat": "Op",
  54898. "name": "Conv2D",
  54899. "pid": 23,
  54900. "tid": 0,
  54901. "ts": 1539815916897999,
  54902. "dur": 260,
  54903. "args": {
  54904. "name": "tower_2/conv2d/Conv2D",
  54905. "op": "Conv2D"
  54906. }
  54907. },
  54908. {
  54909. "ph": "X",
  54910. "cat": "Op",
  54911. "name": "Conv2D",
  54912. "pid": 23,
  54913. "tid": 0,
  54914. "ts": 1539815916898312,
  54915. "dur": 263,
  54916. "args": {
  54917. "name": "tower_2/conv2d/Conv2D",
  54918. "op": "Conv2D"
  54919. }
  54920. },
  54921. {
  54922. "ph": "X",
  54923. "cat": "Op",
  54924. "name": "Conv2D",
  54925. "pid": 23,
  54926. "tid": 0,
  54927. "ts": 1539815916903463,
  54928. "dur": 4,
  54929. "args": {
  54930. "name": "tower_2/conv2d/Conv2D",
  54931. "op": "Conv2D"
  54932. }
  54933. },
  54934. {
  54935. "ph": "X",
  54936. "cat": "Op",
  54937. "name": "Conv2D",
  54938. "pid": 23,
  54939. "tid": 0,
  54940. "ts": 1539815916903489,
  54941. "dur": 110,
  54942. "args": {
  54943. "name": "tower_2/conv2d/Conv2D",
  54944. "op": "Conv2D"
  54945. }
  54946. },
  54947. {
  54948. "ph": "X",
  54949. "cat": "Op",
  54950. "name": "Conv2D",
  54951. "pid": 23,
  54952. "tid": 0,
  54953. "ts": 1539815916903670,
  54954. "dur": 4,
  54955. "args": {
  54956. "name": "tower_2/conv2d/Conv2D",
  54957. "op": "Conv2D"
  54958. }
  54959. },
  54960. {
  54961. "ph": "X",
  54962. "cat": "Op",
  54963. "name": "Conv2D",
  54964. "pid": 23,
  54965. "tid": 0,
  54966. "ts": 1539815916903685,
  54967. "dur": 105,
  54968. "args": {
  54969. "name": "tower_2/conv2d/Conv2D",
  54970. "op": "Conv2D"
  54971. }
  54972. },
  54973. {
  54974. "ph": "X",
  54975. "cat": "Op",
  54976. "name": "Conv2D",
  54977. "pid": 23,
  54978. "tid": 0,
  54979. "ts": 1539815916903840,
  54980. "dur": 35,
  54981. "args": {
  54982. "name": "tower_2/conv2d/Conv2D",
  54983. "op": "Conv2D"
  54984. }
  54985. },
  54986. {
  54987. "ph": "X",
  54988. "cat": "Op",
  54989. "name": "Conv2D",
  54990. "pid": 23,
  54991. "tid": 0,
  54992. "ts": 1539815916903885,
  54993. "dur": 239,
  54994. "args": {
  54995. "name": "tower_2/conv2d/Conv2D",
  54996. "op": "Conv2D"
  54997. }
  54998. },
  54999. {
  55000. "ph": "X",
  55001. "cat": "Op",
  55002. "name": "Conv2D",
  55003. "pid": 23,
  55004. "tid": 0,
  55005. "ts": 1539815916904180,
  55006. "dur": 37,
  55007. "args": {
  55008. "name": "tower_2/conv2d/Conv2D",
  55009. "op": "Conv2D"
  55010. }
  55011. },
  55012. {
  55013. "ph": "X",
  55014. "cat": "Op",
  55015. "name": "Conv2D",
  55016. "pid": 23,
  55017. "tid": 0,
  55018. "ts": 1539815916904221,
  55019. "dur": 241,
  55020. "args": {
  55021. "name": "tower_2/conv2d/Conv2D",
  55022. "op": "Conv2D"
  55023. }
  55024. },
  55025. {
  55026. "ph": "X",
  55027. "cat": "Op",
  55028. "name": "Conv2D",
  55029. "pid": 23,
  55030. "tid": 0,
  55031. "ts": 1539815916904602,
  55032. "dur": 4,
  55033. "args": {
  55034. "name": "tower_2/conv2d/Conv2D",
  55035. "op": "Conv2D"
  55036. }
  55037. },
  55038. {
  55039. "ph": "X",
  55040. "cat": "Op",
  55041. "name": "Conv2D",
  55042. "pid": 23,
  55043. "tid": 0,
  55044. "ts": 1539815916904622,
  55045. "dur": 16,
  55046. "args": {
  55047. "name": "tower_2/conv2d/Conv2D",
  55048. "op": "Conv2D"
  55049. }
  55050. },
  55051. {
  55052. "ph": "X",
  55053. "cat": "Op",
  55054. "name": "Conv2D",
  55055. "pid": 23,
  55056. "tid": 0,
  55057. "ts": 1539815916904689,
  55058. "dur": 4,
  55059. "args": {
  55060. "name": "tower_2/conv2d/Conv2D",
  55061. "op": "Conv2D"
  55062. }
  55063. },
  55064. {
  55065. "ph": "X",
  55066. "cat": "Op",
  55067. "name": "Conv2D",
  55068. "pid": 23,
  55069. "tid": 0,
  55070. "ts": 1539815916905398,
  55071. "dur": 111,
  55072. "args": {
  55073. "name": "tower_2/conv2d/Conv2D",
  55074. "op": "Conv2D"
  55075. }
  55076. },
  55077. {
  55078. "ph": "X",
  55079. "cat": "Op",
  55080. "name": "Conv2D",
  55081. "pid": 23,
  55082. "tid": 0,
  55083. "ts": 1539815916905514,
  55084. "dur": 185,
  55085. "args": {
  55086. "name": "tower_2/conv2d/Conv2D",
  55087. "op": "Conv2D"
  55088. }
  55089. },
  55090. {
  55091. "ph": "X",
  55092. "cat": "Op",
  55093. "name": "Conv2D",
  55094. "pid": 23,
  55095. "tid": 0,
  55096. "ts": 1539815916905755,
  55097. "dur": 4,
  55098. "args": {
  55099. "name": "tower_2/conv2d/Conv2D",
  55100. "op": "Conv2D"
  55101. }
  55102. },
  55103. {
  55104. "ph": "X",
  55105. "cat": "Op",
  55106. "name": "Conv2D",
  55107. "pid": 23,
  55108. "tid": 0,
  55109. "ts": 1539815916905768,
  55110. "dur": 16,
  55111. "args": {
  55112. "name": "tower_2/conv2d/Conv2D",
  55113. "op": "Conv2D"
  55114. }
  55115. },
  55116. {
  55117. "ph": "X",
  55118. "cat": "Op",
  55119. "name": "Conv2D",
  55120. "pid": 23,
  55121. "tid": 0,
  55122. "ts": 1539815916905812,
  55123. "dur": 5,
  55124. "args": {
  55125. "name": "tower_2/conv2d/Conv2D",
  55126. "op": "Conv2D"
  55127. }
  55128. },
  55129. {
  55130. "ph": "X",
  55131. "cat": "Op",
  55132. "name": "Conv2D",
  55133. "pid": 23,
  55134. "tid": 0,
  55135. "ts": 1539815916905820,
  55136. "dur": 108,
  55137. "args": {
  55138. "name": "tower_2/conv2d/Conv2D",
  55139. "op": "Conv2D"
  55140. }
  55141. },
  55142. {
  55143. "ph": "X",
  55144. "cat": "Op",
  55145. "name": "Conv2D",
  55146. "pid": 23,
  55147. "tid": 0,
  55148. "ts": 1539815916905932,
  55149. "dur": 188,
  55150. "args": {
  55151. "name": "tower_2/conv2d/Conv2D",
  55152. "op": "Conv2D"
  55153. }
  55154. },
  55155. {
  55156. "ph": "X",
  55157. "cat": "Op",
  55158. "name": "Conv2D",
  55159. "pid": 23,
  55160. "tid": 0,
  55161. "ts": 1539815916906199,
  55162. "dur": 16,
  55163. "args": {
  55164. "name": "tower_2/conv2d/Conv2D",
  55165. "op": "Conv2D"
  55166. }
  55167. },
  55168. {
  55169. "ph": "X",
  55170. "cat": "Op",
  55171. "name": "Conv2D",
  55172. "pid": 23,
  55173. "tid": 0,
  55174. "ts": 1539815916907332,
  55175. "dur": 16,
  55176. "args": {
  55177. "name": "tower_2/conv2d/Conv2D",
  55178. "op": "Conv2D"
  55179. }
  55180. },
  55181. {
  55182. "ph": "X",
  55183. "cat": "Op",
  55184. "name": "Conv2D",
  55185. "pid": 23,
  55186. "tid": 0,
  55187. "ts": 1539815916907741,
  55188. "dur": 28,
  55189. "args": {
  55190. "name": "tower_2/conv2d/Conv2D",
  55191. "op": "Conv2D"
  55192. }
  55193. },
  55194. {
  55195. "ph": "X",
  55196. "cat": "Op",
  55197. "name": "Conv2D",
  55198. "pid": 23,
  55199. "tid": 0,
  55200. "ts": 1539815916907774,
  55201. "dur": 5,
  55202. "args": {
  55203. "name": "tower_2/conv2d/Conv2D",
  55204. "op": "Conv2D"
  55205. }
  55206. },
  55207. {
  55208. "ph": "X",
  55209. "cat": "Op",
  55210. "name": "Conv2D",
  55211. "pid": 23,
  55212. "tid": 0,
  55213. "ts": 1539815916907782,
  55214. "dur": 239,
  55215. "args": {
  55216. "name": "tower_2/conv2d/Conv2D",
  55217. "op": "Conv2D"
  55218. }
  55219. },
  55220. {
  55221. "ph": "X",
  55222. "cat": "Op",
  55223. "name": "Conv2D",
  55224. "pid": 23,
  55225. "tid": 0,
  55226. "ts": 1539815916908025,
  55227. "dur": 569,
  55228. "args": {
  55229. "name": "tower_2/conv2d/Conv2D",
  55230. "op": "Conv2D"
  55231. }
  55232. },
  55233. {
  55234. "ph": "X",
  55235. "cat": "Op",
  55236. "name": "Conv2D",
  55237. "pid": 23,
  55238. "tid": 0,
  55239. "ts": 1539815916908638,
  55240. "dur": 27,
  55241. "args": {
  55242. "name": "tower_2/conv2d/Conv2D",
  55243. "op": "Conv2D"
  55244. }
  55245. },
  55246. {
  55247. "ph": "X",
  55248. "cat": "Op",
  55249. "name": "Conv2D",
  55250. "pid": 23,
  55251. "tid": 0,
  55252. "ts": 1539815916908670,
  55253. "dur": 6,
  55254. "args": {
  55255. "name": "tower_2/conv2d/Conv2D",
  55256. "op": "Conv2D"
  55257. }
  55258. },
  55259. {
  55260. "ph": "X",
  55261. "cat": "Op",
  55262. "name": "Conv2D",
  55263. "pid": 23,
  55264. "tid": 0,
  55265. "ts": 1539815916908679,
  55266. "dur": 239,
  55267. "args": {
  55268. "name": "tower_2/conv2d/Conv2D",
  55269. "op": "Conv2D"
  55270. }
  55271. },
  55272. {
  55273. "ph": "X",
  55274. "cat": "Op",
  55275. "name": "Conv2D",
  55276. "pid": 23,
  55277. "tid": 0,
  55278. "ts": 1539815916908923,
  55279. "dur": 573,
  55280. "args": {
  55281. "name": "tower_2/conv2d/Conv2D",
  55282. "op": "Conv2D"
  55283. }
  55284. },
  55285. {
  55286. "ph": "X",
  55287. "cat": "Op",
  55288. "name": "Conv2D",
  55289. "pid": 23,
  55290. "tid": 0,
  55291. "ts": 1539815916910668,
  55292. "dur": 4,
  55293. "args": {
  55294. "name": "tower_2/conv2d/Conv2D",
  55295. "op": "Conv2D"
  55296. }
  55297. },
  55298. {
  55299. "ph": "X",
  55300. "cat": "Op",
  55301. "name": "Conv2D",
  55302. "pid": 23,
  55303. "tid": 0,
  55304. "ts": 1539815916910701,
  55305. "dur": 104,
  55306. "args": {
  55307. "name": "tower_2/conv2d/Conv2D",
  55308. "op": "Conv2D"
  55309. }
  55310. },
  55311. {
  55312. "ph": "X",
  55313. "cat": "Op",
  55314. "name": "Mul",
  55315. "pid": 23,
  55316. "tid": 0,
  55317. "ts": 1539815916910828,
  55318. "dur": 4,
  55319. "args": {
  55320. "name": "tower_2/batch_normalization/AssignMovingAvg/mul",
  55321. "op": "Mul"
  55322. }
  55323. },
  55324. {
  55325. "ph": "X",
  55326. "cat": "Op",
  55327. "name": "Mul",
  55328. "pid": 23,
  55329. "tid": 0,
  55330. "ts": 1539815916910861,
  55331. "dur": 3,
  55332. "args": {
  55333. "name": "tower_2/batch_normalization/AssignMovingAvg_1/mul",
  55334. "op": "Mul"
  55335. }
  55336. },
  55337. {
  55338. "ph": "X",
  55339. "cat": "Op",
  55340. "name": "BiasAdd",
  55341. "pid": 23,
  55342. "tid": 0,
  55343. "ts": 1539815916910900,
  55344. "dur": 165,
  55345. "args": {
  55346. "name": "tower_2/conv2d/BiasAdd",
  55347. "op": "BiasAdd"
  55348. }
  55349. },
  55350. {
  55351. "ph": "X",
  55352. "cat": "Op",
  55353. "name": "AssignSubVariableOp",
  55354. "pid": 23,
  55355. "tid": 0,
  55356. "ts": 1539815916913155,
  55357. "dur": 3,
  55358. "args": {
  55359. "name": "tower_2/batch_normalization/AssignMovingAvg/AssignSubVariableOp",
  55360. "op": "AssignSubVariableOp"
  55361. }
  55362. },
  55363. {
  55364. "ph": "X",
  55365. "cat": "Op",
  55366. "name": "AssignSubVariableOp",
  55367. "pid": 23,
  55368. "tid": 0,
  55369. "ts": 1539815916913230,
  55370. "dur": 3,
  55371. "args": {
  55372. "name": "tower_2/batch_normalization/AssignMovingAvg_1/AssignSubVariableOp",
  55373. "op": "AssignSubVariableOp"
  55374. }
  55375. },
  55376. {
  55377. "ph": "X",
  55378. "cat": "Op",
  55379. "name": "Elu",
  55380. "pid": 23,
  55381. "tid": 0,
  55382. "ts": 1539815916913266,
  55383. "dur": 138,
  55384. "args": {
  55385. "name": "tower_2/conv2d/Elu",
  55386. "op": "Elu"
  55387. }
  55388. },
  55389. {
  55390. "ph": "X",
  55391. "cat": "Op",
  55392. "name": "MaxPool",
  55393. "pid": 23,
  55394. "tid": 0,
  55395. "ts": 1539815916915060,
  55396. "dur": 101,
  55397. "args": {
  55398. "name": "tower_2/max_pooling2d/MaxPool",
  55399. "op": "MaxPool"
  55400. }
  55401. },
  55402. {
  55403. "ph": "X",
  55404. "cat": "Op",
  55405. "name": "Mul",
  55406. "pid": 23,
  55407. "tid": 0,
  55408. "ts": 1539815916915164,
  55409. "dur": 33,
  55410. "args": {
  55411. "name": "tower_2/dropout/dropout/div",
  55412. "op": "Mul"
  55413. }
  55414. },
  55415. {
  55416. "ph": "X",
  55417. "cat": "Op",
  55418. "name": "RandomUniform",
  55419. "pid": 23,
  55420. "tid": 0,
  55421. "ts": 1539815916915224,
  55422. "dur": 22,
  55423. "args": {
  55424. "name": "tower_2/dropout/dropout/random_uniform/RandomUniform",
  55425. "op": "RandomUniform"
  55426. }
  55427. },
  55428. {
  55429. "ph": "X",
  55430. "cat": "Op",
  55431. "name": "Add",
  55432. "pid": 23,
  55433. "tid": 0,
  55434. "ts": 1539815916915257,
  55435. "dur": 34,
  55436. "args": {
  55437. "name": "tower_2/dropout/dropout/add",
  55438. "op": "Add"
  55439. }
  55440. },
  55441. {
  55442. "ph": "X",
  55443. "cat": "Op",
  55444. "name": "Floor",
  55445. "pid": 23,
  55446. "tid": 0,
  55447. "ts": 1539815916915296,
  55448. "dur": 35,
  55449. "args": {
  55450. "name": "tower_2/dropout/dropout/Floor",
  55451. "op": "Floor"
  55452. }
  55453. },
  55454. {
  55455. "ph": "X",
  55456. "cat": "Op",
  55457. "name": "Transpose",
  55458. "pid": 23,
  55459. "tid": 0,
  55460. "ts": 1539815916918211,
  55461. "dur": 39,
  55462. "args": {
  55463. "name": "tower_2/dropout/dropout/mul-1-TransposeNHWCToNCHW-LayoutOptimizer",
  55464. "op": "Transpose"
  55465. }
  55466. },
  55467. {
  55468. "ph": "X",
  55469. "cat": "Op",
  55470. "name": "Mul",
  55471. "pid": 23,
  55472. "tid": 0,
  55473. "ts": 1539815916918284,
  55474. "dur": 51,
  55475. "args": {
  55476. "name": "tower_2/dropout/dropout/mul",
  55477. "op": "Mul"
  55478. }
  55479. },
  55480. {
  55481. "ph": "X",
  55482. "cat": "Op",
  55483. "name": "FusedBatchNorm",
  55484. "pid": 23,
  55485. "tid": 0,
  55486. "ts": 1539815916918380,
  55487. "dur": 95,
  55488. "args": {
  55489. "name": "tower_2/batch_normalization_1/FusedBatchNorm",
  55490. "op": "FusedBatchNorm"
  55491. }
  55492. },
  55493. {
  55494. "ph": "X",
  55495. "cat": "Op",
  55496. "name": "Sub",
  55497. "pid": 23,
  55498. "tid": 0,
  55499. "ts": 1539815916918479,
  55500. "dur": 4,
  55501. "args": {
  55502. "name": "tower_2/batch_normalization_1/AssignMovingAvg/sub_1",
  55503. "op": "Sub"
  55504. }
  55505. },
  55506. {
  55507. "ph": "X",
  55508. "cat": "Op",
  55509. "name": "Sub",
  55510. "pid": 23,
  55511. "tid": 0,
  55512. "ts": 1539815916918486,
  55513. "dur": 3,
  55514. "args": {
  55515. "name": "tower_2/batch_normalization_1/AssignMovingAvg_1/sub_1",
  55516. "op": "Sub"
  55517. }
  55518. },
  55519. {
  55520. "ph": "X",
  55521. "cat": "Op",
  55522. "name": "Conv2D",
  55523. "pid": 23,
  55524. "tid": 0,
  55525. "ts": 1539815916918501,
  55526. "dur": 9,
  55527. "args": {
  55528. "name": "tower_2/conv2d_1/Conv2D",
  55529. "op": "Conv2D"
  55530. }
  55531. },
  55532. {
  55533. "ph": "X",
  55534. "cat": "Op",
  55535. "name": "Conv2D",
  55536. "pid": 23,
  55537. "tid": 0,
  55538. "ts": 1539815916918562,
  55539. "dur": 2137,
  55540. "args": {
  55541. "name": "tower_2/conv2d_1/Conv2D",
  55542. "op": "Conv2D"
  55543. }
  55544. },
  55545. {
  55546. "ph": "X",
  55547. "cat": "Op",
  55548. "name": "Conv2D",
  55549. "pid": 23,
  55550. "tid": 0,
  55551. "ts": 1539815916920751,
  55552. "dur": 2134,
  55553. "args": {
  55554. "name": "tower_2/conv2d_1/Conv2D",
  55555. "op": "Conv2D"
  55556. }
  55557. },
  55558. {
  55559. "ph": "X",
  55560. "cat": "Op",
  55561. "name": "Conv2D",
  55562. "pid": 23,
  55563. "tid": 0,
  55564. "ts": 1539815916922963,
  55565. "dur": 4,
  55566. "args": {
  55567. "name": "tower_2/conv2d_1/Conv2D",
  55568. "op": "Conv2D"
  55569. }
  55570. },
  55571. {
  55572. "ph": "X",
  55573. "cat": "Op",
  55574. "name": "Conv2D",
  55575. "pid": 23,
  55576. "tid": 0,
  55577. "ts": 1539815916922980,
  55578. "dur": 1603,
  55579. "args": {
  55580. "name": "tower_2/conv2d_1/Conv2D",
  55581. "op": "Conv2D"
  55582. }
  55583. },
  55584. {
  55585. "ph": "X",
  55586. "cat": "Op",
  55587. "name": "Conv2D",
  55588. "pid": 23,
  55589. "tid": 0,
  55590. "ts": 1539815916924637,
  55591. "dur": 4,
  55592. "args": {
  55593. "name": "tower_2/conv2d_1/Conv2D",
  55594. "op": "Conv2D"
  55595. }
  55596. },
  55597. {
  55598. "ph": "X",
  55599. "cat": "Op",
  55600. "name": "Conv2D",
  55601. "pid": 23,
  55602. "tid": 0,
  55603. "ts": 1539815916924651,
  55604. "dur": 1926,
  55605. "args": {
  55606. "name": "tower_2/conv2d_1/Conv2D",
  55607. "op": "Conv2D"
  55608. }
  55609. },
  55610. {
  55611. "ph": "X",
  55612. "cat": "Op",
  55613. "name": "Conv2D",
  55614. "pid": 23,
  55615. "tid": 0,
  55616. "ts": 1539815916926624,
  55617. "dur": 602,
  55618. "args": {
  55619. "name": "tower_2/conv2d_1/Conv2D",
  55620. "op": "Conv2D"
  55621. }
  55622. },
  55623. {
  55624. "ph": "X",
  55625. "cat": "Op",
  55626. "name": "Conv2D",
  55627. "pid": 23,
  55628. "tid": 0,
  55629. "ts": 1539815916927237,
  55630. "dur": 1970,
  55631. "args": {
  55632. "name": "tower_2/conv2d_1/Conv2D",
  55633. "op": "Conv2D"
  55634. }
  55635. },
  55636. {
  55637. "ph": "X",
  55638. "cat": "Op",
  55639. "name": "Conv2D",
  55640. "pid": 23,
  55641. "tid": 0,
  55642. "ts": 1539815916929257,
  55643. "dur": 603,
  55644. "args": {
  55645. "name": "tower_2/conv2d_1/Conv2D",
  55646. "op": "Conv2D"
  55647. }
  55648. },
  55649. {
  55650. "ph": "X",
  55651. "cat": "Op",
  55652. "name": "Conv2D",
  55653. "pid": 23,
  55654. "tid": 0,
  55655. "ts": 1539815916929864,
  55656. "dur": 1976,
  55657. "args": {
  55658. "name": "tower_2/conv2d_1/Conv2D",
  55659. "op": "Conv2D"
  55660. }
  55661. },
  55662. {
  55663. "ph": "X",
  55664. "cat": "Op",
  55665. "name": "Conv2D",
  55666. "pid": 23,
  55667. "tid": 0,
  55668. "ts": 1539815916931913,
  55669. "dur": 17,
  55670. "args": {
  55671. "name": "tower_2/conv2d_1/Conv2D",
  55672. "op": "Conv2D"
  55673. }
  55674. },
  55675. {
  55676. "ph": "X",
  55677. "cat": "Op",
  55678. "name": "Conv2D",
  55679. "pid": 23,
  55680. "tid": 0,
  55681. "ts": 1539815916931933,
  55682. "dur": 65,
  55683. "args": {
  55684. "name": "tower_2/conv2d_1/Conv2D",
  55685. "op": "Conv2D"
  55686. }
  55687. },
  55688. {
  55689. "ph": "X",
  55690. "cat": "Op",
  55691. "name": "Conv2D",
  55692. "pid": 23,
  55693. "tid": 0,
  55694. "ts": 1539815916932170,
  55695. "dur": 4,
  55696. "args": {
  55697. "name": "tower_2/conv2d_1/Conv2D",
  55698. "op": "Conv2D"
  55699. }
  55700. },
  55701. {
  55702. "ph": "X",
  55703. "cat": "Op",
  55704. "name": "Conv2D",
  55705. "pid": 23,
  55706. "tid": 0,
  55707. "ts": 1539815916932178,
  55708. "dur": 767,
  55709. "args": {
  55710. "name": "tower_2/conv2d_1/Conv2D",
  55711. "op": "Conv2D"
  55712. }
  55713. },
  55714. {
  55715. "ph": "X",
  55716. "cat": "Op",
  55717. "name": "Conv2D",
  55718. "pid": 23,
  55719. "tid": 0,
  55720. "ts": 1539815916932950,
  55721. "dur": 261,
  55722. "args": {
  55723. "name": "tower_2/conv2d_1/Conv2D",
  55724. "op": "Conv2D"
  55725. }
  55726. },
  55727. {
  55728. "ph": "X",
  55729. "cat": "Op",
  55730. "name": "Conv2D",
  55731. "pid": 23,
  55732. "tid": 0,
  55733. "ts": 1539815916933259,
  55734. "dur": 17,
  55735. "args": {
  55736. "name": "tower_2/conv2d_1/Conv2D",
  55737. "op": "Conv2D"
  55738. }
  55739. },
  55740. {
  55741. "ph": "X",
  55742. "cat": "Op",
  55743. "name": "Conv2D",
  55744. "pid": 23,
  55745. "tid": 0,
  55746. "ts": 1539815916933280,
  55747. "dur": 65,
  55748. "args": {
  55749. "name": "tower_2/conv2d_1/Conv2D",
  55750. "op": "Conv2D"
  55751. }
  55752. },
  55753. {
  55754. "ph": "X",
  55755. "cat": "Op",
  55756. "name": "Conv2D",
  55757. "pid": 23,
  55758. "tid": 0,
  55759. "ts": 1539815916933514,
  55760. "dur": 4,
  55761. "args": {
  55762. "name": "tower_2/conv2d_1/Conv2D",
  55763. "op": "Conv2D"
  55764. }
  55765. },
  55766. {
  55767. "ph": "X",
  55768. "cat": "Op",
  55769. "name": "Conv2D",
  55770. "pid": 23,
  55771. "tid": 0,
  55772. "ts": 1539815916933522,
  55773. "dur": 764,
  55774. "args": {
  55775. "name": "tower_2/conv2d_1/Conv2D",
  55776. "op": "Conv2D"
  55777. }
  55778. },
  55779. {
  55780. "ph": "X",
  55781. "cat": "Op",
  55782. "name": "Conv2D",
  55783. "pid": 23,
  55784. "tid": 0,
  55785. "ts": 1539815916934291,
  55786. "dur": 260,
  55787. "args": {
  55788. "name": "tower_2/conv2d_1/Conv2D",
  55789. "op": "Conv2D"
  55790. }
  55791. },
  55792. {
  55793. "ph": "X",
  55794. "cat": "Op",
  55795. "name": "Conv2D",
  55796. "pid": 23,
  55797. "tid": 0,
  55798. "ts": 1539815916934625,
  55799. "dur": 67,
  55800. "args": {
  55801. "name": "tower_2/conv2d_1/Conv2D",
  55802. "op": "Conv2D"
  55803. }
  55804. },
  55805. {
  55806. "ph": "X",
  55807. "cat": "Op",
  55808. "name": "Conv2D",
  55809. "pid": 23,
  55810. "tid": 0,
  55811. "ts": 1539815916935841,
  55812. "dur": 68,
  55813. "args": {
  55814. "name": "tower_2/conv2d_1/Conv2D",
  55815. "op": "Conv2D"
  55816. }
  55817. },
  55818. {
  55819. "ph": "X",
  55820. "cat": "Op",
  55821. "name": "Conv2D",
  55822. "pid": 23,
  55823. "tid": 0,
  55824. "ts": 1539815916937043,
  55825. "dur": 172,
  55826. "args": {
  55827. "name": "tower_2/conv2d_1/Conv2D",
  55828. "op": "Conv2D"
  55829. }
  55830. },
  55831. {
  55832. "ph": "X",
  55833. "cat": "Op",
  55834. "name": "Conv2D",
  55835. "pid": 23,
  55836. "tid": 0,
  55837. "ts": 1539815916937218,
  55838. "dur": 16,
  55839. "args": {
  55840. "name": "tower_2/conv2d_1/Conv2D",
  55841. "op": "Conv2D"
  55842. }
  55843. },
  55844. {
  55845. "ph": "X",
  55846. "cat": "Op",
  55847. "name": "Conv2D",
  55848. "pid": 23,
  55849. "tid": 0,
  55850. "ts": 1539815916937238,
  55851. "dur": 248,
  55852. "args": {
  55853. "name": "tower_2/conv2d_1/Conv2D",
  55854. "op": "Conv2D"
  55855. }
  55856. },
  55857. {
  55858. "ph": "X",
  55859. "cat": "Op",
  55860. "name": "Conv2D",
  55861. "pid": 23,
  55862. "tid": 0,
  55863. "ts": 1539815916937490,
  55864. "dur": 283,
  55865. "args": {
  55866. "name": "tower_2/conv2d_1/Conv2D",
  55867. "op": "Conv2D"
  55868. }
  55869. },
  55870. {
  55871. "ph": "X",
  55872. "cat": "Op",
  55873. "name": "Conv2D",
  55874. "pid": 23,
  55875. "tid": 0,
  55876. "ts": 1539815916937817,
  55877. "dur": 176,
  55878. "args": {
  55879. "name": "tower_2/conv2d_1/Conv2D",
  55880. "op": "Conv2D"
  55881. }
  55882. },
  55883. {
  55884. "ph": "X",
  55885. "cat": "Op",
  55886. "name": "Conv2D",
  55887. "pid": 23,
  55888. "tid": 0,
  55889. "ts": 1539815916937996,
  55890. "dur": 16,
  55891. "args": {
  55892. "name": "tower_2/conv2d_1/Conv2D",
  55893. "op": "Conv2D"
  55894. }
  55895. },
  55896. {
  55897. "ph": "X",
  55898. "cat": "Op",
  55899. "name": "Conv2D",
  55900. "pid": 23,
  55901. "tid": 0,
  55902. "ts": 1539815916938017,
  55903. "dur": 248,
  55904. "args": {
  55905. "name": "tower_2/conv2d_1/Conv2D",
  55906. "op": "Conv2D"
  55907. }
  55908. },
  55909. {
  55910. "ph": "X",
  55911. "cat": "Op",
  55912. "name": "Conv2D",
  55913. "pid": 23,
  55914. "tid": 0,
  55915. "ts": 1539815916938268,
  55916. "dur": 281,
  55917. "args": {
  55918. "name": "tower_2/conv2d_1/Conv2D",
  55919. "op": "Conv2D"
  55920. }
  55921. },
  55922. {
  55923. "ph": "X",
  55924. "cat": "Op",
  55925. "name": "Conv2D",
  55926. "pid": 23,
  55927. "tid": 0,
  55928. "ts": 1539815916938591,
  55929. "dur": 173,
  55930. "args": {
  55931. "name": "tower_2/conv2d_1/Conv2D",
  55932. "op": "Conv2D"
  55933. }
  55934. },
  55935. {
  55936. "ph": "X",
  55937. "cat": "Op",
  55938. "name": "Conv2D",
  55939. "pid": 23,
  55940. "tid": 0,
  55941. "ts": 1539815916938767,
  55942. "dur": 16,
  55943. "args": {
  55944. "name": "tower_2/conv2d_1/Conv2D",
  55945. "op": "Conv2D"
  55946. }
  55947. },
  55948. {
  55949. "ph": "X",
  55950. "cat": "Op",
  55951. "name": "Conv2D",
  55952. "pid": 23,
  55953. "tid": 0,
  55954. "ts": 1539815916938788,
  55955. "dur": 247,
  55956. "args": {
  55957. "name": "tower_2/conv2d_1/Conv2D",
  55958. "op": "Conv2D"
  55959. }
  55960. },
  55961. {
  55962. "ph": "X",
  55963. "cat": "Op",
  55964. "name": "Conv2D",
  55965. "pid": 23,
  55966. "tid": 0,
  55967. "ts": 1539815916939039,
  55968. "dur": 286,
  55969. "args": {
  55970. "name": "tower_2/conv2d_1/Conv2D",
  55971. "op": "Conv2D"
  55972. }
  55973. },
  55974. {
  55975. "ph": "X",
  55976. "cat": "Op",
  55977. "name": "Mul",
  55978. "pid": 23,
  55979. "tid": 0,
  55980. "ts": 1539815916939328,
  55981. "dur": 4,
  55982. "args": {
  55983. "name": "tower_2/batch_normalization_1/AssignMovingAvg/mul",
  55984. "op": "Mul"
  55985. }
  55986. },
  55987. {
  55988. "ph": "X",
  55989. "cat": "Op",
  55990. "name": "Mul",
  55991. "pid": 23,
  55992. "tid": 0,
  55993. "ts": 1539815916939335,
  55994. "dur": 3,
  55995. "args": {
  55996. "name": "tower_2/batch_normalization_1/AssignMovingAvg_1/mul",
  55997. "op": "Mul"
  55998. }
  55999. },
  56000. {
  56001. "ph": "X",
  56002. "cat": "Op",
  56003. "name": "BiasAdd",
  56004. "pid": 23,
  56005. "tid": 0,
  56006. "ts": 1539815916939343,
  56007. "dur": 83,
  56008. "args": {
  56009. "name": "tower_2/conv2d_1/BiasAdd",
  56010. "op": "BiasAdd"
  56011. }
  56012. },
  56013. {
  56014. "ph": "X",
  56015. "cat": "Op",
  56016. "name": "AssignSubVariableOp",
  56017. "pid": 23,
  56018. "tid": 0,
  56019. "ts": 1539815916939437,
  56020. "dur": 3,
  56021. "args": {
  56022. "name": "tower_2/batch_normalization_1/AssignMovingAvg/AssignSubVariableOp",
  56023. "op": "AssignSubVariableOp"
  56024. }
  56025. },
  56026. {
  56027. "ph": "X",
  56028. "cat": "Op",
  56029. "name": "AssignSubVariableOp",
  56030. "pid": 23,
  56031. "tid": 0,
  56032. "ts": 1539815916939449,
  56033. "dur": 3,
  56034. "args": {
  56035. "name": "tower_2/batch_normalization_1/AssignMovingAvg_1/AssignSubVariableOp",
  56036. "op": "AssignSubVariableOp"
  56037. }
  56038. },
  56039. {
  56040. "ph": "X",
  56041. "cat": "Op",
  56042. "name": "Elu",
  56043. "pid": 23,
  56044. "tid": 0,
  56045. "ts": 1539815916939455,
  56046. "dur": 71,
  56047. "args": {
  56048. "name": "tower_2/conv2d_1/Elu",
  56049. "op": "Elu"
  56050. }
  56051. },
  56052. {
  56053. "ph": "X",
  56054. "cat": "Op",
  56055. "name": "MaxPool",
  56056. "pid": 23,
  56057. "tid": 0,
  56058. "ts": 1539815916939530,
  56059. "dur": 57,
  56060. "args": {
  56061. "name": "tower_2/max_pooling2d_1/MaxPool",
  56062. "op": "MaxPool"
  56063. }
  56064. },
  56065. {
  56066. "ph": "X",
  56067. "cat": "Op",
  56068. "name": "Mul",
  56069. "pid": 23,
  56070. "tid": 0,
  56071. "ts": 1539815916939590,
  56072. "dur": 16,
  56073. "args": {
  56074. "name": "tower_2/dropout_1/dropout/div",
  56075. "op": "Mul"
  56076. }
  56077. },
  56078. {
  56079. "ph": "X",
  56080. "cat": "Op",
  56081. "name": "RandomUniform",
  56082. "pid": 23,
  56083. "tid": 0,
  56084. "ts": 1539815916939611,
  56085. "dur": 15,
  56086. "args": {
  56087. "name": "tower_2/dropout_1/dropout/random_uniform/RandomUniform",
  56088. "op": "RandomUniform"
  56089. }
  56090. },
  56091. {
  56092. "ph": "X",
  56093. "cat": "Op",
  56094. "name": "Add",
  56095. "pid": 23,
  56096. "tid": 0,
  56097. "ts": 1539815916939629,
  56098. "dur": 17,
  56099. "args": {
  56100. "name": "tower_2/dropout_1/dropout/add",
  56101. "op": "Add"
  56102. }
  56103. },
  56104. {
  56105. "ph": "X",
  56106. "cat": "Op",
  56107. "name": "Floor",
  56108. "pid": 23,
  56109. "tid": 0,
  56110. "ts": 1539815916939650,
  56111. "dur": 15,
  56112. "args": {
  56113. "name": "tower_2/dropout_1/dropout/Floor",
  56114. "op": "Floor"
  56115. }
  56116. },
  56117. {
  56118. "ph": "X",
  56119. "cat": "Op",
  56120. "name": "Transpose",
  56121. "pid": 23,
  56122. "tid": 0,
  56123. "ts": 1539815916939668,
  56124. "dur": 23,
  56125. "args": {
  56126. "name": "tower_2/dropout_1/dropout/mul-1-TransposeNHWCToNCHW-LayoutOptimizer",
  56127. "op": "Transpose"
  56128. }
  56129. },
  56130. {
  56131. "ph": "X",
  56132. "cat": "Op",
  56133. "name": "Mul",
  56134. "pid": 23,
  56135. "tid": 0,
  56136. "ts": 1539815916939696,
  56137. "dur": 26,
  56138. "args": {
  56139. "name": "tower_2/dropout_1/dropout/mul",
  56140. "op": "Mul"
  56141. }
  56142. },
  56143. {
  56144. "ph": "X",
  56145. "cat": "Op",
  56146. "name": "FusedBatchNorm",
  56147. "pid": 23,
  56148. "tid": 0,
  56149. "ts": 1539815916939734,
  56150. "dur": 50,
  56151. "args": {
  56152. "name": "tower_2/batch_normalization_2/FusedBatchNorm",
  56153. "op": "FusedBatchNorm"
  56154. }
  56155. },
  56156. {
  56157. "ph": "X",
  56158. "cat": "Op",
  56159. "name": "Sub",
  56160. "pid": 23,
  56161. "tid": 0,
  56162. "ts": 1539815916939787,
  56163. "dur": 4,
  56164. "args": {
  56165. "name": "tower_2/batch_normalization_2/AssignMovingAvg/sub_1",
  56166. "op": "Sub"
  56167. }
  56168. },
  56169. {
  56170. "ph": "X",
  56171. "cat": "Op",
  56172. "name": "Sub",
  56173. "pid": 23,
  56174. "tid": 0,
  56175. "ts": 1539815916939794,
  56176. "dur": 4,
  56177. "args": {
  56178. "name": "tower_2/batch_normalization_2/AssignMovingAvg_1/sub_1",
  56179. "op": "Sub"
  56180. }
  56181. },
  56182. {
  56183. "ph": "X",
  56184. "cat": "Op",
  56185. "name": "Conv2D",
  56186. "pid": 23,
  56187. "tid": 0,
  56188. "ts": 1539815916939802,
  56189. "dur": 23,
  56190. "args": {
  56191. "name": "tower_2/conv2d_2/Conv2D",
  56192. "op": "Conv2D"
  56193. }
  56194. },
  56195. {
  56196. "ph": "X",
  56197. "cat": "Op",
  56198. "name": "Conv2D",
  56199. "pid": 23,
  56200. "tid": 0,
  56201. "ts": 1539815916939833,
  56202. "dur": 1958,
  56203. "args": {
  56204. "name": "tower_2/conv2d_2/Conv2D",
  56205. "op": "Conv2D"
  56206. }
  56207. },
  56208. {
  56209. "ph": "X",
  56210. "cat": "Op",
  56211. "name": "Conv2D",
  56212. "pid": 23,
  56213. "tid": 0,
  56214. "ts": 1539815916941839,
  56215. "dur": 1955,
  56216. "args": {
  56217. "name": "tower_2/conv2d_2/Conv2D",
  56218. "op": "Conv2D"
  56219. }
  56220. },
  56221. {
  56222. "ph": "X",
  56223. "cat": "Op",
  56224. "name": "Conv2D",
  56225. "pid": 23,
  56226. "tid": 0,
  56227. "ts": 1539815916943852,
  56228. "dur": 4,
  56229. "args": {
  56230. "name": "tower_2/conv2d_2/Conv2D",
  56231. "op": "Conv2D"
  56232. }
  56233. },
  56234. {
  56235. "ph": "X",
  56236. "cat": "Op",
  56237. "name": "Conv2D",
  56238. "pid": 23,
  56239. "tid": 0,
  56240. "ts": 1539815916943868,
  56241. "dur": 1908,
  56242. "args": {
  56243. "name": "tower_2/conv2d_2/Conv2D",
  56244. "op": "Conv2D"
  56245. }
  56246. },
  56247. {
  56248. "ph": "X",
  56249. "cat": "Op",
  56250. "name": "Conv2D",
  56251. "pid": 23,
  56252. "tid": 0,
  56253. "ts": 1539815916945830,
  56254. "dur": 4,
  56255. "args": {
  56256. "name": "tower_2/conv2d_2/Conv2D",
  56257. "op": "Conv2D"
  56258. }
  56259. },
  56260. {
  56261. "ph": "X",
  56262. "cat": "Op",
  56263. "name": "Conv2D",
  56264. "pid": 23,
  56265. "tid": 0,
  56266. "ts": 1539815916945843,
  56267. "dur": 1912,
  56268. "args": {
  56269. "name": "tower_2/conv2d_2/Conv2D",
  56270. "op": "Conv2D"
  56271. }
  56272. },
  56273. {
  56274. "ph": "X",
  56275. "cat": "Op",
  56276. "name": "Conv2D",
  56277. "pid": 23,
  56278. "tid": 0,
  56279. "ts": 1539815916947805,
  56280. "dur": 293,
  56281. "args": {
  56282. "name": "tower_2/conv2d_2/Conv2D",
  56283. "op": "Conv2D"
  56284. }
  56285. },
  56286. {
  56287. "ph": "X",
  56288. "cat": "Op",
  56289. "name": "Conv2D",
  56290. "pid": 23,
  56291. "tid": 0,
  56292. "ts": 1539815916948109,
  56293. "dur": 1812,
  56294. "args": {
  56295. "name": "tower_2/conv2d_2/Conv2D",
  56296. "op": "Conv2D"
  56297. }
  56298. },
  56299. {
  56300. "ph": "X",
  56301. "cat": "Op",
  56302. "name": "Conv2D",
  56303. "pid": 23,
  56304. "tid": 0,
  56305. "ts": 1539815916949969,
  56306. "dur": 294,
  56307. "args": {
  56308. "name": "tower_2/conv2d_2/Conv2D",
  56309. "op": "Conv2D"
  56310. }
  56311. },
  56312. {
  56313. "ph": "X",
  56314. "cat": "Op",
  56315. "name": "Conv2D",
  56316. "pid": 23,
  56317. "tid": 0,
  56318. "ts": 1539815916950267,
  56319. "dur": 2079,
  56320. "args": {
  56321. "name": "tower_2/conv2d_2/Conv2D",
  56322. "op": "Conv2D"
  56323. }
  56324. },
  56325. {
  56326. "ph": "X",
  56327. "cat": "Op",
  56328. "name": "Conv2D",
  56329. "pid": 23,
  56330. "tid": 0,
  56331. "ts": 1539815916952419,
  56332. "dur": 57,
  56333. "args": {
  56334. "name": "tower_2/conv2d_2/Conv2D",
  56335. "op": "Conv2D"
  56336. }
  56337. },
  56338. {
  56339. "ph": "X",
  56340. "cat": "Op",
  56341. "name": "Conv2D",
  56342. "pid": 23,
  56343. "tid": 0,
  56344. "ts": 1539815916952555,
  56345. "dur": 64,
  56346. "args": {
  56347. "name": "tower_2/conv2d_2/Conv2D",
  56348. "op": "Conv2D"
  56349. }
  56350. },
  56351. {
  56352. "ph": "X",
  56353. "cat": "Op",
  56354. "name": "Conv2D",
  56355. "pid": 23,
  56356. "tid": 0,
  56357. "ts": 1539815916952624,
  56358. "dur": 3,
  56359. "args": {
  56360. "name": "tower_2/conv2d_2/Conv2D",
  56361. "op": "Conv2D"
  56362. }
  56363. },
  56364. {
  56365. "ph": "X",
  56366. "cat": "Op",
  56367. "name": "Conv2D",
  56368. "pid": 23,
  56369. "tid": 0,
  56370. "ts": 1539815916952631,
  56371. "dur": 788,
  56372. "args": {
  56373. "name": "tower_2/conv2d_2/Conv2D",
  56374. "op": "Conv2D"
  56375. }
  56376. },
  56377. {
  56378. "ph": "X",
  56379. "cat": "Op",
  56380. "name": "Conv2D",
  56381. "pid": 23,
  56382. "tid": 0,
  56383. "ts": 1539815916953424,
  56384. "dur": 142,
  56385. "args": {
  56386. "name": "tower_2/conv2d_2/Conv2D",
  56387. "op": "Conv2D"
  56388. }
  56389. },
  56390. {
  56391. "ph": "X",
  56392. "cat": "Op",
  56393. "name": "Conv2D",
  56394. "pid": 23,
  56395. "tid": 0,
  56396. "ts": 1539815916953613,
  56397. "dur": 57,
  56398. "args": {
  56399. "name": "tower_2/conv2d_2/Conv2D",
  56400. "op": "Conv2D"
  56401. }
  56402. },
  56403. {
  56404. "ph": "X",
  56405. "cat": "Op",
  56406. "name": "Conv2D",
  56407. "pid": 23,
  56408. "tid": 0,
  56409. "ts": 1539815916953749,
  56410. "dur": 63,
  56411. "args": {
  56412. "name": "tower_2/conv2d_2/Conv2D",
  56413. "op": "Conv2D"
  56414. }
  56415. },
  56416. {
  56417. "ph": "X",
  56418. "cat": "Op",
  56419. "name": "Conv2D",
  56420. "pid": 23,
  56421. "tid": 0,
  56422. "ts": 1539815916953817,
  56423. "dur": 4,
  56424. "args": {
  56425. "name": "tower_2/conv2d_2/Conv2D",
  56426. "op": "Conv2D"
  56427. }
  56428. },
  56429. {
  56430. "ph": "X",
  56431. "cat": "Op",
  56432. "name": "Conv2D",
  56433. "pid": 23,
  56434. "tid": 0,
  56435. "ts": 1539815916953824,
  56436. "dur": 790,
  56437. "args": {
  56438. "name": "tower_2/conv2d_2/Conv2D",
  56439. "op": "Conv2D"
  56440. }
  56441. },
  56442. {
  56443. "ph": "X",
  56444. "cat": "Op",
  56445. "name": "Conv2D",
  56446. "pid": 23,
  56447. "tid": 0,
  56448. "ts": 1539815916954619,
  56449. "dur": 142,
  56450. "args": {
  56451. "name": "tower_2/conv2d_2/Conv2D",
  56452. "op": "Conv2D"
  56453. }
  56454. },
  56455. {
  56456. "ph": "X",
  56457. "cat": "Op",
  56458. "name": "Conv2D",
  56459. "pid": 23,
  56460. "tid": 0,
  56461. "ts": 1539815916954851,
  56462. "dur": 232,
  56463. "args": {
  56464. "name": "tower_2/conv2d_2/Conv2D",
  56465. "op": "Conv2D"
  56466. }
  56467. },
  56468. {
  56469. "ph": "X",
  56470. "cat": "Op",
  56471. "name": "Conv2D",
  56472. "pid": 23,
  56473. "tid": 0,
  56474. "ts": 1539815916958166,
  56475. "dur": 232,
  56476. "args": {
  56477. "name": "tower_2/conv2d_2/Conv2D",
  56478. "op": "Conv2D"
  56479. }
  56480. },
  56481. {
  56482. "ph": "X",
  56483. "cat": "Op",
  56484. "name": "Conv2D",
  56485. "pid": 23,
  56486. "tid": 0,
  56487. "ts": 1539815916961467,
  56488. "dur": 282,
  56489. "args": {
  56490. "name": "tower_2/conv2d_2/Conv2D",
  56491. "op": "Conv2D"
  56492. }
  56493. },
  56494. {
  56495. "ph": "X",
  56496. "cat": "Op",
  56497. "name": "Conv2D",
  56498. "pid": 23,
  56499. "tid": 0,
  56500. "ts": 1539815916961753,
  56501. "dur": 52,
  56502. "args": {
  56503. "name": "tower_2/conv2d_2/Conv2D",
  56504. "op": "Conv2D"
  56505. }
  56506. },
  56507. {
  56508. "ph": "X",
  56509. "cat": "Op",
  56510. "name": "Conv2D",
  56511. "pid": 23,
  56512. "tid": 0,
  56513. "ts": 1539815916961809,
  56514. "dur": 236,
  56515. "args": {
  56516. "name": "tower_2/conv2d_2/Conv2D",
  56517. "op": "Conv2D"
  56518. }
  56519. },
  56520. {
  56521. "ph": "X",
  56522. "cat": "Op",
  56523. "name": "Conv2D",
  56524. "pid": 23,
  56525. "tid": 0,
  56526. "ts": 1539815916962049,
  56527. "dur": 439,
  56528. "args": {
  56529. "name": "tower_2/conv2d_2/Conv2D",
  56530. "op": "Conv2D"
  56531. }
  56532. },
  56533. {
  56534. "ph": "X",
  56535. "cat": "Op",
  56536. "name": "Conv2D",
  56537. "pid": 23,
  56538. "tid": 0,
  56539. "ts": 1539815916962530,
  56540. "dur": 283,
  56541. "args": {
  56542. "name": "tower_2/conv2d_2/Conv2D",
  56543. "op": "Conv2D"
  56544. }
  56545. },
  56546. {
  56547. "ph": "X",
  56548. "cat": "Op",
  56549. "name": "Conv2D",
  56550. "pid": 23,
  56551. "tid": 0,
  56552. "ts": 1539815916962817,
  56553. "dur": 50,
  56554. "args": {
  56555. "name": "tower_2/conv2d_2/Conv2D",
  56556. "op": "Conv2D"
  56557. }
  56558. },
  56559. {
  56560. "ph": "X",
  56561. "cat": "Op",
  56562. "name": "Conv2D",
  56563. "pid": 23,
  56564. "tid": 0,
  56565. "ts": 1539815916962871,
  56566. "dur": 248,
  56567. "args": {
  56568. "name": "tower_2/conv2d_2/Conv2D",
  56569. "op": "Conv2D"
  56570. }
  56571. },
  56572. {
  56573. "ph": "X",
  56574. "cat": "Op",
  56575. "name": "Conv2D",
  56576. "pid": 23,
  56577. "tid": 0,
  56578. "ts": 1539815916963123,
  56579. "dur": 438,
  56580. "args": {
  56581. "name": "tower_2/conv2d_2/Conv2D",
  56582. "op": "Conv2D"
  56583. }
  56584. },
  56585. {
  56586. "ph": "X",
  56587. "cat": "Op",
  56588. "name": "Conv2D",
  56589. "pid": 23,
  56590. "tid": 0,
  56591. "ts": 1539815916963606,
  56592. "dur": 282,
  56593. "args": {
  56594. "name": "tower_2/conv2d_2/Conv2D",
  56595. "op": "Conv2D"
  56596. }
  56597. },
  56598. {
  56599. "ph": "X",
  56600. "cat": "Op",
  56601. "name": "Conv2D",
  56602. "pid": 23,
  56603. "tid": 0,
  56604. "ts": 1539815916963892,
  56605. "dur": 51,
  56606. "args": {
  56607. "name": "tower_2/conv2d_2/Conv2D",
  56608. "op": "Conv2D"
  56609. }
  56610. },
  56611. {
  56612. "ph": "X",
  56613. "cat": "Op",
  56614. "name": "Conv2D",
  56615. "pid": 23,
  56616. "tid": 0,
  56617. "ts": 1539815916963947,
  56618. "dur": 247,
  56619. "args": {
  56620. "name": "tower_2/conv2d_2/Conv2D",
  56621. "op": "Conv2D"
  56622. }
  56623. },
  56624. {
  56625. "ph": "X",
  56626. "cat": "Op",
  56627. "name": "Conv2D",
  56628. "pid": 23,
  56629. "tid": 0,
  56630. "ts": 1539815916964198,
  56631. "dur": 439,
  56632. "args": {
  56633. "name": "tower_2/conv2d_2/Conv2D",
  56634. "op": "Conv2D"
  56635. }
  56636. },
  56637. {
  56638. "ph": "X",
  56639. "cat": "Op",
  56640. "name": "Mul",
  56641. "pid": 23,
  56642. "tid": 0,
  56643. "ts": 1539815916964641,
  56644. "dur": 3,
  56645. "args": {
  56646. "name": "tower_2/batch_normalization_2/AssignMovingAvg/mul",
  56647. "op": "Mul"
  56648. }
  56649. },
  56650. {
  56651. "ph": "X",
  56652. "cat": "Op",
  56653. "name": "Mul",
  56654. "pid": 23,
  56655. "tid": 0,
  56656. "ts": 1539815916964648,
  56657. "dur": 4,
  56658. "args": {
  56659. "name": "tower_2/batch_normalization_2/AssignMovingAvg_1/mul",
  56660. "op": "Mul"
  56661. }
  56662. },
  56663. {
  56664. "ph": "X",
  56665. "cat": "Op",
  56666. "name": "BiasAdd",
  56667. "pid": 23,
  56668. "tid": 0,
  56669. "ts": 1539815916964656,
  56670. "dur": 43,
  56671. "args": {
  56672. "name": "tower_2/conv2d_2/BiasAdd",
  56673. "op": "BiasAdd"
  56674. }
  56675. },
  56676. {
  56677. "ph": "X",
  56678. "cat": "Op",
  56679. "name": "AssignSubVariableOp",
  56680. "pid": 23,
  56681. "tid": 0,
  56682. "ts": 1539815916964707,
  56683. "dur": 3,
  56684. "args": {
  56685. "name": "tower_2/batch_normalization_2/AssignMovingAvg/AssignSubVariableOp",
  56686. "op": "AssignSubVariableOp"
  56687. }
  56688. },
  56689. {
  56690. "ph": "X",
  56691. "cat": "Op",
  56692. "name": "AssignSubVariableOp",
  56693. "pid": 23,
  56694. "tid": 0,
  56695. "ts": 1539815916964719,
  56696. "dur": 3,
  56697. "args": {
  56698. "name": "tower_2/batch_normalization_2/AssignMovingAvg_1/AssignSubVariableOp",
  56699. "op": "AssignSubVariableOp"
  56700. }
  56701. },
  56702. {
  56703. "ph": "X",
  56704. "cat": "Op",
  56705. "name": "Elu",
  56706. "pid": 23,
  56707. "tid": 0,
  56708. "ts": 1539815916964726,
  56709. "dur": 37,
  56710. "args": {
  56711. "name": "tower_2/conv2d_2/Elu",
  56712. "op": "Elu"
  56713. }
  56714. },
  56715. {
  56716. "ph": "X",
  56717. "cat": "Op",
  56718. "name": "MaxPool",
  56719. "pid": 23,
  56720. "tid": 0,
  56721. "ts": 1539815916964767,
  56722. "dur": 31,
  56723. "args": {
  56724. "name": "tower_2/max_pooling2d_2/MaxPool",
  56725. "op": "MaxPool"
  56726. }
  56727. },
  56728. {
  56729. "ph": "X",
  56730. "cat": "Op",
  56731. "name": "Mul",
  56732. "pid": 23,
  56733. "tid": 0,
  56734. "ts": 1539815916964802,
  56735. "dur": 5,
  56736. "args": {
  56737. "name": "tower_2/dropout_2/dropout/div",
  56738. "op": "Mul"
  56739. }
  56740. },
  56741. {
  56742. "ph": "X",
  56743. "cat": "Op",
  56744. "name": "RandomUniform",
  56745. "pid": 23,
  56746. "tid": 0,
  56747. "ts": 1539815916964811,
  56748. "dur": 11,
  56749. "args": {
  56750. "name": "tower_2/dropout_2/dropout/random_uniform/RandomUniform",
  56751. "op": "RandomUniform"
  56752. }
  56753. },
  56754. {
  56755. "ph": "X",
  56756. "cat": "Op",
  56757. "name": "Add",
  56758. "pid": 23,
  56759. "tid": 0,
  56760. "ts": 1539815916964826,
  56761. "dur": 6,
  56762. "args": {
  56763. "name": "tower_2/dropout_2/dropout/add",
  56764. "op": "Add"
  56765. }
  56766. },
  56767. {
  56768. "ph": "X",
  56769. "cat": "Op",
  56770. "name": "Floor",
  56771. "pid": 23,
  56772. "tid": 0,
  56773. "ts": 1539815916964835,
  56774. "dur": 5,
  56775. "args": {
  56776. "name": "tower_2/dropout_2/dropout/Floor",
  56777. "op": "Floor"
  56778. }
  56779. },
  56780. {
  56781. "ph": "X",
  56782. "cat": "Op",
  56783. "name": "Transpose",
  56784. "pid": 23,
  56785. "tid": 0,
  56786. "ts": 1539815916965081,
  56787. "dur": 12,
  56788. "args": {
  56789. "name": "tower_2/dropout_2/dropout/mul-1-TransposeNHWCToNCHW-LayoutOptimizer",
  56790. "op": "Transpose"
  56791. }
  56792. },
  56793. {
  56794. "ph": "X",
  56795. "cat": "Op",
  56796. "name": "Mul",
  56797. "pid": 23,
  56798. "tid": 0,
  56799. "ts": 1539815916965117,
  56800. "dur": 9,
  56801. "args": {
  56802. "name": "tower_2/dropout_2/dropout/mul",
  56803. "op": "Mul"
  56804. }
  56805. },
  56806. {
  56807. "ph": "X",
  56808. "cat": "Op",
  56809. "name": "Transpose",
  56810. "pid": 23,
  56811. "tid": 0,
  56812. "ts": 1539815916965174,
  56813. "dur": 10,
  56814. "args": {
  56815. "name": "tower_2/dropout_2/dropout/mul-1-0-TransposeNCHWToNHWC-LayoutOptimizer",
  56816. "op": "Transpose"
  56817. }
  56818. },
  56819. {
  56820. "ph": "X",
  56821. "cat": "Op",
  56822. "name": "MatMul",
  56823. "pid": 23,
  56824. "tid": 0,
  56825. "ts": 1539815916967972,
  56826. "dur": 82,
  56827. "args": {
  56828. "name": "tower_2/dense/MatMul",
  56829. "op": "MatMul"
  56830. }
  56831. },
  56832. {
  56833. "ph": "X",
  56834. "cat": "Op",
  56835. "name": "BiasAdd",
  56836. "pid": 23,
  56837. "tid": 0,
  56838. "ts": 1539815916968058,
  56839. "dur": 5,
  56840. "args": {
  56841. "name": "tower_2/dense/BiasAdd",
  56842. "op": "BiasAdd"
  56843. }
  56844. },
  56845. {
  56846. "ph": "X",
  56847. "cat": "Op",
  56848. "name": "Elu",
  56849. "pid": 23,
  56850. "tid": 0,
  56851. "ts": 1539815916968068,
  56852. "dur": 4,
  56853. "args": {
  56854. "name": "tower_2/activation/Elu",
  56855. "op": "Elu"
  56856. }
  56857. },
  56858. {
  56859. "ph": "X",
  56860. "cat": "Op",
  56861. "name": "Mul",
  56862. "pid": 23,
  56863. "tid": 0,
  56864. "ts": 1539815916968084,
  56865. "dur": 4,
  56866. "args": {
  56867. "name": "tower_2/dropout_3/dropout/div",
  56868. "op": "Mul"
  56869. }
  56870. },
  56871. {
  56872. "ph": "X",
  56873. "cat": "Op",
  56874. "name": "RandomUniform",
  56875. "pid": 23,
  56876. "tid": 0,
  56877. "ts": 1539815916968132,
  56878. "dur": 8,
  56879. "args": {
  56880. "name": "tower_2/dropout_3/dropout/random_uniform/RandomUniform",
  56881. "op": "RandomUniform"
  56882. }
  56883. },
  56884. {
  56885. "ph": "X",
  56886. "cat": "Op",
  56887. "name": "Add",
  56888. "pid": 23,
  56889. "tid": 0,
  56890. "ts": 1539815916968160,
  56891. "dur": 5,
  56892. "args": {
  56893. "name": "tower_2/dropout_3/dropout/add",
  56894. "op": "Add"
  56895. }
  56896. },
  56897. {
  56898. "ph": "X",
  56899. "cat": "Op",
  56900. "name": "Floor",
  56901. "pid": 23,
  56902. "tid": 0,
  56903. "ts": 1539815916968184,
  56904. "dur": 3,
  56905. "args": {
  56906. "name": "tower_2/dropout_3/dropout/Floor",
  56907. "op": "Floor"
  56908. }
  56909. },
  56910. {
  56911. "ph": "X",
  56912. "cat": "Op",
  56913. "name": "Mul",
  56914. "pid": 23,
  56915. "tid": 0,
  56916. "ts": 1539815916968207,
  56917. "dur": 5,
  56918. "args": {
  56919. "name": "tower_2/dropout_3/dropout/mul",
  56920. "op": "Mul"
  56921. }
  56922. },
  56923. {
  56924. "ph": "X",
  56925. "cat": "Op",
  56926. "name": "MatMul",
  56927. "pid": 23,
  56928. "tid": 0,
  56929. "ts": 1539815916968242,
  56930. "dur": 39,
  56931. "args": {
  56932. "name": "tower_2/dense_1/MatMul",
  56933. "op": "MatMul"
  56934. }
  56935. },
  56936. {
  56937. "ph": "X",
  56938. "cat": "Op",
  56939. "name": "BiasAdd",
  56940. "pid": 23,
  56941. "tid": 0,
  56942. "ts": 1539815916968286,
  56943. "dur": 3,
  56944. "args": {
  56945. "name": "tower_2/dense_1/BiasAdd",
  56946. "op": "BiasAdd"
  56947. }
  56948. },
  56949. {
  56950. "ph": "X",
  56951. "cat": "Op",
  56952. "name": "Softmax",
  56953. "pid": 23,
  56954. "tid": 0,
  56955. "ts": 1539815916971382,
  56956. "dur": 5,
  56957. "args": {
  56958. "name": "tower_2/activation_1/Softmax",
  56959. "op": "Softmax"
  56960. }
  56961. },
  56962. {
  56963. "ph": "X",
  56964. "cat": "Op",
  56965. "name": "Softmax",
  56966. "pid": 23,
  56967. "tid": 0,
  56968. "ts": 1539815916971397,
  56969. "dur": 5,
  56970. "args": {
  56971. "name": "tower_2/activation_1/Softmax",
  56972. "op": "Softmax"
  56973. }
  56974. },
  56975. {
  56976. "ph": "X",
  56977. "cat": "Op",
  56978. "name": "Softmax",
  56979. "pid": 23,
  56980. "tid": 0,
  56981. "ts": 1539815916971409,
  56982. "dur": 4,
  56983. "args": {
  56984. "name": "tower_2/activation_1/Softmax",
  56985. "op": "Softmax"
  56986. }
  56987. },
  56988. {
  56989. "ph": "X",
  56990. "cat": "Op",
  56991. "name": "LessEqual",
  56992. "pid": 23,
  56993. "tid": 0,
  56994. "ts": 1539815916974164,
  56995. "dur": 4,
  56996. "args": {
  56997. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value/Minimum_grad/LessEqual",
  56998. "op": "LessEqual"
  56999. }
  57000. },
  57001. {
  57002. "ph": "X",
  57003. "cat": "Op",
  57004. "name": "Minimum",
  57005. "pid": 23,
  57006. "tid": 0,
  57007. "ts": 1539815916974233,
  57008. "dur": 3,
  57009. "args": {
  57010. "name": "tower_2/loss/activation_1_loss/clip_by_value/Minimum",
  57011. "op": "Minimum"
  57012. }
  57013. },
  57014. {
  57015. "ph": "X",
  57016. "cat": "Op",
  57017. "name": "GreaterEqual",
  57018. "pid": 23,
  57019. "tid": 0,
  57020. "ts": 1539815916975772,
  57021. "dur": 4,
  57022. "args": {
  57023. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value_grad/GreaterEqual",
  57024. "op": "GreaterEqual"
  57025. }
  57026. },
  57027. {
  57028. "ph": "X",
  57029. "cat": "Op",
  57030. "name": "Maximum",
  57031. "pid": 23,
  57032. "tid": 0,
  57033. "ts": 1539815916975855,
  57034. "dur": 3,
  57035. "args": {
  57036. "name": "tower_2/loss/activation_1_loss/clip_by_value",
  57037. "op": "Maximum"
  57038. }
  57039. },
  57040. {
  57041. "ph": "X",
  57042. "cat": "Op",
  57043. "name": "Log",
  57044. "pid": 23,
  57045. "tid": 0,
  57046. "ts": 1539815916975914,
  57047. "dur": 5,
  57048. "args": {
  57049. "name": "tower_2/loss/activation_1_loss/Log",
  57050. "op": "Log"
  57051. }
  57052. },
  57053. {
  57054. "ph": "X",
  57055. "cat": "Op",
  57056. "name": "SparseSoftmaxCrossEntropyWithLogits",
  57057. "pid": 23,
  57058. "tid": 0,
  57059. "ts": 1539815916976000,
  57060. "dur": 5,
  57061. "args": {
  57062. "name": "tower_2/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  57063. "op": "SparseSoftmaxCrossEntropyWithLogits"
  57064. }
  57065. },
  57066. {
  57067. "ph": "X",
  57068. "cat": "Op",
  57069. "name": "SparseSoftmaxCrossEntropyWithLogits",
  57070. "pid": 23,
  57071. "tid": 0,
  57072. "ts": 1539815916976012,
  57073. "dur": 5,
  57074. "args": {
  57075. "name": "tower_2/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  57076. "op": "SparseSoftmaxCrossEntropyWithLogits"
  57077. }
  57078. },
  57079. {
  57080. "ph": "X",
  57081. "cat": "Op",
  57082. "name": "SparseSoftmaxCrossEntropyWithLogits",
  57083. "pid": 23,
  57084. "tid": 0,
  57085. "ts": 1539815916976023,
  57086. "dur": 6,
  57087. "args": {
  57088. "name": "tower_2/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  57089. "op": "SparseSoftmaxCrossEntropyWithLogits"
  57090. }
  57091. },
  57092. {
  57093. "ph": "X",
  57094. "cat": "Op",
  57095. "name": "SparseSoftmaxCrossEntropyWithLogits",
  57096. "pid": 23,
  57097. "tid": 0,
  57098. "ts": 1539815916976033,
  57099. "dur": 11,
  57100. "args": {
  57101. "name": "tower_2/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  57102. "op": "SparseSoftmaxCrossEntropyWithLogits"
  57103. }
  57104. },
  57105. {
  57106. "ph": "X",
  57107. "cat": "Op",
  57108. "name": "SparseSoftmaxCrossEntropyWithLogits",
  57109. "pid": 23,
  57110. "tid": 0,
  57111. "ts": 1539815916976048,
  57112. "dur": 4,
  57113. "args": {
  57114. "name": "tower_2/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  57115. "op": "SparseSoftmaxCrossEntropyWithLogits"
  57116. }
  57117. },
  57118. {
  57119. "ph": "X",
  57120. "cat": "Op",
  57121. "name": "SparseSoftmaxCrossEntropyWithLogits",
  57122. "pid": 23,
  57123. "tid": 0,
  57124. "ts": 1539815916976056,
  57125. "dur": 4,
  57126. "args": {
  57127. "name": "tower_2/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  57128. "op": "SparseSoftmaxCrossEntropyWithLogits"
  57129. }
  57130. },
  57131. {
  57132. "ph": "X",
  57133. "cat": "Op",
  57134. "name": "Mean",
  57135. "pid": 23,
  57136. "tid": 0,
  57137. "ts": 1539815916982216,
  57138. "dur": 5,
  57139. "args": {
  57140. "name": "tower_2/loss/activation_1_loss/Mean",
  57141. "op": "Mean"
  57142. }
  57143. },
  57144. {
  57145. "ph": "X",
  57146. "cat": "Op",
  57147. "name": "Tile",
  57148. "pid": 23,
  57149. "tid": 0,
  57150. "ts": 1539815916983737,
  57151. "dur": 4,
  57152. "args": {
  57153. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/Mean_grad/Tile",
  57154. "op": "Tile"
  57155. }
  57156. },
  57157. {
  57158. "ph": "X",
  57159. "cat": "Op",
  57160. "name": "Cast",
  57161. "pid": 23,
  57162. "tid": 0,
  57163. "ts": 1539815916983964,
  57164. "dur": 3,
  57165. "args": {
  57166. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/Mean_grad/Cast",
  57167. "op": "Cast"
  57168. }
  57169. },
  57170. {
  57171. "ph": "X",
  57172. "cat": "Op",
  57173. "name": "RealDiv",
  57174. "pid": 23,
  57175. "tid": 0,
  57176. "ts": 1539815916985503,
  57177. "dur": 4,
  57178. "args": {
  57179. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/Mean_grad/truediv",
  57180. "op": "RealDiv"
  57181. }
  57182. },
  57183. {
  57184. "ph": "X",
  57185. "cat": "Op",
  57186. "name": "Mul",
  57187. "pid": 23,
  57188. "tid": 0,
  57189. "ts": 1539815916986447,
  57190. "dur": 6,
  57191. "args": {
  57192. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits_grad/mul",
  57193. "op": "Mul"
  57194. }
  57195. },
  57196. {
  57197. "ph": "X",
  57198. "cat": "Op",
  57199. "name": "Reciprocal",
  57200. "pid": 23,
  57201. "tid": 0,
  57202. "ts": 1539815916986507,
  57203. "dur": 4,
  57204. "args": {
  57205. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/Log_grad/Reciprocal",
  57206. "op": "Reciprocal"
  57207. }
  57208. },
  57209. {
  57210. "ph": "X",
  57211. "cat": "Op",
  57212. "name": "Mul",
  57213. "pid": 23,
  57214. "tid": 0,
  57215. "ts": 1539815916986533,
  57216. "dur": 3,
  57217. "args": {
  57218. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/Log_grad/mul",
  57219. "op": "Mul"
  57220. }
  57221. },
  57222. {
  57223. "ph": "X",
  57224. "cat": "Op",
  57225. "name": "Fill",
  57226. "pid": 23,
  57227. "tid": 0,
  57228. "ts": 1539815916986656,
  57229. "dur": 4,
  57230. "args": {
  57231. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value_grad/zeros",
  57232. "op": "Fill"
  57233. }
  57234. },
  57235. {
  57236. "ph": "X",
  57237. "cat": "Op",
  57238. "name": "Select",
  57239. "pid": 23,
  57240. "tid": 0,
  57241. "ts": 1539815916986774,
  57242. "dur": 4,
  57243. "args": {
  57244. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value_grad/Select",
  57245. "op": "Select"
  57246. }
  57247. },
  57248. {
  57249. "ph": "X",
  57250. "cat": "Op",
  57251. "name": "Fill",
  57252. "pid": 23,
  57253. "tid": 0,
  57254. "ts": 1539815916990912,
  57255. "dur": 3,
  57256. "args": {
  57257. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value/Minimum_grad/zeros",
  57258. "op": "Fill"
  57259. }
  57260. },
  57261. {
  57262. "ph": "X",
  57263. "cat": "Op",
  57264. "name": "Select",
  57265. "pid": 23,
  57266. "tid": 0,
  57267. "ts": 1539815916990944,
  57268. "dur": 3,
  57269. "args": {
  57270. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value/Minimum_grad/Select",
  57271. "op": "Select"
  57272. }
  57273. },
  57274. {
  57275. "ph": "X",
  57276. "cat": "Op",
  57277. "name": "Mul",
  57278. "pid": 23,
  57279. "tid": 0,
  57280. "ts": 1539815916991052,
  57281. "dur": 4,
  57282. "args": {
  57283. "name": "tower_2/training/TFOptimizer/gradients/tower_2/activation_1/Softmax_grad/mul",
  57284. "op": "Mul"
  57285. }
  57286. },
  57287. {
  57288. "ph": "X",
  57289. "cat": "Op",
  57290. "name": "Sum",
  57291. "pid": 23,
  57292. "tid": 0,
  57293. "ts": 1539815916991094,
  57294. "dur": 4,
  57295. "args": {
  57296. "name": "tower_2/training/TFOptimizer/gradients/tower_2/activation_1/Softmax_grad/Sum",
  57297. "op": "Sum"
  57298. }
  57299. },
  57300. {
  57301. "ph": "X",
  57302. "cat": "Op",
  57303. "name": "Sub",
  57304. "pid": 23,
  57305. "tid": 0,
  57306. "ts": 1539815916991126,
  57307. "dur": 5,
  57308. "args": {
  57309. "name": "tower_2/training/TFOptimizer/gradients/tower_2/activation_1/Softmax_grad/sub",
  57310. "op": "Sub"
  57311. }
  57312. },
  57313. {
  57314. "ph": "X",
  57315. "cat": "Op",
  57316. "name": "Mul",
  57317. "pid": 23,
  57318. "tid": 0,
  57319. "ts": 1539815916991209,
  57320. "dur": 3,
  57321. "args": {
  57322. "name": "tower_2/training/TFOptimizer/gradients/tower_2/activation_1/Softmax_grad/mul_1",
  57323. "op": "Mul"
  57324. }
  57325. },
  57326. {
  57327. "ph": "X",
  57328. "cat": "Op",
  57329. "name": "BiasAddGrad",
  57330. "pid": 23,
  57331. "tid": 0,
  57332. "ts": 1539815916991303,
  57333. "dur": 8,
  57334. "args": {
  57335. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dense_1/BiasAdd_grad/BiasAddGrad",
  57336. "op": "BiasAddGrad"
  57337. }
  57338. },
  57339. {
  57340. "ph": "X",
  57341. "cat": "Op",
  57342. "name": "BiasAddGrad",
  57343. "pid": 23,
  57344. "tid": 0,
  57345. "ts": 1539815916991343,
  57346. "dur": 6,
  57347. "args": {
  57348. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dense_1/BiasAdd_grad/BiasAddGrad",
  57349. "op": "BiasAddGrad"
  57350. }
  57351. },
  57352. {
  57353. "ph": "X",
  57354. "cat": "Op",
  57355. "name": "BiasAddGrad",
  57356. "pid": 23,
  57357. "tid": 0,
  57358. "ts": 1539815916991356,
  57359. "dur": 4,
  57360. "args": {
  57361. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dense_1/BiasAdd_grad/BiasAddGrad",
  57362. "op": "BiasAddGrad"
  57363. }
  57364. },
  57365. {
  57366. "ph": "X",
  57367. "cat": "Op",
  57368. "name": "MatMul",
  57369. "pid": 23,
  57370. "tid": 0,
  57371. "ts": 1539815916991426,
  57372. "dur": 17,
  57373. "args": {
  57374. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dense_1/MatMul_grad/MatMul",
  57375. "op": "MatMul"
  57376. }
  57377. },
  57378. {
  57379. "ph": "X",
  57380. "cat": "Op",
  57381. "name": "MatMul",
  57382. "pid": 23,
  57383. "tid": 0,
  57384. "ts": 1539815916991468,
  57385. "dur": 40,
  57386. "args": {
  57387. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dense_1/MatMul_grad/MatMul_1",
  57388. "op": "MatMul"
  57389. }
  57390. },
  57391. {
  57392. "ph": "X",
  57393. "cat": "Op",
  57394. "name": "Mul",
  57395. "pid": 23,
  57396. "tid": 0,
  57397. "ts": 1539815916991518,
  57398. "dur": 4,
  57399. "args": {
  57400. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_3/dropout/mul_grad/Mul",
  57401. "op": "Mul"
  57402. }
  57403. },
  57404. {
  57405. "ph": "X",
  57406. "cat": "Op",
  57407. "name": "Mul",
  57408. "pid": 23,
  57409. "tid": 0,
  57410. "ts": 1539815916991545,
  57411. "dur": 4,
  57412. "args": {
  57413. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_3/dropout/div_grad/RealDiv",
  57414. "op": "Mul"
  57415. }
  57416. },
  57417. {
  57418. "ph": "X",
  57419. "cat": "Op",
  57420. "name": "EluGrad",
  57421. "pid": 23,
  57422. "tid": 0,
  57423. "ts": 1539815916991600,
  57424. "dur": 5,
  57425. "args": {
  57426. "name": "tower_2/training/TFOptimizer/gradients/tower_2/activation/Elu_grad/EluGrad",
  57427. "op": "EluGrad"
  57428. }
  57429. },
  57430. {
  57431. "ph": "X",
  57432. "cat": "Op",
  57433. "name": "BiasAddGrad",
  57434. "pid": 23,
  57435. "tid": 0,
  57436. "ts": 1539815916991677,
  57437. "dur": 5,
  57438. "args": {
  57439. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dense/BiasAdd_grad/BiasAddGrad",
  57440. "op": "BiasAddGrad"
  57441. }
  57442. },
  57443. {
  57444. "ph": "X",
  57445. "cat": "Op",
  57446. "name": "BiasAddGrad",
  57447. "pid": 23,
  57448. "tid": 0,
  57449. "ts": 1539815916991722,
  57450. "dur": 5,
  57451. "args": {
  57452. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dense/BiasAdd_grad/BiasAddGrad",
  57453. "op": "BiasAddGrad"
  57454. }
  57455. },
  57456. {
  57457. "ph": "X",
  57458. "cat": "Op",
  57459. "name": "BiasAddGrad",
  57460. "pid": 23,
  57461. "tid": 0,
  57462. "ts": 1539815916991733,
  57463. "dur": 5,
  57464. "args": {
  57465. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dense/BiasAdd_grad/BiasAddGrad",
  57466. "op": "BiasAddGrad"
  57467. }
  57468. },
  57469. {
  57470. "ph": "X",
  57471. "cat": "Op",
  57472. "name": "MatMul",
  57473. "pid": 23,
  57474. "tid": 0,
  57475. "ts": 1539815916991793,
  57476. "dur": 39,
  57477. "args": {
  57478. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dense/MatMul_grad/MatMul",
  57479. "op": "MatMul"
  57480. }
  57481. },
  57482. {
  57483. "ph": "X",
  57484. "cat": "Op",
  57485. "name": "MatMul",
  57486. "pid": 23,
  57487. "tid": 0,
  57488. "ts": 1539815916991836,
  57489. "dur": 41,
  57490. "args": {
  57491. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dense/MatMul_grad/MatMul_1",
  57492. "op": "MatMul"
  57493. }
  57494. },
  57495. {
  57496. "ph": "X",
  57497. "cat": "Op",
  57498. "name": "Mul",
  57499. "pid": 23,
  57500. "tid": 0,
  57501. "ts": 1539815916991935,
  57502. "dur": 12,
  57503. "args": {
  57504. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_2/dropout/mul_grad/Mul",
  57505. "op": "Mul"
  57506. }
  57507. },
  57508. {
  57509. "ph": "X",
  57510. "cat": "Op",
  57511. "name": "Mul",
  57512. "pid": 23,
  57513. "tid": 0,
  57514. "ts": 1539815916991966,
  57515. "dur": 6,
  57516. "args": {
  57517. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_2/dropout/div_grad/RealDiv",
  57518. "op": "Mul"
  57519. }
  57520. },
  57521. {
  57522. "ph": "X",
  57523. "cat": "Op",
  57524. "name": "Transpose",
  57525. "pid": 23,
  57526. "tid": 0,
  57527. "ts": 1539815916992026,
  57528. "dur": 12,
  57529. "args": {
  57530. "name": "tower_2/training/TFOptimizer/gradients/tower_2/max_pooling2d_2/MaxPool_grad/MaxPoolGrad-2-TransposeNHWCToNCHW-LayoutOptimizer",
  57531. "op": "Transpose"
  57532. }
  57533. },
  57534. {
  57535. "ph": "X",
  57536. "cat": "Op",
  57537. "name": "MaxPoolGrad",
  57538. "pid": 23,
  57539. "tid": 0,
  57540. "ts": 1539815916993610,
  57541. "dur": 192,
  57542. "args": {
  57543. "name": "tower_2/training/TFOptimizer/gradients/tower_2/max_pooling2d_2/MaxPool_grad/MaxPoolGrad",
  57544. "op": "MaxPoolGrad"
  57545. }
  57546. },
  57547. {
  57548. "ph": "X",
  57549. "cat": "Op",
  57550. "name": "EluGrad",
  57551. "pid": 23,
  57552. "tid": 0,
  57553. "ts": 1539815916993806,
  57554. "dur": 52,
  57555. "args": {
  57556. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Elu_grad/EluGrad",
  57557. "op": "EluGrad"
  57558. }
  57559. },
  57560. {
  57561. "ph": "X",
  57562. "cat": "Op",
  57563. "name": "BiasAddGrad",
  57564. "pid": 23,
  57565. "tid": 0,
  57566. "ts": 1539815916993868,
  57567. "dur": 37,
  57568. "args": {
  57569. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/BiasAdd_grad/BiasAddGrad",
  57570. "op": "BiasAddGrad"
  57571. }
  57572. },
  57573. {
  57574. "ph": "X",
  57575. "cat": "Op",
  57576. "name": "BiasAddGrad",
  57577. "pid": 23,
  57578. "tid": 0,
  57579. "ts": 1539815916993939,
  57580. "dur": 31,
  57581. "args": {
  57582. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/BiasAdd_grad/BiasAddGrad",
  57583. "op": "BiasAddGrad"
  57584. }
  57585. },
  57586. {
  57587. "ph": "X",
  57588. "cat": "Op",
  57589. "name": "BiasAddGrad",
  57590. "pid": 23,
  57591. "tid": 0,
  57592. "ts": 1539815916993975,
  57593. "dur": 5,
  57594. "args": {
  57595. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/BiasAdd_grad/BiasAddGrad",
  57596. "op": "BiasAddGrad"
  57597. }
  57598. },
  57599. {
  57600. "ph": "X",
  57601. "cat": "Op",
  57602. "name": "BiasAddGrad",
  57603. "pid": 23,
  57604. "tid": 0,
  57605. "ts": 1539815916993983,
  57606. "dur": 5,
  57607. "args": {
  57608. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/BiasAdd_grad/BiasAddGrad",
  57609. "op": "BiasAddGrad"
  57610. }
  57611. },
  57612. {
  57613. "ph": "X",
  57614. "cat": "Op",
  57615. "name": "Conv2DBackpropFilter",
  57616. "pid": 23,
  57617. "tid": 0,
  57618. "ts": 1539815916994129,
  57619. "dur": 4401,
  57620. "args": {
  57621. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  57622. "op": "Conv2DBackpropFilter"
  57623. }
  57624. },
  57625. {
  57626. "ph": "X",
  57627. "cat": "Op",
  57628. "name": "Conv2DBackpropFilter",
  57629. "pid": 23,
  57630. "tid": 0,
  57631. "ts": 1539815916998615,
  57632. "dur": 4392,
  57633. "args": {
  57634. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  57635. "op": "Conv2DBackpropFilter"
  57636. }
  57637. },
  57638. {
  57639. "ph": "X",
  57640. "cat": "Op",
  57641. "name": "Conv2DBackpropFilter",
  57642. "pid": 23,
  57643. "tid": 0,
  57644. "ts": 1539815917003104,
  57645. "dur": 4,
  57646. "args": {
  57647. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  57648. "op": "Conv2DBackpropFilter"
  57649. }
  57650. },
  57651. {
  57652. "ph": "X",
  57653. "cat": "Op",
  57654. "name": "Conv2DBackpropFilter",
  57655. "pid": 23,
  57656. "tid": 0,
  57657. "ts": 1539815917003123,
  57658. "dur": 9,
  57659. "args": {
  57660. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  57661. "op": "Conv2DBackpropFilter"
  57662. }
  57663. },
  57664. {
  57665. "ph": "X",
  57666. "cat": "Op",
  57667. "name": "Conv2DBackpropFilter",
  57668. "pid": 23,
  57669. "tid": 0,
  57670. "ts": 1539815917003137,
  57671. "dur": 3,
  57672. "args": {
  57673. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  57674. "op": "Conv2DBackpropFilter"
  57675. }
  57676. },
  57677. {
  57678. "ph": "X",
  57679. "cat": "Op",
  57680. "name": "Conv2DBackpropFilter",
  57681. "pid": 23,
  57682. "tid": 0,
  57683. "ts": 1539815917003150,
  57684. "dur": 1681,
  57685. "args": {
  57686. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  57687. "op": "Conv2DBackpropFilter"
  57688. }
  57689. },
  57690. {
  57691. "ph": "X",
  57692. "cat": "Op",
  57693. "name": "Conv2DBackpropFilter",
  57694. "pid": 23,
  57695. "tid": 0,
  57696. "ts": 1539815917004895,
  57697. "dur": 4,
  57698. "args": {
  57699. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  57700. "op": "Conv2DBackpropFilter"
  57701. }
  57702. },
  57703. {
  57704. "ph": "X",
  57705. "cat": "Op",
  57706. "name": "Conv2DBackpropFilter",
  57707. "pid": 23,
  57708. "tid": 0,
  57709. "ts": 1539815917004907,
  57710. "dur": 8,
  57711. "args": {
  57712. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  57713. "op": "Conv2DBackpropFilter"
  57714. }
  57715. },
  57716. {
  57717. "ph": "X",
  57718. "cat": "Op",
  57719. "name": "Conv2DBackpropFilter",
  57720. "pid": 23,
  57721. "tid": 0,
  57722. "ts": 1539815917004919,
  57723. "dur": 3,
  57724. "args": {
  57725. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  57726. "op": "Conv2DBackpropFilter"
  57727. }
  57728. },
  57729. {
  57730. "ph": "X",
  57731. "cat": "Op",
  57732. "name": "Conv2DBackpropFilter",
  57733. "pid": 23,
  57734. "tid": 0,
  57735. "ts": 1539815917004927,
  57736. "dur": 1681,
  57737. "args": {
  57738. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  57739. "op": "Conv2DBackpropFilter"
  57740. }
  57741. },
  57742. {
  57743. "ph": "X",
  57744. "cat": "Op",
  57745. "name": "Conv2DBackpropFilter",
  57746. "pid": 23,
  57747. "tid": 0,
  57748. "ts": 1539815917006658,
  57749. "dur": 111,
  57750. "args": {
  57751. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  57752. "op": "Conv2DBackpropFilter"
  57753. }
  57754. },
  57755. {
  57756. "ph": "X",
  57757. "cat": "Op",
  57758. "name": "Conv2DBackpropFilter",
  57759. "pid": 23,
  57760. "tid": 0,
  57761. "ts": 1539815917006853,
  57762. "dur": 139,
  57763. "args": {
  57764. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  57765. "op": "Conv2DBackpropFilter"
  57766. }
  57767. },
  57768. {
  57769. "ph": "X",
  57770. "cat": "Op",
  57771. "name": "Conv2DBackpropFilter",
  57772. "pid": 23,
  57773. "tid": 0,
  57774. "ts": 1539815917006997,
  57775. "dur": 4,
  57776. "args": {
  57777. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  57778. "op": "Conv2DBackpropFilter"
  57779. }
  57780. },
  57781. {
  57782. "ph": "X",
  57783. "cat": "Op",
  57784. "name": "Conv2DBackpropFilter",
  57785. "pid": 23,
  57786. "tid": 0,
  57787. "ts": 1539815917007004,
  57788. "dur": 797,
  57789. "args": {
  57790. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  57791. "op": "Conv2DBackpropFilter"
  57792. }
  57793. },
  57794. {
  57795. "ph": "X",
  57796. "cat": "Op",
  57797. "name": "Conv2DBackpropFilter",
  57798. "pid": 23,
  57799. "tid": 0,
  57800. "ts": 1539815917007806,
  57801. "dur": 75,
  57802. "args": {
  57803. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  57804. "op": "Conv2DBackpropFilter"
  57805. }
  57806. },
  57807. {
  57808. "ph": "X",
  57809. "cat": "Op",
  57810. "name": "Conv2DBackpropFilter",
  57811. "pid": 23,
  57812. "tid": 0,
  57813. "ts": 1539815917007934,
  57814. "dur": 111,
  57815. "args": {
  57816. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  57817. "op": "Conv2DBackpropFilter"
  57818. }
  57819. },
  57820. {
  57821. "ph": "X",
  57822. "cat": "Op",
  57823. "name": "Conv2DBackpropFilter",
  57824. "pid": 23,
  57825. "tid": 0,
  57826. "ts": 1539815917008127,
  57827. "dur": 137,
  57828. "args": {
  57829. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  57830. "op": "Conv2DBackpropFilter"
  57831. }
  57832. },
  57833. {
  57834. "ph": "X",
  57835. "cat": "Op",
  57836. "name": "Conv2DBackpropFilter",
  57837. "pid": 23,
  57838. "tid": 0,
  57839. "ts": 1539815917008269,
  57840. "dur": 3,
  57841. "args": {
  57842. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  57843. "op": "Conv2DBackpropFilter"
  57844. }
  57845. },
  57846. {
  57847. "ph": "X",
  57848. "cat": "Op",
  57849. "name": "Conv2DBackpropFilter",
  57850. "pid": 23,
  57851. "tid": 0,
  57852. "ts": 1539815917008276,
  57853. "dur": 796,
  57854. "args": {
  57855. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  57856. "op": "Conv2DBackpropFilter"
  57857. }
  57858. },
  57859. {
  57860. "ph": "X",
  57861. "cat": "Op",
  57862. "name": "Conv2DBackpropFilter",
  57863. "pid": 23,
  57864. "tid": 0,
  57865. "ts": 1539815917009077,
  57866. "dur": 75,
  57867. "args": {
  57868. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  57869. "op": "Conv2DBackpropFilter"
  57870. }
  57871. },
  57872. {
  57873. "ph": "X",
  57874. "cat": "Op",
  57875. "name": "Conv2DBackpropFilter",
  57876. "pid": 23,
  57877. "tid": 0,
  57878. "ts": 1539815917009217,
  57879. "dur": 3,
  57880. "args": {
  57881. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  57882. "op": "Conv2DBackpropFilter"
  57883. }
  57884. },
  57885. {
  57886. "ph": "X",
  57887. "cat": "Op",
  57888. "name": "Conv2DBackpropFilter",
  57889. "pid": 23,
  57890. "tid": 0,
  57891. "ts": 1539815917009227,
  57892. "dur": 9,
  57893. "args": {
  57894. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  57895. "op": "Conv2DBackpropFilter"
  57896. }
  57897. },
  57898. {
  57899. "ph": "X",
  57900. "cat": "Op",
  57901. "name": "Conv2DBackpropFilter",
  57902. "pid": 23,
  57903. "tid": 0,
  57904. "ts": 1539815917009239,
  57905. "dur": 4,
  57906. "args": {
  57907. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  57908. "op": "Conv2DBackpropFilter"
  57909. }
  57910. },
  57911. {
  57912. "ph": "X",
  57913. "cat": "Op",
  57914. "name": "Conv2DBackpropFilter",
  57915. "pid": 23,
  57916. "tid": 0,
  57917. "ts": 1539815917009249,
  57918. "dur": 1681,
  57919. "args": {
  57920. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  57921. "op": "Conv2DBackpropFilter"
  57922. }
  57923. },
  57924. {
  57925. "ph": "X",
  57926. "cat": "Op",
  57927. "name": "Conv2DBackpropFilter",
  57928. "pid": 23,
  57929. "tid": 0,
  57930. "ts": 1539815917010992,
  57931. "dur": 4,
  57932. "args": {
  57933. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  57934. "op": "Conv2DBackpropFilter"
  57935. }
  57936. },
  57937. {
  57938. "ph": "X",
  57939. "cat": "Op",
  57940. "name": "Conv2DBackpropFilter",
  57941. "pid": 23,
  57942. "tid": 0,
  57943. "ts": 1539815917011004,
  57944. "dur": 8,
  57945. "args": {
  57946. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  57947. "op": "Conv2DBackpropFilter"
  57948. }
  57949. },
  57950. {
  57951. "ph": "X",
  57952. "cat": "Op",
  57953. "name": "Conv2DBackpropFilter",
  57954. "pid": 23,
  57955. "tid": 0,
  57956. "ts": 1539815917011015,
  57957. "dur": 4,
  57958. "args": {
  57959. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  57960. "op": "Conv2DBackpropFilter"
  57961. }
  57962. },
  57963. {
  57964. "ph": "X",
  57965. "cat": "Op",
  57966. "name": "Conv2DBackpropFilter",
  57967. "pid": 23,
  57968. "tid": 0,
  57969. "ts": 1539815917011023,
  57970. "dur": 1680,
  57971. "args": {
  57972. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  57973. "op": "Conv2DBackpropFilter"
  57974. }
  57975. },
  57976. {
  57977. "ph": "X",
  57978. "cat": "Op",
  57979. "name": "Conv2DBackpropFilter",
  57980. "pid": 23,
  57981. "tid": 0,
  57982. "ts": 1539815917012753,
  57983. "dur": 283,
  57984. "args": {
  57985. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  57986. "op": "Conv2DBackpropFilter"
  57987. }
  57988. },
  57989. {
  57990. "ph": "X",
  57991. "cat": "Op",
  57992. "name": "Conv2DBackpropFilter",
  57993. "pid": 23,
  57994. "tid": 0,
  57995. "ts": 1539815917013040,
  57996. "dur": 144,
  57997. "args": {
  57998. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  57999. "op": "Conv2DBackpropFilter"
  58000. }
  58001. },
  58002. {
  58003. "ph": "X",
  58004. "cat": "Op",
  58005. "name": "Conv2DBackpropFilter",
  58006. "pid": 23,
  58007. "tid": 0,
  58008. "ts": 1539815917013188,
  58009. "dur": 247,
  58010. "args": {
  58011. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  58012. "op": "Conv2DBackpropFilter"
  58013. }
  58014. },
  58015. {
  58016. "ph": "X",
  58017. "cat": "Op",
  58018. "name": "Conv2DBackpropFilter",
  58019. "pid": 23,
  58020. "tid": 0,
  58021. "ts": 1539815917013439,
  58022. "dur": 72,
  58023. "args": {
  58024. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  58025. "op": "Conv2DBackpropFilter"
  58026. }
  58027. },
  58028. {
  58029. "ph": "X",
  58030. "cat": "Op",
  58031. "name": "Conv2DBackpropFilter",
  58032. "pid": 23,
  58033. "tid": 0,
  58034. "ts": 1539815917013558,
  58035. "dur": 282,
  58036. "args": {
  58037. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  58038. "op": "Conv2DBackpropFilter"
  58039. }
  58040. },
  58041. {
  58042. "ph": "X",
  58043. "cat": "Op",
  58044. "name": "Conv2DBackpropFilter",
  58045. "pid": 23,
  58046. "tid": 0,
  58047. "ts": 1539815917013844,
  58048. "dur": 143,
  58049. "args": {
  58050. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  58051. "op": "Conv2DBackpropFilter"
  58052. }
  58053. },
  58054. {
  58055. "ph": "X",
  58056. "cat": "Op",
  58057. "name": "Conv2DBackpropFilter",
  58058. "pid": 23,
  58059. "tid": 0,
  58060. "ts": 1539815917013992,
  58061. "dur": 246,
  58062. "args": {
  58063. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  58064. "op": "Conv2DBackpropFilter"
  58065. }
  58066. },
  58067. {
  58068. "ph": "X",
  58069. "cat": "Op",
  58070. "name": "Conv2DBackpropFilter",
  58071. "pid": 23,
  58072. "tid": 0,
  58073. "ts": 1539815917014242,
  58074. "dur": 74,
  58075. "args": {
  58076. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  58077. "op": "Conv2DBackpropFilter"
  58078. }
  58079. },
  58080. {
  58081. "ph": "X",
  58082. "cat": "Op",
  58083. "name": "Conv2DBackpropFilter",
  58084. "pid": 23,
  58085. "tid": 0,
  58086. "ts": 1539815917014357,
  58087. "dur": 283,
  58088. "args": {
  58089. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  58090. "op": "Conv2DBackpropFilter"
  58091. }
  58092. },
  58093. {
  58094. "ph": "X",
  58095. "cat": "Op",
  58096. "name": "Conv2DBackpropFilter",
  58097. "pid": 23,
  58098. "tid": 0,
  58099. "ts": 1539815917014648,
  58100. "dur": 144,
  58101. "args": {
  58102. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  58103. "op": "Conv2DBackpropFilter"
  58104. }
  58105. },
  58106. {
  58107. "ph": "X",
  58108. "cat": "Op",
  58109. "name": "Conv2DBackpropFilter",
  58110. "pid": 23,
  58111. "tid": 0,
  58112. "ts": 1539815917014796,
  58113. "dur": 246,
  58114. "args": {
  58115. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  58116. "op": "Conv2DBackpropFilter"
  58117. }
  58118. },
  58119. {
  58120. "ph": "X",
  58121. "cat": "Op",
  58122. "name": "Conv2DBackpropFilter",
  58123. "pid": 23,
  58124. "tid": 0,
  58125. "ts": 1539815917015046,
  58126. "dur": 73,
  58127. "args": {
  58128. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  58129. "op": "Conv2DBackpropFilter"
  58130. }
  58131. },
  58132. {
  58133. "ph": "X",
  58134. "cat": "Op",
  58135. "name": "Conv2DBackpropFilter",
  58136. "pid": 23,
  58137. "tid": 0,
  58138. "ts": 1539815917015123,
  58139. "dur": 22,
  58140. "args": {
  58141. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  58142. "op": "Conv2DBackpropFilter"
  58143. }
  58144. },
  58145. {
  58146. "ph": "X",
  58147. "cat": "Op",
  58148. "name": "Conv2DBackpropInput",
  58149. "pid": 23,
  58150. "tid": 0,
  58151. "ts": 1539815917015150,
  58152. "dur": 22,
  58153. "args": {
  58154. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  58155. "op": "Conv2DBackpropInput"
  58156. }
  58157. },
  58158. {
  58159. "ph": "X",
  58160. "cat": "Op",
  58161. "name": "Conv2DBackpropInput",
  58162. "pid": 23,
  58163. "tid": 0,
  58164. "ts": 1539815917015180,
  58165. "dur": 13,
  58166. "args": {
  58167. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  58168. "op": "Conv2DBackpropInput"
  58169. }
  58170. },
  58171. {
  58172. "ph": "X",
  58173. "cat": "Op",
  58174. "name": "Conv2DBackpropInput",
  58175. "pid": 23,
  58176. "tid": 0,
  58177. "ts": 1539815917015197,
  58178. "dur": 2384,
  58179. "args": {
  58180. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  58181. "op": "Conv2DBackpropInput"
  58182. }
  58183. },
  58184. {
  58185. "ph": "X",
  58186. "cat": "Op",
  58187. "name": "Conv2DBackpropInput",
  58188. "pid": 23,
  58189. "tid": 0,
  58190. "ts": 1539815917017627,
  58191. "dur": 13,
  58192. "args": {
  58193. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  58194. "op": "Conv2DBackpropInput"
  58195. }
  58196. },
  58197. {
  58198. "ph": "X",
  58199. "cat": "Op",
  58200. "name": "Conv2DBackpropInput",
  58201. "pid": 23,
  58202. "tid": 0,
  58203. "ts": 1539815917017649,
  58204. "dur": 2380,
  58205. "args": {
  58206. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  58207. "op": "Conv2DBackpropInput"
  58208. }
  58209. },
  58210. {
  58211. "ph": "X",
  58212. "cat": "Op",
  58213. "name": "Conv2DBackpropInput",
  58214. "pid": 23,
  58215. "tid": 0,
  58216. "ts": 1539815917020093,
  58217. "dur": 4,
  58218. "args": {
  58219. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  58220. "op": "Conv2DBackpropInput"
  58221. }
  58222. },
  58223. {
  58224. "ph": "X",
  58225. "cat": "Op",
  58226. "name": "Conv2DBackpropInput",
  58227. "pid": 23,
  58228. "tid": 0,
  58229. "ts": 1539815917020105,
  58230. "dur": 3,
  58231. "args": {
  58232. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  58233. "op": "Conv2DBackpropInput"
  58234. }
  58235. },
  58236. {
  58237. "ph": "X",
  58238. "cat": "Op",
  58239. "name": "Conv2DBackpropInput",
  58240. "pid": 23,
  58241. "tid": 0,
  58242. "ts": 1539815917020120,
  58243. "dur": 2534,
  58244. "args": {
  58245. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  58246. "op": "Conv2DBackpropInput"
  58247. }
  58248. },
  58249. {
  58250. "ph": "X",
  58251. "cat": "Op",
  58252. "name": "Conv2DBackpropInput",
  58253. "pid": 23,
  58254. "tid": 0,
  58255. "ts": 1539815917022707,
  58256. "dur": 4,
  58257. "args": {
  58258. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  58259. "op": "Conv2DBackpropInput"
  58260. }
  58261. },
  58262. {
  58263. "ph": "X",
  58264. "cat": "Op",
  58265. "name": "Conv2DBackpropInput",
  58266. "pid": 23,
  58267. "tid": 0,
  58268. "ts": 1539815917022718,
  58269. "dur": 4,
  58270. "args": {
  58271. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  58272. "op": "Conv2DBackpropInput"
  58273. }
  58274. },
  58275. {
  58276. "ph": "X",
  58277. "cat": "Op",
  58278. "name": "Conv2DBackpropInput",
  58279. "pid": 23,
  58280. "tid": 0,
  58281. "ts": 1539815917022740,
  58282. "dur": 2534,
  58283. "args": {
  58284. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  58285. "op": "Conv2DBackpropInput"
  58286. }
  58287. },
  58288. {
  58289. "ph": "X",
  58290. "cat": "Op",
  58291. "name": "Conv2DBackpropInput",
  58292. "pid": 23,
  58293. "tid": 0,
  58294. "ts": 1539815917025327,
  58295. "dur": 69,
  58296. "args": {
  58297. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  58298. "op": "Conv2DBackpropInput"
  58299. }
  58300. },
  58301. {
  58302. "ph": "X",
  58303. "cat": "Op",
  58304. "name": "Conv2DBackpropInput",
  58305. "pid": 23,
  58306. "tid": 0,
  58307. "ts": 1539815917025534,
  58308. "dur": 4,
  58309. "args": {
  58310. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  58311. "op": "Conv2DBackpropInput"
  58312. }
  58313. },
  58314. {
  58315. "ph": "X",
  58316. "cat": "Op",
  58317. "name": "Conv2DBackpropInput",
  58318. "pid": 23,
  58319. "tid": 0,
  58320. "ts": 1539815917025541,
  58321. "dur": 798,
  58322. "args": {
  58323. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  58324. "op": "Conv2DBackpropInput"
  58325. }
  58326. },
  58327. {
  58328. "ph": "X",
  58329. "cat": "Op",
  58330. "name": "Conv2DBackpropInput",
  58331. "pid": 23,
  58332. "tid": 0,
  58333. "ts": 1539815917026344,
  58334. "dur": 78,
  58335. "args": {
  58336. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  58337. "op": "Conv2DBackpropInput"
  58338. }
  58339. },
  58340. {
  58341. "ph": "X",
  58342. "cat": "Op",
  58343. "name": "Conv2DBackpropInput",
  58344. "pid": 23,
  58345. "tid": 0,
  58346. "ts": 1539815917026469,
  58347. "dur": 70,
  58348. "args": {
  58349. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  58350. "op": "Conv2DBackpropInput"
  58351. }
  58352. },
  58353. {
  58354. "ph": "X",
  58355. "cat": "Op",
  58356. "name": "Conv2DBackpropInput",
  58357. "pid": 23,
  58358. "tid": 0,
  58359. "ts": 1539815917026676,
  58360. "dur": 4,
  58361. "args": {
  58362. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  58363. "op": "Conv2DBackpropInput"
  58364. }
  58365. },
  58366. {
  58367. "ph": "X",
  58368. "cat": "Op",
  58369. "name": "Conv2DBackpropInput",
  58370. "pid": 23,
  58371. "tid": 0,
  58372. "ts": 1539815917026684,
  58373. "dur": 801,
  58374. "args": {
  58375. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  58376. "op": "Conv2DBackpropInput"
  58377. }
  58378. },
  58379. {
  58380. "ph": "X",
  58381. "cat": "Op",
  58382. "name": "Conv2DBackpropInput",
  58383. "pid": 23,
  58384. "tid": 0,
  58385. "ts": 1539815917027490,
  58386. "dur": 79,
  58387. "args": {
  58388. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  58389. "op": "Conv2DBackpropInput"
  58390. }
  58391. },
  58392. {
  58393. "ph": "X",
  58394. "cat": "Op",
  58395. "name": "Conv2DBackpropInput",
  58396. "pid": 23,
  58397. "tid": 0,
  58398. "ts": 1539815917027626,
  58399. "dur": 216,
  58400. "args": {
  58401. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  58402. "op": "Conv2DBackpropInput"
  58403. }
  58404. },
  58405. {
  58406. "ph": "X",
  58407. "cat": "Op",
  58408. "name": "Conv2DBackpropInput",
  58409. "pid": 23,
  58410. "tid": 0,
  58411. "ts": 1539815917030907,
  58412. "dur": 211,
  58413. "args": {
  58414. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  58415. "op": "Conv2DBackpropInput"
  58416. }
  58417. },
  58418. {
  58419. "ph": "X",
  58420. "cat": "Op",
  58421. "name": "Conv2DBackpropInput",
  58422. "pid": 23,
  58423. "tid": 0,
  58424. "ts": 1539815917034198,
  58425. "dur": 557,
  58426. "args": {
  58427. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  58428. "op": "Conv2DBackpropInput"
  58429. }
  58430. },
  58431. {
  58432. "ph": "X",
  58433. "cat": "Op",
  58434. "name": "Conv2DBackpropInput",
  58435. "pid": 23,
  58436. "tid": 0,
  58437. "ts": 1539815917034758,
  58438. "dur": 51,
  58439. "args": {
  58440. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  58441. "op": "Conv2DBackpropInput"
  58442. }
  58443. },
  58444. {
  58445. "ph": "X",
  58446. "cat": "Op",
  58447. "name": "Conv2DBackpropInput",
  58448. "pid": 23,
  58449. "tid": 0,
  58450. "ts": 1539815917034813,
  58451. "dur": 246,
  58452. "args": {
  58453. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  58454. "op": "Conv2DBackpropInput"
  58455. }
  58456. },
  58457. {
  58458. "ph": "X",
  58459. "cat": "Op",
  58460. "name": "Conv2DBackpropInput",
  58461. "pid": 23,
  58462. "tid": 0,
  58463. "ts": 1539815917035063,
  58464. "dur": 224,
  58465. "args": {
  58466. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  58467. "op": "Conv2DBackpropInput"
  58468. }
  58469. },
  58470. {
  58471. "ph": "X",
  58472. "cat": "Op",
  58473. "name": "Conv2DBackpropInput",
  58474. "pid": 23,
  58475. "tid": 0,
  58476. "ts": 1539815917035335,
  58477. "dur": 556,
  58478. "args": {
  58479. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  58480. "op": "Conv2DBackpropInput"
  58481. }
  58482. },
  58483. {
  58484. "ph": "X",
  58485. "cat": "Op",
  58486. "name": "Conv2DBackpropInput",
  58487. "pid": 23,
  58488. "tid": 0,
  58489. "ts": 1539815917035894,
  58490. "dur": 50,
  58491. "args": {
  58492. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  58493. "op": "Conv2DBackpropInput"
  58494. }
  58495. },
  58496. {
  58497. "ph": "X",
  58498. "cat": "Op",
  58499. "name": "Conv2DBackpropInput",
  58500. "pid": 23,
  58501. "tid": 0,
  58502. "ts": 1539815917035948,
  58503. "dur": 245,
  58504. "args": {
  58505. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  58506. "op": "Conv2DBackpropInput"
  58507. }
  58508. },
  58509. {
  58510. "ph": "X",
  58511. "cat": "Op",
  58512. "name": "Conv2DBackpropInput",
  58513. "pid": 23,
  58514. "tid": 0,
  58515. "ts": 1539815917036198,
  58516. "dur": 224,
  58517. "args": {
  58518. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  58519. "op": "Conv2DBackpropInput"
  58520. }
  58521. },
  58522. {
  58523. "ph": "X",
  58524. "cat": "Op",
  58525. "name": "Conv2DBackpropInput",
  58526. "pid": 23,
  58527. "tid": 0,
  58528. "ts": 1539815917036464,
  58529. "dur": 556,
  58530. "args": {
  58531. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  58532. "op": "Conv2DBackpropInput"
  58533. }
  58534. },
  58535. {
  58536. "ph": "X",
  58537. "cat": "Op",
  58538. "name": "Conv2DBackpropInput",
  58539. "pid": 23,
  58540. "tid": 0,
  58541. "ts": 1539815917037023,
  58542. "dur": 51,
  58543. "args": {
  58544. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  58545. "op": "Conv2DBackpropInput"
  58546. }
  58547. },
  58548. {
  58549. "ph": "X",
  58550. "cat": "Op",
  58551. "name": "Conv2DBackpropInput",
  58552. "pid": 23,
  58553. "tid": 0,
  58554. "ts": 1539815917037078,
  58555. "dur": 247,
  58556. "args": {
  58557. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  58558. "op": "Conv2DBackpropInput"
  58559. }
  58560. },
  58561. {
  58562. "ph": "X",
  58563. "cat": "Op",
  58564. "name": "Conv2DBackpropInput",
  58565. "pid": 23,
  58566. "tid": 0,
  58567. "ts": 1539815917037330,
  58568. "dur": 223,
  58569. "args": {
  58570. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  58571. "op": "Conv2DBackpropInput"
  58572. }
  58573. },
  58574. {
  58575. "ph": "X",
  58576. "cat": "Op",
  58577. "name": "FusedBatchNormGrad",
  58578. "pid": 23,
  58579. "tid": 0,
  58580. "ts": 1539815917037556,
  58581. "dur": 4,
  58582. "args": {
  58583. "name": "tower_2/training/TFOptimizer/gradients/tower_2/batch_normalization_2/FusedBatchNorm_grad/FusedBatchNormGrad",
  58584. "op": "FusedBatchNormGrad"
  58585. }
  58586. },
  58587. {
  58588. "ph": "X",
  58589. "cat": "Op",
  58590. "name": "FusedBatchNormGrad",
  58591. "pid": 23,
  58592. "tid": 0,
  58593. "ts": 1539815917037563,
  58594. "dur": 3,
  58595. "args": {
  58596. "name": "tower_2/training/TFOptimizer/gradients/tower_2/batch_normalization_2/FusedBatchNorm_grad/FusedBatchNormGrad",
  58597. "op": "FusedBatchNormGrad"
  58598. }
  58599. },
  58600. {
  58601. "ph": "X",
  58602. "cat": "Op",
  58603. "name": "FusedBatchNormGrad",
  58604. "pid": 23,
  58605. "tid": 0,
  58606. "ts": 1539815917037569,
  58607. "dur": 57,
  58608. "args": {
  58609. "name": "tower_2/training/TFOptimizer/gradients/tower_2/batch_normalization_2/FusedBatchNorm_grad/FusedBatchNormGrad",
  58610. "op": "FusedBatchNormGrad"
  58611. }
  58612. },
  58613. {
  58614. "ph": "X",
  58615. "cat": "Op",
  58616. "name": "Mul",
  58617. "pid": 23,
  58618. "tid": 0,
  58619. "ts": 1539815917037631,
  58620. "dur": 26,
  58621. "args": {
  58622. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_1/dropout/mul_grad/Mul",
  58623. "op": "Mul"
  58624. }
  58625. },
  58626. {
  58627. "ph": "X",
  58628. "cat": "Op",
  58629. "name": "Mul",
  58630. "pid": 23,
  58631. "tid": 0,
  58632. "ts": 1539815917037660,
  58633. "dur": 16,
  58634. "args": {
  58635. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_1/dropout/div_grad/RealDiv",
  58636. "op": "Mul"
  58637. }
  58638. },
  58639. {
  58640. "ph": "X",
  58641. "cat": "Op",
  58642. "name": "Transpose",
  58643. "pid": 23,
  58644. "tid": 0,
  58645. "ts": 1539815917037680,
  58646. "dur": 20,
  58647. "args": {
  58648. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_1/dropout/div_grad/RealDiv-0-0-TransposeNCHWToNHWC-LayoutOptimizer",
  58649. "op": "Transpose"
  58650. }
  58651. },
  58652. {
  58653. "ph": "X",
  58654. "cat": "Op",
  58655. "name": "Transpose",
  58656. "pid": 23,
  58657. "tid": 0,
  58658. "ts": 1539815917037703,
  58659. "dur": 22,
  58660. "args": {
  58661. "name": "tower_2/training/TFOptimizer/gradients/tower_2/max_pooling2d_1/MaxPool_grad/MaxPoolGrad-2-TransposeNHWCToNCHW-LayoutOptimizer",
  58662. "op": "Transpose"
  58663. }
  58664. },
  58665. {
  58666. "ph": "X",
  58667. "cat": "Op",
  58668. "name": "MaxPoolGrad",
  58669. "pid": 23,
  58670. "tid": 0,
  58671. "ts": 1539815917037730,
  58672. "dur": 130,
  58673. "args": {
  58674. "name": "tower_2/training/TFOptimizer/gradients/tower_2/max_pooling2d_1/MaxPool_grad/MaxPoolGrad",
  58675. "op": "MaxPoolGrad"
  58676. }
  58677. },
  58678. {
  58679. "ph": "X",
  58680. "cat": "Op",
  58681. "name": "EluGrad",
  58682. "pid": 23,
  58683. "tid": 0,
  58684. "ts": 1539815917037863,
  58685. "dur": 102,
  58686. "args": {
  58687. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Elu_grad/EluGrad",
  58688. "op": "EluGrad"
  58689. }
  58690. },
  58691. {
  58692. "ph": "X",
  58693. "cat": "Op",
  58694. "name": "BiasAddGrad",
  58695. "pid": 23,
  58696. "tid": 0,
  58697. "ts": 1539815917037976,
  58698. "dur": 59,
  58699. "args": {
  58700. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/BiasAdd_grad/BiasAddGrad",
  58701. "op": "BiasAddGrad"
  58702. }
  58703. },
  58704. {
  58705. "ph": "X",
  58706. "cat": "Op",
  58707. "name": "BiasAddGrad",
  58708. "pid": 23,
  58709. "tid": 0,
  58710. "ts": 1539815917038068,
  58711. "dur": 34,
  58712. "args": {
  58713. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/BiasAdd_grad/BiasAddGrad",
  58714. "op": "BiasAddGrad"
  58715. }
  58716. },
  58717. {
  58718. "ph": "X",
  58719. "cat": "Op",
  58720. "name": "BiasAddGrad",
  58721. "pid": 23,
  58722. "tid": 0,
  58723. "ts": 1539815917038107,
  58724. "dur": 5,
  58725. "args": {
  58726. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/BiasAdd_grad/BiasAddGrad",
  58727. "op": "BiasAddGrad"
  58728. }
  58729. },
  58730. {
  58731. "ph": "X",
  58732. "cat": "Op",
  58733. "name": "BiasAddGrad",
  58734. "pid": 23,
  58735. "tid": 0,
  58736. "ts": 1539815917038115,
  58737. "dur": 5,
  58738. "args": {
  58739. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/BiasAdd_grad/BiasAddGrad",
  58740. "op": "BiasAddGrad"
  58741. }
  58742. },
  58743. {
  58744. "ph": "X",
  58745. "cat": "Op",
  58746. "name": "Conv2DBackpropFilter",
  58747. "pid": 23,
  58748. "tid": 0,
  58749. "ts": 1539815917038239,
  58750. "dur": 2246,
  58751. "args": {
  58752. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  58753. "op": "Conv2DBackpropFilter"
  58754. }
  58755. },
  58756. {
  58757. "ph": "X",
  58758. "cat": "Op",
  58759. "name": "Conv2DBackpropFilter",
  58760. "pid": 23,
  58761. "tid": 0,
  58762. "ts": 1539815917040548,
  58763. "dur": 2253,
  58764. "args": {
  58765. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  58766. "op": "Conv2DBackpropFilter"
  58767. }
  58768. },
  58769. {
  58770. "ph": "X",
  58771. "cat": "Op",
  58772. "name": "Conv2DBackpropFilter",
  58773. "pid": 23,
  58774. "tid": 0,
  58775. "ts": 1539815917042878,
  58776. "dur": 4,
  58777. "args": {
  58778. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  58779. "op": "Conv2DBackpropFilter"
  58780. }
  58781. },
  58782. {
  58783. "ph": "X",
  58784. "cat": "Op",
  58785. "name": "Conv2DBackpropFilter",
  58786. "pid": 23,
  58787. "tid": 0,
  58788. "ts": 1539815917042890,
  58789. "dur": 4,
  58790. "args": {
  58791. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  58792. "op": "Conv2DBackpropFilter"
  58793. }
  58794. },
  58795. {
  58796. "ph": "X",
  58797. "cat": "Op",
  58798. "name": "Conv2DBackpropFilter",
  58799. "pid": 23,
  58800. "tid": 0,
  58801. "ts": 1539815917042899,
  58802. "dur": 3,
  58803. "args": {
  58804. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  58805. "op": "Conv2DBackpropFilter"
  58806. }
  58807. },
  58808. {
  58809. "ph": "X",
  58810. "cat": "Op",
  58811. "name": "Conv2DBackpropFilter",
  58812. "pid": 23,
  58813. "tid": 0,
  58814. "ts": 1539815917042914,
  58815. "dur": 1873,
  58816. "args": {
  58817. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  58818. "op": "Conv2DBackpropFilter"
  58819. }
  58820. },
  58821. {
  58822. "ph": "X",
  58823. "cat": "Op",
  58824. "name": "Conv2DBackpropFilter",
  58825. "pid": 23,
  58826. "tid": 0,
  58827. "ts": 1539815917044852,
  58828. "dur": 3,
  58829. "args": {
  58830. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  58831. "op": "Conv2DBackpropFilter"
  58832. }
  58833. },
  58834. {
  58835. "ph": "X",
  58836. "cat": "Op",
  58837. "name": "Conv2DBackpropFilter",
  58838. "pid": 23,
  58839. "tid": 0,
  58840. "ts": 1539815917044869,
  58841. "dur": 4,
  58842. "args": {
  58843. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  58844. "op": "Conv2DBackpropFilter"
  58845. }
  58846. },
  58847. {
  58848. "ph": "X",
  58849. "cat": "Op",
  58850. "name": "Conv2DBackpropFilter",
  58851. "pid": 23,
  58852. "tid": 0,
  58853. "ts": 1539815917044881,
  58854. "dur": 4,
  58855. "args": {
  58856. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  58857. "op": "Conv2DBackpropFilter"
  58858. }
  58859. },
  58860. {
  58861. "ph": "X",
  58862. "cat": "Op",
  58863. "name": "Conv2DBackpropFilter",
  58864. "pid": 23,
  58865. "tid": 0,
  58866. "ts": 1539815917044891,
  58867. "dur": 1874,
  58868. "args": {
  58869. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  58870. "op": "Conv2DBackpropFilter"
  58871. }
  58872. },
  58873. {
  58874. "ph": "X",
  58875. "cat": "Op",
  58876. "name": "Conv2DBackpropFilter",
  58877. "pid": 23,
  58878. "tid": 0,
  58879. "ts": 1539815917046830,
  58880. "dur": 120,
  58881. "args": {
  58882. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  58883. "op": "Conv2DBackpropFilter"
  58884. }
  58885. },
  58886. {
  58887. "ph": "X",
  58888. "cat": "Op",
  58889. "name": "Conv2DBackpropFilter",
  58890. "pid": 23,
  58891. "tid": 0,
  58892. "ts": 1539815917047125,
  58893. "dur": 299,
  58894. "args": {
  58895. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  58896. "op": "Conv2DBackpropFilter"
  58897. }
  58898. },
  58899. {
  58900. "ph": "X",
  58901. "cat": "Op",
  58902. "name": "Conv2DBackpropFilter",
  58903. "pid": 23,
  58904. "tid": 0,
  58905. "ts": 1539815917047428,
  58906. "dur": 4,
  58907. "args": {
  58908. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  58909. "op": "Conv2DBackpropFilter"
  58910. }
  58911. },
  58912. {
  58913. "ph": "X",
  58914. "cat": "Op",
  58915. "name": "Conv2DBackpropFilter",
  58916. "pid": 23,
  58917. "tid": 0,
  58918. "ts": 1539815917047435,
  58919. "dur": 765,
  58920. "args": {
  58921. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  58922. "op": "Conv2DBackpropFilter"
  58923. }
  58924. },
  58925. {
  58926. "ph": "X",
  58927. "cat": "Op",
  58928. "name": "Conv2DBackpropFilter",
  58929. "pid": 23,
  58930. "tid": 0,
  58931. "ts": 1539815917048205,
  58932. "dur": 78,
  58933. "args": {
  58934. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  58935. "op": "Conv2DBackpropFilter"
  58936. }
  58937. },
  58938. {
  58939. "ph": "X",
  58940. "cat": "Op",
  58941. "name": "Conv2DBackpropFilter",
  58942. "pid": 23,
  58943. "tid": 0,
  58944. "ts": 1539815917048333,
  58945. "dur": 121,
  58946. "args": {
  58947. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  58948. "op": "Conv2DBackpropFilter"
  58949. }
  58950. },
  58951. {
  58952. "ph": "X",
  58953. "cat": "Op",
  58954. "name": "Conv2DBackpropFilter",
  58955. "pid": 23,
  58956. "tid": 0,
  58957. "ts": 1539815917048630,
  58958. "dur": 317,
  58959. "args": {
  58960. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  58961. "op": "Conv2DBackpropFilter"
  58962. }
  58963. },
  58964. {
  58965. "ph": "X",
  58966. "cat": "Op",
  58967. "name": "Conv2DBackpropFilter",
  58968. "pid": 23,
  58969. "tid": 0,
  58970. "ts": 1539815917048952,
  58971. "dur": 5,
  58972. "args": {
  58973. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  58974. "op": "Conv2DBackpropFilter"
  58975. }
  58976. },
  58977. {
  58978. "ph": "X",
  58979. "cat": "Op",
  58980. "name": "Conv2DBackpropFilter",
  58981. "pid": 23,
  58982. "tid": 0,
  58983. "ts": 1539815917048960,
  58984. "dur": 761,
  58985. "args": {
  58986. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  58987. "op": "Conv2DBackpropFilter"
  58988. }
  58989. },
  58990. {
  58991. "ph": "X",
  58992. "cat": "Op",
  58993. "name": "Conv2DBackpropFilter",
  58994. "pid": 23,
  58995. "tid": 0,
  58996. "ts": 1539815917049726,
  58997. "dur": 78,
  58998. "args": {
  58999. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  59000. "op": "Conv2DBackpropFilter"
  59001. }
  59002. },
  59003. {
  59004. "ph": "X",
  59005. "cat": "Op",
  59006. "name": "Conv2DBackpropFilter",
  59007. "pid": 23,
  59008. "tid": 0,
  59009. "ts": 1539815917049869,
  59010. "dur": 4,
  59011. "args": {
  59012. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  59013. "op": "Conv2DBackpropFilter"
  59014. }
  59015. },
  59016. {
  59017. "ph": "X",
  59018. "cat": "Op",
  59019. "name": "Conv2DBackpropFilter",
  59020. "pid": 23,
  59021. "tid": 0,
  59022. "ts": 1539815917049882,
  59023. "dur": 5,
  59024. "args": {
  59025. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  59026. "op": "Conv2DBackpropFilter"
  59027. }
  59028. },
  59029. {
  59030. "ph": "X",
  59031. "cat": "Op",
  59032. "name": "Conv2DBackpropFilter",
  59033. "pid": 23,
  59034. "tid": 0,
  59035. "ts": 1539815917049900,
  59036. "dur": 3,
  59037. "args": {
  59038. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  59039. "op": "Conv2DBackpropFilter"
  59040. }
  59041. },
  59042. {
  59043. "ph": "X",
  59044. "cat": "Op",
  59045. "name": "Conv2DBackpropFilter",
  59046. "pid": 23,
  59047. "tid": 0,
  59048. "ts": 1539815917049911,
  59049. "dur": 1875,
  59050. "args": {
  59051. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  59052. "op": "Conv2DBackpropFilter"
  59053. }
  59054. },
  59055. {
  59056. "ph": "X",
  59057. "cat": "Op",
  59058. "name": "Conv2DBackpropFilter",
  59059. "pid": 23,
  59060. "tid": 0,
  59061. "ts": 1539815917051853,
  59062. "dur": 4,
  59063. "args": {
  59064. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  59065. "op": "Conv2DBackpropFilter"
  59066. }
  59067. },
  59068. {
  59069. "ph": "X",
  59070. "cat": "Op",
  59071. "name": "Conv2DBackpropFilter",
  59072. "pid": 23,
  59073. "tid": 0,
  59074. "ts": 1539815917051863,
  59075. "dur": 5,
  59076. "args": {
  59077. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  59078. "op": "Conv2DBackpropFilter"
  59079. }
  59080. },
  59081. {
  59082. "ph": "X",
  59083. "cat": "Op",
  59084. "name": "Conv2DBackpropFilter",
  59085. "pid": 23,
  59086. "tid": 0,
  59087. "ts": 1539815917051873,
  59088. "dur": 3,
  59089. "args": {
  59090. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  59091. "op": "Conv2DBackpropFilter"
  59092. }
  59093. },
  59094. {
  59095. "ph": "X",
  59096. "cat": "Op",
  59097. "name": "Conv2DBackpropFilter",
  59098. "pid": 23,
  59099. "tid": 0,
  59100. "ts": 1539815917051884,
  59101. "dur": 1875,
  59102. "args": {
  59103. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  59104. "op": "Conv2DBackpropFilter"
  59105. }
  59106. },
  59107. {
  59108. "ph": "X",
  59109. "cat": "Op",
  59110. "name": "Conv2DBackpropFilter",
  59111. "pid": 23,
  59112. "tid": 0,
  59113. "ts": 1539815917053804,
  59114. "dur": 174,
  59115. "args": {
  59116. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  59117. "op": "Conv2DBackpropFilter"
  59118. }
  59119. },
  59120. {
  59121. "ph": "X",
  59122. "cat": "Op",
  59123. "name": "Conv2DBackpropFilter",
  59124. "pid": 23,
  59125. "tid": 0,
  59126. "ts": 1539815917053981,
  59127. "dur": 194,
  59128. "args": {
  59129. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  59130. "op": "Conv2DBackpropFilter"
  59131. }
  59132. },
  59133. {
  59134. "ph": "X",
  59135. "cat": "Op",
  59136. "name": "Conv2DBackpropFilter",
  59137. "pid": 23,
  59138. "tid": 0,
  59139. "ts": 1539815917054179,
  59140. "dur": 319,
  59141. "args": {
  59142. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  59143. "op": "Conv2DBackpropFilter"
  59144. }
  59145. },
  59146. {
  59147. "ph": "X",
  59148. "cat": "Op",
  59149. "name": "Conv2DBackpropFilter",
  59150. "pid": 23,
  59151. "tid": 0,
  59152. "ts": 1539815917054502,
  59153. "dur": 22,
  59154. "args": {
  59155. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  59156. "op": "Conv2DBackpropFilter"
  59157. }
  59158. },
  59159. {
  59160. "ph": "X",
  59161. "cat": "Op",
  59162. "name": "Conv2DBackpropFilter",
  59163. "pid": 23,
  59164. "tid": 0,
  59165. "ts": 1539815917054567,
  59166. "dur": 174,
  59167. "args": {
  59168. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  59169. "op": "Conv2DBackpropFilter"
  59170. }
  59171. },
  59172. {
  59173. "ph": "X",
  59174. "cat": "Op",
  59175. "name": "Conv2DBackpropFilter",
  59176. "pid": 23,
  59177. "tid": 0,
  59178. "ts": 1539815917054745,
  59179. "dur": 195,
  59180. "args": {
  59181. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  59182. "op": "Conv2DBackpropFilter"
  59183. }
  59184. },
  59185. {
  59186. "ph": "X",
  59187. "cat": "Op",
  59188. "name": "Conv2DBackpropFilter",
  59189. "pid": 23,
  59190. "tid": 0,
  59191. "ts": 1539815917054944,
  59192. "dur": 320,
  59193. "args": {
  59194. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  59195. "op": "Conv2DBackpropFilter"
  59196. }
  59197. },
  59198. {
  59199. "ph": "X",
  59200. "cat": "Op",
  59201. "name": "Conv2DBackpropFilter",
  59202. "pid": 23,
  59203. "tid": 0,
  59204. "ts": 1539815917055268,
  59205. "dur": 21,
  59206. "args": {
  59207. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  59208. "op": "Conv2DBackpropFilter"
  59209. }
  59210. },
  59211. {
  59212. "ph": "X",
  59213. "cat": "Op",
  59214. "name": "Conv2DBackpropFilter",
  59215. "pid": 23,
  59216. "tid": 0,
  59217. "ts": 1539815917055334,
  59218. "dur": 172,
  59219. "args": {
  59220. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  59221. "op": "Conv2DBackpropFilter"
  59222. }
  59223. },
  59224. {
  59225. "ph": "X",
  59226. "cat": "Op",
  59227. "name": "Conv2DBackpropFilter",
  59228. "pid": 23,
  59229. "tid": 0,
  59230. "ts": 1539815917055511,
  59231. "dur": 194,
  59232. "args": {
  59233. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  59234. "op": "Conv2DBackpropFilter"
  59235. }
  59236. },
  59237. {
  59238. "ph": "X",
  59239. "cat": "Op",
  59240. "name": "Conv2DBackpropFilter",
  59241. "pid": 23,
  59242. "tid": 0,
  59243. "ts": 1539815917055712,
  59244. "dur": 319,
  59245. "args": {
  59246. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  59247. "op": "Conv2DBackpropFilter"
  59248. }
  59249. },
  59250. {
  59251. "ph": "X",
  59252. "cat": "Op",
  59253. "name": "Conv2DBackpropFilter",
  59254. "pid": 23,
  59255. "tid": 0,
  59256. "ts": 1539815917056035,
  59257. "dur": 21,
  59258. "args": {
  59259. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  59260. "op": "Conv2DBackpropFilter"
  59261. }
  59262. },
  59263. {
  59264. "ph": "X",
  59265. "cat": "Op",
  59266. "name": "Conv2DBackpropFilter",
  59267. "pid": 23,
  59268. "tid": 0,
  59269. "ts": 1539815917056060,
  59270. "dur": 9,
  59271. "args": {
  59272. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  59273. "op": "Conv2DBackpropFilter"
  59274. }
  59275. },
  59276. {
  59277. "ph": "X",
  59278. "cat": "Op",
  59279. "name": "Conv2DBackpropInput",
  59280. "pid": 23,
  59281. "tid": 0,
  59282. "ts": 1539815917056073,
  59283. "dur": 8,
  59284. "args": {
  59285. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  59286. "op": "Conv2DBackpropInput"
  59287. }
  59288. },
  59289. {
  59290. "ph": "X",
  59291. "cat": "Op",
  59292. "name": "Conv2DBackpropInput",
  59293. "pid": 23,
  59294. "tid": 0,
  59295. "ts": 1539815917056088,
  59296. "dur": 23,
  59297. "args": {
  59298. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  59299. "op": "Conv2DBackpropInput"
  59300. }
  59301. },
  59302. {
  59303. "ph": "X",
  59304. "cat": "Op",
  59305. "name": "Conv2DBackpropInput",
  59306. "pid": 23,
  59307. "tid": 0,
  59308. "ts": 1539815917056116,
  59309. "dur": 3107,
  59310. "args": {
  59311. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  59312. "op": "Conv2DBackpropInput"
  59313. }
  59314. },
  59315. {
  59316. "ph": "X",
  59317. "cat": "Op",
  59318. "name": "Conv2DBackpropInput",
  59319. "pid": 23,
  59320. "tid": 0,
  59321. "ts": 1539815917059267,
  59322. "dur": 24,
  59323. "args": {
  59324. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  59325. "op": "Conv2DBackpropInput"
  59326. }
  59327. },
  59328. {
  59329. "ph": "X",
  59330. "cat": "Op",
  59331. "name": "Conv2DBackpropInput",
  59332. "pid": 23,
  59333. "tid": 0,
  59334. "ts": 1539815917059294,
  59335. "dur": 3117,
  59336. "args": {
  59337. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  59338. "op": "Conv2DBackpropInput"
  59339. }
  59340. },
  59341. {
  59342. "ph": "X",
  59343. "cat": "Op",
  59344. "name": "Conv2DBackpropInput",
  59345. "pid": 23,
  59346. "tid": 0,
  59347. "ts": 1539815917062465,
  59348. "dur": 4,
  59349. "args": {
  59350. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  59351. "op": "Conv2DBackpropInput"
  59352. }
  59353. },
  59354. {
  59355. "ph": "X",
  59356. "cat": "Op",
  59357. "name": "Conv2DBackpropInput",
  59358. "pid": 23,
  59359. "tid": 0,
  59360. "ts": 1539815917062478,
  59361. "dur": 4,
  59362. "args": {
  59363. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  59364. "op": "Conv2DBackpropInput"
  59365. }
  59366. },
  59367. {
  59368. "ph": "X",
  59369. "cat": "Op",
  59370. "name": "Conv2DBackpropInput",
  59371. "pid": 23,
  59372. "tid": 0,
  59373. "ts": 1539815917062491,
  59374. "dur": 1962,
  59375. "args": {
  59376. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  59377. "op": "Conv2DBackpropInput"
  59378. }
  59379. },
  59380. {
  59381. "ph": "X",
  59382. "cat": "Op",
  59383. "name": "Conv2DBackpropInput",
  59384. "pid": 23,
  59385. "tid": 0,
  59386. "ts": 1539815917064509,
  59387. "dur": 4,
  59388. "args": {
  59389. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  59390. "op": "Conv2DBackpropInput"
  59391. }
  59392. },
  59393. {
  59394. "ph": "X",
  59395. "cat": "Op",
  59396. "name": "Conv2DBackpropInput",
  59397. "pid": 23,
  59398. "tid": 0,
  59399. "ts": 1539815917064521,
  59400. "dur": 3,
  59401. "args": {
  59402. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  59403. "op": "Conv2DBackpropInput"
  59404. }
  59405. },
  59406. {
  59407. "ph": "X",
  59408. "cat": "Op",
  59409. "name": "Conv2DBackpropInput",
  59410. "pid": 23,
  59411. "tid": 0,
  59412. "ts": 1539815917064532,
  59413. "dur": 1960,
  59414. "args": {
  59415. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  59416. "op": "Conv2DBackpropInput"
  59417. }
  59418. },
  59419. {
  59420. "ph": "X",
  59421. "cat": "Op",
  59422. "name": "Conv2DBackpropInput",
  59423. "pid": 23,
  59424. "tid": 0,
  59425. "ts": 1539815917066548,
  59426. "dur": 67,
  59427. "args": {
  59428. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  59429. "op": "Conv2DBackpropInput"
  59430. }
  59431. },
  59432. {
  59433. "ph": "X",
  59434. "cat": "Op",
  59435. "name": "Conv2DBackpropInput",
  59436. "pid": 23,
  59437. "tid": 0,
  59438. "ts": 1539815917066924,
  59439. "dur": 4,
  59440. "args": {
  59441. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  59442. "op": "Conv2DBackpropInput"
  59443. }
  59444. },
  59445. {
  59446. "ph": "X",
  59447. "cat": "Op",
  59448. "name": "Conv2DBackpropInput",
  59449. "pid": 23,
  59450. "tid": 0,
  59451. "ts": 1539815917066931,
  59452. "dur": 751,
  59453. "args": {
  59454. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  59455. "op": "Conv2DBackpropInput"
  59456. }
  59457. },
  59458. {
  59459. "ph": "X",
  59460. "cat": "Op",
  59461. "name": "Conv2DBackpropInput",
  59462. "pid": 23,
  59463. "tid": 0,
  59464. "ts": 1539815917067687,
  59465. "dur": 148,
  59466. "args": {
  59467. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  59468. "op": "Conv2DBackpropInput"
  59469. }
  59470. },
  59471. {
  59472. "ph": "X",
  59473. "cat": "Op",
  59474. "name": "Conv2DBackpropInput",
  59475. "pid": 23,
  59476. "tid": 0,
  59477. "ts": 1539815917067888,
  59478. "dur": 67,
  59479. "args": {
  59480. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  59481. "op": "Conv2DBackpropInput"
  59482. }
  59483. },
  59484. {
  59485. "ph": "X",
  59486. "cat": "Op",
  59487. "name": "Conv2DBackpropInput",
  59488. "pid": 23,
  59489. "tid": 0,
  59490. "ts": 1539815917068268,
  59491. "dur": 5,
  59492. "args": {
  59493. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  59494. "op": "Conv2DBackpropInput"
  59495. }
  59496. },
  59497. {
  59498. "ph": "X",
  59499. "cat": "Op",
  59500. "name": "Conv2DBackpropInput",
  59501. "pid": 23,
  59502. "tid": 0,
  59503. "ts": 1539815917068278,
  59504. "dur": 748,
  59505. "args": {
  59506. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  59507. "op": "Conv2DBackpropInput"
  59508. }
  59509. },
  59510. {
  59511. "ph": "X",
  59512. "cat": "Op",
  59513. "name": "Conv2DBackpropInput",
  59514. "pid": 23,
  59515. "tid": 0,
  59516. "ts": 1539815917069030,
  59517. "dur": 145,
  59518. "args": {
  59519. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  59520. "op": "Conv2DBackpropInput"
  59521. }
  59522. },
  59523. {
  59524. "ph": "X",
  59525. "cat": "Op",
  59526. "name": "Conv2DBackpropInput",
  59527. "pid": 23,
  59528. "tid": 0,
  59529. "ts": 1539815917069231,
  59530. "dur": 67,
  59531. "args": {
  59532. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  59533. "op": "Conv2DBackpropInput"
  59534. }
  59535. },
  59536. {
  59537. "ph": "X",
  59538. "cat": "Op",
  59539. "name": "Conv2DBackpropInput",
  59540. "pid": 23,
  59541. "tid": 0,
  59542. "ts": 1539815917070427,
  59543. "dur": 65,
  59544. "args": {
  59545. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  59546. "op": "Conv2DBackpropInput"
  59547. }
  59548. },
  59549. {
  59550. "ph": "X",
  59551. "cat": "Op",
  59552. "name": "Conv2DBackpropInput",
  59553. "pid": 23,
  59554. "tid": 0,
  59555. "ts": 1539815917071637,
  59556. "dur": 332,
  59557. "args": {
  59558. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  59559. "op": "Conv2DBackpropInput"
  59560. }
  59561. },
  59562. {
  59563. "ph": "X",
  59564. "cat": "Op",
  59565. "name": "Conv2DBackpropInput",
  59566. "pid": 23,
  59567. "tid": 0,
  59568. "ts": 1539815917071974,
  59569. "dur": 16,
  59570. "args": {
  59571. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  59572. "op": "Conv2DBackpropInput"
  59573. }
  59574. },
  59575. {
  59576. "ph": "X",
  59577. "cat": "Op",
  59578. "name": "Conv2DBackpropInput",
  59579. "pid": 23,
  59580. "tid": 0,
  59581. "ts": 1539815917071995,
  59582. "dur": 245,
  59583. "args": {
  59584. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  59585. "op": "Conv2DBackpropInput"
  59586. }
  59587. },
  59588. {
  59589. "ph": "X",
  59590. "cat": "Op",
  59591. "name": "Conv2DBackpropInput",
  59592. "pid": 23,
  59593. "tid": 0,
  59594. "ts": 1539815917072244,
  59595. "dur": 149,
  59596. "args": {
  59597. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  59598. "op": "Conv2DBackpropInput"
  59599. }
  59600. },
  59601. {
  59602. "ph": "X",
  59603. "cat": "Op",
  59604. "name": "Conv2DBackpropInput",
  59605. "pid": 23,
  59606. "tid": 0,
  59607. "ts": 1539815917072437,
  59608. "dur": 329,
  59609. "args": {
  59610. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  59611. "op": "Conv2DBackpropInput"
  59612. }
  59613. },
  59614. {
  59615. "ph": "X",
  59616. "cat": "Op",
  59617. "name": "Conv2DBackpropInput",
  59618. "pid": 23,
  59619. "tid": 0,
  59620. "ts": 1539815917072771,
  59621. "dur": 16,
  59622. "args": {
  59623. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  59624. "op": "Conv2DBackpropInput"
  59625. }
  59626. },
  59627. {
  59628. "ph": "X",
  59629. "cat": "Op",
  59630. "name": "Conv2DBackpropInput",
  59631. "pid": 23,
  59632. "tid": 0,
  59633. "ts": 1539815917072790,
  59634. "dur": 246,
  59635. "args": {
  59636. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  59637. "op": "Conv2DBackpropInput"
  59638. }
  59639. },
  59640. {
  59641. "ph": "X",
  59642. "cat": "Op",
  59643. "name": "Conv2DBackpropInput",
  59644. "pid": 23,
  59645. "tid": 0,
  59646. "ts": 1539815917073040,
  59647. "dur": 142,
  59648. "args": {
  59649. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  59650. "op": "Conv2DBackpropInput"
  59651. }
  59652. },
  59653. {
  59654. "ph": "X",
  59655. "cat": "Op",
  59656. "name": "Conv2DBackpropInput",
  59657. "pid": 23,
  59658. "tid": 0,
  59659. "ts": 1539815917073223,
  59660. "dur": 302,
  59661. "args": {
  59662. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  59663. "op": "Conv2DBackpropInput"
  59664. }
  59665. },
  59666. {
  59667. "ph": "X",
  59668. "cat": "Op",
  59669. "name": "Conv2DBackpropInput",
  59670. "pid": 23,
  59671. "tid": 0,
  59672. "ts": 1539815917073529,
  59673. "dur": 16,
  59674. "args": {
  59675. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  59676. "op": "Conv2DBackpropInput"
  59677. }
  59678. },
  59679. {
  59680. "ph": "X",
  59681. "cat": "Op",
  59682. "name": "Conv2DBackpropInput",
  59683. "pid": 23,
  59684. "tid": 0,
  59685. "ts": 1539815917073548,
  59686. "dur": 230,
  59687. "args": {
  59688. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  59689. "op": "Conv2DBackpropInput"
  59690. }
  59691. },
  59692. {
  59693. "ph": "X",
  59694. "cat": "Op",
  59695. "name": "Conv2DBackpropInput",
  59696. "pid": 23,
  59697. "tid": 0,
  59698. "ts": 1539815917073782,
  59699. "dur": 143,
  59700. "args": {
  59701. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  59702. "op": "Conv2DBackpropInput"
  59703. }
  59704. },
  59705. {
  59706. "ph": "X",
  59707. "cat": "Op",
  59708. "name": "FusedBatchNormGrad",
  59709. "pid": 23,
  59710. "tid": 0,
  59711. "ts": 1539815917073928,
  59712. "dur": 4,
  59713. "args": {
  59714. "name": "tower_2/training/TFOptimizer/gradients/tower_2/batch_normalization_1/FusedBatchNorm_grad/FusedBatchNormGrad",
  59715. "op": "FusedBatchNormGrad"
  59716. }
  59717. },
  59718. {
  59719. "ph": "X",
  59720. "cat": "Op",
  59721. "name": "FusedBatchNormGrad",
  59722. "pid": 23,
  59723. "tid": 0,
  59724. "ts": 1539815917073935,
  59725. "dur": 3,
  59726. "args": {
  59727. "name": "tower_2/training/TFOptimizer/gradients/tower_2/batch_normalization_1/FusedBatchNorm_grad/FusedBatchNormGrad",
  59728. "op": "FusedBatchNormGrad"
  59729. }
  59730. },
  59731. {
  59732. "ph": "X",
  59733. "cat": "Op",
  59734. "name": "FusedBatchNormGrad",
  59735. "pid": 23,
  59736. "tid": 0,
  59737. "ts": 1539815917073941,
  59738. "dur": 110,
  59739. "args": {
  59740. "name": "tower_2/training/TFOptimizer/gradients/tower_2/batch_normalization_1/FusedBatchNorm_grad/FusedBatchNormGrad",
  59741. "op": "FusedBatchNormGrad"
  59742. }
  59743. },
  59744. {
  59745. "ph": "X",
  59746. "cat": "Op",
  59747. "name": "Mul",
  59748. "pid": 23,
  59749. "tid": 0,
  59750. "ts": 1539815917074055,
  59751. "dur": 49,
  59752. "args": {
  59753. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout/dropout/mul_grad/Mul",
  59754. "op": "Mul"
  59755. }
  59756. },
  59757. {
  59758. "ph": "X",
  59759. "cat": "Op",
  59760. "name": "Mul",
  59761. "pid": 23,
  59762. "tid": 0,
  59763. "ts": 1539815917074107,
  59764. "dur": 35,
  59765. "args": {
  59766. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout/dropout/div_grad/RealDiv",
  59767. "op": "Mul"
  59768. }
  59769. },
  59770. {
  59771. "ph": "X",
  59772. "cat": "Op",
  59773. "name": "Transpose",
  59774. "pid": 23,
  59775. "tid": 0,
  59776. "ts": 1539815917074147,
  59777. "dur": 36,
  59778. "args": {
  59779. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout/dropout/div_grad/RealDiv-0-0-TransposeNCHWToNHWC-LayoutOptimizer",
  59780. "op": "Transpose"
  59781. }
  59782. },
  59783. {
  59784. "ph": "X",
  59785. "cat": "Op",
  59786. "name": "Transpose",
  59787. "pid": 23,
  59788. "tid": 0,
  59789. "ts": 1539815917074187,
  59790. "dur": 37,
  59791. "args": {
  59792. "name": "tower_2/training/TFOptimizer/gradients/tower_2/max_pooling2d/MaxPool_grad/MaxPoolGrad-2-TransposeNHWCToNCHW-LayoutOptimizer",
  59793. "op": "Transpose"
  59794. }
  59795. },
  59796. {
  59797. "ph": "X",
  59798. "cat": "Op",
  59799. "name": "MaxPoolGrad",
  59800. "pid": 23,
  59801. "tid": 0,
  59802. "ts": 1539815917074228,
  59803. "dur": 169,
  59804. "args": {
  59805. "name": "tower_2/training/TFOptimizer/gradients/tower_2/max_pooling2d/MaxPool_grad/MaxPoolGrad",
  59806. "op": "MaxPoolGrad"
  59807. }
  59808. },
  59809. {
  59810. "ph": "X",
  59811. "cat": "Op",
  59812. "name": "EluGrad",
  59813. "pid": 23,
  59814. "tid": 0,
  59815. "ts": 1539815917074402,
  59816. "dur": 199,
  59817. "args": {
  59818. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Elu_grad/EluGrad",
  59819. "op": "EluGrad"
  59820. }
  59821. },
  59822. {
  59823. "ph": "X",
  59824. "cat": "Op",
  59825. "name": "BiasAddGrad",
  59826. "pid": 23,
  59827. "tid": 0,
  59828. "ts": 1539815917074612,
  59829. "dur": 100,
  59830. "args": {
  59831. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/BiasAdd_grad/BiasAddGrad",
  59832. "op": "BiasAddGrad"
  59833. }
  59834. },
  59835. {
  59836. "ph": "X",
  59837. "cat": "Op",
  59838. "name": "BiasAddGrad",
  59839. "pid": 23,
  59840. "tid": 0,
  59841. "ts": 1539815917074753,
  59842. "dur": 63,
  59843. "args": {
  59844. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/BiasAdd_grad/BiasAddGrad",
  59845. "op": "BiasAddGrad"
  59846. }
  59847. },
  59848. {
  59849. "ph": "X",
  59850. "cat": "Op",
  59851. "name": "BiasAddGrad",
  59852. "pid": 23,
  59853. "tid": 0,
  59854. "ts": 1539815917074820,
  59855. "dur": 4,
  59856. "args": {
  59857. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/BiasAdd_grad/BiasAddGrad",
  59858. "op": "BiasAddGrad"
  59859. }
  59860. },
  59861. {
  59862. "ph": "X",
  59863. "cat": "Op",
  59864. "name": "BiasAddGrad",
  59865. "pid": 23,
  59866. "tid": 0,
  59867. "ts": 1539815917074827,
  59868. "dur": 5,
  59869. "args": {
  59870. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/BiasAdd_grad/BiasAddGrad",
  59871. "op": "BiasAddGrad"
  59872. }
  59873. },
  59874. {
  59875. "ph": "X",
  59876. "cat": "Op",
  59877. "name": "Conv2DBackpropFilter",
  59878. "pid": 23,
  59879. "tid": 0,
  59880. "ts": 1539815917074947,
  59881. "dur": 222,
  59882. "args": {
  59883. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  59884. "op": "Conv2DBackpropFilter"
  59885. }
  59886. },
  59887. {
  59888. "ph": "X",
  59889. "cat": "Op",
  59890. "name": "Conv2DBackpropFilter",
  59891. "pid": 23,
  59892. "tid": 0,
  59893. "ts": 1539815917075225,
  59894. "dur": 221,
  59895. "args": {
  59896. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  59897. "op": "Conv2DBackpropFilter"
  59898. }
  59899. },
  59900. {
  59901. "ph": "X",
  59902. "cat": "Op",
  59903. "name": "Conv2DBackpropFilter",
  59904. "pid": 23,
  59905. "tid": 0,
  59906. "ts": 1539815917075514,
  59907. "dur": 4,
  59908. "args": {
  59909. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  59910. "op": "Conv2DBackpropFilter"
  59911. }
  59912. },
  59913. {
  59914. "ph": "X",
  59915. "cat": "Op",
  59916. "name": "Conv2DBackpropFilter",
  59917. "pid": 23,
  59918. "tid": 0,
  59919. "ts": 1539815917075525,
  59920. "dur": 3,
  59921. "args": {
  59922. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  59923. "op": "Conv2DBackpropFilter"
  59924. }
  59925. },
  59926. {
  59927. "ph": "X",
  59928. "cat": "Op",
  59929. "name": "Conv2DBackpropFilter",
  59930. "pid": 23,
  59931. "tid": 0,
  59932. "ts": 1539815917075536,
  59933. "dur": 3,
  59934. "args": {
  59935. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  59936. "op": "Conv2DBackpropFilter"
  59937. }
  59938. },
  59939. {
  59940. "ph": "X",
  59941. "cat": "Op",
  59942. "name": "Conv2DBackpropFilter",
  59943. "pid": 23,
  59944. "tid": 0,
  59945. "ts": 1539815917075547,
  59946. "dur": 940,
  59947. "args": {
  59948. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  59949. "op": "Conv2DBackpropFilter"
  59950. }
  59951. },
  59952. {
  59953. "ph": "X",
  59954. "cat": "Op",
  59955. "name": "Conv2DBackpropFilter",
  59956. "pid": 23,
  59957. "tid": 0,
  59958. "ts": 1539815917076549,
  59959. "dur": 3,
  59960. "args": {
  59961. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  59962. "op": "Conv2DBackpropFilter"
  59963. }
  59964. },
  59965. {
  59966. "ph": "X",
  59967. "cat": "Op",
  59968. "name": "Conv2DBackpropFilter",
  59969. "pid": 23,
  59970. "tid": 0,
  59971. "ts": 1539815917076561,
  59972. "dur": 3,
  59973. "args": {
  59974. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  59975. "op": "Conv2DBackpropFilter"
  59976. }
  59977. },
  59978. {
  59979. "ph": "X",
  59980. "cat": "Op",
  59981. "name": "Conv2DBackpropFilter",
  59982. "pid": 23,
  59983. "tid": 0,
  59984. "ts": 1539815917076570,
  59985. "dur": 3,
  59986. "args": {
  59987. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  59988. "op": "Conv2DBackpropFilter"
  59989. }
  59990. },
  59991. {
  59992. "ph": "X",
  59993. "cat": "Op",
  59994. "name": "Conv2DBackpropFilter",
  59995. "pid": 23,
  59996. "tid": 0,
  59997. "ts": 1539815917076579,
  59998. "dur": 941,
  59999. "args": {
  60000. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  60001. "op": "Conv2DBackpropFilter"
  60002. }
  60003. },
  60004. {
  60005. "ph": "X",
  60006. "cat": "Op",
  60007. "name": "Conv2DBackpropFilter",
  60008. "pid": 23,
  60009. "tid": 0,
  60010. "ts": 1539815917077567,
  60011. "dur": 455,
  60012. "args": {
  60013. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  60014. "op": "Conv2DBackpropFilter"
  60015. }
  60016. },
  60017. {
  60018. "ph": "X",
  60019. "cat": "Op",
  60020. "name": "Conv2DBackpropFilter",
  60021. "pid": 23,
  60022. "tid": 0,
  60023. "ts": 1539815917078050,
  60024. "dur": 192,
  60025. "args": {
  60026. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  60027. "op": "Conv2DBackpropFilter"
  60028. }
  60029. },
  60030. {
  60031. "ph": "X",
  60032. "cat": "Op",
  60033. "name": "Conv2DBackpropFilter",
  60034. "pid": 23,
  60035. "tid": 0,
  60036. "ts": 1539815917078246,
  60037. "dur": 4,
  60038. "args": {
  60039. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  60040. "op": "Conv2DBackpropFilter"
  60041. }
  60042. },
  60043. {
  60044. "ph": "X",
  60045. "cat": "Op",
  60046. "name": "Conv2DBackpropFilter",
  60047. "pid": 23,
  60048. "tid": 0,
  60049. "ts": 1539815917078253,
  60050. "dur": 358,
  60051. "args": {
  60052. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  60053. "op": "Conv2DBackpropFilter"
  60054. }
  60055. },
  60056. {
  60057. "ph": "X",
  60058. "cat": "Op",
  60059. "name": "Conv2DBackpropFilter",
  60060. "pid": 23,
  60061. "tid": 0,
  60062. "ts": 1539815917078615,
  60063. "dur": 17,
  60064. "args": {
  60065. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  60066. "op": "Conv2DBackpropFilter"
  60067. }
  60068. },
  60069. {
  60070. "ph": "X",
  60071. "cat": "Op",
  60072. "name": "Conv2DBackpropFilter",
  60073. "pid": 23,
  60074. "tid": 0,
  60075. "ts": 1539815917078679,
  60076. "dur": 455,
  60077. "args": {
  60078. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  60079. "op": "Conv2DBackpropFilter"
  60080. }
  60081. },
  60082. {
  60083. "ph": "X",
  60084. "cat": "Op",
  60085. "name": "Conv2DBackpropFilter",
  60086. "pid": 23,
  60087. "tid": 0,
  60088. "ts": 1539815917079161,
  60089. "dur": 193,
  60090. "args": {
  60091. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  60092. "op": "Conv2DBackpropFilter"
  60093. }
  60094. },
  60095. {
  60096. "ph": "X",
  60097. "cat": "Op",
  60098. "name": "Conv2DBackpropFilter",
  60099. "pid": 23,
  60100. "tid": 0,
  60101. "ts": 1539815917079357,
  60102. "dur": 4,
  60103. "args": {
  60104. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  60105. "op": "Conv2DBackpropFilter"
  60106. }
  60107. },
  60108. {
  60109. "ph": "X",
  60110. "cat": "Op",
  60111. "name": "Conv2DBackpropFilter",
  60112. "pid": 23,
  60113. "tid": 0,
  60114. "ts": 1539815917079364,
  60115. "dur": 358,
  60116. "args": {
  60117. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  60118. "op": "Conv2DBackpropFilter"
  60119. }
  60120. },
  60121. {
  60122. "ph": "X",
  60123. "cat": "Op",
  60124. "name": "Conv2DBackpropFilter",
  60125. "pid": 23,
  60126. "tid": 0,
  60127. "ts": 1539815917079727,
  60128. "dur": 18,
  60129. "args": {
  60130. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  60131. "op": "Conv2DBackpropFilter"
  60132. }
  60133. },
  60134. {
  60135. "ph": "X",
  60136. "cat": "Op",
  60137. "name": "Conv2DBackpropFilter",
  60138. "pid": 23,
  60139. "tid": 0,
  60140. "ts": 1539815917079810,
  60141. "dur": 4,
  60142. "args": {
  60143. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  60144. "op": "Conv2DBackpropFilter"
  60145. }
  60146. },
  60147. {
  60148. "ph": "X",
  60149. "cat": "Op",
  60150. "name": "Conv2DBackpropFilter",
  60151. "pid": 23,
  60152. "tid": 0,
  60153. "ts": 1539815917079822,
  60154. "dur": 3,
  60155. "args": {
  60156. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  60157. "op": "Conv2DBackpropFilter"
  60158. }
  60159. },
  60160. {
  60161. "ph": "X",
  60162. "cat": "Op",
  60163. "name": "Conv2DBackpropFilter",
  60164. "pid": 23,
  60165. "tid": 0,
  60166. "ts": 1539815917079831,
  60167. "dur": 3,
  60168. "args": {
  60169. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  60170. "op": "Conv2DBackpropFilter"
  60171. }
  60172. },
  60173. {
  60174. "ph": "X",
  60175. "cat": "Op",
  60176. "name": "Conv2DBackpropFilter",
  60177. "pid": 23,
  60178. "tid": 0,
  60179. "ts": 1539815917079842,
  60180. "dur": 940,
  60181. "args": {
  60182. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  60183. "op": "Conv2DBackpropFilter"
  60184. }
  60185. },
  60186. {
  60187. "ph": "X",
  60188. "cat": "Op",
  60189. "name": "Conv2DBackpropFilter",
  60190. "pid": 23,
  60191. "tid": 0,
  60192. "ts": 1539815917080840,
  60193. "dur": 3,
  60194. "args": {
  60195. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  60196. "op": "Conv2DBackpropFilter"
  60197. }
  60198. },
  60199. {
  60200. "ph": "X",
  60201. "cat": "Op",
  60202. "name": "Conv2DBackpropFilter",
  60203. "pid": 23,
  60204. "tid": 0,
  60205. "ts": 1539815917080850,
  60206. "dur": 3,
  60207. "args": {
  60208. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  60209. "op": "Conv2DBackpropFilter"
  60210. }
  60211. },
  60212. {
  60213. "ph": "X",
  60214. "cat": "Op",
  60215. "name": "Conv2DBackpropFilter",
  60216. "pid": 23,
  60217. "tid": 0,
  60218. "ts": 1539815917080858,
  60219. "dur": 4,
  60220. "args": {
  60221. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  60222. "op": "Conv2DBackpropFilter"
  60223. }
  60224. },
  60225. {
  60226. "ph": "X",
  60227. "cat": "Op",
  60228. "name": "Conv2DBackpropFilter",
  60229. "pid": 23,
  60230. "tid": 0,
  60231. "ts": 1539815917080869,
  60232. "dur": 941,
  60233. "args": {
  60234. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  60235. "op": "Conv2DBackpropFilter"
  60236. }
  60237. },
  60238. {
  60239. "ph": "X",
  60240. "cat": "Op",
  60241. "name": "Conv2DBackpropFilter",
  60242. "pid": 23,
  60243. "tid": 0,
  60244. "ts": 1539815917081856,
  60245. "dur": 24,
  60246. "args": {
  60247. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  60248. "op": "Conv2DBackpropFilter"
  60249. }
  60250. },
  60251. {
  60252. "ph": "X",
  60253. "cat": "Op",
  60254. "name": "Conv2DBackpropFilter",
  60255. "pid": 23,
  60256. "tid": 0,
  60257. "ts": 1539815917081883,
  60258. "dur": 343,
  60259. "args": {
  60260. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  60261. "op": "Conv2DBackpropFilter"
  60262. }
  60263. },
  60264. {
  60265. "ph": "X",
  60266. "cat": "Op",
  60267. "name": "Conv2DBackpropFilter",
  60268. "pid": 23,
  60269. "tid": 0,
  60270. "ts": 1539815917082230,
  60271. "dur": 1105,
  60272. "args": {
  60273. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  60274. "op": "Conv2DBackpropFilter"
  60275. }
  60276. },
  60277. {
  60278. "ph": "X",
  60279. "cat": "Op",
  60280. "name": "Conv2DBackpropFilter",
  60281. "pid": 23,
  60282. "tid": 0,
  60283. "ts": 1539815917083339,
  60284. "dur": 7,
  60285. "args": {
  60286. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  60287. "op": "Conv2DBackpropFilter"
  60288. }
  60289. },
  60290. {
  60291. "ph": "X",
  60292. "cat": "Op",
  60293. "name": "Conv2DBackpropFilter",
  60294. "pid": 23,
  60295. "tid": 0,
  60296. "ts": 1539815917083401,
  60297. "dur": 25,
  60298. "args": {
  60299. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  60300. "op": "Conv2DBackpropFilter"
  60301. }
  60302. },
  60303. {
  60304. "ph": "X",
  60305. "cat": "Op",
  60306. "name": "Conv2DBackpropFilter",
  60307. "pid": 23,
  60308. "tid": 0,
  60309. "ts": 1539815917083430,
  60310. "dur": 343,
  60311. "args": {
  60312. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  60313. "op": "Conv2DBackpropFilter"
  60314. }
  60315. },
  60316. {
  60317. "ph": "X",
  60318. "cat": "Op",
  60319. "name": "Conv2DBackpropFilter",
  60320. "pid": 23,
  60321. "tid": 0,
  60322. "ts": 1539815917083776,
  60323. "dur": 1106,
  60324. "args": {
  60325. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  60326. "op": "Conv2DBackpropFilter"
  60327. }
  60328. },
  60329. {
  60330. "ph": "X",
  60331. "cat": "Op",
  60332. "name": "Conv2DBackpropFilter",
  60333. "pid": 23,
  60334. "tid": 0,
  60335. "ts": 1539815917084886,
  60336. "dur": 6,
  60337. "args": {
  60338. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  60339. "op": "Conv2DBackpropFilter"
  60340. }
  60341. },
  60342. {
  60343. "ph": "X",
  60344. "cat": "Op",
  60345. "name": "Conv2DBackpropFilter",
  60346. "pid": 23,
  60347. "tid": 0,
  60348. "ts": 1539815917084955,
  60349. "dur": 222,
  60350. "args": {
  60351. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  60352. "op": "Conv2DBackpropFilter"
  60353. }
  60354. },
  60355. {
  60356. "ph": "X",
  60357. "cat": "Op",
  60358. "name": "Conv2DBackpropFilter",
  60359. "pid": 23,
  60360. "tid": 0,
  60361. "ts": 1539815917085184,
  60362. "dur": 5,
  60363. "args": {
  60364. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  60365. "op": "Conv2DBackpropFilter"
  60366. }
  60367. },
  60368. {
  60369. "ph": "X",
  60370. "cat": "Op",
  60371. "name": "Conv2DBackpropInput",
  60372. "pid": 23,
  60373. "tid": 0,
  60374. "ts": 1539815917085192,
  60375. "dur": 4,
  60376. "args": {
  60377. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  60378. "op": "Conv2DBackpropInput"
  60379. }
  60380. },
  60381. {
  60382. "ph": "X",
  60383. "cat": "Op",
  60384. "name": "Conv2DBackpropInput",
  60385. "pid": 23,
  60386. "tid": 0,
  60387. "ts": 1539815917085203,
  60388. "dur": 4,
  60389. "args": {
  60390. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  60391. "op": "Conv2DBackpropInput"
  60392. }
  60393. },
  60394. {
  60395. "ph": "X",
  60396. "cat": "Op",
  60397. "name": "Conv2DBackpropInput",
  60398. "pid": 23,
  60399. "tid": 0,
  60400. "ts": 1539815917085211,
  60401. "dur": 214,
  60402. "args": {
  60403. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  60404. "op": "Conv2DBackpropInput"
  60405. }
  60406. },
  60407. {
  60408. "ph": "X",
  60409. "cat": "Op",
  60410. "name": "Conv2DBackpropInput",
  60411. "pid": 23,
  60412. "tid": 0,
  60413. "ts": 1539815917085462,
  60414. "dur": 5,
  60415. "args": {
  60416. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  60417. "op": "Conv2DBackpropInput"
  60418. }
  60419. },
  60420. {
  60421. "ph": "X",
  60422. "cat": "Op",
  60423. "name": "Conv2DBackpropInput",
  60424. "pid": 23,
  60425. "tid": 0,
  60426. "ts": 1539815917085482,
  60427. "dur": 211,
  60428. "args": {
  60429. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  60430. "op": "Conv2DBackpropInput"
  60431. }
  60432. },
  60433. {
  60434. "ph": "X",
  60435. "cat": "Op",
  60436. "name": "Conv2DBackpropInput",
  60437. "pid": 23,
  60438. "tid": 0,
  60439. "ts": 1539815917085747,
  60440. "dur": 4,
  60441. "args": {
  60442. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  60443. "op": "Conv2DBackpropInput"
  60444. }
  60445. },
  60446. {
  60447. "ph": "X",
  60448. "cat": "Op",
  60449. "name": "Conv2DBackpropInput",
  60450. "pid": 23,
  60451. "tid": 0,
  60452. "ts": 1539815917085758,
  60453. "dur": 3,
  60454. "args": {
  60455. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  60456. "op": "Conv2DBackpropInput"
  60457. }
  60458. },
  60459. {
  60460. "ph": "X",
  60461. "cat": "Op",
  60462. "name": "Conv2DBackpropInput",
  60463. "pid": 23,
  60464. "tid": 0,
  60465. "ts": 1539815917085772,
  60466. "dur": 2958,
  60467. "args": {
  60468. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  60469. "op": "Conv2DBackpropInput"
  60470. }
  60471. },
  60472. {
  60473. "ph": "X",
  60474. "cat": "Op",
  60475. "name": "Conv2DBackpropInput",
  60476. "pid": 23,
  60477. "tid": 0,
  60478. "ts": 1539815917088786,
  60479. "dur": 4,
  60480. "args": {
  60481. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  60482. "op": "Conv2DBackpropInput"
  60483. }
  60484. },
  60485. {
  60486. "ph": "X",
  60487. "cat": "Op",
  60488. "name": "Conv2DBackpropInput",
  60489. "pid": 23,
  60490. "tid": 0,
  60491. "ts": 1539815917088797,
  60492. "dur": 3,
  60493. "args": {
  60494. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  60495. "op": "Conv2DBackpropInput"
  60496. }
  60497. },
  60498. {
  60499. "ph": "X",
  60500. "cat": "Op",
  60501. "name": "Conv2DBackpropInput",
  60502. "pid": 23,
  60503. "tid": 0,
  60504. "ts": 1539815917088809,
  60505. "dur": 2959,
  60506. "args": {
  60507. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  60508. "op": "Conv2DBackpropInput"
  60509. }
  60510. },
  60511. {
  60512. "ph": "X",
  60513. "cat": "Op",
  60514. "name": "Conv2DBackpropInput",
  60515. "pid": 23,
  60516. "tid": 0,
  60517. "ts": 1539815917091820,
  60518. "dur": 15,
  60519. "args": {
  60520. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  60521. "op": "Conv2DBackpropInput"
  60522. }
  60523. },
  60524. {
  60525. "ph": "X",
  60526. "cat": "Op",
  60527. "name": "Conv2DBackpropInput",
  60528. "pid": 23,
  60529. "tid": 0,
  60530. "ts": 1539815917092029,
  60531. "dur": 4,
  60532. "args": {
  60533. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  60534. "op": "Conv2DBackpropInput"
  60535. }
  60536. },
  60537. {
  60538. "ph": "X",
  60539. "cat": "Op",
  60540. "name": "Conv2DBackpropInput",
  60541. "pid": 23,
  60542. "tid": 0,
  60543. "ts": 1539815917092037,
  60544. "dur": 343,
  60545. "args": {
  60546. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  60547. "op": "Conv2DBackpropInput"
  60548. }
  60549. },
  60550. {
  60551. "ph": "X",
  60552. "cat": "Op",
  60553. "name": "Conv2DBackpropInput",
  60554. "pid": 23,
  60555. "tid": 0,
  60556. "ts": 1539815917092383,
  60557. "dur": 18,
  60558. "args": {
  60559. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  60560. "op": "Conv2DBackpropInput"
  60561. }
  60562. },
  60563. {
  60564. "ph": "X",
  60565. "cat": "Op",
  60566. "name": "Conv2DBackpropInput",
  60567. "pid": 23,
  60568. "tid": 0,
  60569. "ts": 1539815917092456,
  60570. "dur": 15,
  60571. "args": {
  60572. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  60573. "op": "Conv2DBackpropInput"
  60574. }
  60575. },
  60576. {
  60577. "ph": "X",
  60578. "cat": "Op",
  60579. "name": "Conv2DBackpropInput",
  60580. "pid": 23,
  60581. "tid": 0,
  60582. "ts": 1539815917092666,
  60583. "dur": 4,
  60584. "args": {
  60585. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  60586. "op": "Conv2DBackpropInput"
  60587. }
  60588. },
  60589. {
  60590. "ph": "X",
  60591. "cat": "Op",
  60592. "name": "Conv2DBackpropInput",
  60593. "pid": 23,
  60594. "tid": 0,
  60595. "ts": 1539815917092673,
  60596. "dur": 342,
  60597. "args": {
  60598. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  60599. "op": "Conv2DBackpropInput"
  60600. }
  60601. },
  60602. {
  60603. "ph": "X",
  60604. "cat": "Op",
  60605. "name": "Conv2DBackpropInput",
  60606. "pid": 23,
  60607. "tid": 0,
  60608. "ts": 1539815917093019,
  60609. "dur": 18,
  60610. "args": {
  60611. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  60612. "op": "Conv2DBackpropInput"
  60613. }
  60614. },
  60615. {
  60616. "ph": "X",
  60617. "cat": "Op",
  60618. "name": "Conv2DBackpropInput",
  60619. "pid": 23,
  60620. "tid": 0,
  60621. "ts": 1539815917093090,
  60622. "dur": 14,
  60623. "args": {
  60624. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  60625. "op": "Conv2DBackpropInput"
  60626. }
  60627. },
  60628. {
  60629. "ph": "X",
  60630. "cat": "Op",
  60631. "name": "Conv2DBackpropInput",
  60632. "pid": 23,
  60633. "tid": 0,
  60634. "ts": 1539815917093701,
  60635. "dur": 15,
  60636. "args": {
  60637. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  60638. "op": "Conv2DBackpropInput"
  60639. }
  60640. },
  60641. {
  60642. "ph": "X",
  60643. "cat": "Op",
  60644. "name": "Conv2DBackpropInput",
  60645. "pid": 23,
  60646. "tid": 0,
  60647. "ts": 1539815917094285,
  60648. "dur": 939,
  60649. "args": {
  60650. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  60651. "op": "Conv2DBackpropInput"
  60652. }
  60653. },
  60654. {
  60655. "ph": "X",
  60656. "cat": "Op",
  60657. "name": "Conv2DBackpropInput",
  60658. "pid": 23,
  60659. "tid": 0,
  60660. "ts": 1539815917095228,
  60661. "dur": 5,
  60662. "args": {
  60663. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  60664. "op": "Conv2DBackpropInput"
  60665. }
  60666. },
  60667. {
  60668. "ph": "X",
  60669. "cat": "Op",
  60670. "name": "Conv2DBackpropInput",
  60671. "pid": 23,
  60672. "tid": 0,
  60673. "ts": 1539815917095236,
  60674. "dur": 429,
  60675. "args": {
  60676. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  60677. "op": "Conv2DBackpropInput"
  60678. }
  60679. },
  60680. {
  60681. "ph": "X",
  60682. "cat": "Op",
  60683. "name": "Conv2DBackpropInput",
  60684. "pid": 23,
  60685. "tid": 0,
  60686. "ts": 1539815917095668,
  60687. "dur": 15,
  60688. "args": {
  60689. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  60690. "op": "Conv2DBackpropInput"
  60691. }
  60692. },
  60693. {
  60694. "ph": "X",
  60695. "cat": "Op",
  60696. "name": "Conv2DBackpropInput",
  60697. "pid": 23,
  60698. "tid": 0,
  60699. "ts": 1539815917095732,
  60700. "dur": 919,
  60701. "args": {
  60702. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  60703. "op": "Conv2DBackpropInput"
  60704. }
  60705. },
  60706. {
  60707. "ph": "X",
  60708. "cat": "Op",
  60709. "name": "Conv2DBackpropInput",
  60710. "pid": 23,
  60711. "tid": 0,
  60712. "ts": 1539815917096656,
  60713. "dur": 5,
  60714. "args": {
  60715. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  60716. "op": "Conv2DBackpropInput"
  60717. }
  60718. },
  60719. {
  60720. "ph": "X",
  60721. "cat": "Op",
  60722. "name": "Conv2DBackpropInput",
  60723. "pid": 23,
  60724. "tid": 0,
  60725. "ts": 1539815917096664,
  60726. "dur": 429,
  60727. "args": {
  60728. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  60729. "op": "Conv2DBackpropInput"
  60730. }
  60731. },
  60732. {
  60733. "ph": "X",
  60734. "cat": "Op",
  60735. "name": "Conv2DBackpropInput",
  60736. "pid": 23,
  60737. "tid": 0,
  60738. "ts": 1539815917097097,
  60739. "dur": 16,
  60740. "args": {
  60741. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  60742. "op": "Conv2DBackpropInput"
  60743. }
  60744. },
  60745. {
  60746. "ph": "X",
  60747. "cat": "Op",
  60748. "name": "Conv2DBackpropInput",
  60749. "pid": 23,
  60750. "tid": 0,
  60751. "ts": 1539815917097152,
  60752. "dur": 5,
  60753. "args": {
  60754. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  60755. "op": "Conv2DBackpropInput"
  60756. }
  60757. },
  60758. {
  60759. "ph": "X",
  60760. "cat": "Op",
  60761. "name": "Conv2DBackpropInput",
  60762. "pid": 23,
  60763. "tid": 0,
  60764. "ts": 1539815917097177,
  60765. "dur": 216,
  60766. "args": {
  60767. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  60768. "op": "Conv2DBackpropInput"
  60769. }
  60770. },
  60771. {
  60772. "ph": "X",
  60773. "cat": "Op",
  60774. "name": "FusedBatchNormGrad",
  60775. "pid": 23,
  60776. "tid": 0,
  60777. "ts": 1539815917097396,
  60778. "dur": 4,
  60779. "args": {
  60780. "name": "tower_2/training/TFOptimizer/gradients/tower_2/batch_normalization/FusedBatchNorm_grad/FusedBatchNormGrad",
  60781. "op": "FusedBatchNormGrad"
  60782. }
  60783. },
  60784. {
  60785. "ph": "X",
  60786. "cat": "Op",
  60787. "name": "FusedBatchNormGrad",
  60788. "pid": 23,
  60789. "tid": 0,
  60790. "ts": 1539815917097403,
  60791. "dur": 3,
  60792. "args": {
  60793. "name": "tower_2/training/TFOptimizer/gradients/tower_2/batch_normalization/FusedBatchNorm_grad/FusedBatchNormGrad",
  60794. "op": "FusedBatchNormGrad"
  60795. }
  60796. },
  60797. {
  60798. "ph": "X",
  60799. "cat": "Op",
  60800. "name": "FusedBatchNormGrad",
  60801. "pid": 23,
  60802. "tid": 0,
  60803. "ts": 1539815917097409,
  60804. "dur": 155,
  60805. "args": {
  60806. "name": "tower_2/training/TFOptimizer/gradients/tower_2/batch_normalization/FusedBatchNorm_grad/FusedBatchNormGrad",
  60807. "op": "FusedBatchNormGrad"
  60808. }
  60809. },
  60810. {
  60811. "ph": "X",
  60812. "cat": "Op",
  60813. "name": "ConcatV2",
  60814. "pid": 23,
  60815. "tid": 0,
  60816. "ts": 1539815917097583,
  60817. "dur": 51,
  60818. "args": {
  60819. "name": "training/TFOptimizer/concat_2",
  60820. "op": "ConcatV2"
  60821. }
  60822. },
  60823. {
  60824. "ph": "X",
  60825. "cat": "Op",
  60826. "name": "SplitV",
  60827. "pid": 23,
  60828. "tid": 0,
  60829. "ts": 1539815917563916,
  60830. "dur": 3,
  60831. "args": {
  60832. "name": "training/TFOptimizer/split_6",
  60833. "op": "SplitV"
  60834. }
  60835. },
  60836. {
  60837. "ph": "X",
  60838. "cat": "Op",
  60839. "name": "SplitV",
  60840. "pid": 23,
  60841. "tid": 0,
  60842. "ts": 1539815917563936,
  60843. "dur": 3,
  60844. "args": {
  60845. "name": "training/TFOptimizer/split_6",
  60846. "op": "SplitV"
  60847. }
  60848. },
  60849. {
  60850. "ph": "X",
  60851. "cat": "Op",
  60852. "name": "SplitV",
  60853. "pid": 23,
  60854. "tid": 0,
  60855. "ts": 1539815917563950,
  60856. "dur": 3,
  60857. "args": {
  60858. "name": "training/TFOptimizer/split_6",
  60859. "op": "SplitV"
  60860. }
  60861. },
  60862. {
  60863. "ph": "X",
  60864. "cat": "Op",
  60865. "name": "SplitV",
  60866. "pid": 23,
  60867. "tid": 0,
  60868. "ts": 1539815917563962,
  60869. "dur": 2,
  60870. "args": {
  60871. "name": "training/TFOptimizer/split_6",
  60872. "op": "SplitV"
  60873. }
  60874. },
  60875. {
  60876. "ph": "X",
  60877. "cat": "Op",
  60878. "name": "SplitV",
  60879. "pid": 23,
  60880. "tid": 0,
  60881. "ts": 1539815917563973,
  60882. "dur": 3,
  60883. "args": {
  60884. "name": "training/TFOptimizer/split_6",
  60885. "op": "SplitV"
  60886. }
  60887. },
  60888. {
  60889. "ph": "X",
  60890. "cat": "Op",
  60891. "name": "SplitV",
  60892. "pid": 23,
  60893. "tid": 0,
  60894. "ts": 1539815917563984,
  60895. "dur": 3,
  60896. "args": {
  60897. "name": "training/TFOptimizer/split_6",
  60898. "op": "SplitV"
  60899. }
  60900. },
  60901. {
  60902. "ph": "X",
  60903. "cat": "Op",
  60904. "name": "SplitV",
  60905. "pid": 23,
  60906. "tid": 0,
  60907. "ts": 1539815917563996,
  60908. "dur": 4,
  60909. "args": {
  60910. "name": "training/TFOptimizer/split_6",
  60911. "op": "SplitV"
  60912. }
  60913. },
  60914. {
  60915. "ph": "X",
  60916. "cat": "Op",
  60917. "name": "SplitV",
  60918. "pid": 23,
  60919. "tid": 0,
  60920. "ts": 1539815917564010,
  60921. "dur": 3,
  60922. "args": {
  60923. "name": "training/TFOptimizer/split_6",
  60924. "op": "SplitV"
  60925. }
  60926. },
  60927. {
  60928. "ph": "X",
  60929. "cat": "Op",
  60930. "name": "SplitV",
  60931. "pid": 23,
  60932. "tid": 0,
  60933. "ts": 1539815917564022,
  60934. "dur": 2,
  60935. "args": {
  60936. "name": "training/TFOptimizer/split_6",
  60937. "op": "SplitV"
  60938. }
  60939. },
  60940. {
  60941. "ph": "X",
  60942. "cat": "Op",
  60943. "name": "SplitV",
  60944. "pid": 23,
  60945. "tid": 0,
  60946. "ts": 1539815917564061,
  60947. "dur": 3,
  60948. "args": {
  60949. "name": "training/TFOptimizer/split_6",
  60950. "op": "SplitV"
  60951. }
  60952. },
  60953. {
  60954. "ph": "X",
  60955. "cat": "Op",
  60956. "name": "SplitV",
  60957. "pid": 23,
  60958. "tid": 0,
  60959. "ts": 1539815917564077,
  60960. "dur": 12,
  60961. "args": {
  60962. "name": "training/TFOptimizer/split_6",
  60963. "op": "SplitV"
  60964. }
  60965. },
  60966. {
  60967. "ph": "X",
  60968. "cat": "Op",
  60969. "name": "SplitV",
  60970. "pid": 23,
  60971. "tid": 0,
  60972. "ts": 1539815917564145,
  60973. "dur": 3,
  60974. "args": {
  60975. "name": "training/TFOptimizer/split_6",
  60976. "op": "SplitV"
  60977. }
  60978. },
  60979. {
  60980. "ph": "X",
  60981. "cat": "Op",
  60982. "name": "SplitV",
  60983. "pid": 23,
  60984. "tid": 0,
  60985. "ts": 1539815917564157,
  60986. "dur": 9,
  60987. "args": {
  60988. "name": "training/TFOptimizer/split_6",
  60989. "op": "SplitV"
  60990. }
  60991. },
  60992. {
  60993. "ph": "X",
  60994. "cat": "Op",
  60995. "name": "SplitV",
  60996. "pid": 23,
  60997. "tid": 0,
  60998. "ts": 1539815917564171,
  60999. "dur": 3,
  61000. "args": {
  61001. "name": "training/TFOptimizer/split_6",
  61002. "op": "SplitV"
  61003. }
  61004. },
  61005. {
  61006. "ph": "X",
  61007. "cat": "Op",
  61008. "name": "SplitV",
  61009. "pid": 23,
  61010. "tid": 0,
  61011. "ts": 1539815917564182,
  61012. "dur": 3,
  61013. "args": {
  61014. "name": "training/TFOptimizer/split_6",
  61015. "op": "SplitV"
  61016. }
  61017. },
  61018. {
  61019. "ph": "X",
  61020. "cat": "Op",
  61021. "name": "SplitV",
  61022. "pid": 23,
  61023. "tid": 0,
  61024. "ts": 1539815917564191,
  61025. "dur": 3,
  61026. "args": {
  61027. "name": "training/TFOptimizer/split_6",
  61028. "op": "SplitV"
  61029. }
  61030. },
  61031. {
  61032. "ph": "X",
  61033. "cat": "Op",
  61034. "name": "ResourceApplyAdam",
  61035. "pid": 23,
  61036. "tid": 0,
  61037. "ts": 1539815917568321,
  61038. "dur": 3,
  61039. "args": {
  61040. "name": "training/TFOptimizer/Adam/update_2_11/update_conv2d_2/bias/replica_2/ResourceApplyAdam",
  61041. "op": "ResourceApplyAdam"
  61042. }
  61043. },
  61044. {
  61045. "ph": "X",
  61046. "cat": "Op",
  61047. "name": "ResourceApplyAdam",
  61048. "pid": 23,
  61049. "tid": 0,
  61050. "ts": 1539815917568347,
  61051. "dur": 4,
  61052. "args": {
  61053. "name": "training/TFOptimizer/Adam/update_2_11/update_conv2d_2/bias/replica_2/ResourceApplyAdam",
  61054. "op": "ResourceApplyAdam"
  61055. }
  61056. },
  61057. {
  61058. "ph": "X",
  61059. "cat": "Op",
  61060. "name": "ResourceApplyAdam",
  61061. "pid": 23,
  61062. "tid": 0,
  61063. "ts": 1539815917568440,
  61064. "dur": 6,
  61065. "args": {
  61066. "name": "training/TFOptimizer/Adam/update_2_11/update_conv2d_2/bias/replica_2/ResourceApplyAdam",
  61067. "op": "ResourceApplyAdam"
  61068. }
  61069. },
  61070. {
  61071. "ph": "X",
  61072. "cat": "Op",
  61073. "name": "ResourceApplyAdam",
  61074. "pid": 23,
  61075. "tid": 0,
  61076. "ts": 1539815917568538,
  61077. "dur": 4,
  61078. "args": {
  61079. "name": "training/TFOptimizer/Adam/update_2_13/update_dense/bias/replica_2/ResourceApplyAdam",
  61080. "op": "ResourceApplyAdam"
  61081. }
  61082. },
  61083. {
  61084. "ph": "X",
  61085. "cat": "Op",
  61086. "name": "ResourceApplyAdam",
  61087. "pid": 23,
  61088. "tid": 0,
  61089. "ts": 1539815917568548,
  61090. "dur": 4,
  61091. "args": {
  61092. "name": "training/TFOptimizer/Adam/update_2_13/update_dense/bias/replica_2/ResourceApplyAdam",
  61093. "op": "ResourceApplyAdam"
  61094. }
  61095. },
  61096. {
  61097. "ph": "X",
  61098. "cat": "Op",
  61099. "name": "ResourceApplyAdam",
  61100. "pid": 23,
  61101. "tid": 0,
  61102. "ts": 1539815917568560,
  61103. "dur": 5,
  61104. "args": {
  61105. "name": "training/TFOptimizer/Adam/update_2_13/update_dense/bias/replica_2/ResourceApplyAdam",
  61106. "op": "ResourceApplyAdam"
  61107. }
  61108. },
  61109. {
  61110. "ph": "X",
  61111. "cat": "Op",
  61112. "name": "ResourceApplyAdam",
  61113. "pid": 23,
  61114. "tid": 0,
  61115. "ts": 1539815917568637,
  61116. "dur": 4,
  61117. "args": {
  61118. "name": "training/TFOptimizer/Adam/update_2_15/update_dense_1/bias/replica_2/ResourceApplyAdam",
  61119. "op": "ResourceApplyAdam"
  61120. }
  61121. },
  61122. {
  61123. "ph": "X",
  61124. "cat": "Op",
  61125. "name": "ResourceApplyAdam",
  61126. "pid": 23,
  61127. "tid": 0,
  61128. "ts": 1539815917568649,
  61129. "dur": 4,
  61130. "args": {
  61131. "name": "training/TFOptimizer/Adam/update_2_15/update_dense_1/bias/replica_2/ResourceApplyAdam",
  61132. "op": "ResourceApplyAdam"
  61133. }
  61134. },
  61135. {
  61136. "ph": "X",
  61137. "cat": "Op",
  61138. "name": "ResourceApplyAdam",
  61139. "pid": 23,
  61140. "tid": 0,
  61141. "ts": 1539815917568658,
  61142. "dur": 6,
  61143. "args": {
  61144. "name": "training/TFOptimizer/Adam/update_2_15/update_dense_1/bias/replica_2/ResourceApplyAdam",
  61145. "op": "ResourceApplyAdam"
  61146. }
  61147. },
  61148. {
  61149. "ph": "X",
  61150. "cat": "Op",
  61151. "name": "ResourceApplyAdam",
  61152. "pid": 23,
  61153. "tid": 0,
  61154. "ts": 1539815917568816,
  61155. "dur": 4,
  61156. "args": {
  61157. "name": "training/TFOptimizer/Adam/update_2_3/update_conv2d/bias/replica_2/ResourceApplyAdam",
  61158. "op": "ResourceApplyAdam"
  61159. }
  61160. },
  61161. {
  61162. "ph": "X",
  61163. "cat": "Op",
  61164. "name": "ResourceApplyAdam",
  61165. "pid": 23,
  61166. "tid": 0,
  61167. "ts": 1539815917568827,
  61168. "dur": 4,
  61169. "args": {
  61170. "name": "training/TFOptimizer/Adam/update_2_3/update_conv2d/bias/replica_2/ResourceApplyAdam",
  61171. "op": "ResourceApplyAdam"
  61172. }
  61173. },
  61174. {
  61175. "ph": "X",
  61176. "cat": "Op",
  61177. "name": "ResourceApplyAdam",
  61178. "pid": 23,
  61179. "tid": 0,
  61180. "ts": 1539815917568837,
  61181. "dur": 5,
  61182. "args": {
  61183. "name": "training/TFOptimizer/Adam/update_2_3/update_conv2d/bias/replica_2/ResourceApplyAdam",
  61184. "op": "ResourceApplyAdam"
  61185. }
  61186. },
  61187. {
  61188. "ph": "X",
  61189. "cat": "Op",
  61190. "name": "ResourceApplyAdam",
  61191. "pid": 23,
  61192. "tid": 0,
  61193. "ts": 1539815917568923,
  61194. "dur": 3,
  61195. "args": {
  61196. "name": "training/TFOptimizer/Adam/update_2_4/update_batch_normalization_1/gamma/replica_2/ResourceApplyAdam",
  61197. "op": "ResourceApplyAdam"
  61198. }
  61199. },
  61200. {
  61201. "ph": "X",
  61202. "cat": "Op",
  61203. "name": "ResourceApplyAdam",
  61204. "pid": 23,
  61205. "tid": 0,
  61206. "ts": 1539815917568933,
  61207. "dur": 3,
  61208. "args": {
  61209. "name": "training/TFOptimizer/Adam/update_2_4/update_batch_normalization_1/gamma/replica_2/ResourceApplyAdam",
  61210. "op": "ResourceApplyAdam"
  61211. }
  61212. },
  61213. {
  61214. "ph": "X",
  61215. "cat": "Op",
  61216. "name": "ResourceApplyAdam",
  61217. "pid": 23,
  61218. "tid": 0,
  61219. "ts": 1539815917568944,
  61220. "dur": 5,
  61221. "args": {
  61222. "name": "training/TFOptimizer/Adam/update_2_4/update_batch_normalization_1/gamma/replica_2/ResourceApplyAdam",
  61223. "op": "ResourceApplyAdam"
  61224. }
  61225. },
  61226. {
  61227. "ph": "X",
  61228. "cat": "Op",
  61229. "name": "ResourceApplyAdam",
  61230. "pid": 23,
  61231. "tid": 0,
  61232. "ts": 1539815917569038,
  61233. "dur": 3,
  61234. "args": {
  61235. "name": "training/TFOptimizer/Adam/update_2_5/update_batch_normalization_1/beta/replica_2/ResourceApplyAdam",
  61236. "op": "ResourceApplyAdam"
  61237. }
  61238. },
  61239. {
  61240. "ph": "X",
  61241. "cat": "Op",
  61242. "name": "ResourceApplyAdam",
  61243. "pid": 23,
  61244. "tid": 0,
  61245. "ts": 1539815917569049,
  61246. "dur": 4,
  61247. "args": {
  61248. "name": "training/TFOptimizer/Adam/update_2_5/update_batch_normalization_1/beta/replica_2/ResourceApplyAdam",
  61249. "op": "ResourceApplyAdam"
  61250. }
  61251. },
  61252. {
  61253. "ph": "X",
  61254. "cat": "Op",
  61255. "name": "ResourceApplyAdam",
  61256. "pid": 23,
  61257. "tid": 0,
  61258. "ts": 1539815917569081,
  61259. "dur": 4,
  61260. "args": {
  61261. "name": "training/TFOptimizer/Adam/update_2_5/update_batch_normalization_1/beta/replica_2/ResourceApplyAdam",
  61262. "op": "ResourceApplyAdam"
  61263. }
  61264. },
  61265. {
  61266. "ph": "X",
  61267. "cat": "Op",
  61268. "name": "ResourceApplyAdam",
  61269. "pid": 23,
  61270. "tid": 0,
  61271. "ts": 1539815917569161,
  61272. "dur": 3,
  61273. "args": {
  61274. "name": "training/TFOptimizer/Adam/update_2_7/update_conv2d_1/bias/replica_2/ResourceApplyAdam",
  61275. "op": "ResourceApplyAdam"
  61276. }
  61277. },
  61278. {
  61279. "ph": "X",
  61280. "cat": "Op",
  61281. "name": "ResourceApplyAdam",
  61282. "pid": 23,
  61283. "tid": 0,
  61284. "ts": 1539815917569171,
  61285. "dur": 4,
  61286. "args": {
  61287. "name": "training/TFOptimizer/Adam/update_2_7/update_conv2d_1/bias/replica_2/ResourceApplyAdam",
  61288. "op": "ResourceApplyAdam"
  61289. }
  61290. },
  61291. {
  61292. "ph": "X",
  61293. "cat": "Op",
  61294. "name": "ResourceApplyAdam",
  61295. "pid": 23,
  61296. "tid": 0,
  61297. "ts": 1539815917569185,
  61298. "dur": 5,
  61299. "args": {
  61300. "name": "training/TFOptimizer/Adam/update_2_7/update_conv2d_1/bias/replica_2/ResourceApplyAdam",
  61301. "op": "ResourceApplyAdam"
  61302. }
  61303. },
  61304. {
  61305. "ph": "X",
  61306. "cat": "Op",
  61307. "name": "ResourceApplyAdam",
  61308. "pid": 23,
  61309. "tid": 0,
  61310. "ts": 1539815917569284,
  61311. "dur": 3,
  61312. "args": {
  61313. "name": "training/TFOptimizer/Adam/update_2_8/update_batch_normalization_2/gamma/replica_2/ResourceApplyAdam",
  61314. "op": "ResourceApplyAdam"
  61315. }
  61316. },
  61317. {
  61318. "ph": "X",
  61319. "cat": "Op",
  61320. "name": "ResourceApplyAdam",
  61321. "pid": 23,
  61322. "tid": 0,
  61323. "ts": 1539815917569316,
  61324. "dur": 4,
  61325. "args": {
  61326. "name": "training/TFOptimizer/Adam/update_2_8/update_batch_normalization_2/gamma/replica_2/ResourceApplyAdam",
  61327. "op": "ResourceApplyAdam"
  61328. }
  61329. },
  61330. {
  61331. "ph": "X",
  61332. "cat": "Op",
  61333. "name": "ResourceApplyAdam",
  61334. "pid": 23,
  61335. "tid": 0,
  61336. "ts": 1539815917569372,
  61337. "dur": 5,
  61338. "args": {
  61339. "name": "training/TFOptimizer/Adam/update_2_8/update_batch_normalization_2/gamma/replica_2/ResourceApplyAdam",
  61340. "op": "ResourceApplyAdam"
  61341. }
  61342. },
  61343. {
  61344. "ph": "X",
  61345. "cat": "Op",
  61346. "name": "ResourceApplyAdam",
  61347. "pid": 23,
  61348. "tid": 0,
  61349. "ts": 1539815917569534,
  61350. "dur": 3,
  61351. "args": {
  61352. "name": "training/TFOptimizer/Adam/update_2_9/update_batch_normalization_2/beta/replica_2/ResourceApplyAdam",
  61353. "op": "ResourceApplyAdam"
  61354. }
  61355. },
  61356. {
  61357. "ph": "X",
  61358. "cat": "Op",
  61359. "name": "ResourceApplyAdam",
  61360. "pid": 23,
  61361. "tid": 0,
  61362. "ts": 1539815917569547,
  61363. "dur": 4,
  61364. "args": {
  61365. "name": "training/TFOptimizer/Adam/update_2_9/update_batch_normalization_2/beta/replica_2/ResourceApplyAdam",
  61366. "op": "ResourceApplyAdam"
  61367. }
  61368. },
  61369. {
  61370. "ph": "X",
  61371. "cat": "Op",
  61372. "name": "ResourceApplyAdam",
  61373. "pid": 23,
  61374. "tid": 0,
  61375. "ts": 1539815917569555,
  61376. "dur": 5,
  61377. "args": {
  61378. "name": "training/TFOptimizer/Adam/update_2_9/update_batch_normalization_2/beta/replica_2/ResourceApplyAdam",
  61379. "op": "ResourceApplyAdam"
  61380. }
  61381. },
  61382. {
  61383. "ph": "X",
  61384. "cat": "Op",
  61385. "name": "ResourceApplyAdam",
  61386. "pid": 23,
  61387. "tid": 0,
  61388. "ts": 1539815917569681,
  61389. "dur": 4,
  61390. "args": {
  61391. "name": "training/TFOptimizer/Adam/update_2/update_batch_normalization/gamma/replica_2/ResourceApplyAdam",
  61392. "op": "ResourceApplyAdam"
  61393. }
  61394. },
  61395. {
  61396. "ph": "X",
  61397. "cat": "Op",
  61398. "name": "ResourceApplyAdam",
  61399. "pid": 23,
  61400. "tid": 0,
  61401. "ts": 1539815917569709,
  61402. "dur": 3,
  61403. "args": {
  61404. "name": "training/TFOptimizer/Adam/update_2/update_batch_normalization/gamma/replica_2/ResourceApplyAdam",
  61405. "op": "ResourceApplyAdam"
  61406. }
  61407. },
  61408. {
  61409. "ph": "X",
  61410. "cat": "Op",
  61411. "name": "ResourceApplyAdam",
  61412. "pid": 23,
  61413. "tid": 0,
  61414. "ts": 1539815917569721,
  61415. "dur": 4,
  61416. "args": {
  61417. "name": "training/TFOptimizer/Adam/update_2/update_batch_normalization/gamma/replica_2/ResourceApplyAdam",
  61418. "op": "ResourceApplyAdam"
  61419. }
  61420. },
  61421. {
  61422. "ph": "X",
  61423. "cat": "Op",
  61424. "name": "ResourceApplyAdam",
  61425. "pid": 23,
  61426. "tid": 0,
  61427. "ts": 1539815917569813,
  61428. "dur": 4,
  61429. "args": {
  61430. "name": "training/TFOptimizer/Adam/update_2_1/update_batch_normalization/beta/replica_2/ResourceApplyAdam",
  61431. "op": "ResourceApplyAdam"
  61432. }
  61433. },
  61434. {
  61435. "ph": "X",
  61436. "cat": "Op",
  61437. "name": "ResourceApplyAdam",
  61438. "pid": 23,
  61439. "tid": 0,
  61440. "ts": 1539815917569823,
  61441. "dur": 4,
  61442. "args": {
  61443. "name": "training/TFOptimizer/Adam/update_2_1/update_batch_normalization/beta/replica_2/ResourceApplyAdam",
  61444. "op": "ResourceApplyAdam"
  61445. }
  61446. },
  61447. {
  61448. "ph": "X",
  61449. "cat": "Op",
  61450. "name": "ResourceApplyAdam",
  61451. "pid": 23,
  61452. "tid": 0,
  61453. "ts": 1539815917569833,
  61454. "dur": 4,
  61455. "args": {
  61456. "name": "training/TFOptimizer/Adam/update_2_1/update_batch_normalization/beta/replica_2/ResourceApplyAdam",
  61457. "op": "ResourceApplyAdam"
  61458. }
  61459. },
  61460. {
  61461. "ph": "X",
  61462. "cat": "Op",
  61463. "name": "ResourceApplyAdam",
  61464. "pid": 23,
  61465. "tid": 0,
  61466. "ts": 1539815917569911,
  61467. "dur": 16,
  61468. "args": {
  61469. "name": "training/TFOptimizer/Adam/update_2_10/update_conv2d_2/kernel/replica_2/ResourceApplyAdam",
  61470. "op": "ResourceApplyAdam"
  61471. }
  61472. },
  61473. {
  61474. "ph": "X",
  61475. "cat": "Op",
  61476. "name": "ResourceApplyAdam",
  61477. "pid": 23,
  61478. "tid": 0,
  61479. "ts": 1539815917569949,
  61480. "dur": 15,
  61481. "args": {
  61482. "name": "training/TFOptimizer/Adam/update_2_10/update_conv2d_2/kernel/replica_2/ResourceApplyAdam",
  61483. "op": "ResourceApplyAdam"
  61484. }
  61485. },
  61486. {
  61487. "ph": "X",
  61488. "cat": "Op",
  61489. "name": "ResourceApplyAdam",
  61490. "pid": 23,
  61491. "tid": 0,
  61492. "ts": 1539815917569968,
  61493. "dur": 20,
  61494. "args": {
  61495. "name": "training/TFOptimizer/Adam/update_2_10/update_conv2d_2/kernel/replica_2/ResourceApplyAdam",
  61496. "op": "ResourceApplyAdam"
  61497. }
  61498. },
  61499. {
  61500. "ph": "X",
  61501. "cat": "Op",
  61502. "name": "ResourceApplyAdam",
  61503. "pid": 23,
  61504. "tid": 0,
  61505. "ts": 1539815917570058,
  61506. "dur": 12,
  61507. "args": {
  61508. "name": "training/TFOptimizer/Adam/update_2_12/update_dense/kernel/replica_2/ResourceApplyAdam",
  61509. "op": "ResourceApplyAdam"
  61510. }
  61511. },
  61512. {
  61513. "ph": "X",
  61514. "cat": "Op",
  61515. "name": "ResourceApplyAdam",
  61516. "pid": 23,
  61517. "tid": 0,
  61518. "ts": 1539815917570073,
  61519. "dur": 10,
  61520. "args": {
  61521. "name": "training/TFOptimizer/Adam/update_2_12/update_dense/kernel/replica_2/ResourceApplyAdam",
  61522. "op": "ResourceApplyAdam"
  61523. }
  61524. },
  61525. {
  61526. "ph": "X",
  61527. "cat": "Op",
  61528. "name": "ResourceApplyAdam",
  61529. "pid": 23,
  61530. "tid": 0,
  61531. "ts": 1539815917570086,
  61532. "dur": 13,
  61533. "args": {
  61534. "name": "training/TFOptimizer/Adam/update_2_12/update_dense/kernel/replica_2/ResourceApplyAdam",
  61535. "op": "ResourceApplyAdam"
  61536. }
  61537. },
  61538. {
  61539. "ph": "X",
  61540. "cat": "Op",
  61541. "name": "ResourceApplyAdam",
  61542. "pid": 23,
  61543. "tid": 0,
  61544. "ts": 1539815917570159,
  61545. "dur": 4,
  61546. "args": {
  61547. "name": "training/TFOptimizer/Adam/update_2_14/update_dense_1/kernel/replica_2/ResourceApplyAdam",
  61548. "op": "ResourceApplyAdam"
  61549. }
  61550. },
  61551. {
  61552. "ph": "X",
  61553. "cat": "Op",
  61554. "name": "ResourceApplyAdam",
  61555. "pid": 23,
  61556. "tid": 0,
  61557. "ts": 1539815917570170,
  61558. "dur": 4,
  61559. "args": {
  61560. "name": "training/TFOptimizer/Adam/update_2_14/update_dense_1/kernel/replica_2/ResourceApplyAdam",
  61561. "op": "ResourceApplyAdam"
  61562. }
  61563. },
  61564. {
  61565. "ph": "X",
  61566. "cat": "Op",
  61567. "name": "ResourceApplyAdam",
  61568. "pid": 23,
  61569. "tid": 0,
  61570. "ts": 1539815917570178,
  61571. "dur": 6,
  61572. "args": {
  61573. "name": "training/TFOptimizer/Adam/update_2_14/update_dense_1/kernel/replica_2/ResourceApplyAdam",
  61574. "op": "ResourceApplyAdam"
  61575. }
  61576. },
  61577. {
  61578. "ph": "X",
  61579. "cat": "Op",
  61580. "name": "ResourceApplyAdam",
  61581. "pid": 23,
  61582. "tid": 0,
  61583. "ts": 1539815917570258,
  61584. "dur": 4,
  61585. "args": {
  61586. "name": "training/TFOptimizer/Adam/update_2_2/update_conv2d/kernel/replica_2/ResourceApplyAdam",
  61587. "op": "ResourceApplyAdam"
  61588. }
  61589. },
  61590. {
  61591. "ph": "X",
  61592. "cat": "Op",
  61593. "name": "ResourceApplyAdam",
  61594. "pid": 23,
  61595. "tid": 0,
  61596. "ts": 1539815917570290,
  61597. "dur": 4,
  61598. "args": {
  61599. "name": "training/TFOptimizer/Adam/update_2_2/update_conv2d/kernel/replica_2/ResourceApplyAdam",
  61600. "op": "ResourceApplyAdam"
  61601. }
  61602. },
  61603. {
  61604. "ph": "X",
  61605. "cat": "Op",
  61606. "name": "ResourceApplyAdam",
  61607. "pid": 23,
  61608. "tid": 0,
  61609. "ts": 1539815917570301,
  61610. "dur": 5,
  61611. "args": {
  61612. "name": "training/TFOptimizer/Adam/update_2_2/update_conv2d/kernel/replica_2/ResourceApplyAdam",
  61613. "op": "ResourceApplyAdam"
  61614. }
  61615. },
  61616. {
  61617. "ph": "X",
  61618. "cat": "Op",
  61619. "name": "ResourceApplyAdam",
  61620. "pid": 23,
  61621. "tid": 0,
  61622. "ts": 1539815917570379,
  61623. "dur": 5,
  61624. "args": {
  61625. "name": "training/TFOptimizer/Adam/update_2_6/update_conv2d_1/kernel/replica_2/ResourceApplyAdam",
  61626. "op": "ResourceApplyAdam"
  61627. }
  61628. },
  61629. {
  61630. "ph": "X",
  61631. "cat": "Op",
  61632. "name": "ResourceApplyAdam",
  61633. "pid": 23,
  61634. "tid": 0,
  61635. "ts": 1539815917570389,
  61636. "dur": 5,
  61637. "args": {
  61638. "name": "training/TFOptimizer/Adam/update_2_6/update_conv2d_1/kernel/replica_2/ResourceApplyAdam",
  61639. "op": "ResourceApplyAdam"
  61640. }
  61641. },
  61642. {
  61643. "ph": "X",
  61644. "cat": "Op",
  61645. "name": "ResourceApplyAdam",
  61646. "pid": 23,
  61647. "tid": 0,
  61648. "ts": 1539815917570399,
  61649. "dur": 7,
  61650. "args": {
  61651. "name": "training/TFOptimizer/Adam/update_2_6/update_conv2d_1/kernel/replica_2/ResourceApplyAdam",
  61652. "op": "ResourceApplyAdam"
  61653. }
  61654. },
  61655. {
  61656. "ph": "X",
  61657. "cat": "Op",
  61658. "name": "Mul",
  61659. "pid": 23,
  61660. "tid": 0,
  61661. "ts": 1539815917571049,
  61662. "dur": 4,
  61663. "args": {
  61664. "name": "training/TFOptimizer/Adam/update_2_16/mul_1",
  61665. "op": "Mul"
  61666. }
  61667. },
  61668. {
  61669. "ph": "X",
  61670. "cat": "Op",
  61671. "name": "Mul",
  61672. "pid": 23,
  61673. "tid": 0,
  61674. "ts": 1539815917571257,
  61675. "dur": 2,
  61676. "args": {
  61677. "name": "training/TFOptimizer/Adam/update_2_16/mul",
  61678. "op": "Mul"
  61679. }
  61680. },
  61681. {
  61682. "ph": "X",
  61683. "cat": "Op",
  61684. "name": "AssignAddVariableOp",
  61685. "pid": 23,
  61686. "tid": 0,
  61687. "ts": 1539815917571572,
  61688. "dur": 3,
  61689. "args": {
  61690. "name": "training/TFOptimizer/Adam/update_2_17/AssignAddVariableOp",
  61691. "op": "AssignAddVariableOp"
  61692. }
  61693. },
  61694. {
  61695. "ph": "X",
  61696. "cat": "Op",
  61697. "name": "AssignSubVariableOp",
  61698. "pid": 23,
  61699. "tid": 1,
  61700. "ts": 1539815916913134,
  61701. "dur": 1,
  61702. "args": {
  61703. "name": "tower_2/batch_normalization/AssignMovingAvg/AssignSubVariableOp",
  61704. "op": "AssignSubVariableOp"
  61705. }
  61706. },
  61707. {
  61708. "ph": "X",
  61709. "cat": "Op",
  61710. "name": "AssignSubVariableOp",
  61711. "pid": 23,
  61712. "tid": 1,
  61713. "ts": 1539815916913215,
  61714. "dur": 2,
  61715. "args": {
  61716. "name": "tower_2/batch_normalization/AssignMovingAvg_1/AssignSubVariableOp",
  61717. "op": "AssignSubVariableOp"
  61718. }
  61719. },
  61720. {
  61721. "ph": "X",
  61722. "cat": "Op",
  61723. "name": "AssignSubVariableOp",
  61724. "pid": 23,
  61725. "tid": 1,
  61726. "ts": 1539815916939432,
  61727. "dur": 1,
  61728. "args": {
  61729. "name": "tower_2/batch_normalization_1/AssignMovingAvg/AssignSubVariableOp",
  61730. "op": "AssignSubVariableOp"
  61731. }
  61732. },
  61733. {
  61734. "ph": "X",
  61735. "cat": "Op",
  61736. "name": "AssignSubVariableOp",
  61737. "pid": 23,
  61738. "tid": 1,
  61739. "ts": 1539815916939443,
  61740. "dur": 1,
  61741. "args": {
  61742. "name": "tower_2/batch_normalization_1/AssignMovingAvg_1/AssignSubVariableOp",
  61743. "op": "AssignSubVariableOp"
  61744. }
  61745. },
  61746. {
  61747. "ph": "X",
  61748. "cat": "Op",
  61749. "name": "AssignSubVariableOp",
  61750. "pid": 23,
  61751. "tid": 1,
  61752. "ts": 1539815916964702,
  61753. "dur": 1,
  61754. "args": {
  61755. "name": "tower_2/batch_normalization_2/AssignMovingAvg/AssignSubVariableOp",
  61756. "op": "AssignSubVariableOp"
  61757. }
  61758. },
  61759. {
  61760. "ph": "X",
  61761. "cat": "Op",
  61762. "name": "AssignSubVariableOp",
  61763. "pid": 23,
  61764. "tid": 1,
  61765. "ts": 1539815916964713,
  61766. "dur": 2,
  61767. "args": {
  61768. "name": "tower_2/batch_normalization_2/AssignMovingAvg_1/AssignSubVariableOp",
  61769. "op": "AssignSubVariableOp"
  61770. }
  61771. },
  61772. {
  61773. "ph": "X",
  61774. "cat": "Op",
  61775. "name": "ConcatV2",
  61776. "pid": 23,
  61777. "tid": 1,
  61778. "ts": 1539815917097570,
  61779. "dur": 3,
  61780. "args": {
  61781. "name": "training/TFOptimizer/concat_2",
  61782. "op": "ConcatV2"
  61783. }
  61784. },
  61785. {
  61786. "ph": "X",
  61787. "cat": "Op",
  61788. "name": "ConcatV2",
  61789. "pid": 23,
  61790. "tid": 1,
  61791. "ts": 1539815917097576,
  61792. "dur": 2,
  61793. "args": {
  61794. "name": "training/TFOptimizer/concat_2",
  61795. "op": "ConcatV2"
  61796. }
  61797. },
  61798. {
  61799. "ph": "X",
  61800. "cat": "Op",
  61801. "name": "ResourceApplyAdam",
  61802. "pid": 23,
  61803. "tid": 1,
  61804. "ts": 1539815917568179,
  61805. "dur": 1,
  61806. "args": {
  61807. "name": "training/TFOptimizer/Adam/update_2_11/update_conv2d_2/bias/replica_2/ResourceApplyAdam",
  61808. "op": "ResourceApplyAdam"
  61809. }
  61810. },
  61811. {
  61812. "ph": "X",
  61813. "cat": "Op",
  61814. "name": "ResourceApplyAdam",
  61815. "pid": 23,
  61816. "tid": 1,
  61817. "ts": 1539815917568223,
  61818. "dur": 1,
  61819. "args": {
  61820. "name": "training/TFOptimizer/Adam/update_2_11/update_conv2d_2/bias/replica_2/ResourceApplyAdam",
  61821. "op": "ResourceApplyAdam"
  61822. }
  61823. },
  61824. {
  61825. "ph": "X",
  61826. "cat": "Op",
  61827. "name": "ResourceApplyAdam",
  61828. "pid": 23,
  61829. "tid": 1,
  61830. "ts": 1539815917568502,
  61831. "dur": 1,
  61832. "args": {
  61833. "name": "training/TFOptimizer/Adam/update_2_13/update_dense/bias/replica_2/ResourceApplyAdam",
  61834. "op": "ResourceApplyAdam"
  61835. }
  61836. },
  61837. {
  61838. "ph": "X",
  61839. "cat": "Op",
  61840. "name": "ResourceApplyAdam",
  61841. "pid": 23,
  61842. "tid": 1,
  61843. "ts": 1539815917568523,
  61844. "dur": 1,
  61845. "args": {
  61846. "name": "training/TFOptimizer/Adam/update_2_13/update_dense/bias/replica_2/ResourceApplyAdam",
  61847. "op": "ResourceApplyAdam"
  61848. }
  61849. },
  61850. {
  61851. "ph": "X",
  61852. "cat": "Op",
  61853. "name": "ResourceApplyAdam",
  61854. "pid": 23,
  61855. "tid": 1,
  61856. "ts": 1539815917568604,
  61857. "dur": 2,
  61858. "args": {
  61859. "name": "training/TFOptimizer/Adam/update_2_15/update_dense_1/bias/replica_2/ResourceApplyAdam",
  61860. "op": "ResourceApplyAdam"
  61861. }
  61862. },
  61863. {
  61864. "ph": "X",
  61865. "cat": "Op",
  61866. "name": "ResourceApplyAdam",
  61867. "pid": 23,
  61868. "tid": 1,
  61869. "ts": 1539815917568623,
  61870. "dur": 1,
  61871. "args": {
  61872. "name": "training/TFOptimizer/Adam/update_2_15/update_dense_1/bias/replica_2/ResourceApplyAdam",
  61873. "op": "ResourceApplyAdam"
  61874. }
  61875. },
  61876. {
  61877. "ph": "X",
  61878. "cat": "Op",
  61879. "name": "ResourceApplyAdam",
  61880. "pid": 23,
  61881. "tid": 1,
  61882. "ts": 1539815917568762,
  61883. "dur": 1,
  61884. "args": {
  61885. "name": "training/TFOptimizer/Adam/update_2_3/update_conv2d/bias/replica_2/ResourceApplyAdam",
  61886. "op": "ResourceApplyAdam"
  61887. }
  61888. },
  61889. {
  61890. "ph": "X",
  61891. "cat": "Op",
  61892. "name": "ResourceApplyAdam",
  61893. "pid": 23,
  61894. "tid": 1,
  61895. "ts": 1539815917568783,
  61896. "dur": 1,
  61897. "args": {
  61898. "name": "training/TFOptimizer/Adam/update_2_3/update_conv2d/bias/replica_2/ResourceApplyAdam",
  61899. "op": "ResourceApplyAdam"
  61900. }
  61901. },
  61902. {
  61903. "ph": "X",
  61904. "cat": "Op",
  61905. "name": "ResourceApplyAdam",
  61906. "pid": 23,
  61907. "tid": 1,
  61908. "ts": 1539815917568883,
  61909. "dur": 2,
  61910. "args": {
  61911. "name": "training/TFOptimizer/Adam/update_2_4/update_batch_normalization_1/gamma/replica_2/ResourceApplyAdam",
  61912. "op": "ResourceApplyAdam"
  61913. }
  61914. },
  61915. {
  61916. "ph": "X",
  61917. "cat": "Op",
  61918. "name": "ResourceApplyAdam",
  61919. "pid": 23,
  61920. "tid": 1,
  61921. "ts": 1539815917568909,
  61922. "dur": 1,
  61923. "args": {
  61924. "name": "training/TFOptimizer/Adam/update_2_4/update_batch_normalization_1/gamma/replica_2/ResourceApplyAdam",
  61925. "op": "ResourceApplyAdam"
  61926. }
  61927. },
  61928. {
  61929. "ph": "X",
  61930. "cat": "Op",
  61931. "name": "ResourceApplyAdam",
  61932. "pid": 23,
  61933. "tid": 1,
  61934. "ts": 1539815917568988,
  61935. "dur": 2,
  61936. "args": {
  61937. "name": "training/TFOptimizer/Adam/update_2_5/update_batch_normalization_1/beta/replica_2/ResourceApplyAdam",
  61938. "op": "ResourceApplyAdam"
  61939. }
  61940. },
  61941. {
  61942. "ph": "X",
  61943. "cat": "Op",
  61944. "name": "ResourceApplyAdam",
  61945. "pid": 23,
  61946. "tid": 1,
  61947. "ts": 1539815917569006,
  61948. "dur": 1,
  61949. "args": {
  61950. "name": "training/TFOptimizer/Adam/update_2_5/update_batch_normalization_1/beta/replica_2/ResourceApplyAdam",
  61951. "op": "ResourceApplyAdam"
  61952. }
  61953. },
  61954. {
  61955. "ph": "X",
  61956. "cat": "Op",
  61957. "name": "ResourceApplyAdam",
  61958. "pid": 23,
  61959. "tid": 1,
  61960. "ts": 1539815917569128,
  61961. "dur": 1,
  61962. "args": {
  61963. "name": "training/TFOptimizer/Adam/update_2_7/update_conv2d_1/bias/replica_2/ResourceApplyAdam",
  61964. "op": "ResourceApplyAdam"
  61965. }
  61966. },
  61967. {
  61968. "ph": "X",
  61969. "cat": "Op",
  61970. "name": "ResourceApplyAdam",
  61971. "pid": 23,
  61972. "tid": 1,
  61973. "ts": 1539815917569146,
  61974. "dur": 1,
  61975. "args": {
  61976. "name": "training/TFOptimizer/Adam/update_2_7/update_conv2d_1/bias/replica_2/ResourceApplyAdam",
  61977. "op": "ResourceApplyAdam"
  61978. }
  61979. },
  61980. {
  61981. "ph": "X",
  61982. "cat": "Op",
  61983. "name": "ResourceApplyAdam",
  61984. "pid": 23,
  61985. "tid": 1,
  61986. "ts": 1539815917569230,
  61987. "dur": 1,
  61988. "args": {
  61989. "name": "training/TFOptimizer/Adam/update_2_8/update_batch_normalization_2/gamma/replica_2/ResourceApplyAdam",
  61990. "op": "ResourceApplyAdam"
  61991. }
  61992. },
  61993. {
  61994. "ph": "X",
  61995. "cat": "Op",
  61996. "name": "ResourceApplyAdam",
  61997. "pid": 23,
  61998. "tid": 1,
  61999. "ts": 1539815917569249,
  62000. "dur": 2,
  62001. "args": {
  62002. "name": "training/TFOptimizer/Adam/update_2_8/update_batch_normalization_2/gamma/replica_2/ResourceApplyAdam",
  62003. "op": "ResourceApplyAdam"
  62004. }
  62005. },
  62006. {
  62007. "ph": "X",
  62008. "cat": "Op",
  62009. "name": "ResourceApplyAdam",
  62010. "pid": 23,
  62011. "tid": 1,
  62012. "ts": 1539815917569480,
  62013. "dur": 1,
  62014. "args": {
  62015. "name": "training/TFOptimizer/Adam/update_2_9/update_batch_normalization_2/beta/replica_2/ResourceApplyAdam",
  62016. "op": "ResourceApplyAdam"
  62017. }
  62018. },
  62019. {
  62020. "ph": "X",
  62021. "cat": "Op",
  62022. "name": "ResourceApplyAdam",
  62023. "pid": 23,
  62024. "tid": 1,
  62025. "ts": 1539815917569519,
  62026. "dur": 1,
  62027. "args": {
  62028. "name": "training/TFOptimizer/Adam/update_2_9/update_batch_normalization_2/beta/replica_2/ResourceApplyAdam",
  62029. "op": "ResourceApplyAdam"
  62030. }
  62031. },
  62032. {
  62033. "ph": "X",
  62034. "cat": "Op",
  62035. "name": "ResourceApplyAdam",
  62036. "pid": 23,
  62037. "tid": 1,
  62038. "ts": 1539815917569647,
  62039. "dur": 2,
  62040. "args": {
  62041. "name": "training/TFOptimizer/Adam/update_2/update_batch_normalization/gamma/replica_2/ResourceApplyAdam",
  62042. "op": "ResourceApplyAdam"
  62043. }
  62044. },
  62045. {
  62046. "ph": "X",
  62047. "cat": "Op",
  62048. "name": "ResourceApplyAdam",
  62049. "pid": 23,
  62050. "tid": 1,
  62051. "ts": 1539815917569666,
  62052. "dur": 1,
  62053. "args": {
  62054. "name": "training/TFOptimizer/Adam/update_2/update_batch_normalization/gamma/replica_2/ResourceApplyAdam",
  62055. "op": "ResourceApplyAdam"
  62056. }
  62057. },
  62058. {
  62059. "ph": "X",
  62060. "cat": "Op",
  62061. "name": "ResourceApplyAdam",
  62062. "pid": 23,
  62063. "tid": 1,
  62064. "ts": 1539815917569766,
  62065. "dur": 1,
  62066. "args": {
  62067. "name": "training/TFOptimizer/Adam/update_2_1/update_batch_normalization/beta/replica_2/ResourceApplyAdam",
  62068. "op": "ResourceApplyAdam"
  62069. }
  62070. },
  62071. {
  62072. "ph": "X",
  62073. "cat": "Op",
  62074. "name": "ResourceApplyAdam",
  62075. "pid": 23,
  62076. "tid": 1,
  62077. "ts": 1539815917569799,
  62078. "dur": 1,
  62079. "args": {
  62080. "name": "training/TFOptimizer/Adam/update_2_1/update_batch_normalization/beta/replica_2/ResourceApplyAdam",
  62081. "op": "ResourceApplyAdam"
  62082. }
  62083. },
  62084. {
  62085. "ph": "X",
  62086. "cat": "Op",
  62087. "name": "ResourceApplyAdam",
  62088. "pid": 23,
  62089. "tid": 1,
  62090. "ts": 1539815917569877,
  62091. "dur": 1,
  62092. "args": {
  62093. "name": "training/TFOptimizer/Adam/update_2_10/update_conv2d_2/kernel/replica_2/ResourceApplyAdam",
  62094. "op": "ResourceApplyAdam"
  62095. }
  62096. },
  62097. {
  62098. "ph": "X",
  62099. "cat": "Op",
  62100. "name": "ResourceApplyAdam",
  62101. "pid": 23,
  62102. "tid": 1,
  62103. "ts": 1539815917569898,
  62104. "dur": 1,
  62105. "args": {
  62106. "name": "training/TFOptimizer/Adam/update_2_10/update_conv2d_2/kernel/replica_2/ResourceApplyAdam",
  62107. "op": "ResourceApplyAdam"
  62108. }
  62109. },
  62110. {
  62111. "ph": "X",
  62112. "cat": "Op",
  62113. "name": "ResourceApplyAdam",
  62114. "pid": 23,
  62115. "tid": 1,
  62116. "ts": 1539815917570023,
  62117. "dur": 1,
  62118. "args": {
  62119. "name": "training/TFOptimizer/Adam/update_2_12/update_dense/kernel/replica_2/ResourceApplyAdam",
  62120. "op": "ResourceApplyAdam"
  62121. }
  62122. },
  62123. {
  62124. "ph": "X",
  62125. "cat": "Op",
  62126. "name": "ResourceApplyAdam",
  62127. "pid": 23,
  62128. "tid": 1,
  62129. "ts": 1539815917570043,
  62130. "dur": 1,
  62131. "args": {
  62132. "name": "training/TFOptimizer/Adam/update_2_12/update_dense/kernel/replica_2/ResourceApplyAdam",
  62133. "op": "ResourceApplyAdam"
  62134. }
  62135. },
  62136. {
  62137. "ph": "X",
  62138. "cat": "Op",
  62139. "name": "ResourceApplyAdam",
  62140. "pid": 23,
  62141. "tid": 1,
  62142. "ts": 1539815917570127,
  62143. "dur": 1,
  62144. "args": {
  62145. "name": "training/TFOptimizer/Adam/update_2_14/update_dense_1/kernel/replica_2/ResourceApplyAdam",
  62146. "op": "ResourceApplyAdam"
  62147. }
  62148. },
  62149. {
  62150. "ph": "X",
  62151. "cat": "Op",
  62152. "name": "ResourceApplyAdam",
  62153. "pid": 23,
  62154. "tid": 1,
  62155. "ts": 1539815917570145,
  62156. "dur": 1,
  62157. "args": {
  62158. "name": "training/TFOptimizer/Adam/update_2_14/update_dense_1/kernel/replica_2/ResourceApplyAdam",
  62159. "op": "ResourceApplyAdam"
  62160. }
  62161. },
  62162. {
  62163. "ph": "X",
  62164. "cat": "Op",
  62165. "name": "ResourceApplyAdam",
  62166. "pid": 23,
  62167. "tid": 1,
  62168. "ts": 1539815917570221,
  62169. "dur": 2,
  62170. "args": {
  62171. "name": "training/TFOptimizer/Adam/update_2_2/update_conv2d/kernel/replica_2/ResourceApplyAdam",
  62172. "op": "ResourceApplyAdam"
  62173. }
  62174. },
  62175. {
  62176. "ph": "X",
  62177. "cat": "Op",
  62178. "name": "ResourceApplyAdam",
  62179. "pid": 23,
  62180. "tid": 1,
  62181. "ts": 1539815917570243,
  62182. "dur": 2,
  62183. "args": {
  62184. "name": "training/TFOptimizer/Adam/update_2_2/update_conv2d/kernel/replica_2/ResourceApplyAdam",
  62185. "op": "ResourceApplyAdam"
  62186. }
  62187. },
  62188. {
  62189. "ph": "X",
  62190. "cat": "Op",
  62191. "name": "ResourceApplyAdam",
  62192. "pid": 23,
  62193. "tid": 1,
  62194. "ts": 1539815917570346,
  62195. "dur": 1,
  62196. "args": {
  62197. "name": "training/TFOptimizer/Adam/update_2_6/update_conv2d_1/kernel/replica_2/ResourceApplyAdam",
  62198. "op": "ResourceApplyAdam"
  62199. }
  62200. },
  62201. {
  62202. "ph": "X",
  62203. "cat": "Op",
  62204. "name": "ResourceApplyAdam",
  62205. "pid": 23,
  62206. "tid": 1,
  62207. "ts": 1539815917570365,
  62208. "dur": 1,
  62209. "args": {
  62210. "name": "training/TFOptimizer/Adam/update_2_6/update_conv2d_1/kernel/replica_2/ResourceApplyAdam",
  62211. "op": "ResourceApplyAdam"
  62212. }
  62213. },
  62214. {
  62215. "ph": "X",
  62216. "cat": "Op",
  62217. "name": "AssignAddVariableOp",
  62218. "pid": 23,
  62219. "tid": 1,
  62220. "ts": 1539815917571534,
  62221. "dur": 1,
  62222. "args": {
  62223. "name": "training/TFOptimizer/Adam/update_2_17/AssignAddVariableOp",
  62224. "op": "AssignAddVariableOp"
  62225. }
  62226. },
  62227. {
  62228. "ph": "X",
  62229. "cat": "Op",
  62230. "name": "Cast",
  62231. "pid": 25,
  62232. "tid": 0,
  62233. "ts": 1539815912107271,
  62234. "dur": 7,
  62235. "args": {
  62236. "name": "tower_1/Cast_1",
  62237. "op": "Cast"
  62238. }
  62239. },
  62240. {
  62241. "ph": "X",
  62242. "cat": "Op",
  62243. "name": "Cast",
  62244. "pid": 25,
  62245. "tid": 0,
  62246. "ts": 1539815912107356,
  62247. "dur": 7,
  62248. "args": {
  62249. "name": "tower_1/Cast",
  62250. "op": "Cast"
  62251. }
  62252. },
  62253. {
  62254. "ph": "X",
  62255. "cat": "Op",
  62256. "name": "Cast",
  62257. "pid": 25,
  62258. "tid": 0,
  62259. "ts": 1539815912107425,
  62260. "dur": 4,
  62261. "args": {
  62262. "name": "tower_1/loss/activation_1_loss/Cast",
  62263. "op": "Cast"
  62264. }
  62265. },
  62266. {
  62267. "ph": "X",
  62268. "cat": "Op",
  62269. "name": "FusedBatchNorm",
  62270. "pid": 25,
  62271. "tid": 0,
  62272. "ts": 1539815916895241,
  62273. "dur": 163,
  62274. "args": {
  62275. "name": "tower_1/batch_normalization/FusedBatchNorm",
  62276. "op": "FusedBatchNorm"
  62277. }
  62278. },
  62279. {
  62280. "ph": "X",
  62281. "cat": "Op",
  62282. "name": "Sub",
  62283. "pid": 25,
  62284. "tid": 0,
  62285. "ts": 1539815916895439,
  62286. "dur": 4,
  62287. "args": {
  62288. "name": "tower_1/batch_normalization/AssignMovingAvg/sub_1",
  62289. "op": "Sub"
  62290. }
  62291. },
  62292. {
  62293. "ph": "X",
  62294. "cat": "Op",
  62295. "name": "Sub",
  62296. "pid": 25,
  62297. "tid": 0,
  62298. "ts": 1539815916895476,
  62299. "dur": 4,
  62300. "args": {
  62301. "name": "tower_1/batch_normalization/AssignMovingAvg_1/sub_1",
  62302. "op": "Sub"
  62303. }
  62304. },
  62305. {
  62306. "ph": "X",
  62307. "cat": "Op",
  62308. "name": "Conv2D",
  62309. "pid": 25,
  62310. "tid": 0,
  62311. "ts": 1539815916895540,
  62312. "dur": 6,
  62313. "args": {
  62314. "name": "tower_1/conv2d/Conv2D",
  62315. "op": "Conv2D"
  62316. }
  62317. },
  62318. {
  62319. "ph": "X",
  62320. "cat": "Op",
  62321. "name": "Conv2D",
  62322. "pid": 25,
  62323. "tid": 0,
  62324. "ts": 1539815916898001,
  62325. "dur": 259,
  62326. "args": {
  62327. "name": "tower_1/conv2d/Conv2D",
  62328. "op": "Conv2D"
  62329. }
  62330. },
  62331. {
  62332. "ph": "X",
  62333. "cat": "Op",
  62334. "name": "Conv2D",
  62335. "pid": 25,
  62336. "tid": 0,
  62337. "ts": 1539815916898314,
  62338. "dur": 259,
  62339. "args": {
  62340. "name": "tower_1/conv2d/Conv2D",
  62341. "op": "Conv2D"
  62342. }
  62343. },
  62344. {
  62345. "ph": "X",
  62346. "cat": "Op",
  62347. "name": "Conv2D",
  62348. "pid": 25,
  62349. "tid": 0,
  62350. "ts": 1539815916903458,
  62351. "dur": 5,
  62352. "args": {
  62353. "name": "tower_1/conv2d/Conv2D",
  62354. "op": "Conv2D"
  62355. }
  62356. },
  62357. {
  62358. "ph": "X",
  62359. "cat": "Op",
  62360. "name": "Conv2D",
  62361. "pid": 25,
  62362. "tid": 0,
  62363. "ts": 1539815916903487,
  62364. "dur": 111,
  62365. "args": {
  62366. "name": "tower_1/conv2d/Conv2D",
  62367. "op": "Conv2D"
  62368. }
  62369. },
  62370. {
  62371. "ph": "X",
  62372. "cat": "Op",
  62373. "name": "Conv2D",
  62374. "pid": 25,
  62375. "tid": 0,
  62376. "ts": 1539815916903683,
  62377. "dur": 4,
  62378. "args": {
  62379. "name": "tower_1/conv2d/Conv2D",
  62380. "op": "Conv2D"
  62381. }
  62382. },
  62383. {
  62384. "ph": "X",
  62385. "cat": "Op",
  62386. "name": "Conv2D",
  62387. "pid": 25,
  62388. "tid": 0,
  62389. "ts": 1539815916903699,
  62390. "dur": 104,
  62391. "args": {
  62392. "name": "tower_1/conv2d/Conv2D",
  62393. "op": "Conv2D"
  62394. }
  62395. },
  62396. {
  62397. "ph": "X",
  62398. "cat": "Op",
  62399. "name": "Conv2D",
  62400. "pid": 25,
  62401. "tid": 0,
  62402. "ts": 1539815916903856,
  62403. "dur": 34,
  62404. "args": {
  62405. "name": "tower_1/conv2d/Conv2D",
  62406. "op": "Conv2D"
  62407. }
  62408. },
  62409. {
  62410. "ph": "X",
  62411. "cat": "Op",
  62412. "name": "Conv2D",
  62413. "pid": 25,
  62414. "tid": 0,
  62415. "ts": 1539815916903902,
  62416. "dur": 240,
  62417. "args": {
  62418. "name": "tower_1/conv2d/Conv2D",
  62419. "op": "Conv2D"
  62420. }
  62421. },
  62422. {
  62423. "ph": "X",
  62424. "cat": "Op",
  62425. "name": "Conv2D",
  62426. "pid": 25,
  62427. "tid": 0,
  62428. "ts": 1539815916904194,
  62429. "dur": 36,
  62430. "args": {
  62431. "name": "tower_1/conv2d/Conv2D",
  62432. "op": "Conv2D"
  62433. }
  62434. },
  62435. {
  62436. "ph": "X",
  62437. "cat": "Op",
  62438. "name": "Conv2D",
  62439. "pid": 25,
  62440. "tid": 0,
  62441. "ts": 1539815916904235,
  62442. "dur": 239,
  62443. "args": {
  62444. "name": "tower_1/conv2d/Conv2D",
  62445. "op": "Conv2D"
  62446. }
  62447. },
  62448. {
  62449. "ph": "X",
  62450. "cat": "Op",
  62451. "name": "Conv2D",
  62452. "pid": 25,
  62453. "tid": 0,
  62454. "ts": 1539815916904553,
  62455. "dur": 4,
  62456. "args": {
  62457. "name": "tower_1/conv2d/Conv2D",
  62458. "op": "Conv2D"
  62459. }
  62460. },
  62461. {
  62462. "ph": "X",
  62463. "cat": "Op",
  62464. "name": "Conv2D",
  62465. "pid": 25,
  62466. "tid": 0,
  62467. "ts": 1539815916904583,
  62468. "dur": 16,
  62469. "args": {
  62470. "name": "tower_1/conv2d/Conv2D",
  62471. "op": "Conv2D"
  62472. }
  62473. },
  62474. {
  62475. "ph": "X",
  62476. "cat": "Op",
  62477. "name": "Conv2D",
  62478. "pid": 25,
  62479. "tid": 0,
  62480. "ts": 1539815916904628,
  62481. "dur": 4,
  62482. "args": {
  62483. "name": "tower_1/conv2d/Conv2D",
  62484. "op": "Conv2D"
  62485. }
  62486. },
  62487. {
  62488. "ph": "X",
  62489. "cat": "Op",
  62490. "name": "Conv2D",
  62491. "pid": 25,
  62492. "tid": 0,
  62493. "ts": 1539815916905408,
  62494. "dur": 113,
  62495. "args": {
  62496. "name": "tower_1/conv2d/Conv2D",
  62497. "op": "Conv2D"
  62498. }
  62499. },
  62500. {
  62501. "ph": "X",
  62502. "cat": "Op",
  62503. "name": "Conv2D",
  62504. "pid": 25,
  62505. "tid": 0,
  62506. "ts": 1539815916905525,
  62507. "dur": 189,
  62508. "args": {
  62509. "name": "tower_1/conv2d/Conv2D",
  62510. "op": "Conv2D"
  62511. }
  62512. },
  62513. {
  62514. "ph": "X",
  62515. "cat": "Op",
  62516. "name": "Conv2D",
  62517. "pid": 25,
  62518. "tid": 0,
  62519. "ts": 1539815916905768,
  62520. "dur": 4,
  62521. "args": {
  62522. "name": "tower_1/conv2d/Conv2D",
  62523. "op": "Conv2D"
  62524. }
  62525. },
  62526. {
  62527. "ph": "X",
  62528. "cat": "Op",
  62529. "name": "Conv2D",
  62530. "pid": 25,
  62531. "tid": 0,
  62532. "ts": 1539815916905781,
  62533. "dur": 16,
  62534. "args": {
  62535. "name": "tower_1/conv2d/Conv2D",
  62536. "op": "Conv2D"
  62537. }
  62538. },
  62539. {
  62540. "ph": "X",
  62541. "cat": "Op",
  62542. "name": "Conv2D",
  62543. "pid": 25,
  62544. "tid": 0,
  62545. "ts": 1539815916905825,
  62546. "dur": 4,
  62547. "args": {
  62548. "name": "tower_1/conv2d/Conv2D",
  62549. "op": "Conv2D"
  62550. }
  62551. },
  62552. {
  62553. "ph": "X",
  62554. "cat": "Op",
  62555. "name": "Conv2D",
  62556. "pid": 25,
  62557. "tid": 0,
  62558. "ts": 1539815916905834,
  62559. "dur": 107,
  62560. "args": {
  62561. "name": "tower_1/conv2d/Conv2D",
  62562. "op": "Conv2D"
  62563. }
  62564. },
  62565. {
  62566. "ph": "X",
  62567. "cat": "Op",
  62568. "name": "Conv2D",
  62569. "pid": 25,
  62570. "tid": 0,
  62571. "ts": 1539815916905945,
  62572. "dur": 185,
  62573. "args": {
  62574. "name": "tower_1/conv2d/Conv2D",
  62575. "op": "Conv2D"
  62576. }
  62577. },
  62578. {
  62579. "ph": "X",
  62580. "cat": "Op",
  62581. "name": "Conv2D",
  62582. "pid": 25,
  62583. "tid": 0,
  62584. "ts": 1539815916906211,
  62585. "dur": 16,
  62586. "args": {
  62587. "name": "tower_1/conv2d/Conv2D",
  62588. "op": "Conv2D"
  62589. }
  62590. },
  62591. {
  62592. "ph": "X",
  62593. "cat": "Op",
  62594. "name": "Conv2D",
  62595. "pid": 25,
  62596. "tid": 0,
  62597. "ts": 1539815916907334,
  62598. "dur": 17,
  62599. "args": {
  62600. "name": "tower_1/conv2d/Conv2D",
  62601. "op": "Conv2D"
  62602. }
  62603. },
  62604. {
  62605. "ph": "X",
  62606. "cat": "Op",
  62607. "name": "Conv2D",
  62608. "pid": 25,
  62609. "tid": 0,
  62610. "ts": 1539815916907765,
  62611. "dur": 27,
  62612. "args": {
  62613. "name": "tower_1/conv2d/Conv2D",
  62614. "op": "Conv2D"
  62615. }
  62616. },
  62617. {
  62618. "ph": "X",
  62619. "cat": "Op",
  62620. "name": "Conv2D",
  62621. "pid": 25,
  62622. "tid": 0,
  62623. "ts": 1539815916907796,
  62624. "dur": 6,
  62625. "args": {
  62626. "name": "tower_1/conv2d/Conv2D",
  62627. "op": "Conv2D"
  62628. }
  62629. },
  62630. {
  62631. "ph": "X",
  62632. "cat": "Op",
  62633. "name": "Conv2D",
  62634. "pid": 25,
  62635. "tid": 0,
  62636. "ts": 1539815916907805,
  62637. "dur": 238,
  62638. "args": {
  62639. "name": "tower_1/conv2d/Conv2D",
  62640. "op": "Conv2D"
  62641. }
  62642. },
  62643. {
  62644. "ph": "X",
  62645. "cat": "Op",
  62646. "name": "Conv2D",
  62647. "pid": 25,
  62648. "tid": 0,
  62649. "ts": 1539815916908048,
  62650. "dur": 566,
  62651. "args": {
  62652. "name": "tower_1/conv2d/Conv2D",
  62653. "op": "Conv2D"
  62654. }
  62655. },
  62656. {
  62657. "ph": "X",
  62658. "cat": "Op",
  62659. "name": "Conv2D",
  62660. "pid": 25,
  62661. "tid": 0,
  62662. "ts": 1539815916908690,
  62663. "dur": 26,
  62664. "args": {
  62665. "name": "tower_1/conv2d/Conv2D",
  62666. "op": "Conv2D"
  62667. }
  62668. },
  62669. {
  62670. "ph": "X",
  62671. "cat": "Op",
  62672. "name": "Conv2D",
  62673. "pid": 25,
  62674. "tid": 0,
  62675. "ts": 1539815916908720,
  62676. "dur": 6,
  62677. "args": {
  62678. "name": "tower_1/conv2d/Conv2D",
  62679. "op": "Conv2D"
  62680. }
  62681. },
  62682. {
  62683. "ph": "X",
  62684. "cat": "Op",
  62685. "name": "Conv2D",
  62686. "pid": 25,
  62687. "tid": 0,
  62688. "ts": 1539815916908729,
  62689. "dur": 240,
  62690. "args": {
  62691. "name": "tower_1/conv2d/Conv2D",
  62692. "op": "Conv2D"
  62693. }
  62694. },
  62695. {
  62696. "ph": "X",
  62697. "cat": "Op",
  62698. "name": "Conv2D",
  62699. "pid": 25,
  62700. "tid": 0,
  62701. "ts": 1539815916908973,
  62702. "dur": 566,
  62703. "args": {
  62704. "name": "tower_1/conv2d/Conv2D",
  62705. "op": "Conv2D"
  62706. }
  62707. },
  62708. {
  62709. "ph": "X",
  62710. "cat": "Op",
  62711. "name": "Conv2D",
  62712. "pid": 25,
  62713. "tid": 0,
  62714. "ts": 1539815916910732,
  62715. "dur": 4,
  62716. "args": {
  62717. "name": "tower_1/conv2d/Conv2D",
  62718. "op": "Conv2D"
  62719. }
  62720. },
  62721. {
  62722. "ph": "X",
  62723. "cat": "Op",
  62724. "name": "Conv2D",
  62725. "pid": 25,
  62726. "tid": 0,
  62727. "ts": 1539815916910779,
  62728. "dur": 104,
  62729. "args": {
  62730. "name": "tower_1/conv2d/Conv2D",
  62731. "op": "Conv2D"
  62732. }
  62733. },
  62734. {
  62735. "ph": "X",
  62736. "cat": "Op",
  62737. "name": "Mul",
  62738. "pid": 25,
  62739. "tid": 0,
  62740. "ts": 1539815916910886,
  62741. "dur": 5,
  62742. "args": {
  62743. "name": "tower_1/batch_normalization/AssignMovingAvg/mul",
  62744. "op": "Mul"
  62745. }
  62746. },
  62747. {
  62748. "ph": "X",
  62749. "cat": "Op",
  62750. "name": "Mul",
  62751. "pid": 25,
  62752. "tid": 0,
  62753. "ts": 1539815916910895,
  62754. "dur": 3,
  62755. "args": {
  62756. "name": "tower_1/batch_normalization/AssignMovingAvg_1/mul",
  62757. "op": "Mul"
  62758. }
  62759. },
  62760. {
  62761. "ph": "X",
  62762. "cat": "Op",
  62763. "name": "BiasAdd",
  62764. "pid": 25,
  62765. "tid": 0,
  62766. "ts": 1539815916910928,
  62767. "dur": 165,
  62768. "args": {
  62769. "name": "tower_1/conv2d/BiasAdd",
  62770. "op": "BiasAdd"
  62771. }
  62772. },
  62773. {
  62774. "ph": "X",
  62775. "cat": "Op",
  62776. "name": "AssignSubVariableOp",
  62777. "pid": 25,
  62778. "tid": 0,
  62779. "ts": 1539815916913162,
  62780. "dur": 4,
  62781. "args": {
  62782. "name": "tower_1/batch_normalization/AssignMovingAvg/AssignSubVariableOp",
  62783. "op": "AssignSubVariableOp"
  62784. }
  62785. },
  62786. {
  62787. "ph": "X",
  62788. "cat": "Op",
  62789. "name": "AssignSubVariableOp",
  62790. "pid": 25,
  62791. "tid": 0,
  62792. "ts": 1539815916913269,
  62793. "dur": 3,
  62794. "args": {
  62795. "name": "tower_1/batch_normalization/AssignMovingAvg_1/AssignSubVariableOp",
  62796. "op": "AssignSubVariableOp"
  62797. }
  62798. },
  62799. {
  62800. "ph": "X",
  62801. "cat": "Op",
  62802. "name": "Elu",
  62803. "pid": 25,
  62804. "tid": 0,
  62805. "ts": 1539815916913344,
  62806. "dur": 137,
  62807. "args": {
  62808. "name": "tower_1/conv2d/Elu",
  62809. "op": "Elu"
  62810. }
  62811. },
  62812. {
  62813. "ph": "X",
  62814. "cat": "Op",
  62815. "name": "MaxPool",
  62816. "pid": 25,
  62817. "tid": 0,
  62818. "ts": 1539815916915083,
  62819. "dur": 101,
  62820. "args": {
  62821. "name": "tower_1/max_pooling2d/MaxPool",
  62822. "op": "MaxPool"
  62823. }
  62824. },
  62825. {
  62826. "ph": "X",
  62827. "cat": "Op",
  62828. "name": "Mul",
  62829. "pid": 25,
  62830. "tid": 0,
  62831. "ts": 1539815916915187,
  62832. "dur": 34,
  62833. "args": {
  62834. "name": "tower_1/dropout/dropout/div",
  62835. "op": "Mul"
  62836. }
  62837. },
  62838. {
  62839. "ph": "X",
  62840. "cat": "Op",
  62841. "name": "RandomUniform",
  62842. "pid": 25,
  62843. "tid": 0,
  62844. "ts": 1539815916915225,
  62845. "dur": 22,
  62846. "args": {
  62847. "name": "tower_1/dropout/dropout/random_uniform/RandomUniform",
  62848. "op": "RandomUniform"
  62849. }
  62850. },
  62851. {
  62852. "ph": "X",
  62853. "cat": "Op",
  62854. "name": "Add",
  62855. "pid": 25,
  62856. "tid": 0,
  62857. "ts": 1539815916915256,
  62858. "dur": 35,
  62859. "args": {
  62860. "name": "tower_1/dropout/dropout/add",
  62861. "op": "Add"
  62862. }
  62863. },
  62864. {
  62865. "ph": "X",
  62866. "cat": "Op",
  62867. "name": "Floor",
  62868. "pid": 25,
  62869. "tid": 0,
  62870. "ts": 1539815916915316,
  62871. "dur": 37,
  62872. "args": {
  62873. "name": "tower_1/dropout/dropout/Floor",
  62874. "op": "Floor"
  62875. }
  62876. },
  62877. {
  62878. "ph": "X",
  62879. "cat": "Op",
  62880. "name": "Transpose",
  62881. "pid": 25,
  62882. "tid": 0,
  62883. "ts": 1539815916918214,
  62884. "dur": 39,
  62885. "args": {
  62886. "name": "tower_1/dropout/dropout/mul-1-TransposeNHWCToNCHW-LayoutOptimizer",
  62887. "op": "Transpose"
  62888. }
  62889. },
  62890. {
  62891. "ph": "X",
  62892. "cat": "Op",
  62893. "name": "Mul",
  62894. "pid": 25,
  62895. "tid": 0,
  62896. "ts": 1539815916918288,
  62897. "dur": 50,
  62898. "args": {
  62899. "name": "tower_1/dropout/dropout/mul",
  62900. "op": "Mul"
  62901. }
  62902. },
  62903. {
  62904. "ph": "X",
  62905. "cat": "Op",
  62906. "name": "FusedBatchNorm",
  62907. "pid": 25,
  62908. "tid": 0,
  62909. "ts": 1539815916918402,
  62910. "dur": 95,
  62911. "args": {
  62912. "name": "tower_1/batch_normalization_1/FusedBatchNorm",
  62913. "op": "FusedBatchNorm"
  62914. }
  62915. },
  62916. {
  62917. "ph": "X",
  62918. "cat": "Op",
  62919. "name": "Sub",
  62920. "pid": 25,
  62921. "tid": 0,
  62922. "ts": 1539815916918500,
  62923. "dur": 4,
  62924. "args": {
  62925. "name": "tower_1/batch_normalization_1/AssignMovingAvg/sub_1",
  62926. "op": "Sub"
  62927. }
  62928. },
  62929. {
  62930. "ph": "X",
  62931. "cat": "Op",
  62932. "name": "Sub",
  62933. "pid": 25,
  62934. "tid": 0,
  62935. "ts": 1539815916918507,
  62936. "dur": 3,
  62937. "args": {
  62938. "name": "tower_1/batch_normalization_1/AssignMovingAvg_1/sub_1",
  62939. "op": "Sub"
  62940. }
  62941. },
  62942. {
  62943. "ph": "X",
  62944. "cat": "Op",
  62945. "name": "Conv2D",
  62946. "pid": 25,
  62947. "tid": 0,
  62948. "ts": 1539815916918526,
  62949. "dur": 9,
  62950. "args": {
  62951. "name": "tower_1/conv2d_1/Conv2D",
  62952. "op": "Conv2D"
  62953. }
  62954. },
  62955. {
  62956. "ph": "X",
  62957. "cat": "Op",
  62958. "name": "Conv2D",
  62959. "pid": 25,
  62960. "tid": 0,
  62961. "ts": 1539815916918586,
  62962. "dur": 2140,
  62963. "args": {
  62964. "name": "tower_1/conv2d_1/Conv2D",
  62965. "op": "Conv2D"
  62966. }
  62967. },
  62968. {
  62969. "ph": "X",
  62970. "cat": "Op",
  62971. "name": "Conv2D",
  62972. "pid": 25,
  62973. "tid": 0,
  62974. "ts": 1539815916920781,
  62975. "dur": 2139,
  62976. "args": {
  62977. "name": "tower_1/conv2d_1/Conv2D",
  62978. "op": "Conv2D"
  62979. }
  62980. },
  62981. {
  62982. "ph": "X",
  62983. "cat": "Op",
  62984. "name": "Conv2D",
  62985. "pid": 25,
  62986. "tid": 0,
  62987. "ts": 1539815916922980,
  62988. "dur": 4,
  62989. "args": {
  62990. "name": "tower_1/conv2d_1/Conv2D",
  62991. "op": "Conv2D"
  62992. }
  62993. },
  62994. {
  62995. "ph": "X",
  62996. "cat": "Op",
  62997. "name": "Conv2D",
  62998. "pid": 25,
  62999. "tid": 0,
  63000. "ts": 1539815916922998,
  63001. "dur": 1931,
  63002. "args": {
  63003. "name": "tower_1/conv2d_1/Conv2D",
  63004. "op": "Conv2D"
  63005. }
  63006. },
  63007. {
  63008. "ph": "X",
  63009. "cat": "Op",
  63010. "name": "Conv2D",
  63011. "pid": 25,
  63012. "tid": 0,
  63013. "ts": 1539815916924984,
  63014. "dur": 4,
  63015. "args": {
  63016. "name": "tower_1/conv2d_1/Conv2D",
  63017. "op": "Conv2D"
  63018. }
  63019. },
  63020. {
  63021. "ph": "X",
  63022. "cat": "Op",
  63023. "name": "Conv2D",
  63024. "pid": 25,
  63025. "tid": 0,
  63026. "ts": 1539815916924998,
  63027. "dur": 1926,
  63028. "args": {
  63029. "name": "tower_1/conv2d_1/Conv2D",
  63030. "op": "Conv2D"
  63031. }
  63032. },
  63033. {
  63034. "ph": "X",
  63035. "cat": "Op",
  63036. "name": "Conv2D",
  63037. "pid": 25,
  63038. "tid": 0,
  63039. "ts": 1539815916926973,
  63040. "dur": 601,
  63041. "args": {
  63042. "name": "tower_1/conv2d_1/Conv2D",
  63043. "op": "Conv2D"
  63044. }
  63045. },
  63046. {
  63047. "ph": "X",
  63048. "cat": "Op",
  63049. "name": "Conv2D",
  63050. "pid": 25,
  63051. "tid": 0,
  63052. "ts": 1539815916927585,
  63053. "dur": 1970,
  63054. "args": {
  63055. "name": "tower_1/conv2d_1/Conv2D",
  63056. "op": "Conv2D"
  63057. }
  63058. },
  63059. {
  63060. "ph": "X",
  63061. "cat": "Op",
  63062. "name": "Conv2D",
  63063. "pid": 25,
  63064. "tid": 0,
  63065. "ts": 1539815916929603,
  63066. "dur": 595,
  63067. "args": {
  63068. "name": "tower_1/conv2d_1/Conv2D",
  63069. "op": "Conv2D"
  63070. }
  63071. },
  63072. {
  63073. "ph": "X",
  63074. "cat": "Op",
  63075. "name": "Conv2D",
  63076. "pid": 25,
  63077. "tid": 0,
  63078. "ts": 1539815916930202,
  63079. "dur": 1972,
  63080. "args": {
  63081. "name": "tower_1/conv2d_1/Conv2D",
  63082. "op": "Conv2D"
  63083. }
  63084. },
  63085. {
  63086. "ph": "X",
  63087. "cat": "Op",
  63088. "name": "Conv2D",
  63089. "pid": 25,
  63090. "tid": 0,
  63091. "ts": 1539815916932250,
  63092. "dur": 16,
  63093. "args": {
  63094. "name": "tower_1/conv2d_1/Conv2D",
  63095. "op": "Conv2D"
  63096. }
  63097. },
  63098. {
  63099. "ph": "X",
  63100. "cat": "Op",
  63101. "name": "Conv2D",
  63102. "pid": 25,
  63103. "tid": 0,
  63104. "ts": 1539815916932271,
  63105. "dur": 66,
  63106. "args": {
  63107. "name": "tower_1/conv2d_1/Conv2D",
  63108. "op": "Conv2D"
  63109. }
  63110. },
  63111. {
  63112. "ph": "X",
  63113. "cat": "Op",
  63114. "name": "Conv2D",
  63115. "pid": 25,
  63116. "tid": 0,
  63117. "ts": 1539815916932507,
  63118. "dur": 4,
  63119. "args": {
  63120. "name": "tower_1/conv2d_1/Conv2D",
  63121. "op": "Conv2D"
  63122. }
  63123. },
  63124. {
  63125. "ph": "X",
  63126. "cat": "Op",
  63127. "name": "Conv2D",
  63128. "pid": 25,
  63129. "tid": 0,
  63130. "ts": 1539815916932514,
  63131. "dur": 766,
  63132. "args": {
  63133. "name": "tower_1/conv2d_1/Conv2D",
  63134. "op": "Conv2D"
  63135. }
  63136. },
  63137. {
  63138. "ph": "X",
  63139. "cat": "Op",
  63140. "name": "Conv2D",
  63141. "pid": 25,
  63142. "tid": 0,
  63143. "ts": 1539815916933284,
  63144. "dur": 264,
  63145. "args": {
  63146. "name": "tower_1/conv2d_1/Conv2D",
  63147. "op": "Conv2D"
  63148. }
  63149. },
  63150. {
  63151. "ph": "X",
  63152. "cat": "Op",
  63153. "name": "Conv2D",
  63154. "pid": 25,
  63155. "tid": 0,
  63156. "ts": 1539815916933597,
  63157. "dur": 17,
  63158. "args": {
  63159. "name": "tower_1/conv2d_1/Conv2D",
  63160. "op": "Conv2D"
  63161. }
  63162. },
  63163. {
  63164. "ph": "X",
  63165. "cat": "Op",
  63166. "name": "Conv2D",
  63167. "pid": 25,
  63168. "tid": 0,
  63169. "ts": 1539815916933617,
  63170. "dur": 67,
  63171. "args": {
  63172. "name": "tower_1/conv2d_1/Conv2D",
  63173. "op": "Conv2D"
  63174. }
  63175. },
  63176. {
  63177. "ph": "X",
  63178. "cat": "Op",
  63179. "name": "Conv2D",
  63180. "pid": 25,
  63181. "tid": 0,
  63182. "ts": 1539815916933851,
  63183. "dur": 5,
  63184. "args": {
  63185. "name": "tower_1/conv2d_1/Conv2D",
  63186. "op": "Conv2D"
  63187. }
  63188. },
  63189. {
  63190. "ph": "X",
  63191. "cat": "Op",
  63192. "name": "Conv2D",
  63193. "pid": 25,
  63194. "tid": 0,
  63195. "ts": 1539815916933859,
  63196. "dur": 763,
  63197. "args": {
  63198. "name": "tower_1/conv2d_1/Conv2D",
  63199. "op": "Conv2D"
  63200. }
  63201. },
  63202. {
  63203. "ph": "X",
  63204. "cat": "Op",
  63205. "name": "Conv2D",
  63206. "pid": 25,
  63207. "tid": 0,
  63208. "ts": 1539815916934627,
  63209. "dur": 264,
  63210. "args": {
  63211. "name": "tower_1/conv2d_1/Conv2D",
  63212. "op": "Conv2D"
  63213. }
  63214. },
  63215. {
  63216. "ph": "X",
  63217. "cat": "Op",
  63218. "name": "Conv2D",
  63219. "pid": 25,
  63220. "tid": 0,
  63221. "ts": 1539815916934973,
  63222. "dur": 66,
  63223. "args": {
  63224. "name": "tower_1/conv2d_1/Conv2D",
  63225. "op": "Conv2D"
  63226. }
  63227. },
  63228. {
  63229. "ph": "X",
  63230. "cat": "Op",
  63231. "name": "Conv2D",
  63232. "pid": 25,
  63233. "tid": 0,
  63234. "ts": 1539815916936193,
  63235. "dur": 66,
  63236. "args": {
  63237. "name": "tower_1/conv2d_1/Conv2D",
  63238. "op": "Conv2D"
  63239. }
  63240. },
  63241. {
  63242. "ph": "X",
  63243. "cat": "Op",
  63244. "name": "Conv2D",
  63245. "pid": 25,
  63246. "tid": 0,
  63247. "ts": 1539815916937393,
  63248. "dur": 172,
  63249. "args": {
  63250. "name": "tower_1/conv2d_1/Conv2D",
  63251. "op": "Conv2D"
  63252. }
  63253. },
  63254. {
  63255. "ph": "X",
  63256. "cat": "Op",
  63257. "name": "Conv2D",
  63258. "pid": 25,
  63259. "tid": 0,
  63260. "ts": 1539815916937568,
  63261. "dur": 16,
  63262. "args": {
  63263. "name": "tower_1/conv2d_1/Conv2D",
  63264. "op": "Conv2D"
  63265. }
  63266. },
  63267. {
  63268. "ph": "X",
  63269. "cat": "Op",
  63270. "name": "Conv2D",
  63271. "pid": 25,
  63272. "tid": 0,
  63273. "ts": 1539815916937588,
  63274. "dur": 248,
  63275. "args": {
  63276. "name": "tower_1/conv2d_1/Conv2D",
  63277. "op": "Conv2D"
  63278. }
  63279. },
  63280. {
  63281. "ph": "X",
  63282. "cat": "Op",
  63283. "name": "Conv2D",
  63284. "pid": 25,
  63285. "tid": 0,
  63286. "ts": 1539815916937841,
  63287. "dur": 283,
  63288. "args": {
  63289. "name": "tower_1/conv2d_1/Conv2D",
  63290. "op": "Conv2D"
  63291. }
  63292. },
  63293. {
  63294. "ph": "X",
  63295. "cat": "Op",
  63296. "name": "Conv2D",
  63297. "pid": 25,
  63298. "tid": 0,
  63299. "ts": 1539815916938175,
  63300. "dur": 172,
  63301. "args": {
  63302. "name": "tower_1/conv2d_1/Conv2D",
  63303. "op": "Conv2D"
  63304. }
  63305. },
  63306. {
  63307. "ph": "X",
  63308. "cat": "Op",
  63309. "name": "Conv2D",
  63310. "pid": 25,
  63311. "tid": 0,
  63312. "ts": 1539815916938351,
  63313. "dur": 16,
  63314. "args": {
  63315. "name": "tower_1/conv2d_1/Conv2D",
  63316. "op": "Conv2D"
  63317. }
  63318. },
  63319. {
  63320. "ph": "X",
  63321. "cat": "Op",
  63322. "name": "Conv2D",
  63323. "pid": 25,
  63324. "tid": 0,
  63325. "ts": 1539815916938370,
  63326. "dur": 250,
  63327. "args": {
  63328. "name": "tower_1/conv2d_1/Conv2D",
  63329. "op": "Conv2D"
  63330. }
  63331. },
  63332. {
  63333. "ph": "X",
  63334. "cat": "Op",
  63335. "name": "Conv2D",
  63336. "pid": 25,
  63337. "tid": 0,
  63338. "ts": 1539815916938625,
  63339. "dur": 287,
  63340. "args": {
  63341. "name": "tower_1/conv2d_1/Conv2D",
  63342. "op": "Conv2D"
  63343. }
  63344. },
  63345. {
  63346. "ph": "X",
  63347. "cat": "Op",
  63348. "name": "Conv2D",
  63349. "pid": 25,
  63350. "tid": 0,
  63351. "ts": 1539815916938959,
  63352. "dur": 173,
  63353. "args": {
  63354. "name": "tower_1/conv2d_1/Conv2D",
  63355. "op": "Conv2D"
  63356. }
  63357. },
  63358. {
  63359. "ph": "X",
  63360. "cat": "Op",
  63361. "name": "Conv2D",
  63362. "pid": 25,
  63363. "tid": 0,
  63364. "ts": 1539815916939136,
  63365. "dur": 16,
  63366. "args": {
  63367. "name": "tower_1/conv2d_1/Conv2D",
  63368. "op": "Conv2D"
  63369. }
  63370. },
  63371. {
  63372. "ph": "X",
  63373. "cat": "Op",
  63374. "name": "Conv2D",
  63375. "pid": 25,
  63376. "tid": 0,
  63377. "ts": 1539815916939156,
  63378. "dur": 250,
  63379. "args": {
  63380. "name": "tower_1/conv2d_1/Conv2D",
  63381. "op": "Conv2D"
  63382. }
  63383. },
  63384. {
  63385. "ph": "X",
  63386. "cat": "Op",
  63387. "name": "Conv2D",
  63388. "pid": 25,
  63389. "tid": 0,
  63390. "ts": 1539815916939411,
  63391. "dur": 279,
  63392. "args": {
  63393. "name": "tower_1/conv2d_1/Conv2D",
  63394. "op": "Conv2D"
  63395. }
  63396. },
  63397. {
  63398. "ph": "X",
  63399. "cat": "Op",
  63400. "name": "Mul",
  63401. "pid": 25,
  63402. "tid": 0,
  63403. "ts": 1539815916939694,
  63404. "dur": 3,
  63405. "args": {
  63406. "name": "tower_1/batch_normalization_1/AssignMovingAvg/mul",
  63407. "op": "Mul"
  63408. }
  63409. },
  63410. {
  63411. "ph": "X",
  63412. "cat": "Op",
  63413. "name": "Mul",
  63414. "pid": 25,
  63415. "tid": 0,
  63416. "ts": 1539815916939702,
  63417. "dur": 3,
  63418. "args": {
  63419. "name": "tower_1/batch_normalization_1/AssignMovingAvg_1/mul",
  63420. "op": "Mul"
  63421. }
  63422. },
  63423. {
  63424. "ph": "X",
  63425. "cat": "Op",
  63426. "name": "BiasAdd",
  63427. "pid": 25,
  63428. "tid": 0,
  63429. "ts": 1539815916939708,
  63430. "dur": 86,
  63431. "args": {
  63432. "name": "tower_1/conv2d_1/BiasAdd",
  63433. "op": "BiasAdd"
  63434. }
  63435. },
  63436. {
  63437. "ph": "X",
  63438. "cat": "Op",
  63439. "name": "AssignSubVariableOp",
  63440. "pid": 25,
  63441. "tid": 0,
  63442. "ts": 1539815916939802,
  63443. "dur": 4,
  63444. "args": {
  63445. "name": "tower_1/batch_normalization_1/AssignMovingAvg/AssignSubVariableOp",
  63446. "op": "AssignSubVariableOp"
  63447. }
  63448. },
  63449. {
  63450. "ph": "X",
  63451. "cat": "Op",
  63452. "name": "AssignSubVariableOp",
  63453. "pid": 25,
  63454. "tid": 0,
  63455. "ts": 1539815916939819,
  63456. "dur": 4,
  63457. "args": {
  63458. "name": "tower_1/batch_normalization_1/AssignMovingAvg_1/AssignSubVariableOp",
  63459. "op": "AssignSubVariableOp"
  63460. }
  63461. },
  63462. {
  63463. "ph": "X",
  63464. "cat": "Op",
  63465. "name": "Elu",
  63466. "pid": 25,
  63467. "tid": 0,
  63468. "ts": 1539815916939828,
  63469. "dur": 69,
  63470. "args": {
  63471. "name": "tower_1/conv2d_1/Elu",
  63472. "op": "Elu"
  63473. }
  63474. },
  63475. {
  63476. "ph": "X",
  63477. "cat": "Op",
  63478. "name": "MaxPool",
  63479. "pid": 25,
  63480. "tid": 0,
  63481. "ts": 1539815916939900,
  63482. "dur": 57,
  63483. "args": {
  63484. "name": "tower_1/max_pooling2d_1/MaxPool",
  63485. "op": "MaxPool"
  63486. }
  63487. },
  63488. {
  63489. "ph": "X",
  63490. "cat": "Op",
  63491. "name": "Mul",
  63492. "pid": 25,
  63493. "tid": 0,
  63494. "ts": 1539815916939961,
  63495. "dur": 16,
  63496. "args": {
  63497. "name": "tower_1/dropout_1/dropout/div",
  63498. "op": "Mul"
  63499. }
  63500. },
  63501. {
  63502. "ph": "X",
  63503. "cat": "Op",
  63504. "name": "RandomUniform",
  63505. "pid": 25,
  63506. "tid": 0,
  63507. "ts": 1539815916939980,
  63508. "dur": 15,
  63509. "args": {
  63510. "name": "tower_1/dropout_1/dropout/random_uniform/RandomUniform",
  63511. "op": "RandomUniform"
  63512. }
  63513. },
  63514. {
  63515. "ph": "X",
  63516. "cat": "Op",
  63517. "name": "Add",
  63518. "pid": 25,
  63519. "tid": 0,
  63520. "ts": 1539815916940000,
  63521. "dur": 16,
  63522. "args": {
  63523. "name": "tower_1/dropout_1/dropout/add",
  63524. "op": "Add"
  63525. }
  63526. },
  63527. {
  63528. "ph": "X",
  63529. "cat": "Op",
  63530. "name": "Floor",
  63531. "pid": 25,
  63532. "tid": 0,
  63533. "ts": 1539815916940020,
  63534. "dur": 14,
  63535. "args": {
  63536. "name": "tower_1/dropout_1/dropout/Floor",
  63537. "op": "Floor"
  63538. }
  63539. },
  63540. {
  63541. "ph": "X",
  63542. "cat": "Op",
  63543. "name": "Transpose",
  63544. "pid": 25,
  63545. "tid": 0,
  63546. "ts": 1539815916940038,
  63547. "dur": 24,
  63548. "args": {
  63549. "name": "tower_1/dropout_1/dropout/mul-1-TransposeNHWCToNCHW-LayoutOptimizer",
  63550. "op": "Transpose"
  63551. }
  63552. },
  63553. {
  63554. "ph": "X",
  63555. "cat": "Op",
  63556. "name": "Mul",
  63557. "pid": 25,
  63558. "tid": 0,
  63559. "ts": 1539815916940065,
  63560. "dur": 26,
  63561. "args": {
  63562. "name": "tower_1/dropout_1/dropout/mul",
  63563. "op": "Mul"
  63564. }
  63565. },
  63566. {
  63567. "ph": "X",
  63568. "cat": "Op",
  63569. "name": "FusedBatchNorm",
  63570. "pid": 25,
  63571. "tid": 0,
  63572. "ts": 1539815916940105,
  63573. "dur": 49,
  63574. "args": {
  63575. "name": "tower_1/batch_normalization_2/FusedBatchNorm",
  63576. "op": "FusedBatchNorm"
  63577. }
  63578. },
  63579. {
  63580. "ph": "X",
  63581. "cat": "Op",
  63582. "name": "Sub",
  63583. "pid": 25,
  63584. "tid": 0,
  63585. "ts": 1539815916940157,
  63586. "dur": 4,
  63587. "args": {
  63588. "name": "tower_1/batch_normalization_2/AssignMovingAvg/sub_1",
  63589. "op": "Sub"
  63590. }
  63591. },
  63592. {
  63593. "ph": "X",
  63594. "cat": "Op",
  63595. "name": "Sub",
  63596. "pid": 25,
  63597. "tid": 0,
  63598. "ts": 1539815916940164,
  63599. "dur": 4,
  63600. "args": {
  63601. "name": "tower_1/batch_normalization_2/AssignMovingAvg_1/sub_1",
  63602. "op": "Sub"
  63603. }
  63604. },
  63605. {
  63606. "ph": "X",
  63607. "cat": "Op",
  63608. "name": "Conv2D",
  63609. "pid": 25,
  63610. "tid": 0,
  63611. "ts": 1539815916940172,
  63612. "dur": 22,
  63613. "args": {
  63614. "name": "tower_1/conv2d_2/Conv2D",
  63615. "op": "Conv2D"
  63616. }
  63617. },
  63618. {
  63619. "ph": "X",
  63620. "cat": "Op",
  63621. "name": "Conv2D",
  63622. "pid": 25,
  63623. "tid": 0,
  63624. "ts": 1539815916940201,
  63625. "dur": 2272,
  63626. "args": {
  63627. "name": "tower_1/conv2d_2/Conv2D",
  63628. "op": "Conv2D"
  63629. }
  63630. },
  63631. {
  63632. "ph": "X",
  63633. "cat": "Op",
  63634. "name": "Conv2D",
  63635. "pid": 25,
  63636. "tid": 0,
  63637. "ts": 1539815916942522,
  63638. "dur": 2266,
  63639. "args": {
  63640. "name": "tower_1/conv2d_2/Conv2D",
  63641. "op": "Conv2D"
  63642. }
  63643. },
  63644. {
  63645. "ph": "X",
  63646. "cat": "Op",
  63647. "name": "Conv2D",
  63648. "pid": 25,
  63649. "tid": 0,
  63650. "ts": 1539815916944847,
  63651. "dur": 4,
  63652. "args": {
  63653. "name": "tower_1/conv2d_2/Conv2D",
  63654. "op": "Conv2D"
  63655. }
  63656. },
  63657. {
  63658. "ph": "X",
  63659. "cat": "Op",
  63660. "name": "Conv2D",
  63661. "pid": 25,
  63662. "tid": 0,
  63663. "ts": 1539815916944863,
  63664. "dur": 1908,
  63665. "args": {
  63666. "name": "tower_1/conv2d_2/Conv2D",
  63667. "op": "Conv2D"
  63668. }
  63669. },
  63670. {
  63671. "ph": "X",
  63672. "cat": "Op",
  63673. "name": "Conv2D",
  63674. "pid": 25,
  63675. "tid": 0,
  63676. "ts": 1539815916946848,
  63677. "dur": 4,
  63678. "args": {
  63679. "name": "tower_1/conv2d_2/Conv2D",
  63680. "op": "Conv2D"
  63681. }
  63682. },
  63683. {
  63684. "ph": "X",
  63685. "cat": "Op",
  63686. "name": "Conv2D",
  63687. "pid": 25,
  63688. "tid": 0,
  63689. "ts": 1539815916946862,
  63690. "dur": 1908,
  63691. "args": {
  63692. "name": "tower_1/conv2d_2/Conv2D",
  63693. "op": "Conv2D"
  63694. }
  63695. },
  63696. {
  63697. "ph": "X",
  63698. "cat": "Op",
  63699. "name": "Conv2D",
  63700. "pid": 25,
  63701. "tid": 0,
  63702. "ts": 1539815916948820,
  63703. "dur": 294,
  63704. "args": {
  63705. "name": "tower_1/conv2d_2/Conv2D",
  63706. "op": "Conv2D"
  63707. }
  63708. },
  63709. {
  63710. "ph": "X",
  63711. "cat": "Op",
  63712. "name": "Conv2D",
  63713. "pid": 25,
  63714. "tid": 0,
  63715. "ts": 1539815916949125,
  63716. "dur": 1806,
  63717. "args": {
  63718. "name": "tower_1/conv2d_2/Conv2D",
  63719. "op": "Conv2D"
  63720. }
  63721. },
  63722. {
  63723. "ph": "X",
  63724. "cat": "Op",
  63725. "name": "Conv2D",
  63726. "pid": 25,
  63727. "tid": 0,
  63728. "ts": 1539815916950983,
  63729. "dur": 299,
  63730. "args": {
  63731. "name": "tower_1/conv2d_2/Conv2D",
  63732. "op": "Conv2D"
  63733. }
  63734. },
  63735. {
  63736. "ph": "X",
  63737. "cat": "Op",
  63738. "name": "Conv2D",
  63739. "pid": 25,
  63740. "tid": 0,
  63741. "ts": 1539815916951286,
  63742. "dur": 1808,
  63743. "args": {
  63744. "name": "tower_1/conv2d_2/Conv2D",
  63745. "op": "Conv2D"
  63746. }
  63747. },
  63748. {
  63749. "ph": "X",
  63750. "cat": "Op",
  63751. "name": "Conv2D",
  63752. "pid": 25,
  63753. "tid": 0,
  63754. "ts": 1539815916953166,
  63755. "dur": 57,
  63756. "args": {
  63757. "name": "tower_1/conv2d_2/Conv2D",
  63758. "op": "Conv2D"
  63759. }
  63760. },
  63761. {
  63762. "ph": "X",
  63763. "cat": "Op",
  63764. "name": "Conv2D",
  63765. "pid": 25,
  63766. "tid": 0,
  63767. "ts": 1539815916953303,
  63768. "dur": 64,
  63769. "args": {
  63770. "name": "tower_1/conv2d_2/Conv2D",
  63771. "op": "Conv2D"
  63772. }
  63773. },
  63774. {
  63775. "ph": "X",
  63776. "cat": "Op",
  63777. "name": "Conv2D",
  63778. "pid": 25,
  63779. "tid": 0,
  63780. "ts": 1539815916953372,
  63781. "dur": 3,
  63782. "args": {
  63783. "name": "tower_1/conv2d_2/Conv2D",
  63784. "op": "Conv2D"
  63785. }
  63786. },
  63787. {
  63788. "ph": "X",
  63789. "cat": "Op",
  63790. "name": "Conv2D",
  63791. "pid": 25,
  63792. "tid": 0,
  63793. "ts": 1539815916953379,
  63794. "dur": 789,
  63795. "args": {
  63796. "name": "tower_1/conv2d_2/Conv2D",
  63797. "op": "Conv2D"
  63798. }
  63799. },
  63800. {
  63801. "ph": "X",
  63802. "cat": "Op",
  63803. "name": "Conv2D",
  63804. "pid": 25,
  63805. "tid": 0,
  63806. "ts": 1539815916954172,
  63807. "dur": 143,
  63808. "args": {
  63809. "name": "tower_1/conv2d_2/Conv2D",
  63810. "op": "Conv2D"
  63811. }
  63812. },
  63813. {
  63814. "ph": "X",
  63815. "cat": "Op",
  63816. "name": "Conv2D",
  63817. "pid": 25,
  63818. "tid": 0,
  63819. "ts": 1539815916954363,
  63820. "dur": 57,
  63821. "args": {
  63822. "name": "tower_1/conv2d_2/Conv2D",
  63823. "op": "Conv2D"
  63824. }
  63825. },
  63826. {
  63827. "ph": "X",
  63828. "cat": "Op",
  63829. "name": "Conv2D",
  63830. "pid": 25,
  63831. "tid": 0,
  63832. "ts": 1539815916954500,
  63833. "dur": 64,
  63834. "args": {
  63835. "name": "tower_1/conv2d_2/Conv2D",
  63836. "op": "Conv2D"
  63837. }
  63838. },
  63839. {
  63840. "ph": "X",
  63841. "cat": "Op",
  63842. "name": "Conv2D",
  63843. "pid": 25,
  63844. "tid": 0,
  63845. "ts": 1539815916954569,
  63846. "dur": 3,
  63847. "args": {
  63848. "name": "tower_1/conv2d_2/Conv2D",
  63849. "op": "Conv2D"
  63850. }
  63851. },
  63852. {
  63853. "ph": "X",
  63854. "cat": "Op",
  63855. "name": "Conv2D",
  63856. "pid": 25,
  63857. "tid": 0,
  63858. "ts": 1539815916954576,
  63859. "dur": 785,
  63860. "args": {
  63861. "name": "tower_1/conv2d_2/Conv2D",
  63862. "op": "Conv2D"
  63863. }
  63864. },
  63865. {
  63866. "ph": "X",
  63867. "cat": "Op",
  63868. "name": "Conv2D",
  63869. "pid": 25,
  63870. "tid": 0,
  63871. "ts": 1539815916955366,
  63872. "dur": 142,
  63873. "args": {
  63874. "name": "tower_1/conv2d_2/Conv2D",
  63875. "op": "Conv2D"
  63876. }
  63877. },
  63878. {
  63879. "ph": "X",
  63880. "cat": "Op",
  63881. "name": "Conv2D",
  63882. "pid": 25,
  63883. "tid": 0,
  63884. "ts": 1539815916955588,
  63885. "dur": 230,
  63886. "args": {
  63887. "name": "tower_1/conv2d_2/Conv2D",
  63888. "op": "Conv2D"
  63889. }
  63890. },
  63891. {
  63892. "ph": "X",
  63893. "cat": "Op",
  63894. "name": "Conv2D",
  63895. "pid": 25,
  63896. "tid": 0,
  63897. "ts": 1539815916958916,
  63898. "dur": 231,
  63899. "args": {
  63900. "name": "tower_1/conv2d_2/Conv2D",
  63901. "op": "Conv2D"
  63902. }
  63903. },
  63904. {
  63905. "ph": "X",
  63906. "cat": "Op",
  63907. "name": "Conv2D",
  63908. "pid": 25,
  63909. "tid": 0,
  63910. "ts": 1539815916962230,
  63911. "dur": 283,
  63912. "args": {
  63913. "name": "tower_1/conv2d_2/Conv2D",
  63914. "op": "Conv2D"
  63915. }
  63916. },
  63917. {
  63918. "ph": "X",
  63919. "cat": "Op",
  63920. "name": "Conv2D",
  63921. "pid": 25,
  63922. "tid": 0,
  63923. "ts": 1539815916962518,
  63924. "dur": 50,
  63925. "args": {
  63926. "name": "tower_1/conv2d_2/Conv2D",
  63927. "op": "Conv2D"
  63928. }
  63929. },
  63930. {
  63931. "ph": "X",
  63932. "cat": "Op",
  63933. "name": "Conv2D",
  63934. "pid": 25,
  63935. "tid": 0,
  63936. "ts": 1539815916962573,
  63937. "dur": 248,
  63938. "args": {
  63939. "name": "tower_1/conv2d_2/Conv2D",
  63940. "op": "Conv2D"
  63941. }
  63942. },
  63943. {
  63944. "ph": "X",
  63945. "cat": "Op",
  63946. "name": "Conv2D",
  63947. "pid": 25,
  63948. "tid": 0,
  63949. "ts": 1539815916962825,
  63950. "dur": 438,
  63951. "args": {
  63952. "name": "tower_1/conv2d_2/Conv2D",
  63953. "op": "Conv2D"
  63954. }
  63955. },
  63956. {
  63957. "ph": "X",
  63958. "cat": "Op",
  63959. "name": "Conv2D",
  63960. "pid": 25,
  63961. "tid": 0,
  63962. "ts": 1539815916963312,
  63963. "dur": 283,
  63964. "args": {
  63965. "name": "tower_1/conv2d_2/Conv2D",
  63966. "op": "Conv2D"
  63967. }
  63968. },
  63969. {
  63970. "ph": "X",
  63971. "cat": "Op",
  63972. "name": "Conv2D",
  63973. "pid": 25,
  63974. "tid": 0,
  63975. "ts": 1539815916963599,
  63976. "dur": 52,
  63977. "args": {
  63978. "name": "tower_1/conv2d_2/Conv2D",
  63979. "op": "Conv2D"
  63980. }
  63981. },
  63982. {
  63983. "ph": "X",
  63984. "cat": "Op",
  63985. "name": "Conv2D",
  63986. "pid": 25,
  63987. "tid": 0,
  63988. "ts": 1539815916963654,
  63989. "dur": 248,
  63990. "args": {
  63991. "name": "tower_1/conv2d_2/Conv2D",
  63992. "op": "Conv2D"
  63993. }
  63994. },
  63995. {
  63996. "ph": "X",
  63997. "cat": "Op",
  63998. "name": "Conv2D",
  63999. "pid": 25,
  64000. "tid": 0,
  64001. "ts": 1539815916963907,
  64002. "dur": 437,
  64003. "args": {
  64004. "name": "tower_1/conv2d_2/Conv2D",
  64005. "op": "Conv2D"
  64006. }
  64007. },
  64008. {
  64009. "ph": "X",
  64010. "cat": "Op",
  64011. "name": "Conv2D",
  64012. "pid": 25,
  64013. "tid": 0,
  64014. "ts": 1539815916964389,
  64015. "dur": 283,
  64016. "args": {
  64017. "name": "tower_1/conv2d_2/Conv2D",
  64018. "op": "Conv2D"
  64019. }
  64020. },
  64021. {
  64022. "ph": "X",
  64023. "cat": "Op",
  64024. "name": "Conv2D",
  64025. "pid": 25,
  64026. "tid": 0,
  64027. "ts": 1539815916964677,
  64028. "dur": 51,
  64029. "args": {
  64030. "name": "tower_1/conv2d_2/Conv2D",
  64031. "op": "Conv2D"
  64032. }
  64033. },
  64034. {
  64035. "ph": "X",
  64036. "cat": "Op",
  64037. "name": "Conv2D",
  64038. "pid": 25,
  64039. "tid": 0,
  64040. "ts": 1539815916964731,
  64041. "dur": 239,
  64042. "args": {
  64043. "name": "tower_1/conv2d_2/Conv2D",
  64044. "op": "Conv2D"
  64045. }
  64046. },
  64047. {
  64048. "ph": "X",
  64049. "cat": "Op",
  64050. "name": "Conv2D",
  64051. "pid": 25,
  64052. "tid": 0,
  64053. "ts": 1539815916964974,
  64054. "dur": 438,
  64055. "args": {
  64056. "name": "tower_1/conv2d_2/Conv2D",
  64057. "op": "Conv2D"
  64058. }
  64059. },
  64060. {
  64061. "ph": "X",
  64062. "cat": "Op",
  64063. "name": "Mul",
  64064. "pid": 25,
  64065. "tid": 0,
  64066. "ts": 1539815916965415,
  64067. "dur": 4,
  64068. "args": {
  64069. "name": "tower_1/batch_normalization_2/AssignMovingAvg/mul",
  64070. "op": "Mul"
  64071. }
  64072. },
  64073. {
  64074. "ph": "X",
  64075. "cat": "Op",
  64076. "name": "Mul",
  64077. "pid": 25,
  64078. "tid": 0,
  64079. "ts": 1539815916965422,
  64080. "dur": 3,
  64081. "args": {
  64082. "name": "tower_1/batch_normalization_2/AssignMovingAvg_1/mul",
  64083. "op": "Mul"
  64084. }
  64085. },
  64086. {
  64087. "ph": "X",
  64088. "cat": "Op",
  64089. "name": "BiasAdd",
  64090. "pid": 25,
  64091. "tid": 0,
  64092. "ts": 1539815916965428,
  64093. "dur": 45,
  64094. "args": {
  64095. "name": "tower_1/conv2d_2/BiasAdd",
  64096. "op": "BiasAdd"
  64097. }
  64098. },
  64099. {
  64100. "ph": "X",
  64101. "cat": "Op",
  64102. "name": "AssignSubVariableOp",
  64103. "pid": 25,
  64104. "tid": 0,
  64105. "ts": 1539815916965482,
  64106. "dur": 4,
  64107. "args": {
  64108. "name": "tower_1/batch_normalization_2/AssignMovingAvg/AssignSubVariableOp",
  64109. "op": "AssignSubVariableOp"
  64110. }
  64111. },
  64112. {
  64113. "ph": "X",
  64114. "cat": "Op",
  64115. "name": "AssignSubVariableOp",
  64116. "pid": 25,
  64117. "tid": 0,
  64118. "ts": 1539815916965494,
  64119. "dur": 3,
  64120. "args": {
  64121. "name": "tower_1/batch_normalization_2/AssignMovingAvg_1/AssignSubVariableOp",
  64122. "op": "AssignSubVariableOp"
  64123. }
  64124. },
  64125. {
  64126. "ph": "X",
  64127. "cat": "Op",
  64128. "name": "Elu",
  64129. "pid": 25,
  64130. "tid": 0,
  64131. "ts": 1539815916965501,
  64132. "dur": 37,
  64133. "args": {
  64134. "name": "tower_1/conv2d_2/Elu",
  64135. "op": "Elu"
  64136. }
  64137. },
  64138. {
  64139. "ph": "X",
  64140. "cat": "Op",
  64141. "name": "MaxPool",
  64142. "pid": 25,
  64143. "tid": 0,
  64144. "ts": 1539815916965542,
  64145. "dur": 32,
  64146. "args": {
  64147. "name": "tower_1/max_pooling2d_2/MaxPool",
  64148. "op": "MaxPool"
  64149. }
  64150. },
  64151. {
  64152. "ph": "X",
  64153. "cat": "Op",
  64154. "name": "Mul",
  64155. "pid": 25,
  64156. "tid": 0,
  64157. "ts": 1539815916965578,
  64158. "dur": 5,
  64159. "args": {
  64160. "name": "tower_1/dropout_2/dropout/div",
  64161. "op": "Mul"
  64162. }
  64163. },
  64164. {
  64165. "ph": "X",
  64166. "cat": "Op",
  64167. "name": "RandomUniform",
  64168. "pid": 25,
  64169. "tid": 0,
  64170. "ts": 1539815916965587,
  64171. "dur": 10,
  64172. "args": {
  64173. "name": "tower_1/dropout_2/dropout/random_uniform/RandomUniform",
  64174. "op": "RandomUniform"
  64175. }
  64176. },
  64177. {
  64178. "ph": "X",
  64179. "cat": "Op",
  64180. "name": "Add",
  64181. "pid": 25,
  64182. "tid": 0,
  64183. "ts": 1539815916965601,
  64184. "dur": 5,
  64185. "args": {
  64186. "name": "tower_1/dropout_2/dropout/add",
  64187. "op": "Add"
  64188. }
  64189. },
  64190. {
  64191. "ph": "X",
  64192. "cat": "Op",
  64193. "name": "Floor",
  64194. "pid": 25,
  64195. "tid": 0,
  64196. "ts": 1539815916965611,
  64197. "dur": 5,
  64198. "args": {
  64199. "name": "tower_1/dropout_2/dropout/Floor",
  64200. "op": "Floor"
  64201. }
  64202. },
  64203. {
  64204. "ph": "X",
  64205. "cat": "Op",
  64206. "name": "Transpose",
  64207. "pid": 25,
  64208. "tid": 0,
  64209. "ts": 1539815916965620,
  64210. "dur": 11,
  64211. "args": {
  64212. "name": "tower_1/dropout_2/dropout/mul-1-TransposeNHWCToNCHW-LayoutOptimizer",
  64213. "op": "Transpose"
  64214. }
  64215. },
  64216. {
  64217. "ph": "X",
  64218. "cat": "Op",
  64219. "name": "Mul",
  64220. "pid": 25,
  64221. "tid": 0,
  64222. "ts": 1539815916965634,
  64223. "dur": 9,
  64224. "args": {
  64225. "name": "tower_1/dropout_2/dropout/mul",
  64226. "op": "Mul"
  64227. }
  64228. },
  64229. {
  64230. "ph": "X",
  64231. "cat": "Op",
  64232. "name": "Transpose",
  64233. "pid": 25,
  64234. "tid": 0,
  64235. "ts": 1539815916965648,
  64236. "dur": 10,
  64237. "args": {
  64238. "name": "tower_1/dropout_2/dropout/mul-0-0-TransposeNCHWToNHWC-LayoutOptimizer",
  64239. "op": "Transpose"
  64240. }
  64241. },
  64242. {
  64243. "ph": "X",
  64244. "cat": "Op",
  64245. "name": "MatMul",
  64246. "pid": 25,
  64247. "tid": 0,
  64248. "ts": 1539815916967991,
  64249. "dur": 81,
  64250. "args": {
  64251. "name": "tower_1/dense/MatMul",
  64252. "op": "MatMul"
  64253. }
  64254. },
  64255. {
  64256. "ph": "X",
  64257. "cat": "Op",
  64258. "name": "BiasAdd",
  64259. "pid": 25,
  64260. "tid": 0,
  64261. "ts": 1539815916968077,
  64262. "dur": 4,
  64263. "args": {
  64264. "name": "tower_1/dense/BiasAdd",
  64265. "op": "BiasAdd"
  64266. }
  64267. },
  64268. {
  64269. "ph": "X",
  64270. "cat": "Op",
  64271. "name": "Elu",
  64272. "pid": 25,
  64273. "tid": 0,
  64274. "ts": 1539815916968086,
  64275. "dur": 4,
  64276. "args": {
  64277. "name": "tower_1/activation/Elu",
  64278. "op": "Elu"
  64279. }
  64280. },
  64281. {
  64282. "ph": "X",
  64283. "cat": "Op",
  64284. "name": "Mul",
  64285. "pid": 25,
  64286. "tid": 0,
  64287. "ts": 1539815916968103,
  64288. "dur": 5,
  64289. "args": {
  64290. "name": "tower_1/dropout_3/dropout/div",
  64291. "op": "Mul"
  64292. }
  64293. },
  64294. {
  64295. "ph": "X",
  64296. "cat": "Op",
  64297. "name": "RandomUniform",
  64298. "pid": 25,
  64299. "tid": 0,
  64300. "ts": 1539815916968152,
  64301. "dur": 8,
  64302. "args": {
  64303. "name": "tower_1/dropout_3/dropout/random_uniform/RandomUniform",
  64304. "op": "RandomUniform"
  64305. }
  64306. },
  64307. {
  64308. "ph": "X",
  64309. "cat": "Op",
  64310. "name": "Add",
  64311. "pid": 25,
  64312. "tid": 0,
  64313. "ts": 1539815916968182,
  64314. "dur": 4,
  64315. "args": {
  64316. "name": "tower_1/dropout_3/dropout/add",
  64317. "op": "Add"
  64318. }
  64319. },
  64320. {
  64321. "ph": "X",
  64322. "cat": "Op",
  64323. "name": "Floor",
  64324. "pid": 25,
  64325. "tid": 0,
  64326. "ts": 1539815916968205,
  64327. "dur": 4,
  64328. "args": {
  64329. "name": "tower_1/dropout_3/dropout/Floor",
  64330. "op": "Floor"
  64331. }
  64332. },
  64333. {
  64334. "ph": "X",
  64335. "cat": "Op",
  64336. "name": "Mul",
  64337. "pid": 25,
  64338. "tid": 0,
  64339. "ts": 1539815916968229,
  64340. "dur": 5,
  64341. "args": {
  64342. "name": "tower_1/dropout_3/dropout/mul",
  64343. "op": "Mul"
  64344. }
  64345. },
  64346. {
  64347. "ph": "X",
  64348. "cat": "Op",
  64349. "name": "MatMul",
  64350. "pid": 25,
  64351. "tid": 0,
  64352. "ts": 1539815916968264,
  64353. "dur": 39,
  64354. "args": {
  64355. "name": "tower_1/dense_1/MatMul",
  64356. "op": "MatMul"
  64357. }
  64358. },
  64359. {
  64360. "ph": "X",
  64361. "cat": "Op",
  64362. "name": "BiasAdd",
  64363. "pid": 25,
  64364. "tid": 0,
  64365. "ts": 1539815916968307,
  64366. "dur": 4,
  64367. "args": {
  64368. "name": "tower_1/dense_1/BiasAdd",
  64369. "op": "BiasAdd"
  64370. }
  64371. },
  64372. {
  64373. "ph": "X",
  64374. "cat": "Op",
  64375. "name": "Softmax",
  64376. "pid": 25,
  64377. "tid": 0,
  64378. "ts": 1539815916971374,
  64379. "dur": 4,
  64380. "args": {
  64381. "name": "tower_1/activation_1/Softmax",
  64382. "op": "Softmax"
  64383. }
  64384. },
  64385. {
  64386. "ph": "X",
  64387. "cat": "Op",
  64388. "name": "Softmax",
  64389. "pid": 25,
  64390. "tid": 0,
  64391. "ts": 1539815916971388,
  64392. "dur": 5,
  64393. "args": {
  64394. "name": "tower_1/activation_1/Softmax",
  64395. "op": "Softmax"
  64396. }
  64397. },
  64398. {
  64399. "ph": "X",
  64400. "cat": "Op",
  64401. "name": "Softmax",
  64402. "pid": 25,
  64403. "tid": 0,
  64404. "ts": 1539815916971400,
  64405. "dur": 5,
  64406. "args": {
  64407. "name": "tower_1/activation_1/Softmax",
  64408. "op": "Softmax"
  64409. }
  64410. },
  64411. {
  64412. "ph": "X",
  64413. "cat": "Op",
  64414. "name": "LessEqual",
  64415. "pid": 25,
  64416. "tid": 0,
  64417. "ts": 1539815916974063,
  64418. "dur": 3,
  64419. "args": {
  64420. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value/Minimum_grad/LessEqual",
  64421. "op": "LessEqual"
  64422. }
  64423. },
  64424. {
  64425. "ph": "X",
  64426. "cat": "Op",
  64427. "name": "Minimum",
  64428. "pid": 25,
  64429. "tid": 0,
  64430. "ts": 1539815916974130,
  64431. "dur": 4,
  64432. "args": {
  64433. "name": "tower_1/loss/activation_1_loss/clip_by_value/Minimum",
  64434. "op": "Minimum"
  64435. }
  64436. },
  64437. {
  64438. "ph": "X",
  64439. "cat": "Op",
  64440. "name": "GreaterEqual",
  64441. "pid": 25,
  64442. "tid": 0,
  64443. "ts": 1539815916975721,
  64444. "dur": 3,
  64445. "args": {
  64446. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value_grad/GreaterEqual",
  64447. "op": "GreaterEqual"
  64448. }
  64449. },
  64450. {
  64451. "ph": "X",
  64452. "cat": "Op",
  64453. "name": "Maximum",
  64454. "pid": 25,
  64455. "tid": 0,
  64456. "ts": 1539815916975797,
  64457. "dur": 4,
  64458. "args": {
  64459. "name": "tower_1/loss/activation_1_loss/clip_by_value",
  64460. "op": "Maximum"
  64461. }
  64462. },
  64463. {
  64464. "ph": "X",
  64465. "cat": "Op",
  64466. "name": "Log",
  64467. "pid": 25,
  64468. "tid": 0,
  64469. "ts": 1539815916975894,
  64470. "dur": 4,
  64471. "args": {
  64472. "name": "tower_1/loss/activation_1_loss/Log",
  64473. "op": "Log"
  64474. }
  64475. },
  64476. {
  64477. "ph": "X",
  64478. "cat": "Op",
  64479. "name": "SparseSoftmaxCrossEntropyWithLogits",
  64480. "pid": 25,
  64481. "tid": 0,
  64482. "ts": 1539815916975950,
  64483. "dur": 5,
  64484. "args": {
  64485. "name": "tower_1/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  64486. "op": "SparseSoftmaxCrossEntropyWithLogits"
  64487. }
  64488. },
  64489. {
  64490. "ph": "X",
  64491. "cat": "Op",
  64492. "name": "SparseSoftmaxCrossEntropyWithLogits",
  64493. "pid": 25,
  64494. "tid": 0,
  64495. "ts": 1539815916975962,
  64496. "dur": 5,
  64497. "args": {
  64498. "name": "tower_1/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  64499. "op": "SparseSoftmaxCrossEntropyWithLogits"
  64500. }
  64501. },
  64502. {
  64503. "ph": "X",
  64504. "cat": "Op",
  64505. "name": "SparseSoftmaxCrossEntropyWithLogits",
  64506. "pid": 25,
  64507. "tid": 0,
  64508. "ts": 1539815916976005,
  64509. "dur": 6,
  64510. "args": {
  64511. "name": "tower_1/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  64512. "op": "SparseSoftmaxCrossEntropyWithLogits"
  64513. }
  64514. },
  64515. {
  64516. "ph": "X",
  64517. "cat": "Op",
  64518. "name": "SparseSoftmaxCrossEntropyWithLogits",
  64519. "pid": 25,
  64520. "tid": 0,
  64521. "ts": 1539815916976019,
  64522. "dur": 10,
  64523. "args": {
  64524. "name": "tower_1/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  64525. "op": "SparseSoftmaxCrossEntropyWithLogits"
  64526. }
  64527. },
  64528. {
  64529. "ph": "X",
  64530. "cat": "Op",
  64531. "name": "SparseSoftmaxCrossEntropyWithLogits",
  64532. "pid": 25,
  64533. "tid": 0,
  64534. "ts": 1539815916976033,
  64535. "dur": 4,
  64536. "args": {
  64537. "name": "tower_1/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  64538. "op": "SparseSoftmaxCrossEntropyWithLogits"
  64539. }
  64540. },
  64541. {
  64542. "ph": "X",
  64543. "cat": "Op",
  64544. "name": "SparseSoftmaxCrossEntropyWithLogits",
  64545. "pid": 25,
  64546. "tid": 0,
  64547. "ts": 1539815916976040,
  64548. "dur": 5,
  64549. "args": {
  64550. "name": "tower_1/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  64551. "op": "SparseSoftmaxCrossEntropyWithLogits"
  64552. }
  64553. },
  64554. {
  64555. "ph": "X",
  64556. "cat": "Op",
  64557. "name": "Mean",
  64558. "pid": 25,
  64559. "tid": 0,
  64560. "ts": 1539815916982185,
  64561. "dur": 5,
  64562. "args": {
  64563. "name": "tower_1/loss/activation_1_loss/Mean",
  64564. "op": "Mean"
  64565. }
  64566. },
  64567. {
  64568. "ph": "X",
  64569. "cat": "Op",
  64570. "name": "Tile",
  64571. "pid": 25,
  64572. "tid": 0,
  64573. "ts": 1539815916983722,
  64574. "dur": 4,
  64575. "args": {
  64576. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/Mean_grad/Tile",
  64577. "op": "Tile"
  64578. }
  64579. },
  64580. {
  64581. "ph": "X",
  64582. "cat": "Op",
  64583. "name": "Cast",
  64584. "pid": 25,
  64585. "tid": 0,
  64586. "ts": 1539815916983897,
  64587. "dur": 4,
  64588. "args": {
  64589. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/Mean_grad/Cast",
  64590. "op": "Cast"
  64591. }
  64592. },
  64593. {
  64594. "ph": "X",
  64595. "cat": "Op",
  64596. "name": "RealDiv",
  64597. "pid": 25,
  64598. "tid": 0,
  64599. "ts": 1539815916985517,
  64600. "dur": 5,
  64601. "args": {
  64602. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/Mean_grad/truediv",
  64603. "op": "RealDiv"
  64604. }
  64605. },
  64606. {
  64607. "ph": "X",
  64608. "cat": "Op",
  64609. "name": "Mul",
  64610. "pid": 25,
  64611. "tid": 0,
  64612. "ts": 1539815916986438,
  64613. "dur": 5,
  64614. "args": {
  64615. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits_grad/mul",
  64616. "op": "Mul"
  64617. }
  64618. },
  64619. {
  64620. "ph": "X",
  64621. "cat": "Op",
  64622. "name": "Reciprocal",
  64623. "pid": 25,
  64624. "tid": 0,
  64625. "ts": 1539815916986499,
  64626. "dur": 4,
  64627. "args": {
  64628. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/Log_grad/Reciprocal",
  64629. "op": "Reciprocal"
  64630. }
  64631. },
  64632. {
  64633. "ph": "X",
  64634. "cat": "Op",
  64635. "name": "Mul",
  64636. "pid": 25,
  64637. "tid": 0,
  64638. "ts": 1539815916986528,
  64639. "dur": 4,
  64640. "args": {
  64641. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/Log_grad/mul",
  64642. "op": "Mul"
  64643. }
  64644. },
  64645. {
  64646. "ph": "X",
  64647. "cat": "Op",
  64648. "name": "Fill",
  64649. "pid": 25,
  64650. "tid": 0,
  64651. "ts": 1539815916986630,
  64652. "dur": 3,
  64653. "args": {
  64654. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value_grad/zeros",
  64655. "op": "Fill"
  64656. }
  64657. },
  64658. {
  64659. "ph": "X",
  64660. "cat": "Op",
  64661. "name": "Select",
  64662. "pid": 25,
  64663. "tid": 0,
  64664. "ts": 1539815916986669,
  64665. "dur": 3,
  64666. "args": {
  64667. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value_grad/Select",
  64668. "op": "Select"
  64669. }
  64670. },
  64671. {
  64672. "ph": "X",
  64673. "cat": "Op",
  64674. "name": "Fill",
  64675. "pid": 25,
  64676. "tid": 0,
  64677. "ts": 1539815916990842,
  64678. "dur": 3,
  64679. "args": {
  64680. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value/Minimum_grad/zeros",
  64681. "op": "Fill"
  64682. }
  64683. },
  64684. {
  64685. "ph": "X",
  64686. "cat": "Op",
  64687. "name": "Select",
  64688. "pid": 25,
  64689. "tid": 0,
  64690. "ts": 1539815916990904,
  64691. "dur": 3,
  64692. "args": {
  64693. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value/Minimum_grad/Select",
  64694. "op": "Select"
  64695. }
  64696. },
  64697. {
  64698. "ph": "X",
  64699. "cat": "Op",
  64700. "name": "Mul",
  64701. "pid": 25,
  64702. "tid": 0,
  64703. "ts": 1539815916991007,
  64704. "dur": 4,
  64705. "args": {
  64706. "name": "tower_1/training/TFOptimizer/gradients/tower_1/activation_1/Softmax_grad/mul",
  64707. "op": "Mul"
  64708. }
  64709. },
  64710. {
  64711. "ph": "X",
  64712. "cat": "Op",
  64713. "name": "Sum",
  64714. "pid": 25,
  64715. "tid": 0,
  64716. "ts": 1539815916991065,
  64717. "dur": 5,
  64718. "args": {
  64719. "name": "tower_1/training/TFOptimizer/gradients/tower_1/activation_1/Softmax_grad/Sum",
  64720. "op": "Sum"
  64721. }
  64722. },
  64723. {
  64724. "ph": "X",
  64725. "cat": "Op",
  64726. "name": "Sub",
  64727. "pid": 25,
  64728. "tid": 0,
  64729. "ts": 1539815916991123,
  64730. "dur": 5,
  64731. "args": {
  64732. "name": "tower_1/training/TFOptimizer/gradients/tower_1/activation_1/Softmax_grad/sub",
  64733. "op": "Sub"
  64734. }
  64735. },
  64736. {
  64737. "ph": "X",
  64738. "cat": "Op",
  64739. "name": "Mul",
  64740. "pid": 25,
  64741. "tid": 0,
  64742. "ts": 1539815916991185,
  64743. "dur": 4,
  64744. "args": {
  64745. "name": "tower_1/training/TFOptimizer/gradients/tower_1/activation_1/Softmax_grad/mul_1",
  64746. "op": "Mul"
  64747. }
  64748. },
  64749. {
  64750. "ph": "X",
  64751. "cat": "Op",
  64752. "name": "BiasAddGrad",
  64753. "pid": 25,
  64754. "tid": 0,
  64755. "ts": 1539815916991290,
  64756. "dur": 7,
  64757. "args": {
  64758. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dense_1/BiasAdd_grad/BiasAddGrad",
  64759. "op": "BiasAddGrad"
  64760. }
  64761. },
  64762. {
  64763. "ph": "X",
  64764. "cat": "Op",
  64765. "name": "BiasAddGrad",
  64766. "pid": 25,
  64767. "tid": 0,
  64768. "ts": 1539815916991332,
  64769. "dur": 6,
  64770. "args": {
  64771. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dense_1/BiasAdd_grad/BiasAddGrad",
  64772. "op": "BiasAddGrad"
  64773. }
  64774. },
  64775. {
  64776. "ph": "X",
  64777. "cat": "Op",
  64778. "name": "BiasAddGrad",
  64779. "pid": 25,
  64780. "tid": 0,
  64781. "ts": 1539815916991346,
  64782. "dur": 4,
  64783. "args": {
  64784. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dense_1/BiasAdd_grad/BiasAddGrad",
  64785. "op": "BiasAddGrad"
  64786. }
  64787. },
  64788. {
  64789. "ph": "X",
  64790. "cat": "Op",
  64791. "name": "MatMul",
  64792. "pid": 25,
  64793. "tid": 0,
  64794. "ts": 1539815916991407,
  64795. "dur": 17,
  64796. "args": {
  64797. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dense_1/MatMul_grad/MatMul",
  64798. "op": "MatMul"
  64799. }
  64800. },
  64801. {
  64802. "ph": "X",
  64803. "cat": "Op",
  64804. "name": "MatMul",
  64805. "pid": 25,
  64806. "tid": 0,
  64807. "ts": 1539815916991457,
  64808. "dur": 40,
  64809. "args": {
  64810. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dense_1/MatMul_grad/MatMul_1",
  64811. "op": "MatMul"
  64812. }
  64813. },
  64814. {
  64815. "ph": "X",
  64816. "cat": "Op",
  64817. "name": "Mul",
  64818. "pid": 25,
  64819. "tid": 0,
  64820. "ts": 1539815916991510,
  64821. "dur": 4,
  64822. "args": {
  64823. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_3/dropout/mul_grad/Mul",
  64824. "op": "Mul"
  64825. }
  64826. },
  64827. {
  64828. "ph": "X",
  64829. "cat": "Op",
  64830. "name": "Mul",
  64831. "pid": 25,
  64832. "tid": 0,
  64833. "ts": 1539815916991544,
  64834. "dur": 3,
  64835. "args": {
  64836. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_3/dropout/div_grad/RealDiv",
  64837. "op": "Mul"
  64838. }
  64839. },
  64840. {
  64841. "ph": "X",
  64842. "cat": "Op",
  64843. "name": "EluGrad",
  64844. "pid": 25,
  64845. "tid": 0,
  64846. "ts": 1539815916991600,
  64847. "dur": 5,
  64848. "args": {
  64849. "name": "tower_1/training/TFOptimizer/gradients/tower_1/activation/Elu_grad/EluGrad",
  64850. "op": "EluGrad"
  64851. }
  64852. },
  64853. {
  64854. "ph": "X",
  64855. "cat": "Op",
  64856. "name": "BiasAddGrad",
  64857. "pid": 25,
  64858. "tid": 0,
  64859. "ts": 1539815916991660,
  64860. "dur": 5,
  64861. "args": {
  64862. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dense/BiasAdd_grad/BiasAddGrad",
  64863. "op": "BiasAddGrad"
  64864. }
  64865. },
  64866. {
  64867. "ph": "X",
  64868. "cat": "Op",
  64869. "name": "BiasAddGrad",
  64870. "pid": 25,
  64871. "tid": 0,
  64872. "ts": 1539815916991698,
  64873. "dur": 5,
  64874. "args": {
  64875. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dense/BiasAdd_grad/BiasAddGrad",
  64876. "op": "BiasAddGrad"
  64877. }
  64878. },
  64879. {
  64880. "ph": "X",
  64881. "cat": "Op",
  64882. "name": "BiasAddGrad",
  64883. "pid": 25,
  64884. "tid": 0,
  64885. "ts": 1539815916991709,
  64886. "dur": 4,
  64887. "args": {
  64888. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dense/BiasAdd_grad/BiasAddGrad",
  64889. "op": "BiasAddGrad"
  64890. }
  64891. },
  64892. {
  64893. "ph": "X",
  64894. "cat": "Op",
  64895. "name": "MatMul",
  64896. "pid": 25,
  64897. "tid": 0,
  64898. "ts": 1539815916991766,
  64899. "dur": 38,
  64900. "args": {
  64901. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dense/MatMul_grad/MatMul",
  64902. "op": "MatMul"
  64903. }
  64904. },
  64905. {
  64906. "ph": "X",
  64907. "cat": "Op",
  64908. "name": "MatMul",
  64909. "pid": 25,
  64910. "tid": 0,
  64911. "ts": 1539815916991811,
  64912. "dur": 43,
  64913. "args": {
  64914. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dense/MatMul_grad/MatMul_1",
  64915. "op": "MatMul"
  64916. }
  64917. },
  64918. {
  64919. "ph": "X",
  64920. "cat": "Op",
  64921. "name": "Mul",
  64922. "pid": 25,
  64923. "tid": 0,
  64924. "ts": 1539815916991922,
  64925. "dur": 13,
  64926. "args": {
  64927. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_2/dropout/mul_grad/Mul",
  64928. "op": "Mul"
  64929. }
  64930. },
  64931. {
  64932. "ph": "X",
  64933. "cat": "Op",
  64934. "name": "Mul",
  64935. "pid": 25,
  64936. "tid": 0,
  64937. "ts": 1539815916991959,
  64938. "dur": 6,
  64939. "args": {
  64940. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_2/dropout/div_grad/RealDiv",
  64941. "op": "Mul"
  64942. }
  64943. },
  64944. {
  64945. "ph": "X",
  64946. "cat": "Op",
  64947. "name": "Transpose",
  64948. "pid": 25,
  64949. "tid": 0,
  64950. "ts": 1539815916992018,
  64951. "dur": 12,
  64952. "args": {
  64953. "name": "tower_1/training/TFOptimizer/gradients/tower_1/max_pooling2d_2/MaxPool_grad/MaxPoolGrad-2-TransposeNHWCToNCHW-LayoutOptimizer",
  64954. "op": "Transpose"
  64955. }
  64956. },
  64957. {
  64958. "ph": "X",
  64959. "cat": "Op",
  64960. "name": "MaxPoolGrad",
  64961. "pid": 25,
  64962. "tid": 0,
  64963. "ts": 1539815916993613,
  64964. "dur": 192,
  64965. "args": {
  64966. "name": "tower_1/training/TFOptimizer/gradients/tower_1/max_pooling2d_2/MaxPool_grad/MaxPoolGrad",
  64967. "op": "MaxPoolGrad"
  64968. }
  64969. },
  64970. {
  64971. "ph": "X",
  64972. "cat": "Op",
  64973. "name": "EluGrad",
  64974. "pid": 25,
  64975. "tid": 0,
  64976. "ts": 1539815916993809,
  64977. "dur": 51,
  64978. "args": {
  64979. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Elu_grad/EluGrad",
  64980. "op": "EluGrad"
  64981. }
  64982. },
  64983. {
  64984. "ph": "X",
  64985. "cat": "Op",
  64986. "name": "BiasAddGrad",
  64987. "pid": 25,
  64988. "tid": 0,
  64989. "ts": 1539815916993872,
  64990. "dur": 36,
  64991. "args": {
  64992. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/BiasAdd_grad/BiasAddGrad",
  64993. "op": "BiasAddGrad"
  64994. }
  64995. },
  64996. {
  64997. "ph": "X",
  64998. "cat": "Op",
  64999. "name": "BiasAddGrad",
  65000. "pid": 25,
  65001. "tid": 0,
  65002. "ts": 1539815916993940,
  65003. "dur": 32,
  65004. "args": {
  65005. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/BiasAdd_grad/BiasAddGrad",
  65006. "op": "BiasAddGrad"
  65007. }
  65008. },
  65009. {
  65010. "ph": "X",
  65011. "cat": "Op",
  65012. "name": "BiasAddGrad",
  65013. "pid": 25,
  65014. "tid": 0,
  65015. "ts": 1539815916993976,
  65016. "dur": 5,
  65017. "args": {
  65018. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/BiasAdd_grad/BiasAddGrad",
  65019. "op": "BiasAddGrad"
  65020. }
  65021. },
  65022. {
  65023. "ph": "X",
  65024. "cat": "Op",
  65025. "name": "BiasAddGrad",
  65026. "pid": 25,
  65027. "tid": 0,
  65028. "ts": 1539815916993986,
  65029. "dur": 5,
  65030. "args": {
  65031. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/BiasAdd_grad/BiasAddGrad",
  65032. "op": "BiasAddGrad"
  65033. }
  65034. },
  65035. {
  65036. "ph": "X",
  65037. "cat": "Op",
  65038. "name": "Conv2DBackpropFilter",
  65039. "pid": 25,
  65040. "tid": 0,
  65041. "ts": 1539815916994143,
  65042. "dur": 4409,
  65043. "args": {
  65044. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  65045. "op": "Conv2DBackpropFilter"
  65046. }
  65047. },
  65048. {
  65049. "ph": "X",
  65050. "cat": "Op",
  65051. "name": "Conv2DBackpropFilter",
  65052. "pid": 25,
  65053. "tid": 0,
  65054. "ts": 1539815916998617,
  65055. "dur": 4412,
  65056. "args": {
  65057. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  65058. "op": "Conv2DBackpropFilter"
  65059. }
  65060. },
  65061. {
  65062. "ph": "X",
  65063. "cat": "Op",
  65064. "name": "Conv2DBackpropFilter",
  65065. "pid": 25,
  65066. "tid": 0,
  65067. "ts": 1539815917003104,
  65068. "dur": 4,
  65069. "args": {
  65070. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  65071. "op": "Conv2DBackpropFilter"
  65072. }
  65073. },
  65074. {
  65075. "ph": "X",
  65076. "cat": "Op",
  65077. "name": "Conv2DBackpropFilter",
  65078. "pid": 25,
  65079. "tid": 0,
  65080. "ts": 1539815917003134,
  65081. "dur": 9,
  65082. "args": {
  65083. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  65084. "op": "Conv2DBackpropFilter"
  65085. }
  65086. },
  65087. {
  65088. "ph": "X",
  65089. "cat": "Op",
  65090. "name": "Conv2DBackpropFilter",
  65091. "pid": 25,
  65092. "tid": 0,
  65093. "ts": 1539815917003148,
  65094. "dur": 4,
  65095. "args": {
  65096. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  65097. "op": "Conv2DBackpropFilter"
  65098. }
  65099. },
  65100. {
  65101. "ph": "X",
  65102. "cat": "Op",
  65103. "name": "Conv2DBackpropFilter",
  65104. "pid": 25,
  65105. "tid": 0,
  65106. "ts": 1539815917003162,
  65107. "dur": 1689,
  65108. "args": {
  65109. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  65110. "op": "Conv2DBackpropFilter"
  65111. }
  65112. },
  65113. {
  65114. "ph": "X",
  65115. "cat": "Op",
  65116. "name": "Conv2DBackpropFilter",
  65117. "pid": 25,
  65118. "tid": 0,
  65119. "ts": 1539815917004914,
  65120. "dur": 4,
  65121. "args": {
  65122. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  65123. "op": "Conv2DBackpropFilter"
  65124. }
  65125. },
  65126. {
  65127. "ph": "X",
  65128. "cat": "Op",
  65129. "name": "Conv2DBackpropFilter",
  65130. "pid": 25,
  65131. "tid": 0,
  65132. "ts": 1539815917004926,
  65133. "dur": 8,
  65134. "args": {
  65135. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  65136. "op": "Conv2DBackpropFilter"
  65137. }
  65138. },
  65139. {
  65140. "ph": "X",
  65141. "cat": "Op",
  65142. "name": "Conv2DBackpropFilter",
  65143. "pid": 25,
  65144. "tid": 0,
  65145. "ts": 1539815917004938,
  65146. "dur": 3,
  65147. "args": {
  65148. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  65149. "op": "Conv2DBackpropFilter"
  65150. }
  65151. },
  65152. {
  65153. "ph": "X",
  65154. "cat": "Op",
  65155. "name": "Conv2DBackpropFilter",
  65156. "pid": 25,
  65157. "tid": 0,
  65158. "ts": 1539815917004944,
  65159. "dur": 1681,
  65160. "args": {
  65161. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  65162. "op": "Conv2DBackpropFilter"
  65163. }
  65164. },
  65165. {
  65166. "ph": "X",
  65167. "cat": "Op",
  65168. "name": "Conv2DBackpropFilter",
  65169. "pid": 25,
  65170. "tid": 0,
  65171. "ts": 1539815917006676,
  65172. "dur": 110,
  65173. "args": {
  65174. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  65175. "op": "Conv2DBackpropFilter"
  65176. }
  65177. },
  65178. {
  65179. "ph": "X",
  65180. "cat": "Op",
  65181. "name": "Conv2DBackpropFilter",
  65182. "pid": 25,
  65183. "tid": 0,
  65184. "ts": 1539815917006871,
  65185. "dur": 136,
  65186. "args": {
  65187. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  65188. "op": "Conv2DBackpropFilter"
  65189. }
  65190. },
  65191. {
  65192. "ph": "X",
  65193. "cat": "Op",
  65194. "name": "Conv2DBackpropFilter",
  65195. "pid": 25,
  65196. "tid": 0,
  65197. "ts": 1539815917007012,
  65198. "dur": 4,
  65199. "args": {
  65200. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  65201. "op": "Conv2DBackpropFilter"
  65202. }
  65203. },
  65204. {
  65205. "ph": "X",
  65206. "cat": "Op",
  65207. "name": "Conv2DBackpropFilter",
  65208. "pid": 25,
  65209. "tid": 0,
  65210. "ts": 1539815917007019,
  65211. "dur": 798,
  65212. "args": {
  65213. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  65214. "op": "Conv2DBackpropFilter"
  65215. }
  65216. },
  65217. {
  65218. "ph": "X",
  65219. "cat": "Op",
  65220. "name": "Conv2DBackpropFilter",
  65221. "pid": 25,
  65222. "tid": 0,
  65223. "ts": 1539815917007823,
  65224. "dur": 75,
  65225. "args": {
  65226. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  65227. "op": "Conv2DBackpropFilter"
  65228. }
  65229. },
  65230. {
  65231. "ph": "X",
  65232. "cat": "Op",
  65233. "name": "Conv2DBackpropFilter",
  65234. "pid": 25,
  65235. "tid": 0,
  65236. "ts": 1539815917007954,
  65237. "dur": 110,
  65238. "args": {
  65239. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  65240. "op": "Conv2DBackpropFilter"
  65241. }
  65242. },
  65243. {
  65244. "ph": "X",
  65245. "cat": "Op",
  65246. "name": "Conv2DBackpropFilter",
  65247. "pid": 25,
  65248. "tid": 0,
  65249. "ts": 1539815917008150,
  65250. "dur": 137,
  65251. "args": {
  65252. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  65253. "op": "Conv2DBackpropFilter"
  65254. }
  65255. },
  65256. {
  65257. "ph": "X",
  65258. "cat": "Op",
  65259. "name": "Conv2DBackpropFilter",
  65260. "pid": 25,
  65261. "tid": 0,
  65262. "ts": 1539815917008292,
  65263. "dur": 4,
  65264. "args": {
  65265. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  65266. "op": "Conv2DBackpropFilter"
  65267. }
  65268. },
  65269. {
  65270. "ph": "X",
  65271. "cat": "Op",
  65272. "name": "Conv2DBackpropFilter",
  65273. "pid": 25,
  65274. "tid": 0,
  65275. "ts": 1539815917008299,
  65276. "dur": 803,
  65277. "args": {
  65278. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  65279. "op": "Conv2DBackpropFilter"
  65280. }
  65281. },
  65282. {
  65283. "ph": "X",
  65284. "cat": "Op",
  65285. "name": "Conv2DBackpropFilter",
  65286. "pid": 25,
  65287. "tid": 0,
  65288. "ts": 1539815917009107,
  65289. "dur": 75,
  65290. "args": {
  65291. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  65292. "op": "Conv2DBackpropFilter"
  65293. }
  65294. },
  65295. {
  65296. "ph": "X",
  65297. "cat": "Op",
  65298. "name": "Conv2DBackpropFilter",
  65299. "pid": 25,
  65300. "tid": 0,
  65301. "ts": 1539815917009244,
  65302. "dur": 4,
  65303. "args": {
  65304. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  65305. "op": "Conv2DBackpropFilter"
  65306. }
  65307. },
  65308. {
  65309. "ph": "X",
  65310. "cat": "Op",
  65311. "name": "Conv2DBackpropFilter",
  65312. "pid": 25,
  65313. "tid": 0,
  65314. "ts": 1539815917009254,
  65315. "dur": 9,
  65316. "args": {
  65317. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  65318. "op": "Conv2DBackpropFilter"
  65319. }
  65320. },
  65321. {
  65322. "ph": "X",
  65323. "cat": "Op",
  65324. "name": "Conv2DBackpropFilter",
  65325. "pid": 25,
  65326. "tid": 0,
  65327. "ts": 1539815917009267,
  65328. "dur": 4,
  65329. "args": {
  65330. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  65331. "op": "Conv2DBackpropFilter"
  65332. }
  65333. },
  65334. {
  65335. "ph": "X",
  65336. "cat": "Op",
  65337. "name": "Conv2DBackpropFilter",
  65338. "pid": 25,
  65339. "tid": 0,
  65340. "ts": 1539815917009276,
  65341. "dur": 1681,
  65342. "args": {
  65343. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  65344. "op": "Conv2DBackpropFilter"
  65345. }
  65346. },
  65347. {
  65348. "ph": "X",
  65349. "cat": "Op",
  65350. "name": "Conv2DBackpropFilter",
  65351. "pid": 25,
  65352. "tid": 0,
  65353. "ts": 1539815917011025,
  65354. "dur": 4,
  65355. "args": {
  65356. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  65357. "op": "Conv2DBackpropFilter"
  65358. }
  65359. },
  65360. {
  65361. "ph": "X",
  65362. "cat": "Op",
  65363. "name": "Conv2DBackpropFilter",
  65364. "pid": 25,
  65365. "tid": 0,
  65366. "ts": 1539815917011080,
  65367. "dur": 8,
  65368. "args": {
  65369. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  65370. "op": "Conv2DBackpropFilter"
  65371. }
  65372. },
  65373. {
  65374. "ph": "X",
  65375. "cat": "Op",
  65376. "name": "Conv2DBackpropFilter",
  65377. "pid": 25,
  65378. "tid": 0,
  65379. "ts": 1539815917011098,
  65380. "dur": 3,
  65381. "args": {
  65382. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  65383. "op": "Conv2DBackpropFilter"
  65384. }
  65385. },
  65386. {
  65387. "ph": "X",
  65388. "cat": "Op",
  65389. "name": "Conv2DBackpropFilter",
  65390. "pid": 25,
  65391. "tid": 0,
  65392. "ts": 1539815917011116,
  65393. "dur": 1685,
  65394. "args": {
  65395. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  65396. "op": "Conv2DBackpropFilter"
  65397. }
  65398. },
  65399. {
  65400. "ph": "X",
  65401. "cat": "Op",
  65402. "name": "Conv2DBackpropFilter",
  65403. "pid": 25,
  65404. "tid": 0,
  65405. "ts": 1539815917012854,
  65406. "dur": 283,
  65407. "args": {
  65408. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  65409. "op": "Conv2DBackpropFilter"
  65410. }
  65411. },
  65412. {
  65413. "ph": "X",
  65414. "cat": "Op",
  65415. "name": "Conv2DBackpropFilter",
  65416. "pid": 25,
  65417. "tid": 0,
  65418. "ts": 1539815917013140,
  65419. "dur": 144,
  65420. "args": {
  65421. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  65422. "op": "Conv2DBackpropFilter"
  65423. }
  65424. },
  65425. {
  65426. "ph": "X",
  65427. "cat": "Op",
  65428. "name": "Conv2DBackpropFilter",
  65429. "pid": 25,
  65430. "tid": 0,
  65431. "ts": 1539815917013289,
  65432. "dur": 270,
  65433. "args": {
  65434. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  65435. "op": "Conv2DBackpropFilter"
  65436. }
  65437. },
  65438. {
  65439. "ph": "X",
  65440. "cat": "Op",
  65441. "name": "Conv2DBackpropFilter",
  65442. "pid": 25,
  65443. "tid": 0,
  65444. "ts": 1539815917013562,
  65445. "dur": 74,
  65446. "args": {
  65447. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  65448. "op": "Conv2DBackpropFilter"
  65449. }
  65450. },
  65451. {
  65452. "ph": "X",
  65453. "cat": "Op",
  65454. "name": "Conv2DBackpropFilter",
  65455. "pid": 25,
  65456. "tid": 0,
  65457. "ts": 1539815917013697,
  65458. "dur": 283,
  65459. "args": {
  65460. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  65461. "op": "Conv2DBackpropFilter"
  65462. }
  65463. },
  65464. {
  65465. "ph": "X",
  65466. "cat": "Op",
  65467. "name": "Conv2DBackpropFilter",
  65468. "pid": 25,
  65469. "tid": 0,
  65470. "ts": 1539815917013984,
  65471. "dur": 143,
  65472. "args": {
  65473. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  65474. "op": "Conv2DBackpropFilter"
  65475. }
  65476. },
  65477. {
  65478. "ph": "X",
  65479. "cat": "Op",
  65480. "name": "Conv2DBackpropFilter",
  65481. "pid": 25,
  65482. "tid": 0,
  65483. "ts": 1539815917014132,
  65484. "dur": 246,
  65485. "args": {
  65486. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  65487. "op": "Conv2DBackpropFilter"
  65488. }
  65489. },
  65490. {
  65491. "ph": "X",
  65492. "cat": "Op",
  65493. "name": "Conv2DBackpropFilter",
  65494. "pid": 25,
  65495. "tid": 0,
  65496. "ts": 1539815917014382,
  65497. "dur": 72,
  65498. "args": {
  65499. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  65500. "op": "Conv2DBackpropFilter"
  65501. }
  65502. },
  65503. {
  65504. "ph": "X",
  65505. "cat": "Op",
  65506. "name": "Conv2DBackpropFilter",
  65507. "pid": 25,
  65508. "tid": 0,
  65509. "ts": 1539815917014498,
  65510. "dur": 282,
  65511. "args": {
  65512. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  65513. "op": "Conv2DBackpropFilter"
  65514. }
  65515. },
  65516. {
  65517. "ph": "X",
  65518. "cat": "Op",
  65519. "name": "Conv2DBackpropFilter",
  65520. "pid": 25,
  65521. "tid": 0,
  65522. "ts": 1539815917014788,
  65523. "dur": 143,
  65524. "args": {
  65525. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  65526. "op": "Conv2DBackpropFilter"
  65527. }
  65528. },
  65529. {
  65530. "ph": "X",
  65531. "cat": "Op",
  65532. "name": "Conv2DBackpropFilter",
  65533. "pid": 25,
  65534. "tid": 0,
  65535. "ts": 1539815917014935,
  65536. "dur": 247,
  65537. "args": {
  65538. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  65539. "op": "Conv2DBackpropFilter"
  65540. }
  65541. },
  65542. {
  65543. "ph": "X",
  65544. "cat": "Op",
  65545. "name": "Conv2DBackpropFilter",
  65546. "pid": 25,
  65547. "tid": 0,
  65548. "ts": 1539815917015186,
  65549. "dur": 75,
  65550. "args": {
  65551. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  65552. "op": "Conv2DBackpropFilter"
  65553. }
  65554. },
  65555. {
  65556. "ph": "X",
  65557. "cat": "Op",
  65558. "name": "Conv2DBackpropFilter",
  65559. "pid": 25,
  65560. "tid": 0,
  65561. "ts": 1539815917015265,
  65562. "dur": 22,
  65563. "args": {
  65564. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  65565. "op": "Conv2DBackpropFilter"
  65566. }
  65567. },
  65568. {
  65569. "ph": "X",
  65570. "cat": "Op",
  65571. "name": "Conv2DBackpropInput",
  65572. "pid": 25,
  65573. "tid": 0,
  65574. "ts": 1539815917015291,
  65575. "dur": 22,
  65576. "args": {
  65577. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  65578. "op": "Conv2DBackpropInput"
  65579. }
  65580. },
  65581. {
  65582. "ph": "X",
  65583. "cat": "Op",
  65584. "name": "Conv2DBackpropInput",
  65585. "pid": 25,
  65586. "tid": 0,
  65587. "ts": 1539815917015319,
  65588. "dur": 14,
  65589. "args": {
  65590. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  65591. "op": "Conv2DBackpropInput"
  65592. }
  65593. },
  65594. {
  65595. "ph": "X",
  65596. "cat": "Op",
  65597. "name": "Conv2DBackpropInput",
  65598. "pid": 25,
  65599. "tid": 0,
  65600. "ts": 1539815917015337,
  65601. "dur": 2379,
  65602. "args": {
  65603. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  65604. "op": "Conv2DBackpropInput"
  65605. }
  65606. },
  65607. {
  65608. "ph": "X",
  65609. "cat": "Op",
  65610. "name": "Conv2DBackpropInput",
  65611. "pid": 25,
  65612. "tid": 0,
  65613. "ts": 1539815917017759,
  65614. "dur": 14,
  65615. "args": {
  65616. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  65617. "op": "Conv2DBackpropInput"
  65618. }
  65619. },
  65620. {
  65621. "ph": "X",
  65622. "cat": "Op",
  65623. "name": "Conv2DBackpropInput",
  65624. "pid": 25,
  65625. "tid": 0,
  65626. "ts": 1539815917017781,
  65627. "dur": 2379,
  65628. "args": {
  65629. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  65630. "op": "Conv2DBackpropInput"
  65631. }
  65632. },
  65633. {
  65634. "ph": "X",
  65635. "cat": "Op",
  65636. "name": "Conv2DBackpropInput",
  65637. "pid": 25,
  65638. "tid": 0,
  65639. "ts": 1539815917020221,
  65640. "dur": 4,
  65641. "args": {
  65642. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  65643. "op": "Conv2DBackpropInput"
  65644. }
  65645. },
  65646. {
  65647. "ph": "X",
  65648. "cat": "Op",
  65649. "name": "Conv2DBackpropInput",
  65650. "pid": 25,
  65651. "tid": 0,
  65652. "ts": 1539815917020236,
  65653. "dur": 4,
  65654. "args": {
  65655. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  65656. "op": "Conv2DBackpropInput"
  65657. }
  65658. },
  65659. {
  65660. "ph": "X",
  65661. "cat": "Op",
  65662. "name": "Conv2DBackpropInput",
  65663. "pid": 25,
  65664. "tid": 0,
  65665. "ts": 1539815917020251,
  65666. "dur": 2533,
  65667. "args": {
  65668. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  65669. "op": "Conv2DBackpropInput"
  65670. }
  65671. },
  65672. {
  65673. "ph": "X",
  65674. "cat": "Op",
  65675. "name": "Conv2DBackpropInput",
  65676. "pid": 25,
  65677. "tid": 0,
  65678. "ts": 1539815917022857,
  65679. "dur": 5,
  65680. "args": {
  65681. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  65682. "op": "Conv2DBackpropInput"
  65683. }
  65684. },
  65685. {
  65686. "ph": "X",
  65687. "cat": "Op",
  65688. "name": "Conv2DBackpropInput",
  65689. "pid": 25,
  65690. "tid": 0,
  65691. "ts": 1539815917022875,
  65692. "dur": 3,
  65693. "args": {
  65694. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  65695. "op": "Conv2DBackpropInput"
  65696. }
  65697. },
  65698. {
  65699. "ph": "X",
  65700. "cat": "Op",
  65701. "name": "Conv2DBackpropInput",
  65702. "pid": 25,
  65703. "tid": 0,
  65704. "ts": 1539815917022889,
  65705. "dur": 2533,
  65706. "args": {
  65707. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  65708. "op": "Conv2DBackpropInput"
  65709. }
  65710. },
  65711. {
  65712. "ph": "X",
  65713. "cat": "Op",
  65714. "name": "Conv2DBackpropInput",
  65715. "pid": 25,
  65716. "tid": 0,
  65717. "ts": 1539815917025473,
  65718. "dur": 70,
  65719. "args": {
  65720. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  65721. "op": "Conv2DBackpropInput"
  65722. }
  65723. },
  65724. {
  65725. "ph": "X",
  65726. "cat": "Op",
  65727. "name": "Conv2DBackpropInput",
  65728. "pid": 25,
  65729. "tid": 0,
  65730. "ts": 1539815917025680,
  65731. "dur": 4,
  65732. "args": {
  65733. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  65734. "op": "Conv2DBackpropInput"
  65735. }
  65736. },
  65737. {
  65738. "ph": "X",
  65739. "cat": "Op",
  65740. "name": "Conv2DBackpropInput",
  65741. "pid": 25,
  65742. "tid": 0,
  65743. "ts": 1539815917025687,
  65744. "dur": 797,
  65745. "args": {
  65746. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  65747. "op": "Conv2DBackpropInput"
  65748. }
  65749. },
  65750. {
  65751. "ph": "X",
  65752. "cat": "Op",
  65753. "name": "Conv2DBackpropInput",
  65754. "pid": 25,
  65755. "tid": 0,
  65756. "ts": 1539815917026489,
  65757. "dur": 79,
  65758. "args": {
  65759. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  65760. "op": "Conv2DBackpropInput"
  65761. }
  65762. },
  65763. {
  65764. "ph": "X",
  65765. "cat": "Op",
  65766. "name": "Conv2DBackpropInput",
  65767. "pid": 25,
  65768. "tid": 0,
  65769. "ts": 1539815917026620,
  65770. "dur": 69,
  65771. "args": {
  65772. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  65773. "op": "Conv2DBackpropInput"
  65774. }
  65775. },
  65776. {
  65777. "ph": "X",
  65778. "cat": "Op",
  65779. "name": "Conv2DBackpropInput",
  65780. "pid": 25,
  65781. "tid": 0,
  65782. "ts": 1539815917026827,
  65783. "dur": 4,
  65784. "args": {
  65785. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  65786. "op": "Conv2DBackpropInput"
  65787. }
  65788. },
  65789. {
  65790. "ph": "X",
  65791. "cat": "Op",
  65792. "name": "Conv2DBackpropInput",
  65793. "pid": 25,
  65794. "tid": 0,
  65795. "ts": 1539815917026835,
  65796. "dur": 799,
  65797. "args": {
  65798. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  65799. "op": "Conv2DBackpropInput"
  65800. }
  65801. },
  65802. {
  65803. "ph": "X",
  65804. "cat": "Op",
  65805. "name": "Conv2DBackpropInput",
  65806. "pid": 25,
  65807. "tid": 0,
  65808. "ts": 1539815917027639,
  65809. "dur": 79,
  65810. "args": {
  65811. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  65812. "op": "Conv2DBackpropInput"
  65813. }
  65814. },
  65815. {
  65816. "ph": "X",
  65817. "cat": "Op",
  65818. "name": "Conv2DBackpropInput",
  65819. "pid": 25,
  65820. "tid": 0,
  65821. "ts": 1539815917027778,
  65822. "dur": 215,
  65823. "args": {
  65824. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  65825. "op": "Conv2DBackpropInput"
  65826. }
  65827. },
  65828. {
  65829. "ph": "X",
  65830. "cat": "Op",
  65831. "name": "Conv2DBackpropInput",
  65832. "pid": 25,
  65833. "tid": 0,
  65834. "ts": 1539815917031065,
  65835. "dur": 212,
  65836. "args": {
  65837. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  65838. "op": "Conv2DBackpropInput"
  65839. }
  65840. },
  65841. {
  65842. "ph": "X",
  65843. "cat": "Op",
  65844. "name": "Conv2DBackpropInput",
  65845. "pid": 25,
  65846. "tid": 0,
  65847. "ts": 1539815917034347,
  65848. "dur": 556,
  65849. "args": {
  65850. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  65851. "op": "Conv2DBackpropInput"
  65852. }
  65853. },
  65854. {
  65855. "ph": "X",
  65856. "cat": "Op",
  65857. "name": "Conv2DBackpropInput",
  65858. "pid": 25,
  65859. "tid": 0,
  65860. "ts": 1539815917034906,
  65861. "dur": 51,
  65862. "args": {
  65863. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  65864. "op": "Conv2DBackpropInput"
  65865. }
  65866. },
  65867. {
  65868. "ph": "X",
  65869. "cat": "Op",
  65870. "name": "Conv2DBackpropInput",
  65871. "pid": 25,
  65872. "tid": 0,
  65873. "ts": 1539815917034961,
  65874. "dur": 244,
  65875. "args": {
  65876. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  65877. "op": "Conv2DBackpropInput"
  65878. }
  65879. },
  65880. {
  65881. "ph": "X",
  65882. "cat": "Op",
  65883. "name": "Conv2DBackpropInput",
  65884. "pid": 25,
  65885. "tid": 0,
  65886. "ts": 1539815917035209,
  65887. "dur": 223,
  65888. "args": {
  65889. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  65890. "op": "Conv2DBackpropInput"
  65891. }
  65892. },
  65893. {
  65894. "ph": "X",
  65895. "cat": "Op",
  65896. "name": "Conv2DBackpropInput",
  65897. "pid": 25,
  65898. "tid": 0,
  65899. "ts": 1539815917035488,
  65900. "dur": 557,
  65901. "args": {
  65902. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  65903. "op": "Conv2DBackpropInput"
  65904. }
  65905. },
  65906. {
  65907. "ph": "X",
  65908. "cat": "Op",
  65909. "name": "Conv2DBackpropInput",
  65910. "pid": 25,
  65911. "tid": 0,
  65912. "ts": 1539815917036048,
  65913. "dur": 50,
  65914. "args": {
  65915. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  65916. "op": "Conv2DBackpropInput"
  65917. }
  65918. },
  65919. {
  65920. "ph": "X",
  65921. "cat": "Op",
  65922. "name": "Conv2DBackpropInput",
  65923. "pid": 25,
  65924. "tid": 0,
  65925. "ts": 1539815917036101,
  65926. "dur": 245,
  65927. "args": {
  65928. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  65929. "op": "Conv2DBackpropInput"
  65930. }
  65931. },
  65932. {
  65933. "ph": "X",
  65934. "cat": "Op",
  65935. "name": "Conv2DBackpropInput",
  65936. "pid": 25,
  65937. "tid": 0,
  65938. "ts": 1539815917036350,
  65939. "dur": 223,
  65940. "args": {
  65941. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  65942. "op": "Conv2DBackpropInput"
  65943. }
  65944. },
  65945. {
  65946. "ph": "X",
  65947. "cat": "Op",
  65948. "name": "Conv2DBackpropInput",
  65949. "pid": 25,
  65950. "tid": 0,
  65951. "ts": 1539815917036617,
  65952. "dur": 556,
  65953. "args": {
  65954. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  65955. "op": "Conv2DBackpropInput"
  65956. }
  65957. },
  65958. {
  65959. "ph": "X",
  65960. "cat": "Op",
  65961. "name": "Conv2DBackpropInput",
  65962. "pid": 25,
  65963. "tid": 0,
  65964. "ts": 1539815917037177,
  65965. "dur": 51,
  65966. "args": {
  65967. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  65968. "op": "Conv2DBackpropInput"
  65969. }
  65970. },
  65971. {
  65972. "ph": "X",
  65973. "cat": "Op",
  65974. "name": "Conv2DBackpropInput",
  65975. "pid": 25,
  65976. "tid": 0,
  65977. "ts": 1539815917037231,
  65978. "dur": 245,
  65979. "args": {
  65980. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  65981. "op": "Conv2DBackpropInput"
  65982. }
  65983. },
  65984. {
  65985. "ph": "X",
  65986. "cat": "Op",
  65987. "name": "Conv2DBackpropInput",
  65988. "pid": 25,
  65989. "tid": 0,
  65990. "ts": 1539815917037480,
  65991. "dur": 224,
  65992. "args": {
  65993. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  65994. "op": "Conv2DBackpropInput"
  65995. }
  65996. },
  65997. {
  65998. "ph": "X",
  65999. "cat": "Op",
  66000. "name": "FusedBatchNormGrad",
  66001. "pid": 25,
  66002. "tid": 0,
  66003. "ts": 1539815917037708,
  66004. "dur": 4,
  66005. "args": {
  66006. "name": "tower_1/training/TFOptimizer/gradients/tower_1/batch_normalization_2/FusedBatchNorm_grad/FusedBatchNormGrad",
  66007. "op": "FusedBatchNormGrad"
  66008. }
  66009. },
  66010. {
  66011. "ph": "X",
  66012. "cat": "Op",
  66013. "name": "FusedBatchNormGrad",
  66014. "pid": 25,
  66015. "tid": 0,
  66016. "ts": 1539815917037715,
  66017. "dur": 3,
  66018. "args": {
  66019. "name": "tower_1/training/TFOptimizer/gradients/tower_1/batch_normalization_2/FusedBatchNorm_grad/FusedBatchNormGrad",
  66020. "op": "FusedBatchNormGrad"
  66021. }
  66022. },
  66023. {
  66024. "ph": "X",
  66025. "cat": "Op",
  66026. "name": "FusedBatchNormGrad",
  66027. "pid": 25,
  66028. "tid": 0,
  66029. "ts": 1539815917037721,
  66030. "dur": 57,
  66031. "args": {
  66032. "name": "tower_1/training/TFOptimizer/gradients/tower_1/batch_normalization_2/FusedBatchNorm_grad/FusedBatchNormGrad",
  66033. "op": "FusedBatchNormGrad"
  66034. }
  66035. },
  66036. {
  66037. "ph": "X",
  66038. "cat": "Op",
  66039. "name": "Mul",
  66040. "pid": 25,
  66041. "tid": 0,
  66042. "ts": 1539815917037782,
  66043. "dur": 26,
  66044. "args": {
  66045. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_1/dropout/mul_grad/Mul",
  66046. "op": "Mul"
  66047. }
  66048. },
  66049. {
  66050. "ph": "X",
  66051. "cat": "Op",
  66052. "name": "Mul",
  66053. "pid": 25,
  66054. "tid": 0,
  66055. "ts": 1539815917037812,
  66056. "dur": 16,
  66057. "args": {
  66058. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_1/dropout/div_grad/RealDiv",
  66059. "op": "Mul"
  66060. }
  66061. },
  66062. {
  66063. "ph": "X",
  66064. "cat": "Op",
  66065. "name": "Transpose",
  66066. "pid": 25,
  66067. "tid": 0,
  66068. "ts": 1539815917037832,
  66069. "dur": 20,
  66070. "args": {
  66071. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_1/dropout/div_grad/RealDiv-0-0-TransposeNCHWToNHWC-LayoutOptimizer",
  66072. "op": "Transpose"
  66073. }
  66074. },
  66075. {
  66076. "ph": "X",
  66077. "cat": "Op",
  66078. "name": "Transpose",
  66079. "pid": 25,
  66080. "tid": 0,
  66081. "ts": 1539815917037855,
  66082. "dur": 22,
  66083. "args": {
  66084. "name": "tower_1/training/TFOptimizer/gradients/tower_1/max_pooling2d_1/MaxPool_grad/MaxPoolGrad-2-TransposeNHWCToNCHW-LayoutOptimizer",
  66085. "op": "Transpose"
  66086. }
  66087. },
  66088. {
  66089. "ph": "X",
  66090. "cat": "Op",
  66091. "name": "MaxPoolGrad",
  66092. "pid": 25,
  66093. "tid": 0,
  66094. "ts": 1539815917037882,
  66095. "dur": 129,
  66096. "args": {
  66097. "name": "tower_1/training/TFOptimizer/gradients/tower_1/max_pooling2d_1/MaxPool_grad/MaxPoolGrad",
  66098. "op": "MaxPoolGrad"
  66099. }
  66100. },
  66101. {
  66102. "ph": "X",
  66103. "cat": "Op",
  66104. "name": "EluGrad",
  66105. "pid": 25,
  66106. "tid": 0,
  66107. "ts": 1539815917038015,
  66108. "dur": 102,
  66109. "args": {
  66110. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Elu_grad/EluGrad",
  66111. "op": "EluGrad"
  66112. }
  66113. },
  66114. {
  66115. "ph": "X",
  66116. "cat": "Op",
  66117. "name": "BiasAddGrad",
  66118. "pid": 25,
  66119. "tid": 0,
  66120. "ts": 1539815917038128,
  66121. "dur": 61,
  66122. "args": {
  66123. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/BiasAdd_grad/BiasAddGrad",
  66124. "op": "BiasAddGrad"
  66125. }
  66126. },
  66127. {
  66128. "ph": "X",
  66129. "cat": "Op",
  66130. "name": "BiasAddGrad",
  66131. "pid": 25,
  66132. "tid": 0,
  66133. "ts": 1539815917038220,
  66134. "dur": 34,
  66135. "args": {
  66136. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/BiasAdd_grad/BiasAddGrad",
  66137. "op": "BiasAddGrad"
  66138. }
  66139. },
  66140. {
  66141. "ph": "X",
  66142. "cat": "Op",
  66143. "name": "BiasAddGrad",
  66144. "pid": 25,
  66145. "tid": 0,
  66146. "ts": 1539815917038258,
  66147. "dur": 5,
  66148. "args": {
  66149. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/BiasAdd_grad/BiasAddGrad",
  66150. "op": "BiasAddGrad"
  66151. }
  66152. },
  66153. {
  66154. "ph": "X",
  66155. "cat": "Op",
  66156. "name": "BiasAddGrad",
  66157. "pid": 25,
  66158. "tid": 0,
  66159. "ts": 1539815917038267,
  66160. "dur": 5,
  66161. "args": {
  66162. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/BiasAdd_grad/BiasAddGrad",
  66163. "op": "BiasAddGrad"
  66164. }
  66165. },
  66166. {
  66167. "ph": "X",
  66168. "cat": "Op",
  66169. "name": "Conv2DBackpropFilter",
  66170. "pid": 25,
  66171. "tid": 0,
  66172. "ts": 1539815917038390,
  66173. "dur": 2250,
  66174. "args": {
  66175. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  66176. "op": "Conv2DBackpropFilter"
  66177. }
  66178. },
  66179. {
  66180. "ph": "X",
  66181. "cat": "Op",
  66182. "name": "Conv2DBackpropFilter",
  66183. "pid": 25,
  66184. "tid": 0,
  66185. "ts": 1539815917040703,
  66186. "dur": 2245,
  66187. "args": {
  66188. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  66189. "op": "Conv2DBackpropFilter"
  66190. }
  66191. },
  66192. {
  66193. "ph": "X",
  66194. "cat": "Op",
  66195. "name": "Conv2DBackpropFilter",
  66196. "pid": 25,
  66197. "tid": 0,
  66198. "ts": 1539815917043016,
  66199. "dur": 4,
  66200. "args": {
  66201. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  66202. "op": "Conv2DBackpropFilter"
  66203. }
  66204. },
  66205. {
  66206. "ph": "X",
  66207. "cat": "Op",
  66208. "name": "Conv2DBackpropFilter",
  66209. "pid": 25,
  66210. "tid": 0,
  66211. "ts": 1539815917043027,
  66212. "dur": 5,
  66213. "args": {
  66214. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  66215. "op": "Conv2DBackpropFilter"
  66216. }
  66217. },
  66218. {
  66219. "ph": "X",
  66220. "cat": "Op",
  66221. "name": "Conv2DBackpropFilter",
  66222. "pid": 25,
  66223. "tid": 0,
  66224. "ts": 1539815917043039,
  66225. "dur": 4,
  66226. "args": {
  66227. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  66228. "op": "Conv2DBackpropFilter"
  66229. }
  66230. },
  66231. {
  66232. "ph": "X",
  66233. "cat": "Op",
  66234. "name": "Conv2DBackpropFilter",
  66235. "pid": 25,
  66236. "tid": 0,
  66237. "ts": 1539815917043048,
  66238. "dur": 1872,
  66239. "args": {
  66240. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  66241. "op": "Conv2DBackpropFilter"
  66242. }
  66243. },
  66244. {
  66245. "ph": "X",
  66246. "cat": "Op",
  66247. "name": "Conv2DBackpropFilter",
  66248. "pid": 25,
  66249. "tid": 0,
  66250. "ts": 1539815917044980,
  66251. "dur": 4,
  66252. "args": {
  66253. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  66254. "op": "Conv2DBackpropFilter"
  66255. }
  66256. },
  66257. {
  66258. "ph": "X",
  66259. "cat": "Op",
  66260. "name": "Conv2DBackpropFilter",
  66261. "pid": 25,
  66262. "tid": 0,
  66263. "ts": 1539815917044995,
  66264. "dur": 5,
  66265. "args": {
  66266. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  66267. "op": "Conv2DBackpropFilter"
  66268. }
  66269. },
  66270. {
  66271. "ph": "X",
  66272. "cat": "Op",
  66273. "name": "Conv2DBackpropFilter",
  66274. "pid": 25,
  66275. "tid": 0,
  66276. "ts": 1539815917045010,
  66277. "dur": 4,
  66278. "args": {
  66279. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  66280. "op": "Conv2DBackpropFilter"
  66281. }
  66282. },
  66283. {
  66284. "ph": "X",
  66285. "cat": "Op",
  66286. "name": "Conv2DBackpropFilter",
  66287. "pid": 25,
  66288. "tid": 0,
  66289. "ts": 1539815917045020,
  66290. "dur": 1872,
  66291. "args": {
  66292. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  66293. "op": "Conv2DBackpropFilter"
  66294. }
  66295. },
  66296. {
  66297. "ph": "X",
  66298. "cat": "Op",
  66299. "name": "Conv2DBackpropFilter",
  66300. "pid": 25,
  66301. "tid": 0,
  66302. "ts": 1539815917046946,
  66303. "dur": 120,
  66304. "args": {
  66305. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  66306. "op": "Conv2DBackpropFilter"
  66307. }
  66308. },
  66309. {
  66310. "ph": "X",
  66311. "cat": "Op",
  66312. "name": "Conv2DBackpropFilter",
  66313. "pid": 25,
  66314. "tid": 0,
  66315. "ts": 1539815917047243,
  66316. "dur": 315,
  66317. "args": {
  66318. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  66319. "op": "Conv2DBackpropFilter"
  66320. }
  66321. },
  66322. {
  66323. "ph": "X",
  66324. "cat": "Op",
  66325. "name": "Conv2DBackpropFilter",
  66326. "pid": 25,
  66327. "tid": 0,
  66328. "ts": 1539815917047563,
  66329. "dur": 4,
  66330. "args": {
  66331. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  66332. "op": "Conv2DBackpropFilter"
  66333. }
  66334. },
  66335. {
  66336. "ph": "X",
  66337. "cat": "Op",
  66338. "name": "Conv2DBackpropFilter",
  66339. "pid": 25,
  66340. "tid": 0,
  66341. "ts": 1539815917047570,
  66342. "dur": 758,
  66343. "args": {
  66344. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  66345. "op": "Conv2DBackpropFilter"
  66346. }
  66347. },
  66348. {
  66349. "ph": "X",
  66350. "cat": "Op",
  66351. "name": "Conv2DBackpropFilter",
  66352. "pid": 25,
  66353. "tid": 0,
  66354. "ts": 1539815917048333,
  66355. "dur": 79,
  66356. "args": {
  66357. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  66358. "op": "Conv2DBackpropFilter"
  66359. }
  66360. },
  66361. {
  66362. "ph": "X",
  66363. "cat": "Op",
  66364. "name": "Conv2DBackpropFilter",
  66365. "pid": 25,
  66366. "tid": 0,
  66367. "ts": 1539815917048460,
  66368. "dur": 120,
  66369. "args": {
  66370. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  66371. "op": "Conv2DBackpropFilter"
  66372. }
  66373. },
  66374. {
  66375. "ph": "X",
  66376. "cat": "Op",
  66377. "name": "Conv2DBackpropFilter",
  66378. "pid": 25,
  66379. "tid": 0,
  66380. "ts": 1539815917048753,
  66381. "dur": 311,
  66382. "args": {
  66383. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  66384. "op": "Conv2DBackpropFilter"
  66385. }
  66386. },
  66387. {
  66388. "ph": "X",
  66389. "cat": "Op",
  66390. "name": "Conv2DBackpropFilter",
  66391. "pid": 25,
  66392. "tid": 0,
  66393. "ts": 1539815917049068,
  66394. "dur": 4,
  66395. "args": {
  66396. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  66397. "op": "Conv2DBackpropFilter"
  66398. }
  66399. },
  66400. {
  66401. "ph": "X",
  66402. "cat": "Op",
  66403. "name": "Conv2DBackpropFilter",
  66404. "pid": 25,
  66405. "tid": 0,
  66406. "ts": 1539815917049075,
  66407. "dur": 758,
  66408. "args": {
  66409. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  66410. "op": "Conv2DBackpropFilter"
  66411. }
  66412. },
  66413. {
  66414. "ph": "X",
  66415. "cat": "Op",
  66416. "name": "Conv2DBackpropFilter",
  66417. "pid": 25,
  66418. "tid": 0,
  66419. "ts": 1539815917049838,
  66420. "dur": 78,
  66421. "args": {
  66422. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  66423. "op": "Conv2DBackpropFilter"
  66424. }
  66425. },
  66426. {
  66427. "ph": "X",
  66428. "cat": "Op",
  66429. "name": "Conv2DBackpropFilter",
  66430. "pid": 25,
  66431. "tid": 0,
  66432. "ts": 1539815917049977,
  66433. "dur": 4,
  66434. "args": {
  66435. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  66436. "op": "Conv2DBackpropFilter"
  66437. }
  66438. },
  66439. {
  66440. "ph": "X",
  66441. "cat": "Op",
  66442. "name": "Conv2DBackpropFilter",
  66443. "pid": 25,
  66444. "tid": 0,
  66445. "ts": 1539815917049988,
  66446. "dur": 5,
  66447. "args": {
  66448. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  66449. "op": "Conv2DBackpropFilter"
  66450. }
  66451. },
  66452. {
  66453. "ph": "X",
  66454. "cat": "Op",
  66455. "name": "Conv2DBackpropFilter",
  66456. "pid": 25,
  66457. "tid": 0,
  66458. "ts": 1539815917050006,
  66459. "dur": 4,
  66460. "args": {
  66461. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  66462. "op": "Conv2DBackpropFilter"
  66463. }
  66464. },
  66465. {
  66466. "ph": "X",
  66467. "cat": "Op",
  66468. "name": "Conv2DBackpropFilter",
  66469. "pid": 25,
  66470. "tid": 0,
  66471. "ts": 1539815917050017,
  66472. "dur": 1871,
  66473. "args": {
  66474. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  66475. "op": "Conv2DBackpropFilter"
  66476. }
  66477. },
  66478. {
  66479. "ph": "X",
  66480. "cat": "Op",
  66481. "name": "Conv2DBackpropFilter",
  66482. "pid": 25,
  66483. "tid": 0,
  66484. "ts": 1539815917051954,
  66485. "dur": 4,
  66486. "args": {
  66487. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  66488. "op": "Conv2DBackpropFilter"
  66489. }
  66490. },
  66491. {
  66492. "ph": "X",
  66493. "cat": "Op",
  66494. "name": "Conv2DBackpropFilter",
  66495. "pid": 25,
  66496. "tid": 0,
  66497. "ts": 1539815917051965,
  66498. "dur": 5,
  66499. "args": {
  66500. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  66501. "op": "Conv2DBackpropFilter"
  66502. }
  66503. },
  66504. {
  66505. "ph": "X",
  66506. "cat": "Op",
  66507. "name": "Conv2DBackpropFilter",
  66508. "pid": 25,
  66509. "tid": 0,
  66510. "ts": 1539815917051975,
  66511. "dur": 4,
  66512. "args": {
  66513. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  66514. "op": "Conv2DBackpropFilter"
  66515. }
  66516. },
  66517. {
  66518. "ph": "X",
  66519. "cat": "Op",
  66520. "name": "Conv2DBackpropFilter",
  66521. "pid": 25,
  66522. "tid": 0,
  66523. "ts": 1539815917051984,
  66524. "dur": 1874,
  66525. "args": {
  66526. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  66527. "op": "Conv2DBackpropFilter"
  66528. }
  66529. },
  66530. {
  66531. "ph": "X",
  66532. "cat": "Op",
  66533. "name": "Conv2DBackpropFilter",
  66534. "pid": 25,
  66535. "tid": 0,
  66536. "ts": 1539815917053904,
  66537. "dur": 174,
  66538. "args": {
  66539. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  66540. "op": "Conv2DBackpropFilter"
  66541. }
  66542. },
  66543. {
  66544. "ph": "X",
  66545. "cat": "Op",
  66546. "name": "Conv2DBackpropFilter",
  66547. "pid": 25,
  66548. "tid": 0,
  66549. "ts": 1539815917054083,
  66550. "dur": 192,
  66551. "args": {
  66552. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  66553. "op": "Conv2DBackpropFilter"
  66554. }
  66555. },
  66556. {
  66557. "ph": "X",
  66558. "cat": "Op",
  66559. "name": "Conv2DBackpropFilter",
  66560. "pid": 25,
  66561. "tid": 0,
  66562. "ts": 1539815917054278,
  66563. "dur": 320,
  66564. "args": {
  66565. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  66566. "op": "Conv2DBackpropFilter"
  66567. }
  66568. },
  66569. {
  66570. "ph": "X",
  66571. "cat": "Op",
  66572. "name": "Conv2DBackpropFilter",
  66573. "pid": 25,
  66574. "tid": 0,
  66575. "ts": 1539815917054602,
  66576. "dur": 22,
  66577. "args": {
  66578. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  66579. "op": "Conv2DBackpropFilter"
  66580. }
  66581. },
  66582. {
  66583. "ph": "X",
  66584. "cat": "Op",
  66585. "name": "Conv2DBackpropFilter",
  66586. "pid": 25,
  66587. "tid": 0,
  66588. "ts": 1539815917054667,
  66589. "dur": 175,
  66590. "args": {
  66591. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  66592. "op": "Conv2DBackpropFilter"
  66593. }
  66594. },
  66595. {
  66596. "ph": "X",
  66597. "cat": "Op",
  66598. "name": "Conv2DBackpropFilter",
  66599. "pid": 25,
  66600. "tid": 0,
  66601. "ts": 1539815917054847,
  66602. "dur": 192,
  66603. "args": {
  66604. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  66605. "op": "Conv2DBackpropFilter"
  66606. }
  66607. },
  66608. {
  66609. "ph": "X",
  66610. "cat": "Op",
  66611. "name": "Conv2DBackpropFilter",
  66612. "pid": 25,
  66613. "tid": 0,
  66614. "ts": 1539815917055042,
  66615. "dur": 319,
  66616. "args": {
  66617. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  66618. "op": "Conv2DBackpropFilter"
  66619. }
  66620. },
  66621. {
  66622. "ph": "X",
  66623. "cat": "Op",
  66624. "name": "Conv2DBackpropFilter",
  66625. "pid": 25,
  66626. "tid": 0,
  66627. "ts": 1539815917055365,
  66628. "dur": 23,
  66629. "args": {
  66630. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  66631. "op": "Conv2DBackpropFilter"
  66632. }
  66633. },
  66634. {
  66635. "ph": "X",
  66636. "cat": "Op",
  66637. "name": "Conv2DBackpropFilter",
  66638. "pid": 25,
  66639. "tid": 0,
  66640. "ts": 1539815917055433,
  66641. "dur": 172,
  66642. "args": {
  66643. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  66644. "op": "Conv2DBackpropFilter"
  66645. }
  66646. },
  66647. {
  66648. "ph": "X",
  66649. "cat": "Op",
  66650. "name": "Conv2DBackpropFilter",
  66651. "pid": 25,
  66652. "tid": 0,
  66653. "ts": 1539815917055609,
  66654. "dur": 194,
  66655. "args": {
  66656. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  66657. "op": "Conv2DBackpropFilter"
  66658. }
  66659. },
  66660. {
  66661. "ph": "X",
  66662. "cat": "Op",
  66663. "name": "Conv2DBackpropFilter",
  66664. "pid": 25,
  66665. "tid": 0,
  66666. "ts": 1539815917055810,
  66667. "dur": 319,
  66668. "args": {
  66669. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  66670. "op": "Conv2DBackpropFilter"
  66671. }
  66672. },
  66673. {
  66674. "ph": "X",
  66675. "cat": "Op",
  66676. "name": "Conv2DBackpropFilter",
  66677. "pid": 25,
  66678. "tid": 0,
  66679. "ts": 1539815917056133,
  66680. "dur": 22,
  66681. "args": {
  66682. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  66683. "op": "Conv2DBackpropFilter"
  66684. }
  66685. },
  66686. {
  66687. "ph": "X",
  66688. "cat": "Op",
  66689. "name": "Conv2DBackpropFilter",
  66690. "pid": 25,
  66691. "tid": 0,
  66692. "ts": 1539815917056158,
  66693. "dur": 9,
  66694. "args": {
  66695. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  66696. "op": "Conv2DBackpropFilter"
  66697. }
  66698. },
  66699. {
  66700. "ph": "X",
  66701. "cat": "Op",
  66702. "name": "Conv2DBackpropInput",
  66703. "pid": 25,
  66704. "tid": 0,
  66705. "ts": 1539815917056172,
  66706. "dur": 9,
  66707. "args": {
  66708. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  66709. "op": "Conv2DBackpropInput"
  66710. }
  66711. },
  66712. {
  66713. "ph": "X",
  66714. "cat": "Op",
  66715. "name": "Conv2DBackpropInput",
  66716. "pid": 25,
  66717. "tid": 0,
  66718. "ts": 1539815917056187,
  66719. "dur": 24,
  66720. "args": {
  66721. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  66722. "op": "Conv2DBackpropInput"
  66723. }
  66724. },
  66725. {
  66726. "ph": "X",
  66727. "cat": "Op",
  66728. "name": "Conv2DBackpropInput",
  66729. "pid": 25,
  66730. "tid": 0,
  66731. "ts": 1539815917056215,
  66732. "dur": 3112,
  66733. "args": {
  66734. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  66735. "op": "Conv2DBackpropInput"
  66736. }
  66737. },
  66738. {
  66739. "ph": "X",
  66740. "cat": "Op",
  66741. "name": "Conv2DBackpropInput",
  66742. "pid": 25,
  66743. "tid": 0,
  66744. "ts": 1539815917059370,
  66745. "dur": 24,
  66746. "args": {
  66747. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  66748. "op": "Conv2DBackpropInput"
  66749. }
  66750. },
  66751. {
  66752. "ph": "X",
  66753. "cat": "Op",
  66754. "name": "Conv2DBackpropInput",
  66755. "pid": 25,
  66756. "tid": 0,
  66757. "ts": 1539815917059399,
  66758. "dur": 3112,
  66759. "args": {
  66760. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  66761. "op": "Conv2DBackpropInput"
  66762. }
  66763. },
  66764. {
  66765. "ph": "X",
  66766. "cat": "Op",
  66767. "name": "Conv2DBackpropInput",
  66768. "pid": 25,
  66769. "tid": 0,
  66770. "ts": 1539815917062568,
  66771. "dur": 4,
  66772. "args": {
  66773. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  66774. "op": "Conv2DBackpropInput"
  66775. }
  66776. },
  66777. {
  66778. "ph": "X",
  66779. "cat": "Op",
  66780. "name": "Conv2DBackpropInput",
  66781. "pid": 25,
  66782. "tid": 0,
  66783. "ts": 1539815917062580,
  66784. "dur": 3,
  66785. "args": {
  66786. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  66787. "op": "Conv2DBackpropInput"
  66788. }
  66789. },
  66790. {
  66791. "ph": "X",
  66792. "cat": "Op",
  66793. "name": "Conv2DBackpropInput",
  66794. "pid": 25,
  66795. "tid": 0,
  66796. "ts": 1539815917062594,
  66797. "dur": 1960,
  66798. "args": {
  66799. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  66800. "op": "Conv2DBackpropInput"
  66801. }
  66802. },
  66803. {
  66804. "ph": "X",
  66805. "cat": "Op",
  66806. "name": "Conv2DBackpropInput",
  66807. "pid": 25,
  66808. "tid": 0,
  66809. "ts": 1539815917064610,
  66810. "dur": 4,
  66811. "args": {
  66812. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  66813. "op": "Conv2DBackpropInput"
  66814. }
  66815. },
  66816. {
  66817. "ph": "X",
  66818. "cat": "Op",
  66819. "name": "Conv2DBackpropInput",
  66820. "pid": 25,
  66821. "tid": 0,
  66822. "ts": 1539815917064622,
  66823. "dur": 4,
  66824. "args": {
  66825. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  66826. "op": "Conv2DBackpropInput"
  66827. }
  66828. },
  66829. {
  66830. "ph": "X",
  66831. "cat": "Op",
  66832. "name": "Conv2DBackpropInput",
  66833. "pid": 25,
  66834. "tid": 0,
  66835. "ts": 1539815917064634,
  66836. "dur": 1957,
  66837. "args": {
  66838. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  66839. "op": "Conv2DBackpropInput"
  66840. }
  66841. },
  66842. {
  66843. "ph": "X",
  66844. "cat": "Op",
  66845. "name": "Conv2DBackpropInput",
  66846. "pid": 25,
  66847. "tid": 0,
  66848. "ts": 1539815917066642,
  66849. "dur": 70,
  66850. "args": {
  66851. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  66852. "op": "Conv2DBackpropInput"
  66853. }
  66854. },
  66855. {
  66856. "ph": "X",
  66857. "cat": "Op",
  66858. "name": "Conv2DBackpropInput",
  66859. "pid": 25,
  66860. "tid": 0,
  66861. "ts": 1539815917067037,
  66862. "dur": 5,
  66863. "args": {
  66864. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  66865. "op": "Conv2DBackpropInput"
  66866. }
  66867. },
  66868. {
  66869. "ph": "X",
  66870. "cat": "Op",
  66871. "name": "Conv2DBackpropInput",
  66872. "pid": 25,
  66873. "tid": 0,
  66874. "ts": 1539815917067045,
  66875. "dur": 750,
  66876. "args": {
  66877. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  66878. "op": "Conv2DBackpropInput"
  66879. }
  66880. },
  66881. {
  66882. "ph": "X",
  66883. "cat": "Op",
  66884. "name": "Conv2DBackpropInput",
  66885. "pid": 25,
  66886. "tid": 0,
  66887. "ts": 1539815917067800,
  66888. "dur": 146,
  66889. "args": {
  66890. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  66891. "op": "Conv2DBackpropInput"
  66892. }
  66893. },
  66894. {
  66895. "ph": "X",
  66896. "cat": "Op",
  66897. "name": "Conv2DBackpropInput",
  66898. "pid": 25,
  66899. "tid": 0,
  66900. "ts": 1539815917067999,
  66901. "dur": 67,
  66902. "args": {
  66903. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  66904. "op": "Conv2DBackpropInput"
  66905. }
  66906. },
  66907. {
  66908. "ph": "X",
  66909. "cat": "Op",
  66910. "name": "Conv2DBackpropInput",
  66911. "pid": 25,
  66912. "tid": 0,
  66913. "ts": 1539815917068390,
  66914. "dur": 5,
  66915. "args": {
  66916. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  66917. "op": "Conv2DBackpropInput"
  66918. }
  66919. },
  66920. {
  66921. "ph": "X",
  66922. "cat": "Op",
  66923. "name": "Conv2DBackpropInput",
  66924. "pid": 25,
  66925. "tid": 0,
  66926. "ts": 1539815917068399,
  66927. "dur": 754,
  66928. "args": {
  66929. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  66930. "op": "Conv2DBackpropInput"
  66931. }
  66932. },
  66933. {
  66934. "ph": "X",
  66935. "cat": "Op",
  66936. "name": "Conv2DBackpropInput",
  66937. "pid": 25,
  66938. "tid": 0,
  66939. "ts": 1539815917069158,
  66940. "dur": 146,
  66941. "args": {
  66942. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  66943. "op": "Conv2DBackpropInput"
  66944. }
  66945. },
  66946. {
  66947. "ph": "X",
  66948. "cat": "Op",
  66949. "name": "Conv2DBackpropInput",
  66950. "pid": 25,
  66951. "tid": 0,
  66952. "ts": 1539815917069365,
  66953. "dur": 65,
  66954. "args": {
  66955. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  66956. "op": "Conv2DBackpropInput"
  66957. }
  66958. },
  66959. {
  66960. "ph": "X",
  66961. "cat": "Op",
  66962. "name": "Conv2DBackpropInput",
  66963. "pid": 25,
  66964. "tid": 0,
  66965. "ts": 1539815917070570,
  66966. "dur": 66,
  66967. "args": {
  66968. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  66969. "op": "Conv2DBackpropInput"
  66970. }
  66971. },
  66972. {
  66973. "ph": "X",
  66974. "cat": "Op",
  66975. "name": "Conv2DBackpropInput",
  66976. "pid": 25,
  66977. "tid": 0,
  66978. "ts": 1539815917071795,
  66979. "dur": 331,
  66980. "args": {
  66981. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  66982. "op": "Conv2DBackpropInput"
  66983. }
  66984. },
  66985. {
  66986. "ph": "X",
  66987. "cat": "Op",
  66988. "name": "Conv2DBackpropInput",
  66989. "pid": 25,
  66990. "tid": 0,
  66991. "ts": 1539815917072131,
  66992. "dur": 16,
  66993. "args": {
  66994. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  66995. "op": "Conv2DBackpropInput"
  66996. }
  66997. },
  66998. {
  66999. "ph": "X",
  67000. "cat": "Op",
  67001. "name": "Conv2DBackpropInput",
  67002. "pid": 25,
  67003. "tid": 0,
  67004. "ts": 1539815917072150,
  67005. "dur": 250,
  67006. "args": {
  67007. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  67008. "op": "Conv2DBackpropInput"
  67009. }
  67010. },
  67011. {
  67012. "ph": "X",
  67013. "cat": "Op",
  67014. "name": "Conv2DBackpropInput",
  67015. "pid": 25,
  67016. "tid": 0,
  67017. "ts": 1539815917072404,
  67018. "dur": 148,
  67019. "args": {
  67020. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  67021. "op": "Conv2DBackpropInput"
  67022. }
  67023. },
  67024. {
  67025. "ph": "X",
  67026. "cat": "Op",
  67027. "name": "Conv2DBackpropInput",
  67028. "pid": 25,
  67029. "tid": 0,
  67030. "ts": 1539815917072596,
  67031. "dur": 330,
  67032. "args": {
  67033. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  67034. "op": "Conv2DBackpropInput"
  67035. }
  67036. },
  67037. {
  67038. "ph": "X",
  67039. "cat": "Op",
  67040. "name": "Conv2DBackpropInput",
  67041. "pid": 25,
  67042. "tid": 0,
  67043. "ts": 1539815917072931,
  67044. "dur": 16,
  67045. "args": {
  67046. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  67047. "op": "Conv2DBackpropInput"
  67048. }
  67049. },
  67050. {
  67051. "ph": "X",
  67052. "cat": "Op",
  67053. "name": "Conv2DBackpropInput",
  67054. "pid": 25,
  67055. "tid": 0,
  67056. "ts": 1539815917072952,
  67057. "dur": 250,
  67058. "args": {
  67059. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  67060. "op": "Conv2DBackpropInput"
  67061. }
  67062. },
  67063. {
  67064. "ph": "X",
  67065. "cat": "Op",
  67066. "name": "Conv2DBackpropInput",
  67067. "pid": 25,
  67068. "tid": 0,
  67069. "ts": 1539815917073206,
  67070. "dur": 153,
  67071. "args": {
  67072. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  67073. "op": "Conv2DBackpropInput"
  67074. }
  67075. },
  67076. {
  67077. "ph": "X",
  67078. "cat": "Op",
  67079. "name": "Conv2DBackpropInput",
  67080. "pid": 25,
  67081. "tid": 0,
  67082. "ts": 1539815917073398,
  67083. "dur": 331,
  67084. "args": {
  67085. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  67086. "op": "Conv2DBackpropInput"
  67087. }
  67088. },
  67089. {
  67090. "ph": "X",
  67091. "cat": "Op",
  67092. "name": "Conv2DBackpropInput",
  67093. "pid": 25,
  67094. "tid": 0,
  67095. "ts": 1539815917073734,
  67096. "dur": 16,
  67097. "args": {
  67098. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  67099. "op": "Conv2DBackpropInput"
  67100. }
  67101. },
  67102. {
  67103. "ph": "X",
  67104. "cat": "Op",
  67105. "name": "Conv2DBackpropInput",
  67106. "pid": 25,
  67107. "tid": 0,
  67108. "ts": 1539815917073755,
  67109. "dur": 250,
  67110. "args": {
  67111. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  67112. "op": "Conv2DBackpropInput"
  67113. }
  67114. },
  67115. {
  67116. "ph": "X",
  67117. "cat": "Op",
  67118. "name": "Conv2DBackpropInput",
  67119. "pid": 25,
  67120. "tid": 0,
  67121. "ts": 1539815917074010,
  67122. "dur": 151,
  67123. "args": {
  67124. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  67125. "op": "Conv2DBackpropInput"
  67126. }
  67127. },
  67128. {
  67129. "ph": "X",
  67130. "cat": "Op",
  67131. "name": "FusedBatchNormGrad",
  67132. "pid": 25,
  67133. "tid": 0,
  67134. "ts": 1539815917074164,
  67135. "dur": 4,
  67136. "args": {
  67137. "name": "tower_1/training/TFOptimizer/gradients/tower_1/batch_normalization_1/FusedBatchNorm_grad/FusedBatchNormGrad",
  67138. "op": "FusedBatchNormGrad"
  67139. }
  67140. },
  67141. {
  67142. "ph": "X",
  67143. "cat": "Op",
  67144. "name": "FusedBatchNormGrad",
  67145. "pid": 25,
  67146. "tid": 0,
  67147. "ts": 1539815917074171,
  67148. "dur": 3,
  67149. "args": {
  67150. "name": "tower_1/training/TFOptimizer/gradients/tower_1/batch_normalization_1/FusedBatchNorm_grad/FusedBatchNormGrad",
  67151. "op": "FusedBatchNormGrad"
  67152. }
  67153. },
  67154. {
  67155. "ph": "X",
  67156. "cat": "Op",
  67157. "name": "FusedBatchNormGrad",
  67158. "pid": 25,
  67159. "tid": 0,
  67160. "ts": 1539815917074178,
  67161. "dur": 111,
  67162. "args": {
  67163. "name": "tower_1/training/TFOptimizer/gradients/tower_1/batch_normalization_1/FusedBatchNorm_grad/FusedBatchNormGrad",
  67164. "op": "FusedBatchNormGrad"
  67165. }
  67166. },
  67167. {
  67168. "ph": "X",
  67169. "cat": "Op",
  67170. "name": "Mul",
  67171. "pid": 25,
  67172. "tid": 0,
  67173. "ts": 1539815917074293,
  67174. "dur": 49,
  67175. "args": {
  67176. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout/dropout/mul_grad/Mul",
  67177. "op": "Mul"
  67178. }
  67179. },
  67180. {
  67181. "ph": "X",
  67182. "cat": "Op",
  67183. "name": "Mul",
  67184. "pid": 25,
  67185. "tid": 0,
  67186. "ts": 1539815917074345,
  67187. "dur": 35,
  67188. "args": {
  67189. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout/dropout/div_grad/RealDiv",
  67190. "op": "Mul"
  67191. }
  67192. },
  67193. {
  67194. "ph": "X",
  67195. "cat": "Op",
  67196. "name": "Transpose",
  67197. "pid": 25,
  67198. "tid": 0,
  67199. "ts": 1539815917074385,
  67200. "dur": 35,
  67201. "args": {
  67202. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout/dropout/div_grad/RealDiv-0-0-TransposeNCHWToNHWC-LayoutOptimizer",
  67203. "op": "Transpose"
  67204. }
  67205. },
  67206. {
  67207. "ph": "X",
  67208. "cat": "Op",
  67209. "name": "Transpose",
  67210. "pid": 25,
  67211. "tid": 0,
  67212. "ts": 1539815917074424,
  67213. "dur": 38,
  67214. "args": {
  67215. "name": "tower_1/training/TFOptimizer/gradients/tower_1/max_pooling2d/MaxPool_grad/MaxPoolGrad-2-TransposeNHWCToNCHW-LayoutOptimizer",
  67216. "op": "Transpose"
  67217. }
  67218. },
  67219. {
  67220. "ph": "X",
  67221. "cat": "Op",
  67222. "name": "MaxPoolGrad",
  67223. "pid": 25,
  67224. "tid": 0,
  67225. "ts": 1539815917074466,
  67226. "dur": 174,
  67227. "args": {
  67228. "name": "tower_1/training/TFOptimizer/gradients/tower_1/max_pooling2d/MaxPool_grad/MaxPoolGrad",
  67229. "op": "MaxPoolGrad"
  67230. }
  67231. },
  67232. {
  67233. "ph": "X",
  67234. "cat": "Op",
  67235. "name": "EluGrad",
  67236. "pid": 25,
  67237. "tid": 0,
  67238. "ts": 1539815917074644,
  67239. "dur": 203,
  67240. "args": {
  67241. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Elu_grad/EluGrad",
  67242. "op": "EluGrad"
  67243. }
  67244. },
  67245. {
  67246. "ph": "X",
  67247. "cat": "Op",
  67248. "name": "BiasAddGrad",
  67249. "pid": 25,
  67250. "tid": 0,
  67251. "ts": 1539815917074859,
  67252. "dur": 106,
  67253. "args": {
  67254. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/BiasAdd_grad/BiasAddGrad",
  67255. "op": "BiasAddGrad"
  67256. }
  67257. },
  67258. {
  67259. "ph": "X",
  67260. "cat": "Op",
  67261. "name": "BiasAddGrad",
  67262. "pid": 25,
  67263. "tid": 0,
  67264. "ts": 1539815917075000,
  67265. "dur": 64,
  67266. "args": {
  67267. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/BiasAdd_grad/BiasAddGrad",
  67268. "op": "BiasAddGrad"
  67269. }
  67270. },
  67271. {
  67272. "ph": "X",
  67273. "cat": "Op",
  67274. "name": "BiasAddGrad",
  67275. "pid": 25,
  67276. "tid": 0,
  67277. "ts": 1539815917075067,
  67278. "dur": 5,
  67279. "args": {
  67280. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/BiasAdd_grad/BiasAddGrad",
  67281. "op": "BiasAddGrad"
  67282. }
  67283. },
  67284. {
  67285. "ph": "X",
  67286. "cat": "Op",
  67287. "name": "BiasAddGrad",
  67288. "pid": 25,
  67289. "tid": 0,
  67290. "ts": 1539815917075076,
  67291. "dur": 5,
  67292. "args": {
  67293. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/BiasAdd_grad/BiasAddGrad",
  67294. "op": "BiasAddGrad"
  67295. }
  67296. },
  67297. {
  67298. "ph": "X",
  67299. "cat": "Op",
  67300. "name": "Conv2DBackpropFilter",
  67301. "pid": 25,
  67302. "tid": 0,
  67303. "ts": 1539815917075198,
  67304. "dur": 243,
  67305. "args": {
  67306. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  67307. "op": "Conv2DBackpropFilter"
  67308. }
  67309. },
  67310. {
  67311. "ph": "X",
  67312. "cat": "Op",
  67313. "name": "Conv2DBackpropFilter",
  67314. "pid": 25,
  67315. "tid": 0,
  67316. "ts": 1539815917075499,
  67317. "dur": 243,
  67318. "args": {
  67319. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  67320. "op": "Conv2DBackpropFilter"
  67321. }
  67322. },
  67323. {
  67324. "ph": "X",
  67325. "cat": "Op",
  67326. "name": "Conv2DBackpropFilter",
  67327. "pid": 25,
  67328. "tid": 0,
  67329. "ts": 1539815917075804,
  67330. "dur": 4,
  67331. "args": {
  67332. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  67333. "op": "Conv2DBackpropFilter"
  67334. }
  67335. },
  67336. {
  67337. "ph": "X",
  67338. "cat": "Op",
  67339. "name": "Conv2DBackpropFilter",
  67340. "pid": 25,
  67341. "tid": 0,
  67342. "ts": 1539815917075821,
  67343. "dur": 3,
  67344. "args": {
  67345. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  67346. "op": "Conv2DBackpropFilter"
  67347. }
  67348. },
  67349. {
  67350. "ph": "X",
  67351. "cat": "Op",
  67352. "name": "Conv2DBackpropFilter",
  67353. "pid": 25,
  67354. "tid": 0,
  67355. "ts": 1539815917075832,
  67356. "dur": 4,
  67357. "args": {
  67358. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  67359. "op": "Conv2DBackpropFilter"
  67360. }
  67361. },
  67362. {
  67363. "ph": "X",
  67364. "cat": "Op",
  67365. "name": "Conv2DBackpropFilter",
  67366. "pid": 25,
  67367. "tid": 0,
  67368. "ts": 1539815917075844,
  67369. "dur": 1028,
  67370. "args": {
  67371. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  67372. "op": "Conv2DBackpropFilter"
  67373. }
  67374. },
  67375. {
  67376. "ph": "X",
  67377. "cat": "Op",
  67378. "name": "Conv2DBackpropFilter",
  67379. "pid": 25,
  67380. "tid": 0,
  67381. "ts": 1539815917076933,
  67382. "dur": 4,
  67383. "args": {
  67384. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  67385. "op": "Conv2DBackpropFilter"
  67386. }
  67387. },
  67388. {
  67389. "ph": "X",
  67390. "cat": "Op",
  67391. "name": "Conv2DBackpropFilter",
  67392. "pid": 25,
  67393. "tid": 0,
  67394. "ts": 1539815917076944,
  67395. "dur": 3,
  67396. "args": {
  67397. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  67398. "op": "Conv2DBackpropFilter"
  67399. }
  67400. },
  67401. {
  67402. "ph": "X",
  67403. "cat": "Op",
  67404. "name": "Conv2DBackpropFilter",
  67405. "pid": 25,
  67406. "tid": 0,
  67407. "ts": 1539815917076954,
  67408. "dur": 3,
  67409. "args": {
  67410. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  67411. "op": "Conv2DBackpropFilter"
  67412. }
  67413. },
  67414. {
  67415. "ph": "X",
  67416. "cat": "Op",
  67417. "name": "Conv2DBackpropFilter",
  67418. "pid": 25,
  67419. "tid": 0,
  67420. "ts": 1539815917076965,
  67421. "dur": 1027,
  67422. "args": {
  67423. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  67424. "op": "Conv2DBackpropFilter"
  67425. }
  67426. },
  67427. {
  67428. "ph": "X",
  67429. "cat": "Op",
  67430. "name": "Conv2DBackpropFilter",
  67431. "pid": 25,
  67432. "tid": 0,
  67433. "ts": 1539815917078040,
  67434. "dur": 502,
  67435. "args": {
  67436. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  67437. "op": "Conv2DBackpropFilter"
  67438. }
  67439. },
  67440. {
  67441. "ph": "X",
  67442. "cat": "Op",
  67443. "name": "Conv2DBackpropFilter",
  67444. "pid": 25,
  67445. "tid": 0,
  67446. "ts": 1539815917078572,
  67447. "dur": 194,
  67448. "args": {
  67449. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  67450. "op": "Conv2DBackpropFilter"
  67451. }
  67452. },
  67453. {
  67454. "ph": "X",
  67455. "cat": "Op",
  67456. "name": "Conv2DBackpropFilter",
  67457. "pid": 25,
  67458. "tid": 0,
  67459. "ts": 1539815917078771,
  67460. "dur": 4,
  67461. "args": {
  67462. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  67463. "op": "Conv2DBackpropFilter"
  67464. }
  67465. },
  67466. {
  67467. "ph": "X",
  67468. "cat": "Op",
  67469. "name": "Conv2DBackpropFilter",
  67470. "pid": 25,
  67471. "tid": 0,
  67472. "ts": 1539815917078778,
  67473. "dur": 369,
  67474. "args": {
  67475. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  67476. "op": "Conv2DBackpropFilter"
  67477. }
  67478. },
  67479. {
  67480. "ph": "X",
  67481. "cat": "Op",
  67482. "name": "Conv2DBackpropFilter",
  67483. "pid": 25,
  67484. "tid": 0,
  67485. "ts": 1539815917079151,
  67486. "dur": 19,
  67487. "args": {
  67488. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  67489. "op": "Conv2DBackpropFilter"
  67490. }
  67491. },
  67492. {
  67493. "ph": "X",
  67494. "cat": "Op",
  67495. "name": "Conv2DBackpropFilter",
  67496. "pid": 25,
  67497. "tid": 0,
  67498. "ts": 1539815917079223,
  67499. "dur": 501,
  67500. "args": {
  67501. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  67502. "op": "Conv2DBackpropFilter"
  67503. }
  67504. },
  67505. {
  67506. "ph": "X",
  67507. "cat": "Op",
  67508. "name": "Conv2DBackpropFilter",
  67509. "pid": 25,
  67510. "tid": 0,
  67511. "ts": 1539815917079753,
  67512. "dur": 194,
  67513. "args": {
  67514. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  67515. "op": "Conv2DBackpropFilter"
  67516. }
  67517. },
  67518. {
  67519. "ph": "X",
  67520. "cat": "Op",
  67521. "name": "Conv2DBackpropFilter",
  67522. "pid": 25,
  67523. "tid": 0,
  67524. "ts": 1539815917079952,
  67525. "dur": 4,
  67526. "args": {
  67527. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  67528. "op": "Conv2DBackpropFilter"
  67529. }
  67530. },
  67531. {
  67532. "ph": "X",
  67533. "cat": "Op",
  67534. "name": "Conv2DBackpropFilter",
  67535. "pid": 25,
  67536. "tid": 0,
  67537. "ts": 1539815917079960,
  67538. "dur": 394,
  67539. "args": {
  67540. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  67541. "op": "Conv2DBackpropFilter"
  67542. }
  67543. },
  67544. {
  67545. "ph": "X",
  67546. "cat": "Op",
  67547. "name": "Conv2DBackpropFilter",
  67548. "pid": 25,
  67549. "tid": 0,
  67550. "ts": 1539815917080358,
  67551. "dur": 18,
  67552. "args": {
  67553. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  67554. "op": "Conv2DBackpropFilter"
  67555. }
  67556. },
  67557. {
  67558. "ph": "X",
  67559. "cat": "Op",
  67560. "name": "Conv2DBackpropFilter",
  67561. "pid": 25,
  67562. "tid": 0,
  67563. "ts": 1539815917080441,
  67564. "dur": 4,
  67565. "args": {
  67566. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  67567. "op": "Conv2DBackpropFilter"
  67568. }
  67569. },
  67570. {
  67571. "ph": "X",
  67572. "cat": "Op",
  67573. "name": "Conv2DBackpropFilter",
  67574. "pid": 25,
  67575. "tid": 0,
  67576. "ts": 1539815917080452,
  67577. "dur": 3,
  67578. "args": {
  67579. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  67580. "op": "Conv2DBackpropFilter"
  67581. }
  67582. },
  67583. {
  67584. "ph": "X",
  67585. "cat": "Op",
  67586. "name": "Conv2DBackpropFilter",
  67587. "pid": 25,
  67588. "tid": 0,
  67589. "ts": 1539815917080464,
  67590. "dur": 3,
  67591. "args": {
  67592. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  67593. "op": "Conv2DBackpropFilter"
  67594. }
  67595. },
  67596. {
  67597. "ph": "X",
  67598. "cat": "Op",
  67599. "name": "Conv2DBackpropFilter",
  67600. "pid": 25,
  67601. "tid": 0,
  67602. "ts": 1539815917080473,
  67603. "dur": 1022,
  67604. "args": {
  67605. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  67606. "op": "Conv2DBackpropFilter"
  67607. }
  67608. },
  67609. {
  67610. "ph": "X",
  67611. "cat": "Op",
  67612. "name": "Conv2DBackpropFilter",
  67613. "pid": 25,
  67614. "tid": 0,
  67615. "ts": 1539815917081554,
  67616. "dur": 4,
  67617. "args": {
  67618. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  67619. "op": "Conv2DBackpropFilter"
  67620. }
  67621. },
  67622. {
  67623. "ph": "X",
  67624. "cat": "Op",
  67625. "name": "Conv2DBackpropFilter",
  67626. "pid": 25,
  67627. "tid": 0,
  67628. "ts": 1539815917081564,
  67629. "dur": 3,
  67630. "args": {
  67631. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  67632. "op": "Conv2DBackpropFilter"
  67633. }
  67634. },
  67635. {
  67636. "ph": "X",
  67637. "cat": "Op",
  67638. "name": "Conv2DBackpropFilter",
  67639. "pid": 25,
  67640. "tid": 0,
  67641. "ts": 1539815917081574,
  67642. "dur": 3,
  67643. "args": {
  67644. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  67645. "op": "Conv2DBackpropFilter"
  67646. }
  67647. },
  67648. {
  67649. "ph": "X",
  67650. "cat": "Op",
  67651. "name": "Conv2DBackpropFilter",
  67652. "pid": 25,
  67653. "tid": 0,
  67654. "ts": 1539815917081582,
  67655. "dur": 997,
  67656. "args": {
  67657. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  67658. "op": "Conv2DBackpropFilter"
  67659. }
  67660. },
  67661. {
  67662. "ph": "X",
  67663. "cat": "Op",
  67664. "name": "Conv2DBackpropFilter",
  67665. "pid": 25,
  67666. "tid": 0,
  67667. "ts": 1539815917082623,
  67668. "dur": 25,
  67669. "args": {
  67670. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  67671. "op": "Conv2DBackpropFilter"
  67672. }
  67673. },
  67674. {
  67675. "ph": "X",
  67676. "cat": "Op",
  67677. "name": "Conv2DBackpropFilter",
  67678. "pid": 25,
  67679. "tid": 0,
  67680. "ts": 1539815917082653,
  67681. "dur": 343,
  67682. "args": {
  67683. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  67684. "op": "Conv2DBackpropFilter"
  67685. }
  67686. },
  67687. {
  67688. "ph": "X",
  67689. "cat": "Op",
  67690. "name": "Conv2DBackpropFilter",
  67691. "pid": 25,
  67692. "tid": 0,
  67693. "ts": 1539815917083000,
  67694. "dur": 1104,
  67695. "args": {
  67696. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  67697. "op": "Conv2DBackpropFilter"
  67698. }
  67699. },
  67700. {
  67701. "ph": "X",
  67702. "cat": "Op",
  67703. "name": "Conv2DBackpropFilter",
  67704. "pid": 25,
  67705. "tid": 0,
  67706. "ts": 1539815917084108,
  67707. "dur": 7,
  67708. "args": {
  67709. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  67710. "op": "Conv2DBackpropFilter"
  67711. }
  67712. },
  67713. {
  67714. "ph": "X",
  67715. "cat": "Op",
  67716. "name": "Conv2DBackpropFilter",
  67717. "pid": 25,
  67718. "tid": 0,
  67719. "ts": 1539815917084162,
  67720. "dur": 24,
  67721. "args": {
  67722. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  67723. "op": "Conv2DBackpropFilter"
  67724. }
  67725. },
  67726. {
  67727. "ph": "X",
  67728. "cat": "Op",
  67729. "name": "Conv2DBackpropFilter",
  67730. "pid": 25,
  67731. "tid": 0,
  67732. "ts": 1539815917084190,
  67733. "dur": 344,
  67734. "args": {
  67735. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  67736. "op": "Conv2DBackpropFilter"
  67737. }
  67738. },
  67739. {
  67740. "ph": "X",
  67741. "cat": "Op",
  67742. "name": "Conv2DBackpropFilter",
  67743. "pid": 25,
  67744. "tid": 0,
  67745. "ts": 1539815917084537,
  67746. "dur": 1104,
  67747. "args": {
  67748. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  67749. "op": "Conv2DBackpropFilter"
  67750. }
  67751. },
  67752. {
  67753. "ph": "X",
  67754. "cat": "Op",
  67755. "name": "Conv2DBackpropFilter",
  67756. "pid": 25,
  67757. "tid": 0,
  67758. "ts": 1539815917085646,
  67759. "dur": 6,
  67760. "args": {
  67761. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  67762. "op": "Conv2DBackpropFilter"
  67763. }
  67764. },
  67765. {
  67766. "ph": "X",
  67767. "cat": "Op",
  67768. "name": "Conv2DBackpropFilter",
  67769. "pid": 25,
  67770. "tid": 0,
  67771. "ts": 1539815917085711,
  67772. "dur": 223,
  67773. "args": {
  67774. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  67775. "op": "Conv2DBackpropFilter"
  67776. }
  67777. },
  67778. {
  67779. "ph": "X",
  67780. "cat": "Op",
  67781. "name": "Conv2DBackpropFilter",
  67782. "pid": 25,
  67783. "tid": 0,
  67784. "ts": 1539815917085941,
  67785. "dur": 4,
  67786. "args": {
  67787. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  67788. "op": "Conv2DBackpropFilter"
  67789. }
  67790. },
  67791. {
  67792. "ph": "X",
  67793. "cat": "Op",
  67794. "name": "Conv2DBackpropInput",
  67795. "pid": 25,
  67796. "tid": 0,
  67797. "ts": 1539815917085948,
  67798. "dur": 4,
  67799. "args": {
  67800. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  67801. "op": "Conv2DBackpropInput"
  67802. }
  67803. },
  67804. {
  67805. "ph": "X",
  67806. "cat": "Op",
  67807. "name": "Conv2DBackpropInput",
  67808. "pid": 25,
  67809. "tid": 0,
  67810. "ts": 1539815917085960,
  67811. "dur": 4,
  67812. "args": {
  67813. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  67814. "op": "Conv2DBackpropInput"
  67815. }
  67816. },
  67817. {
  67818. "ph": "X",
  67819. "cat": "Op",
  67820. "name": "Conv2DBackpropInput",
  67821. "pid": 25,
  67822. "tid": 0,
  67823. "ts": 1539815917085967,
  67824. "dur": 214,
  67825. "args": {
  67826. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  67827. "op": "Conv2DBackpropInput"
  67828. }
  67829. },
  67830. {
  67831. "ph": "X",
  67832. "cat": "Op",
  67833. "name": "Conv2DBackpropInput",
  67834. "pid": 25,
  67835. "tid": 0,
  67836. "ts": 1539815917086220,
  67837. "dur": 5,
  67838. "args": {
  67839. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  67840. "op": "Conv2DBackpropInput"
  67841. }
  67842. },
  67843. {
  67844. "ph": "X",
  67845. "cat": "Op",
  67846. "name": "Conv2DBackpropInput",
  67847. "pid": 25,
  67848. "tid": 0,
  67849. "ts": 1539815917086239,
  67850. "dur": 214,
  67851. "args": {
  67852. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  67853. "op": "Conv2DBackpropInput"
  67854. }
  67855. },
  67856. {
  67857. "ph": "X",
  67858. "cat": "Op",
  67859. "name": "Conv2DBackpropInput",
  67860. "pid": 25,
  67861. "tid": 0,
  67862. "ts": 1539815917086506,
  67863. "dur": 4,
  67864. "args": {
  67865. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  67866. "op": "Conv2DBackpropInput"
  67867. }
  67868. },
  67869. {
  67870. "ph": "X",
  67871. "cat": "Op",
  67872. "name": "Conv2DBackpropInput",
  67873. "pid": 25,
  67874. "tid": 0,
  67875. "ts": 1539815917086518,
  67876. "dur": 3,
  67877. "args": {
  67878. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  67879. "op": "Conv2DBackpropInput"
  67880. }
  67881. },
  67882. {
  67883. "ph": "X",
  67884. "cat": "Op",
  67885. "name": "Conv2DBackpropInput",
  67886. "pid": 25,
  67887. "tid": 0,
  67888. "ts": 1539815917086531,
  67889. "dur": 2962,
  67890. "args": {
  67891. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  67892. "op": "Conv2DBackpropInput"
  67893. }
  67894. },
  67895. {
  67896. "ph": "X",
  67897. "cat": "Op",
  67898. "name": "Conv2DBackpropInput",
  67899. "pid": 25,
  67900. "tid": 0,
  67901. "ts": 1539815917089550,
  67902. "dur": 4,
  67903. "args": {
  67904. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  67905. "op": "Conv2DBackpropInput"
  67906. }
  67907. },
  67908. {
  67909. "ph": "X",
  67910. "cat": "Op",
  67911. "name": "Conv2DBackpropInput",
  67912. "pid": 25,
  67913. "tid": 0,
  67914. "ts": 1539815917089561,
  67915. "dur": 3,
  67916. "args": {
  67917. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  67918. "op": "Conv2DBackpropInput"
  67919. }
  67920. },
  67921. {
  67922. "ph": "X",
  67923. "cat": "Op",
  67924. "name": "Conv2DBackpropInput",
  67925. "pid": 25,
  67926. "tid": 0,
  67927. "ts": 1539815917089572,
  67928. "dur": 2960,
  67929. "args": {
  67930. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  67931. "op": "Conv2DBackpropInput"
  67932. }
  67933. },
  67934. {
  67935. "ph": "X",
  67936. "cat": "Op",
  67937. "name": "Conv2DBackpropInput",
  67938. "pid": 25,
  67939. "tid": 0,
  67940. "ts": 1539815917092584,
  67941. "dur": 15,
  67942. "args": {
  67943. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  67944. "op": "Conv2DBackpropInput"
  67945. }
  67946. },
  67947. {
  67948. "ph": "X",
  67949. "cat": "Op",
  67950. "name": "Conv2DBackpropInput",
  67951. "pid": 25,
  67952. "tid": 0,
  67953. "ts": 1539815917092793,
  67954. "dur": 4,
  67955. "args": {
  67956. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  67957. "op": "Conv2DBackpropInput"
  67958. }
  67959. },
  67960. {
  67961. "ph": "X",
  67962. "cat": "Op",
  67963. "name": "Conv2DBackpropInput",
  67964. "pid": 25,
  67965. "tid": 0,
  67966. "ts": 1539815917092801,
  67967. "dur": 345,
  67968. "args": {
  67969. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  67970. "op": "Conv2DBackpropInput"
  67971. }
  67972. },
  67973. {
  67974. "ph": "X",
  67975. "cat": "Op",
  67976. "name": "Conv2DBackpropInput",
  67977. "pid": 25,
  67978. "tid": 0,
  67979. "ts": 1539815917093149,
  67980. "dur": 19,
  67981. "args": {
  67982. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  67983. "op": "Conv2DBackpropInput"
  67984. }
  67985. },
  67986. {
  67987. "ph": "X",
  67988. "cat": "Op",
  67989. "name": "Conv2DBackpropInput",
  67990. "pid": 25,
  67991. "tid": 0,
  67992. "ts": 1539815917093215,
  67993. "dur": 15,
  67994. "args": {
  67995. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  67996. "op": "Conv2DBackpropInput"
  67997. }
  67998. },
  67999. {
  68000. "ph": "X",
  68001. "cat": "Op",
  68002. "name": "Conv2DBackpropInput",
  68003. "pid": 25,
  68004. "tid": 0,
  68005. "ts": 1539815917093425,
  68006. "dur": 4,
  68007. "args": {
  68008. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  68009. "op": "Conv2DBackpropInput"
  68010. }
  68011. },
  68012. {
  68013. "ph": "X",
  68014. "cat": "Op",
  68015. "name": "Conv2DBackpropInput",
  68016. "pid": 25,
  68017. "tid": 0,
  68018. "ts": 1539815917093433,
  68019. "dur": 342,
  68020. "args": {
  68021. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  68022. "op": "Conv2DBackpropInput"
  68023. }
  68024. },
  68025. {
  68026. "ph": "X",
  68027. "cat": "Op",
  68028. "name": "Conv2DBackpropInput",
  68029. "pid": 25,
  68030. "tid": 0,
  68031. "ts": 1539815917093778,
  68032. "dur": 18,
  68033. "args": {
  68034. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  68035. "op": "Conv2DBackpropInput"
  68036. }
  68037. },
  68038. {
  68039. "ph": "X",
  68040. "cat": "Op",
  68041. "name": "Conv2DBackpropInput",
  68042. "pid": 25,
  68043. "tid": 0,
  68044. "ts": 1539815917093848,
  68045. "dur": 15,
  68046. "args": {
  68047. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  68048. "op": "Conv2DBackpropInput"
  68049. }
  68050. },
  68051. {
  68052. "ph": "X",
  68053. "cat": "Op",
  68054. "name": "Conv2DBackpropInput",
  68055. "pid": 25,
  68056. "tid": 0,
  68057. "ts": 1539815917094412,
  68058. "dur": 15,
  68059. "args": {
  68060. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  68061. "op": "Conv2DBackpropInput"
  68062. }
  68063. },
  68064. {
  68065. "ph": "X",
  68066. "cat": "Op",
  68067. "name": "Conv2DBackpropInput",
  68068. "pid": 25,
  68069. "tid": 0,
  68070. "ts": 1539815917094992,
  68071. "dur": 933,
  68072. "args": {
  68073. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  68074. "op": "Conv2DBackpropInput"
  68075. }
  68076. },
  68077. {
  68078. "ph": "X",
  68079. "cat": "Op",
  68080. "name": "Conv2DBackpropInput",
  68081. "pid": 25,
  68082. "tid": 0,
  68083. "ts": 1539815917095929,
  68084. "dur": 5,
  68085. "args": {
  68086. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  68087. "op": "Conv2DBackpropInput"
  68088. }
  68089. },
  68090. {
  68091. "ph": "X",
  68092. "cat": "Op",
  68093. "name": "Conv2DBackpropInput",
  68094. "pid": 25,
  68095. "tid": 0,
  68096. "ts": 1539815917095938,
  68097. "dur": 429,
  68098. "args": {
  68099. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  68100. "op": "Conv2DBackpropInput"
  68101. }
  68102. },
  68103. {
  68104. "ph": "X",
  68105. "cat": "Op",
  68106. "name": "Conv2DBackpropInput",
  68107. "pid": 25,
  68108. "tid": 0,
  68109. "ts": 1539815917096370,
  68110. "dur": 17,
  68111. "args": {
  68112. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  68113. "op": "Conv2DBackpropInput"
  68114. }
  68115. },
  68116. {
  68117. "ph": "X",
  68118. "cat": "Op",
  68119. "name": "Conv2DBackpropInput",
  68120. "pid": 25,
  68121. "tid": 0,
  68122. "ts": 1539815917096432,
  68123. "dur": 925,
  68124. "args": {
  68125. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  68126. "op": "Conv2DBackpropInput"
  68127. }
  68128. },
  68129. {
  68130. "ph": "X",
  68131. "cat": "Op",
  68132. "name": "Conv2DBackpropInput",
  68133. "pid": 25,
  68134. "tid": 0,
  68135. "ts": 1539815917097361,
  68136. "dur": 5,
  68137. "args": {
  68138. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  68139. "op": "Conv2DBackpropInput"
  68140. }
  68141. },
  68142. {
  68143. "ph": "X",
  68144. "cat": "Op",
  68145. "name": "Conv2DBackpropInput",
  68146. "pid": 25,
  68147. "tid": 0,
  68148. "ts": 1539815917097370,
  68149. "dur": 430,
  68150. "args": {
  68151. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  68152. "op": "Conv2DBackpropInput"
  68153. }
  68154. },
  68155. {
  68156. "ph": "X",
  68157. "cat": "Op",
  68158. "name": "Conv2DBackpropInput",
  68159. "pid": 25,
  68160. "tid": 0,
  68161. "ts": 1539815917097803,
  68162. "dur": 16,
  68163. "args": {
  68164. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  68165. "op": "Conv2DBackpropInput"
  68166. }
  68167. },
  68168. {
  68169. "ph": "X",
  68170. "cat": "Op",
  68171. "name": "Conv2DBackpropInput",
  68172. "pid": 25,
  68173. "tid": 0,
  68174. "ts": 1539815917097854,
  68175. "dur": 5,
  68176. "args": {
  68177. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  68178. "op": "Conv2DBackpropInput"
  68179. }
  68180. },
  68181. {
  68182. "ph": "X",
  68183. "cat": "Op",
  68184. "name": "Conv2DBackpropInput",
  68185. "pid": 25,
  68186. "tid": 0,
  68187. "ts": 1539815917097878,
  68188. "dur": 215,
  68189. "args": {
  68190. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  68191. "op": "Conv2DBackpropInput"
  68192. }
  68193. },
  68194. {
  68195. "ph": "X",
  68196. "cat": "Op",
  68197. "name": "FusedBatchNormGrad",
  68198. "pid": 25,
  68199. "tid": 0,
  68200. "ts": 1539815917098096,
  68201. "dur": 3,
  68202. "args": {
  68203. "name": "tower_1/training/TFOptimizer/gradients/tower_1/batch_normalization/FusedBatchNorm_grad/FusedBatchNormGrad",
  68204. "op": "FusedBatchNormGrad"
  68205. }
  68206. },
  68207. {
  68208. "ph": "X",
  68209. "cat": "Op",
  68210. "name": "FusedBatchNormGrad",
  68211. "pid": 25,
  68212. "tid": 0,
  68213. "ts": 1539815917098102,
  68214. "dur": 3,
  68215. "args": {
  68216. "name": "tower_1/training/TFOptimizer/gradients/tower_1/batch_normalization/FusedBatchNorm_grad/FusedBatchNormGrad",
  68217. "op": "FusedBatchNormGrad"
  68218. }
  68219. },
  68220. {
  68221. "ph": "X",
  68222. "cat": "Op",
  68223. "name": "FusedBatchNormGrad",
  68224. "pid": 25,
  68225. "tid": 0,
  68226. "ts": 1539815917098109,
  68227. "dur": 155,
  68228. "args": {
  68229. "name": "tower_1/training/TFOptimizer/gradients/tower_1/batch_normalization/FusedBatchNorm_grad/FusedBatchNormGrad",
  68230. "op": "FusedBatchNormGrad"
  68231. }
  68232. },
  68233. {
  68234. "ph": "X",
  68235. "cat": "Op",
  68236. "name": "ConcatV2",
  68237. "pid": 25,
  68238. "tid": 0,
  68239. "ts": 1539815917098285,
  68240. "dur": 51,
  68241. "args": {
  68242. "name": "training/TFOptimizer/concat_1",
  68243. "op": "ConcatV2"
  68244. }
  68245. },
  68246. {
  68247. "ph": "X",
  68248. "cat": "Op",
  68249. "name": "SplitV",
  68250. "pid": 25,
  68251. "tid": 0,
  68252. "ts": 1539815917563941,
  68253. "dur": 4,
  68254. "args": {
  68255. "name": "training/TFOptimizer/split_5",
  68256. "op": "SplitV"
  68257. }
  68258. },
  68259. {
  68260. "ph": "X",
  68261. "cat": "Op",
  68262. "name": "SplitV",
  68263. "pid": 25,
  68264. "tid": 0,
  68265. "ts": 1539815917563965,
  68266. "dur": 3,
  68267. "args": {
  68268. "name": "training/TFOptimizer/split_5",
  68269. "op": "SplitV"
  68270. }
  68271. },
  68272. {
  68273. "ph": "X",
  68274. "cat": "Op",
  68275. "name": "SplitV",
  68276. "pid": 25,
  68277. "tid": 0,
  68278. "ts": 1539815917563982,
  68279. "dur": 3,
  68280. "args": {
  68281. "name": "training/TFOptimizer/split_5",
  68282. "op": "SplitV"
  68283. }
  68284. },
  68285. {
  68286. "ph": "X",
  68287. "cat": "Op",
  68288. "name": "SplitV",
  68289. "pid": 25,
  68290. "tid": 0,
  68291. "ts": 1539815917563995,
  68292. "dur": 3,
  68293. "args": {
  68294. "name": "training/TFOptimizer/split_5",
  68295. "op": "SplitV"
  68296. }
  68297. },
  68298. {
  68299. "ph": "X",
  68300. "cat": "Op",
  68301. "name": "SplitV",
  68302. "pid": 25,
  68303. "tid": 0,
  68304. "ts": 1539815917564008,
  68305. "dur": 3,
  68306. "args": {
  68307. "name": "training/TFOptimizer/split_5",
  68308. "op": "SplitV"
  68309. }
  68310. },
  68311. {
  68312. "ph": "X",
  68313. "cat": "Op",
  68314. "name": "SplitV",
  68315. "pid": 25,
  68316. "tid": 0,
  68317. "ts": 1539815917564044,
  68318. "dur": 3,
  68319. "args": {
  68320. "name": "training/TFOptimizer/split_5",
  68321. "op": "SplitV"
  68322. }
  68323. },
  68324. {
  68325. "ph": "X",
  68326. "cat": "Op",
  68327. "name": "SplitV",
  68328. "pid": 25,
  68329. "tid": 0,
  68330. "ts": 1539815917564059,
  68331. "dur": 4,
  68332. "args": {
  68333. "name": "training/TFOptimizer/split_5",
  68334. "op": "SplitV"
  68335. }
  68336. },
  68337. {
  68338. "ph": "X",
  68339. "cat": "Op",
  68340. "name": "SplitV",
  68341. "pid": 25,
  68342. "tid": 0,
  68343. "ts": 1539815917564070,
  68344. "dur": 3,
  68345. "args": {
  68346. "name": "training/TFOptimizer/split_5",
  68347. "op": "SplitV"
  68348. }
  68349. },
  68350. {
  68351. "ph": "X",
  68352. "cat": "Op",
  68353. "name": "SplitV",
  68354. "pid": 25,
  68355. "tid": 0,
  68356. "ts": 1539815917564104,
  68357. "dur": 3,
  68358. "args": {
  68359. "name": "training/TFOptimizer/split_5",
  68360. "op": "SplitV"
  68361. }
  68362. },
  68363. {
  68364. "ph": "X",
  68365. "cat": "Op",
  68366. "name": "SplitV",
  68367. "pid": 25,
  68368. "tid": 0,
  68369. "ts": 1539815917564114,
  68370. "dur": 3,
  68371. "args": {
  68372. "name": "training/TFOptimizer/split_5",
  68373. "op": "SplitV"
  68374. }
  68375. },
  68376. {
  68377. "ph": "X",
  68378. "cat": "Op",
  68379. "name": "SplitV",
  68380. "pid": 25,
  68381. "tid": 0,
  68382. "ts": 1539815917564125,
  68383. "dur": 12,
  68384. "args": {
  68385. "name": "training/TFOptimizer/split_5",
  68386. "op": "SplitV"
  68387. }
  68388. },
  68389. {
  68390. "ph": "X",
  68391. "cat": "Op",
  68392. "name": "SplitV",
  68393. "pid": 25,
  68394. "tid": 0,
  68395. "ts": 1539815917564141,
  68396. "dur": 4,
  68397. "args": {
  68398. "name": "training/TFOptimizer/split_5",
  68399. "op": "SplitV"
  68400. }
  68401. },
  68402. {
  68403. "ph": "X",
  68404. "cat": "Op",
  68405. "name": "SplitV",
  68406. "pid": 25,
  68407. "tid": 0,
  68408. "ts": 1539815917564162,
  68409. "dur": 9,
  68410. "args": {
  68411. "name": "training/TFOptimizer/split_5",
  68412. "op": "SplitV"
  68413. }
  68414. },
  68415. {
  68416. "ph": "X",
  68417. "cat": "Op",
  68418. "name": "SplitV",
  68419. "pid": 25,
  68420. "tid": 0,
  68421. "ts": 1539815917564175,
  68422. "dur": 4,
  68423. "args": {
  68424. "name": "training/TFOptimizer/split_5",
  68425. "op": "SplitV"
  68426. }
  68427. },
  68428. {
  68429. "ph": "X",
  68430. "cat": "Op",
  68431. "name": "SplitV",
  68432. "pid": 25,
  68433. "tid": 0,
  68434. "ts": 1539815917564187,
  68435. "dur": 3,
  68436. "args": {
  68437. "name": "training/TFOptimizer/split_5",
  68438. "op": "SplitV"
  68439. }
  68440. },
  68441. {
  68442. "ph": "X",
  68443. "cat": "Op",
  68444. "name": "SplitV",
  68445. "pid": 25,
  68446. "tid": 0,
  68447. "ts": 1539815917564197,
  68448. "dur": 3,
  68449. "args": {
  68450. "name": "training/TFOptimizer/split_5",
  68451. "op": "SplitV"
  68452. }
  68453. },
  68454. {
  68455. "ph": "X",
  68456. "cat": "Op",
  68457. "name": "ResourceApplyAdam",
  68458. "pid": 25,
  68459. "tid": 0,
  68460. "ts": 1539815917568289,
  68461. "dur": 4,
  68462. "args": {
  68463. "name": "training/TFOptimizer/Adam/update_1/update_batch_normalization/gamma/replica_1/ResourceApplyAdam",
  68464. "op": "ResourceApplyAdam"
  68465. }
  68466. },
  68467. {
  68468. "ph": "X",
  68469. "cat": "Op",
  68470. "name": "ResourceApplyAdam",
  68471. "pid": 25,
  68472. "tid": 0,
  68473. "ts": 1539815917568306,
  68474. "dur": 5,
  68475. "args": {
  68476. "name": "training/TFOptimizer/Adam/update_1/update_batch_normalization/gamma/replica_1/ResourceApplyAdam",
  68477. "op": "ResourceApplyAdam"
  68478. }
  68479. },
  68480. {
  68481. "ph": "X",
  68482. "cat": "Op",
  68483. "name": "ResourceApplyAdam",
  68484. "pid": 25,
  68485. "tid": 0,
  68486. "ts": 1539815917568329,
  68487. "dur": 6,
  68488. "args": {
  68489. "name": "training/TFOptimizer/Adam/update_1/update_batch_normalization/gamma/replica_1/ResourceApplyAdam",
  68490. "op": "ResourceApplyAdam"
  68491. }
  68492. },
  68493. {
  68494. "ph": "X",
  68495. "cat": "Op",
  68496. "name": "ResourceApplyAdam",
  68497. "pid": 25,
  68498. "tid": 0,
  68499. "ts": 1539815917568478,
  68500. "dur": 4,
  68501. "args": {
  68502. "name": "training/TFOptimizer/Adam/update_1_1/update_batch_normalization/beta/replica_1/ResourceApplyAdam",
  68503. "op": "ResourceApplyAdam"
  68504. }
  68505. },
  68506. {
  68507. "ph": "X",
  68508. "cat": "Op",
  68509. "name": "ResourceApplyAdam",
  68510. "pid": 25,
  68511. "tid": 0,
  68512. "ts": 1539815917568518,
  68513. "dur": 4,
  68514. "args": {
  68515. "name": "training/TFOptimizer/Adam/update_1_1/update_batch_normalization/beta/replica_1/ResourceApplyAdam",
  68516. "op": "ResourceApplyAdam"
  68517. }
  68518. },
  68519. {
  68520. "ph": "X",
  68521. "cat": "Op",
  68522. "name": "ResourceApplyAdam",
  68523. "pid": 25,
  68524. "tid": 0,
  68525. "ts": 1539815917568543,
  68526. "dur": 4,
  68527. "args": {
  68528. "name": "training/TFOptimizer/Adam/update_1_1/update_batch_normalization/beta/replica_1/ResourceApplyAdam",
  68529. "op": "ResourceApplyAdam"
  68530. }
  68531. },
  68532. {
  68533. "ph": "X",
  68534. "cat": "Op",
  68535. "name": "ResourceApplyAdam",
  68536. "pid": 25,
  68537. "tid": 0,
  68538. "ts": 1539815917568631,
  68539. "dur": 4,
  68540. "args": {
  68541. "name": "training/TFOptimizer/Adam/update_1_11/update_conv2d_2/bias/replica_1/ResourceApplyAdam",
  68542. "op": "ResourceApplyAdam"
  68543. }
  68544. },
  68545. {
  68546. "ph": "X",
  68547. "cat": "Op",
  68548. "name": "ResourceApplyAdam",
  68549. "pid": 25,
  68550. "tid": 0,
  68551. "ts": 1539815917568641,
  68552. "dur": 4,
  68553. "args": {
  68554. "name": "training/TFOptimizer/Adam/update_1_11/update_conv2d_2/bias/replica_1/ResourceApplyAdam",
  68555. "op": "ResourceApplyAdam"
  68556. }
  68557. },
  68558. {
  68559. "ph": "X",
  68560. "cat": "Op",
  68561. "name": "ResourceApplyAdam",
  68562. "pid": 25,
  68563. "tid": 0,
  68564. "ts": 1539815917568668,
  68565. "dur": 5,
  68566. "args": {
  68567. "name": "training/TFOptimizer/Adam/update_1_11/update_conv2d_2/bias/replica_1/ResourceApplyAdam",
  68568. "op": "ResourceApplyAdam"
  68569. }
  68570. },
  68571. {
  68572. "ph": "X",
  68573. "cat": "Op",
  68574. "name": "ResourceApplyAdam",
  68575. "pid": 25,
  68576. "tid": 0,
  68577. "ts": 1539815917568818,
  68578. "dur": 3,
  68579. "args": {
  68580. "name": "training/TFOptimizer/Adam/update_1_13/update_dense/bias/replica_1/ResourceApplyAdam",
  68581. "op": "ResourceApplyAdam"
  68582. }
  68583. },
  68584. {
  68585. "ph": "X",
  68586. "cat": "Op",
  68587. "name": "ResourceApplyAdam",
  68588. "pid": 25,
  68589. "tid": 0,
  68590. "ts": 1539815917568828,
  68591. "dur": 3,
  68592. "args": {
  68593. "name": "training/TFOptimizer/Adam/update_1_13/update_dense/bias/replica_1/ResourceApplyAdam",
  68594. "op": "ResourceApplyAdam"
  68595. }
  68596. },
  68597. {
  68598. "ph": "X",
  68599. "cat": "Op",
  68600. "name": "ResourceApplyAdam",
  68601. "pid": 25,
  68602. "tid": 0,
  68603. "ts": 1539815917568840,
  68604. "dur": 4,
  68605. "args": {
  68606. "name": "training/TFOptimizer/Adam/update_1_13/update_dense/bias/replica_1/ResourceApplyAdam",
  68607. "op": "ResourceApplyAdam"
  68608. }
  68609. },
  68610. {
  68611. "ph": "X",
  68612. "cat": "Op",
  68613. "name": "ResourceApplyAdam",
  68614. "pid": 25,
  68615. "tid": 0,
  68616. "ts": 1539815917568943,
  68617. "dur": 3,
  68618. "args": {
  68619. "name": "training/TFOptimizer/Adam/update_1_15/update_dense_1/bias/replica_1/ResourceApplyAdam",
  68620. "op": "ResourceApplyAdam"
  68621. }
  68622. },
  68623. {
  68624. "ph": "X",
  68625. "cat": "Op",
  68626. "name": "ResourceApplyAdam",
  68627. "pid": 25,
  68628. "tid": 0,
  68629. "ts": 1539815917568953,
  68630. "dur": 4,
  68631. "args": {
  68632. "name": "training/TFOptimizer/Adam/update_1_15/update_dense_1/bias/replica_1/ResourceApplyAdam",
  68633. "op": "ResourceApplyAdam"
  68634. }
  68635. },
  68636. {
  68637. "ph": "X",
  68638. "cat": "Op",
  68639. "name": "ResourceApplyAdam",
  68640. "pid": 25,
  68641. "tid": 0,
  68642. "ts": 1539815917568971,
  68643. "dur": 5,
  68644. "args": {
  68645. "name": "training/TFOptimizer/Adam/update_1_15/update_dense_1/bias/replica_1/ResourceApplyAdam",
  68646. "op": "ResourceApplyAdam"
  68647. }
  68648. },
  68649. {
  68650. "ph": "X",
  68651. "cat": "Op",
  68652. "name": "ResourceApplyAdam",
  68653. "pid": 25,
  68654. "tid": 0,
  68655. "ts": 1539815917569069,
  68656. "dur": 3,
  68657. "args": {
  68658. "name": "training/TFOptimizer/Adam/update_1_3/update_conv2d/bias/replica_1/ResourceApplyAdam",
  68659. "op": "ResourceApplyAdam"
  68660. }
  68661. },
  68662. {
  68663. "ph": "X",
  68664. "cat": "Op",
  68665. "name": "ResourceApplyAdam",
  68666. "pid": 25,
  68667. "tid": 0,
  68668. "ts": 1539815917569079,
  68669. "dur": 4,
  68670. "args": {
  68671. "name": "training/TFOptimizer/Adam/update_1_3/update_conv2d/bias/replica_1/ResourceApplyAdam",
  68672. "op": "ResourceApplyAdam"
  68673. }
  68674. },
  68675. {
  68676. "ph": "X",
  68677. "cat": "Op",
  68678. "name": "ResourceApplyAdam",
  68679. "pid": 25,
  68680. "tid": 0,
  68681. "ts": 1539815917569106,
  68682. "dur": 4,
  68683. "args": {
  68684. "name": "training/TFOptimizer/Adam/update_1_3/update_conv2d/bias/replica_1/ResourceApplyAdam",
  68685. "op": "ResourceApplyAdam"
  68686. }
  68687. },
  68688. {
  68689. "ph": "X",
  68690. "cat": "Op",
  68691. "name": "ResourceApplyAdam",
  68692. "pid": 25,
  68693. "tid": 0,
  68694. "ts": 1539815917569217,
  68695. "dur": 4,
  68696. "args": {
  68697. "name": "training/TFOptimizer/Adam/update_1_4/update_batch_normalization_1/gamma/replica_1/ResourceApplyAdam",
  68698. "op": "ResourceApplyAdam"
  68699. }
  68700. },
  68701. {
  68702. "ph": "X",
  68703. "cat": "Op",
  68704. "name": "ResourceApplyAdam",
  68705. "pid": 25,
  68706. "tid": 0,
  68707. "ts": 1539815917569229,
  68708. "dur": 4,
  68709. "args": {
  68710. "name": "training/TFOptimizer/Adam/update_1_4/update_batch_normalization_1/gamma/replica_1/ResourceApplyAdam",
  68711. "op": "ResourceApplyAdam"
  68712. }
  68713. },
  68714. {
  68715. "ph": "X",
  68716. "cat": "Op",
  68717. "name": "ResourceApplyAdam",
  68718. "pid": 25,
  68719. "tid": 0,
  68720. "ts": 1539815917569247,
  68721. "dur": 5,
  68722. "args": {
  68723. "name": "training/TFOptimizer/Adam/update_1_4/update_batch_normalization_1/gamma/replica_1/ResourceApplyAdam",
  68724. "op": "ResourceApplyAdam"
  68725. }
  68726. },
  68727. {
  68728. "ph": "X",
  68729. "cat": "Op",
  68730. "name": "ResourceApplyAdam",
  68731. "pid": 25,
  68732. "tid": 0,
  68733. "ts": 1539815917569343,
  68734. "dur": 3,
  68735. "args": {
  68736. "name": "training/TFOptimizer/Adam/update_1_5/update_batch_normalization_1/beta/replica_1/ResourceApplyAdam",
  68737. "op": "ResourceApplyAdam"
  68738. }
  68739. },
  68740. {
  68741. "ph": "X",
  68742. "cat": "Op",
  68743. "name": "ResourceApplyAdam",
  68744. "pid": 25,
  68745. "tid": 0,
  68746. "ts": 1539815917569408,
  68747. "dur": 4,
  68748. "args": {
  68749. "name": "training/TFOptimizer/Adam/update_1_5/update_batch_normalization_1/beta/replica_1/ResourceApplyAdam",
  68750. "op": "ResourceApplyAdam"
  68751. }
  68752. },
  68753. {
  68754. "ph": "X",
  68755. "cat": "Op",
  68756. "name": "ResourceApplyAdam",
  68757. "pid": 25,
  68758. "tid": 0,
  68759. "ts": 1539815917569466,
  68760. "dur": 5,
  68761. "args": {
  68762. "name": "training/TFOptimizer/Adam/update_1_5/update_batch_normalization_1/beta/replica_1/ResourceApplyAdam",
  68763. "op": "ResourceApplyAdam"
  68764. }
  68765. },
  68766. {
  68767. "ph": "X",
  68768. "cat": "Op",
  68769. "name": "ResourceApplyAdam",
  68770. "pid": 25,
  68771. "tid": 0,
  68772. "ts": 1539815917569577,
  68773. "dur": 4,
  68774. "args": {
  68775. "name": "training/TFOptimizer/Adam/update_1_7/update_conv2d_1/bias/replica_1/ResourceApplyAdam",
  68776. "op": "ResourceApplyAdam"
  68777. }
  68778. },
  68779. {
  68780. "ph": "X",
  68781. "cat": "Op",
  68782. "name": "ResourceApplyAdam",
  68783. "pid": 25,
  68784. "tid": 0,
  68785. "ts": 1539815917569587,
  68786. "dur": 4,
  68787. "args": {
  68788. "name": "training/TFOptimizer/Adam/update_1_7/update_conv2d_1/bias/replica_1/ResourceApplyAdam",
  68789. "op": "ResourceApplyAdam"
  68790. }
  68791. },
  68792. {
  68793. "ph": "X",
  68794. "cat": "Op",
  68795. "name": "ResourceApplyAdam",
  68796. "pid": 25,
  68797. "tid": 0,
  68798. "ts": 1539815917569613,
  68799. "dur": 5,
  68800. "args": {
  68801. "name": "training/TFOptimizer/Adam/update_1_7/update_conv2d_1/bias/replica_1/ResourceApplyAdam",
  68802. "op": "ResourceApplyAdam"
  68803. }
  68804. },
  68805. {
  68806. "ph": "X",
  68807. "cat": "Op",
  68808. "name": "ResourceApplyAdam",
  68809. "pid": 25,
  68810. "tid": 0,
  68811. "ts": 1539815917569689,
  68812. "dur": 4,
  68813. "args": {
  68814. "name": "training/TFOptimizer/Adam/update_1_8/update_batch_normalization_2/gamma/replica_1/ResourceApplyAdam",
  68815. "op": "ResourceApplyAdam"
  68816. }
  68817. },
  68818. {
  68819. "ph": "X",
  68820. "cat": "Op",
  68821. "name": "ResourceApplyAdam",
  68822. "pid": 25,
  68823. "tid": 0,
  68824. "ts": 1539815917569700,
  68825. "dur": 3,
  68826. "args": {
  68827. "name": "training/TFOptimizer/Adam/update_1_8/update_batch_normalization_2/gamma/replica_1/ResourceApplyAdam",
  68828. "op": "ResourceApplyAdam"
  68829. }
  68830. },
  68831. {
  68832. "ph": "X",
  68833. "cat": "Op",
  68834. "name": "ResourceApplyAdam",
  68835. "pid": 25,
  68836. "tid": 0,
  68837. "ts": 1539815917569709,
  68838. "dur": 5,
  68839. "args": {
  68840. "name": "training/TFOptimizer/Adam/update_1_8/update_batch_normalization_2/gamma/replica_1/ResourceApplyAdam",
  68841. "op": "ResourceApplyAdam"
  68842. }
  68843. },
  68844. {
  68845. "ph": "X",
  68846. "cat": "Op",
  68847. "name": "ResourceApplyAdam",
  68848. "pid": 25,
  68849. "tid": 0,
  68850. "ts": 1539815917569786,
  68851. "dur": 4,
  68852. "args": {
  68853. "name": "training/TFOptimizer/Adam/update_1_9/update_batch_normalization_2/beta/replica_1/ResourceApplyAdam",
  68854. "op": "ResourceApplyAdam"
  68855. }
  68856. },
  68857. {
  68858. "ph": "X",
  68859. "cat": "Op",
  68860. "name": "ResourceApplyAdam",
  68861. "pid": 25,
  68862. "tid": 0,
  68863. "ts": 1539815917569797,
  68864. "dur": 4,
  68865. "args": {
  68866. "name": "training/TFOptimizer/Adam/update_1_9/update_batch_normalization_2/beta/replica_1/ResourceApplyAdam",
  68867. "op": "ResourceApplyAdam"
  68868. }
  68869. },
  68870. {
  68871. "ph": "X",
  68872. "cat": "Op",
  68873. "name": "ResourceApplyAdam",
  68874. "pid": 25,
  68875. "tid": 0,
  68876. "ts": 1539815917569805,
  68877. "dur": 5,
  68878. "args": {
  68879. "name": "training/TFOptimizer/Adam/update_1_9/update_batch_normalization_2/beta/replica_1/ResourceApplyAdam",
  68880. "op": "ResourceApplyAdam"
  68881. }
  68882. },
  68883. {
  68884. "ph": "X",
  68885. "cat": "Op",
  68886. "name": "ResourceApplyAdam",
  68887. "pid": 25,
  68888. "tid": 0,
  68889. "ts": 1539815917569885,
  68890. "dur": 16,
  68891. "args": {
  68892. "name": "training/TFOptimizer/Adam/update_1_10/update_conv2d_2/kernel/replica_1/ResourceApplyAdam",
  68893. "op": "ResourceApplyAdam"
  68894. }
  68895. },
  68896. {
  68897. "ph": "X",
  68898. "cat": "Op",
  68899. "name": "ResourceApplyAdam",
  68900. "pid": 25,
  68901. "tid": 0,
  68902. "ts": 1539815917569905,
  68903. "dur": 16,
  68904. "args": {
  68905. "name": "training/TFOptimizer/Adam/update_1_10/update_conv2d_2/kernel/replica_1/ResourceApplyAdam",
  68906. "op": "ResourceApplyAdam"
  68907. }
  68908. },
  68909. {
  68910. "ph": "X",
  68911. "cat": "Op",
  68912. "name": "ResourceApplyAdam",
  68913. "pid": 25,
  68914. "tid": 0,
  68915. "ts": 1539815917569924,
  68916. "dur": 20,
  68917. "args": {
  68918. "name": "training/TFOptimizer/Adam/update_1_10/update_conv2d_2/kernel/replica_1/ResourceApplyAdam",
  68919. "op": "ResourceApplyAdam"
  68920. }
  68921. },
  68922. {
  68923. "ph": "X",
  68924. "cat": "Op",
  68925. "name": "ResourceApplyAdam",
  68926. "pid": 25,
  68927. "tid": 0,
  68928. "ts": 1539815917570013,
  68929. "dur": 12,
  68930. "args": {
  68931. "name": "training/TFOptimizer/Adam/update_1_12/update_dense/kernel/replica_1/ResourceApplyAdam",
  68932. "op": "ResourceApplyAdam"
  68933. }
  68934. },
  68935. {
  68936. "ph": "X",
  68937. "cat": "Op",
  68938. "name": "ResourceApplyAdam",
  68939. "pid": 25,
  68940. "tid": 0,
  68941. "ts": 1539815917570035,
  68942. "dur": 10,
  68943. "args": {
  68944. "name": "training/TFOptimizer/Adam/update_1_12/update_dense/kernel/replica_1/ResourceApplyAdam",
  68945. "op": "ResourceApplyAdam"
  68946. }
  68947. },
  68948. {
  68949. "ph": "X",
  68950. "cat": "Op",
  68951. "name": "ResourceApplyAdam",
  68952. "pid": 25,
  68953. "tid": 0,
  68954. "ts": 1539815917570048,
  68955. "dur": 14,
  68956. "args": {
  68957. "name": "training/TFOptimizer/Adam/update_1_12/update_dense/kernel/replica_1/ResourceApplyAdam",
  68958. "op": "ResourceApplyAdam"
  68959. }
  68960. },
  68961. {
  68962. "ph": "X",
  68963. "cat": "Op",
  68964. "name": "ResourceApplyAdam",
  68965. "pid": 25,
  68966. "tid": 0,
  68967. "ts": 1539815917570131,
  68968. "dur": 5,
  68969. "args": {
  68970. "name": "training/TFOptimizer/Adam/update_1_14/update_dense_1/kernel/replica_1/ResourceApplyAdam",
  68971. "op": "ResourceApplyAdam"
  68972. }
  68973. },
  68974. {
  68975. "ph": "X",
  68976. "cat": "Op",
  68977. "name": "ResourceApplyAdam",
  68978. "pid": 25,
  68979. "tid": 0,
  68980. "ts": 1539815917570142,
  68981. "dur": 4,
  68982. "args": {
  68983. "name": "training/TFOptimizer/Adam/update_1_14/update_dense_1/kernel/replica_1/ResourceApplyAdam",
  68984. "op": "ResourceApplyAdam"
  68985. }
  68986. },
  68987. {
  68988. "ph": "X",
  68989. "cat": "Op",
  68990. "name": "ResourceApplyAdam",
  68991. "pid": 25,
  68992. "tid": 0,
  68993. "ts": 1539815917570150,
  68994. "dur": 6,
  68995. "args": {
  68996. "name": "training/TFOptimizer/Adam/update_1_14/update_dense_1/kernel/replica_1/ResourceApplyAdam",
  68997. "op": "ResourceApplyAdam"
  68998. }
  68999. },
  69000. {
  69001. "ph": "X",
  69002. "cat": "Op",
  69003. "name": "ResourceApplyAdam",
  69004. "pid": 25,
  69005. "tid": 0,
  69006. "ts": 1539815917570236,
  69007. "dur": 4,
  69008. "args": {
  69009. "name": "training/TFOptimizer/Adam/update_1_2/update_conv2d/kernel/replica_1/ResourceApplyAdam",
  69010. "op": "ResourceApplyAdam"
  69011. }
  69012. },
  69013. {
  69014. "ph": "X",
  69015. "cat": "Op",
  69016. "name": "ResourceApplyAdam",
  69017. "pid": 25,
  69018. "tid": 0,
  69019. "ts": 1539815917570248,
  69020. "dur": 3,
  69021. "args": {
  69022. "name": "training/TFOptimizer/Adam/update_1_2/update_conv2d/kernel/replica_1/ResourceApplyAdam",
  69023. "op": "ResourceApplyAdam"
  69024. }
  69025. },
  69026. {
  69027. "ph": "X",
  69028. "cat": "Op",
  69029. "name": "ResourceApplyAdam",
  69030. "pid": 25,
  69031. "tid": 0,
  69032. "ts": 1539815917570259,
  69033. "dur": 5,
  69034. "args": {
  69035. "name": "training/TFOptimizer/Adam/update_1_2/update_conv2d/kernel/replica_1/ResourceApplyAdam",
  69036. "op": "ResourceApplyAdam"
  69037. }
  69038. },
  69039. {
  69040. "ph": "X",
  69041. "cat": "Op",
  69042. "name": "ResourceApplyAdam",
  69043. "pid": 25,
  69044. "tid": 0,
  69045. "ts": 1539815917570344,
  69046. "dur": 6,
  69047. "args": {
  69048. "name": "training/TFOptimizer/Adam/update_1_6/update_conv2d_1/kernel/replica_1/ResourceApplyAdam",
  69049. "op": "ResourceApplyAdam"
  69050. }
  69051. },
  69052. {
  69053. "ph": "X",
  69054. "cat": "Op",
  69055. "name": "ResourceApplyAdam",
  69056. "pid": 25,
  69057. "tid": 0,
  69058. "ts": 1539815917570353,
  69059. "dur": 6,
  69060. "args": {
  69061. "name": "training/TFOptimizer/Adam/update_1_6/update_conv2d_1/kernel/replica_1/ResourceApplyAdam",
  69062. "op": "ResourceApplyAdam"
  69063. }
  69064. },
  69065. {
  69066. "ph": "X",
  69067. "cat": "Op",
  69068. "name": "ResourceApplyAdam",
  69069. "pid": 25,
  69070. "tid": 0,
  69071. "ts": 1539815917570364,
  69072. "dur": 7,
  69073. "args": {
  69074. "name": "training/TFOptimizer/Adam/update_1_6/update_conv2d_1/kernel/replica_1/ResourceApplyAdam",
  69075. "op": "ResourceApplyAdam"
  69076. }
  69077. },
  69078. {
  69079. "ph": "X",
  69080. "cat": "Op",
  69081. "name": "Mul",
  69082. "pid": 25,
  69083. "tid": 0,
  69084. "ts": 1539815917571207,
  69085. "dur": 4,
  69086. "args": {
  69087. "name": "training/TFOptimizer/Adam/update_1_16/mul",
  69088. "op": "Mul"
  69089. }
  69090. },
  69091. {
  69092. "ph": "X",
  69093. "cat": "Op",
  69094. "name": "Mul",
  69095. "pid": 25,
  69096. "tid": 0,
  69097. "ts": 1539815917571256,
  69098. "dur": 3,
  69099. "args": {
  69100. "name": "training/TFOptimizer/Adam/update_1_16/mul_1",
  69101. "op": "Mul"
  69102. }
  69103. },
  69104. {
  69105. "ph": "X",
  69106. "cat": "Op",
  69107. "name": "AssignAddVariableOp",
  69108. "pid": 25,
  69109. "tid": 0,
  69110. "ts": 1539815917571533,
  69111. "dur": 3,
  69112. "args": {
  69113. "name": "training/TFOptimizer/Adam/update_1_17/AssignAddVariableOp",
  69114. "op": "AssignAddVariableOp"
  69115. }
  69116. },
  69117. {
  69118. "ph": "X",
  69119. "cat": "Op",
  69120. "name": "AssignSubVariableOp",
  69121. "pid": 25,
  69122. "tid": 1,
  69123. "ts": 1539815916913143,
  69124. "dur": 1,
  69125. "args": {
  69126. "name": "tower_1/batch_normalization/AssignMovingAvg/AssignSubVariableOp",
  69127. "op": "AssignSubVariableOp"
  69128. }
  69129. },
  69130. {
  69131. "ph": "X",
  69132. "cat": "Op",
  69133. "name": "AssignSubVariableOp",
  69134. "pid": 25,
  69135. "tid": 1,
  69136. "ts": 1539815916913254,
  69137. "dur": 2,
  69138. "args": {
  69139. "name": "tower_1/batch_normalization/AssignMovingAvg_1/AssignSubVariableOp",
  69140. "op": "AssignSubVariableOp"
  69141. }
  69142. },
  69143. {
  69144. "ph": "X",
  69145. "cat": "Op",
  69146. "name": "AssignSubVariableOp",
  69147. "pid": 25,
  69148. "tid": 1,
  69149. "ts": 1539815916939798,
  69150. "dur": 1,
  69151. "args": {
  69152. "name": "tower_1/batch_normalization_1/AssignMovingAvg/AssignSubVariableOp",
  69153. "op": "AssignSubVariableOp"
  69154. }
  69155. },
  69156. {
  69157. "ph": "X",
  69158. "cat": "Op",
  69159. "name": "AssignSubVariableOp",
  69160. "pid": 25,
  69161. "tid": 1,
  69162. "ts": 1539815916939809,
  69163. "dur": 1,
  69164. "args": {
  69165. "name": "tower_1/batch_normalization_1/AssignMovingAvg_1/AssignSubVariableOp",
  69166. "op": "AssignSubVariableOp"
  69167. }
  69168. },
  69169. {
  69170. "ph": "X",
  69171. "cat": "Op",
  69172. "name": "AssignSubVariableOp",
  69173. "pid": 25,
  69174. "tid": 1,
  69175. "ts": 1539815916965478,
  69176. "dur": 1,
  69177. "args": {
  69178. "name": "tower_1/batch_normalization_2/AssignMovingAvg/AssignSubVariableOp",
  69179. "op": "AssignSubVariableOp"
  69180. }
  69181. },
  69182. {
  69183. "ph": "X",
  69184. "cat": "Op",
  69185. "name": "AssignSubVariableOp",
  69186. "pid": 25,
  69187. "tid": 1,
  69188. "ts": 1539815916965489,
  69189. "dur": 1,
  69190. "args": {
  69191. "name": "tower_1/batch_normalization_2/AssignMovingAvg_1/AssignSubVariableOp",
  69192. "op": "AssignSubVariableOp"
  69193. }
  69194. },
  69195. {
  69196. "ph": "X",
  69197. "cat": "Op",
  69198. "name": "ConcatV2",
  69199. "pid": 25,
  69200. "tid": 1,
  69201. "ts": 1539815917098270,
  69202. "dur": 3,
  69203. "args": {
  69204. "name": "training/TFOptimizer/concat_1",
  69205. "op": "ConcatV2"
  69206. }
  69207. },
  69208. {
  69209. "ph": "X",
  69210. "cat": "Op",
  69211. "name": "ConcatV2",
  69212. "pid": 25,
  69213. "tid": 1,
  69214. "ts": 1539815917098277,
  69215. "dur": 2,
  69216. "args": {
  69217. "name": "training/TFOptimizer/concat_1",
  69218. "op": "ConcatV2"
  69219. }
  69220. },
  69221. {
  69222. "ph": "X",
  69223. "cat": "Op",
  69224. "name": "ResourceApplyAdam",
  69225. "pid": 25,
  69226. "tid": 1,
  69227. "ts": 1539815917568196,
  69228. "dur": 2,
  69229. "args": {
  69230. "name": "training/TFOptimizer/Adam/update_1/update_batch_normalization/gamma/replica_1/ResourceApplyAdam",
  69231. "op": "ResourceApplyAdam"
  69232. }
  69233. },
  69234. {
  69235. "ph": "X",
  69236. "cat": "Op",
  69237. "name": "ResourceApplyAdam",
  69238. "pid": 25,
  69239. "tid": 1,
  69240. "ts": 1539815917568243,
  69241. "dur": 2,
  69242. "args": {
  69243. "name": "training/TFOptimizer/Adam/update_1/update_batch_normalization/gamma/replica_1/ResourceApplyAdam",
  69244. "op": "ResourceApplyAdam"
  69245. }
  69246. },
  69247. {
  69248. "ph": "X",
  69249. "cat": "Op",
  69250. "name": "ResourceApplyAdam",
  69251. "pid": 25,
  69252. "tid": 1,
  69253. "ts": 1539815917568433,
  69254. "dur": 1,
  69255. "args": {
  69256. "name": "training/TFOptimizer/Adam/update_1_1/update_batch_normalization/beta/replica_1/ResourceApplyAdam",
  69257. "op": "ResourceApplyAdam"
  69258. }
  69259. },
  69260. {
  69261. "ph": "X",
  69262. "cat": "Op",
  69263. "name": "ResourceApplyAdam",
  69264. "pid": 25,
  69265. "tid": 1,
  69266. "ts": 1539815917568453,
  69267. "dur": 1,
  69268. "args": {
  69269. "name": "training/TFOptimizer/Adam/update_1_1/update_batch_normalization/beta/replica_1/ResourceApplyAdam",
  69270. "op": "ResourceApplyAdam"
  69271. }
  69272. },
  69273. {
  69274. "ph": "X",
  69275. "cat": "Op",
  69276. "name": "ResourceApplyAdam",
  69277. "pid": 25,
  69278. "tid": 1,
  69279. "ts": 1539815917568598,
  69280. "dur": 2,
  69281. "args": {
  69282. "name": "training/TFOptimizer/Adam/update_1_11/update_conv2d_2/bias/replica_1/ResourceApplyAdam",
  69283. "op": "ResourceApplyAdam"
  69284. }
  69285. },
  69286. {
  69287. "ph": "X",
  69288. "cat": "Op",
  69289. "name": "ResourceApplyAdam",
  69290. "pid": 25,
  69291. "tid": 1,
  69292. "ts": 1539815917568617,
  69293. "dur": 1,
  69294. "args": {
  69295. "name": "training/TFOptimizer/Adam/update_1_11/update_conv2d_2/bias/replica_1/ResourceApplyAdam",
  69296. "op": "ResourceApplyAdam"
  69297. }
  69298. },
  69299. {
  69300. "ph": "X",
  69301. "cat": "Op",
  69302. "name": "ResourceApplyAdam",
  69303. "pid": 25,
  69304. "tid": 1,
  69305. "ts": 1539815917568783,
  69306. "dur": 2,
  69307. "args": {
  69308. "name": "training/TFOptimizer/Adam/update_1_13/update_dense/bias/replica_1/ResourceApplyAdam",
  69309. "op": "ResourceApplyAdam"
  69310. }
  69311. },
  69312. {
  69313. "ph": "X",
  69314. "cat": "Op",
  69315. "name": "ResourceApplyAdam",
  69316. "pid": 25,
  69317. "tid": 1,
  69318. "ts": 1539815917568804,
  69319. "dur": 1,
  69320. "args": {
  69321. "name": "training/TFOptimizer/Adam/update_1_13/update_dense/bias/replica_1/ResourceApplyAdam",
  69322. "op": "ResourceApplyAdam"
  69323. }
  69324. },
  69325. {
  69326. "ph": "X",
  69327. "cat": "Op",
  69328. "name": "ResourceApplyAdam",
  69329. "pid": 25,
  69330. "tid": 1,
  69331. "ts": 1539815917568879,
  69332. "dur": 1,
  69333. "args": {
  69334. "name": "training/TFOptimizer/Adam/update_1_15/update_dense_1/bias/replica_1/ResourceApplyAdam",
  69335. "op": "ResourceApplyAdam"
  69336. }
  69337. },
  69338. {
  69339. "ph": "X",
  69340. "cat": "Op",
  69341. "name": "ResourceApplyAdam",
  69342. "pid": 25,
  69343. "tid": 1,
  69344. "ts": 1539815917568914,
  69345. "dur": 1,
  69346. "args": {
  69347. "name": "training/TFOptimizer/Adam/update_1_15/update_dense_1/bias/replica_1/ResourceApplyAdam",
  69348. "op": "ResourceApplyAdam"
  69349. }
  69350. },
  69351. {
  69352. "ph": "X",
  69353. "cat": "Op",
  69354. "name": "ResourceApplyAdam",
  69355. "pid": 25,
  69356. "tid": 1,
  69357. "ts": 1539815917569032,
  69358. "dur": 1,
  69359. "args": {
  69360. "name": "training/TFOptimizer/Adam/update_1_3/update_conv2d/bias/replica_1/ResourceApplyAdam",
  69361. "op": "ResourceApplyAdam"
  69362. }
  69363. },
  69364. {
  69365. "ph": "X",
  69366. "cat": "Op",
  69367. "name": "ResourceApplyAdam",
  69368. "pid": 25,
  69369. "tid": 1,
  69370. "ts": 1539815917569051,
  69371. "dur": 1,
  69372. "args": {
  69373. "name": "training/TFOptimizer/Adam/update_1_3/update_conv2d/bias/replica_1/ResourceApplyAdam",
  69374. "op": "ResourceApplyAdam"
  69375. }
  69376. },
  69377. {
  69378. "ph": "X",
  69379. "cat": "Op",
  69380. "name": "ResourceApplyAdam",
  69381. "pid": 25,
  69382. "tid": 1,
  69383. "ts": 1539815917569166,
  69384. "dur": 2,
  69385. "args": {
  69386. "name": "training/TFOptimizer/Adam/update_1_4/update_batch_normalization_1/gamma/replica_1/ResourceApplyAdam",
  69387. "op": "ResourceApplyAdam"
  69388. }
  69389. },
  69390. {
  69391. "ph": "X",
  69392. "cat": "Op",
  69393. "name": "ResourceApplyAdam",
  69394. "pid": 25,
  69395. "tid": 1,
  69396. "ts": 1539815917569202,
  69397. "dur": 1,
  69398. "args": {
  69399. "name": "training/TFOptimizer/Adam/update_1_4/update_batch_normalization_1/gamma/replica_1/ResourceApplyAdam",
  69400. "op": "ResourceApplyAdam"
  69401. }
  69402. },
  69403. {
  69404. "ph": "X",
  69405. "cat": "Op",
  69406. "name": "ResourceApplyAdam",
  69407. "pid": 25,
  69408. "tid": 1,
  69409. "ts": 1539815917569302,
  69410. "dur": 2,
  69411. "args": {
  69412. "name": "training/TFOptimizer/Adam/update_1_5/update_batch_normalization_1/beta/replica_1/ResourceApplyAdam",
  69413. "op": "ResourceApplyAdam"
  69414. }
  69415. },
  69416. {
  69417. "ph": "X",
  69418. "cat": "Op",
  69419. "name": "ResourceApplyAdam",
  69420. "pid": 25,
  69421. "tid": 1,
  69422. "ts": 1539815917569329,
  69423. "dur": 1,
  69424. "args": {
  69425. "name": "training/TFOptimizer/Adam/update_1_5/update_batch_normalization_1/beta/replica_1/ResourceApplyAdam",
  69426. "op": "ResourceApplyAdam"
  69427. }
  69428. },
  69429. {
  69430. "ph": "X",
  69431. "cat": "Op",
  69432. "name": "ResourceApplyAdam",
  69433. "pid": 25,
  69434. "tid": 1,
  69435. "ts": 1539815917569531,
  69436. "dur": 2,
  69437. "args": {
  69438. "name": "training/TFOptimizer/Adam/update_1_7/update_conv2d_1/bias/replica_1/ResourceApplyAdam",
  69439. "op": "ResourceApplyAdam"
  69440. }
  69441. },
  69442. {
  69443. "ph": "X",
  69444. "cat": "Op",
  69445. "name": "ResourceApplyAdam",
  69446. "pid": 25,
  69447. "tid": 1,
  69448. "ts": 1539815917569551,
  69449. "dur": 1,
  69450. "args": {
  69451. "name": "training/TFOptimizer/Adam/update_1_7/update_conv2d_1/bias/replica_1/ResourceApplyAdam",
  69452. "op": "ResourceApplyAdam"
  69453. }
  69454. },
  69455. {
  69456. "ph": "X",
  69457. "cat": "Op",
  69458. "name": "ResourceApplyAdam",
  69459. "pid": 25,
  69460. "tid": 1,
  69461. "ts": 1539815917569659,
  69462. "dur": 1,
  69463. "args": {
  69464. "name": "training/TFOptimizer/Adam/update_1_8/update_batch_normalization_2/gamma/replica_1/ResourceApplyAdam",
  69465. "op": "ResourceApplyAdam"
  69466. }
  69467. },
  69468. {
  69469. "ph": "X",
  69470. "cat": "Op",
  69471. "name": "ResourceApplyAdam",
  69472. "pid": 25,
  69473. "tid": 1,
  69474. "ts": 1539815917569676,
  69475. "dur": 1,
  69476. "args": {
  69477. "name": "training/TFOptimizer/Adam/update_1_8/update_batch_normalization_2/gamma/replica_1/ResourceApplyAdam",
  69478. "op": "ResourceApplyAdam"
  69479. }
  69480. },
  69481. {
  69482. "ph": "X",
  69483. "cat": "Op",
  69484. "name": "ResourceApplyAdam",
  69485. "pid": 25,
  69486. "tid": 1,
  69487. "ts": 1539815917569755,
  69488. "dur": 1,
  69489. "args": {
  69490. "name": "training/TFOptimizer/Adam/update_1_9/update_batch_normalization_2/beta/replica_1/ResourceApplyAdam",
  69491. "op": "ResourceApplyAdam"
  69492. }
  69493. },
  69494. {
  69495. "ph": "X",
  69496. "cat": "Op",
  69497. "name": "ResourceApplyAdam",
  69498. "pid": 25,
  69499. "tid": 1,
  69500. "ts": 1539815917569772,
  69501. "dur": 2,
  69502. "args": {
  69503. "name": "training/TFOptimizer/Adam/update_1_9/update_batch_normalization_2/beta/replica_1/ResourceApplyAdam",
  69504. "op": "ResourceApplyAdam"
  69505. }
  69506. },
  69507. {
  69508. "ph": "X",
  69509. "cat": "Op",
  69510. "name": "ResourceApplyAdam",
  69511. "pid": 25,
  69512. "tid": 1,
  69513. "ts": 1539815917569851,
  69514. "dur": 1,
  69515. "args": {
  69516. "name": "training/TFOptimizer/Adam/update_1_10/update_conv2d_2/kernel/replica_1/ResourceApplyAdam",
  69517. "op": "ResourceApplyAdam"
  69518. }
  69519. },
  69520. {
  69521. "ph": "X",
  69522. "cat": "Op",
  69523. "name": "ResourceApplyAdam",
  69524. "pid": 25,
  69525. "tid": 1,
  69526. "ts": 1539815917569872,
  69527. "dur": 1,
  69528. "args": {
  69529. "name": "training/TFOptimizer/Adam/update_1_10/update_conv2d_2/kernel/replica_1/ResourceApplyAdam",
  69530. "op": "ResourceApplyAdam"
  69531. }
  69532. },
  69533. {
  69534. "ph": "X",
  69535. "cat": "Op",
  69536. "name": "ResourceApplyAdam",
  69537. "pid": 25,
  69538. "tid": 1,
  69539. "ts": 1539815917569951,
  69540. "dur": 1,
  69541. "args": {
  69542. "name": "training/TFOptimizer/Adam/update_1_12/update_dense/kernel/replica_1/ResourceApplyAdam",
  69543. "op": "ResourceApplyAdam"
  69544. }
  69545. },
  69546. {
  69547. "ph": "X",
  69548. "cat": "Op",
  69549. "name": "ResourceApplyAdam",
  69550. "pid": 25,
  69551. "tid": 1,
  69552. "ts": 1539815917569998,
  69553. "dur": 2,
  69554. "args": {
  69555. "name": "training/TFOptimizer/Adam/update_1_12/update_dense/kernel/replica_1/ResourceApplyAdam",
  69556. "op": "ResourceApplyAdam"
  69557. }
  69558. },
  69559. {
  69560. "ph": "X",
  69561. "cat": "Op",
  69562. "name": "ResourceApplyAdam",
  69563. "pid": 25,
  69564. "tid": 1,
  69565. "ts": 1539815917570100,
  69566. "dur": 1,
  69567. "args": {
  69568. "name": "training/TFOptimizer/Adam/update_1_14/update_dense_1/kernel/replica_1/ResourceApplyAdam",
  69569. "op": "ResourceApplyAdam"
  69570. }
  69571. },
  69572. {
  69573. "ph": "X",
  69574. "cat": "Op",
  69575. "name": "ResourceApplyAdam",
  69576. "pid": 25,
  69577. "tid": 1,
  69578. "ts": 1539815917570118,
  69579. "dur": 1,
  69580. "args": {
  69581. "name": "training/TFOptimizer/Adam/update_1_14/update_dense_1/kernel/replica_1/ResourceApplyAdam",
  69582. "op": "ResourceApplyAdam"
  69583. }
  69584. },
  69585. {
  69586. "ph": "X",
  69587. "cat": "Op",
  69588. "name": "ResourceApplyAdam",
  69589. "pid": 25,
  69590. "tid": 1,
  69591. "ts": 1539815917570196,
  69592. "dur": 1,
  69593. "args": {
  69594. "name": "training/TFOptimizer/Adam/update_1_2/update_conv2d/kernel/replica_1/ResourceApplyAdam",
  69595. "op": "ResourceApplyAdam"
  69596. }
  69597. },
  69598. {
  69599. "ph": "X",
  69600. "cat": "Op",
  69601. "name": "ResourceApplyAdam",
  69602. "pid": 25,
  69603. "tid": 1,
  69604. "ts": 1539815917570215,
  69605. "dur": 1,
  69606. "args": {
  69607. "name": "training/TFOptimizer/Adam/update_1_2/update_conv2d/kernel/replica_1/ResourceApplyAdam",
  69608. "op": "ResourceApplyAdam"
  69609. }
  69610. },
  69611. {
  69612. "ph": "X",
  69613. "cat": "Op",
  69614. "name": "ResourceApplyAdam",
  69615. "pid": 25,
  69616. "tid": 1,
  69617. "ts": 1539815917570305,
  69618. "dur": 2,
  69619. "args": {
  69620. "name": "training/TFOptimizer/Adam/update_1_6/update_conv2d_1/kernel/replica_1/ResourceApplyAdam",
  69621. "op": "ResourceApplyAdam"
  69622. }
  69623. },
  69624. {
  69625. "ph": "X",
  69626. "cat": "Op",
  69627. "name": "ResourceApplyAdam",
  69628. "pid": 25,
  69629. "tid": 1,
  69630. "ts": 1539815917570331,
  69631. "dur": 1,
  69632. "args": {
  69633. "name": "training/TFOptimizer/Adam/update_1_6/update_conv2d_1/kernel/replica_1/ResourceApplyAdam",
  69634. "op": "ResourceApplyAdam"
  69635. }
  69636. },
  69637. {
  69638. "ph": "X",
  69639. "cat": "Op",
  69640. "name": "AssignAddVariableOp",
  69641. "pid": 25,
  69642. "tid": 1,
  69643. "ts": 1539815917571507,
  69644. "dur": 2,
  69645. "args": {
  69646. "name": "training/TFOptimizer/Adam/update_1_17/AssignAddVariableOp",
  69647. "op": "AssignAddVariableOp"
  69648. }
  69649. },
  69650. {
  69651. "ph": "X",
  69652. "cat": "Op",
  69653. "name": "MEMCPYDtoH",
  69654. "pid": 27,
  69655. "tid": 0,
  69656. "ts": 1539815916982305,
  69657. "dur": 4,
  69658. "args": {
  69659. "name": "edge_1019_tower_3/loss/activation_1_loss/Mean",
  69660. "op": "MEMCPYDtoH"
  69661. }
  69662. },
  69663. {
  69664. "ph": "X",
  69665. "cat": "Op",
  69666. "name": "FusedBatchNorm",
  69667. "pid": 29,
  69668. "tid": 0,
  69669. "ts": 1539815916889289,
  69670. "dur": 2,
  69671. "args": {
  69672. "name": "tower_1/batch_normalization/FusedBatchNorm",
  69673. "op": "FusedBatchNorm"
  69674. }
  69675. },
  69676. {
  69677. "ph": "X",
  69678. "cat": "Op",
  69679. "name": "MEMCPYHtoD",
  69680. "pid": 29,
  69681. "tid": 0,
  69682. "ts": 1539815917559773,
  69683. "dur": 3,
  69684. "args": {
  69685. "name": "unknown",
  69686. "op": "MEMCPYHtoD"
  69687. }
  69688. },
  69689. {
  69690. "ph": "X",
  69691. "cat": "Op",
  69692. "name": "MEMCPYHtoD",
  69693. "pid": 29,
  69694. "tid": 0,
  69695. "ts": 1539815917559784,
  69696. "dur": 2,
  69697. "args": {
  69698. "name": "unknown",
  69699. "op": "MEMCPYHtoD"
  69700. }
  69701. },
  69702. {
  69703. "ph": "X",
  69704. "cat": "Op",
  69705. "name": "MEMCPYHtoD",
  69706. "pid": 29,
  69707. "tid": 0,
  69708. "ts": 1539815917559795,
  69709. "dur": 1,
  69710. "args": {
  69711. "name": "unknown",
  69712. "op": "MEMCPYHtoD"
  69713. }
  69714. },
  69715. {
  69716. "ph": "X",
  69717. "cat": "Op",
  69718. "name": "MEMCPYHtoD",
  69719. "pid": 29,
  69720. "tid": 0,
  69721. "ts": 1539815917559805,
  69722. "dur": 2,
  69723. "args": {
  69724. "name": "unknown",
  69725. "op": "MEMCPYHtoD"
  69726. }
  69727. },
  69728. {
  69729. "ph": "X",
  69730. "cat": "Op",
  69731. "name": "MEMCPYHtoD",
  69732. "pid": 29,
  69733. "tid": 0,
  69734. "ts": 1539815917559815,
  69735. "dur": 2,
  69736. "args": {
  69737. "name": "unknown",
  69738. "op": "MEMCPYHtoD"
  69739. }
  69740. },
  69741. {
  69742. "ph": "X",
  69743. "cat": "Op",
  69744. "name": "MEMCPYHtoD",
  69745. "pid": 29,
  69746. "tid": 0,
  69747. "ts": 1539815917559825,
  69748. "dur": 1,
  69749. "args": {
  69750. "name": "unknown",
  69751. "op": "MEMCPYHtoD"
  69752. }
  69753. },
  69754. {
  69755. "ph": "X",
  69756. "cat": "Op",
  69757. "name": "MEMCPYHtoD",
  69758. "pid": 29,
  69759. "tid": 0,
  69760. "ts": 1539815917559835,
  69761. "dur": 2,
  69762. "args": {
  69763. "name": "unknown",
  69764. "op": "MEMCPYHtoD"
  69765. }
  69766. },
  69767. {
  69768. "ph": "X",
  69769. "cat": "Op",
  69770. "name": "MEMCPYHtoD",
  69771. "pid": 29,
  69772. "tid": 0,
  69773. "ts": 1539815917559845,
  69774. "dur": 2,
  69775. "args": {
  69776. "name": "unknown",
  69777. "op": "MEMCPYHtoD"
  69778. }
  69779. },
  69780. {
  69781. "ph": "X",
  69782. "cat": "Op",
  69783. "name": "MEMCPYHtoD",
  69784. "pid": 29,
  69785. "tid": 0,
  69786. "ts": 1539815917559855,
  69787. "dur": 1,
  69788. "args": {
  69789. "name": "unknown",
  69790. "op": "MEMCPYHtoD"
  69791. }
  69792. },
  69793. {
  69794. "ph": "X",
  69795. "cat": "Op",
  69796. "name": "NoOp",
  69797. "pid": 31,
  69798. "tid": 0,
  69799. "ts": 1539815912098322,
  69800. "dur": 29,
  69801. "args": {
  69802. "name": "_SOURCE",
  69803. "op": "NoOp"
  69804. }
  69805. },
  69806. {
  69807. "ph": "X",
  69808. "cat": "Op",
  69809. "name": "VarHandleOp",
  69810. "pid": 31,
  69811. "tid": 0,
  69812. "ts": 1539815912098410,
  69813. "dur": 14,
  69814. "args": {
  69815. "name": "batch_normalization/moving_variance/replica_2",
  69816. "op": "VarHandleOp"
  69817. }
  69818. },
  69819. {
  69820. "ph": "X",
  69821. "cat": "Op",
  69822. "name": "VarHandleOp",
  69823. "pid": 31,
  69824. "tid": 0,
  69825. "ts": 1539815912098468,
  69826. "dur": 9,
  69827. "args": {
  69828. "name": "batch_normalization_1/moving_mean/replica_2",
  69829. "op": "VarHandleOp"
  69830. }
  69831. },
  69832. {
  69833. "ph": "X",
  69834. "cat": "Op",
  69835. "name": "VarHandleOp",
  69836. "pid": 31,
  69837. "tid": 0,
  69838. "ts": 1539815912098481,
  69839. "dur": 5,
  69840. "args": {
  69841. "name": "batch_normalization_1/moving_variance/replica_2",
  69842. "op": "VarHandleOp"
  69843. }
  69844. },
  69845. {
  69846. "ph": "X",
  69847. "cat": "Op",
  69848. "name": "VarHandleOp",
  69849. "pid": 31,
  69850. "tid": 0,
  69851. "ts": 1539815912098488,
  69852. "dur": 5,
  69853. "args": {
  69854. "name": "batch_normalization_2/moving_mean/replica_2",
  69855. "op": "VarHandleOp"
  69856. }
  69857. },
  69858. {
  69859. "ph": "X",
  69860. "cat": "Op",
  69861. "name": "VarHandleOp",
  69862. "pid": 31,
  69863. "tid": 0,
  69864. "ts": 1539815912098496,
  69865. "dur": 5,
  69866. "args": {
  69867. "name": "batch_normalization_2/moving_variance/replica_2",
  69868. "op": "VarHandleOp"
  69869. }
  69870. },
  69871. {
  69872. "ph": "X",
  69873. "cat": "Op",
  69874. "name": "Const",
  69875. "pid": 31,
  69876. "tid": 0,
  69877. "ts": 1539815912098503,
  69878. "dur": 6,
  69879. "args": {
  69880. "name": "tower_2/metrics/sparse_categorical_accuracy/Max/reduction_indices",
  69881. "op": "Const"
  69882. }
  69883. },
  69884. {
  69885. "ph": "X",
  69886. "cat": "Op",
  69887. "name": "Const",
  69888. "pid": 31,
  69889. "tid": 0,
  69890. "ts": 1539815912098511,
  69891. "dur": 17,
  69892. "args": {
  69893. "name": "tower_2/metrics/sparse_categorical_accuracy/Const",
  69894. "op": "Const"
  69895. }
  69896. },
  69897. {
  69898. "ph": "X",
  69899. "cat": "Op",
  69900. "name": "VarHandleOp",
  69901. "pid": 31,
  69902. "tid": 0,
  69903. "ts": 1539815912098531,
  69904. "dur": 5,
  69905. "args": {
  69906. "name": "global_step/replica_2",
  69907. "op": "VarHandleOp"
  69908. }
  69909. },
  69910. {
  69911. "ph": "X",
  69912. "cat": "Op",
  69913. "name": "VarHandleOp",
  69914. "pid": 31,
  69915. "tid": 0,
  69916. "ts": 1539815912098538,
  69917. "dur": 4,
  69918. "args": {
  69919. "name": "batch_normalization/gamma/Adam/replica_2",
  69920. "op": "VarHandleOp"
  69921. }
  69922. },
  69923. {
  69924. "ph": "X",
  69925. "cat": "Op",
  69926. "name": "VarHandleOp",
  69927. "pid": 31,
  69928. "tid": 0,
  69929. "ts": 1539815912098544,
  69930. "dur": 5,
  69931. "args": {
  69932. "name": "batch_normalization/gamma/Adam_1/replica_2",
  69933. "op": "VarHandleOp"
  69934. }
  69935. },
  69936. {
  69937. "ph": "X",
  69938. "cat": "Op",
  69939. "name": "VarHandleOp",
  69940. "pid": 31,
  69941. "tid": 0,
  69942. "ts": 1539815912098551,
  69943. "dur": 4,
  69944. "args": {
  69945. "name": "batch_normalization/beta/Adam/replica_2",
  69946. "op": "VarHandleOp"
  69947. }
  69948. },
  69949. {
  69950. "ph": "X",
  69951. "cat": "Op",
  69952. "name": "VarHandleOp",
  69953. "pid": 31,
  69954. "tid": 0,
  69955. "ts": 1539815912098557,
  69956. "dur": 5,
  69957. "args": {
  69958. "name": "batch_normalization/beta/Adam_1/replica_2",
  69959. "op": "VarHandleOp"
  69960. }
  69961. },
  69962. {
  69963. "ph": "X",
  69964. "cat": "Op",
  69965. "name": "VarHandleOp",
  69966. "pid": 31,
  69967. "tid": 0,
  69968. "ts": 1539815912098564,
  69969. "dur": 5,
  69970. "args": {
  69971. "name": "conv2d_2/kernel/Adam/replica_2",
  69972. "op": "VarHandleOp"
  69973. }
  69974. },
  69975. {
  69976. "ph": "X",
  69977. "cat": "Op",
  69978. "name": "VarHandleOp",
  69979. "pid": 31,
  69980. "tid": 0,
  69981. "ts": 1539815912098571,
  69982. "dur": 5,
  69983. "args": {
  69984. "name": "conv2d_2/kernel/Adam_1/replica_2",
  69985. "op": "VarHandleOp"
  69986. }
  69987. },
  69988. {
  69989. "ph": "X",
  69990. "cat": "Op",
  69991. "name": "Const",
  69992. "pid": 31,
  69993. "tid": 0,
  69994. "ts": 1539815912098577,
  69995. "dur": 6,
  69996. "args": {
  69997. "name": "training/TFOptimizer/Shape_42",
  69998. "op": "Const"
  69999. }
  70000. },
  70001. {
  70002. "ph": "X",
  70003. "cat": "Op",
  70004. "name": "VarHandleOp",
  70005. "pid": 31,
  70006. "tid": 0,
  70007. "ts": 1539815912098584,
  70008. "dur": 4,
  70009. "args": {
  70010. "name": "conv2d_2/bias/Adam/replica_2",
  70011. "op": "VarHandleOp"
  70012. }
  70013. },
  70014. {
  70015. "ph": "X",
  70016. "cat": "Op",
  70017. "name": "VarHandleOp",
  70018. "pid": 31,
  70019. "tid": 0,
  70020. "ts": 1539815912098594,
  70021. "dur": 5,
  70022. "args": {
  70023. "name": "conv2d_2/bias/Adam_1/replica_2",
  70024. "op": "VarHandleOp"
  70025. }
  70026. },
  70027. {
  70028. "ph": "X",
  70029. "cat": "Op",
  70030. "name": "VarHandleOp",
  70031. "pid": 31,
  70032. "tid": 0,
  70033. "ts": 1539815912098601,
  70034. "dur": 5,
  70035. "args": {
  70036. "name": "dense/kernel/Adam/replica_2",
  70037. "op": "VarHandleOp"
  70038. }
  70039. },
  70040. {
  70041. "ph": "X",
  70042. "cat": "Op",
  70043. "name": "VarHandleOp",
  70044. "pid": 31,
  70045. "tid": 0,
  70046. "ts": 1539815912098608,
  70047. "dur": 4,
  70048. "args": {
  70049. "name": "dense/kernel/Adam_1/replica_2",
  70050. "op": "VarHandleOp"
  70051. }
  70052. },
  70053. {
  70054. "ph": "X",
  70055. "cat": "Op",
  70056. "name": "Const",
  70057. "pid": 31,
  70058. "tid": 0,
  70059. "ts": 1539815912098614,
  70060. "dur": 8,
  70061. "args": {
  70062. "name": "training/TFOptimizer/Shape_44",
  70063. "op": "Const"
  70064. }
  70065. },
  70066. {
  70067. "ph": "X",
  70068. "cat": "Op",
  70069. "name": "VarHandleOp",
  70070. "pid": 31,
  70071. "tid": 0,
  70072. "ts": 1539815912098624,
  70073. "dur": 4,
  70074. "args": {
  70075. "name": "dense/bias/Adam/replica_2",
  70076. "op": "VarHandleOp"
  70077. }
  70078. },
  70079. {
  70080. "ph": "X",
  70081. "cat": "Op",
  70082. "name": "VarHandleOp",
  70083. "pid": 31,
  70084. "tid": 0,
  70085. "ts": 1539815912098630,
  70086. "dur": 4,
  70087. "args": {
  70088. "name": "dense/bias/Adam_1/replica_2",
  70089. "op": "VarHandleOp"
  70090. }
  70091. },
  70092. {
  70093. "ph": "X",
  70094. "cat": "Op",
  70095. "name": "VarHandleOp",
  70096. "pid": 31,
  70097. "tid": 0,
  70098. "ts": 1539815912098636,
  70099. "dur": 4,
  70100. "args": {
  70101. "name": "dense_1/kernel/Adam/replica_2",
  70102. "op": "VarHandleOp"
  70103. }
  70104. },
  70105. {
  70106. "ph": "X",
  70107. "cat": "Op",
  70108. "name": "VarHandleOp",
  70109. "pid": 31,
  70110. "tid": 0,
  70111. "ts": 1539815912098644,
  70112. "dur": 4,
  70113. "args": {
  70114. "name": "dense_1/kernel/Adam_1/replica_2",
  70115. "op": "VarHandleOp"
  70116. }
  70117. },
  70118. {
  70119. "ph": "X",
  70120. "cat": "Op",
  70121. "name": "Const",
  70122. "pid": 31,
  70123. "tid": 0,
  70124. "ts": 1539815912098650,
  70125. "dur": 5,
  70126. "args": {
  70127. "name": "training/TFOptimizer/Shape_46",
  70128. "op": "Const"
  70129. }
  70130. },
  70131. {
  70132. "ph": "X",
  70133. "cat": "Op",
  70134. "name": "VarHandleOp",
  70135. "pid": 31,
  70136. "tid": 0,
  70137. "ts": 1539815912098656,
  70138. "dur": 4,
  70139. "args": {
  70140. "name": "dense_1/bias/Adam/replica_2",
  70141. "op": "VarHandleOp"
  70142. }
  70143. },
  70144. {
  70145. "ph": "X",
  70146. "cat": "Op",
  70147. "name": "VarHandleOp",
  70148. "pid": 31,
  70149. "tid": 0,
  70150. "ts": 1539815912098664,
  70151. "dur": 5,
  70152. "args": {
  70153. "name": "dense_1/bias/Adam_1/replica_2",
  70154. "op": "VarHandleOp"
  70155. }
  70156. },
  70157. {
  70158. "ph": "X",
  70159. "cat": "Op",
  70160. "name": "VarHandleOp",
  70161. "pid": 31,
  70162. "tid": 0,
  70163. "ts": 1539815912098670,
  70164. "dur": 4,
  70165. "args": {
  70166. "name": "conv2d/kernel/Adam/replica_2",
  70167. "op": "VarHandleOp"
  70168. }
  70169. },
  70170. {
  70171. "ph": "X",
  70172. "cat": "Op",
  70173. "name": "VarHandleOp",
  70174. "pid": 31,
  70175. "tid": 0,
  70176. "ts": 1539815912098676,
  70177. "dur": 4,
  70178. "args": {
  70179. "name": "conv2d/kernel/Adam_1/replica_2",
  70180. "op": "VarHandleOp"
  70181. }
  70182. },
  70183. {
  70184. "ph": "X",
  70185. "cat": "Op",
  70186. "name": "Const",
  70187. "pid": 31,
  70188. "tid": 0,
  70189. "ts": 1539815912098682,
  70190. "dur": 7,
  70191. "args": {
  70192. "name": "training/TFOptimizer/Shape_34",
  70193. "op": "Const"
  70194. }
  70195. },
  70196. {
  70197. "ph": "X",
  70198. "cat": "Op",
  70199. "name": "VarHandleOp",
  70200. "pid": 31,
  70201. "tid": 0,
  70202. "ts": 1539815912098691,
  70203. "dur": 4,
  70204. "args": {
  70205. "name": "conv2d/bias/Adam/replica_2",
  70206. "op": "VarHandleOp"
  70207. }
  70208. },
  70209. {
  70210. "ph": "X",
  70211. "cat": "Op",
  70212. "name": "VarHandleOp",
  70213. "pid": 31,
  70214. "tid": 0,
  70215. "ts": 1539815912098697,
  70216. "dur": 4,
  70217. "args": {
  70218. "name": "conv2d/bias/Adam_1/replica_2",
  70219. "op": "VarHandleOp"
  70220. }
  70221. },
  70222. {
  70223. "ph": "X",
  70224. "cat": "Op",
  70225. "name": "VarHandleOp",
  70226. "pid": 31,
  70227. "tid": 0,
  70228. "ts": 1539815912098705,
  70229. "dur": 4,
  70230. "args": {
  70231. "name": "batch_normalization_1/gamma/Adam/replica_2",
  70232. "op": "VarHandleOp"
  70233. }
  70234. },
  70235. {
  70236. "ph": "X",
  70237. "cat": "Op",
  70238. "name": "VarHandleOp",
  70239. "pid": 31,
  70240. "tid": 0,
  70241. "ts": 1539815912098710,
  70242. "dur": 4,
  70243. "args": {
  70244. "name": "batch_normalization_1/gamma/Adam_1/replica_2",
  70245. "op": "VarHandleOp"
  70246. }
  70247. },
  70248. {
  70249. "ph": "X",
  70250. "cat": "Op",
  70251. "name": "VarHandleOp",
  70252. "pid": 31,
  70253. "tid": 0,
  70254. "ts": 1539815912098716,
  70255. "dur": 4,
  70256. "args": {
  70257. "name": "batch_normalization_1/beta/Adam/replica_2",
  70258. "op": "VarHandleOp"
  70259. }
  70260. },
  70261. {
  70262. "ph": "X",
  70263. "cat": "Op",
  70264. "name": "VarHandleOp",
  70265. "pid": 31,
  70266. "tid": 0,
  70267. "ts": 1539815912098722,
  70268. "dur": 6,
  70269. "args": {
  70270. "name": "batch_normalization_1/beta/Adam_1/replica_2",
  70271. "op": "VarHandleOp"
  70272. }
  70273. },
  70274. {
  70275. "ph": "X",
  70276. "cat": "Op",
  70277. "name": "VarHandleOp",
  70278. "pid": 31,
  70279. "tid": 0,
  70280. "ts": 1539815912098729,
  70281. "dur": 4,
  70282. "args": {
  70283. "name": "conv2d_1/kernel/Adam/replica_2",
  70284. "op": "VarHandleOp"
  70285. }
  70286. },
  70287. {
  70288. "ph": "X",
  70289. "cat": "Op",
  70290. "name": "VarHandleOp",
  70291. "pid": 31,
  70292. "tid": 0,
  70293. "ts": 1539815912098735,
  70294. "dur": 4,
  70295. "args": {
  70296. "name": "conv2d_1/kernel/Adam_1/replica_2",
  70297. "op": "VarHandleOp"
  70298. }
  70299. },
  70300. {
  70301. "ph": "X",
  70302. "cat": "Op",
  70303. "name": "Const",
  70304. "pid": 31,
  70305. "tid": 0,
  70306. "ts": 1539815912098740,
  70307. "dur": 7,
  70308. "args": {
  70309. "name": "training/TFOptimizer/Shape_38",
  70310. "op": "Const"
  70311. }
  70312. },
  70313. {
  70314. "ph": "X",
  70315. "cat": "Op",
  70316. "name": "VarHandleOp",
  70317. "pid": 31,
  70318. "tid": 0,
  70319. "ts": 1539815912098748,
  70320. "dur": 4,
  70321. "args": {
  70322. "name": "conv2d_1/bias/Adam/replica_2",
  70323. "op": "VarHandleOp"
  70324. }
  70325. },
  70326. {
  70327. "ph": "X",
  70328. "cat": "Op",
  70329. "name": "VarHandleOp",
  70330. "pid": 31,
  70331. "tid": 0,
  70332. "ts": 1539815912098754,
  70333. "dur": 4,
  70334. "args": {
  70335. "name": "conv2d_1/bias/Adam_1/replica_2",
  70336. "op": "VarHandleOp"
  70337. }
  70338. },
  70339. {
  70340. "ph": "X",
  70341. "cat": "Op",
  70342. "name": "VarHandleOp",
  70343. "pid": 31,
  70344. "tid": 0,
  70345. "ts": 1539815912098760,
  70346. "dur": 6,
  70347. "args": {
  70348. "name": "batch_normalization_2/gamma/Adam/replica_2",
  70349. "op": "VarHandleOp"
  70350. }
  70351. },
  70352. {
  70353. "ph": "X",
  70354. "cat": "Op",
  70355. "name": "VarHandleOp",
  70356. "pid": 31,
  70357. "tid": 0,
  70358. "ts": 1539815912098793,
  70359. "dur": 5,
  70360. "args": {
  70361. "name": "batch_normalization_2/gamma/Adam_1/replica_2",
  70362. "op": "VarHandleOp"
  70363. }
  70364. },
  70365. {
  70366. "ph": "X",
  70367. "cat": "Op",
  70368. "name": "VarHandleOp",
  70369. "pid": 31,
  70370. "tid": 0,
  70371. "ts": 1539815912098800,
  70372. "dur": 4,
  70373. "args": {
  70374. "name": "batch_normalization_2/beta/Adam/replica_2",
  70375. "op": "VarHandleOp"
  70376. }
  70377. },
  70378. {
  70379. "ph": "X",
  70380. "cat": "Op",
  70381. "name": "VarHandleOp",
  70382. "pid": 31,
  70383. "tid": 0,
  70384. "ts": 1539815912098807,
  70385. "dur": 9,
  70386. "args": {
  70387. "name": "batch_normalization_2/beta/Adam_1/replica_2",
  70388. "op": "VarHandleOp"
  70389. }
  70390. },
  70391. {
  70392. "ph": "X",
  70393. "cat": "Op",
  70394. "name": "VarHandleOp",
  70395. "pid": 31,
  70396. "tid": 0,
  70397. "ts": 1539815912098819,
  70398. "dur": 7,
  70399. "args": {
  70400. "name": "training/TFOptimizer/beta1_power/replica_2",
  70401. "op": "VarHandleOp"
  70402. }
  70403. },
  70404. {
  70405. "ph": "X",
  70406. "cat": "Op",
  70407. "name": "VarHandleOp",
  70408. "pid": 31,
  70409. "tid": 0,
  70410. "ts": 1539815912098830,
  70411. "dur": 7,
  70412. "args": {
  70413. "name": "training/TFOptimizer/beta2_power/replica_2",
  70414. "op": "VarHandleOp"
  70415. }
  70416. },
  70417. {
  70418. "ph": "X",
  70419. "cat": "Op",
  70420. "name": "Const",
  70421. "pid": 31,
  70422. "tid": 0,
  70423. "ts": 1539815912098841,
  70424. "dur": 11,
  70425. "args": {
  70426. "name": "training/TFOptimizer/Reshape_32/shape",
  70427. "op": "Const"
  70428. }
  70429. },
  70430. {
  70431. "ph": "X",
  70432. "cat": "Op",
  70433. "name": "Const",
  70434. "pid": 31,
  70435. "tid": 0,
  70436. "ts": 1539815912098855,
  70437. "dur": 8,
  70438. "args": {
  70439. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout/dropout/div_grad/Shape_1",
  70440. "op": "Const"
  70441. }
  70442. },
  70443. {
  70444. "ph": "X",
  70445. "cat": "Op",
  70446. "name": "Const",
  70447. "pid": 31,
  70448. "tid": 0,
  70449. "ts": 1539815912098865,
  70450. "dur": 8,
  70451. "args": {
  70452. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value/Minimum_grad/zeros/Const",
  70453. "op": "Const"
  70454. }
  70455. },
  70456. {
  70457. "ph": "X",
  70458. "cat": "Op",
  70459. "name": "Const",
  70460. "pid": 31,
  70461. "tid": 0,
  70462. "ts": 1539815912098875,
  70463. "dur": 8,
  70464. "args": {
  70465. "name": "ConstantFolding/tower_2/training/TFOptimizer/gradients/tower_2/dropout_3/dropout/div_grad/RealDiv_recip",
  70466. "op": "Const"
  70467. }
  70468. },
  70469. {
  70470. "ph": "X",
  70471. "cat": "Op",
  70472. "name": "Const",
  70473. "pid": 31,
  70474. "tid": 0,
  70475. "ts": 1539815912098884,
  70476. "dur": 5,
  70477. "args": {
  70478. "name": "tower_2/loss/activation_1_loss/Reshape/shape",
  70479. "op": "Const"
  70480. }
  70481. },
  70482. {
  70483. "ph": "X",
  70484. "cat": "Op",
  70485. "name": "Const",
  70486. "pid": 31,
  70487. "tid": 0,
  70488. "ts": 1539815912098890,
  70489. "dur": 5,
  70490. "args": {
  70491. "name": "tower_2/loss/activation_1_loss/Const",
  70492. "op": "Const"
  70493. }
  70494. },
  70495. {
  70496. "ph": "X",
  70497. "cat": "Op",
  70498. "name": "Const",
  70499. "pid": 31,
  70500. "tid": 0,
  70501. "ts": 1539815912098896,
  70502. "dur": 7,
  70503. "args": {
  70504. "name": "tower_2/loss/activation_1_loss/sub",
  70505. "op": "Const"
  70506. }
  70507. },
  70508. {
  70509. "ph": "X",
  70510. "cat": "Op",
  70511. "name": "Const",
  70512. "pid": 31,
  70513. "tid": 0,
  70514. "ts": 1539815912098905,
  70515. "dur": 5,
  70516. "args": {
  70517. "name": "tower_2/dropout_3/dropout/keep_prob",
  70518. "op": "Const"
  70519. }
  70520. },
  70521. {
  70522. "ph": "X",
  70523. "cat": "Op",
  70524. "name": "Const",
  70525. "pid": 31,
  70526. "tid": 0,
  70527. "ts": 1539815912098912,
  70528. "dur": 5,
  70529. "args": {
  70530. "name": "tower_2/dropout_2/dropout/keep_prob",
  70531. "op": "Const"
  70532. }
  70533. },
  70534. {
  70535. "ph": "X",
  70536. "cat": "Op",
  70537. "name": "VarHandleOp",
  70538. "pid": 31,
  70539. "tid": 0,
  70540. "ts": 1539815912098918,
  70541. "dur": 6,
  70542. "args": {
  70543. "name": "batch_normalization/gamma/replica_2",
  70544. "op": "VarHandleOp"
  70545. }
  70546. },
  70547. {
  70548. "ph": "X",
  70549. "cat": "Op",
  70550. "name": "VarHandleOp",
  70551. "pid": 31,
  70552. "tid": 0,
  70553. "ts": 1539815912098926,
  70554. "dur": 5,
  70555. "args": {
  70556. "name": "batch_normalization/beta/replica_2",
  70557. "op": "VarHandleOp"
  70558. }
  70559. },
  70560. {
  70561. "ph": "X",
  70562. "cat": "Op",
  70563. "name": "Const",
  70564. "pid": 31,
  70565. "tid": 0,
  70566. "ts": 1539815912098933,
  70567. "dur": 5,
  70568. "args": {
  70569. "name": "tower_2/batch_normalization/Const",
  70570. "op": "Const"
  70571. }
  70572. },
  70573. {
  70574. "ph": "X",
  70575. "cat": "Op",
  70576. "name": "VarHandleOp",
  70577. "pid": 31,
  70578. "tid": 0,
  70579. "ts": 1539815912098940,
  70580. "dur": 6,
  70581. "args": {
  70582. "name": "conv2d/kernel/replica_2",
  70583. "op": "VarHandleOp"
  70584. }
  70585. },
  70586. {
  70587. "ph": "X",
  70588. "cat": "Op",
  70589. "name": "VarHandleOp",
  70590. "pid": 31,
  70591. "tid": 0,
  70592. "ts": 1539815912098949,
  70593. "dur": 4,
  70594. "args": {
  70595. "name": "conv2d/bias/replica_2",
  70596. "op": "VarHandleOp"
  70597. }
  70598. },
  70599. {
  70600. "ph": "X",
  70601. "cat": "Op",
  70602. "name": "VarHandleOp",
  70603. "pid": 31,
  70604. "tid": 0,
  70605. "ts": 1539815912098956,
  70606. "dur": 4,
  70607. "args": {
  70608. "name": "batch_normalization_1/gamma/replica_2",
  70609. "op": "VarHandleOp"
  70610. }
  70611. },
  70612. {
  70613. "ph": "X",
  70614. "cat": "Op",
  70615. "name": "VarHandleOp",
  70616. "pid": 31,
  70617. "tid": 0,
  70618. "ts": 1539815912098962,
  70619. "dur": 4,
  70620. "args": {
  70621. "name": "batch_normalization_1/beta/replica_2",
  70622. "op": "VarHandleOp"
  70623. }
  70624. },
  70625. {
  70626. "ph": "X",
  70627. "cat": "Op",
  70628. "name": "VarHandleOp",
  70629. "pid": 31,
  70630. "tid": 0,
  70631. "ts": 1539815912098972,
  70632. "dur": 4,
  70633. "args": {
  70634. "name": "conv2d_1/kernel/replica_2",
  70635. "op": "VarHandleOp"
  70636. }
  70637. },
  70638. {
  70639. "ph": "X",
  70640. "cat": "Op",
  70641. "name": "VarHandleOp",
  70642. "pid": 31,
  70643. "tid": 0,
  70644. "ts": 1539815912098980,
  70645. "dur": 5,
  70646. "args": {
  70647. "name": "conv2d_1/bias/replica_2",
  70648. "op": "VarHandleOp"
  70649. }
  70650. },
  70651. {
  70652. "ph": "X",
  70653. "cat": "Op",
  70654. "name": "VarHandleOp",
  70655. "pid": 31,
  70656. "tid": 0,
  70657. "ts": 1539815912098987,
  70658. "dur": 7,
  70659. "args": {
  70660. "name": "batch_normalization_2/gamma/replica_2",
  70661. "op": "VarHandleOp"
  70662. }
  70663. },
  70664. {
  70665. "ph": "X",
  70666. "cat": "Op",
  70667. "name": "VarHandleOp",
  70668. "pid": 31,
  70669. "tid": 0,
  70670. "ts": 1539815912098996,
  70671. "dur": 4,
  70672. "args": {
  70673. "name": "batch_normalization_2/beta/replica_2",
  70674. "op": "VarHandleOp"
  70675. }
  70676. },
  70677. {
  70678. "ph": "X",
  70679. "cat": "Op",
  70680. "name": "VarHandleOp",
  70681. "pid": 31,
  70682. "tid": 0,
  70683. "ts": 1539815912099002,
  70684. "dur": 4,
  70685. "args": {
  70686. "name": "conv2d_2/kernel/replica_2",
  70687. "op": "VarHandleOp"
  70688. }
  70689. },
  70690. {
  70691. "ph": "X",
  70692. "cat": "Op",
  70693. "name": "VarHandleOp",
  70694. "pid": 31,
  70695. "tid": 0,
  70696. "ts": 1539815912099008,
  70697. "dur": 7,
  70698. "args": {
  70699. "name": "conv2d_2/bias/replica_2",
  70700. "op": "VarHandleOp"
  70701. }
  70702. },
  70703. {
  70704. "ph": "X",
  70705. "cat": "Op",
  70706. "name": "Const",
  70707. "pid": 31,
  70708. "tid": 0,
  70709. "ts": 1539815912099019,
  70710. "dur": 4,
  70711. "args": {
  70712. "name": "tower_2/flatten/strided_slice/stack_1",
  70713. "op": "Const"
  70714. }
  70715. },
  70716. {
  70717. "ph": "X",
  70718. "cat": "Op",
  70719. "name": "VarHandleOp",
  70720. "pid": 31,
  70721. "tid": 0,
  70722. "ts": 1539815912099025,
  70723. "dur": 4,
  70724. "args": {
  70725. "name": "dense/kernel/replica_2",
  70726. "op": "VarHandleOp"
  70727. }
  70728. },
  70729. {
  70730. "ph": "X",
  70731. "cat": "Op",
  70732. "name": "VarHandleOp",
  70733. "pid": 31,
  70734. "tid": 0,
  70735. "ts": 1539815912099031,
  70736. "dur": 5,
  70737. "args": {
  70738. "name": "dense/bias/replica_2",
  70739. "op": "VarHandleOp"
  70740. }
  70741. },
  70742. {
  70743. "ph": "X",
  70744. "cat": "Op",
  70745. "name": "VarHandleOp",
  70746. "pid": 31,
  70747. "tid": 0,
  70748. "ts": 1539815912099040,
  70749. "dur": 4,
  70750. "args": {
  70751. "name": "dense_1/kernel/replica_2",
  70752. "op": "VarHandleOp"
  70753. }
  70754. },
  70755. {
  70756. "ph": "X",
  70757. "cat": "Op",
  70758. "name": "VarHandleOp",
  70759. "pid": 31,
  70760. "tid": 0,
  70761. "ts": 1539815912099046,
  70762. "dur": 4,
  70763. "args": {
  70764. "name": "dense_1/bias/replica_2",
  70765. "op": "VarHandleOp"
  70766. }
  70767. },
  70768. {
  70769. "ph": "X",
  70770. "cat": "Op",
  70771. "name": "Const",
  70772. "pid": 31,
  70773. "tid": 0,
  70774. "ts": 1539815912099052,
  70775. "dur": 5,
  70776. "args": {
  70777. "name": "training/TFOptimizer/concat_2/axis",
  70778. "op": "Const"
  70779. }
  70780. },
  70781. {
  70782. "ph": "X",
  70783. "cat": "Op",
  70784. "name": "Const",
  70785. "pid": 31,
  70786. "tid": 0,
  70787. "ts": 1539815912099060,
  70788. "dur": 5,
  70789. "args": {
  70790. "name": "training/TFOptimizer/packed_2",
  70791. "op": "Const"
  70792. }
  70793. },
  70794. {
  70795. "ph": "X",
  70796. "cat": "Op",
  70797. "name": "Const",
  70798. "pid": 31,
  70799. "tid": 0,
  70800. "ts": 1539815912099067,
  70801. "dur": 4,
  70802. "args": {
  70803. "name": "training/TFOptimizer/split_6/split_dim",
  70804. "op": "Const"
  70805. }
  70806. },
  70807. {
  70808. "ph": "X",
  70809. "cat": "Op",
  70810. "name": "Const",
  70811. "pid": 31,
  70812. "tid": 0,
  70813. "ts": 1539815912099073,
  70814. "dur": 5,
  70815. "args": {
  70816. "name": "ConstantFolding/tower_2/training/TFOptimizer/gradients/tower_2/dropout/dropout/div_grad/RealDiv_recip",
  70817. "op": "Const"
  70818. }
  70819. },
  70820. {
  70821. "ph": "X",
  70822. "cat": "Op",
  70823. "name": "VarHandleOp",
  70824. "pid": 31,
  70825. "tid": 0,
  70826. "ts": 1539815912099083,
  70827. "dur": 5,
  70828. "args": {
  70829. "name": "batch_normalization/moving_mean/replica_2",
  70830. "op": "VarHandleOp"
  70831. }
  70832. },
  70833. {
  70834. "ph": "X",
  70835. "cat": "Op",
  70836. "name": "Const",
  70837. "pid": 31,
  70838. "tid": 0,
  70839. "ts": 1539815912099090,
  70840. "dur": 6,
  70841. "args": {
  70842. "name": "tower_2/batch_normalization/AssignMovingAvg/sub",
  70843. "op": "Const"
  70844. }
  70845. },
  70846. {
  70847. "ph": "X",
  70848. "cat": "Op",
  70849. "name": "ReadVariableOp",
  70850. "pid": 31,
  70851. "tid": 0,
  70852. "ts": 1539815912099097,
  70853. "dur": 14,
  70854. "args": {
  70855. "name": "tower_2/batch_normalization/AssignMovingAvg_1/ReadVariableOp",
  70856. "op": "ReadVariableOp",
  70857. "input0": "batch_normalization/moving_variance/replica_2"
  70858. }
  70859. },
  70860. {
  70861. "ph": "X",
  70862. "cat": "Op",
  70863. "name": "ReadVariableOp",
  70864. "pid": 31,
  70865. "tid": 0,
  70866. "ts": 1539815912099116,
  70867. "dur": 6,
  70868. "args": {
  70869. "name": "tower_2/batch_normalization_1/AssignMovingAvg/ReadVariableOp",
  70870. "op": "ReadVariableOp",
  70871. "input0": "batch_normalization_1/moving_mean/replica_2"
  70872. }
  70873. },
  70874. {
  70875. "ph": "X",
  70876. "cat": "Op",
  70877. "name": "ReadVariableOp",
  70878. "pid": 31,
  70879. "tid": 0,
  70880. "ts": 1539815912099124,
  70881. "dur": 7,
  70882. "args": {
  70883. "name": "tower_2/batch_normalization_1/AssignMovingAvg_1/ReadVariableOp",
  70884. "op": "ReadVariableOp",
  70885. "input0": "batch_normalization_1/moving_variance/replica_2"
  70886. }
  70887. },
  70888. {
  70889. "ph": "X",
  70890. "cat": "Op",
  70891. "name": "ReadVariableOp",
  70892. "pid": 31,
  70893. "tid": 0,
  70894. "ts": 1539815912099132,
  70895. "dur": 8,
  70896. "args": {
  70897. "name": "tower_2/batch_normalization_2/AssignMovingAvg/ReadVariableOp",
  70898. "op": "ReadVariableOp",
  70899. "input0": "batch_normalization_2/moving_mean/replica_2"
  70900. }
  70901. },
  70902. {
  70903. "ph": "X",
  70904. "cat": "Op",
  70905. "name": "ReadVariableOp",
  70906. "pid": 31,
  70907. "tid": 0,
  70908. "ts": 1539815912099143,
  70909. "dur": 5,
  70910. "args": {
  70911. "name": "tower_2/batch_normalization_2/AssignMovingAvg_1/ReadVariableOp",
  70912. "op": "ReadVariableOp",
  70913. "input0": "batch_normalization_2/moving_variance/replica_2"
  70914. }
  70915. },
  70916. {
  70917. "ph": "X",
  70918. "cat": "Op",
  70919. "name": "ReadVariableOp",
  70920. "pid": 31,
  70921. "tid": 0,
  70922. "ts": 1539815912099150,
  70923. "dur": 6,
  70924. "args": {
  70925. "name": "training/TFOptimizer/Adam/update_2/update_batch_normalization/gamma/replica_2/ResourceApplyAdam/ReadVariableOp",
  70926. "op": "ReadVariableOp",
  70927. "input0": "training/TFOptimizer/beta1_power/replica_2"
  70928. }
  70929. },
  70930. {
  70931. "ph": "X",
  70932. "cat": "Op",
  70933. "name": "ReadVariableOp",
  70934. "pid": 31,
  70935. "tid": 0,
  70936. "ts": 1539815912099158,
  70937. "dur": 6,
  70938. "args": {
  70939. "name": "training/TFOptimizer/Adam/update_2_1/update_batch_normalization/beta/replica_2/ResourceApplyAdam/ReadVariableOp",
  70940. "op": "ReadVariableOp",
  70941. "input0": "training/TFOptimizer/beta1_power/replica_2"
  70942. }
  70943. },
  70944. {
  70945. "ph": "X",
  70946. "cat": "Op",
  70947. "name": "ReadVariableOp",
  70948. "pid": 31,
  70949. "tid": 0,
  70950. "ts": 1539815912099167,
  70951. "dur": 4,
  70952. "args": {
  70953. "name": "training/TFOptimizer/Adam/update_2_10/update_conv2d_2/kernel/replica_2/ResourceApplyAdam/ReadVariableOp",
  70954. "op": "ReadVariableOp",
  70955. "input0": "training/TFOptimizer/beta1_power/replica_2"
  70956. }
  70957. },
  70958. {
  70959. "ph": "X",
  70960. "cat": "Op",
  70961. "name": "ReadVariableOp",
  70962. "pid": 31,
  70963. "tid": 0,
  70964. "ts": 1539815912099173,
  70965. "dur": 5,
  70966. "args": {
  70967. "name": "training/TFOptimizer/Adam/update_2_11/update_conv2d_2/bias/replica_2/ResourceApplyAdam/ReadVariableOp",
  70968. "op": "ReadVariableOp",
  70969. "input0": "training/TFOptimizer/beta1_power/replica_2"
  70970. }
  70971. },
  70972. {
  70973. "ph": "X",
  70974. "cat": "Op",
  70975. "name": "ReadVariableOp",
  70976. "pid": 31,
  70977. "tid": 0,
  70978. "ts": 1539815912099183,
  70979. "dur": 5,
  70980. "args": {
  70981. "name": "training/TFOptimizer/Adam/update_2_12/update_dense/kernel/replica_2/ResourceApplyAdam/ReadVariableOp",
  70982. "op": "ReadVariableOp",
  70983. "input0": "training/TFOptimizer/beta1_power/replica_2"
  70984. }
  70985. },
  70986. {
  70987. "ph": "X",
  70988. "cat": "Op",
  70989. "name": "ReadVariableOp",
  70990. "pid": 31,
  70991. "tid": 0,
  70992. "ts": 1539815912099190,
  70993. "dur": 5,
  70994. "args": {
  70995. "name": "training/TFOptimizer/Adam/update_2_13/update_dense/bias/replica_2/ResourceApplyAdam/ReadVariableOp",
  70996. "op": "ReadVariableOp",
  70997. "input0": "training/TFOptimizer/beta1_power/replica_2"
  70998. }
  70999. },
  71000. {
  71001. "ph": "X",
  71002. "cat": "Op",
  71003. "name": "ReadVariableOp",
  71004. "pid": 31,
  71005. "tid": 0,
  71006. "ts": 1539815912099197,
  71007. "dur": 4,
  71008. "args": {
  71009. "name": "training/TFOptimizer/Adam/update_2_14/update_dense_1/kernel/replica_2/ResourceApplyAdam/ReadVariableOp",
  71010. "op": "ReadVariableOp",
  71011. "input0": "training/TFOptimizer/beta1_power/replica_2"
  71012. }
  71013. },
  71014. {
  71015. "ph": "X",
  71016. "cat": "Op",
  71017. "name": "ReadVariableOp",
  71018. "pid": 31,
  71019. "tid": 0,
  71020. "ts": 1539815912099205,
  71021. "dur": 5,
  71022. "args": {
  71023. "name": "training/TFOptimizer/Adam/update_2_15/update_dense_1/bias/replica_2/ResourceApplyAdam/ReadVariableOp",
  71024. "op": "ReadVariableOp",
  71025. "input0": "training/TFOptimizer/beta1_power/replica_2"
  71026. }
  71027. },
  71028. {
  71029. "ph": "X",
  71030. "cat": "Op",
  71031. "name": "ReadVariableOp",
  71032. "pid": 31,
  71033. "tid": 0,
  71034. "ts": 1539815912099212,
  71035. "dur": 5,
  71036. "args": {
  71037. "name": "training/TFOptimizer/Adam/update_2_2/update_conv2d/kernel/replica_2/ResourceApplyAdam/ReadVariableOp",
  71038. "op": "ReadVariableOp",
  71039. "input0": "training/TFOptimizer/beta1_power/replica_2"
  71040. }
  71041. },
  71042. {
  71043. "ph": "X",
  71044. "cat": "Op",
  71045. "name": "ReadVariableOp",
  71046. "pid": 31,
  71047. "tid": 0,
  71048. "ts": 1539815912099219,
  71049. "dur": 6,
  71050. "args": {
  71051. "name": "training/TFOptimizer/Adam/update_2_3/update_conv2d/bias/replica_2/ResourceApplyAdam/ReadVariableOp",
  71052. "op": "ReadVariableOp",
  71053. "input0": "training/TFOptimizer/beta1_power/replica_2"
  71054. }
  71055. },
  71056. {
  71057. "ph": "X",
  71058. "cat": "Op",
  71059. "name": "ReadVariableOp",
  71060. "pid": 31,
  71061. "tid": 0,
  71062. "ts": 1539815912099227,
  71063. "dur": 5,
  71064. "args": {
  71065. "name": "training/TFOptimizer/Adam/update_2_4/update_batch_normalization_1/gamma/replica_2/ResourceApplyAdam/ReadVariableOp",
  71066. "op": "ReadVariableOp",
  71067. "input0": "training/TFOptimizer/beta1_power/replica_2"
  71068. }
  71069. },
  71070. {
  71071. "ph": "X",
  71072. "cat": "Op",
  71073. "name": "ReadVariableOp",
  71074. "pid": 31,
  71075. "tid": 0,
  71076. "ts": 1539815912099234,
  71077. "dur": 4,
  71078. "args": {
  71079. "name": "training/TFOptimizer/Adam/update_2_5/update_batch_normalization_1/beta/replica_2/ResourceApplyAdam/ReadVariableOp",
  71080. "op": "ReadVariableOp",
  71081. "input0": "training/TFOptimizer/beta1_power/replica_2"
  71082. }
  71083. },
  71084. {
  71085. "ph": "X",
  71086. "cat": "Op",
  71087. "name": "ReadVariableOp",
  71088. "pid": 31,
  71089. "tid": 0,
  71090. "ts": 1539815912099240,
  71091. "dur": 7,
  71092. "args": {
  71093. "name": "training/TFOptimizer/Adam/update_2_6/update_conv2d_1/kernel/replica_2/ResourceApplyAdam/ReadVariableOp",
  71094. "op": "ReadVariableOp",
  71095. "input0": "training/TFOptimizer/beta1_power/replica_2"
  71096. }
  71097. },
  71098. {
  71099. "ph": "X",
  71100. "cat": "Op",
  71101. "name": "ReadVariableOp",
  71102. "pid": 31,
  71103. "tid": 0,
  71104. "ts": 1539815912099249,
  71105. "dur": 5,
  71106. "args": {
  71107. "name": "training/TFOptimizer/Adam/update_2_7/update_conv2d_1/bias/replica_2/ResourceApplyAdam/ReadVariableOp",
  71108. "op": "ReadVariableOp",
  71109. "input0": "training/TFOptimizer/beta1_power/replica_2"
  71110. }
  71111. },
  71112. {
  71113. "ph": "X",
  71114. "cat": "Op",
  71115. "name": "ReadVariableOp",
  71116. "pid": 31,
  71117. "tid": 0,
  71118. "ts": 1539815912099256,
  71119. "dur": 5,
  71120. "args": {
  71121. "name": "training/TFOptimizer/Adam/update_2_8/update_batch_normalization_2/gamma/replica_2/ResourceApplyAdam/ReadVariableOp",
  71122. "op": "ReadVariableOp",
  71123. "input0": "training/TFOptimizer/beta1_power/replica_2"
  71124. }
  71125. },
  71126. {
  71127. "ph": "X",
  71128. "cat": "Op",
  71129. "name": "ReadVariableOp",
  71130. "pid": 31,
  71131. "tid": 0,
  71132. "ts": 1539815912099377,
  71133. "dur": 10,
  71134. "args": {
  71135. "name": "training/TFOptimizer/Adam/update_2_9/update_batch_normalization_2/beta/replica_2/ResourceApplyAdam/ReadVariableOp",
  71136. "op": "ReadVariableOp",
  71137. "input0": "training/TFOptimizer/beta1_power/replica_2"
  71138. }
  71139. },
  71140. {
  71141. "ph": "X",
  71142. "cat": "Op",
  71143. "name": "ReadVariableOp",
  71144. "pid": 31,
  71145. "tid": 0,
  71146. "ts": 1539815912099389,
  71147. "dur": 6,
  71148. "args": {
  71149. "name": "training/TFOptimizer/Adam/update_2/update_batch_normalization/gamma/replica_2/ResourceApplyAdam/ReadVariableOp_1",
  71150. "op": "ReadVariableOp",
  71151. "input0": "training/TFOptimizer/beta2_power/replica_2"
  71152. }
  71153. },
  71154. {
  71155. "ph": "X",
  71156. "cat": "Op",
  71157. "name": "ReadVariableOp",
  71158. "pid": 31,
  71159. "tid": 0,
  71160. "ts": 1539815912099397,
  71161. "dur": 5,
  71162. "args": {
  71163. "name": "training/TFOptimizer/Adam/update_2_1/update_batch_normalization/beta/replica_2/ResourceApplyAdam/ReadVariableOp_1",
  71164. "op": "ReadVariableOp",
  71165. "input0": "training/TFOptimizer/beta2_power/replica_2"
  71166. }
  71167. },
  71168. {
  71169. "ph": "X",
  71170. "cat": "Op",
  71171. "name": "ReadVariableOp",
  71172. "pid": 31,
  71173. "tid": 0,
  71174. "ts": 1539815912099407,
  71175. "dur": 5,
  71176. "args": {
  71177. "name": "training/TFOptimizer/Adam/update_2_10/update_conv2d_2/kernel/replica_2/ResourceApplyAdam/ReadVariableOp_1",
  71178. "op": "ReadVariableOp",
  71179. "input0": "training/TFOptimizer/beta2_power/replica_2"
  71180. }
  71181. },
  71182. {
  71183. "ph": "X",
  71184. "cat": "Op",
  71185. "name": "ReadVariableOp",
  71186. "pid": 31,
  71187. "tid": 0,
  71188. "ts": 1539815912099415,
  71189. "dur": 7,
  71190. "args": {
  71191. "name": "training/TFOptimizer/Adam/update_2_11/update_conv2d_2/bias/replica_2/ResourceApplyAdam/ReadVariableOp_1",
  71192. "op": "ReadVariableOp",
  71193. "input0": "training/TFOptimizer/beta2_power/replica_2"
  71194. }
  71195. },
  71196. {
  71197. "ph": "X",
  71198. "cat": "Op",
  71199. "name": "ReadVariableOp",
  71200. "pid": 31,
  71201. "tid": 0,
  71202. "ts": 1539815912099425,
  71203. "dur": 9,
  71204. "args": {
  71205. "name": "training/TFOptimizer/Adam/update_2_12/update_dense/kernel/replica_2/ResourceApplyAdam/ReadVariableOp_1",
  71206. "op": "ReadVariableOp",
  71207. "input0": "training/TFOptimizer/beta2_power/replica_2"
  71208. }
  71209. },
  71210. {
  71211. "ph": "X",
  71212. "cat": "Op",
  71213. "name": "ReadVariableOp",
  71214. "pid": 31,
  71215. "tid": 0,
  71216. "ts": 1539815912099437,
  71217. "dur": 7,
  71218. "args": {
  71219. "name": "training/TFOptimizer/Adam/update_2_13/update_dense/bias/replica_2/ResourceApplyAdam/ReadVariableOp_1",
  71220. "op": "ReadVariableOp",
  71221. "input0": "training/TFOptimizer/beta2_power/replica_2"
  71222. }
  71223. },
  71224. {
  71225. "ph": "X",
  71226. "cat": "Op",
  71227. "name": "ReadVariableOp",
  71228. "pid": 31,
  71229. "tid": 0,
  71230. "ts": 1539815912099447,
  71231. "dur": 7,
  71232. "args": {
  71233. "name": "training/TFOptimizer/Adam/update_2_14/update_dense_1/kernel/replica_2/ResourceApplyAdam/ReadVariableOp_1",
  71234. "op": "ReadVariableOp",
  71235. "input0": "training/TFOptimizer/beta2_power/replica_2"
  71236. }
  71237. },
  71238. {
  71239. "ph": "X",
  71240. "cat": "Op",
  71241. "name": "ReadVariableOp",
  71242. "pid": 31,
  71243. "tid": 0,
  71244. "ts": 1539815912099456,
  71245. "dur": 10,
  71246. "args": {
  71247. "name": "training/TFOptimizer/Adam/update_2_15/update_dense_1/bias/replica_2/ResourceApplyAdam/ReadVariableOp_1",
  71248. "op": "ReadVariableOp",
  71249. "input0": "training/TFOptimizer/beta2_power/replica_2"
  71250. }
  71251. },
  71252. {
  71253. "ph": "X",
  71254. "cat": "Op",
  71255. "name": "ReadVariableOp",
  71256. "pid": 31,
  71257. "tid": 0,
  71258. "ts": 1539815912099469,
  71259. "dur": 7,
  71260. "args": {
  71261. "name": "training/TFOptimizer/Adam/update_2_2/update_conv2d/kernel/replica_2/ResourceApplyAdam/ReadVariableOp_1",
  71262. "op": "ReadVariableOp",
  71263. "input0": "training/TFOptimizer/beta2_power/replica_2"
  71264. }
  71265. },
  71266. {
  71267. "ph": "X",
  71268. "cat": "Op",
  71269. "name": "FunctionBufferingResource",
  71270. "pid": 31,
  71271. "tid": 1,
  71272. "ts": 1539815912099455,
  71273. "dur": 29,
  71274. "args": {
  71275. "name": "FunctionBufferingResource_2",
  71276. "op": "FunctionBufferingResource",
  71277. "input0": "IteratorToStringHandle/_1379",
  71278. "input1": "IteratorGetDevice/_1381"
  71279. }
  71280. },
  71281. {
  71282. "ph": "s",
  71283. "cat": "DataFlow",
  71284. "name": "IteratorToStringHandle",
  71285. "pid": 17,
  71286. "tid": 1,
  71287. "ts": 1539815912099412,
  71288. "id": 104
  71289. },
  71290. {
  71291. "ph": "t",
  71292. "cat": "DataFlow",
  71293. "name": "IteratorToStringHandle",
  71294. "pid": 31,
  71295. "tid": 1,
  71296. "ts": 1539815912099455,
  71297. "id": 104
  71298. },
  71299. {
  71300. "ph": "s",
  71301. "cat": "DataFlow",
  71302. "name": "IteratorGetDevice",
  71303. "pid": 17,
  71304. "tid": 0,
  71305. "ts": 1539815912099388,
  71306. "id": 105
  71307. },
  71308. {
  71309. "ph": "t",
  71310. "cat": "DataFlow",
  71311. "name": "IteratorGetDevice",
  71312. "pid": 31,
  71313. "tid": 1,
  71314. "ts": 1539815912099455,
  71315. "id": 105
  71316. },
  71317. {
  71318. "ph": "X",
  71319. "cat": "Op",
  71320. "name": "ReadVariableOp",
  71321. "pid": 31,
  71322. "tid": 0,
  71323. "ts": 1539815912099479,
  71324. "dur": 7,
  71325. "args": {
  71326. "name": "training/TFOptimizer/Adam/update_2_3/update_conv2d/bias/replica_2/ResourceApplyAdam/ReadVariableOp_1",
  71327. "op": "ReadVariableOp",
  71328. "input0": "training/TFOptimizer/beta2_power/replica_2"
  71329. }
  71330. },
  71331. {
  71332. "ph": "X",
  71333. "cat": "Op",
  71334. "name": "ReadVariableOp",
  71335. "pid": 31,
  71336. "tid": 0,
  71337. "ts": 1539815912099502,
  71338. "dur": 8,
  71339. "args": {
  71340. "name": "training/TFOptimizer/Adam/update_2_4/update_batch_normalization_1/gamma/replica_2/ResourceApplyAdam/ReadVariableOp_1",
  71341. "op": "ReadVariableOp",
  71342. "input0": "training/TFOptimizer/beta2_power/replica_2"
  71343. }
  71344. },
  71345. {
  71346. "ph": "X",
  71347. "cat": "Op",
  71348. "name": "ReadVariableOp",
  71349. "pid": 31,
  71350. "tid": 0,
  71351. "ts": 1539815912099513,
  71352. "dur": 5,
  71353. "args": {
  71354. "name": "training/TFOptimizer/Adam/update_2_5/update_batch_normalization_1/beta/replica_2/ResourceApplyAdam/ReadVariableOp_1",
  71355. "op": "ReadVariableOp",
  71356. "input0": "training/TFOptimizer/beta2_power/replica_2"
  71357. }
  71358. },
  71359. {
  71360. "ph": "X",
  71361. "cat": "Op",
  71362. "name": "ReadVariableOp",
  71363. "pid": 31,
  71364. "tid": 0,
  71365. "ts": 1539815912099520,
  71366. "dur": 4,
  71367. "args": {
  71368. "name": "training/TFOptimizer/Adam/update_2_6/update_conv2d_1/kernel/replica_2/ResourceApplyAdam/ReadVariableOp_1",
  71369. "op": "ReadVariableOp",
  71370. "input0": "training/TFOptimizer/beta2_power/replica_2"
  71371. }
  71372. },
  71373. {
  71374. "ph": "X",
  71375. "cat": "Op",
  71376. "name": "ReadVariableOp",
  71377. "pid": 31,
  71378. "tid": 0,
  71379. "ts": 1539815912099557,
  71380. "dur": 5,
  71381. "args": {
  71382. "name": "training/TFOptimizer/Adam/update_2_7/update_conv2d_1/bias/replica_2/ResourceApplyAdam/ReadVariableOp_1",
  71383. "op": "ReadVariableOp",
  71384. "input0": "training/TFOptimizer/beta2_power/replica_2"
  71385. }
  71386. },
  71387. {
  71388. "ph": "X",
  71389. "cat": "Op",
  71390. "name": "ReadVariableOp",
  71391. "pid": 31,
  71392. "tid": 0,
  71393. "ts": 1539815912099564,
  71394. "dur": 5,
  71395. "args": {
  71396. "name": "training/TFOptimizer/Adam/update_2_8/update_batch_normalization_2/gamma/replica_2/ResourceApplyAdam/ReadVariableOp_1",
  71397. "op": "ReadVariableOp",
  71398. "input0": "training/TFOptimizer/beta2_power/replica_2"
  71399. }
  71400. },
  71401. {
  71402. "ph": "X",
  71403. "cat": "Op",
  71404. "name": "ReadVariableOp",
  71405. "pid": 31,
  71406. "tid": 0,
  71407. "ts": 1539815912099570,
  71408. "dur": 61,
  71409. "args": {
  71410. "name": "training/TFOptimizer/Adam/update_2_9/update_batch_normalization_2/beta/replica_2/ResourceApplyAdam/ReadVariableOp_1",
  71411. "op": "ReadVariableOp",
  71412. "input0": "training/TFOptimizer/beta2_power/replica_2"
  71413. }
  71414. },
  71415. {
  71416. "ph": "X",
  71417. "cat": "Op",
  71418. "name": "ReadVariableOp",
  71419. "pid": 31,
  71420. "tid": 0,
  71421. "ts": 1539815912099634,
  71422. "dur": 8,
  71423. "args": {
  71424. "name": "tower_2/batch_normalization/ReadVariableOp",
  71425. "op": "ReadVariableOp",
  71426. "input0": "batch_normalization/gamma/replica_2"
  71427. }
  71428. },
  71429. {
  71430. "ph": "X",
  71431. "cat": "Op",
  71432. "name": "ReadVariableOp",
  71433. "pid": 31,
  71434. "tid": 0,
  71435. "ts": 1539815912099644,
  71436. "dur": 5,
  71437. "args": {
  71438. "name": "tower_2/batch_normalization/ReadVariableOp_1",
  71439. "op": "ReadVariableOp",
  71440. "input0": "batch_normalization/beta/replica_2"
  71441. }
  71442. },
  71443. {
  71444. "ph": "X",
  71445. "cat": "Op",
  71446. "name": "ReadVariableOp",
  71447. "pid": 31,
  71448. "tid": 0,
  71449. "ts": 1539815912099651,
  71450. "dur": 66,
  71451. "args": {
  71452. "name": "tower_2/conv2d/Conv2D/ReadVariableOp",
  71453. "op": "ReadVariableOp",
  71454. "input0": "conv2d/kernel/replica_2"
  71455. }
  71456. },
  71457. {
  71458. "ph": "X",
  71459. "cat": "Op",
  71460. "name": "ReadVariableOp",
  71461. "pid": 31,
  71462. "tid": 0,
  71463. "ts": 1539815912099719,
  71464. "dur": 6,
  71465. "args": {
  71466. "name": "tower_2/conv2d/BiasAdd/ReadVariableOp",
  71467. "op": "ReadVariableOp",
  71468. "input0": "conv2d/bias/replica_2"
  71469. }
  71470. },
  71471. {
  71472. "ph": "X",
  71473. "cat": "Op",
  71474. "name": "ReadVariableOp",
  71475. "pid": 31,
  71476. "tid": 0,
  71477. "ts": 1539815912099727,
  71478. "dur": 5,
  71479. "args": {
  71480. "name": "tower_2/batch_normalization_1/ReadVariableOp",
  71481. "op": "ReadVariableOp",
  71482. "input0": "batch_normalization_1/gamma/replica_2"
  71483. }
  71484. },
  71485. {
  71486. "ph": "X",
  71487. "cat": "Op",
  71488. "name": "ReadVariableOp",
  71489. "pid": 31,
  71490. "tid": 0,
  71491. "ts": 1539815912099736,
  71492. "dur": 5,
  71493. "args": {
  71494. "name": "tower_2/batch_normalization_1/ReadVariableOp_1",
  71495. "op": "ReadVariableOp",
  71496. "input0": "batch_normalization_1/beta/replica_2"
  71497. }
  71498. },
  71499. {
  71500. "ph": "X",
  71501. "cat": "Op",
  71502. "name": "ReadVariableOp",
  71503. "pid": 31,
  71504. "tid": 0,
  71505. "ts": 1539815912099744,
  71506. "dur": 5,
  71507. "args": {
  71508. "name": "tower_2/conv2d_1/Conv2D/ReadVariableOp",
  71509. "op": "ReadVariableOp",
  71510. "input0": "conv2d_1/kernel/replica_2"
  71511. }
  71512. },
  71513. {
  71514. "ph": "X",
  71515. "cat": "Op",
  71516. "name": "ReadVariableOp",
  71517. "pid": 31,
  71518. "tid": 0,
  71519. "ts": 1539815912099752,
  71520. "dur": 477,
  71521. "args": {
  71522. "name": "tower_2/conv2d_1/BiasAdd/ReadVariableOp",
  71523. "op": "ReadVariableOp",
  71524. "input0": "conv2d_1/bias/replica_2"
  71525. }
  71526. },
  71527. {
  71528. "ph": "X",
  71529. "cat": "Op",
  71530. "name": "ReadVariableOp",
  71531. "pid": 31,
  71532. "tid": 0,
  71533. "ts": 1539815912100232,
  71534. "dur": 7,
  71535. "args": {
  71536. "name": "tower_2/batch_normalization_2/ReadVariableOp",
  71537. "op": "ReadVariableOp",
  71538. "input0": "batch_normalization_2/gamma/replica_2"
  71539. }
  71540. },
  71541. {
  71542. "ph": "X",
  71543. "cat": "Op",
  71544. "name": "ReadVariableOp",
  71545. "pid": 31,
  71546. "tid": 0,
  71547. "ts": 1539815912100241,
  71548. "dur": 5,
  71549. "args": {
  71550. "name": "tower_2/batch_normalization_2/ReadVariableOp_1",
  71551. "op": "ReadVariableOp",
  71552. "input0": "batch_normalization_2/beta/replica_2"
  71553. }
  71554. },
  71555. {
  71556. "ph": "X",
  71557. "cat": "Op",
  71558. "name": "ReadVariableOp",
  71559. "pid": 31,
  71560. "tid": 0,
  71561. "ts": 1539815912100251,
  71562. "dur": 7,
  71563. "args": {
  71564. "name": "tower_2/conv2d_2/Conv2D/ReadVariableOp",
  71565. "op": "ReadVariableOp",
  71566. "input0": "conv2d_2/kernel/replica_2"
  71567. }
  71568. },
  71569. {
  71570. "ph": "X",
  71571. "cat": "Op",
  71572. "name": "ReadVariableOp",
  71573. "pid": 31,
  71574. "tid": 0,
  71575. "ts": 1539815912100260,
  71576. "dur": 5,
  71577. "args": {
  71578. "name": "tower_2/conv2d_2/BiasAdd/ReadVariableOp",
  71579. "op": "ReadVariableOp",
  71580. "input0": "conv2d_2/bias/replica_2"
  71581. }
  71582. },
  71583. {
  71584. "ph": "X",
  71585. "cat": "Op",
  71586. "name": "ReadVariableOp",
  71587. "pid": 31,
  71588. "tid": 0,
  71589. "ts": 1539815912100267,
  71590. "dur": 8,
  71591. "args": {
  71592. "name": "tower_2/dense/MatMul/ReadVariableOp",
  71593. "op": "ReadVariableOp",
  71594. "input0": "dense/kernel/replica_2"
  71595. }
  71596. },
  71597. {
  71598. "ph": "X",
  71599. "cat": "Op",
  71600. "name": "ReadVariableOp",
  71601. "pid": 31,
  71602. "tid": 0,
  71603. "ts": 1539815912100276,
  71604. "dur": 6,
  71605. "args": {
  71606. "name": "tower_2/dense/BiasAdd/ReadVariableOp",
  71607. "op": "ReadVariableOp",
  71608. "input0": "dense/bias/replica_2"
  71609. }
  71610. },
  71611. {
  71612. "ph": "X",
  71613. "cat": "Op",
  71614. "name": "ReadVariableOp",
  71615. "pid": 31,
  71616. "tid": 0,
  71617. "ts": 1539815912100283,
  71618. "dur": 5,
  71619. "args": {
  71620. "name": "tower_2/dense_1/MatMul/ReadVariableOp",
  71621. "op": "ReadVariableOp",
  71622. "input0": "dense_1/kernel/replica_2"
  71623. }
  71624. },
  71625. {
  71626. "ph": "X",
  71627. "cat": "Op",
  71628. "name": "ReadVariableOp",
  71629. "pid": 31,
  71630. "tid": 0,
  71631. "ts": 1539815912100291,
  71632. "dur": 7,
  71633. "args": {
  71634. "name": "tower_2/dense_1/BiasAdd/ReadVariableOp",
  71635. "op": "ReadVariableOp",
  71636. "input0": "dense_1/bias/replica_2"
  71637. }
  71638. },
  71639. {
  71640. "ph": "X",
  71641. "cat": "Op",
  71642. "name": "ReadVariableOp",
  71643. "pid": 31,
  71644. "tid": 0,
  71645. "ts": 1539815912100300,
  71646. "dur": 6,
  71647. "args": {
  71648. "name": "tower_2/batch_normalization/AssignMovingAvg/ReadVariableOp",
  71649. "op": "ReadVariableOp",
  71650. "input0": "batch_normalization/moving_mean/replica_2"
  71651. }
  71652. },
  71653. {
  71654. "ph": "X",
  71655. "cat": "Op",
  71656. "name": "FunctionBufferingResourceGetNext",
  71657. "pid": 31,
  71658. "tid": 1,
  71659. "ts": 1539815912099492,
  71660. "dur": 2844,
  71661. "args": {
  71662. "name": "FunctionBufferingResourceGetNext_2",
  71663. "op": "FunctionBufferingResourceGetNext",
  71664. "input0": "FunctionBufferingResource_2"
  71665. }
  71666. },
  71667. {
  71668. "ph": "X",
  71669. "cat": "Op",
  71670. "name": "Cast",
  71671. "pid": 31,
  71672. "tid": 0,
  71673. "ts": 1539815912102362,
  71674. "dur": 5002,
  71675. "args": {
  71676. "name": "tower_2/Cast",
  71677. "op": "Cast",
  71678. "input0": "FunctionBufferingResourceGetNext_2"
  71679. }
  71680. },
  71681. {
  71682. "ph": "s",
  71683. "cat": "DataFlow",
  71684. "name": "FunctionBufferingResourceGetNext_2",
  71685. "pid": 31,
  71686. "tid": 1,
  71687. "ts": 1539815912102336,
  71688. "id": 106
  71689. },
  71690. {
  71691. "ph": "t",
  71692. "cat": "DataFlow",
  71693. "name": "FunctionBufferingResourceGetNext_2",
  71694. "pid": 31,
  71695. "tid": 0,
  71696. "ts": 1539815912102362,
  71697. "id": 106
  71698. },
  71699. {
  71700. "ph": "X",
  71701. "cat": "Op",
  71702. "name": "Transpose",
  71703. "pid": 31,
  71704. "tid": 0,
  71705. "ts": 1539815912107375,
  71706. "dur": 10,
  71707. "args": {
  71708. "name": "tower_2/batch_normalization/FusedBatchNorm-0-TransposeNHWCToNCHW-LayoutOptimizer",
  71709. "op": "Transpose",
  71710. "input0": "tower_2/Cast",
  71711. "input1": "PermConstNHWCToNCHW-LayoutOptimizer/_1387"
  71712. }
  71713. },
  71714. {
  71715. "ph": "s",
  71716. "cat": "DataFlow",
  71717. "name": "PermConstNHWCToNCHW-LayoutOptimizer",
  71718. "pid": 41,
  71719. "tid": 0,
  71720. "ts": 1539815912099159,
  71721. "id": 107
  71722. },
  71723. {
  71724. "ph": "t",
  71725. "cat": "DataFlow",
  71726. "name": "PermConstNHWCToNCHW-LayoutOptimizer",
  71727. "pid": 31,
  71728. "tid": 0,
  71729. "ts": 1539815912107375,
  71730. "id": 107
  71731. },
  71732. {
  71733. "ph": "X",
  71734. "cat": "Op",
  71735. "name": "Cast",
  71736. "pid": 31,
  71737. "tid": 1,
  71738. "ts": 1539815912102369,
  71739. "dur": 5058,
  71740. "args": {
  71741. "name": "tower_2/Cast_1",
  71742. "op": "Cast",
  71743. "input0": "FunctionBufferingResourceGetNext_2:1"
  71744. }
  71745. },
  71746. {
  71747. "ph": "X",
  71748. "cat": "Op",
  71749. "name": "Reshape",
  71750. "pid": 31,
  71751. "tid": 0,
  71752. "ts": 1539815912107439,
  71753. "dur": 11,
  71754. "args": {
  71755. "name": "tower_2/loss/activation_1_loss/Reshape",
  71756. "op": "Reshape",
  71757. "input0": "tower_2/Cast_1",
  71758. "input1": "tower_2/loss/activation_1_loss/Reshape/shape"
  71759. }
  71760. },
  71761. {
  71762. "ph": "s",
  71763. "cat": "DataFlow",
  71764. "name": "tower_2/Cast_1",
  71765. "pid": 31,
  71766. "tid": 1,
  71767. "ts": 1539815912107427,
  71768. "id": 108
  71769. },
  71770. {
  71771. "ph": "t",
  71772. "cat": "DataFlow",
  71773. "name": "tower_2/Cast_1",
  71774. "pid": 31,
  71775. "tid": 0,
  71776. "ts": 1539815912107439,
  71777. "id": 108
  71778. },
  71779. {
  71780. "ph": "X",
  71781. "cat": "Op",
  71782. "name": "Cast",
  71783. "pid": 31,
  71784. "tid": 0,
  71785. "ts": 1539815912107453,
  71786. "dur": 37,
  71787. "args": {
  71788. "name": "tower_2/loss/activation_1_loss/Cast",
  71789. "op": "Cast",
  71790. "input0": "tower_2/loss/activation_1_loss/Reshape"
  71791. }
  71792. },
  71793. {
  71794. "ph": "X",
  71795. "cat": "Op",
  71796. "name": "FusedBatchNorm",
  71797. "pid": 31,
  71798. "tid": 2,
  71799. "ts": 1539815912107388,
  71800. "dur": 4787934,
  71801. "args": {
  71802. "name": "tower_2/batch_normalization/FusedBatchNorm",
  71803. "op": "FusedBatchNorm",
  71804. "input0": "tower_2/batch_normalization/FusedBatchNorm-0-TransposeNHWCToNCHW-LayoutOptimizer",
  71805. "input1": "tower_2/batch_normalization/ReadVariableOp",
  71806. "input2": "tower_2/batch_normalization/ReadVariableOp_1",
  71807. "input3": "tower_2/batch_normalization/Const",
  71808. "input4": "tower_2/batch_normalization/Const"
  71809. }
  71810. },
  71811. {
  71812. "ph": "s",
  71813. "cat": "DataFlow",
  71814. "name": "tower_2/batch_normalization/FusedBatchNorm-0-TransposeNHWCToNCHW-LayoutOptimizer",
  71815. "pid": 31,
  71816. "tid": 0,
  71817. "ts": 1539815912107385,
  71818. "id": 109
  71819. },
  71820. {
  71821. "ph": "t",
  71822. "cat": "DataFlow",
  71823. "name": "tower_2/batch_normalization/FusedBatchNorm-0-TransposeNHWCToNCHW-LayoutOptimizer",
  71824. "pid": 31,
  71825. "tid": 2,
  71826. "ts": 1539815912107388,
  71827. "id": 109
  71828. },
  71829. {
  71830. "ph": "s",
  71831. "cat": "DataFlow",
  71832. "name": "tower_2/batch_normalization/ReadVariableOp",
  71833. "pid": 31,
  71834. "tid": 0,
  71835. "ts": 1539815912099642,
  71836. "id": 110
  71837. },
  71838. {
  71839. "ph": "t",
  71840. "cat": "DataFlow",
  71841. "name": "tower_2/batch_normalization/ReadVariableOp",
  71842. "pid": 31,
  71843. "tid": 2,
  71844. "ts": 1539815912107388,
  71845. "id": 110
  71846. },
  71847. {
  71848. "ph": "s",
  71849. "cat": "DataFlow",
  71850. "name": "tower_2/batch_normalization/ReadVariableOp_1",
  71851. "pid": 31,
  71852. "tid": 0,
  71853. "ts": 1539815912099649,
  71854. "id": 111
  71855. },
  71856. {
  71857. "ph": "t",
  71858. "cat": "DataFlow",
  71859. "name": "tower_2/batch_normalization/ReadVariableOp_1",
  71860. "pid": 31,
  71861. "tid": 2,
  71862. "ts": 1539815912107388,
  71863. "id": 111
  71864. },
  71865. {
  71866. "ph": "s",
  71867. "cat": "DataFlow",
  71868. "name": "tower_2/batch_normalization/Const",
  71869. "pid": 31,
  71870. "tid": 0,
  71871. "ts": 1539815912098938,
  71872. "id": 112
  71873. },
  71874. {
  71875. "ph": "t",
  71876. "cat": "DataFlow",
  71877. "name": "tower_2/batch_normalization/Const",
  71878. "pid": 31,
  71879. "tid": 2,
  71880. "ts": 1539815912107388,
  71881. "id": 112
  71882. },
  71883. {
  71884. "ph": "s",
  71885. "cat": "DataFlow",
  71886. "name": "tower_2/batch_normalization/Const",
  71887. "pid": 31,
  71888. "tid": 0,
  71889. "ts": 1539815912098938,
  71890. "id": 113
  71891. },
  71892. {
  71893. "ph": "t",
  71894. "cat": "DataFlow",
  71895. "name": "tower_2/batch_normalization/Const",
  71896. "pid": 31,
  71897. "tid": 2,
  71898. "ts": 1539815912107388,
  71899. "id": 113
  71900. },
  71901. {
  71902. "ph": "X",
  71903. "cat": "Op",
  71904. "name": "Sub",
  71905. "pid": 31,
  71906. "tid": 0,
  71907. "ts": 1539815916895348,
  71908. "dur": 71,
  71909. "args": {
  71910. "name": "tower_2/batch_normalization/AssignMovingAvg/sub_1",
  71911. "op": "Sub",
  71912. "input0": "tower_2/batch_normalization/AssignMovingAvg/ReadVariableOp",
  71913. "input1": "tower_2/batch_normalization/FusedBatchNorm:1"
  71914. }
  71915. },
  71916. {
  71917. "ph": "s",
  71918. "cat": "DataFlow",
  71919. "name": "tower_2/batch_normalization/FusedBatchNorm:1",
  71920. "pid": 31,
  71921. "tid": 2,
  71922. "ts": 1539815916895322,
  71923. "id": 114
  71924. },
  71925. {
  71926. "ph": "t",
  71927. "cat": "DataFlow",
  71928. "name": "tower_2/batch_normalization/FusedBatchNorm:1",
  71929. "pid": 31,
  71930. "tid": 0,
  71931. "ts": 1539815916895348,
  71932. "id": 114
  71933. },
  71934. {
  71935. "ph": "X",
  71936. "cat": "Op",
  71937. "name": "Sub",
  71938. "pid": 31,
  71939. "tid": 0,
  71940. "ts": 1539815916895424,
  71941. "dur": 24,
  71942. "args": {
  71943. "name": "tower_2/batch_normalization/AssignMovingAvg_1/sub_1",
  71944. "op": "Sub",
  71945. "input0": "tower_2/batch_normalization/AssignMovingAvg_1/ReadVariableOp",
  71946. "input1": "tower_2/batch_normalization/FusedBatchNorm:2"
  71947. }
  71948. },
  71949. {
  71950. "ph": "s",
  71951. "cat": "DataFlow",
  71952. "name": "tower_2/batch_normalization/FusedBatchNorm:2",
  71953. "pid": 31,
  71954. "tid": 2,
  71955. "ts": 1539815916895322,
  71956. "id": 115
  71957. },
  71958. {
  71959. "ph": "t",
  71960. "cat": "DataFlow",
  71961. "name": "tower_2/batch_normalization/FusedBatchNorm:2",
  71962. "pid": 31,
  71963. "tid": 0,
  71964. "ts": 1539815916895424,
  71965. "id": 115
  71966. },
  71967. {
  71968. "ph": "X",
  71969. "cat": "Op",
  71970. "name": "ShapeN",
  71971. "pid": 31,
  71972. "tid": 0,
  71973. "ts": 1539815916895452,
  71974. "dur": 25,
  71975. "args": {
  71976. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/ShapeN",
  71977. "op": "ShapeN",
  71978. "input0": "tower_2/batch_normalization/FusedBatchNorm",
  71979. "input1": "tower_2/conv2d/Conv2D/ReadVariableOp"
  71980. }
  71981. },
  71982. {
  71983. "ph": "s",
  71984. "cat": "DataFlow",
  71985. "name": "tower_2/batch_normalization/FusedBatchNorm",
  71986. "pid": 31,
  71987. "tid": 2,
  71988. "ts": 1539815916895322,
  71989. "id": 116
  71990. },
  71991. {
  71992. "ph": "t",
  71993. "cat": "DataFlow",
  71994. "name": "tower_2/batch_normalization/FusedBatchNorm",
  71995. "pid": 31,
  71996. "tid": 0,
  71997. "ts": 1539815916895452,
  71998. "id": 116
  71999. },
  72000. {
  72001. "ph": "X",
  72002. "cat": "Op",
  72003. "name": "Conv2D",
  72004. "pid": 31,
  72005. "tid": 0,
  72006. "ts": 1539815916895480,
  72007. "dur": 15268,
  72008. "args": {
  72009. "name": "tower_2/conv2d/Conv2D",
  72010. "op": "Conv2D",
  72011. "input0": "tower_2/batch_normalization/FusedBatchNorm",
  72012. "input1": "tower_2/conv2d/Conv2D/ReadVariableOp"
  72013. }
  72014. },
  72015. {
  72016. "ph": "s",
  72017. "cat": "DataFlow",
  72018. "name": "tower_2/batch_normalization/FusedBatchNorm",
  72019. "pid": 31,
  72020. "tid": 2,
  72021. "ts": 1539815916895322,
  72022. "id": 117
  72023. },
  72024. {
  72025. "ph": "t",
  72026. "cat": "DataFlow",
  72027. "name": "tower_2/batch_normalization/FusedBatchNorm",
  72028. "pid": 31,
  72029. "tid": 0,
  72030. "ts": 1539815916895480,
  72031. "id": 117
  72032. },
  72033. {
  72034. "ph": "X",
  72035. "cat": "Op",
  72036. "name": "Mul",
  72037. "pid": 31,
  72038. "tid": 0,
  72039. "ts": 1539815916910788,
  72040. "dur": 64,
  72041. "args": {
  72042. "name": "tower_2/batch_normalization/AssignMovingAvg/mul",
  72043. "op": "Mul",
  72044. "input0": "tower_2/batch_normalization/AssignMovingAvg/sub_1",
  72045. "input1": "tower_2/batch_normalization/AssignMovingAvg/sub"
  72046. }
  72047. },
  72048. {
  72049. "ph": "X",
  72050. "cat": "Op",
  72051. "name": "Mul",
  72052. "pid": 31,
  72053. "tid": 0,
  72054. "ts": 1539815916910857,
  72055. "dur": 26,
  72056. "args": {
  72057. "name": "tower_2/batch_normalization/AssignMovingAvg_1/mul",
  72058. "op": "Mul",
  72059. "input0": "tower_2/batch_normalization/AssignMovingAvg_1/sub_1",
  72060. "input1": "tower_2/batch_normalization/AssignMovingAvg/sub"
  72061. }
  72062. },
  72063. {
  72064. "ph": "X",
  72065. "cat": "Op",
  72066. "name": "Const",
  72067. "pid": 31,
  72068. "tid": 0,
  72069. "ts": 1539815916910887,
  72070. "dur": 8,
  72071. "args": {
  72072. "name": "ConstantFolding/tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/ShapeN-matshapes-1",
  72073. "op": "Const",
  72074. "input0": "^tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/ShapeN"
  72075. }
  72076. },
  72077. {
  72078. "ph": "X",
  72079. "cat": "Op",
  72080. "name": "BiasAdd",
  72081. "pid": 31,
  72082. "tid": 0,
  72083. "ts": 1539815916910898,
  72084. "dur": 23,
  72085. "args": {
  72086. "name": "tower_2/conv2d/BiasAdd",
  72087. "op": "BiasAdd",
  72088. "input0": "tower_2/conv2d/Conv2D",
  72089. "input1": "tower_2/conv2d/BiasAdd/ReadVariableOp"
  72090. }
  72091. },
  72092. {
  72093. "ph": "X",
  72094. "cat": "Op",
  72095. "name": "AssignSubVariableOp",
  72096. "pid": 31,
  72097. "tid": 0,
  72098. "ts": 1539815916910925,
  72099. "dur": 2274,
  72100. "args": {
  72101. "name": "tower_2/batch_normalization/AssignMovingAvg/AssignSubVariableOp",
  72102. "op": "AssignSubVariableOp",
  72103. "input0": "batch_normalization/moving_mean/replica_2",
  72104. "input1": "tower_2/batch_normalization/AssignMovingAvg/mul"
  72105. }
  72106. },
  72107. {
  72108. "ph": "X",
  72109. "cat": "Op",
  72110. "name": "AssignSubVariableOp",
  72111. "pid": 31,
  72112. "tid": 0,
  72113. "ts": 1539815916913203,
  72114. "dur": 48,
  72115. "args": {
  72116. "name": "tower_2/batch_normalization/AssignMovingAvg_1/AssignSubVariableOp",
  72117. "op": "AssignSubVariableOp",
  72118. "input0": "batch_normalization/moving_variance/replica_2",
  72119. "input1": "tower_2/batch_normalization/AssignMovingAvg_1/mul"
  72120. }
  72121. },
  72122. {
  72123. "ph": "X",
  72124. "cat": "Op",
  72125. "name": "Elu",
  72126. "pid": 31,
  72127. "tid": 0,
  72128. "ts": 1539815916913255,
  72129. "dur": 57,
  72130. "args": {
  72131. "name": "tower_2/conv2d/Elu",
  72132. "op": "Elu",
  72133. "input0": "tower_2/conv2d/BiasAdd"
  72134. }
  72135. },
  72136. {
  72137. "ph": "X",
  72138. "cat": "Op",
  72139. "name": "MaxPool",
  72140. "pid": 31,
  72141. "tid": 0,
  72142. "ts": 1539815916913316,
  72143. "dur": 1771,
  72144. "args": {
  72145. "name": "tower_2/max_pooling2d/MaxPool",
  72146. "op": "MaxPool",
  72147. "input0": "tower_2/conv2d/Elu"
  72148. }
  72149. },
  72150. {
  72151. "ph": "X",
  72152. "cat": "Op",
  72153. "name": "Shape",
  72154. "pid": 31,
  72155. "tid": 0,
  72156. "ts": 1539815916915097,
  72157. "dur": 43,
  72158. "args": {
  72159. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout/dropout/div_grad/Shape",
  72160. "op": "Shape",
  72161. "input0": "tower_2/max_pooling2d/MaxPool"
  72162. }
  72163. },
  72164. {
  72165. "ph": "X",
  72166. "cat": "Op",
  72167. "name": "Mul",
  72168. "pid": 31,
  72169. "tid": 0,
  72170. "ts": 1539815916915143,
  72171. "dur": 33,
  72172. "args": {
  72173. "name": "tower_2/dropout/dropout/div",
  72174. "op": "Mul",
  72175. "input0": "tower_2/max_pooling2d/MaxPool",
  72176. "input1": "ConstantFolding/tower_2/training/TFOptimizer/gradients/tower_2/dropout/dropout/div_grad/RealDiv_recip"
  72177. }
  72178. },
  72179. {
  72180. "ph": "X",
  72181. "cat": "Op",
  72182. "name": "DataFormatVecPermute",
  72183. "pid": 31,
  72184. "tid": 0,
  72185. "ts": 1539815916915184,
  72186. "dur": 15,
  72187. "args": {
  72188. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout/dropout/div_grad/Shape-0-1-VecPermuteNCHWToNHWC-LayoutOptimizer",
  72189. "op": "DataFormatVecPermute",
  72190. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/dropout/dropout/div_grad/Shape"
  72191. }
  72192. },
  72193. {
  72194. "ph": "X",
  72195. "cat": "Op",
  72196. "name": "BroadcastGradientArgs",
  72197. "pid": 31,
  72198. "tid": 0,
  72199. "ts": 1539815916915203,
  72200. "dur": 11,
  72201. "args": {
  72202. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout/dropout/div_grad/BroadcastGradientArgs",
  72203. "op": "BroadcastGradientArgs",
  72204. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/dropout/dropout/div_grad/Shape-1-0-VecPermuteNCHWToNHWC-LayoutOptimizer",
  72205. "input1": "tower_2/training/TFOptimizer/gradients/tower_2/dropout/dropout/div_grad/Shape_1"
  72206. }
  72207. },
  72208. {
  72209. "ph": "X",
  72210. "cat": "Op",
  72211. "name": "RandomUniform",
  72212. "pid": 31,
  72213. "tid": 0,
  72214. "ts": 1539815916915217,
  72215. "dur": 28,
  72216. "args": {
  72217. "name": "tower_2/dropout/dropout/random_uniform/RandomUniform",
  72218. "op": "RandomUniform",
  72219. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/dropout/dropout/div_grad/Shape-2-0-VecPermuteNCHWToNHWC-LayoutOptimizer"
  72220. }
  72221. },
  72222. {
  72223. "ph": "X",
  72224. "cat": "Op",
  72225. "name": "Add",
  72226. "pid": 31,
  72227. "tid": 0,
  72228. "ts": 1539815916915252,
  72229. "dur": 27,
  72230. "args": {
  72231. "name": "tower_2/dropout/dropout/add",
  72232. "op": "Add",
  72233. "input0": "tower_2/dropout_2/dropout/keep_prob",
  72234. "input1": "tower_2/dropout/dropout/random_uniform/RandomUniform"
  72235. }
  72236. },
  72237. {
  72238. "ph": "X",
  72239. "cat": "Op",
  72240. "name": "Floor",
  72241. "pid": 31,
  72242. "tid": 0,
  72243. "ts": 1539815916915283,
  72244. "dur": 22,
  72245. "args": {
  72246. "name": "tower_2/dropout/dropout/Floor",
  72247. "op": "Floor",
  72248. "input0": "tower_2/dropout/dropout/add"
  72249. }
  72250. },
  72251. {
  72252. "ph": "X",
  72253. "cat": "Op",
  72254. "name": "Transpose",
  72255. "pid": 31,
  72256. "tid": 0,
  72257. "ts": 1539815916915308,
  72258. "dur": 2940,
  72259. "args": {
  72260. "name": "tower_2/dropout/dropout/mul-1-TransposeNHWCToNCHW-LayoutOptimizer",
  72261. "op": "Transpose",
  72262. "input0": "tower_2/dropout/dropout/Floor",
  72263. "input1": "PermConstNHWCToNCHW-LayoutOptimizer/_1387"
  72264. }
  72265. },
  72266. {
  72267. "ph": "s",
  72268. "cat": "DataFlow",
  72269. "name": "PermConstNHWCToNCHW-LayoutOptimizer",
  72270. "pid": 41,
  72271. "tid": 0,
  72272. "ts": 1539815912099159,
  72273. "id": 118
  72274. },
  72275. {
  72276. "ph": "t",
  72277. "cat": "DataFlow",
  72278. "name": "PermConstNHWCToNCHW-LayoutOptimizer",
  72279. "pid": 31,
  72280. "tid": 0,
  72281. "ts": 1539815916915308,
  72282. "id": 118
  72283. },
  72284. {
  72285. "ph": "X",
  72286. "cat": "Op",
  72287. "name": "Mul",
  72288. "pid": 31,
  72289. "tid": 0,
  72290. "ts": 1539815916918264,
  72291. "dur": 50,
  72292. "args": {
  72293. "name": "tower_2/dropout/dropout/mul",
  72294. "op": "Mul",
  72295. "input0": "tower_2/dropout/dropout/div",
  72296. "input1": "tower_2/dropout/dropout/mul-1-TransposeNHWCToNCHW-LayoutOptimizer"
  72297. }
  72298. },
  72299. {
  72300. "ph": "X",
  72301. "cat": "Op",
  72302. "name": "FusedBatchNorm",
  72303. "pid": 31,
  72304. "tid": 0,
  72305. "ts": 1539815916918320,
  72306. "dur": 89,
  72307. "args": {
  72308. "name": "tower_2/batch_normalization_1/FusedBatchNorm",
  72309. "op": "FusedBatchNorm",
  72310. "input0": "tower_2/dropout/dropout/mul",
  72311. "input1": "tower_2/batch_normalization_1/ReadVariableOp",
  72312. "input2": "tower_2/batch_normalization_1/ReadVariableOp_1",
  72313. "input3": "tower_2/batch_normalization/Const",
  72314. "input4": "tower_2/batch_normalization/Const"
  72315. }
  72316. },
  72317. {
  72318. "ph": "X",
  72319. "cat": "Op",
  72320. "name": "Sub",
  72321. "pid": 31,
  72322. "tid": 0,
  72323. "ts": 1539815916918419,
  72324. "dur": 29,
  72325. "args": {
  72326. "name": "tower_2/batch_normalization_1/AssignMovingAvg/sub_1",
  72327. "op": "Sub",
  72328. "input0": "tower_2/batch_normalization_1/AssignMovingAvg/ReadVariableOp",
  72329. "input1": "tower_2/batch_normalization_1/FusedBatchNorm:1"
  72330. }
  72331. },
  72332. {
  72333. "ph": "X",
  72334. "cat": "Op",
  72335. "name": "Sub",
  72336. "pid": 31,
  72337. "tid": 0,
  72338. "ts": 1539815916918452,
  72339. "dur": 19,
  72340. "args": {
  72341. "name": "tower_2/batch_normalization_1/AssignMovingAvg_1/sub_1",
  72342. "op": "Sub",
  72343. "input0": "tower_2/batch_normalization_1/AssignMovingAvg_1/ReadVariableOp",
  72344. "input1": "tower_2/batch_normalization_1/FusedBatchNorm:2"
  72345. }
  72346. },
  72347. {
  72348. "ph": "X",
  72349. "cat": "Op",
  72350. "name": "ShapeN",
  72351. "pid": 31,
  72352. "tid": 0,
  72353. "ts": 1539815916918475,
  72354. "dur": 14,
  72355. "args": {
  72356. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/ShapeN",
  72357. "op": "ShapeN",
  72358. "input0": "tower_2/batch_normalization_1/FusedBatchNorm",
  72359. "input1": "tower_2/conv2d_1/Conv2D/ReadVariableOp"
  72360. }
  72361. },
  72362. {
  72363. "ph": "X",
  72364. "cat": "Op",
  72365. "name": "Conv2D",
  72366. "pid": 31,
  72367. "tid": 0,
  72368. "ts": 1539815916918492,
  72369. "dur": 20157,
  72370. "args": {
  72371. "name": "tower_2/conv2d_1/Conv2D",
  72372. "op": "Conv2D",
  72373. "input0": "tower_2/batch_normalization_1/FusedBatchNorm",
  72374. "input1": "tower_2/conv2d_1/Conv2D/ReadVariableOp"
  72375. }
  72376. },
  72377. {
  72378. "ph": "X",
  72379. "cat": "Op",
  72380. "name": "Mul",
  72381. "pid": 31,
  72382. "tid": 0,
  72383. "ts": 1539815916938660,
  72384. "dur": 30,
  72385. "args": {
  72386. "name": "tower_2/batch_normalization_1/AssignMovingAvg/mul",
  72387. "op": "Mul",
  72388. "input0": "tower_2/batch_normalization_1/AssignMovingAvg/sub_1",
  72389. "input1": "tower_2/batch_normalization/AssignMovingAvg/sub"
  72390. }
  72391. },
  72392. {
  72393. "ph": "X",
  72394. "cat": "Op",
  72395. "name": "Mul",
  72396. "pid": 31,
  72397. "tid": 0,
  72398. "ts": 1539815916938695,
  72399. "dur": 21,
  72400. "args": {
  72401. "name": "tower_2/batch_normalization_1/AssignMovingAvg_1/mul",
  72402. "op": "Mul",
  72403. "input0": "tower_2/batch_normalization_1/AssignMovingAvg_1/sub_1",
  72404. "input1": "tower_2/batch_normalization/AssignMovingAvg/sub"
  72405. }
  72406. },
  72407. {
  72408. "ph": "X",
  72409. "cat": "Op",
  72410. "name": "Const",
  72411. "pid": 31,
  72412. "tid": 0,
  72413. "ts": 1539815916938721,
  72414. "dur": 6,
  72415. "args": {
  72416. "name": "ConstantFolding/tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/ShapeN-matshapes-1",
  72417. "op": "Const",
  72418. "input0": "^tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/ShapeN"
  72419. }
  72420. },
  72421. {
  72422. "ph": "X",
  72423. "cat": "Op",
  72424. "name": "BiasAdd",
  72425. "pid": 31,
  72426. "tid": 0,
  72427. "ts": 1539815916938730,
  72428. "dur": 27,
  72429. "args": {
  72430. "name": "tower_2/conv2d_1/BiasAdd",
  72431. "op": "BiasAdd",
  72432. "input0": "tower_2/conv2d_1/Conv2D",
  72433. "input1": "tower_2/conv2d_1/BiasAdd/ReadVariableOp"
  72434. }
  72435. },
  72436. {
  72437. "ph": "X",
  72438. "cat": "Op",
  72439. "name": "AssignSubVariableOp",
  72440. "pid": 31,
  72441. "tid": 0,
  72442. "ts": 1539815916938761,
  72443. "dur": 49,
  72444. "args": {
  72445. "name": "tower_2/batch_normalization_1/AssignMovingAvg/AssignSubVariableOp",
  72446. "op": "AssignSubVariableOp",
  72447. "input0": "batch_normalization_1/moving_mean/replica_2",
  72448. "input1": "tower_2/batch_normalization_1/AssignMovingAvg/mul"
  72449. }
  72450. },
  72451. {
  72452. "ph": "X",
  72453. "cat": "Op",
  72454. "name": "AssignSubVariableOp",
  72455. "pid": 31,
  72456. "tid": 0,
  72457. "ts": 1539815916938829,
  72458. "dur": 47,
  72459. "args": {
  72460. "name": "tower_2/batch_normalization_1/AssignMovingAvg_1/AssignSubVariableOp",
  72461. "op": "AssignSubVariableOp",
  72462. "input0": "batch_normalization_1/moving_variance/replica_2",
  72463. "input1": "tower_2/batch_normalization_1/AssignMovingAvg_1/mul"
  72464. }
  72465. },
  72466. {
  72467. "ph": "X",
  72468. "cat": "Op",
  72469. "name": "Elu",
  72470. "pid": 31,
  72471. "tid": 0,
  72472. "ts": 1539815916938880,
  72473. "dur": 23,
  72474. "args": {
  72475. "name": "tower_2/conv2d_1/Elu",
  72476. "op": "Elu",
  72477. "input0": "tower_2/conv2d_1/BiasAdd"
  72478. }
  72479. },
  72480. {
  72481. "ph": "X",
  72482. "cat": "Op",
  72483. "name": "MaxPool",
  72484. "pid": 31,
  72485. "tid": 0,
  72486. "ts": 1539815916938906,
  72487. "dur": 41,
  72488. "args": {
  72489. "name": "tower_2/max_pooling2d_1/MaxPool",
  72490. "op": "MaxPool",
  72491. "input0": "tower_2/conv2d_1/Elu"
  72492. }
  72493. },
  72494. {
  72495. "ph": "X",
  72496. "cat": "Op",
  72497. "name": "Shape",
  72498. "pid": 31,
  72499. "tid": 0,
  72500. "ts": 1539815916938954,
  72501. "dur": 11,
  72502. "args": {
  72503. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_1/dropout/div_grad/Shape",
  72504. "op": "Shape",
  72505. "input0": "tower_2/max_pooling2d_1/MaxPool"
  72506. }
  72507. },
  72508. {
  72509. "ph": "X",
  72510. "cat": "Op",
  72511. "name": "Mul",
  72512. "pid": 31,
  72513. "tid": 0,
  72514. "ts": 1539815916938968,
  72515. "dur": 25,
  72516. "args": {
  72517. "name": "tower_2/dropout_1/dropout/div",
  72518. "op": "Mul",
  72519. "input0": "tower_2/max_pooling2d_1/MaxPool",
  72520. "input1": "ConstantFolding/tower_2/training/TFOptimizer/gradients/tower_2/dropout/dropout/div_grad/RealDiv_recip"
  72521. }
  72522. },
  72523. {
  72524. "ph": "X",
  72525. "cat": "Op",
  72526. "name": "DataFormatVecPermute",
  72527. "pid": 31,
  72528. "tid": 0,
  72529. "ts": 1539815916939000,
  72530. "dur": 14,
  72531. "args": {
  72532. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_1/dropout/div_grad/Shape-0-0-VecPermuteNCHWToNHWC-LayoutOptimizer",
  72533. "op": "DataFormatVecPermute",
  72534. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_1/dropout/div_grad/Shape"
  72535. }
  72536. },
  72537. {
  72538. "ph": "X",
  72539. "cat": "Op",
  72540. "name": "BroadcastGradientArgs",
  72541. "pid": 31,
  72542. "tid": 0,
  72543. "ts": 1539815916939017,
  72544. "dur": 11,
  72545. "args": {
  72546. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_1/dropout/div_grad/BroadcastGradientArgs",
  72547. "op": "BroadcastGradientArgs",
  72548. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_1/dropout/div_grad/Shape-0-0-VecPermuteNCHWToNHWC-LayoutOptimizer",
  72549. "input1": "tower_2/training/TFOptimizer/gradients/tower_2/dropout/dropout/div_grad/Shape_1"
  72550. }
  72551. },
  72552. {
  72553. "ph": "X",
  72554. "cat": "Op",
  72555. "name": "RandomUniform",
  72556. "pid": 31,
  72557. "tid": 0,
  72558. "ts": 1539815916939031,
  72559. "dur": 25,
  72560. "args": {
  72561. "name": "tower_2/dropout_1/dropout/random_uniform/RandomUniform",
  72562. "op": "RandomUniform",
  72563. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_1/dropout/div_grad/Shape-2-0-VecPermuteNCHWToNHWC-LayoutOptimizer"
  72564. }
  72565. },
  72566. {
  72567. "ph": "X",
  72568. "cat": "Op",
  72569. "name": "Add",
  72570. "pid": 31,
  72571. "tid": 0,
  72572. "ts": 1539815916939062,
  72573. "dur": 26,
  72574. "args": {
  72575. "name": "tower_2/dropout_1/dropout/add",
  72576. "op": "Add",
  72577. "input0": "tower_2/dropout_2/dropout/keep_prob",
  72578. "input1": "tower_2/dropout_1/dropout/random_uniform/RandomUniform"
  72579. }
  72580. },
  72581. {
  72582. "ph": "X",
  72583. "cat": "Op",
  72584. "name": "Floor",
  72585. "pid": 31,
  72586. "tid": 0,
  72587. "ts": 1539815916939091,
  72588. "dur": 29,
  72589. "args": {
  72590. "name": "tower_2/dropout_1/dropout/Floor",
  72591. "op": "Floor",
  72592. "input0": "tower_2/dropout_1/dropout/add"
  72593. }
  72594. },
  72595. {
  72596. "ph": "X",
  72597. "cat": "Op",
  72598. "name": "Transpose",
  72599. "pid": 31,
  72600. "tid": 0,
  72601. "ts": 1539815916939123,
  72602. "dur": 46,
  72603. "args": {
  72604. "name": "tower_2/dropout_1/dropout/mul-1-TransposeNHWCToNCHW-LayoutOptimizer",
  72605. "op": "Transpose",
  72606. "input0": "tower_2/dropout_1/dropout/Floor",
  72607. "input1": "PermConstNHWCToNCHW-LayoutOptimizer/_1387"
  72608. }
  72609. },
  72610. {
  72611. "ph": "s",
  72612. "cat": "DataFlow",
  72613. "name": "PermConstNHWCToNCHW-LayoutOptimizer",
  72614. "pid": 41,
  72615. "tid": 0,
  72616. "ts": 1539815912099159,
  72617. "id": 119
  72618. },
  72619. {
  72620. "ph": "t",
  72621. "cat": "DataFlow",
  72622. "name": "PermConstNHWCToNCHW-LayoutOptimizer",
  72623. "pid": 31,
  72624. "tid": 0,
  72625. "ts": 1539815916939123,
  72626. "id": 119
  72627. },
  72628. {
  72629. "ph": "X",
  72630. "cat": "Op",
  72631. "name": "Mul",
  72632. "pid": 31,
  72633. "tid": 0,
  72634. "ts": 1539815916939177,
  72635. "dur": 27,
  72636. "args": {
  72637. "name": "tower_2/dropout_1/dropout/mul",
  72638. "op": "Mul",
  72639. "input0": "tower_2/dropout_1/dropout/div",
  72640. "input1": "tower_2/dropout_1/dropout/mul-1-TransposeNHWCToNCHW-LayoutOptimizer"
  72641. }
  72642. },
  72643. {
  72644. "ph": "X",
  72645. "cat": "Op",
  72646. "name": "FusedBatchNorm",
  72647. "pid": 31,
  72648. "tid": 0,
  72649. "ts": 1539815916939209,
  72650. "dur": 70,
  72651. "args": {
  72652. "name": "tower_2/batch_normalization_2/FusedBatchNorm",
  72653. "op": "FusedBatchNorm",
  72654. "input0": "tower_2/dropout_1/dropout/mul",
  72655. "input1": "tower_2/batch_normalization_2/ReadVariableOp",
  72656. "input2": "tower_2/batch_normalization_2/ReadVariableOp_1",
  72657. "input3": "tower_2/batch_normalization/Const",
  72658. "input4": "tower_2/batch_normalization/Const"
  72659. }
  72660. },
  72661. {
  72662. "ph": "X",
  72663. "cat": "Op",
  72664. "name": "Sub",
  72665. "pid": 31,
  72666. "tid": 0,
  72667. "ts": 1539815916939288,
  72668. "dur": 26,
  72669. "args": {
  72670. "name": "tower_2/batch_normalization_2/AssignMovingAvg/sub_1",
  72671. "op": "Sub",
  72672. "input0": "tower_2/batch_normalization_2/AssignMovingAvg/ReadVariableOp",
  72673. "input1": "tower_2/batch_normalization_2/FusedBatchNorm:1"
  72674. }
  72675. },
  72676. {
  72677. "ph": "X",
  72678. "cat": "Op",
  72679. "name": "Sub",
  72680. "pid": 31,
  72681. "tid": 0,
  72682. "ts": 1539815916939318,
  72683. "dur": 20,
  72684. "args": {
  72685. "name": "tower_2/batch_normalization_2/AssignMovingAvg_1/sub_1",
  72686. "op": "Sub",
  72687. "input0": "tower_2/batch_normalization_2/AssignMovingAvg_1/ReadVariableOp",
  72688. "input1": "tower_2/batch_normalization_2/FusedBatchNorm:2"
  72689. }
  72690. },
  72691. {
  72692. "ph": "X",
  72693. "cat": "Op",
  72694. "name": "ShapeN",
  72695. "pid": 31,
  72696. "tid": 0,
  72697. "ts": 1539815916939342,
  72698. "dur": 13,
  72699. "args": {
  72700. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/ShapeN",
  72701. "op": "ShapeN",
  72702. "input0": "tower_2/batch_normalization_2/FusedBatchNorm",
  72703. "input1": "tower_2/conv2d_2/Conv2D/ReadVariableOp"
  72704. }
  72705. },
  72706. {
  72707. "ph": "X",
  72708. "cat": "Op",
  72709. "name": "Conv2D",
  72710. "pid": 31,
  72711. "tid": 0,
  72712. "ts": 1539815916939358,
  72713. "dur": 24306,
  72714. "args": {
  72715. "name": "tower_2/conv2d_2/Conv2D",
  72716. "op": "Conv2D",
  72717. "input0": "tower_2/batch_normalization_2/FusedBatchNorm",
  72718. "input1": "tower_2/conv2d_2/Conv2D/ReadVariableOp"
  72719. }
  72720. },
  72721. {
  72722. "ph": "X",
  72723. "cat": "Op",
  72724. "name": "Mul",
  72725. "pid": 31,
  72726. "tid": 0,
  72727. "ts": 1539815916963675,
  72728. "dur": 29,
  72729. "args": {
  72730. "name": "tower_2/batch_normalization_2/AssignMovingAvg/mul",
  72731. "op": "Mul",
  72732. "input0": "tower_2/batch_normalization_2/AssignMovingAvg/sub_1",
  72733. "input1": "tower_2/batch_normalization/AssignMovingAvg/sub"
  72734. }
  72735. },
  72736. {
  72737. "ph": "X",
  72738. "cat": "Op",
  72739. "name": "Mul",
  72740. "pid": 31,
  72741. "tid": 0,
  72742. "ts": 1539815916963708,
  72743. "dur": 21,
  72744. "args": {
  72745. "name": "tower_2/batch_normalization_2/AssignMovingAvg_1/mul",
  72746. "op": "Mul",
  72747. "input0": "tower_2/batch_normalization_2/AssignMovingAvg_1/sub_1",
  72748. "input1": "tower_2/batch_normalization/AssignMovingAvg/sub"
  72749. }
  72750. },
  72751. {
  72752. "ph": "X",
  72753. "cat": "Op",
  72754. "name": "Const",
  72755. "pid": 31,
  72756. "tid": 0,
  72757. "ts": 1539815916963733,
  72758. "dur": 7,
  72759. "args": {
  72760. "name": "ConstantFolding/tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/ShapeN-matshapes-1",
  72761. "op": "Const",
  72762. "input0": "^tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/ShapeN"
  72763. }
  72764. },
  72765. {
  72766. "ph": "X",
  72767. "cat": "Op",
  72768. "name": "BiasAdd",
  72769. "pid": 31,
  72770. "tid": 0,
  72771. "ts": 1539815916963742,
  72772. "dur": 20,
  72773. "args": {
  72774. "name": "tower_2/conv2d_2/BiasAdd",
  72775. "op": "BiasAdd",
  72776. "input0": "tower_2/conv2d_2/Conv2D",
  72777. "input1": "tower_2/conv2d_2/BiasAdd/ReadVariableOp"
  72778. }
  72779. },
  72780. {
  72781. "ph": "X",
  72782. "cat": "Op",
  72783. "name": "AssignSubVariableOp",
  72784. "pid": 31,
  72785. "tid": 0,
  72786. "ts": 1539815916963766,
  72787. "dur": 51,
  72788. "args": {
  72789. "name": "tower_2/batch_normalization_2/AssignMovingAvg/AssignSubVariableOp",
  72790. "op": "AssignSubVariableOp",
  72791. "input0": "batch_normalization_2/moving_mean/replica_2",
  72792. "input1": "tower_2/batch_normalization_2/AssignMovingAvg/mul"
  72793. }
  72794. },
  72795. {
  72796. "ph": "X",
  72797. "cat": "Op",
  72798. "name": "AssignSubVariableOp",
  72799. "pid": 31,
  72800. "tid": 0,
  72801. "ts": 1539815916963820,
  72802. "dur": 39,
  72803. "args": {
  72804. "name": "tower_2/batch_normalization_2/AssignMovingAvg_1/AssignSubVariableOp",
  72805. "op": "AssignSubVariableOp",
  72806. "input0": "batch_normalization_2/moving_variance/replica_2",
  72807. "input1": "tower_2/batch_normalization_2/AssignMovingAvg_1/mul"
  72808. }
  72809. },
  72810. {
  72811. "ph": "X",
  72812. "cat": "Op",
  72813. "name": "Elu",
  72814. "pid": 31,
  72815. "tid": 0,
  72816. "ts": 1539815916963863,
  72817. "dur": 22,
  72818. "args": {
  72819. "name": "tower_2/conv2d_2/Elu",
  72820. "op": "Elu",
  72821. "input0": "tower_2/conv2d_2/BiasAdd"
  72822. }
  72823. },
  72824. {
  72825. "ph": "X",
  72826. "cat": "Op",
  72827. "name": "MaxPool",
  72828. "pid": 31,
  72829. "tid": 0,
  72830. "ts": 1539815916963888,
  72831. "dur": 39,
  72832. "args": {
  72833. "name": "tower_2/max_pooling2d_2/MaxPool",
  72834. "op": "MaxPool",
  72835. "input0": "tower_2/conv2d_2/Elu"
  72836. }
  72837. },
  72838. {
  72839. "ph": "X",
  72840. "cat": "Op",
  72841. "name": "Shape",
  72842. "pid": 31,
  72843. "tid": 0,
  72844. "ts": 1539815916963934,
  72845. "dur": 10,
  72846. "args": {
  72847. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_2/dropout/div_grad/Shape",
  72848. "op": "Shape",
  72849. "input0": "tower_2/max_pooling2d_2/MaxPool"
  72850. }
  72851. },
  72852. {
  72853. "ph": "X",
  72854. "cat": "Op",
  72855. "name": "Mul",
  72856. "pid": 31,
  72857. "tid": 0,
  72858. "ts": 1539815916963947,
  72859. "dur": 27,
  72860. "args": {
  72861. "name": "tower_2/dropout_2/dropout/div",
  72862. "op": "Mul",
  72863. "input0": "tower_2/max_pooling2d_2/MaxPool",
  72864. "input1": "ConstantFolding/tower_2/training/TFOptimizer/gradients/tower_2/dropout/dropout/div_grad/RealDiv_recip"
  72865. }
  72866. },
  72867. {
  72868. "ph": "X",
  72869. "cat": "Op",
  72870. "name": "DataFormatVecPermute",
  72871. "pid": 31,
  72872. "tid": 0,
  72873. "ts": 1539815916963980,
  72874. "dur": 14,
  72875. "args": {
  72876. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_2/dropout/div_grad/Shape-0-1-VecPermuteNCHWToNHWC-LayoutOptimizer",
  72877. "op": "DataFormatVecPermute",
  72878. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_2/dropout/div_grad/Shape"
  72879. }
  72880. },
  72881. {
  72882. "ph": "X",
  72883. "cat": "Op",
  72884. "name": "BroadcastGradientArgs",
  72885. "pid": 31,
  72886. "tid": 0,
  72887. "ts": 1539815916963997,
  72888. "dur": 10,
  72889. "args": {
  72890. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_2/dropout/div_grad/BroadcastGradientArgs",
  72891. "op": "BroadcastGradientArgs",
  72892. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_2/dropout/div_grad/Shape-1-0-VecPermuteNCHWToNHWC-LayoutOptimizer",
  72893. "input1": "tower_2/training/TFOptimizer/gradients/tower_2/dropout/dropout/div_grad/Shape_1"
  72894. }
  72895. },
  72896. {
  72897. "ph": "X",
  72898. "cat": "Op",
  72899. "name": "RandomUniform",
  72900. "pid": 31,
  72901. "tid": 0,
  72902. "ts": 1539815916964010,
  72903. "dur": 23,
  72904. "args": {
  72905. "name": "tower_2/dropout_2/dropout/random_uniform/RandomUniform",
  72906. "op": "RandomUniform",
  72907. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_2/dropout/div_grad/Shape-2-0-VecPermuteNCHWToNHWC-LayoutOptimizer"
  72908. }
  72909. },
  72910. {
  72911. "ph": "X",
  72912. "cat": "Op",
  72913. "name": "Add",
  72914. "pid": 31,
  72915. "tid": 0,
  72916. "ts": 1539815916964039,
  72917. "dur": 23,
  72918. "args": {
  72919. "name": "tower_2/dropout_2/dropout/add",
  72920. "op": "Add",
  72921. "input0": "tower_2/dropout_2/dropout/keep_prob",
  72922. "input1": "tower_2/dropout_2/dropout/random_uniform/RandomUniform"
  72923. }
  72924. },
  72925. {
  72926. "ph": "X",
  72927. "cat": "Op",
  72928. "name": "Floor",
  72929. "pid": 31,
  72930. "tid": 0,
  72931. "ts": 1539815916964066,
  72932. "dur": 19,
  72933. "args": {
  72934. "name": "tower_2/dropout_2/dropout/Floor",
  72935. "op": "Floor",
  72936. "input0": "tower_2/dropout_2/dropout/add"
  72937. }
  72938. },
  72939. {
  72940. "ph": "X",
  72941. "cat": "Op",
  72942. "name": "Transpose",
  72943. "pid": 31,
  72944. "tid": 0,
  72945. "ts": 1539815916964089,
  72946. "dur": 1014,
  72947. "args": {
  72948. "name": "tower_2/dropout_2/dropout/mul-1-TransposeNHWCToNCHW-LayoutOptimizer",
  72949. "op": "Transpose",
  72950. "input0": "tower_2/dropout_2/dropout/Floor",
  72951. "input1": "PermConstNHWCToNCHW-LayoutOptimizer/_1387"
  72952. }
  72953. },
  72954. {
  72955. "ph": "s",
  72956. "cat": "DataFlow",
  72957. "name": "PermConstNHWCToNCHW-LayoutOptimizer",
  72958. "pid": 41,
  72959. "tid": 0,
  72960. "ts": 1539815912099159,
  72961. "id": 120
  72962. },
  72963. {
  72964. "ph": "t",
  72965. "cat": "DataFlow",
  72966. "name": "PermConstNHWCToNCHW-LayoutOptimizer",
  72967. "pid": 31,
  72968. "tid": 0,
  72969. "ts": 1539815916964089,
  72970. "id": 120
  72971. },
  72972. {
  72973. "ph": "X",
  72974. "cat": "Op",
  72975. "name": "Mul",
  72976. "pid": 31,
  72977. "tid": 0,
  72978. "ts": 1539815916965111,
  72979. "dur": 28,
  72980. "args": {
  72981. "name": "tower_2/dropout_2/dropout/mul",
  72982. "op": "Mul",
  72983. "input0": "tower_2/dropout_2/dropout/div",
  72984. "input1": "tower_2/dropout_2/dropout/mul-1-TransposeNHWCToNCHW-LayoutOptimizer"
  72985. }
  72986. },
  72987. {
  72988. "ph": "X",
  72989. "cat": "Op",
  72990. "name": "Shape",
  72991. "pid": 31,
  72992. "tid": 0,
  72993. "ts": 1539815916965143,
  72994. "dur": 19,
  72995. "args": {
  72996. "name": "tower_2/training/TFOptimizer/gradients/tower_2/flatten/Reshape_grad/Shape",
  72997. "op": "Shape",
  72998. "input0": "tower_2/dropout_2/dropout/mul"
  72999. }
  73000. },
  73001. {
  73002. "ph": "X",
  73003. "cat": "Op",
  73004. "name": "Transpose",
  73005. "pid": 31,
  73006. "tid": 0,
  73007. "ts": 1539815916965165,
  73008. "dur": 30,
  73009. "args": {
  73010. "name": "tower_2/dropout_2/dropout/mul-1-0-TransposeNCHWToNHWC-LayoutOptimizer",
  73011. "op": "Transpose",
  73012. "input0": "tower_2/dropout_2/dropout/mul",
  73013. "input1": "PermConstNCHWToNHWC-LayoutOptimizer/_1393"
  73014. }
  73015. },
  73016. {
  73017. "ph": "s",
  73018. "cat": "DataFlow",
  73019. "name": "PermConstNCHWToNHWC-LayoutOptimizer",
  73020. "pid": 41,
  73021. "tid": 0,
  73022. "ts": 1539815912099168,
  73023. "id": 121
  73024. },
  73025. {
  73026. "ph": "t",
  73027. "cat": "DataFlow",
  73028. "name": "PermConstNCHWToNHWC-LayoutOptimizer",
  73029. "pid": 31,
  73030. "tid": 0,
  73031. "ts": 1539815916965165,
  73032. "id": 121
  73033. },
  73034. {
  73035. "ph": "X",
  73036. "cat": "Op",
  73037. "name": "DataFormatVecPermute",
  73038. "pid": 31,
  73039. "tid": 0,
  73040. "ts": 1539815916965201,
  73041. "dur": 19,
  73042. "args": {
  73043. "name": "tower_2/training/TFOptimizer/gradients/tower_2/flatten/Reshape_grad/Shape-0-1-VecPermuteNCHWToNHWC-LayoutOptimizer",
  73044. "op": "DataFormatVecPermute",
  73045. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/flatten/Reshape_grad/Shape"
  73046. }
  73047. },
  73048. {
  73049. "ph": "X",
  73050. "cat": "Op",
  73051. "name": "StridedSlice",
  73052. "pid": 31,
  73053. "tid": 0,
  73054. "ts": 1539815916965224,
  73055. "dur": 11,
  73056. "args": {
  73057. "name": "tower_2/flatten/strided_slice",
  73058. "op": "StridedSlice",
  73059. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/flatten/Reshape_grad/Shape-1-0-VecPermuteNCHWToNHWC-LayoutOptimizer",
  73060. "input1": "tower_2/metrics/sparse_categorical_accuracy/Const",
  73061. "input2": "tower_2/flatten/strided_slice/stack_1",
  73062. "input3": "tower_2/flatten/strided_slice/stack_1"
  73063. }
  73064. },
  73065. {
  73066. "ph": "X",
  73067. "cat": "Op",
  73068. "name": "Pack",
  73069. "pid": 31,
  73070. "tid": 0,
  73071. "ts": 1539815916965240,
  73072. "dur": 13,
  73073. "args": {
  73074. "name": "tower_2/flatten/Reshape/shape",
  73075. "op": "Pack",
  73076. "input0": "tower_2/flatten/strided_slice",
  73077. "input1": "tower_2/metrics/sparse_categorical_accuracy/Max/reduction_indices"
  73078. }
  73079. },
  73080. {
  73081. "ph": "X",
  73082. "cat": "Op",
  73083. "name": "Reshape",
  73084. "pid": 31,
  73085. "tid": 0,
  73086. "ts": 1539815916965256,
  73087. "dur": 10,
  73088. "args": {
  73089. "name": "tower_2/flatten/Reshape",
  73090. "op": "Reshape",
  73091. "input0": "tower_2/dropout_2/dropout/mul-1-0-TransposeNCHWToNHWC-LayoutOptimizer",
  73092. "input1": "tower_2/flatten/Reshape/shape"
  73093. }
  73094. },
  73095. {
  73096. "ph": "X",
  73097. "cat": "Op",
  73098. "name": "MatMul",
  73099. "pid": 31,
  73100. "tid": 0,
  73101. "ts": 1539815916965270,
  73102. "dur": 2730,
  73103. "args": {
  73104. "name": "tower_2/dense/MatMul",
  73105. "op": "MatMul",
  73106. "input0": "tower_2/flatten/Reshape",
  73107. "input1": "tower_2/dense/MatMul/ReadVariableOp"
  73108. }
  73109. },
  73110. {
  73111. "ph": "X",
  73112. "cat": "Op",
  73113. "name": "BiasAdd",
  73114. "pid": 31,
  73115. "tid": 0,
  73116. "ts": 1539815916968009,
  73117. "dur": 29,
  73118. "args": {
  73119. "name": "tower_2/dense/BiasAdd",
  73120. "op": "BiasAdd",
  73121. "input0": "tower_2/dense/MatMul",
  73122. "input1": "tower_2/dense/BiasAdd/ReadVariableOp"
  73123. }
  73124. },
  73125. {
  73126. "ph": "X",
  73127. "cat": "Op",
  73128. "name": "Elu",
  73129. "pid": 31,
  73130. "tid": 0,
  73131. "ts": 1539815916968042,
  73132. "dur": 20,
  73133. "args": {
  73134. "name": "tower_2/activation/Elu",
  73135. "op": "Elu",
  73136. "input0": "tower_2/dense/BiasAdd"
  73137. }
  73138. },
  73139. {
  73140. "ph": "X",
  73141. "cat": "Op",
  73142. "name": "Shape",
  73143. "pid": 31,
  73144. "tid": 0,
  73145. "ts": 1539815916968065,
  73146. "dur": 10,
  73147. "args": {
  73148. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_3/dropout/div_grad/Shape",
  73149. "op": "Shape",
  73150. "input0": "tower_2/activation/Elu"
  73151. }
  73152. },
  73153. {
  73154. "ph": "X",
  73155. "cat": "Op",
  73156. "name": "Mul",
  73157. "pid": 31,
  73158. "tid": 0,
  73159. "ts": 1539815916968078,
  73160. "dur": 25,
  73161. "args": {
  73162. "name": "tower_2/dropout_3/dropout/div",
  73163. "op": "Mul",
  73164. "input0": "tower_2/activation/Elu",
  73165. "input1": "ConstantFolding/tower_2/training/TFOptimizer/gradients/tower_2/dropout_3/dropout/div_grad/RealDiv_recip"
  73166. }
  73167. },
  73168. {
  73169. "ph": "X",
  73170. "cat": "Op",
  73171. "name": "BroadcastGradientArgs",
  73172. "pid": 31,
  73173. "tid": 0,
  73174. "ts": 1539815916968110,
  73175. "dur": 13,
  73176. "args": {
  73177. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_3/dropout/div_grad/BroadcastGradientArgs",
  73178. "op": "BroadcastGradientArgs",
  73179. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_3/dropout/div_grad/Shape",
  73180. "input1": "tower_2/training/TFOptimizer/gradients/tower_2/dropout/dropout/div_grad/Shape_1"
  73181. }
  73182. },
  73183. {
  73184. "ph": "X",
  73185. "cat": "Op",
  73186. "name": "RandomUniform",
  73187. "pid": 31,
  73188. "tid": 0,
  73189. "ts": 1539815916968126,
  73190. "dur": 25,
  73191. "args": {
  73192. "name": "tower_2/dropout_3/dropout/random_uniform/RandomUniform",
  73193. "op": "RandomUniform",
  73194. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_3/dropout/div_grad/Shape"
  73195. }
  73196. },
  73197. {
  73198. "ph": "X",
  73199. "cat": "Op",
  73200. "name": "Add",
  73201. "pid": 31,
  73202. "tid": 0,
  73203. "ts": 1539815916968157,
  73204. "dur": 23,
  73205. "args": {
  73206. "name": "tower_2/dropout_3/dropout/add",
  73207. "op": "Add",
  73208. "input0": "tower_2/dropout_3/dropout/keep_prob",
  73209. "input1": "tower_2/dropout_3/dropout/random_uniform/RandomUniform"
  73210. }
  73211. },
  73212. {
  73213. "ph": "X",
  73214. "cat": "Op",
  73215. "name": "Floor",
  73216. "pid": 31,
  73217. "tid": 0,
  73218. "ts": 1539815916968183,
  73219. "dur": 20,
  73220. "args": {
  73221. "name": "tower_2/dropout_3/dropout/Floor",
  73222. "op": "Floor",
  73223. "input0": "tower_2/dropout_3/dropout/add"
  73224. }
  73225. },
  73226. {
  73227. "ph": "X",
  73228. "cat": "Op",
  73229. "name": "Mul",
  73230. "pid": 31,
  73231. "tid": 0,
  73232. "ts": 1539815916968206,
  73233. "dur": 20,
  73234. "args": {
  73235. "name": "tower_2/dropout_3/dropout/mul",
  73236. "op": "Mul",
  73237. "input0": "tower_2/dropout_3/dropout/div",
  73238. "input1": "tower_2/dropout_3/dropout/Floor"
  73239. }
  73240. },
  73241. {
  73242. "ph": "X",
  73243. "cat": "Op",
  73244. "name": "MatMul",
  73245. "pid": 31,
  73246. "tid": 0,
  73247. "ts": 1539815916968230,
  73248. "dur": 32,
  73249. "args": {
  73250. "name": "tower_2/dense_1/MatMul",
  73251. "op": "MatMul",
  73252. "input0": "tower_2/dropout_3/dropout/mul",
  73253. "input1": "tower_2/dense_1/MatMul/ReadVariableOp"
  73254. }
  73255. },
  73256. {
  73257. "ph": "X",
  73258. "cat": "Op",
  73259. "name": "BiasAdd",
  73260. "pid": 31,
  73261. "tid": 0,
  73262. "ts": 1539815916968266,
  73263. "dur": 22,
  73264. "args": {
  73265. "name": "tower_2/dense_1/BiasAdd",
  73266. "op": "BiasAdd",
  73267. "input0": "tower_2/dense_1/MatMul",
  73268. "input1": "tower_2/dense_1/BiasAdd/ReadVariableOp"
  73269. }
  73270. },
  73271. {
  73272. "ph": "X",
  73273. "cat": "Op",
  73274. "name": "Softmax",
  73275. "pid": 31,
  73276. "tid": 0,
  73277. "ts": 1539815916968291,
  73278. "dur": 3143,
  73279. "args": {
  73280. "name": "tower_2/activation_1/Softmax",
  73281. "op": "Softmax",
  73282. "input0": "tower_2/dense_1/BiasAdd"
  73283. }
  73284. },
  73285. {
  73286. "ph": "X",
  73287. "cat": "Op",
  73288. "name": "LessEqual",
  73289. "pid": 31,
  73290. "tid": 0,
  73291. "ts": 1539815916971438,
  73292. "dur": 2759,
  73293. "args": {
  73294. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value/Minimum_grad/LessEqual",
  73295. "op": "LessEqual",
  73296. "input0": "tower_2/activation_1/Softmax",
  73297. "input1": "tower_2/loss/activation_1_loss/sub"
  73298. }
  73299. },
  73300. {
  73301. "ph": "X",
  73302. "cat": "Op",
  73303. "name": "Minimum",
  73304. "pid": 31,
  73305. "tid": 0,
  73306. "ts": 1539815916974204,
  73307. "dur": 55,
  73308. "args": {
  73309. "name": "tower_2/loss/activation_1_loss/clip_by_value/Minimum",
  73310. "op": "Minimum",
  73311. "input0": "tower_2/activation_1/Softmax",
  73312. "input1": "tower_2/loss/activation_1_loss/sub"
  73313. }
  73314. },
  73315. {
  73316. "ph": "X",
  73317. "cat": "Op",
  73318. "name": "Shape",
  73319. "pid": 31,
  73320. "tid": 0,
  73321. "ts": 1539815916974283,
  73322. "dur": 11,
  73323. "args": {
  73324. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value/Minimum_grad/Shape",
  73325. "op": "Shape",
  73326. "input0": "tower_2/activation_1/Softmax"
  73327. }
  73328. },
  73329. {
  73330. "ph": "X",
  73331. "cat": "Op",
  73332. "name": "GreaterEqual",
  73333. "pid": 31,
  73334. "tid": 0,
  73335. "ts": 1539815916974297,
  73336. "dur": 1541,
  73337. "args": {
  73338. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value_grad/GreaterEqual",
  73339. "op": "GreaterEqual",
  73340. "input0": "tower_2/loss/activation_1_loss/clip_by_value/Minimum",
  73341. "input1": "tower_2/loss/activation_1_loss/Const"
  73342. }
  73343. },
  73344. {
  73345. "ph": "X",
  73346. "cat": "Op",
  73347. "name": "Maximum",
  73348. "pid": 31,
  73349. "tid": 0,
  73350. "ts": 1539815916975843,
  73351. "dur": 32,
  73352. "args": {
  73353. "name": "tower_2/loss/activation_1_loss/clip_by_value",
  73354. "op": "Maximum",
  73355. "input0": "tower_2/loss/activation_1_loss/clip_by_value/Minimum",
  73356. "input1": "tower_2/loss/activation_1_loss/Const"
  73357. }
  73358. },
  73359. {
  73360. "ph": "X",
  73361. "cat": "Op",
  73362. "name": "Shape",
  73363. "pid": 31,
  73364. "tid": 0,
  73365. "ts": 1539815916975879,
  73366. "dur": 12,
  73367. "args": {
  73368. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value_grad/Shape",
  73369. "op": "Shape",
  73370. "input0": "tower_2/loss/activation_1_loss/clip_by_value/Minimum"
  73371. }
  73372. },
  73373. {
  73374. "ph": "X",
  73375. "cat": "Op",
  73376. "name": "BroadcastGradientArgs",
  73377. "pid": 31,
  73378. "tid": 0,
  73379. "ts": 1539815916975894,
  73380. "dur": 11,
  73381. "args": {
  73382. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value/Minimum_grad/BroadcastGradientArgs",
  73383. "op": "BroadcastGradientArgs",
  73384. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value/Minimum_grad/Shape",
  73385. "input1": "tower_2/training/TFOptimizer/gradients/tower_2/dropout/dropout/div_grad/Shape_1"
  73386. }
  73387. },
  73388. {
  73389. "ph": "X",
  73390. "cat": "Op",
  73391. "name": "Log",
  73392. "pid": 31,
  73393. "tid": 0,
  73394. "ts": 1539815916975909,
  73395. "dur": 24,
  73396. "args": {
  73397. "name": "tower_2/loss/activation_1_loss/Log",
  73398. "op": "Log",
  73399. "input0": "tower_2/loss/activation_1_loss/clip_by_value"
  73400. }
  73401. },
  73402. {
  73403. "ph": "X",
  73404. "cat": "Op",
  73405. "name": "BroadcastGradientArgs",
  73406. "pid": 31,
  73407. "tid": 0,
  73408. "ts": 1539815916975936,
  73409. "dur": 13,
  73410. "args": {
  73411. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value_grad/BroadcastGradientArgs",
  73412. "op": "BroadcastGradientArgs",
  73413. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value_grad/Shape",
  73414. "input1": "tower_2/training/TFOptimizer/gradients/tower_2/dropout/dropout/div_grad/Shape_1"
  73415. }
  73416. },
  73417. {
  73418. "ph": "X",
  73419. "cat": "Op",
  73420. "name": "SparseSoftmaxCrossEntropyWithLogits",
  73421. "pid": 31,
  73422. "tid": 0,
  73423. "ts": 1539815916975952,
  73424. "dur": 127,
  73425. "args": {
  73426. "name": "tower_2/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  73427. "op": "SparseSoftmaxCrossEntropyWithLogits",
  73428. "input0": "tower_2/loss/activation_1_loss/Log",
  73429. "input1": "tower_2/loss/activation_1_loss/Cast"
  73430. }
  73431. },
  73432. {
  73433. "ph": "X",
  73434. "cat": "Op",
  73435. "name": "Mean",
  73436. "pid": 31,
  73437. "tid": 0,
  73438. "ts": 1539815916976084,
  73439. "dur": 6162,
  73440. "args": {
  73441. "name": "tower_2/loss/activation_1_loss/Mean",
  73442. "op": "Mean",
  73443. "input0": "tower_2/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  73444. "input1": "tower_2/metrics/sparse_categorical_accuracy/Const"
  73445. }
  73446. },
  73447. {
  73448. "ph": "X",
  73449. "cat": "Op",
  73450. "name": "Shape",
  73451. "pid": 31,
  73452. "tid": 0,
  73453. "ts": 1539815916982251,
  73454. "dur": 11,
  73455. "args": {
  73456. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/Mean_grad/Shape",
  73457. "op": "Shape",
  73458. "input0": "tower_2/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits"
  73459. }
  73460. },
  73461. {
  73462. "ph": "X",
  73463. "cat": "Op",
  73464. "name": "Const",
  73465. "pid": 31,
  73466. "tid": 0,
  73467. "ts": 1539815916982350,
  73468. "dur": 10,
  73469. "args": {
  73470. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/Mean_grad/Reshape",
  73471. "op": "Const",
  73472. "input0": "^tower_2/loss/activation_1_loss/Mean"
  73473. }
  73474. },
  73475. {
  73476. "ph": "X",
  73477. "cat": "Op",
  73478. "name": "Size",
  73479. "pid": 31,
  73480. "tid": 0,
  73481. "ts": 1539815916982363,
  73482. "dur": 11,
  73483. "args": {
  73484. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/Mean_grad/Prod",
  73485. "op": "Size",
  73486. "input0": "tower_2/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  73487. "input1": "^tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/Mean_grad/Shape"
  73488. }
  73489. },
  73490. {
  73491. "ph": "X",
  73492. "cat": "Op",
  73493. "name": "Tile",
  73494. "pid": 31,
  73495. "tid": 0,
  73496. "ts": 1539815916982378,
  73497. "dur": 1383,
  73498. "args": {
  73499. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/Mean_grad/Tile",
  73500. "op": "Tile",
  73501. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/Mean_grad/Reshape",
  73502. "input1": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/Mean_grad/Shape"
  73503. }
  73504. },
  73505. {
  73506. "ph": "X",
  73507. "cat": "Op",
  73508. "name": "Cast",
  73509. "pid": 31,
  73510. "tid": 0,
  73511. "ts": 1539815916983947,
  73512. "dur": 39,
  73513. "args": {
  73514. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/Mean_grad/Cast",
  73515. "op": "Cast",
  73516. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/Mean_grad/Prod/_1409"
  73517. }
  73518. },
  73519. {
  73520. "ph": "X",
  73521. "cat": "Op",
  73522. "name": "RealDiv",
  73523. "pid": 31,
  73524. "tid": 0,
  73525. "ts": 1539815916983990,
  73526. "dur": 1538,
  73527. "args": {
  73528. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/Mean_grad/truediv",
  73529. "op": "RealDiv",
  73530. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/Mean_grad/Tile",
  73531. "input1": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/Mean_grad/Cast"
  73532. }
  73533. },
  73534. {
  73535. "ph": "X",
  73536. "cat": "Op",
  73537. "name": "ExpandDims",
  73538. "pid": 31,
  73539. "tid": 0,
  73540. "ts": 1539815916985532,
  73541. "dur": 9,
  73542. "args": {
  73543. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits_grad/ExpandDims",
  73544. "op": "ExpandDims",
  73545. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/Mean_grad/truediv",
  73546. "input1": "tower_2/metrics/sparse_categorical_accuracy/Max/reduction_indices"
  73547. }
  73548. },
  73549. {
  73550. "ph": "X",
  73551. "cat": "Op",
  73552. "name": "Mul",
  73553. "pid": 31,
  73554. "tid": 0,
  73555. "ts": 1539815916985544,
  73556. "dur": 949,
  73557. "args": {
  73558. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits_grad/mul",
  73559. "op": "Mul",
  73560. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits_grad/ExpandDims",
  73561. "input1": "tower_2/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits:1"
  73562. }
  73563. },
  73564. {
  73565. "ph": "X",
  73566. "cat": "Op",
  73567. "name": "Reciprocal",
  73568. "pid": 31,
  73569. "tid": 0,
  73570. "ts": 1539815916986497,
  73571. "dur": 29,
  73572. "args": {
  73573. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/Log_grad/Reciprocal",
  73574. "op": "Reciprocal",
  73575. "input0": "tower_2/loss/activation_1_loss/clip_by_value",
  73576. "input1": "^tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits_grad/mul"
  73577. }
  73578. },
  73579. {
  73580. "ph": "X",
  73581. "cat": "Op",
  73582. "name": "Mul",
  73583. "pid": 31,
  73584. "tid": 0,
  73585. "ts": 1539815916986530,
  73586. "dur": 32,
  73587. "args": {
  73588. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/Log_grad/mul",
  73589. "op": "Mul",
  73590. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits_grad/mul",
  73591. "input1": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/Log_grad/Reciprocal"
  73592. }
  73593. },
  73594. {
  73595. "ph": "X",
  73596. "cat": "Op",
  73597. "name": "Shape",
  73598. "pid": 31,
  73599. "tid": 0,
  73600. "ts": 1539815916986630,
  73601. "dur": 13,
  73602. "args": {
  73603. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value_grad/Shape_2",
  73604. "op": "Shape",
  73605. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/Log_grad/mul"
  73606. }
  73607. },
  73608. {
  73609. "ph": "X",
  73610. "cat": "Op",
  73611. "name": "Fill",
  73612. "pid": 31,
  73613. "tid": 0,
  73614. "ts": 1539815916986646,
  73615. "dur": 111,
  73616. "args": {
  73617. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value_grad/zeros",
  73618. "op": "Fill",
  73619. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value_grad/Shape_2",
  73620. "input1": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value/Minimum_grad/zeros/Const"
  73621. }
  73622. },
  73623. {
  73624. "ph": "X",
  73625. "cat": "Op",
  73626. "name": "Select",
  73627. "pid": 31,
  73628. "tid": 0,
  73629. "ts": 1539815916986761,
  73630. "dur": 37,
  73631. "args": {
  73632. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value_grad/Select",
  73633. "op": "Select",
  73634. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value_grad/GreaterEqual",
  73635. "input1": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/Log_grad/mul",
  73636. "input2": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value_grad/zeros"
  73637. }
  73638. },
  73639. {
  73640. "ph": "X",
  73641. "cat": "Op",
  73642. "name": "Sum",
  73643. "pid": 31,
  73644. "tid": 0,
  73645. "ts": 1539815916986802,
  73646. "dur": 3994,
  73647. "args": {
  73648. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value_grad/Sum",
  73649. "op": "Sum",
  73650. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value_grad/Select",
  73651. "input1": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value_grad/BroadcastGradientArgs"
  73652. }
  73653. },
  73654. {
  73655. "ph": "X",
  73656. "cat": "Op",
  73657. "name": "Reshape",
  73658. "pid": 31,
  73659. "tid": 0,
  73660. "ts": 1539815916990804,
  73661. "dur": 9,
  73662. "args": {
  73663. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value_grad/Reshape",
  73664. "op": "Reshape",
  73665. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value_grad/Sum",
  73666. "input1": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value_grad/Shape"
  73667. }
  73668. },
  73669. {
  73670. "ph": "X",
  73671. "cat": "Op",
  73672. "name": "Shape",
  73673. "pid": 31,
  73674. "tid": 0,
  73675. "ts": 1539815916990815,
  73676. "dur": 9,
  73677. "args": {
  73678. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value/Minimum_grad/Shape_2",
  73679. "op": "Shape",
  73680. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value_grad/Reshape"
  73681. }
  73682. },
  73683. {
  73684. "ph": "X",
  73685. "cat": "Op",
  73686. "name": "Fill",
  73687. "pid": 31,
  73688. "tid": 0,
  73689. "ts": 1539815916990900,
  73690. "dur": 34,
  73691. "args": {
  73692. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value/Minimum_grad/zeros",
  73693. "op": "Fill",
  73694. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value/Minimum_grad/Shape_2",
  73695. "input1": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value/Minimum_grad/zeros/Const"
  73696. }
  73697. },
  73698. {
  73699. "ph": "X",
  73700. "cat": "Op",
  73701. "name": "Select",
  73702. "pid": 31,
  73703. "tid": 0,
  73704. "ts": 1539815916990938,
  73705. "dur": 27,
  73706. "args": {
  73707. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value/Minimum_grad/Select",
  73708. "op": "Select",
  73709. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value/Minimum_grad/LessEqual",
  73710. "input1": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value_grad/Reshape",
  73711. "input2": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value/Minimum_grad/zeros"
  73712. }
  73713. },
  73714. {
  73715. "ph": "X",
  73716. "cat": "Op",
  73717. "name": "Sum",
  73718. "pid": 31,
  73719. "tid": 0,
  73720. "ts": 1539815916990990,
  73721. "dur": 9,
  73722. "args": {
  73723. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value/Minimum_grad/Sum",
  73724. "op": "Sum",
  73725. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value/Minimum_grad/Select",
  73726. "input1": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value/Minimum_grad/BroadcastGradientArgs"
  73727. }
  73728. },
  73729. {
  73730. "ph": "X",
  73731. "cat": "Op",
  73732. "name": "Reshape",
  73733. "pid": 31,
  73734. "tid": 0,
  73735. "ts": 1539815916991006,
  73736. "dur": 8,
  73737. "args": {
  73738. "name": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value/Minimum_grad/Reshape",
  73739. "op": "Reshape",
  73740. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value/Minimum_grad/Sum",
  73741. "input1": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value/Minimum_grad/Shape"
  73742. }
  73743. },
  73744. {
  73745. "ph": "X",
  73746. "cat": "Op",
  73747. "name": "Mul",
  73748. "pid": 31,
  73749. "tid": 0,
  73750. "ts": 1539815916991038,
  73751. "dur": 35,
  73752. "args": {
  73753. "name": "tower_2/training/TFOptimizer/gradients/tower_2/activation_1/Softmax_grad/mul",
  73754. "op": "Mul",
  73755. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value/Minimum_grad/Reshape",
  73756. "input1": "tower_2/activation_1/Softmax",
  73757. "input2": "^tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value/Minimum_grad/zeros",
  73758. "input3": "^tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value/Minimum_grad/LessEqual"
  73759. }
  73760. },
  73761. {
  73762. "ph": "X",
  73763. "cat": "Op",
  73764. "name": "Sum",
  73765. "pid": 31,
  73766. "tid": 0,
  73767. "ts": 1539815916991082,
  73768. "dur": 34,
  73769. "args": {
  73770. "name": "tower_2/training/TFOptimizer/gradients/tower_2/activation_1/Softmax_grad/Sum",
  73771. "op": "Sum",
  73772. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/activation_1/Softmax_grad/mul",
  73773. "input1": "tower_2/metrics/sparse_categorical_accuracy/Max/reduction_indices"
  73774. }
  73775. },
  73776. {
  73777. "ph": "X",
  73778. "cat": "Op",
  73779. "name": "Sub",
  73780. "pid": 31,
  73781. "tid": 0,
  73782. "ts": 1539815916991120,
  73783. "dur": 71,
  73784. "args": {
  73785. "name": "tower_2/training/TFOptimizer/gradients/tower_2/activation_1/Softmax_grad/sub",
  73786. "op": "Sub",
  73787. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/clip_by_value/Minimum_grad/Reshape",
  73788. "input1": "tower_2/training/TFOptimizer/gradients/tower_2/activation_1/Softmax_grad/Sum"
  73789. }
  73790. },
  73791. {
  73792. "ph": "X",
  73793. "cat": "Op",
  73794. "name": "Mul",
  73795. "pid": 31,
  73796. "tid": 0,
  73797. "ts": 1539815916991195,
  73798. "dur": 75,
  73799. "args": {
  73800. "name": "tower_2/training/TFOptimizer/gradients/tower_2/activation_1/Softmax_grad/mul_1",
  73801. "op": "Mul",
  73802. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/activation_1/Softmax_grad/sub",
  73803. "input1": "tower_2/activation_1/Softmax"
  73804. }
  73805. },
  73806. {
  73807. "ph": "X",
  73808. "cat": "Op",
  73809. "name": "BiasAddGrad",
  73810. "pid": 31,
  73811. "tid": 0,
  73812. "ts": 1539815916991275,
  73813. "dur": 120,
  73814. "args": {
  73815. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dense_1/BiasAdd_grad/BiasAddGrad",
  73816. "op": "BiasAddGrad",
  73817. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/activation_1/Softmax_grad/mul_1"
  73818. }
  73819. },
  73820. {
  73821. "ph": "X",
  73822. "cat": "Op",
  73823. "name": "MatMul",
  73824. "pid": 31,
  73825. "tid": 0,
  73826. "ts": 1539815916991406,
  73827. "dur": 41,
  73828. "args": {
  73829. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dense_1/MatMul_grad/MatMul",
  73830. "op": "MatMul",
  73831. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/activation_1/Softmax_grad/mul_1",
  73832. "input1": "tower_2/dense_1/MatMul/ReadVariableOp",
  73833. "input2": "^tower_2/training/TFOptimizer/gradients/tower_2/dense_1/BiasAdd_grad/BiasAddGrad"
  73834. }
  73835. },
  73836. {
  73837. "ph": "X",
  73838. "cat": "Op",
  73839. "name": "MatMul",
  73840. "pid": 31,
  73841. "tid": 0,
  73842. "ts": 1539815916991455,
  73843. "dur": 35,
  73844. "args": {
  73845. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dense_1/MatMul_grad/MatMul_1",
  73846. "op": "MatMul",
  73847. "input0": "tower_2/dropout_3/dropout/mul",
  73848. "input1": "tower_2/training/TFOptimizer/gradients/tower_2/activation_1/Softmax_grad/mul_1",
  73849. "input2": "^tower_2/training/TFOptimizer/gradients/tower_2/dense_1/BiasAdd_grad/BiasAddGrad"
  73850. }
  73851. },
  73852. {
  73853. "ph": "X",
  73854. "cat": "Op",
  73855. "name": "Reshape",
  73856. "pid": 31,
  73857. "tid": 0,
  73858. "ts": 1539815916991500,
  73859. "dur": 8,
  73860. "args": {
  73861. "name": "training/TFOptimizer/Reshape_46",
  73862. "op": "Reshape",
  73863. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/dense_1/MatMul_grad/MatMul_1",
  73864. "input1": "training/TFOptimizer/Reshape_32/shape",
  73865. "input2": "^tower_2/training/TFOptimizer/gradients/tower_2/dense_1/MatMul_grad/MatMul"
  73866. }
  73867. },
  73868. {
  73869. "ph": "X",
  73870. "cat": "Op",
  73871. "name": "Mul",
  73872. "pid": 31,
  73873. "tid": 0,
  73874. "ts": 1539815916991510,
  73875. "dur": 27,
  73876. "args": {
  73877. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_3/dropout/mul_grad/Mul",
  73878. "op": "Mul",
  73879. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/dense_1/MatMul_grad/MatMul",
  73880. "input1": "tower_2/dropout_3/dropout/Floor",
  73881. "input2": "^tower_2/training/TFOptimizer/gradients/tower_2/dense_1/MatMul_grad/MatMul_1"
  73882. }
  73883. },
  73884. {
  73885. "ph": "X",
  73886. "cat": "Op",
  73887. "name": "Mul",
  73888. "pid": 31,
  73889. "tid": 0,
  73890. "ts": 1539815916991541,
  73891. "dur": 27,
  73892. "args": {
  73893. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_3/dropout/div_grad/RealDiv",
  73894. "op": "Mul",
  73895. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_3/dropout/mul_grad/Mul",
  73896. "input1": "ConstantFolding/tower_2/training/TFOptimizer/gradients/tower_2/dropout_3/dropout/div_grad/RealDiv_recip"
  73897. }
  73898. },
  73899. {
  73900. "ph": "X",
  73901. "cat": "Op",
  73902. "name": "Sum",
  73903. "pid": 31,
  73904. "tid": 0,
  73905. "ts": 1539815916991572,
  73906. "dur": 7,
  73907. "args": {
  73908. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_3/dropout/div_grad/Sum",
  73909. "op": "Sum",
  73910. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_3/dropout/div_grad/RealDiv",
  73911. "input1": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_3/dropout/div_grad/BroadcastGradientArgs"
  73912. }
  73913. },
  73914. {
  73915. "ph": "X",
  73916. "cat": "Op",
  73917. "name": "Reshape",
  73918. "pid": 31,
  73919. "tid": 0,
  73920. "ts": 1539815916991582,
  73921. "dur": 6,
  73922. "args": {
  73923. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_3/dropout/div_grad/Reshape",
  73924. "op": "Reshape",
  73925. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_3/dropout/div_grad/Sum",
  73926. "input1": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_3/dropout/div_grad/Shape"
  73927. }
  73928. },
  73929. {
  73930. "ph": "X",
  73931. "cat": "Op",
  73932. "name": "EluGrad",
  73933. "pid": 31,
  73934. "tid": 0,
  73935. "ts": 1539815916991595,
  73936. "dur": 54,
  73937. "args": {
  73938. "name": "tower_2/training/TFOptimizer/gradients/tower_2/activation/Elu_grad/EluGrad",
  73939. "op": "EluGrad",
  73940. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_3/dropout/div_grad/Reshape",
  73941. "input1": "tower_2/activation/Elu"
  73942. }
  73943. },
  73944. {
  73945. "ph": "X",
  73946. "cat": "Op",
  73947. "name": "BiasAddGrad",
  73948. "pid": 31,
  73949. "tid": 0,
  73950. "ts": 1539815916991652,
  73951. "dur": 121,
  73952. "args": {
  73953. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dense/BiasAdd_grad/BiasAddGrad",
  73954. "op": "BiasAddGrad",
  73955. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/activation/Elu_grad/EluGrad"
  73956. }
  73957. },
  73958. {
  73959. "ph": "X",
  73960. "cat": "Op",
  73961. "name": "MatMul",
  73962. "pid": 31,
  73963. "tid": 0,
  73964. "ts": 1539815916991778,
  73965. "dur": 34,
  73966. "args": {
  73967. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dense/MatMul_grad/MatMul",
  73968. "op": "MatMul",
  73969. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/activation/Elu_grad/EluGrad",
  73970. "input1": "tower_2/dense/MatMul/ReadVariableOp",
  73971. "input2": "^tower_2/training/TFOptimizer/gradients/tower_2/dense/BiasAdd_grad/BiasAddGrad"
  73972. }
  73973. },
  73974. {
  73975. "ph": "X",
  73976. "cat": "Op",
  73977. "name": "MatMul",
  73978. "pid": 31,
  73979. "tid": 0,
  73980. "ts": 1539815916991819,
  73981. "dur": 32,
  73982. "args": {
  73983. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dense/MatMul_grad/MatMul_1",
  73984. "op": "MatMul",
  73985. "input0": "tower_2/flatten/Reshape",
  73986. "input1": "tower_2/training/TFOptimizer/gradients/tower_2/activation/Elu_grad/EluGrad",
  73987. "input2": "^tower_2/training/TFOptimizer/gradients/tower_2/dense/BiasAdd_grad/BiasAddGrad"
  73988. }
  73989. },
  73990. {
  73991. "ph": "X",
  73992. "cat": "Op",
  73993. "name": "Reshape",
  73994. "pid": 31,
  73995. "tid": 0,
  73996. "ts": 1539815916991887,
  73997. "dur": 11,
  73998. "args": {
  73999. "name": "tower_2/training/TFOptimizer/gradients/tower_2/flatten/Reshape_grad/Reshape",
  74000. "op": "Reshape",
  74001. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/dense/MatMul_grad/MatMul",
  74002. "input1": "tower_2/training/TFOptimizer/gradients/tower_2/flatten/Reshape_grad/Shape-0-1-VecPermuteNCHWToNHWC-LayoutOptimizer",
  74003. "input2": "^tower_2/training/TFOptimizer/gradients/tower_2/dense/MatMul_grad/MatMul_1"
  74004. }
  74005. },
  74006. {
  74007. "ph": "X",
  74008. "cat": "Op",
  74009. "name": "Reshape",
  74010. "pid": 31,
  74011. "tid": 0,
  74012. "ts": 1539815916991902,
  74013. "dur": 5,
  74014. "args": {
  74015. "name": "training/TFOptimizer/Reshape_44",
  74016. "op": "Reshape",
  74017. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/dense/MatMul_grad/MatMul_1",
  74018. "input1": "training/TFOptimizer/Reshape_32/shape",
  74019. "input2": "^tower_2/training/TFOptimizer/gradients/tower_2/dense/MatMul_grad/MatMul"
  74020. }
  74021. },
  74022. {
  74023. "ph": "X",
  74024. "cat": "Op",
  74025. "name": "Mul",
  74026. "pid": 31,
  74027. "tid": 0,
  74028. "ts": 1539815916991926,
  74029. "dur": 31,
  74030. "args": {
  74031. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_2/dropout/mul_grad/Mul",
  74032. "op": "Mul",
  74033. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/flatten/Reshape_grad/Reshape",
  74034. "input1": "tower_2/dropout_2/dropout/Floor"
  74035. }
  74036. },
  74037. {
  74038. "ph": "X",
  74039. "cat": "Op",
  74040. "name": "Mul",
  74041. "pid": 31,
  74042. "tid": 0,
  74043. "ts": 1539815916991961,
  74044. "dur": 23,
  74045. "args": {
  74046. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_2/dropout/div_grad/RealDiv",
  74047. "op": "Mul",
  74048. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_2/dropout/mul_grad/Mul",
  74049. "input1": "ConstantFolding/tower_2/training/TFOptimizer/gradients/tower_2/dropout/dropout/div_grad/RealDiv_recip"
  74050. }
  74051. },
  74052. {
  74053. "ph": "X",
  74054. "cat": "Op",
  74055. "name": "Sum",
  74056. "pid": 31,
  74057. "tid": 0,
  74058. "ts": 1539815916991992,
  74059. "dur": 8,
  74060. "args": {
  74061. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_2/dropout/div_grad/Sum",
  74062. "op": "Sum",
  74063. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_2/dropout/div_grad/RealDiv",
  74064. "input1": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_2/dropout/div_grad/BroadcastGradientArgs"
  74065. }
  74066. },
  74067. {
  74068. "ph": "X",
  74069. "cat": "Op",
  74070. "name": "Reshape",
  74071. "pid": 31,
  74072. "tid": 0,
  74073. "ts": 1539815916992003,
  74074. "dur": 7,
  74075. "args": {
  74076. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_2/dropout/div_grad/Reshape",
  74077. "op": "Reshape",
  74078. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_2/dropout/div_grad/Sum",
  74079. "input1": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_2/dropout/div_grad/Shape-0-1-VecPermuteNCHWToNHWC-LayoutOptimizer"
  74080. }
  74081. },
  74082. {
  74083. "ph": "X",
  74084. "cat": "Op",
  74085. "name": "Transpose",
  74086. "pid": 31,
  74087. "tid": 0,
  74088. "ts": 1539815916992012,
  74089. "dur": 36,
  74090. "args": {
  74091. "name": "tower_2/training/TFOptimizer/gradients/tower_2/max_pooling2d_2/MaxPool_grad/MaxPoolGrad-2-TransposeNHWCToNCHW-LayoutOptimizer",
  74092. "op": "Transpose",
  74093. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_2/dropout/div_grad/Reshape",
  74094. "input1": "PermConstNHWCToNCHW-LayoutOptimizer/_1387"
  74095. }
  74096. },
  74097. {
  74098. "ph": "s",
  74099. "cat": "DataFlow",
  74100. "name": "PermConstNHWCToNCHW-LayoutOptimizer",
  74101. "pid": 41,
  74102. "tid": 0,
  74103. "ts": 1539815912099159,
  74104. "id": 122
  74105. },
  74106. {
  74107. "ph": "t",
  74108. "cat": "DataFlow",
  74109. "name": "PermConstNHWCToNCHW-LayoutOptimizer",
  74110. "pid": 31,
  74111. "tid": 0,
  74112. "ts": 1539815916992012,
  74113. "id": 122
  74114. },
  74115. {
  74116. "ph": "X",
  74117. "cat": "Op",
  74118. "name": "MaxPoolGrad",
  74119. "pid": 31,
  74120. "tid": 0,
  74121. "ts": 1539815916992056,
  74122. "dur": 1588,
  74123. "args": {
  74124. "name": "tower_2/training/TFOptimizer/gradients/tower_2/max_pooling2d_2/MaxPool_grad/MaxPoolGrad",
  74125. "op": "MaxPoolGrad",
  74126. "input0": "tower_2/conv2d_2/Elu",
  74127. "input1": "tower_2/max_pooling2d_2/MaxPool",
  74128. "input2": "tower_2/training/TFOptimizer/gradients/tower_2/max_pooling2d_2/MaxPool_grad/MaxPoolGrad-2-TransposeNHWCToNCHW-LayoutOptimizer"
  74129. }
  74130. },
  74131. {
  74132. "ph": "X",
  74133. "cat": "Op",
  74134. "name": "EluGrad",
  74135. "pid": 31,
  74136. "tid": 0,
  74137. "ts": 1539815916993660,
  74138. "dur": 34,
  74139. "args": {
  74140. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Elu_grad/EluGrad",
  74141. "op": "EluGrad",
  74142. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/max_pooling2d_2/MaxPool_grad/MaxPoolGrad",
  74143. "input1": "tower_2/conv2d_2/Elu"
  74144. }
  74145. },
  74146. {
  74147. "ph": "X",
  74148. "cat": "Op",
  74149. "name": "BiasAddGrad",
  74150. "pid": 31,
  74151. "tid": 0,
  74152. "ts": 1539815916993697,
  74153. "dur": 344,
  74154. "args": {
  74155. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/BiasAdd_grad/BiasAddGrad",
  74156. "op": "BiasAddGrad",
  74157. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Elu_grad/EluGrad"
  74158. }
  74159. },
  74160. {
  74161. "ph": "X",
  74162. "cat": "Op",
  74163. "name": "Conv2DBackpropFilter",
  74164. "pid": 31,
  74165. "tid": 0,
  74166. "ts": 1539815916994050,
  74167. "dur": 20378,
  74168. "args": {
  74169. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  74170. "op": "Conv2DBackpropFilter",
  74171. "input0": "tower_2/batch_normalization_2/FusedBatchNorm",
  74172. "input1": "ConstantFolding/tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/ShapeN-matshapes-1",
  74173. "input2": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Elu_grad/EluGrad",
  74174. "input3": "^tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/BiasAdd_grad/BiasAddGrad"
  74175. }
  74176. },
  74177. {
  74178. "ph": "X",
  74179. "cat": "Op",
  74180. "name": "Conv2DBackpropInput",
  74181. "pid": 31,
  74182. "tid": 0,
  74183. "ts": 1539815917014440,
  74184. "dur": 22084,
  74185. "args": {
  74186. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  74187. "op": "Conv2DBackpropInput",
  74188. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/ShapeN",
  74189. "input1": "tower_2/conv2d_2/Conv2D/ReadVariableOp",
  74190. "input2": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Elu_grad/EluGrad",
  74191. "input3": "^tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/BiasAdd_grad/BiasAddGrad"
  74192. }
  74193. },
  74194. {
  74195. "ph": "X",
  74196. "cat": "Op",
  74197. "name": "FusedBatchNormGrad",
  74198. "pid": 31,
  74199. "tid": 0,
  74200. "ts": 1539815917036536,
  74201. "dur": 108,
  74202. "args": {
  74203. "name": "tower_2/training/TFOptimizer/gradients/tower_2/batch_normalization_2/FusedBatchNorm_grad/FusedBatchNormGrad",
  74204. "op": "FusedBatchNormGrad",
  74205. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  74206. "input1": "tower_2/dropout_1/dropout/mul",
  74207. "input2": "tower_2/batch_normalization_2/ReadVariableOp",
  74208. "input3": "tower_2/batch_normalization_2/FusedBatchNorm:3",
  74209. "input4": "tower_2/batch_normalization_2/FusedBatchNorm:4",
  74210. "input5": "^tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter"
  74211. }
  74212. },
  74213. {
  74214. "ph": "X",
  74215. "cat": "Op",
  74216. "name": "Reshape",
  74217. "pid": 31,
  74218. "tid": 0,
  74219. "ts": 1539815917036653,
  74220. "dur": 10,
  74221. "args": {
  74222. "name": "training/TFOptimizer/Reshape_42",
  74223. "op": "Reshape",
  74224. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  74225. "input1": "training/TFOptimizer/Reshape_32/shape",
  74226. "input2": "^tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput"
  74227. }
  74228. },
  74229. {
  74230. "ph": "X",
  74231. "cat": "Op",
  74232. "name": "Mul",
  74233. "pid": 31,
  74234. "tid": 0,
  74235. "ts": 1539815917036671,
  74236. "dur": 32,
  74237. "args": {
  74238. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_1/dropout/mul_grad/Mul",
  74239. "op": "Mul",
  74240. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/batch_normalization_2/FusedBatchNorm_grad/FusedBatchNormGrad",
  74241. "input1": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_1/dropout/mul_grad/Mul-1-TransposeNHWCToNCHW-LayoutOptimizer"
  74242. }
  74243. },
  74244. {
  74245. "ph": "X",
  74246. "cat": "Op",
  74247. "name": "Mul",
  74248. "pid": 31,
  74249. "tid": 0,
  74250. "ts": 1539815917036707,
  74251. "dur": 23,
  74252. "args": {
  74253. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_1/dropout/div_grad/RealDiv",
  74254. "op": "Mul",
  74255. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_1/dropout/mul_grad/Mul",
  74256. "input1": "ConstantFolding/tower_2/training/TFOptimizer/gradients/tower_2/dropout/dropout/div_grad/RealDiv_recip"
  74257. }
  74258. },
  74259. {
  74260. "ph": "X",
  74261. "cat": "Op",
  74262. "name": "Transpose",
  74263. "pid": 31,
  74264. "tid": 0,
  74265. "ts": 1539815917036740,
  74266. "dur": 31,
  74267. "args": {
  74268. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_1/dropout/div_grad/RealDiv-0-0-TransposeNCHWToNHWC-LayoutOptimizer",
  74269. "op": "Transpose",
  74270. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_1/dropout/div_grad/RealDiv",
  74271. "input1": "PermConstNCHWToNHWC-LayoutOptimizer/_1393"
  74272. }
  74273. },
  74274. {
  74275. "ph": "s",
  74276. "cat": "DataFlow",
  74277. "name": "PermConstNCHWToNHWC-LayoutOptimizer",
  74278. "pid": 41,
  74279. "tid": 0,
  74280. "ts": 1539815912099168,
  74281. "id": 123
  74282. },
  74283. {
  74284. "ph": "t",
  74285. "cat": "DataFlow",
  74286. "name": "PermConstNCHWToNHWC-LayoutOptimizer",
  74287. "pid": 31,
  74288. "tid": 0,
  74289. "ts": 1539815917036740,
  74290. "id": 123
  74291. },
  74292. {
  74293. "ph": "X",
  74294. "cat": "Op",
  74295. "name": "Sum",
  74296. "pid": 31,
  74297. "tid": 0,
  74298. "ts": 1539815917036778,
  74299. "dur": 8,
  74300. "args": {
  74301. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_1/dropout/div_grad/Sum",
  74302. "op": "Sum",
  74303. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_1/dropout/div_grad/RealDiv-0-0-TransposeNCHWToNHWC-LayoutOptimizer",
  74304. "input1": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_1/dropout/div_grad/BroadcastGradientArgs"
  74305. }
  74306. },
  74307. {
  74308. "ph": "X",
  74309. "cat": "Op",
  74310. "name": "Reshape",
  74311. "pid": 31,
  74312. "tid": 0,
  74313. "ts": 1539815917036809,
  74314. "dur": 9,
  74315. "args": {
  74316. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_1/dropout/div_grad/Reshape",
  74317. "op": "Reshape",
  74318. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_1/dropout/div_grad/Sum",
  74319. "input1": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_1/dropout/div_grad/Shape-1-1-VecPermuteNCHWToNHWC-LayoutOptimizer"
  74320. }
  74321. },
  74322. {
  74323. "ph": "X",
  74324. "cat": "Op",
  74325. "name": "Transpose",
  74326. "pid": 31,
  74327. "tid": 0,
  74328. "ts": 1539815917036821,
  74329. "dur": 32,
  74330. "args": {
  74331. "name": "tower_2/training/TFOptimizer/gradients/tower_2/max_pooling2d_1/MaxPool_grad/MaxPoolGrad-2-TransposeNHWCToNCHW-LayoutOptimizer",
  74332. "op": "Transpose",
  74333. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/dropout_1/dropout/div_grad/Reshape",
  74334. "input1": "PermConstNHWCToNCHW-LayoutOptimizer/_1387"
  74335. }
  74336. },
  74337. {
  74338. "ph": "s",
  74339. "cat": "DataFlow",
  74340. "name": "PermConstNHWCToNCHW-LayoutOptimizer",
  74341. "pid": 41,
  74342. "tid": 0,
  74343. "ts": 1539815912099159,
  74344. "id": 124
  74345. },
  74346. {
  74347. "ph": "t",
  74348. "cat": "DataFlow",
  74349. "name": "PermConstNHWCToNCHW-LayoutOptimizer",
  74350. "pid": 31,
  74351. "tid": 0,
  74352. "ts": 1539815917036821,
  74353. "id": 124
  74354. },
  74355. {
  74356. "ph": "X",
  74357. "cat": "Op",
  74358. "name": "MaxPoolGrad",
  74359. "pid": 31,
  74360. "tid": 0,
  74361. "ts": 1539815917036865,
  74362. "dur": 46,
  74363. "args": {
  74364. "name": "tower_2/training/TFOptimizer/gradients/tower_2/max_pooling2d_1/MaxPool_grad/MaxPoolGrad",
  74365. "op": "MaxPoolGrad",
  74366. "input0": "tower_2/conv2d_1/Elu",
  74367. "input1": "tower_2/max_pooling2d_1/MaxPool",
  74368. "input2": "tower_2/training/TFOptimizer/gradients/tower_2/max_pooling2d_1/MaxPool_grad/MaxPoolGrad-2-TransposeNHWCToNCHW-LayoutOptimizer"
  74369. }
  74370. },
  74371. {
  74372. "ph": "X",
  74373. "cat": "Op",
  74374. "name": "EluGrad",
  74375. "pid": 31,
  74376. "tid": 0,
  74377. "ts": 1539815917036919,
  74378. "dur": 28,
  74379. "args": {
  74380. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Elu_grad/EluGrad",
  74381. "op": "EluGrad",
  74382. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/max_pooling2d_1/MaxPool_grad/MaxPoolGrad",
  74383. "input1": "tower_2/conv2d_1/Elu"
  74384. }
  74385. },
  74386. {
  74387. "ph": "X",
  74388. "cat": "Op",
  74389. "name": "BiasAddGrad",
  74390. "pid": 31,
  74391. "tid": 0,
  74392. "ts": 1539815917036959,
  74393. "dur": 1195,
  74394. "args": {
  74395. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/BiasAdd_grad/BiasAddGrad",
  74396. "op": "BiasAddGrad",
  74397. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Elu_grad/EluGrad"
  74398. }
  74399. },
  74400. {
  74401. "ph": "X",
  74402. "cat": "Op",
  74403. "name": "Conv2DBackpropFilter",
  74404. "pid": 31,
  74405. "tid": 0,
  74406. "ts": 1539815917038162,
  74407. "dur": 17252,
  74408. "args": {
  74409. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  74410. "op": "Conv2DBackpropFilter",
  74411. "input0": "tower_2/batch_normalization_1/FusedBatchNorm",
  74412. "input1": "ConstantFolding/tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/ShapeN-matshapes-1",
  74413. "input2": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Elu_grad/EluGrad",
  74414. "input3": "^tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/BiasAdd_grad/BiasAddGrad"
  74415. }
  74416. },
  74417. {
  74418. "ph": "X",
  74419. "cat": "Op",
  74420. "name": "Conv2DBackpropInput",
  74421. "pid": 31,
  74422. "tid": 0,
  74423. "ts": 1539815917055431,
  74424. "dur": 17857,
  74425. "args": {
  74426. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  74427. "op": "Conv2DBackpropInput",
  74428. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/ShapeN",
  74429. "input1": "tower_2/conv2d_1/Conv2D/ReadVariableOp",
  74430. "input2": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Elu_grad/EluGrad",
  74431. "input3": "^tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/BiasAdd_grad/BiasAddGrad"
  74432. }
  74433. },
  74434. {
  74435. "ph": "X",
  74436. "cat": "Op",
  74437. "name": "FusedBatchNormGrad",
  74438. "pid": 31,
  74439. "tid": 0,
  74440. "ts": 1539815917073299,
  74441. "dur": 78,
  74442. "args": {
  74443. "name": "tower_2/training/TFOptimizer/gradients/tower_2/batch_normalization_1/FusedBatchNorm_grad/FusedBatchNormGrad",
  74444. "op": "FusedBatchNormGrad",
  74445. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  74446. "input1": "tower_2/dropout/dropout/mul",
  74447. "input2": "tower_2/batch_normalization_1/ReadVariableOp",
  74448. "input3": "tower_2/batch_normalization_1/FusedBatchNorm:3",
  74449. "input4": "tower_2/batch_normalization_1/FusedBatchNorm:4",
  74450. "input5": "^tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter"
  74451. }
  74452. },
  74453. {
  74454. "ph": "X",
  74455. "cat": "Op",
  74456. "name": "Reshape",
  74457. "pid": 31,
  74458. "tid": 0,
  74459. "ts": 1539815917073392,
  74460. "dur": 10,
  74461. "args": {
  74462. "name": "training/TFOptimizer/Reshape_38",
  74463. "op": "Reshape",
  74464. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  74465. "input1": "training/TFOptimizer/Reshape_32/shape",
  74466. "input2": "^tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput"
  74467. }
  74468. },
  74469. {
  74470. "ph": "X",
  74471. "cat": "Op",
  74472. "name": "Mul",
  74473. "pid": 31,
  74474. "tid": 0,
  74475. "ts": 1539815917073405,
  74476. "dur": 28,
  74477. "args": {
  74478. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout/dropout/mul_grad/Mul",
  74479. "op": "Mul",
  74480. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/batch_normalization_1/FusedBatchNorm_grad/FusedBatchNormGrad",
  74481. "input1": "tower_2/training/TFOptimizer/gradients/tower_2/dropout/dropout/mul_grad/Mul-1-TransposeNHWCToNCHW-LayoutOptimizer"
  74482. }
  74483. },
  74484. {
  74485. "ph": "X",
  74486. "cat": "Op",
  74487. "name": "Mul",
  74488. "pid": 31,
  74489. "tid": 0,
  74490. "ts": 1539815917073443,
  74491. "dur": 25,
  74492. "args": {
  74493. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout/dropout/div_grad/RealDiv",
  74494. "op": "Mul",
  74495. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/dropout/dropout/mul_grad/Mul",
  74496. "input1": "ConstantFolding/tower_2/training/TFOptimizer/gradients/tower_2/dropout/dropout/div_grad/RealDiv_recip"
  74497. }
  74498. },
  74499. {
  74500. "ph": "X",
  74501. "cat": "Op",
  74502. "name": "Transpose",
  74503. "pid": 31,
  74504. "tid": 0,
  74505. "ts": 1539815917073472,
  74506. "dur": 29,
  74507. "args": {
  74508. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout/dropout/div_grad/RealDiv-0-0-TransposeNCHWToNHWC-LayoutOptimizer",
  74509. "op": "Transpose",
  74510. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/dropout/dropout/div_grad/RealDiv",
  74511. "input1": "PermConstNCHWToNHWC-LayoutOptimizer/_1393"
  74512. }
  74513. },
  74514. {
  74515. "ph": "s",
  74516. "cat": "DataFlow",
  74517. "name": "PermConstNCHWToNHWC-LayoutOptimizer",
  74518. "pid": 41,
  74519. "tid": 0,
  74520. "ts": 1539815912099168,
  74521. "id": 125
  74522. },
  74523. {
  74524. "ph": "t",
  74525. "cat": "DataFlow",
  74526. "name": "PermConstNCHWToNHWC-LayoutOptimizer",
  74527. "pid": 31,
  74528. "tid": 0,
  74529. "ts": 1539815917073472,
  74530. "id": 125
  74531. },
  74532. {
  74533. "ph": "X",
  74534. "cat": "Op",
  74535. "name": "Sum",
  74536. "pid": 31,
  74537. "tid": 0,
  74538. "ts": 1539815917073513,
  74539. "dur": 9,
  74540. "args": {
  74541. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout/dropout/div_grad/Sum",
  74542. "op": "Sum",
  74543. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/dropout/dropout/div_grad/RealDiv-0-0-TransposeNCHWToNHWC-LayoutOptimizer",
  74544. "input1": "tower_2/training/TFOptimizer/gradients/tower_2/dropout/dropout/div_grad/BroadcastGradientArgs"
  74545. }
  74546. },
  74547. {
  74548. "ph": "X",
  74549. "cat": "Op",
  74550. "name": "Reshape",
  74551. "pid": 31,
  74552. "tid": 0,
  74553. "ts": 1539815917073525,
  74554. "dur": 7,
  74555. "args": {
  74556. "name": "tower_2/training/TFOptimizer/gradients/tower_2/dropout/dropout/div_grad/Reshape",
  74557. "op": "Reshape",
  74558. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/dropout/dropout/div_grad/Sum",
  74559. "input1": "tower_2/training/TFOptimizer/gradients/tower_2/dropout/dropout/div_grad/Shape-0-1-VecPermuteNCHWToNHWC-LayoutOptimizer"
  74560. }
  74561. },
  74562. {
  74563. "ph": "X",
  74564. "cat": "Op",
  74565. "name": "Transpose",
  74566. "pid": 31,
  74567. "tid": 0,
  74568. "ts": 1539815917073535,
  74569. "dur": 31,
  74570. "args": {
  74571. "name": "tower_2/training/TFOptimizer/gradients/tower_2/max_pooling2d/MaxPool_grad/MaxPoolGrad-2-TransposeNHWCToNCHW-LayoutOptimizer",
  74572. "op": "Transpose",
  74573. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/dropout/dropout/div_grad/Reshape",
  74574. "input1": "PermConstNHWCToNCHW-LayoutOptimizer/_1387"
  74575. }
  74576. },
  74577. {
  74578. "ph": "s",
  74579. "cat": "DataFlow",
  74580. "name": "PermConstNHWCToNCHW-LayoutOptimizer",
  74581. "pid": 41,
  74582. "tid": 0,
  74583. "ts": 1539815912099159,
  74584. "id": 126
  74585. },
  74586. {
  74587. "ph": "t",
  74588. "cat": "DataFlow",
  74589. "name": "PermConstNHWCToNCHW-LayoutOptimizer",
  74590. "pid": 31,
  74591. "tid": 0,
  74592. "ts": 1539815917073535,
  74593. "id": 126
  74594. },
  74595. {
  74596. "ph": "X",
  74597. "cat": "Op",
  74598. "name": "MaxPoolGrad",
  74599. "pid": 31,
  74600. "tid": 0,
  74601. "ts": 1539815917073573,
  74602. "dur": 53,
  74603. "args": {
  74604. "name": "tower_2/training/TFOptimizer/gradients/tower_2/max_pooling2d/MaxPool_grad/MaxPoolGrad",
  74605. "op": "MaxPoolGrad",
  74606. "input0": "tower_2/conv2d/Elu",
  74607. "input1": "tower_2/max_pooling2d/MaxPool",
  74608. "input2": "tower_2/training/TFOptimizer/gradients/tower_2/max_pooling2d/MaxPool_grad/MaxPoolGrad-2-TransposeNHWCToNCHW-LayoutOptimizer"
  74609. }
  74610. },
  74611. {
  74612. "ph": "X",
  74613. "cat": "Op",
  74614. "name": "EluGrad",
  74615. "pid": 31,
  74616. "tid": 0,
  74617. "ts": 1539815917073639,
  74618. "dur": 51,
  74619. "args": {
  74620. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Elu_grad/EluGrad",
  74621. "op": "EluGrad",
  74622. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/max_pooling2d/MaxPool_grad/MaxPoolGrad",
  74623. "input1": "tower_2/conv2d/Elu"
  74624. }
  74625. },
  74626. {
  74627. "ph": "X",
  74628. "cat": "Op",
  74629. "name": "BiasAddGrad",
  74630. "pid": 31,
  74631. "tid": 0,
  74632. "ts": 1539815917073695,
  74633. "dur": 1172,
  74634. "args": {
  74635. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/BiasAdd_grad/BiasAddGrad",
  74636. "op": "BiasAddGrad",
  74637. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Elu_grad/EluGrad"
  74638. }
  74639. },
  74640. {
  74641. "ph": "X",
  74642. "cat": "Op",
  74643. "name": "Conv2DBackpropFilter",
  74644. "pid": 31,
  74645. "tid": 0,
  74646. "ts": 1539815917074876,
  74647. "dur": 10122,
  74648. "args": {
  74649. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  74650. "op": "Conv2DBackpropFilter",
  74651. "input0": "tower_2/batch_normalization/FusedBatchNorm",
  74652. "input1": "ConstantFolding/tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/ShapeN-matshapes-1",
  74653. "input2": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Elu_grad/EluGrad",
  74654. "input3": "^tower_2/training/TFOptimizer/gradients/tower_2/conv2d/BiasAdd_grad/BiasAddGrad"
  74655. }
  74656. },
  74657. {
  74658. "ph": "s",
  74659. "cat": "DataFlow",
  74660. "name": "tower_2/batch_normalization/FusedBatchNorm",
  74661. "pid": 31,
  74662. "tid": 2,
  74663. "ts": 1539815916895322,
  74664. "id": 127
  74665. },
  74666. {
  74667. "ph": "t",
  74668. "cat": "DataFlow",
  74669. "name": "tower_2/batch_normalization/FusedBatchNorm",
  74670. "pid": 31,
  74671. "tid": 0,
  74672. "ts": 1539815917074876,
  74673. "id": 127
  74674. },
  74675. {
  74676. "ph": "X",
  74677. "cat": "Op",
  74678. "name": "Conv2DBackpropInput",
  74679. "pid": 31,
  74680. "tid": 0,
  74681. "ts": 1539815917085008,
  74682. "dur": 12199,
  74683. "args": {
  74684. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  74685. "op": "Conv2DBackpropInput",
  74686. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/ShapeN",
  74687. "input1": "tower_2/conv2d/Conv2D/ReadVariableOp",
  74688. "input2": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Elu_grad/EluGrad",
  74689. "input3": "^tower_2/training/TFOptimizer/gradients/tower_2/conv2d/BiasAdd_grad/BiasAddGrad"
  74690. }
  74691. },
  74692. {
  74693. "ph": "X",
  74694. "cat": "Op",
  74695. "name": "FusedBatchNormGrad",
  74696. "pid": 31,
  74697. "tid": 0,
  74698. "ts": 1539815917097218,
  74699. "dur": 78,
  74700. "args": {
  74701. "name": "tower_2/training/TFOptimizer/gradients/tower_2/batch_normalization/FusedBatchNorm_grad/FusedBatchNormGrad",
  74702. "op": "FusedBatchNormGrad",
  74703. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  74704. "input1": "tower_2/training/TFOptimizer/gradients/tower_2/batch_normalization/FusedBatchNorm_grad/FusedBatchNormGrad-1-TransposeNHWCToNCHW-LayoutOptimizer",
  74705. "input2": "tower_2/batch_normalization/ReadVariableOp",
  74706. "input3": "tower_2/batch_normalization/FusedBatchNorm:3",
  74707. "input4": "tower_2/batch_normalization/FusedBatchNorm:4",
  74708. "input5": "^tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter"
  74709. }
  74710. },
  74711. {
  74712. "ph": "s",
  74713. "cat": "DataFlow",
  74714. "name": "tower_2/batch_normalization/FusedBatchNorm:3",
  74715. "pid": 31,
  74716. "tid": 2,
  74717. "ts": 1539815916895322,
  74718. "id": 128
  74719. },
  74720. {
  74721. "ph": "t",
  74722. "cat": "DataFlow",
  74723. "name": "tower_2/batch_normalization/FusedBatchNorm:3",
  74724. "pid": 31,
  74725. "tid": 0,
  74726. "ts": 1539815917097218,
  74727. "id": 128
  74728. },
  74729. {
  74730. "ph": "s",
  74731. "cat": "DataFlow",
  74732. "name": "tower_2/batch_normalization/FusedBatchNorm:4",
  74733. "pid": 31,
  74734. "tid": 2,
  74735. "ts": 1539815916895322,
  74736. "id": 129
  74737. },
  74738. {
  74739. "ph": "t",
  74740. "cat": "DataFlow",
  74741. "name": "tower_2/batch_normalization/FusedBatchNorm:4",
  74742. "pid": 31,
  74743. "tid": 0,
  74744. "ts": 1539815917097218,
  74745. "id": 129
  74746. },
  74747. {
  74748. "ph": "X",
  74749. "cat": "Op",
  74750. "name": "Reshape",
  74751. "pid": 31,
  74752. "tid": 0,
  74753. "ts": 1539815917097310,
  74754. "dur": 10,
  74755. "args": {
  74756. "name": "training/TFOptimizer/Reshape_34",
  74757. "op": "Reshape",
  74758. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  74759. "input1": "training/TFOptimizer/Reshape_32/shape",
  74760. "input2": "^tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput"
  74761. }
  74762. },
  74763. {
  74764. "ph": "X",
  74765. "cat": "Op",
  74766. "name": "ConcatV2",
  74767. "pid": 31,
  74768. "tid": 0,
  74769. "ts": 1539815917097323,
  74770. "dur": 126,
  74771. "args": {
  74772. "name": "training/TFOptimizer/concat_2",
  74773. "op": "ConcatV2",
  74774. "input0": "tower_2/training/TFOptimizer/gradients/tower_2/batch_normalization/FusedBatchNorm_grad/FusedBatchNormGrad:1",
  74775. "input1": "tower_2/training/TFOptimizer/gradients/tower_2/batch_normalization/FusedBatchNorm_grad/FusedBatchNormGrad:2",
  74776. "input2": "training/TFOptimizer/Reshape_34",
  74777. "input3": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/BiasAdd_grad/BiasAddGrad",
  74778. "input4": "tower_2/training/TFOptimizer/gradients/tower_2/batch_normalization_1/FusedBatchNorm_grad/FusedBatchNormGrad:1",
  74779. "input5": "tower_2/training/TFOptimizer/gradients/tower_2/batch_normalization_1/FusedBatchNorm_grad/FusedBatchNormGrad:2",
  74780. "input6": "training/TFOptimizer/Reshape_38",
  74781. "input7": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/BiasAdd_grad/BiasAddGrad",
  74782. "input8": "tower_2/training/TFOptimizer/gradients/tower_2/batch_normalization_2/FusedBatchNorm_grad/FusedBatchNormGrad:1",
  74783. "input9": "tower_2/training/TFOptimizer/gradients/tower_2/batch_normalization_2/FusedBatchNorm_grad/FusedBatchNormGrad:2",
  74784. "input10": "training/TFOptimizer/Reshape_42",
  74785. "input11": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/BiasAdd_grad/BiasAddGrad",
  74786. "input12": "training/TFOptimizer/Reshape_44",
  74787. "input13": "tower_2/training/TFOptimizer/gradients/tower_2/dense/BiasAdd_grad/BiasAddGrad",
  74788. "input14": "training/TFOptimizer/Reshape_46",
  74789. "input15": "tower_2/training/TFOptimizer/gradients/tower_2/dense_1/BiasAdd_grad/BiasAddGrad",
  74790. "input16": "training/TFOptimizer/concat_2/axis"
  74791. }
  74792. },
  74793. {
  74794. "ph": "X",
  74795. "cat": "Op",
  74796. "name": "NcclAllReduce",
  74797. "pid": 31,
  74798. "tid": 0,
  74799. "ts": 1539815917097466,
  74800. "dur": 464705,
  74801. "args": {
  74802. "name": "training/TFOptimizer/NcclAllReduce_2",
  74803. "op": "NcclAllReduce",
  74804. "input0": "training/TFOptimizer/concat_2"
  74805. }
  74806. },
  74807. {
  74808. "ph": "X",
  74809. "cat": "Op",
  74810. "name": "SplitV",
  74811. "pid": 31,
  74812. "tid": 0,
  74813. "ts": 1539815917562287,
  74814. "dur": 1927,
  74815. "args": {
  74816. "name": "training/TFOptimizer/split_6",
  74817. "op": "SplitV",
  74818. "input0": "training/TFOptimizer/NcclAllReduce_2",
  74819. "input1": "training/TFOptimizer/packed_2",
  74820. "input2": "training/TFOptimizer/split_6/split_dim"
  74821. }
  74822. },
  74823. {
  74824. "ph": "X",
  74825. "cat": "Op",
  74826. "name": "ResourceApplyAdam",
  74827. "pid": 31,
  74828. "tid": 0,
  74829. "ts": 1539815917564225,
  74830. "dur": 4226,
  74831. "args": {
  74832. "name": "training/TFOptimizer/Adam/update_2_11/update_conv2d_2/bias/replica_2/ResourceApplyAdam",
  74833. "op": "ResourceApplyAdam",
  74834. "input0": "conv2d_2/bias/replica_2",
  74835. "input1": "conv2d_2/bias/Adam/replica_2",
  74836. "input2": "conv2d_2/bias/Adam_1/replica_2",
  74837. "input3": "training/TFOptimizer/Adam/update_2_11/update_conv2d_2/bias/replica_2/ResourceApplyAdam/ReadVariableOp",
  74838. "input4": "training/TFOptimizer/Adam/update_2_11/update_conv2d_2/bias/replica_2/ResourceApplyAdam/ReadVariableOp_1",
  74839. "input5": "training/TFOptimizer/Adam/learning_rate/_1427",
  74840. "input6": "training/TFOptimizer/Adam/beta1/_1429",
  74841. "input7": "training/TFOptimizer/Adam/beta2/_1431",
  74842. "input8": "training/TFOptimizer/Adam/epsilon/_1433",
  74843. "input9": "training/TFOptimizer/split_6:11"
  74844. }
  74845. },
  74846. {
  74847. "ph": "s",
  74848. "cat": "DataFlow",
  74849. "name": "training/TFOptimizer/Adam/learning_rate",
  74850. "pid": 41,
  74851. "tid": 0,
  74852. "ts": 1539815912099124,
  74853. "id": 130
  74854. },
  74855. {
  74856. "ph": "t",
  74857. "cat": "DataFlow",
  74858. "name": "training/TFOptimizer/Adam/learning_rate",
  74859. "pid": 31,
  74860. "tid": 0,
  74861. "ts": 1539815917564225,
  74862. "id": 130
  74863. },
  74864. {
  74865. "ph": "s",
  74866. "cat": "DataFlow",
  74867. "name": "training/TFOptimizer/Adam/beta1",
  74868. "pid": 41,
  74869. "tid": 0,
  74870. "ts": 1539815912099133,
  74871. "id": 131
  74872. },
  74873. {
  74874. "ph": "t",
  74875. "cat": "DataFlow",
  74876. "name": "training/TFOptimizer/Adam/beta1",
  74877. "pid": 31,
  74878. "tid": 0,
  74879. "ts": 1539815917564225,
  74880. "id": 131
  74881. },
  74882. {
  74883. "ph": "s",
  74884. "cat": "DataFlow",
  74885. "name": "training/TFOptimizer/Adam/beta2",
  74886. "pid": 41,
  74887. "tid": 0,
  74888. "ts": 1539815912099143,
  74889. "id": 132
  74890. },
  74891. {
  74892. "ph": "t",
  74893. "cat": "DataFlow",
  74894. "name": "training/TFOptimizer/Adam/beta2",
  74895. "pid": 31,
  74896. "tid": 0,
  74897. "ts": 1539815917564225,
  74898. "id": 132
  74899. },
  74900. {
  74901. "ph": "s",
  74902. "cat": "DataFlow",
  74903. "name": "training/TFOptimizer/Adam/epsilon",
  74904. "pid": 41,
  74905. "tid": 0,
  74906. "ts": 1539815912099150,
  74907. "id": 133
  74908. },
  74909. {
  74910. "ph": "t",
  74911. "cat": "DataFlow",
  74912. "name": "training/TFOptimizer/Adam/epsilon",
  74913. "pid": 31,
  74914. "tid": 0,
  74915. "ts": 1539815917564225,
  74916. "id": 133
  74917. },
  74918. {
  74919. "ph": "X",
  74920. "cat": "Op",
  74921. "name": "ResourceApplyAdam",
  74922. "pid": 31,
  74923. "tid": 0,
  74924. "ts": 1539815917568460,
  74925. "dur": 103,
  74926. "args": {
  74927. "name": "training/TFOptimizer/Adam/update_2_13/update_dense/bias/replica_2/ResourceApplyAdam",
  74928. "op": "ResourceApplyAdam",
  74929. "input0": "dense/bias/replica_2",
  74930. "input1": "dense/bias/Adam/replica_2",
  74931. "input2": "dense/bias/Adam_1/replica_2",
  74932. "input3": "training/TFOptimizer/Adam/update_2_13/update_dense/bias/replica_2/ResourceApplyAdam/ReadVariableOp",
  74933. "input4": "training/TFOptimizer/Adam/update_2_13/update_dense/bias/replica_2/ResourceApplyAdam/ReadVariableOp_1",
  74934. "input5": "training/TFOptimizer/Adam/learning_rate/_1427",
  74935. "input6": "training/TFOptimizer/Adam/beta1/_1429",
  74936. "input7": "training/TFOptimizer/Adam/beta2/_1431",
  74937. "input8": "training/TFOptimizer/Adam/epsilon/_1433",
  74938. "input9": "training/TFOptimizer/split_6:13"
  74939. }
  74940. },
  74941. {
  74942. "ph": "s",
  74943. "cat": "DataFlow",
  74944. "name": "training/TFOptimizer/Adam/learning_rate",
  74945. "pid": 41,
  74946. "tid": 0,
  74947. "ts": 1539815912099124,
  74948. "id": 134
  74949. },
  74950. {
  74951. "ph": "t",
  74952. "cat": "DataFlow",
  74953. "name": "training/TFOptimizer/Adam/learning_rate",
  74954. "pid": 31,
  74955. "tid": 0,
  74956. "ts": 1539815917568460,
  74957. "id": 134
  74958. },
  74959. {
  74960. "ph": "s",
  74961. "cat": "DataFlow",
  74962. "name": "training/TFOptimizer/Adam/beta1",
  74963. "pid": 41,
  74964. "tid": 0,
  74965. "ts": 1539815912099133,
  74966. "id": 135
  74967. },
  74968. {
  74969. "ph": "t",
  74970. "cat": "DataFlow",
  74971. "name": "training/TFOptimizer/Adam/beta1",
  74972. "pid": 31,
  74973. "tid": 0,
  74974. "ts": 1539815917568460,
  74975. "id": 135
  74976. },
  74977. {
  74978. "ph": "s",
  74979. "cat": "DataFlow",
  74980. "name": "training/TFOptimizer/Adam/beta2",
  74981. "pid": 41,
  74982. "tid": 0,
  74983. "ts": 1539815912099143,
  74984. "id": 136
  74985. },
  74986. {
  74987. "ph": "t",
  74988. "cat": "DataFlow",
  74989. "name": "training/TFOptimizer/Adam/beta2",
  74990. "pid": 31,
  74991. "tid": 0,
  74992. "ts": 1539815917568460,
  74993. "id": 136
  74994. },
  74995. {
  74996. "ph": "s",
  74997. "cat": "DataFlow",
  74998. "name": "training/TFOptimizer/Adam/epsilon",
  74999. "pid": 41,
  75000. "tid": 0,
  75001. "ts": 1539815912099150,
  75002. "id": 137
  75003. },
  75004. {
  75005. "ph": "t",
  75006. "cat": "DataFlow",
  75007. "name": "training/TFOptimizer/Adam/epsilon",
  75008. "pid": 31,
  75009. "tid": 0,
  75010. "ts": 1539815917568460,
  75011. "id": 137
  75012. },
  75013. {
  75014. "ph": "X",
  75015. "cat": "Op",
  75016. "name": "ResourceApplyAdam",
  75017. "pid": 31,
  75018. "tid": 0,
  75019. "ts": 1539815917568569,
  75020. "dur": 145,
  75021. "args": {
  75022. "name": "training/TFOptimizer/Adam/update_2_15/update_dense_1/bias/replica_2/ResourceApplyAdam",
  75023. "op": "ResourceApplyAdam",
  75024. "input0": "dense_1/bias/replica_2",
  75025. "input1": "dense_1/bias/Adam/replica_2",
  75026. "input2": "dense_1/bias/Adam_1/replica_2",
  75027. "input3": "training/TFOptimizer/Adam/update_2_15/update_dense_1/bias/replica_2/ResourceApplyAdam/ReadVariableOp",
  75028. "input4": "training/TFOptimizer/Adam/update_2_15/update_dense_1/bias/replica_2/ResourceApplyAdam/ReadVariableOp_1",
  75029. "input5": "training/TFOptimizer/Adam/learning_rate/_1427",
  75030. "input6": "training/TFOptimizer/Adam/beta1/_1429",
  75031. "input7": "training/TFOptimizer/Adam/beta2/_1431",
  75032. "input8": "training/TFOptimizer/Adam/epsilon/_1433",
  75033. "input9": "training/TFOptimizer/split_6:15"
  75034. }
  75035. },
  75036. {
  75037. "ph": "s",
  75038. "cat": "DataFlow",
  75039. "name": "training/TFOptimizer/Adam/learning_rate",
  75040. "pid": 41,
  75041. "tid": 0,
  75042. "ts": 1539815912099124,
  75043. "id": 138
  75044. },
  75045. {
  75046. "ph": "t",
  75047. "cat": "DataFlow",
  75048. "name": "training/TFOptimizer/Adam/learning_rate",
  75049. "pid": 31,
  75050. "tid": 0,
  75051. "ts": 1539815917568569,
  75052. "id": 138
  75053. },
  75054. {
  75055. "ph": "s",
  75056. "cat": "DataFlow",
  75057. "name": "training/TFOptimizer/Adam/beta1",
  75058. "pid": 41,
  75059. "tid": 0,
  75060. "ts": 1539815912099133,
  75061. "id": 139
  75062. },
  75063. {
  75064. "ph": "t",
  75065. "cat": "DataFlow",
  75066. "name": "training/TFOptimizer/Adam/beta1",
  75067. "pid": 31,
  75068. "tid": 0,
  75069. "ts": 1539815917568569,
  75070. "id": 139
  75071. },
  75072. {
  75073. "ph": "s",
  75074. "cat": "DataFlow",
  75075. "name": "training/TFOptimizer/Adam/beta2",
  75076. "pid": 41,
  75077. "tid": 0,
  75078. "ts": 1539815912099143,
  75079. "id": 140
  75080. },
  75081. {
  75082. "ph": "t",
  75083. "cat": "DataFlow",
  75084. "name": "training/TFOptimizer/Adam/beta2",
  75085. "pid": 31,
  75086. "tid": 0,
  75087. "ts": 1539815917568569,
  75088. "id": 140
  75089. },
  75090. {
  75091. "ph": "s",
  75092. "cat": "DataFlow",
  75093. "name": "training/TFOptimizer/Adam/epsilon",
  75094. "pid": 41,
  75095. "tid": 0,
  75096. "ts": 1539815912099150,
  75097. "id": 141
  75098. },
  75099. {
  75100. "ph": "t",
  75101. "cat": "DataFlow",
  75102. "name": "training/TFOptimizer/Adam/epsilon",
  75103. "pid": 31,
  75104. "tid": 0,
  75105. "ts": 1539815917568569,
  75106. "id": 141
  75107. },
  75108. {
  75109. "ph": "X",
  75110. "cat": "Op",
  75111. "name": "ResourceApplyAdam",
  75112. "pid": 31,
  75113. "tid": 0,
  75114. "ts": 1539815917568721,
  75115. "dur": 120,
  75116. "args": {
  75117. "name": "training/TFOptimizer/Adam/update_2_3/update_conv2d/bias/replica_2/ResourceApplyAdam",
  75118. "op": "ResourceApplyAdam",
  75119. "input0": "conv2d/bias/replica_2",
  75120. "input1": "conv2d/bias/Adam/replica_2",
  75121. "input2": "conv2d/bias/Adam_1/replica_2",
  75122. "input3": "training/TFOptimizer/Adam/update_2_3/update_conv2d/bias/replica_2/ResourceApplyAdam/ReadVariableOp",
  75123. "input4": "training/TFOptimizer/Adam/update_2_3/update_conv2d/bias/replica_2/ResourceApplyAdam/ReadVariableOp_1",
  75124. "input5": "training/TFOptimizer/Adam/learning_rate/_1427",
  75125. "input6": "training/TFOptimizer/Adam/beta1/_1429",
  75126. "input7": "training/TFOptimizer/Adam/beta2/_1431",
  75127. "input8": "training/TFOptimizer/Adam/epsilon/_1433",
  75128. "input9": "training/TFOptimizer/split_6:3"
  75129. }
  75130. },
  75131. {
  75132. "ph": "s",
  75133. "cat": "DataFlow",
  75134. "name": "training/TFOptimizer/Adam/learning_rate",
  75135. "pid": 41,
  75136. "tid": 0,
  75137. "ts": 1539815912099124,
  75138. "id": 142
  75139. },
  75140. {
  75141. "ph": "t",
  75142. "cat": "DataFlow",
  75143. "name": "training/TFOptimizer/Adam/learning_rate",
  75144. "pid": 31,
  75145. "tid": 0,
  75146. "ts": 1539815917568721,
  75147. "id": 142
  75148. },
  75149. {
  75150. "ph": "s",
  75151. "cat": "DataFlow",
  75152. "name": "training/TFOptimizer/Adam/beta1",
  75153. "pid": 41,
  75154. "tid": 0,
  75155. "ts": 1539815912099133,
  75156. "id": 143
  75157. },
  75158. {
  75159. "ph": "t",
  75160. "cat": "DataFlow",
  75161. "name": "training/TFOptimizer/Adam/beta1",
  75162. "pid": 31,
  75163. "tid": 0,
  75164. "ts": 1539815917568721,
  75165. "id": 143
  75166. },
  75167. {
  75168. "ph": "s",
  75169. "cat": "DataFlow",
  75170. "name": "training/TFOptimizer/Adam/beta2",
  75171. "pid": 41,
  75172. "tid": 0,
  75173. "ts": 1539815912099143,
  75174. "id": 144
  75175. },
  75176. {
  75177. "ph": "t",
  75178. "cat": "DataFlow",
  75179. "name": "training/TFOptimizer/Adam/beta2",
  75180. "pid": 31,
  75181. "tid": 0,
  75182. "ts": 1539815917568721,
  75183. "id": 144
  75184. },
  75185. {
  75186. "ph": "s",
  75187. "cat": "DataFlow",
  75188. "name": "training/TFOptimizer/Adam/epsilon",
  75189. "pid": 41,
  75190. "tid": 0,
  75191. "ts": 1539815912099150,
  75192. "id": 145
  75193. },
  75194. {
  75195. "ph": "t",
  75196. "cat": "DataFlow",
  75197. "name": "training/TFOptimizer/Adam/epsilon",
  75198. "pid": 31,
  75199. "tid": 0,
  75200. "ts": 1539815917568721,
  75201. "id": 145
  75202. },
  75203. {
  75204. "ph": "X",
  75205. "cat": "Op",
  75206. "name": "ResourceApplyAdam",
  75207. "pid": 31,
  75208. "tid": 0,
  75209. "ts": 1539815917568848,
  75210. "dur": 99,
  75211. "args": {
  75212. "name": "training/TFOptimizer/Adam/update_2_4/update_batch_normalization_1/gamma/replica_2/ResourceApplyAdam",
  75213. "op": "ResourceApplyAdam",
  75214. "input0": "batch_normalization_1/gamma/replica_2",
  75215. "input1": "batch_normalization_1/gamma/Adam/replica_2",
  75216. "input2": "batch_normalization_1/gamma/Adam_1/replica_2",
  75217. "input3": "training/TFOptimizer/Adam/update_2_4/update_batch_normalization_1/gamma/replica_2/ResourceApplyAdam/ReadVariableOp",
  75218. "input4": "training/TFOptimizer/Adam/update_2_4/update_batch_normalization_1/gamma/replica_2/ResourceApplyAdam/ReadVariableOp_1",
  75219. "input5": "training/TFOptimizer/Adam/learning_rate/_1427",
  75220. "input6": "training/TFOptimizer/Adam/beta1/_1429",
  75221. "input7": "training/TFOptimizer/Adam/beta2/_1431",
  75222. "input8": "training/TFOptimizer/Adam/epsilon/_1433",
  75223. "input9": "training/TFOptimizer/split_6:4"
  75224. }
  75225. },
  75226. {
  75227. "ph": "s",
  75228. "cat": "DataFlow",
  75229. "name": "training/TFOptimizer/Adam/learning_rate",
  75230. "pid": 41,
  75231. "tid": 0,
  75232. "ts": 1539815912099124,
  75233. "id": 146
  75234. },
  75235. {
  75236. "ph": "t",
  75237. "cat": "DataFlow",
  75238. "name": "training/TFOptimizer/Adam/learning_rate",
  75239. "pid": 31,
  75240. "tid": 0,
  75241. "ts": 1539815917568848,
  75242. "id": 146
  75243. },
  75244. {
  75245. "ph": "s",
  75246. "cat": "DataFlow",
  75247. "name": "training/TFOptimizer/Adam/beta1",
  75248. "pid": 41,
  75249. "tid": 0,
  75250. "ts": 1539815912099133,
  75251. "id": 147
  75252. },
  75253. {
  75254. "ph": "t",
  75255. "cat": "DataFlow",
  75256. "name": "training/TFOptimizer/Adam/beta1",
  75257. "pid": 31,
  75258. "tid": 0,
  75259. "ts": 1539815917568848,
  75260. "id": 147
  75261. },
  75262. {
  75263. "ph": "s",
  75264. "cat": "DataFlow",
  75265. "name": "training/TFOptimizer/Adam/beta2",
  75266. "pid": 41,
  75267. "tid": 0,
  75268. "ts": 1539815912099143,
  75269. "id": 148
  75270. },
  75271. {
  75272. "ph": "t",
  75273. "cat": "DataFlow",
  75274. "name": "training/TFOptimizer/Adam/beta2",
  75275. "pid": 31,
  75276. "tid": 0,
  75277. "ts": 1539815917568848,
  75278. "id": 148
  75279. },
  75280. {
  75281. "ph": "s",
  75282. "cat": "DataFlow",
  75283. "name": "training/TFOptimizer/Adam/epsilon",
  75284. "pid": 41,
  75285. "tid": 0,
  75286. "ts": 1539815912099150,
  75287. "id": 149
  75288. },
  75289. {
  75290. "ph": "t",
  75291. "cat": "DataFlow",
  75292. "name": "training/TFOptimizer/Adam/epsilon",
  75293. "pid": 31,
  75294. "tid": 0,
  75295. "ts": 1539815917568848,
  75296. "id": 149
  75297. },
  75298. {
  75299. "ph": "X",
  75300. "cat": "Op",
  75301. "name": "ResourceApplyAdam",
  75302. "pid": 31,
  75303. "tid": 0,
  75304. "ts": 1539815917568953,
  75305. "dur": 131,
  75306. "args": {
  75307. "name": "training/TFOptimizer/Adam/update_2_5/update_batch_normalization_1/beta/replica_2/ResourceApplyAdam",
  75308. "op": "ResourceApplyAdam",
  75309. "input0": "batch_normalization_1/beta/replica_2",
  75310. "input1": "batch_normalization_1/beta/Adam/replica_2",
  75311. "input2": "batch_normalization_1/beta/Adam_1/replica_2",
  75312. "input3": "training/TFOptimizer/Adam/update_2_5/update_batch_normalization_1/beta/replica_2/ResourceApplyAdam/ReadVariableOp",
  75313. "input4": "training/TFOptimizer/Adam/update_2_5/update_batch_normalization_1/beta/replica_2/ResourceApplyAdam/ReadVariableOp_1",
  75314. "input5": "training/TFOptimizer/Adam/learning_rate/_1427",
  75315. "input6": "training/TFOptimizer/Adam/beta1/_1429",
  75316. "input7": "training/TFOptimizer/Adam/beta2/_1431",
  75317. "input8": "training/TFOptimizer/Adam/epsilon/_1433",
  75318. "input9": "training/TFOptimizer/split_6:5"
  75319. }
  75320. },
  75321. {
  75322. "ph": "s",
  75323. "cat": "DataFlow",
  75324. "name": "training/TFOptimizer/Adam/learning_rate",
  75325. "pid": 41,
  75326. "tid": 0,
  75327. "ts": 1539815912099124,
  75328. "id": 150
  75329. },
  75330. {
  75331. "ph": "t",
  75332. "cat": "DataFlow",
  75333. "name": "training/TFOptimizer/Adam/learning_rate",
  75334. "pid": 31,
  75335. "tid": 0,
  75336. "ts": 1539815917568953,
  75337. "id": 150
  75338. },
  75339. {
  75340. "ph": "s",
  75341. "cat": "DataFlow",
  75342. "name": "training/TFOptimizer/Adam/beta1",
  75343. "pid": 41,
  75344. "tid": 0,
  75345. "ts": 1539815912099133,
  75346. "id": 151
  75347. },
  75348. {
  75349. "ph": "t",
  75350. "cat": "DataFlow",
  75351. "name": "training/TFOptimizer/Adam/beta1",
  75352. "pid": 31,
  75353. "tid": 0,
  75354. "ts": 1539815917568953,
  75355. "id": 151
  75356. },
  75357. {
  75358. "ph": "s",
  75359. "cat": "DataFlow",
  75360. "name": "training/TFOptimizer/Adam/beta2",
  75361. "pid": 41,
  75362. "tid": 0,
  75363. "ts": 1539815912099143,
  75364. "id": 152
  75365. },
  75366. {
  75367. "ph": "t",
  75368. "cat": "DataFlow",
  75369. "name": "training/TFOptimizer/Adam/beta2",
  75370. "pid": 31,
  75371. "tid": 0,
  75372. "ts": 1539815917568953,
  75373. "id": 152
  75374. },
  75375. {
  75376. "ph": "s",
  75377. "cat": "DataFlow",
  75378. "name": "training/TFOptimizer/Adam/epsilon",
  75379. "pid": 41,
  75380. "tid": 0,
  75381. "ts": 1539815912099150,
  75382. "id": 153
  75383. },
  75384. {
  75385. "ph": "t",
  75386. "cat": "DataFlow",
  75387. "name": "training/TFOptimizer/Adam/epsilon",
  75388. "pid": 31,
  75389. "tid": 0,
  75390. "ts": 1539815917568953,
  75391. "id": 153
  75392. },
  75393. {
  75394. "ph": "X",
  75395. "cat": "Op",
  75396. "name": "ResourceApplyAdam",
  75397. "pid": 31,
  75398. "tid": 0,
  75399. "ts": 1539815917569091,
  75400. "dur": 98,
  75401. "args": {
  75402. "name": "training/TFOptimizer/Adam/update_2_7/update_conv2d_1/bias/replica_2/ResourceApplyAdam",
  75403. "op": "ResourceApplyAdam",
  75404. "input0": "conv2d_1/bias/replica_2",
  75405. "input1": "conv2d_1/bias/Adam/replica_2",
  75406. "input2": "conv2d_1/bias/Adam_1/replica_2",
  75407. "input3": "training/TFOptimizer/Adam/update_2_7/update_conv2d_1/bias/replica_2/ResourceApplyAdam/ReadVariableOp",
  75408. "input4": "training/TFOptimizer/Adam/update_2_7/update_conv2d_1/bias/replica_2/ResourceApplyAdam/ReadVariableOp_1",
  75409. "input5": "training/TFOptimizer/Adam/learning_rate/_1427",
  75410. "input6": "training/TFOptimizer/Adam/beta1/_1429",
  75411. "input7": "training/TFOptimizer/Adam/beta2/_1431",
  75412. "input8": "training/TFOptimizer/Adam/epsilon/_1433",
  75413. "input9": "training/TFOptimizer/split_6:7"
  75414. }
  75415. },
  75416. {
  75417. "ph": "s",
  75418. "cat": "DataFlow",
  75419. "name": "training/TFOptimizer/Adam/learning_rate",
  75420. "pid": 41,
  75421. "tid": 0,
  75422. "ts": 1539815912099124,
  75423. "id": 154
  75424. },
  75425. {
  75426. "ph": "t",
  75427. "cat": "DataFlow",
  75428. "name": "training/TFOptimizer/Adam/learning_rate",
  75429. "pid": 31,
  75430. "tid": 0,
  75431. "ts": 1539815917569091,
  75432. "id": 154
  75433. },
  75434. {
  75435. "ph": "s",
  75436. "cat": "DataFlow",
  75437. "name": "training/TFOptimizer/Adam/beta1",
  75438. "pid": 41,
  75439. "tid": 0,
  75440. "ts": 1539815912099133,
  75441. "id": 155
  75442. },
  75443. {
  75444. "ph": "t",
  75445. "cat": "DataFlow",
  75446. "name": "training/TFOptimizer/Adam/beta1",
  75447. "pid": 31,
  75448. "tid": 0,
  75449. "ts": 1539815917569091,
  75450. "id": 155
  75451. },
  75452. {
  75453. "ph": "s",
  75454. "cat": "DataFlow",
  75455. "name": "training/TFOptimizer/Adam/beta2",
  75456. "pid": 41,
  75457. "tid": 0,
  75458. "ts": 1539815912099143,
  75459. "id": 156
  75460. },
  75461. {
  75462. "ph": "t",
  75463. "cat": "DataFlow",
  75464. "name": "training/TFOptimizer/Adam/beta2",
  75465. "pid": 31,
  75466. "tid": 0,
  75467. "ts": 1539815917569091,
  75468. "id": 156
  75469. },
  75470. {
  75471. "ph": "s",
  75472. "cat": "DataFlow",
  75473. "name": "training/TFOptimizer/Adam/epsilon",
  75474. "pid": 41,
  75475. "tid": 0,
  75476. "ts": 1539815912099150,
  75477. "id": 157
  75478. },
  75479. {
  75480. "ph": "t",
  75481. "cat": "DataFlow",
  75482. "name": "training/TFOptimizer/Adam/epsilon",
  75483. "pid": 31,
  75484. "tid": 0,
  75485. "ts": 1539815917569091,
  75486. "id": 157
  75487. },
  75488. {
  75489. "ph": "X",
  75490. "cat": "Op",
  75491. "name": "ResourceApplyAdam",
  75492. "pid": 31,
  75493. "tid": 0,
  75494. "ts": 1539815917569196,
  75495. "dur": 237,
  75496. "args": {
  75497. "name": "training/TFOptimizer/Adam/update_2_8/update_batch_normalization_2/gamma/replica_2/ResourceApplyAdam",
  75498. "op": "ResourceApplyAdam",
  75499. "input0": "batch_normalization_2/gamma/replica_2",
  75500. "input1": "batch_normalization_2/gamma/Adam/replica_2",
  75501. "input2": "batch_normalization_2/gamma/Adam_1/replica_2",
  75502. "input3": "training/TFOptimizer/Adam/update_2_8/update_batch_normalization_2/gamma/replica_2/ResourceApplyAdam/ReadVariableOp",
  75503. "input4": "training/TFOptimizer/Adam/update_2_8/update_batch_normalization_2/gamma/replica_2/ResourceApplyAdam/ReadVariableOp_1",
  75504. "input5": "training/TFOptimizer/Adam/learning_rate/_1427",
  75505. "input6": "training/TFOptimizer/Adam/beta1/_1429",
  75506. "input7": "training/TFOptimizer/Adam/beta2/_1431",
  75507. "input8": "training/TFOptimizer/Adam/epsilon/_1433",
  75508. "input9": "training/TFOptimizer/split_6:8"
  75509. }
  75510. },
  75511. {
  75512. "ph": "s",
  75513. "cat": "DataFlow",
  75514. "name": "training/TFOptimizer/Adam/learning_rate",
  75515. "pid": 41,
  75516. "tid": 0,
  75517. "ts": 1539815912099124,
  75518. "id": 158
  75519. },
  75520. {
  75521. "ph": "t",
  75522. "cat": "DataFlow",
  75523. "name": "training/TFOptimizer/Adam/learning_rate",
  75524. "pid": 31,
  75525. "tid": 0,
  75526. "ts": 1539815917569196,
  75527. "id": 158
  75528. },
  75529. {
  75530. "ph": "s",
  75531. "cat": "DataFlow",
  75532. "name": "training/TFOptimizer/Adam/beta1",
  75533. "pid": 41,
  75534. "tid": 0,
  75535. "ts": 1539815912099133,
  75536. "id": 159
  75537. },
  75538. {
  75539. "ph": "t",
  75540. "cat": "DataFlow",
  75541. "name": "training/TFOptimizer/Adam/beta1",
  75542. "pid": 31,
  75543. "tid": 0,
  75544. "ts": 1539815917569196,
  75545. "id": 159
  75546. },
  75547. {
  75548. "ph": "s",
  75549. "cat": "DataFlow",
  75550. "name": "training/TFOptimizer/Adam/beta2",
  75551. "pid": 41,
  75552. "tid": 0,
  75553. "ts": 1539815912099143,
  75554. "id": 160
  75555. },
  75556. {
  75557. "ph": "t",
  75558. "cat": "DataFlow",
  75559. "name": "training/TFOptimizer/Adam/beta2",
  75560. "pid": 31,
  75561. "tid": 0,
  75562. "ts": 1539815917569196,
  75563. "id": 160
  75564. },
  75565. {
  75566. "ph": "s",
  75567. "cat": "DataFlow",
  75568. "name": "training/TFOptimizer/Adam/epsilon",
  75569. "pid": 41,
  75570. "tid": 0,
  75571. "ts": 1539815912099150,
  75572. "id": 161
  75573. },
  75574. {
  75575. "ph": "t",
  75576. "cat": "DataFlow",
  75577. "name": "training/TFOptimizer/Adam/epsilon",
  75578. "pid": 31,
  75579. "tid": 0,
  75580. "ts": 1539815917569196,
  75581. "id": 161
  75582. },
  75583. {
  75584. "ph": "X",
  75585. "cat": "Op",
  75586. "name": "ResourceApplyAdam",
  75587. "pid": 31,
  75588. "tid": 0,
  75589. "ts": 1539815917569440,
  75590. "dur": 118,
  75591. "args": {
  75592. "name": "training/TFOptimizer/Adam/update_2_9/update_batch_normalization_2/beta/replica_2/ResourceApplyAdam",
  75593. "op": "ResourceApplyAdam",
  75594. "input0": "batch_normalization_2/beta/replica_2",
  75595. "input1": "batch_normalization_2/beta/Adam/replica_2",
  75596. "input2": "batch_normalization_2/beta/Adam_1/replica_2",
  75597. "input3": "training/TFOptimizer/Adam/update_2_9/update_batch_normalization_2/beta/replica_2/ResourceApplyAdam/ReadVariableOp",
  75598. "input4": "training/TFOptimizer/Adam/update_2_9/update_batch_normalization_2/beta/replica_2/ResourceApplyAdam/ReadVariableOp_1",
  75599. "input5": "training/TFOptimizer/Adam/learning_rate/_1427",
  75600. "input6": "training/TFOptimizer/Adam/beta1/_1429",
  75601. "input7": "training/TFOptimizer/Adam/beta2/_1431",
  75602. "input8": "training/TFOptimizer/Adam/epsilon/_1433",
  75603. "input9": "training/TFOptimizer/split_6:9"
  75604. }
  75605. },
  75606. {
  75607. "ph": "s",
  75608. "cat": "DataFlow",
  75609. "name": "training/TFOptimizer/Adam/learning_rate",
  75610. "pid": 41,
  75611. "tid": 0,
  75612. "ts": 1539815912099124,
  75613. "id": 162
  75614. },
  75615. {
  75616. "ph": "t",
  75617. "cat": "DataFlow",
  75618. "name": "training/TFOptimizer/Adam/learning_rate",
  75619. "pid": 31,
  75620. "tid": 0,
  75621. "ts": 1539815917569440,
  75622. "id": 162
  75623. },
  75624. {
  75625. "ph": "s",
  75626. "cat": "DataFlow",
  75627. "name": "training/TFOptimizer/Adam/beta1",
  75628. "pid": 41,
  75629. "tid": 0,
  75630. "ts": 1539815912099133,
  75631. "id": 163
  75632. },
  75633. {
  75634. "ph": "t",
  75635. "cat": "DataFlow",
  75636. "name": "training/TFOptimizer/Adam/beta1",
  75637. "pid": 31,
  75638. "tid": 0,
  75639. "ts": 1539815917569440,
  75640. "id": 163
  75641. },
  75642. {
  75643. "ph": "s",
  75644. "cat": "DataFlow",
  75645. "name": "training/TFOptimizer/Adam/beta2",
  75646. "pid": 41,
  75647. "tid": 0,
  75648. "ts": 1539815912099143,
  75649. "id": 164
  75650. },
  75651. {
  75652. "ph": "t",
  75653. "cat": "DataFlow",
  75654. "name": "training/TFOptimizer/Adam/beta2",
  75655. "pid": 31,
  75656. "tid": 0,
  75657. "ts": 1539815917569440,
  75658. "id": 164
  75659. },
  75660. {
  75661. "ph": "s",
  75662. "cat": "DataFlow",
  75663. "name": "training/TFOptimizer/Adam/epsilon",
  75664. "pid": 41,
  75665. "tid": 0,
  75666. "ts": 1539815912099150,
  75667. "id": 165
  75668. },
  75669. {
  75670. "ph": "t",
  75671. "cat": "DataFlow",
  75672. "name": "training/TFOptimizer/Adam/epsilon",
  75673. "pid": 31,
  75674. "tid": 0,
  75675. "ts": 1539815917569440,
  75676. "id": 165
  75677. },
  75678. {
  75679. "ph": "X",
  75680. "cat": "Op",
  75681. "name": "Reshape",
  75682. "pid": 31,
  75683. "tid": 0,
  75684. "ts": 1539815917569564,
  75685. "dur": 11,
  75686. "args": {
  75687. "name": "training/TFOptimizer/Reshape_106",
  75688. "op": "Reshape",
  75689. "input0": "training/TFOptimizer/split_6:10",
  75690. "input1": "training/TFOptimizer/Shape_42"
  75691. }
  75692. },
  75693. {
  75694. "ph": "X",
  75695. "cat": "Op",
  75696. "name": "Reshape",
  75697. "pid": 31,
  75698. "tid": 0,
  75699. "ts": 1539815917569581,
  75700. "dur": 6,
  75701. "args": {
  75702. "name": "training/TFOptimizer/Reshape_108",
  75703. "op": "Reshape",
  75704. "input0": "training/TFOptimizer/split_6:12",
  75705. "input1": "training/TFOptimizer/Shape_44"
  75706. }
  75707. },
  75708. {
  75709. "ph": "X",
  75710. "cat": "Op",
  75711. "name": "Reshape",
  75712. "pid": 31,
  75713. "tid": 0,
  75714. "ts": 1539815917569590,
  75715. "dur": 5,
  75716. "args": {
  75717. "name": "training/TFOptimizer/Reshape_110",
  75718. "op": "Reshape",
  75719. "input0": "training/TFOptimizer/split_6:14",
  75720. "input1": "training/TFOptimizer/Shape_46"
  75721. }
  75722. },
  75723. {
  75724. "ph": "X",
  75725. "cat": "Op",
  75726. "name": "Reshape",
  75727. "pid": 31,
  75728. "tid": 0,
  75729. "ts": 1539815917569597,
  75730. "dur": 5,
  75731. "args": {
  75732. "name": "training/TFOptimizer/Reshape_98",
  75733. "op": "Reshape",
  75734. "input0": "training/TFOptimizer/split_6:2",
  75735. "input1": "training/TFOptimizer/Shape_34"
  75736. }
  75737. },
  75738. {
  75739. "ph": "X",
  75740. "cat": "Op",
  75741. "name": "Reshape",
  75742. "pid": 31,
  75743. "tid": 0,
  75744. "ts": 1539815917569605,
  75745. "dur": 5,
  75746. "args": {
  75747. "name": "training/TFOptimizer/Reshape_102",
  75748. "op": "Reshape",
  75749. "input0": "training/TFOptimizer/split_6:6",
  75750. "input1": "training/TFOptimizer/Shape_38"
  75751. }
  75752. },
  75753. {
  75754. "ph": "X",
  75755. "cat": "Op",
  75756. "name": "ResourceApplyAdam",
  75757. "pid": 31,
  75758. "tid": 0,
  75759. "ts": 1539815917569613,
  75760. "dur": 111,
  75761. "args": {
  75762. "name": "training/TFOptimizer/Adam/update_2/update_batch_normalization/gamma/replica_2/ResourceApplyAdam",
  75763. "op": "ResourceApplyAdam",
  75764. "input0": "batch_normalization/gamma/replica_2",
  75765. "input1": "batch_normalization/gamma/Adam/replica_2",
  75766. "input2": "batch_normalization/gamma/Adam_1/replica_2",
  75767. "input3": "training/TFOptimizer/Adam/update_2/update_batch_normalization/gamma/replica_2/ResourceApplyAdam/ReadVariableOp",
  75768. "input4": "training/TFOptimizer/Adam/update_2/update_batch_normalization/gamma/replica_2/ResourceApplyAdam/ReadVariableOp_1",
  75769. "input5": "training/TFOptimizer/Adam/learning_rate/_1427",
  75770. "input6": "training/TFOptimizer/Adam/beta1/_1429",
  75771. "input7": "training/TFOptimizer/Adam/beta2/_1431",
  75772. "input8": "training/TFOptimizer/Adam/epsilon/_1433",
  75773. "input9": "training/TFOptimizer/split_6"
  75774. }
  75775. },
  75776. {
  75777. "ph": "s",
  75778. "cat": "DataFlow",
  75779. "name": "training/TFOptimizer/Adam/learning_rate",
  75780. "pid": 41,
  75781. "tid": 0,
  75782. "ts": 1539815912099124,
  75783. "id": 166
  75784. },
  75785. {
  75786. "ph": "t",
  75787. "cat": "DataFlow",
  75788. "name": "training/TFOptimizer/Adam/learning_rate",
  75789. "pid": 31,
  75790. "tid": 0,
  75791. "ts": 1539815917569613,
  75792. "id": 166
  75793. },
  75794. {
  75795. "ph": "s",
  75796. "cat": "DataFlow",
  75797. "name": "training/TFOptimizer/Adam/beta1",
  75798. "pid": 41,
  75799. "tid": 0,
  75800. "ts": 1539815912099133,
  75801. "id": 167
  75802. },
  75803. {
  75804. "ph": "t",
  75805. "cat": "DataFlow",
  75806. "name": "training/TFOptimizer/Adam/beta1",
  75807. "pid": 31,
  75808. "tid": 0,
  75809. "ts": 1539815917569613,
  75810. "id": 167
  75811. },
  75812. {
  75813. "ph": "s",
  75814. "cat": "DataFlow",
  75815. "name": "training/TFOptimizer/Adam/beta2",
  75816. "pid": 41,
  75817. "tid": 0,
  75818. "ts": 1539815912099143,
  75819. "id": 168
  75820. },
  75821. {
  75822. "ph": "t",
  75823. "cat": "DataFlow",
  75824. "name": "training/TFOptimizer/Adam/beta2",
  75825. "pid": 31,
  75826. "tid": 0,
  75827. "ts": 1539815917569613,
  75828. "id": 168
  75829. },
  75830. {
  75831. "ph": "s",
  75832. "cat": "DataFlow",
  75833. "name": "training/TFOptimizer/Adam/epsilon",
  75834. "pid": 41,
  75835. "tid": 0,
  75836. "ts": 1539815912099150,
  75837. "id": 169
  75838. },
  75839. {
  75840. "ph": "t",
  75841. "cat": "DataFlow",
  75842. "name": "training/TFOptimizer/Adam/epsilon",
  75843. "pid": 31,
  75844. "tid": 0,
  75845. "ts": 1539815917569613,
  75846. "id": 169
  75847. },
  75848. {
  75849. "ph": "X",
  75850. "cat": "Op",
  75851. "name": "ResourceApplyAdam",
  75852. "pid": 31,
  75853. "tid": 0,
  75854. "ts": 1539815917569731,
  75855. "dur": 105,
  75856. "args": {
  75857. "name": "training/TFOptimizer/Adam/update_2_1/update_batch_normalization/beta/replica_2/ResourceApplyAdam",
  75858. "op": "ResourceApplyAdam",
  75859. "input0": "batch_normalization/beta/replica_2",
  75860. "input1": "batch_normalization/beta/Adam/replica_2",
  75861. "input2": "batch_normalization/beta/Adam_1/replica_2",
  75862. "input3": "training/TFOptimizer/Adam/update_2_1/update_batch_normalization/beta/replica_2/ResourceApplyAdam/ReadVariableOp",
  75863. "input4": "training/TFOptimizer/Adam/update_2_1/update_batch_normalization/beta/replica_2/ResourceApplyAdam/ReadVariableOp_1",
  75864. "input5": "training/TFOptimizer/Adam/learning_rate/_1427",
  75865. "input6": "training/TFOptimizer/Adam/beta1/_1429",
  75866. "input7": "training/TFOptimizer/Adam/beta2/_1431",
  75867. "input8": "training/TFOptimizer/Adam/epsilon/_1433",
  75868. "input9": "training/TFOptimizer/split_6:1"
  75869. }
  75870. },
  75871. {
  75872. "ph": "s",
  75873. "cat": "DataFlow",
  75874. "name": "training/TFOptimizer/Adam/learning_rate",
  75875. "pid": 41,
  75876. "tid": 0,
  75877. "ts": 1539815912099124,
  75878. "id": 170
  75879. },
  75880. {
  75881. "ph": "t",
  75882. "cat": "DataFlow",
  75883. "name": "training/TFOptimizer/Adam/learning_rate",
  75884. "pid": 31,
  75885. "tid": 0,
  75886. "ts": 1539815917569731,
  75887. "id": 170
  75888. },
  75889. {
  75890. "ph": "s",
  75891. "cat": "DataFlow",
  75892. "name": "training/TFOptimizer/Adam/beta1",
  75893. "pid": 41,
  75894. "tid": 0,
  75895. "ts": 1539815912099133,
  75896. "id": 171
  75897. },
  75898. {
  75899. "ph": "t",
  75900. "cat": "DataFlow",
  75901. "name": "training/TFOptimizer/Adam/beta1",
  75902. "pid": 31,
  75903. "tid": 0,
  75904. "ts": 1539815917569731,
  75905. "id": 171
  75906. },
  75907. {
  75908. "ph": "s",
  75909. "cat": "DataFlow",
  75910. "name": "training/TFOptimizer/Adam/beta2",
  75911. "pid": 41,
  75912. "tid": 0,
  75913. "ts": 1539815912099143,
  75914. "id": 172
  75915. },
  75916. {
  75917. "ph": "t",
  75918. "cat": "DataFlow",
  75919. "name": "training/TFOptimizer/Adam/beta2",
  75920. "pid": 31,
  75921. "tid": 0,
  75922. "ts": 1539815917569731,
  75923. "id": 172
  75924. },
  75925. {
  75926. "ph": "s",
  75927. "cat": "DataFlow",
  75928. "name": "training/TFOptimizer/Adam/epsilon",
  75929. "pid": 41,
  75930. "tid": 0,
  75931. "ts": 1539815912099150,
  75932. "id": 173
  75933. },
  75934. {
  75935. "ph": "t",
  75936. "cat": "DataFlow",
  75937. "name": "training/TFOptimizer/Adam/epsilon",
  75938. "pid": 31,
  75939. "tid": 0,
  75940. "ts": 1539815917569731,
  75941. "id": 173
  75942. },
  75943. {
  75944. "ph": "X",
  75945. "cat": "Op",
  75946. "name": "ResourceApplyAdam",
  75947. "pid": 31,
  75948. "tid": 0,
  75949. "ts": 1539815917569842,
  75950. "dur": 121,
  75951. "args": {
  75952. "name": "training/TFOptimizer/Adam/update_2_10/update_conv2d_2/kernel/replica_2/ResourceApplyAdam",
  75953. "op": "ResourceApplyAdam",
  75954. "input0": "conv2d_2/kernel/replica_2",
  75955. "input1": "conv2d_2/kernel/Adam/replica_2",
  75956. "input2": "conv2d_2/kernel/Adam_1/replica_2",
  75957. "input3": "training/TFOptimizer/Adam/update_2_10/update_conv2d_2/kernel/replica_2/ResourceApplyAdam/ReadVariableOp",
  75958. "input4": "training/TFOptimizer/Adam/update_2_10/update_conv2d_2/kernel/replica_2/ResourceApplyAdam/ReadVariableOp_1",
  75959. "input5": "training/TFOptimizer/Adam/learning_rate/_1427",
  75960. "input6": "training/TFOptimizer/Adam/beta1/_1429",
  75961. "input7": "training/TFOptimizer/Adam/beta2/_1431",
  75962. "input8": "training/TFOptimizer/Adam/epsilon/_1433",
  75963. "input9": "training/TFOptimizer/Reshape_106"
  75964. }
  75965. },
  75966. {
  75967. "ph": "s",
  75968. "cat": "DataFlow",
  75969. "name": "training/TFOptimizer/Adam/learning_rate",
  75970. "pid": 41,
  75971. "tid": 0,
  75972. "ts": 1539815912099124,
  75973. "id": 174
  75974. },
  75975. {
  75976. "ph": "t",
  75977. "cat": "DataFlow",
  75978. "name": "training/TFOptimizer/Adam/learning_rate",
  75979. "pid": 31,
  75980. "tid": 0,
  75981. "ts": 1539815917569842,
  75982. "id": 174
  75983. },
  75984. {
  75985. "ph": "s",
  75986. "cat": "DataFlow",
  75987. "name": "training/TFOptimizer/Adam/beta1",
  75988. "pid": 41,
  75989. "tid": 0,
  75990. "ts": 1539815912099133,
  75991. "id": 175
  75992. },
  75993. {
  75994. "ph": "t",
  75995. "cat": "DataFlow",
  75996. "name": "training/TFOptimizer/Adam/beta1",
  75997. "pid": 31,
  75998. "tid": 0,
  75999. "ts": 1539815917569842,
  76000. "id": 175
  76001. },
  76002. {
  76003. "ph": "s",
  76004. "cat": "DataFlow",
  76005. "name": "training/TFOptimizer/Adam/beta2",
  76006. "pid": 41,
  76007. "tid": 0,
  76008. "ts": 1539815912099143,
  76009. "id": 176
  76010. },
  76011. {
  76012. "ph": "t",
  76013. "cat": "DataFlow",
  76014. "name": "training/TFOptimizer/Adam/beta2",
  76015. "pid": 31,
  76016. "tid": 0,
  76017. "ts": 1539815917569842,
  76018. "id": 176
  76019. },
  76020. {
  76021. "ph": "s",
  76022. "cat": "DataFlow",
  76023. "name": "training/TFOptimizer/Adam/epsilon",
  76024. "pid": 41,
  76025. "tid": 0,
  76026. "ts": 1539815912099150,
  76027. "id": 177
  76028. },
  76029. {
  76030. "ph": "t",
  76031. "cat": "DataFlow",
  76032. "name": "training/TFOptimizer/Adam/epsilon",
  76033. "pid": 31,
  76034. "tid": 0,
  76035. "ts": 1539815917569842,
  76036. "id": 177
  76037. },
  76038. {
  76039. "ph": "X",
  76040. "cat": "Op",
  76041. "name": "ResourceApplyAdam",
  76042. "pid": 31,
  76043. "tid": 0,
  76044. "ts": 1539815917569975,
  76045. "dur": 106,
  76046. "args": {
  76047. "name": "training/TFOptimizer/Adam/update_2_12/update_dense/kernel/replica_2/ResourceApplyAdam",
  76048. "op": "ResourceApplyAdam",
  76049. "input0": "dense/kernel/replica_2",
  76050. "input1": "dense/kernel/Adam/replica_2",
  76051. "input2": "dense/kernel/Adam_1/replica_2",
  76052. "input3": "training/TFOptimizer/Adam/update_2_12/update_dense/kernel/replica_2/ResourceApplyAdam/ReadVariableOp",
  76053. "input4": "training/TFOptimizer/Adam/update_2_12/update_dense/kernel/replica_2/ResourceApplyAdam/ReadVariableOp_1",
  76054. "input5": "training/TFOptimizer/Adam/learning_rate/_1427",
  76055. "input6": "training/TFOptimizer/Adam/beta1/_1429",
  76056. "input7": "training/TFOptimizer/Adam/beta2/_1431",
  76057. "input8": "training/TFOptimizer/Adam/epsilon/_1433",
  76058. "input9": "training/TFOptimizer/Reshape_108"
  76059. }
  76060. },
  76061. {
  76062. "ph": "s",
  76063. "cat": "DataFlow",
  76064. "name": "training/TFOptimizer/Adam/learning_rate",
  76065. "pid": 41,
  76066. "tid": 0,
  76067. "ts": 1539815912099124,
  76068. "id": 178
  76069. },
  76070. {
  76071. "ph": "t",
  76072. "cat": "DataFlow",
  76073. "name": "training/TFOptimizer/Adam/learning_rate",
  76074. "pid": 31,
  76075. "tid": 0,
  76076. "ts": 1539815917569975,
  76077. "id": 178
  76078. },
  76079. {
  76080. "ph": "s",
  76081. "cat": "DataFlow",
  76082. "name": "training/TFOptimizer/Adam/beta1",
  76083. "pid": 41,
  76084. "tid": 0,
  76085. "ts": 1539815912099133,
  76086. "id": 179
  76087. },
  76088. {
  76089. "ph": "t",
  76090. "cat": "DataFlow",
  76091. "name": "training/TFOptimizer/Adam/beta1",
  76092. "pid": 31,
  76093. "tid": 0,
  76094. "ts": 1539815917569975,
  76095. "id": 179
  76096. },
  76097. {
  76098. "ph": "s",
  76099. "cat": "DataFlow",
  76100. "name": "training/TFOptimizer/Adam/beta2",
  76101. "pid": 41,
  76102. "tid": 0,
  76103. "ts": 1539815912099143,
  76104. "id": 180
  76105. },
  76106. {
  76107. "ph": "t",
  76108. "cat": "DataFlow",
  76109. "name": "training/TFOptimizer/Adam/beta2",
  76110. "pid": 31,
  76111. "tid": 0,
  76112. "ts": 1539815917569975,
  76113. "id": 180
  76114. },
  76115. {
  76116. "ph": "s",
  76117. "cat": "DataFlow",
  76118. "name": "training/TFOptimizer/Adam/epsilon",
  76119. "pid": 41,
  76120. "tid": 0,
  76121. "ts": 1539815912099150,
  76122. "id": 181
  76123. },
  76124. {
  76125. "ph": "t",
  76126. "cat": "DataFlow",
  76127. "name": "training/TFOptimizer/Adam/epsilon",
  76128. "pid": 31,
  76129. "tid": 0,
  76130. "ts": 1539815917569975,
  76131. "id": 181
  76132. },
  76133. {
  76134. "ph": "X",
  76135. "cat": "Op",
  76136. "name": "ResourceApplyAdam",
  76137. "pid": 31,
  76138. "tid": 0,
  76139. "ts": 1539815917570091,
  76140. "dur": 90,
  76141. "args": {
  76142. "name": "training/TFOptimizer/Adam/update_2_14/update_dense_1/kernel/replica_2/ResourceApplyAdam",
  76143. "op": "ResourceApplyAdam",
  76144. "input0": "dense_1/kernel/replica_2",
  76145. "input1": "dense_1/kernel/Adam/replica_2",
  76146. "input2": "dense_1/kernel/Adam_1/replica_2",
  76147. "input3": "training/TFOptimizer/Adam/update_2_14/update_dense_1/kernel/replica_2/ResourceApplyAdam/ReadVariableOp",
  76148. "input4": "training/TFOptimizer/Adam/update_2_14/update_dense_1/kernel/replica_2/ResourceApplyAdam/ReadVariableOp_1",
  76149. "input5": "training/TFOptimizer/Adam/learning_rate/_1427",
  76150. "input6": "training/TFOptimizer/Adam/beta1/_1429",
  76151. "input7": "training/TFOptimizer/Adam/beta2/_1431",
  76152. "input8": "training/TFOptimizer/Adam/epsilon/_1433",
  76153. "input9": "training/TFOptimizer/Reshape_110"
  76154. }
  76155. },
  76156. {
  76157. "ph": "s",
  76158. "cat": "DataFlow",
  76159. "name": "training/TFOptimizer/Adam/learning_rate",
  76160. "pid": 41,
  76161. "tid": 0,
  76162. "ts": 1539815912099124,
  76163. "id": 182
  76164. },
  76165. {
  76166. "ph": "t",
  76167. "cat": "DataFlow",
  76168. "name": "training/TFOptimizer/Adam/learning_rate",
  76169. "pid": 31,
  76170. "tid": 0,
  76171. "ts": 1539815917570091,
  76172. "id": 182
  76173. },
  76174. {
  76175. "ph": "s",
  76176. "cat": "DataFlow",
  76177. "name": "training/TFOptimizer/Adam/beta1",
  76178. "pid": 41,
  76179. "tid": 0,
  76180. "ts": 1539815912099133,
  76181. "id": 183
  76182. },
  76183. {
  76184. "ph": "t",
  76185. "cat": "DataFlow",
  76186. "name": "training/TFOptimizer/Adam/beta1",
  76187. "pid": 31,
  76188. "tid": 0,
  76189. "ts": 1539815917570091,
  76190. "id": 183
  76191. },
  76192. {
  76193. "ph": "s",
  76194. "cat": "DataFlow",
  76195. "name": "training/TFOptimizer/Adam/beta2",
  76196. "pid": 41,
  76197. "tid": 0,
  76198. "ts": 1539815912099143,
  76199. "id": 184
  76200. },
  76201. {
  76202. "ph": "t",
  76203. "cat": "DataFlow",
  76204. "name": "training/TFOptimizer/Adam/beta2",
  76205. "pid": 31,
  76206. "tid": 0,
  76207. "ts": 1539815917570091,
  76208. "id": 184
  76209. },
  76210. {
  76211. "ph": "s",
  76212. "cat": "DataFlow",
  76213. "name": "training/TFOptimizer/Adam/epsilon",
  76214. "pid": 41,
  76215. "tid": 0,
  76216. "ts": 1539815912099150,
  76217. "id": 185
  76218. },
  76219. {
  76220. "ph": "t",
  76221. "cat": "DataFlow",
  76222. "name": "training/TFOptimizer/Adam/epsilon",
  76223. "pid": 31,
  76224. "tid": 0,
  76225. "ts": 1539815917570091,
  76226. "id": 185
  76227. },
  76228. {
  76229. "ph": "X",
  76230. "cat": "Op",
  76231. "name": "ResourceApplyAdam",
  76232. "pid": 31,
  76233. "tid": 0,
  76234. "ts": 1539815917570189,
  76235. "dur": 115,
  76236. "args": {
  76237. "name": "training/TFOptimizer/Adam/update_2_2/update_conv2d/kernel/replica_2/ResourceApplyAdam",
  76238. "op": "ResourceApplyAdam",
  76239. "input0": "conv2d/kernel/replica_2",
  76240. "input1": "conv2d/kernel/Adam/replica_2",
  76241. "input2": "conv2d/kernel/Adam_1/replica_2",
  76242. "input3": "training/TFOptimizer/Adam/update_2_2/update_conv2d/kernel/replica_2/ResourceApplyAdam/ReadVariableOp",
  76243. "input4": "training/TFOptimizer/Adam/update_2_2/update_conv2d/kernel/replica_2/ResourceApplyAdam/ReadVariableOp_1",
  76244. "input5": "training/TFOptimizer/Adam/learning_rate/_1427",
  76245. "input6": "training/TFOptimizer/Adam/beta1/_1429",
  76246. "input7": "training/TFOptimizer/Adam/beta2/_1431",
  76247. "input8": "training/TFOptimizer/Adam/epsilon/_1433",
  76248. "input9": "training/TFOptimizer/Reshape_98"
  76249. }
  76250. },
  76251. {
  76252. "ph": "s",
  76253. "cat": "DataFlow",
  76254. "name": "training/TFOptimizer/Adam/learning_rate",
  76255. "pid": 41,
  76256. "tid": 0,
  76257. "ts": 1539815912099124,
  76258. "id": 186
  76259. },
  76260. {
  76261. "ph": "t",
  76262. "cat": "DataFlow",
  76263. "name": "training/TFOptimizer/Adam/learning_rate",
  76264. "pid": 31,
  76265. "tid": 0,
  76266. "ts": 1539815917570189,
  76267. "id": 186
  76268. },
  76269. {
  76270. "ph": "s",
  76271. "cat": "DataFlow",
  76272. "name": "training/TFOptimizer/Adam/beta1",
  76273. "pid": 41,
  76274. "tid": 0,
  76275. "ts": 1539815912099133,
  76276. "id": 187
  76277. },
  76278. {
  76279. "ph": "t",
  76280. "cat": "DataFlow",
  76281. "name": "training/TFOptimizer/Adam/beta1",
  76282. "pid": 31,
  76283. "tid": 0,
  76284. "ts": 1539815917570189,
  76285. "id": 187
  76286. },
  76287. {
  76288. "ph": "s",
  76289. "cat": "DataFlow",
  76290. "name": "training/TFOptimizer/Adam/beta2",
  76291. "pid": 41,
  76292. "tid": 0,
  76293. "ts": 1539815912099143,
  76294. "id": 188
  76295. },
  76296. {
  76297. "ph": "t",
  76298. "cat": "DataFlow",
  76299. "name": "training/TFOptimizer/Adam/beta2",
  76300. "pid": 31,
  76301. "tid": 0,
  76302. "ts": 1539815917570189,
  76303. "id": 188
  76304. },
  76305. {
  76306. "ph": "s",
  76307. "cat": "DataFlow",
  76308. "name": "training/TFOptimizer/Adam/epsilon",
  76309. "pid": 41,
  76310. "tid": 0,
  76311. "ts": 1539815912099150,
  76312. "id": 189
  76313. },
  76314. {
  76315. "ph": "t",
  76316. "cat": "DataFlow",
  76317. "name": "training/TFOptimizer/Adam/epsilon",
  76318. "pid": 31,
  76319. "tid": 0,
  76320. "ts": 1539815917570189,
  76321. "id": 189
  76322. },
  76323. {
  76324. "ph": "X",
  76325. "cat": "Op",
  76326. "name": "ResourceApplyAdam",
  76327. "pid": 31,
  76328. "tid": 0,
  76329. "ts": 1539815917570311,
  76330. "dur": 91,
  76331. "args": {
  76332. "name": "training/TFOptimizer/Adam/update_2_6/update_conv2d_1/kernel/replica_2/ResourceApplyAdam",
  76333. "op": "ResourceApplyAdam",
  76334. "input0": "conv2d_1/kernel/replica_2",
  76335. "input1": "conv2d_1/kernel/Adam/replica_2",
  76336. "input2": "conv2d_1/kernel/Adam_1/replica_2",
  76337. "input3": "training/TFOptimizer/Adam/update_2_6/update_conv2d_1/kernel/replica_2/ResourceApplyAdam/ReadVariableOp",
  76338. "input4": "training/TFOptimizer/Adam/update_2_6/update_conv2d_1/kernel/replica_2/ResourceApplyAdam/ReadVariableOp_1",
  76339. "input5": "training/TFOptimizer/Adam/learning_rate/_1427",
  76340. "input6": "training/TFOptimizer/Adam/beta1/_1429",
  76341. "input7": "training/TFOptimizer/Adam/beta2/_1431",
  76342. "input8": "training/TFOptimizer/Adam/epsilon/_1433",
  76343. "input9": "training/TFOptimizer/Reshape_102"
  76344. }
  76345. },
  76346. {
  76347. "ph": "s",
  76348. "cat": "DataFlow",
  76349. "name": "training/TFOptimizer/Adam/learning_rate",
  76350. "pid": 41,
  76351. "tid": 0,
  76352. "ts": 1539815912099124,
  76353. "id": 190
  76354. },
  76355. {
  76356. "ph": "t",
  76357. "cat": "DataFlow",
  76358. "name": "training/TFOptimizer/Adam/learning_rate",
  76359. "pid": 31,
  76360. "tid": 0,
  76361. "ts": 1539815917570311,
  76362. "id": 190
  76363. },
  76364. {
  76365. "ph": "s",
  76366. "cat": "DataFlow",
  76367. "name": "training/TFOptimizer/Adam/beta1",
  76368. "pid": 41,
  76369. "tid": 0,
  76370. "ts": 1539815912099133,
  76371. "id": 191
  76372. },
  76373. {
  76374. "ph": "t",
  76375. "cat": "DataFlow",
  76376. "name": "training/TFOptimizer/Adam/beta1",
  76377. "pid": 31,
  76378. "tid": 0,
  76379. "ts": 1539815917570311,
  76380. "id": 191
  76381. },
  76382. {
  76383. "ph": "s",
  76384. "cat": "DataFlow",
  76385. "name": "training/TFOptimizer/Adam/beta2",
  76386. "pid": 41,
  76387. "tid": 0,
  76388. "ts": 1539815912099143,
  76389. "id": 192
  76390. },
  76391. {
  76392. "ph": "t",
  76393. "cat": "DataFlow",
  76394. "name": "training/TFOptimizer/Adam/beta2",
  76395. "pid": 31,
  76396. "tid": 0,
  76397. "ts": 1539815917570311,
  76398. "id": 192
  76399. },
  76400. {
  76401. "ph": "s",
  76402. "cat": "DataFlow",
  76403. "name": "training/TFOptimizer/Adam/epsilon",
  76404. "pid": 41,
  76405. "tid": 0,
  76406. "ts": 1539815912099150,
  76407. "id": 193
  76408. },
  76409. {
  76410. "ph": "t",
  76411. "cat": "DataFlow",
  76412. "name": "training/TFOptimizer/Adam/epsilon",
  76413. "pid": 31,
  76414. "tid": 0,
  76415. "ts": 1539815917570311,
  76416. "id": 193
  76417. },
  76418. {
  76419. "ph": "X",
  76420. "cat": "Op",
  76421. "name": "NoOp",
  76422. "pid": 31,
  76423. "tid": 0,
  76424. "ts": 1539815917570413,
  76425. "dur": 6,
  76426. "args": {
  76427. "name": "training/TFOptimizer/Adam/update_0_16/update/NoOp_2",
  76428. "op": "NoOp",
  76429. "input0": "^training/TFOptimizer/Adam/update_2/update_batch_normalization/gamma/replica_2/ResourceApplyAdam",
  76430. "input1": "^training/TFOptimizer/Adam/update_2_1/update_batch_normalization/beta/replica_2/ResourceApplyAdam",
  76431. "input2": "^training/TFOptimizer/Adam/update_2_10/update_conv2d_2/kernel/replica_2/ResourceApplyAdam",
  76432. "input3": "^training/TFOptimizer/Adam/update_2_11/update_conv2d_2/bias/replica_2/ResourceApplyAdam",
  76433. "input4": "^training/TFOptimizer/Adam/update_2_12/update_dense/kernel/replica_2/ResourceApplyAdam",
  76434. "input5": "^training/TFOptimizer/Adam/update_2_13/update_dense/bias/replica_2/ResourceApplyAdam",
  76435. "input6": "^training/TFOptimizer/Adam/update_2_14/update_dense_1/kernel/replica_2/ResourceApplyAdam",
  76436. "input7": "^training/TFOptimizer/Adam/update_2_15/update_dense_1/bias/replica_2/ResourceApplyAdam",
  76437. "input8": "^training/TFOptimizer/Adam/update_2_2/update_conv2d/kernel/replica_2/ResourceApplyAdam",
  76438. "input9": "^training/TFOptimizer/Adam/update_2_3/update_conv2d/bias/replica_2/ResourceApplyAdam",
  76439. "input10": "^training/TFOptimizer/Adam/update_2_4/update_batch_normalization_1/gamma/replica_2/ResourceApplyAdam",
  76440. "input11": "^training/TFOptimizer/Adam/update_2_5/update_batch_normalization_1/beta/replica_2/ResourceApplyAdam",
  76441. "input12": "^training/TFOptimizer/Adam/update_2_6/update_conv2d_1/kernel/replica_2/ResourceApplyAdam",
  76442. "input13": "^training/TFOptimizer/Adam/update_2_7/update_conv2d_1/bias/replica_2/ResourceApplyAdam",
  76443. "input14": "^training/TFOptimizer/Adam/update_2_8/update_batch_normalization_2/gamma/replica_2/ResourceApplyAdam",
  76444. "input15": "^training/TFOptimizer/Adam/update_2_9/update_batch_normalization_2/beta/replica_2/ResourceApplyAdam"
  76445. }
  76446. },
  76447. {
  76448. "ph": "X",
  76449. "cat": "Op",
  76450. "name": "Const",
  76451. "pid": 31,
  76452. "tid": 0,
  76453. "ts": 1539815917570426,
  76454. "dur": 8,
  76455. "args": {
  76456. "name": "GroupCrossDeviceControlEdges_2/training/TFOptimizer/Adam/update_3_16/ReadVariableOp/_1466",
  76457. "op": "Const",
  76458. "input0": "^GroupCrossDeviceControlEdges_2/training/TFOptimizer/Adam/update_3_16/ReadVariableOp"
  76459. }
  76460. },
  76461. {
  76462. "ph": "X",
  76463. "cat": "Op",
  76464. "name": "Const",
  76465. "pid": 31,
  76466. "tid": 0,
  76467. "ts": 1539815917570437,
  76468. "dur": 5,
  76469. "args": {
  76470. "name": "GroupCrossDeviceControlEdges_2/training/TFOptimizer/Adam/update_3_16/ReadVariableOp_2/_1478",
  76471. "op": "Const",
  76472. "input0": "^GroupCrossDeviceControlEdges_2/training/TFOptimizer/Adam/update_3_16/ReadVariableOp_2"
  76473. }
  76474. },
  76475. {
  76476. "ph": "X",
  76477. "cat": "Op",
  76478. "name": "Const",
  76479. "pid": 31,
  76480. "tid": 0,
  76481. "ts": 1539815917570445,
  76482. "dur": 4,
  76483. "args": {
  76484. "name": "GroupCrossDeviceControlEdges_1/training/TFOptimizer/Adam/update_0_16/ReadVariableOp/_1486",
  76485. "op": "Const",
  76486. "input0": "^GroupCrossDeviceControlEdges_1/training/TFOptimizer/Adam/update_0_16/ReadVariableOp"
  76487. }
  76488. },
  76489. {
  76490. "ph": "X",
  76491. "cat": "Op",
  76492. "name": "Const",
  76493. "pid": 31,
  76494. "tid": 0,
  76495. "ts": 1539815917570452,
  76496. "dur": 5,
  76497. "args": {
  76498. "name": "GroupCrossDeviceControlEdges_1/training/TFOptimizer/Adam/update_0_16/ReadVariableOp_2/_1498",
  76499. "op": "Const",
  76500. "input0": "^GroupCrossDeviceControlEdges_1/training/TFOptimizer/Adam/update_0_16/ReadVariableOp_2"
  76501. }
  76502. },
  76503. {
  76504. "ph": "X",
  76505. "cat": "Op",
  76506. "name": "Const",
  76507. "pid": 31,
  76508. "tid": 0,
  76509. "ts": 1539815917570460,
  76510. "dur": 4,
  76511. "args": {
  76512. "name": "GroupCrossDeviceControlEdges_1/training/TFOptimizer/Adam/update_1_16/ReadVariableOp/_1510",
  76513. "op": "Const",
  76514. "input0": "^GroupCrossDeviceControlEdges_1/training/TFOptimizer/Adam/update_1_16/ReadVariableOp"
  76515. }
  76516. },
  76517. {
  76518. "ph": "X",
  76519. "cat": "Op",
  76520. "name": "Const",
  76521. "pid": 31,
  76522. "tid": 0,
  76523. "ts": 1539815917570467,
  76524. "dur": 5,
  76525. "args": {
  76526. "name": "GroupCrossDeviceControlEdges_1/training/TFOptimizer/Adam/update_1_16/ReadVariableOp_2/_1522",
  76527. "op": "Const",
  76528. "input0": "^GroupCrossDeviceControlEdges_1/training/TFOptimizer/Adam/update_1_16/ReadVariableOp_2"
  76529. }
  76530. },
  76531. {
  76532. "ph": "X",
  76533. "cat": "Op",
  76534. "name": "Const",
  76535. "pid": 31,
  76536. "tid": 0,
  76537. "ts": 1539815917570475,
  76538. "dur": 4,
  76539. "args": {
  76540. "name": "training/TFOptimizer/Adam/update_0_16/update/NoOp_2/_1550",
  76541. "op": "Const",
  76542. "input0": "^training/TFOptimizer/Adam/update_0_16/update/NoOp_2"
  76543. }
  76544. },
  76545. {
  76546. "ph": "X",
  76547. "cat": "Op",
  76548. "name": "Const",
  76549. "pid": 31,
  76550. "tid": 0,
  76551. "ts": 1539815917570482,
  76552. "dur": 4,
  76553. "args": {
  76554. "name": "training/TFOptimizer/Adam/update_0_16/update/NoOp_2/_1558",
  76555. "op": "Const",
  76556. "input0": "^training/TFOptimizer/Adam/update_0_16/update/NoOp_2"
  76557. }
  76558. },
  76559. {
  76560. "ph": "X",
  76561. "cat": "Op",
  76562. "name": "Const",
  76563. "pid": 31,
  76564. "tid": 0,
  76565. "ts": 1539815917570488,
  76566. "dur": 6,
  76567. "args": {
  76568. "name": "training/TFOptimizer/Adam/update_0_16/update/NoOp_2/_1570",
  76569. "op": "Const",
  76570. "input0": "^training/TFOptimizer/Adam/update_0_16/update/NoOp_2"
  76571. }
  76572. },
  76573. {
  76574. "ph": "X",
  76575. "cat": "Op",
  76576. "name": "Identity",
  76577. "pid": 31,
  76578. "tid": 0,
  76579. "ts": 1539815917570574,
  76580. "dur": 16,
  76581. "args": {
  76582. "name": "GroupCrossDeviceControlEdges_1/training/TFOptimizer/Adam/update_2_16/ReadVariableOp_2/_1441",
  76583. "op": "Identity",
  76584. "input0": "GroupCrossDeviceControlEdges_1/training/TFOptimizer/Adam/update_2_16/ReadVariableOp_2/_1440"
  76585. }
  76586. },
  76587. {
  76588. "ph": "X",
  76589. "cat": "Op",
  76590. "name": "Identity",
  76591. "pid": 31,
  76592. "tid": 0,
  76593. "ts": 1539815917570702,
  76594. "dur": 9,
  76595. "args": {
  76596. "name": "GroupCrossDeviceControlEdges_1/training/TFOptimizer/Adam/update_2_16/ReadVariableOp/_1453",
  76597. "op": "Identity",
  76598. "input0": "GroupCrossDeviceControlEdges_1/training/TFOptimizer/Adam/update_2_16/ReadVariableOp/_1452"
  76599. }
  76600. },
  76601. {
  76602. "ph": "X",
  76603. "cat": "Op",
  76604. "name": "Identity",
  76605. "pid": 31,
  76606. "tid": 0,
  76607. "ts": 1539815917570725,
  76608. "dur": 6,
  76609. "args": {
  76610. "name": "training/TFOptimizer/Adam/update_0_16/update/NoOp_1/_1537",
  76611. "op": "Identity",
  76612. "input0": "training/TFOptimizer/Adam/update_0_16/update/NoOp_1/_1536"
  76613. }
  76614. },
  76615. {
  76616. "ph": "X",
  76617. "cat": "Op",
  76618. "name": "Identity",
  76619. "pid": 31,
  76620. "tid": 0,
  76621. "ts": 1539815917570910,
  76622. "dur": 9,
  76623. "args": {
  76624. "name": "training/TFOptimizer/Adam/update_0_16/update/NoOp_3/_1541",
  76625. "op": "Identity",
  76626. "input0": "training/TFOptimizer/Adam/update_0_16/update/NoOp_3/_1540"
  76627. }
  76628. },
  76629. {
  76630. "ph": "X",
  76631. "cat": "Op",
  76632. "name": "Identity",
  76633. "pid": 31,
  76634. "tid": 0,
  76635. "ts": 1539815917570921,
  76636. "dur": 8,
  76637. "args": {
  76638. "name": "GroupCrossDeviceControlEdges_0/training/TFOptimizer/Adam/update_2_16/ReadVariableOp_2/_1437",
  76639. "op": "Identity",
  76640. "input0": "GroupCrossDeviceControlEdges_0/training/TFOptimizer/Adam/update_2_16/ReadVariableOp_2/_1436"
  76641. }
  76642. },
  76643. {
  76644. "ph": "X",
  76645. "cat": "Op",
  76646. "name": "Identity",
  76647. "pid": 31,
  76648. "tid": 0,
  76649. "ts": 1539815917570980,
  76650. "dur": 10,
  76651. "args": {
  76652. "name": "GroupCrossDeviceControlEdges_2/training/TFOptimizer/Adam/update_2_16/ReadVariableOp_2/_1445",
  76653. "op": "Identity",
  76654. "input0": "GroupCrossDeviceControlEdges_2/training/TFOptimizer/Adam/update_2_16/ReadVariableOp_2/_1444"
  76655. }
  76656. },
  76657. {
  76658. "ph": "X",
  76659. "cat": "Op",
  76660. "name": "ReadVariableOp",
  76661. "pid": 31,
  76662. "tid": 0,
  76663. "ts": 1539815917570993,
  76664. "dur": 10,
  76665. "args": {
  76666. "name": "training/TFOptimizer/Adam/update_2_16/ReadVariableOp_2",
  76667. "op": "ReadVariableOp",
  76668. "input0": "training/TFOptimizer/beta2_power/replica_2",
  76669. "input1": "^training/TFOptimizer/Adam/update_2_9/update_batch_normalization_2/beta/replica_2/ResourceApplyAdam",
  76670. "input2": "^training/TFOptimizer/Adam/update_2_8/update_batch_normalization_2/gamma/replica_2/ResourceApplyAdam",
  76671. "input3": "^training/TFOptimizer/Adam/update_2_7/update_conv2d_1/bias/replica_2/ResourceApplyAdam",
  76672. "input4": "^training/TFOptimizer/Adam/update_2_6/update_conv2d_1/kernel/replica_2/ResourceApplyAdam",
  76673. "input5": "^training/TFOptimizer/Adam/update_2_5/update_batch_normalization_1/beta/replica_2/ResourceApplyAdam",
  76674. "input6": "^training/TFOptimizer/Adam/update_2_4/update_batch_normalization_1/gamma/replica_2/ResourceApplyAdam",
  76675. "input7": "^training/TFOptimizer/Adam/update_2_3/update_conv2d/bias/replica_2/ResourceApplyAdam",
  76676. "input8": "^training/TFOptimizer/Adam/update_2_2/update_conv2d/kernel/replica_2/ResourceApplyAdam",
  76677. "input9": "^training/TFOptimizer/Adam/update_2_15/update_dense_1/bias/replica_2/ResourceApplyAdam",
  76678. "input10": "^training/TFOptimizer/Adam/update_2_14/update_dense_1/kernel/replica_2/ResourceApplyAdam",
  76679. "input11": "^training/TFOptimizer/Adam/update_2_13/update_dense/bias/replica_2/ResourceApplyAdam",
  76680. "input12": "^training/TFOptimizer/Adam/update_2_12/update_dense/kernel/replica_2/ResourceApplyAdam",
  76681. "input13": "^training/TFOptimizer/Adam/update_2_11/update_conv2d_2/bias/replica_2/ResourceApplyAdam",
  76682. "input14": "^training/TFOptimizer/Adam/update_2_10/update_conv2d_2/kernel/replica_2/ResourceApplyAdam",
  76683. "input15": "^training/TFOptimizer/Adam/update_2_1/update_batch_normalization/beta/replica_2/ResourceApplyAdam",
  76684. "input16": "^training/TFOptimizer/Adam/update_2/update_batch_normalization/gamma/replica_2/ResourceApplyAdam",
  76685. "input17": "^GroupCrossDeviceControlEdges_0/training/TFOptimizer/Adam/update_2_16/ReadVariableOp_2/_1437",
  76686. "input18": "^GroupCrossDeviceControlEdges_1/training/TFOptimizer/Adam/update_2_16/ReadVariableOp_2/_1441",
  76687. "input19": "^GroupCrossDeviceControlEdges_2/training/TFOptimizer/Adam/update_2_16/ReadVariableOp_2/_1445"
  76688. }
  76689. },
  76690. {
  76691. "ph": "X",
  76692. "cat": "Op",
  76693. "name": "Identity",
  76694. "pid": 31,
  76695. "tid": 0,
  76696. "ts": 1539815917571009,
  76697. "dur": 7,
  76698. "args": {
  76699. "name": "GroupCrossDeviceControlEdges_0/training/TFOptimizer/Adam/update_2_16/ReadVariableOp/_1449",
  76700. "op": "Identity",
  76701. "input0": "GroupCrossDeviceControlEdges_0/training/TFOptimizer/Adam/update_2_16/ReadVariableOp/_1448"
  76702. }
  76703. },
  76704. {
  76705. "ph": "X",
  76706. "cat": "Op",
  76707. "name": "Identity",
  76708. "pid": 31,
  76709. "tid": 0,
  76710. "ts": 1539815917571037,
  76711. "dur": 6,
  76712. "args": {
  76713. "name": "training/TFOptimizer/Adam/update_1_16/update/NoOp/_1533",
  76714. "op": "Identity",
  76715. "input0": "training/TFOptimizer/Adam/update_1_16/update/NoOp/_1532"
  76716. }
  76717. },
  76718. {
  76719. "ph": "X",
  76720. "cat": "Op",
  76721. "name": "Mul",
  76722. "pid": 31,
  76723. "tid": 1,
  76724. "ts": 1539815917571016,
  76725. "dur": 36,
  76726. "args": {
  76727. "name": "training/TFOptimizer/Adam/update_2_16/mul_1",
  76728. "op": "Mul",
  76729. "input0": "training/TFOptimizer/Adam/update_2_16/ReadVariableOp_2",
  76730. "input1": "training/TFOptimizer/Adam/beta2/_1431"
  76731. }
  76732. },
  76733. {
  76734. "ph": "s",
  76735. "cat": "DataFlow",
  76736. "name": "training/TFOptimizer/Adam/update_2_16/ReadVariableOp_2",
  76737. "pid": 31,
  76738. "tid": 0,
  76739. "ts": 1539815917571003,
  76740. "id": 194
  76741. },
  76742. {
  76743. "ph": "t",
  76744. "cat": "DataFlow",
  76745. "name": "training/TFOptimizer/Adam/update_2_16/ReadVariableOp_2",
  76746. "pid": 31,
  76747. "tid": 1,
  76748. "ts": 1539815917571016,
  76749. "id": 194
  76750. },
  76751. {
  76752. "ph": "s",
  76753. "cat": "DataFlow",
  76754. "name": "training/TFOptimizer/Adam/beta2",
  76755. "pid": 41,
  76756. "tid": 0,
  76757. "ts": 1539815912099143,
  76758. "id": 195
  76759. },
  76760. {
  76761. "ph": "t",
  76762. "cat": "DataFlow",
  76763. "name": "training/TFOptimizer/Adam/beta2",
  76764. "pid": 31,
  76765. "tid": 1,
  76766. "ts": 1539815917571016,
  76767. "id": 195
  76768. },
  76769. {
  76770. "ph": "X",
  76771. "cat": "Op",
  76772. "name": "AssignVariableOp",
  76773. "pid": 31,
  76774. "tid": 0,
  76775. "ts": 1539815917571056,
  76776. "dur": 7,
  76777. "args": {
  76778. "name": "training/TFOptimizer/Adam/update_2_16/AssignVariableOp_1",
  76779. "op": "AssignVariableOp",
  76780. "input0": "training/TFOptimizer/beta2_power/replica_2",
  76781. "input1": "training/TFOptimizer/Adam/update_2_16/mul_1"
  76782. }
  76783. },
  76784. {
  76785. "ph": "s",
  76786. "cat": "DataFlow",
  76787. "name": "training/TFOptimizer/Adam/update_2_16/mul_1",
  76788. "pid": 31,
  76789. "tid": 1,
  76790. "ts": 1539815917571052,
  76791. "id": 196
  76792. },
  76793. {
  76794. "ph": "t",
  76795. "cat": "DataFlow",
  76796. "name": "training/TFOptimizer/Adam/update_2_16/mul_1",
  76797. "pid": 31,
  76798. "tid": 0,
  76799. "ts": 1539815917571056,
  76800. "id": 196
  76801. },
  76802. {
  76803. "ph": "X",
  76804. "cat": "Op",
  76805. "name": "ReadVariableOp",
  76806. "pid": 31,
  76807. "tid": 0,
  76808. "ts": 1539815917571066,
  76809. "dur": 6,
  76810. "args": {
  76811. "name": "training/TFOptimizer/Adam/update_2_16/ReadVariableOp_3",
  76812. "op": "ReadVariableOp",
  76813. "input0": "training/TFOptimizer/beta2_power/replica_2",
  76814. "input1": "^training/TFOptimizer/Adam/update_2_16/AssignVariableOp_1"
  76815. }
  76816. },
  76817. {
  76818. "ph": "X",
  76819. "cat": "Op",
  76820. "name": "Identity",
  76821. "pid": 31,
  76822. "tid": 0,
  76823. "ts": 1539815917571186,
  76824. "dur": 8,
  76825. "args": {
  76826. "name": "GroupCrossDeviceControlEdges_2/training/TFOptimizer/Adam/update_2_16/ReadVariableOp/_1457",
  76827. "op": "Identity",
  76828. "input0": "GroupCrossDeviceControlEdges_2/training/TFOptimizer/Adam/update_2_16/ReadVariableOp/_1456"
  76829. }
  76830. },
  76831. {
  76832. "ph": "X",
  76833. "cat": "Op",
  76834. "name": "ReadVariableOp",
  76835. "pid": 31,
  76836. "tid": 0,
  76837. "ts": 1539815917571197,
  76838. "dur": 15,
  76839. "args": {
  76840. "name": "training/TFOptimizer/Adam/update_2_16/ReadVariableOp",
  76841. "op": "ReadVariableOp",
  76842. "input0": "training/TFOptimizer/beta1_power/replica_2",
  76843. "input1": "^training/TFOptimizer/Adam/update_2_9/update_batch_normalization_2/beta/replica_2/ResourceApplyAdam",
  76844. "input2": "^training/TFOptimizer/Adam/update_2_8/update_batch_normalization_2/gamma/replica_2/ResourceApplyAdam",
  76845. "input3": "^training/TFOptimizer/Adam/update_2_7/update_conv2d_1/bias/replica_2/ResourceApplyAdam",
  76846. "input4": "^training/TFOptimizer/Adam/update_2_6/update_conv2d_1/kernel/replica_2/ResourceApplyAdam",
  76847. "input5": "^training/TFOptimizer/Adam/update_2_5/update_batch_normalization_1/beta/replica_2/ResourceApplyAdam",
  76848. "input6": "^training/TFOptimizer/Adam/update_2_4/update_batch_normalization_1/gamma/replica_2/ResourceApplyAdam",
  76849. "input7": "^training/TFOptimizer/Adam/update_2_3/update_conv2d/bias/replica_2/ResourceApplyAdam",
  76850. "input8": "^training/TFOptimizer/Adam/update_2_2/update_conv2d/kernel/replica_2/ResourceApplyAdam",
  76851. "input9": "^training/TFOptimizer/Adam/update_2_15/update_dense_1/bias/replica_2/ResourceApplyAdam",
  76852. "input10": "^training/TFOptimizer/Adam/update_2_14/update_dense_1/kernel/replica_2/ResourceApplyAdam",
  76853. "input11": "^training/TFOptimizer/Adam/update_2_13/update_dense/bias/replica_2/ResourceApplyAdam",
  76854. "input12": "^training/TFOptimizer/Adam/update_2_12/update_dense/kernel/replica_2/ResourceApplyAdam",
  76855. "input13": "^training/TFOptimizer/Adam/update_2_11/update_conv2d_2/bias/replica_2/ResourceApplyAdam",
  76856. "input14": "^training/TFOptimizer/Adam/update_2_10/update_conv2d_2/kernel/replica_2/ResourceApplyAdam",
  76857. "input15": "^training/TFOptimizer/Adam/update_2_1/update_batch_normalization/beta/replica_2/ResourceApplyAdam",
  76858. "input16": "^training/TFOptimizer/Adam/update_2/update_batch_normalization/gamma/replica_2/ResourceApplyAdam",
  76859. "input17": "^GroupCrossDeviceControlEdges_0/training/TFOptimizer/Adam/update_2_16/ReadVariableOp/_1449",
  76860. "input18": "^GroupCrossDeviceControlEdges_1/training/TFOptimizer/Adam/update_2_16/ReadVariableOp/_1453",
  76861. "input19": "^GroupCrossDeviceControlEdges_2/training/TFOptimizer/Adam/update_2_16/ReadVariableOp/_1457"
  76862. }
  76863. },
  76864. {
  76865. "ph": "X",
  76866. "cat": "Op",
  76867. "name": "Identity",
  76868. "pid": 31,
  76869. "tid": 0,
  76870. "ts": 1539815917571238,
  76871. "dur": 8,
  76872. "args": {
  76873. "name": "training/TFOptimizer/Adam/update_3_16/update/_1613",
  76874. "op": "Identity",
  76875. "input0": "training/TFOptimizer/Adam/update_3_16/update/_1612"
  76876. }
  76877. },
  76878. {
  76879. "ph": "X",
  76880. "cat": "Op",
  76881. "name": "Mul",
  76882. "pid": 31,
  76883. "tid": 1,
  76884. "ts": 1539815917571224,
  76885. "dur": 57,
  76886. "args": {
  76887. "name": "training/TFOptimizer/Adam/update_2_16/mul",
  76888. "op": "Mul",
  76889. "input0": "training/TFOptimizer/Adam/update_2_16/ReadVariableOp",
  76890. "input1": "training/TFOptimizer/Adam/beta1/_1429"
  76891. }
  76892. },
  76893. {
  76894. "ph": "s",
  76895. "cat": "DataFlow",
  76896. "name": "training/TFOptimizer/Adam/update_2_16/ReadVariableOp",
  76897. "pid": 31,
  76898. "tid": 0,
  76899. "ts": 1539815917571212,
  76900. "id": 197
  76901. },
  76902. {
  76903. "ph": "t",
  76904. "cat": "DataFlow",
  76905. "name": "training/TFOptimizer/Adam/update_2_16/ReadVariableOp",
  76906. "pid": 31,
  76907. "tid": 1,
  76908. "ts": 1539815917571224,
  76909. "id": 197
  76910. },
  76911. {
  76912. "ph": "s",
  76913. "cat": "DataFlow",
  76914. "name": "training/TFOptimizer/Adam/beta1",
  76915. "pid": 41,
  76916. "tid": 0,
  76917. "ts": 1539815912099133,
  76918. "id": 198
  76919. },
  76920. {
  76921. "ph": "t",
  76922. "cat": "DataFlow",
  76923. "name": "training/TFOptimizer/Adam/beta1",
  76924. "pid": 31,
  76925. "tid": 1,
  76926. "ts": 1539815917571224,
  76927. "id": 198
  76928. },
  76929. {
  76930. "ph": "X",
  76931. "cat": "Op",
  76932. "name": "AssignVariableOp",
  76933. "pid": 31,
  76934. "tid": 0,
  76935. "ts": 1539815917571285,
  76936. "dur": 8,
  76937. "args": {
  76938. "name": "training/TFOptimizer/Adam/update_2_16/AssignVariableOp",
  76939. "op": "AssignVariableOp",
  76940. "input0": "training/TFOptimizer/beta1_power/replica_2",
  76941. "input1": "training/TFOptimizer/Adam/update_2_16/mul"
  76942. }
  76943. },
  76944. {
  76945. "ph": "s",
  76946. "cat": "DataFlow",
  76947. "name": "training/TFOptimizer/Adam/update_2_16/mul",
  76948. "pid": 31,
  76949. "tid": 1,
  76950. "ts": 1539815917571281,
  76951. "id": 199
  76952. },
  76953. {
  76954. "ph": "t",
  76955. "cat": "DataFlow",
  76956. "name": "training/TFOptimizer/Adam/update_2_16/mul",
  76957. "pid": 31,
  76958. "tid": 0,
  76959. "ts": 1539815917571285,
  76960. "id": 199
  76961. },
  76962. {
  76963. "ph": "X",
  76964. "cat": "Op",
  76965. "name": "ReadVariableOp",
  76966. "pid": 31,
  76967. "tid": 0,
  76968. "ts": 1539815917571296,
  76969. "dur": 7,
  76970. "args": {
  76971. "name": "training/TFOptimizer/Adam/update_2_16/ReadVariableOp_1",
  76972. "op": "ReadVariableOp",
  76973. "input0": "training/TFOptimizer/beta1_power/replica_2",
  76974. "input1": "^training/TFOptimizer/Adam/update_2_16/AssignVariableOp"
  76975. }
  76976. },
  76977. {
  76978. "ph": "X",
  76979. "cat": "Op",
  76980. "name": "Identity",
  76981. "pid": 31,
  76982. "tid": 0,
  76983. "ts": 1539815917571305,
  76984. "dur": 9,
  76985. "args": {
  76986. "name": "training/TFOptimizer/Adam/update_0_16/update/_1605",
  76987. "op": "Identity",
  76988. "input0": "training/TFOptimizer/Adam/update_0_16/update/_1604"
  76989. }
  76990. },
  76991. {
  76992. "ph": "X",
  76993. "cat": "Op",
  76994. "name": "NoOp",
  76995. "pid": 31,
  76996. "tid": 1,
  76997. "ts": 1539815917571306,
  76998. "dur": 6,
  76999. "args": {
  77000. "name": "training/TFOptimizer/Adam/update_2_16/update",
  77001. "op": "NoOp",
  77002. "input0": "^training/TFOptimizer/Adam/update_1_16/update/NoOp/_1533",
  77003. "input1": "^training/TFOptimizer/Adam/update_0_16/update/NoOp_1/_1537",
  77004. "input2": "^training/TFOptimizer/Adam/update_2_16/ReadVariableOp_3",
  77005. "input3": "^training/TFOptimizer/Adam/update_0_16/update/NoOp_3/_1541",
  77006. "input4": "^training/TFOptimizer/Adam/update_2_16/ReadVariableOp_1"
  77007. }
  77008. },
  77009. {
  77010. "ph": "X",
  77011. "cat": "Op",
  77012. "name": "Const",
  77013. "pid": 31,
  77014. "tid": 0,
  77015. "ts": 1539815917571324,
  77016. "dur": 6,
  77017. "args": {
  77018. "name": "training/TFOptimizer/Adam/update_2_16/update/_1582",
  77019. "op": "Const",
  77020. "input0": "^training/TFOptimizer/Adam/update_2_16/update"
  77021. }
  77022. },
  77023. {
  77024. "ph": "X",
  77025. "cat": "Op",
  77026. "name": "Const",
  77027. "pid": 31,
  77028. "tid": 0,
  77029. "ts": 1539815917571333,
  77030. "dur": 6,
  77031. "args": {
  77032. "name": "training/TFOptimizer/Adam/update_2_16/update/_1594",
  77033. "op": "Const",
  77034. "input0": "^training/TFOptimizer/Adam/update_2_16/update"
  77035. }
  77036. },
  77037. {
  77038. "ph": "X",
  77039. "cat": "Op",
  77040. "name": "Const",
  77041. "pid": 31,
  77042. "tid": 0,
  77043. "ts": 1539815917571342,
  77044. "dur": 6,
  77045. "args": {
  77046. "name": "training/TFOptimizer/Adam/update_2_16/update/_1622",
  77047. "op": "Const",
  77048. "input0": "^training/TFOptimizer/Adam/update_2_16/update"
  77049. }
  77050. },
  77051. {
  77052. "ph": "X",
  77053. "cat": "Op",
  77054. "name": "Identity",
  77055. "pid": 31,
  77056. "tid": 0,
  77057. "ts": 1539815917571466,
  77058. "dur": 8,
  77059. "args": {
  77060. "name": "training/TFOptimizer/Adam/update_1_16/update/_1609",
  77061. "op": "Identity",
  77062. "input0": "training/TFOptimizer/Adam/update_1_16/update/_1608"
  77063. }
  77064. },
  77065. {
  77066. "ph": "X",
  77067. "cat": "Op",
  77068. "name": "Const",
  77069. "pid": 31,
  77070. "tid": 0,
  77071. "ts": 1539815917571477,
  77072. "dur": 7,
  77073. "args": {
  77074. "name": "training/TFOptimizer/Adam/update_2_17/Const",
  77075. "op": "Const",
  77076. "input0": "^training/TFOptimizer/Adam/update_0_16/update/_1605",
  77077. "input1": "^training/TFOptimizer/Adam/update_1_16/update/_1609",
  77078. "input2": "^training/TFOptimizer/Adam/update_2_16/update",
  77079. "input3": "^training/TFOptimizer/Adam/update_3_16/update/_1613"
  77080. }
  77081. },
  77082. {
  77083. "ph": "X",
  77084. "cat": "Op",
  77085. "name": "AssignAddVariableOp",
  77086. "pid": 31,
  77087. "tid": 0,
  77088. "ts": 1539815917571488,
  77089. "dur": 86,
  77090. "args": {
  77091. "name": "training/TFOptimizer/Adam/update_2_17/AssignAddVariableOp",
  77092. "op": "AssignAddVariableOp",
  77093. "input0": "global_step/replica_2",
  77094. "input1": "training/TFOptimizer/Adam/update_2_17/Const"
  77095. }
  77096. },
  77097. {
  77098. "ph": "X",
  77099. "cat": "Op",
  77100. "name": "ReadVariableOp",
  77101. "pid": 31,
  77102. "tid": 0,
  77103. "ts": 1539815917571578,
  77104. "dur": 10,
  77105. "args": {
  77106. "name": "training/TFOptimizer/Adam/update_2_17/ReadVariableOp",
  77107. "op": "ReadVariableOp",
  77108. "input0": "global_step/replica_2",
  77109. "input1": "^training/TFOptimizer/Adam/update_2_17/AssignAddVariableOp"
  77110. }
  77111. },
  77112. {
  77113. "ph": "X",
  77114. "cat": "Op",
  77115. "name": "Const",
  77116. "pid": 31,
  77117. "tid": 0,
  77118. "ts": 1539815917571591,
  77119. "dur": 5,
  77120. "args": {
  77121. "name": "training/TFOptimizer/Adam/update_2_17/ReadVariableOp/_1630",
  77122. "op": "Const",
  77123. "input0": "^training/TFOptimizer/Adam/update_2_17/ReadVariableOp"
  77124. }
  77125. },
  77126. {
  77127. "ph": "X",
  77128. "cat": "Op",
  77129. "name": "Identity",
  77130. "pid": 31,
  77131. "tid": 0,
  77132. "ts": 1539815917571801,
  77133. "dur": 7,
  77134. "args": {
  77135. "name": "training/TFOptimizer/Adam/group_deps/_1645",
  77136. "op": "Identity",
  77137. "input0": "training/TFOptimizer/Adam/group_deps/_1644"
  77138. }
  77139. },
  77140. {
  77141. "ph": "X",
  77142. "cat": "Op",
  77143. "name": "NoOp",
  77144. "pid": 31,
  77145. "tid": 0,
  77146. "ts": 1539815917571811,
  77147. "dur": 4,
  77148. "args": {
  77149. "name": "tower_2/training/group_deps",
  77150. "op": "NoOp",
  77151. "input0": "^tower_2/batch_normalization_2/AssignMovingAvg/AssignSubVariableOp",
  77152. "input1": "^tower_2/batch_normalization_2/AssignMovingAvg_1/AssignSubVariableOp",
  77153. "input2": "^training/TFOptimizer/Adam/group_deps/_1645",
  77154. "input3": "^tower_2/batch_normalization/AssignMovingAvg/AssignSubVariableOp",
  77155. "input4": "^tower_2/batch_normalization/AssignMovingAvg_1/AssignSubVariableOp",
  77156. "input5": "^tower_2/batch_normalization_1/AssignMovingAvg/AssignSubVariableOp",
  77157. "input6": "^tower_2/batch_normalization_1/AssignMovingAvg_1/AssignSubVariableOp"
  77158. }
  77159. },
  77160. {
  77161. "ph": "X",
  77162. "cat": "Op",
  77163. "name": "Const",
  77164. "pid": 31,
  77165. "tid": 0,
  77166. "ts": 1539815917571820,
  77167. "dur": 5,
  77168. "args": {
  77169. "name": "tower_2/training/group_deps/_1654",
  77170. "op": "Const",
  77171. "input0": "^tower_2/training/group_deps"
  77172. }
  77173. },
  77174. {
  77175. "ph": "X",
  77176. "cat": "Op",
  77177. "name": "unknown",
  77178. "pid": 33,
  77179. "tid": 0,
  77180. "ts": 1539815917561848,
  77181. "dur": 166,
  77182. "args": {
  77183. "name": "unknown",
  77184. "op": "unknown"
  77185. }
  77186. },
  77187. {
  77188. "ph": "X",
  77189. "cat": "Op",
  77190. "name": "MEMCPYDtoH",
  77191. "pid": 35,
  77192. "tid": 0,
  77193. "ts": 1539815912100449,
  77194. "dur": 2,
  77195. "args": {
  77196. "name": "edge_3594_global_step/Read/ReadVariableOp",
  77197. "op": "MEMCPYDtoH"
  77198. }
  77199. },
  77200. {
  77201. "ph": "X",
  77202. "cat": "Op",
  77203. "name": "MEMCPYDtoH",
  77204. "pid": 35,
  77205. "tid": 0,
  77206. "ts": 1539815912100510,
  77207. "dur": 1,
  77208. "args": {
  77209. "name": "edge_3588_Identity_1",
  77210. "op": "MEMCPYDtoH"
  77211. }
  77212. },
  77213. {
  77214. "ph": "X",
  77215. "cat": "Op",
  77216. "name": "MEMCPYDtoH",
  77217. "pid": 35,
  77218. "tid": 0,
  77219. "ts": 1539815916982278,
  77220. "dur": 3,
  77221. "args": {
  77222. "name": "edge_1016_loss/activation_1_loss/Mean",
  77223. "op": "MEMCPYDtoH"
  77224. }
  77225. },
  77226. {
  77227. "ph": "X",
  77228. "cat": "Op",
  77229. "name": "MEMCPYDtoH",
  77230. "pid": 37,
  77231. "tid": 0,
  77232. "ts": 1539815916982303,
  77233. "dur": 3,
  77234. "args": {
  77235. "name": "edge_1018_tower_2/loss/activation_1_loss/Mean",
  77236. "op": "MEMCPYDtoH"
  77237. }
  77238. },
  77239. {
  77240. "ph": "X",
  77241. "cat": "Op",
  77242. "name": "NoOp",
  77243. "pid": 39,
  77244. "tid": 0,
  77245. "ts": 1539815912098269,
  77246. "dur": 28,
  77247. "args": {
  77248. "name": "_SOURCE",
  77249. "op": "NoOp"
  77250. }
  77251. },
  77252. {
  77253. "ph": "X",
  77254. "cat": "Op",
  77255. "name": "VarHandleOp",
  77256. "pid": 39,
  77257. "tid": 0,
  77258. "ts": 1539815912098415,
  77259. "dur": 12,
  77260. "args": {
  77261. "name": "batch_normalization/moving_variance/replica_1",
  77262. "op": "VarHandleOp"
  77263. }
  77264. },
  77265. {
  77266. "ph": "X",
  77267. "cat": "Op",
  77268. "name": "VarHandleOp",
  77269. "pid": 39,
  77270. "tid": 0,
  77271. "ts": 1539815912098432,
  77272. "dur": 9,
  77273. "args": {
  77274. "name": "batch_normalization_1/moving_mean/replica_1",
  77275. "op": "VarHandleOp"
  77276. }
  77277. },
  77278. {
  77279. "ph": "X",
  77280. "cat": "Op",
  77281. "name": "VarHandleOp",
  77282. "pid": 39,
  77283. "tid": 0,
  77284. "ts": 1539815912098445,
  77285. "dur": 9,
  77286. "args": {
  77287. "name": "batch_normalization_1/moving_variance/replica_1",
  77288. "op": "VarHandleOp"
  77289. }
  77290. },
  77291. {
  77292. "ph": "X",
  77293. "cat": "Op",
  77294. "name": "VarHandleOp",
  77295. "pid": 39,
  77296. "tid": 0,
  77297. "ts": 1539815912098486,
  77298. "dur": 7,
  77299. "args": {
  77300. "name": "batch_normalization_2/moving_mean/replica_1",
  77301. "op": "VarHandleOp"
  77302. }
  77303. },
  77304. {
  77305. "ph": "X",
  77306. "cat": "Op",
  77307. "name": "VarHandleOp",
  77308. "pid": 39,
  77309. "tid": 0,
  77310. "ts": 1539815912098496,
  77311. "dur": 5,
  77312. "args": {
  77313. "name": "batch_normalization_2/moving_variance/replica_1",
  77314. "op": "VarHandleOp"
  77315. }
  77316. },
  77317. {
  77318. "ph": "X",
  77319. "cat": "Op",
  77320. "name": "Const",
  77321. "pid": 39,
  77322. "tid": 0,
  77323. "ts": 1539815912098504,
  77324. "dur": 6,
  77325. "args": {
  77326. "name": "tower_1/metrics/sparse_categorical_accuracy/Max/reduction_indices",
  77327. "op": "Const"
  77328. }
  77329. },
  77330. {
  77331. "ph": "X",
  77332. "cat": "Op",
  77333. "name": "Const",
  77334. "pid": 39,
  77335. "tid": 0,
  77336. "ts": 1539815912098512,
  77337. "dur": 6,
  77338. "args": {
  77339. "name": "tower_1/metrics/sparse_categorical_accuracy/Const",
  77340. "op": "Const"
  77341. }
  77342. },
  77343. {
  77344. "ph": "X",
  77345. "cat": "Op",
  77346. "name": "VarHandleOp",
  77347. "pid": 39,
  77348. "tid": 0,
  77349. "ts": 1539815912098520,
  77350. "dur": 5,
  77351. "args": {
  77352. "name": "global_step/replica_1",
  77353. "op": "VarHandleOp"
  77354. }
  77355. },
  77356. {
  77357. "ph": "X",
  77358. "cat": "Op",
  77359. "name": "VarHandleOp",
  77360. "pid": 39,
  77361. "tid": 0,
  77362. "ts": 1539815912098527,
  77363. "dur": 5,
  77364. "args": {
  77365. "name": "batch_normalization/gamma/Adam/replica_1",
  77366. "op": "VarHandleOp"
  77367. }
  77368. },
  77369. {
  77370. "ph": "X",
  77371. "cat": "Op",
  77372. "name": "VarHandleOp",
  77373. "pid": 39,
  77374. "tid": 0,
  77375. "ts": 1539815912098534,
  77376. "dur": 5,
  77377. "args": {
  77378. "name": "batch_normalization/gamma/Adam_1/replica_1",
  77379. "op": "VarHandleOp"
  77380. }
  77381. },
  77382. {
  77383. "ph": "X",
  77384. "cat": "Op",
  77385. "name": "VarHandleOp",
  77386. "pid": 39,
  77387. "tid": 0,
  77388. "ts": 1539815912098540,
  77389. "dur": 5,
  77390. "args": {
  77391. "name": "batch_normalization/beta/Adam/replica_1",
  77392. "op": "VarHandleOp"
  77393. }
  77394. },
  77395. {
  77396. "ph": "X",
  77397. "cat": "Op",
  77398. "name": "VarHandleOp",
  77399. "pid": 39,
  77400. "tid": 0,
  77401. "ts": 1539815912098546,
  77402. "dur": 10,
  77403. "args": {
  77404. "name": "batch_normalization/beta/Adam_1/replica_1",
  77405. "op": "VarHandleOp"
  77406. }
  77407. },
  77408. {
  77409. "ph": "X",
  77410. "cat": "Op",
  77411. "name": "VarHandleOp",
  77412. "pid": 39,
  77413. "tid": 0,
  77414. "ts": 1539815912098558,
  77415. "dur": 4,
  77416. "args": {
  77417. "name": "conv2d_2/kernel/Adam/replica_1",
  77418. "op": "VarHandleOp"
  77419. }
  77420. },
  77421. {
  77422. "ph": "X",
  77423. "cat": "Op",
  77424. "name": "VarHandleOp",
  77425. "pid": 39,
  77426. "tid": 0,
  77427. "ts": 1539815912098564,
  77428. "dur": 4,
  77429. "args": {
  77430. "name": "conv2d_2/kernel/Adam_1/replica_1",
  77431. "op": "VarHandleOp"
  77432. }
  77433. },
  77434. {
  77435. "ph": "X",
  77436. "cat": "Op",
  77437. "name": "Const",
  77438. "pid": 39,
  77439. "tid": 0,
  77440. "ts": 1539815912098570,
  77441. "dur": 7,
  77442. "args": {
  77443. "name": "training/TFOptimizer/Shape_26",
  77444. "op": "Const"
  77445. }
  77446. },
  77447. {
  77448. "ph": "X",
  77449. "cat": "Op",
  77450. "name": "VarHandleOp",
  77451. "pid": 39,
  77452. "tid": 0,
  77453. "ts": 1539815912098579,
  77454. "dur": 5,
  77455. "args": {
  77456. "name": "conv2d_2/bias/Adam/replica_1",
  77457. "op": "VarHandleOp"
  77458. }
  77459. },
  77460. {
  77461. "ph": "X",
  77462. "cat": "Op",
  77463. "name": "VarHandleOp",
  77464. "pid": 39,
  77465. "tid": 0,
  77466. "ts": 1539815912098586,
  77467. "dur": 4,
  77468. "args": {
  77469. "name": "conv2d_2/bias/Adam_1/replica_1",
  77470. "op": "VarHandleOp"
  77471. }
  77472. },
  77473. {
  77474. "ph": "X",
  77475. "cat": "Op",
  77476. "name": "VarHandleOp",
  77477. "pid": 39,
  77478. "tid": 0,
  77479. "ts": 1539815912098592,
  77480. "dur": 6,
  77481. "args": {
  77482. "name": "dense/kernel/Adam/replica_1",
  77483. "op": "VarHandleOp"
  77484. }
  77485. },
  77486. {
  77487. "ph": "X",
  77488. "cat": "Op",
  77489. "name": "VarHandleOp",
  77490. "pid": 39,
  77491. "tid": 0,
  77492. "ts": 1539815912098600,
  77493. "dur": 6,
  77494. "args": {
  77495. "name": "dense/kernel/Adam_1/replica_1",
  77496. "op": "VarHandleOp"
  77497. }
  77498. },
  77499. {
  77500. "ph": "X",
  77501. "cat": "Op",
  77502. "name": "Const",
  77503. "pid": 39,
  77504. "tid": 0,
  77505. "ts": 1539815912098608,
  77506. "dur": 5,
  77507. "args": {
  77508. "name": "training/TFOptimizer/Shape_28",
  77509. "op": "Const"
  77510. }
  77511. },
  77512. {
  77513. "ph": "X",
  77514. "cat": "Op",
  77515. "name": "VarHandleOp",
  77516. "pid": 39,
  77517. "tid": 0,
  77518. "ts": 1539815912098615,
  77519. "dur": 6,
  77520. "args": {
  77521. "name": "dense/bias/Adam/replica_1",
  77522. "op": "VarHandleOp"
  77523. }
  77524. },
  77525. {
  77526. "ph": "X",
  77527. "cat": "Op",
  77528. "name": "VarHandleOp",
  77529. "pid": 39,
  77530. "tid": 0,
  77531. "ts": 1539815912098623,
  77532. "dur": 4,
  77533. "args": {
  77534. "name": "dense/bias/Adam_1/replica_1",
  77535. "op": "VarHandleOp"
  77536. }
  77537. },
  77538. {
  77539. "ph": "X",
  77540. "cat": "Op",
  77541. "name": "VarHandleOp",
  77542. "pid": 39,
  77543. "tid": 0,
  77544. "ts": 1539815912098629,
  77545. "dur": 4,
  77546. "args": {
  77547. "name": "dense_1/kernel/Adam/replica_1",
  77548. "op": "VarHandleOp"
  77549. }
  77550. },
  77551. {
  77552. "ph": "X",
  77553. "cat": "Op",
  77554. "name": "VarHandleOp",
  77555. "pid": 39,
  77556. "tid": 0,
  77557. "ts": 1539815912098635,
  77558. "dur": 6,
  77559. "args": {
  77560. "name": "dense_1/kernel/Adam_1/replica_1",
  77561. "op": "VarHandleOp"
  77562. }
  77563. },
  77564. {
  77565. "ph": "X",
  77566. "cat": "Op",
  77567. "name": "Const",
  77568. "pid": 39,
  77569. "tid": 0,
  77570. "ts": 1539815912098643,
  77571. "dur": 4,
  77572. "args": {
  77573. "name": "training/TFOptimizer/Shape_30",
  77574. "op": "Const"
  77575. }
  77576. },
  77577. {
  77578. "ph": "X",
  77579. "cat": "Op",
  77580. "name": "VarHandleOp",
  77581. "pid": 39,
  77582. "tid": 0,
  77583. "ts": 1539815912098649,
  77584. "dur": 4,
  77585. "args": {
  77586. "name": "dense_1/bias/Adam/replica_1",
  77587. "op": "VarHandleOp"
  77588. }
  77589. },
  77590. {
  77591. "ph": "X",
  77592. "cat": "Op",
  77593. "name": "VarHandleOp",
  77594. "pid": 39,
  77595. "tid": 0,
  77596. "ts": 1539815912098655,
  77597. "dur": 6,
  77598. "args": {
  77599. "name": "dense_1/bias/Adam_1/replica_1",
  77600. "op": "VarHandleOp"
  77601. }
  77602. },
  77603. {
  77604. "ph": "X",
  77605. "cat": "Op",
  77606. "name": "VarHandleOp",
  77607. "pid": 39,
  77608. "tid": 0,
  77609. "ts": 1539815912098663,
  77610. "dur": 4,
  77611. "args": {
  77612. "name": "conv2d/kernel/Adam/replica_1",
  77613. "op": "VarHandleOp"
  77614. }
  77615. },
  77616. {
  77617. "ph": "X",
  77618. "cat": "Op",
  77619. "name": "VarHandleOp",
  77620. "pid": 39,
  77621. "tid": 0,
  77622. "ts": 1539815912098669,
  77623. "dur": 4,
  77624. "args": {
  77625. "name": "conv2d/kernel/Adam_1/replica_1",
  77626. "op": "VarHandleOp"
  77627. }
  77628. },
  77629. {
  77630. "ph": "X",
  77631. "cat": "Op",
  77632. "name": "Const",
  77633. "pid": 39,
  77634. "tid": 0,
  77635. "ts": 1539815912098674,
  77636. "dur": 7,
  77637. "args": {
  77638. "name": "training/TFOptimizer/Shape_18",
  77639. "op": "Const"
  77640. }
  77641. },
  77642. {
  77643. "ph": "X",
  77644. "cat": "Op",
  77645. "name": "VarHandleOp",
  77646. "pid": 39,
  77647. "tid": 0,
  77648. "ts": 1539815912098683,
  77649. "dur": 4,
  77650. "args": {
  77651. "name": "conv2d/bias/Adam/replica_1",
  77652. "op": "VarHandleOp"
  77653. }
  77654. },
  77655. {
  77656. "ph": "X",
  77657. "cat": "Op",
  77658. "name": "VarHandleOp",
  77659. "pid": 39,
  77660. "tid": 0,
  77661. "ts": 1539815912098689,
  77662. "dur": 4,
  77663. "args": {
  77664. "name": "conv2d/bias/Adam_1/replica_1",
  77665. "op": "VarHandleOp"
  77666. }
  77667. },
  77668. {
  77669. "ph": "X",
  77670. "cat": "Op",
  77671. "name": "VarHandleOp",
  77672. "pid": 39,
  77673. "tid": 0,
  77674. "ts": 1539815912098695,
  77675. "dur": 6,
  77676. "args": {
  77677. "name": "batch_normalization_1/gamma/Adam/replica_1",
  77678. "op": "VarHandleOp"
  77679. }
  77680. },
  77681. {
  77682. "ph": "X",
  77683. "cat": "Op",
  77684. "name": "VarHandleOp",
  77685. "pid": 39,
  77686. "tid": 0,
  77687. "ts": 1539815912098735,
  77688. "dur": 9,
  77689. "args": {
  77690. "name": "batch_normalization_1/gamma/Adam_1/replica_1",
  77691. "op": "VarHandleOp"
  77692. }
  77693. },
  77694. {
  77695. "ph": "X",
  77696. "cat": "Op",
  77697. "name": "VarHandleOp",
  77698. "pid": 39,
  77699. "tid": 0,
  77700. "ts": 1539815912098746,
  77701. "dur": 6,
  77702. "args": {
  77703. "name": "batch_normalization_1/beta/Adam/replica_1",
  77704. "op": "VarHandleOp"
  77705. }
  77706. },
  77707. {
  77708. "ph": "X",
  77709. "cat": "Op",
  77710. "name": "VarHandleOp",
  77711. "pid": 39,
  77712. "tid": 0,
  77713. "ts": 1539815912098755,
  77714. "dur": 6,
  77715. "args": {
  77716. "name": "batch_normalization_1/beta/Adam_1/replica_1",
  77717. "op": "VarHandleOp"
  77718. }
  77719. },
  77720. {
  77721. "ph": "X",
  77722. "cat": "Op",
  77723. "name": "VarHandleOp",
  77724. "pid": 39,
  77725. "tid": 0,
  77726. "ts": 1539815912098773,
  77727. "dur": 6,
  77728. "args": {
  77729. "name": "conv2d_1/kernel/Adam/replica_1",
  77730. "op": "VarHandleOp"
  77731. }
  77732. },
  77733. {
  77734. "ph": "X",
  77735. "cat": "Op",
  77736. "name": "VarHandleOp",
  77737. "pid": 39,
  77738. "tid": 0,
  77739. "ts": 1539815912098781,
  77740. "dur": 5,
  77741. "args": {
  77742. "name": "conv2d_1/kernel/Adam_1/replica_1",
  77743. "op": "VarHandleOp"
  77744. }
  77745. },
  77746. {
  77747. "ph": "X",
  77748. "cat": "Op",
  77749. "name": "Const",
  77750. "pid": 39,
  77751. "tid": 0,
  77752. "ts": 1539815912098787,
  77753. "dur": 8,
  77754. "args": {
  77755. "name": "training/TFOptimizer/Shape_22",
  77756. "op": "Const"
  77757. }
  77758. },
  77759. {
  77760. "ph": "X",
  77761. "cat": "Op",
  77762. "name": "VarHandleOp",
  77763. "pid": 39,
  77764. "tid": 0,
  77765. "ts": 1539815912098796,
  77766. "dur": 5,
  77767. "args": {
  77768. "name": "conv2d_1/bias/Adam/replica_1",
  77769. "op": "VarHandleOp"
  77770. }
  77771. },
  77772. {
  77773. "ph": "X",
  77774. "cat": "Op",
  77775. "name": "VarHandleOp",
  77776. "pid": 39,
  77777. "tid": 0,
  77778. "ts": 1539815912098802,
  77779. "dur": 4,
  77780. "args": {
  77781. "name": "conv2d_1/bias/Adam_1/replica_1",
  77782. "op": "VarHandleOp"
  77783. }
  77784. },
  77785. {
  77786. "ph": "X",
  77787. "cat": "Op",
  77788. "name": "VarHandleOp",
  77789. "pid": 39,
  77790. "tid": 0,
  77791. "ts": 1539815912098809,
  77792. "dur": 4,
  77793. "args": {
  77794. "name": "batch_normalization_2/gamma/Adam/replica_1",
  77795. "op": "VarHandleOp"
  77796. }
  77797. },
  77798. {
  77799. "ph": "X",
  77800. "cat": "Op",
  77801. "name": "VarHandleOp",
  77802. "pid": 39,
  77803. "tid": 0,
  77804. "ts": 1539815912098828,
  77805. "dur": 4,
  77806. "args": {
  77807. "name": "batch_normalization_2/gamma/Adam_1/replica_1",
  77808. "op": "VarHandleOp"
  77809. }
  77810. },
  77811. {
  77812. "ph": "X",
  77813. "cat": "Op",
  77814. "name": "VarHandleOp",
  77815. "pid": 39,
  77816. "tid": 0,
  77817. "ts": 1539815912098834,
  77818. "dur": 4,
  77819. "args": {
  77820. "name": "batch_normalization_2/beta/Adam/replica_1",
  77821. "op": "VarHandleOp"
  77822. }
  77823. },
  77824. {
  77825. "ph": "X",
  77826. "cat": "Op",
  77827. "name": "VarHandleOp",
  77828. "pid": 39,
  77829. "tid": 0,
  77830. "ts": 1539815912098840,
  77831. "dur": 4,
  77832. "args": {
  77833. "name": "batch_normalization_2/beta/Adam_1/replica_1",
  77834. "op": "VarHandleOp"
  77835. }
  77836. },
  77837. {
  77838. "ph": "X",
  77839. "cat": "Op",
  77840. "name": "VarHandleOp",
  77841. "pid": 39,
  77842. "tid": 0,
  77843. "ts": 1539815912098848,
  77844. "dur": 5,
  77845. "args": {
  77846. "name": "training/TFOptimizer/beta1_power/replica_1",
  77847. "op": "VarHandleOp"
  77848. }
  77849. },
  77850. {
  77851. "ph": "X",
  77852. "cat": "Op",
  77853. "name": "VarHandleOp",
  77854. "pid": 39,
  77855. "tid": 0,
  77856. "ts": 1539815912098856,
  77857. "dur": 5,
  77858. "args": {
  77859. "name": "training/TFOptimizer/beta2_power/replica_1",
  77860. "op": "VarHandleOp"
  77861. }
  77862. },
  77863. {
  77864. "ph": "X",
  77865. "cat": "Op",
  77866. "name": "Const",
  77867. "pid": 39,
  77868. "tid": 0,
  77869. "ts": 1539815912098863,
  77870. "dur": 6,
  77871. "args": {
  77872. "name": "training/TFOptimizer/Reshape_16/shape",
  77873. "op": "Const"
  77874. }
  77875. },
  77876. {
  77877. "ph": "X",
  77878. "cat": "Op",
  77879. "name": "Const",
  77880. "pid": 39,
  77881. "tid": 0,
  77882. "ts": 1539815912098873,
  77883. "dur": 6,
  77884. "args": {
  77885. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout/dropout/div_grad/Shape_1",
  77886. "op": "Const"
  77887. }
  77888. },
  77889. {
  77890. "ph": "X",
  77891. "cat": "Op",
  77892. "name": "Const",
  77893. "pid": 39,
  77894. "tid": 0,
  77895. "ts": 1539815912098880,
  77896. "dur": 8,
  77897. "args": {
  77898. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value/Minimum_grad/zeros/Const",
  77899. "op": "Const"
  77900. }
  77901. },
  77902. {
  77903. "ph": "X",
  77904. "cat": "Op",
  77905. "name": "Const",
  77906. "pid": 39,
  77907. "tid": 0,
  77908. "ts": 1539815912098889,
  77909. "dur": 5,
  77910. "args": {
  77911. "name": "tower_1/loss/activation_1_loss/Reshape/shape",
  77912. "op": "Const"
  77913. }
  77914. },
  77915. {
  77916. "ph": "X",
  77917. "cat": "Op",
  77918. "name": "Const",
  77919. "pid": 39,
  77920. "tid": 0,
  77921. "ts": 1539815912098896,
  77922. "dur": 7,
  77923. "args": {
  77924. "name": "tower_1/loss/activation_1_loss/Const",
  77925. "op": "Const"
  77926. }
  77927. },
  77928. {
  77929. "ph": "X",
  77930. "cat": "Op",
  77931. "name": "Const",
  77932. "pid": 39,
  77933. "tid": 0,
  77934. "ts": 1539815912098904,
  77935. "dur": 6,
  77936. "args": {
  77937. "name": "tower_1/loss/activation_1_loss/sub",
  77938. "op": "Const"
  77939. }
  77940. },
  77941. {
  77942. "ph": "X",
  77943. "cat": "Op",
  77944. "name": "Const",
  77945. "pid": 39,
  77946. "tid": 0,
  77947. "ts": 1539815912098911,
  77948. "dur": 5,
  77949. "args": {
  77950. "name": "tower_1/dropout_3/dropout/keep_prob",
  77951. "op": "Const"
  77952. }
  77953. },
  77954. {
  77955. "ph": "X",
  77956. "cat": "Op",
  77957. "name": "Const",
  77958. "pid": 39,
  77959. "tid": 0,
  77960. "ts": 1539815912098918,
  77961. "dur": 7,
  77962. "args": {
  77963. "name": "tower_1/dropout_2/dropout/keep_prob",
  77964. "op": "Const"
  77965. }
  77966. },
  77967. {
  77968. "ph": "X",
  77969. "cat": "Op",
  77970. "name": "VarHandleOp",
  77971. "pid": 39,
  77972. "tid": 0,
  77973. "ts": 1539815912098926,
  77974. "dur": 5,
  77975. "args": {
  77976. "name": "batch_normalization/gamma/replica_1",
  77977. "op": "VarHandleOp"
  77978. }
  77979. },
  77980. {
  77981. "ph": "X",
  77982. "cat": "Op",
  77983. "name": "VarHandleOp",
  77984. "pid": 39,
  77985. "tid": 0,
  77986. "ts": 1539815912098933,
  77987. "dur": 5,
  77988. "args": {
  77989. "name": "batch_normalization/beta/replica_1",
  77990. "op": "VarHandleOp"
  77991. }
  77992. },
  77993. {
  77994. "ph": "X",
  77995. "cat": "Op",
  77996. "name": "Const",
  77997. "pid": 39,
  77998. "tid": 0,
  77999. "ts": 1539815912098940,
  78000. "dur": 7,
  78001. "args": {
  78002. "name": "tower_1/batch_normalization/Const",
  78003. "op": "Const"
  78004. }
  78005. },
  78006. {
  78007. "ph": "X",
  78008. "cat": "Op",
  78009. "name": "VarHandleOp",
  78010. "pid": 39,
  78011. "tid": 0,
  78012. "ts": 1539815912098948,
  78013. "dur": 5,
  78014. "args": {
  78015. "name": "conv2d/kernel/replica_1",
  78016. "op": "VarHandleOp"
  78017. }
  78018. },
  78019. {
  78020. "ph": "X",
  78021. "cat": "Op",
  78022. "name": "VarHandleOp",
  78023. "pid": 39,
  78024. "tid": 0,
  78025. "ts": 1539815912098955,
  78026. "dur": 4,
  78027. "args": {
  78028. "name": "conv2d/bias/replica_1",
  78029. "op": "VarHandleOp"
  78030. }
  78031. },
  78032. {
  78033. "ph": "X",
  78034. "cat": "Op",
  78035. "name": "VarHandleOp",
  78036. "pid": 39,
  78037. "tid": 0,
  78038. "ts": 1539815912098961,
  78039. "dur": 7,
  78040. "args": {
  78041. "name": "batch_normalization_1/gamma/replica_1",
  78042. "op": "VarHandleOp"
  78043. }
  78044. },
  78045. {
  78046. "ph": "X",
  78047. "cat": "Op",
  78048. "name": "VarHandleOp",
  78049. "pid": 39,
  78050. "tid": 0,
  78051. "ts": 1539815912098970,
  78052. "dur": 4,
  78053. "args": {
  78054. "name": "batch_normalization_1/beta/replica_1",
  78055. "op": "VarHandleOp"
  78056. }
  78057. },
  78058. {
  78059. "ph": "X",
  78060. "cat": "Op",
  78061. "name": "VarHandleOp",
  78062. "pid": 39,
  78063. "tid": 0,
  78064. "ts": 1539815912098976,
  78065. "dur": 5,
  78066. "args": {
  78067. "name": "conv2d_1/kernel/replica_1",
  78068. "op": "VarHandleOp"
  78069. }
  78070. },
  78071. {
  78072. "ph": "X",
  78073. "cat": "Op",
  78074. "name": "VarHandleOp",
  78075. "pid": 39,
  78076. "tid": 0,
  78077. "ts": 1539815912098983,
  78078. "dur": 6,
  78079. "args": {
  78080. "name": "conv2d_1/bias/replica_1",
  78081. "op": "VarHandleOp"
  78082. }
  78083. },
  78084. {
  78085. "ph": "X",
  78086. "cat": "Op",
  78087. "name": "VarHandleOp",
  78088. "pid": 39,
  78089. "tid": 0,
  78090. "ts": 1539815912098991,
  78091. "dur": 5,
  78092. "args": {
  78093. "name": "batch_normalization_2/gamma/replica_1",
  78094. "op": "VarHandleOp"
  78095. }
  78096. },
  78097. {
  78098. "ph": "X",
  78099. "cat": "Op",
  78100. "name": "VarHandleOp",
  78101. "pid": 39,
  78102. "tid": 0,
  78103. "ts": 1539815912098998,
  78104. "dur": 4,
  78105. "args": {
  78106. "name": "batch_normalization_2/beta/replica_1",
  78107. "op": "VarHandleOp"
  78108. }
  78109. },
  78110. {
  78111. "ph": "X",
  78112. "cat": "Op",
  78113. "name": "VarHandleOp",
  78114. "pid": 39,
  78115. "tid": 0,
  78116. "ts": 1539815912099005,
  78117. "dur": 6,
  78118. "args": {
  78119. "name": "conv2d_2/kernel/replica_1",
  78120. "op": "VarHandleOp"
  78121. }
  78122. },
  78123. {
  78124. "ph": "X",
  78125. "cat": "Op",
  78126. "name": "VarHandleOp",
  78127. "pid": 39,
  78128. "tid": 0,
  78129. "ts": 1539815912099013,
  78130. "dur": 4,
  78131. "args": {
  78132. "name": "conv2d_2/bias/replica_1",
  78133. "op": "VarHandleOp"
  78134. }
  78135. },
  78136. {
  78137. "ph": "X",
  78138. "cat": "Op",
  78139. "name": "Const",
  78140. "pid": 39,
  78141. "tid": 0,
  78142. "ts": 1539815912099031,
  78143. "dur": 7,
  78144. "args": {
  78145. "name": "ConstantFolding/tower_1/training/TFOptimizer/gradients/tower_1/dropout/dropout/div_grad/RealDiv_recip",
  78146. "op": "Const"
  78147. }
  78148. },
  78149. {
  78150. "ph": "X",
  78151. "cat": "Op",
  78152. "name": "Const",
  78153. "pid": 39,
  78154. "tid": 0,
  78155. "ts": 1539815912099039,
  78156. "dur": 8,
  78157. "args": {
  78158. "name": "tower_1/flatten/strided_slice/stack_1",
  78159. "op": "Const"
  78160. }
  78161. },
  78162. {
  78163. "ph": "X",
  78164. "cat": "Op",
  78165. "name": "VarHandleOp",
  78166. "pid": 39,
  78167. "tid": 0,
  78168. "ts": 1539815912099049,
  78169. "dur": 4,
  78170. "args": {
  78171. "name": "dense/kernel/replica_1",
  78172. "op": "VarHandleOp"
  78173. }
  78174. },
  78175. {
  78176. "ph": "X",
  78177. "cat": "Op",
  78178. "name": "VarHandleOp",
  78179. "pid": 39,
  78180. "tid": 0,
  78181. "ts": 1539815912099055,
  78182. "dur": 5,
  78183. "args": {
  78184. "name": "dense/bias/replica_1",
  78185. "op": "VarHandleOp"
  78186. }
  78187. },
  78188. {
  78189. "ph": "X",
  78190. "cat": "Op",
  78191. "name": "VarHandleOp",
  78192. "pid": 39,
  78193. "tid": 0,
  78194. "ts": 1539815912099062,
  78195. "dur": 6,
  78196. "args": {
  78197. "name": "dense_1/kernel/replica_1",
  78198. "op": "VarHandleOp"
  78199. }
  78200. },
  78201. {
  78202. "ph": "X",
  78203. "cat": "Op",
  78204. "name": "VarHandleOp",
  78205. "pid": 39,
  78206. "tid": 0,
  78207. "ts": 1539815912099070,
  78208. "dur": 5,
  78209. "args": {
  78210. "name": "dense_1/bias/replica_1",
  78211. "op": "VarHandleOp"
  78212. }
  78213. },
  78214. {
  78215. "ph": "X",
  78216. "cat": "Op",
  78217. "name": "Const",
  78218. "pid": 39,
  78219. "tid": 0,
  78220. "ts": 1539815912099077,
  78221. "dur": 4,
  78222. "args": {
  78223. "name": "training/TFOptimizer/concat_1/axis",
  78224. "op": "Const"
  78225. }
  78226. },
  78227. {
  78228. "ph": "X",
  78229. "cat": "Op",
  78230. "name": "Const",
  78231. "pid": 39,
  78232. "tid": 0,
  78233. "ts": 1539815912099083,
  78234. "dur": 7,
  78235. "args": {
  78236. "name": "training/TFOptimizer/packed_1",
  78237. "op": "Const"
  78238. }
  78239. },
  78240. {
  78241. "ph": "X",
  78242. "cat": "Op",
  78243. "name": "Const",
  78244. "pid": 39,
  78245. "tid": 0,
  78246. "ts": 1539815912099092,
  78247. "dur": 4,
  78248. "args": {
  78249. "name": "training/TFOptimizer/split_5/split_dim",
  78250. "op": "Const"
  78251. }
  78252. },
  78253. {
  78254. "ph": "X",
  78255. "cat": "Op",
  78256. "name": "Const",
  78257. "pid": 39,
  78258. "tid": 0,
  78259. "ts": 1539815912099097,
  78260. "dur": 6,
  78261. "args": {
  78262. "name": "ConstantFolding/tower_1/training/TFOptimizer/gradients/tower_1/dropout_3/dropout/div_grad/RealDiv_recip",
  78263. "op": "Const"
  78264. }
  78265. },
  78266. {
  78267. "ph": "X",
  78268. "cat": "Op",
  78269. "name": "VarHandleOp",
  78270. "pid": 39,
  78271. "tid": 0,
  78272. "ts": 1539815912099104,
  78273. "dur": 8,
  78274. "args": {
  78275. "name": "batch_normalization/moving_mean/replica_1",
  78276. "op": "VarHandleOp"
  78277. }
  78278. },
  78279. {
  78280. "ph": "X",
  78281. "cat": "Op",
  78282. "name": "Const",
  78283. "pid": 39,
  78284. "tid": 0,
  78285. "ts": 1539815912099114,
  78286. "dur": 5,
  78287. "args": {
  78288. "name": "tower_1/batch_normalization/AssignMovingAvg/sub",
  78289. "op": "Const"
  78290. }
  78291. },
  78292. {
  78293. "ph": "X",
  78294. "cat": "Op",
  78295. "name": "ReadVariableOp",
  78296. "pid": 39,
  78297. "tid": 0,
  78298. "ts": 1539815912099121,
  78299. "dur": 10,
  78300. "args": {
  78301. "name": "tower_1/batch_normalization/AssignMovingAvg_1/ReadVariableOp",
  78302. "op": "ReadVariableOp",
  78303. "input0": "batch_normalization/moving_variance/replica_1"
  78304. }
  78305. },
  78306. {
  78307. "ph": "X",
  78308. "cat": "Op",
  78309. "name": "ReadVariableOp",
  78310. "pid": 39,
  78311. "tid": 0,
  78312. "ts": 1539815912099136,
  78313. "dur": 6,
  78314. "args": {
  78315. "name": "tower_1/batch_normalization_1/AssignMovingAvg/ReadVariableOp",
  78316. "op": "ReadVariableOp",
  78317. "input0": "batch_normalization_1/moving_mean/replica_1"
  78318. }
  78319. },
  78320. {
  78321. "ph": "X",
  78322. "cat": "Op",
  78323. "name": "ReadVariableOp",
  78324. "pid": 39,
  78325. "tid": 0,
  78326. "ts": 1539815912099144,
  78327. "dur": 5,
  78328. "args": {
  78329. "name": "tower_1/batch_normalization_1/AssignMovingAvg_1/ReadVariableOp",
  78330. "op": "ReadVariableOp",
  78331. "input0": "batch_normalization_1/moving_variance/replica_1"
  78332. }
  78333. },
  78334. {
  78335. "ph": "X",
  78336. "cat": "Op",
  78337. "name": "ReadVariableOp",
  78338. "pid": 39,
  78339. "tid": 0,
  78340. "ts": 1539815912099161,
  78341. "dur": 6,
  78342. "args": {
  78343. "name": "tower_1/batch_normalization_2/AssignMovingAvg/ReadVariableOp",
  78344. "op": "ReadVariableOp",
  78345. "input0": "batch_normalization_2/moving_mean/replica_1"
  78346. }
  78347. },
  78348. {
  78349. "ph": "X",
  78350. "cat": "Op",
  78351. "name": "ReadVariableOp",
  78352. "pid": 39,
  78353. "tid": 0,
  78354. "ts": 1539815912099172,
  78355. "dur": 6,
  78356. "args": {
  78357. "name": "tower_1/batch_normalization_2/AssignMovingAvg_1/ReadVariableOp",
  78358. "op": "ReadVariableOp",
  78359. "input0": "batch_normalization_2/moving_variance/replica_1"
  78360. }
  78361. },
  78362. {
  78363. "ph": "X",
  78364. "cat": "Op",
  78365. "name": "ReadVariableOp",
  78366. "pid": 39,
  78367. "tid": 0,
  78368. "ts": 1539815912099180,
  78369. "dur": 6,
  78370. "args": {
  78371. "name": "training/TFOptimizer/Adam/update_1/update_batch_normalization/gamma/replica_1/ResourceApplyAdam/ReadVariableOp",
  78372. "op": "ReadVariableOp",
  78373. "input0": "training/TFOptimizer/beta1_power/replica_1"
  78374. }
  78375. },
  78376. {
  78377. "ph": "X",
  78378. "cat": "Op",
  78379. "name": "ReadVariableOp",
  78380. "pid": 39,
  78381. "tid": 0,
  78382. "ts": 1539815912099188,
  78383. "dur": 7,
  78384. "args": {
  78385. "name": "training/TFOptimizer/Adam/update_1_1/update_batch_normalization/beta/replica_1/ResourceApplyAdam/ReadVariableOp",
  78386. "op": "ReadVariableOp",
  78387. "input0": "training/TFOptimizer/beta1_power/replica_1"
  78388. }
  78389. },
  78390. {
  78391. "ph": "X",
  78392. "cat": "Op",
  78393. "name": "ReadVariableOp",
  78394. "pid": 39,
  78395. "tid": 0,
  78396. "ts": 1539815912099197,
  78397. "dur": 5,
  78398. "args": {
  78399. "name": "training/TFOptimizer/Adam/update_1_10/update_conv2d_2/kernel/replica_1/ResourceApplyAdam/ReadVariableOp",
  78400. "op": "ReadVariableOp",
  78401. "input0": "training/TFOptimizer/beta1_power/replica_1"
  78402. }
  78403. },
  78404. {
  78405. "ph": "X",
  78406. "cat": "Op",
  78407. "name": "ReadVariableOp",
  78408. "pid": 39,
  78409. "tid": 0,
  78410. "ts": 1539815912099203,
  78411. "dur": 5,
  78412. "args": {
  78413. "name": "training/TFOptimizer/Adam/update_1_11/update_conv2d_2/bias/replica_1/ResourceApplyAdam/ReadVariableOp",
  78414. "op": "ReadVariableOp",
  78415. "input0": "training/TFOptimizer/beta1_power/replica_1"
  78416. }
  78417. },
  78418. {
  78419. "ph": "X",
  78420. "cat": "Op",
  78421. "name": "ReadVariableOp",
  78422. "pid": 39,
  78423. "tid": 0,
  78424. "ts": 1539815912099210,
  78425. "dur": 7,
  78426. "args": {
  78427. "name": "training/TFOptimizer/Adam/update_1_12/update_dense/kernel/replica_1/ResourceApplyAdam/ReadVariableOp",
  78428. "op": "ReadVariableOp",
  78429. "input0": "training/TFOptimizer/beta1_power/replica_1"
  78430. }
  78431. },
  78432. {
  78433. "ph": "X",
  78434. "cat": "Op",
  78435. "name": "ReadVariableOp",
  78436. "pid": 39,
  78437. "tid": 0,
  78438. "ts": 1539815912099219,
  78439. "dur": 5,
  78440. "args": {
  78441. "name": "training/TFOptimizer/Adam/update_1_13/update_dense/bias/replica_1/ResourceApplyAdam/ReadVariableOp",
  78442. "op": "ReadVariableOp",
  78443. "input0": "training/TFOptimizer/beta1_power/replica_1"
  78444. }
  78445. },
  78446. {
  78447. "ph": "X",
  78448. "cat": "Op",
  78449. "name": "ReadVariableOp",
  78450. "pid": 39,
  78451. "tid": 0,
  78452. "ts": 1539815912099226,
  78453. "dur": 7,
  78454. "args": {
  78455. "name": "training/TFOptimizer/Adam/update_1_14/update_dense_1/kernel/replica_1/ResourceApplyAdam/ReadVariableOp",
  78456. "op": "ReadVariableOp",
  78457. "input0": "training/TFOptimizer/beta1_power/replica_1"
  78458. }
  78459. },
  78460. {
  78461. "ph": "X",
  78462. "cat": "Op",
  78463. "name": "ReadVariableOp",
  78464. "pid": 39,
  78465. "tid": 0,
  78466. "ts": 1539815912099366,
  78467. "dur": 10,
  78468. "args": {
  78469. "name": "training/TFOptimizer/Adam/update_1_15/update_dense_1/bias/replica_1/ResourceApplyAdam/ReadVariableOp",
  78470. "op": "ReadVariableOp",
  78471. "input0": "training/TFOptimizer/beta1_power/replica_1"
  78472. }
  78473. },
  78474. {
  78475. "ph": "X",
  78476. "cat": "Op",
  78477. "name": "ReadVariableOp",
  78478. "pid": 39,
  78479. "tid": 0,
  78480. "ts": 1539815912099379,
  78481. "dur": 4,
  78482. "args": {
  78483. "name": "training/TFOptimizer/Adam/update_1_2/update_conv2d/kernel/replica_1/ResourceApplyAdam/ReadVariableOp",
  78484. "op": "ReadVariableOp",
  78485. "input0": "training/TFOptimizer/beta1_power/replica_1"
  78486. }
  78487. },
  78488. {
  78489. "ph": "X",
  78490. "cat": "Op",
  78491. "name": "ReadVariableOp",
  78492. "pid": 39,
  78493. "tid": 0,
  78494. "ts": 1539815912099385,
  78495. "dur": 5,
  78496. "args": {
  78497. "name": "training/TFOptimizer/Adam/update_1_3/update_conv2d/bias/replica_1/ResourceApplyAdam/ReadVariableOp",
  78498. "op": "ReadVariableOp",
  78499. "input0": "training/TFOptimizer/beta1_power/replica_1"
  78500. }
  78501. },
  78502. {
  78503. "ph": "X",
  78504. "cat": "Op",
  78505. "name": "ReadVariableOp",
  78506. "pid": 39,
  78507. "tid": 0,
  78508. "ts": 1539815912099406,
  78509. "dur": 6,
  78510. "args": {
  78511. "name": "training/TFOptimizer/Adam/update_1_4/update_batch_normalization_1/gamma/replica_1/ResourceApplyAdam/ReadVariableOp",
  78512. "op": "ReadVariableOp",
  78513. "input0": "training/TFOptimizer/beta1_power/replica_1"
  78514. }
  78515. },
  78516. {
  78517. "ph": "X",
  78518. "cat": "Op",
  78519. "name": "ReadVariableOp",
  78520. "pid": 39,
  78521. "tid": 0,
  78522. "ts": 1539815912099414,
  78523. "dur": 5,
  78524. "args": {
  78525. "name": "training/TFOptimizer/Adam/update_1_5/update_batch_normalization_1/beta/replica_1/ResourceApplyAdam/ReadVariableOp",
  78526. "op": "ReadVariableOp",
  78527. "input0": "training/TFOptimizer/beta1_power/replica_1"
  78528. }
  78529. },
  78530. {
  78531. "ph": "X",
  78532. "cat": "Op",
  78533. "name": "ReadVariableOp",
  78534. "pid": 39,
  78535. "tid": 0,
  78536. "ts": 1539815912099421,
  78537. "dur": 5,
  78538. "args": {
  78539. "name": "training/TFOptimizer/Adam/update_1_6/update_conv2d_1/kernel/replica_1/ResourceApplyAdam/ReadVariableOp",
  78540. "op": "ReadVariableOp",
  78541. "input0": "training/TFOptimizer/beta1_power/replica_1"
  78542. }
  78543. },
  78544. {
  78545. "ph": "X",
  78546. "cat": "Op",
  78547. "name": "ReadVariableOp",
  78548. "pid": 39,
  78549. "tid": 0,
  78550. "ts": 1539815912099431,
  78551. "dur": 6,
  78552. "args": {
  78553. "name": "training/TFOptimizer/Adam/update_1_7/update_conv2d_1/bias/replica_1/ResourceApplyAdam/ReadVariableOp",
  78554. "op": "ReadVariableOp",
  78555. "input0": "training/TFOptimizer/beta1_power/replica_1"
  78556. }
  78557. },
  78558. {
  78559. "ph": "X",
  78560. "cat": "Op",
  78561. "name": "ReadVariableOp",
  78562. "pid": 39,
  78563. "tid": 0,
  78564. "ts": 1539815912099441,
  78565. "dur": 7,
  78566. "args": {
  78567. "name": "training/TFOptimizer/Adam/update_1_8/update_batch_normalization_2/gamma/replica_1/ResourceApplyAdam/ReadVariableOp",
  78568. "op": "ReadVariableOp",
  78569. "input0": "training/TFOptimizer/beta1_power/replica_1"
  78570. }
  78571. },
  78572. {
  78573. "ph": "X",
  78574. "cat": "Op",
  78575. "name": "ReadVariableOp",
  78576. "pid": 39,
  78577. "tid": 0,
  78578. "ts": 1539815912099451,
  78579. "dur": 13,
  78580. "args": {
  78581. "name": "training/TFOptimizer/Adam/update_1_9/update_batch_normalization_2/beta/replica_1/ResourceApplyAdam/ReadVariableOp",
  78582. "op": "ReadVariableOp",
  78583. "input0": "training/TFOptimizer/beta1_power/replica_1"
  78584. }
  78585. },
  78586. {
  78587. "ph": "X",
  78588. "cat": "Op",
  78589. "name": "ReadVariableOp",
  78590. "pid": 39,
  78591. "tid": 0,
  78592. "ts": 1539815912099467,
  78593. "dur": 9,
  78594. "args": {
  78595. "name": "training/TFOptimizer/Adam/update_1/update_batch_normalization/gamma/replica_1/ResourceApplyAdam/ReadVariableOp_1",
  78596. "op": "ReadVariableOp",
  78597. "input0": "training/TFOptimizer/beta2_power/replica_1"
  78598. }
  78599. },
  78600. {
  78601. "ph": "X",
  78602. "cat": "Op",
  78603. "name": "ReadVariableOp",
  78604. "pid": 39,
  78605. "tid": 0,
  78606. "ts": 1539815912099480,
  78607. "dur": 6,
  78608. "args": {
  78609. "name": "training/TFOptimizer/Adam/update_1_1/update_batch_normalization/beta/replica_1/ResourceApplyAdam/ReadVariableOp_1",
  78610. "op": "ReadVariableOp",
  78611. "input0": "training/TFOptimizer/beta2_power/replica_1"
  78612. }
  78613. },
  78614. {
  78615. "ph": "X",
  78616. "cat": "Op",
  78617. "name": "ReadVariableOp",
  78618. "pid": 39,
  78619. "tid": 0,
  78620. "ts": 1539815912099489,
  78621. "dur": 11,
  78622. "args": {
  78623. "name": "training/TFOptimizer/Adam/update_1_10/update_conv2d_2/kernel/replica_1/ResourceApplyAdam/ReadVariableOp_1",
  78624. "op": "ReadVariableOp",
  78625. "input0": "training/TFOptimizer/beta2_power/replica_1"
  78626. }
  78627. },
  78628. {
  78629. "ph": "X",
  78630. "cat": "Op",
  78631. "name": "ReadVariableOp",
  78632. "pid": 39,
  78633. "tid": 0,
  78634. "ts": 1539815912099503,
  78635. "dur": 7,
  78636. "args": {
  78637. "name": "training/TFOptimizer/Adam/update_1_11/update_conv2d_2/bias/replica_1/ResourceApplyAdam/ReadVariableOp_1",
  78638. "op": "ReadVariableOp",
  78639. "input0": "training/TFOptimizer/beta2_power/replica_1"
  78640. }
  78641. },
  78642. {
  78643. "ph": "X",
  78644. "cat": "Op",
  78645. "name": "ReadVariableOp",
  78646. "pid": 39,
  78647. "tid": 0,
  78648. "ts": 1539815912099528,
  78649. "dur": 10,
  78650. "args": {
  78651. "name": "training/TFOptimizer/Adam/update_1_12/update_dense/kernel/replica_1/ResourceApplyAdam/ReadVariableOp_1",
  78652. "op": "ReadVariableOp",
  78653. "input0": "training/TFOptimizer/beta2_power/replica_1"
  78654. }
  78655. },
  78656. {
  78657. "ph": "X",
  78658. "cat": "Op",
  78659. "name": "ReadVariableOp",
  78660. "pid": 39,
  78661. "tid": 0,
  78662. "ts": 1539815912099599,
  78663. "dur": 10,
  78664. "args": {
  78665. "name": "training/TFOptimizer/Adam/update_1_13/update_dense/bias/replica_1/ResourceApplyAdam/ReadVariableOp_1",
  78666. "op": "ReadVariableOp",
  78667. "input0": "training/TFOptimizer/beta2_power/replica_1"
  78668. }
  78669. },
  78670. {
  78671. "ph": "X",
  78672. "cat": "Op",
  78673. "name": "ReadVariableOp",
  78674. "pid": 39,
  78675. "tid": 0,
  78676. "ts": 1539815912099612,
  78677. "dur": 4,
  78678. "args": {
  78679. "name": "training/TFOptimizer/Adam/update_1_14/update_dense_1/kernel/replica_1/ResourceApplyAdam/ReadVariableOp_1",
  78680. "op": "ReadVariableOp",
  78681. "input0": "training/TFOptimizer/beta2_power/replica_1"
  78682. }
  78683. },
  78684. {
  78685. "ph": "X",
  78686. "cat": "Op",
  78687. "name": "ReadVariableOp",
  78688. "pid": 39,
  78689. "tid": 0,
  78690. "ts": 1539815912099618,
  78691. "dur": 5,
  78692. "args": {
  78693. "name": "training/TFOptimizer/Adam/update_1_15/update_dense_1/bias/replica_1/ResourceApplyAdam/ReadVariableOp_1",
  78694. "op": "ReadVariableOp",
  78695. "input0": "training/TFOptimizer/beta2_power/replica_1"
  78696. }
  78697. },
  78698. {
  78699. "ph": "X",
  78700. "cat": "Op",
  78701. "name": "ReadVariableOp",
  78702. "pid": 39,
  78703. "tid": 0,
  78704. "ts": 1539815912099713,
  78705. "dur": 11,
  78706. "args": {
  78707. "name": "training/TFOptimizer/Adam/update_1_2/update_conv2d/kernel/replica_1/ResourceApplyAdam/ReadVariableOp_1",
  78708. "op": "ReadVariableOp",
  78709. "input0": "training/TFOptimizer/beta2_power/replica_1"
  78710. }
  78711. },
  78712. {
  78713. "ph": "X",
  78714. "cat": "Op",
  78715. "name": "ReadVariableOp",
  78716. "pid": 39,
  78717. "tid": 0,
  78718. "ts": 1539815912099727,
  78719. "dur": 11,
  78720. "args": {
  78721. "name": "training/TFOptimizer/Adam/update_1_3/update_conv2d/bias/replica_1/ResourceApplyAdam/ReadVariableOp_1",
  78722. "op": "ReadVariableOp",
  78723. "input0": "training/TFOptimizer/beta2_power/replica_1"
  78724. }
  78725. },
  78726. {
  78727. "ph": "X",
  78728. "cat": "Op",
  78729. "name": "FunctionBufferingResource",
  78730. "pid": 39,
  78731. "tid": 1,
  78732. "ts": 1539815912099480,
  78733. "dur": 707,
  78734. "args": {
  78735. "name": "FunctionBufferingResource_1",
  78736. "op": "FunctionBufferingResource",
  78737. "input0": "IteratorToStringHandle/_1375",
  78738. "input1": "IteratorGetDevice/_1377"
  78739. }
  78740. },
  78741. {
  78742. "ph": "s",
  78743. "cat": "DataFlow",
  78744. "name": "IteratorToStringHandle",
  78745. "pid": 17,
  78746. "tid": 1,
  78747. "ts": 1539815912099412,
  78748. "id": 200
  78749. },
  78750. {
  78751. "ph": "t",
  78752. "cat": "DataFlow",
  78753. "name": "IteratorToStringHandle",
  78754. "pid": 39,
  78755. "tid": 1,
  78756. "ts": 1539815912099480,
  78757. "id": 200
  78758. },
  78759. {
  78760. "ph": "s",
  78761. "cat": "DataFlow",
  78762. "name": "IteratorGetDevice",
  78763. "pid": 17,
  78764. "tid": 0,
  78765. "ts": 1539815912099388,
  78766. "id": 201
  78767. },
  78768. {
  78769. "ph": "t",
  78770. "cat": "DataFlow",
  78771. "name": "IteratorGetDevice",
  78772. "pid": 39,
  78773. "tid": 1,
  78774. "ts": 1539815912099480,
  78775. "id": 201
  78776. },
  78777. {
  78778. "ph": "X",
  78779. "cat": "Op",
  78780. "name": "ReadVariableOp",
  78781. "pid": 39,
  78782. "tid": 0,
  78783. "ts": 1539815912099742,
  78784. "dur": 502,
  78785. "args": {
  78786. "name": "training/TFOptimizer/Adam/update_1_4/update_batch_normalization_1/gamma/replica_1/ResourceApplyAdam/ReadVariableOp_1",
  78787. "op": "ReadVariableOp",
  78788. "input0": "training/TFOptimizer/beta2_power/replica_1"
  78789. }
  78790. },
  78791. {
  78792. "ph": "X",
  78793. "cat": "Op",
  78794. "name": "ReadVariableOp",
  78795. "pid": 39,
  78796. "tid": 0,
  78797. "ts": 1539815912100247,
  78798. "dur": 11,
  78799. "args": {
  78800. "name": "training/TFOptimizer/Adam/update_1_5/update_batch_normalization_1/beta/replica_1/ResourceApplyAdam/ReadVariableOp_1",
  78801. "op": "ReadVariableOp",
  78802. "input0": "training/TFOptimizer/beta2_power/replica_1"
  78803. }
  78804. },
  78805. {
  78806. "ph": "X",
  78807. "cat": "Op",
  78808. "name": "ReadVariableOp",
  78809. "pid": 39,
  78810. "tid": 0,
  78811. "ts": 1539815912100261,
  78812. "dur": 7,
  78813. "args": {
  78814. "name": "training/TFOptimizer/Adam/update_1_6/update_conv2d_1/kernel/replica_1/ResourceApplyAdam/ReadVariableOp_1",
  78815. "op": "ReadVariableOp",
  78816. "input0": "training/TFOptimizer/beta2_power/replica_1"
  78817. }
  78818. },
  78819. {
  78820. "ph": "X",
  78821. "cat": "Op",
  78822. "name": "ReadVariableOp",
  78823. "pid": 39,
  78824. "tid": 0,
  78825. "ts": 1539815912100271,
  78826. "dur": 12,
  78827. "args": {
  78828. "name": "training/TFOptimizer/Adam/update_1_7/update_conv2d_1/bias/replica_1/ResourceApplyAdam/ReadVariableOp_1",
  78829. "op": "ReadVariableOp",
  78830. "input0": "training/TFOptimizer/beta2_power/replica_1"
  78831. }
  78832. },
  78833. {
  78834. "ph": "X",
  78835. "cat": "Op",
  78836. "name": "ReadVariableOp",
  78837. "pid": 39,
  78838. "tid": 0,
  78839. "ts": 1539815912100286,
  78840. "dur": 8,
  78841. "args": {
  78842. "name": "training/TFOptimizer/Adam/update_1_8/update_batch_normalization_2/gamma/replica_1/ResourceApplyAdam/ReadVariableOp_1",
  78843. "op": "ReadVariableOp",
  78844. "input0": "training/TFOptimizer/beta2_power/replica_1"
  78845. }
  78846. },
  78847. {
  78848. "ph": "X",
  78849. "cat": "Op",
  78850. "name": "ReadVariableOp",
  78851. "pid": 39,
  78852. "tid": 0,
  78853. "ts": 1539815912100297,
  78854. "dur": 7,
  78855. "args": {
  78856. "name": "training/TFOptimizer/Adam/update_1_9/update_batch_normalization_2/beta/replica_1/ResourceApplyAdam/ReadVariableOp_1",
  78857. "op": "ReadVariableOp",
  78858. "input0": "training/TFOptimizer/beta2_power/replica_1"
  78859. }
  78860. },
  78861. {
  78862. "ph": "X",
  78863. "cat": "Op",
  78864. "name": "ReadVariableOp",
  78865. "pid": 39,
  78866. "tid": 0,
  78867. "ts": 1539815912100313,
  78868. "dur": 9,
  78869. "args": {
  78870. "name": "tower_1/batch_normalization/ReadVariableOp",
  78871. "op": "ReadVariableOp",
  78872. "input0": "batch_normalization/gamma/replica_1"
  78873. }
  78874. },
  78875. {
  78876. "ph": "X",
  78877. "cat": "Op",
  78878. "name": "ReadVariableOp",
  78879. "pid": 39,
  78880. "tid": 0,
  78881. "ts": 1539815912100325,
  78882. "dur": 8,
  78883. "args": {
  78884. "name": "tower_1/batch_normalization/ReadVariableOp_1",
  78885. "op": "ReadVariableOp",
  78886. "input0": "batch_normalization/beta/replica_1"
  78887. }
  78888. },
  78889. {
  78890. "ph": "X",
  78891. "cat": "Op",
  78892. "name": "ReadVariableOp",
  78893. "pid": 39,
  78894. "tid": 0,
  78895. "ts": 1539815912100336,
  78896. "dur": 13,
  78897. "args": {
  78898. "name": "tower_1/conv2d/Conv2D/ReadVariableOp",
  78899. "op": "ReadVariableOp",
  78900. "input0": "conv2d/kernel/replica_1"
  78901. }
  78902. },
  78903. {
  78904. "ph": "X",
  78905. "cat": "Op",
  78906. "name": "ReadVariableOp",
  78907. "pid": 39,
  78908. "tid": 0,
  78909. "ts": 1539815912100352,
  78910. "dur": 9,
  78911. "args": {
  78912. "name": "tower_1/conv2d/BiasAdd/ReadVariableOp",
  78913. "op": "ReadVariableOp",
  78914. "input0": "conv2d/bias/replica_1"
  78915. }
  78916. },
  78917. {
  78918. "ph": "X",
  78919. "cat": "Op",
  78920. "name": "ReadVariableOp",
  78921. "pid": 39,
  78922. "tid": 0,
  78923. "ts": 1539815912100364,
  78924. "dur": 9,
  78925. "args": {
  78926. "name": "tower_1/batch_normalization_1/ReadVariableOp",
  78927. "op": "ReadVariableOp",
  78928. "input0": "batch_normalization_1/gamma/replica_1"
  78929. }
  78930. },
  78931. {
  78932. "ph": "X",
  78933. "cat": "Op",
  78934. "name": "ReadVariableOp",
  78935. "pid": 39,
  78936. "tid": 0,
  78937. "ts": 1539815912100376,
  78938. "dur": 12,
  78939. "args": {
  78940. "name": "tower_1/batch_normalization_1/ReadVariableOp_1",
  78941. "op": "ReadVariableOp",
  78942. "input0": "batch_normalization_1/beta/replica_1"
  78943. }
  78944. },
  78945. {
  78946. "ph": "X",
  78947. "cat": "Op",
  78948. "name": "ReadVariableOp",
  78949. "pid": 39,
  78950. "tid": 0,
  78951. "ts": 1539815912100391,
  78952. "dur": 9,
  78953. "args": {
  78954. "name": "tower_1/conv2d_1/Conv2D/ReadVariableOp",
  78955. "op": "ReadVariableOp",
  78956. "input0": "conv2d_1/kernel/replica_1"
  78957. }
  78958. },
  78959. {
  78960. "ph": "X",
  78961. "cat": "Op",
  78962. "name": "ReadVariableOp",
  78963. "pid": 39,
  78964. "tid": 0,
  78965. "ts": 1539815912100403,
  78966. "dur": 8,
  78967. "args": {
  78968. "name": "tower_1/conv2d_1/BiasAdd/ReadVariableOp",
  78969. "op": "ReadVariableOp",
  78970. "input0": "conv2d_1/bias/replica_1"
  78971. }
  78972. },
  78973. {
  78974. "ph": "X",
  78975. "cat": "Op",
  78976. "name": "ReadVariableOp",
  78977. "pid": 39,
  78978. "tid": 0,
  78979. "ts": 1539815912100414,
  78980. "dur": 61,
  78981. "args": {
  78982. "name": "tower_1/batch_normalization_2/ReadVariableOp",
  78983. "op": "ReadVariableOp",
  78984. "input0": "batch_normalization_2/gamma/replica_1"
  78985. }
  78986. },
  78987. {
  78988. "ph": "X",
  78989. "cat": "Op",
  78990. "name": "ReadVariableOp",
  78991. "pid": 39,
  78992. "tid": 0,
  78993. "ts": 1539815912100480,
  78994. "dur": 12,
  78995. "args": {
  78996. "name": "tower_1/batch_normalization_2/ReadVariableOp_1",
  78997. "op": "ReadVariableOp",
  78998. "input0": "batch_normalization_2/beta/replica_1"
  78999. }
  79000. },
  79001. {
  79002. "ph": "X",
  79003. "cat": "Op",
  79004. "name": "ReadVariableOp",
  79005. "pid": 39,
  79006. "tid": 0,
  79007. "ts": 1539815912100987,
  79008. "dur": 14,
  79009. "args": {
  79010. "name": "tower_1/conv2d_2/Conv2D/ReadVariableOp",
  79011. "op": "ReadVariableOp",
  79012. "input0": "conv2d_2/kernel/replica_1"
  79013. }
  79014. },
  79015. {
  79016. "ph": "X",
  79017. "cat": "Op",
  79018. "name": "ReadVariableOp",
  79019. "pid": 39,
  79020. "tid": 0,
  79021. "ts": 1539815912101004,
  79022. "dur": 8,
  79023. "args": {
  79024. "name": "tower_1/conv2d_2/BiasAdd/ReadVariableOp",
  79025. "op": "ReadVariableOp",
  79026. "input0": "conv2d_2/bias/replica_1"
  79027. }
  79028. },
  79029. {
  79030. "ph": "X",
  79031. "cat": "Op",
  79032. "name": "ReadVariableOp",
  79033. "pid": 39,
  79034. "tid": 0,
  79035. "ts": 1539815912101015,
  79036. "dur": 454,
  79037. "args": {
  79038. "name": "tower_1/dense/MatMul/ReadVariableOp",
  79039. "op": "ReadVariableOp",
  79040. "input0": "dense/kernel/replica_1"
  79041. }
  79042. },
  79043. {
  79044. "ph": "X",
  79045. "cat": "Op",
  79046. "name": "ReadVariableOp",
  79047. "pid": 39,
  79048. "tid": 0,
  79049. "ts": 1539815912101472,
  79050. "dur": 10,
  79051. "args": {
  79052. "name": "tower_1/dense/BiasAdd/ReadVariableOp",
  79053. "op": "ReadVariableOp",
  79054. "input0": "dense/bias/replica_1"
  79055. }
  79056. },
  79057. {
  79058. "ph": "X",
  79059. "cat": "Op",
  79060. "name": "ReadVariableOp",
  79061. "pid": 39,
  79062. "tid": 0,
  79063. "ts": 1539815912101484,
  79064. "dur": 5,
  79065. "args": {
  79066. "name": "tower_1/dense_1/MatMul/ReadVariableOp",
  79067. "op": "ReadVariableOp",
  79068. "input0": "dense_1/kernel/replica_1"
  79069. }
  79070. },
  79071. {
  79072. "ph": "X",
  79073. "cat": "Op",
  79074. "name": "ReadVariableOp",
  79075. "pid": 39,
  79076. "tid": 0,
  79077. "ts": 1539815912101491,
  79078. "dur": 9,
  79079. "args": {
  79080. "name": "tower_1/dense_1/BiasAdd/ReadVariableOp",
  79081. "op": "ReadVariableOp",
  79082. "input0": "dense_1/bias/replica_1"
  79083. }
  79084. },
  79085. {
  79086. "ph": "X",
  79087. "cat": "Op",
  79088. "name": "ReadVariableOp",
  79089. "pid": 39,
  79090. "tid": 0,
  79091. "ts": 1539815912101502,
  79092. "dur": 6,
  79093. "args": {
  79094. "name": "tower_1/batch_normalization/AssignMovingAvg/ReadVariableOp",
  79095. "op": "ReadVariableOp",
  79096. "input0": "batch_normalization/moving_mean/replica_1"
  79097. }
  79098. },
  79099. {
  79100. "ph": "X",
  79101. "cat": "Op",
  79102. "name": "FunctionBufferingResourceGetNext",
  79103. "pid": 39,
  79104. "tid": 1,
  79105. "ts": 1539815912100192,
  79106. "dur": 3942,
  79107. "args": {
  79108. "name": "FunctionBufferingResourceGetNext_1",
  79109. "op": "FunctionBufferingResourceGetNext",
  79110. "input0": "FunctionBufferingResource_1"
  79111. }
  79112. },
  79113. {
  79114. "ph": "X",
  79115. "cat": "Op",
  79116. "name": "Cast",
  79117. "pid": 39,
  79118. "tid": 0,
  79119. "ts": 1539815912104166,
  79120. "dur": 3179,
  79121. "args": {
  79122. "name": "tower_1/Cast_1",
  79123. "op": "Cast",
  79124. "input0": "FunctionBufferingResourceGetNext_1:1"
  79125. }
  79126. },
  79127. {
  79128. "ph": "s",
  79129. "cat": "DataFlow",
  79130. "name": "FunctionBufferingResourceGetNext_1:1",
  79131. "pid": 39,
  79132. "tid": 1,
  79133. "ts": 1539815912104134,
  79134. "id": 202
  79135. },
  79136. {
  79137. "ph": "t",
  79138. "cat": "DataFlow",
  79139. "name": "FunctionBufferingResourceGetNext_1:1",
  79140. "pid": 39,
  79141. "tid": 0,
  79142. "ts": 1539815912104166,
  79143. "id": 202
  79144. },
  79145. {
  79146. "ph": "X",
  79147. "cat": "Op",
  79148. "name": "Reshape",
  79149. "pid": 39,
  79150. "tid": 0,
  79151. "ts": 1539815912107354,
  79152. "dur": 11,
  79153. "args": {
  79154. "name": "tower_1/loss/activation_1_loss/Reshape",
  79155. "op": "Reshape",
  79156. "input0": "tower_1/Cast_1",
  79157. "input1": "tower_1/loss/activation_1_loss/Reshape/shape"
  79158. }
  79159. },
  79160. {
  79161. "ph": "X",
  79162. "cat": "Op",
  79163. "name": "Cast",
  79164. "pid": 39,
  79165. "tid": 1,
  79166. "ts": 1539815912104171,
  79167. "dur": 3248,
  79168. "args": {
  79169. "name": "tower_1/Cast",
  79170. "op": "Cast",
  79171. "input0": "FunctionBufferingResourceGetNext_1"
  79172. }
  79173. },
  79174. {
  79175. "ph": "X",
  79176. "cat": "Op",
  79177. "name": "Transpose",
  79178. "pid": 39,
  79179. "tid": 0,
  79180. "ts": 1539815912107429,
  79181. "dur": 11,
  79182. "args": {
  79183. "name": "tower_1/batch_normalization/FusedBatchNorm-0-TransposeNHWCToNCHW-LayoutOptimizer",
  79184. "op": "Transpose",
  79185. "input0": "tower_1/Cast",
  79186. "input1": "PermConstNHWCToNCHW-LayoutOptimizer/_1385"
  79187. }
  79188. },
  79189. {
  79190. "ph": "s",
  79191. "cat": "DataFlow",
  79192. "name": "tower_1/Cast",
  79193. "pid": 39,
  79194. "tid": 1,
  79195. "ts": 1539815912107419,
  79196. "id": 203
  79197. },
  79198. {
  79199. "ph": "t",
  79200. "cat": "DataFlow",
  79201. "name": "tower_1/Cast",
  79202. "pid": 39,
  79203. "tid": 0,
  79204. "ts": 1539815912107429,
  79205. "id": 203
  79206. },
  79207. {
  79208. "ph": "s",
  79209. "cat": "DataFlow",
  79210. "name": "PermConstNHWCToNCHW-LayoutOptimizer",
  79211. "pid": 41,
  79212. "tid": 0,
  79213. "ts": 1539815912099159,
  79214. "id": 204
  79215. },
  79216. {
  79217. "ph": "t",
  79218. "cat": "DataFlow",
  79219. "name": "PermConstNHWCToNCHW-LayoutOptimizer",
  79220. "pid": 39,
  79221. "tid": 0,
  79222. "ts": 1539815912107429,
  79223. "id": 204
  79224. },
  79225. {
  79226. "ph": "X",
  79227. "cat": "Op",
  79228. "name": "Cast",
  79229. "pid": 39,
  79230. "tid": 2,
  79231. "ts": 1539815912107368,
  79232. "dur": 77,
  79233. "args": {
  79234. "name": "tower_1/loss/activation_1_loss/Cast",
  79235. "op": "Cast",
  79236. "input0": "tower_1/loss/activation_1_loss/Reshape"
  79237. }
  79238. },
  79239. {
  79240. "ph": "s",
  79241. "cat": "DataFlow",
  79242. "name": "tower_1/loss/activation_1_loss/Reshape",
  79243. "pid": 39,
  79244. "tid": 0,
  79245. "ts": 1539815912107365,
  79246. "id": 205
  79247. },
  79248. {
  79249. "ph": "t",
  79250. "cat": "DataFlow",
  79251. "name": "tower_1/loss/activation_1_loss/Reshape",
  79252. "pid": 39,
  79253. "tid": 2,
  79254. "ts": 1539815912107368,
  79255. "id": 205
  79256. },
  79257. {
  79258. "ph": "X",
  79259. "cat": "Op",
  79260. "name": "FusedBatchNorm",
  79261. "pid": 39,
  79262. "tid": 0,
  79263. "ts": 1539815912107443,
  79264. "dur": 4787908,
  79265. "args": {
  79266. "name": "tower_1/batch_normalization/FusedBatchNorm",
  79267. "op": "FusedBatchNorm",
  79268. "input0": "tower_1/batch_normalization/FusedBatchNorm-0-TransposeNHWCToNCHW-LayoutOptimizer",
  79269. "input1": "tower_1/batch_normalization/ReadVariableOp",
  79270. "input2": "tower_1/batch_normalization/ReadVariableOp_1",
  79271. "input3": "tower_1/batch_normalization/Const",
  79272. "input4": "tower_1/batch_normalization/Const"
  79273. }
  79274. },
  79275. {
  79276. "ph": "X",
  79277. "cat": "Op",
  79278. "name": "Sub",
  79279. "pid": 39,
  79280. "tid": 0,
  79281. "ts": 1539815916895365,
  79282. "dur": 101,
  79283. "args": {
  79284. "name": "tower_1/batch_normalization/AssignMovingAvg/sub_1",
  79285. "op": "Sub",
  79286. "input0": "tower_1/batch_normalization/AssignMovingAvg/ReadVariableOp",
  79287. "input1": "tower_1/batch_normalization/FusedBatchNorm:1"
  79288. }
  79289. },
  79290. {
  79291. "ph": "X",
  79292. "cat": "Op",
  79293. "name": "Sub",
  79294. "pid": 39,
  79295. "tid": 0,
  79296. "ts": 1539815916895471,
  79297. "dur": 27,
  79298. "args": {
  79299. "name": "tower_1/batch_normalization/AssignMovingAvg_1/sub_1",
  79300. "op": "Sub",
  79301. "input0": "tower_1/batch_normalization/AssignMovingAvg_1/ReadVariableOp",
  79302. "input1": "tower_1/batch_normalization/FusedBatchNorm:2"
  79303. }
  79304. },
  79305. {
  79306. "ph": "X",
  79307. "cat": "Op",
  79308. "name": "ShapeN",
  79309. "pid": 39,
  79310. "tid": 0,
  79311. "ts": 1539815916895503,
  79312. "dur": 19,
  79313. "args": {
  79314. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/ShapeN",
  79315. "op": "ShapeN",
  79316. "input0": "tower_1/batch_normalization/FusedBatchNorm",
  79317. "input1": "tower_1/conv2d/Conv2D/ReadVariableOp"
  79318. }
  79319. },
  79320. {
  79321. "ph": "X",
  79322. "cat": "Op",
  79323. "name": "Conv2D",
  79324. "pid": 39,
  79325. "tid": 0,
  79326. "ts": 1539815916895525,
  79327. "dur": 15286,
  79328. "args": {
  79329. "name": "tower_1/conv2d/Conv2D",
  79330. "op": "Conv2D",
  79331. "input0": "tower_1/batch_normalization/FusedBatchNorm",
  79332. "input1": "tower_1/conv2d/Conv2D/ReadVariableOp"
  79333. }
  79334. },
  79335. {
  79336. "ph": "X",
  79337. "cat": "Op",
  79338. "name": "Mul",
  79339. "pid": 39,
  79340. "tid": 0,
  79341. "ts": 1539815916910844,
  79342. "dur": 39,
  79343. "args": {
  79344. "name": "tower_1/batch_normalization/AssignMovingAvg/mul",
  79345. "op": "Mul",
  79346. "input0": "tower_1/batch_normalization/AssignMovingAvg/sub_1",
  79347. "input1": "tower_1/batch_normalization/AssignMovingAvg/sub"
  79348. }
  79349. },
  79350. {
  79351. "ph": "X",
  79352. "cat": "Op",
  79353. "name": "Mul",
  79354. "pid": 39,
  79355. "tid": 0,
  79356. "ts": 1539815916910888,
  79357. "dur": 21,
  79358. "args": {
  79359. "name": "tower_1/batch_normalization/AssignMovingAvg_1/mul",
  79360. "op": "Mul",
  79361. "input0": "tower_1/batch_normalization/AssignMovingAvg_1/sub_1",
  79362. "input1": "tower_1/batch_normalization/AssignMovingAvg/sub"
  79363. }
  79364. },
  79365. {
  79366. "ph": "X",
  79367. "cat": "Op",
  79368. "name": "Const",
  79369. "pid": 39,
  79370. "tid": 0,
  79371. "ts": 1539815916910914,
  79372. "dur": 8,
  79373. "args": {
  79374. "name": "ConstantFolding/tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/ShapeN-matshapes-1",
  79375. "op": "Const",
  79376. "input0": "^tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/ShapeN"
  79377. }
  79378. },
  79379. {
  79380. "ph": "X",
  79381. "cat": "Op",
  79382. "name": "BiasAdd",
  79383. "pid": 39,
  79384. "tid": 0,
  79385. "ts": 1539815916910925,
  79386. "dur": 24,
  79387. "args": {
  79388. "name": "tower_1/conv2d/BiasAdd",
  79389. "op": "BiasAdd",
  79390. "input0": "tower_1/conv2d/Conv2D",
  79391. "input1": "tower_1/conv2d/BiasAdd/ReadVariableOp"
  79392. }
  79393. },
  79394. {
  79395. "ph": "X",
  79396. "cat": "Op",
  79397. "name": "AssignSubVariableOp",
  79398. "pid": 39,
  79399. "tid": 0,
  79400. "ts": 1539815916910953,
  79401. "dur": 2282,
  79402. "args": {
  79403. "name": "tower_1/batch_normalization/AssignMovingAvg/AssignSubVariableOp",
  79404. "op": "AssignSubVariableOp",
  79405. "input0": "batch_normalization/moving_mean/replica_1",
  79406. "input1": "tower_1/batch_normalization/AssignMovingAvg/mul"
  79407. }
  79408. },
  79409. {
  79410. "ph": "X",
  79411. "cat": "Op",
  79412. "name": "AssignSubVariableOp",
  79413. "pid": 39,
  79414. "tid": 0,
  79415. "ts": 1539815916913239,
  79416. "dur": 94,
  79417. "args": {
  79418. "name": "tower_1/batch_normalization/AssignMovingAvg_1/AssignSubVariableOp",
  79419. "op": "AssignSubVariableOp",
  79420. "input0": "batch_normalization/moving_variance/replica_1",
  79421. "input1": "tower_1/batch_normalization/AssignMovingAvg_1/mul"
  79422. }
  79423. },
  79424. {
  79425. "ph": "X",
  79426. "cat": "Op",
  79427. "name": "Elu",
  79428. "pid": 39,
  79429. "tid": 0,
  79430. "ts": 1539815916913337,
  79431. "dur": 32,
  79432. "args": {
  79433. "name": "tower_1/conv2d/Elu",
  79434. "op": "Elu",
  79435. "input0": "tower_1/conv2d/BiasAdd"
  79436. }
  79437. },
  79438. {
  79439. "ph": "X",
  79440. "cat": "Op",
  79441. "name": "MaxPool",
  79442. "pid": 39,
  79443. "tid": 0,
  79444. "ts": 1539815916913373,
  79445. "dur": 1737,
  79446. "args": {
  79447. "name": "tower_1/max_pooling2d/MaxPool",
  79448. "op": "MaxPool",
  79449. "input0": "tower_1/conv2d/Elu"
  79450. }
  79451. },
  79452. {
  79453. "ph": "X",
  79454. "cat": "Op",
  79455. "name": "Shape",
  79456. "pid": 39,
  79457. "tid": 0,
  79458. "ts": 1539815916915119,
  79459. "dur": 13,
  79460. "args": {
  79461. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout/dropout/div_grad/Shape",
  79462. "op": "Shape",
  79463. "input0": "tower_1/max_pooling2d/MaxPool"
  79464. }
  79465. },
  79466. {
  79467. "ph": "X",
  79468. "cat": "Op",
  79469. "name": "Mul",
  79470. "pid": 39,
  79471. "tid": 0,
  79472. "ts": 1539815916915135,
  79473. "dur": 31,
  79474. "args": {
  79475. "name": "tower_1/dropout/dropout/div",
  79476. "op": "Mul",
  79477. "input0": "tower_1/max_pooling2d/MaxPool",
  79478. "input1": "ConstantFolding/tower_1/training/TFOptimizer/gradients/tower_1/dropout/dropout/div_grad/RealDiv_recip"
  79479. }
  79480. },
  79481. {
  79482. "ph": "X",
  79483. "cat": "Op",
  79484. "name": "DataFormatVecPermute",
  79485. "pid": 39,
  79486. "tid": 0,
  79487. "ts": 1539815916915173,
  79488. "dur": 15,
  79489. "args": {
  79490. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout/dropout/div_grad/Shape-0-0-VecPermuteNCHWToNHWC-LayoutOptimizer",
  79491. "op": "DataFormatVecPermute",
  79492. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/dropout/dropout/div_grad/Shape"
  79493. }
  79494. },
  79495. {
  79496. "ph": "X",
  79497. "cat": "Op",
  79498. "name": "BroadcastGradientArgs",
  79499. "pid": 39,
  79500. "tid": 0,
  79501. "ts": 1539815916915191,
  79502. "dur": 17,
  79503. "args": {
  79504. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout/dropout/div_grad/BroadcastGradientArgs",
  79505. "op": "BroadcastGradientArgs",
  79506. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/dropout/dropout/div_grad/Shape-0-0-VecPermuteNCHWToNHWC-LayoutOptimizer",
  79507. "input1": "tower_1/training/TFOptimizer/gradients/tower_1/dropout/dropout/div_grad/Shape_1"
  79508. }
  79509. },
  79510. {
  79511. "ph": "X",
  79512. "cat": "Op",
  79513. "name": "RandomUniform",
  79514. "pid": 39,
  79515. "tid": 0,
  79516. "ts": 1539815916915211,
  79517. "dur": 31,
  79518. "args": {
  79519. "name": "tower_1/dropout/dropout/random_uniform/RandomUniform",
  79520. "op": "RandomUniform",
  79521. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/dropout/dropout/div_grad/Shape-1-0-VecPermuteNCHWToNHWC-LayoutOptimizer"
  79522. }
  79523. },
  79524. {
  79525. "ph": "X",
  79526. "cat": "Op",
  79527. "name": "Add",
  79528. "pid": 39,
  79529. "tid": 0,
  79530. "ts": 1539815916915249,
  79531. "dur": 27,
  79532. "args": {
  79533. "name": "tower_1/dropout/dropout/add",
  79534. "op": "Add",
  79535. "input0": "tower_1/dropout_2/dropout/keep_prob",
  79536. "input1": "tower_1/dropout/dropout/random_uniform/RandomUniform"
  79537. }
  79538. },
  79539. {
  79540. "ph": "X",
  79541. "cat": "Op",
  79542. "name": "Floor",
  79543. "pid": 39,
  79544. "tid": 0,
  79545. "ts": 1539815916915280,
  79546. "dur": 59,
  79547. "args": {
  79548. "name": "tower_1/dropout/dropout/Floor",
  79549. "op": "Floor",
  79550. "input0": "tower_1/dropout/dropout/add"
  79551. }
  79552. },
  79553. {
  79554. "ph": "X",
  79555. "cat": "Op",
  79556. "name": "Transpose",
  79557. "pid": 39,
  79558. "tid": 0,
  79559. "ts": 1539815916915343,
  79560. "dur": 2907,
  79561. "args": {
  79562. "name": "tower_1/dropout/dropout/mul-1-TransposeNHWCToNCHW-LayoutOptimizer",
  79563. "op": "Transpose",
  79564. "input0": "tower_1/dropout/dropout/Floor",
  79565. "input1": "PermConstNHWCToNCHW-LayoutOptimizer/_1385"
  79566. }
  79567. },
  79568. {
  79569. "ph": "s",
  79570. "cat": "DataFlow",
  79571. "name": "PermConstNHWCToNCHW-LayoutOptimizer",
  79572. "pid": 41,
  79573. "tid": 0,
  79574. "ts": 1539815912099159,
  79575. "id": 206
  79576. },
  79577. {
  79578. "ph": "t",
  79579. "cat": "DataFlow",
  79580. "name": "PermConstNHWCToNCHW-LayoutOptimizer",
  79581. "pid": 39,
  79582. "tid": 0,
  79583. "ts": 1539815916915343,
  79584. "id": 206
  79585. },
  79586. {
  79587. "ph": "X",
  79588. "cat": "Op",
  79589. "name": "Mul",
  79590. "pid": 39,
  79591. "tid": 0,
  79592. "ts": 1539815916918266,
  79593. "dur": 50,
  79594. "args": {
  79595. "name": "tower_1/dropout/dropout/mul",
  79596. "op": "Mul",
  79597. "input0": "tower_1/dropout/dropout/div",
  79598. "input1": "tower_1/dropout/dropout/mul-1-TransposeNHWCToNCHW-LayoutOptimizer"
  79599. }
  79600. },
  79601. {
  79602. "ph": "X",
  79603. "cat": "Op",
  79604. "name": "FusedBatchNorm",
  79605. "pid": 39,
  79606. "tid": 0,
  79607. "ts": 1539815916918360,
  79608. "dur": 70,
  79609. "args": {
  79610. "name": "tower_1/batch_normalization_1/FusedBatchNorm",
  79611. "op": "FusedBatchNorm",
  79612. "input0": "tower_1/dropout/dropout/mul",
  79613. "input1": "tower_1/batch_normalization_1/ReadVariableOp",
  79614. "input2": "tower_1/batch_normalization_1/ReadVariableOp_1",
  79615. "input3": "tower_1/batch_normalization/Const",
  79616. "input4": "tower_1/batch_normalization/Const"
  79617. }
  79618. },
  79619. {
  79620. "ph": "X",
  79621. "cat": "Op",
  79622. "name": "Sub",
  79623. "pid": 39,
  79624. "tid": 0,
  79625. "ts": 1539815916918440,
  79626. "dur": 29,
  79627. "args": {
  79628. "name": "tower_1/batch_normalization_1/AssignMovingAvg/sub_1",
  79629. "op": "Sub",
  79630. "input0": "tower_1/batch_normalization_1/AssignMovingAvg/ReadVariableOp",
  79631. "input1": "tower_1/batch_normalization_1/FusedBatchNorm:1"
  79632. }
  79633. },
  79634. {
  79635. "ph": "X",
  79636. "cat": "Op",
  79637. "name": "Sub",
  79638. "pid": 39,
  79639. "tid": 0,
  79640. "ts": 1539815916918473,
  79641. "dur": 21,
  79642. "args": {
  79643. "name": "tower_1/batch_normalization_1/AssignMovingAvg_1/sub_1",
  79644. "op": "Sub",
  79645. "input0": "tower_1/batch_normalization_1/AssignMovingAvg_1/ReadVariableOp",
  79646. "input1": "tower_1/batch_normalization_1/FusedBatchNorm:2"
  79647. }
  79648. },
  79649. {
  79650. "ph": "X",
  79651. "cat": "Op",
  79652. "name": "ShapeN",
  79653. "pid": 39,
  79654. "tid": 0,
  79655. "ts": 1539815916918498,
  79656. "dur": 14,
  79657. "args": {
  79658. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/ShapeN",
  79659. "op": "ShapeN",
  79660. "input0": "tower_1/batch_normalization_1/FusedBatchNorm",
  79661. "input1": "tower_1/conv2d_1/Conv2D/ReadVariableOp"
  79662. }
  79663. },
  79664. {
  79665. "ph": "X",
  79666. "cat": "Op",
  79667. "name": "Conv2D",
  79668. "pid": 39,
  79669. "tid": 0,
  79670. "ts": 1539815916918516,
  79671. "dur": 20527,
  79672. "args": {
  79673. "name": "tower_1/conv2d_1/Conv2D",
  79674. "op": "Conv2D",
  79675. "input0": "tower_1/batch_normalization_1/FusedBatchNorm",
  79676. "input1": "tower_1/conv2d_1/Conv2D/ReadVariableOp"
  79677. }
  79678. },
  79679. {
  79680. "ph": "X",
  79681. "cat": "Op",
  79682. "name": "Mul",
  79683. "pid": 39,
  79684. "tid": 0,
  79685. "ts": 1539815916939054,
  79686. "dur": 32,
  79687. "args": {
  79688. "name": "tower_1/batch_normalization_1/AssignMovingAvg/mul",
  79689. "op": "Mul",
  79690. "input0": "tower_1/batch_normalization_1/AssignMovingAvg/sub_1",
  79691. "input1": "tower_1/batch_normalization/AssignMovingAvg/sub"
  79692. }
  79693. },
  79694. {
  79695. "ph": "X",
  79696. "cat": "Op",
  79697. "name": "Mul",
  79698. "pid": 39,
  79699. "tid": 0,
  79700. "ts": 1539815916939091,
  79701. "dur": 42,
  79702. "args": {
  79703. "name": "tower_1/batch_normalization_1/AssignMovingAvg_1/mul",
  79704. "op": "Mul",
  79705. "input0": "tower_1/batch_normalization_1/AssignMovingAvg_1/sub_1",
  79706. "input1": "tower_1/batch_normalization/AssignMovingAvg/sub"
  79707. }
  79708. },
  79709. {
  79710. "ph": "X",
  79711. "cat": "Op",
  79712. "name": "Const",
  79713. "pid": 39,
  79714. "tid": 0,
  79715. "ts": 1539815916939137,
  79716. "dur": 8,
  79717. "args": {
  79718. "name": "ConstantFolding/tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/ShapeN-matshapes-1",
  79719. "op": "Const",
  79720. "input0": "^tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/ShapeN"
  79721. }
  79722. },
  79723. {
  79724. "ph": "X",
  79725. "cat": "Op",
  79726. "name": "BiasAdd",
  79727. "pid": 39,
  79728. "tid": 0,
  79729. "ts": 1539815916939148,
  79730. "dur": 30,
  79731. "args": {
  79732. "name": "tower_1/conv2d_1/BiasAdd",
  79733. "op": "BiasAdd",
  79734. "input0": "tower_1/conv2d_1/Conv2D",
  79735. "input1": "tower_1/conv2d_1/BiasAdd/ReadVariableOp"
  79736. }
  79737. },
  79738. {
  79739. "ph": "X",
  79740. "cat": "Op",
  79741. "name": "AssignSubVariableOp",
  79742. "pid": 39,
  79743. "tid": 0,
  79744. "ts": 1539815916939182,
  79745. "dur": 54,
  79746. "args": {
  79747. "name": "tower_1/batch_normalization_1/AssignMovingAvg/AssignSubVariableOp",
  79748. "op": "AssignSubVariableOp",
  79749. "input0": "batch_normalization_1/moving_mean/replica_1",
  79750. "input1": "tower_1/batch_normalization_1/AssignMovingAvg/mul"
  79751. }
  79752. },
  79753. {
  79754. "ph": "X",
  79755. "cat": "Op",
  79756. "name": "AssignSubVariableOp",
  79757. "pid": 39,
  79758. "tid": 0,
  79759. "ts": 1539815916939240,
  79760. "dur": 64,
  79761. "args": {
  79762. "name": "tower_1/batch_normalization_1/AssignMovingAvg_1/AssignSubVariableOp",
  79763. "op": "AssignSubVariableOp",
  79764. "input0": "batch_normalization_1/moving_variance/replica_1",
  79765. "input1": "tower_1/batch_normalization_1/AssignMovingAvg_1/mul"
  79766. }
  79767. },
  79768. {
  79769. "ph": "X",
  79770. "cat": "Op",
  79771. "name": "Elu",
  79772. "pid": 39,
  79773. "tid": 0,
  79774. "ts": 1539815916939308,
  79775. "dur": 24,
  79776. "args": {
  79777. "name": "tower_1/conv2d_1/Elu",
  79778. "op": "Elu",
  79779. "input0": "tower_1/conv2d_1/BiasAdd"
  79780. }
  79781. },
  79782. {
  79783. "ph": "X",
  79784. "cat": "Op",
  79785. "name": "MaxPool",
  79786. "pid": 39,
  79787. "tid": 0,
  79788. "ts": 1539815916939336,
  79789. "dur": 42,
  79790. "args": {
  79791. "name": "tower_1/max_pooling2d_1/MaxPool",
  79792. "op": "MaxPool",
  79793. "input0": "tower_1/conv2d_1/Elu"
  79794. }
  79795. },
  79796. {
  79797. "ph": "X",
  79798. "cat": "Op",
  79799. "name": "Shape",
  79800. "pid": 39,
  79801. "tid": 0,
  79802. "ts": 1539815916939386,
  79803. "dur": 12,
  79804. "args": {
  79805. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_1/dropout/div_grad/Shape",
  79806. "op": "Shape",
  79807. "input0": "tower_1/max_pooling2d_1/MaxPool"
  79808. }
  79809. },
  79810. {
  79811. "ph": "X",
  79812. "cat": "Op",
  79813. "name": "Mul",
  79814. "pid": 39,
  79815. "tid": 0,
  79816. "ts": 1539815916939401,
  79817. "dur": 27,
  79818. "args": {
  79819. "name": "tower_1/dropout_1/dropout/div",
  79820. "op": "Mul",
  79821. "input0": "tower_1/max_pooling2d_1/MaxPool",
  79822. "input1": "ConstantFolding/tower_1/training/TFOptimizer/gradients/tower_1/dropout/dropout/div_grad/RealDiv_recip"
  79823. }
  79824. },
  79825. {
  79826. "ph": "X",
  79827. "cat": "Op",
  79828. "name": "DataFormatVecPermute",
  79829. "pid": 39,
  79830. "tid": 0,
  79831. "ts": 1539815916939434,
  79832. "dur": 14,
  79833. "args": {
  79834. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_1/dropout/div_grad/Shape-0-1-VecPermuteNCHWToNHWC-LayoutOptimizer",
  79835. "op": "DataFormatVecPermute",
  79836. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_1/dropout/div_grad/Shape"
  79837. }
  79838. },
  79839. {
  79840. "ph": "X",
  79841. "cat": "Op",
  79842. "name": "BroadcastGradientArgs",
  79843. "pid": 39,
  79844. "tid": 0,
  79845. "ts": 1539815916939452,
  79846. "dur": 10,
  79847. "args": {
  79848. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_1/dropout/div_grad/BroadcastGradientArgs",
  79849. "op": "BroadcastGradientArgs",
  79850. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_1/dropout/div_grad/Shape-1-0-VecPermuteNCHWToNHWC-LayoutOptimizer",
  79851. "input1": "tower_1/training/TFOptimizer/gradients/tower_1/dropout/dropout/div_grad/Shape_1"
  79852. }
  79853. },
  79854. {
  79855. "ph": "X",
  79856. "cat": "Op",
  79857. "name": "RandomUniform",
  79858. "pid": 39,
  79859. "tid": 0,
  79860. "ts": 1539815916939465,
  79861. "dur": 26,
  79862. "args": {
  79863. "name": "tower_1/dropout_1/dropout/random_uniform/RandomUniform",
  79864. "op": "RandomUniform",
  79865. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_1/dropout/div_grad/Shape-2-0-VecPermuteNCHWToNHWC-LayoutOptimizer"
  79866. }
  79867. },
  79868. {
  79869. "ph": "X",
  79870. "cat": "Op",
  79871. "name": "Add",
  79872. "pid": 39,
  79873. "tid": 0,
  79874. "ts": 1539815916939497,
  79875. "dur": 24,
  79876. "args": {
  79877. "name": "tower_1/dropout_1/dropout/add",
  79878. "op": "Add",
  79879. "input0": "tower_1/dropout_2/dropout/keep_prob",
  79880. "input1": "tower_1/dropout_1/dropout/random_uniform/RandomUniform"
  79881. }
  79882. },
  79883. {
  79884. "ph": "X",
  79885. "cat": "Op",
  79886. "name": "Floor",
  79887. "pid": 39,
  79888. "tid": 0,
  79889. "ts": 1539815916939525,
  79890. "dur": 21,
  79891. "args": {
  79892. "name": "tower_1/dropout_1/dropout/Floor",
  79893. "op": "Floor",
  79894. "input0": "tower_1/dropout_1/dropout/add"
  79895. }
  79896. },
  79897. {
  79898. "ph": "X",
  79899. "cat": "Op",
  79900. "name": "Transpose",
  79901. "pid": 39,
  79902. "tid": 0,
  79903. "ts": 1539815916939550,
  79904. "dur": 29,
  79905. "args": {
  79906. "name": "tower_1/dropout_1/dropout/mul-1-TransposeNHWCToNCHW-LayoutOptimizer",
  79907. "op": "Transpose",
  79908. "input0": "tower_1/dropout_1/dropout/Floor",
  79909. "input1": "PermConstNHWCToNCHW-LayoutOptimizer/_1385"
  79910. }
  79911. },
  79912. {
  79913. "ph": "s",
  79914. "cat": "DataFlow",
  79915. "name": "PermConstNHWCToNCHW-LayoutOptimizer",
  79916. "pid": 41,
  79917. "tid": 0,
  79918. "ts": 1539815912099159,
  79919. "id": 207
  79920. },
  79921. {
  79922. "ph": "t",
  79923. "cat": "DataFlow",
  79924. "name": "PermConstNHWCToNCHW-LayoutOptimizer",
  79925. "pid": 39,
  79926. "tid": 0,
  79927. "ts": 1539815916939550,
  79928. "id": 207
  79929. },
  79930. {
  79931. "ph": "X",
  79932. "cat": "Op",
  79933. "name": "Mul",
  79934. "pid": 39,
  79935. "tid": 0,
  79936. "ts": 1539815916939585,
  79937. "dur": 23,
  79938. "args": {
  79939. "name": "tower_1/dropout_1/dropout/mul",
  79940. "op": "Mul",
  79941. "input0": "tower_1/dropout_1/dropout/div",
  79942. "input1": "tower_1/dropout_1/dropout/mul-1-TransposeNHWCToNCHW-LayoutOptimizer"
  79943. }
  79944. },
  79945. {
  79946. "ph": "X",
  79947. "cat": "Op",
  79948. "name": "FusedBatchNorm",
  79949. "pid": 39,
  79950. "tid": 0,
  79951. "ts": 1539815916939612,
  79952. "dur": 65,
  79953. "args": {
  79954. "name": "tower_1/batch_normalization_2/FusedBatchNorm",
  79955. "op": "FusedBatchNorm",
  79956. "input0": "tower_1/dropout_1/dropout/mul",
  79957. "input1": "tower_1/batch_normalization_2/ReadVariableOp",
  79958. "input2": "tower_1/batch_normalization_2/ReadVariableOp_1",
  79959. "input3": "tower_1/batch_normalization/Const",
  79960. "input4": "tower_1/batch_normalization/Const"
  79961. }
  79962. },
  79963. {
  79964. "ph": "X",
  79965. "cat": "Op",
  79966. "name": "Sub",
  79967. "pid": 39,
  79968. "tid": 0,
  79969. "ts": 1539815916939685,
  79970. "dur": 26,
  79971. "args": {
  79972. "name": "tower_1/batch_normalization_2/AssignMovingAvg/sub_1",
  79973. "op": "Sub",
  79974. "input0": "tower_1/batch_normalization_2/AssignMovingAvg/ReadVariableOp",
  79975. "input1": "tower_1/batch_normalization_2/FusedBatchNorm:1"
  79976. }
  79977. },
  79978. {
  79979. "ph": "X",
  79980. "cat": "Op",
  79981. "name": "Sub",
  79982. "pid": 39,
  79983. "tid": 0,
  79984. "ts": 1539815916939716,
  79985. "dur": 19,
  79986. "args": {
  79987. "name": "tower_1/batch_normalization_2/AssignMovingAvg_1/sub_1",
  79988. "op": "Sub",
  79989. "input0": "tower_1/batch_normalization_2/AssignMovingAvg_1/ReadVariableOp",
  79990. "input1": "tower_1/batch_normalization_2/FusedBatchNorm:2"
  79991. }
  79992. },
  79993. {
  79994. "ph": "X",
  79995. "cat": "Op",
  79996. "name": "ShapeN",
  79997. "pid": 39,
  79998. "tid": 0,
  79999. "ts": 1539815916939739,
  80000. "dur": 13,
  80001. "args": {
  80002. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/ShapeN",
  80003. "op": "ShapeN",
  80004. "input0": "tower_1/batch_normalization_2/FusedBatchNorm",
  80005. "input1": "tower_1/conv2d_2/Conv2D/ReadVariableOp"
  80006. }
  80007. },
  80008. {
  80009. "ph": "X",
  80010. "cat": "Op",
  80011. "name": "Conv2D",
  80012. "pid": 39,
  80013. "tid": 0,
  80014. "ts": 1539815916939755,
  80015. "dur": 24694,
  80016. "args": {
  80017. "name": "tower_1/conv2d_2/Conv2D",
  80018. "op": "Conv2D",
  80019. "input0": "tower_1/batch_normalization_2/FusedBatchNorm",
  80020. "input1": "tower_1/conv2d_2/Conv2D/ReadVariableOp"
  80021. }
  80022. },
  80023. {
  80024. "ph": "X",
  80025. "cat": "Op",
  80026. "name": "Mul",
  80027. "pid": 39,
  80028. "tid": 0,
  80029. "ts": 1539815916964461,
  80030. "dur": 31,
  80031. "args": {
  80032. "name": "tower_1/batch_normalization_2/AssignMovingAvg/mul",
  80033. "op": "Mul",
  80034. "input0": "tower_1/batch_normalization_2/AssignMovingAvg/sub_1",
  80035. "input1": "tower_1/batch_normalization/AssignMovingAvg/sub"
  80036. }
  80037. },
  80038. {
  80039. "ph": "X",
  80040. "cat": "Op",
  80041. "name": "Mul",
  80042. "pid": 39,
  80043. "tid": 0,
  80044. "ts": 1539815916964497,
  80045. "dur": 21,
  80046. "args": {
  80047. "name": "tower_1/batch_normalization_2/AssignMovingAvg_1/mul",
  80048. "op": "Mul",
  80049. "input0": "tower_1/batch_normalization_2/AssignMovingAvg_1/sub_1",
  80050. "input1": "tower_1/batch_normalization/AssignMovingAvg/sub"
  80051. }
  80052. },
  80053. {
  80054. "ph": "X",
  80055. "cat": "Op",
  80056. "name": "Const",
  80057. "pid": 39,
  80058. "tid": 0,
  80059. "ts": 1539815916964521,
  80060. "dur": 7,
  80061. "args": {
  80062. "name": "ConstantFolding/tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/ShapeN-matshapes-1",
  80063. "op": "Const",
  80064. "input0": "^tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/ShapeN"
  80065. }
  80066. },
  80067. {
  80068. "ph": "X",
  80069. "cat": "Op",
  80070. "name": "BiasAdd",
  80071. "pid": 39,
  80072. "tid": 0,
  80073. "ts": 1539815916964530,
  80074. "dur": 21,
  80075. "args": {
  80076. "name": "tower_1/conv2d_2/BiasAdd",
  80077. "op": "BiasAdd",
  80078. "input0": "tower_1/conv2d_2/Conv2D",
  80079. "input1": "tower_1/conv2d_2/BiasAdd/ReadVariableOp"
  80080. }
  80081. },
  80082. {
  80083. "ph": "X",
  80084. "cat": "Op",
  80085. "name": "AssignSubVariableOp",
  80086. "pid": 39,
  80087. "tid": 0,
  80088. "ts": 1539815916964554,
  80089. "dur": 51,
  80090. "args": {
  80091. "name": "tower_1/batch_normalization_2/AssignMovingAvg/AssignSubVariableOp",
  80092. "op": "AssignSubVariableOp",
  80093. "input0": "batch_normalization_2/moving_mean/replica_1",
  80094. "input1": "tower_1/batch_normalization_2/AssignMovingAvg/mul"
  80095. }
  80096. },
  80097. {
  80098. "ph": "X",
  80099. "cat": "Op",
  80100. "name": "AssignSubVariableOp",
  80101. "pid": 39,
  80102. "tid": 0,
  80103. "ts": 1539815916964608,
  80104. "dur": 40,
  80105. "args": {
  80106. "name": "tower_1/batch_normalization_2/AssignMovingAvg_1/AssignSubVariableOp",
  80107. "op": "AssignSubVariableOp",
  80108. "input0": "batch_normalization_2/moving_variance/replica_1",
  80109. "input1": "tower_1/batch_normalization_2/AssignMovingAvg_1/mul"
  80110. }
  80111. },
  80112. {
  80113. "ph": "X",
  80114. "cat": "Op",
  80115. "name": "Elu",
  80116. "pid": 39,
  80117. "tid": 0,
  80118. "ts": 1539815916964651,
  80119. "dur": 24,
  80120. "args": {
  80121. "name": "tower_1/conv2d_2/Elu",
  80122. "op": "Elu",
  80123. "input0": "tower_1/conv2d_2/BiasAdd"
  80124. }
  80125. },
  80126. {
  80127. "ph": "X",
  80128. "cat": "Op",
  80129. "name": "MaxPool",
  80130. "pid": 39,
  80131. "tid": 0,
  80132. "ts": 1539815916964678,
  80133. "dur": 39,
  80134. "args": {
  80135. "name": "tower_1/max_pooling2d_2/MaxPool",
  80136. "op": "MaxPool",
  80137. "input0": "tower_1/conv2d_2/Elu"
  80138. }
  80139. },
  80140. {
  80141. "ph": "X",
  80142. "cat": "Op",
  80143. "name": "Shape",
  80144. "pid": 39,
  80145. "tid": 0,
  80146. "ts": 1539815916964725,
  80147. "dur": 10,
  80148. "args": {
  80149. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_2/dropout/div_grad/Shape",
  80150. "op": "Shape",
  80151. "input0": "tower_1/max_pooling2d_2/MaxPool"
  80152. }
  80153. },
  80154. {
  80155. "ph": "X",
  80156. "cat": "Op",
  80157. "name": "Mul",
  80158. "pid": 39,
  80159. "tid": 0,
  80160. "ts": 1539815916964738,
  80161. "dur": 26,
  80162. "args": {
  80163. "name": "tower_1/dropout_2/dropout/div",
  80164. "op": "Mul",
  80165. "input0": "tower_1/max_pooling2d_2/MaxPool",
  80166. "input1": "ConstantFolding/tower_1/training/TFOptimizer/gradients/tower_1/dropout/dropout/div_grad/RealDiv_recip"
  80167. }
  80168. },
  80169. {
  80170. "ph": "X",
  80171. "cat": "Op",
  80172. "name": "DataFormatVecPermute",
  80173. "pid": 39,
  80174. "tid": 0,
  80175. "ts": 1539815916964771,
  80176. "dur": 13,
  80177. "args": {
  80178. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_2/dropout/div_grad/Shape-0-0-VecPermuteNCHWToNHWC-LayoutOptimizer",
  80179. "op": "DataFormatVecPermute",
  80180. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_2/dropout/div_grad/Shape"
  80181. }
  80182. },
  80183. {
  80184. "ph": "X",
  80185. "cat": "Op",
  80186. "name": "BroadcastGradientArgs",
  80187. "pid": 39,
  80188. "tid": 0,
  80189. "ts": 1539815916964787,
  80190. "dur": 9,
  80191. "args": {
  80192. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_2/dropout/div_grad/BroadcastGradientArgs",
  80193. "op": "BroadcastGradientArgs",
  80194. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_2/dropout/div_grad/Shape-0-0-VecPermuteNCHWToNHWC-LayoutOptimizer",
  80195. "input1": "tower_1/training/TFOptimizer/gradients/tower_1/dropout/dropout/div_grad/Shape_1"
  80196. }
  80197. },
  80198. {
  80199. "ph": "X",
  80200. "cat": "Op",
  80201. "name": "RandomUniform",
  80202. "pid": 39,
  80203. "tid": 0,
  80204. "ts": 1539815916964799,
  80205. "dur": 25,
  80206. "args": {
  80207. "name": "tower_1/dropout_2/dropout/random_uniform/RandomUniform",
  80208. "op": "RandomUniform",
  80209. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_2/dropout/div_grad/Shape-1-0-VecPermuteNCHWToNHWC-LayoutOptimizer"
  80210. }
  80211. },
  80212. {
  80213. "ph": "X",
  80214. "cat": "Op",
  80215. "name": "Add",
  80216. "pid": 39,
  80217. "tid": 0,
  80218. "ts": 1539815916964830,
  80219. "dur": 24,
  80220. "args": {
  80221. "name": "tower_1/dropout_2/dropout/add",
  80222. "op": "Add",
  80223. "input0": "tower_1/dropout_2/dropout/keep_prob",
  80224. "input1": "tower_1/dropout_2/dropout/random_uniform/RandomUniform"
  80225. }
  80226. },
  80227. {
  80228. "ph": "X",
  80229. "cat": "Op",
  80230. "name": "Floor",
  80231. "pid": 39,
  80232. "tid": 0,
  80233. "ts": 1539815916964857,
  80234. "dur": 19,
  80235. "args": {
  80236. "name": "tower_1/dropout_2/dropout/Floor",
  80237. "op": "Floor",
  80238. "input0": "tower_1/dropout_2/dropout/add"
  80239. }
  80240. },
  80241. {
  80242. "ph": "X",
  80243. "cat": "Op",
  80244. "name": "Transpose",
  80245. "pid": 39,
  80246. "tid": 0,
  80247. "ts": 1539815916964879,
  80248. "dur": 229,
  80249. "args": {
  80250. "name": "tower_1/dropout_2/dropout/mul-1-TransposeNHWCToNCHW-LayoutOptimizer",
  80251. "op": "Transpose",
  80252. "input0": "tower_1/dropout_2/dropout/Floor",
  80253. "input1": "PermConstNHWCToNCHW-LayoutOptimizer/_1385"
  80254. }
  80255. },
  80256. {
  80257. "ph": "s",
  80258. "cat": "DataFlow",
  80259. "name": "PermConstNHWCToNCHW-LayoutOptimizer",
  80260. "pid": 41,
  80261. "tid": 0,
  80262. "ts": 1539815912099159,
  80263. "id": 208
  80264. },
  80265. {
  80266. "ph": "t",
  80267. "cat": "DataFlow",
  80268. "name": "PermConstNHWCToNCHW-LayoutOptimizer",
  80269. "pid": 39,
  80270. "tid": 0,
  80271. "ts": 1539815916964879,
  80272. "id": 208
  80273. },
  80274. {
  80275. "ph": "X",
  80276. "cat": "Op",
  80277. "name": "Mul",
  80278. "pid": 39,
  80279. "tid": 0,
  80280. "ts": 1539815916965116,
  80281. "dur": 27,
  80282. "args": {
  80283. "name": "tower_1/dropout_2/dropout/mul",
  80284. "op": "Mul",
  80285. "input0": "tower_1/dropout_2/dropout/div",
  80286. "input1": "tower_1/dropout_2/dropout/mul-1-TransposeNHWCToNCHW-LayoutOptimizer"
  80287. }
  80288. },
  80289. {
  80290. "ph": "X",
  80291. "cat": "Op",
  80292. "name": "Shape",
  80293. "pid": 39,
  80294. "tid": 0,
  80295. "ts": 1539815916965147,
  80296. "dur": 17,
  80297. "args": {
  80298. "name": "tower_1/training/TFOptimizer/gradients/tower_1/flatten/Reshape_grad/Shape",
  80299. "op": "Shape",
  80300. "input0": "tower_1/dropout_2/dropout/mul"
  80301. }
  80302. },
  80303. {
  80304. "ph": "X",
  80305. "cat": "Op",
  80306. "name": "Transpose",
  80307. "pid": 39,
  80308. "tid": 0,
  80309. "ts": 1539815916965167,
  80310. "dur": 28,
  80311. "args": {
  80312. "name": "tower_1/dropout_2/dropout/mul-0-0-TransposeNCHWToNHWC-LayoutOptimizer",
  80313. "op": "Transpose",
  80314. "input0": "tower_1/dropout_2/dropout/mul",
  80315. "input1": "PermConstNCHWToNHWC-LayoutOptimizer/_1391"
  80316. }
  80317. },
  80318. {
  80319. "ph": "s",
  80320. "cat": "DataFlow",
  80321. "name": "PermConstNCHWToNHWC-LayoutOptimizer",
  80322. "pid": 41,
  80323. "tid": 0,
  80324. "ts": 1539815912099168,
  80325. "id": 209
  80326. },
  80327. {
  80328. "ph": "t",
  80329. "cat": "DataFlow",
  80330. "name": "PermConstNCHWToNHWC-LayoutOptimizer",
  80331. "pid": 39,
  80332. "tid": 0,
  80333. "ts": 1539815916965167,
  80334. "id": 209
  80335. },
  80336. {
  80337. "ph": "X",
  80338. "cat": "Op",
  80339. "name": "DataFormatVecPermute",
  80340. "pid": 39,
  80341. "tid": 0,
  80342. "ts": 1539815916965201,
  80343. "dur": 31,
  80344. "args": {
  80345. "name": "tower_1/training/TFOptimizer/gradients/tower_1/flatten/Reshape_grad/Shape-0-1-VecPermuteNCHWToNHWC-LayoutOptimizer",
  80346. "op": "DataFormatVecPermute",
  80347. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/flatten/Reshape_grad/Shape"
  80348. }
  80349. },
  80350. {
  80351. "ph": "X",
  80352. "cat": "Op",
  80353. "name": "StridedSlice",
  80354. "pid": 39,
  80355. "tid": 0,
  80356. "ts": 1539815916965235,
  80357. "dur": 13,
  80358. "args": {
  80359. "name": "tower_1/flatten/strided_slice",
  80360. "op": "StridedSlice",
  80361. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/flatten/Reshape_grad/Shape-1-0-VecPermuteNCHWToNHWC-LayoutOptimizer",
  80362. "input1": "tower_1/metrics/sparse_categorical_accuracy/Const",
  80363. "input2": "tower_1/flatten/strided_slice/stack_1",
  80364. "input3": "tower_1/flatten/strided_slice/stack_1"
  80365. }
  80366. },
  80367. {
  80368. "ph": "X",
  80369. "cat": "Op",
  80370. "name": "Pack",
  80371. "pid": 39,
  80372. "tid": 0,
  80373. "ts": 1539815916965252,
  80374. "dur": 11,
  80375. "args": {
  80376. "name": "tower_1/flatten/Reshape/shape",
  80377. "op": "Pack",
  80378. "input0": "tower_1/flatten/strided_slice",
  80379. "input1": "tower_1/metrics/sparse_categorical_accuracy/Max/reduction_indices"
  80380. }
  80381. },
  80382. {
  80383. "ph": "X",
  80384. "cat": "Op",
  80385. "name": "Reshape",
  80386. "pid": 39,
  80387. "tid": 0,
  80388. "ts": 1539815916965266,
  80389. "dur": 8,
  80390. "args": {
  80391. "name": "tower_1/flatten/Reshape",
  80392. "op": "Reshape",
  80393. "input0": "tower_1/dropout_2/dropout/mul-0-0-TransposeNCHWToNHWC-LayoutOptimizer",
  80394. "input1": "tower_1/flatten/Reshape/shape"
  80395. }
  80396. },
  80397. {
  80398. "ph": "X",
  80399. "cat": "Op",
  80400. "name": "MatMul",
  80401. "pid": 39,
  80402. "tid": 0,
  80403. "ts": 1539815916965277,
  80404. "dur": 2741,
  80405. "args": {
  80406. "name": "tower_1/dense/MatMul",
  80407. "op": "MatMul",
  80408. "input0": "tower_1/flatten/Reshape",
  80409. "input1": "tower_1/dense/MatMul/ReadVariableOp"
  80410. }
  80411. },
  80412. {
  80413. "ph": "X",
  80414. "cat": "Op",
  80415. "name": "BiasAdd",
  80416. "pid": 39,
  80417. "tid": 0,
  80418. "ts": 1539815916968027,
  80419. "dur": 29,
  80420. "args": {
  80421. "name": "tower_1/dense/BiasAdd",
  80422. "op": "BiasAdd",
  80423. "input0": "tower_1/dense/MatMul",
  80424. "input1": "tower_1/dense/BiasAdd/ReadVariableOp"
  80425. }
  80426. },
  80427. {
  80428. "ph": "X",
  80429. "cat": "Op",
  80430. "name": "Elu",
  80431. "pid": 39,
  80432. "tid": 0,
  80433. "ts": 1539815916968059,
  80434. "dur": 21,
  80435. "args": {
  80436. "name": "tower_1/activation/Elu",
  80437. "op": "Elu",
  80438. "input0": "tower_1/dense/BiasAdd"
  80439. }
  80440. },
  80441. {
  80442. "ph": "X",
  80443. "cat": "Op",
  80444. "name": "Shape",
  80445. "pid": 39,
  80446. "tid": 0,
  80447. "ts": 1539815916968084,
  80448. "dur": 10,
  80449. "args": {
  80450. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_3/dropout/div_grad/Shape",
  80451. "op": "Shape",
  80452. "input0": "tower_1/activation/Elu"
  80453. }
  80454. },
  80455. {
  80456. "ph": "X",
  80457. "cat": "Op",
  80458. "name": "Mul",
  80459. "pid": 39,
  80460. "tid": 0,
  80461. "ts": 1539815916968097,
  80462. "dur": 26,
  80463. "args": {
  80464. "name": "tower_1/dropout_3/dropout/div",
  80465. "op": "Mul",
  80466. "input0": "tower_1/activation/Elu",
  80467. "input1": "ConstantFolding/tower_1/training/TFOptimizer/gradients/tower_1/dropout_3/dropout/div_grad/RealDiv_recip"
  80468. }
  80469. },
  80470. {
  80471. "ph": "X",
  80472. "cat": "Op",
  80473. "name": "BroadcastGradientArgs",
  80474. "pid": 39,
  80475. "tid": 0,
  80476. "ts": 1539815916968130,
  80477. "dur": 13,
  80478. "args": {
  80479. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_3/dropout/div_grad/BroadcastGradientArgs",
  80480. "op": "BroadcastGradientArgs",
  80481. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_3/dropout/div_grad/Shape",
  80482. "input1": "tower_1/training/TFOptimizer/gradients/tower_1/dropout/dropout/div_grad/Shape_1"
  80483. }
  80484. },
  80485. {
  80486. "ph": "X",
  80487. "cat": "Op",
  80488. "name": "RandomUniform",
  80489. "pid": 39,
  80490. "tid": 0,
  80491. "ts": 1539815916968147,
  80492. "dur": 25,
  80493. "args": {
  80494. "name": "tower_1/dropout_3/dropout/random_uniform/RandomUniform",
  80495. "op": "RandomUniform",
  80496. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_3/dropout/div_grad/Shape"
  80497. }
  80498. },
  80499. {
  80500. "ph": "X",
  80501. "cat": "Op",
  80502. "name": "Add",
  80503. "pid": 39,
  80504. "tid": 0,
  80505. "ts": 1539815916968178,
  80506. "dur": 23,
  80507. "args": {
  80508. "name": "tower_1/dropout_3/dropout/add",
  80509. "op": "Add",
  80510. "input0": "tower_1/dropout_3/dropout/keep_prob",
  80511. "input1": "tower_1/dropout_3/dropout/random_uniform/RandomUniform"
  80512. }
  80513. },
  80514. {
  80515. "ph": "X",
  80516. "cat": "Op",
  80517. "name": "Floor",
  80518. "pid": 39,
  80519. "tid": 0,
  80520. "ts": 1539815916968205,
  80521. "dur": 20,
  80522. "args": {
  80523. "name": "tower_1/dropout_3/dropout/Floor",
  80524. "op": "Floor",
  80525. "input0": "tower_1/dropout_3/dropout/add"
  80526. }
  80527. },
  80528. {
  80529. "ph": "X",
  80530. "cat": "Op",
  80531. "name": "Mul",
  80532. "pid": 39,
  80533. "tid": 0,
  80534. "ts": 1539815916968228,
  80535. "dur": 20,
  80536. "args": {
  80537. "name": "tower_1/dropout_3/dropout/mul",
  80538. "op": "Mul",
  80539. "input0": "tower_1/dropout_3/dropout/div",
  80540. "input1": "tower_1/dropout_3/dropout/Floor"
  80541. }
  80542. },
  80543. {
  80544. "ph": "X",
  80545. "cat": "Op",
  80546. "name": "MatMul",
  80547. "pid": 39,
  80548. "tid": 0,
  80549. "ts": 1539815916968251,
  80550. "dur": 33,
  80551. "args": {
  80552. "name": "tower_1/dense_1/MatMul",
  80553. "op": "MatMul",
  80554. "input0": "tower_1/dropout_3/dropout/mul",
  80555. "input1": "tower_1/dense_1/MatMul/ReadVariableOp"
  80556. }
  80557. },
  80558. {
  80559. "ph": "X",
  80560. "cat": "Op",
  80561. "name": "BiasAdd",
  80562. "pid": 39,
  80563. "tid": 0,
  80564. "ts": 1539815916968288,
  80565. "dur": 22,
  80566. "args": {
  80567. "name": "tower_1/dense_1/BiasAdd",
  80568. "op": "BiasAdd",
  80569. "input0": "tower_1/dense_1/MatMul",
  80570. "input1": "tower_1/dense_1/BiasAdd/ReadVariableOp"
  80571. }
  80572. },
  80573. {
  80574. "ph": "X",
  80575. "cat": "Op",
  80576. "name": "Softmax",
  80577. "pid": 39,
  80578. "tid": 0,
  80579. "ts": 1539815916968314,
  80580. "dur": 3111,
  80581. "args": {
  80582. "name": "tower_1/activation_1/Softmax",
  80583. "op": "Softmax",
  80584. "input0": "tower_1/dense_1/BiasAdd"
  80585. }
  80586. },
  80587. {
  80588. "ph": "X",
  80589. "cat": "Op",
  80590. "name": "LessEqual",
  80591. "pid": 39,
  80592. "tid": 0,
  80593. "ts": 1539815916971430,
  80594. "dur": 2666,
  80595. "args": {
  80596. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value/Minimum_grad/LessEqual",
  80597. "op": "LessEqual",
  80598. "input0": "tower_1/activation_1/Softmax",
  80599. "input1": "tower_1/loss/activation_1_loss/sub"
  80600. }
  80601. },
  80602. {
  80603. "ph": "X",
  80604. "cat": "Op",
  80605. "name": "Minimum",
  80606. "pid": 39,
  80607. "tid": 0,
  80608. "ts": 1539815916974103,
  80609. "dur": 53,
  80610. "args": {
  80611. "name": "tower_1/loss/activation_1_loss/clip_by_value/Minimum",
  80612. "op": "Minimum",
  80613. "input0": "tower_1/activation_1/Softmax",
  80614. "input1": "tower_1/loss/activation_1_loss/sub"
  80615. }
  80616. },
  80617. {
  80618. "ph": "X",
  80619. "cat": "Op",
  80620. "name": "Shape",
  80621. "pid": 39,
  80622. "tid": 0,
  80623. "ts": 1539815916974162,
  80624. "dur": 21,
  80625. "args": {
  80626. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value/Minimum_grad/Shape",
  80627. "op": "Shape",
  80628. "input0": "tower_1/activation_1/Softmax"
  80629. }
  80630. },
  80631. {
  80632. "ph": "X",
  80633. "cat": "Op",
  80634. "name": "GreaterEqual",
  80635. "pid": 39,
  80636. "tid": 0,
  80637. "ts": 1539815916974188,
  80638. "dur": 1589,
  80639. "args": {
  80640. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value_grad/GreaterEqual",
  80641. "op": "GreaterEqual",
  80642. "input0": "tower_1/loss/activation_1_loss/clip_by_value/Minimum",
  80643. "input1": "tower_1/loss/activation_1_loss/Const"
  80644. }
  80645. },
  80646. {
  80647. "ph": "X",
  80648. "cat": "Op",
  80649. "name": "Maximum",
  80650. "pid": 39,
  80651. "tid": 0,
  80652. "ts": 1539815916975782,
  80653. "dur": 68,
  80654. "args": {
  80655. "name": "tower_1/loss/activation_1_loss/clip_by_value",
  80656. "op": "Maximum",
  80657. "input0": "tower_1/loss/activation_1_loss/clip_by_value/Minimum",
  80658. "input1": "tower_1/loss/activation_1_loss/Const"
  80659. }
  80660. },
  80661. {
  80662. "ph": "X",
  80663. "cat": "Op",
  80664. "name": "Shape",
  80665. "pid": 39,
  80666. "tid": 0,
  80667. "ts": 1539815916975855,
  80668. "dur": 13,
  80669. "args": {
  80670. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value_grad/Shape",
  80671. "op": "Shape",
  80672. "input0": "tower_1/loss/activation_1_loss/clip_by_value/Minimum"
  80673. }
  80674. },
  80675. {
  80676. "ph": "X",
  80677. "cat": "Op",
  80678. "name": "BroadcastGradientArgs",
  80679. "pid": 39,
  80680. "tid": 0,
  80681. "ts": 1539815916975871,
  80682. "dur": 12,
  80683. "args": {
  80684. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value/Minimum_grad/BroadcastGradientArgs",
  80685. "op": "BroadcastGradientArgs",
  80686. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value/Minimum_grad/Shape",
  80687. "input1": "tower_1/training/TFOptimizer/gradients/tower_1/dropout/dropout/div_grad/Shape_1"
  80688. }
  80689. },
  80690. {
  80691. "ph": "X",
  80692. "cat": "Op",
  80693. "name": "Log",
  80694. "pid": 39,
  80695. "tid": 0,
  80696. "ts": 1539815916975886,
  80697. "dur": 27,
  80698. "args": {
  80699. "name": "tower_1/loss/activation_1_loss/Log",
  80700. "op": "Log",
  80701. "input0": "tower_1/loss/activation_1_loss/clip_by_value"
  80702. }
  80703. },
  80704. {
  80705. "ph": "X",
  80706. "cat": "Op",
  80707. "name": "BroadcastGradientArgs",
  80708. "pid": 39,
  80709. "tid": 0,
  80710. "ts": 1539815916975916,
  80711. "dur": 12,
  80712. "args": {
  80713. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value_grad/BroadcastGradientArgs",
  80714. "op": "BroadcastGradientArgs",
  80715. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value_grad/Shape",
  80716. "input1": "tower_1/training/TFOptimizer/gradients/tower_1/dropout/dropout/div_grad/Shape_1"
  80717. }
  80718. },
  80719. {
  80720. "ph": "X",
  80721. "cat": "Op",
  80722. "name": "SparseSoftmaxCrossEntropyWithLogits",
  80723. "pid": 39,
  80724. "tid": 0,
  80725. "ts": 1539815916975931,
  80726. "dur": 143,
  80727. "args": {
  80728. "name": "tower_1/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  80729. "op": "SparseSoftmaxCrossEntropyWithLogits",
  80730. "input0": "tower_1/loss/activation_1_loss/Log",
  80731. "input1": "tower_1/loss/activation_1_loss/Cast"
  80732. }
  80733. },
  80734. {
  80735. "ph": "s",
  80736. "cat": "DataFlow",
  80737. "name": "tower_1/loss/activation_1_loss/Cast",
  80738. "pid": 39,
  80739. "tid": 2,
  80740. "ts": 1539815912107445,
  80741. "id": 210
  80742. },
  80743. {
  80744. "ph": "t",
  80745. "cat": "DataFlow",
  80746. "name": "tower_1/loss/activation_1_loss/Cast",
  80747. "pid": 39,
  80748. "tid": 0,
  80749. "ts": 1539815916975931,
  80750. "id": 210
  80751. },
  80752. {
  80753. "ph": "X",
  80754. "cat": "Op",
  80755. "name": "Mean",
  80756. "pid": 39,
  80757. "tid": 0,
  80758. "ts": 1539815916976078,
  80759. "dur": 6156,
  80760. "args": {
  80761. "name": "tower_1/loss/activation_1_loss/Mean",
  80762. "op": "Mean",
  80763. "input0": "tower_1/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  80764. "input1": "tower_1/metrics/sparse_categorical_accuracy/Const"
  80765. }
  80766. },
  80767. {
  80768. "ph": "X",
  80769. "cat": "Op",
  80770. "name": "Shape",
  80771. "pid": 39,
  80772. "tid": 0,
  80773. "ts": 1539815916982239,
  80774. "dur": 19,
  80775. "args": {
  80776. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/Mean_grad/Shape",
  80777. "op": "Shape",
  80778. "input0": "tower_1/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits"
  80779. }
  80780. },
  80781. {
  80782. "ph": "X",
  80783. "cat": "Op",
  80784. "name": "Const",
  80785. "pid": 39,
  80786. "tid": 0,
  80787. "ts": 1539815916982261,
  80788. "dur": 7,
  80789. "args": {
  80790. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/Mean_grad/Reshape",
  80791. "op": "Const",
  80792. "input0": "^tower_1/loss/activation_1_loss/Mean"
  80793. }
  80794. },
  80795. {
  80796. "ph": "X",
  80797. "cat": "Op",
  80798. "name": "Size",
  80799. "pid": 39,
  80800. "tid": 0,
  80801. "ts": 1539815916982346,
  80802. "dur": 14,
  80803. "args": {
  80804. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/Mean_grad/Prod",
  80805. "op": "Size",
  80806. "input0": "tower_1/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  80807. "input1": "^tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/Mean_grad/Shape"
  80808. }
  80809. },
  80810. {
  80811. "ph": "X",
  80812. "cat": "Op",
  80813. "name": "Tile",
  80814. "pid": 39,
  80815. "tid": 0,
  80816. "ts": 1539815916982363,
  80817. "dur": 1383,
  80818. "args": {
  80819. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/Mean_grad/Tile",
  80820. "op": "Tile",
  80821. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/Mean_grad/Reshape",
  80822. "input1": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/Mean_grad/Shape"
  80823. }
  80824. },
  80825. {
  80826. "ph": "X",
  80827. "cat": "Op",
  80828. "name": "Cast",
  80829. "pid": 39,
  80830. "tid": 0,
  80831. "ts": 1539815916983880,
  80832. "dur": 40,
  80833. "args": {
  80834. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/Mean_grad/Cast",
  80835. "op": "Cast",
  80836. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/Mean_grad/Prod/_1407"
  80837. }
  80838. },
  80839. {
  80840. "ph": "X",
  80841. "cat": "Op",
  80842. "name": "RealDiv",
  80843. "pid": 39,
  80844. "tid": 0,
  80845. "ts": 1539815916983924,
  80846. "dur": 1617,
  80847. "args": {
  80848. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/Mean_grad/truediv",
  80849. "op": "RealDiv",
  80850. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/Mean_grad/Tile",
  80851. "input1": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/Mean_grad/Cast"
  80852. }
  80853. },
  80854. {
  80855. "ph": "X",
  80856. "cat": "Op",
  80857. "name": "ExpandDims",
  80858. "pid": 39,
  80859. "tid": 0,
  80860. "ts": 1539815916985546,
  80861. "dur": 50,
  80862. "args": {
  80863. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits_grad/ExpandDims",
  80864. "op": "ExpandDims",
  80865. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/Mean_grad/truediv",
  80866. "input1": "tower_1/metrics/sparse_categorical_accuracy/Max/reduction_indices"
  80867. }
  80868. },
  80869. {
  80870. "ph": "X",
  80871. "cat": "Op",
  80872. "name": "Mul",
  80873. "pid": 39,
  80874. "tid": 0,
  80875. "ts": 1539815916985600,
  80876. "dur": 862,
  80877. "args": {
  80878. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits_grad/mul",
  80879. "op": "Mul",
  80880. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits_grad/ExpandDims",
  80881. "input1": "tower_1/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits:1"
  80882. }
  80883. },
  80884. {
  80885. "ph": "X",
  80886. "cat": "Op",
  80887. "name": "Reciprocal",
  80888. "pid": 39,
  80889. "tid": 0,
  80890. "ts": 1539815916986474,
  80891. "dur": 45,
  80892. "args": {
  80893. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/Log_grad/Reciprocal",
  80894. "op": "Reciprocal",
  80895. "input0": "tower_1/loss/activation_1_loss/clip_by_value",
  80896. "input1": "^tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits_grad/mul"
  80897. }
  80898. },
  80899. {
  80900. "ph": "X",
  80901. "cat": "Op",
  80902. "name": "Mul",
  80903. "pid": 39,
  80904. "tid": 0,
  80905. "ts": 1539815916986523,
  80906. "dur": 25,
  80907. "args": {
  80908. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/Log_grad/mul",
  80909. "op": "Mul",
  80910. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits_grad/mul",
  80911. "input1": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/Log_grad/Reciprocal"
  80912. }
  80913. },
  80914. {
  80915. "ph": "X",
  80916. "cat": "Op",
  80917. "name": "Shape",
  80918. "pid": 39,
  80919. "tid": 0,
  80920. "ts": 1539815916986597,
  80921. "dur": 18,
  80922. "args": {
  80923. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value_grad/Shape_2",
  80924. "op": "Shape",
  80925. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/Log_grad/mul"
  80926. }
  80927. },
  80928. {
  80929. "ph": "X",
  80930. "cat": "Op",
  80931. "name": "Fill",
  80932. "pid": 39,
  80933. "tid": 0,
  80934. "ts": 1539815916986618,
  80935. "dur": 33,
  80936. "args": {
  80937. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value_grad/zeros",
  80938. "op": "Fill",
  80939. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value_grad/Shape_2",
  80940. "input1": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value/Minimum_grad/zeros/Const"
  80941. }
  80942. },
  80943. {
  80944. "ph": "X",
  80945. "cat": "Op",
  80946. "name": "Select",
  80947. "pid": 39,
  80948. "tid": 0,
  80949. "ts": 1539815916986654,
  80950. "dur": 62,
  80951. "args": {
  80952. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value_grad/Select",
  80953. "op": "Select",
  80954. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value_grad/GreaterEqual",
  80955. "input1": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/Log_grad/mul",
  80956. "input2": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value_grad/zeros"
  80957. }
  80958. },
  80959. {
  80960. "ph": "X",
  80961. "cat": "Op",
  80962. "name": "Sum",
  80963. "pid": 39,
  80964. "tid": 0,
  80965. "ts": 1539815916986721,
  80966. "dur": 4071,
  80967. "args": {
  80968. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value_grad/Sum",
  80969. "op": "Sum",
  80970. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value_grad/Select",
  80971. "input1": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value_grad/BroadcastGradientArgs"
  80972. }
  80973. },
  80974. {
  80975. "ph": "X",
  80976. "cat": "Op",
  80977. "name": "Reshape",
  80978. "pid": 39,
  80979. "tid": 0,
  80980. "ts": 1539815916990796,
  80981. "dur": 21,
  80982. "args": {
  80983. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value_grad/Reshape",
  80984. "op": "Reshape",
  80985. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value_grad/Sum",
  80986. "input1": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value_grad/Shape"
  80987. }
  80988. },
  80989. {
  80990. "ph": "X",
  80991. "cat": "Op",
  80992. "name": "Shape",
  80993. "pid": 39,
  80994. "tid": 0,
  80995. "ts": 1539815916990820,
  80996. "dur": 9,
  80997. "args": {
  80998. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value/Minimum_grad/Shape_2",
  80999. "op": "Shape",
  81000. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value_grad/Reshape"
  81001. }
  81002. },
  81003. {
  81004. "ph": "X",
  81005. "cat": "Op",
  81006. "name": "Fill",
  81007. "pid": 39,
  81008. "tid": 0,
  81009. "ts": 1539815916990832,
  81010. "dur": 59,
  81011. "args": {
  81012. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value/Minimum_grad/zeros",
  81013. "op": "Fill",
  81014. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value/Minimum_grad/Shape_2",
  81015. "input1": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value/Minimum_grad/zeros/Const"
  81016. }
  81017. },
  81018. {
  81019. "ph": "X",
  81020. "cat": "Op",
  81021. "name": "Select",
  81022. "pid": 39,
  81023. "tid": 0,
  81024. "ts": 1539815916990895,
  81025. "dur": 31,
  81026. "args": {
  81027. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value/Minimum_grad/Select",
  81028. "op": "Select",
  81029. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value/Minimum_grad/LessEqual",
  81030. "input1": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value_grad/Reshape",
  81031. "input2": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value/Minimum_grad/zeros"
  81032. }
  81033. },
  81034. {
  81035. "ph": "X",
  81036. "cat": "Op",
  81037. "name": "Sum",
  81038. "pid": 39,
  81039. "tid": 0,
  81040. "ts": 1539815916990930,
  81041. "dur": 27,
  81042. "args": {
  81043. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value/Minimum_grad/Sum",
  81044. "op": "Sum",
  81045. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value/Minimum_grad/Select",
  81046. "input1": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value/Minimum_grad/BroadcastGradientArgs"
  81047. }
  81048. },
  81049. {
  81050. "ph": "X",
  81051. "cat": "Op",
  81052. "name": "Reshape",
  81053. "pid": 39,
  81054. "tid": 0,
  81055. "ts": 1539815916990985,
  81056. "dur": 9,
  81057. "args": {
  81058. "name": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value/Minimum_grad/Reshape",
  81059. "op": "Reshape",
  81060. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value/Minimum_grad/Sum",
  81061. "input1": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value/Minimum_grad/Shape"
  81062. }
  81063. },
  81064. {
  81065. "ph": "X",
  81066. "cat": "Op",
  81067. "name": "Mul",
  81068. "pid": 39,
  81069. "tid": 0,
  81070. "ts": 1539815916990998,
  81071. "dur": 28,
  81072. "args": {
  81073. "name": "tower_1/training/TFOptimizer/gradients/tower_1/activation_1/Softmax_grad/mul",
  81074. "op": "Mul",
  81075. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value/Minimum_grad/Reshape",
  81076. "input1": "tower_1/activation_1/Softmax",
  81077. "input2": "^tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value/Minimum_grad/zeros",
  81078. "input3": "^tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value/Minimum_grad/LessEqual"
  81079. }
  81080. },
  81081. {
  81082. "ph": "X",
  81083. "cat": "Op",
  81084. "name": "Sum",
  81085. "pid": 39,
  81086. "tid": 0,
  81087. "ts": 1539815916991035,
  81088. "dur": 70,
  81089. "args": {
  81090. "name": "tower_1/training/TFOptimizer/gradients/tower_1/activation_1/Softmax_grad/Sum",
  81091. "op": "Sum",
  81092. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/activation_1/Softmax_grad/mul",
  81093. "input1": "tower_1/metrics/sparse_categorical_accuracy/Max/reduction_indices"
  81094. }
  81095. },
  81096. {
  81097. "ph": "X",
  81098. "cat": "Op",
  81099. "name": "Sub",
  81100. "pid": 39,
  81101. "tid": 0,
  81102. "ts": 1539815916991108,
  81103. "dur": 65,
  81104. "args": {
  81105. "name": "tower_1/training/TFOptimizer/gradients/tower_1/activation_1/Softmax_grad/sub",
  81106. "op": "Sub",
  81107. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/clip_by_value/Minimum_grad/Reshape",
  81108. "input1": "tower_1/training/TFOptimizer/gradients/tower_1/activation_1/Softmax_grad/Sum"
  81109. }
  81110. },
  81111. {
  81112. "ph": "X",
  81113. "cat": "Op",
  81114. "name": "Mul",
  81115. "pid": 39,
  81116. "tid": 0,
  81117. "ts": 1539815916991178,
  81118. "dur": 72,
  81119. "args": {
  81120. "name": "tower_1/training/TFOptimizer/gradients/tower_1/activation_1/Softmax_grad/mul_1",
  81121. "op": "Mul",
  81122. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/activation_1/Softmax_grad/sub",
  81123. "input1": "tower_1/activation_1/Softmax"
  81124. }
  81125. },
  81126. {
  81127. "ph": "X",
  81128. "cat": "Op",
  81129. "name": "BiasAddGrad",
  81130. "pid": 39,
  81131. "tid": 0,
  81132. "ts": 1539815916991254,
  81133. "dur": 131,
  81134. "args": {
  81135. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dense_1/BiasAdd_grad/BiasAddGrad",
  81136. "op": "BiasAddGrad",
  81137. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/activation_1/Softmax_grad/mul_1"
  81138. }
  81139. },
  81140. {
  81141. "ph": "X",
  81142. "cat": "Op",
  81143. "name": "MatMul",
  81144. "pid": 39,
  81145. "tid": 0,
  81146. "ts": 1539815916991389,
  81147. "dur": 41,
  81148. "args": {
  81149. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dense_1/MatMul_grad/MatMul",
  81150. "op": "MatMul",
  81151. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/activation_1/Softmax_grad/mul_1",
  81152. "input1": "tower_1/dense_1/MatMul/ReadVariableOp",
  81153. "input2": "^tower_1/training/TFOptimizer/gradients/tower_1/dense_1/BiasAdd_grad/BiasAddGrad"
  81154. }
  81155. },
  81156. {
  81157. "ph": "X",
  81158. "cat": "Op",
  81159. "name": "MatMul",
  81160. "pid": 39,
  81161. "tid": 0,
  81162. "ts": 1539815916991438,
  81163. "dur": 49,
  81164. "args": {
  81165. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dense_1/MatMul_grad/MatMul_1",
  81166. "op": "MatMul",
  81167. "input0": "tower_1/dropout_3/dropout/mul",
  81168. "input1": "tower_1/training/TFOptimizer/gradients/tower_1/activation_1/Softmax_grad/mul_1",
  81169. "input2": "^tower_1/training/TFOptimizer/gradients/tower_1/dense_1/BiasAdd_grad/BiasAddGrad"
  81170. }
  81171. },
  81172. {
  81173. "ph": "X",
  81174. "cat": "Op",
  81175. "name": "Reshape",
  81176. "pid": 39,
  81177. "tid": 0,
  81178. "ts": 1539815916991491,
  81179. "dur": 9,
  81180. "args": {
  81181. "name": "training/TFOptimizer/Reshape_30",
  81182. "op": "Reshape",
  81183. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/dense_1/MatMul_grad/MatMul_1",
  81184. "input1": "training/TFOptimizer/Reshape_16/shape",
  81185. "input2": "^tower_1/training/TFOptimizer/gradients/tower_1/dense_1/MatMul_grad/MatMul"
  81186. }
  81187. },
  81188. {
  81189. "ph": "X",
  81190. "cat": "Op",
  81191. "name": "Mul",
  81192. "pid": 39,
  81193. "tid": 0,
  81194. "ts": 1539815916991502,
  81195. "dur": 27,
  81196. "args": {
  81197. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_3/dropout/mul_grad/Mul",
  81198. "op": "Mul",
  81199. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/dense_1/MatMul_grad/MatMul",
  81200. "input1": "tower_1/dropout_3/dropout/Floor",
  81201. "input2": "^tower_1/training/TFOptimizer/gradients/tower_1/dense_1/MatMul_grad/MatMul_1"
  81202. }
  81203. },
  81204. {
  81205. "ph": "X",
  81206. "cat": "Op",
  81207. "name": "Mul",
  81208. "pid": 39,
  81209. "tid": 0,
  81210. "ts": 1539815916991538,
  81211. "dur": 25,
  81212. "args": {
  81213. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_3/dropout/div_grad/RealDiv",
  81214. "op": "Mul",
  81215. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_3/dropout/mul_grad/Mul",
  81216. "input1": "ConstantFolding/tower_1/training/TFOptimizer/gradients/tower_1/dropout_3/dropout/div_grad/RealDiv_recip"
  81217. }
  81218. },
  81219. {
  81220. "ph": "X",
  81221. "cat": "Op",
  81222. "name": "Sum",
  81223. "pid": 39,
  81224. "tid": 0,
  81225. "ts": 1539815916991569,
  81226. "dur": 7,
  81227. "args": {
  81228. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_3/dropout/div_grad/Sum",
  81229. "op": "Sum",
  81230. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_3/dropout/div_grad/RealDiv",
  81231. "input1": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_3/dropout/div_grad/BroadcastGradientArgs"
  81232. }
  81233. },
  81234. {
  81235. "ph": "X",
  81236. "cat": "Op",
  81237. "name": "Reshape",
  81238. "pid": 39,
  81239. "tid": 0,
  81240. "ts": 1539815916991579,
  81241. "dur": 12,
  81242. "args": {
  81243. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_3/dropout/div_grad/Reshape",
  81244. "op": "Reshape",
  81245. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_3/dropout/div_grad/Sum",
  81246. "input1": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_3/dropout/div_grad/Shape"
  81247. }
  81248. },
  81249. {
  81250. "ph": "X",
  81251. "cat": "Op",
  81252. "name": "EluGrad",
  81253. "pid": 39,
  81254. "tid": 0,
  81255. "ts": 1539815916991594,
  81256. "dur": 33,
  81257. "args": {
  81258. "name": "tower_1/training/TFOptimizer/gradients/tower_1/activation/Elu_grad/EluGrad",
  81259. "op": "EluGrad",
  81260. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_3/dropout/div_grad/Reshape",
  81261. "input1": "tower_1/activation/Elu"
  81262. }
  81263. },
  81264. {
  81265. "ph": "X",
  81266. "cat": "Op",
  81267. "name": "BiasAddGrad",
  81268. "pid": 39,
  81269. "tid": 0,
  81270. "ts": 1539815916991630,
  81271. "dur": 118,
  81272. "args": {
  81273. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dense/BiasAdd_grad/BiasAddGrad",
  81274. "op": "BiasAddGrad",
  81275. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/activation/Elu_grad/EluGrad"
  81276. }
  81277. },
  81278. {
  81279. "ph": "X",
  81280. "cat": "Op",
  81281. "name": "MatMul",
  81282. "pid": 39,
  81283. "tid": 0,
  81284. "ts": 1539815916991752,
  81285. "dur": 33,
  81286. "args": {
  81287. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dense/MatMul_grad/MatMul",
  81288. "op": "MatMul",
  81289. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/activation/Elu_grad/EluGrad",
  81290. "input1": "tower_1/dense/MatMul/ReadVariableOp",
  81291. "input2": "^tower_1/training/TFOptimizer/gradients/tower_1/dense/BiasAdd_grad/BiasAddGrad"
  81292. }
  81293. },
  81294. {
  81295. "ph": "X",
  81296. "cat": "Op",
  81297. "name": "MatMul",
  81298. "pid": 39,
  81299. "tid": 0,
  81300. "ts": 1539815916991797,
  81301. "dur": 35,
  81302. "args": {
  81303. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dense/MatMul_grad/MatMul_1",
  81304. "op": "MatMul",
  81305. "input0": "tower_1/flatten/Reshape",
  81306. "input1": "tower_1/training/TFOptimizer/gradients/tower_1/activation/Elu_grad/EluGrad",
  81307. "input2": "^tower_1/training/TFOptimizer/gradients/tower_1/dense/BiasAdd_grad/BiasAddGrad"
  81308. }
  81309. },
  81310. {
  81311. "ph": "X",
  81312. "cat": "Op",
  81313. "name": "Reshape",
  81314. "pid": 39,
  81315. "tid": 0,
  81316. "ts": 1539815916991838,
  81317. "dur": 9,
  81318. "args": {
  81319. "name": "tower_1/training/TFOptimizer/gradients/tower_1/flatten/Reshape_grad/Reshape",
  81320. "op": "Reshape",
  81321. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/dense/MatMul_grad/MatMul",
  81322. "input1": "tower_1/training/TFOptimizer/gradients/tower_1/flatten/Reshape_grad/Shape-0-1-VecPermuteNCHWToNHWC-LayoutOptimizer",
  81323. "input2": "^tower_1/training/TFOptimizer/gradients/tower_1/dense/MatMul_grad/MatMul_1"
  81324. }
  81325. },
  81326. {
  81327. "ph": "X",
  81328. "cat": "Op",
  81329. "name": "Reshape",
  81330. "pid": 39,
  81331. "tid": 0,
  81332. "ts": 1539815916991901,
  81333. "dur": 9,
  81334. "args": {
  81335. "name": "training/TFOptimizer/Reshape_28",
  81336. "op": "Reshape",
  81337. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/dense/MatMul_grad/MatMul_1",
  81338. "input1": "training/TFOptimizer/Reshape_16/shape",
  81339. "input2": "^tower_1/training/TFOptimizer/gradients/tower_1/dense/MatMul_grad/MatMul"
  81340. }
  81341. },
  81342. {
  81343. "ph": "X",
  81344. "cat": "Op",
  81345. "name": "Mul",
  81346. "pid": 39,
  81347. "tid": 0,
  81348. "ts": 1539815916991913,
  81349. "dur": 31,
  81350. "args": {
  81351. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_2/dropout/mul_grad/Mul",
  81352. "op": "Mul",
  81353. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/flatten/Reshape_grad/Reshape",
  81354. "input1": "tower_1/dropout_2/dropout/Floor"
  81355. }
  81356. },
  81357. {
  81358. "ph": "X",
  81359. "cat": "Op",
  81360. "name": "Mul",
  81361. "pid": 39,
  81362. "tid": 0,
  81363. "ts": 1539815916991948,
  81364. "dur": 30,
  81365. "args": {
  81366. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_2/dropout/div_grad/RealDiv",
  81367. "op": "Mul",
  81368. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_2/dropout/mul_grad/Mul",
  81369. "input1": "ConstantFolding/tower_1/training/TFOptimizer/gradients/tower_1/dropout/dropout/div_grad/RealDiv_recip"
  81370. }
  81371. },
  81372. {
  81373. "ph": "X",
  81374. "cat": "Op",
  81375. "name": "Sum",
  81376. "pid": 39,
  81377. "tid": 0,
  81378. "ts": 1539815916991982,
  81379. "dur": 7,
  81380. "args": {
  81381. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_2/dropout/div_grad/Sum",
  81382. "op": "Sum",
  81383. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_2/dropout/div_grad/RealDiv",
  81384. "input1": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_2/dropout/div_grad/BroadcastGradientArgs"
  81385. }
  81386. },
  81387. {
  81388. "ph": "X",
  81389. "cat": "Op",
  81390. "name": "Reshape",
  81391. "pid": 39,
  81392. "tid": 0,
  81393. "ts": 1539815916991992,
  81394. "dur": 11,
  81395. "args": {
  81396. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_2/dropout/div_grad/Reshape",
  81397. "op": "Reshape",
  81398. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_2/dropout/div_grad/Sum",
  81399. "input1": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_2/dropout/div_grad/Shape-2-1-VecPermuteNCHWToNHWC-LayoutOptimizer"
  81400. }
  81401. },
  81402. {
  81403. "ph": "X",
  81404. "cat": "Op",
  81405. "name": "Transpose",
  81406. "pid": 39,
  81407. "tid": 0,
  81408. "ts": 1539815916992007,
  81409. "dur": 32,
  81410. "args": {
  81411. "name": "tower_1/training/TFOptimizer/gradients/tower_1/max_pooling2d_2/MaxPool_grad/MaxPoolGrad-2-TransposeNHWCToNCHW-LayoutOptimizer",
  81412. "op": "Transpose",
  81413. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_2/dropout/div_grad/Reshape",
  81414. "input1": "PermConstNHWCToNCHW-LayoutOptimizer/_1385"
  81415. }
  81416. },
  81417. {
  81418. "ph": "s",
  81419. "cat": "DataFlow",
  81420. "name": "PermConstNHWCToNCHW-LayoutOptimizer",
  81421. "pid": 41,
  81422. "tid": 0,
  81423. "ts": 1539815912099159,
  81424. "id": 211
  81425. },
  81426. {
  81427. "ph": "t",
  81428. "cat": "DataFlow",
  81429. "name": "PermConstNHWCToNCHW-LayoutOptimizer",
  81430. "pid": 39,
  81431. "tid": 0,
  81432. "ts": 1539815916992007,
  81433. "id": 211
  81434. },
  81435. {
  81436. "ph": "X",
  81437. "cat": "Op",
  81438. "name": "MaxPoolGrad",
  81439. "pid": 39,
  81440. "tid": 0,
  81441. "ts": 1539815916992046,
  81442. "dur": 1594,
  81443. "args": {
  81444. "name": "tower_1/training/TFOptimizer/gradients/tower_1/max_pooling2d_2/MaxPool_grad/MaxPoolGrad",
  81445. "op": "MaxPoolGrad",
  81446. "input0": "tower_1/conv2d_2/Elu",
  81447. "input1": "tower_1/max_pooling2d_2/MaxPool",
  81448. "input2": "tower_1/training/TFOptimizer/gradients/tower_1/max_pooling2d_2/MaxPool_grad/MaxPoolGrad-2-TransposeNHWCToNCHW-LayoutOptimizer"
  81449. }
  81450. },
  81451. {
  81452. "ph": "X",
  81453. "cat": "Op",
  81454. "name": "EluGrad",
  81455. "pid": 39,
  81456. "tid": 0,
  81457. "ts": 1539815916993648,
  81458. "dur": 31,
  81459. "args": {
  81460. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Elu_grad/EluGrad",
  81461. "op": "EluGrad",
  81462. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/max_pooling2d_2/MaxPool_grad/MaxPoolGrad",
  81463. "input1": "tower_1/conv2d_2/Elu"
  81464. }
  81465. },
  81466. {
  81467. "ph": "X",
  81468. "cat": "Op",
  81469. "name": "BiasAddGrad",
  81470. "pid": 39,
  81471. "tid": 0,
  81472. "ts": 1539815916993683,
  81473. "dur": 373,
  81474. "args": {
  81475. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/BiasAdd_grad/BiasAddGrad",
  81476. "op": "BiasAddGrad",
  81477. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Elu_grad/EluGrad"
  81478. }
  81479. },
  81480. {
  81481. "ph": "X",
  81482. "cat": "Op",
  81483. "name": "Conv2DBackpropFilter",
  81484. "pid": 39,
  81485. "tid": 0,
  81486. "ts": 1539815916994065,
  81487. "dur": 20525,
  81488. "args": {
  81489. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  81490. "op": "Conv2DBackpropFilter",
  81491. "input0": "tower_1/batch_normalization_2/FusedBatchNorm",
  81492. "input1": "ConstantFolding/tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/ShapeN-matshapes-1",
  81493. "input2": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Elu_grad/EluGrad",
  81494. "input3": "^tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/BiasAdd_grad/BiasAddGrad"
  81495. }
  81496. },
  81497. {
  81498. "ph": "X",
  81499. "cat": "Op",
  81500. "name": "Conv2DBackpropInput",
  81501. "pid": 39,
  81502. "tid": 0,
  81503. "ts": 1539815917014601,
  81504. "dur": 22088,
  81505. "args": {
  81506. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  81507. "op": "Conv2DBackpropInput",
  81508. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/ShapeN",
  81509. "input1": "tower_1/conv2d_2/Conv2D/ReadVariableOp",
  81510. "input2": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Elu_grad/EluGrad",
  81511. "input3": "^tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/BiasAdd_grad/BiasAddGrad"
  81512. }
  81513. },
  81514. {
  81515. "ph": "X",
  81516. "cat": "Op",
  81517. "name": "FusedBatchNormGrad",
  81518. "pid": 39,
  81519. "tid": 0,
  81520. "ts": 1539815917036700,
  81521. "dur": 95,
  81522. "args": {
  81523. "name": "tower_1/training/TFOptimizer/gradients/tower_1/batch_normalization_2/FusedBatchNorm_grad/FusedBatchNormGrad",
  81524. "op": "FusedBatchNormGrad",
  81525. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  81526. "input1": "tower_1/dropout_1/dropout/mul",
  81527. "input2": "tower_1/batch_normalization_2/ReadVariableOp",
  81528. "input3": "tower_1/batch_normalization_2/FusedBatchNorm:3",
  81529. "input4": "tower_1/batch_normalization_2/FusedBatchNorm:4",
  81530. "input5": "^tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter"
  81531. }
  81532. },
  81533. {
  81534. "ph": "X",
  81535. "cat": "Op",
  81536. "name": "Reshape",
  81537. "pid": 39,
  81538. "tid": 0,
  81539. "ts": 1539815917036804,
  81540. "dur": 9,
  81541. "args": {
  81542. "name": "training/TFOptimizer/Reshape_26",
  81543. "op": "Reshape",
  81544. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  81545. "input1": "training/TFOptimizer/Reshape_16/shape",
  81546. "input2": "^tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput"
  81547. }
  81548. },
  81549. {
  81550. "ph": "X",
  81551. "cat": "Op",
  81552. "name": "Mul",
  81553. "pid": 39,
  81554. "tid": 0,
  81555. "ts": 1539815917036826,
  81556. "dur": 31,
  81557. "args": {
  81558. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_1/dropout/mul_grad/Mul",
  81559. "op": "Mul",
  81560. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/batch_normalization_2/FusedBatchNorm_grad/FusedBatchNormGrad",
  81561. "input1": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_1/dropout/mul_grad/Mul-1-TransposeNHWCToNCHW-LayoutOptimizer"
  81562. }
  81563. },
  81564. {
  81565. "ph": "X",
  81566. "cat": "Op",
  81567. "name": "Mul",
  81568. "pid": 39,
  81569. "tid": 0,
  81570. "ts": 1539815917036862,
  81571. "dur": 23,
  81572. "args": {
  81573. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_1/dropout/div_grad/RealDiv",
  81574. "op": "Mul",
  81575. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_1/dropout/mul_grad/Mul",
  81576. "input1": "ConstantFolding/tower_1/training/TFOptimizer/gradients/tower_1/dropout/dropout/div_grad/RealDiv_recip"
  81577. }
  81578. },
  81579. {
  81580. "ph": "X",
  81581. "cat": "Op",
  81582. "name": "Transpose",
  81583. "pid": 39,
  81584. "tid": 0,
  81585. "ts": 1539815917036894,
  81586. "dur": 31,
  81587. "args": {
  81588. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_1/dropout/div_grad/RealDiv-0-0-TransposeNCHWToNHWC-LayoutOptimizer",
  81589. "op": "Transpose",
  81590. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_1/dropout/div_grad/RealDiv",
  81591. "input1": "PermConstNCHWToNHWC-LayoutOptimizer/_1391"
  81592. }
  81593. },
  81594. {
  81595. "ph": "s",
  81596. "cat": "DataFlow",
  81597. "name": "PermConstNCHWToNHWC-LayoutOptimizer",
  81598. "pid": 41,
  81599. "tid": 0,
  81600. "ts": 1539815912099168,
  81601. "id": 212
  81602. },
  81603. {
  81604. "ph": "t",
  81605. "cat": "DataFlow",
  81606. "name": "PermConstNCHWToNHWC-LayoutOptimizer",
  81607. "pid": 39,
  81608. "tid": 0,
  81609. "ts": 1539815917036894,
  81610. "id": 212
  81611. },
  81612. {
  81613. "ph": "X",
  81614. "cat": "Op",
  81615. "name": "Sum",
  81616. "pid": 39,
  81617. "tid": 0,
  81618. "ts": 1539815917036932,
  81619. "dur": 8,
  81620. "args": {
  81621. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_1/dropout/div_grad/Sum",
  81622. "op": "Sum",
  81623. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_1/dropout/div_grad/RealDiv-0-0-TransposeNCHWToNHWC-LayoutOptimizer",
  81624. "input1": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_1/dropout/div_grad/BroadcastGradientArgs"
  81625. }
  81626. },
  81627. {
  81628. "ph": "X",
  81629. "cat": "Op",
  81630. "name": "Reshape",
  81631. "pid": 39,
  81632. "tid": 0,
  81633. "ts": 1539815917036948,
  81634. "dur": 7,
  81635. "args": {
  81636. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_1/dropout/div_grad/Reshape",
  81637. "op": "Reshape",
  81638. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_1/dropout/div_grad/Sum",
  81639. "input1": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_1/dropout/div_grad/Shape-0-1-VecPermuteNCHWToNHWC-LayoutOptimizer"
  81640. }
  81641. },
  81642. {
  81643. "ph": "X",
  81644. "cat": "Op",
  81645. "name": "Transpose",
  81646. "pid": 39,
  81647. "tid": 0,
  81648. "ts": 1539815917036958,
  81649. "dur": 29,
  81650. "args": {
  81651. "name": "tower_1/training/TFOptimizer/gradients/tower_1/max_pooling2d_1/MaxPool_grad/MaxPoolGrad-2-TransposeNHWCToNCHW-LayoutOptimizer",
  81652. "op": "Transpose",
  81653. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/dropout_1/dropout/div_grad/Reshape",
  81654. "input1": "PermConstNHWCToNCHW-LayoutOptimizer/_1385"
  81655. }
  81656. },
  81657. {
  81658. "ph": "s",
  81659. "cat": "DataFlow",
  81660. "name": "PermConstNHWCToNCHW-LayoutOptimizer",
  81661. "pid": 41,
  81662. "tid": 0,
  81663. "ts": 1539815912099159,
  81664. "id": 213
  81665. },
  81666. {
  81667. "ph": "t",
  81668. "cat": "DataFlow",
  81669. "name": "PermConstNHWCToNCHW-LayoutOptimizer",
  81670. "pid": 39,
  81671. "tid": 0,
  81672. "ts": 1539815917036958,
  81673. "id": 213
  81674. },
  81675. {
  81676. "ph": "X",
  81677. "cat": "Op",
  81678. "name": "MaxPoolGrad",
  81679. "pid": 39,
  81680. "tid": 0,
  81681. "ts": 1539815917036997,
  81682. "dur": 47,
  81683. "args": {
  81684. "name": "tower_1/training/TFOptimizer/gradients/tower_1/max_pooling2d_1/MaxPool_grad/MaxPoolGrad",
  81685. "op": "MaxPoolGrad",
  81686. "input0": "tower_1/conv2d_1/Elu",
  81687. "input1": "tower_1/max_pooling2d_1/MaxPool",
  81688. "input2": "tower_1/training/TFOptimizer/gradients/tower_1/max_pooling2d_1/MaxPool_grad/MaxPoolGrad-2-TransposeNHWCToNCHW-LayoutOptimizer"
  81689. }
  81690. },
  81691. {
  81692. "ph": "X",
  81693. "cat": "Op",
  81694. "name": "EluGrad",
  81695. "pid": 39,
  81696. "tid": 0,
  81697. "ts": 1539815917037052,
  81698. "dur": 27,
  81699. "args": {
  81700. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Elu_grad/EluGrad",
  81701. "op": "EluGrad",
  81702. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/max_pooling2d_1/MaxPool_grad/MaxPoolGrad",
  81703. "input1": "tower_1/conv2d_1/Elu"
  81704. }
  81705. },
  81706. {
  81707. "ph": "X",
  81708. "cat": "Op",
  81709. "name": "BiasAddGrad",
  81710. "pid": 39,
  81711. "tid": 0,
  81712. "ts": 1539815917037092,
  81713. "dur": 1213,
  81714. "args": {
  81715. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/BiasAdd_grad/BiasAddGrad",
  81716. "op": "BiasAddGrad",
  81717. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Elu_grad/EluGrad"
  81718. }
  81719. },
  81720. {
  81721. "ph": "X",
  81722. "cat": "Op",
  81723. "name": "Conv2DBackpropFilter",
  81724. "pid": 39,
  81725. "tid": 0,
  81726. "ts": 1539815917038313,
  81727. "dur": 17191,
  81728. "args": {
  81729. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  81730. "op": "Conv2DBackpropFilter",
  81731. "input0": "tower_1/batch_normalization_1/FusedBatchNorm",
  81732. "input1": "ConstantFolding/tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/ShapeN-matshapes-1",
  81733. "input2": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Elu_grad/EluGrad",
  81734. "input3": "^tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/BiasAdd_grad/BiasAddGrad"
  81735. }
  81736. },
  81737. {
  81738. "ph": "X",
  81739. "cat": "Op",
  81740. "name": "Conv2DBackpropInput",
  81741. "pid": 39,
  81742. "tid": 0,
  81743. "ts": 1539815917055541,
  81744. "dur": 17916,
  81745. "args": {
  81746. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  81747. "op": "Conv2DBackpropInput",
  81748. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/ShapeN",
  81749. "input1": "tower_1/conv2d_1/Conv2D/ReadVariableOp",
  81750. "input2": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Elu_grad/EluGrad",
  81751. "input3": "^tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/BiasAdd_grad/BiasAddGrad"
  81752. }
  81753. },
  81754. {
  81755. "ph": "X",
  81756. "cat": "Op",
  81757. "name": "FusedBatchNormGrad",
  81758. "pid": 39,
  81759. "tid": 0,
  81760. "ts": 1539815917073474,
  81761. "dur": 81,
  81762. "args": {
  81763. "name": "tower_1/training/TFOptimizer/gradients/tower_1/batch_normalization_1/FusedBatchNorm_grad/FusedBatchNormGrad",
  81764. "op": "FusedBatchNormGrad",
  81765. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  81766. "input1": "tower_1/dropout/dropout/mul",
  81767. "input2": "tower_1/batch_normalization_1/ReadVariableOp",
  81768. "input3": "tower_1/batch_normalization_1/FusedBatchNorm:3",
  81769. "input4": "tower_1/batch_normalization_1/FusedBatchNorm:4",
  81770. "input5": "^tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter"
  81771. }
  81772. },
  81773. {
  81774. "ph": "X",
  81775. "cat": "Op",
  81776. "name": "Reshape",
  81777. "pid": 39,
  81778. "tid": 0,
  81779. "ts": 1539815917073570,
  81780. "dur": 9,
  81781. "args": {
  81782. "name": "training/TFOptimizer/Reshape_22",
  81783. "op": "Reshape",
  81784. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  81785. "input1": "training/TFOptimizer/Reshape_16/shape",
  81786. "input2": "^tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput"
  81787. }
  81788. },
  81789. {
  81790. "ph": "X",
  81791. "cat": "Op",
  81792. "name": "Mul",
  81793. "pid": 39,
  81794. "tid": 0,
  81795. "ts": 1539815917073582,
  81796. "dur": 28,
  81797. "args": {
  81798. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout/dropout/mul_grad/Mul",
  81799. "op": "Mul",
  81800. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/batch_normalization_1/FusedBatchNorm_grad/FusedBatchNormGrad",
  81801. "input1": "tower_1/training/TFOptimizer/gradients/tower_1/dropout/dropout/mul_grad/Mul-1-TransposeNHWCToNCHW-LayoutOptimizer"
  81802. }
  81803. },
  81804. {
  81805. "ph": "X",
  81806. "cat": "Op",
  81807. "name": "Mul",
  81808. "pid": 39,
  81809. "tid": 0,
  81810. "ts": 1539815917073614,
  81811. "dur": 30,
  81812. "args": {
  81813. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout/dropout/div_grad/RealDiv",
  81814. "op": "Mul",
  81815. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/dropout/dropout/mul_grad/Mul",
  81816. "input1": "ConstantFolding/tower_1/training/TFOptimizer/gradients/tower_1/dropout/dropout/div_grad/RealDiv_recip"
  81817. }
  81818. },
  81819. {
  81820. "ph": "X",
  81821. "cat": "Op",
  81822. "name": "Transpose",
  81823. "pid": 39,
  81824. "tid": 0,
  81825. "ts": 1539815917073648,
  81826. "dur": 31,
  81827. "args": {
  81828. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout/dropout/div_grad/RealDiv-0-0-TransposeNCHWToNHWC-LayoutOptimizer",
  81829. "op": "Transpose",
  81830. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/dropout/dropout/div_grad/RealDiv",
  81831. "input1": "PermConstNCHWToNHWC-LayoutOptimizer/_1391"
  81832. }
  81833. },
  81834. {
  81835. "ph": "s",
  81836. "cat": "DataFlow",
  81837. "name": "PermConstNCHWToNHWC-LayoutOptimizer",
  81838. "pid": 41,
  81839. "tid": 0,
  81840. "ts": 1539815912099168,
  81841. "id": 214
  81842. },
  81843. {
  81844. "ph": "t",
  81845. "cat": "DataFlow",
  81846. "name": "PermConstNCHWToNHWC-LayoutOptimizer",
  81847. "pid": 39,
  81848. "tid": 0,
  81849. "ts": 1539815917073648,
  81850. "id": 214
  81851. },
  81852. {
  81853. "ph": "X",
  81854. "cat": "Op",
  81855. "name": "Sum",
  81856. "pid": 39,
  81857. "tid": 0,
  81858. "ts": 1539815917073687,
  81859. "dur": 13,
  81860. "args": {
  81861. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout/dropout/div_grad/Sum",
  81862. "op": "Sum",
  81863. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/dropout/dropout/div_grad/RealDiv-0-0-TransposeNCHWToNHWC-LayoutOptimizer",
  81864. "input1": "tower_1/training/TFOptimizer/gradients/tower_1/dropout/dropout/div_grad/BroadcastGradientArgs"
  81865. }
  81866. },
  81867. {
  81868. "ph": "X",
  81869. "cat": "Op",
  81870. "name": "Reshape",
  81871. "pid": 39,
  81872. "tid": 0,
  81873. "ts": 1539815917073702,
  81874. "dur": 8,
  81875. "args": {
  81876. "name": "tower_1/training/TFOptimizer/gradients/tower_1/dropout/dropout/div_grad/Reshape",
  81877. "op": "Reshape",
  81878. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/dropout/dropout/div_grad/Sum",
  81879. "input1": "tower_1/training/TFOptimizer/gradients/tower_1/dropout/dropout/div_grad/Shape-2-1-VecPermuteNCHWToNHWC-LayoutOptimizer"
  81880. }
  81881. },
  81882. {
  81883. "ph": "X",
  81884. "cat": "Op",
  81885. "name": "Transpose",
  81886. "pid": 39,
  81887. "tid": 0,
  81888. "ts": 1539815917073712,
  81889. "dur": 34,
  81890. "args": {
  81891. "name": "tower_1/training/TFOptimizer/gradients/tower_1/max_pooling2d/MaxPool_grad/MaxPoolGrad-2-TransposeNHWCToNCHW-LayoutOptimizer",
  81892. "op": "Transpose",
  81893. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/dropout/dropout/div_grad/Reshape",
  81894. "input1": "PermConstNHWCToNCHW-LayoutOptimizer/_1385"
  81895. }
  81896. },
  81897. {
  81898. "ph": "s",
  81899. "cat": "DataFlow",
  81900. "name": "PermConstNHWCToNCHW-LayoutOptimizer",
  81901. "pid": 41,
  81902. "tid": 0,
  81903. "ts": 1539815912099159,
  81904. "id": 215
  81905. },
  81906. {
  81907. "ph": "t",
  81908. "cat": "DataFlow",
  81909. "name": "PermConstNHWCToNCHW-LayoutOptimizer",
  81910. "pid": 39,
  81911. "tid": 0,
  81912. "ts": 1539815917073712,
  81913. "id": 215
  81914. },
  81915. {
  81916. "ph": "X",
  81917. "cat": "Op",
  81918. "name": "MaxPoolGrad",
  81919. "pid": 39,
  81920. "tid": 0,
  81921. "ts": 1539815917073753,
  81922. "dur": 43,
  81923. "args": {
  81924. "name": "tower_1/training/TFOptimizer/gradients/tower_1/max_pooling2d/MaxPool_grad/MaxPoolGrad",
  81925. "op": "MaxPoolGrad",
  81926. "input0": "tower_1/conv2d/Elu",
  81927. "input1": "tower_1/max_pooling2d/MaxPool",
  81928. "input2": "tower_1/training/TFOptimizer/gradients/tower_1/max_pooling2d/MaxPool_grad/MaxPoolGrad-2-TransposeNHWCToNCHW-LayoutOptimizer"
  81929. }
  81930. },
  81931. {
  81932. "ph": "X",
  81933. "cat": "Op",
  81934. "name": "EluGrad",
  81935. "pid": 39,
  81936. "tid": 0,
  81937. "ts": 1539815917073804,
  81938. "dur": 35,
  81939. "args": {
  81940. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Elu_grad/EluGrad",
  81941. "op": "EluGrad",
  81942. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/max_pooling2d/MaxPool_grad/MaxPoolGrad",
  81943. "input1": "tower_1/conv2d/Elu"
  81944. }
  81945. },
  81946. {
  81947. "ph": "X",
  81948. "cat": "Op",
  81949. "name": "BiasAddGrad",
  81950. "pid": 39,
  81951. "tid": 0,
  81952. "ts": 1539815917073842,
  81953. "dur": 1272,
  81954. "args": {
  81955. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/BiasAdd_grad/BiasAddGrad",
  81956. "op": "BiasAddGrad",
  81957. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Elu_grad/EluGrad"
  81958. }
  81959. },
  81960. {
  81961. "ph": "X",
  81962. "cat": "Op",
  81963. "name": "Conv2DBackpropFilter",
  81964. "pid": 39,
  81965. "tid": 0,
  81966. "ts": 1539815917075128,
  81967. "dur": 10624,
  81968. "args": {
  81969. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  81970. "op": "Conv2DBackpropFilter",
  81971. "input0": "tower_1/batch_normalization/FusedBatchNorm",
  81972. "input1": "ConstantFolding/tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/ShapeN-matshapes-1",
  81973. "input2": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Elu_grad/EluGrad",
  81974. "input3": "^tower_1/training/TFOptimizer/gradients/tower_1/conv2d/BiasAdd_grad/BiasAddGrad"
  81975. }
  81976. },
  81977. {
  81978. "ph": "X",
  81979. "cat": "Op",
  81980. "name": "Conv2DBackpropInput",
  81981. "pid": 39,
  81982. "tid": 0,
  81983. "ts": 1539815917085763,
  81984. "dur": 12144,
  81985. "args": {
  81986. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  81987. "op": "Conv2DBackpropInput",
  81988. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/ShapeN",
  81989. "input1": "tower_1/conv2d/Conv2D/ReadVariableOp",
  81990. "input2": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Elu_grad/EluGrad",
  81991. "input3": "^tower_1/training/TFOptimizer/gradients/tower_1/conv2d/BiasAdd_grad/BiasAddGrad"
  81992. }
  81993. },
  81994. {
  81995. "ph": "X",
  81996. "cat": "Op",
  81997. "name": "FusedBatchNormGrad",
  81998. "pid": 39,
  81999. "tid": 0,
  82000. "ts": 1539815917097923,
  82001. "dur": 81,
  82002. "args": {
  82003. "name": "tower_1/training/TFOptimizer/gradients/tower_1/batch_normalization/FusedBatchNorm_grad/FusedBatchNormGrad",
  82004. "op": "FusedBatchNormGrad",
  82005. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  82006. "input1": "tower_1/training/TFOptimizer/gradients/tower_1/batch_normalization/FusedBatchNorm_grad/FusedBatchNormGrad-1-TransposeNHWCToNCHW-LayoutOptimizer",
  82007. "input2": "tower_1/batch_normalization/ReadVariableOp",
  82008. "input3": "tower_1/batch_normalization/FusedBatchNorm:3",
  82009. "input4": "tower_1/batch_normalization/FusedBatchNorm:4",
  82010. "input5": "^tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter"
  82011. }
  82012. },
  82013. {
  82014. "ph": "X",
  82015. "cat": "Op",
  82016. "name": "Reshape",
  82017. "pid": 39,
  82018. "tid": 0,
  82019. "ts": 1539815917098017,
  82020. "dur": 9,
  82021. "args": {
  82022. "name": "training/TFOptimizer/Reshape_18",
  82023. "op": "Reshape",
  82024. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  82025. "input1": "training/TFOptimizer/Reshape_16/shape",
  82026. "input2": "^tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput"
  82027. }
  82028. },
  82029. {
  82030. "ph": "X",
  82031. "cat": "Op",
  82032. "name": "ConcatV2",
  82033. "pid": 39,
  82034. "tid": 0,
  82035. "ts": 1539815917098029,
  82036. "dur": 114,
  82037. "args": {
  82038. "name": "training/TFOptimizer/concat_1",
  82039. "op": "ConcatV2",
  82040. "input0": "tower_1/training/TFOptimizer/gradients/tower_1/batch_normalization/FusedBatchNorm_grad/FusedBatchNormGrad:1",
  82041. "input1": "tower_1/training/TFOptimizer/gradients/tower_1/batch_normalization/FusedBatchNorm_grad/FusedBatchNormGrad:2",
  82042. "input2": "training/TFOptimizer/Reshape_18",
  82043. "input3": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/BiasAdd_grad/BiasAddGrad",
  82044. "input4": "tower_1/training/TFOptimizer/gradients/tower_1/batch_normalization_1/FusedBatchNorm_grad/FusedBatchNormGrad:1",
  82045. "input5": "tower_1/training/TFOptimizer/gradients/tower_1/batch_normalization_1/FusedBatchNorm_grad/FusedBatchNormGrad:2",
  82046. "input6": "training/TFOptimizer/Reshape_22",
  82047. "input7": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/BiasAdd_grad/BiasAddGrad",
  82048. "input8": "tower_1/training/TFOptimizer/gradients/tower_1/batch_normalization_2/FusedBatchNorm_grad/FusedBatchNormGrad:1",
  82049. "input9": "tower_1/training/TFOptimizer/gradients/tower_1/batch_normalization_2/FusedBatchNorm_grad/FusedBatchNormGrad:2",
  82050. "input10": "training/TFOptimizer/Reshape_26",
  82051. "input11": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/BiasAdd_grad/BiasAddGrad",
  82052. "input12": "training/TFOptimizer/Reshape_28",
  82053. "input13": "tower_1/training/TFOptimizer/gradients/tower_1/dense/BiasAdd_grad/BiasAddGrad",
  82054. "input14": "training/TFOptimizer/Reshape_30",
  82055. "input15": "tower_1/training/TFOptimizer/gradients/tower_1/dense_1/BiasAdd_grad/BiasAddGrad",
  82056. "input16": "training/TFOptimizer/concat_1/axis"
  82057. }
  82058. },
  82059. {
  82060. "ph": "X",
  82061. "cat": "Op",
  82062. "name": "NcclAllReduce",
  82063. "pid": 39,
  82064. "tid": 0,
  82065. "ts": 1539815917098162,
  82066. "dur": 464015,
  82067. "args": {
  82068. "name": "training/TFOptimizer/NcclAllReduce_1",
  82069. "op": "NcclAllReduce",
  82070. "input0": "training/TFOptimizer/concat_1"
  82071. }
  82072. },
  82073. {
  82074. "ph": "X",
  82075. "cat": "Op",
  82076. "name": "SplitV",
  82077. "pid": 39,
  82078. "tid": 0,
  82079. "ts": 1539815917562219,
  82080. "dur": 2009,
  82081. "args": {
  82082. "name": "training/TFOptimizer/split_5",
  82083. "op": "SplitV",
  82084. "input0": "training/TFOptimizer/NcclAllReduce_1",
  82085. "input1": "training/TFOptimizer/packed_1",
  82086. "input2": "training/TFOptimizer/split_5/split_dim"
  82087. }
  82088. },
  82089. {
  82090. "ph": "X",
  82091. "cat": "Op",
  82092. "name": "Reshape",
  82093. "pid": 39,
  82094. "tid": 0,
  82095. "ts": 1539815917564273,
  82096. "dur": 13,
  82097. "args": {
  82098. "name": "training/TFOptimizer/Reshape_90",
  82099. "op": "Reshape",
  82100. "input0": "training/TFOptimizer/split_5:10",
  82101. "input1": "training/TFOptimizer/Shape_26"
  82102. }
  82103. },
  82104. {
  82105. "ph": "X",
  82106. "cat": "Op",
  82107. "name": "Reshape",
  82108. "pid": 39,
  82109. "tid": 0,
  82110. "ts": 1539815917564289,
  82111. "dur": 5,
  82112. "args": {
  82113. "name": "training/TFOptimizer/Reshape_92",
  82114. "op": "Reshape",
  82115. "input0": "training/TFOptimizer/split_5:12",
  82116. "input1": "training/TFOptimizer/Shape_28"
  82117. }
  82118. },
  82119. {
  82120. "ph": "X",
  82121. "cat": "Op",
  82122. "name": "Reshape",
  82123. "pid": 39,
  82124. "tid": 0,
  82125. "ts": 1539815917564296,
  82126. "dur": 43,
  82127. "args": {
  82128. "name": "training/TFOptimizer/Reshape_94",
  82129. "op": "Reshape",
  82130. "input0": "training/TFOptimizer/split_5:14",
  82131. "input1": "training/TFOptimizer/Shape_30"
  82132. }
  82133. },
  82134. {
  82135. "ph": "X",
  82136. "cat": "Op",
  82137. "name": "Reshape",
  82138. "pid": 39,
  82139. "tid": 0,
  82140. "ts": 1539815917564342,
  82141. "dur": 6,
  82142. "args": {
  82143. "name": "training/TFOptimizer/Reshape_82",
  82144. "op": "Reshape",
  82145. "input0": "training/TFOptimizer/split_5:2",
  82146. "input1": "training/TFOptimizer/Shape_18"
  82147. }
  82148. },
  82149. {
  82150. "ph": "X",
  82151. "cat": "Op",
  82152. "name": "Reshape",
  82153. "pid": 39,
  82154. "tid": 0,
  82155. "ts": 1539815917564350,
  82156. "dur": 5,
  82157. "args": {
  82158. "name": "training/TFOptimizer/Reshape_86",
  82159. "op": "Reshape",
  82160. "input0": "training/TFOptimizer/split_5:6",
  82161. "input1": "training/TFOptimizer/Shape_22"
  82162. }
  82163. },
  82164. {
  82165. "ph": "X",
  82166. "cat": "Op",
  82167. "name": "ResourceApplyAdam",
  82168. "pid": 39,
  82169. "tid": 0,
  82170. "ts": 1539815917564361,
  82171. "dur": 4023,
  82172. "args": {
  82173. "name": "training/TFOptimizer/Adam/update_1/update_batch_normalization/gamma/replica_1/ResourceApplyAdam",
  82174. "op": "ResourceApplyAdam",
  82175. "input0": "batch_normalization/gamma/replica_1",
  82176. "input1": "batch_normalization/gamma/Adam/replica_1",
  82177. "input2": "batch_normalization/gamma/Adam_1/replica_1",
  82178. "input3": "training/TFOptimizer/Adam/update_1/update_batch_normalization/gamma/replica_1/ResourceApplyAdam/ReadVariableOp",
  82179. "input4": "training/TFOptimizer/Adam/update_1/update_batch_normalization/gamma/replica_1/ResourceApplyAdam/ReadVariableOp_1",
  82180. "input5": "training/TFOptimizer/Adam/learning_rate/_1419",
  82181. "input6": "training/TFOptimizer/Adam/beta1/_1421",
  82182. "input7": "training/TFOptimizer/Adam/beta2/_1423",
  82183. "input8": "training/TFOptimizer/Adam/epsilon/_1425",
  82184. "input9": "training/TFOptimizer/split_5"
  82185. }
  82186. },
  82187. {
  82188. "ph": "s",
  82189. "cat": "DataFlow",
  82190. "name": "training/TFOptimizer/Adam/learning_rate",
  82191. "pid": 41,
  82192. "tid": 0,
  82193. "ts": 1539815912099124,
  82194. "id": 216
  82195. },
  82196. {
  82197. "ph": "t",
  82198. "cat": "DataFlow",
  82199. "name": "training/TFOptimizer/Adam/learning_rate",
  82200. "pid": 39,
  82201. "tid": 0,
  82202. "ts": 1539815917564361,
  82203. "id": 216
  82204. },
  82205. {
  82206. "ph": "s",
  82207. "cat": "DataFlow",
  82208. "name": "training/TFOptimizer/Adam/beta1",
  82209. "pid": 41,
  82210. "tid": 0,
  82211. "ts": 1539815912099133,
  82212. "id": 217
  82213. },
  82214. {
  82215. "ph": "t",
  82216. "cat": "DataFlow",
  82217. "name": "training/TFOptimizer/Adam/beta1",
  82218. "pid": 39,
  82219. "tid": 0,
  82220. "ts": 1539815917564361,
  82221. "id": 217
  82222. },
  82223. {
  82224. "ph": "s",
  82225. "cat": "DataFlow",
  82226. "name": "training/TFOptimizer/Adam/beta2",
  82227. "pid": 41,
  82228. "tid": 0,
  82229. "ts": 1539815912099143,
  82230. "id": 218
  82231. },
  82232. {
  82233. "ph": "t",
  82234. "cat": "DataFlow",
  82235. "name": "training/TFOptimizer/Adam/beta2",
  82236. "pid": 39,
  82237. "tid": 0,
  82238. "ts": 1539815917564361,
  82239. "id": 218
  82240. },
  82241. {
  82242. "ph": "s",
  82243. "cat": "DataFlow",
  82244. "name": "training/TFOptimizer/Adam/epsilon",
  82245. "pid": 41,
  82246. "tid": 0,
  82247. "ts": 1539815912099150,
  82248. "id": 219
  82249. },
  82250. {
  82251. "ph": "t",
  82252. "cat": "DataFlow",
  82253. "name": "training/TFOptimizer/Adam/epsilon",
  82254. "pid": 39,
  82255. "tid": 0,
  82256. "ts": 1539815917564361,
  82257. "id": 219
  82258. },
  82259. {
  82260. "ph": "X",
  82261. "cat": "Op",
  82262. "name": "ResourceApplyAdam",
  82263. "pid": 39,
  82264. "tid": 0,
  82265. "ts": 1539815917568391,
  82266. "dur": 156,
  82267. "args": {
  82268. "name": "training/TFOptimizer/Adam/update_1_1/update_batch_normalization/beta/replica_1/ResourceApplyAdam",
  82269. "op": "ResourceApplyAdam",
  82270. "input0": "batch_normalization/beta/replica_1",
  82271. "input1": "batch_normalization/beta/Adam/replica_1",
  82272. "input2": "batch_normalization/beta/Adam_1/replica_1",
  82273. "input3": "training/TFOptimizer/Adam/update_1_1/update_batch_normalization/beta/replica_1/ResourceApplyAdam/ReadVariableOp",
  82274. "input4": "training/TFOptimizer/Adam/update_1_1/update_batch_normalization/beta/replica_1/ResourceApplyAdam/ReadVariableOp_1",
  82275. "input5": "training/TFOptimizer/Adam/learning_rate/_1419",
  82276. "input6": "training/TFOptimizer/Adam/beta1/_1421",
  82277. "input7": "training/TFOptimizer/Adam/beta2/_1423",
  82278. "input8": "training/TFOptimizer/Adam/epsilon/_1425",
  82279. "input9": "training/TFOptimizer/split_5:1"
  82280. }
  82281. },
  82282. {
  82283. "ph": "s",
  82284. "cat": "DataFlow",
  82285. "name": "training/TFOptimizer/Adam/learning_rate",
  82286. "pid": 41,
  82287. "tid": 0,
  82288. "ts": 1539815912099124,
  82289. "id": 220
  82290. },
  82291. {
  82292. "ph": "t",
  82293. "cat": "DataFlow",
  82294. "name": "training/TFOptimizer/Adam/learning_rate",
  82295. "pid": 39,
  82296. "tid": 0,
  82297. "ts": 1539815917568391,
  82298. "id": 220
  82299. },
  82300. {
  82301. "ph": "s",
  82302. "cat": "DataFlow",
  82303. "name": "training/TFOptimizer/Adam/beta1",
  82304. "pid": 41,
  82305. "tid": 0,
  82306. "ts": 1539815912099133,
  82307. "id": 221
  82308. },
  82309. {
  82310. "ph": "t",
  82311. "cat": "DataFlow",
  82312. "name": "training/TFOptimizer/Adam/beta1",
  82313. "pid": 39,
  82314. "tid": 0,
  82315. "ts": 1539815917568391,
  82316. "id": 221
  82317. },
  82318. {
  82319. "ph": "s",
  82320. "cat": "DataFlow",
  82321. "name": "training/TFOptimizer/Adam/beta2",
  82322. "pid": 41,
  82323. "tid": 0,
  82324. "ts": 1539815912099143,
  82325. "id": 222
  82326. },
  82327. {
  82328. "ph": "t",
  82329. "cat": "DataFlow",
  82330. "name": "training/TFOptimizer/Adam/beta2",
  82331. "pid": 39,
  82332. "tid": 0,
  82333. "ts": 1539815917568391,
  82334. "id": 222
  82335. },
  82336. {
  82337. "ph": "s",
  82338. "cat": "DataFlow",
  82339. "name": "training/TFOptimizer/Adam/epsilon",
  82340. "pid": 41,
  82341. "tid": 0,
  82342. "ts": 1539815912099150,
  82343. "id": 223
  82344. },
  82345. {
  82346. "ph": "t",
  82347. "cat": "DataFlow",
  82348. "name": "training/TFOptimizer/Adam/epsilon",
  82349. "pid": 39,
  82350. "tid": 0,
  82351. "ts": 1539815917568391,
  82352. "id": 223
  82353. },
  82354. {
  82355. "ph": "X",
  82356. "cat": "Op",
  82357. "name": "ResourceApplyAdam",
  82358. "pid": 39,
  82359. "tid": 0,
  82360. "ts": 1539815917568559,
  82361. "dur": 175,
  82362. "args": {
  82363. "name": "training/TFOptimizer/Adam/update_1_11/update_conv2d_2/bias/replica_1/ResourceApplyAdam",
  82364. "op": "ResourceApplyAdam",
  82365. "input0": "conv2d_2/bias/replica_1",
  82366. "input1": "conv2d_2/bias/Adam/replica_1",
  82367. "input2": "conv2d_2/bias/Adam_1/replica_1",
  82368. "input3": "training/TFOptimizer/Adam/update_1_11/update_conv2d_2/bias/replica_1/ResourceApplyAdam/ReadVariableOp",
  82369. "input4": "training/TFOptimizer/Adam/update_1_11/update_conv2d_2/bias/replica_1/ResourceApplyAdam/ReadVariableOp_1",
  82370. "input5": "training/TFOptimizer/Adam/learning_rate/_1419",
  82371. "input6": "training/TFOptimizer/Adam/beta1/_1421",
  82372. "input7": "training/TFOptimizer/Adam/beta2/_1423",
  82373. "input8": "training/TFOptimizer/Adam/epsilon/_1425",
  82374. "input9": "training/TFOptimizer/split_5:11"
  82375. }
  82376. },
  82377. {
  82378. "ph": "s",
  82379. "cat": "DataFlow",
  82380. "name": "training/TFOptimizer/Adam/learning_rate",
  82381. "pid": 41,
  82382. "tid": 0,
  82383. "ts": 1539815912099124,
  82384. "id": 224
  82385. },
  82386. {
  82387. "ph": "t",
  82388. "cat": "DataFlow",
  82389. "name": "training/TFOptimizer/Adam/learning_rate",
  82390. "pid": 39,
  82391. "tid": 0,
  82392. "ts": 1539815917568559,
  82393. "id": 224
  82394. },
  82395. {
  82396. "ph": "s",
  82397. "cat": "DataFlow",
  82398. "name": "training/TFOptimizer/Adam/beta1",
  82399. "pid": 41,
  82400. "tid": 0,
  82401. "ts": 1539815912099133,
  82402. "id": 225
  82403. },
  82404. {
  82405. "ph": "t",
  82406. "cat": "DataFlow",
  82407. "name": "training/TFOptimizer/Adam/beta1",
  82408. "pid": 39,
  82409. "tid": 0,
  82410. "ts": 1539815917568559,
  82411. "id": 225
  82412. },
  82413. {
  82414. "ph": "s",
  82415. "cat": "DataFlow",
  82416. "name": "training/TFOptimizer/Adam/beta2",
  82417. "pid": 41,
  82418. "tid": 0,
  82419. "ts": 1539815912099143,
  82420. "id": 226
  82421. },
  82422. {
  82423. "ph": "t",
  82424. "cat": "DataFlow",
  82425. "name": "training/TFOptimizer/Adam/beta2",
  82426. "pid": 39,
  82427. "tid": 0,
  82428. "ts": 1539815917568559,
  82429. "id": 226
  82430. },
  82431. {
  82432. "ph": "s",
  82433. "cat": "DataFlow",
  82434. "name": "training/TFOptimizer/Adam/epsilon",
  82435. "pid": 41,
  82436. "tid": 0,
  82437. "ts": 1539815912099150,
  82438. "id": 227
  82439. },
  82440. {
  82441. "ph": "t",
  82442. "cat": "DataFlow",
  82443. "name": "training/TFOptimizer/Adam/epsilon",
  82444. "pid": 39,
  82445. "tid": 0,
  82446. "ts": 1539815917568559,
  82447. "id": 227
  82448. },
  82449. {
  82450. "ph": "X",
  82451. "cat": "Op",
  82452. "name": "ResourceApplyAdam",
  82453. "pid": 39,
  82454. "tid": 0,
  82455. "ts": 1539815917568744,
  82456. "dur": 97,
  82457. "args": {
  82458. "name": "training/TFOptimizer/Adam/update_1_13/update_dense/bias/replica_1/ResourceApplyAdam",
  82459. "op": "ResourceApplyAdam",
  82460. "input0": "dense/bias/replica_1",
  82461. "input1": "dense/bias/Adam/replica_1",
  82462. "input2": "dense/bias/Adam_1/replica_1",
  82463. "input3": "training/TFOptimizer/Adam/update_1_13/update_dense/bias/replica_1/ResourceApplyAdam/ReadVariableOp",
  82464. "input4": "training/TFOptimizer/Adam/update_1_13/update_dense/bias/replica_1/ResourceApplyAdam/ReadVariableOp_1",
  82465. "input5": "training/TFOptimizer/Adam/learning_rate/_1419",
  82466. "input6": "training/TFOptimizer/Adam/beta1/_1421",
  82467. "input7": "training/TFOptimizer/Adam/beta2/_1423",
  82468. "input8": "training/TFOptimizer/Adam/epsilon/_1425",
  82469. "input9": "training/TFOptimizer/split_5:13"
  82470. }
  82471. },
  82472. {
  82473. "ph": "s",
  82474. "cat": "DataFlow",
  82475. "name": "training/TFOptimizer/Adam/learning_rate",
  82476. "pid": 41,
  82477. "tid": 0,
  82478. "ts": 1539815912099124,
  82479. "id": 228
  82480. },
  82481. {
  82482. "ph": "t",
  82483. "cat": "DataFlow",
  82484. "name": "training/TFOptimizer/Adam/learning_rate",
  82485. "pid": 39,
  82486. "tid": 0,
  82487. "ts": 1539815917568744,
  82488. "id": 228
  82489. },
  82490. {
  82491. "ph": "s",
  82492. "cat": "DataFlow",
  82493. "name": "training/TFOptimizer/Adam/beta1",
  82494. "pid": 41,
  82495. "tid": 0,
  82496. "ts": 1539815912099133,
  82497. "id": 229
  82498. },
  82499. {
  82500. "ph": "t",
  82501. "cat": "DataFlow",
  82502. "name": "training/TFOptimizer/Adam/beta1",
  82503. "pid": 39,
  82504. "tid": 0,
  82505. "ts": 1539815917568744,
  82506. "id": 229
  82507. },
  82508. {
  82509. "ph": "s",
  82510. "cat": "DataFlow",
  82511. "name": "training/TFOptimizer/Adam/beta2",
  82512. "pid": 41,
  82513. "tid": 0,
  82514. "ts": 1539815912099143,
  82515. "id": 230
  82516. },
  82517. {
  82518. "ph": "t",
  82519. "cat": "DataFlow",
  82520. "name": "training/TFOptimizer/Adam/beta2",
  82521. "pid": 39,
  82522. "tid": 0,
  82523. "ts": 1539815917568744,
  82524. "id": 230
  82525. },
  82526. {
  82527. "ph": "s",
  82528. "cat": "DataFlow",
  82529. "name": "training/TFOptimizer/Adam/epsilon",
  82530. "pid": 41,
  82531. "tid": 0,
  82532. "ts": 1539815912099150,
  82533. "id": 231
  82534. },
  82535. {
  82536. "ph": "t",
  82537. "cat": "DataFlow",
  82538. "name": "training/TFOptimizer/Adam/epsilon",
  82539. "pid": 39,
  82540. "tid": 0,
  82541. "ts": 1539815917568744,
  82542. "id": 231
  82543. },
  82544. {
  82545. "ph": "X",
  82546. "cat": "Op",
  82547. "name": "ResourceApplyAdam",
  82548. "pid": 39,
  82549. "tid": 0,
  82550. "ts": 1539815917568846,
  82551. "dur": 139,
  82552. "args": {
  82553. "name": "training/TFOptimizer/Adam/update_1_15/update_dense_1/bias/replica_1/ResourceApplyAdam",
  82554. "op": "ResourceApplyAdam",
  82555. "input0": "dense_1/bias/replica_1",
  82556. "input1": "dense_1/bias/Adam/replica_1",
  82557. "input2": "dense_1/bias/Adam_1/replica_1",
  82558. "input3": "training/TFOptimizer/Adam/update_1_15/update_dense_1/bias/replica_1/ResourceApplyAdam/ReadVariableOp",
  82559. "input4": "training/TFOptimizer/Adam/update_1_15/update_dense_1/bias/replica_1/ResourceApplyAdam/ReadVariableOp_1",
  82560. "input5": "training/TFOptimizer/Adam/learning_rate/_1419",
  82561. "input6": "training/TFOptimizer/Adam/beta1/_1421",
  82562. "input7": "training/TFOptimizer/Adam/beta2/_1423",
  82563. "input8": "training/TFOptimizer/Adam/epsilon/_1425",
  82564. "input9": "training/TFOptimizer/split_5:15"
  82565. }
  82566. },
  82567. {
  82568. "ph": "s",
  82569. "cat": "DataFlow",
  82570. "name": "training/TFOptimizer/Adam/learning_rate",
  82571. "pid": 41,
  82572. "tid": 0,
  82573. "ts": 1539815912099124,
  82574. "id": 232
  82575. },
  82576. {
  82577. "ph": "t",
  82578. "cat": "DataFlow",
  82579. "name": "training/TFOptimizer/Adam/learning_rate",
  82580. "pid": 39,
  82581. "tid": 0,
  82582. "ts": 1539815917568846,
  82583. "id": 232
  82584. },
  82585. {
  82586. "ph": "s",
  82587. "cat": "DataFlow",
  82588. "name": "training/TFOptimizer/Adam/beta1",
  82589. "pid": 41,
  82590. "tid": 0,
  82591. "ts": 1539815912099133,
  82592. "id": 233
  82593. },
  82594. {
  82595. "ph": "t",
  82596. "cat": "DataFlow",
  82597. "name": "training/TFOptimizer/Adam/beta1",
  82598. "pid": 39,
  82599. "tid": 0,
  82600. "ts": 1539815917568846,
  82601. "id": 233
  82602. },
  82603. {
  82604. "ph": "s",
  82605. "cat": "DataFlow",
  82606. "name": "training/TFOptimizer/Adam/beta2",
  82607. "pid": 41,
  82608. "tid": 0,
  82609. "ts": 1539815912099143,
  82610. "id": 234
  82611. },
  82612. {
  82613. "ph": "t",
  82614. "cat": "DataFlow",
  82615. "name": "training/TFOptimizer/Adam/beta2",
  82616. "pid": 39,
  82617. "tid": 0,
  82618. "ts": 1539815917568846,
  82619. "id": 234
  82620. },
  82621. {
  82622. "ph": "s",
  82623. "cat": "DataFlow",
  82624. "name": "training/TFOptimizer/Adam/epsilon",
  82625. "pid": 41,
  82626. "tid": 0,
  82627. "ts": 1539815912099150,
  82628. "id": 235
  82629. },
  82630. {
  82631. "ph": "t",
  82632. "cat": "DataFlow",
  82633. "name": "training/TFOptimizer/Adam/epsilon",
  82634. "pid": 39,
  82635. "tid": 0,
  82636. "ts": 1539815917568846,
  82637. "id": 235
  82638. },
  82639. {
  82640. "ph": "X",
  82641. "cat": "Op",
  82642. "name": "ResourceApplyAdam",
  82643. "pid": 39,
  82644. "tid": 0,
  82645. "ts": 1539815917568990,
  82646. "dur": 120,
  82647. "args": {
  82648. "name": "training/TFOptimizer/Adam/update_1_3/update_conv2d/bias/replica_1/ResourceApplyAdam",
  82649. "op": "ResourceApplyAdam",
  82650. "input0": "conv2d/bias/replica_1",
  82651. "input1": "conv2d/bias/Adam/replica_1",
  82652. "input2": "conv2d/bias/Adam_1/replica_1",
  82653. "input3": "training/TFOptimizer/Adam/update_1_3/update_conv2d/bias/replica_1/ResourceApplyAdam/ReadVariableOp",
  82654. "input4": "training/TFOptimizer/Adam/update_1_3/update_conv2d/bias/replica_1/ResourceApplyAdam/ReadVariableOp_1",
  82655. "input5": "training/TFOptimizer/Adam/learning_rate/_1419",
  82656. "input6": "training/TFOptimizer/Adam/beta1/_1421",
  82657. "input7": "training/TFOptimizer/Adam/beta2/_1423",
  82658. "input8": "training/TFOptimizer/Adam/epsilon/_1425",
  82659. "input9": "training/TFOptimizer/split_5:3"
  82660. }
  82661. },
  82662. {
  82663. "ph": "s",
  82664. "cat": "DataFlow",
  82665. "name": "training/TFOptimizer/Adam/learning_rate",
  82666. "pid": 41,
  82667. "tid": 0,
  82668. "ts": 1539815912099124,
  82669. "id": 236
  82670. },
  82671. {
  82672. "ph": "t",
  82673. "cat": "DataFlow",
  82674. "name": "training/TFOptimizer/Adam/learning_rate",
  82675. "pid": 39,
  82676. "tid": 0,
  82677. "ts": 1539815917568990,
  82678. "id": 236
  82679. },
  82680. {
  82681. "ph": "s",
  82682. "cat": "DataFlow",
  82683. "name": "training/TFOptimizer/Adam/beta1",
  82684. "pid": 41,
  82685. "tid": 0,
  82686. "ts": 1539815912099133,
  82687. "id": 237
  82688. },
  82689. {
  82690. "ph": "t",
  82691. "cat": "DataFlow",
  82692. "name": "training/TFOptimizer/Adam/beta1",
  82693. "pid": 39,
  82694. "tid": 0,
  82695. "ts": 1539815917568990,
  82696. "id": 237
  82697. },
  82698. {
  82699. "ph": "s",
  82700. "cat": "DataFlow",
  82701. "name": "training/TFOptimizer/Adam/beta2",
  82702. "pid": 41,
  82703. "tid": 0,
  82704. "ts": 1539815912099143,
  82705. "id": 238
  82706. },
  82707. {
  82708. "ph": "t",
  82709. "cat": "DataFlow",
  82710. "name": "training/TFOptimizer/Adam/beta2",
  82711. "pid": 39,
  82712. "tid": 0,
  82713. "ts": 1539815917568990,
  82714. "id": 238
  82715. },
  82716. {
  82717. "ph": "s",
  82718. "cat": "DataFlow",
  82719. "name": "training/TFOptimizer/Adam/epsilon",
  82720. "pid": 41,
  82721. "tid": 0,
  82722. "ts": 1539815912099150,
  82723. "id": 239
  82724. },
  82725. {
  82726. "ph": "t",
  82727. "cat": "DataFlow",
  82728. "name": "training/TFOptimizer/Adam/epsilon",
  82729. "pid": 39,
  82730. "tid": 0,
  82731. "ts": 1539815917568990,
  82732. "id": 239
  82733. },
  82734. {
  82735. "ph": "X",
  82736. "cat": "Op",
  82737. "name": "ResourceApplyAdam",
  82738. "pid": 39,
  82739. "tid": 0,
  82740. "ts": 1539815917569128,
  82741. "dur": 132,
  82742. "args": {
  82743. "name": "training/TFOptimizer/Adam/update_1_4/update_batch_normalization_1/gamma/replica_1/ResourceApplyAdam",
  82744. "op": "ResourceApplyAdam",
  82745. "input0": "batch_normalization_1/gamma/replica_1",
  82746. "input1": "batch_normalization_1/gamma/Adam/replica_1",
  82747. "input2": "batch_normalization_1/gamma/Adam_1/replica_1",
  82748. "input3": "training/TFOptimizer/Adam/update_1_4/update_batch_normalization_1/gamma/replica_1/ResourceApplyAdam/ReadVariableOp",
  82749. "input4": "training/TFOptimizer/Adam/update_1_4/update_batch_normalization_1/gamma/replica_1/ResourceApplyAdam/ReadVariableOp_1",
  82750. "input5": "training/TFOptimizer/Adam/learning_rate/_1419",
  82751. "input6": "training/TFOptimizer/Adam/beta1/_1421",
  82752. "input7": "training/TFOptimizer/Adam/beta2/_1423",
  82753. "input8": "training/TFOptimizer/Adam/epsilon/_1425",
  82754. "input9": "training/TFOptimizer/split_5:4"
  82755. }
  82756. },
  82757. {
  82758. "ph": "s",
  82759. "cat": "DataFlow",
  82760. "name": "training/TFOptimizer/Adam/learning_rate",
  82761. "pid": 41,
  82762. "tid": 0,
  82763. "ts": 1539815912099124,
  82764. "id": 240
  82765. },
  82766. {
  82767. "ph": "t",
  82768. "cat": "DataFlow",
  82769. "name": "training/TFOptimizer/Adam/learning_rate",
  82770. "pid": 39,
  82771. "tid": 0,
  82772. "ts": 1539815917569128,
  82773. "id": 240
  82774. },
  82775. {
  82776. "ph": "s",
  82777. "cat": "DataFlow",
  82778. "name": "training/TFOptimizer/Adam/beta1",
  82779. "pid": 41,
  82780. "tid": 0,
  82781. "ts": 1539815912099133,
  82782. "id": 241
  82783. },
  82784. {
  82785. "ph": "t",
  82786. "cat": "DataFlow",
  82787. "name": "training/TFOptimizer/Adam/beta1",
  82788. "pid": 39,
  82789. "tid": 0,
  82790. "ts": 1539815917569128,
  82791. "id": 241
  82792. },
  82793. {
  82794. "ph": "s",
  82795. "cat": "DataFlow",
  82796. "name": "training/TFOptimizer/Adam/beta2",
  82797. "pid": 41,
  82798. "tid": 0,
  82799. "ts": 1539815912099143,
  82800. "id": 242
  82801. },
  82802. {
  82803. "ph": "t",
  82804. "cat": "DataFlow",
  82805. "name": "training/TFOptimizer/Adam/beta2",
  82806. "pid": 39,
  82807. "tid": 0,
  82808. "ts": 1539815917569128,
  82809. "id": 242
  82810. },
  82811. {
  82812. "ph": "s",
  82813. "cat": "DataFlow",
  82814. "name": "training/TFOptimizer/Adam/epsilon",
  82815. "pid": 41,
  82816. "tid": 0,
  82817. "ts": 1539815912099150,
  82818. "id": 243
  82819. },
  82820. {
  82821. "ph": "t",
  82822. "cat": "DataFlow",
  82823. "name": "training/TFOptimizer/Adam/epsilon",
  82824. "pid": 39,
  82825. "tid": 0,
  82826. "ts": 1539815917569128,
  82827. "id": 243
  82828. },
  82829. {
  82830. "ph": "X",
  82831. "cat": "Op",
  82832. "name": "ResourceApplyAdam",
  82833. "pid": 39,
  82834. "tid": 0,
  82835. "ts": 1539815917569266,
  82836. "dur": 205,
  82837. "args": {
  82838. "name": "training/TFOptimizer/Adam/update_1_5/update_batch_normalization_1/beta/replica_1/ResourceApplyAdam",
  82839. "op": "ResourceApplyAdam",
  82840. "input0": "batch_normalization_1/beta/replica_1",
  82841. "input1": "batch_normalization_1/beta/Adam/replica_1",
  82842. "input2": "batch_normalization_1/beta/Adam_1/replica_1",
  82843. "input3": "training/TFOptimizer/Adam/update_1_5/update_batch_normalization_1/beta/replica_1/ResourceApplyAdam/ReadVariableOp",
  82844. "input4": "training/TFOptimizer/Adam/update_1_5/update_batch_normalization_1/beta/replica_1/ResourceApplyAdam/ReadVariableOp_1",
  82845. "input5": "training/TFOptimizer/Adam/learning_rate/_1419",
  82846. "input6": "training/TFOptimizer/Adam/beta1/_1421",
  82847. "input7": "training/TFOptimizer/Adam/beta2/_1423",
  82848. "input8": "training/TFOptimizer/Adam/epsilon/_1425",
  82849. "input9": "training/TFOptimizer/split_5:5"
  82850. }
  82851. },
  82852. {
  82853. "ph": "s",
  82854. "cat": "DataFlow",
  82855. "name": "training/TFOptimizer/Adam/learning_rate",
  82856. "pid": 41,
  82857. "tid": 0,
  82858. "ts": 1539815912099124,
  82859. "id": 244
  82860. },
  82861. {
  82862. "ph": "t",
  82863. "cat": "DataFlow",
  82864. "name": "training/TFOptimizer/Adam/learning_rate",
  82865. "pid": 39,
  82866. "tid": 0,
  82867. "ts": 1539815917569266,
  82868. "id": 244
  82869. },
  82870. {
  82871. "ph": "s",
  82872. "cat": "DataFlow",
  82873. "name": "training/TFOptimizer/Adam/beta1",
  82874. "pid": 41,
  82875. "tid": 0,
  82876. "ts": 1539815912099133,
  82877. "id": 245
  82878. },
  82879. {
  82880. "ph": "t",
  82881. "cat": "DataFlow",
  82882. "name": "training/TFOptimizer/Adam/beta1",
  82883. "pid": 39,
  82884. "tid": 0,
  82885. "ts": 1539815917569266,
  82886. "id": 245
  82887. },
  82888. {
  82889. "ph": "s",
  82890. "cat": "DataFlow",
  82891. "name": "training/TFOptimizer/Adam/beta2",
  82892. "pid": 41,
  82893. "tid": 0,
  82894. "ts": 1539815912099143,
  82895. "id": 246
  82896. },
  82897. {
  82898. "ph": "t",
  82899. "cat": "DataFlow",
  82900. "name": "training/TFOptimizer/Adam/beta2",
  82901. "pid": 39,
  82902. "tid": 0,
  82903. "ts": 1539815917569266,
  82904. "id": 246
  82905. },
  82906. {
  82907. "ph": "s",
  82908. "cat": "DataFlow",
  82909. "name": "training/TFOptimizer/Adam/epsilon",
  82910. "pid": 41,
  82911. "tid": 0,
  82912. "ts": 1539815912099150,
  82913. "id": 247
  82914. },
  82915. {
  82916. "ph": "t",
  82917. "cat": "DataFlow",
  82918. "name": "training/TFOptimizer/Adam/epsilon",
  82919. "pid": 39,
  82920. "tid": 0,
  82921. "ts": 1539815917569266,
  82922. "id": 247
  82923. },
  82924. {
  82925. "ph": "X",
  82926. "cat": "Op",
  82927. "name": "ResourceApplyAdam",
  82928. "pid": 39,
  82929. "tid": 0,
  82930. "ts": 1539815917569477,
  82931. "dur": 140,
  82932. "args": {
  82933. "name": "training/TFOptimizer/Adam/update_1_7/update_conv2d_1/bias/replica_1/ResourceApplyAdam",
  82934. "op": "ResourceApplyAdam",
  82935. "input0": "conv2d_1/bias/replica_1",
  82936. "input1": "conv2d_1/bias/Adam/replica_1",
  82937. "input2": "conv2d_1/bias/Adam_1/replica_1",
  82938. "input3": "training/TFOptimizer/Adam/update_1_7/update_conv2d_1/bias/replica_1/ResourceApplyAdam/ReadVariableOp",
  82939. "input4": "training/TFOptimizer/Adam/update_1_7/update_conv2d_1/bias/replica_1/ResourceApplyAdam/ReadVariableOp_1",
  82940. "input5": "training/TFOptimizer/Adam/learning_rate/_1419",
  82941. "input6": "training/TFOptimizer/Adam/beta1/_1421",
  82942. "input7": "training/TFOptimizer/Adam/beta2/_1423",
  82943. "input8": "training/TFOptimizer/Adam/epsilon/_1425",
  82944. "input9": "training/TFOptimizer/split_5:7"
  82945. }
  82946. },
  82947. {
  82948. "ph": "s",
  82949. "cat": "DataFlow",
  82950. "name": "training/TFOptimizer/Adam/learning_rate",
  82951. "pid": 41,
  82952. "tid": 0,
  82953. "ts": 1539815912099124,
  82954. "id": 248
  82955. },
  82956. {
  82957. "ph": "t",
  82958. "cat": "DataFlow",
  82959. "name": "training/TFOptimizer/Adam/learning_rate",
  82960. "pid": 39,
  82961. "tid": 0,
  82962. "ts": 1539815917569477,
  82963. "id": 248
  82964. },
  82965. {
  82966. "ph": "s",
  82967. "cat": "DataFlow",
  82968. "name": "training/TFOptimizer/Adam/beta1",
  82969. "pid": 41,
  82970. "tid": 0,
  82971. "ts": 1539815912099133,
  82972. "id": 249
  82973. },
  82974. {
  82975. "ph": "t",
  82976. "cat": "DataFlow",
  82977. "name": "training/TFOptimizer/Adam/beta1",
  82978. "pid": 39,
  82979. "tid": 0,
  82980. "ts": 1539815917569477,
  82981. "id": 249
  82982. },
  82983. {
  82984. "ph": "s",
  82985. "cat": "DataFlow",
  82986. "name": "training/TFOptimizer/Adam/beta2",
  82987. "pid": 41,
  82988. "tid": 0,
  82989. "ts": 1539815912099143,
  82990. "id": 250
  82991. },
  82992. {
  82993. "ph": "t",
  82994. "cat": "DataFlow",
  82995. "name": "training/TFOptimizer/Adam/beta2",
  82996. "pid": 39,
  82997. "tid": 0,
  82998. "ts": 1539815917569477,
  82999. "id": 250
  83000. },
  83001. {
  83002. "ph": "s",
  83003. "cat": "DataFlow",
  83004. "name": "training/TFOptimizer/Adam/epsilon",
  83005. "pid": 41,
  83006. "tid": 0,
  83007. "ts": 1539815912099150,
  83008. "id": 251
  83009. },
  83010. {
  83011. "ph": "t",
  83012. "cat": "DataFlow",
  83013. "name": "training/TFOptimizer/Adam/epsilon",
  83014. "pid": 39,
  83015. "tid": 0,
  83016. "ts": 1539815917569477,
  83017. "id": 251
  83018. },
  83019. {
  83020. "ph": "X",
  83021. "cat": "Op",
  83022. "name": "ResourceApplyAdam",
  83023. "pid": 39,
  83024. "tid": 0,
  83025. "ts": 1539815917569623,
  83026. "dur": 88,
  83027. "args": {
  83028. "name": "training/TFOptimizer/Adam/update_1_8/update_batch_normalization_2/gamma/replica_1/ResourceApplyAdam",
  83029. "op": "ResourceApplyAdam",
  83030. "input0": "batch_normalization_2/gamma/replica_1",
  83031. "input1": "batch_normalization_2/gamma/Adam/replica_1",
  83032. "input2": "batch_normalization_2/gamma/Adam_1/replica_1",
  83033. "input3": "training/TFOptimizer/Adam/update_1_8/update_batch_normalization_2/gamma/replica_1/ResourceApplyAdam/ReadVariableOp",
  83034. "input4": "training/TFOptimizer/Adam/update_1_8/update_batch_normalization_2/gamma/replica_1/ResourceApplyAdam/ReadVariableOp_1",
  83035. "input5": "training/TFOptimizer/Adam/learning_rate/_1419",
  83036. "input6": "training/TFOptimizer/Adam/beta1/_1421",
  83037. "input7": "training/TFOptimizer/Adam/beta2/_1423",
  83038. "input8": "training/TFOptimizer/Adam/epsilon/_1425",
  83039. "input9": "training/TFOptimizer/split_5:8"
  83040. }
  83041. },
  83042. {
  83043. "ph": "s",
  83044. "cat": "DataFlow",
  83045. "name": "training/TFOptimizer/Adam/learning_rate",
  83046. "pid": 41,
  83047. "tid": 0,
  83048. "ts": 1539815912099124,
  83049. "id": 252
  83050. },
  83051. {
  83052. "ph": "t",
  83053. "cat": "DataFlow",
  83054. "name": "training/TFOptimizer/Adam/learning_rate",
  83055. "pid": 39,
  83056. "tid": 0,
  83057. "ts": 1539815917569623,
  83058. "id": 252
  83059. },
  83060. {
  83061. "ph": "s",
  83062. "cat": "DataFlow",
  83063. "name": "training/TFOptimizer/Adam/beta1",
  83064. "pid": 41,
  83065. "tid": 0,
  83066. "ts": 1539815912099133,
  83067. "id": 253
  83068. },
  83069. {
  83070. "ph": "t",
  83071. "cat": "DataFlow",
  83072. "name": "training/TFOptimizer/Adam/beta1",
  83073. "pid": 39,
  83074. "tid": 0,
  83075. "ts": 1539815917569623,
  83076. "id": 253
  83077. },
  83078. {
  83079. "ph": "s",
  83080. "cat": "DataFlow",
  83081. "name": "training/TFOptimizer/Adam/beta2",
  83082. "pid": 41,
  83083. "tid": 0,
  83084. "ts": 1539815912099143,
  83085. "id": 254
  83086. },
  83087. {
  83088. "ph": "t",
  83089. "cat": "DataFlow",
  83090. "name": "training/TFOptimizer/Adam/beta2",
  83091. "pid": 39,
  83092. "tid": 0,
  83093. "ts": 1539815917569623,
  83094. "id": 254
  83095. },
  83096. {
  83097. "ph": "s",
  83098. "cat": "DataFlow",
  83099. "name": "training/TFOptimizer/Adam/epsilon",
  83100. "pid": 41,
  83101. "tid": 0,
  83102. "ts": 1539815912099150,
  83103. "id": 255
  83104. },
  83105. {
  83106. "ph": "t",
  83107. "cat": "DataFlow",
  83108. "name": "training/TFOptimizer/Adam/epsilon",
  83109. "pid": 39,
  83110. "tid": 0,
  83111. "ts": 1539815917569623,
  83112. "id": 255
  83113. },
  83114. {
  83115. "ph": "X",
  83116. "cat": "Op",
  83117. "name": "ResourceApplyAdam",
  83118. "pid": 39,
  83119. "tid": 0,
  83120. "ts": 1539815917569721,
  83121. "dur": 86,
  83122. "args": {
  83123. "name": "training/TFOptimizer/Adam/update_1_9/update_batch_normalization_2/beta/replica_1/ResourceApplyAdam",
  83124. "op": "ResourceApplyAdam",
  83125. "input0": "batch_normalization_2/beta/replica_1",
  83126. "input1": "batch_normalization_2/beta/Adam/replica_1",
  83127. "input2": "batch_normalization_2/beta/Adam_1/replica_1",
  83128. "input3": "training/TFOptimizer/Adam/update_1_9/update_batch_normalization_2/beta/replica_1/ResourceApplyAdam/ReadVariableOp",
  83129. "input4": "training/TFOptimizer/Adam/update_1_9/update_batch_normalization_2/beta/replica_1/ResourceApplyAdam/ReadVariableOp_1",
  83130. "input5": "training/TFOptimizer/Adam/learning_rate/_1419",
  83131. "input6": "training/TFOptimizer/Adam/beta1/_1421",
  83132. "input7": "training/TFOptimizer/Adam/beta2/_1423",
  83133. "input8": "training/TFOptimizer/Adam/epsilon/_1425",
  83134. "input9": "training/TFOptimizer/split_5:9"
  83135. }
  83136. },
  83137. {
  83138. "ph": "s",
  83139. "cat": "DataFlow",
  83140. "name": "training/TFOptimizer/Adam/learning_rate",
  83141. "pid": 41,
  83142. "tid": 0,
  83143. "ts": 1539815912099124,
  83144. "id": 256
  83145. },
  83146. {
  83147. "ph": "t",
  83148. "cat": "DataFlow",
  83149. "name": "training/TFOptimizer/Adam/learning_rate",
  83150. "pid": 39,
  83151. "tid": 0,
  83152. "ts": 1539815917569721,
  83153. "id": 256
  83154. },
  83155. {
  83156. "ph": "s",
  83157. "cat": "DataFlow",
  83158. "name": "training/TFOptimizer/Adam/beta1",
  83159. "pid": 41,
  83160. "tid": 0,
  83161. "ts": 1539815912099133,
  83162. "id": 257
  83163. },
  83164. {
  83165. "ph": "t",
  83166. "cat": "DataFlow",
  83167. "name": "training/TFOptimizer/Adam/beta1",
  83168. "pid": 39,
  83169. "tid": 0,
  83170. "ts": 1539815917569721,
  83171. "id": 257
  83172. },
  83173. {
  83174. "ph": "s",
  83175. "cat": "DataFlow",
  83176. "name": "training/TFOptimizer/Adam/beta2",
  83177. "pid": 41,
  83178. "tid": 0,
  83179. "ts": 1539815912099143,
  83180. "id": 258
  83181. },
  83182. {
  83183. "ph": "t",
  83184. "cat": "DataFlow",
  83185. "name": "training/TFOptimizer/Adam/beta2",
  83186. "pid": 39,
  83187. "tid": 0,
  83188. "ts": 1539815917569721,
  83189. "id": 258
  83190. },
  83191. {
  83192. "ph": "s",
  83193. "cat": "DataFlow",
  83194. "name": "training/TFOptimizer/Adam/epsilon",
  83195. "pid": 41,
  83196. "tid": 0,
  83197. "ts": 1539815912099150,
  83198. "id": 259
  83199. },
  83200. {
  83201. "ph": "t",
  83202. "cat": "DataFlow",
  83203. "name": "training/TFOptimizer/Adam/epsilon",
  83204. "pid": 39,
  83205. "tid": 0,
  83206. "ts": 1539815917569721,
  83207. "id": 259
  83208. },
  83209. {
  83210. "ph": "X",
  83211. "cat": "Op",
  83212. "name": "ResourceApplyAdam",
  83213. "pid": 39,
  83214. "tid": 0,
  83215. "ts": 1539815917569812,
  83216. "dur": 93,
  83217. "args": {
  83218. "name": "training/TFOptimizer/Adam/update_1_10/update_conv2d_2/kernel/replica_1/ResourceApplyAdam",
  83219. "op": "ResourceApplyAdam",
  83220. "input0": "conv2d_2/kernel/replica_1",
  83221. "input1": "conv2d_2/kernel/Adam/replica_1",
  83222. "input2": "conv2d_2/kernel/Adam_1/replica_1",
  83223. "input3": "training/TFOptimizer/Adam/update_1_10/update_conv2d_2/kernel/replica_1/ResourceApplyAdam/ReadVariableOp",
  83224. "input4": "training/TFOptimizer/Adam/update_1_10/update_conv2d_2/kernel/replica_1/ResourceApplyAdam/ReadVariableOp_1",
  83225. "input5": "training/TFOptimizer/Adam/learning_rate/_1419",
  83226. "input6": "training/TFOptimizer/Adam/beta1/_1421",
  83227. "input7": "training/TFOptimizer/Adam/beta2/_1423",
  83228. "input8": "training/TFOptimizer/Adam/epsilon/_1425",
  83229. "input9": "training/TFOptimizer/Reshape_90"
  83230. }
  83231. },
  83232. {
  83233. "ph": "s",
  83234. "cat": "DataFlow",
  83235. "name": "training/TFOptimizer/Adam/learning_rate",
  83236. "pid": 41,
  83237. "tid": 0,
  83238. "ts": 1539815912099124,
  83239. "id": 260
  83240. },
  83241. {
  83242. "ph": "t",
  83243. "cat": "DataFlow",
  83244. "name": "training/TFOptimizer/Adam/learning_rate",
  83245. "pid": 39,
  83246. "tid": 0,
  83247. "ts": 1539815917569812,
  83248. "id": 260
  83249. },
  83250. {
  83251. "ph": "s",
  83252. "cat": "DataFlow",
  83253. "name": "training/TFOptimizer/Adam/beta1",
  83254. "pid": 41,
  83255. "tid": 0,
  83256. "ts": 1539815912099133,
  83257. "id": 261
  83258. },
  83259. {
  83260. "ph": "t",
  83261. "cat": "DataFlow",
  83262. "name": "training/TFOptimizer/Adam/beta1",
  83263. "pid": 39,
  83264. "tid": 0,
  83265. "ts": 1539815917569812,
  83266. "id": 261
  83267. },
  83268. {
  83269. "ph": "s",
  83270. "cat": "DataFlow",
  83271. "name": "training/TFOptimizer/Adam/beta2",
  83272. "pid": 41,
  83273. "tid": 0,
  83274. "ts": 1539815912099143,
  83275. "id": 262
  83276. },
  83277. {
  83278. "ph": "t",
  83279. "cat": "DataFlow",
  83280. "name": "training/TFOptimizer/Adam/beta2",
  83281. "pid": 39,
  83282. "tid": 0,
  83283. "ts": 1539815917569812,
  83284. "id": 262
  83285. },
  83286. {
  83287. "ph": "s",
  83288. "cat": "DataFlow",
  83289. "name": "training/TFOptimizer/Adam/epsilon",
  83290. "pid": 41,
  83291. "tid": 0,
  83292. "ts": 1539815912099150,
  83293. "id": 263
  83294. },
  83295. {
  83296. "ph": "t",
  83297. "cat": "DataFlow",
  83298. "name": "training/TFOptimizer/Adam/epsilon",
  83299. "pid": 39,
  83300. "tid": 0,
  83301. "ts": 1539815917569812,
  83302. "id": 263
  83303. },
  83304. {
  83305. "ph": "X",
  83306. "cat": "Op",
  83307. "name": "ResourceApplyAdam",
  83308. "pid": 39,
  83309. "tid": 0,
  83310. "ts": 1539815917569915,
  83311. "dur": 138,
  83312. "args": {
  83313. "name": "training/TFOptimizer/Adam/update_1_12/update_dense/kernel/replica_1/ResourceApplyAdam",
  83314. "op": "ResourceApplyAdam",
  83315. "input0": "dense/kernel/replica_1",
  83316. "input1": "dense/kernel/Adam/replica_1",
  83317. "input2": "dense/kernel/Adam_1/replica_1",
  83318. "input3": "training/TFOptimizer/Adam/update_1_12/update_dense/kernel/replica_1/ResourceApplyAdam/ReadVariableOp",
  83319. "input4": "training/TFOptimizer/Adam/update_1_12/update_dense/kernel/replica_1/ResourceApplyAdam/ReadVariableOp_1",
  83320. "input5": "training/TFOptimizer/Adam/learning_rate/_1419",
  83321. "input6": "training/TFOptimizer/Adam/beta1/_1421",
  83322. "input7": "training/TFOptimizer/Adam/beta2/_1423",
  83323. "input8": "training/TFOptimizer/Adam/epsilon/_1425",
  83324. "input9": "training/TFOptimizer/Reshape_92"
  83325. }
  83326. },
  83327. {
  83328. "ph": "s",
  83329. "cat": "DataFlow",
  83330. "name": "training/TFOptimizer/Adam/learning_rate",
  83331. "pid": 41,
  83332. "tid": 0,
  83333. "ts": 1539815912099124,
  83334. "id": 264
  83335. },
  83336. {
  83337. "ph": "t",
  83338. "cat": "DataFlow",
  83339. "name": "training/TFOptimizer/Adam/learning_rate",
  83340. "pid": 39,
  83341. "tid": 0,
  83342. "ts": 1539815917569915,
  83343. "id": 264
  83344. },
  83345. {
  83346. "ph": "s",
  83347. "cat": "DataFlow",
  83348. "name": "training/TFOptimizer/Adam/beta1",
  83349. "pid": 41,
  83350. "tid": 0,
  83351. "ts": 1539815912099133,
  83352. "id": 265
  83353. },
  83354. {
  83355. "ph": "t",
  83356. "cat": "DataFlow",
  83357. "name": "training/TFOptimizer/Adam/beta1",
  83358. "pid": 39,
  83359. "tid": 0,
  83360. "ts": 1539815917569915,
  83361. "id": 265
  83362. },
  83363. {
  83364. "ph": "s",
  83365. "cat": "DataFlow",
  83366. "name": "training/TFOptimizer/Adam/beta2",
  83367. "pid": 41,
  83368. "tid": 0,
  83369. "ts": 1539815912099143,
  83370. "id": 266
  83371. },
  83372. {
  83373. "ph": "t",
  83374. "cat": "DataFlow",
  83375. "name": "training/TFOptimizer/Adam/beta2",
  83376. "pid": 39,
  83377. "tid": 0,
  83378. "ts": 1539815917569915,
  83379. "id": 266
  83380. },
  83381. {
  83382. "ph": "s",
  83383. "cat": "DataFlow",
  83384. "name": "training/TFOptimizer/Adam/epsilon",
  83385. "pid": 41,
  83386. "tid": 0,
  83387. "ts": 1539815912099150,
  83388. "id": 267
  83389. },
  83390. {
  83391. "ph": "t",
  83392. "cat": "DataFlow",
  83393. "name": "training/TFOptimizer/Adam/epsilon",
  83394. "pid": 39,
  83395. "tid": 0,
  83396. "ts": 1539815917569915,
  83397. "id": 267
  83398. },
  83399. {
  83400. "ph": "X",
  83401. "cat": "Op",
  83402. "name": "ResourceApplyAdam",
  83403. "pid": 39,
  83404. "tid": 0,
  83405. "ts": 1539815917570062,
  83406. "dur": 90,
  83407. "args": {
  83408. "name": "training/TFOptimizer/Adam/update_1_14/update_dense_1/kernel/replica_1/ResourceApplyAdam",
  83409. "op": "ResourceApplyAdam",
  83410. "input0": "dense_1/kernel/replica_1",
  83411. "input1": "dense_1/kernel/Adam/replica_1",
  83412. "input2": "dense_1/kernel/Adam_1/replica_1",
  83413. "input3": "training/TFOptimizer/Adam/update_1_14/update_dense_1/kernel/replica_1/ResourceApplyAdam/ReadVariableOp",
  83414. "input4": "training/TFOptimizer/Adam/update_1_14/update_dense_1/kernel/replica_1/ResourceApplyAdam/ReadVariableOp_1",
  83415. "input5": "training/TFOptimizer/Adam/learning_rate/_1419",
  83416. "input6": "training/TFOptimizer/Adam/beta1/_1421",
  83417. "input7": "training/TFOptimizer/Adam/beta2/_1423",
  83418. "input8": "training/TFOptimizer/Adam/epsilon/_1425",
  83419. "input9": "training/TFOptimizer/Reshape_94"
  83420. }
  83421. },
  83422. {
  83423. "ph": "s",
  83424. "cat": "DataFlow",
  83425. "name": "training/TFOptimizer/Adam/learning_rate",
  83426. "pid": 41,
  83427. "tid": 0,
  83428. "ts": 1539815912099124,
  83429. "id": 268
  83430. },
  83431. {
  83432. "ph": "t",
  83433. "cat": "DataFlow",
  83434. "name": "training/TFOptimizer/Adam/learning_rate",
  83435. "pid": 39,
  83436. "tid": 0,
  83437. "ts": 1539815917570062,
  83438. "id": 268
  83439. },
  83440. {
  83441. "ph": "s",
  83442. "cat": "DataFlow",
  83443. "name": "training/TFOptimizer/Adam/beta1",
  83444. "pid": 41,
  83445. "tid": 0,
  83446. "ts": 1539815912099133,
  83447. "id": 269
  83448. },
  83449. {
  83450. "ph": "t",
  83451. "cat": "DataFlow",
  83452. "name": "training/TFOptimizer/Adam/beta1",
  83453. "pid": 39,
  83454. "tid": 0,
  83455. "ts": 1539815917570062,
  83456. "id": 269
  83457. },
  83458. {
  83459. "ph": "s",
  83460. "cat": "DataFlow",
  83461. "name": "training/TFOptimizer/Adam/beta2",
  83462. "pid": 41,
  83463. "tid": 0,
  83464. "ts": 1539815912099143,
  83465. "id": 270
  83466. },
  83467. {
  83468. "ph": "t",
  83469. "cat": "DataFlow",
  83470. "name": "training/TFOptimizer/Adam/beta2",
  83471. "pid": 39,
  83472. "tid": 0,
  83473. "ts": 1539815917570062,
  83474. "id": 270
  83475. },
  83476. {
  83477. "ph": "s",
  83478. "cat": "DataFlow",
  83479. "name": "training/TFOptimizer/Adam/epsilon",
  83480. "pid": 41,
  83481. "tid": 0,
  83482. "ts": 1539815912099150,
  83483. "id": 271
  83484. },
  83485. {
  83486. "ph": "t",
  83487. "cat": "DataFlow",
  83488. "name": "training/TFOptimizer/Adam/epsilon",
  83489. "pid": 39,
  83490. "tid": 0,
  83491. "ts": 1539815917570062,
  83492. "id": 271
  83493. },
  83494. {
  83495. "ph": "X",
  83496. "cat": "Op",
  83497. "name": "ResourceApplyAdam",
  83498. "pid": 39,
  83499. "tid": 0,
  83500. "ts": 1539815917570162,
  83501. "dur": 104,
  83502. "args": {
  83503. "name": "training/TFOptimizer/Adam/update_1_2/update_conv2d/kernel/replica_1/ResourceApplyAdam",
  83504. "op": "ResourceApplyAdam",
  83505. "input0": "conv2d/kernel/replica_1",
  83506. "input1": "conv2d/kernel/Adam/replica_1",
  83507. "input2": "conv2d/kernel/Adam_1/replica_1",
  83508. "input3": "training/TFOptimizer/Adam/update_1_2/update_conv2d/kernel/replica_1/ResourceApplyAdam/ReadVariableOp",
  83509. "input4": "training/TFOptimizer/Adam/update_1_2/update_conv2d/kernel/replica_1/ResourceApplyAdam/ReadVariableOp_1",
  83510. "input5": "training/TFOptimizer/Adam/learning_rate/_1419",
  83511. "input6": "training/TFOptimizer/Adam/beta1/_1421",
  83512. "input7": "training/TFOptimizer/Adam/beta2/_1423",
  83513. "input8": "training/TFOptimizer/Adam/epsilon/_1425",
  83514. "input9": "training/TFOptimizer/Reshape_82"
  83515. }
  83516. },
  83517. {
  83518. "ph": "s",
  83519. "cat": "DataFlow",
  83520. "name": "training/TFOptimizer/Adam/learning_rate",
  83521. "pid": 41,
  83522. "tid": 0,
  83523. "ts": 1539815912099124,
  83524. "id": 272
  83525. },
  83526. {
  83527. "ph": "t",
  83528. "cat": "DataFlow",
  83529. "name": "training/TFOptimizer/Adam/learning_rate",
  83530. "pid": 39,
  83531. "tid": 0,
  83532. "ts": 1539815917570162,
  83533. "id": 272
  83534. },
  83535. {
  83536. "ph": "s",
  83537. "cat": "DataFlow",
  83538. "name": "training/TFOptimizer/Adam/beta1",
  83539. "pid": 41,
  83540. "tid": 0,
  83541. "ts": 1539815912099133,
  83542. "id": 273
  83543. },
  83544. {
  83545. "ph": "t",
  83546. "cat": "DataFlow",
  83547. "name": "training/TFOptimizer/Adam/beta1",
  83548. "pid": 39,
  83549. "tid": 0,
  83550. "ts": 1539815917570162,
  83551. "id": 273
  83552. },
  83553. {
  83554. "ph": "s",
  83555. "cat": "DataFlow",
  83556. "name": "training/TFOptimizer/Adam/beta2",
  83557. "pid": 41,
  83558. "tid": 0,
  83559. "ts": 1539815912099143,
  83560. "id": 274
  83561. },
  83562. {
  83563. "ph": "t",
  83564. "cat": "DataFlow",
  83565. "name": "training/TFOptimizer/Adam/beta2",
  83566. "pid": 39,
  83567. "tid": 0,
  83568. "ts": 1539815917570162,
  83569. "id": 274
  83570. },
  83571. {
  83572. "ph": "s",
  83573. "cat": "DataFlow",
  83574. "name": "training/TFOptimizer/Adam/epsilon",
  83575. "pid": 41,
  83576. "tid": 0,
  83577. "ts": 1539815912099150,
  83578. "id": 275
  83579. },
  83580. {
  83581. "ph": "t",
  83582. "cat": "DataFlow",
  83583. "name": "training/TFOptimizer/Adam/epsilon",
  83584. "pid": 39,
  83585. "tid": 0,
  83586. "ts": 1539815917570162,
  83587. "id": 275
  83588. },
  83589. {
  83590. "ph": "X",
  83591. "cat": "Op",
  83592. "name": "ResourceApplyAdam",
  83593. "pid": 39,
  83594. "tid": 0,
  83595. "ts": 1539815917570271,
  83596. "dur": 96,
  83597. "args": {
  83598. "name": "training/TFOptimizer/Adam/update_1_6/update_conv2d_1/kernel/replica_1/ResourceApplyAdam",
  83599. "op": "ResourceApplyAdam",
  83600. "input0": "conv2d_1/kernel/replica_1",
  83601. "input1": "conv2d_1/kernel/Adam/replica_1",
  83602. "input2": "conv2d_1/kernel/Adam_1/replica_1",
  83603. "input3": "training/TFOptimizer/Adam/update_1_6/update_conv2d_1/kernel/replica_1/ResourceApplyAdam/ReadVariableOp",
  83604. "input4": "training/TFOptimizer/Adam/update_1_6/update_conv2d_1/kernel/replica_1/ResourceApplyAdam/ReadVariableOp_1",
  83605. "input5": "training/TFOptimizer/Adam/learning_rate/_1419",
  83606. "input6": "training/TFOptimizer/Adam/beta1/_1421",
  83607. "input7": "training/TFOptimizer/Adam/beta2/_1423",
  83608. "input8": "training/TFOptimizer/Adam/epsilon/_1425",
  83609. "input9": "training/TFOptimizer/Reshape_86"
  83610. }
  83611. },
  83612. {
  83613. "ph": "s",
  83614. "cat": "DataFlow",
  83615. "name": "training/TFOptimizer/Adam/learning_rate",
  83616. "pid": 41,
  83617. "tid": 0,
  83618. "ts": 1539815912099124,
  83619. "id": 276
  83620. },
  83621. {
  83622. "ph": "t",
  83623. "cat": "DataFlow",
  83624. "name": "training/TFOptimizer/Adam/learning_rate",
  83625. "pid": 39,
  83626. "tid": 0,
  83627. "ts": 1539815917570271,
  83628. "id": 276
  83629. },
  83630. {
  83631. "ph": "s",
  83632. "cat": "DataFlow",
  83633. "name": "training/TFOptimizer/Adam/beta1",
  83634. "pid": 41,
  83635. "tid": 0,
  83636. "ts": 1539815912099133,
  83637. "id": 277
  83638. },
  83639. {
  83640. "ph": "t",
  83641. "cat": "DataFlow",
  83642. "name": "training/TFOptimizer/Adam/beta1",
  83643. "pid": 39,
  83644. "tid": 0,
  83645. "ts": 1539815917570271,
  83646. "id": 277
  83647. },
  83648. {
  83649. "ph": "s",
  83650. "cat": "DataFlow",
  83651. "name": "training/TFOptimizer/Adam/beta2",
  83652. "pid": 41,
  83653. "tid": 0,
  83654. "ts": 1539815912099143,
  83655. "id": 278
  83656. },
  83657. {
  83658. "ph": "t",
  83659. "cat": "DataFlow",
  83660. "name": "training/TFOptimizer/Adam/beta2",
  83661. "pid": 39,
  83662. "tid": 0,
  83663. "ts": 1539815917570271,
  83664. "id": 278
  83665. },
  83666. {
  83667. "ph": "s",
  83668. "cat": "DataFlow",
  83669. "name": "training/TFOptimizer/Adam/epsilon",
  83670. "pid": 41,
  83671. "tid": 0,
  83672. "ts": 1539815912099150,
  83673. "id": 279
  83674. },
  83675. {
  83676. "ph": "t",
  83677. "cat": "DataFlow",
  83678. "name": "training/TFOptimizer/Adam/epsilon",
  83679. "pid": 39,
  83680. "tid": 0,
  83681. "ts": 1539815917570271,
  83682. "id": 279
  83683. },
  83684. {
  83685. "ph": "X",
  83686. "cat": "Op",
  83687. "name": "NoOp",
  83688. "pid": 39,
  83689. "tid": 0,
  83690. "ts": 1539815917570376,
  83691. "dur": 9,
  83692. "args": {
  83693. "name": "training/TFOptimizer/Adam/update_0_16/update/NoOp_1",
  83694. "op": "NoOp",
  83695. "input0": "^training/TFOptimizer/Adam/update_1/update_batch_normalization/gamma/replica_1/ResourceApplyAdam",
  83696. "input1": "^training/TFOptimizer/Adam/update_1_1/update_batch_normalization/beta/replica_1/ResourceApplyAdam",
  83697. "input2": "^training/TFOptimizer/Adam/update_1_10/update_conv2d_2/kernel/replica_1/ResourceApplyAdam",
  83698. "input3": "^training/TFOptimizer/Adam/update_1_11/update_conv2d_2/bias/replica_1/ResourceApplyAdam",
  83699. "input4": "^training/TFOptimizer/Adam/update_1_12/update_dense/kernel/replica_1/ResourceApplyAdam",
  83700. "input5": "^training/TFOptimizer/Adam/update_1_13/update_dense/bias/replica_1/ResourceApplyAdam",
  83701. "input6": "^training/TFOptimizer/Adam/update_1_14/update_dense_1/kernel/replica_1/ResourceApplyAdam",
  83702. "input7": "^training/TFOptimizer/Adam/update_1_15/update_dense_1/bias/replica_1/ResourceApplyAdam",
  83703. "input8": "^training/TFOptimizer/Adam/update_1_2/update_conv2d/kernel/replica_1/ResourceApplyAdam",
  83704. "input9": "^training/TFOptimizer/Adam/update_1_3/update_conv2d/bias/replica_1/ResourceApplyAdam",
  83705. "input10": "^training/TFOptimizer/Adam/update_1_4/update_batch_normalization_1/gamma/replica_1/ResourceApplyAdam",
  83706. "input11": "^training/TFOptimizer/Adam/update_1_5/update_batch_normalization_1/beta/replica_1/ResourceApplyAdam",
  83707. "input12": "^training/TFOptimizer/Adam/update_1_6/update_conv2d_1/kernel/replica_1/ResourceApplyAdam",
  83708. "input13": "^training/TFOptimizer/Adam/update_1_7/update_conv2d_1/bias/replica_1/ResourceApplyAdam",
  83709. "input14": "^training/TFOptimizer/Adam/update_1_8/update_batch_normalization_2/gamma/replica_1/ResourceApplyAdam",
  83710. "input15": "^training/TFOptimizer/Adam/update_1_9/update_batch_normalization_2/beta/replica_1/ResourceApplyAdam"
  83711. }
  83712. },
  83713. {
  83714. "ph": "X",
  83715. "cat": "Op",
  83716. "name": "Const",
  83717. "pid": 39,
  83718. "tid": 0,
  83719. "ts": 1539815917570395,
  83720. "dur": 10,
  83721. "args": {
  83722. "name": "GroupCrossDeviceControlEdges_1/training/TFOptimizer/Adam/update_2_16/ReadVariableOp_2/_1438",
  83723. "op": "Const",
  83724. "input0": "^GroupCrossDeviceControlEdges_1/training/TFOptimizer/Adam/update_2_16/ReadVariableOp_2"
  83725. }
  83726. },
  83727. {
  83728. "ph": "X",
  83729. "cat": "Op",
  83730. "name": "Const",
  83731. "pid": 39,
  83732. "tid": 0,
  83733. "ts": 1539815917570408,
  83734. "dur": 4,
  83735. "args": {
  83736. "name": "GroupCrossDeviceControlEdges_1/training/TFOptimizer/Adam/update_3_16/ReadVariableOp/_1462",
  83737. "op": "Const",
  83738. "input0": "^GroupCrossDeviceControlEdges_1/training/TFOptimizer/Adam/update_3_16/ReadVariableOp"
  83739. }
  83740. },
  83741. {
  83742. "ph": "X",
  83743. "cat": "Op",
  83744. "name": "Const",
  83745. "pid": 39,
  83746. "tid": 0,
  83747. "ts": 1539815917570415,
  83748. "dur": 7,
  83749. "args": {
  83750. "name": "GroupCrossDeviceControlEdges_1/training/TFOptimizer/Adam/update_3_16/ReadVariableOp_2/_1474",
  83751. "op": "Const",
  83752. "input0": "^GroupCrossDeviceControlEdges_1/training/TFOptimizer/Adam/update_3_16/ReadVariableOp_2"
  83753. }
  83754. },
  83755. {
  83756. "ph": "X",
  83757. "cat": "Op",
  83758. "name": "Const",
  83759. "pid": 39,
  83760. "tid": 0,
  83761. "ts": 1539815917570425,
  83762. "dur": 4,
  83763. "args": {
  83764. "name": "GroupCrossDeviceControlEdges_0/training/TFOptimizer/Adam/update_0_16/ReadVariableOp/_1482",
  83765. "op": "Const",
  83766. "input0": "^GroupCrossDeviceControlEdges_0/training/TFOptimizer/Adam/update_0_16/ReadVariableOp"
  83767. }
  83768. },
  83769. {
  83770. "ph": "X",
  83771. "cat": "Op",
  83772. "name": "Const",
  83773. "pid": 39,
  83774. "tid": 0,
  83775. "ts": 1539815917570432,
  83776. "dur": 4,
  83777. "args": {
  83778. "name": "GroupCrossDeviceControlEdges_0/training/TFOptimizer/Adam/update_0_16/ReadVariableOp_2/_1494",
  83779. "op": "Const",
  83780. "input0": "^GroupCrossDeviceControlEdges_0/training/TFOptimizer/Adam/update_0_16/ReadVariableOp_2"
  83781. }
  83782. },
  83783. {
  83784. "ph": "X",
  83785. "cat": "Op",
  83786. "name": "Const",
  83787. "pid": 39,
  83788. "tid": 0,
  83789. "ts": 1539815917570438,
  83790. "dur": 7,
  83791. "args": {
  83792. "name": "GroupCrossDeviceControlEdges_1/training/TFOptimizer/Adam/update_2_16/ReadVariableOp/_1450",
  83793. "op": "Const",
  83794. "input0": "^GroupCrossDeviceControlEdges_1/training/TFOptimizer/Adam/update_2_16/ReadVariableOp"
  83795. }
  83796. },
  83797. {
  83798. "ph": "X",
  83799. "cat": "Op",
  83800. "name": "Const",
  83801. "pid": 39,
  83802. "tid": 0,
  83803. "ts": 1539815917570448,
  83804. "dur": 4,
  83805. "args": {
  83806. "name": "training/TFOptimizer/Adam/update_0_16/update/NoOp_1/_1534",
  83807. "op": "Const",
  83808. "input0": "^training/TFOptimizer/Adam/update_0_16/update/NoOp_1"
  83809. }
  83810. },
  83811. {
  83812. "ph": "X",
  83813. "cat": "Op",
  83814. "name": "Const",
  83815. "pid": 39,
  83816. "tid": 0,
  83817. "ts": 1539815917570454,
  83818. "dur": 4,
  83819. "args": {
  83820. "name": "training/TFOptimizer/Adam/update_0_16/update/NoOp_1/_1546",
  83821. "op": "Const",
  83822. "input0": "^training/TFOptimizer/Adam/update_0_16/update/NoOp_1"
  83823. }
  83824. },
  83825. {
  83826. "ph": "X",
  83827. "cat": "Op",
  83828. "name": "Const",
  83829. "pid": 39,
  83830. "tid": 0,
  83831. "ts": 1539815917570461,
  83832. "dur": 7,
  83833. "args": {
  83834. "name": "training/TFOptimizer/Adam/update_0_16/update/NoOp_1/_1554",
  83835. "op": "Const",
  83836. "input0": "^training/TFOptimizer/Adam/update_0_16/update/NoOp_1"
  83837. }
  83838. },
  83839. {
  83840. "ph": "X",
  83841. "cat": "Op",
  83842. "name": "Identity",
  83843. "pid": 39,
  83844. "tid": 0,
  83845. "ts": 1539815917570709,
  83846. "dur": 9,
  83847. "args": {
  83848. "name": "GroupCrossDeviceControlEdges_1/training/TFOptimizer/Adam/update_1_16/ReadVariableOp_2/_1525",
  83849. "op": "Identity",
  83850. "input0": "GroupCrossDeviceControlEdges_1/training/TFOptimizer/Adam/update_1_16/ReadVariableOp_2/_1524"
  83851. }
  83852. },
  83853. {
  83854. "ph": "X",
  83855. "cat": "Op",
  83856. "name": "Identity",
  83857. "pid": 39,
  83858. "tid": 0,
  83859. "ts": 1539815917570720,
  83860. "dur": 9,
  83861. "args": {
  83862. "name": "GroupCrossDeviceControlEdges_1/training/TFOptimizer/Adam/update_1_16/ReadVariableOp/_1513",
  83863. "op": "Identity",
  83864. "input0": "GroupCrossDeviceControlEdges_1/training/TFOptimizer/Adam/update_1_16/ReadVariableOp/_1512"
  83865. }
  83866. },
  83867. {
  83868. "ph": "X",
  83869. "cat": "Op",
  83870. "name": "Identity",
  83871. "pid": 39,
  83872. "tid": 0,
  83873. "ts": 1539815917570792,
  83874. "dur": 6,
  83875. "args": {
  83876. "name": "training/TFOptimizer/Adam/update_0_16/update/NoOp_2/_1573",
  83877. "op": "Identity",
  83878. "input0": "training/TFOptimizer/Adam/update_0_16/update/NoOp_2/_1572"
  83879. }
  83880. },
  83881. {
  83882. "ph": "X",
  83883. "cat": "Op",
  83884. "name": "Identity",
  83885. "pid": 39,
  83886. "tid": 0,
  83887. "ts": 1539815917570952,
  83888. "dur": 6,
  83889. "args": {
  83890. "name": "GroupCrossDeviceControlEdges_0/training/TFOptimizer/Adam/update_1_16/ReadVariableOp/_1509",
  83891. "op": "Identity",
  83892. "input0": "GroupCrossDeviceControlEdges_0/training/TFOptimizer/Adam/update_1_16/ReadVariableOp/_1508"
  83893. }
  83894. },
  83895. {
  83896. "ph": "X",
  83897. "cat": "Op",
  83898. "name": "Identity",
  83899. "pid": 39,
  83900. "tid": 0,
  83901. "ts": 1539815917570961,
  83902. "dur": 7,
  83903. "args": {
  83904. "name": "training/TFOptimizer/Adam/update_0_16/update/NoOp_3/_1577",
  83905. "op": "Identity",
  83906. "input0": "training/TFOptimizer/Adam/update_0_16/update/NoOp_3/_1576"
  83907. }
  83908. },
  83909. {
  83910. "ph": "X",
  83911. "cat": "Op",
  83912. "name": "Identity",
  83913. "pid": 39,
  83914. "tid": 0,
  83915. "ts": 1539815917570999,
  83916. "dur": 11,
  83917. "args": {
  83918. "name": "GroupCrossDeviceControlEdges_0/training/TFOptimizer/Adam/update_1_16/ReadVariableOp_2/_1521",
  83919. "op": "Identity",
  83920. "input0": "GroupCrossDeviceControlEdges_0/training/TFOptimizer/Adam/update_1_16/ReadVariableOp_2/_1520"
  83921. }
  83922. },
  83923. {
  83924. "ph": "X",
  83925. "cat": "Op",
  83926. "name": "Identity",
  83927. "pid": 39,
  83928. "tid": 0,
  83929. "ts": 1539815917571088,
  83930. "dur": 6,
  83931. "args": {
  83932. "name": "training/TFOptimizer/Adam/update_1_16/update/NoOp/_1569",
  83933. "op": "Identity",
  83934. "input0": "training/TFOptimizer/Adam/update_1_16/update/NoOp/_1568"
  83935. }
  83936. },
  83937. {
  83938. "ph": "X",
  83939. "cat": "Op",
  83940. "name": "Identity",
  83941. "pid": 39,
  83942. "tid": 0,
  83943. "ts": 1539815917571130,
  83944. "dur": 12,
  83945. "args": {
  83946. "name": "GroupCrossDeviceControlEdges_2/training/TFOptimizer/Adam/update_1_16/ReadVariableOp/_1517",
  83947. "op": "Identity",
  83948. "input0": "GroupCrossDeviceControlEdges_2/training/TFOptimizer/Adam/update_1_16/ReadVariableOp/_1516"
  83949. }
  83950. },
  83951. {
  83952. "ph": "X",
  83953. "cat": "Op",
  83954. "name": "ReadVariableOp",
  83955. "pid": 39,
  83956. "tid": 0,
  83957. "ts": 1539815917571146,
  83958. "dur": 11,
  83959. "args": {
  83960. "name": "training/TFOptimizer/Adam/update_1_16/ReadVariableOp",
  83961. "op": "ReadVariableOp",
  83962. "input0": "training/TFOptimizer/beta1_power/replica_1",
  83963. "input1": "^training/TFOptimizer/Adam/update_1_9/update_batch_normalization_2/beta/replica_1/ResourceApplyAdam",
  83964. "input2": "^training/TFOptimizer/Adam/update_1_8/update_batch_normalization_2/gamma/replica_1/ResourceApplyAdam",
  83965. "input3": "^training/TFOptimizer/Adam/update_1_7/update_conv2d_1/bias/replica_1/ResourceApplyAdam",
  83966. "input4": "^training/TFOptimizer/Adam/update_1_6/update_conv2d_1/kernel/replica_1/ResourceApplyAdam",
  83967. "input5": "^training/TFOptimizer/Adam/update_1_5/update_batch_normalization_1/beta/replica_1/ResourceApplyAdam",
  83968. "input6": "^training/TFOptimizer/Adam/update_1_4/update_batch_normalization_1/gamma/replica_1/ResourceApplyAdam",
  83969. "input7": "^training/TFOptimizer/Adam/update_1_3/update_conv2d/bias/replica_1/ResourceApplyAdam",
  83970. "input8": "^training/TFOptimizer/Adam/update_1_2/update_conv2d/kernel/replica_1/ResourceApplyAdam",
  83971. "input9": "^training/TFOptimizer/Adam/update_1_15/update_dense_1/bias/replica_1/ResourceApplyAdam",
  83972. "input10": "^training/TFOptimizer/Adam/update_1_14/update_dense_1/kernel/replica_1/ResourceApplyAdam",
  83973. "input11": "^training/TFOptimizer/Adam/update_1_13/update_dense/bias/replica_1/ResourceApplyAdam",
  83974. "input12": "^training/TFOptimizer/Adam/update_1_12/update_dense/kernel/replica_1/ResourceApplyAdam",
  83975. "input13": "^training/TFOptimizer/Adam/update_1_11/update_conv2d_2/bias/replica_1/ResourceApplyAdam",
  83976. "input14": "^training/TFOptimizer/Adam/update_1_10/update_conv2d_2/kernel/replica_1/ResourceApplyAdam",
  83977. "input15": "^training/TFOptimizer/Adam/update_1_1/update_batch_normalization/beta/replica_1/ResourceApplyAdam",
  83978. "input16": "^training/TFOptimizer/Adam/update_1/update_batch_normalization/gamma/replica_1/ResourceApplyAdam",
  83979. "input17": "^GroupCrossDeviceControlEdges_0/training/TFOptimizer/Adam/update_1_16/ReadVariableOp/_1509",
  83980. "input18": "^GroupCrossDeviceControlEdges_1/training/TFOptimizer/Adam/update_1_16/ReadVariableOp/_1513",
  83981. "input19": "^GroupCrossDeviceControlEdges_2/training/TFOptimizer/Adam/update_1_16/ReadVariableOp/_1517"
  83982. }
  83983. },
  83984. {
  83985. "ph": "X",
  83986. "cat": "Op",
  83987. "name": "Identity",
  83988. "pid": 39,
  83989. "tid": 0,
  83990. "ts": 1539815917571172,
  83991. "dur": 5,
  83992. "args": {
  83993. "name": "training/TFOptimizer/Adam/update_3_16/update/_1601",
  83994. "op": "Identity",
  83995. "input0": "training/TFOptimizer/Adam/update_3_16/update/_1600"
  83996. }
  83997. },
  83998. {
  83999. "ph": "X",
  84000. "cat": "Op",
  84001. "name": "Identity",
  84002. "pid": 39,
  84003. "tid": 1,
  84004. "ts": 1539815917571159,
  84005. "dur": 17,
  84006. "args": {
  84007. "name": "GroupCrossDeviceControlEdges_2/training/TFOptimizer/Adam/update_1_16/ReadVariableOp_2/_1529",
  84008. "op": "Identity",
  84009. "input0": "GroupCrossDeviceControlEdges_2/training/TFOptimizer/Adam/update_1_16/ReadVariableOp_2/_1528"
  84010. }
  84011. },
  84012. {
  84013. "ph": "X",
  84014. "cat": "Op",
  84015. "name": "ReadVariableOp",
  84016. "pid": 39,
  84017. "tid": 0,
  84018. "ts": 1539815917571183,
  84019. "dur": 13,
  84020. "args": {
  84021. "name": "training/TFOptimizer/Adam/update_1_16/ReadVariableOp_2",
  84022. "op": "ReadVariableOp",
  84023. "input0": "training/TFOptimizer/beta2_power/replica_1",
  84024. "input1": "^training/TFOptimizer/Adam/update_1_9/update_batch_normalization_2/beta/replica_1/ResourceApplyAdam",
  84025. "input2": "^training/TFOptimizer/Adam/update_1_8/update_batch_normalization_2/gamma/replica_1/ResourceApplyAdam",
  84026. "input3": "^training/TFOptimizer/Adam/update_1_7/update_conv2d_1/bias/replica_1/ResourceApplyAdam",
  84027. "input4": "^training/TFOptimizer/Adam/update_1_6/update_conv2d_1/kernel/replica_1/ResourceApplyAdam",
  84028. "input5": "^training/TFOptimizer/Adam/update_1_5/update_batch_normalization_1/beta/replica_1/ResourceApplyAdam",
  84029. "input6": "^training/TFOptimizer/Adam/update_1_4/update_batch_normalization_1/gamma/replica_1/ResourceApplyAdam",
  84030. "input7": "^training/TFOptimizer/Adam/update_1_3/update_conv2d/bias/replica_1/ResourceApplyAdam",
  84031. "input8": "^training/TFOptimizer/Adam/update_1_2/update_conv2d/kernel/replica_1/ResourceApplyAdam",
  84032. "input9": "^training/TFOptimizer/Adam/update_1_15/update_dense_1/bias/replica_1/ResourceApplyAdam",
  84033. "input10": "^training/TFOptimizer/Adam/update_1_14/update_dense_1/kernel/replica_1/ResourceApplyAdam",
  84034. "input11": "^training/TFOptimizer/Adam/update_1_13/update_dense/bias/replica_1/ResourceApplyAdam",
  84035. "input12": "^training/TFOptimizer/Adam/update_1_12/update_dense/kernel/replica_1/ResourceApplyAdam",
  84036. "input13": "^training/TFOptimizer/Adam/update_1_11/update_conv2d_2/bias/replica_1/ResourceApplyAdam",
  84037. "input14": "^training/TFOptimizer/Adam/update_1_10/update_conv2d_2/kernel/replica_1/ResourceApplyAdam",
  84038. "input15": "^training/TFOptimizer/Adam/update_1_1/update_batch_normalization/beta/replica_1/ResourceApplyAdam",
  84039. "input16": "^training/TFOptimizer/Adam/update_1/update_batch_normalization/gamma/replica_1/ResourceApplyAdam",
  84040. "input17": "^GroupCrossDeviceControlEdges_0/training/TFOptimizer/Adam/update_1_16/ReadVariableOp_2/_1521",
  84041. "input18": "^GroupCrossDeviceControlEdges_1/training/TFOptimizer/Adam/update_1_16/ReadVariableOp_2/_1525",
  84042. "input19": "^GroupCrossDeviceControlEdges_2/training/TFOptimizer/Adam/update_1_16/ReadVariableOp_2/_1529"
  84043. }
  84044. },
  84045. {
  84046. "ph": "X",
  84047. "cat": "Op",
  84048. "name": "Mul",
  84049. "pid": 39,
  84050. "tid": 2,
  84051. "ts": 1539815917571170,
  84052. "dur": 43,
  84053. "args": {
  84054. "name": "training/TFOptimizer/Adam/update_1_16/mul",
  84055. "op": "Mul",
  84056. "input0": "training/TFOptimizer/Adam/update_1_16/ReadVariableOp",
  84057. "input1": "training/TFOptimizer/Adam/beta1/_1421"
  84058. }
  84059. },
  84060. {
  84061. "ph": "s",
  84062. "cat": "DataFlow",
  84063. "name": "training/TFOptimizer/Adam/update_1_16/ReadVariableOp",
  84064. "pid": 39,
  84065. "tid": 0,
  84066. "ts": 1539815917571157,
  84067. "id": 280
  84068. },
  84069. {
  84070. "ph": "t",
  84071. "cat": "DataFlow",
  84072. "name": "training/TFOptimizer/Adam/update_1_16/ReadVariableOp",
  84073. "pid": 39,
  84074. "tid": 2,
  84075. "ts": 1539815917571170,
  84076. "id": 280
  84077. },
  84078. {
  84079. "ph": "s",
  84080. "cat": "DataFlow",
  84081. "name": "training/TFOptimizer/Adam/beta1",
  84082. "pid": 41,
  84083. "tid": 0,
  84084. "ts": 1539815912099133,
  84085. "id": 281
  84086. },
  84087. {
  84088. "ph": "t",
  84089. "cat": "DataFlow",
  84090. "name": "training/TFOptimizer/Adam/beta1",
  84091. "pid": 39,
  84092. "tid": 2,
  84093. "ts": 1539815917571170,
  84094. "id": 281
  84095. },
  84096. {
  84097. "ph": "X",
  84098. "cat": "Op",
  84099. "name": "AssignVariableOp",
  84100. "pid": 39,
  84101. "tid": 0,
  84102. "ts": 1539815917571218,
  84103. "dur": 9,
  84104. "args": {
  84105. "name": "training/TFOptimizer/Adam/update_1_16/AssignVariableOp",
  84106. "op": "AssignVariableOp",
  84107. "input0": "training/TFOptimizer/beta1_power/replica_1",
  84108. "input1": "training/TFOptimizer/Adam/update_1_16/mul"
  84109. }
  84110. },
  84111. {
  84112. "ph": "s",
  84113. "cat": "DataFlow",
  84114. "name": "training/TFOptimizer/Adam/update_1_16/mul",
  84115. "pid": 39,
  84116. "tid": 2,
  84117. "ts": 1539815917571213,
  84118. "id": 282
  84119. },
  84120. {
  84121. "ph": "t",
  84122. "cat": "DataFlow",
  84123. "name": "training/TFOptimizer/Adam/update_1_16/mul",
  84124. "pid": 39,
  84125. "tid": 0,
  84126. "ts": 1539815917571218,
  84127. "id": 282
  84128. },
  84129. {
  84130. "ph": "X",
  84131. "cat": "Op",
  84132. "name": "ReadVariableOp",
  84133. "pid": 39,
  84134. "tid": 0,
  84135. "ts": 1539815917571232,
  84136. "dur": 8,
  84137. "args": {
  84138. "name": "training/TFOptimizer/Adam/update_1_16/ReadVariableOp_1",
  84139. "op": "ReadVariableOp",
  84140. "input0": "training/TFOptimizer/beta1_power/replica_1",
  84141. "input1": "^training/TFOptimizer/Adam/update_1_16/AssignVariableOp"
  84142. }
  84143. },
  84144. {
  84145. "ph": "X",
  84146. "cat": "Op",
  84147. "name": "Mul",
  84148. "pid": 39,
  84149. "tid": 1,
  84150. "ts": 1539815917571208,
  84151. "dur": 61,
  84152. "args": {
  84153. "name": "training/TFOptimizer/Adam/update_1_16/mul_1",
  84154. "op": "Mul",
  84155. "input0": "training/TFOptimizer/Adam/update_1_16/ReadVariableOp_2",
  84156. "input1": "training/TFOptimizer/Adam/beta2/_1423"
  84157. }
  84158. },
  84159. {
  84160. "ph": "s",
  84161. "cat": "DataFlow",
  84162. "name": "training/TFOptimizer/Adam/update_1_16/ReadVariableOp_2",
  84163. "pid": 39,
  84164. "tid": 0,
  84165. "ts": 1539815917571196,
  84166. "id": 283
  84167. },
  84168. {
  84169. "ph": "t",
  84170. "cat": "DataFlow",
  84171. "name": "training/TFOptimizer/Adam/update_1_16/ReadVariableOp_2",
  84172. "pid": 39,
  84173. "tid": 1,
  84174. "ts": 1539815917571208,
  84175. "id": 283
  84176. },
  84177. {
  84178. "ph": "s",
  84179. "cat": "DataFlow",
  84180. "name": "training/TFOptimizer/Adam/beta2",
  84181. "pid": 41,
  84182. "tid": 0,
  84183. "ts": 1539815912099143,
  84184. "id": 284
  84185. },
  84186. {
  84187. "ph": "t",
  84188. "cat": "DataFlow",
  84189. "name": "training/TFOptimizer/Adam/beta2",
  84190. "pid": 39,
  84191. "tid": 1,
  84192. "ts": 1539815917571208,
  84193. "id": 284
  84194. },
  84195. {
  84196. "ph": "X",
  84197. "cat": "Op",
  84198. "name": "AssignVariableOp",
  84199. "pid": 39,
  84200. "tid": 0,
  84201. "ts": 1539815917571275,
  84202. "dur": 12,
  84203. "args": {
  84204. "name": "training/TFOptimizer/Adam/update_1_16/AssignVariableOp_1",
  84205. "op": "AssignVariableOp",
  84206. "input0": "training/TFOptimizer/beta2_power/replica_1",
  84207. "input1": "training/TFOptimizer/Adam/update_1_16/mul_1"
  84208. }
  84209. },
  84210. {
  84211. "ph": "s",
  84212. "cat": "DataFlow",
  84213. "name": "training/TFOptimizer/Adam/update_1_16/mul_1",
  84214. "pid": 39,
  84215. "tid": 1,
  84216. "ts": 1539815917571269,
  84217. "id": 285
  84218. },
  84219. {
  84220. "ph": "t",
  84221. "cat": "DataFlow",
  84222. "name": "training/TFOptimizer/Adam/update_1_16/mul_1",
  84223. "pid": 39,
  84224. "tid": 0,
  84225. "ts": 1539815917571275,
  84226. "id": 285
  84227. },
  84228. {
  84229. "ph": "X",
  84230. "cat": "Op",
  84231. "name": "ReadVariableOp",
  84232. "pid": 39,
  84233. "tid": 0,
  84234. "ts": 1539815917571291,
  84235. "dur": 7,
  84236. "args": {
  84237. "name": "training/TFOptimizer/Adam/update_1_16/ReadVariableOp_3",
  84238. "op": "ReadVariableOp",
  84239. "input0": "training/TFOptimizer/beta2_power/replica_1",
  84240. "input1": "^training/TFOptimizer/Adam/update_1_16/AssignVariableOp_1"
  84241. }
  84242. },
  84243. {
  84244. "ph": "X",
  84245. "cat": "Op",
  84246. "name": "NoOp",
  84247. "pid": 39,
  84248. "tid": 0,
  84249. "ts": 1539815917571303,
  84250. "dur": 5,
  84251. "args": {
  84252. "name": "training/TFOptimizer/Adam/update_1_16/update",
  84253. "op": "NoOp",
  84254. "input0": "^training/TFOptimizer/Adam/update_1_16/update/NoOp/_1569",
  84255. "input1": "^training/TFOptimizer/Adam/update_1_16/ReadVariableOp_3",
  84256. "input2": "^training/TFOptimizer/Adam/update_0_16/update/NoOp_2/_1573",
  84257. "input3": "^training/TFOptimizer/Adam/update_0_16/update/NoOp_3/_1577",
  84258. "input4": "^training/TFOptimizer/Adam/update_1_16/ReadVariableOp_1"
  84259. }
  84260. },
  84261. {
  84262. "ph": "X",
  84263. "cat": "Op",
  84264. "name": "Const",
  84265. "pid": 39,
  84266. "tid": 0,
  84267. "ts": 1539815917571315,
  84268. "dur": 8,
  84269. "args": {
  84270. "name": "training/TFOptimizer/Adam/update_1_16/update/_1578",
  84271. "op": "Const",
  84272. "input0": "^training/TFOptimizer/Adam/update_1_16/update"
  84273. }
  84274. },
  84275. {
  84276. "ph": "X",
  84277. "cat": "Op",
  84278. "name": "Identity",
  84279. "pid": 39,
  84280. "tid": 1,
  84281. "ts": 1539815917571315,
  84282. "dur": 10,
  84283. "args": {
  84284. "name": "training/TFOptimizer/Adam/update_0_16/update/_1593",
  84285. "op": "Identity",
  84286. "input0": "training/TFOptimizer/Adam/update_0_16/update/_1592"
  84287. }
  84288. },
  84289. {
  84290. "ph": "X",
  84291. "cat": "Op",
  84292. "name": "Const",
  84293. "pid": 39,
  84294. "tid": 0,
  84295. "ts": 1539815917571327,
  84296. "dur": 7,
  84297. "args": {
  84298. "name": "training/TFOptimizer/Adam/update_1_16/update/_1606",
  84299. "op": "Const",
  84300. "input0": "^training/TFOptimizer/Adam/update_1_16/update"
  84301. }
  84302. },
  84303. {
  84304. "ph": "X",
  84305. "cat": "Op",
  84306. "name": "Const",
  84307. "pid": 39,
  84308. "tid": 0,
  84309. "ts": 1539815917571338,
  84310. "dur": 6,
  84311. "args": {
  84312. "name": "training/TFOptimizer/Adam/update_1_16/update/_1618",
  84313. "op": "Const",
  84314. "input0": "^training/TFOptimizer/Adam/update_1_16/update"
  84315. }
  84316. },
  84317. {
  84318. "ph": "X",
  84319. "cat": "Op",
  84320. "name": "Identity",
  84321. "pid": 39,
  84322. "tid": 0,
  84323. "ts": 1539815917571446,
  84324. "dur": 6,
  84325. "args": {
  84326. "name": "training/TFOptimizer/Adam/update_2_16/update/_1597",
  84327. "op": "Identity",
  84328. "input0": "training/TFOptimizer/Adam/update_2_16/update/_1596"
  84329. }
  84330. },
  84331. {
  84332. "ph": "X",
  84333. "cat": "Op",
  84334. "name": "Const",
  84335. "pid": 39,
  84336. "tid": 0,
  84337. "ts": 1539815917571455,
  84338. "dur": 7,
  84339. "args": {
  84340. "name": "training/TFOptimizer/Adam/update_1_17/Const",
  84341. "op": "Const",
  84342. "input0": "^training/TFOptimizer/Adam/update_0_16/update/_1593",
  84343. "input1": "^training/TFOptimizer/Adam/update_1_16/update",
  84344. "input2": "^training/TFOptimizer/Adam/update_2_16/update/_1597",
  84345. "input3": "^training/TFOptimizer/Adam/update_3_16/update/_1601"
  84346. }
  84347. },
  84348. {
  84349. "ph": "X",
  84350. "cat": "Op",
  84351. "name": "AssignAddVariableOp",
  84352. "pid": 39,
  84353. "tid": 0,
  84354. "ts": 1539815917571466,
  84355. "dur": 69,
  84356. "args": {
  84357. "name": "training/TFOptimizer/Adam/update_1_17/AssignAddVariableOp",
  84358. "op": "AssignAddVariableOp",
  84359. "input0": "global_step/replica_1",
  84360. "input1": "training/TFOptimizer/Adam/update_1_17/Const"
  84361. }
  84362. },
  84363. {
  84364. "ph": "X",
  84365. "cat": "Op",
  84366. "name": "ReadVariableOp",
  84367. "pid": 39,
  84368. "tid": 0,
  84369. "ts": 1539815917571540,
  84370. "dur": 9,
  84371. "args": {
  84372. "name": "training/TFOptimizer/Adam/update_1_17/ReadVariableOp",
  84373. "op": "ReadVariableOp",
  84374. "input0": "global_step/replica_1",
  84375. "input1": "^training/TFOptimizer/Adam/update_1_17/AssignAddVariableOp"
  84376. }
  84377. },
  84378. {
  84379. "ph": "X",
  84380. "cat": "Op",
  84381. "name": "Const",
  84382. "pid": 39,
  84383. "tid": 0,
  84384. "ts": 1539815917571553,
  84385. "dur": 5,
  84386. "args": {
  84387. "name": "training/TFOptimizer/Adam/update_1_17/ReadVariableOp/_1626",
  84388. "op": "Const",
  84389. "input0": "^training/TFOptimizer/Adam/update_1_17/ReadVariableOp"
  84390. }
  84391. },
  84392. {
  84393. "ph": "X",
  84394. "cat": "Op",
  84395. "name": "Identity",
  84396. "pid": 39,
  84397. "tid": 0,
  84398. "ts": 1539815917571819,
  84399. "dur": 11,
  84400. "args": {
  84401. "name": "training/TFOptimizer/Adam/group_deps/_1641",
  84402. "op": "Identity",
  84403. "input0": "training/TFOptimizer/Adam/group_deps/_1640"
  84404. }
  84405. },
  84406. {
  84407. "ph": "X",
  84408. "cat": "Op",
  84409. "name": "NoOp",
  84410. "pid": 39,
  84411. "tid": 0,
  84412. "ts": 1539815917571833,
  84413. "dur": 4,
  84414. "args": {
  84415. "name": "tower_1/training/group_deps",
  84416. "op": "NoOp",
  84417. "input0": "^tower_1/batch_normalization_2/AssignMovingAvg/AssignSubVariableOp",
  84418. "input1": "^tower_1/batch_normalization_2/AssignMovingAvg_1/AssignSubVariableOp",
  84419. "input2": "^training/TFOptimizer/Adam/group_deps/_1641",
  84420. "input3": "^tower_1/batch_normalization/AssignMovingAvg/AssignSubVariableOp",
  84421. "input4": "^tower_1/batch_normalization/AssignMovingAvg_1/AssignSubVariableOp",
  84422. "input5": "^tower_1/batch_normalization_1/AssignMovingAvg/AssignSubVariableOp",
  84423. "input6": "^tower_1/batch_normalization_1/AssignMovingAvg_1/AssignSubVariableOp"
  84424. }
  84425. },
  84426. {
  84427. "ph": "X",
  84428. "cat": "Op",
  84429. "name": "Const",
  84430. "pid": 39,
  84431. "tid": 0,
  84432. "ts": 1539815917571842,
  84433. "dur": 5,
  84434. "args": {
  84435. "name": "tower_1/training/group_deps/_1650",
  84436. "op": "Const",
  84437. "input0": "^tower_1/training/group_deps"
  84438. }
  84439. },
  84440. {
  84441. "ph": "X",
  84442. "cat": "Op",
  84443. "name": "NoOp",
  84444. "pid": 41,
  84445. "tid": 0,
  84446. "ts": 1539815912098235,
  84447. "dur": 37,
  84448. "args": {
  84449. "name": "_SOURCE",
  84450. "op": "NoOp"
  84451. }
  84452. },
  84453. {
  84454. "ph": "X",
  84455. "cat": "Op",
  84456. "name": "VarHandleOp",
  84457. "pid": 41,
  84458. "tid": 0,
  84459. "ts": 1539815912098439,
  84460. "dur": 14,
  84461. "args": {
  84462. "name": "batch_normalization/moving_mean",
  84463. "op": "VarHandleOp"
  84464. }
  84465. },
  84466. {
  84467. "ph": "X",
  84468. "cat": "Op",
  84469. "name": "Const",
  84470. "pid": 41,
  84471. "tid": 0,
  84472. "ts": 1539815912098458,
  84473. "dur": 12,
  84474. "args": {
  84475. "name": "batch_normalization/AssignMovingAvg/sub",
  84476. "op": "Const"
  84477. }
  84478. },
  84479. {
  84480. "ph": "X",
  84481. "cat": "Op",
  84482. "name": "VarHandleOp",
  84483. "pid": 41,
  84484. "tid": 0,
  84485. "ts": 1539815912098473,
  84486. "dur": 5,
  84487. "args": {
  84488. "name": "batch_normalization/moving_variance",
  84489. "op": "VarHandleOp"
  84490. }
  84491. },
  84492. {
  84493. "ph": "X",
  84494. "cat": "Op",
  84495. "name": "VarHandleOp",
  84496. "pid": 41,
  84497. "tid": 0,
  84498. "ts": 1539815912098482,
  84499. "dur": 4,
  84500. "args": {
  84501. "name": "batch_normalization_1/moving_mean",
  84502. "op": "VarHandleOp"
  84503. }
  84504. },
  84505. {
  84506. "ph": "X",
  84507. "cat": "Op",
  84508. "name": "VarHandleOp",
  84509. "pid": 41,
  84510. "tid": 0,
  84511. "ts": 1539815912098488,
  84512. "dur": 5,
  84513. "args": {
  84514. "name": "batch_normalization_1/moving_variance",
  84515. "op": "VarHandleOp"
  84516. }
  84517. },
  84518. {
  84519. "ph": "X",
  84520. "cat": "Op",
  84521. "name": "VarHandleOp",
  84522. "pid": 41,
  84523. "tid": 0,
  84524. "ts": 1539815912098497,
  84525. "dur": 5,
  84526. "args": {
  84527. "name": "batch_normalization_2/moving_mean",
  84528. "op": "VarHandleOp"
  84529. }
  84530. },
  84531. {
  84532. "ph": "X",
  84533. "cat": "Op",
  84534. "name": "VarHandleOp",
  84535. "pid": 41,
  84536. "tid": 0,
  84537. "ts": 1539815912098505,
  84538. "dur": 5,
  84539. "args": {
  84540. "name": "batch_normalization_2/moving_variance",
  84541. "op": "VarHandleOp"
  84542. }
  84543. },
  84544. {
  84545. "ph": "X",
  84546. "cat": "Op",
  84547. "name": "Const",
  84548. "pid": 41,
  84549. "tid": 0,
  84550. "ts": 1539815912098512,
  84551. "dur": 10,
  84552. "args": {
  84553. "name": "metrics/sparse_categorical_accuracy/Max/reduction_indices",
  84554. "op": "Const"
  84555. }
  84556. },
  84557. {
  84558. "ph": "X",
  84559. "cat": "Op",
  84560. "name": "Const",
  84561. "pid": 41,
  84562. "tid": 0,
  84563. "ts": 1539815912098523,
  84564. "dur": 7,
  84565. "args": {
  84566. "name": "metrics/sparse_categorical_accuracy/Const",
  84567. "op": "Const"
  84568. }
  84569. },
  84570. {
  84571. "ph": "X",
  84572. "cat": "Op",
  84573. "name": "VarHandleOp",
  84574. "pid": 41,
  84575. "tid": 0,
  84576. "ts": 1539815912098532,
  84577. "dur": 5,
  84578. "args": {
  84579. "name": "global_step",
  84580. "op": "VarHandleOp"
  84581. }
  84582. },
  84583. {
  84584. "ph": "X",
  84585. "cat": "Op",
  84586. "name": "VarHandleOp",
  84587. "pid": 41,
  84588. "tid": 0,
  84589. "ts": 1539815912098539,
  84590. "dur": 5,
  84591. "args": {
  84592. "name": "batch_normalization/gamma/Adam",
  84593. "op": "VarHandleOp"
  84594. }
  84595. },
  84596. {
  84597. "ph": "X",
  84598. "cat": "Op",
  84599. "name": "VarHandleOp",
  84600. "pid": 41,
  84601. "tid": 0,
  84602. "ts": 1539815912098546,
  84603. "dur": 6,
  84604. "args": {
  84605. "name": "batch_normalization/gamma/Adam_1",
  84606. "op": "VarHandleOp"
  84607. }
  84608. },
  84609. {
  84610. "ph": "X",
  84611. "cat": "Op",
  84612. "name": "VarHandleOp",
  84613. "pid": 41,
  84614. "tid": 0,
  84615. "ts": 1539815912098553,
  84616. "dur": 5,
  84617. "args": {
  84618. "name": "batch_normalization/beta/Adam",
  84619. "op": "VarHandleOp"
  84620. }
  84621. },
  84622. {
  84623. "ph": "X",
  84624. "cat": "Op",
  84625. "name": "VarHandleOp",
  84626. "pid": 41,
  84627. "tid": 0,
  84628. "ts": 1539815912098560,
  84629. "dur": 4,
  84630. "args": {
  84631. "name": "batch_normalization/beta/Adam_1",
  84632. "op": "VarHandleOp"
  84633. }
  84634. },
  84635. {
  84636. "ph": "X",
  84637. "cat": "Op",
  84638. "name": "VarHandleOp",
  84639. "pid": 41,
  84640. "tid": 0,
  84641. "ts": 1539815912098567,
  84642. "dur": 5,
  84643. "args": {
  84644. "name": "conv2d_2/kernel/Adam",
  84645. "op": "VarHandleOp"
  84646. }
  84647. },
  84648. {
  84649. "ph": "X",
  84650. "cat": "Op",
  84651. "name": "VarHandleOp",
  84652. "pid": 41,
  84653. "tid": 0,
  84654. "ts": 1539815912098574,
  84655. "dur": 4,
  84656. "args": {
  84657. "name": "conv2d_2/kernel/Adam_1",
  84658. "op": "VarHandleOp"
  84659. }
  84660. },
  84661. {
  84662. "ph": "X",
  84663. "cat": "Op",
  84664. "name": "Const",
  84665. "pid": 41,
  84666. "tid": 0,
  84667. "ts": 1539815912098581,
  84668. "dur": 4,
  84669. "args": {
  84670. "name": "training/TFOptimizer/Shape_10",
  84671. "op": "Const"
  84672. }
  84673. },
  84674. {
  84675. "ph": "X",
  84676. "cat": "Op",
  84677. "name": "VarHandleOp",
  84678. "pid": 41,
  84679. "tid": 0,
  84680. "ts": 1539815912098587,
  84681. "dur": 5,
  84682. "args": {
  84683. "name": "conv2d_2/bias/Adam",
  84684. "op": "VarHandleOp"
  84685. }
  84686. },
  84687. {
  84688. "ph": "X",
  84689. "cat": "Op",
  84690. "name": "VarHandleOp",
  84691. "pid": 41,
  84692. "tid": 0,
  84693. "ts": 1539815912098594,
  84694. "dur": 4,
  84695. "args": {
  84696. "name": "conv2d_2/bias/Adam_1",
  84697. "op": "VarHandleOp"
  84698. }
  84699. },
  84700. {
  84701. "ph": "X",
  84702. "cat": "Op",
  84703. "name": "VarHandleOp",
  84704. "pid": 41,
  84705. "tid": 0,
  84706. "ts": 1539815912098600,
  84707. "dur": 7,
  84708. "args": {
  84709. "name": "dense/kernel/Adam",
  84710. "op": "VarHandleOp"
  84711. }
  84712. },
  84713. {
  84714. "ph": "X",
  84715. "cat": "Op",
  84716. "name": "VarHandleOp",
  84717. "pid": 41,
  84718. "tid": 0,
  84719. "ts": 1539815912098609,
  84720. "dur": 5,
  84721. "args": {
  84722. "name": "dense/kernel/Adam_1",
  84723. "op": "VarHandleOp"
  84724. }
  84725. },
  84726. {
  84727. "ph": "X",
  84728. "cat": "Op",
  84729. "name": "Const",
  84730. "pid": 41,
  84731. "tid": 0,
  84732. "ts": 1539815912098616,
  84733. "dur": 4,
  84734. "args": {
  84735. "name": "training/TFOptimizer/Shape_12",
  84736. "op": "Const"
  84737. }
  84738. },
  84739. {
  84740. "ph": "X",
  84741. "cat": "Op",
  84742. "name": "VarHandleOp",
  84743. "pid": 41,
  84744. "tid": 0,
  84745. "ts": 1539815912098622,
  84746. "dur": 4,
  84747. "args": {
  84748. "name": "dense/bias/Adam",
  84749. "op": "VarHandleOp"
  84750. }
  84751. },
  84752. {
  84753. "ph": "X",
  84754. "cat": "Op",
  84755. "name": "VarHandleOp",
  84756. "pid": 41,
  84757. "tid": 0,
  84758. "ts": 1539815912098629,
  84759. "dur": 4,
  84760. "args": {
  84761. "name": "dense/bias/Adam_1",
  84762. "op": "VarHandleOp"
  84763. }
  84764. },
  84765. {
  84766. "ph": "X",
  84767. "cat": "Op",
  84768. "name": "VarHandleOp",
  84769. "pid": 41,
  84770. "tid": 0,
  84771. "ts": 1539815912098635,
  84772. "dur": 4,
  84773. "args": {
  84774. "name": "dense_1/kernel/Adam",
  84775. "op": "VarHandleOp"
  84776. }
  84777. },
  84778. {
  84779. "ph": "X",
  84780. "cat": "Op",
  84781. "name": "VarHandleOp",
  84782. "pid": 41,
  84783. "tid": 0,
  84784. "ts": 1539815912098640,
  84785. "dur": 6,
  84786. "args": {
  84787. "name": "dense_1/kernel/Adam_1",
  84788. "op": "VarHandleOp"
  84789. }
  84790. },
  84791. {
  84792. "ph": "X",
  84793. "cat": "Op",
  84794. "name": "Const",
  84795. "pid": 41,
  84796. "tid": 0,
  84797. "ts": 1539815912098647,
  84798. "dur": 6,
  84799. "args": {
  84800. "name": "training/TFOptimizer/Shape_14",
  84801. "op": "Const"
  84802. }
  84803. },
  84804. {
  84805. "ph": "X",
  84806. "cat": "Op",
  84807. "name": "VarHandleOp",
  84808. "pid": 41,
  84809. "tid": 0,
  84810. "ts": 1539815912098654,
  84811. "dur": 5,
  84812. "args": {
  84813. "name": "dense_1/bias/Adam",
  84814. "op": "VarHandleOp"
  84815. }
  84816. },
  84817. {
  84818. "ph": "X",
  84819. "cat": "Op",
  84820. "name": "VarHandleOp",
  84821. "pid": 41,
  84822. "tid": 0,
  84823. "ts": 1539815912098661,
  84824. "dur": 4,
  84825. "args": {
  84826. "name": "dense_1/bias/Adam_1",
  84827. "op": "VarHandleOp"
  84828. }
  84829. },
  84830. {
  84831. "ph": "X",
  84832. "cat": "Op",
  84833. "name": "VarHandleOp",
  84834. "pid": 41,
  84835. "tid": 0,
  84836. "ts": 1539815912098667,
  84837. "dur": 4,
  84838. "args": {
  84839. "name": "conv2d/kernel/Adam",
  84840. "op": "VarHandleOp"
  84841. }
  84842. },
  84843. {
  84844. "ph": "X",
  84845. "cat": "Op",
  84846. "name": "VarHandleOp",
  84847. "pid": 41,
  84848. "tid": 0,
  84849. "ts": 1539815912098673,
  84850. "dur": 4,
  84851. "args": {
  84852. "name": "conv2d/kernel/Adam_1",
  84853. "op": "VarHandleOp"
  84854. }
  84855. },
  84856. {
  84857. "ph": "X",
  84858. "cat": "Op",
  84859. "name": "Const",
  84860. "pid": 41,
  84861. "tid": 0,
  84862. "ts": 1539815912098679,
  84863. "dur": 7,
  84864. "args": {
  84865. "name": "training/TFOptimizer/Shape_2",
  84866. "op": "Const"
  84867. }
  84868. },
  84869. {
  84870. "ph": "X",
  84871. "cat": "Op",
  84872. "name": "VarHandleOp",
  84873. "pid": 41,
  84874. "tid": 0,
  84875. "ts": 1539815912098689,
  84876. "dur": 7,
  84877. "args": {
  84878. "name": "conv2d/bias/Adam",
  84879. "op": "VarHandleOp"
  84880. }
  84881. },
  84882. {
  84883. "ph": "X",
  84884. "cat": "Op",
  84885. "name": "VarHandleOp",
  84886. "pid": 41,
  84887. "tid": 0,
  84888. "ts": 1539815912098703,
  84889. "dur": 7,
  84890. "args": {
  84891. "name": "conv2d/bias/Adam_1",
  84892. "op": "VarHandleOp"
  84893. }
  84894. },
  84895. {
  84896. "ph": "X",
  84897. "cat": "Op",
  84898. "name": "VarHandleOp",
  84899. "pid": 41,
  84900. "tid": 0,
  84901. "ts": 1539815912098713,
  84902. "dur": 7,
  84903. "args": {
  84904. "name": "batch_normalization_1/gamma/Adam",
  84905. "op": "VarHandleOp"
  84906. }
  84907. },
  84908. {
  84909. "ph": "X",
  84910. "cat": "Op",
  84911. "name": "VarHandleOp",
  84912. "pid": 41,
  84913. "tid": 0,
  84914. "ts": 1539815912098723,
  84915. "dur": 7,
  84916. "args": {
  84917. "name": "batch_normalization_1/gamma/Adam_1",
  84918. "op": "VarHandleOp"
  84919. }
  84920. },
  84921. {
  84922. "ph": "X",
  84923. "cat": "Op",
  84924. "name": "VarHandleOp",
  84925. "pid": 41,
  84926. "tid": 0,
  84927. "ts": 1539815912098732,
  84928. "dur": 7,
  84929. "args": {
  84930. "name": "batch_normalization_1/beta/Adam",
  84931. "op": "VarHandleOp"
  84932. }
  84933. },
  84934. {
  84935. "ph": "X",
  84936. "cat": "Op",
  84937. "name": "VarHandleOp",
  84938. "pid": 41,
  84939. "tid": 0,
  84940. "ts": 1539815912098749,
  84941. "dur": 6,
  84942. "args": {
  84943. "name": "batch_normalization_1/beta/Adam_1",
  84944. "op": "VarHandleOp"
  84945. }
  84946. },
  84947. {
  84948. "ph": "X",
  84949. "cat": "Op",
  84950. "name": "VarHandleOp",
  84951. "pid": 41,
  84952. "tid": 0,
  84953. "ts": 1539815912098757,
  84954. "dur": 4,
  84955. "args": {
  84956. "name": "conv2d_1/kernel/Adam",
  84957. "op": "VarHandleOp"
  84958. }
  84959. },
  84960. {
  84961. "ph": "X",
  84962. "cat": "Op",
  84963. "name": "VarHandleOp",
  84964. "pid": 41,
  84965. "tid": 0,
  84966. "ts": 1539815912098763,
  84967. "dur": 4,
  84968. "args": {
  84969. "name": "conv2d_1/kernel/Adam_1",
  84970. "op": "VarHandleOp"
  84971. }
  84972. },
  84973. {
  84974. "ph": "X",
  84975. "cat": "Op",
  84976. "name": "Const",
  84977. "pid": 41,
  84978. "tid": 0,
  84979. "ts": 1539815912098770,
  84980. "dur": 5,
  84981. "args": {
  84982. "name": "training/TFOptimizer/Shape_6",
  84983. "op": "Const"
  84984. }
  84985. },
  84986. {
  84987. "ph": "X",
  84988. "cat": "Op",
  84989. "name": "VarHandleOp",
  84990. "pid": 41,
  84991. "tid": 0,
  84992. "ts": 1539815912098777,
  84993. "dur": 4,
  84994. "args": {
  84995. "name": "conv2d_1/bias/Adam",
  84996. "op": "VarHandleOp"
  84997. }
  84998. },
  84999. {
  85000. "ph": "X",
  85001. "cat": "Op",
  85002. "name": "VarHandleOp",
  85003. "pid": 41,
  85004. "tid": 0,
  85005. "ts": 1539815912098783,
  85006. "dur": 5,
  85007. "args": {
  85008. "name": "conv2d_1/bias/Adam_1",
  85009. "op": "VarHandleOp"
  85010. }
  85011. },
  85012. {
  85013. "ph": "X",
  85014. "cat": "Op",
  85015. "name": "VarHandleOp",
  85016. "pid": 41,
  85017. "tid": 0,
  85018. "ts": 1539815912098789,
  85019. "dur": 6,
  85020. "args": {
  85021. "name": "batch_normalization_2/gamma/Adam",
  85022. "op": "VarHandleOp"
  85023. }
  85024. },
  85025. {
  85026. "ph": "X",
  85027. "cat": "Op",
  85028. "name": "VarHandleOp",
  85029. "pid": 41,
  85030. "tid": 0,
  85031. "ts": 1539815912098797,
  85032. "dur": 4,
  85033. "args": {
  85034. "name": "batch_normalization_2/gamma/Adam_1",
  85035. "op": "VarHandleOp"
  85036. }
  85037. },
  85038. {
  85039. "ph": "X",
  85040. "cat": "Op",
  85041. "name": "VarHandleOp",
  85042. "pid": 41,
  85043. "tid": 0,
  85044. "ts": 1539815912098802,
  85045. "dur": 5,
  85046. "args": {
  85047. "name": "batch_normalization_2/beta/Adam",
  85048. "op": "VarHandleOp"
  85049. }
  85050. },
  85051. {
  85052. "ph": "X",
  85053. "cat": "Op",
  85054. "name": "VarHandleOp",
  85055. "pid": 41,
  85056. "tid": 0,
  85057. "ts": 1539815912098808,
  85058. "dur": 5,
  85059. "args": {
  85060. "name": "batch_normalization_2/beta/Adam_1",
  85061. "op": "VarHandleOp"
  85062. }
  85063. },
  85064. {
  85065. "ph": "X",
  85066. "cat": "Op",
  85067. "name": "VarHandleOp",
  85068. "pid": 41,
  85069. "tid": 0,
  85070. "ts": 1539815912098835,
  85071. "dur": 7,
  85072. "args": {
  85073. "name": "training/TFOptimizer/beta1_power",
  85074. "op": "VarHandleOp"
  85075. }
  85076. },
  85077. {
  85078. "ph": "X",
  85079. "cat": "Op",
  85080. "name": "VarHandleOp",
  85081. "pid": 41,
  85082. "tid": 0,
  85083. "ts": 1539815912098874,
  85084. "dur": 8,
  85085. "args": {
  85086. "name": "training/TFOptimizer/beta2_power",
  85087. "op": "VarHandleOp"
  85088. }
  85089. },
  85090. {
  85091. "ph": "X",
  85092. "cat": "Op",
  85093. "name": "Const",
  85094. "pid": 41,
  85095. "tid": 0,
  85096. "ts": 1539815912098885,
  85097. "dur": 6,
  85098. "args": {
  85099. "name": "training/TFOptimizer/Reshape/shape",
  85100. "op": "Const"
  85101. }
  85102. },
  85103. {
  85104. "ph": "X",
  85105. "cat": "Op",
  85106. "name": "Const",
  85107. "pid": 41,
  85108. "tid": 0,
  85109. "ts": 1539815912098893,
  85110. "dur": 6,
  85111. "args": {
  85112. "name": "training/TFOptimizer/gradients/dropout/dropout/div_grad/Shape_1",
  85113. "op": "Const"
  85114. }
  85115. },
  85116. {
  85117. "ph": "X",
  85118. "cat": "Op",
  85119. "name": "Const",
  85120. "pid": 41,
  85121. "tid": 0,
  85122. "ts": 1539815912098900,
  85123. "dur": 6,
  85124. "args": {
  85125. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value/Minimum_grad/zeros/Const",
  85126. "op": "Const"
  85127. }
  85128. },
  85129. {
  85130. "ph": "X",
  85131. "cat": "Op",
  85132. "name": "Const",
  85133. "pid": 41,
  85134. "tid": 0,
  85135. "ts": 1539815912098908,
  85136. "dur": 6,
  85137. "args": {
  85138. "name": "loss/activation_1_loss/Reshape/shape",
  85139. "op": "Const"
  85140. }
  85141. },
  85142. {
  85143. "ph": "X",
  85144. "cat": "Op",
  85145. "name": "Const",
  85146. "pid": 41,
  85147. "tid": 0,
  85148. "ts": 1539815912098916,
  85149. "dur": 5,
  85150. "args": {
  85151. "name": "loss/activation_1_loss/Const",
  85152. "op": "Const"
  85153. }
  85154. },
  85155. {
  85156. "ph": "X",
  85157. "cat": "Op",
  85158. "name": "Const",
  85159. "pid": 41,
  85160. "tid": 0,
  85161. "ts": 1539815912098922,
  85162. "dur": 5,
  85163. "args": {
  85164. "name": "loss/activation_1_loss/sub",
  85165. "op": "Const"
  85166. }
  85167. },
  85168. {
  85169. "ph": "X",
  85170. "cat": "Op",
  85171. "name": "Const",
  85172. "pid": 41,
  85173. "tid": 0,
  85174. "ts": 1539815912098929,
  85175. "dur": 6,
  85176. "args": {
  85177. "name": "dropout_3/dropout/keep_prob",
  85178. "op": "Const"
  85179. }
  85180. },
  85181. {
  85182. "ph": "X",
  85183. "cat": "Op",
  85184. "name": "Const",
  85185. "pid": 41,
  85186. "tid": 0,
  85187. "ts": 1539815912098937,
  85188. "dur": 4,
  85189. "args": {
  85190. "name": "dropout_2/dropout/keep_prob",
  85191. "op": "Const"
  85192. }
  85193. },
  85194. {
  85195. "ph": "X",
  85196. "cat": "Op",
  85197. "name": "VarHandleOp",
  85198. "pid": 41,
  85199. "tid": 0,
  85200. "ts": 1539815912098943,
  85201. "dur": 4,
  85202. "args": {
  85203. "name": "batch_normalization/gamma",
  85204. "op": "VarHandleOp"
  85205. }
  85206. },
  85207. {
  85208. "ph": "X",
  85209. "cat": "Op",
  85210. "name": "VarHandleOp",
  85211. "pid": 41,
  85212. "tid": 0,
  85213. "ts": 1539815912098950,
  85214. "dur": 5,
  85215. "args": {
  85216. "name": "batch_normalization/beta",
  85217. "op": "VarHandleOp"
  85218. }
  85219. },
  85220. {
  85221. "ph": "X",
  85222. "cat": "Op",
  85223. "name": "Const",
  85224. "pid": 41,
  85225. "tid": 0,
  85226. "ts": 1539815912098957,
  85227. "dur": 6,
  85228. "args": {
  85229. "name": "batch_normalization/Const",
  85230. "op": "Const"
  85231. }
  85232. },
  85233. {
  85234. "ph": "X",
  85235. "cat": "Op",
  85236. "name": "VarHandleOp",
  85237. "pid": 41,
  85238. "tid": 0,
  85239. "ts": 1539815912098965,
  85240. "dur": 4,
  85241. "args": {
  85242. "name": "conv2d/kernel",
  85243. "op": "VarHandleOp"
  85244. }
  85245. },
  85246. {
  85247. "ph": "X",
  85248. "cat": "Op",
  85249. "name": "VarHandleOp",
  85250. "pid": 41,
  85251. "tid": 0,
  85252. "ts": 1539815912098981,
  85253. "dur": 6,
  85254. "args": {
  85255. "name": "conv2d/bias",
  85256. "op": "VarHandleOp"
  85257. }
  85258. },
  85259. {
  85260. "ph": "X",
  85261. "cat": "Op",
  85262. "name": "VarHandleOp",
  85263. "pid": 41,
  85264. "tid": 0,
  85265. "ts": 1539815912098990,
  85266. "dur": 4,
  85267. "args": {
  85268. "name": "batch_normalization_1/gamma",
  85269. "op": "VarHandleOp"
  85270. }
  85271. },
  85272. {
  85273. "ph": "X",
  85274. "cat": "Op",
  85275. "name": "VarHandleOp",
  85276. "pid": 41,
  85277. "tid": 0,
  85278. "ts": 1539815912098996,
  85279. "dur": 5,
  85280. "args": {
  85281. "name": "batch_normalization_1/beta",
  85282. "op": "VarHandleOp"
  85283. }
  85284. },
  85285. {
  85286. "ph": "X",
  85287. "cat": "Op",
  85288. "name": "VarHandleOp",
  85289. "pid": 41,
  85290. "tid": 0,
  85291. "ts": 1539815912099005,
  85292. "dur": 5,
  85293. "args": {
  85294. "name": "conv2d_1/kernel",
  85295. "op": "VarHandleOp"
  85296. }
  85297. },
  85298. {
  85299. "ph": "X",
  85300. "cat": "Op",
  85301. "name": "VarHandleOp",
  85302. "pid": 41,
  85303. "tid": 0,
  85304. "ts": 1539815912099012,
  85305. "dur": 4,
  85306. "args": {
  85307. "name": "conv2d_1/bias",
  85308. "op": "VarHandleOp"
  85309. }
  85310. },
  85311. {
  85312. "ph": "X",
  85313. "cat": "Op",
  85314. "name": "VarHandleOp",
  85315. "pid": 41,
  85316. "tid": 0,
  85317. "ts": 1539815912099018,
  85318. "dur": 4,
  85319. "args": {
  85320. "name": "batch_normalization_2/gamma",
  85321. "op": "VarHandleOp"
  85322. }
  85323. },
  85324. {
  85325. "ph": "X",
  85326. "cat": "Op",
  85327. "name": "VarHandleOp",
  85328. "pid": 41,
  85329. "tid": 0,
  85330. "ts": 1539815912099024,
  85331. "dur": 6,
  85332. "args": {
  85333. "name": "batch_normalization_2/beta",
  85334. "op": "VarHandleOp"
  85335. }
  85336. },
  85337. {
  85338. "ph": "X",
  85339. "cat": "Op",
  85340. "name": "VarHandleOp",
  85341. "pid": 41,
  85342. "tid": 0,
  85343. "ts": 1539815912099032,
  85344. "dur": 4,
  85345. "args": {
  85346. "name": "conv2d_2/kernel",
  85347. "op": "VarHandleOp"
  85348. }
  85349. },
  85350. {
  85351. "ph": "X",
  85352. "cat": "Op",
  85353. "name": "VarHandleOp",
  85354. "pid": 41,
  85355. "tid": 0,
  85356. "ts": 1539815912099038,
  85357. "dur": 4,
  85358. "args": {
  85359. "name": "conv2d_2/bias",
  85360. "op": "VarHandleOp"
  85361. }
  85362. },
  85363. {
  85364. "ph": "X",
  85365. "cat": "Op",
  85366. "name": "Const",
  85367. "pid": 41,
  85368. "tid": 0,
  85369. "ts": 1539815912099044,
  85370. "dur": 6,
  85371. "args": {
  85372. "name": "flatten/strided_slice/stack_1",
  85373. "op": "Const"
  85374. }
  85375. },
  85376. {
  85377. "ph": "X",
  85378. "cat": "Op",
  85379. "name": "VarHandleOp",
  85380. "pid": 41,
  85381. "tid": 0,
  85382. "ts": 1539815912099052,
  85383. "dur": 5,
  85384. "args": {
  85385. "name": "dense/kernel",
  85386. "op": "VarHandleOp"
  85387. }
  85388. },
  85389. {
  85390. "ph": "X",
  85391. "cat": "Op",
  85392. "name": "VarHandleOp",
  85393. "pid": 41,
  85394. "tid": 0,
  85395. "ts": 1539815912099060,
  85396. "dur": 5,
  85397. "args": {
  85398. "name": "dense/bias",
  85399. "op": "VarHandleOp"
  85400. }
  85401. },
  85402. {
  85403. "ph": "X",
  85404. "cat": "Op",
  85405. "name": "VarHandleOp",
  85406. "pid": 41,
  85407. "tid": 0,
  85408. "ts": 1539815912099067,
  85409. "dur": 5,
  85410. "args": {
  85411. "name": "dense_1/kernel",
  85412. "op": "VarHandleOp"
  85413. }
  85414. },
  85415. {
  85416. "ph": "X",
  85417. "cat": "Op",
  85418. "name": "VarHandleOp",
  85419. "pid": 41,
  85420. "tid": 0,
  85421. "ts": 1539815912099075,
  85422. "dur": 4,
  85423. "args": {
  85424. "name": "dense_1/bias",
  85425. "op": "VarHandleOp"
  85426. }
  85427. },
  85428. {
  85429. "ph": "X",
  85430. "cat": "Op",
  85431. "name": "Const",
  85432. "pid": 41,
  85433. "tid": 0,
  85434. "ts": 1539815912099082,
  85435. "dur": 4,
  85436. "args": {
  85437. "name": "training/TFOptimizer/concat/axis",
  85438. "op": "Const"
  85439. }
  85440. },
  85441. {
  85442. "ph": "X",
  85443. "cat": "Op",
  85444. "name": "Const",
  85445. "pid": 41,
  85446. "tid": 0,
  85447. "ts": 1539815912099089,
  85448. "dur": 6,
  85449. "args": {
  85450. "name": "training/TFOptimizer/packed",
  85451. "op": "Const"
  85452. }
  85453. },
  85454. {
  85455. "ph": "X",
  85456. "cat": "Op",
  85457. "name": "Const",
  85458. "pid": 41,
  85459. "tid": 0,
  85460. "ts": 1539815912099096,
  85461. "dur": 5,
  85462. "args": {
  85463. "name": "training/TFOptimizer/split_4/split_dim",
  85464. "op": "Const"
  85465. }
  85466. },
  85467. {
  85468. "ph": "X",
  85469. "cat": "Op",
  85470. "name": "Const",
  85471. "pid": 41,
  85472. "tid": 0,
  85473. "ts": 1539815912099102,
  85474. "dur": 7,
  85475. "args": {
  85476. "name": "ConstantFolding/training/TFOptimizer/gradients/dropout/dropout/div_grad/RealDiv_recip",
  85477. "op": "Const"
  85478. }
  85479. },
  85480. {
  85481. "ph": "X",
  85482. "cat": "Op",
  85483. "name": "Const",
  85484. "pid": 41,
  85485. "tid": 0,
  85486. "ts": 1539815912099110,
  85487. "dur": 6,
  85488. "args": {
  85489. "name": "ConstantFolding/training/TFOptimizer/gradients/dropout_3/dropout/div_grad/RealDiv_recip",
  85490. "op": "Const"
  85491. }
  85492. },
  85493. {
  85494. "ph": "X",
  85495. "cat": "Op",
  85496. "name": "Const",
  85497. "pid": 41,
  85498. "tid": 0,
  85499. "ts": 1539815912099118,
  85500. "dur": 6,
  85501. "args": {
  85502. "name": "training/TFOptimizer/Adam/learning_rate",
  85503. "op": "Const"
  85504. }
  85505. },
  85506. {
  85507. "ph": "X",
  85508. "cat": "Op",
  85509. "name": "Const",
  85510. "pid": 41,
  85511. "tid": 0,
  85512. "ts": 1539815912099126,
  85513. "dur": 7,
  85514. "args": {
  85515. "name": "training/TFOptimizer/Adam/beta1",
  85516. "op": "Const"
  85517. }
  85518. },
  85519. {
  85520. "ph": "X",
  85521. "cat": "Op",
  85522. "name": "Const",
  85523. "pid": 41,
  85524. "tid": 0,
  85525. "ts": 1539815912099136,
  85526. "dur": 7,
  85527. "args": {
  85528. "name": "training/TFOptimizer/Adam/beta2",
  85529. "op": "Const"
  85530. }
  85531. },
  85532. {
  85533. "ph": "X",
  85534. "cat": "Op",
  85535. "name": "Const",
  85536. "pid": 41,
  85537. "tid": 0,
  85538. "ts": 1539815912099145,
  85539. "dur": 5,
  85540. "args": {
  85541. "name": "training/TFOptimizer/Adam/epsilon",
  85542. "op": "Const"
  85543. }
  85544. },
  85545. {
  85546. "ph": "X",
  85547. "cat": "Op",
  85548. "name": "Const",
  85549. "pid": 41,
  85550. "tid": 0,
  85551. "ts": 1539815912099153,
  85552. "dur": 6,
  85553. "args": {
  85554. "name": "PermConstNHWCToNCHW-LayoutOptimizer",
  85555. "op": "Const"
  85556. }
  85557. },
  85558. {
  85559. "ph": "X",
  85560. "cat": "Op",
  85561. "name": "Const",
  85562. "pid": 41,
  85563. "tid": 0,
  85564. "ts": 1539815912099162,
  85565. "dur": 6,
  85566. "args": {
  85567. "name": "PermConstNCHWToNHWC-LayoutOptimizer",
  85568. "op": "Const"
  85569. }
  85570. },
  85571. {
  85572. "ph": "X",
  85573. "cat": "Op",
  85574. "name": "ReadVariableOp",
  85575. "pid": 41,
  85576. "tid": 0,
  85577. "ts": 1539815912099170,
  85578. "dur": 9,
  85579. "args": {
  85580. "name": "batch_normalization/AssignMovingAvg/ReadVariableOp",
  85581. "op": "ReadVariableOp",
  85582. "input0": "batch_normalization/moving_mean"
  85583. }
  85584. },
  85585. {
  85586. "ph": "X",
  85587. "cat": "Op",
  85588. "name": "ReadVariableOp",
  85589. "pid": 41,
  85590. "tid": 0,
  85591. "ts": 1539815912099181,
  85592. "dur": 7,
  85593. "args": {
  85594. "name": "batch_normalization/AssignMovingAvg_1/ReadVariableOp",
  85595. "op": "ReadVariableOp",
  85596. "input0": "batch_normalization/moving_variance"
  85597. }
  85598. },
  85599. {
  85600. "ph": "X",
  85601. "cat": "Op",
  85602. "name": "ReadVariableOp",
  85603. "pid": 41,
  85604. "tid": 0,
  85605. "ts": 1539815912099191,
  85606. "dur": 6,
  85607. "args": {
  85608. "name": "batch_normalization_1/AssignMovingAvg/ReadVariableOp",
  85609. "op": "ReadVariableOp",
  85610. "input0": "batch_normalization_1/moving_mean"
  85611. }
  85612. },
  85613. {
  85614. "ph": "X",
  85615. "cat": "Op",
  85616. "name": "ReadVariableOp",
  85617. "pid": 41,
  85618. "tid": 0,
  85619. "ts": 1539815912099199,
  85620. "dur": 8,
  85621. "args": {
  85622. "name": "batch_normalization_1/AssignMovingAvg_1/ReadVariableOp",
  85623. "op": "ReadVariableOp",
  85624. "input0": "batch_normalization_1/moving_variance"
  85625. }
  85626. },
  85627. {
  85628. "ph": "X",
  85629. "cat": "Op",
  85630. "name": "ReadVariableOp",
  85631. "pid": 41,
  85632. "tid": 0,
  85633. "ts": 1539815912099210,
  85634. "dur": 9,
  85635. "args": {
  85636. "name": "batch_normalization_2/AssignMovingAvg/ReadVariableOp",
  85637. "op": "ReadVariableOp",
  85638. "input0": "batch_normalization_2/moving_mean"
  85639. }
  85640. },
  85641. {
  85642. "ph": "X",
  85643. "cat": "Op",
  85644. "name": "ReadVariableOp",
  85645. "pid": 41,
  85646. "tid": 0,
  85647. "ts": 1539815912099223,
  85648. "dur": 9,
  85649. "args": {
  85650. "name": "batch_normalization_2/AssignMovingAvg_1/ReadVariableOp",
  85651. "op": "ReadVariableOp",
  85652. "input0": "batch_normalization_2/moving_variance"
  85653. }
  85654. },
  85655. {
  85656. "ph": "X",
  85657. "cat": "Op",
  85658. "name": "ReadVariableOp",
  85659. "pid": 41,
  85660. "tid": 0,
  85661. "ts": 1539815912099236,
  85662. "dur": 9,
  85663. "args": {
  85664. "name": "Identity/ReadVariableOp",
  85665. "op": "ReadVariableOp",
  85666. "input0": "global_step"
  85667. }
  85668. },
  85669. {
  85670. "ph": "X",
  85671. "cat": "Op",
  85672. "name": "ReadVariableOp",
  85673. "pid": 41,
  85674. "tid": 0,
  85675. "ts": 1539815912099253,
  85676. "dur": 8,
  85677. "args": {
  85678. "name": "global_step/Read/ReadVariableOp",
  85679. "op": "ReadVariableOp",
  85680. "input0": "global_step"
  85681. }
  85682. },
  85683. {
  85684. "ph": "X",
  85685. "cat": "Op",
  85686. "name": "ReadVariableOp",
  85687. "pid": 41,
  85688. "tid": 0,
  85689. "ts": 1539815912099265,
  85690. "dur": 8,
  85691. "args": {
  85692. "name": "training/TFOptimizer/Adam/update_0/update_batch_normalization/gamma/ResourceApplyAdam/ReadVariableOp",
  85693. "op": "ReadVariableOp",
  85694. "input0": "training/TFOptimizer/beta1_power"
  85695. }
  85696. },
  85697. {
  85698. "ph": "X",
  85699. "cat": "Op",
  85700. "name": "ReadVariableOp",
  85701. "pid": 41,
  85702. "tid": 0,
  85703. "ts": 1539815912099277,
  85704. "dur": 7,
  85705. "args": {
  85706. "name": "training/TFOptimizer/Adam/update_0_1/update_batch_normalization/beta/ResourceApplyAdam/ReadVariableOp",
  85707. "op": "ReadVariableOp",
  85708. "input0": "training/TFOptimizer/beta1_power"
  85709. }
  85710. },
  85711. {
  85712. "ph": "X",
  85713. "cat": "Op",
  85714. "name": "ReadVariableOp",
  85715. "pid": 41,
  85716. "tid": 0,
  85717. "ts": 1539815912099288,
  85718. "dur": 5,
  85719. "args": {
  85720. "name": "training/TFOptimizer/Adam/update_0_10/update_conv2d_2/kernel/ResourceApplyAdam/ReadVariableOp",
  85721. "op": "ReadVariableOp",
  85722. "input0": "training/TFOptimizer/beta1_power"
  85723. }
  85724. },
  85725. {
  85726. "ph": "X",
  85727. "cat": "Op",
  85728. "name": "ReadVariableOp",
  85729. "pid": 41,
  85730. "tid": 0,
  85731. "ts": 1539815912099296,
  85732. "dur": 6,
  85733. "args": {
  85734. "name": "training/TFOptimizer/Adam/update_0_11/update_conv2d_2/bias/ResourceApplyAdam/ReadVariableOp",
  85735. "op": "ReadVariableOp",
  85736. "input0": "training/TFOptimizer/beta1_power"
  85737. }
  85738. },
  85739. {
  85740. "ph": "X",
  85741. "cat": "Op",
  85742. "name": "ReadVariableOp",
  85743. "pid": 41,
  85744. "tid": 0,
  85745. "ts": 1539815912099304,
  85746. "dur": 4,
  85747. "args": {
  85748. "name": "training/TFOptimizer/Adam/update_0_12/update_dense/kernel/ResourceApplyAdam/ReadVariableOp",
  85749. "op": "ReadVariableOp",
  85750. "input0": "training/TFOptimizer/beta1_power"
  85751. }
  85752. },
  85753. {
  85754. "ph": "X",
  85755. "cat": "Op",
  85756. "name": "ReadVariableOp",
  85757. "pid": 41,
  85758. "tid": 0,
  85759. "ts": 1539815912099310,
  85760. "dur": 5,
  85761. "args": {
  85762. "name": "training/TFOptimizer/Adam/update_0_13/update_dense/bias/ResourceApplyAdam/ReadVariableOp",
  85763. "op": "ReadVariableOp",
  85764. "input0": "training/TFOptimizer/beta1_power"
  85765. }
  85766. },
  85767. {
  85768. "ph": "X",
  85769. "cat": "Op",
  85770. "name": "ReadVariableOp",
  85771. "pid": 41,
  85772. "tid": 0,
  85773. "ts": 1539815912099317,
  85774. "dur": 4,
  85775. "args": {
  85776. "name": "training/TFOptimizer/Adam/update_0_14/update_dense_1/kernel/ResourceApplyAdam/ReadVariableOp",
  85777. "op": "ReadVariableOp",
  85778. "input0": "training/TFOptimizer/beta1_power"
  85779. }
  85780. },
  85781. {
  85782. "ph": "X",
  85783. "cat": "Op",
  85784. "name": "ReadVariableOp",
  85785. "pid": 41,
  85786. "tid": 0,
  85787. "ts": 1539815912099323,
  85788. "dur": 4,
  85789. "args": {
  85790. "name": "training/TFOptimizer/Adam/update_0_15/update_dense_1/bias/ResourceApplyAdam/ReadVariableOp",
  85791. "op": "ReadVariableOp",
  85792. "input0": "training/TFOptimizer/beta1_power"
  85793. }
  85794. },
  85795. {
  85796. "ph": "X",
  85797. "cat": "Op",
  85798. "name": "ReadVariableOp",
  85799. "pid": 41,
  85800. "tid": 0,
  85801. "ts": 1539815912099330,
  85802. "dur": 5,
  85803. "args": {
  85804. "name": "training/TFOptimizer/Adam/update_0_2/update_conv2d/kernel/ResourceApplyAdam/ReadVariableOp",
  85805. "op": "ReadVariableOp",
  85806. "input0": "training/TFOptimizer/beta1_power"
  85807. }
  85808. },
  85809. {
  85810. "ph": "X",
  85811. "cat": "Op",
  85812. "name": "ReadVariableOp",
  85813. "pid": 41,
  85814. "tid": 0,
  85815. "ts": 1539815912099337,
  85816. "dur": 4,
  85817. "args": {
  85818. "name": "training/TFOptimizer/Adam/update_0_3/update_conv2d/bias/ResourceApplyAdam/ReadVariableOp",
  85819. "op": "ReadVariableOp",
  85820. "input0": "training/TFOptimizer/beta1_power"
  85821. }
  85822. },
  85823. {
  85824. "ph": "X",
  85825. "cat": "Op",
  85826. "name": "ReadVariableOp",
  85827. "pid": 41,
  85828. "tid": 0,
  85829. "ts": 1539815912099343,
  85830. "dur": 5,
  85831. "args": {
  85832. "name": "training/TFOptimizer/Adam/update_0_4/update_batch_normalization_1/gamma/ResourceApplyAdam/ReadVariableOp",
  85833. "op": "ReadVariableOp",
  85834. "input0": "training/TFOptimizer/beta1_power"
  85835. }
  85836. },
  85837. {
  85838. "ph": "X",
  85839. "cat": "Op",
  85840. "name": "ReadVariableOp",
  85841. "pid": 41,
  85842. "tid": 0,
  85843. "ts": 1539815912099350,
  85844. "dur": 5,
  85845. "args": {
  85846. "name": "training/TFOptimizer/Adam/update_0_5/update_batch_normalization_1/beta/ResourceApplyAdam/ReadVariableOp",
  85847. "op": "ReadVariableOp",
  85848. "input0": "training/TFOptimizer/beta1_power"
  85849. }
  85850. },
  85851. {
  85852. "ph": "X",
  85853. "cat": "Op",
  85854. "name": "ReadVariableOp",
  85855. "pid": 41,
  85856. "tid": 0,
  85857. "ts": 1539815912099357,
  85858. "dur": 4,
  85859. "args": {
  85860. "name": "training/TFOptimizer/Adam/update_0_6/update_conv2d_1/kernel/ResourceApplyAdam/ReadVariableOp",
  85861. "op": "ReadVariableOp",
  85862. "input0": "training/TFOptimizer/beta1_power"
  85863. }
  85864. },
  85865. {
  85866. "ph": "X",
  85867. "cat": "Op",
  85868. "name": "ReadVariableOp",
  85869. "pid": 41,
  85870. "tid": 0,
  85871. "ts": 1539815912099363,
  85872. "dur": 5,
  85873. "args": {
  85874. "name": "training/TFOptimizer/Adam/update_0_7/update_conv2d_1/bias/ResourceApplyAdam/ReadVariableOp",
  85875. "op": "ReadVariableOp",
  85876. "input0": "training/TFOptimizer/beta1_power"
  85877. }
  85878. },
  85879. {
  85880. "ph": "X",
  85881. "cat": "Op",
  85882. "name": "ReadVariableOp",
  85883. "pid": 41,
  85884. "tid": 0,
  85885. "ts": 1539815912099370,
  85886. "dur": 5,
  85887. "args": {
  85888. "name": "training/TFOptimizer/Adam/update_0_8/update_batch_normalization_2/gamma/ResourceApplyAdam/ReadVariableOp",
  85889. "op": "ReadVariableOp",
  85890. "input0": "training/TFOptimizer/beta1_power"
  85891. }
  85892. },
  85893. {
  85894. "ph": "X",
  85895. "cat": "Op",
  85896. "name": "ReadVariableOp",
  85897. "pid": 41,
  85898. "tid": 0,
  85899. "ts": 1539815912099377,
  85900. "dur": 5,
  85901. "args": {
  85902. "name": "training/TFOptimizer/Adam/update_0_9/update_batch_normalization_2/beta/ResourceApplyAdam/ReadVariableOp",
  85903. "op": "ReadVariableOp",
  85904. "input0": "training/TFOptimizer/beta1_power"
  85905. }
  85906. },
  85907. {
  85908. "ph": "X",
  85909. "cat": "Op",
  85910. "name": "ReadVariableOp",
  85911. "pid": 41,
  85912. "tid": 0,
  85913. "ts": 1539815912099383,
  85914. "dur": 6,
  85915. "args": {
  85916. "name": "training/TFOptimizer/Adam/update_0/update_batch_normalization/gamma/ResourceApplyAdam/ReadVariableOp_1",
  85917. "op": "ReadVariableOp",
  85918. "input0": "training/TFOptimizer/beta2_power"
  85919. }
  85920. },
  85921. {
  85922. "ph": "X",
  85923. "cat": "Op",
  85924. "name": "ReadVariableOp",
  85925. "pid": 41,
  85926. "tid": 0,
  85927. "ts": 1539815912099392,
  85928. "dur": 4,
  85929. "args": {
  85930. "name": "training/TFOptimizer/Adam/update_0_1/update_batch_normalization/beta/ResourceApplyAdam/ReadVariableOp_1",
  85931. "op": "ReadVariableOp",
  85932. "input0": "training/TFOptimizer/beta2_power"
  85933. }
  85934. },
  85935. {
  85936. "ph": "X",
  85937. "cat": "Op",
  85938. "name": "ReadVariableOp",
  85939. "pid": 41,
  85940. "tid": 0,
  85941. "ts": 1539815912099398,
  85942. "dur": 5,
  85943. "args": {
  85944. "name": "training/TFOptimizer/Adam/update_0_10/update_conv2d_2/kernel/ResourceApplyAdam/ReadVariableOp_1",
  85945. "op": "ReadVariableOp",
  85946. "input0": "training/TFOptimizer/beta2_power"
  85947. }
  85948. },
  85949. {
  85950. "ph": "X",
  85951. "cat": "Op",
  85952. "name": "ReadVariableOp",
  85953. "pid": 41,
  85954. "tid": 0,
  85955. "ts": 1539815912099405,
  85956. "dur": 5,
  85957. "args": {
  85958. "name": "training/TFOptimizer/Adam/update_0_11/update_conv2d_2/bias/ResourceApplyAdam/ReadVariableOp_1",
  85959. "op": "ReadVariableOp",
  85960. "input0": "training/TFOptimizer/beta2_power"
  85961. }
  85962. },
  85963. {
  85964. "ph": "X",
  85965. "cat": "Op",
  85966. "name": "ReadVariableOp",
  85967. "pid": 41,
  85968. "tid": 0,
  85969. "ts": 1539815912099412,
  85970. "dur": 5,
  85971. "args": {
  85972. "name": "training/TFOptimizer/Adam/update_0_12/update_dense/kernel/ResourceApplyAdam/ReadVariableOp_1",
  85973. "op": "ReadVariableOp",
  85974. "input0": "training/TFOptimizer/beta2_power"
  85975. }
  85976. },
  85977. {
  85978. "ph": "X",
  85979. "cat": "Op",
  85980. "name": "ReadVariableOp",
  85981. "pid": 41,
  85982. "tid": 0,
  85983. "ts": 1539815912099419,
  85984. "dur": 5,
  85985. "args": {
  85986. "name": "training/TFOptimizer/Adam/update_0_13/update_dense/bias/ResourceApplyAdam/ReadVariableOp_1",
  85987. "op": "ReadVariableOp",
  85988. "input0": "training/TFOptimizer/beta2_power"
  85989. }
  85990. },
  85991. {
  85992. "ph": "X",
  85993. "cat": "Op",
  85994. "name": "ReadVariableOp",
  85995. "pid": 41,
  85996. "tid": 0,
  85997. "ts": 1539815912099426,
  85998. "dur": 8,
  85999. "args": {
  86000. "name": "training/TFOptimizer/Adam/update_0_14/update_dense_1/kernel/ResourceApplyAdam/ReadVariableOp_1",
  86001. "op": "ReadVariableOp",
  86002. "input0": "training/TFOptimizer/beta2_power"
  86003. }
  86004. },
  86005. {
  86006. "ph": "X",
  86007. "cat": "Op",
  86008. "name": "ReadVariableOp",
  86009. "pid": 41,
  86010. "tid": 0,
  86011. "ts": 1539815912099438,
  86012. "dur": 9,
  86013. "args": {
  86014. "name": "training/TFOptimizer/Adam/update_0_15/update_dense_1/bias/ResourceApplyAdam/ReadVariableOp_1",
  86015. "op": "ReadVariableOp",
  86016. "input0": "training/TFOptimizer/beta2_power"
  86017. }
  86018. },
  86019. {
  86020. "ph": "X",
  86021. "cat": "Op",
  86022. "name": "ReadVariableOp",
  86023. "pid": 41,
  86024. "tid": 0,
  86025. "ts": 1539815912099450,
  86026. "dur": 8,
  86027. "args": {
  86028. "name": "training/TFOptimizer/Adam/update_0_2/update_conv2d/kernel/ResourceApplyAdam/ReadVariableOp_1",
  86029. "op": "ReadVariableOp",
  86030. "input0": "training/TFOptimizer/beta2_power"
  86031. }
  86032. },
  86033. {
  86034. "ph": "X",
  86035. "cat": "Op",
  86036. "name": "ReadVariableOp",
  86037. "pid": 41,
  86038. "tid": 0,
  86039. "ts": 1539815912099462,
  86040. "dur": 7,
  86041. "args": {
  86042. "name": "training/TFOptimizer/Adam/update_0_3/update_conv2d/bias/ResourceApplyAdam/ReadVariableOp_1",
  86043. "op": "ReadVariableOp",
  86044. "input0": "training/TFOptimizer/beta2_power"
  86045. }
  86046. },
  86047. {
  86048. "ph": "X",
  86049. "cat": "Op",
  86050. "name": "ReadVariableOp",
  86051. "pid": 41,
  86052. "tid": 0,
  86053. "ts": 1539815912099472,
  86054. "dur": 8,
  86055. "args": {
  86056. "name": "training/TFOptimizer/Adam/update_0_4/update_batch_normalization_1/gamma/ResourceApplyAdam/ReadVariableOp_1",
  86057. "op": "ReadVariableOp",
  86058. "input0": "training/TFOptimizer/beta2_power"
  86059. }
  86060. },
  86061. {
  86062. "ph": "X",
  86063. "cat": "Op",
  86064. "name": "FunctionBufferingResource",
  86065. "pid": 41,
  86066. "tid": 1,
  86067. "ts": 1539815912099458,
  86068. "dur": 32,
  86069. "args": {
  86070. "name": "FunctionBufferingResource",
  86071. "op": "FunctionBufferingResource",
  86072. "input0": "IteratorToStringHandle/_1367",
  86073. "input1": "IteratorGetDevice/_1369"
  86074. }
  86075. },
  86076. {
  86077. "ph": "s",
  86078. "cat": "DataFlow",
  86079. "name": "IteratorToStringHandle",
  86080. "pid": 17,
  86081. "tid": 1,
  86082. "ts": 1539815912099412,
  86083. "id": 286
  86084. },
  86085. {
  86086. "ph": "t",
  86087. "cat": "DataFlow",
  86088. "name": "IteratorToStringHandle",
  86089. "pid": 41,
  86090. "tid": 1,
  86091. "ts": 1539815912099458,
  86092. "id": 286
  86093. },
  86094. {
  86095. "ph": "s",
  86096. "cat": "DataFlow",
  86097. "name": "IteratorGetDevice",
  86098. "pid": 17,
  86099. "tid": 0,
  86100. "ts": 1539815912099388,
  86101. "id": 287
  86102. },
  86103. {
  86104. "ph": "t",
  86105. "cat": "DataFlow",
  86106. "name": "IteratorGetDevice",
  86107. "pid": 41,
  86108. "tid": 1,
  86109. "ts": 1539815912099458,
  86110. "id": 287
  86111. },
  86112. {
  86113. "ph": "X",
  86114. "cat": "Op",
  86115. "name": "ReadVariableOp",
  86116. "pid": 41,
  86117. "tid": 0,
  86118. "ts": 1539815912099484,
  86119. "dur": 8,
  86120. "args": {
  86121. "name": "training/TFOptimizer/Adam/update_0_5/update_batch_normalization_1/beta/ResourceApplyAdam/ReadVariableOp_1",
  86122. "op": "ReadVariableOp",
  86123. "input0": "training/TFOptimizer/beta2_power"
  86124. }
  86125. },
  86126. {
  86127. "ph": "X",
  86128. "cat": "Op",
  86129. "name": "ReadVariableOp",
  86130. "pid": 41,
  86131. "tid": 0,
  86132. "ts": 1539815912099496,
  86133. "dur": 9,
  86134. "args": {
  86135. "name": "training/TFOptimizer/Adam/update_0_6/update_conv2d_1/kernel/ResourceApplyAdam/ReadVariableOp_1",
  86136. "op": "ReadVariableOp",
  86137. "input0": "training/TFOptimizer/beta2_power"
  86138. }
  86139. },
  86140. {
  86141. "ph": "X",
  86142. "cat": "Op",
  86143. "name": "ReadVariableOp",
  86144. "pid": 41,
  86145. "tid": 0,
  86146. "ts": 1539815912099509,
  86147. "dur": 9,
  86148. "args": {
  86149. "name": "training/TFOptimizer/Adam/update_0_7/update_conv2d_1/bias/ResourceApplyAdam/ReadVariableOp_1",
  86150. "op": "ReadVariableOp",
  86151. "input0": "training/TFOptimizer/beta2_power"
  86152. }
  86153. },
  86154. {
  86155. "ph": "X",
  86156. "cat": "Op",
  86157. "name": "ReadVariableOp",
  86158. "pid": 41,
  86159. "tid": 0,
  86160. "ts": 1539815912099521,
  86161. "dur": 5,
  86162. "args": {
  86163. "name": "training/TFOptimizer/Adam/update_0_8/update_batch_normalization_2/gamma/ResourceApplyAdam/ReadVariableOp_1",
  86164. "op": "ReadVariableOp",
  86165. "input0": "training/TFOptimizer/beta2_power"
  86166. }
  86167. },
  86168. {
  86169. "ph": "X",
  86170. "cat": "Op",
  86171. "name": "ReadVariableOp",
  86172. "pid": 41,
  86173. "tid": 0,
  86174. "ts": 1539815912099532,
  86175. "dur": 6,
  86176. "args": {
  86177. "name": "training/TFOptimizer/Adam/update_0_9/update_batch_normalization_2/beta/ResourceApplyAdam/ReadVariableOp_1",
  86178. "op": "ReadVariableOp",
  86179. "input0": "training/TFOptimizer/beta2_power"
  86180. }
  86181. },
  86182. {
  86183. "ph": "X",
  86184. "cat": "Op",
  86185. "name": "ReadVariableOp",
  86186. "pid": 41,
  86187. "tid": 0,
  86188. "ts": 1539815912099540,
  86189. "dur": 6,
  86190. "args": {
  86191. "name": "batch_normalization/ReadVariableOp",
  86192. "op": "ReadVariableOp",
  86193. "input0": "batch_normalization/gamma"
  86194. }
  86195. },
  86196. {
  86197. "ph": "X",
  86198. "cat": "Op",
  86199. "name": "ReadVariableOp",
  86200. "pid": 41,
  86201. "tid": 0,
  86202. "ts": 1539815912099553,
  86203. "dur": 6,
  86204. "args": {
  86205. "name": "batch_normalization/ReadVariableOp_1",
  86206. "op": "ReadVariableOp",
  86207. "input0": "batch_normalization/beta"
  86208. }
  86209. },
  86210. {
  86211. "ph": "X",
  86212. "cat": "Op",
  86213. "name": "ReadVariableOp",
  86214. "pid": 41,
  86215. "tid": 0,
  86216. "ts": 1539815912099561,
  86217. "dur": 7,
  86218. "args": {
  86219. "name": "conv2d/Conv2D/ReadVariableOp",
  86220. "op": "ReadVariableOp",
  86221. "input0": "conv2d/kernel"
  86222. }
  86223. },
  86224. {
  86225. "ph": "X",
  86226. "cat": "Op",
  86227. "name": "ReadVariableOp",
  86228. "pid": 41,
  86229. "tid": 0,
  86230. "ts": 1539815912099570,
  86231. "dur": 7,
  86232. "args": {
  86233. "name": "conv2d/BiasAdd/ReadVariableOp",
  86234. "op": "ReadVariableOp",
  86235. "input0": "conv2d/bias"
  86236. }
  86237. },
  86238. {
  86239. "ph": "X",
  86240. "cat": "Op",
  86241. "name": "ReadVariableOp",
  86242. "pid": 41,
  86243. "tid": 0,
  86244. "ts": 1539815912099579,
  86245. "dur": 5,
  86246. "args": {
  86247. "name": "batch_normalization_1/ReadVariableOp",
  86248. "op": "ReadVariableOp",
  86249. "input0": "batch_normalization_1/gamma"
  86250. }
  86251. },
  86252. {
  86253. "ph": "X",
  86254. "cat": "Op",
  86255. "name": "ReadVariableOp",
  86256. "pid": 41,
  86257. "tid": 0,
  86258. "ts": 1539815912099587,
  86259. "dur": 5,
  86260. "args": {
  86261. "name": "batch_normalization_1/ReadVariableOp_1",
  86262. "op": "ReadVariableOp",
  86263. "input0": "batch_normalization_1/beta"
  86264. }
  86265. },
  86266. {
  86267. "ph": "X",
  86268. "cat": "Op",
  86269. "name": "ReadVariableOp",
  86270. "pid": 41,
  86271. "tid": 0,
  86272. "ts": 1539815912099595,
  86273. "dur": 6,
  86274. "args": {
  86275. "name": "conv2d_1/Conv2D/ReadVariableOp",
  86276. "op": "ReadVariableOp",
  86277. "input0": "conv2d_1/kernel"
  86278. }
  86279. },
  86280. {
  86281. "ph": "X",
  86282. "cat": "Op",
  86283. "name": "ReadVariableOp",
  86284. "pid": 41,
  86285. "tid": 0,
  86286. "ts": 1539815912099603,
  86287. "dur": 5,
  86288. "args": {
  86289. "name": "conv2d_1/BiasAdd/ReadVariableOp",
  86290. "op": "ReadVariableOp",
  86291. "input0": "conv2d_1/bias"
  86292. }
  86293. },
  86294. {
  86295. "ph": "X",
  86296. "cat": "Op",
  86297. "name": "ReadVariableOp",
  86298. "pid": 41,
  86299. "tid": 0,
  86300. "ts": 1539815912099611,
  86301. "dur": 6,
  86302. "args": {
  86303. "name": "batch_normalization_2/ReadVariableOp",
  86304. "op": "ReadVariableOp",
  86305. "input0": "batch_normalization_2/gamma"
  86306. }
  86307. },
  86308. {
  86309. "ph": "X",
  86310. "cat": "Op",
  86311. "name": "ReadVariableOp",
  86312. "pid": 41,
  86313. "tid": 0,
  86314. "ts": 1539815912099620,
  86315. "dur": 7,
  86316. "args": {
  86317. "name": "batch_normalization_2/ReadVariableOp_1",
  86318. "op": "ReadVariableOp",
  86319. "input0": "batch_normalization_2/beta"
  86320. }
  86321. },
  86322. {
  86323. "ph": "X",
  86324. "cat": "Op",
  86325. "name": "ReadVariableOp",
  86326. "pid": 41,
  86327. "tid": 0,
  86328. "ts": 1539815912099629,
  86329. "dur": 5,
  86330. "args": {
  86331. "name": "conv2d_2/Conv2D/ReadVariableOp",
  86332. "op": "ReadVariableOp",
  86333. "input0": "conv2d_2/kernel"
  86334. }
  86335. },
  86336. {
  86337. "ph": "X",
  86338. "cat": "Op",
  86339. "name": "ReadVariableOp",
  86340. "pid": 41,
  86341. "tid": 0,
  86342. "ts": 1539815912099636,
  86343. "dur": 6,
  86344. "args": {
  86345. "name": "conv2d_2/BiasAdd/ReadVariableOp",
  86346. "op": "ReadVariableOp",
  86347. "input0": "conv2d_2/bias"
  86348. }
  86349. },
  86350. {
  86351. "ph": "X",
  86352. "cat": "Op",
  86353. "name": "ReadVariableOp",
  86354. "pid": 41,
  86355. "tid": 0,
  86356. "ts": 1539815912099645,
  86357. "dur": 6,
  86358. "args": {
  86359. "name": "dense/MatMul/ReadVariableOp",
  86360. "op": "ReadVariableOp",
  86361. "input0": "dense/kernel"
  86362. }
  86363. },
  86364. {
  86365. "ph": "X",
  86366. "cat": "Op",
  86367. "name": "ReadVariableOp",
  86368. "pid": 41,
  86369. "tid": 0,
  86370. "ts": 1539815912099653,
  86371. "dur": 6,
  86372. "args": {
  86373. "name": "dense/BiasAdd/ReadVariableOp",
  86374. "op": "ReadVariableOp",
  86375. "input0": "dense/bias"
  86376. }
  86377. },
  86378. {
  86379. "ph": "X",
  86380. "cat": "Op",
  86381. "name": "ReadVariableOp",
  86382. "pid": 41,
  86383. "tid": 0,
  86384. "ts": 1539815912099661,
  86385. "dur": 5,
  86386. "args": {
  86387. "name": "dense_1/MatMul/ReadVariableOp",
  86388. "op": "ReadVariableOp",
  86389. "input0": "dense_1/kernel"
  86390. }
  86391. },
  86392. {
  86393. "ph": "X",
  86394. "cat": "Op",
  86395. "name": "ReadVariableOp",
  86396. "pid": 41,
  86397. "tid": 0,
  86398. "ts": 1539815912099668,
  86399. "dur": 5,
  86400. "args": {
  86401. "name": "dense_1/BiasAdd/ReadVariableOp",
  86402. "op": "ReadVariableOp",
  86403. "input0": "dense_1/bias"
  86404. }
  86405. },
  86406. {
  86407. "ph": "X",
  86408. "cat": "Op",
  86409. "name": "Identity",
  86410. "pid": 41,
  86411. "tid": 0,
  86412. "ts": 1539815912100413,
  86413. "dur": 6,
  86414. "args": {
  86415. "name": "Identity_1",
  86416. "op": "Identity",
  86417. "input0": "Identity/ReadVariableOp"
  86418. }
  86419. },
  86420. {
  86421. "ph": "X",
  86422. "cat": "Op",
  86423. "name": "FunctionBufferingResourceGetNext",
  86424. "pid": 41,
  86425. "tid": 1,
  86426. "ts": 1539815912099496,
  86427. "dur": 5463,
  86428. "args": {
  86429. "name": "FunctionBufferingResourceGetNext",
  86430. "op": "FunctionBufferingResourceGetNext",
  86431. "input0": "FunctionBufferingResource"
  86432. }
  86433. },
  86434. {
  86435. "ph": "X",
  86436. "cat": "Op",
  86437. "name": "Cast",
  86438. "pid": 41,
  86439. "tid": 0,
  86440. "ts": 1539815912104987,
  86441. "dur": 2314,
  86442. "args": {
  86443. "name": "Cast",
  86444. "op": "Cast",
  86445. "input0": "FunctionBufferingResourceGetNext"
  86446. }
  86447. },
  86448. {
  86449. "ph": "s",
  86450. "cat": "DataFlow",
  86451. "name": "FunctionBufferingResourceGetNext",
  86452. "pid": 41,
  86453. "tid": 1,
  86454. "ts": 1539815912104959,
  86455. "id": 288
  86456. },
  86457. {
  86458. "ph": "t",
  86459. "cat": "DataFlow",
  86460. "name": "FunctionBufferingResourceGetNext",
  86461. "pid": 41,
  86462. "tid": 0,
  86463. "ts": 1539815912104987,
  86464. "id": 288
  86465. },
  86466. {
  86467. "ph": "X",
  86468. "cat": "Op",
  86469. "name": "Transpose",
  86470. "pid": 41,
  86471. "tid": 0,
  86472. "ts": 1539815912107316,
  86473. "dur": 13,
  86474. "args": {
  86475. "name": "batch_normalization/FusedBatchNorm-0-TransposeNHWCToNCHW-LayoutOptimizer",
  86476. "op": "Transpose",
  86477. "input0": "Cast",
  86478. "input1": "PermConstNHWCToNCHW-LayoutOptimizer"
  86479. }
  86480. },
  86481. {
  86482. "ph": "X",
  86483. "cat": "Op",
  86484. "name": "Cast",
  86485. "pid": 41,
  86486. "tid": 1,
  86487. "ts": 1539815912104982,
  86488. "dur": 2399,
  86489. "args": {
  86490. "name": "Cast_1",
  86491. "op": "Cast",
  86492. "input0": "FunctionBufferingResourceGetNext:1"
  86493. }
  86494. },
  86495. {
  86496. "ph": "X",
  86497. "cat": "Op",
  86498. "name": "Reshape",
  86499. "pid": 41,
  86500. "tid": 0,
  86501. "ts": 1539815912107387,
  86502. "dur": 10,
  86503. "args": {
  86504. "name": "loss/activation_1_loss/Reshape",
  86505. "op": "Reshape",
  86506. "input0": "Cast_1",
  86507. "input1": "loss/activation_1_loss/Reshape/shape"
  86508. }
  86509. },
  86510. {
  86511. "ph": "s",
  86512. "cat": "DataFlow",
  86513. "name": "Cast_1",
  86514. "pid": 41,
  86515. "tid": 1,
  86516. "ts": 1539815912107381,
  86517. "id": 289
  86518. },
  86519. {
  86520. "ph": "t",
  86521. "cat": "DataFlow",
  86522. "name": "Cast_1",
  86523. "pid": 41,
  86524. "tid": 0,
  86525. "ts": 1539815912107387,
  86526. "id": 289
  86527. },
  86528. {
  86529. "ph": "X",
  86530. "cat": "Op",
  86531. "name": "Cast",
  86532. "pid": 41,
  86533. "tid": 0,
  86534. "ts": 1539815912107400,
  86535. "dur": 37,
  86536. "args": {
  86537. "name": "loss/activation_1_loss/Cast",
  86538. "op": "Cast",
  86539. "input0": "loss/activation_1_loss/Reshape"
  86540. }
  86541. },
  86542. {
  86543. "ph": "X",
  86544. "cat": "Op",
  86545. "name": "FusedBatchNorm",
  86546. "pid": 41,
  86547. "tid": 2,
  86548. "ts": 1539815912107333,
  86549. "dur": 4788001,
  86550. "args": {
  86551. "name": "batch_normalization/FusedBatchNorm",
  86552. "op": "FusedBatchNorm",
  86553. "input0": "batch_normalization/FusedBatchNorm-0-TransposeNHWCToNCHW-LayoutOptimizer",
  86554. "input1": "batch_normalization/ReadVariableOp",
  86555. "input2": "batch_normalization/ReadVariableOp_1",
  86556. "input3": "batch_normalization/Const",
  86557. "input4": "batch_normalization/Const"
  86558. }
  86559. },
  86560. {
  86561. "ph": "s",
  86562. "cat": "DataFlow",
  86563. "name": "batch_normalization/FusedBatchNorm-0-TransposeNHWCToNCHW-LayoutOptimizer",
  86564. "pid": 41,
  86565. "tid": 0,
  86566. "ts": 1539815912107329,
  86567. "id": 290
  86568. },
  86569. {
  86570. "ph": "t",
  86571. "cat": "DataFlow",
  86572. "name": "batch_normalization/FusedBatchNorm-0-TransposeNHWCToNCHW-LayoutOptimizer",
  86573. "pid": 41,
  86574. "tid": 2,
  86575. "ts": 1539815912107333,
  86576. "id": 290
  86577. },
  86578. {
  86579. "ph": "s",
  86580. "cat": "DataFlow",
  86581. "name": "batch_normalization/ReadVariableOp",
  86582. "pid": 41,
  86583. "tid": 0,
  86584. "ts": 1539815912099546,
  86585. "id": 291
  86586. },
  86587. {
  86588. "ph": "t",
  86589. "cat": "DataFlow",
  86590. "name": "batch_normalization/ReadVariableOp",
  86591. "pid": 41,
  86592. "tid": 2,
  86593. "ts": 1539815912107333,
  86594. "id": 291
  86595. },
  86596. {
  86597. "ph": "s",
  86598. "cat": "DataFlow",
  86599. "name": "batch_normalization/ReadVariableOp_1",
  86600. "pid": 41,
  86601. "tid": 0,
  86602. "ts": 1539815912099559,
  86603. "id": 292
  86604. },
  86605. {
  86606. "ph": "t",
  86607. "cat": "DataFlow",
  86608. "name": "batch_normalization/ReadVariableOp_1",
  86609. "pid": 41,
  86610. "tid": 2,
  86611. "ts": 1539815912107333,
  86612. "id": 292
  86613. },
  86614. {
  86615. "ph": "s",
  86616. "cat": "DataFlow",
  86617. "name": "batch_normalization/Const",
  86618. "pid": 41,
  86619. "tid": 0,
  86620. "ts": 1539815912098963,
  86621. "id": 293
  86622. },
  86623. {
  86624. "ph": "t",
  86625. "cat": "DataFlow",
  86626. "name": "batch_normalization/Const",
  86627. "pid": 41,
  86628. "tid": 2,
  86629. "ts": 1539815912107333,
  86630. "id": 293
  86631. },
  86632. {
  86633. "ph": "s",
  86634. "cat": "DataFlow",
  86635. "name": "batch_normalization/Const",
  86636. "pid": 41,
  86637. "tid": 0,
  86638. "ts": 1539815912098963,
  86639. "id": 294
  86640. },
  86641. {
  86642. "ph": "t",
  86643. "cat": "DataFlow",
  86644. "name": "batch_normalization/Const",
  86645. "pid": 41,
  86646. "tid": 2,
  86647. "ts": 1539815912107333,
  86648. "id": 294
  86649. },
  86650. {
  86651. "ph": "X",
  86652. "cat": "Op",
  86653. "name": "Sub",
  86654. "pid": 41,
  86655. "tid": 0,
  86656. "ts": 1539815916895348,
  86657. "dur": 68,
  86658. "args": {
  86659. "name": "batch_normalization/AssignMovingAvg/sub_1",
  86660. "op": "Sub",
  86661. "input0": "batch_normalization/AssignMovingAvg/ReadVariableOp",
  86662. "input1": "batch_normalization/FusedBatchNorm:1"
  86663. }
  86664. },
  86665. {
  86666. "ph": "s",
  86667. "cat": "DataFlow",
  86668. "name": "batch_normalization/FusedBatchNorm:1",
  86669. "pid": 41,
  86670. "tid": 2,
  86671. "ts": 1539815916895334,
  86672. "id": 295
  86673. },
  86674. {
  86675. "ph": "t",
  86676. "cat": "DataFlow",
  86677. "name": "batch_normalization/FusedBatchNorm:1",
  86678. "pid": 41,
  86679. "tid": 0,
  86680. "ts": 1539815916895348,
  86681. "id": 295
  86682. },
  86683. {
  86684. "ph": "X",
  86685. "cat": "Op",
  86686. "name": "Sub",
  86687. "pid": 41,
  86688. "tid": 0,
  86689. "ts": 1539815916895420,
  86690. "dur": 50,
  86691. "args": {
  86692. "name": "batch_normalization/AssignMovingAvg_1/sub_1",
  86693. "op": "Sub",
  86694. "input0": "batch_normalization/AssignMovingAvg_1/ReadVariableOp",
  86695. "input1": "batch_normalization/FusedBatchNorm:2"
  86696. }
  86697. },
  86698. {
  86699. "ph": "s",
  86700. "cat": "DataFlow",
  86701. "name": "batch_normalization/FusedBatchNorm:2",
  86702. "pid": 41,
  86703. "tid": 2,
  86704. "ts": 1539815916895334,
  86705. "id": 296
  86706. },
  86707. {
  86708. "ph": "t",
  86709. "cat": "DataFlow",
  86710. "name": "batch_normalization/FusedBatchNorm:2",
  86711. "pid": 41,
  86712. "tid": 0,
  86713. "ts": 1539815916895420,
  86714. "id": 296
  86715. },
  86716. {
  86717. "ph": "X",
  86718. "cat": "Op",
  86719. "name": "ShapeN",
  86720. "pid": 41,
  86721. "tid": 0,
  86722. "ts": 1539815916895475,
  86723. "dur": 20,
  86724. "args": {
  86725. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/ShapeN",
  86726. "op": "ShapeN",
  86727. "input0": "batch_normalization/FusedBatchNorm",
  86728. "input1": "conv2d/Conv2D/ReadVariableOp"
  86729. }
  86730. },
  86731. {
  86732. "ph": "s",
  86733. "cat": "DataFlow",
  86734. "name": "batch_normalization/FusedBatchNorm",
  86735. "pid": 41,
  86736. "tid": 2,
  86737. "ts": 1539815916895334,
  86738. "id": 297
  86739. },
  86740. {
  86741. "ph": "t",
  86742. "cat": "DataFlow",
  86743. "name": "batch_normalization/FusedBatchNorm",
  86744. "pid": 41,
  86745. "tid": 0,
  86746. "ts": 1539815916895475,
  86747. "id": 297
  86748. },
  86749. {
  86750. "ph": "X",
  86751. "cat": "Op",
  86752. "name": "Conv2D",
  86753. "pid": 41,
  86754. "tid": 0,
  86755. "ts": 1539815916895499,
  86756. "dur": 15293,
  86757. "args": {
  86758. "name": "conv2d/Conv2D",
  86759. "op": "Conv2D",
  86760. "input0": "batch_normalization/FusedBatchNorm",
  86761. "input1": "conv2d/Conv2D/ReadVariableOp"
  86762. }
  86763. },
  86764. {
  86765. "ph": "s",
  86766. "cat": "DataFlow",
  86767. "name": "batch_normalization/FusedBatchNorm",
  86768. "pid": 41,
  86769. "tid": 2,
  86770. "ts": 1539815916895334,
  86771. "id": 298
  86772. },
  86773. {
  86774. "ph": "t",
  86775. "cat": "DataFlow",
  86776. "name": "batch_normalization/FusedBatchNorm",
  86777. "pid": 41,
  86778. "tid": 0,
  86779. "ts": 1539815916895499,
  86780. "id": 298
  86781. },
  86782. {
  86783. "ph": "X",
  86784. "cat": "Op",
  86785. "name": "Mul",
  86786. "pid": 41,
  86787. "tid": 0,
  86788. "ts": 1539815916910803,
  86789. "dur": 63,
  86790. "args": {
  86791. "name": "batch_normalization/AssignMovingAvg/mul",
  86792. "op": "Mul",
  86793. "input0": "batch_normalization/AssignMovingAvg/sub_1",
  86794. "input1": "batch_normalization/AssignMovingAvg/sub"
  86795. }
  86796. },
  86797. {
  86798. "ph": "X",
  86799. "cat": "Op",
  86800. "name": "Mul",
  86801. "pid": 41,
  86802. "tid": 0,
  86803. "ts": 1539815916910870,
  86804. "dur": 24,
  86805. "args": {
  86806. "name": "batch_normalization/AssignMovingAvg_1/mul",
  86807. "op": "Mul",
  86808. "input0": "batch_normalization/AssignMovingAvg_1/sub_1",
  86809. "input1": "batch_normalization/AssignMovingAvg/sub"
  86810. }
  86811. },
  86812. {
  86813. "ph": "X",
  86814. "cat": "Op",
  86815. "name": "Const",
  86816. "pid": 41,
  86817. "tid": 0,
  86818. "ts": 1539815916910898,
  86819. "dur": 7,
  86820. "args": {
  86821. "name": "ConstantFolding/training/TFOptimizer/gradients/conv2d/Conv2D_grad/ShapeN-matshapes-1",
  86822. "op": "Const",
  86823. "input0": "^training/TFOptimizer/gradients/conv2d/Conv2D_grad/ShapeN"
  86824. }
  86825. },
  86826. {
  86827. "ph": "X",
  86828. "cat": "Op",
  86829. "name": "BiasAdd",
  86830. "pid": 41,
  86831. "tid": 0,
  86832. "ts": 1539815916910908,
  86833. "dur": 23,
  86834. "args": {
  86835. "name": "conv2d/BiasAdd",
  86836. "op": "BiasAdd",
  86837. "input0": "conv2d/Conv2D",
  86838. "input1": "conv2d/BiasAdd/ReadVariableOp"
  86839. }
  86840. },
  86841. {
  86842. "ph": "X",
  86843. "cat": "Op",
  86844. "name": "AssignSubVariableOp",
  86845. "pid": 41,
  86846. "tid": 0,
  86847. "ts": 1539815916910935,
  86848. "dur": 2275,
  86849. "args": {
  86850. "name": "batch_normalization/AssignMovingAvg/AssignSubVariableOp",
  86851. "op": "AssignSubVariableOp",
  86852. "input0": "batch_normalization/moving_mean",
  86853. "input1": "batch_normalization/AssignMovingAvg/mul"
  86854. }
  86855. },
  86856. {
  86857. "ph": "X",
  86858. "cat": "Op",
  86859. "name": "AssignSubVariableOp",
  86860. "pid": 41,
  86861. "tid": 0,
  86862. "ts": 1539815916913214,
  86863. "dur": 45,
  86864. "args": {
  86865. "name": "batch_normalization/AssignMovingAvg_1/AssignSubVariableOp",
  86866. "op": "AssignSubVariableOp",
  86867. "input0": "batch_normalization/moving_variance",
  86868. "input1": "batch_normalization/AssignMovingAvg_1/mul"
  86869. }
  86870. },
  86871. {
  86872. "ph": "X",
  86873. "cat": "Op",
  86874. "name": "Elu",
  86875. "pid": 41,
  86876. "tid": 0,
  86877. "ts": 1539815916913262,
  86878. "dur": 32,
  86879. "args": {
  86880. "name": "conv2d/Elu",
  86881. "op": "Elu",
  86882. "input0": "conv2d/BiasAdd"
  86883. }
  86884. },
  86885. {
  86886. "ph": "X",
  86887. "cat": "Op",
  86888. "name": "MaxPool",
  86889. "pid": 41,
  86890. "tid": 0,
  86891. "ts": 1539815916913298,
  86892. "dur": 1791,
  86893. "args": {
  86894. "name": "max_pooling2d/MaxPool",
  86895. "op": "MaxPool",
  86896. "input0": "conv2d/Elu"
  86897. }
  86898. },
  86899. {
  86900. "ph": "X",
  86901. "cat": "Op",
  86902. "name": "Shape",
  86903. "pid": 41,
  86904. "tid": 0,
  86905. "ts": 1539815916915098,
  86906. "dur": 16,
  86907. "args": {
  86908. "name": "training/TFOptimizer/gradients/dropout/dropout/div_grad/Shape",
  86909. "op": "Shape",
  86910. "input0": "max_pooling2d/MaxPool"
  86911. }
  86912. },
  86913. {
  86914. "ph": "X",
  86915. "cat": "Op",
  86916. "name": "Mul",
  86917. "pid": 41,
  86918. "tid": 0,
  86919. "ts": 1539815916915116,
  86920. "dur": 31,
  86921. "args": {
  86922. "name": "dropout/dropout/div",
  86923. "op": "Mul",
  86924. "input0": "max_pooling2d/MaxPool",
  86925. "input1": "ConstantFolding/training/TFOptimizer/gradients/dropout/dropout/div_grad/RealDiv_recip"
  86926. }
  86927. },
  86928. {
  86929. "ph": "X",
  86930. "cat": "Op",
  86931. "name": "DataFormatVecPermute",
  86932. "pid": 41,
  86933. "tid": 0,
  86934. "ts": 1539815916915154,
  86935. "dur": 16,
  86936. "args": {
  86937. "name": "training/TFOptimizer/gradients/dropout/dropout/div_grad/Shape-0-0-VecPermuteNCHWToNHWC-LayoutOptimizer",
  86938. "op": "DataFormatVecPermute",
  86939. "input0": "training/TFOptimizer/gradients/dropout/dropout/div_grad/Shape"
  86940. }
  86941. },
  86942. {
  86943. "ph": "X",
  86944. "cat": "Op",
  86945. "name": "BroadcastGradientArgs",
  86946. "pid": 41,
  86947. "tid": 0,
  86948. "ts": 1539815916915172,
  86949. "dur": 11,
  86950. "args": {
  86951. "name": "training/TFOptimizer/gradients/dropout/dropout/div_grad/BroadcastGradientArgs",
  86952. "op": "BroadcastGradientArgs",
  86953. "input0": "training/TFOptimizer/gradients/dropout/dropout/div_grad/Shape-0-0-VecPermuteNCHWToNHWC-LayoutOptimizer",
  86954. "input1": "training/TFOptimizer/gradients/dropout/dropout/div_grad/Shape_1"
  86955. }
  86956. },
  86957. {
  86958. "ph": "X",
  86959. "cat": "Op",
  86960. "name": "RandomUniform",
  86961. "pid": 41,
  86962. "tid": 0,
  86963. "ts": 1539815916915187,
  86964. "dur": 30,
  86965. "args": {
  86966. "name": "dropout/dropout/random_uniform/RandomUniform",
  86967. "op": "RandomUniform",
  86968. "input0": "training/TFOptimizer/gradients/dropout/dropout/div_grad/Shape-1-0-VecPermuteNCHWToNHWC-LayoutOptimizer"
  86969. }
  86970. },
  86971. {
  86972. "ph": "X",
  86973. "cat": "Op",
  86974. "name": "Add",
  86975. "pid": 41,
  86976. "tid": 0,
  86977. "ts": 1539815916915223,
  86978. "dur": 48,
  86979. "args": {
  86980. "name": "dropout/dropout/add",
  86981. "op": "Add",
  86982. "input0": "dropout_2/dropout/keep_prob",
  86983. "input1": "dropout/dropout/random_uniform/RandomUniform"
  86984. }
  86985. },
  86986. {
  86987. "ph": "X",
  86988. "cat": "Op",
  86989. "name": "Floor",
  86990. "pid": 41,
  86991. "tid": 0,
  86992. "ts": 1539815916915275,
  86993. "dur": 80,
  86994. "args": {
  86995. "name": "dropout/dropout/Floor",
  86996. "op": "Floor",
  86997. "input0": "dropout/dropout/add"
  86998. }
  86999. },
  87000. {
  87001. "ph": "X",
  87002. "cat": "Op",
  87003. "name": "Transpose",
  87004. "pid": 41,
  87005. "tid": 0,
  87006. "ts": 1539815916915359,
  87007. "dur": 2948,
  87008. "args": {
  87009. "name": "dropout/dropout/mul-1-TransposeNHWCToNCHW-LayoutOptimizer",
  87010. "op": "Transpose",
  87011. "input0": "dropout/dropout/Floor",
  87012. "input1": "PermConstNHWCToNCHW-LayoutOptimizer"
  87013. }
  87014. },
  87015. {
  87016. "ph": "X",
  87017. "cat": "Op",
  87018. "name": "Mul",
  87019. "pid": 41,
  87020. "tid": 0,
  87021. "ts": 1539815916918347,
  87022. "dur": 29,
  87023. "args": {
  87024. "name": "dropout/dropout/mul",
  87025. "op": "Mul",
  87026. "input0": "dropout/dropout/div",
  87027. "input1": "dropout/dropout/mul-1-TransposeNHWCToNCHW-LayoutOptimizer"
  87028. }
  87029. },
  87030. {
  87031. "ph": "X",
  87032. "cat": "Op",
  87033. "name": "FusedBatchNorm",
  87034. "pid": 41,
  87035. "tid": 0,
  87036. "ts": 1539815916918380,
  87037. "dur": 65,
  87038. "args": {
  87039. "name": "batch_normalization_1/FusedBatchNorm",
  87040. "op": "FusedBatchNorm",
  87041. "input0": "dropout/dropout/mul",
  87042. "input1": "batch_normalization_1/ReadVariableOp",
  87043. "input2": "batch_normalization_1/ReadVariableOp_1",
  87044. "input3": "batch_normalization/Const",
  87045. "input4": "batch_normalization/Const"
  87046. }
  87047. },
  87048. {
  87049. "ph": "X",
  87050. "cat": "Op",
  87051. "name": "Sub",
  87052. "pid": 41,
  87053. "tid": 0,
  87054. "ts": 1539815916918453,
  87055. "dur": 28,
  87056. "args": {
  87057. "name": "batch_normalization_1/AssignMovingAvg/sub_1",
  87058. "op": "Sub",
  87059. "input0": "batch_normalization_1/AssignMovingAvg/ReadVariableOp",
  87060. "input1": "batch_normalization_1/FusedBatchNorm:1"
  87061. }
  87062. },
  87063. {
  87064. "ph": "X",
  87065. "cat": "Op",
  87066. "name": "Sub",
  87067. "pid": 41,
  87068. "tid": 0,
  87069. "ts": 1539815916918484,
  87070. "dur": 20,
  87071. "args": {
  87072. "name": "batch_normalization_1/AssignMovingAvg_1/sub_1",
  87073. "op": "Sub",
  87074. "input0": "batch_normalization_1/AssignMovingAvg_1/ReadVariableOp",
  87075. "input1": "batch_normalization_1/FusedBatchNorm:2"
  87076. }
  87077. },
  87078. {
  87079. "ph": "X",
  87080. "cat": "Op",
  87081. "name": "ShapeN",
  87082. "pid": 41,
  87083. "tid": 0,
  87084. "ts": 1539815916918508,
  87085. "dur": 13,
  87086. "args": {
  87087. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/ShapeN",
  87088. "op": "ShapeN",
  87089. "input0": "batch_normalization_1/FusedBatchNorm",
  87090. "input1": "conv2d_1/Conv2D/ReadVariableOp"
  87091. }
  87092. },
  87093. {
  87094. "ph": "X",
  87095. "cat": "Op",
  87096. "name": "Conv2D",
  87097. "pid": 41,
  87098. "tid": 0,
  87099. "ts": 1539815916918524,
  87100. "dur": 20156,
  87101. "args": {
  87102. "name": "conv2d_1/Conv2D",
  87103. "op": "Conv2D",
  87104. "input0": "batch_normalization_1/FusedBatchNorm",
  87105. "input1": "conv2d_1/Conv2D/ReadVariableOp"
  87106. }
  87107. },
  87108. {
  87109. "ph": "X",
  87110. "cat": "Op",
  87111. "name": "Mul",
  87112. "pid": 41,
  87113. "tid": 0,
  87114. "ts": 1539815916938691,
  87115. "dur": 31,
  87116. "args": {
  87117. "name": "batch_normalization_1/AssignMovingAvg/mul",
  87118. "op": "Mul",
  87119. "input0": "batch_normalization_1/AssignMovingAvg/sub_1",
  87120. "input1": "batch_normalization/AssignMovingAvg/sub"
  87121. }
  87122. },
  87123. {
  87124. "ph": "X",
  87125. "cat": "Op",
  87126. "name": "Mul",
  87127. "pid": 41,
  87128. "tid": 0,
  87129. "ts": 1539815916938727,
  87130. "dur": 20,
  87131. "args": {
  87132. "name": "batch_normalization_1/AssignMovingAvg_1/mul",
  87133. "op": "Mul",
  87134. "input0": "batch_normalization_1/AssignMovingAvg_1/sub_1",
  87135. "input1": "batch_normalization/AssignMovingAvg/sub"
  87136. }
  87137. },
  87138. {
  87139. "ph": "X",
  87140. "cat": "Op",
  87141. "name": "Const",
  87142. "pid": 41,
  87143. "tid": 0,
  87144. "ts": 1539815916938755,
  87145. "dur": 7,
  87146. "args": {
  87147. "name": "ConstantFolding/training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/ShapeN-matshapes-1",
  87148. "op": "Const",
  87149. "input0": "^training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/ShapeN"
  87150. }
  87151. },
  87152. {
  87153. "ph": "X",
  87154. "cat": "Op",
  87155. "name": "BiasAdd",
  87156. "pid": 41,
  87157. "tid": 0,
  87158. "ts": 1539815916938764,
  87159. "dur": 29,
  87160. "args": {
  87161. "name": "conv2d_1/BiasAdd",
  87162. "op": "BiasAdd",
  87163. "input0": "conv2d_1/Conv2D",
  87164. "input1": "conv2d_1/BiasAdd/ReadVariableOp"
  87165. }
  87166. },
  87167. {
  87168. "ph": "X",
  87169. "cat": "Op",
  87170. "name": "AssignSubVariableOp",
  87171. "pid": 41,
  87172. "tid": 0,
  87173. "ts": 1539815916938796,
  87174. "dur": 70,
  87175. "args": {
  87176. "name": "batch_normalization_1/AssignMovingAvg/AssignSubVariableOp",
  87177. "op": "AssignSubVariableOp",
  87178. "input0": "batch_normalization_1/moving_mean",
  87179. "input1": "batch_normalization_1/AssignMovingAvg/mul"
  87180. }
  87181. },
  87182. {
  87183. "ph": "X",
  87184. "cat": "Op",
  87185. "name": "AssignSubVariableOp",
  87186. "pid": 41,
  87187. "tid": 0,
  87188. "ts": 1539815916938870,
  87189. "dur": 42,
  87190. "args": {
  87191. "name": "batch_normalization_1/AssignMovingAvg_1/AssignSubVariableOp",
  87192. "op": "AssignSubVariableOp",
  87193. "input0": "batch_normalization_1/moving_variance",
  87194. "input1": "batch_normalization_1/AssignMovingAvg_1/mul"
  87195. }
  87196. },
  87197. {
  87198. "ph": "X",
  87199. "cat": "Op",
  87200. "name": "Elu",
  87201. "pid": 41,
  87202. "tid": 0,
  87203. "ts": 1539815916938915,
  87204. "dur": 23,
  87205. "args": {
  87206. "name": "conv2d_1/Elu",
  87207. "op": "Elu",
  87208. "input0": "conv2d_1/BiasAdd"
  87209. }
  87210. },
  87211. {
  87212. "ph": "X",
  87213. "cat": "Op",
  87214. "name": "MaxPool",
  87215. "pid": 41,
  87216. "tid": 0,
  87217. "ts": 1539815916938941,
  87218. "dur": 39,
  87219. "args": {
  87220. "name": "max_pooling2d_1/MaxPool",
  87221. "op": "MaxPool",
  87222. "input0": "conv2d_1/Elu"
  87223. }
  87224. },
  87225. {
  87226. "ph": "X",
  87227. "cat": "Op",
  87228. "name": "Shape",
  87229. "pid": 41,
  87230. "tid": 0,
  87231. "ts": 1539815916938987,
  87232. "dur": 11,
  87233. "args": {
  87234. "name": "training/TFOptimizer/gradients/dropout_1/dropout/div_grad/Shape",
  87235. "op": "Shape",
  87236. "input0": "max_pooling2d_1/MaxPool"
  87237. }
  87238. },
  87239. {
  87240. "ph": "X",
  87241. "cat": "Op",
  87242. "name": "Mul",
  87243. "pid": 41,
  87244. "tid": 0,
  87245. "ts": 1539815916939001,
  87246. "dur": 25,
  87247. "args": {
  87248. "name": "dropout_1/dropout/div",
  87249. "op": "Mul",
  87250. "input0": "max_pooling2d_1/MaxPool",
  87251. "input1": "ConstantFolding/training/TFOptimizer/gradients/dropout/dropout/div_grad/RealDiv_recip"
  87252. }
  87253. },
  87254. {
  87255. "ph": "X",
  87256. "cat": "Op",
  87257. "name": "DataFormatVecPermute",
  87258. "pid": 41,
  87259. "tid": 0,
  87260. "ts": 1539815916939032,
  87261. "dur": 13,
  87262. "args": {
  87263. "name": "training/TFOptimizer/gradients/dropout_1/dropout/div_grad/Shape-0-1-VecPermuteNCHWToNHWC-LayoutOptimizer",
  87264. "op": "DataFormatVecPermute",
  87265. "input0": "training/TFOptimizer/gradients/dropout_1/dropout/div_grad/Shape"
  87266. }
  87267. },
  87268. {
  87269. "ph": "X",
  87270. "cat": "Op",
  87271. "name": "RandomUniform",
  87272. "pid": 41,
  87273. "tid": 0,
  87274. "ts": 1539815916939048,
  87275. "dur": 24,
  87276. "args": {
  87277. "name": "dropout_1/dropout/random_uniform/RandomUniform",
  87278. "op": "RandomUniform",
  87279. "input0": "training/TFOptimizer/gradients/dropout_1/dropout/div_grad/Shape-1-0-VecPermuteNCHWToNHWC-LayoutOptimizer"
  87280. }
  87281. },
  87282. {
  87283. "ph": "X",
  87284. "cat": "Op",
  87285. "name": "BroadcastGradientArgs",
  87286. "pid": 41,
  87287. "tid": 0,
  87288. "ts": 1539815916939078,
  87289. "dur": 11,
  87290. "args": {
  87291. "name": "training/TFOptimizer/gradients/dropout_1/dropout/div_grad/BroadcastGradientArgs",
  87292. "op": "BroadcastGradientArgs",
  87293. "input0": "training/TFOptimizer/gradients/dropout_1/dropout/div_grad/Shape-2-0-VecPermuteNCHWToNHWC-LayoutOptimizer",
  87294. "input1": "training/TFOptimizer/gradients/dropout/dropout/div_grad/Shape_1"
  87295. }
  87296. },
  87297. {
  87298. "ph": "X",
  87299. "cat": "Op",
  87300. "name": "Add",
  87301. "pid": 41,
  87302. "tid": 0,
  87303. "ts": 1539815916939092,
  87304. "dur": 23,
  87305. "args": {
  87306. "name": "dropout_1/dropout/add",
  87307. "op": "Add",
  87308. "input0": "dropout_2/dropout/keep_prob",
  87309. "input1": "dropout_1/dropout/random_uniform/RandomUniform"
  87310. }
  87311. },
  87312. {
  87313. "ph": "X",
  87314. "cat": "Op",
  87315. "name": "Floor",
  87316. "pid": 41,
  87317. "tid": 0,
  87318. "ts": 1539815916939119,
  87319. "dur": 19,
  87320. "args": {
  87321. "name": "dropout_1/dropout/Floor",
  87322. "op": "Floor",
  87323. "input0": "dropout_1/dropout/add"
  87324. }
  87325. },
  87326. {
  87327. "ph": "X",
  87328. "cat": "Op",
  87329. "name": "Transpose",
  87330. "pid": 41,
  87331. "tid": 0,
  87332. "ts": 1539815916939141,
  87333. "dur": 27,
  87334. "args": {
  87335. "name": "dropout_1/dropout/mul-1-TransposeNHWCToNCHW-LayoutOptimizer",
  87336. "op": "Transpose",
  87337. "input0": "dropout_1/dropout/Floor",
  87338. "input1": "PermConstNHWCToNCHW-LayoutOptimizer"
  87339. }
  87340. },
  87341. {
  87342. "ph": "X",
  87343. "cat": "Op",
  87344. "name": "Mul",
  87345. "pid": 41,
  87346. "tid": 0,
  87347. "ts": 1539815916939173,
  87348. "dur": 22,
  87349. "args": {
  87350. "name": "dropout_1/dropout/mul",
  87351. "op": "Mul",
  87352. "input0": "dropout_1/dropout/div",
  87353. "input1": "dropout_1/dropout/mul-1-TransposeNHWCToNCHW-LayoutOptimizer"
  87354. }
  87355. },
  87356. {
  87357. "ph": "X",
  87358. "cat": "Op",
  87359. "name": "FusedBatchNorm",
  87360. "pid": 41,
  87361. "tid": 0,
  87362. "ts": 1539815916939198,
  87363. "dur": 60,
  87364. "args": {
  87365. "name": "batch_normalization_2/FusedBatchNorm",
  87366. "op": "FusedBatchNorm",
  87367. "input0": "dropout_1/dropout/mul",
  87368. "input1": "batch_normalization_2/ReadVariableOp",
  87369. "input2": "batch_normalization_2/ReadVariableOp_1",
  87370. "input3": "batch_normalization/Const",
  87371. "input4": "batch_normalization/Const"
  87372. }
  87373. },
  87374. {
  87375. "ph": "X",
  87376. "cat": "Op",
  87377. "name": "Sub",
  87378. "pid": 41,
  87379. "tid": 0,
  87380. "ts": 1539815916939266,
  87381. "dur": 26,
  87382. "args": {
  87383. "name": "batch_normalization_2/AssignMovingAvg/sub_1",
  87384. "op": "Sub",
  87385. "input0": "batch_normalization_2/AssignMovingAvg/ReadVariableOp",
  87386. "input1": "batch_normalization_2/FusedBatchNorm:1"
  87387. }
  87388. },
  87389. {
  87390. "ph": "X",
  87391. "cat": "Op",
  87392. "name": "Sub",
  87393. "pid": 41,
  87394. "tid": 0,
  87395. "ts": 1539815916939295,
  87396. "dur": 20,
  87397. "args": {
  87398. "name": "batch_normalization_2/AssignMovingAvg_1/sub_1",
  87399. "op": "Sub",
  87400. "input0": "batch_normalization_2/AssignMovingAvg_1/ReadVariableOp",
  87401. "input1": "batch_normalization_2/FusedBatchNorm:2"
  87402. }
  87403. },
  87404. {
  87405. "ph": "X",
  87406. "cat": "Op",
  87407. "name": "ShapeN",
  87408. "pid": 41,
  87409. "tid": 0,
  87410. "ts": 1539815916939318,
  87411. "dur": 13,
  87412. "args": {
  87413. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/ShapeN",
  87414. "op": "ShapeN",
  87415. "input0": "batch_normalization_2/FusedBatchNorm",
  87416. "input1": "conv2d_2/Conv2D/ReadVariableOp"
  87417. }
  87418. },
  87419. {
  87420. "ph": "X",
  87421. "cat": "Op",
  87422. "name": "Conv2D",
  87423. "pid": 41,
  87424. "tid": 0,
  87425. "ts": 1539815916939334,
  87426. "dur": 24080,
  87427. "args": {
  87428. "name": "conv2d_2/Conv2D",
  87429. "op": "Conv2D",
  87430. "input0": "batch_normalization_2/FusedBatchNorm",
  87431. "input1": "conv2d_2/Conv2D/ReadVariableOp"
  87432. }
  87433. },
  87434. {
  87435. "ph": "X",
  87436. "cat": "Op",
  87437. "name": "Mul",
  87438. "pid": 41,
  87439. "tid": 0,
  87440. "ts": 1539815916963425,
  87441. "dur": 30,
  87442. "args": {
  87443. "name": "batch_normalization_2/AssignMovingAvg/mul",
  87444. "op": "Mul",
  87445. "input0": "batch_normalization_2/AssignMovingAvg/sub_1",
  87446. "input1": "batch_normalization/AssignMovingAvg/sub"
  87447. }
  87448. },
  87449. {
  87450. "ph": "X",
  87451. "cat": "Op",
  87452. "name": "Mul",
  87453. "pid": 41,
  87454. "tid": 0,
  87455. "ts": 1539815916963459,
  87456. "dur": 20,
  87457. "args": {
  87458. "name": "batch_normalization_2/AssignMovingAvg_1/mul",
  87459. "op": "Mul",
  87460. "input0": "batch_normalization_2/AssignMovingAvg_1/sub_1",
  87461. "input1": "batch_normalization/AssignMovingAvg/sub"
  87462. }
  87463. },
  87464. {
  87465. "ph": "X",
  87466. "cat": "Op",
  87467. "name": "Const",
  87468. "pid": 41,
  87469. "tid": 0,
  87470. "ts": 1539815916963482,
  87471. "dur": 6,
  87472. "args": {
  87473. "name": "ConstantFolding/training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/ShapeN-matshapes-1",
  87474. "op": "Const",
  87475. "input0": "^training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/ShapeN"
  87476. }
  87477. },
  87478. {
  87479. "ph": "X",
  87480. "cat": "Op",
  87481. "name": "BiasAdd",
  87482. "pid": 41,
  87483. "tid": 0,
  87484. "ts": 1539815916963490,
  87485. "dur": 20,
  87486. "args": {
  87487. "name": "conv2d_2/BiasAdd",
  87488. "op": "BiasAdd",
  87489. "input0": "conv2d_2/Conv2D",
  87490. "input1": "conv2d_2/BiasAdd/ReadVariableOp"
  87491. }
  87492. },
  87493. {
  87494. "ph": "X",
  87495. "cat": "Op",
  87496. "name": "AssignSubVariableOp",
  87497. "pid": 41,
  87498. "tid": 0,
  87499. "ts": 1539815916963517,
  87500. "dur": 49,
  87501. "args": {
  87502. "name": "batch_normalization_2/AssignMovingAvg/AssignSubVariableOp",
  87503. "op": "AssignSubVariableOp",
  87504. "input0": "batch_normalization_2/moving_mean",
  87505. "input1": "batch_normalization_2/AssignMovingAvg/mul"
  87506. }
  87507. },
  87508. {
  87509. "ph": "X",
  87510. "cat": "Op",
  87511. "name": "AssignSubVariableOp",
  87512. "pid": 41,
  87513. "tid": 0,
  87514. "ts": 1539815916963569,
  87515. "dur": 39,
  87516. "args": {
  87517. "name": "batch_normalization_2/AssignMovingAvg_1/AssignSubVariableOp",
  87518. "op": "AssignSubVariableOp",
  87519. "input0": "batch_normalization_2/moving_variance",
  87520. "input1": "batch_normalization_2/AssignMovingAvg_1/mul"
  87521. }
  87522. },
  87523. {
  87524. "ph": "X",
  87525. "cat": "Op",
  87526. "name": "Elu",
  87527. "pid": 41,
  87528. "tid": 0,
  87529. "ts": 1539815916963611,
  87530. "dur": 21,
  87531. "args": {
  87532. "name": "conv2d_2/Elu",
  87533. "op": "Elu",
  87534. "input0": "conv2d_2/BiasAdd"
  87535. }
  87536. },
  87537. {
  87538. "ph": "X",
  87539. "cat": "Op",
  87540. "name": "MaxPool",
  87541. "pid": 41,
  87542. "tid": 0,
  87543. "ts": 1539815916963635,
  87544. "dur": 38,
  87545. "args": {
  87546. "name": "max_pooling2d_2/MaxPool",
  87547. "op": "MaxPool",
  87548. "input0": "conv2d_2/Elu"
  87549. }
  87550. },
  87551. {
  87552. "ph": "X",
  87553. "cat": "Op",
  87554. "name": "Shape",
  87555. "pid": 41,
  87556. "tid": 0,
  87557. "ts": 1539815916963680,
  87558. "dur": 11,
  87559. "args": {
  87560. "name": "training/TFOptimizer/gradients/dropout_2/dropout/div_grad/Shape",
  87561. "op": "Shape",
  87562. "input0": "max_pooling2d_2/MaxPool"
  87563. }
  87564. },
  87565. {
  87566. "ph": "X",
  87567. "cat": "Op",
  87568. "name": "Mul",
  87569. "pid": 41,
  87570. "tid": 0,
  87571. "ts": 1539815916963694,
  87572. "dur": 25,
  87573. "args": {
  87574. "name": "dropout_2/dropout/div",
  87575. "op": "Mul",
  87576. "input0": "max_pooling2d_2/MaxPool",
  87577. "input1": "ConstantFolding/training/TFOptimizer/gradients/dropout/dropout/div_grad/RealDiv_recip"
  87578. }
  87579. },
  87580. {
  87581. "ph": "X",
  87582. "cat": "Op",
  87583. "name": "DataFormatVecPermute",
  87584. "pid": 41,
  87585. "tid": 0,
  87586. "ts": 1539815916963725,
  87587. "dur": 13,
  87588. "args": {
  87589. "name": "training/TFOptimizer/gradients/dropout_2/dropout/div_grad/Shape-0-1-VecPermuteNCHWToNHWC-LayoutOptimizer",
  87590. "op": "DataFormatVecPermute",
  87591. "input0": "training/TFOptimizer/gradients/dropout_2/dropout/div_grad/Shape"
  87592. }
  87593. },
  87594. {
  87595. "ph": "X",
  87596. "cat": "Op",
  87597. "name": "RandomUniform",
  87598. "pid": 41,
  87599. "tid": 0,
  87600. "ts": 1539815916963741,
  87601. "dur": 25,
  87602. "args": {
  87603. "name": "dropout_2/dropout/random_uniform/RandomUniform",
  87604. "op": "RandomUniform",
  87605. "input0": "training/TFOptimizer/gradients/dropout_2/dropout/div_grad/Shape-1-0-VecPermuteNCHWToNHWC-LayoutOptimizer"
  87606. }
  87607. },
  87608. {
  87609. "ph": "X",
  87610. "cat": "Op",
  87611. "name": "BroadcastGradientArgs",
  87612. "pid": 41,
  87613. "tid": 0,
  87614. "ts": 1539815916963772,
  87615. "dur": 11,
  87616. "args": {
  87617. "name": "training/TFOptimizer/gradients/dropout_2/dropout/div_grad/BroadcastGradientArgs",
  87618. "op": "BroadcastGradientArgs",
  87619. "input0": "training/TFOptimizer/gradients/dropout_2/dropout/div_grad/Shape-2-0-VecPermuteNCHWToNHWC-LayoutOptimizer",
  87620. "input1": "training/TFOptimizer/gradients/dropout/dropout/div_grad/Shape_1"
  87621. }
  87622. },
  87623. {
  87624. "ph": "X",
  87625. "cat": "Op",
  87626. "name": "Add",
  87627. "pid": 41,
  87628. "tid": 0,
  87629. "ts": 1539815916963786,
  87630. "dur": 23,
  87631. "args": {
  87632. "name": "dropout_2/dropout/add",
  87633. "op": "Add",
  87634. "input0": "dropout_2/dropout/keep_prob",
  87635. "input1": "dropout_2/dropout/random_uniform/RandomUniform"
  87636. }
  87637. },
  87638. {
  87639. "ph": "X",
  87640. "cat": "Op",
  87641. "name": "Floor",
  87642. "pid": 41,
  87643. "tid": 0,
  87644. "ts": 1539815916963812,
  87645. "dur": 20,
  87646. "args": {
  87647. "name": "dropout_2/dropout/Floor",
  87648. "op": "Floor",
  87649. "input0": "dropout_2/dropout/add"
  87650. }
  87651. },
  87652. {
  87653. "ph": "X",
  87654. "cat": "Op",
  87655. "name": "Transpose",
  87656. "pid": 41,
  87657. "tid": 0,
  87658. "ts": 1539815916963835,
  87659. "dur": 1275,
  87660. "args": {
  87661. "name": "dropout_2/dropout/mul-1-TransposeNHWCToNCHW-LayoutOptimizer",
  87662. "op": "Transpose",
  87663. "input0": "dropout_2/dropout/Floor",
  87664. "input1": "PermConstNHWCToNCHW-LayoutOptimizer"
  87665. }
  87666. },
  87667. {
  87668. "ph": "X",
  87669. "cat": "Op",
  87670. "name": "Mul",
  87671. "pid": 41,
  87672. "tid": 0,
  87673. "ts": 1539815916965118,
  87674. "dur": 28,
  87675. "args": {
  87676. "name": "dropout_2/dropout/mul",
  87677. "op": "Mul",
  87678. "input0": "dropout_2/dropout/div",
  87679. "input1": "dropout_2/dropout/mul-1-TransposeNHWCToNCHW-LayoutOptimizer"
  87680. }
  87681. },
  87682. {
  87683. "ph": "X",
  87684. "cat": "Op",
  87685. "name": "Shape",
  87686. "pid": 41,
  87687. "tid": 0,
  87688. "ts": 1539815916965150,
  87689. "dur": 12,
  87690. "args": {
  87691. "name": "training/TFOptimizer/gradients/flatten/Reshape_grad/Shape",
  87692. "op": "Shape",
  87693. "input0": "dropout_2/dropout/mul"
  87694. }
  87695. },
  87696. {
  87697. "ph": "X",
  87698. "cat": "Op",
  87699. "name": "Transpose",
  87700. "pid": 41,
  87701. "tid": 0,
  87702. "ts": 1539815916965164,
  87703. "dur": 29,
  87704. "args": {
  87705. "name": "dropout_2/dropout/mul-1-0-TransposeNCHWToNHWC-LayoutOptimizer",
  87706. "op": "Transpose",
  87707. "input0": "dropout_2/dropout/mul",
  87708. "input1": "PermConstNCHWToNHWC-LayoutOptimizer"
  87709. }
  87710. },
  87711. {
  87712. "ph": "X",
  87713. "cat": "Op",
  87714. "name": "DataFormatVecPermute",
  87715. "pid": 41,
  87716. "tid": 0,
  87717. "ts": 1539815916965199,
  87718. "dur": 12,
  87719. "args": {
  87720. "name": "training/TFOptimizer/gradients/flatten/Reshape_grad/Shape-0-0-VecPermuteNCHWToNHWC-LayoutOptimizer",
  87721. "op": "DataFormatVecPermute",
  87722. "input0": "training/TFOptimizer/gradients/flatten/Reshape_grad/Shape"
  87723. }
  87724. },
  87725. {
  87726. "ph": "X",
  87727. "cat": "Op",
  87728. "name": "StridedSlice",
  87729. "pid": 41,
  87730. "tid": 0,
  87731. "ts": 1539815916965214,
  87732. "dur": 22,
  87733. "args": {
  87734. "name": "flatten/strided_slice",
  87735. "op": "StridedSlice",
  87736. "input0": "training/TFOptimizer/gradients/flatten/Reshape_grad/Shape-0-0-VecPermuteNCHWToNHWC-LayoutOptimizer",
  87737. "input1": "metrics/sparse_categorical_accuracy/Const",
  87738. "input2": "flatten/strided_slice/stack_1",
  87739. "input3": "flatten/strided_slice/stack_1"
  87740. }
  87741. },
  87742. {
  87743. "ph": "X",
  87744. "cat": "Op",
  87745. "name": "Pack",
  87746. "pid": 41,
  87747. "tid": 0,
  87748. "ts": 1539815916965241,
  87749. "dur": 34,
  87750. "args": {
  87751. "name": "flatten/Reshape/shape",
  87752. "op": "Pack",
  87753. "input0": "flatten/strided_slice",
  87754. "input1": "metrics/sparse_categorical_accuracy/Max/reduction_indices"
  87755. }
  87756. },
  87757. {
  87758. "ph": "X",
  87759. "cat": "Op",
  87760. "name": "Reshape",
  87761. "pid": 41,
  87762. "tid": 0,
  87763. "ts": 1539815916965278,
  87764. "dur": 10,
  87765. "args": {
  87766. "name": "flatten/Reshape",
  87767. "op": "Reshape",
  87768. "input0": "dropout_2/dropout/mul-1-0-TransposeNCHWToNHWC-LayoutOptimizer",
  87769. "input1": "flatten/Reshape/shape"
  87770. }
  87771. },
  87772. {
  87773. "ph": "X",
  87774. "cat": "Op",
  87775. "name": "MatMul",
  87776. "pid": 41,
  87777. "tid": 0,
  87778. "ts": 1539815916965291,
  87779. "dur": 2719,
  87780. "args": {
  87781. "name": "dense/MatMul",
  87782. "op": "MatMul",
  87783. "input0": "flatten/Reshape",
  87784. "input1": "dense/MatMul/ReadVariableOp"
  87785. }
  87786. },
  87787. {
  87788. "ph": "X",
  87789. "cat": "Op",
  87790. "name": "BiasAdd",
  87791. "pid": 41,
  87792. "tid": 0,
  87793. "ts": 1539815916968018,
  87794. "dur": 31,
  87795. "args": {
  87796. "name": "dense/BiasAdd",
  87797. "op": "BiasAdd",
  87798. "input0": "dense/MatMul",
  87799. "input1": "dense/BiasAdd/ReadVariableOp"
  87800. }
  87801. },
  87802. {
  87803. "ph": "X",
  87804. "cat": "Op",
  87805. "name": "Elu",
  87806. "pid": 41,
  87807. "tid": 0,
  87808. "ts": 1539815916968052,
  87809. "dur": 21,
  87810. "args": {
  87811. "name": "activation/Elu",
  87812. "op": "Elu",
  87813. "input0": "dense/BiasAdd"
  87814. }
  87815. },
  87816. {
  87817. "ph": "X",
  87818. "cat": "Op",
  87819. "name": "Shape",
  87820. "pid": 41,
  87821. "tid": 0,
  87822. "ts": 1539815916968077,
  87823. "dur": 9,
  87824. "args": {
  87825. "name": "training/TFOptimizer/gradients/dropout_3/dropout/div_grad/Shape",
  87826. "op": "Shape",
  87827. "input0": "activation/Elu"
  87828. }
  87829. },
  87830. {
  87831. "ph": "X",
  87832. "cat": "Op",
  87833. "name": "Mul",
  87834. "pid": 41,
  87835. "tid": 0,
  87836. "ts": 1539815916968089,
  87837. "dur": 25,
  87838. "args": {
  87839. "name": "dropout_3/dropout/div",
  87840. "op": "Mul",
  87841. "input0": "activation/Elu",
  87842. "input1": "ConstantFolding/training/TFOptimizer/gradients/dropout_3/dropout/div_grad/RealDiv_recip"
  87843. }
  87844. },
  87845. {
  87846. "ph": "X",
  87847. "cat": "Op",
  87848. "name": "BroadcastGradientArgs",
  87849. "pid": 41,
  87850. "tid": 0,
  87851. "ts": 1539815916968120,
  87852. "dur": 13,
  87853. "args": {
  87854. "name": "training/TFOptimizer/gradients/dropout_3/dropout/div_grad/BroadcastGradientArgs",
  87855. "op": "BroadcastGradientArgs",
  87856. "input0": "training/TFOptimizer/gradients/dropout_3/dropout/div_grad/Shape",
  87857. "input1": "training/TFOptimizer/gradients/dropout/dropout/div_grad/Shape_1"
  87858. }
  87859. },
  87860. {
  87861. "ph": "X",
  87862. "cat": "Op",
  87863. "name": "RandomUniform",
  87864. "pid": 41,
  87865. "tid": 0,
  87866. "ts": 1539815916968135,
  87867. "dur": 23,
  87868. "args": {
  87869. "name": "dropout_3/dropout/random_uniform/RandomUniform",
  87870. "op": "RandomUniform",
  87871. "input0": "training/TFOptimizer/gradients/dropout_3/dropout/div_grad/Shape"
  87872. }
  87873. },
  87874. {
  87875. "ph": "X",
  87876. "cat": "Op",
  87877. "name": "Add",
  87878. "pid": 41,
  87879. "tid": 0,
  87880. "ts": 1539815916968164,
  87881. "dur": 25,
  87882. "args": {
  87883. "name": "dropout_3/dropout/add",
  87884. "op": "Add",
  87885. "input0": "dropout_3/dropout/keep_prob",
  87886. "input1": "dropout_3/dropout/random_uniform/RandomUniform"
  87887. }
  87888. },
  87889. {
  87890. "ph": "X",
  87891. "cat": "Op",
  87892. "name": "Floor",
  87893. "pid": 41,
  87894. "tid": 0,
  87895. "ts": 1539815916968193,
  87896. "dur": 19,
  87897. "args": {
  87898. "name": "dropout_3/dropout/Floor",
  87899. "op": "Floor",
  87900. "input0": "dropout_3/dropout/add"
  87901. }
  87902. },
  87903. {
  87904. "ph": "X",
  87905. "cat": "Op",
  87906. "name": "Mul",
  87907. "pid": 41,
  87908. "tid": 0,
  87909. "ts": 1539815916968215,
  87910. "dur": 18,
  87911. "args": {
  87912. "name": "dropout_3/dropout/mul",
  87913. "op": "Mul",
  87914. "input0": "dropout_3/dropout/div",
  87915. "input1": "dropout_3/dropout/Floor"
  87916. }
  87917. },
  87918. {
  87919. "ph": "X",
  87920. "cat": "Op",
  87921. "name": "MatMul",
  87922. "pid": 41,
  87923. "tid": 0,
  87924. "ts": 1539815916968237,
  87925. "dur": 31,
  87926. "args": {
  87927. "name": "dense_1/MatMul",
  87928. "op": "MatMul",
  87929. "input0": "dropout_3/dropout/mul",
  87930. "input1": "dense_1/MatMul/ReadVariableOp"
  87931. }
  87932. },
  87933. {
  87934. "ph": "X",
  87935. "cat": "Op",
  87936. "name": "BiasAdd",
  87937. "pid": 41,
  87938. "tid": 0,
  87939. "ts": 1539815916968272,
  87940. "dur": 20,
  87941. "args": {
  87942. "name": "dense_1/BiasAdd",
  87943. "op": "BiasAdd",
  87944. "input0": "dense_1/MatMul",
  87945. "input1": "dense_1/BiasAdd/ReadVariableOp"
  87946. }
  87947. },
  87948. {
  87949. "ph": "X",
  87950. "cat": "Op",
  87951. "name": "Softmax",
  87952. "pid": 41,
  87953. "tid": 0,
  87954. "ts": 1539815916968296,
  87955. "dur": 3127,
  87956. "args": {
  87957. "name": "activation_1/Softmax",
  87958. "op": "Softmax",
  87959. "input0": "dense_1/BiasAdd"
  87960. }
  87961. },
  87962. {
  87963. "ph": "X",
  87964. "cat": "Op",
  87965. "name": "LessEqual",
  87966. "pid": 41,
  87967. "tid": 0,
  87968. "ts": 1539815916971427,
  87969. "dur": 2705,
  87970. "args": {
  87971. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value/Minimum_grad/LessEqual",
  87972. "op": "LessEqual",
  87973. "input0": "activation_1/Softmax",
  87974. "input1": "loss/activation_1_loss/sub"
  87975. }
  87976. },
  87977. {
  87978. "ph": "X",
  87979. "cat": "Op",
  87980. "name": "Minimum",
  87981. "pid": 41,
  87982. "tid": 0,
  87983. "ts": 1539815916974139,
  87984. "dur": 53,
  87985. "args": {
  87986. "name": "loss/activation_1_loss/clip_by_value/Minimum",
  87987. "op": "Minimum",
  87988. "input0": "activation_1/Softmax",
  87989. "input1": "loss/activation_1_loss/sub"
  87990. }
  87991. },
  87992. {
  87993. "ph": "X",
  87994. "cat": "Op",
  87995. "name": "Shape",
  87996. "pid": 41,
  87997. "tid": 0,
  87998. "ts": 1539815916974199,
  87999. "dur": 18,
  88000. "args": {
  88001. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value/Minimum_grad/Shape",
  88002. "op": "Shape",
  88003. "input0": "activation_1/Softmax"
  88004. }
  88005. },
  88006. {
  88007. "ph": "X",
  88008. "cat": "Op",
  88009. "name": "GreaterEqual",
  88010. "pid": 41,
  88011. "tid": 0,
  88012. "ts": 1539815916974222,
  88013. "dur": 1579,
  88014. "args": {
  88015. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value_grad/GreaterEqual",
  88016. "op": "GreaterEqual",
  88017. "input0": "loss/activation_1_loss/clip_by_value/Minimum",
  88018. "input1": "loss/activation_1_loss/Const"
  88019. }
  88020. },
  88021. {
  88022. "ph": "X",
  88023. "cat": "Op",
  88024. "name": "Maximum",
  88025. "pid": 41,
  88026. "tid": 0,
  88027. "ts": 1539815916975805,
  88028. "dur": 52,
  88029. "args": {
  88030. "name": "loss/activation_1_loss/clip_by_value",
  88031. "op": "Maximum",
  88032. "input0": "loss/activation_1_loss/clip_by_value/Minimum",
  88033. "input1": "loss/activation_1_loss/Const"
  88034. }
  88035. },
  88036. {
  88037. "ph": "X",
  88038. "cat": "Op",
  88039. "name": "Shape",
  88040. "pid": 41,
  88041. "tid": 0,
  88042. "ts": 1539815916975861,
  88043. "dur": 12,
  88044. "args": {
  88045. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value_grad/Shape",
  88046. "op": "Shape",
  88047. "input0": "loss/activation_1_loss/clip_by_value/Minimum"
  88048. }
  88049. },
  88050. {
  88051. "ph": "X",
  88052. "cat": "Op",
  88053. "name": "BroadcastGradientArgs",
  88054. "pid": 41,
  88055. "tid": 0,
  88056. "ts": 1539815916975876,
  88057. "dur": 10,
  88058. "args": {
  88059. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value/Minimum_grad/BroadcastGradientArgs",
  88060. "op": "BroadcastGradientArgs",
  88061. "input0": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value/Minimum_grad/Shape",
  88062. "input1": "training/TFOptimizer/gradients/dropout/dropout/div_grad/Shape_1"
  88063. }
  88064. },
  88065. {
  88066. "ph": "X",
  88067. "cat": "Op",
  88068. "name": "Log",
  88069. "pid": 41,
  88070. "tid": 0,
  88071. "ts": 1539815916975889,
  88072. "dur": 27,
  88073. "args": {
  88074. "name": "loss/activation_1_loss/Log",
  88075. "op": "Log",
  88076. "input0": "loss/activation_1_loss/clip_by_value"
  88077. }
  88078. },
  88079. {
  88080. "ph": "X",
  88081. "cat": "Op",
  88082. "name": "BroadcastGradientArgs",
  88083. "pid": 41,
  88084. "tid": 0,
  88085. "ts": 1539815916975919,
  88086. "dur": 11,
  88087. "args": {
  88088. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value_grad/BroadcastGradientArgs",
  88089. "op": "BroadcastGradientArgs",
  88090. "input0": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value_grad/Shape",
  88091. "input1": "training/TFOptimizer/gradients/dropout/dropout/div_grad/Shape_1"
  88092. }
  88093. },
  88094. {
  88095. "ph": "X",
  88096. "cat": "Op",
  88097. "name": "SparseSoftmaxCrossEntropyWithLogits",
  88098. "pid": 41,
  88099. "tid": 0,
  88100. "ts": 1539815916975933,
  88101. "dur": 127,
  88102. "args": {
  88103. "name": "loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  88104. "op": "SparseSoftmaxCrossEntropyWithLogits",
  88105. "input0": "loss/activation_1_loss/Log",
  88106. "input1": "loss/activation_1_loss/Cast"
  88107. }
  88108. },
  88109. {
  88110. "ph": "X",
  88111. "cat": "Op",
  88112. "name": "Mean",
  88113. "pid": 41,
  88114. "tid": 0,
  88115. "ts": 1539815916976064,
  88116. "dur": 6140,
  88117. "args": {
  88118. "name": "loss/activation_1_loss/Mean",
  88119. "op": "Mean",
  88120. "input0": "loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  88121. "input1": "metrics/sparse_categorical_accuracy/Const"
  88122. }
  88123. },
  88124. {
  88125. "ph": "X",
  88126. "cat": "Op",
  88127. "name": "Shape",
  88128. "pid": 41,
  88129. "tid": 0,
  88130. "ts": 1539815916982228,
  88131. "dur": 11,
  88132. "args": {
  88133. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/Mean_grad/Shape",
  88134. "op": "Shape",
  88135. "input0": "loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits"
  88136. }
  88137. },
  88138. {
  88139. "ph": "X",
  88140. "cat": "Op",
  88141. "name": "Const",
  88142. "pid": 41,
  88143. "tid": 0,
  88144. "ts": 1539815916982242,
  88145. "dur": 7,
  88146. "args": {
  88147. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/Mean_grad/Reshape",
  88148. "op": "Const",
  88149. "input0": "^loss/activation_1_loss/Mean"
  88150. }
  88151. },
  88152. {
  88153. "ph": "X",
  88154. "cat": "Op",
  88155. "name": "Size",
  88156. "pid": 41,
  88157. "tid": 0,
  88158. "ts": 1539815916982342,
  88159. "dur": 19,
  88160. "args": {
  88161. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/Mean_grad/Prod",
  88162. "op": "Size",
  88163. "input0": "loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits",
  88164. "input1": "^training/TFOptimizer/gradients/loss/activation_1_loss/Mean_grad/Shape"
  88165. }
  88166. },
  88167. {
  88168. "ph": "X",
  88169. "cat": "Op",
  88170. "name": "Tile",
  88171. "pid": 41,
  88172. "tid": 0,
  88173. "ts": 1539815916982366,
  88174. "dur": 1387,
  88175. "args": {
  88176. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/Mean_grad/Tile",
  88177. "op": "Tile",
  88178. "input0": "training/TFOptimizer/gradients/loss/activation_1_loss/Mean_grad/Reshape",
  88179. "input1": "training/TFOptimizer/gradients/loss/activation_1_loss/Mean_grad/Shape"
  88180. }
  88181. },
  88182. {
  88183. "ph": "X",
  88184. "cat": "Op",
  88185. "name": "Cast",
  88186. "pid": 41,
  88187. "tid": 0,
  88188. "ts": 1539815916983908,
  88189. "dur": 40,
  88190. "args": {
  88191. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/Mean_grad/Cast",
  88192. "op": "Cast",
  88193. "input0": "training/TFOptimizer/gradients/loss/activation_1_loss/Mean_grad/Prod/_1403"
  88194. }
  88195. },
  88196. {
  88197. "ph": "X",
  88198. "cat": "Op",
  88199. "name": "RealDiv",
  88200. "pid": 41,
  88201. "tid": 0,
  88202. "ts": 1539815916983953,
  88203. "dur": 1560,
  88204. "args": {
  88205. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/Mean_grad/truediv",
  88206. "op": "RealDiv",
  88207. "input0": "training/TFOptimizer/gradients/loss/activation_1_loss/Mean_grad/Tile",
  88208. "input1": "training/TFOptimizer/gradients/loss/activation_1_loss/Mean_grad/Cast"
  88209. }
  88210. },
  88211. {
  88212. "ph": "X",
  88213. "cat": "Op",
  88214. "name": "ExpandDims",
  88215. "pid": 41,
  88216. "tid": 0,
  88217. "ts": 1539815916985517,
  88218. "dur": 16,
  88219. "args": {
  88220. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits_grad/ExpandDims",
  88221. "op": "ExpandDims",
  88222. "input0": "training/TFOptimizer/gradients/loss/activation_1_loss/Mean_grad/truediv",
  88223. "input1": "metrics/sparse_categorical_accuracy/Max/reduction_indices"
  88224. }
  88225. },
  88226. {
  88227. "ph": "X",
  88228. "cat": "Op",
  88229. "name": "Mul",
  88230. "pid": 41,
  88231. "tid": 0,
  88232. "ts": 1539815916985537,
  88233. "dur": 927,
  88234. "args": {
  88235. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits_grad/mul",
  88236. "op": "Mul",
  88237. "input0": "training/TFOptimizer/gradients/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits_grad/ExpandDims",
  88238. "input1": "loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits:1"
  88239. }
  88240. },
  88241. {
  88242. "ph": "X",
  88243. "cat": "Op",
  88244. "name": "Reciprocal",
  88245. "pid": 41,
  88246. "tid": 0,
  88247. "ts": 1539815916986469,
  88248. "dur": 47,
  88249. "args": {
  88250. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/Log_grad/Reciprocal",
  88251. "op": "Reciprocal",
  88252. "input0": "loss/activation_1_loss/clip_by_value",
  88253. "input1": "^training/TFOptimizer/gradients/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits_grad/mul"
  88254. }
  88255. },
  88256. {
  88257. "ph": "X",
  88258. "cat": "Op",
  88259. "name": "Mul",
  88260. "pid": 41,
  88261. "tid": 0,
  88262. "ts": 1539815916986520,
  88263. "dur": 27,
  88264. "args": {
  88265. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/Log_grad/mul",
  88266. "op": "Mul",
  88267. "input0": "training/TFOptimizer/gradients/loss/activation_1_loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits_grad/mul",
  88268. "input1": "training/TFOptimizer/gradients/loss/activation_1_loss/Log_grad/Reciprocal"
  88269. }
  88270. },
  88271. {
  88272. "ph": "X",
  88273. "cat": "Op",
  88274. "name": "Shape",
  88275. "pid": 41,
  88276. "tid": 0,
  88277. "ts": 1539815916986575,
  88278. "dur": 18,
  88279. "args": {
  88280. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value_grad/Shape_2",
  88281. "op": "Shape",
  88282. "input0": "training/TFOptimizer/gradients/loss/activation_1_loss/Log_grad/mul"
  88283. }
  88284. },
  88285. {
  88286. "ph": "X",
  88287. "cat": "Op",
  88288. "name": "Fill",
  88289. "pid": 41,
  88290. "tid": 0,
  88291. "ts": 1539815916986595,
  88292. "dur": 35,
  88293. "args": {
  88294. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value_grad/zeros",
  88295. "op": "Fill",
  88296. "input0": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value_grad/Shape_2",
  88297. "input1": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value/Minimum_grad/zeros/Const"
  88298. }
  88299. },
  88300. {
  88301. "ph": "X",
  88302. "cat": "Op",
  88303. "name": "Select",
  88304. "pid": 41,
  88305. "tid": 0,
  88306. "ts": 1539815916986634,
  88307. "dur": 51,
  88308. "args": {
  88309. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value_grad/Select",
  88310. "op": "Select",
  88311. "input0": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value_grad/GreaterEqual",
  88312. "input1": "training/TFOptimizer/gradients/loss/activation_1_loss/Log_grad/mul",
  88313. "input2": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value_grad/zeros"
  88314. }
  88315. },
  88316. {
  88317. "ph": "X",
  88318. "cat": "Op",
  88319. "name": "Sum",
  88320. "pid": 41,
  88321. "tid": 0,
  88322. "ts": 1539815916986689,
  88323. "dur": 4108,
  88324. "args": {
  88325. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value_grad/Sum",
  88326. "op": "Sum",
  88327. "input0": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value_grad/Select",
  88328. "input1": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value_grad/BroadcastGradientArgs"
  88329. }
  88330. },
  88331. {
  88332. "ph": "X",
  88333. "cat": "Op",
  88334. "name": "Reshape",
  88335. "pid": 41,
  88336. "tid": 0,
  88337. "ts": 1539815916990801,
  88338. "dur": 46,
  88339. "args": {
  88340. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value_grad/Reshape",
  88341. "op": "Reshape",
  88342. "input0": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value_grad/Sum",
  88343. "input1": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value_grad/Shape"
  88344. }
  88345. },
  88346. {
  88347. "ph": "X",
  88348. "cat": "Op",
  88349. "name": "Shape",
  88350. "pid": 41,
  88351. "tid": 0,
  88352. "ts": 1539815916990852,
  88353. "dur": 9,
  88354. "args": {
  88355. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value/Minimum_grad/Shape_2",
  88356. "op": "Shape",
  88357. "input0": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value_grad/Reshape"
  88358. }
  88359. },
  88360. {
  88361. "ph": "X",
  88362. "cat": "Op",
  88363. "name": "Fill",
  88364. "pid": 41,
  88365. "tid": 0,
  88366. "ts": 1539815916990864,
  88367. "dur": 47,
  88368. "args": {
  88369. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value/Minimum_grad/zeros",
  88370. "op": "Fill",
  88371. "input0": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value/Minimum_grad/Shape_2",
  88372. "input1": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value/Minimum_grad/zeros/Const"
  88373. }
  88374. },
  88375. {
  88376. "ph": "X",
  88377. "cat": "Op",
  88378. "name": "Select",
  88379. "pid": 41,
  88380. "tid": 0,
  88381. "ts": 1539815916990915,
  88382. "dur": 30,
  88383. "args": {
  88384. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value/Minimum_grad/Select",
  88385. "op": "Select",
  88386. "input0": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value/Minimum_grad/LessEqual",
  88387. "input1": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value_grad/Reshape",
  88388. "input2": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value/Minimum_grad/zeros"
  88389. }
  88390. },
  88391. {
  88392. "ph": "X",
  88393. "cat": "Op",
  88394. "name": "Sum",
  88395. "pid": 41,
  88396. "tid": 0,
  88397. "ts": 1539815916990949,
  88398. "dur": 7,
  88399. "args": {
  88400. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value/Minimum_grad/Sum",
  88401. "op": "Sum",
  88402. "input0": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value/Minimum_grad/Select",
  88403. "input1": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value/Minimum_grad/BroadcastGradientArgs"
  88404. }
  88405. },
  88406. {
  88407. "ph": "X",
  88408. "cat": "Op",
  88409. "name": "Reshape",
  88410. "pid": 41,
  88411. "tid": 0,
  88412. "ts": 1539815916991004,
  88413. "dur": 12,
  88414. "args": {
  88415. "name": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value/Minimum_grad/Reshape",
  88416. "op": "Reshape",
  88417. "input0": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value/Minimum_grad/Sum",
  88418. "input1": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value/Minimum_grad/Shape"
  88419. }
  88420. },
  88421. {
  88422. "ph": "X",
  88423. "cat": "Op",
  88424. "name": "Mul",
  88425. "pid": 41,
  88426. "tid": 0,
  88427. "ts": 1539815916991048,
  88428. "dur": 44,
  88429. "args": {
  88430. "name": "training/TFOptimizer/gradients/activation_1/Softmax_grad/mul",
  88431. "op": "Mul",
  88432. "input0": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value/Minimum_grad/Reshape",
  88433. "input1": "activation_1/Softmax",
  88434. "input2": "^training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value/Minimum_grad/zeros",
  88435. "input3": "^training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value/Minimum_grad/LessEqual"
  88436. }
  88437. },
  88438. {
  88439. "ph": "X",
  88440. "cat": "Op",
  88441. "name": "Sum",
  88442. "pid": 41,
  88443. "tid": 0,
  88444. "ts": 1539815916991102,
  88445. "dur": 35,
  88446. "args": {
  88447. "name": "training/TFOptimizer/gradients/activation_1/Softmax_grad/Sum",
  88448. "op": "Sum",
  88449. "input0": "training/TFOptimizer/gradients/activation_1/Softmax_grad/mul",
  88450. "input1": "metrics/sparse_categorical_accuracy/Max/reduction_indices"
  88451. }
  88452. },
  88453. {
  88454. "ph": "X",
  88455. "cat": "Op",
  88456. "name": "Sub",
  88457. "pid": 41,
  88458. "tid": 0,
  88459. "ts": 1539815916991140,
  88460. "dur": 70,
  88461. "args": {
  88462. "name": "training/TFOptimizer/gradients/activation_1/Softmax_grad/sub",
  88463. "op": "Sub",
  88464. "input0": "training/TFOptimizer/gradients/loss/activation_1_loss/clip_by_value/Minimum_grad/Reshape",
  88465. "input1": "training/TFOptimizer/gradients/activation_1/Softmax_grad/Sum"
  88466. }
  88467. },
  88468. {
  88469. "ph": "X",
  88470. "cat": "Op",
  88471. "name": "Mul",
  88472. "pid": 41,
  88473. "tid": 0,
  88474. "ts": 1539815916991214,
  88475. "dur": 70,
  88476. "args": {
  88477. "name": "training/TFOptimizer/gradients/activation_1/Softmax_grad/mul_1",
  88478. "op": "Mul",
  88479. "input0": "training/TFOptimizer/gradients/activation_1/Softmax_grad/sub",
  88480. "input1": "activation_1/Softmax"
  88481. }
  88482. },
  88483. {
  88484. "ph": "X",
  88485. "cat": "Op",
  88486. "name": "BiasAddGrad",
  88487. "pid": 41,
  88488. "tid": 0,
  88489. "ts": 1539815916991288,
  88490. "dur": 133,
  88491. "args": {
  88492. "name": "training/TFOptimizer/gradients/dense_1/BiasAdd_grad/BiasAddGrad",
  88493. "op": "BiasAddGrad",
  88494. "input0": "training/TFOptimizer/gradients/activation_1/Softmax_grad/mul_1"
  88495. }
  88496. },
  88497. {
  88498. "ph": "X",
  88499. "cat": "Op",
  88500. "name": "MatMul",
  88501. "pid": 41,
  88502. "tid": 0,
  88503. "ts": 1539815916991426,
  88504. "dur": 73,
  88505. "args": {
  88506. "name": "training/TFOptimizer/gradients/dense_1/MatMul_grad/MatMul",
  88507. "op": "MatMul",
  88508. "input0": "training/TFOptimizer/gradients/activation_1/Softmax_grad/mul_1",
  88509. "input1": "dense_1/MatMul/ReadVariableOp",
  88510. "input2": "^training/TFOptimizer/gradients/dense_1/BiasAdd_grad/BiasAddGrad"
  88511. }
  88512. },
  88513. {
  88514. "ph": "X",
  88515. "cat": "Op",
  88516. "name": "MatMul",
  88517. "pid": 41,
  88518. "tid": 0,
  88519. "ts": 1539815916991508,
  88520. "dur": 38,
  88521. "args": {
  88522. "name": "training/TFOptimizer/gradients/dense_1/MatMul_grad/MatMul_1",
  88523. "op": "MatMul",
  88524. "input0": "dropout_3/dropout/mul",
  88525. "input1": "training/TFOptimizer/gradients/activation_1/Softmax_grad/mul_1",
  88526. "input2": "^training/TFOptimizer/gradients/dense_1/BiasAdd_grad/BiasAddGrad"
  88527. }
  88528. },
  88529. {
  88530. "ph": "X",
  88531. "cat": "Op",
  88532. "name": "Reshape",
  88533. "pid": 41,
  88534. "tid": 0,
  88535. "ts": 1539815916991550,
  88536. "dur": 13,
  88537. "args": {
  88538. "name": "training/TFOptimizer/Reshape_14",
  88539. "op": "Reshape",
  88540. "input0": "training/TFOptimizer/gradients/dense_1/MatMul_grad/MatMul_1",
  88541. "input1": "training/TFOptimizer/Reshape/shape",
  88542. "input2": "^training/TFOptimizer/gradients/dense_1/MatMul_grad/MatMul"
  88543. }
  88544. },
  88545. {
  88546. "ph": "X",
  88547. "cat": "Op",
  88548. "name": "Mul",
  88549. "pid": 41,
  88550. "tid": 0,
  88551. "ts": 1539815916991568,
  88552. "dur": 27,
  88553. "args": {
  88554. "name": "training/TFOptimizer/gradients/dropout_3/dropout/mul_grad/Mul",
  88555. "op": "Mul",
  88556. "input0": "training/TFOptimizer/gradients/dense_1/MatMul_grad/MatMul",
  88557. "input1": "dropout_3/dropout/Floor",
  88558. "input2": "^training/TFOptimizer/gradients/dense_1/MatMul_grad/MatMul_1"
  88559. }
  88560. },
  88561. {
  88562. "ph": "X",
  88563. "cat": "Op",
  88564. "name": "Mul",
  88565. "pid": 41,
  88566. "tid": 0,
  88567. "ts": 1539815916991599,
  88568. "dur": 68,
  88569. "args": {
  88570. "name": "training/TFOptimizer/gradients/dropout_3/dropout/div_grad/RealDiv",
  88571. "op": "Mul",
  88572. "input0": "training/TFOptimizer/gradients/dropout_3/dropout/mul_grad/Mul",
  88573. "input1": "ConstantFolding/training/TFOptimizer/gradients/dropout_3/dropout/div_grad/RealDiv_recip"
  88574. }
  88575. },
  88576. {
  88577. "ph": "X",
  88578. "cat": "Op",
  88579. "name": "Sum",
  88580. "pid": 41,
  88581. "tid": 0,
  88582. "ts": 1539815916991676,
  88583. "dur": 9,
  88584. "args": {
  88585. "name": "training/TFOptimizer/gradients/dropout_3/dropout/div_grad/Sum",
  88586. "op": "Sum",
  88587. "input0": "training/TFOptimizer/gradients/dropout_3/dropout/div_grad/RealDiv",
  88588. "input1": "training/TFOptimizer/gradients/dropout_3/dropout/div_grad/BroadcastGradientArgs"
  88589. }
  88590. },
  88591. {
  88592. "ph": "X",
  88593. "cat": "Op",
  88594. "name": "Reshape",
  88595. "pid": 41,
  88596. "tid": 0,
  88597. "ts": 1539815916991687,
  88598. "dur": 7,
  88599. "args": {
  88600. "name": "training/TFOptimizer/gradients/dropout_3/dropout/div_grad/Reshape",
  88601. "op": "Reshape",
  88602. "input0": "training/TFOptimizer/gradients/dropout_3/dropout/div_grad/Sum",
  88603. "input1": "training/TFOptimizer/gradients/dropout_3/dropout/div_grad/Shape"
  88604. }
  88605. },
  88606. {
  88607. "ph": "X",
  88608. "cat": "Op",
  88609. "name": "EluGrad",
  88610. "pid": 41,
  88611. "tid": 0,
  88612. "ts": 1539815916991697,
  88613. "dur": 34,
  88614. "args": {
  88615. "name": "training/TFOptimizer/gradients/activation/Elu_grad/EluGrad",
  88616. "op": "EluGrad",
  88617. "input0": "training/TFOptimizer/gradients/dropout_3/dropout/div_grad/Reshape",
  88618. "input1": "activation/Elu"
  88619. }
  88620. },
  88621. {
  88622. "ph": "X",
  88623. "cat": "Op",
  88624. "name": "BiasAddGrad",
  88625. "pid": 41,
  88626. "tid": 0,
  88627. "ts": 1539815916991735,
  88628. "dur": 109,
  88629. "args": {
  88630. "name": "training/TFOptimizer/gradients/dense/BiasAdd_grad/BiasAddGrad",
  88631. "op": "BiasAddGrad",
  88632. "input0": "training/TFOptimizer/gradients/activation/Elu_grad/EluGrad"
  88633. }
  88634. },
  88635. {
  88636. "ph": "X",
  88637. "cat": "Op",
  88638. "name": "MatMul",
  88639. "pid": 41,
  88640. "tid": 0,
  88641. "ts": 1539815916991868,
  88642. "dur": 39,
  88643. "args": {
  88644. "name": "training/TFOptimizer/gradients/dense/MatMul_grad/MatMul",
  88645. "op": "MatMul",
  88646. "input0": "training/TFOptimizer/gradients/activation/Elu_grad/EluGrad",
  88647. "input1": "dense/MatMul/ReadVariableOp",
  88648. "input2": "^training/TFOptimizer/gradients/dense/BiasAdd_grad/BiasAddGrad"
  88649. }
  88650. },
  88651. {
  88652. "ph": "X",
  88653. "cat": "Op",
  88654. "name": "MatMul",
  88655. "pid": 41,
  88656. "tid": 0,
  88657. "ts": 1539815916991915,
  88658. "dur": 33,
  88659. "args": {
  88660. "name": "training/TFOptimizer/gradients/dense/MatMul_grad/MatMul_1",
  88661. "op": "MatMul",
  88662. "input0": "flatten/Reshape",
  88663. "input1": "training/TFOptimizer/gradients/activation/Elu_grad/EluGrad",
  88664. "input2": "^training/TFOptimizer/gradients/dense/BiasAdd_grad/BiasAddGrad"
  88665. }
  88666. },
  88667. {
  88668. "ph": "X",
  88669. "cat": "Op",
  88670. "name": "Reshape",
  88671. "pid": 41,
  88672. "tid": 0,
  88673. "ts": 1539815916991954,
  88674. "dur": 14,
  88675. "args": {
  88676. "name": "training/TFOptimizer/gradients/flatten/Reshape_grad/Reshape",
  88677. "op": "Reshape",
  88678. "input0": "training/TFOptimizer/gradients/dense/MatMul_grad/MatMul",
  88679. "input1": "training/TFOptimizer/gradients/flatten/Reshape_grad/Shape-1-1-VecPermuteNCHWToNHWC-LayoutOptimizer",
  88680. "input2": "^training/TFOptimizer/gradients/dense/MatMul_grad/MatMul_1"
  88681. }
  88682. },
  88683. {
  88684. "ph": "X",
  88685. "cat": "Op",
  88686. "name": "Reshape",
  88687. "pid": 41,
  88688. "tid": 0,
  88689. "ts": 1539815916991972,
  88690. "dur": 6,
  88691. "args": {
  88692. "name": "training/TFOptimizer/Reshape_12",
  88693. "op": "Reshape",
  88694. "input0": "training/TFOptimizer/gradients/dense/MatMul_grad/MatMul_1",
  88695. "input1": "training/TFOptimizer/Reshape/shape",
  88696. "input2": "^training/TFOptimizer/gradients/dense/MatMul_grad/MatMul"
  88697. }
  88698. },
  88699. {
  88700. "ph": "X",
  88701. "cat": "Op",
  88702. "name": "Mul",
  88703. "pid": 41,
  88704. "tid": 0,
  88705. "ts": 1539815916991980,
  88706. "dur": 33,
  88707. "args": {
  88708. "name": "training/TFOptimizer/gradients/dropout_2/dropout/mul_grad/Mul",
  88709. "op": "Mul",
  88710. "input0": "training/TFOptimizer/gradients/flatten/Reshape_grad/Reshape",
  88711. "input1": "dropout_2/dropout/Floor"
  88712. }
  88713. },
  88714. {
  88715. "ph": "X",
  88716. "cat": "Op",
  88717. "name": "Mul",
  88718. "pid": 41,
  88719. "tid": 0,
  88720. "ts": 1539815916992016,
  88721. "dur": 25,
  88722. "args": {
  88723. "name": "training/TFOptimizer/gradients/dropout_2/dropout/div_grad/RealDiv",
  88724. "op": "Mul",
  88725. "input0": "training/TFOptimizer/gradients/dropout_2/dropout/mul_grad/Mul",
  88726. "input1": "ConstantFolding/training/TFOptimizer/gradients/dropout/dropout/div_grad/RealDiv_recip"
  88727. }
  88728. },
  88729. {
  88730. "ph": "X",
  88731. "cat": "Op",
  88732. "name": "Sum",
  88733. "pid": 41,
  88734. "tid": 0,
  88735. "ts": 1539815916992045,
  88736. "dur": 7,
  88737. "args": {
  88738. "name": "training/TFOptimizer/gradients/dropout_2/dropout/div_grad/Sum",
  88739. "op": "Sum",
  88740. "input0": "training/TFOptimizer/gradients/dropout_2/dropout/div_grad/RealDiv",
  88741. "input1": "training/TFOptimizer/gradients/dropout_2/dropout/div_grad/BroadcastGradientArgs"
  88742. }
  88743. },
  88744. {
  88745. "ph": "X",
  88746. "cat": "Op",
  88747. "name": "Reshape",
  88748. "pid": 41,
  88749. "tid": 0,
  88750. "ts": 1539815916992107,
  88751. "dur": 11,
  88752. "args": {
  88753. "name": "training/TFOptimizer/gradients/dropout_2/dropout/div_grad/Reshape",
  88754. "op": "Reshape",
  88755. "input0": "training/TFOptimizer/gradients/dropout_2/dropout/div_grad/Sum",
  88756. "input1": "training/TFOptimizer/gradients/dropout_2/dropout/div_grad/Shape-0-1-VecPermuteNCHWToNHWC-LayoutOptimizer"
  88757. }
  88758. },
  88759. {
  88760. "ph": "X",
  88761. "cat": "Op",
  88762. "name": "Transpose",
  88763. "pid": 41,
  88764. "tid": 0,
  88765. "ts": 1539815916992120,
  88766. "dur": 36,
  88767. "args": {
  88768. "name": "training/TFOptimizer/gradients/max_pooling2d_2/MaxPool_grad/MaxPoolGrad-2-TransposeNHWCToNCHW-LayoutOptimizer",
  88769. "op": "Transpose",
  88770. "input0": "training/TFOptimizer/gradients/dropout_2/dropout/div_grad/Reshape",
  88771. "input1": "PermConstNHWCToNCHW-LayoutOptimizer"
  88772. }
  88773. },
  88774. {
  88775. "ph": "X",
  88776. "cat": "Op",
  88777. "name": "MaxPoolGrad",
  88778. "pid": 41,
  88779. "tid": 0,
  88780. "ts": 1539815916992168,
  88781. "dur": 1461,
  88782. "args": {
  88783. "name": "training/TFOptimizer/gradients/max_pooling2d_2/MaxPool_grad/MaxPoolGrad",
  88784. "op": "MaxPoolGrad",
  88785. "input0": "conv2d_2/Elu",
  88786. "input1": "max_pooling2d_2/MaxPool",
  88787. "input2": "training/TFOptimizer/gradients/max_pooling2d_2/MaxPool_grad/MaxPoolGrad-2-TransposeNHWCToNCHW-LayoutOptimizer"
  88788. }
  88789. },
  88790. {
  88791. "ph": "X",
  88792. "cat": "Op",
  88793. "name": "EluGrad",
  88794. "pid": 41,
  88795. "tid": 0,
  88796. "ts": 1539815916993638,
  88797. "dur": 30,
  88798. "args": {
  88799. "name": "training/TFOptimizer/gradients/conv2d_2/Elu_grad/EluGrad",
  88800. "op": "EluGrad",
  88801. "input0": "training/TFOptimizer/gradients/max_pooling2d_2/MaxPool_grad/MaxPoolGrad",
  88802. "input1": "conv2d_2/Elu"
  88803. }
  88804. },
  88805. {
  88806. "ph": "X",
  88807. "cat": "Op",
  88808. "name": "BiasAddGrad",
  88809. "pid": 41,
  88810. "tid": 0,
  88811. "ts": 1539815916993678,
  88812. "dur": 337,
  88813. "args": {
  88814. "name": "training/TFOptimizer/gradients/conv2d_2/BiasAdd_grad/BiasAddGrad",
  88815. "op": "BiasAddGrad",
  88816. "input0": "training/TFOptimizer/gradients/conv2d_2/Elu_grad/EluGrad"
  88817. }
  88818. },
  88819. {
  88820. "ph": "X",
  88821. "cat": "Op",
  88822. "name": "Conv2DBackpropFilter",
  88823. "pid": 41,
  88824. "tid": 0,
  88825. "ts": 1539815916994024,
  88826. "dur": 20530,
  88827. "args": {
  88828. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  88829. "op": "Conv2DBackpropFilter",
  88830. "input0": "batch_normalization_2/FusedBatchNorm",
  88831. "input1": "ConstantFolding/training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/ShapeN-matshapes-1",
  88832. "input2": "training/TFOptimizer/gradients/conv2d_2/Elu_grad/EluGrad",
  88833. "input3": "^training/TFOptimizer/gradients/conv2d_2/BiasAdd_grad/BiasAddGrad"
  88834. }
  88835. },
  88836. {
  88837. "ph": "X",
  88838. "cat": "Op",
  88839. "name": "Conv2DBackpropInput",
  88840. "pid": 41,
  88841. "tid": 0,
  88842. "ts": 1539815917014573,
  88843. "dur": 22073,
  88844. "args": {
  88845. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  88846. "op": "Conv2DBackpropInput",
  88847. "input0": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/ShapeN",
  88848. "input1": "conv2d_2/Conv2D/ReadVariableOp",
  88849. "input2": "training/TFOptimizer/gradients/conv2d_2/Elu_grad/EluGrad",
  88850. "input3": "^training/TFOptimizer/gradients/conv2d_2/BiasAdd_grad/BiasAddGrad"
  88851. }
  88852. },
  88853. {
  88854. "ph": "X",
  88855. "cat": "Op",
  88856. "name": "FusedBatchNormGrad",
  88857. "pid": 41,
  88858. "tid": 0,
  88859. "ts": 1539815917036657,
  88860. "dur": 93,
  88861. "args": {
  88862. "name": "training/TFOptimizer/gradients/batch_normalization_2/FusedBatchNorm_grad/FusedBatchNormGrad",
  88863. "op": "FusedBatchNormGrad",
  88864. "input0": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  88865. "input1": "dropout_1/dropout/mul",
  88866. "input2": "batch_normalization_2/ReadVariableOp",
  88867. "input3": "batch_normalization_2/FusedBatchNorm:3",
  88868. "input4": "batch_normalization_2/FusedBatchNorm:4",
  88869. "input5": "^training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter"
  88870. }
  88871. },
  88872. {
  88873. "ph": "X",
  88874. "cat": "Op",
  88875. "name": "Reshape",
  88876. "pid": 41,
  88877. "tid": 0,
  88878. "ts": 1539815917036759,
  88879. "dur": 8,
  88880. "args": {
  88881. "name": "training/TFOptimizer/Reshape_10",
  88882. "op": "Reshape",
  88883. "input0": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  88884. "input1": "training/TFOptimizer/Reshape/shape",
  88885. "input2": "^training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput"
  88886. }
  88887. },
  88888. {
  88889. "ph": "X",
  88890. "cat": "Op",
  88891. "name": "Mul",
  88892. "pid": 41,
  88893. "tid": 0,
  88894. "ts": 1539815917036780,
  88895. "dur": 30,
  88896. "args": {
  88897. "name": "training/TFOptimizer/gradients/dropout_1/dropout/mul_grad/Mul",
  88898. "op": "Mul",
  88899. "input0": "training/TFOptimizer/gradients/batch_normalization_2/FusedBatchNorm_grad/FusedBatchNormGrad",
  88900. "input1": "training/TFOptimizer/gradients/dropout_1/dropout/mul_grad/Mul-1-TransposeNHWCToNCHW-LayoutOptimizer"
  88901. }
  88902. },
  88903. {
  88904. "ph": "X",
  88905. "cat": "Op",
  88906. "name": "Mul",
  88907. "pid": 41,
  88908. "tid": 0,
  88909. "ts": 1539815917036814,
  88910. "dur": 23,
  88911. "args": {
  88912. "name": "training/TFOptimizer/gradients/dropout_1/dropout/div_grad/RealDiv",
  88913. "op": "Mul",
  88914. "input0": "training/TFOptimizer/gradients/dropout_1/dropout/mul_grad/Mul",
  88915. "input1": "ConstantFolding/training/TFOptimizer/gradients/dropout/dropout/div_grad/RealDiv_recip"
  88916. }
  88917. },
  88918. {
  88919. "ph": "X",
  88920. "cat": "Op",
  88921. "name": "Transpose",
  88922. "pid": 41,
  88923. "tid": 0,
  88924. "ts": 1539815917036846,
  88925. "dur": 30,
  88926. "args": {
  88927. "name": "training/TFOptimizer/gradients/dropout_1/dropout/div_grad/RealDiv-0-0-TransposeNCHWToNHWC-LayoutOptimizer",
  88928. "op": "Transpose",
  88929. "input0": "training/TFOptimizer/gradients/dropout_1/dropout/div_grad/RealDiv",
  88930. "input1": "PermConstNCHWToNHWC-LayoutOptimizer"
  88931. }
  88932. },
  88933. {
  88934. "ph": "X",
  88935. "cat": "Op",
  88936. "name": "Sum",
  88937. "pid": 41,
  88938. "tid": 0,
  88939. "ts": 1539815917036883,
  88940. "dur": 7,
  88941. "args": {
  88942. "name": "training/TFOptimizer/gradients/dropout_1/dropout/div_grad/Sum",
  88943. "op": "Sum",
  88944. "input0": "training/TFOptimizer/gradients/dropout_1/dropout/div_grad/RealDiv-0-0-TransposeNCHWToNHWC-LayoutOptimizer",
  88945. "input1": "training/TFOptimizer/gradients/dropout_1/dropout/div_grad/BroadcastGradientArgs"
  88946. }
  88947. },
  88948. {
  88949. "ph": "X",
  88950. "cat": "Op",
  88951. "name": "Reshape",
  88952. "pid": 41,
  88953. "tid": 0,
  88954. "ts": 1539815917036893,
  88955. "dur": 15,
  88956. "args": {
  88957. "name": "training/TFOptimizer/gradients/dropout_1/dropout/div_grad/Reshape",
  88958. "op": "Reshape",
  88959. "input0": "training/TFOptimizer/gradients/dropout_1/dropout/div_grad/Sum",
  88960. "input1": "training/TFOptimizer/gradients/dropout_1/dropout/div_grad/Shape-0-1-VecPermuteNCHWToNHWC-LayoutOptimizer"
  88961. }
  88962. },
  88963. {
  88964. "ph": "X",
  88965. "cat": "Op",
  88966. "name": "Transpose",
  88967. "pid": 41,
  88968. "tid": 0,
  88969. "ts": 1539815917036911,
  88970. "dur": 28,
  88971. "args": {
  88972. "name": "training/TFOptimizer/gradients/max_pooling2d_1/MaxPool_grad/MaxPoolGrad-2-TransposeNHWCToNCHW-LayoutOptimizer",
  88973. "op": "Transpose",
  88974. "input0": "training/TFOptimizer/gradients/dropout_1/dropout/div_grad/Reshape",
  88975. "input1": "PermConstNHWCToNCHW-LayoutOptimizer"
  88976. }
  88977. },
  88978. {
  88979. "ph": "X",
  88980. "cat": "Op",
  88981. "name": "MaxPoolGrad",
  88982. "pid": 41,
  88983. "tid": 0,
  88984. "ts": 1539815917036945,
  88985. "dur": 69,
  88986. "args": {
  88987. "name": "training/TFOptimizer/gradients/max_pooling2d_1/MaxPool_grad/MaxPoolGrad",
  88988. "op": "MaxPoolGrad",
  88989. "input0": "conv2d_1/Elu",
  88990. "input1": "max_pooling2d_1/MaxPool",
  88991. "input2": "training/TFOptimizer/gradients/max_pooling2d_1/MaxPool_grad/MaxPoolGrad-2-TransposeNHWCToNCHW-LayoutOptimizer"
  88992. }
  88993. },
  88994. {
  88995. "ph": "X",
  88996. "cat": "Op",
  88997. "name": "EluGrad",
  88998. "pid": 41,
  88999. "tid": 0,
  89000. "ts": 1539815917037022,
  89001. "dur": 29,
  89002. "args": {
  89003. "name": "training/TFOptimizer/gradients/conv2d_1/Elu_grad/EluGrad",
  89004. "op": "EluGrad",
  89005. "input0": "training/TFOptimizer/gradients/max_pooling2d_1/MaxPool_grad/MaxPoolGrad",
  89006. "input1": "conv2d_1/Elu"
  89007. }
  89008. },
  89009. {
  89010. "ph": "X",
  89011. "cat": "Op",
  89012. "name": "BiasAddGrad",
  89013. "pid": 41,
  89014. "tid": 0,
  89015. "ts": 1539815917037055,
  89016. "dur": 1234,
  89017. "args": {
  89018. "name": "training/TFOptimizer/gradients/conv2d_1/BiasAdd_grad/BiasAddGrad",
  89019. "op": "BiasAddGrad",
  89020. "input0": "training/TFOptimizer/gradients/conv2d_1/Elu_grad/EluGrad"
  89021. }
  89022. },
  89023. {
  89024. "ph": "X",
  89025. "cat": "Op",
  89026. "name": "Conv2DBackpropFilter",
  89027. "pid": 41,
  89028. "tid": 0,
  89029. "ts": 1539815917038297,
  89030. "dur": 17164,
  89031. "args": {
  89032. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  89033. "op": "Conv2DBackpropFilter",
  89034. "input0": "batch_normalization_1/FusedBatchNorm",
  89035. "input1": "ConstantFolding/training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/ShapeN-matshapes-1",
  89036. "input2": "training/TFOptimizer/gradients/conv2d_1/Elu_grad/EluGrad",
  89037. "input3": "^training/TFOptimizer/gradients/conv2d_1/BiasAdd_grad/BiasAddGrad"
  89038. }
  89039. },
  89040. {
  89041. "ph": "X",
  89042. "cat": "Op",
  89043. "name": "Conv2DBackpropInput",
  89044. "pid": 41,
  89045. "tid": 0,
  89046. "ts": 1539815917055472,
  89047. "dur": 16524,
  89048. "args": {
  89049. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  89050. "op": "Conv2DBackpropInput",
  89051. "input0": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/ShapeN",
  89052. "input1": "conv2d_1/Conv2D/ReadVariableOp",
  89053. "input2": "training/TFOptimizer/gradients/conv2d_1/Elu_grad/EluGrad",
  89054. "input3": "^training/TFOptimizer/gradients/conv2d_1/BiasAdd_grad/BiasAddGrad"
  89055. }
  89056. },
  89057. {
  89058. "ph": "X",
  89059. "cat": "Op",
  89060. "name": "FusedBatchNormGrad",
  89061. "pid": 41,
  89062. "tid": 0,
  89063. "ts": 1539815917072008,
  89064. "dur": 83,
  89065. "args": {
  89066. "name": "training/TFOptimizer/gradients/batch_normalization_1/FusedBatchNorm_grad/FusedBatchNormGrad",
  89067. "op": "FusedBatchNormGrad",
  89068. "input0": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  89069. "input1": "dropout/dropout/mul",
  89070. "input2": "batch_normalization_1/ReadVariableOp",
  89071. "input3": "batch_normalization_1/FusedBatchNorm:3",
  89072. "input4": "batch_normalization_1/FusedBatchNorm:4",
  89073. "input5": "^training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter"
  89074. }
  89075. },
  89076. {
  89077. "ph": "X",
  89078. "cat": "Op",
  89079. "name": "Reshape",
  89080. "pid": 41,
  89081. "tid": 0,
  89082. "ts": 1539815917072100,
  89083. "dur": 10,
  89084. "args": {
  89085. "name": "training/TFOptimizer/Reshape_6",
  89086. "op": "Reshape",
  89087. "input0": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  89088. "input1": "training/TFOptimizer/Reshape/shape",
  89089. "input2": "^training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput"
  89090. }
  89091. },
  89092. {
  89093. "ph": "X",
  89094. "cat": "Op",
  89095. "name": "Mul",
  89096. "pid": 41,
  89097. "tid": 0,
  89098. "ts": 1539815917072113,
  89099. "dur": 34,
  89100. "args": {
  89101. "name": "training/TFOptimizer/gradients/dropout/dropout/mul_grad/Mul",
  89102. "op": "Mul",
  89103. "input0": "training/TFOptimizer/gradients/batch_normalization_1/FusedBatchNorm_grad/FusedBatchNormGrad",
  89104. "input1": "training/TFOptimizer/gradients/dropout/dropout/mul_grad/Mul-1-TransposeNHWCToNCHW-LayoutOptimizer"
  89105. }
  89106. },
  89107. {
  89108. "ph": "X",
  89109. "cat": "Op",
  89110. "name": "Mul",
  89111. "pid": 41,
  89112. "tid": 0,
  89113. "ts": 1539815917072151,
  89114. "dur": 22,
  89115. "args": {
  89116. "name": "training/TFOptimizer/gradients/dropout/dropout/div_grad/RealDiv",
  89117. "op": "Mul",
  89118. "input0": "training/TFOptimizer/gradients/dropout/dropout/mul_grad/Mul",
  89119. "input1": "ConstantFolding/training/TFOptimizer/gradients/dropout/dropout/div_grad/RealDiv_recip"
  89120. }
  89121. },
  89122. {
  89123. "ph": "X",
  89124. "cat": "Op",
  89125. "name": "Transpose",
  89126. "pid": 41,
  89127. "tid": 0,
  89128. "ts": 1539815917072177,
  89129. "dur": 35,
  89130. "args": {
  89131. "name": "training/TFOptimizer/gradients/dropout/dropout/div_grad/RealDiv-0-0-TransposeNCHWToNHWC-LayoutOptimizer",
  89132. "op": "Transpose",
  89133. "input0": "training/TFOptimizer/gradients/dropout/dropout/div_grad/RealDiv",
  89134. "input1": "PermConstNCHWToNHWC-LayoutOptimizer"
  89135. }
  89136. },
  89137. {
  89138. "ph": "X",
  89139. "cat": "Op",
  89140. "name": "Sum",
  89141. "pid": 41,
  89142. "tid": 0,
  89143. "ts": 1539815917072219,
  89144. "dur": 8,
  89145. "args": {
  89146. "name": "training/TFOptimizer/gradients/dropout/dropout/div_grad/Sum",
  89147. "op": "Sum",
  89148. "input0": "training/TFOptimizer/gradients/dropout/dropout/div_grad/RealDiv-0-0-TransposeNCHWToNHWC-LayoutOptimizer",
  89149. "input1": "training/TFOptimizer/gradients/dropout/dropout/div_grad/BroadcastGradientArgs"
  89150. }
  89151. },
  89152. {
  89153. "ph": "X",
  89154. "cat": "Op",
  89155. "name": "Reshape",
  89156. "pid": 41,
  89157. "tid": 0,
  89158. "ts": 1539815917072230,
  89159. "dur": 12,
  89160. "args": {
  89161. "name": "training/TFOptimizer/gradients/dropout/dropout/div_grad/Reshape",
  89162. "op": "Reshape",
  89163. "input0": "training/TFOptimizer/gradients/dropout/dropout/div_grad/Sum",
  89164. "input1": "training/TFOptimizer/gradients/dropout/dropout/div_grad/Shape-2-1-VecPermuteNCHWToNHWC-LayoutOptimizer"
  89165. }
  89166. },
  89167. {
  89168. "ph": "X",
  89169. "cat": "Op",
  89170. "name": "Transpose",
  89171. "pid": 41,
  89172. "tid": 0,
  89173. "ts": 1539815917072245,
  89174. "dur": 28,
  89175. "args": {
  89176. "name": "training/TFOptimizer/gradients/max_pooling2d/MaxPool_grad/MaxPoolGrad-2-TransposeNHWCToNCHW-LayoutOptimizer",
  89177. "op": "Transpose",
  89178. "input0": "training/TFOptimizer/gradients/dropout/dropout/div_grad/Reshape",
  89179. "input1": "PermConstNHWCToNCHW-LayoutOptimizer"
  89180. }
  89181. },
  89182. {
  89183. "ph": "X",
  89184. "cat": "Op",
  89185. "name": "MaxPoolGrad",
  89186. "pid": 41,
  89187. "tid": 0,
  89188. "ts": 1539815917072279,
  89189. "dur": 49,
  89190. "args": {
  89191. "name": "training/TFOptimizer/gradients/max_pooling2d/MaxPool_grad/MaxPoolGrad",
  89192. "op": "MaxPoolGrad",
  89193. "input0": "conv2d/Elu",
  89194. "input1": "max_pooling2d/MaxPool",
  89195. "input2": "training/TFOptimizer/gradients/max_pooling2d/MaxPool_grad/MaxPoolGrad-2-TransposeNHWCToNCHW-LayoutOptimizer"
  89196. }
  89197. },
  89198. {
  89199. "ph": "X",
  89200. "cat": "Op",
  89201. "name": "EluGrad",
  89202. "pid": 41,
  89203. "tid": 0,
  89204. "ts": 1539815917072336,
  89205. "dur": 27,
  89206. "args": {
  89207. "name": "training/TFOptimizer/gradients/conv2d/Elu_grad/EluGrad",
  89208. "op": "EluGrad",
  89209. "input0": "training/TFOptimizer/gradients/max_pooling2d/MaxPool_grad/MaxPoolGrad",
  89210. "input1": "conv2d/Elu"
  89211. }
  89212. },
  89213. {
  89214. "ph": "X",
  89215. "cat": "Op",
  89216. "name": "BiasAddGrad",
  89217. "pid": 41,
  89218. "tid": 0,
  89219. "ts": 1539815917072366,
  89220. "dur": 1208,
  89221. "args": {
  89222. "name": "training/TFOptimizer/gradients/conv2d/BiasAdd_grad/BiasAddGrad",
  89223. "op": "BiasAddGrad",
  89224. "input0": "training/TFOptimizer/gradients/conv2d/Elu_grad/EluGrad"
  89225. }
  89226. },
  89227. {
  89228. "ph": "X",
  89229. "cat": "Op",
  89230. "name": "Conv2DBackpropFilter",
  89231. "pid": 41,
  89232. "tid": 0,
  89233. "ts": 1539815917073582,
  89234. "dur": 10087,
  89235. "args": {
  89236. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  89237. "op": "Conv2DBackpropFilter",
  89238. "input0": "batch_normalization/FusedBatchNorm",
  89239. "input1": "ConstantFolding/training/TFOptimizer/gradients/conv2d/Conv2D_grad/ShapeN-matshapes-1",
  89240. "input2": "training/TFOptimizer/gradients/conv2d/Elu_grad/EluGrad",
  89241. "input3": "^training/TFOptimizer/gradients/conv2d/BiasAdd_grad/BiasAddGrad"
  89242. }
  89243. },
  89244. {
  89245. "ph": "s",
  89246. "cat": "DataFlow",
  89247. "name": "batch_normalization/FusedBatchNorm",
  89248. "pid": 41,
  89249. "tid": 2,
  89250. "ts": 1539815916895334,
  89251. "id": 299
  89252. },
  89253. {
  89254. "ph": "t",
  89255. "cat": "DataFlow",
  89256. "name": "batch_normalization/FusedBatchNorm",
  89257. "pid": 41,
  89258. "tid": 0,
  89259. "ts": 1539815917073582,
  89260. "id": 299
  89261. },
  89262. {
  89263. "ph": "X",
  89264. "cat": "Op",
  89265. "name": "Conv2DBackpropInput",
  89266. "pid": 41,
  89267. "tid": 0,
  89268. "ts": 1539815917083680,
  89269. "dur": 12117,
  89270. "args": {
  89271. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  89272. "op": "Conv2DBackpropInput",
  89273. "input0": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/ShapeN",
  89274. "input1": "conv2d/Conv2D/ReadVariableOp",
  89275. "input2": "training/TFOptimizer/gradients/conv2d/Elu_grad/EluGrad",
  89276. "input3": "^training/TFOptimizer/gradients/conv2d/BiasAdd_grad/BiasAddGrad"
  89277. }
  89278. },
  89279. {
  89280. "ph": "X",
  89281. "cat": "Op",
  89282. "name": "FusedBatchNormGrad",
  89283. "pid": 41,
  89284. "tid": 0,
  89285. "ts": 1539815917095808,
  89286. "dur": 83,
  89287. "args": {
  89288. "name": "training/TFOptimizer/gradients/batch_normalization/FusedBatchNorm_grad/FusedBatchNormGrad",
  89289. "op": "FusedBatchNormGrad",
  89290. "input0": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  89291. "input1": "training/TFOptimizer/gradients/batch_normalization/FusedBatchNorm_grad/FusedBatchNormGrad-1-TransposeNHWCToNCHW-LayoutOptimizer",
  89292. "input2": "batch_normalization/ReadVariableOp",
  89293. "input3": "batch_normalization/FusedBatchNorm:3",
  89294. "input4": "batch_normalization/FusedBatchNorm:4",
  89295. "input5": "^training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter"
  89296. }
  89297. },
  89298. {
  89299. "ph": "s",
  89300. "cat": "DataFlow",
  89301. "name": "batch_normalization/FusedBatchNorm:3",
  89302. "pid": 41,
  89303. "tid": 2,
  89304. "ts": 1539815916895334,
  89305. "id": 300
  89306. },
  89307. {
  89308. "ph": "t",
  89309. "cat": "DataFlow",
  89310. "name": "batch_normalization/FusedBatchNorm:3",
  89311. "pid": 41,
  89312. "tid": 0,
  89313. "ts": 1539815917095808,
  89314. "id": 300
  89315. },
  89316. {
  89317. "ph": "s",
  89318. "cat": "DataFlow",
  89319. "name": "batch_normalization/FusedBatchNorm:4",
  89320. "pid": 41,
  89321. "tid": 2,
  89322. "ts": 1539815916895334,
  89323. "id": 301
  89324. },
  89325. {
  89326. "ph": "t",
  89327. "cat": "DataFlow",
  89328. "name": "batch_normalization/FusedBatchNorm:4",
  89329. "pid": 41,
  89330. "tid": 0,
  89331. "ts": 1539815917095808,
  89332. "id": 301
  89333. },
  89334. {
  89335. "ph": "X",
  89336. "cat": "Op",
  89337. "name": "Reshape",
  89338. "pid": 41,
  89339. "tid": 0,
  89340. "ts": 1539815917095906,
  89341. "dur": 10,
  89342. "args": {
  89343. "name": "training/TFOptimizer/Reshape_2",
  89344. "op": "Reshape",
  89345. "input0": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  89346. "input1": "training/TFOptimizer/Reshape/shape",
  89347. "input2": "^training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput"
  89348. }
  89349. },
  89350. {
  89351. "ph": "X",
  89352. "cat": "Op",
  89353. "name": "ConcatV2",
  89354. "pid": 41,
  89355. "tid": 0,
  89356. "ts": 1539815917095919,
  89357. "dur": 123,
  89358. "args": {
  89359. "name": "training/TFOptimizer/concat",
  89360. "op": "ConcatV2",
  89361. "input0": "training/TFOptimizer/gradients/batch_normalization/FusedBatchNorm_grad/FusedBatchNormGrad:1",
  89362. "input1": "training/TFOptimizer/gradients/batch_normalization/FusedBatchNorm_grad/FusedBatchNormGrad:2",
  89363. "input2": "training/TFOptimizer/Reshape_2",
  89364. "input3": "training/TFOptimizer/gradients/conv2d/BiasAdd_grad/BiasAddGrad",
  89365. "input4": "training/TFOptimizer/gradients/batch_normalization_1/FusedBatchNorm_grad/FusedBatchNormGrad:1",
  89366. "input5": "training/TFOptimizer/gradients/batch_normalization_1/FusedBatchNorm_grad/FusedBatchNormGrad:2",
  89367. "input6": "training/TFOptimizer/Reshape_6",
  89368. "input7": "training/TFOptimizer/gradients/conv2d_1/BiasAdd_grad/BiasAddGrad",
  89369. "input8": "training/TFOptimizer/gradients/batch_normalization_2/FusedBatchNorm_grad/FusedBatchNormGrad:1",
  89370. "input9": "training/TFOptimizer/gradients/batch_normalization_2/FusedBatchNorm_grad/FusedBatchNormGrad:2",
  89371. "input10": "training/TFOptimizer/Reshape_10",
  89372. "input11": "training/TFOptimizer/gradients/conv2d_2/BiasAdd_grad/BiasAddGrad",
  89373. "input12": "training/TFOptimizer/Reshape_12",
  89374. "input13": "training/TFOptimizer/gradients/dense/BiasAdd_grad/BiasAddGrad",
  89375. "input14": "training/TFOptimizer/Reshape_14",
  89376. "input15": "training/TFOptimizer/gradients/dense_1/BiasAdd_grad/BiasAddGrad",
  89377. "input16": "training/TFOptimizer/concat/axis"
  89378. }
  89379. },
  89380. {
  89381. "ph": "X",
  89382. "cat": "Op",
  89383. "name": "NcclAllReduce",
  89384. "pid": 41,
  89385. "tid": 0,
  89386. "ts": 1539815917096054,
  89387. "dur": 466116,
  89388. "args": {
  89389. "name": "training/TFOptimizer/NcclAllReduce",
  89390. "op": "NcclAllReduce",
  89391. "input0": "training/TFOptimizer/concat"
  89392. }
  89393. },
  89394. {
  89395. "ph": "X",
  89396. "cat": "Op",
  89397. "name": "SplitV",
  89398. "pid": 41,
  89399. "tid": 0,
  89400. "ts": 1539815917562238,
  89401. "dur": 1953,
  89402. "args": {
  89403. "name": "training/TFOptimizer/split_4",
  89404. "op": "SplitV",
  89405. "input0": "training/TFOptimizer/NcclAllReduce",
  89406. "input1": "training/TFOptimizer/packed",
  89407. "input2": "training/TFOptimizer/split_4/split_dim"
  89408. }
  89409. },
  89410. {
  89411. "ph": "X",
  89412. "cat": "Op",
  89413. "name": "Reshape",
  89414. "pid": 41,
  89415. "tid": 0,
  89416. "ts": 1539815917564202,
  89417. "dur": 116,
  89418. "args": {
  89419. "name": "training/TFOptimizer/Reshape_74",
  89420. "op": "Reshape",
  89421. "input0": "training/TFOptimizer/split_4:10",
  89422. "input1": "training/TFOptimizer/Shape_10"
  89423. }
  89424. },
  89425. {
  89426. "ph": "X",
  89427. "cat": "Op",
  89428. "name": "Reshape",
  89429. "pid": 41,
  89430. "tid": 0,
  89431. "ts": 1539815917564325,
  89432. "dur": 7,
  89433. "args": {
  89434. "name": "training/TFOptimizer/Reshape_76",
  89435. "op": "Reshape",
  89436. "input0": "training/TFOptimizer/split_4:12",
  89437. "input1": "training/TFOptimizer/Shape_12"
  89438. }
  89439. },
  89440. {
  89441. "ph": "X",
  89442. "cat": "Op",
  89443. "name": "Reshape",
  89444. "pid": 41,
  89445. "tid": 0,
  89446. "ts": 1539815917564335,
  89447. "dur": 5,
  89448. "args": {
  89449. "name": "training/TFOptimizer/Reshape_78",
  89450. "op": "Reshape",
  89451. "input0": "training/TFOptimizer/split_4:14",
  89452. "input1": "training/TFOptimizer/Shape_14"
  89453. }
  89454. },
  89455. {
  89456. "ph": "X",
  89457. "cat": "Op",
  89458. "name": "Reshape",
  89459. "pid": 41,
  89460. "tid": 0,
  89461. "ts": 1539815917564342,
  89462. "dur": 9,
  89463. "args": {
  89464. "name": "training/TFOptimizer/Reshape_66",
  89465. "op": "Reshape",
  89466. "input0": "training/TFOptimizer/split_4:2",
  89467. "input1": "training/TFOptimizer/Shape_2"
  89468. }
  89469. },
  89470. {
  89471. "ph": "X",
  89472. "cat": "Op",
  89473. "name": "Reshape",
  89474. "pid": 41,
  89475. "tid": 0,
  89476. "ts": 1539815917564354,
  89477. "dur": 4,
  89478. "args": {
  89479. "name": "training/TFOptimizer/Reshape_70",
  89480. "op": "Reshape",
  89481. "input0": "training/TFOptimizer/split_4:6",
  89482. "input1": "training/TFOptimizer/Shape_6"
  89483. }
  89484. },
  89485. {
  89486. "ph": "X",
  89487. "cat": "Op",
  89488. "name": "ResourceApplyAdam",
  89489. "pid": 41,
  89490. "tid": 0,
  89491. "ts": 1539815917564361,
  89492. "dur": 4001,
  89493. "args": {
  89494. "name": "training/TFOptimizer/Adam/update_0/update_batch_normalization/gamma/ResourceApplyAdam",
  89495. "op": "ResourceApplyAdam",
  89496. "input0": "batch_normalization/gamma",
  89497. "input1": "batch_normalization/gamma/Adam",
  89498. "input2": "batch_normalization/gamma/Adam_1",
  89499. "input3": "training/TFOptimizer/Adam/update_0/update_batch_normalization/gamma/ResourceApplyAdam/ReadVariableOp",
  89500. "input4": "training/TFOptimizer/Adam/update_0/update_batch_normalization/gamma/ResourceApplyAdam/ReadVariableOp_1",
  89501. "input5": "training/TFOptimizer/Adam/learning_rate",
  89502. "input6": "training/TFOptimizer/Adam/beta1",
  89503. "input7": "training/TFOptimizer/Adam/beta2",
  89504. "input8": "training/TFOptimizer/Adam/epsilon",
  89505. "input9": "training/TFOptimizer/split_4"
  89506. }
  89507. },
  89508. {
  89509. "ph": "X",
  89510. "cat": "Op",
  89511. "name": "ResourceApplyAdam",
  89512. "pid": 41,
  89513. "tid": 0,
  89514. "ts": 1539815917568374,
  89515. "dur": 165,
  89516. "args": {
  89517. "name": "training/TFOptimizer/Adam/update_0_1/update_batch_normalization/beta/ResourceApplyAdam",
  89518. "op": "ResourceApplyAdam",
  89519. "input0": "batch_normalization/beta",
  89520. "input1": "batch_normalization/beta/Adam",
  89521. "input2": "batch_normalization/beta/Adam_1",
  89522. "input3": "training/TFOptimizer/Adam/update_0_1/update_batch_normalization/beta/ResourceApplyAdam/ReadVariableOp",
  89523. "input4": "training/TFOptimizer/Adam/update_0_1/update_batch_normalization/beta/ResourceApplyAdam/ReadVariableOp_1",
  89524. "input5": "training/TFOptimizer/Adam/learning_rate",
  89525. "input6": "training/TFOptimizer/Adam/beta1",
  89526. "input7": "training/TFOptimizer/Adam/beta2",
  89527. "input8": "training/TFOptimizer/Adam/epsilon",
  89528. "input9": "training/TFOptimizer/split_4:1"
  89529. }
  89530. },
  89531. {
  89532. "ph": "X",
  89533. "cat": "Op",
  89534. "name": "ResourceApplyAdam",
  89535. "pid": 41,
  89536. "tid": 0,
  89537. "ts": 1539815917568546,
  89538. "dur": 209,
  89539. "args": {
  89540. "name": "training/TFOptimizer/Adam/update_0_11/update_conv2d_2/bias/ResourceApplyAdam",
  89541. "op": "ResourceApplyAdam",
  89542. "input0": "conv2d_2/bias",
  89543. "input1": "conv2d_2/bias/Adam",
  89544. "input2": "conv2d_2/bias/Adam_1",
  89545. "input3": "training/TFOptimizer/Adam/update_0_11/update_conv2d_2/bias/ResourceApplyAdam/ReadVariableOp",
  89546. "input4": "training/TFOptimizer/Adam/update_0_11/update_conv2d_2/bias/ResourceApplyAdam/ReadVariableOp_1",
  89547. "input5": "training/TFOptimizer/Adam/learning_rate",
  89548. "input6": "training/TFOptimizer/Adam/beta1",
  89549. "input7": "training/TFOptimizer/Adam/beta2",
  89550. "input8": "training/TFOptimizer/Adam/epsilon",
  89551. "input9": "training/TFOptimizer/split_4:11"
  89552. }
  89553. },
  89554. {
  89555. "ph": "X",
  89556. "cat": "Op",
  89557. "name": "ResourceApplyAdam",
  89558. "pid": 41,
  89559. "tid": 0,
  89560. "ts": 1539815917568761,
  89561. "dur": 104,
  89562. "args": {
  89563. "name": "training/TFOptimizer/Adam/update_0_13/update_dense/bias/ResourceApplyAdam",
  89564. "op": "ResourceApplyAdam",
  89565. "input0": "dense/bias",
  89566. "input1": "dense/bias/Adam",
  89567. "input2": "dense/bias/Adam_1",
  89568. "input3": "training/TFOptimizer/Adam/update_0_13/update_dense/bias/ResourceApplyAdam/ReadVariableOp",
  89569. "input4": "training/TFOptimizer/Adam/update_0_13/update_dense/bias/ResourceApplyAdam/ReadVariableOp_1",
  89570. "input5": "training/TFOptimizer/Adam/learning_rate",
  89571. "input6": "training/TFOptimizer/Adam/beta1",
  89572. "input7": "training/TFOptimizer/Adam/beta2",
  89573. "input8": "training/TFOptimizer/Adam/epsilon",
  89574. "input9": "training/TFOptimizer/split_4:13"
  89575. }
  89576. },
  89577. {
  89578. "ph": "X",
  89579. "cat": "Op",
  89580. "name": "ResourceApplyAdam",
  89581. "pid": 41,
  89582. "tid": 0,
  89583. "ts": 1539815917568876,
  89584. "dur": 129,
  89585. "args": {
  89586. "name": "training/TFOptimizer/Adam/update_0_15/update_dense_1/bias/ResourceApplyAdam",
  89587. "op": "ResourceApplyAdam",
  89588. "input0": "dense_1/bias",
  89589. "input1": "dense_1/bias/Adam",
  89590. "input2": "dense_1/bias/Adam_1",
  89591. "input3": "training/TFOptimizer/Adam/update_0_15/update_dense_1/bias/ResourceApplyAdam/ReadVariableOp",
  89592. "input4": "training/TFOptimizer/Adam/update_0_15/update_dense_1/bias/ResourceApplyAdam/ReadVariableOp_1",
  89593. "input5": "training/TFOptimizer/Adam/learning_rate",
  89594. "input6": "training/TFOptimizer/Adam/beta1",
  89595. "input7": "training/TFOptimizer/Adam/beta2",
  89596. "input8": "training/TFOptimizer/Adam/epsilon",
  89597. "input9": "training/TFOptimizer/split_4:15"
  89598. }
  89599. },
  89600. {
  89601. "ph": "X",
  89602. "cat": "Op",
  89603. "name": "ResourceApplyAdam",
  89604. "pid": 41,
  89605. "tid": 0,
  89606. "ts": 1539815917569010,
  89607. "dur": 164,
  89608. "args": {
  89609. "name": "training/TFOptimizer/Adam/update_0_3/update_conv2d/bias/ResourceApplyAdam",
  89610. "op": "ResourceApplyAdam",
  89611. "input0": "conv2d/bias",
  89612. "input1": "conv2d/bias/Adam",
  89613. "input2": "conv2d/bias/Adam_1",
  89614. "input3": "training/TFOptimizer/Adam/update_0_3/update_conv2d/bias/ResourceApplyAdam/ReadVariableOp",
  89615. "input4": "training/TFOptimizer/Adam/update_0_3/update_conv2d/bias/ResourceApplyAdam/ReadVariableOp_1",
  89616. "input5": "training/TFOptimizer/Adam/learning_rate",
  89617. "input6": "training/TFOptimizer/Adam/beta1",
  89618. "input7": "training/TFOptimizer/Adam/beta2",
  89619. "input8": "training/TFOptimizer/Adam/epsilon",
  89620. "input9": "training/TFOptimizer/split_4:3"
  89621. }
  89622. },
  89623. {
  89624. "ph": "X",
  89625. "cat": "Op",
  89626. "name": "ResourceApplyAdam",
  89627. "pid": 41,
  89628. "tid": 0,
  89629. "ts": 1539815917569179,
  89630. "dur": 196,
  89631. "args": {
  89632. "name": "training/TFOptimizer/Adam/update_0_4/update_batch_normalization_1/gamma/ResourceApplyAdam",
  89633. "op": "ResourceApplyAdam",
  89634. "input0": "batch_normalization_1/gamma",
  89635. "input1": "batch_normalization_1/gamma/Adam",
  89636. "input2": "batch_normalization_1/gamma/Adam_1",
  89637. "input3": "training/TFOptimizer/Adam/update_0_4/update_batch_normalization_1/gamma/ResourceApplyAdam/ReadVariableOp",
  89638. "input4": "training/TFOptimizer/Adam/update_0_4/update_batch_normalization_1/gamma/ResourceApplyAdam/ReadVariableOp_1",
  89639. "input5": "training/TFOptimizer/Adam/learning_rate",
  89640. "input6": "training/TFOptimizer/Adam/beta1",
  89641. "input7": "training/TFOptimizer/Adam/beta2",
  89642. "input8": "training/TFOptimizer/Adam/epsilon",
  89643. "input9": "training/TFOptimizer/split_4:4"
  89644. }
  89645. },
  89646. {
  89647. "ph": "X",
  89648. "cat": "Op",
  89649. "name": "ResourceApplyAdam",
  89650. "pid": 41,
  89651. "tid": 0,
  89652. "ts": 1539815917569386,
  89653. "dur": 141,
  89654. "args": {
  89655. "name": "training/TFOptimizer/Adam/update_0_5/update_batch_normalization_1/beta/ResourceApplyAdam",
  89656. "op": "ResourceApplyAdam",
  89657. "input0": "batch_normalization_1/beta",
  89658. "input1": "batch_normalization_1/beta/Adam",
  89659. "input2": "batch_normalization_1/beta/Adam_1",
  89660. "input3": "training/TFOptimizer/Adam/update_0_5/update_batch_normalization_1/beta/ResourceApplyAdam/ReadVariableOp",
  89661. "input4": "training/TFOptimizer/Adam/update_0_5/update_batch_normalization_1/beta/ResourceApplyAdam/ReadVariableOp_1",
  89662. "input5": "training/TFOptimizer/Adam/learning_rate",
  89663. "input6": "training/TFOptimizer/Adam/beta1",
  89664. "input7": "training/TFOptimizer/Adam/beta2",
  89665. "input8": "training/TFOptimizer/Adam/epsilon",
  89666. "input9": "training/TFOptimizer/split_4:5"
  89667. }
  89668. },
  89669. {
  89670. "ph": "X",
  89671. "cat": "Op",
  89672. "name": "ResourceApplyAdam",
  89673. "pid": 41,
  89674. "tid": 0,
  89675. "ts": 1539815917569533,
  89676. "dur": 176,
  89677. "args": {
  89678. "name": "training/TFOptimizer/Adam/update_0_7/update_conv2d_1/bias/ResourceApplyAdam",
  89679. "op": "ResourceApplyAdam",
  89680. "input0": "conv2d_1/bias",
  89681. "input1": "conv2d_1/bias/Adam",
  89682. "input2": "conv2d_1/bias/Adam_1",
  89683. "input3": "training/TFOptimizer/Adam/update_0_7/update_conv2d_1/bias/ResourceApplyAdam/ReadVariableOp",
  89684. "input4": "training/TFOptimizer/Adam/update_0_7/update_conv2d_1/bias/ResourceApplyAdam/ReadVariableOp_1",
  89685. "input5": "training/TFOptimizer/Adam/learning_rate",
  89686. "input6": "training/TFOptimizer/Adam/beta1",
  89687. "input7": "training/TFOptimizer/Adam/beta2",
  89688. "input8": "training/TFOptimizer/Adam/epsilon",
  89689. "input9": "training/TFOptimizer/split_4:7"
  89690. }
  89691. },
  89692. {
  89693. "ph": "X",
  89694. "cat": "Op",
  89695. "name": "ResourceApplyAdam",
  89696. "pid": 41,
  89697. "tid": 0,
  89698. "ts": 1539815917569715,
  89699. "dur": 116,
  89700. "args": {
  89701. "name": "training/TFOptimizer/Adam/update_0_8/update_batch_normalization_2/gamma/ResourceApplyAdam",
  89702. "op": "ResourceApplyAdam",
  89703. "input0": "batch_normalization_2/gamma",
  89704. "input1": "batch_normalization_2/gamma/Adam",
  89705. "input2": "batch_normalization_2/gamma/Adam_1",
  89706. "input3": "training/TFOptimizer/Adam/update_0_8/update_batch_normalization_2/gamma/ResourceApplyAdam/ReadVariableOp",
  89707. "input4": "training/TFOptimizer/Adam/update_0_8/update_batch_normalization_2/gamma/ResourceApplyAdam/ReadVariableOp_1",
  89708. "input5": "training/TFOptimizer/Adam/learning_rate",
  89709. "input6": "training/TFOptimizer/Adam/beta1",
  89710. "input7": "training/TFOptimizer/Adam/beta2",
  89711. "input8": "training/TFOptimizer/Adam/epsilon",
  89712. "input9": "training/TFOptimizer/split_4:8"
  89713. }
  89714. },
  89715. {
  89716. "ph": "X",
  89717. "cat": "Op",
  89718. "name": "ResourceApplyAdam",
  89719. "pid": 41,
  89720. "tid": 0,
  89721. "ts": 1539815917569842,
  89722. "dur": 137,
  89723. "args": {
  89724. "name": "training/TFOptimizer/Adam/update_0_9/update_batch_normalization_2/beta/ResourceApplyAdam",
  89725. "op": "ResourceApplyAdam",
  89726. "input0": "batch_normalization_2/beta",
  89727. "input1": "batch_normalization_2/beta/Adam",
  89728. "input2": "batch_normalization_2/beta/Adam_1",
  89729. "input3": "training/TFOptimizer/Adam/update_0_9/update_batch_normalization_2/beta/ResourceApplyAdam/ReadVariableOp",
  89730. "input4": "training/TFOptimizer/Adam/update_0_9/update_batch_normalization_2/beta/ResourceApplyAdam/ReadVariableOp_1",
  89731. "input5": "training/TFOptimizer/Adam/learning_rate",
  89732. "input6": "training/TFOptimizer/Adam/beta1",
  89733. "input7": "training/TFOptimizer/Adam/beta2",
  89734. "input8": "training/TFOptimizer/Adam/epsilon",
  89735. "input9": "training/TFOptimizer/split_4:9"
  89736. }
  89737. },
  89738. {
  89739. "ph": "X",
  89740. "cat": "Op",
  89741. "name": "ResourceApplyAdam",
  89742. "pid": 41,
  89743. "tid": 0,
  89744. "ts": 1539815917569992,
  89745. "dur": 106,
  89746. "args": {
  89747. "name": "training/TFOptimizer/Adam/update_0_10/update_conv2d_2/kernel/ResourceApplyAdam",
  89748. "op": "ResourceApplyAdam",
  89749. "input0": "conv2d_2/kernel",
  89750. "input1": "conv2d_2/kernel/Adam",
  89751. "input2": "conv2d_2/kernel/Adam_1",
  89752. "input3": "training/TFOptimizer/Adam/update_0_10/update_conv2d_2/kernel/ResourceApplyAdam/ReadVariableOp",
  89753. "input4": "training/TFOptimizer/Adam/update_0_10/update_conv2d_2/kernel/ResourceApplyAdam/ReadVariableOp_1",
  89754. "input5": "training/TFOptimizer/Adam/learning_rate",
  89755. "input6": "training/TFOptimizer/Adam/beta1",
  89756. "input7": "training/TFOptimizer/Adam/beta2",
  89757. "input8": "training/TFOptimizer/Adam/epsilon",
  89758. "input9": "training/TFOptimizer/Reshape_74"
  89759. }
  89760. },
  89761. {
  89762. "ph": "X",
  89763. "cat": "Op",
  89764. "name": "ResourceApplyAdam",
  89765. "pid": 41,
  89766. "tid": 0,
  89767. "ts": 1539815917570108,
  89768. "dur": 146,
  89769. "args": {
  89770. "name": "training/TFOptimizer/Adam/update_0_12/update_dense/kernel/ResourceApplyAdam",
  89771. "op": "ResourceApplyAdam",
  89772. "input0": "dense/kernel",
  89773. "input1": "dense/kernel/Adam",
  89774. "input2": "dense/kernel/Adam_1",
  89775. "input3": "training/TFOptimizer/Adam/update_0_12/update_dense/kernel/ResourceApplyAdam/ReadVariableOp",
  89776. "input4": "training/TFOptimizer/Adam/update_0_12/update_dense/kernel/ResourceApplyAdam/ReadVariableOp_1",
  89777. "input5": "training/TFOptimizer/Adam/learning_rate",
  89778. "input6": "training/TFOptimizer/Adam/beta1",
  89779. "input7": "training/TFOptimizer/Adam/beta2",
  89780. "input8": "training/TFOptimizer/Adam/epsilon",
  89781. "input9": "training/TFOptimizer/Reshape_76"
  89782. }
  89783. },
  89784. {
  89785. "ph": "X",
  89786. "cat": "Op",
  89787. "name": "ResourceApplyAdam",
  89788. "pid": 41,
  89789. "tid": 0,
  89790. "ts": 1539815917570267,
  89791. "dur": 121,
  89792. "args": {
  89793. "name": "training/TFOptimizer/Adam/update_0_14/update_dense_1/kernel/ResourceApplyAdam",
  89794. "op": "ResourceApplyAdam",
  89795. "input0": "dense_1/kernel",
  89796. "input1": "dense_1/kernel/Adam",
  89797. "input2": "dense_1/kernel/Adam_1",
  89798. "input3": "training/TFOptimizer/Adam/update_0_14/update_dense_1/kernel/ResourceApplyAdam/ReadVariableOp",
  89799. "input4": "training/TFOptimizer/Adam/update_0_14/update_dense_1/kernel/ResourceApplyAdam/ReadVariableOp_1",
  89800. "input5": "training/TFOptimizer/Adam/learning_rate",
  89801. "input6": "training/TFOptimizer/Adam/beta1",
  89802. "input7": "training/TFOptimizer/Adam/beta2",
  89803. "input8": "training/TFOptimizer/Adam/epsilon",
  89804. "input9": "training/TFOptimizer/Reshape_78"
  89805. }
  89806. },
  89807. {
  89808. "ph": "X",
  89809. "cat": "Op",
  89810. "name": "ResourceApplyAdam",
  89811. "pid": 41,
  89812. "tid": 0,
  89813. "ts": 1539815917570399,
  89814. "dur": 128,
  89815. "args": {
  89816. "name": "training/TFOptimizer/Adam/update_0_2/update_conv2d/kernel/ResourceApplyAdam",
  89817. "op": "ResourceApplyAdam",
  89818. "input0": "conv2d/kernel",
  89819. "input1": "conv2d/kernel/Adam",
  89820. "input2": "conv2d/kernel/Adam_1",
  89821. "input3": "training/TFOptimizer/Adam/update_0_2/update_conv2d/kernel/ResourceApplyAdam/ReadVariableOp",
  89822. "input4": "training/TFOptimizer/Adam/update_0_2/update_conv2d/kernel/ResourceApplyAdam/ReadVariableOp_1",
  89823. "input5": "training/TFOptimizer/Adam/learning_rate",
  89824. "input6": "training/TFOptimizer/Adam/beta1",
  89825. "input7": "training/TFOptimizer/Adam/beta2",
  89826. "input8": "training/TFOptimizer/Adam/epsilon",
  89827. "input9": "training/TFOptimizer/Reshape_66"
  89828. }
  89829. },
  89830. {
  89831. "ph": "X",
  89832. "cat": "Op",
  89833. "name": "Identity",
  89834. "pid": 41,
  89835. "tid": 0,
  89836. "ts": 1539815917570622,
  89837. "dur": 7,
  89838. "args": {
  89839. "name": "GroupCrossDeviceControlEdges_1/training/TFOptimizer/Adam/update_0_16/ReadVariableOp/_1489",
  89840. "op": "Identity",
  89841. "input0": "GroupCrossDeviceControlEdges_1/training/TFOptimizer/Adam/update_0_16/ReadVariableOp/_1488"
  89842. }
  89843. },
  89844. {
  89845. "ph": "X",
  89846. "cat": "Op",
  89847. "name": "ResourceApplyAdam",
  89848. "pid": 41,
  89849. "tid": 1,
  89850. "ts": 1539815917570533,
  89851. "dur": 86,
  89852. "args": {
  89853. "name": "training/TFOptimizer/Adam/update_0_6/update_conv2d_1/kernel/ResourceApplyAdam",
  89854. "op": "ResourceApplyAdam",
  89855. "input0": "conv2d_1/kernel",
  89856. "input1": "conv2d_1/kernel/Adam",
  89857. "input2": "conv2d_1/kernel/Adam_1",
  89858. "input3": "training/TFOptimizer/Adam/update_0_6/update_conv2d_1/kernel/ResourceApplyAdam/ReadVariableOp",
  89859. "input4": "training/TFOptimizer/Adam/update_0_6/update_conv2d_1/kernel/ResourceApplyAdam/ReadVariableOp_1",
  89860. "input5": "training/TFOptimizer/Adam/learning_rate",
  89861. "input6": "training/TFOptimizer/Adam/beta1",
  89862. "input7": "training/TFOptimizer/Adam/beta2",
  89863. "input8": "training/TFOptimizer/Adam/epsilon",
  89864. "input9": "training/TFOptimizer/Reshape_70"
  89865. }
  89866. },
  89867. {
  89868. "ph": "s",
  89869. "cat": "DataFlow",
  89870. "name": "conv2d_1/kernel",
  89871. "pid": 41,
  89872. "tid": 0,
  89873. "ts": 1539815912099010,
  89874. "id": 302
  89875. },
  89876. {
  89877. "ph": "t",
  89878. "cat": "DataFlow",
  89879. "name": "conv2d_1/kernel",
  89880. "pid": 41,
  89881. "tid": 1,
  89882. "ts": 1539815917570533,
  89883. "id": 302
  89884. },
  89885. {
  89886. "ph": "s",
  89887. "cat": "DataFlow",
  89888. "name": "conv2d_1/kernel/Adam",
  89889. "pid": 41,
  89890. "tid": 0,
  89891. "ts": 1539815912098761,
  89892. "id": 303
  89893. },
  89894. {
  89895. "ph": "t",
  89896. "cat": "DataFlow",
  89897. "name": "conv2d_1/kernel/Adam",
  89898. "pid": 41,
  89899. "tid": 1,
  89900. "ts": 1539815917570533,
  89901. "id": 303
  89902. },
  89903. {
  89904. "ph": "s",
  89905. "cat": "DataFlow",
  89906. "name": "conv2d_1/kernel/Adam_1",
  89907. "pid": 41,
  89908. "tid": 0,
  89909. "ts": 1539815912098767,
  89910. "id": 304
  89911. },
  89912. {
  89913. "ph": "t",
  89914. "cat": "DataFlow",
  89915. "name": "conv2d_1/kernel/Adam_1",
  89916. "pid": 41,
  89917. "tid": 1,
  89918. "ts": 1539815917570533,
  89919. "id": 304
  89920. },
  89921. {
  89922. "ph": "s",
  89923. "cat": "DataFlow",
  89924. "name": "training/TFOptimizer/Adam/update_0_6/update_conv2d_1/kernel/ResourceApplyAdam/ReadVariableOp",
  89925. "pid": 41,
  89926. "tid": 0,
  89927. "ts": 1539815912099361,
  89928. "id": 305
  89929. },
  89930. {
  89931. "ph": "t",
  89932. "cat": "DataFlow",
  89933. "name": "training/TFOptimizer/Adam/update_0_6/update_conv2d_1/kernel/ResourceApplyAdam/ReadVariableOp",
  89934. "pid": 41,
  89935. "tid": 1,
  89936. "ts": 1539815917570533,
  89937. "id": 305
  89938. },
  89939. {
  89940. "ph": "s",
  89941. "cat": "DataFlow",
  89942. "name": "training/TFOptimizer/Adam/update_0_6/update_conv2d_1/kernel/ResourceApplyAdam/ReadVariableOp_1",
  89943. "pid": 41,
  89944. "tid": 0,
  89945. "ts": 1539815912099505,
  89946. "id": 306
  89947. },
  89948. {
  89949. "ph": "t",
  89950. "cat": "DataFlow",
  89951. "name": "training/TFOptimizer/Adam/update_0_6/update_conv2d_1/kernel/ResourceApplyAdam/ReadVariableOp_1",
  89952. "pid": 41,
  89953. "tid": 1,
  89954. "ts": 1539815917570533,
  89955. "id": 306
  89956. },
  89957. {
  89958. "ph": "s",
  89959. "cat": "DataFlow",
  89960. "name": "training/TFOptimizer/Adam/learning_rate",
  89961. "pid": 41,
  89962. "tid": 0,
  89963. "ts": 1539815912099124,
  89964. "id": 307
  89965. },
  89966. {
  89967. "ph": "t",
  89968. "cat": "DataFlow",
  89969. "name": "training/TFOptimizer/Adam/learning_rate",
  89970. "pid": 41,
  89971. "tid": 1,
  89972. "ts": 1539815917570533,
  89973. "id": 307
  89974. },
  89975. {
  89976. "ph": "s",
  89977. "cat": "DataFlow",
  89978. "name": "training/TFOptimizer/Adam/beta1",
  89979. "pid": 41,
  89980. "tid": 0,
  89981. "ts": 1539815912099133,
  89982. "id": 308
  89983. },
  89984. {
  89985. "ph": "t",
  89986. "cat": "DataFlow",
  89987. "name": "training/TFOptimizer/Adam/beta1",
  89988. "pid": 41,
  89989. "tid": 1,
  89990. "ts": 1539815917570533,
  89991. "id": 308
  89992. },
  89993. {
  89994. "ph": "s",
  89995. "cat": "DataFlow",
  89996. "name": "training/TFOptimizer/Adam/beta2",
  89997. "pid": 41,
  89998. "tid": 0,
  89999. "ts": 1539815912099143,
  90000. "id": 309
  90001. },
  90002. {
  90003. "ph": "t",
  90004. "cat": "DataFlow",
  90005. "name": "training/TFOptimizer/Adam/beta2",
  90006. "pid": 41,
  90007. "tid": 1,
  90008. "ts": 1539815917570533,
  90009. "id": 309
  90010. },
  90011. {
  90012. "ph": "s",
  90013. "cat": "DataFlow",
  90014. "name": "training/TFOptimizer/Adam/epsilon",
  90015. "pid": 41,
  90016. "tid": 0,
  90017. "ts": 1539815912099150,
  90018. "id": 310
  90019. },
  90020. {
  90021. "ph": "t",
  90022. "cat": "DataFlow",
  90023. "name": "training/TFOptimizer/Adam/epsilon",
  90024. "pid": 41,
  90025. "tid": 1,
  90026. "ts": 1539815917570533,
  90027. "id": 310
  90028. },
  90029. {
  90030. "ph": "s",
  90031. "cat": "DataFlow",
  90032. "name": "training/TFOptimizer/Reshape_70",
  90033. "pid": 41,
  90034. "tid": 0,
  90035. "ts": 1539815917564358,
  90036. "id": 311
  90037. },
  90038. {
  90039. "ph": "t",
  90040. "cat": "DataFlow",
  90041. "name": "training/TFOptimizer/Reshape_70",
  90042. "pid": 41,
  90043. "tid": 1,
  90044. "ts": 1539815917570533,
  90045. "id": 311
  90046. },
  90047. {
  90048. "ph": "X",
  90049. "cat": "Op",
  90050. "name": "Identity",
  90051. "pid": 41,
  90052. "tid": 1,
  90053. "ts": 1539815917570625,
  90054. "dur": 9,
  90055. "args": {
  90056. "name": "GroupCrossDeviceControlEdges_0/training/TFOptimizer/Adam/update_0_16/ReadVariableOp/_1485",
  90057. "op": "Identity",
  90058. "input0": "GroupCrossDeviceControlEdges_0/training/TFOptimizer/Adam/update_0_16/ReadVariableOp/_1484"
  90059. }
  90060. },
  90061. {
  90062. "ph": "X",
  90063. "cat": "Op",
  90064. "name": "NoOp",
  90065. "pid": 41,
  90066. "tid": 0,
  90067. "ts": 1539815917570634,
  90068. "dur": 13,
  90069. "args": {
  90070. "name": "training/TFOptimizer/Adam/update_1_16/update/NoOp",
  90071. "op": "NoOp",
  90072. "input0": "^training/TFOptimizer/Adam/update_0/update_batch_normalization/gamma/ResourceApplyAdam",
  90073. "input1": "^training/TFOptimizer/Adam/update_0_1/update_batch_normalization/beta/ResourceApplyAdam",
  90074. "input2": "^training/TFOptimizer/Adam/update_0_10/update_conv2d_2/kernel/ResourceApplyAdam",
  90075. "input3": "^training/TFOptimizer/Adam/update_0_11/update_conv2d_2/bias/ResourceApplyAdam",
  90076. "input4": "^training/TFOptimizer/Adam/update_0_12/update_dense/kernel/ResourceApplyAdam",
  90077. "input5": "^training/TFOptimizer/Adam/update_0_13/update_dense/bias/ResourceApplyAdam",
  90078. "input6": "^training/TFOptimizer/Adam/update_0_14/update_dense_1/kernel/ResourceApplyAdam",
  90079. "input7": "^training/TFOptimizer/Adam/update_0_15/update_dense_1/bias/ResourceApplyAdam",
  90080. "input8": "^training/TFOptimizer/Adam/update_0_2/update_conv2d/kernel/ResourceApplyAdam",
  90081. "input9": "^training/TFOptimizer/Adam/update_0_3/update_conv2d/bias/ResourceApplyAdam",
  90082. "input10": "^training/TFOptimizer/Adam/update_0_4/update_batch_normalization_1/gamma/ResourceApplyAdam",
  90083. "input11": "^training/TFOptimizer/Adam/update_0_5/update_batch_normalization_1/beta/ResourceApplyAdam",
  90084. "input12": "^training/TFOptimizer/Adam/update_0_6/update_conv2d_1/kernel/ResourceApplyAdam",
  90085. "input13": "^training/TFOptimizer/Adam/update_0_7/update_conv2d_1/bias/ResourceApplyAdam",
  90086. "input14": "^training/TFOptimizer/Adam/update_0_8/update_batch_normalization_2/gamma/ResourceApplyAdam",
  90087. "input15": "^training/TFOptimizer/Adam/update_0_9/update_batch_normalization_2/beta/ResourceApplyAdam"
  90088. }
  90089. },
  90090. {
  90091. "ph": "X",
  90092. "cat": "Op",
  90093. "name": "Const",
  90094. "pid": 41,
  90095. "tid": 0,
  90096. "ts": 1539815917570656,
  90097. "dur": 9,
  90098. "args": {
  90099. "name": "GroupCrossDeviceControlEdges_0/training/TFOptimizer/Adam/update_2_16/ReadVariableOp_2/_1434",
  90100. "op": "Const",
  90101. "input0": "^GroupCrossDeviceControlEdges_0/training/TFOptimizer/Adam/update_2_16/ReadVariableOp_2"
  90102. }
  90103. },
  90104. {
  90105. "ph": "X",
  90106. "cat": "Op",
  90107. "name": "Const",
  90108. "pid": 41,
  90109. "tid": 0,
  90110. "ts": 1539815917570668,
  90111. "dur": 5,
  90112. "args": {
  90113. "name": "GroupCrossDeviceControlEdges_0/training/TFOptimizer/Adam/update_3_16/ReadVariableOp/_1458",
  90114. "op": "Const",
  90115. "input0": "^GroupCrossDeviceControlEdges_0/training/TFOptimizer/Adam/update_3_16/ReadVariableOp"
  90116. }
  90117. },
  90118. {
  90119. "ph": "X",
  90120. "cat": "Op",
  90121. "name": "Const",
  90122. "pid": 41,
  90123. "tid": 0,
  90124. "ts": 1539815917570676,
  90125. "dur": 4,
  90126. "args": {
  90127. "name": "GroupCrossDeviceControlEdges_0/training/TFOptimizer/Adam/update_3_16/ReadVariableOp_2/_1470",
  90128. "op": "Const",
  90129. "input0": "^GroupCrossDeviceControlEdges_0/training/TFOptimizer/Adam/update_3_16/ReadVariableOp_2"
  90130. }
  90131. },
  90132. {
  90133. "ph": "X",
  90134. "cat": "Op",
  90135. "name": "Const",
  90136. "pid": 41,
  90137. "tid": 0,
  90138. "ts": 1539815917570683,
  90139. "dur": 8,
  90140. "args": {
  90141. "name": "GroupCrossDeviceControlEdges_0/training/TFOptimizer/Adam/update_1_16/ReadVariableOp/_1506",
  90142. "op": "Const",
  90143. "input0": "^GroupCrossDeviceControlEdges_0/training/TFOptimizer/Adam/update_1_16/ReadVariableOp"
  90144. }
  90145. },
  90146. {
  90147. "ph": "X",
  90148. "cat": "Op",
  90149. "name": "Identity",
  90150. "pid": 41,
  90151. "tid": 1,
  90152. "ts": 1539815917570681,
  90153. "dur": 15,
  90154. "args": {
  90155. "name": "GroupCrossDeviceControlEdges_1/training/TFOptimizer/Adam/update_0_16/ReadVariableOp_2/_1501",
  90156. "op": "Identity",
  90157. "input0": "GroupCrossDeviceControlEdges_1/training/TFOptimizer/Adam/update_0_16/ReadVariableOp_2/_1500"
  90158. }
  90159. },
  90160. {
  90161. "ph": "X",
  90162. "cat": "Op",
  90163. "name": "Const",
  90164. "pid": 41,
  90165. "tid": 0,
  90166. "ts": 1539815917570694,
  90167. "dur": 5,
  90168. "args": {
  90169. "name": "GroupCrossDeviceControlEdges_0/training/TFOptimizer/Adam/update_1_16/ReadVariableOp_2/_1518",
  90170. "op": "Const",
  90171. "input0": "^GroupCrossDeviceControlEdges_0/training/TFOptimizer/Adam/update_1_16/ReadVariableOp_2"
  90172. }
  90173. },
  90174. {
  90175. "ph": "X",
  90176. "cat": "Op",
  90177. "name": "Identity",
  90178. "pid": 41,
  90179. "tid": 2,
  90180. "ts": 1539815917570693,
  90181. "dur": 7,
  90182. "args": {
  90183. "name": "GroupCrossDeviceControlEdges_0/training/TFOptimizer/Adam/update_0_16/ReadVariableOp_2/_1497",
  90184. "op": "Identity",
  90185. "input0": "GroupCrossDeviceControlEdges_0/training/TFOptimizer/Adam/update_0_16/ReadVariableOp_2/_1496"
  90186. }
  90187. },
  90188. {
  90189. "ph": "X",
  90190. "cat": "Op",
  90191. "name": "Const",
  90192. "pid": 41,
  90193. "tid": 0,
  90194. "ts": 1539815917570701,
  90195. "dur": 5,
  90196. "args": {
  90197. "name": "GroupCrossDeviceControlEdges_0/training/TFOptimizer/Adam/update_2_16/ReadVariableOp/_1446",
  90198. "op": "Const",
  90199. "input0": "^GroupCrossDeviceControlEdges_0/training/TFOptimizer/Adam/update_2_16/ReadVariableOp"
  90200. }
  90201. },
  90202. {
  90203. "ph": "X",
  90204. "cat": "Op",
  90205. "name": "Const",
  90206. "pid": 41,
  90207. "tid": 0,
  90208. "ts": 1539815917570708,
  90209. "dur": 56,
  90210. "args": {
  90211. "name": "training/TFOptimizer/Adam/update_1_16/update/NoOp/_1530",
  90212. "op": "Const",
  90213. "input0": "^training/TFOptimizer/Adam/update_1_16/update/NoOp"
  90214. }
  90215. },
  90216. {
  90217. "ph": "X",
  90218. "cat": "Op",
  90219. "name": "Const",
  90220. "pid": 41,
  90221. "tid": 0,
  90222. "ts": 1539815917570767,
  90223. "dur": 6,
  90224. "args": {
  90225. "name": "training/TFOptimizer/Adam/update_1_16/update/NoOp/_1542",
  90226. "op": "Const",
  90227. "input0": "^training/TFOptimizer/Adam/update_1_16/update/NoOp"
  90228. }
  90229. },
  90230. {
  90231. "ph": "X",
  90232. "cat": "Op",
  90233. "name": "Const",
  90234. "pid": 41,
  90235. "tid": 0,
  90236. "ts": 1539815917570776,
  90237. "dur": 6,
  90238. "args": {
  90239. "name": "training/TFOptimizer/Adam/update_1_16/update/NoOp/_1566",
  90240. "op": "Const",
  90241. "input0": "^training/TFOptimizer/Adam/update_1_16/update/NoOp"
  90242. }
  90243. },
  90244. {
  90245. "ph": "X",
  90246. "cat": "Op",
  90247. "name": "Identity",
  90248. "pid": 41,
  90249. "tid": 1,
  90250. "ts": 1539815917570779,
  90251. "dur": 7,
  90252. "args": {
  90253. "name": "training/TFOptimizer/Adam/update_0_16/update/NoOp_1/_1557",
  90254. "op": "Identity",
  90255. "input0": "training/TFOptimizer/Adam/update_0_16/update/NoOp_1/_1556"
  90256. }
  90257. },
  90258. {
  90259. "ph": "X",
  90260. "cat": "Op",
  90261. "name": "Identity",
  90262. "pid": 41,
  90263. "tid": 2,
  90264. "ts": 1539815917570767,
  90265. "dur": 19,
  90266. "args": {
  90267. "name": "training/TFOptimizer/Adam/update_0_16/update/NoOp_2/_1561",
  90268. "op": "Identity",
  90269. "input0": "training/TFOptimizer/Adam/update_0_16/update/NoOp_2/_1560"
  90270. }
  90271. },
  90272. {
  90273. "ph": "X",
  90274. "cat": "Op",
  90275. "name": "Identity",
  90276. "pid": 41,
  90277. "tid": 0,
  90278. "ts": 1539815917570927,
  90279. "dur": 6,
  90280. "args": {
  90281. "name": "training/TFOptimizer/Adam/update_0_16/update/NoOp_3/_1565",
  90282. "op": "Identity",
  90283. "input0": "training/TFOptimizer/Adam/update_0_16/update/NoOp_3/_1564"
  90284. }
  90285. },
  90286. {
  90287. "ph": "X",
  90288. "cat": "Op",
  90289. "name": "Identity",
  90290. "pid": 41,
  90291. "tid": 0,
  90292. "ts": 1539815917571071,
  90293. "dur": 6,
  90294. "args": {
  90295. "name": "GroupCrossDeviceControlEdges_2/training/TFOptimizer/Adam/update_0_16/ReadVariableOp/_1493",
  90296. "op": "Identity",
  90297. "input0": "GroupCrossDeviceControlEdges_2/training/TFOptimizer/Adam/update_0_16/ReadVariableOp/_1492"
  90298. }
  90299. },
  90300. {
  90301. "ph": "X",
  90302. "cat": "Op",
  90303. "name": "ReadVariableOp",
  90304. "pid": 41,
  90305. "tid": 0,
  90306. "ts": 1539815917571080,
  90307. "dur": 10,
  90308. "args": {
  90309. "name": "training/TFOptimizer/Adam/update_0_16/ReadVariableOp",
  90310. "op": "ReadVariableOp",
  90311. "input0": "training/TFOptimizer/beta1_power",
  90312. "input1": "^training/TFOptimizer/Adam/update_0/update_batch_normalization/gamma/ResourceApplyAdam",
  90313. "input2": "^training/TFOptimizer/Adam/update_0_1/update_batch_normalization/beta/ResourceApplyAdam",
  90314. "input3": "^training/TFOptimizer/Adam/update_0_10/update_conv2d_2/kernel/ResourceApplyAdam",
  90315. "input4": "^training/TFOptimizer/Adam/update_0_11/update_conv2d_2/bias/ResourceApplyAdam",
  90316. "input5": "^training/TFOptimizer/Adam/update_0_12/update_dense/kernel/ResourceApplyAdam",
  90317. "input6": "^training/TFOptimizer/Adam/update_0_13/update_dense/bias/ResourceApplyAdam",
  90318. "input7": "^training/TFOptimizer/Adam/update_0_14/update_dense_1/kernel/ResourceApplyAdam",
  90319. "input8": "^training/TFOptimizer/Adam/update_0_15/update_dense_1/bias/ResourceApplyAdam",
  90320. "input9": "^training/TFOptimizer/Adam/update_0_2/update_conv2d/kernel/ResourceApplyAdam",
  90321. "input10": "^training/TFOptimizer/Adam/update_0_3/update_conv2d/bias/ResourceApplyAdam",
  90322. "input11": "^training/TFOptimizer/Adam/update_0_4/update_batch_normalization_1/gamma/ResourceApplyAdam",
  90323. "input12": "^training/TFOptimizer/Adam/update_0_5/update_batch_normalization_1/beta/ResourceApplyAdam",
  90324. "input13": "^training/TFOptimizer/Adam/update_0_6/update_conv2d_1/kernel/ResourceApplyAdam",
  90325. "input14": "^training/TFOptimizer/Adam/update_0_7/update_conv2d_1/bias/ResourceApplyAdam",
  90326. "input15": "^training/TFOptimizer/Adam/update_0_8/update_batch_normalization_2/gamma/ResourceApplyAdam",
  90327. "input16": "^training/TFOptimizer/Adam/update_0_9/update_batch_normalization_2/beta/ResourceApplyAdam",
  90328. "input17": "^GroupCrossDeviceControlEdges_0/training/TFOptimizer/Adam/update_0_16/ReadVariableOp/_1485",
  90329. "input18": "^GroupCrossDeviceControlEdges_1/training/TFOptimizer/Adam/update_0_16/ReadVariableOp/_1489",
  90330. "input19": "^GroupCrossDeviceControlEdges_2/training/TFOptimizer/Adam/update_0_16/ReadVariableOp/_1493"
  90331. }
  90332. },
  90333. {
  90334. "ph": "X",
  90335. "cat": "Op",
  90336. "name": "Identity",
  90337. "pid": 41,
  90338. "tid": 0,
  90339. "ts": 1539815917571102,
  90340. "dur": 7,
  90341. "args": {
  90342. "name": "GroupCrossDeviceControlEdges_2/training/TFOptimizer/Adam/update_0_16/ReadVariableOp_2/_1505",
  90343. "op": "Identity",
  90344. "input0": "GroupCrossDeviceControlEdges_2/training/TFOptimizer/Adam/update_0_16/ReadVariableOp_2/_1504"
  90345. }
  90346. },
  90347. {
  90348. "ph": "X",
  90349. "cat": "Op",
  90350. "name": "ReadVariableOp",
  90351. "pid": 41,
  90352. "tid": 0,
  90353. "ts": 1539815917571112,
  90354. "dur": 8,
  90355. "args": {
  90356. "name": "training/TFOptimizer/Adam/update_0_16/ReadVariableOp_2",
  90357. "op": "ReadVariableOp",
  90358. "input0": "training/TFOptimizer/beta2_power",
  90359. "input1": "^training/TFOptimizer/Adam/update_0/update_batch_normalization/gamma/ResourceApplyAdam",
  90360. "input2": "^training/TFOptimizer/Adam/update_0_1/update_batch_normalization/beta/ResourceApplyAdam",
  90361. "input3": "^training/TFOptimizer/Adam/update_0_10/update_conv2d_2/kernel/ResourceApplyAdam",
  90362. "input4": "^training/TFOptimizer/Adam/update_0_11/update_conv2d_2/bias/ResourceApplyAdam",
  90363. "input5": "^training/TFOptimizer/Adam/update_0_12/update_dense/kernel/ResourceApplyAdam",
  90364. "input6": "^training/TFOptimizer/Adam/update_0_13/update_dense/bias/ResourceApplyAdam",
  90365. "input7": "^training/TFOptimizer/Adam/update_0_14/update_dense_1/kernel/ResourceApplyAdam",
  90366. "input8": "^training/TFOptimizer/Adam/update_0_15/update_dense_1/bias/ResourceApplyAdam",
  90367. "input9": "^training/TFOptimizer/Adam/update_0_2/update_conv2d/kernel/ResourceApplyAdam",
  90368. "input10": "^training/TFOptimizer/Adam/update_0_3/update_conv2d/bias/ResourceApplyAdam",
  90369. "input11": "^training/TFOptimizer/Adam/update_0_4/update_batch_normalization_1/gamma/ResourceApplyAdam",
  90370. "input12": "^training/TFOptimizer/Adam/update_0_5/update_batch_normalization_1/beta/ResourceApplyAdam",
  90371. "input13": "^training/TFOptimizer/Adam/update_0_6/update_conv2d_1/kernel/ResourceApplyAdam",
  90372. "input14": "^training/TFOptimizer/Adam/update_0_7/update_conv2d_1/bias/ResourceApplyAdam",
  90373. "input15": "^training/TFOptimizer/Adam/update_0_8/update_batch_normalization_2/gamma/ResourceApplyAdam",
  90374. "input16": "^training/TFOptimizer/Adam/update_0_9/update_batch_normalization_2/beta/ResourceApplyAdam",
  90375. "input17": "^GroupCrossDeviceControlEdges_0/training/TFOptimizer/Adam/update_0_16/ReadVariableOp_2/_1497",
  90376. "input18": "^GroupCrossDeviceControlEdges_1/training/TFOptimizer/Adam/update_0_16/ReadVariableOp_2/_1501",
  90377. "input19": "^GroupCrossDeviceControlEdges_2/training/TFOptimizer/Adam/update_0_16/ReadVariableOp_2/_1505"
  90378. }
  90379. },
  90380. {
  90381. "ph": "X",
  90382. "cat": "Op",
  90383. "name": "Mul",
  90384. "pid": 41,
  90385. "tid": 1,
  90386. "ts": 1539815917571098,
  90387. "dur": 47,
  90388. "args": {
  90389. "name": "training/TFOptimizer/Adam/update_0_16/mul",
  90390. "op": "Mul",
  90391. "input0": "training/TFOptimizer/Adam/update_0_16/ReadVariableOp",
  90392. "input1": "training/TFOptimizer/Adam/beta1"
  90393. }
  90394. },
  90395. {
  90396. "ph": "s",
  90397. "cat": "DataFlow",
  90398. "name": "training/TFOptimizer/Adam/update_0_16/ReadVariableOp",
  90399. "pid": 41,
  90400. "tid": 0,
  90401. "ts": 1539815917571090,
  90402. "id": 312
  90403. },
  90404. {
  90405. "ph": "t",
  90406. "cat": "DataFlow",
  90407. "name": "training/TFOptimizer/Adam/update_0_16/ReadVariableOp",
  90408. "pid": 41,
  90409. "tid": 1,
  90410. "ts": 1539815917571098,
  90411. "id": 312
  90412. },
  90413. {
  90414. "ph": "s",
  90415. "cat": "DataFlow",
  90416. "name": "training/TFOptimizer/Adam/beta1",
  90417. "pid": 41,
  90418. "tid": 0,
  90419. "ts": 1539815912099133,
  90420. "id": 313
  90421. },
  90422. {
  90423. "ph": "t",
  90424. "cat": "DataFlow",
  90425. "name": "training/TFOptimizer/Adam/beta1",
  90426. "pid": 41,
  90427. "tid": 1,
  90428. "ts": 1539815917571098,
  90429. "id": 313
  90430. },
  90431. {
  90432. "ph": "X",
  90433. "cat": "Op",
  90434. "name": "AssignVariableOp",
  90435. "pid": 41,
  90436. "tid": 0,
  90437. "ts": 1539815917571149,
  90438. "dur": 8,
  90439. "args": {
  90440. "name": "training/TFOptimizer/Adam/update_0_16/AssignVariableOp",
  90441. "op": "AssignVariableOp",
  90442. "input0": "training/TFOptimizer/beta1_power",
  90443. "input1": "training/TFOptimizer/Adam/update_0_16/mul"
  90444. }
  90445. },
  90446. {
  90447. "ph": "s",
  90448. "cat": "DataFlow",
  90449. "name": "training/TFOptimizer/Adam/update_0_16/mul",
  90450. "pid": 41,
  90451. "tid": 1,
  90452. "ts": 1539815917571145,
  90453. "id": 314
  90454. },
  90455. {
  90456. "ph": "t",
  90457. "cat": "DataFlow",
  90458. "name": "training/TFOptimizer/Adam/update_0_16/mul",
  90459. "pid": 41,
  90460. "tid": 0,
  90461. "ts": 1539815917571149,
  90462. "id": 314
  90463. },
  90464. {
  90465. "ph": "X",
  90466. "cat": "Op",
  90467. "name": "Identity",
  90468. "pid": 41,
  90469. "tid": 1,
  90470. "ts": 1539815917571149,
  90471. "dur": 14,
  90472. "args": {
  90473. "name": "training/TFOptimizer/Adam/update_3_16/update/_1589",
  90474. "op": "Identity",
  90475. "input0": "training/TFOptimizer/Adam/update_3_16/update/_1588"
  90476. }
  90477. },
  90478. {
  90479. "ph": "X",
  90480. "cat": "Op",
  90481. "name": "ReadVariableOp",
  90482. "pid": 41,
  90483. "tid": 0,
  90484. "ts": 1539815917571159,
  90485. "dur": 6,
  90486. "args": {
  90487. "name": "training/TFOptimizer/Adam/update_0_16/ReadVariableOp_1",
  90488. "op": "ReadVariableOp",
  90489. "input0": "training/TFOptimizer/beta1_power",
  90490. "input1": "^training/TFOptimizer/Adam/update_0_16/AssignVariableOp"
  90491. }
  90492. },
  90493. {
  90494. "ph": "X",
  90495. "cat": "Op",
  90496. "name": "Mul",
  90497. "pid": 41,
  90498. "tid": 2,
  90499. "ts": 1539815917571135,
  90500. "dur": 37,
  90501. "args": {
  90502. "name": "training/TFOptimizer/Adam/update_0_16/mul_1",
  90503. "op": "Mul",
  90504. "input0": "training/TFOptimizer/Adam/update_0_16/ReadVariableOp_2",
  90505. "input1": "training/TFOptimizer/Adam/beta2"
  90506. }
  90507. },
  90508. {
  90509. "ph": "s",
  90510. "cat": "DataFlow",
  90511. "name": "training/TFOptimizer/Adam/update_0_16/ReadVariableOp_2",
  90512. "pid": 41,
  90513. "tid": 0,
  90514. "ts": 1539815917571120,
  90515. "id": 315
  90516. },
  90517. {
  90518. "ph": "t",
  90519. "cat": "DataFlow",
  90520. "name": "training/TFOptimizer/Adam/update_0_16/ReadVariableOp_2",
  90521. "pid": 41,
  90522. "tid": 2,
  90523. "ts": 1539815917571135,
  90524. "id": 315
  90525. },
  90526. {
  90527. "ph": "s",
  90528. "cat": "DataFlow",
  90529. "name": "training/TFOptimizer/Adam/beta2",
  90530. "pid": 41,
  90531. "tid": 0,
  90532. "ts": 1539815912099143,
  90533. "id": 316
  90534. },
  90535. {
  90536. "ph": "t",
  90537. "cat": "DataFlow",
  90538. "name": "training/TFOptimizer/Adam/beta2",
  90539. "pid": 41,
  90540. "tid": 2,
  90541. "ts": 1539815917571135,
  90542. "id": 316
  90543. },
  90544. {
  90545. "ph": "X",
  90546. "cat": "Op",
  90547. "name": "AssignVariableOp",
  90548. "pid": 41,
  90549. "tid": 0,
  90550. "ts": 1539815917571176,
  90551. "dur": 8,
  90552. "args": {
  90553. "name": "training/TFOptimizer/Adam/update_0_16/AssignVariableOp_1",
  90554. "op": "AssignVariableOp",
  90555. "input0": "training/TFOptimizer/beta2_power",
  90556. "input1": "training/TFOptimizer/Adam/update_0_16/mul_1"
  90557. }
  90558. },
  90559. {
  90560. "ph": "s",
  90561. "cat": "DataFlow",
  90562. "name": "training/TFOptimizer/Adam/update_0_16/mul_1",
  90563. "pid": 41,
  90564. "tid": 2,
  90565. "ts": 1539815917571172,
  90566. "id": 317
  90567. },
  90568. {
  90569. "ph": "t",
  90570. "cat": "DataFlow",
  90571. "name": "training/TFOptimizer/Adam/update_0_16/mul_1",
  90572. "pid": 41,
  90573. "tid": 0,
  90574. "ts": 1539815917571176,
  90575. "id": 317
  90576. },
  90577. {
  90578. "ph": "X",
  90579. "cat": "Op",
  90580. "name": "ReadVariableOp",
  90581. "pid": 41,
  90582. "tid": 0,
  90583. "ts": 1539815917571187,
  90584. "dur": 5,
  90585. "args": {
  90586. "name": "training/TFOptimizer/Adam/update_0_16/ReadVariableOp_3",
  90587. "op": "ReadVariableOp",
  90588. "input0": "training/TFOptimizer/beta2_power",
  90589. "input1": "^training/TFOptimizer/Adam/update_0_16/AssignVariableOp_1"
  90590. }
  90591. },
  90592. {
  90593. "ph": "X",
  90594. "cat": "Op",
  90595. "name": "NoOp",
  90596. "pid": 41,
  90597. "tid": 0,
  90598. "ts": 1539815917571195,
  90599. "dur": 4,
  90600. "args": {
  90601. "name": "training/TFOptimizer/Adam/update_0_16/update",
  90602. "op": "NoOp",
  90603. "input0": "^training/TFOptimizer/Adam/update_0_16/ReadVariableOp_3",
  90604. "input1": "^training/TFOptimizer/Adam/update_0_16/update/NoOp_1/_1557",
  90605. "input2": "^training/TFOptimizer/Adam/update_0_16/update/NoOp_2/_1561",
  90606. "input3": "^training/TFOptimizer/Adam/update_0_16/update/NoOp_3/_1565",
  90607. "input4": "^training/TFOptimizer/Adam/update_0_16/ReadVariableOp_1"
  90608. }
  90609. },
  90610. {
  90611. "ph": "X",
  90612. "cat": "Op",
  90613. "name": "Const",
  90614. "pid": 41,
  90615. "tid": 0,
  90616. "ts": 1539815917571203,
  90617. "dur": 6,
  90618. "args": {
  90619. "name": "training/TFOptimizer/Adam/update_0_16/update/_1590",
  90620. "op": "Const",
  90621. "input0": "^training/TFOptimizer/Adam/update_0_16/update"
  90622. }
  90623. },
  90624. {
  90625. "ph": "X",
  90626. "cat": "Op",
  90627. "name": "Const",
  90628. "pid": 41,
  90629. "tid": 0,
  90630. "ts": 1539815917571212,
  90631. "dur": 4,
  90632. "args": {
  90633. "name": "training/TFOptimizer/Adam/update_0_16/update/_1602",
  90634. "op": "Const",
  90635. "input0": "^training/TFOptimizer/Adam/update_0_16/update"
  90636. }
  90637. },
  90638. {
  90639. "ph": "X",
  90640. "cat": "Op",
  90641. "name": "Const",
  90642. "pid": 41,
  90643. "tid": 0,
  90644. "ts": 1539815917571218,
  90645. "dur": 5,
  90646. "args": {
  90647. "name": "training/TFOptimizer/Adam/update_0_16/update/_1614",
  90648. "op": "Const",
  90649. "input0": "^training/TFOptimizer/Adam/update_0_16/update"
  90650. }
  90651. },
  90652. {
  90653. "ph": "X",
  90654. "cat": "Op",
  90655. "name": "Identity",
  90656. "pid": 41,
  90657. "tid": 0,
  90658. "ts": 1539815917571430,
  90659. "dur": 9,
  90660. "args": {
  90661. "name": "training/TFOptimizer/Adam/update_1_16/update/_1581",
  90662. "op": "Identity",
  90663. "input0": "training/TFOptimizer/Adam/update_1_16/update/_1580"
  90664. }
  90665. },
  90666. {
  90667. "ph": "X",
  90668. "cat": "Op",
  90669. "name": "Identity",
  90670. "pid": 41,
  90671. "tid": 1,
  90672. "ts": 1539815917571434,
  90673. "dur": 8,
  90674. "args": {
  90675. "name": "training/TFOptimizer/Adam/update_2_16/update/_1585",
  90676. "op": "Identity",
  90677. "input0": "training/TFOptimizer/Adam/update_2_16/update/_1584"
  90678. }
  90679. },
  90680. {
  90681. "ph": "X",
  90682. "cat": "Op",
  90683. "name": "Const",
  90684. "pid": 41,
  90685. "tid": 0,
  90686. "ts": 1539815917571445,
  90687. "dur": 7,
  90688. "args": {
  90689. "name": "training/TFOptimizer/Adam/update_0_17/Const",
  90690. "op": "Const",
  90691. "input0": "^training/TFOptimizer/Adam/update_0_16/update",
  90692. "input1": "^training/TFOptimizer/Adam/update_1_16/update/_1581",
  90693. "input2": "^training/TFOptimizer/Adam/update_2_16/update/_1585",
  90694. "input3": "^training/TFOptimizer/Adam/update_3_16/update/_1589"
  90695. }
  90696. },
  90697. {
  90698. "ph": "X",
  90699. "cat": "Op",
  90700. "name": "AssignAddVariableOp",
  90701. "pid": 41,
  90702. "tid": 0,
  90703. "ts": 1539815917571461,
  90704. "dur": 87,
  90705. "args": {
  90706. "name": "training/TFOptimizer/Adam/update_0_17/AssignAddVariableOp",
  90707. "op": "AssignAddVariableOp",
  90708. "input0": "global_step",
  90709. "input1": "training/TFOptimizer/Adam/update_0_17/Const"
  90710. }
  90711. },
  90712. {
  90713. "ph": "X",
  90714. "cat": "Op",
  90715. "name": "ReadVariableOp",
  90716. "pid": 41,
  90717. "tid": 0,
  90718. "ts": 1539815917571552,
  90719. "dur": 10,
  90720. "args": {
  90721. "name": "training/TFOptimizer/Adam/update_0_17/ReadVariableOp",
  90722. "op": "ReadVariableOp",
  90723. "input0": "global_step",
  90724. "input1": "^training/TFOptimizer/Adam/update_0_17/AssignAddVariableOp"
  90725. }
  90726. },
  90727. {
  90728. "ph": "X",
  90729. "cat": "Op",
  90730. "name": "Identity",
  90731. "pid": 41,
  90732. "tid": 0,
  90733. "ts": 1539815917571617,
  90734. "dur": 8,
  90735. "args": {
  90736. "name": "training/TFOptimizer/Adam/update_1_17/ReadVariableOp/_1629",
  90737. "op": "Identity",
  90738. "input0": "training/TFOptimizer/Adam/update_1_17/ReadVariableOp/_1628"
  90739. }
  90740. },
  90741. {
  90742. "ph": "s",
  90743. "cat": "DataFlow",
  90744. "name": "training/TFOptimizer/Adam/update_1_17/ReadVariableOp",
  90745. "pid": 39,
  90746. "tid": 0,
  90747. "ts": 1539815917571549,
  90748. "id": 318
  90749. },
  90750. {
  90751. "ph": "t",
  90752. "cat": "DataFlow",
  90753. "name": "training/TFOptimizer/Adam/update_1_17/ReadVariableOp",
  90754. "pid": 41,
  90755. "tid": 0,
  90756. "ts": 1539815917571617,
  90757. "id": 318
  90758. },
  90759. {
  90760. "ph": "X",
  90761. "cat": "Op",
  90762. "name": "Identity",
  90763. "pid": 41,
  90764. "tid": 0,
  90765. "ts": 1539815917571676,
  90766. "dur": 7,
  90767. "args": {
  90768. "name": "training/TFOptimizer/Adam/update_2_17/ReadVariableOp/_1633",
  90769. "op": "Identity",
  90770. "input0": "training/TFOptimizer/Adam/update_2_17/ReadVariableOp/_1632"
  90771. }
  90772. },
  90773. {
  90774. "ph": "s",
  90775. "cat": "DataFlow",
  90776. "name": "training/TFOptimizer/Adam/update_2_17/ReadVariableOp",
  90777. "pid": 31,
  90778. "tid": 0,
  90779. "ts": 1539815917571588,
  90780. "id": 319
  90781. },
  90782. {
  90783. "ph": "t",
  90784. "cat": "DataFlow",
  90785. "name": "training/TFOptimizer/Adam/update_2_17/ReadVariableOp",
  90786. "pid": 41,
  90787. "tid": 0,
  90788. "ts": 1539815917571676,
  90789. "id": 319
  90790. },
  90791. {
  90792. "ph": "X",
  90793. "cat": "Op",
  90794. "name": "Identity",
  90795. "pid": 41,
  90796. "tid": 0,
  90797. "ts": 1539815917571689,
  90798. "dur": 9,
  90799. "args": {
  90800. "name": "training/TFOptimizer/Adam/update_3_17/ReadVariableOp/_1637",
  90801. "op": "Identity",
  90802. "input0": "training/TFOptimizer/Adam/update_3_17/ReadVariableOp/_1636"
  90803. }
  90804. },
  90805. {
  90806. "ph": "s",
  90807. "cat": "DataFlow",
  90808. "name": "training/TFOptimizer/Adam/update_3_17/ReadVariableOp",
  90809. "pid": 19,
  90810. "tid": 0,
  90811. "ts": 1539815917571616,
  90812. "id": 320
  90813. },
  90814. {
  90815. "ph": "t",
  90816. "cat": "DataFlow",
  90817. "name": "training/TFOptimizer/Adam/update_3_17/ReadVariableOp",
  90818. "pid": 41,
  90819. "tid": 0,
  90820. "ts": 1539815917571689,
  90821. "id": 320
  90822. },
  90823. {
  90824. "ph": "X",
  90825. "cat": "Op",
  90826. "name": "NoOp",
  90827. "pid": 41,
  90828. "tid": 0,
  90829. "ts": 1539815917571701,
  90830. "dur": 3,
  90831. "args": {
  90832. "name": "training/TFOptimizer/Adam/group_deps",
  90833. "op": "NoOp",
  90834. "input0": "^training/TFOptimizer/Adam/update_0_17/ReadVariableOp",
  90835. "input1": "^training/TFOptimizer/Adam/update_1_17/ReadVariableOp/_1629",
  90836. "input2": "^training/TFOptimizer/Adam/update_2_17/ReadVariableOp/_1633",
  90837. "input3": "^training/TFOptimizer/Adam/update_3_17/ReadVariableOp/_1637"
  90838. }
  90839. },
  90840. {
  90841. "ph": "X",
  90842. "cat": "Op",
  90843. "name": "Const",
  90844. "pid": 41,
  90845. "tid": 0,
  90846. "ts": 1539815917571708,
  90847. "dur": 5,
  90848. "args": {
  90849. "name": "training/TFOptimizer/Adam/group_deps/_1638",
  90850. "op": "Const",
  90851. "input0": "^training/TFOptimizer/Adam/group_deps"
  90852. }
  90853. },
  90854. {
  90855. "ph": "X",
  90856. "cat": "Op",
  90857. "name": "Const",
  90858. "pid": 41,
  90859. "tid": 0,
  90860. "ts": 1539815917571715,
  90861. "dur": 9,
  90862. "args": {
  90863. "name": "training/TFOptimizer/Adam/group_deps/_1642",
  90864. "op": "Const",
  90865. "input0": "^training/TFOptimizer/Adam/group_deps"
  90866. }
  90867. },
  90868. {
  90869. "ph": "X",
  90870. "cat": "Op",
  90871. "name": "Const",
  90872. "pid": 41,
  90873. "tid": 0,
  90874. "ts": 1539815917571727,
  90875. "dur": 4,
  90876. "args": {
  90877. "name": "training/TFOptimizer/Adam/group_deps/_1646",
  90878. "op": "Const",
  90879. "input0": "^training/TFOptimizer/Adam/group_deps"
  90880. }
  90881. },
  90882. {
  90883. "ph": "X",
  90884. "cat": "Op",
  90885. "name": "Identity",
  90886. "pid": 41,
  90887. "tid": 0,
  90888. "ts": 1539815917571891,
  90889. "dur": 7,
  90890. "args": {
  90891. "name": "tower_2/training/group_deps/_1657",
  90892. "op": "Identity",
  90893. "input0": "tower_2/training/group_deps/_1656"
  90894. }
  90895. },
  90896. {
  90897. "ph": "X",
  90898. "cat": "Op",
  90899. "name": "Identity",
  90900. "pid": 41,
  90901. "tid": 0,
  90902. "ts": 1539815917571904,
  90903. "dur": 6,
  90904. "args": {
  90905. "name": "tower_1/training/group_deps/_1653",
  90906. "op": "Identity",
  90907. "input0": "tower_1/training/group_deps/_1652"
  90908. }
  90909. },
  90910. {
  90911. "ph": "X",
  90912. "cat": "Op",
  90913. "name": "Identity",
  90914. "pid": 41,
  90915. "tid": 0,
  90916. "ts": 1539815917571913,
  90917. "dur": 5,
  90918. "args": {
  90919. "name": "tower_3/training/group_deps/_1661",
  90920. "op": "Identity",
  90921. "input0": "tower_3/training/group_deps/_1660"
  90922. }
  90923. },
  90924. {
  90925. "ph": "X",
  90926. "cat": "Op",
  90927. "name": "NoOp",
  90928. "pid": 41,
  90929. "tid": 0,
  90930. "ts": 1539815917571920,
  90931. "dur": 9,
  90932. "args": {
  90933. "name": "group_deps",
  90934. "op": "NoOp",
  90935. "input0": "^batch_normalization_1/AssignMovingAvg_1/AssignSubVariableOp",
  90936. "input1": "^tower_1/training/group_deps/_1653",
  90937. "input2": "^tower_2/training/group_deps/_1657",
  90938. "input3": "^tower_3/training/group_deps/_1661",
  90939. "input4": "^batch_normalization_2/AssignMovingAvg/AssignSubVariableOp",
  90940. "input5": "^batch_normalization_2/AssignMovingAvg_1/AssignSubVariableOp",
  90941. "input6": "^batch_normalization/AssignMovingAvg/AssignSubVariableOp",
  90942. "input7": "^batch_normalization/AssignMovingAvg_1/AssignSubVariableOp",
  90943. "input8": "^batch_normalization_1/AssignMovingAvg/AssignSubVariableOp"
  90944. }
  90945. },
  90946. {
  90947. "ph": "X",
  90948. "cat": "Op",
  90949. "name": "Conv2D",
  90950. "pid": 43,
  90951. "tid": 0,
  90952. "ts": 1539815916904677,
  90953. "dur": 21,
  90954. "args": {
  90955. "name": "conv2d/Conv2D",
  90956. "op": "Conv2D"
  90957. }
  90958. },
  90959. {
  90960. "ph": "X",
  90961. "cat": "Op",
  90962. "name": "Conv2D",
  90963. "pid": 43,
  90964. "tid": 0,
  90965. "ts": 1539815916905780,
  90966. "dur": 21,
  90967. "args": {
  90968. "name": "conv2d/Conv2D",
  90969. "op": "Conv2D"
  90970. }
  90971. },
  90972. {
  90973. "ph": "X",
  90974. "cat": "Op",
  90975. "name": "Conv2D",
  90976. "pid": 43,
  90977. "tid": 0,
  90978. "ts": 1539815916906212,
  90979. "dur": 21,
  90980. "args": {
  90981. "name": "conv2d/Conv2D",
  90982. "op": "Conv2D"
  90983. }
  90984. },
  90985. {
  90986. "ph": "X",
  90987. "cat": "Op",
  90988. "name": "Conv2D",
  90989. "pid": 43,
  90990. "tid": 0,
  90991. "ts": 1539815916906949,
  90992. "dur": 112,
  90993. "args": {
  90994. "name": "conv2d/Conv2D",
  90995. "op": "Conv2D"
  90996. }
  90997. },
  90998. {
  90999. "ph": "X",
  91000. "cat": "Op",
  91001. "name": "Conv2D",
  91002. "pid": 43,
  91003. "tid": 0,
  91004. "ts": 1539815916907066,
  91005. "dur": 184,
  91006. "args": {
  91007. "name": "conv2d/Conv2D",
  91008. "op": "Conv2D"
  91009. }
  91010. },
  91011. {
  91012. "ph": "X",
  91013. "cat": "Op",
  91014. "name": "Conv2D",
  91015. "pid": 43,
  91016. "tid": 0,
  91017. "ts": 1539815916907351,
  91018. "dur": 21,
  91019. "args": {
  91020. "name": "conv2d/Conv2D",
  91021. "op": "Conv2D"
  91022. }
  91023. },
  91024. {
  91025. "ph": "X",
  91026. "cat": "Op",
  91027. "name": "Conv2D",
  91028. "pid": 43,
  91029. "tid": 0,
  91030. "ts": 1539815916907383,
  91031. "dur": 111,
  91032. "args": {
  91033. "name": "conv2d/Conv2D",
  91034. "op": "Conv2D"
  91035. }
  91036. },
  91037. {
  91038. "ph": "X",
  91039. "cat": "Op",
  91040. "name": "Conv2D",
  91041. "pid": 43,
  91042. "tid": 0,
  91043. "ts": 1539815916907498,
  91044. "dur": 188,
  91045. "args": {
  91046. "name": "conv2d/Conv2D",
  91047. "op": "Conv2D"
  91048. }
  91049. },
  91050. {
  91051. "ph": "X",
  91052. "cat": "Op",
  91053. "name": "Conv2D",
  91054. "pid": 43,
  91055. "tid": 0,
  91056. "ts": 1539815916932019,
  91057. "dur": 161,
  91058. "args": {
  91059. "name": "conv2d_1/Conv2D",
  91060. "op": "Conv2D"
  91061. }
  91062. },
  91063. {
  91064. "ph": "X",
  91065. "cat": "Op",
  91066. "name": "Conv2D",
  91067. "pid": 43,
  91068. "tid": 0,
  91069. "ts": 1539815916933364,
  91070. "dur": 156,
  91071. "args": {
  91072. "name": "conv2d_1/Conv2D",
  91073. "op": "Conv2D"
  91074. }
  91075. },
  91076. {
  91077. "ph": "X",
  91078. "cat": "Op",
  91079. "name": "Conv2D",
  91080. "pid": 43,
  91081. "tid": 0,
  91082. "ts": 1539815916934713,
  91083. "dur": 162,
  91084. "args": {
  91085. "name": "conv2d_1/Conv2D",
  91086. "op": "Conv2D"
  91087. }
  91088. },
  91089. {
  91090. "ph": "X",
  91091. "cat": "Op",
  91092. "name": "Conv2D",
  91093. "pid": 43,
  91094. "tid": 0,
  91095. "ts": 1539815916934885,
  91096. "dur": 643,
  91097. "args": {
  91098. "name": "conv2d_1/Conv2D",
  91099. "op": "Conv2D"
  91100. }
  91101. },
  91102. {
  91103. "ph": "X",
  91104. "cat": "Op",
  91105. "name": "Conv2D",
  91106. "pid": 43,
  91107. "tid": 0,
  91108. "ts": 1539815916935531,
  91109. "dur": 264,
  91110. "args": {
  91111. "name": "conv2d_1/Conv2D",
  91112. "op": "Conv2D"
  91113. }
  91114. },
  91115. {
  91116. "ph": "X",
  91117. "cat": "Op",
  91118. "name": "Conv2D",
  91119. "pid": 43,
  91120. "tid": 0,
  91121. "ts": 1539815916935925,
  91122. "dur": 166,
  91123. "args": {
  91124. "name": "conv2d_1/Conv2D",
  91125. "op": "Conv2D"
  91126. }
  91127. },
  91128. {
  91129. "ph": "X",
  91130. "cat": "Op",
  91131. "name": "Conv2D",
  91132. "pid": 43,
  91133. "tid": 0,
  91134. "ts": 1539815916936101,
  91135. "dur": 648,
  91136. "args": {
  91137. "name": "conv2d_1/Conv2D",
  91138. "op": "Conv2D"
  91139. }
  91140. },
  91141. {
  91142. "ph": "X",
  91143. "cat": "Op",
  91144. "name": "Conv2D",
  91145. "pid": 43,
  91146. "tid": 0,
  91147. "ts": 1539815916936752,
  91148. "dur": 263,
  91149. "args": {
  91150. "name": "conv2d_1/Conv2D",
  91151. "op": "Conv2D"
  91152. }
  91153. },
  91154. {
  91155. "ph": "X",
  91156. "cat": "Op",
  91157. "name": "Conv2D",
  91158. "pid": 43,
  91159. "tid": 0,
  91160. "ts": 1539815916952242,
  91161. "dur": 70,
  91162. "args": {
  91163. "name": "conv2d_2/Conv2D",
  91164. "op": "Conv2D"
  91165. }
  91166. },
  91167. {
  91168. "ph": "X",
  91169. "cat": "Op",
  91170. "name": "Conv2D",
  91171. "pid": 43,
  91172. "tid": 0,
  91173. "ts": 1539815916953439,
  91174. "dur": 70,
  91175. "args": {
  91176. "name": "conv2d_2/Conv2D",
  91177. "op": "Conv2D"
  91178. }
  91179. },
  91180. {
  91181. "ph": "X",
  91182. "cat": "Op",
  91183. "name": "Conv2D",
  91184. "pid": 43,
  91185. "tid": 0,
  91186. "ts": 1539815916954832,
  91187. "dur": 252,
  91188. "args": {
  91189. "name": "conv2d_2/Conv2D",
  91190. "op": "Conv2D"
  91191. }
  91192. },
  91193. {
  91194. "ph": "X",
  91195. "cat": "Op",
  91196. "name": "Conv2D",
  91197. "pid": 43,
  91198. "tid": 0,
  91199. "ts": 1539815916955096,
  91200. "dur": 2306,
  91201. "args": {
  91202. "name": "conv2d_2/Conv2D",
  91203. "op": "Conv2D"
  91204. }
  91205. },
  91206. {
  91207. "ph": "X",
  91208. "cat": "Op",
  91209. "name": "Conv2D",
  91210. "pid": 43,
  91211. "tid": 0,
  91212. "ts": 1539815916957405,
  91213. "dur": 445,
  91214. "args": {
  91215. "name": "conv2d_2/Conv2D",
  91216. "op": "Conv2D"
  91217. }
  91218. },
  91219. {
  91220. "ph": "X",
  91221. "cat": "Op",
  91222. "name": "Conv2D",
  91223. "pid": 43,
  91224. "tid": 0,
  91225. "ts": 1539815916958142,
  91226. "dur": 254,
  91227. "args": {
  91228. "name": "conv2d_2/Conv2D",
  91229. "op": "Conv2D"
  91230. }
  91231. },
  91232. {
  91233. "ph": "X",
  91234. "cat": "Op",
  91235. "name": "Conv2D",
  91236. "pid": 43,
  91237. "tid": 0,
  91238. "ts": 1539815916958406,
  91239. "dur": 2315,
  91240. "args": {
  91241. "name": "conv2d_2/Conv2D",
  91242. "op": "Conv2D"
  91243. }
  91244. },
  91245. {
  91246. "ph": "X",
  91247. "cat": "Op",
  91248. "name": "Conv2D",
  91249. "pid": 43,
  91250. "tid": 0,
  91251. "ts": 1539815916960724,
  91252. "dur": 445,
  91253. "args": {
  91254. "name": "conv2d_2/Conv2D",
  91255. "op": "Conv2D"
  91256. }
  91257. },
  91258. {
  91259. "ph": "X",
  91260. "cat": "Op",
  91261. "name": "Conv2DBackpropFilter",
  91262. "pid": 43,
  91263. "tid": 0,
  91264. "ts": 1539815917006767,
  91265. "dur": 75,
  91266. "args": {
  91267. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  91268. "op": "Conv2DBackpropFilter"
  91269. }
  91270. },
  91271. {
  91272. "ph": "X",
  91273. "cat": "Op",
  91274. "name": "Conv2DBackpropFilter",
  91275. "pid": 43,
  91276. "tid": 0,
  91277. "ts": 1539815917008040,
  91278. "dur": 76,
  91279. "args": {
  91280. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  91281. "op": "Conv2DBackpropFilter"
  91282. }
  91283. },
  91284. {
  91285. "ph": "X",
  91286. "cat": "Op",
  91287. "name": "Conv2DBackpropInput",
  91288. "pid": 43,
  91289. "tid": 0,
  91290. "ts": 1539815917025519,
  91291. "dur": 129,
  91292. "args": {
  91293. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  91294. "op": "Conv2DBackpropInput"
  91295. }
  91296. },
  91297. {
  91298. "ph": "X",
  91299. "cat": "Op",
  91300. "name": "Conv2DBackpropInput",
  91301. "pid": 43,
  91302. "tid": 0,
  91303. "ts": 1539815917026664,
  91304. "dur": 128,
  91305. "args": {
  91306. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  91307. "op": "Conv2DBackpropInput"
  91308. }
  91309. },
  91310. {
  91311. "ph": "X",
  91312. "cat": "Op",
  91313. "name": "Conv2DBackpropInput",
  91314. "pid": 43,
  91315. "tid": 0,
  91316. "ts": 1539815917027970,
  91317. "dur": 486,
  91318. "args": {
  91319. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  91320. "op": "Conv2DBackpropInput"
  91321. }
  91322. },
  91323. {
  91324. "ph": "X",
  91325. "cat": "Op",
  91326. "name": "Conv2DBackpropInput",
  91327. "pid": 43,
  91328. "tid": 0,
  91329. "ts": 1539815917028468,
  91330. "dur": 2263,
  91331. "args": {
  91332. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  91333. "op": "Conv2DBackpropInput"
  91334. }
  91335. },
  91336. {
  91337. "ph": "X",
  91338. "cat": "Op",
  91339. "name": "Conv2DBackpropInput",
  91340. "pid": 43,
  91341. "tid": 0,
  91342. "ts": 1539815917030734,
  91343. "dur": 235,
  91344. "args": {
  91345. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  91346. "op": "Conv2DBackpropInput"
  91347. }
  91348. },
  91349. {
  91350. "ph": "X",
  91351. "cat": "Op",
  91352. "name": "Conv2DBackpropInput",
  91353. "pid": 43,
  91354. "tid": 0,
  91355. "ts": 1539815917031244,
  91356. "dur": 485,
  91357. "args": {
  91358. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  91359. "op": "Conv2DBackpropInput"
  91360. }
  91361. },
  91362. {
  91363. "ph": "X",
  91364. "cat": "Op",
  91365. "name": "Conv2DBackpropInput",
  91366. "pid": 43,
  91367. "tid": 0,
  91368. "ts": 1539815917031739,
  91369. "dur": 2266,
  91370. "args": {
  91371. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  91372. "op": "Conv2DBackpropInput"
  91373. }
  91374. },
  91375. {
  91376. "ph": "X",
  91377. "cat": "Op",
  91378. "name": "Conv2DBackpropInput",
  91379. "pid": 43,
  91380. "tid": 0,
  91381. "ts": 1539815917034010,
  91382. "dur": 235,
  91383. "args": {
  91384. "name": "training/TFOptimizer/gradients/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  91385. "op": "Conv2DBackpropInput"
  91386. }
  91387. },
  91388. {
  91389. "ph": "X",
  91390. "cat": "Op",
  91391. "name": "Conv2DBackpropFilter",
  91392. "pid": 43,
  91393. "tid": 0,
  91394. "ts": 1539815917047041,
  91395. "dur": 167,
  91396. "args": {
  91397. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  91398. "op": "Conv2DBackpropFilter"
  91399. }
  91400. },
  91401. {
  91402. "ph": "X",
  91403. "cat": "Op",
  91404. "name": "Conv2DBackpropFilter",
  91405. "pid": 43,
  91406. "tid": 0,
  91407. "ts": 1539815917048545,
  91408. "dur": 167,
  91409. "args": {
  91410. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  91411. "op": "Conv2DBackpropFilter"
  91412. }
  91413. },
  91414. {
  91415. "ph": "X",
  91416. "cat": "Op",
  91417. "name": "Conv2DBackpropInput",
  91418. "pid": 43,
  91419. "tid": 0,
  91420. "ts": 1539815917065671,
  91421. "dur": 305,
  91422. "args": {
  91423. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  91424. "op": "Conv2DBackpropInput"
  91425. }
  91426. },
  91427. {
  91428. "ph": "X",
  91429. "cat": "Op",
  91430. "name": "Conv2DBackpropInput",
  91431. "pid": 43,
  91432. "tid": 0,
  91433. "ts": 1539815917066942,
  91434. "dur": 303,
  91435. "args": {
  91436. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  91437. "op": "Conv2DBackpropInput"
  91438. }
  91439. },
  91440. {
  91441. "ph": "X",
  91442. "cat": "Op",
  91443. "name": "Conv2DBackpropInput",
  91444. "pid": 43,
  91445. "tid": 0,
  91446. "ts": 1539815917068203,
  91447. "dur": 304,
  91448. "args": {
  91449. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  91450. "op": "Conv2DBackpropInput"
  91451. }
  91452. },
  91453. {
  91454. "ph": "X",
  91455. "cat": "Op",
  91456. "name": "Conv2DBackpropInput",
  91457. "pid": 43,
  91458. "tid": 0,
  91459. "ts": 1539815917068518,
  91460. "dur": 558,
  91461. "args": {
  91462. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  91463. "op": "Conv2DBackpropInput"
  91464. }
  91465. },
  91466. {
  91467. "ph": "X",
  91468. "cat": "Op",
  91469. "name": "Conv2DBackpropInput",
  91470. "pid": 43,
  91471. "tid": 0,
  91472. "ts": 1539815917069079,
  91473. "dur": 142,
  91474. "args": {
  91475. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  91476. "op": "Conv2DBackpropInput"
  91477. }
  91478. },
  91479. {
  91480. "ph": "X",
  91481. "cat": "Op",
  91482. "name": "Conv2DBackpropInput",
  91483. "pid": 43,
  91484. "tid": 0,
  91485. "ts": 1539815917069339,
  91486. "dur": 300,
  91487. "args": {
  91488. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  91489. "op": "Conv2DBackpropInput"
  91490. }
  91491. },
  91492. {
  91493. "ph": "X",
  91494. "cat": "Op",
  91495. "name": "Conv2DBackpropInput",
  91496. "pid": 43,
  91497. "tid": 0,
  91498. "ts": 1539815917069649,
  91499. "dur": 559,
  91500. "args": {
  91501. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  91502. "op": "Conv2DBackpropInput"
  91503. }
  91504. },
  91505. {
  91506. "ph": "X",
  91507. "cat": "Op",
  91508. "name": "Conv2DBackpropInput",
  91509. "pid": 43,
  91510. "tid": 0,
  91511. "ts": 1539815917070211,
  91512. "dur": 141,
  91513. "args": {
  91514. "name": "training/TFOptimizer/gradients/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  91515. "op": "Conv2DBackpropInput"
  91516. }
  91517. },
  91518. {
  91519. "ph": "X",
  91520. "cat": "Op",
  91521. "name": "Conv2DBackpropFilter",
  91522. "pid": 43,
  91523. "tid": 0,
  91524. "ts": 1539815917076745,
  91525. "dur": 20,
  91526. "args": {
  91527. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  91528. "op": "Conv2DBackpropFilter"
  91529. }
  91530. },
  91531. {
  91532. "ph": "X",
  91533. "cat": "Op",
  91534. "name": "Conv2DBackpropFilter",
  91535. "pid": 43,
  91536. "tid": 0,
  91537. "ts": 1539815917077835,
  91538. "dur": 20,
  91539. "args": {
  91540. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  91541. "op": "Conv2DBackpropFilter"
  91542. }
  91543. },
  91544. {
  91545. "ph": "X",
  91546. "cat": "Op",
  91547. "name": "Conv2DBackpropInput",
  91548. "pid": 43,
  91549. "tid": 0,
  91550. "ts": 1539815917090505,
  91551. "dur": 189,
  91552. "args": {
  91553. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  91554. "op": "Conv2DBackpropInput"
  91555. }
  91556. },
  91557. {
  91558. "ph": "X",
  91559. "cat": "Op",
  91560. "name": "Conv2DBackpropInput",
  91561. "pid": 43,
  91562. "tid": 0,
  91563. "ts": 1539815917091138,
  91564. "dur": 191,
  91565. "args": {
  91566. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  91567. "op": "Conv2DBackpropInput"
  91568. }
  91569. },
  91570. {
  91571. "ph": "X",
  91572. "cat": "Op",
  91573. "name": "Conv2DBackpropInput",
  91574. "pid": 43,
  91575. "tid": 0,
  91576. "ts": 1539815917091775,
  91577. "dur": 191,
  91578. "args": {
  91579. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  91580. "op": "Conv2DBackpropInput"
  91581. }
  91582. },
  91583. {
  91584. "ph": "X",
  91585. "cat": "Op",
  91586. "name": "Conv2DBackpropInput",
  91587. "pid": 43,
  91588. "tid": 0,
  91589. "ts": 1539815917091976,
  91590. "dur": 272,
  91591. "args": {
  91592. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  91593. "op": "Conv2DBackpropInput"
  91594. }
  91595. },
  91596. {
  91597. "ph": "X",
  91598. "cat": "Op",
  91599. "name": "Conv2DBackpropInput",
  91600. "pid": 43,
  91601. "tid": 0,
  91602. "ts": 1539815917092251,
  91603. "dur": 18,
  91604. "args": {
  91605. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  91606. "op": "Conv2DBackpropInput"
  91607. }
  91608. },
  91609. {
  91610. "ph": "X",
  91611. "cat": "Op",
  91612. "name": "Conv2DBackpropInput",
  91613. "pid": 43,
  91614. "tid": 0,
  91615. "ts": 1539815917092337,
  91616. "dur": 189,
  91617. "args": {
  91618. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  91619. "op": "Conv2DBackpropInput"
  91620. }
  91621. },
  91622. {
  91623. "ph": "X",
  91624. "cat": "Op",
  91625. "name": "Conv2DBackpropInput",
  91626. "pid": 43,
  91627. "tid": 0,
  91628. "ts": 1539815917092537,
  91629. "dur": 274,
  91630. "args": {
  91631. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  91632. "op": "Conv2DBackpropInput"
  91633. }
  91634. },
  91635. {
  91636. "ph": "X",
  91637. "cat": "Op",
  91638. "name": "Conv2DBackpropInput",
  91639. "pid": 43,
  91640. "tid": 0,
  91641. "ts": 1539815917092815,
  91642. "dur": 18,
  91643. "args": {
  91644. "name": "training/TFOptimizer/gradients/conv2d/Conv2D_grad/Conv2DBackpropInput",
  91645. "op": "Conv2DBackpropInput"
  91646. }
  91647. },
  91648. {
  91649. "ph": "X",
  91650. "cat": "Op",
  91651. "name": "Conv2D",
  91652. "pid": 45,
  91653. "tid": 0,
  91654. "ts": 1539815916904602,
  91655. "dur": 22,
  91656. "args": {
  91657. "name": "tower_1/conv2d/Conv2D",
  91658. "op": "Conv2D"
  91659. }
  91660. },
  91661. {
  91662. "ph": "X",
  91663. "cat": "Op",
  91664. "name": "Conv2D",
  91665. "pid": 45,
  91666. "tid": 0,
  91667. "ts": 1539815916905800,
  91668. "dur": 21,
  91669. "args": {
  91670. "name": "tower_1/conv2d/Conv2D",
  91671. "op": "Conv2D"
  91672. }
  91673. },
  91674. {
  91675. "ph": "X",
  91676. "cat": "Op",
  91677. "name": "Conv2D",
  91678. "pid": 45,
  91679. "tid": 0,
  91680. "ts": 1539815916906230,
  91681. "dur": 21,
  91682. "args": {
  91683. "name": "tower_1/conv2d/Conv2D",
  91684. "op": "Conv2D"
  91685. }
  91686. },
  91687. {
  91688. "ph": "X",
  91689. "cat": "Op",
  91690. "name": "Conv2D",
  91691. "pid": 45,
  91692. "tid": 0,
  91693. "ts": 1539815916906961,
  91694. "dur": 113,
  91695. "args": {
  91696. "name": "tower_1/conv2d/Conv2D",
  91697. "op": "Conv2D"
  91698. }
  91699. },
  91700. {
  91701. "ph": "X",
  91702. "cat": "Op",
  91703. "name": "Conv2D",
  91704. "pid": 45,
  91705. "tid": 0,
  91706. "ts": 1539815916907077,
  91707. "dur": 192,
  91708. "args": {
  91709. "name": "tower_1/conv2d/Conv2D",
  91710. "op": "Conv2D"
  91711. }
  91712. },
  91713. {
  91714. "ph": "X",
  91715. "cat": "Op",
  91716. "name": "Conv2D",
  91717. "pid": 45,
  91718. "tid": 0,
  91719. "ts": 1539815916907355,
  91720. "dur": 22,
  91721. "args": {
  91722. "name": "tower_1/conv2d/Conv2D",
  91723. "op": "Conv2D"
  91724. }
  91725. },
  91726. {
  91727. "ph": "X",
  91728. "cat": "Op",
  91729. "name": "Conv2D",
  91730. "pid": 45,
  91731. "tid": 0,
  91732. "ts": 1539815916907389,
  91733. "dur": 111,
  91734. "args": {
  91735. "name": "tower_1/conv2d/Conv2D",
  91736. "op": "Conv2D"
  91737. }
  91738. },
  91739. {
  91740. "ph": "X",
  91741. "cat": "Op",
  91742. "name": "Conv2D",
  91743. "pid": 45,
  91744. "tid": 0,
  91745. "ts": 1539815916907503,
  91746. "dur": 183,
  91747. "args": {
  91748. "name": "tower_1/conv2d/Conv2D",
  91749. "op": "Conv2D"
  91750. }
  91751. },
  91752. {
  91753. "ph": "X",
  91754. "cat": "Op",
  91755. "name": "Conv2D",
  91756. "pid": 45,
  91757. "tid": 0,
  91758. "ts": 1539815916932340,
  91759. "dur": 162,
  91760. "args": {
  91761. "name": "tower_1/conv2d_1/Conv2D",
  91762. "op": "Conv2D"
  91763. }
  91764. },
  91765. {
  91766. "ph": "X",
  91767. "cat": "Op",
  91768. "name": "Conv2D",
  91769. "pid": 45,
  91770. "tid": 0,
  91771. "ts": 1539815916933688,
  91772. "dur": 158,
  91773. "args": {
  91774. "name": "tower_1/conv2d_1/Conv2D",
  91775. "op": "Conv2D"
  91776. }
  91777. },
  91778. {
  91779. "ph": "X",
  91780. "cat": "Op",
  91781. "name": "Conv2D",
  91782. "pid": 45,
  91783. "tid": 0,
  91784. "ts": 1539815916935043,
  91785. "dur": 169,
  91786. "args": {
  91787. "name": "tower_1/conv2d_1/Conv2D",
  91788. "op": "Conv2D"
  91789. }
  91790. },
  91791. {
  91792. "ph": "X",
  91793. "cat": "Op",
  91794. "name": "Conv2D",
  91795. "pid": 45,
  91796. "tid": 0,
  91797. "ts": 1539815916935224,
  91798. "dur": 647,
  91799. "args": {
  91800. "name": "tower_1/conv2d_1/Conv2D",
  91801. "op": "Conv2D"
  91802. }
  91803. },
  91804. {
  91805. "ph": "X",
  91806. "cat": "Op",
  91807. "name": "Conv2D",
  91808. "pid": 45,
  91809. "tid": 0,
  91810. "ts": 1539815916935874,
  91811. "dur": 263,
  91812. "args": {
  91813. "name": "tower_1/conv2d_1/Conv2D",
  91814. "op": "Conv2D"
  91815. }
  91816. },
  91817. {
  91818. "ph": "X",
  91819. "cat": "Op",
  91820. "name": "Conv2D",
  91821. "pid": 45,
  91822. "tid": 0,
  91823. "ts": 1539815916936264,
  91824. "dur": 162,
  91825. "args": {
  91826. "name": "tower_1/conv2d_1/Conv2D",
  91827. "op": "Conv2D"
  91828. }
  91829. },
  91830. {
  91831. "ph": "X",
  91832. "cat": "Op",
  91833. "name": "Conv2D",
  91834. "pid": 45,
  91835. "tid": 0,
  91836. "ts": 1539815916936438,
  91837. "dur": 645,
  91838. "args": {
  91839. "name": "tower_1/conv2d_1/Conv2D",
  91840. "op": "Conv2D"
  91841. }
  91842. },
  91843. {
  91844. "ph": "X",
  91845. "cat": "Op",
  91846. "name": "Conv2D",
  91847. "pid": 45,
  91848. "tid": 0,
  91849. "ts": 1539815916937086,
  91850. "dur": 261,
  91851. "args": {
  91852. "name": "tower_1/conv2d_1/Conv2D",
  91853. "op": "Conv2D"
  91854. }
  91855. },
  91856. {
  91857. "ph": "X",
  91858. "cat": "Op",
  91859. "name": "Conv2D",
  91860. "pid": 45,
  91861. "tid": 0,
  91862. "ts": 1539815916953228,
  91863. "dur": 71,
  91864. "args": {
  91865. "name": "tower_1/conv2d_2/Conv2D",
  91866. "op": "Conv2D"
  91867. }
  91868. },
  91869. {
  91870. "ph": "X",
  91871. "cat": "Op",
  91872. "name": "Conv2D",
  91873. "pid": 45,
  91874. "tid": 0,
  91875. "ts": 1539815916954425,
  91876. "dur": 71,
  91877. "args": {
  91878. "name": "tower_1/conv2d_2/Conv2D",
  91879. "op": "Conv2D"
  91880. }
  91881. },
  91882. {
  91883. "ph": "X",
  91884. "cat": "Op",
  91885. "name": "Conv2D",
  91886. "pid": 45,
  91887. "tid": 0,
  91888. "ts": 1539815916955822,
  91889. "dur": 258,
  91890. "args": {
  91891. "name": "tower_1/conv2d_2/Conv2D",
  91892. "op": "Conv2D"
  91893. }
  91894. },
  91895. {
  91896. "ph": "X",
  91897. "cat": "Op",
  91898. "name": "Conv2D",
  91899. "pid": 45,
  91900. "tid": 0,
  91901. "ts": 1539815916956090,
  91902. "dur": 2313,
  91903. "args": {
  91904. "name": "tower_1/conv2d_2/Conv2D",
  91905. "op": "Conv2D"
  91906. }
  91907. },
  91908. {
  91909. "ph": "X",
  91910. "cat": "Op",
  91911. "name": "Conv2D",
  91912. "pid": 45,
  91913. "tid": 0,
  91914. "ts": 1539815916958406,
  91915. "dur": 448,
  91916. "args": {
  91917. "name": "tower_1/conv2d_2/Conv2D",
  91918. "op": "Conv2D"
  91919. }
  91920. },
  91921. {
  91922. "ph": "X",
  91923. "cat": "Op",
  91924. "name": "Conv2D",
  91925. "pid": 45,
  91926. "tid": 0,
  91927. "ts": 1539815916959151,
  91928. "dur": 255,
  91929. "args": {
  91930. "name": "tower_1/conv2d_2/Conv2D",
  91931. "op": "Conv2D"
  91932. }
  91933. },
  91934. {
  91935. "ph": "X",
  91936. "cat": "Op",
  91937. "name": "Conv2D",
  91938. "pid": 45,
  91939. "tid": 0,
  91940. "ts": 1539815916959418,
  91941. "dur": 2313,
  91942. "args": {
  91943. "name": "tower_1/conv2d_2/Conv2D",
  91944. "op": "Conv2D"
  91945. }
  91946. },
  91947. {
  91948. "ph": "X",
  91949. "cat": "Op",
  91950. "name": "Conv2D",
  91951. "pid": 45,
  91952. "tid": 0,
  91953. "ts": 1539815916961734,
  91954. "dur": 450,
  91955. "args": {
  91956. "name": "tower_1/conv2d_2/Conv2D",
  91957. "op": "Conv2D"
  91958. }
  91959. },
  91960. {
  91961. "ph": "X",
  91962. "cat": "Op",
  91963. "name": "Conv2DBackpropFilter",
  91964. "pid": 45,
  91965. "tid": 0,
  91966. "ts": 1539815917006790,
  91967. "dur": 77,
  91968. "args": {
  91969. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  91970. "op": "Conv2DBackpropFilter"
  91971. }
  91972. },
  91973. {
  91974. "ph": "X",
  91975. "cat": "Op",
  91976. "name": "Conv2DBackpropFilter",
  91977. "pid": 45,
  91978. "tid": 0,
  91979. "ts": 1539815917008067,
  91980. "dur": 78,
  91981. "args": {
  91982. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  91983. "op": "Conv2DBackpropFilter"
  91984. }
  91985. },
  91986. {
  91987. "ph": "X",
  91988. "cat": "Op",
  91989. "name": "Conv2DBackpropInput",
  91990. "pid": 45,
  91991. "tid": 0,
  91992. "ts": 1539815917025547,
  91993. "dur": 129,
  91994. "args": {
  91995. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  91996. "op": "Conv2DBackpropInput"
  91997. }
  91998. },
  91999. {
  92000. "ph": "X",
  92001. "cat": "Op",
  92002. "name": "Conv2DBackpropInput",
  92003. "pid": 45,
  92004. "tid": 0,
  92005. "ts": 1539815917026694,
  92006. "dur": 129,
  92007. "args": {
  92008. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  92009. "op": "Conv2DBackpropInput"
  92010. }
  92011. },
  92012. {
  92013. "ph": "X",
  92014. "cat": "Op",
  92015. "name": "Conv2DBackpropInput",
  92016. "pid": 45,
  92017. "tid": 0,
  92018. "ts": 1539815917027997,
  92019. "dur": 489,
  92020. "args": {
  92021. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  92022. "op": "Conv2DBackpropInput"
  92023. }
  92024. },
  92025. {
  92026. "ph": "X",
  92027. "cat": "Op",
  92028. "name": "Conv2DBackpropInput",
  92029. "pid": 45,
  92030. "tid": 0,
  92031. "ts": 1539815917028496,
  92032. "dur": 2266,
  92033. "args": {
  92034. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  92035. "op": "Conv2DBackpropInput"
  92036. }
  92037. },
  92038. {
  92039. "ph": "X",
  92040. "cat": "Op",
  92041. "name": "Conv2DBackpropInput",
  92042. "pid": 45,
  92043. "tid": 0,
  92044. "ts": 1539815917030765,
  92045. "dur": 235,
  92046. "args": {
  92047. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  92048. "op": "Conv2DBackpropInput"
  92049. }
  92050. },
  92051. {
  92052. "ph": "X",
  92053. "cat": "Op",
  92054. "name": "Conv2DBackpropInput",
  92055. "pid": 45,
  92056. "tid": 0,
  92057. "ts": 1539815917031282,
  92058. "dur": 487,
  92059. "args": {
  92060. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  92061. "op": "Conv2DBackpropInput"
  92062. }
  92063. },
  92064. {
  92065. "ph": "X",
  92066. "cat": "Op",
  92067. "name": "Conv2DBackpropInput",
  92068. "pid": 45,
  92069. "tid": 0,
  92070. "ts": 1539815917031778,
  92071. "dur": 2266,
  92072. "args": {
  92073. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  92074. "op": "Conv2DBackpropInput"
  92075. }
  92076. },
  92077. {
  92078. "ph": "X",
  92079. "cat": "Op",
  92080. "name": "Conv2DBackpropInput",
  92081. "pid": 45,
  92082. "tid": 0,
  92083. "ts": 1539815917034047,
  92084. "dur": 232,
  92085. "args": {
  92086. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  92087. "op": "Conv2DBackpropInput"
  92088. }
  92089. },
  92090. {
  92091. "ph": "X",
  92092. "cat": "Op",
  92093. "name": "Conv2DBackpropFilter",
  92094. "pid": 45,
  92095. "tid": 0,
  92096. "ts": 1539815917047070,
  92097. "dur": 168,
  92098. "args": {
  92099. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  92100. "op": "Conv2DBackpropFilter"
  92101. }
  92102. },
  92103. {
  92104. "ph": "X",
  92105. "cat": "Op",
  92106. "name": "Conv2DBackpropFilter",
  92107. "pid": 45,
  92108. "tid": 0,
  92109. "ts": 1539815917048584,
  92110. "dur": 164,
  92111. "args": {
  92112. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  92113. "op": "Conv2DBackpropFilter"
  92114. }
  92115. },
  92116. {
  92117. "ph": "X",
  92118. "cat": "Op",
  92119. "name": "Conv2DBackpropInput",
  92120. "pid": 45,
  92121. "tid": 0,
  92122. "ts": 1539815917066716,
  92123. "dur": 317,
  92124. "args": {
  92125. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  92126. "op": "Conv2DBackpropInput"
  92127. }
  92128. },
  92129. {
  92130. "ph": "X",
  92131. "cat": "Op",
  92132. "name": "Conv2DBackpropInput",
  92133. "pid": 45,
  92134. "tid": 0,
  92135. "ts": 1539815917068069,
  92136. "dur": 316,
  92137. "args": {
  92138. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  92139. "op": "Conv2DBackpropInput"
  92140. }
  92141. },
  92142. {
  92143. "ph": "X",
  92144. "cat": "Op",
  92145. "name": "Conv2DBackpropInput",
  92146. "pid": 45,
  92147. "tid": 0,
  92148. "ts": 1539815917069434,
  92149. "dur": 317,
  92150. "args": {
  92151. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  92152. "op": "Conv2DBackpropInput"
  92153. }
  92154. },
  92155. {
  92156. "ph": "X",
  92157. "cat": "Op",
  92158. "name": "Conv2DBackpropInput",
  92159. "pid": 45,
  92160. "tid": 0,
  92161. "ts": 1539815917069761,
  92162. "dur": 607,
  92163. "args": {
  92164. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  92165. "op": "Conv2DBackpropInput"
  92166. }
  92167. },
  92168. {
  92169. "ph": "X",
  92170. "cat": "Op",
  92171. "name": "Conv2DBackpropInput",
  92172. "pid": 45,
  92173. "tid": 0,
  92174. "ts": 1539815917070372,
  92175. "dur": 145,
  92176. "args": {
  92177. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  92178. "op": "Conv2DBackpropInput"
  92179. }
  92180. },
  92181. {
  92182. "ph": "X",
  92183. "cat": "Op",
  92184. "name": "Conv2DBackpropInput",
  92185. "pid": 45,
  92186. "tid": 0,
  92187. "ts": 1539815917070641,
  92188. "dur": 316,
  92189. "args": {
  92190. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  92191. "op": "Conv2DBackpropInput"
  92192. }
  92193. },
  92194. {
  92195. "ph": "X",
  92196. "cat": "Op",
  92197. "name": "Conv2DBackpropInput",
  92198. "pid": 45,
  92199. "tid": 0,
  92200. "ts": 1539815917070966,
  92201. "dur": 610,
  92202. "args": {
  92203. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  92204. "op": "Conv2DBackpropInput"
  92205. }
  92206. },
  92207. {
  92208. "ph": "X",
  92209. "cat": "Op",
  92210. "name": "Conv2DBackpropInput",
  92211. "pid": 45,
  92212. "tid": 0,
  92213. "ts": 1539815917071580,
  92214. "dur": 146,
  92215. "args": {
  92216. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  92217. "op": "Conv2DBackpropInput"
  92218. }
  92219. },
  92220. {
  92221. "ph": "X",
  92222. "cat": "Op",
  92223. "name": "Conv2DBackpropFilter",
  92224. "pid": 45,
  92225. "tid": 0,
  92226. "ts": 1539815917078546,
  92227. "dur": 21,
  92228. "args": {
  92229. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  92230. "op": "Conv2DBackpropFilter"
  92231. }
  92232. },
  92233. {
  92234. "ph": "X",
  92235. "cat": "Op",
  92236. "name": "Conv2DBackpropFilter",
  92237. "pid": 45,
  92238. "tid": 0,
  92239. "ts": 1539815917079729,
  92240. "dur": 20,
  92241. "args": {
  92242. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  92243. "op": "Conv2DBackpropFilter"
  92244. }
  92245. },
  92246. {
  92247. "ph": "X",
  92248. "cat": "Op",
  92249. "name": "Conv2DBackpropInput",
  92250. "pid": 45,
  92251. "tid": 0,
  92252. "ts": 1539815917092603,
  92253. "dur": 185,
  92254. "args": {
  92255. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  92256. "op": "Conv2DBackpropInput"
  92257. }
  92258. },
  92259. {
  92260. "ph": "X",
  92261. "cat": "Op",
  92262. "name": "Conv2DBackpropInput",
  92263. "pid": 45,
  92264. "tid": 0,
  92265. "ts": 1539815917093233,
  92266. "dur": 189,
  92267. "args": {
  92268. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  92269. "op": "Conv2DBackpropInput"
  92270. }
  92271. },
  92272. {
  92273. "ph": "X",
  92274. "cat": "Op",
  92275. "name": "Conv2DBackpropInput",
  92276. "pid": 45,
  92277. "tid": 0,
  92278. "ts": 1539815917093867,
  92279. "dur": 190,
  92280. "args": {
  92281. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  92282. "op": "Conv2DBackpropInput"
  92283. }
  92284. },
  92285. {
  92286. "ph": "X",
  92287. "cat": "Op",
  92288. "name": "Conv2DBackpropInput",
  92289. "pid": 45,
  92290. "tid": 0,
  92291. "ts": 1539815917094065,
  92292. "dur": 275,
  92293. "args": {
  92294. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  92295. "op": "Conv2DBackpropInput"
  92296. }
  92297. },
  92298. {
  92299. "ph": "X",
  92300. "cat": "Op",
  92301. "name": "Conv2DBackpropInput",
  92302. "pid": 45,
  92303. "tid": 0,
  92304. "ts": 1539815917094344,
  92305. "dur": 18,
  92306. "args": {
  92307. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  92308. "op": "Conv2DBackpropInput"
  92309. }
  92310. },
  92311. {
  92312. "ph": "X",
  92313. "cat": "Op",
  92314. "name": "Conv2DBackpropInput",
  92315. "pid": 45,
  92316. "tid": 0,
  92317. "ts": 1539815917094430,
  92318. "dur": 189,
  92319. "args": {
  92320. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  92321. "op": "Conv2DBackpropInput"
  92322. }
  92323. },
  92324. {
  92325. "ph": "X",
  92326. "cat": "Op",
  92327. "name": "Conv2DBackpropInput",
  92328. "pid": 45,
  92329. "tid": 0,
  92330. "ts": 1539815917094629,
  92331. "dur": 274,
  92332. "args": {
  92333. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  92334. "op": "Conv2DBackpropInput"
  92335. }
  92336. },
  92337. {
  92338. "ph": "X",
  92339. "cat": "Op",
  92340. "name": "Conv2DBackpropInput",
  92341. "pid": 45,
  92342. "tid": 0,
  92343. "ts": 1539815917094906,
  92344. "dur": 18,
  92345. "args": {
  92346. "name": "tower_1/training/TFOptimizer/gradients/tower_1/conv2d/Conv2D_grad/Conv2DBackpropInput",
  92347. "op": "Conv2DBackpropInput"
  92348. }
  92349. },
  92350. {
  92351. "ph": "X",
  92352. "cat": "Op",
  92353. "name": "Conv2D",
  92354. "pid": 47,
  92355. "tid": 0,
  92356. "ts": 1539815916904664,
  92357. "dur": 21,
  92358. "args": {
  92359. "name": "tower_2/conv2d/Conv2D",
  92360. "op": "Conv2D"
  92361. }
  92362. },
  92363. {
  92364. "ph": "X",
  92365. "cat": "Op",
  92366. "name": "Conv2D",
  92367. "pid": 47,
  92368. "tid": 0,
  92369. "ts": 1539815916905787,
  92370. "dur": 21,
  92371. "args": {
  92372. "name": "tower_2/conv2d/Conv2D",
  92373. "op": "Conv2D"
  92374. }
  92375. },
  92376. {
  92377. "ph": "X",
  92378. "cat": "Op",
  92379. "name": "Conv2D",
  92380. "pid": 47,
  92381. "tid": 0,
  92382. "ts": 1539815916906220,
  92383. "dur": 21,
  92384. "args": {
  92385. "name": "tower_2/conv2d/Conv2D",
  92386. "op": "Conv2D"
  92387. }
  92388. },
  92389. {
  92390. "ph": "X",
  92391. "cat": "Op",
  92392. "name": "Conv2D",
  92393. "pid": 47,
  92394. "tid": 0,
  92395. "ts": 1539815916906944,
  92396. "dur": 113,
  92397. "args": {
  92398. "name": "tower_2/conv2d/Conv2D",
  92399. "op": "Conv2D"
  92400. }
  92401. },
  92402. {
  92403. "ph": "X",
  92404. "cat": "Op",
  92405. "name": "Conv2D",
  92406. "pid": 47,
  92407. "tid": 0,
  92408. "ts": 1539815916907060,
  92409. "dur": 187,
  92410. "args": {
  92411. "name": "tower_2/conv2d/Conv2D",
  92412. "op": "Conv2D"
  92413. }
  92414. },
  92415. {
  92416. "ph": "X",
  92417. "cat": "Op",
  92418. "name": "Conv2D",
  92419. "pid": 47,
  92420. "tid": 0,
  92421. "ts": 1539815916907351,
  92422. "dur": 22,
  92423. "args": {
  92424. "name": "tower_2/conv2d/Conv2D",
  92425. "op": "Conv2D"
  92426. }
  92427. },
  92428. {
  92429. "ph": "X",
  92430. "cat": "Op",
  92431. "name": "Conv2D",
  92432. "pid": 47,
  92433. "tid": 0,
  92434. "ts": 1539815916907384,
  92435. "dur": 114,
  92436. "args": {
  92437. "name": "tower_2/conv2d/Conv2D",
  92438. "op": "Conv2D"
  92439. }
  92440. },
  92441. {
  92442. "ph": "X",
  92443. "cat": "Op",
  92444. "name": "Conv2D",
  92445. "pid": 47,
  92446. "tid": 0,
  92447. "ts": 1539815916907503,
  92448. "dur": 186,
  92449. "args": {
  92450. "name": "tower_2/conv2d/Conv2D",
  92451. "op": "Conv2D"
  92452. }
  92453. },
  92454. {
  92455. "ph": "X",
  92456. "cat": "Op",
  92457. "name": "Conv2D",
  92458. "pid": 47,
  92459. "tid": 0,
  92460. "ts": 1539815916932002,
  92461. "dur": 163,
  92462. "args": {
  92463. "name": "tower_2/conv2d_1/Conv2D",
  92464. "op": "Conv2D"
  92465. }
  92466. },
  92467. {
  92468. "ph": "X",
  92469. "cat": "Op",
  92470. "name": "Conv2D",
  92471. "pid": 47,
  92472. "tid": 0,
  92473. "ts": 1539815916933348,
  92474. "dur": 161,
  92475. "args": {
  92476. "name": "tower_2/conv2d_1/Conv2D",
  92477. "op": "Conv2D"
  92478. }
  92479. },
  92480. {
  92481. "ph": "X",
  92482. "cat": "Op",
  92483. "name": "Conv2D",
  92484. "pid": 47,
  92485. "tid": 0,
  92486. "ts": 1539815916934697,
  92487. "dur": 164,
  92488. "args": {
  92489. "name": "tower_2/conv2d_1/Conv2D",
  92490. "op": "Conv2D"
  92491. }
  92492. },
  92493. {
  92494. "ph": "X",
  92495. "cat": "Op",
  92496. "name": "Conv2D",
  92497. "pid": 47,
  92498. "tid": 0,
  92499. "ts": 1539815916934871,
  92500. "dur": 644,
  92501. "args": {
  92502. "name": "tower_2/conv2d_1/Conv2D",
  92503. "op": "Conv2D"
  92504. }
  92505. },
  92506. {
  92507. "ph": "X",
  92508. "cat": "Op",
  92509. "name": "Conv2D",
  92510. "pid": 47,
  92511. "tid": 0,
  92512. "ts": 1539815916935518,
  92513. "dur": 263,
  92514. "args": {
  92515. "name": "tower_2/conv2d_1/Conv2D",
  92516. "op": "Conv2D"
  92517. }
  92518. },
  92519. {
  92520. "ph": "X",
  92521. "cat": "Op",
  92522. "name": "Conv2D",
  92523. "pid": 47,
  92524. "tid": 0,
  92525. "ts": 1539815916935913,
  92526. "dur": 161,
  92527. "args": {
  92528. "name": "tower_2/conv2d_1/Conv2D",
  92529. "op": "Conv2D"
  92530. }
  92531. },
  92532. {
  92533. "ph": "X",
  92534. "cat": "Op",
  92535. "name": "Conv2D",
  92536. "pid": 47,
  92537. "tid": 0,
  92538. "ts": 1539815916936083,
  92539. "dur": 648,
  92540. "args": {
  92541. "name": "tower_2/conv2d_1/Conv2D",
  92542. "op": "Conv2D"
  92543. }
  92544. },
  92545. {
  92546. "ph": "X",
  92547. "cat": "Op",
  92548. "name": "Conv2D",
  92549. "pid": 47,
  92550. "tid": 0,
  92551. "ts": 1539815916936736,
  92552. "dur": 261,
  92553. "args": {
  92554. "name": "tower_2/conv2d_1/Conv2D",
  92555. "op": "Conv2D"
  92556. }
  92557. },
  92558. {
  92559. "ph": "X",
  92560. "cat": "Op",
  92561. "name": "Conv2D",
  92562. "pid": 47,
  92563. "tid": 0,
  92564. "ts": 1539815916952479,
  92565. "dur": 71,
  92566. "args": {
  92567. "name": "tower_2/conv2d_2/Conv2D",
  92568. "op": "Conv2D"
  92569. }
  92570. },
  92571. {
  92572. "ph": "X",
  92573. "cat": "Op",
  92574. "name": "Conv2D",
  92575. "pid": 47,
  92576. "tid": 0,
  92577. "ts": 1539815916953673,
  92578. "dur": 71,
  92579. "args": {
  92580. "name": "tower_2/conv2d_2/Conv2D",
  92581. "op": "Conv2D"
  92582. }
  92583. },
  92584. {
  92585. "ph": "X",
  92586. "cat": "Op",
  92587. "name": "Conv2D",
  92588. "pid": 47,
  92589. "tid": 0,
  92590. "ts": 1539815916955088,
  92591. "dur": 257,
  92592. "args": {
  92593. "name": "tower_2/conv2d_2/Conv2D",
  92594. "op": "Conv2D"
  92595. }
  92596. },
  92597. {
  92598. "ph": "X",
  92599. "cat": "Op",
  92600. "name": "Conv2D",
  92601. "pid": 47,
  92602. "tid": 0,
  92603. "ts": 1539815916955355,
  92604. "dur": 2314,
  92605. "args": {
  92606. "name": "tower_2/conv2d_2/Conv2D",
  92607. "op": "Conv2D"
  92608. }
  92609. },
  92610. {
  92611. "ph": "X",
  92612. "cat": "Op",
  92613. "name": "Conv2D",
  92614. "pid": 47,
  92615. "tid": 0,
  92616. "ts": 1539815916957672,
  92617. "dur": 438,
  92618. "args": {
  92619. "name": "tower_2/conv2d_2/Conv2D",
  92620. "op": "Conv2D"
  92621. }
  92622. },
  92623. {
  92624. "ph": "X",
  92625. "cat": "Op",
  92626. "name": "Conv2D",
  92627. "pid": 47,
  92628. "tid": 0,
  92629. "ts": 1539815916958402,
  92630. "dur": 253,
  92631. "args": {
  92632. "name": "tower_2/conv2d_2/Conv2D",
  92633. "op": "Conv2D"
  92634. }
  92635. },
  92636. {
  92637. "ph": "X",
  92638. "cat": "Op",
  92639. "name": "Conv2D",
  92640. "pid": 47,
  92641. "tid": 0,
  92642. "ts": 1539815916958665,
  92643. "dur": 2311,
  92644. "args": {
  92645. "name": "tower_2/conv2d_2/Conv2D",
  92646. "op": "Conv2D"
  92647. }
  92648. },
  92649. {
  92650. "ph": "X",
  92651. "cat": "Op",
  92652. "name": "Conv2D",
  92653. "pid": 47,
  92654. "tid": 0,
  92655. "ts": 1539815916960980,
  92656. "dur": 438,
  92657. "args": {
  92658. "name": "tower_2/conv2d_2/Conv2D",
  92659. "op": "Conv2D"
  92660. }
  92661. },
  92662. {
  92663. "ph": "X",
  92664. "cat": "Op",
  92665. "name": "Conv2DBackpropFilter",
  92666. "pid": 47,
  92667. "tid": 0,
  92668. "ts": 1539815917006773,
  92669. "dur": 76,
  92670. "args": {
  92671. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  92672. "op": "Conv2DBackpropFilter"
  92673. }
  92674. },
  92675. {
  92676. "ph": "X",
  92677. "cat": "Op",
  92678. "name": "Conv2DBackpropFilter",
  92679. "pid": 47,
  92680. "tid": 0,
  92681. "ts": 1539815917008048,
  92682. "dur": 74,
  92683. "args": {
  92684. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropFilter",
  92685. "op": "Conv2DBackpropFilter"
  92686. }
  92687. },
  92688. {
  92689. "ph": "X",
  92690. "cat": "Op",
  92691. "name": "Conv2DBackpropInput",
  92692. "pid": 47,
  92693. "tid": 0,
  92694. "ts": 1539815917025400,
  92695. "dur": 130,
  92696. "args": {
  92697. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  92698. "op": "Conv2DBackpropInput"
  92699. }
  92700. },
  92701. {
  92702. "ph": "X",
  92703. "cat": "Op",
  92704. "name": "Conv2DBackpropInput",
  92705. "pid": 47,
  92706. "tid": 0,
  92707. "ts": 1539815917026543,
  92708. "dur": 130,
  92709. "args": {
  92710. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  92711. "op": "Conv2DBackpropInput"
  92712. }
  92713. },
  92714. {
  92715. "ph": "X",
  92716. "cat": "Op",
  92717. "name": "Conv2DBackpropInput",
  92718. "pid": 47,
  92719. "tid": 0,
  92720. "ts": 1539815917027846,
  92721. "dur": 486,
  92722. "args": {
  92723. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  92724. "op": "Conv2DBackpropInput"
  92725. }
  92726. },
  92727. {
  92728. "ph": "X",
  92729. "cat": "Op",
  92730. "name": "Conv2DBackpropInput",
  92731. "pid": 47,
  92732. "tid": 0,
  92733. "ts": 1539815917028343,
  92734. "dur": 2265,
  92735. "args": {
  92736. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  92737. "op": "Conv2DBackpropInput"
  92738. }
  92739. },
  92740. {
  92741. "ph": "X",
  92742. "cat": "Op",
  92743. "name": "Conv2DBackpropInput",
  92744. "pid": 47,
  92745. "tid": 0,
  92746. "ts": 1539815917030611,
  92747. "dur": 236,
  92748. "args": {
  92749. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  92750. "op": "Conv2DBackpropInput"
  92751. }
  92752. },
  92753. {
  92754. "ph": "X",
  92755. "cat": "Op",
  92756. "name": "Conv2DBackpropInput",
  92757. "pid": 47,
  92758. "tid": 0,
  92759. "ts": 1539815917031123,
  92760. "dur": 489,
  92761. "args": {
  92762. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  92763. "op": "Conv2DBackpropInput"
  92764. }
  92765. },
  92766. {
  92767. "ph": "X",
  92768. "cat": "Op",
  92769. "name": "Conv2DBackpropInput",
  92770. "pid": 47,
  92771. "tid": 0,
  92772. "ts": 1539815917031623,
  92773. "dur": 2268,
  92774. "args": {
  92775. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  92776. "op": "Conv2DBackpropInput"
  92777. }
  92778. },
  92779. {
  92780. "ph": "X",
  92781. "cat": "Op",
  92782. "name": "Conv2DBackpropInput",
  92783. "pid": 47,
  92784. "tid": 0,
  92785. "ts": 1539815917033894,
  92786. "dur": 236,
  92787. "args": {
  92788. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_2/Conv2D_grad/Conv2DBackpropInput",
  92789. "op": "Conv2DBackpropInput"
  92790. }
  92791. },
  92792. {
  92793. "ph": "X",
  92794. "cat": "Op",
  92795. "name": "Conv2DBackpropFilter",
  92796. "pid": 47,
  92797. "tid": 0,
  92798. "ts": 1539815917046955,
  92799. "dur": 165,
  92800. "args": {
  92801. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  92802. "op": "Conv2DBackpropFilter"
  92803. }
  92804. },
  92805. {
  92806. "ph": "X",
  92807. "cat": "Op",
  92808. "name": "Conv2DBackpropFilter",
  92809. "pid": 47,
  92810. "tid": 0,
  92811. "ts": 1539815917048458,
  92812. "dur": 167,
  92813. "args": {
  92814. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropFilter",
  92815. "op": "Conv2DBackpropFilter"
  92816. }
  92817. },
  92818. {
  92819. "ph": "X",
  92820. "cat": "Op",
  92821. "name": "Conv2DBackpropInput",
  92822. "pid": 47,
  92823. "tid": 0,
  92824. "ts": 1539815917066620,
  92825. "dur": 300,
  92826. "args": {
  92827. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  92828. "op": "Conv2DBackpropInput"
  92829. }
  92830. },
  92831. {
  92832. "ph": "X",
  92833. "cat": "Op",
  92834. "name": "Conv2DBackpropInput",
  92835. "pid": 47,
  92836. "tid": 0,
  92837. "ts": 1539815917067958,
  92838. "dur": 306,
  92839. "args": {
  92840. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  92841. "op": "Conv2DBackpropInput"
  92842. }
  92843. },
  92844. {
  92845. "ph": "X",
  92846. "cat": "Op",
  92847. "name": "Conv2DBackpropInput",
  92848. "pid": 47,
  92849. "tid": 0,
  92850. "ts": 1539815917069303,
  92851. "dur": 303,
  92852. "args": {
  92853. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  92854. "op": "Conv2DBackpropInput"
  92855. }
  92856. },
  92857. {
  92858. "ph": "X",
  92859. "cat": "Op",
  92860. "name": "Conv2DBackpropInput",
  92861. "pid": 47,
  92862. "tid": 0,
  92863. "ts": 1539815917069616,
  92864. "dur": 609,
  92865. "args": {
  92866. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  92867. "op": "Conv2DBackpropInput"
  92868. }
  92869. },
  92870. {
  92871. "ph": "X",
  92872. "cat": "Op",
  92873. "name": "Conv2DBackpropInput",
  92874. "pid": 47,
  92875. "tid": 0,
  92876. "ts": 1539815917070228,
  92877. "dur": 146,
  92878. "args": {
  92879. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  92880. "op": "Conv2DBackpropInput"
  92881. }
  92882. },
  92883. {
  92884. "ph": "X",
  92885. "cat": "Op",
  92886. "name": "Conv2DBackpropInput",
  92887. "pid": 47,
  92888. "tid": 0,
  92889. "ts": 1539815917070497,
  92890. "dur": 305,
  92891. "args": {
  92892. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  92893. "op": "Conv2DBackpropInput"
  92894. }
  92895. },
  92896. {
  92897. "ph": "X",
  92898. "cat": "Op",
  92899. "name": "Conv2DBackpropInput",
  92900. "pid": 47,
  92901. "tid": 0,
  92902. "ts": 1539815917070811,
  92903. "dur": 609,
  92904. "args": {
  92905. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  92906. "op": "Conv2DBackpropInput"
  92907. }
  92908. },
  92909. {
  92910. "ph": "X",
  92911. "cat": "Op",
  92912. "name": "Conv2DBackpropInput",
  92913. "pid": 47,
  92914. "tid": 0,
  92915. "ts": 1539815917071424,
  92916. "dur": 143,
  92917. "args": {
  92918. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d_1/Conv2D_grad/Conv2DBackpropInput",
  92919. "op": "Conv2DBackpropInput"
  92920. }
  92921. },
  92922. {
  92923. "ph": "X",
  92924. "cat": "Op",
  92925. "name": "Conv2DBackpropFilter",
  92926. "pid": 47,
  92927. "tid": 0,
  92928. "ts": 1539815917078026,
  92929. "dur": 19,
  92930. "args": {
  92931. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  92932. "op": "Conv2DBackpropFilter"
  92933. }
  92934. },
  92935. {
  92936. "ph": "X",
  92937. "cat": "Op",
  92938. "name": "Conv2DBackpropFilter",
  92939. "pid": 47,
  92940. "tid": 0,
  92941. "ts": 1539815917079138,
  92942. "dur": 19,
  92943. "args": {
  92944. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropFilter",
  92945. "op": "Conv2DBackpropFilter"
  92946. }
  92947. },
  92948. {
  92949. "ph": "X",
  92950. "cat": "Op",
  92951. "name": "Conv2DBackpropInput",
  92952. "pid": 47,
  92953. "tid": 0,
  92954. "ts": 1539815917091839,
  92955. "dur": 186,
  92956. "args": {
  92957. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  92958. "op": "Conv2DBackpropInput"
  92959. }
  92960. },
  92961. {
  92962. "ph": "X",
  92963. "cat": "Op",
  92964. "name": "Conv2DBackpropInput",
  92965. "pid": 47,
  92966. "tid": 0,
  92967. "ts": 1539815917092475,
  92968. "dur": 188,
  92969. "args": {
  92970. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  92971. "op": "Conv2DBackpropInput"
  92972. }
  92973. },
  92974. {
  92975. "ph": "X",
  92976. "cat": "Op",
  92977. "name": "Conv2DBackpropInput",
  92978. "pid": 47,
  92979. "tid": 0,
  92980. "ts": 1539815917093107,
  92981. "dur": 194,
  92982. "args": {
  92983. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  92984. "op": "Conv2DBackpropInput"
  92985. }
  92986. },
  92987. {
  92988. "ph": "X",
  92989. "cat": "Op",
  92990. "name": "Conv2DBackpropInput",
  92991. "pid": 47,
  92992. "tid": 0,
  92993. "ts": 1539815917093312,
  92994. "dur": 273,
  92995. "args": {
  92996. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  92997. "op": "Conv2DBackpropInput"
  92998. }
  92999. },
  93000. {
  93001. "ph": "X",
  93002. "cat": "Op",
  93003. "name": "Conv2DBackpropInput",
  93004. "pid": 47,
  93005. "tid": 0,
  93006. "ts": 1539815917093589,
  93007. "dur": 19,
  93008. "args": {
  93009. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  93010. "op": "Conv2DBackpropInput"
  93011. }
  93012. },
  93013. {
  93014. "ph": "X",
  93015. "cat": "Op",
  93016. "name": "Conv2DBackpropInput",
  93017. "pid": 47,
  93018. "tid": 0,
  93019. "ts": 1539815917093720,
  93020. "dur": 193,
  93021. "args": {
  93022. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  93023. "op": "Conv2DBackpropInput"
  93024. }
  93025. },
  93026. {
  93027. "ph": "X",
  93028. "cat": "Op",
  93029. "name": "Conv2DBackpropInput",
  93030. "pid": 47,
  93031. "tid": 0,
  93032. "ts": 1539815917093923,
  93033. "dur": 274,
  93034. "args": {
  93035. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  93036. "op": "Conv2DBackpropInput"
  93037. }
  93038. },
  93039. {
  93040. "ph": "X",
  93041. "cat": "Op",
  93042. "name": "Conv2DBackpropInput",
  93043. "pid": 47,
  93044. "tid": 0,
  93045. "ts": 1539815917094200,
  93046. "dur": 18,
  93047. "args": {
  93048. "name": "tower_2/training/TFOptimizer/gradients/tower_2/conv2d/Conv2D_grad/Conv2DBackpropInput",
  93049. "op": "Conv2DBackpropInput"
  93050. }
  93051. },
  93052. {
  93053. "ph": "X",
  93054. "cat": "Op",
  93055. "name": "unknown",
  93056. "pid": 49,
  93057. "tid": 0,
  93058. "ts": 1539815917561816,
  93059. "dur": 199,
  93060. "args": {
  93061. "name": "unknown",
  93062. "op": "unknown"
  93063. }
  93064. },
  93065. {
  93066. "ph": "X",
  93067. "cat": "Op",
  93068. "name": "unknown",
  93069. "pid": 51,
  93070. "tid": 0,
  93071. "ts": 1539815917561833,
  93072. "dur": 181,
  93073. "args": {
  93074. "name": "unknown",
  93075. "op": "unknown"
  93076. }
  93077. },
  93078. {
  93079. "ph": "X",
  93080. "cat": "Op",
  93081. "name": "unknown",
  93082. "pid": 53,
  93083. "tid": 0,
  93084. "ts": 1539815917561860,
  93085. "dur": 154,
  93086. "args": {
  93087. "name": "unknown",
  93088. "op": "unknown"
  93089. }
  93090. },
  93091. {
  93092. "ph": "X",
  93093. "cat": "Op",
  93094. "name": "MEMCPYPtoP",
  93095. "pid": 55,
  93096. "tid": 0,
  93097. "ts": 1539815912099742,
  93098. "dur": 2,
  93099. "args": {
  93100. "name": "edge_1968_training/TFOptimizer/Adam/learning_rate",
  93101. "op": "MEMCPYPtoP"
  93102. }
  93103. },
  93104. {
  93105. "ph": "X",
  93106. "cat": "Op",
  93107. "name": "MEMCPYPtoP",
  93108. "pid": 55,
  93109. "tid": 0,
  93110. "ts": 1539815912099853,
  93111. "dur": 1,
  93112. "args": {
  93113. "name": "edge_2088_training/TFOptimizer/Adam/learning_rate",
  93114. "op": "MEMCPYPtoP"
  93115. }
  93116. },
  93117. {
  93118. "ph": "X",
  93119. "cat": "Op",
  93120. "name": "MEMCPYPtoP",
  93121. "pid": 55,
  93122. "tid": 0,
  93123. "ts": 1539815912099897,
  93124. "dur": 1,
  93125. "args": {
  93126. "name": "edge_2208_training/TFOptimizer/Adam/learning_rate",
  93127. "op": "MEMCPYPtoP"
  93128. }
  93129. },
  93130. {
  93131. "ph": "X",
  93132. "cat": "Op",
  93133. "name": "MEMCPYPtoP",
  93134. "pid": 55,
  93135. "tid": 0,
  93136. "ts": 1539815912099941,
  93137. "dur": 1,
  93138. "args": {
  93139. "name": "edge_1969_training/TFOptimizer/Adam/beta1",
  93140. "op": "MEMCPYPtoP"
  93141. }
  93142. },
  93143. {
  93144. "ph": "X",
  93145. "cat": "Op",
  93146. "name": "MEMCPYPtoP",
  93147. "pid": 55,
  93148. "tid": 0,
  93149. "ts": 1539815912099981,
  93150. "dur": 1,
  93151. "args": {
  93152. "name": "edge_2089_training/TFOptimizer/Adam/beta1",
  93153. "op": "MEMCPYPtoP"
  93154. }
  93155. },
  93156. {
  93157. "ph": "X",
  93158. "cat": "Op",
  93159. "name": "MEMCPYPtoP",
  93160. "pid": 55,
  93161. "tid": 0,
  93162. "ts": 1539815912100016,
  93163. "dur": 1,
  93164. "args": {
  93165. "name": "edge_2209_training/TFOptimizer/Adam/beta1",
  93166. "op": "MEMCPYPtoP"
  93167. }
  93168. },
  93169. {
  93170. "ph": "X",
  93171. "cat": "Op",
  93172. "name": "MEMCPYPtoP",
  93173. "pid": 55,
  93174. "tid": 0,
  93175. "ts": 1539815912100054,
  93176. "dur": 1,
  93177. "args": {
  93178. "name": "edge_1970_training/TFOptimizer/Adam/beta2",
  93179. "op": "MEMCPYPtoP"
  93180. }
  93181. },
  93182. {
  93183. "ph": "X",
  93184. "cat": "Op",
  93185. "name": "MEMCPYPtoP",
  93186. "pid": 55,
  93187. "tid": 0,
  93188. "ts": 1539815912100092,
  93189. "dur": 1,
  93190. "args": {
  93191. "name": "edge_2090_training/TFOptimizer/Adam/beta2",
  93192. "op": "MEMCPYPtoP"
  93193. }
  93194. },
  93195. {
  93196. "ph": "X",
  93197. "cat": "Op",
  93198. "name": "MEMCPYPtoP",
  93199. "pid": 55,
  93200. "tid": 0,
  93201. "ts": 1539815912100126,
  93202. "dur": 1,
  93203. "args": {
  93204. "name": "edge_2210_training/TFOptimizer/Adam/beta2",
  93205. "op": "MEMCPYPtoP"
  93206. }
  93207. },
  93208. {
  93209. "ph": "X",
  93210. "cat": "Op",
  93211. "name": "MEMCPYPtoP",
  93212. "pid": 55,
  93213. "tid": 0,
  93214. "ts": 1539815912100164,
  93215. "dur": 1,
  93216. "args": {
  93217. "name": "edge_1971_training/TFOptimizer/Adam/epsilon",
  93218. "op": "MEMCPYPtoP"
  93219. }
  93220. },
  93221. {
  93222. "ph": "X",
  93223. "cat": "Op",
  93224. "name": "MEMCPYPtoP",
  93225. "pid": 55,
  93226. "tid": 0,
  93227. "ts": 1539815912100201,
  93228. "dur": 1,
  93229. "args": {
  93230. "name": "edge_2091_training/TFOptimizer/Adam/epsilon",
  93231. "op": "MEMCPYPtoP"
  93232. }
  93233. },
  93234. {
  93235. "ph": "X",
  93236. "cat": "Op",
  93237. "name": "MEMCPYPtoP",
  93238. "pid": 55,
  93239. "tid": 0,
  93240. "ts": 1539815912100237,
  93241. "dur": 1,
  93242. "args": {
  93243. "name": "edge_2211_training/TFOptimizer/Adam/epsilon",
  93244. "op": "MEMCPYPtoP"
  93245. }
  93246. },
  93247. {
  93248. "ph": "X",
  93249. "cat": "Op",
  93250. "name": "MEMCPYDtoH",
  93251. "pid": 55,
  93252. "tid": 0,
  93253. "ts": 1539815912100449,
  93254. "dur": 2,
  93255. "args": {
  93256. "name": "edge_3594_global_step/Read/ReadVariableOp",
  93257. "op": "MEMCPYDtoH"
  93258. }
  93259. },
  93260. {
  93261. "ph": "X",
  93262. "cat": "Op",
  93263. "name": "MEMCPYDtoH",
  93264. "pid": 55,
  93265. "tid": 0,
  93266. "ts": 1539815912100510,
  93267. "dur": 1,
  93268. "args": {
  93269. "name": "edge_3588_Identity_1",
  93270. "op": "MEMCPYDtoH"
  93271. }
  93272. },
  93273. {
  93274. "ph": "X",
  93275. "cat": "Op",
  93276. "name": "MEMCPYHtoD",
  93277. "pid": 55,
  93278. "tid": 0,
  93279. "ts": 1539815912102016,
  93280. "dur": 21,
  93281. "args": {
  93282. "name": "ret_0",
  93283. "op": "MEMCPYHtoD"
  93284. }
  93285. },
  93286. {
  93287. "ph": "X",
  93288. "cat": "Op",
  93289. "name": "MEMCPYHtoD",
  93290. "pid": 55,
  93291. "tid": 0,
  93292. "ts": 1539815912102105,
  93293. "dur": 2,
  93294. "args": {
  93295. "name": "ret_1",
  93296. "op": "MEMCPYHtoD"
  93297. }
  93298. },
  93299. {
  93300. "ph": "X",
  93301. "cat": "Op",
  93302. "name": "MEMCPYHtoD",
  93303. "pid": 55,
  93304. "tid": 0,
  93305. "ts": 1539815912102807,
  93306. "dur": 21,
  93307. "args": {
  93308. "name": "ret_0",
  93309. "op": "MEMCPYHtoD"
  93310. }
  93311. },
  93312. {
  93313. "ph": "X",
  93314. "cat": "Op",
  93315. "name": "MEMCPYHtoD",
  93316. "pid": 55,
  93317. "tid": 0,
  93318. "ts": 1539815912102900,
  93319. "dur": 1,
  93320. "args": {
  93321. "name": "ret_1",
  93322. "op": "MEMCPYHtoD"
  93323. }
  93324. },
  93325. {
  93326. "ph": "X",
  93327. "cat": "Op",
  93328. "name": "MEMCPYHtoD",
  93329. "pid": 55,
  93330. "tid": 0,
  93331. "ts": 1539815912103854,
  93332. "dur": 21,
  93333. "args": {
  93334. "name": "ret_0",
  93335. "op": "MEMCPYHtoD"
  93336. }
  93337. },
  93338. {
  93339. "ph": "X",
  93340. "cat": "Op",
  93341. "name": "MEMCPYHtoD",
  93342. "pid": 55,
  93343. "tid": 0,
  93344. "ts": 1539815912103944,
  93345. "dur": 1,
  93346. "args": {
  93347. "name": "ret_1",
  93348. "op": "MEMCPYHtoD"
  93349. }
  93350. },
  93351. {
  93352. "ph": "X",
  93353. "cat": "Op",
  93354. "name": "MEMCPYHtoD",
  93355. "pid": 55,
  93356. "tid": 0,
  93357. "ts": 1539815912104677,
  93358. "dur": 21,
  93359. "args": {
  93360. "name": "ret_0",
  93361. "op": "MEMCPYHtoD"
  93362. }
  93363. },
  93364. {
  93365. "ph": "X",
  93366. "cat": "Op",
  93367. "name": "MEMCPYHtoD",
  93368. "pid": 55,
  93369. "tid": 0,
  93370. "ts": 1539815912104766,
  93371. "dur": 2,
  93372. "args": {
  93373. "name": "ret_1",
  93374. "op": "MEMCPYHtoD"
  93375. }
  93376. },
  93377. {
  93378. "ph": "X",
  93379. "cat": "Op",
  93380. "name": "MEMCPYHtoD",
  93381. "pid": 55,
  93382. "tid": 0,
  93383. "ts": 1539815912104934,
  93384. "dur": 20,
  93385. "args": {
  93386. "name": "ret_0",
  93387. "op": "MEMCPYHtoD"
  93388. }
  93389. },
  93390. {
  93391. "ph": "X",
  93392. "cat": "Op",
  93393. "name": "MEMCPYHtoD",
  93394. "pid": 55,
  93395. "tid": 0,
  93396. "ts": 1539815912104970,
  93397. "dur": 1,
  93398. "args": {
  93399. "name": "ret_1",
  93400. "op": "MEMCPYHtoD"
  93401. }
  93402. },
  93403. {
  93404. "ph": "X",
  93405. "cat": "Op",
  93406. "name": "MEMCPYHtoD",
  93407. "pid": 55,
  93408. "tid": 0,
  93409. "ts": 1539815912105269,
  93410. "dur": 20,
  93411. "args": {
  93412. "name": "ret_0",
  93413. "op": "MEMCPYHtoD"
  93414. }
  93415. },
  93416. {
  93417. "ph": "X",
  93418. "cat": "Op",
  93419. "name": "MEMCPYHtoD",
  93420. "pid": 55,
  93421. "tid": 0,
  93422. "ts": 1539815912105325,
  93423. "dur": 1,
  93424. "args": {
  93425. "name": "ret_1",
  93426. "op": "MEMCPYHtoD"
  93427. }
  93428. },
  93429. {
  93430. "ph": "X",
  93431. "cat": "Op",
  93432. "name": "MEMCPYHtoD",
  93433. "pid": 55,
  93434. "tid": 0,
  93435. "ts": 1539815912105673,
  93436. "dur": 21,
  93437. "args": {
  93438. "name": "ret_0",
  93439. "op": "MEMCPYHtoD"
  93440. }
  93441. },
  93442. {
  93443. "ph": "X",
  93444. "cat": "Op",
  93445. "name": "MEMCPYHtoD",
  93446. "pid": 55,
  93447. "tid": 0,
  93448. "ts": 1539815912105716,
  93449. "dur": 1,
  93450. "args": {
  93451. "name": "ret_1",
  93452. "op": "MEMCPYHtoD"
  93453. }
  93454. },
  93455. {
  93456. "ph": "X",
  93457. "cat": "Op",
  93458. "name": "MEMCPYHtoD",
  93459. "pid": 55,
  93460. "tid": 0,
  93461. "ts": 1539815912105938,
  93462. "dur": 20,
  93463. "args": {
  93464. "name": "ret_0",
  93465. "op": "MEMCPYHtoD"
  93466. }
  93467. },
  93468. {
  93469. "ph": "X",
  93470. "cat": "Op",
  93471. "name": "MEMCPYHtoD",
  93472. "pid": 55,
  93473. "tid": 0,
  93474. "ts": 1539815912105976,
  93475. "dur": 1,
  93476. "args": {
  93477. "name": "ret_1",
  93478. "op": "MEMCPYHtoD"
  93479. }
  93480. },
  93481. {
  93482. "ph": "X",
  93483. "cat": "Op",
  93484. "name": "FusedBatchNorm",
  93485. "pid": 55,
  93486. "tid": 0,
  93487. "ts": 1539815916889160,
  93488. "dur": 2,
  93489. "args": {
  93490. "name": "tower_2/batch_normalization/FusedBatchNorm",
  93491. "op": "FusedBatchNorm"
  93492. }
  93493. },
  93494. {
  93495. "ph": "X",
  93496. "cat": "Op",
  93497. "name": "FusedBatchNorm",
  93498. "pid": 55,
  93499. "tid": 0,
  93500. "ts": 1539815916889289,
  93501. "dur": 2,
  93502. "args": {
  93503. "name": "tower_1/batch_normalization/FusedBatchNorm",
  93504. "op": "FusedBatchNorm"
  93505. }
  93506. },
  93507. {
  93508. "ph": "X",
  93509. "cat": "Op",
  93510. "name": "FusedBatchNorm",
  93511. "pid": 55,
  93512. "tid": 0,
  93513. "ts": 1539815916891610,
  93514. "dur": 3,
  93515. "args": {
  93516. "name": "tower_3/batch_normalization/FusedBatchNorm",
  93517. "op": "FusedBatchNorm"
  93518. }
  93519. },
  93520. {
  93521. "ph": "X",
  93522. "cat": "Op",
  93523. "name": "FusedBatchNorm",
  93524. "pid": 55,
  93525. "tid": 0,
  93526. "ts": 1539815916892345,
  93527. "dur": 2,
  93528. "args": {
  93529. "name": "batch_normalization/FusedBatchNorm",
  93530. "op": "FusedBatchNorm"
  93531. }
  93532. },
  93533. {
  93534. "ph": "X",
  93535. "cat": "Op",
  93536. "name": "AssignSubVariableOp",
  93537. "pid": 55,
  93538. "tid": 0,
  93539. "ts": 1539815916913134,
  93540. "dur": 1,
  93541. "args": {
  93542. "name": "tower_2/batch_normalization/AssignMovingAvg/AssignSubVariableOp",
  93543. "op": "AssignSubVariableOp"
  93544. }
  93545. },
  93546. {
  93547. "ph": "X",
  93548. "cat": "Op",
  93549. "name": "AssignSubVariableOp",
  93550. "pid": 55,
  93551. "tid": 0,
  93552. "ts": 1539815916913143,
  93553. "dur": 1,
  93554. "args": {
  93555. "name": "tower_1/batch_normalization/AssignMovingAvg/AssignSubVariableOp",
  93556. "op": "AssignSubVariableOp"
  93557. }
  93558. },
  93559. {
  93560. "ph": "X",
  93561. "cat": "Op",
  93562. "name": "AssignSubVariableOp",
  93563. "pid": 55,
  93564. "tid": 0,
  93565. "ts": 1539815916913168,
  93566. "dur": 2,
  93567. "args": {
  93568. "name": "batch_normalization/AssignMovingAvg/AssignSubVariableOp",
  93569. "op": "AssignSubVariableOp"
  93570. }
  93571. },
  93572. {
  93573. "ph": "X",
  93574. "cat": "Op",
  93575. "name": "AssignSubVariableOp",
  93576. "pid": 55,
  93577. "tid": 1,
  93578. "ts": 1539815916913155,
  93579. "dur": 2,
  93580. "args": {
  93581. "name": "tower_3/batch_normalization/AssignMovingAvg/AssignSubVariableOp",
  93582. "op": "AssignSubVariableOp"
  93583. }
  93584. },
  93585. {
  93586. "ph": "X",
  93587. "cat": "Op",
  93588. "name": "AssignSubVariableOp",
  93589. "pid": 55,
  93590. "tid": 0,
  93591. "ts": 1539815916913215,
  93592. "dur": 2,
  93593. "args": {
  93594. "name": "tower_2/batch_normalization/AssignMovingAvg_1/AssignSubVariableOp",
  93595. "op": "AssignSubVariableOp"
  93596. }
  93597. },
  93598. {
  93599. "ph": "X",
  93600. "cat": "Op",
  93601. "name": "AssignSubVariableOp",
  93602. "pid": 55,
  93603. "tid": 0,
  93604. "ts": 1539815916913225,
  93605. "dur": 1,
  93606. "args": {
  93607. "name": "batch_normalization/AssignMovingAvg_1/AssignSubVariableOp",
  93608. "op": "AssignSubVariableOp"
  93609. }
  93610. },
  93611. {
  93612. "ph": "X",
  93613. "cat": "Op",
  93614. "name": "AssignSubVariableOp",
  93615. "pid": 55,
  93616. "tid": 0,
  93617. "ts": 1539815916913254,
  93618. "dur": 2,
  93619. "args": {
  93620. "name": "tower_1/batch_normalization/AssignMovingAvg_1/AssignSubVariableOp",
  93621. "op": "AssignSubVariableOp"
  93622. }
  93623. },
  93624. {
  93625. "ph": "X",
  93626. "cat": "Op",
  93627. "name": "AssignSubVariableOp",
  93628. "pid": 55,
  93629. "tid": 0,
  93630. "ts": 1539815916913258,
  93631. "dur": 1,
  93632. "args": {
  93633. "name": "tower_3/batch_normalization/AssignMovingAvg_1/AssignSubVariableOp",
  93634. "op": "AssignSubVariableOp"
  93635. }
  93636. },
  93637. {
  93638. "ph": "X",
  93639. "cat": "Op",
  93640. "name": "AssignSubVariableOp",
  93641. "pid": 55,
  93642. "tid": 0,
  93643. "ts": 1539815916939432,
  93644. "dur": 1,
  93645. "args": {
  93646. "name": "tower_2/batch_normalization_1/AssignMovingAvg/AssignSubVariableOp",
  93647. "op": "AssignSubVariableOp"
  93648. }
  93649. },
  93650. {
  93651. "ph": "X",
  93652. "cat": "Op",
  93653. "name": "AssignSubVariableOp",
  93654. "pid": 55,
  93655. "tid": 0,
  93656. "ts": 1539815916939461,
  93657. "dur": 2,
  93658. "args": {
  93659. "name": "batch_normalization_1/AssignMovingAvg/AssignSubVariableOp",
  93660. "op": "AssignSubVariableOp"
  93661. }
  93662. },
  93663. {
  93664. "ph": "X",
  93665. "cat": "Op",
  93666. "name": "AssignSubVariableOp",
  93667. "pid": 55,
  93668. "tid": 1,
  93669. "ts": 1539815916939443,
  93670. "dur": 1,
  93671. "args": {
  93672. "name": "tower_2/batch_normalization_1/AssignMovingAvg_1/AssignSubVariableOp",
  93673. "op": "AssignSubVariableOp"
  93674. }
  93675. },
  93676. {
  93677. "ph": "X",
  93678. "cat": "Op",
  93679. "name": "AssignSubVariableOp",
  93680. "pid": 55,
  93681. "tid": 0,
  93682. "ts": 1539815916939473,
  93683. "dur": 1,
  93684. "args": {
  93685. "name": "batch_normalization_1/AssignMovingAvg_1/AssignSubVariableOp",
  93686. "op": "AssignSubVariableOp"
  93687. }
  93688. },
  93689. {
  93690. "ph": "X",
  93691. "cat": "Op",
  93692. "name": "AssignSubVariableOp",
  93693. "pid": 55,
  93694. "tid": 0,
  93695. "ts": 1539815916939730,
  93696. "dur": 2,
  93697. "args": {
  93698. "name": "tower_3/batch_normalization_1/AssignMovingAvg/AssignSubVariableOp",
  93699. "op": "AssignSubVariableOp"
  93700. }
  93701. },
  93702. {
  93703. "ph": "X",
  93704. "cat": "Op",
  93705. "name": "AssignSubVariableOp",
  93706. "pid": 55,
  93707. "tid": 0,
  93708. "ts": 1539815916939742,
  93709. "dur": 2,
  93710. "args": {
  93711. "name": "tower_3/batch_normalization_1/AssignMovingAvg_1/AssignSubVariableOp",
  93712. "op": "AssignSubVariableOp"
  93713. }
  93714. },
  93715. {
  93716. "ph": "X",
  93717. "cat": "Op",
  93718. "name": "AssignSubVariableOp",
  93719. "pid": 55,
  93720. "tid": 0,
  93721. "ts": 1539815916939798,
  93722. "dur": 1,
  93723. "args": {
  93724. "name": "tower_1/batch_normalization_1/AssignMovingAvg/AssignSubVariableOp",
  93725. "op": "AssignSubVariableOp"
  93726. }
  93727. },
  93728. {
  93729. "ph": "X",
  93730. "cat": "Op",
  93731. "name": "AssignSubVariableOp",
  93732. "pid": 55,
  93733. "tid": 0,
  93734. "ts": 1539815916939809,
  93735. "dur": 1,
  93736. "args": {
  93737. "name": "tower_1/batch_normalization_1/AssignMovingAvg_1/AssignSubVariableOp",
  93738. "op": "AssignSubVariableOp"
  93739. }
  93740. },
  93741. {
  93742. "ph": "X",
  93743. "cat": "Op",
  93744. "name": "AssignSubVariableOp",
  93745. "pid": 55,
  93746. "tid": 0,
  93747. "ts": 1539815916964447,
  93748. "dur": 1,
  93749. "args": {
  93750. "name": "batch_normalization_2/AssignMovingAvg/AssignSubVariableOp",
  93751. "op": "AssignSubVariableOp"
  93752. }
  93753. },
  93754. {
  93755. "ph": "X",
  93756. "cat": "Op",
  93757. "name": "AssignSubVariableOp",
  93758. "pid": 55,
  93759. "tid": 0,
  93760. "ts": 1539815916964459,
  93761. "dur": 1,
  93762. "args": {
  93763. "name": "batch_normalization_2/AssignMovingAvg_1/AssignSubVariableOp",
  93764. "op": "AssignSubVariableOp"
  93765. }
  93766. },
  93767. {
  93768. "ph": "X",
  93769. "cat": "Op",
  93770. "name": "AssignSubVariableOp",
  93771. "pid": 55,
  93772. "tid": 0,
  93773. "ts": 1539815916964702,
  93774. "dur": 1,
  93775. "args": {
  93776. "name": "tower_2/batch_normalization_2/AssignMovingAvg/AssignSubVariableOp",
  93777. "op": "AssignSubVariableOp"
  93778. }
  93779. },
  93780. {
  93781. "ph": "X",
  93782. "cat": "Op",
  93783. "name": "AssignSubVariableOp",
  93784. "pid": 55,
  93785. "tid": 0,
  93786. "ts": 1539815916964713,
  93787. "dur": 2,
  93788. "args": {
  93789. "name": "tower_2/batch_normalization_2/AssignMovingAvg_1/AssignSubVariableOp",
  93790. "op": "AssignSubVariableOp"
  93791. }
  93792. },
  93793. {
  93794. "ph": "X",
  93795. "cat": "Op",
  93796. "name": "AssignSubVariableOp",
  93797. "pid": 55,
  93798. "tid": 0,
  93799. "ts": 1539815916965302,
  93800. "dur": 2,
  93801. "args": {
  93802. "name": "tower_3/batch_normalization_2/AssignMovingAvg/AssignSubVariableOp",
  93803. "op": "AssignSubVariableOp"
  93804. }
  93805. },
  93806. {
  93807. "ph": "X",
  93808. "cat": "Op",
  93809. "name": "AssignSubVariableOp",
  93810. "pid": 55,
  93811. "tid": 0,
  93812. "ts": 1539815916965315,
  93813. "dur": 1,
  93814. "args": {
  93815. "name": "tower_3/batch_normalization_2/AssignMovingAvg_1/AssignSubVariableOp",
  93816. "op": "AssignSubVariableOp"
  93817. }
  93818. },
  93819. {
  93820. "ph": "X",
  93821. "cat": "Op",
  93822. "name": "AssignSubVariableOp",
  93823. "pid": 55,
  93824. "tid": 0,
  93825. "ts": 1539815916965478,
  93826. "dur": 1,
  93827. "args": {
  93828. "name": "tower_1/batch_normalization_2/AssignMovingAvg/AssignSubVariableOp",
  93829. "op": "AssignSubVariableOp"
  93830. }
  93831. },
  93832. {
  93833. "ph": "X",
  93834. "cat": "Op",
  93835. "name": "AssignSubVariableOp",
  93836. "pid": 55,
  93837. "tid": 0,
  93838. "ts": 1539815916965489,
  93839. "dur": 1,
  93840. "args": {
  93841. "name": "tower_1/batch_normalization_2/AssignMovingAvg_1/AssignSubVariableOp",
  93842. "op": "AssignSubVariableOp"
  93843. }
  93844. },
  93845. {
  93846. "ph": "X",
  93847. "cat": "Op",
  93848. "name": "MEMCPYDtoH",
  93849. "pid": 55,
  93850. "tid": 0,
  93851. "ts": 1539815916982278,
  93852. "dur": 3,
  93853. "args": {
  93854. "name": "edge_1016_loss/activation_1_loss/Mean",
  93855. "op": "MEMCPYDtoH"
  93856. }
  93857. },
  93858. {
  93859. "ph": "X",
  93860. "cat": "Op",
  93861. "name": "MEMCPYDtoH",
  93862. "pid": 55,
  93863. "tid": 0,
  93864. "ts": 1539815916982294,
  93865. "dur": 4,
  93866. "args": {
  93867. "name": "edge_1017_tower_1/loss/activation_1_loss/Mean",
  93868. "op": "MEMCPYDtoH"
  93869. }
  93870. },
  93871. {
  93872. "ph": "X",
  93873. "cat": "Op",
  93874. "name": "MEMCPYDtoH",
  93875. "pid": 55,
  93876. "tid": 0,
  93877. "ts": 1539815916982303,
  93878. "dur": 3,
  93879. "args": {
  93880. "name": "edge_1018_tower_2/loss/activation_1_loss/Mean",
  93881. "op": "MEMCPYDtoH"
  93882. }
  93883. },
  93884. {
  93885. "ph": "X",
  93886. "cat": "Op",
  93887. "name": "MEMCPYDtoH",
  93888. "pid": 55,
  93889. "tid": 1,
  93890. "ts": 1539815916982305,
  93891. "dur": 4,
  93892. "args": {
  93893. "name": "edge_1019_tower_3/loss/activation_1_loss/Mean",
  93894. "op": "MEMCPYDtoH"
  93895. }
  93896. },
  93897. {
  93898. "ph": "X",
  93899. "cat": "Op",
  93900. "name": "MEMCPYHtoD",
  93901. "pid": 55,
  93902. "tid": 0,
  93903. "ts": 1539815916983796,
  93904. "dur": 2,
  93905. "args": {
  93906. "name": "edge_1025_training/TFOptimizer/gradients/loss/activation_1_loss/Mean_grad/Prod",
  93907. "op": "MEMCPYHtoD"
  93908. }
  93909. },
  93910. {
  93911. "ph": "X",
  93912. "cat": "Op",
  93913. "name": "MEMCPYHtoD",
  93914. "pid": 55,
  93915. "tid": 0,
  93916. "ts": 1539815916983806,
  93917. "dur": 1,
  93918. "args": {
  93919. "name": "edge_1031_tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/Mean_grad/Prod",
  93920. "op": "MEMCPYHtoD"
  93921. }
  93922. },
  93923. {
  93924. "ph": "X",
  93925. "cat": "Op",
  93926. "name": "MEMCPYHtoD",
  93927. "pid": 55,
  93928. "tid": 0,
  93929. "ts": 1539815916983829,
  93930. "dur": 2,
  93931. "args": {
  93932. "name": "edge_1028_tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/Mean_grad/Prod",
  93933. "op": "MEMCPYHtoD"
  93934. }
  93935. },
  93936. {
  93937. "ph": "X",
  93938. "cat": "Op",
  93939. "name": "MEMCPYHtoD",
  93940. "pid": 55,
  93941. "tid": 0,
  93942. "ts": 1539815916983863,
  93943. "dur": 2,
  93944. "args": {
  93945. "name": "edge_1036_tower_2/training/TFOptimizer/gradients/tower_2/loss/activation_1_loss/Mean_grad/Prod",
  93946. "op": "MEMCPYHtoD"
  93947. }
  93948. },
  93949. {
  93950. "ph": "X",
  93951. "cat": "Op",
  93952. "name": "ConcatV2",
  93953. "pid": 55,
  93954. "tid": 0,
  93955. "ts": 1539815917092894,
  93956. "dur": 2,
  93957. "args": {
  93958. "name": "training/TFOptimizer/concat_3",
  93959. "op": "ConcatV2"
  93960. }
  93961. },
  93962. {
  93963. "ph": "X",
  93964. "cat": "Op",
  93965. "name": "ConcatV2",
  93966. "pid": 55,
  93967. "tid": 0,
  93968. "ts": 1539815917093720,
  93969. "dur": 2,
  93970. "args": {
  93971. "name": "training/TFOptimizer/concat_3",
  93972. "op": "ConcatV2"
  93973. }
  93974. },
  93975. {
  93976. "ph": "X",
  93977. "cat": "Op",
  93978. "name": "ConcatV2",
  93979. "pid": 55,
  93980. "tid": 0,
  93981. "ts": 1539815917096152,
  93982. "dur": 3,
  93983. "args": {
  93984. "name": "training/TFOptimizer/concat",
  93985. "op": "ConcatV2"
  93986. }
  93987. },
  93988. {
  93989. "ph": "X",
  93990. "cat": "Op",
  93991. "name": "ConcatV2",
  93992. "pid": 55,
  93993. "tid": 0,
  93994. "ts": 1539815917096157,
  93995. "dur": 2,
  93996. "args": {
  93997. "name": "training/TFOptimizer/concat",
  93998. "op": "ConcatV2"
  93999. }
  94000. },
  94001. {
  94002. "ph": "X",
  94003. "cat": "Op",
  94004. "name": "ConcatV2",
  94005. "pid": 55,
  94006. "tid": 0,
  94007. "ts": 1539815917097570,
  94008. "dur": 3,
  94009. "args": {
  94010. "name": "training/TFOptimizer/concat_2",
  94011. "op": "ConcatV2"
  94012. }
  94013. },
  94014. {
  94015. "ph": "X",
  94016. "cat": "Op",
  94017. "name": "ConcatV2",
  94018. "pid": 55,
  94019. "tid": 0,
  94020. "ts": 1539815917097576,
  94021. "dur": 2,
  94022. "args": {
  94023. "name": "training/TFOptimizer/concat_2",
  94024. "op": "ConcatV2"
  94025. }
  94026. },
  94027. {
  94028. "ph": "X",
  94029. "cat": "Op",
  94030. "name": "ConcatV2",
  94031. "pid": 55,
  94032. "tid": 0,
  94033. "ts": 1539815917098270,
  94034. "dur": 3,
  94035. "args": {
  94036. "name": "training/TFOptimizer/concat_1",
  94037. "op": "ConcatV2"
  94038. }
  94039. },
  94040. {
  94041. "ph": "X",
  94042. "cat": "Op",
  94043. "name": "ConcatV2",
  94044. "pid": 55,
  94045. "tid": 0,
  94046. "ts": 1539815917098277,
  94047. "dur": 2,
  94048. "args": {
  94049. "name": "training/TFOptimizer/concat_1",
  94050. "op": "ConcatV2"
  94051. }
  94052. },
  94053. {
  94054. "ph": "X",
  94055. "cat": "Op",
  94056. "name": "MEMCPYHtoD",
  94057. "pid": 55,
  94058. "tid": 0,
  94059. "ts": 1539815917559612,
  94060. "dur": 2,
  94061. "args": {
  94062. "name": "unknown",
  94063. "op": "MEMCPYHtoD"
  94064. }
  94065. },
  94066. {
  94067. "ph": "X",
  94068. "cat": "Op",
  94069. "name": "MEMCPYHtoD",
  94070. "pid": 55,
  94071. "tid": 0,
  94072. "ts": 1539815917559623,
  94073. "dur": 2,
  94074. "args": {
  94075. "name": "unknown",
  94076. "op": "MEMCPYHtoD"
  94077. }
  94078. },
  94079. {
  94080. "ph": "X",
  94081. "cat": "Op",
  94082. "name": "MEMCPYHtoD",
  94083. "pid": 55,
  94084. "tid": 0,
  94085. "ts": 1539815917559634,
  94086. "dur": 1,
  94087. "args": {
  94088. "name": "unknown",
  94089. "op": "MEMCPYHtoD"
  94090. }
  94091. },
  94092. {
  94093. "ph": "X",
  94094. "cat": "Op",
  94095. "name": "MEMCPYHtoD",
  94096. "pid": 55,
  94097. "tid": 0,
  94098. "ts": 1539815917559643,
  94099. "dur": 2,
  94100. "args": {
  94101. "name": "unknown",
  94102. "op": "MEMCPYHtoD"
  94103. }
  94104. },
  94105. {
  94106. "ph": "X",
  94107. "cat": "Op",
  94108. "name": "MEMCPYHtoD",
  94109. "pid": 55,
  94110. "tid": 0,
  94111. "ts": 1539815917559654,
  94112. "dur": 1,
  94113. "args": {
  94114. "name": "unknown",
  94115. "op": "MEMCPYHtoD"
  94116. }
  94117. },
  94118. {
  94119. "ph": "X",
  94120. "cat": "Op",
  94121. "name": "MEMCPYHtoD",
  94122. "pid": 55,
  94123. "tid": 0,
  94124. "ts": 1539815917559664,
  94125. "dur": 2,
  94126. "args": {
  94127. "name": "unknown",
  94128. "op": "MEMCPYHtoD"
  94129. }
  94130. },
  94131. {
  94132. "ph": "X",
  94133. "cat": "Op",
  94134. "name": "MEMCPYHtoD",
  94135. "pid": 55,
  94136. "tid": 0,
  94137. "ts": 1539815917559674,
  94138. "dur": 1,
  94139. "args": {
  94140. "name": "unknown",
  94141. "op": "MEMCPYHtoD"
  94142. }
  94143. },
  94144. {
  94145. "ph": "X",
  94146. "cat": "Op",
  94147. "name": "MEMCPYHtoD",
  94148. "pid": 55,
  94149. "tid": 0,
  94150. "ts": 1539815917559683,
  94151. "dur": 2,
  94152. "args": {
  94153. "name": "unknown",
  94154. "op": "MEMCPYHtoD"
  94155. }
  94156. },
  94157. {
  94158. "ph": "X",
  94159. "cat": "Op",
  94160. "name": "MEMCPYHtoD",
  94161. "pid": 55,
  94162. "tid": 0,
  94163. "ts": 1539815917559694,
  94164. "dur": 2,
  94165. "args": {
  94166. "name": "unknown",
  94167. "op": "MEMCPYHtoD"
  94168. }
  94169. },
  94170. {
  94171. "ph": "X",
  94172. "cat": "Op",
  94173. "name": "MEMCPYHtoD",
  94174. "pid": 55,
  94175. "tid": 0,
  94176. "ts": 1539815917559773,
  94177. "dur": 3,
  94178. "args": {
  94179. "name": "unknown",
  94180. "op": "MEMCPYHtoD"
  94181. }
  94182. },
  94183. {
  94184. "ph": "X",
  94185. "cat": "Op",
  94186. "name": "MEMCPYHtoD",
  94187. "pid": 55,
  94188. "tid": 0,
  94189. "ts": 1539815917559784,
  94190. "dur": 2,
  94191. "args": {
  94192. "name": "unknown",
  94193. "op": "MEMCPYHtoD"
  94194. }
  94195. },
  94196. {
  94197. "ph": "X",
  94198. "cat": "Op",
  94199. "name": "MEMCPYHtoD",
  94200. "pid": 55,
  94201. "tid": 0,
  94202. "ts": 1539815917559795,
  94203. "dur": 1,
  94204. "args": {
  94205. "name": "unknown",
  94206. "op": "MEMCPYHtoD"
  94207. }
  94208. },
  94209. {
  94210. "ph": "X",
  94211. "cat": "Op",
  94212. "name": "MEMCPYHtoD",
  94213. "pid": 55,
  94214. "tid": 0,
  94215. "ts": 1539815917559805,
  94216. "dur": 2,
  94217. "args": {
  94218. "name": "unknown",
  94219. "op": "MEMCPYHtoD"
  94220. }
  94221. },
  94222. {
  94223. "ph": "X",
  94224. "cat": "Op",
  94225. "name": "MEMCPYHtoD",
  94226. "pid": 55,
  94227. "tid": 0,
  94228. "ts": 1539815917559815,
  94229. "dur": 2,
  94230. "args": {
  94231. "name": "unknown",
  94232. "op": "MEMCPYHtoD"
  94233. }
  94234. },
  94235. {
  94236. "ph": "X",
  94237. "cat": "Op",
  94238. "name": "MEMCPYHtoD",
  94239. "pid": 55,
  94240. "tid": 0,
  94241. "ts": 1539815917559825,
  94242. "dur": 1,
  94243. "args": {
  94244. "name": "unknown",
  94245. "op": "MEMCPYHtoD"
  94246. }
  94247. },
  94248. {
  94249. "ph": "X",
  94250. "cat": "Op",
  94251. "name": "MEMCPYHtoD",
  94252. "pid": 55,
  94253. "tid": 0,
  94254. "ts": 1539815917559835,
  94255. "dur": 2,
  94256. "args": {
  94257. "name": "unknown",
  94258. "op": "MEMCPYHtoD"
  94259. }
  94260. },
  94261. {
  94262. "ph": "X",
  94263. "cat": "Op",
  94264. "name": "MEMCPYHtoD",
  94265. "pid": 55,
  94266. "tid": 0,
  94267. "ts": 1539815917559845,
  94268. "dur": 2,
  94269. "args": {
  94270. "name": "unknown",
  94271. "op": "MEMCPYHtoD"
  94272. }
  94273. },
  94274. {
  94275. "ph": "X",
  94276. "cat": "Op",
  94277. "name": "MEMCPYHtoD",
  94278. "pid": 55,
  94279. "tid": 0,
  94280. "ts": 1539815917559855,
  94281. "dur": 1,
  94282. "args": {
  94283. "name": "unknown",
  94284. "op": "MEMCPYHtoD"
  94285. }
  94286. },
  94287. {
  94288. "ph": "X",
  94289. "cat": "Op",
  94290. "name": "MEMCPYHtoD",
  94291. "pid": 55,
  94292. "tid": 0,
  94293. "ts": 1539815917559920,
  94294. "dur": 2,
  94295. "args": {
  94296. "name": "unknown",
  94297. "op": "MEMCPYHtoD"
  94298. }
  94299. },
  94300. {
  94301. "ph": "X",
  94302. "cat": "Op",
  94303. "name": "MEMCPYHtoD",
  94304. "pid": 55,
  94305. "tid": 0,
  94306. "ts": 1539815917559930,
  94307. "dur": 1,
  94308. "args": {
  94309. "name": "unknown",
  94310. "op": "MEMCPYHtoD"
  94311. }
  94312. },
  94313. {
  94314. "ph": "X",
  94315. "cat": "Op",
  94316. "name": "MEMCPYHtoD",
  94317. "pid": 55,
  94318. "tid": 0,
  94319. "ts": 1539815917559940,
  94320. "dur": 2,
  94321. "args": {
  94322. "name": "unknown",
  94323. "op": "MEMCPYHtoD"
  94324. }
  94325. },
  94326. {
  94327. "ph": "X",
  94328. "cat": "Op",
  94329. "name": "MEMCPYHtoD",
  94330. "pid": 55,
  94331. "tid": 0,
  94332. "ts": 1539815917559950,
  94333. "dur": 1,
  94334. "args": {
  94335. "name": "unknown",
  94336. "op": "MEMCPYHtoD"
  94337. }
  94338. },
  94339. {
  94340. "ph": "X",
  94341. "cat": "Op",
  94342. "name": "MEMCPYHtoD",
  94343. "pid": 55,
  94344. "tid": 0,
  94345. "ts": 1539815917559960,
  94346. "dur": 1,
  94347. "args": {
  94348. "name": "unknown",
  94349. "op": "MEMCPYHtoD"
  94350. }
  94351. },
  94352. {
  94353. "ph": "X",
  94354. "cat": "Op",
  94355. "name": "MEMCPYHtoD",
  94356. "pid": 55,
  94357. "tid": 0,
  94358. "ts": 1539815917559969,
  94359. "dur": 2,
  94360. "args": {
  94361. "name": "unknown",
  94362. "op": "MEMCPYHtoD"
  94363. }
  94364. },
  94365. {
  94366. "ph": "X",
  94367. "cat": "Op",
  94368. "name": "MEMCPYHtoD",
  94369. "pid": 55,
  94370. "tid": 0,
  94371. "ts": 1539815917559980,
  94372. "dur": 2,
  94373. "args": {
  94374. "name": "unknown",
  94375. "op": "MEMCPYHtoD"
  94376. }
  94377. },
  94378. {
  94379. "ph": "X",
  94380. "cat": "Op",
  94381. "name": "MEMCPYHtoD",
  94382. "pid": 55,
  94383. "tid": 0,
  94384. "ts": 1539815917559990,
  94385. "dur": 1,
  94386. "args": {
  94387. "name": "unknown",
  94388. "op": "MEMCPYHtoD"
  94389. }
  94390. },
  94391. {
  94392. "ph": "X",
  94393. "cat": "Op",
  94394. "name": "MEMCPYHtoD",
  94395. "pid": 55,
  94396. "tid": 0,
  94397. "ts": 1539815917559999,
  94398. "dur": 2,
  94399. "args": {
  94400. "name": "unknown",
  94401. "op": "MEMCPYHtoD"
  94402. }
  94403. },
  94404. {
  94405. "ph": "X",
  94406. "cat": "Op",
  94407. "name": "MEMCPYHtoD",
  94408. "pid": 55,
  94409. "tid": 0,
  94410. "ts": 1539815917560062,
  94411. "dur": 2,
  94412. "args": {
  94413. "name": "unknown",
  94414. "op": "MEMCPYHtoD"
  94415. }
  94416. },
  94417. {
  94418. "ph": "X",
  94419. "cat": "Op",
  94420. "name": "MEMCPYHtoD",
  94421. "pid": 55,
  94422. "tid": 0,
  94423. "ts": 1539815917560073,
  94424. "dur": 1,
  94425. "args": {
  94426. "name": "unknown",
  94427. "op": "MEMCPYHtoD"
  94428. }
  94429. },
  94430. {
  94431. "ph": "X",
  94432. "cat": "Op",
  94433. "name": "MEMCPYHtoD",
  94434. "pid": 55,
  94435. "tid": 0,
  94436. "ts": 1539815917560083,
  94437. "dur": 1,
  94438. "args": {
  94439. "name": "unknown",
  94440. "op": "MEMCPYHtoD"
  94441. }
  94442. },
  94443. {
  94444. "ph": "X",
  94445. "cat": "Op",
  94446. "name": "MEMCPYHtoD",
  94447. "pid": 55,
  94448. "tid": 0,
  94449. "ts": 1539815917560093,
  94450. "dur": 1,
  94451. "args": {
  94452. "name": "unknown",
  94453. "op": "MEMCPYHtoD"
  94454. }
  94455. },
  94456. {
  94457. "ph": "X",
  94458. "cat": "Op",
  94459. "name": "MEMCPYHtoD",
  94460. "pid": 55,
  94461. "tid": 0,
  94462. "ts": 1539815917560102,
  94463. "dur": 2,
  94464. "args": {
  94465. "name": "unknown",
  94466. "op": "MEMCPYHtoD"
  94467. }
  94468. },
  94469. {
  94470. "ph": "X",
  94471. "cat": "Op",
  94472. "name": "MEMCPYHtoD",
  94473. "pid": 55,
  94474. "tid": 0,
  94475. "ts": 1539815917560112,
  94476. "dur": 2,
  94477. "args": {
  94478. "name": "unknown",
  94479. "op": "MEMCPYHtoD"
  94480. }
  94481. },
  94482. {
  94483. "ph": "X",
  94484. "cat": "Op",
  94485. "name": "MEMCPYHtoD",
  94486. "pid": 55,
  94487. "tid": 0,
  94488. "ts": 1539815917560123,
  94489. "dur": 1,
  94490. "args": {
  94491. "name": "unknown",
  94492. "op": "MEMCPYHtoD"
  94493. }
  94494. },
  94495. {
  94496. "ph": "X",
  94497. "cat": "Op",
  94498. "name": "MEMCPYHtoD",
  94499. "pid": 55,
  94500. "tid": 0,
  94501. "ts": 1539815917560132,
  94502. "dur": 2,
  94503. "args": {
  94504. "name": "unknown",
  94505. "op": "MEMCPYHtoD"
  94506. }
  94507. },
  94508. {
  94509. "ph": "X",
  94510. "cat": "Op",
  94511. "name": "MEMCPYHtoD",
  94512. "pid": 55,
  94513. "tid": 0,
  94514. "ts": 1539815917560141,
  94515. "dur": 2,
  94516. "args": {
  94517. "name": "unknown",
  94518. "op": "MEMCPYHtoD"
  94519. }
  94520. },
  94521. {
  94522. "ph": "X",
  94523. "cat": "Op",
  94524. "name": "ResourceApplyAdam",
  94525. "pid": 55,
  94526. "tid": 0,
  94527. "ts": 1539815917568179,
  94528. "dur": 1,
  94529. "args": {
  94530. "name": "training/TFOptimizer/Adam/update_2_11/update_conv2d_2/bias/replica_2/ResourceApplyAdam",
  94531. "op": "ResourceApplyAdam"
  94532. }
  94533. },
  94534. {
  94535. "ph": "X",
  94536. "cat": "Op",
  94537. "name": "ResourceApplyAdam",
  94538. "pid": 55,
  94539. "tid": 0,
  94540. "ts": 1539815917568196,
  94541. "dur": 2,
  94542. "args": {
  94543. "name": "training/TFOptimizer/Adam/update_1/update_batch_normalization/gamma/replica_1/ResourceApplyAdam",
  94544. "op": "ResourceApplyAdam"
  94545. }
  94546. },
  94547. {
  94548. "ph": "X",
  94549. "cat": "Op",
  94550. "name": "ResourceApplyAdam",
  94551. "pid": 55,
  94552. "tid": 0,
  94553. "ts": 1539815917568203,
  94554. "dur": 2,
  94555. "args": {
  94556. "name": "training/TFOptimizer/Adam/update_0/update_batch_normalization/gamma/ResourceApplyAdam",
  94557. "op": "ResourceApplyAdam"
  94558. }
  94559. },
  94560. {
  94561. "ph": "X",
  94562. "cat": "Op",
  94563. "name": "ResourceApplyAdam",
  94564. "pid": 55,
  94565. "tid": 0,
  94566. "ts": 1539815917568216,
  94567. "dur": 1,
  94568. "args": {
  94569. "name": "training/TFOptimizer/Adam/update_3_9/update_batch_normalization_2/beta/replica_3/ResourceApplyAdam",
  94570. "op": "ResourceApplyAdam"
  94571. }
  94572. },
  94573. {
  94574. "ph": "X",
  94575. "cat": "Op",
  94576. "name": "ResourceApplyAdam",
  94577. "pid": 55,
  94578. "tid": 0,
  94579. "ts": 1539815917568223,
  94580. "dur": 1,
  94581. "args": {
  94582. "name": "training/TFOptimizer/Adam/update_2_11/update_conv2d_2/bias/replica_2/ResourceApplyAdam",
  94583. "op": "ResourceApplyAdam"
  94584. }
  94585. },
  94586. {
  94587. "ph": "X",
  94588. "cat": "Op",
  94589. "name": "ResourceApplyAdam",
  94590. "pid": 55,
  94591. "tid": 0,
  94592. "ts": 1539815917568243,
  94593. "dur": 2,
  94594. "args": {
  94595. "name": "training/TFOptimizer/Adam/update_1/update_batch_normalization/gamma/replica_1/ResourceApplyAdam",
  94596. "op": "ResourceApplyAdam"
  94597. }
  94598. },
  94599. {
  94600. "ph": "X",
  94601. "cat": "Op",
  94602. "name": "ResourceApplyAdam",
  94603. "pid": 55,
  94604. "tid": 0,
  94605. "ts": 1539815917568277,
  94606. "dur": 1,
  94607. "args": {
  94608. "name": "training/TFOptimizer/Adam/update_0/update_batch_normalization/gamma/ResourceApplyAdam",
  94609. "op": "ResourceApplyAdam"
  94610. }
  94611. },
  94612. {
  94613. "ph": "X",
  94614. "cat": "Op",
  94615. "name": "ResourceApplyAdam",
  94616. "pid": 55,
  94617. "tid": 0,
  94618. "ts": 1539815917568296,
  94619. "dur": 2,
  94620. "args": {
  94621. "name": "training/TFOptimizer/Adam/update_3_9/update_batch_normalization_2/beta/replica_3/ResourceApplyAdam",
  94622. "op": "ResourceApplyAdam"
  94623. }
  94624. },
  94625. {
  94626. "ph": "X",
  94627. "cat": "Op",
  94628. "name": "ResourceApplyAdam",
  94629. "pid": 55,
  94630. "tid": 0,
  94631. "ts": 1539815917568416,
  94632. "dur": 1,
  94633. "args": {
  94634. "name": "training/TFOptimizer/Adam/update_0_1/update_batch_normalization/beta/ResourceApplyAdam",
  94635. "op": "ResourceApplyAdam"
  94636. }
  94637. },
  94638. {
  94639. "ph": "X",
  94640. "cat": "Op",
  94641. "name": "ResourceApplyAdam",
  94642. "pid": 55,
  94643. "tid": 0,
  94644. "ts": 1539815917568433,
  94645. "dur": 1,
  94646. "args": {
  94647. "name": "training/TFOptimizer/Adam/update_1_1/update_batch_normalization/beta/replica_1/ResourceApplyAdam",
  94648. "op": "ResourceApplyAdam"
  94649. }
  94650. },
  94651. {
  94652. "ph": "X",
  94653. "cat": "Op",
  94654. "name": "ResourceApplyAdam",
  94655. "pid": 55,
  94656. "tid": 0,
  94657. "ts": 1539815917568453,
  94658. "dur": 1,
  94659. "args": {
  94660. "name": "training/TFOptimizer/Adam/update_1_1/update_batch_normalization/beta/replica_1/ResourceApplyAdam",
  94661. "op": "ResourceApplyAdam"
  94662. }
  94663. },
  94664. {
  94665. "ph": "X",
  94666. "cat": "Op",
  94667. "name": "ResourceApplyAdam",
  94668. "pid": 55,
  94669. "tid": 0,
  94670. "ts": 1539815917568463,
  94671. "dur": 1,
  94672. "args": {
  94673. "name": "training/TFOptimizer/Adam/update_0_1/update_batch_normalization/beta/ResourceApplyAdam",
  94674. "op": "ResourceApplyAdam"
  94675. }
  94676. },
  94677. {
  94678. "ph": "X",
  94679. "cat": "Op",
  94680. "name": "ResourceApplyAdam",
  94681. "pid": 55,
  94682. "tid": 0,
  94683. "ts": 1539815917568493,
  94684. "dur": 1,
  94685. "args": {
  94686. "name": "training/TFOptimizer/Adam/update_3/update_batch_normalization/gamma/replica_3/ResourceApplyAdam",
  94687. "op": "ResourceApplyAdam"
  94688. }
  94689. },
  94690. {
  94691. "ph": "X",
  94692. "cat": "Op",
  94693. "name": "ResourceApplyAdam",
  94694. "pid": 55,
  94695. "tid": 0,
  94696. "ts": 1539815917568502,
  94697. "dur": 1,
  94698. "args": {
  94699. "name": "training/TFOptimizer/Adam/update_2_13/update_dense/bias/replica_2/ResourceApplyAdam",
  94700. "op": "ResourceApplyAdam"
  94701. }
  94702. },
  94703. {
  94704. "ph": "X",
  94705. "cat": "Op",
  94706. "name": "ResourceApplyAdam",
  94707. "pid": 55,
  94708. "tid": 0,
  94709. "ts": 1539815917568514,
  94710. "dur": 1,
  94711. "args": {
  94712. "name": "training/TFOptimizer/Adam/update_3/update_batch_normalization/gamma/replica_3/ResourceApplyAdam",
  94713. "op": "ResourceApplyAdam"
  94714. }
  94715. },
  94716. {
  94717. "ph": "X",
  94718. "cat": "Op",
  94719. "name": "ResourceApplyAdam",
  94720. "pid": 55,
  94721. "tid": 0,
  94722. "ts": 1539815917568523,
  94723. "dur": 1,
  94724. "args": {
  94725. "name": "training/TFOptimizer/Adam/update_2_13/update_dense/bias/replica_2/ResourceApplyAdam",
  94726. "op": "ResourceApplyAdam"
  94727. }
  94728. },
  94729. {
  94730. "ph": "X",
  94731. "cat": "Op",
  94732. "name": "ResourceApplyAdam",
  94733. "pid": 55,
  94734. "tid": 0,
  94735. "ts": 1539815917568584,
  94736. "dur": 2,
  94737. "args": {
  94738. "name": "training/TFOptimizer/Adam/update_0_11/update_conv2d_2/bias/ResourceApplyAdam",
  94739. "op": "ResourceApplyAdam"
  94740. }
  94741. },
  94742. {
  94743. "ph": "X",
  94744. "cat": "Op",
  94745. "name": "ResourceApplyAdam",
  94746. "pid": 55,
  94747. "tid": 0,
  94748. "ts": 1539815917568598,
  94749. "dur": 2,
  94750. "args": {
  94751. "name": "training/TFOptimizer/Adam/update_1_11/update_conv2d_2/bias/replica_1/ResourceApplyAdam",
  94752. "op": "ResourceApplyAdam"
  94753. }
  94754. },
  94755. {
  94756. "ph": "X",
  94757. "cat": "Op",
  94758. "name": "ResourceApplyAdam",
  94759. "pid": 55,
  94760. "tid": 0,
  94761. "ts": 1539815917568602,
  94762. "dur": 2,
  94763. "args": {
  94764. "name": "training/TFOptimizer/Adam/update_0_11/update_conv2d_2/bias/ResourceApplyAdam",
  94765. "op": "ResourceApplyAdam"
  94766. }
  94767. },
  94768. {
  94769. "ph": "X",
  94770. "cat": "Op",
  94771. "name": "ResourceApplyAdam",
  94772. "pid": 55,
  94773. "tid": 1,
  94774. "ts": 1539815917568604,
  94775. "dur": 2,
  94776. "args": {
  94777. "name": "training/TFOptimizer/Adam/update_2_15/update_dense_1/bias/replica_2/ResourceApplyAdam",
  94778. "op": "ResourceApplyAdam"
  94779. }
  94780. },
  94781. {
  94782. "ph": "X",
  94783. "cat": "Op",
  94784. "name": "ResourceApplyAdam",
  94785. "pid": 55,
  94786. "tid": 0,
  94787. "ts": 1539815917568606,
  94788. "dur": 1,
  94789. "args": {
  94790. "name": "training/TFOptimizer/Adam/update_3_1/update_batch_normalization/beta/replica_3/ResourceApplyAdam",
  94791. "op": "ResourceApplyAdam"
  94792. }
  94793. },
  94794. {
  94795. "ph": "X",
  94796. "cat": "Op",
  94797. "name": "ResourceApplyAdam",
  94798. "pid": 55,
  94799. "tid": 0,
  94800. "ts": 1539815917568617,
  94801. "dur": 1,
  94802. "args": {
  94803. "name": "training/TFOptimizer/Adam/update_1_11/update_conv2d_2/bias/replica_1/ResourceApplyAdam",
  94804. "op": "ResourceApplyAdam"
  94805. }
  94806. },
  94807. {
  94808. "ph": "X",
  94809. "cat": "Op",
  94810. "name": "ResourceApplyAdam",
  94811. "pid": 55,
  94812. "tid": 0,
  94813. "ts": 1539815917568623,
  94814. "dur": 1,
  94815. "args": {
  94816. "name": "training/TFOptimizer/Adam/update_2_15/update_dense_1/bias/replica_2/ResourceApplyAdam",
  94817. "op": "ResourceApplyAdam"
  94818. }
  94819. },
  94820. {
  94821. "ph": "X",
  94822. "cat": "Op",
  94823. "name": "ResourceApplyAdam",
  94824. "pid": 55,
  94825. "tid": 0,
  94826. "ts": 1539815917568639,
  94827. "dur": 2,
  94828. "args": {
  94829. "name": "training/TFOptimizer/Adam/update_3_1/update_batch_normalization/beta/replica_3/ResourceApplyAdam",
  94830. "op": "ResourceApplyAdam"
  94831. }
  94832. },
  94833. {
  94834. "ph": "X",
  94835. "cat": "Op",
  94836. "name": "ResourceApplyAdam",
  94837. "pid": 55,
  94838. "tid": 0,
  94839. "ts": 1539815917568762,
  94840. "dur": 1,
  94841. "args": {
  94842. "name": "training/TFOptimizer/Adam/update_2_3/update_conv2d/bias/replica_2/ResourceApplyAdam",
  94843. "op": "ResourceApplyAdam"
  94844. }
  94845. },
  94846. {
  94847. "ph": "X",
  94848. "cat": "Op",
  94849. "name": "ResourceApplyAdam",
  94850. "pid": 55,
  94851. "tid": 0,
  94852. "ts": 1539815917568783,
  94853. "dur": 1,
  94854. "args": {
  94855. "name": "training/TFOptimizer/Adam/update_2_3/update_conv2d/bias/replica_2/ResourceApplyAdam",
  94856. "op": "ResourceApplyAdam"
  94857. }
  94858. },
  94859. {
  94860. "ph": "X",
  94861. "cat": "Op",
  94862. "name": "ResourceApplyAdam",
  94863. "pid": 55,
  94864. "tid": 1,
  94865. "ts": 1539815917568783,
  94866. "dur": 2,
  94867. "args": {
  94868. "name": "training/TFOptimizer/Adam/update_1_13/update_dense/bias/replica_1/ResourceApplyAdam",
  94869. "op": "ResourceApplyAdam"
  94870. }
  94871. },
  94872. {
  94873. "ph": "X",
  94874. "cat": "Op",
  94875. "name": "ResourceApplyAdam",
  94876. "pid": 55,
  94877. "tid": 0,
  94878. "ts": 1539815917568804,
  94879. "dur": 1,
  94880. "args": {
  94881. "name": "training/TFOptimizer/Adam/update_1_13/update_dense/bias/replica_1/ResourceApplyAdam",
  94882. "op": "ResourceApplyAdam"
  94883. }
  94884. },
  94885. {
  94886. "ph": "X",
  94887. "cat": "Op",
  94888. "name": "ResourceApplyAdam",
  94889. "pid": 55,
  94890. "tid": 0,
  94891. "ts": 1539815917568806,
  94892. "dur": 1,
  94893. "args": {
  94894. "name": "training/TFOptimizer/Adam/update_0_13/update_dense/bias/ResourceApplyAdam",
  94895. "op": "ResourceApplyAdam"
  94896. }
  94897. },
  94898. {
  94899. "ph": "X",
  94900. "cat": "Op",
  94901. "name": "ResourceApplyAdam",
  94902. "pid": 55,
  94903. "tid": 0,
  94904. "ts": 1539815917568824,
  94905. "dur": 2,
  94906. "args": {
  94907. "name": "training/TFOptimizer/Adam/update_3_11/update_conv2d_2/bias/replica_3/ResourceApplyAdam",
  94908. "op": "ResourceApplyAdam"
  94909. }
  94910. },
  94911. {
  94912. "ph": "X",
  94913. "cat": "Op",
  94914. "name": "ResourceApplyAdam",
  94915. "pid": 55,
  94916. "tid": 1,
  94917. "ts": 1539815917568826,
  94918. "dur": 2,
  94919. "args": {
  94920. "name": "training/TFOptimizer/Adam/update_0_13/update_dense/bias/ResourceApplyAdam",
  94921. "op": "ResourceApplyAdam"
  94922. }
  94923. },
  94924. {
  94925. "ph": "X",
  94926. "cat": "Op",
  94927. "name": "ResourceApplyAdam",
  94928. "pid": 55,
  94929. "tid": 0,
  94930. "ts": 1539815917568846,
  94931. "dur": 1,
  94932. "args": {
  94933. "name": "training/TFOptimizer/Adam/update_3_11/update_conv2d_2/bias/replica_3/ResourceApplyAdam",
  94934. "op": "ResourceApplyAdam"
  94935. }
  94936. },
  94937. {
  94938. "ph": "X",
  94939. "cat": "Op",
  94940. "name": "ResourceApplyAdam",
  94941. "pid": 55,
  94942. "tid": 0,
  94943. "ts": 1539815917568879,
  94944. "dur": 1,
  94945. "args": {
  94946. "name": "training/TFOptimizer/Adam/update_1_15/update_dense_1/bias/replica_1/ResourceApplyAdam",
  94947. "op": "ResourceApplyAdam"
  94948. }
  94949. },
  94950. {
  94951. "ph": "X",
  94952. "cat": "Op",
  94953. "name": "ResourceApplyAdam",
  94954. "pid": 55,
  94955. "tid": 0,
  94956. "ts": 1539815917568883,
  94957. "dur": 2,
  94958. "args": {
  94959. "name": "training/TFOptimizer/Adam/update_2_4/update_batch_normalization_1/gamma/replica_2/ResourceApplyAdam",
  94960. "op": "ResourceApplyAdam"
  94961. }
  94962. },
  94963. {
  94964. "ph": "X",
  94965. "cat": "Op",
  94966. "name": "ResourceApplyAdam",
  94967. "pid": 55,
  94968. "tid": 0,
  94969. "ts": 1539815917568909,
  94970. "dur": 1,
  94971. "args": {
  94972. "name": "training/TFOptimizer/Adam/update_2_4/update_batch_normalization_1/gamma/replica_2/ResourceApplyAdam",
  94973. "op": "ResourceApplyAdam"
  94974. }
  94975. },
  94976. {
  94977. "ph": "X",
  94978. "cat": "Op",
  94979. "name": "ResourceApplyAdam",
  94980. "pid": 55,
  94981. "tid": 0,
  94982. "ts": 1539815917568912,
  94983. "dur": 1,
  94984. "args": {
  94985. "name": "training/TFOptimizer/Adam/update_0_15/update_dense_1/bias/ResourceApplyAdam",
  94986. "op": "ResourceApplyAdam"
  94987. }
  94988. },
  94989. {
  94990. "ph": "X",
  94991. "cat": "Op",
  94992. "name": "ResourceApplyAdam",
  94993. "pid": 55,
  94994. "tid": 0,
  94995. "ts": 1539815917568914,
  94996. "dur": 1,
  94997. "args": {
  94998. "name": "training/TFOptimizer/Adam/update_1_15/update_dense_1/bias/replica_1/ResourceApplyAdam",
  94999. "op": "ResourceApplyAdam"
  95000. }
  95001. },
  95002. {
  95003. "ph": "X",
  95004. "cat": "Op",
  95005. "name": "ResourceApplyAdam",
  95006. "pid": 55,
  95007. "tid": 0,
  95008. "ts": 1539815917568929,
  95009. "dur": 1,
  95010. "args": {
  95011. "name": "training/TFOptimizer/Adam/update_3_13/update_dense/bias/replica_3/ResourceApplyAdam",
  95012. "op": "ResourceApplyAdam"
  95013. }
  95014. },
  95015. {
  95016. "ph": "X",
  95017. "cat": "Op",
  95018. "name": "ResourceApplyAdam",
  95019. "pid": 55,
  95020. "tid": 0,
  95021. "ts": 1539815917568936,
  95022. "dur": 1,
  95023. "args": {
  95024. "name": "training/TFOptimizer/Adam/update_0_15/update_dense_1/bias/ResourceApplyAdam",
  95025. "op": "ResourceApplyAdam"
  95026. }
  95027. },
  95028. {
  95029. "ph": "X",
  95030. "cat": "Op",
  95031. "name": "ResourceApplyAdam",
  95032. "pid": 55,
  95033. "tid": 0,
  95034. "ts": 1539815917568947,
  95035. "dur": 1,
  95036. "args": {
  95037. "name": "training/TFOptimizer/Adam/update_3_13/update_dense/bias/replica_3/ResourceApplyAdam",
  95038. "op": "ResourceApplyAdam"
  95039. }
  95040. },
  95041. {
  95042. "ph": "X",
  95043. "cat": "Op",
  95044. "name": "ResourceApplyAdam",
  95045. "pid": 55,
  95046. "tid": 0,
  95047. "ts": 1539815917568988,
  95048. "dur": 2,
  95049. "args": {
  95050. "name": "training/TFOptimizer/Adam/update_2_5/update_batch_normalization_1/beta/replica_2/ResourceApplyAdam",
  95051. "op": "ResourceApplyAdam"
  95052. }
  95053. },
  95054. {
  95055. "ph": "X",
  95056. "cat": "Op",
  95057. "name": "ResourceApplyAdam",
  95058. "pid": 55,
  95059. "tid": 0,
  95060. "ts": 1539815917569006,
  95061. "dur": 1,
  95062. "args": {
  95063. "name": "training/TFOptimizer/Adam/update_2_5/update_batch_normalization_1/beta/replica_2/ResourceApplyAdam",
  95064. "op": "ResourceApplyAdam"
  95065. }
  95066. },
  95067. {
  95068. "ph": "X",
  95069. "cat": "Op",
  95070. "name": "ResourceApplyAdam",
  95071. "pid": 55,
  95072. "tid": 0,
  95073. "ts": 1539815917569032,
  95074. "dur": 1,
  95075. "args": {
  95076. "name": "training/TFOptimizer/Adam/update_1_3/update_conv2d/bias/replica_1/ResourceApplyAdam",
  95077. "op": "ResourceApplyAdam"
  95078. }
  95079. },
  95080. {
  95081. "ph": "X",
  95082. "cat": "Op",
  95083. "name": "ResourceApplyAdam",
  95084. "pid": 55,
  95085. "tid": 0,
  95086. "ts": 1539815917569049,
  95087. "dur": 1,
  95088. "args": {
  95089. "name": "training/TFOptimizer/Adam/update_0_3/update_conv2d/bias/ResourceApplyAdam",
  95090. "op": "ResourceApplyAdam"
  95091. }
  95092. },
  95093. {
  95094. "ph": "X",
  95095. "cat": "Op",
  95096. "name": "ResourceApplyAdam",
  95097. "pid": 55,
  95098. "tid": 0,
  95099. "ts": 1539815917569051,
  95100. "dur": 1,
  95101. "args": {
  95102. "name": "training/TFOptimizer/Adam/update_1_3/update_conv2d/bias/replica_1/ResourceApplyAdam",
  95103. "op": "ResourceApplyAdam"
  95104. }
  95105. },
  95106. {
  95107. "ph": "X",
  95108. "cat": "Op",
  95109. "name": "ResourceApplyAdam",
  95110. "pid": 55,
  95111. "tid": 0,
  95112. "ts": 1539815917569071,
  95113. "dur": 1,
  95114. "args": {
  95115. "name": "training/TFOptimizer/Adam/update_3_15/update_dense_1/bias/replica_3/ResourceApplyAdam",
  95116. "op": "ResourceApplyAdam"
  95117. }
  95118. },
  95119. {
  95120. "ph": "X",
  95121. "cat": "Op",
  95122. "name": "ResourceApplyAdam",
  95123. "pid": 55,
  95124. "tid": 0,
  95125. "ts": 1539815917569089,
  95126. "dur": 2,
  95127. "args": {
  95128. "name": "training/TFOptimizer/Adam/update_3_15/update_dense_1/bias/replica_3/ResourceApplyAdam",
  95129. "op": "ResourceApplyAdam"
  95130. }
  95131. },
  95132. {
  95133. "ph": "X",
  95134. "cat": "Op",
  95135. "name": "ResourceApplyAdam",
  95136. "pid": 55,
  95137. "tid": 0,
  95138. "ts": 1539815917569101,
  95139. "dur": 1,
  95140. "args": {
  95141. "name": "training/TFOptimizer/Adam/update_0_3/update_conv2d/bias/ResourceApplyAdam",
  95142. "op": "ResourceApplyAdam"
  95143. }
  95144. },
  95145. {
  95146. "ph": "X",
  95147. "cat": "Op",
  95148. "name": "ResourceApplyAdam",
  95149. "pid": 55,
  95150. "tid": 0,
  95151. "ts": 1539815917569128,
  95152. "dur": 1,
  95153. "args": {
  95154. "name": "training/TFOptimizer/Adam/update_2_7/update_conv2d_1/bias/replica_2/ResourceApplyAdam",
  95155. "op": "ResourceApplyAdam"
  95156. }
  95157. },
  95158. {
  95159. "ph": "X",
  95160. "cat": "Op",
  95161. "name": "ResourceApplyAdam",
  95162. "pid": 55,
  95163. "tid": 0,
  95164. "ts": 1539815917569146,
  95165. "dur": 1,
  95166. "args": {
  95167. "name": "training/TFOptimizer/Adam/update_2_7/update_conv2d_1/bias/replica_2/ResourceApplyAdam",
  95168. "op": "ResourceApplyAdam"
  95169. }
  95170. },
  95171. {
  95172. "ph": "X",
  95173. "cat": "Op",
  95174. "name": "ResourceApplyAdam",
  95175. "pid": 55,
  95176. "tid": 0,
  95177. "ts": 1539815917569166,
  95178. "dur": 2,
  95179. "args": {
  95180. "name": "training/TFOptimizer/Adam/update_1_4/update_batch_normalization_1/gamma/replica_1/ResourceApplyAdam",
  95181. "op": "ResourceApplyAdam"
  95182. }
  95183. },
  95184. {
  95185. "ph": "X",
  95186. "cat": "Op",
  95187. "name": "ResourceApplyAdam",
  95188. "pid": 55,
  95189. "tid": 0,
  95190. "ts": 1539815917569202,
  95191. "dur": 1,
  95192. "args": {
  95193. "name": "training/TFOptimizer/Adam/update_1_4/update_batch_normalization_1/gamma/replica_1/ResourceApplyAdam",
  95194. "op": "ResourceApplyAdam"
  95195. }
  95196. },
  95197. {
  95198. "ph": "X",
  95199. "cat": "Op",
  95200. "name": "ResourceApplyAdam",
  95201. "pid": 55,
  95202. "tid": 0,
  95203. "ts": 1539815917569207,
  95204. "dur": 1,
  95205. "args": {
  95206. "name": "training/TFOptimizer/Adam/update_3_3/update_conv2d/bias/replica_3/ResourceApplyAdam",
  95207. "op": "ResourceApplyAdam"
  95208. }
  95209. },
  95210. {
  95211. "ph": "X",
  95212. "cat": "Op",
  95213. "name": "ResourceApplyAdam",
  95214. "pid": 55,
  95215. "tid": 0,
  95216. "ts": 1539815917569215,
  95217. "dur": 2,
  95218. "args": {
  95219. "name": "training/TFOptimizer/Adam/update_0_4/update_batch_normalization_1/gamma/ResourceApplyAdam",
  95220. "op": "ResourceApplyAdam"
  95221. }
  95222. },
  95223. {
  95224. "ph": "X",
  95225. "cat": "Op",
  95226. "name": "ResourceApplyAdam",
  95227. "pid": 55,
  95228. "tid": 0,
  95229. "ts": 1539815917569224,
  95230. "dur": 2,
  95231. "args": {
  95232. "name": "training/TFOptimizer/Adam/update_3_3/update_conv2d/bias/replica_3/ResourceApplyAdam",
  95233. "op": "ResourceApplyAdam"
  95234. }
  95235. },
  95236. {
  95237. "ph": "X",
  95238. "cat": "Op",
  95239. "name": "ResourceApplyAdam",
  95240. "pid": 55,
  95241. "tid": 0,
  95242. "ts": 1539815917569230,
  95243. "dur": 1,
  95244. "args": {
  95245. "name": "training/TFOptimizer/Adam/update_2_8/update_batch_normalization_2/gamma/replica_2/ResourceApplyAdam",
  95246. "op": "ResourceApplyAdam"
  95247. }
  95248. },
  95249. {
  95250. "ph": "X",
  95251. "cat": "Op",
  95252. "name": "ResourceApplyAdam",
  95253. "pid": 55,
  95254. "tid": 0,
  95255. "ts": 1539815917569233,
  95256. "dur": 2,
  95257. "args": {
  95258. "name": "training/TFOptimizer/Adam/update_0_4/update_batch_normalization_1/gamma/ResourceApplyAdam",
  95259. "op": "ResourceApplyAdam"
  95260. }
  95261. },
  95262. {
  95263. "ph": "X",
  95264. "cat": "Op",
  95265. "name": "ResourceApplyAdam",
  95266. "pid": 55,
  95267. "tid": 0,
  95268. "ts": 1539815917569249,
  95269. "dur": 2,
  95270. "args": {
  95271. "name": "training/TFOptimizer/Adam/update_2_8/update_batch_normalization_2/gamma/replica_2/ResourceApplyAdam",
  95272. "op": "ResourceApplyAdam"
  95273. }
  95274. },
  95275. {
  95276. "ph": "X",
  95277. "cat": "Op",
  95278. "name": "ResourceApplyAdam",
  95279. "pid": 55,
  95280. "tid": 0,
  95281. "ts": 1539815917569302,
  95282. "dur": 2,
  95283. "args": {
  95284. "name": "training/TFOptimizer/Adam/update_1_5/update_batch_normalization_1/beta/replica_1/ResourceApplyAdam",
  95285. "op": "ResourceApplyAdam"
  95286. }
  95287. },
  95288. {
  95289. "ph": "X",
  95290. "cat": "Op",
  95291. "name": "ResourceApplyAdam",
  95292. "pid": 55,
  95293. "tid": 0,
  95294. "ts": 1539815917569329,
  95295. "dur": 1,
  95296. "args": {
  95297. "name": "training/TFOptimizer/Adam/update_1_5/update_batch_normalization_1/beta/replica_1/ResourceApplyAdam",
  95298. "op": "ResourceApplyAdam"
  95299. }
  95300. },
  95301. {
  95302. "ph": "X",
  95303. "cat": "Op",
  95304. "name": "ResourceApplyAdam",
  95305. "pid": 55,
  95306. "tid": 0,
  95307. "ts": 1539815917569426,
  95308. "dur": 1,
  95309. "args": {
  95310. "name": "training/TFOptimizer/Adam/update_0_5/update_batch_normalization_1/beta/ResourceApplyAdam",
  95311. "op": "ResourceApplyAdam"
  95312. }
  95313. },
  95314. {
  95315. "ph": "X",
  95316. "cat": "Op",
  95317. "name": "ResourceApplyAdam",
  95318. "pid": 55,
  95319. "tid": 0,
  95320. "ts": 1539815917569446,
  95321. "dur": 1,
  95322. "args": {
  95323. "name": "training/TFOptimizer/Adam/update_0_5/update_batch_normalization_1/beta/ResourceApplyAdam",
  95324. "op": "ResourceApplyAdam"
  95325. }
  95326. },
  95327. {
  95328. "ph": "X",
  95329. "cat": "Op",
  95330. "name": "ResourceApplyAdam",
  95331. "pid": 55,
  95332. "tid": 0,
  95333. "ts": 1539815917569464,
  95334. "dur": 2,
  95335. "args": {
  95336. "name": "training/TFOptimizer/Adam/update_3_4/update_batch_normalization_1/gamma/replica_3/ResourceApplyAdam",
  95337. "op": "ResourceApplyAdam"
  95338. }
  95339. },
  95340. {
  95341. "ph": "X",
  95342. "cat": "Op",
  95343. "name": "ResourceApplyAdam",
  95344. "pid": 55,
  95345. "tid": 0,
  95346. "ts": 1539815917569480,
  95347. "dur": 1,
  95348. "args": {
  95349. "name": "training/TFOptimizer/Adam/update_2_9/update_batch_normalization_2/beta/replica_2/ResourceApplyAdam",
  95350. "op": "ResourceApplyAdam"
  95351. }
  95352. },
  95353. {
  95354. "ph": "X",
  95355. "cat": "Op",
  95356. "name": "ResourceApplyAdam",
  95357. "pid": 55,
  95358. "tid": 0,
  95359. "ts": 1539815917569496,
  95360. "dur": 2,
  95361. "args": {
  95362. "name": "training/TFOptimizer/Adam/update_3_4/update_batch_normalization_1/gamma/replica_3/ResourceApplyAdam",
  95363. "op": "ResourceApplyAdam"
  95364. }
  95365. },
  95366. {
  95367. "ph": "X",
  95368. "cat": "Op",
  95369. "name": "ResourceApplyAdam",
  95370. "pid": 55,
  95371. "tid": 0,
  95372. "ts": 1539815917569519,
  95373. "dur": 1,
  95374. "args": {
  95375. "name": "training/TFOptimizer/Adam/update_2_9/update_batch_normalization_2/beta/replica_2/ResourceApplyAdam",
  95376. "op": "ResourceApplyAdam"
  95377. }
  95378. },
  95379. {
  95380. "ph": "X",
  95381. "cat": "Op",
  95382. "name": "ResourceApplyAdam",
  95383. "pid": 55,
  95384. "tid": 0,
  95385. "ts": 1539815917569531,
  95386. "dur": 2,
  95387. "args": {
  95388. "name": "training/TFOptimizer/Adam/update_1_7/update_conv2d_1/bias/replica_1/ResourceApplyAdam",
  95389. "op": "ResourceApplyAdam"
  95390. }
  95391. },
  95392. {
  95393. "ph": "X",
  95394. "cat": "Op",
  95395. "name": "ResourceApplyAdam",
  95396. "pid": 55,
  95397. "tid": 0,
  95398. "ts": 1539815917569551,
  95399. "dur": 1,
  95400. "args": {
  95401. "name": "training/TFOptimizer/Adam/update_1_7/update_conv2d_1/bias/replica_1/ResourceApplyAdam",
  95402. "op": "ResourceApplyAdam"
  95403. }
  95404. },
  95405. {
  95406. "ph": "X",
  95407. "cat": "Op",
  95408. "name": "ResourceApplyAdam",
  95409. "pid": 55,
  95410. "tid": 0,
  95411. "ts": 1539815917569588,
  95412. "dur": 1,
  95413. "args": {
  95414. "name": "training/TFOptimizer/Adam/update_3_5/update_batch_normalization_1/beta/replica_3/ResourceApplyAdam",
  95415. "op": "ResourceApplyAdam"
  95416. }
  95417. },
  95418. {
  95419. "ph": "X",
  95420. "cat": "Op",
  95421. "name": "ResourceApplyAdam",
  95422. "pid": 55,
  95423. "tid": 0,
  95424. "ts": 1539815917569592,
  95425. "dur": 1,
  95426. "args": {
  95427. "name": "training/TFOptimizer/Adam/update_0_7/update_conv2d_1/bias/ResourceApplyAdam",
  95428. "op": "ResourceApplyAdam"
  95429. }
  95430. },
  95431. {
  95432. "ph": "X",
  95433. "cat": "Op",
  95434. "name": "ResourceApplyAdam",
  95435. "pid": 55,
  95436. "tid": 0,
  95437. "ts": 1539815917569646,
  95438. "dur": 1,
  95439. "args": {
  95440. "name": "training/TFOptimizer/Adam/update_3_5/update_batch_normalization_1/beta/replica_3/ResourceApplyAdam",
  95441. "op": "ResourceApplyAdam"
  95442. }
  95443. },
  95444. {
  95445. "ph": "X",
  95446. "cat": "Op",
  95447. "name": "ResourceApplyAdam",
  95448. "pid": 55,
  95449. "tid": 1,
  95450. "ts": 1539815917569647,
  95451. "dur": 2,
  95452. "args": {
  95453. "name": "training/TFOptimizer/Adam/update_2/update_batch_normalization/gamma/replica_2/ResourceApplyAdam",
  95454. "op": "ResourceApplyAdam"
  95455. }
  95456. },
  95457. {
  95458. "ph": "X",
  95459. "cat": "Op",
  95460. "name": "ResourceApplyAdam",
  95461. "pid": 55,
  95462. "tid": 0,
  95463. "ts": 1539815917569652,
  95464. "dur": 1,
  95465. "args": {
  95466. "name": "training/TFOptimizer/Adam/update_0_7/update_conv2d_1/bias/ResourceApplyAdam",
  95467. "op": "ResourceApplyAdam"
  95468. }
  95469. },
  95470. {
  95471. "ph": "X",
  95472. "cat": "Op",
  95473. "name": "ResourceApplyAdam",
  95474. "pid": 55,
  95475. "tid": 0,
  95476. "ts": 1539815917569659,
  95477. "dur": 1,
  95478. "args": {
  95479. "name": "training/TFOptimizer/Adam/update_1_8/update_batch_normalization_2/gamma/replica_1/ResourceApplyAdam",
  95480. "op": "ResourceApplyAdam"
  95481. }
  95482. },
  95483. {
  95484. "ph": "X",
  95485. "cat": "Op",
  95486. "name": "ResourceApplyAdam",
  95487. "pid": 55,
  95488. "tid": 0,
  95489. "ts": 1539815917569666,
  95490. "dur": 1,
  95491. "args": {
  95492. "name": "training/TFOptimizer/Adam/update_2/update_batch_normalization/gamma/replica_2/ResourceApplyAdam",
  95493. "op": "ResourceApplyAdam"
  95494. }
  95495. },
  95496. {
  95497. "ph": "X",
  95498. "cat": "Op",
  95499. "name": "ResourceApplyAdam",
  95500. "pid": 55,
  95501. "tid": 0,
  95502. "ts": 1539815917569676,
  95503. "dur": 1,
  95504. "args": {
  95505. "name": "training/TFOptimizer/Adam/update_1_8/update_batch_normalization_2/gamma/replica_1/ResourceApplyAdam",
  95506. "op": "ResourceApplyAdam"
  95507. }
  95508. },
  95509. {
  95510. "ph": "X",
  95511. "cat": "Op",
  95512. "name": "ResourceApplyAdam",
  95513. "pid": 55,
  95514. "tid": 0,
  95515. "ts": 1539815917569749,
  95516. "dur": 2,
  95517. "args": {
  95518. "name": "training/TFOptimizer/Adam/update_0_8/update_batch_normalization_2/gamma/ResourceApplyAdam",
  95519. "op": "ResourceApplyAdam"
  95520. }
  95521. },
  95522. {
  95523. "ph": "X",
  95524. "cat": "Op",
  95525. "name": "ResourceApplyAdam",
  95526. "pid": 55,
  95527. "tid": 0,
  95528. "ts": 1539815917569755,
  95529. "dur": 1,
  95530. "args": {
  95531. "name": "training/TFOptimizer/Adam/update_1_9/update_batch_normalization_2/beta/replica_1/ResourceApplyAdam",
  95532. "op": "ResourceApplyAdam"
  95533. }
  95534. },
  95535. {
  95536. "ph": "X",
  95537. "cat": "Op",
  95538. "name": "ResourceApplyAdam",
  95539. "pid": 55,
  95540. "tid": 0,
  95541. "ts": 1539815917569757,
  95542. "dur": 2,
  95543. "args": {
  95544. "name": "training/TFOptimizer/Adam/update_3_7/update_conv2d_1/bias/replica_3/ResourceApplyAdam",
  95545. "op": "ResourceApplyAdam"
  95546. }
  95547. },
  95548. {
  95549. "ph": "X",
  95550. "cat": "Op",
  95551. "name": "ResourceApplyAdam",
  95552. "pid": 55,
  95553. "tid": 0,
  95554. "ts": 1539815917569766,
  95555. "dur": 1,
  95556. "args": {
  95557. "name": "training/TFOptimizer/Adam/update_2_1/update_batch_normalization/beta/replica_2/ResourceApplyAdam",
  95558. "op": "ResourceApplyAdam"
  95559. }
  95560. },
  95561. {
  95562. "ph": "X",
  95563. "cat": "Op",
  95564. "name": "ResourceApplyAdam",
  95565. "pid": 55,
  95566. "tid": 0,
  95567. "ts": 1539815917569768,
  95568. "dur": 2,
  95569. "args": {
  95570. "name": "training/TFOptimizer/Adam/update_0_8/update_batch_normalization_2/gamma/ResourceApplyAdam",
  95571. "op": "ResourceApplyAdam"
  95572. }
  95573. },
  95574. {
  95575. "ph": "X",
  95576. "cat": "Op",
  95577. "name": "ResourceApplyAdam",
  95578. "pid": 55,
  95579. "tid": 0,
  95580. "ts": 1539815917569772,
  95581. "dur": 2,
  95582. "args": {
  95583. "name": "training/TFOptimizer/Adam/update_1_9/update_batch_normalization_2/beta/replica_1/ResourceApplyAdam",
  95584. "op": "ResourceApplyAdam"
  95585. }
  95586. },
  95587. {
  95588. "ph": "X",
  95589. "cat": "Op",
  95590. "name": "ResourceApplyAdam",
  95591. "pid": 55,
  95592. "tid": 0,
  95593. "ts": 1539815917569776,
  95594. "dur": 2,
  95595. "args": {
  95596. "name": "training/TFOptimizer/Adam/update_3_7/update_conv2d_1/bias/replica_3/ResourceApplyAdam",
  95597. "op": "ResourceApplyAdam"
  95598. }
  95599. },
  95600. {
  95601. "ph": "X",
  95602. "cat": "Op",
  95603. "name": "ResourceApplyAdam",
  95604. "pid": 55,
  95605. "tid": 0,
  95606. "ts": 1539815917569799,
  95607. "dur": 1,
  95608. "args": {
  95609. "name": "training/TFOptimizer/Adam/update_2_1/update_batch_normalization/beta/replica_2/ResourceApplyAdam",
  95610. "op": "ResourceApplyAdam"
  95611. }
  95612. },
  95613. {
  95614. "ph": "X",
  95615. "cat": "Op",
  95616. "name": "ResourceApplyAdam",
  95617. "pid": 55,
  95618. "tid": 0,
  95619. "ts": 1539815917569851,
  95620. "dur": 1,
  95621. "args": {
  95622. "name": "training/TFOptimizer/Adam/update_1_10/update_conv2d_2/kernel/replica_1/ResourceApplyAdam",
  95623. "op": "ResourceApplyAdam"
  95624. }
  95625. },
  95626. {
  95627. "ph": "X",
  95628. "cat": "Op",
  95629. "name": "ResourceApplyAdam",
  95630. "pid": 55,
  95631. "tid": 0,
  95632. "ts": 1539815917569859,
  95633. "dur": 1,
  95634. "args": {
  95635. "name": "training/TFOptimizer/Adam/update_3_8/update_batch_normalization_2/gamma/replica_3/ResourceApplyAdam",
  95636. "op": "ResourceApplyAdam"
  95637. }
  95638. },
  95639. {
  95640. "ph": "X",
  95641. "cat": "Op",
  95642. "name": "ResourceApplyAdam",
  95643. "pid": 55,
  95644. "tid": 0,
  95645. "ts": 1539815917569872,
  95646. "dur": 1,
  95647. "args": {
  95648. "name": "training/TFOptimizer/Adam/update_1_10/update_conv2d_2/kernel/replica_1/ResourceApplyAdam",
  95649. "op": "ResourceApplyAdam"
  95650. }
  95651. },
  95652. {
  95653. "ph": "X",
  95654. "cat": "Op",
  95655. "name": "ResourceApplyAdam",
  95656. "pid": 55,
  95657. "tid": 0,
  95658. "ts": 1539815917569877,
  95659. "dur": 1,
  95660. "args": {
  95661. "name": "training/TFOptimizer/Adam/update_3_8/update_batch_normalization_2/gamma/replica_3/ResourceApplyAdam",
  95662. "op": "ResourceApplyAdam"
  95663. }
  95664. },
  95665. {
  95666. "ph": "X",
  95667. "cat": "Op",
  95668. "name": "ResourceApplyAdam",
  95669. "pid": 55,
  95670. "tid": 1,
  95671. "ts": 1539815917569877,
  95672. "dur": 1,
  95673. "args": {
  95674. "name": "training/TFOptimizer/Adam/update_2_10/update_conv2d_2/kernel/replica_2/ResourceApplyAdam",
  95675. "op": "ResourceApplyAdam"
  95676. }
  95677. },
  95678. {
  95679. "ph": "X",
  95680. "cat": "Op",
  95681. "name": "ResourceApplyAdam",
  95682. "pid": 55,
  95683. "tid": 0,
  95684. "ts": 1539815917569879,
  95685. "dur": 1,
  95686. "args": {
  95687. "name": "training/TFOptimizer/Adam/update_0_9/update_batch_normalization_2/beta/ResourceApplyAdam",
  95688. "op": "ResourceApplyAdam"
  95689. }
  95690. },
  95691. {
  95692. "ph": "X",
  95693. "cat": "Op",
  95694. "name": "ResourceApplyAdam",
  95695. "pid": 55,
  95696. "tid": 0,
  95697. "ts": 1539815917569898,
  95698. "dur": 1,
  95699. "args": {
  95700. "name": "training/TFOptimizer/Adam/update_2_10/update_conv2d_2/kernel/replica_2/ResourceApplyAdam",
  95701. "op": "ResourceApplyAdam"
  95702. }
  95703. },
  95704. {
  95705. "ph": "X",
  95706. "cat": "Op",
  95707. "name": "ResourceApplyAdam",
  95708. "pid": 55,
  95709. "tid": 1,
  95710. "ts": 1539815917569898,
  95711. "dur": 1,
  95712. "args": {
  95713. "name": "training/TFOptimizer/Adam/update_0_9/update_batch_normalization_2/beta/ResourceApplyAdam",
  95714. "op": "ResourceApplyAdam"
  95715. }
  95716. },
  95717. {
  95718. "ph": "X",
  95719. "cat": "Op",
  95720. "name": "ResourceApplyAdam",
  95721. "pid": 55,
  95722. "tid": 0,
  95723. "ts": 1539815917569951,
  95724. "dur": 1,
  95725. "args": {
  95726. "name": "training/TFOptimizer/Adam/update_1_12/update_dense/kernel/replica_1/ResourceApplyAdam",
  95727. "op": "ResourceApplyAdam"
  95728. }
  95729. },
  95730. {
  95731. "ph": "X",
  95732. "cat": "Op",
  95733. "name": "ResourceApplyAdam",
  95734. "pid": 55,
  95735. "tid": 0,
  95736. "ts": 1539815917569965,
  95737. "dur": 2,
  95738. "args": {
  95739. "name": "training/TFOptimizer/Adam/update_3_10/update_conv2d_2/kernel/replica_3/ResourceApplyAdam",
  95740. "op": "ResourceApplyAdam"
  95741. }
  95742. },
  95743. {
  95744. "ph": "X",
  95745. "cat": "Op",
  95746. "name": "ResourceApplyAdam",
  95747. "pid": 55,
  95748. "tid": 0,
  95749. "ts": 1539815917569990,
  95750. "dur": 1,
  95751. "args": {
  95752. "name": "training/TFOptimizer/Adam/update_3_10/update_conv2d_2/kernel/replica_3/ResourceApplyAdam",
  95753. "op": "ResourceApplyAdam"
  95754. }
  95755. },
  95756. {
  95757. "ph": "X",
  95758. "cat": "Op",
  95759. "name": "ResourceApplyAdam",
  95760. "pid": 55,
  95761. "tid": 0,
  95762. "ts": 1539815917569998,
  95763. "dur": 2,
  95764. "args": {
  95765. "name": "training/TFOptimizer/Adam/update_1_12/update_dense/kernel/replica_1/ResourceApplyAdam",
  95766. "op": "ResourceApplyAdam"
  95767. }
  95768. },
  95769. {
  95770. "ph": "X",
  95771. "cat": "Op",
  95772. "name": "ResourceApplyAdam",
  95773. "pid": 55,
  95774. "tid": 0,
  95775. "ts": 1539815917570023,
  95776. "dur": 1,
  95777. "args": {
  95778. "name": "training/TFOptimizer/Adam/update_2_12/update_dense/kernel/replica_2/ResourceApplyAdam",
  95779. "op": "ResourceApplyAdam"
  95780. }
  95781. },
  95782. {
  95783. "ph": "X",
  95784. "cat": "Op",
  95785. "name": "ResourceApplyAdam",
  95786. "pid": 55,
  95787. "tid": 0,
  95788. "ts": 1539815917570030,
  95789. "dur": 1,
  95790. "args": {
  95791. "name": "training/TFOptimizer/Adam/update_0_10/update_conv2d_2/kernel/ResourceApplyAdam",
  95792. "op": "ResourceApplyAdam"
  95793. }
  95794. },
  95795. {
  95796. "ph": "X",
  95797. "cat": "Op",
  95798. "name": "ResourceApplyAdam",
  95799. "pid": 55,
  95800. "tid": 0,
  95801. "ts": 1539815917570043,
  95802. "dur": 1,
  95803. "args": {
  95804. "name": "training/TFOptimizer/Adam/update_2_12/update_dense/kernel/replica_2/ResourceApplyAdam",
  95805. "op": "ResourceApplyAdam"
  95806. }
  95807. },
  95808. {
  95809. "ph": "X",
  95810. "cat": "Op",
  95811. "name": "ResourceApplyAdam",
  95812. "pid": 55,
  95813. "tid": 0,
  95814. "ts": 1539815917570049,
  95815. "dur": 2,
  95816. "args": {
  95817. "name": "training/TFOptimizer/Adam/update_0_10/update_conv2d_2/kernel/ResourceApplyAdam",
  95818. "op": "ResourceApplyAdam"
  95819. }
  95820. },
  95821. {
  95822. "ph": "X",
  95823. "cat": "Op",
  95824. "name": "ResourceApplyAdam",
  95825. "pid": 55,
  95826. "tid": 0,
  95827. "ts": 1539815917570100,
  95828. "dur": 1,
  95829. "args": {
  95830. "name": "training/TFOptimizer/Adam/update_1_14/update_dense_1/kernel/replica_1/ResourceApplyAdam",
  95831. "op": "ResourceApplyAdam"
  95832. }
  95833. },
  95834. {
  95835. "ph": "X",
  95836. "cat": "Op",
  95837. "name": "ResourceApplyAdam",
  95838. "pid": 55,
  95839. "tid": 0,
  95840. "ts": 1539815917570118,
  95841. "dur": 1,
  95842. "args": {
  95843. "name": "training/TFOptimizer/Adam/update_1_14/update_dense_1/kernel/replica_1/ResourceApplyAdam",
  95844. "op": "ResourceApplyAdam"
  95845. }
  95846. },
  95847. {
  95848. "ph": "X",
  95849. "cat": "Op",
  95850. "name": "ResourceApplyAdam",
  95851. "pid": 55,
  95852. "tid": 0,
  95853. "ts": 1539815917570127,
  95854. "dur": 1,
  95855. "args": {
  95856. "name": "training/TFOptimizer/Adam/update_2_14/update_dense_1/kernel/replica_2/ResourceApplyAdam",
  95857. "op": "ResourceApplyAdam"
  95858. }
  95859. },
  95860. {
  95861. "ph": "X",
  95862. "cat": "Op",
  95863. "name": "ResourceApplyAdam",
  95864. "pid": 55,
  95865. "tid": 0,
  95866. "ts": 1539815917570142,
  95867. "dur": 1,
  95868. "args": {
  95869. "name": "training/TFOptimizer/Adam/update_3_12/update_dense/kernel/replica_3/ResourceApplyAdam",
  95870. "op": "ResourceApplyAdam"
  95871. }
  95872. },
  95873. {
  95874. "ph": "X",
  95875. "cat": "Op",
  95876. "name": "ResourceApplyAdam",
  95877. "pid": 55,
  95878. "tid": 1,
  95879. "ts": 1539815917570142,
  95880. "dur": 2,
  95881. "args": {
  95882. "name": "training/TFOptimizer/Adam/update_0_12/update_dense/kernel/ResourceApplyAdam",
  95883. "op": "ResourceApplyAdam"
  95884. }
  95885. },
  95886. {
  95887. "ph": "X",
  95888. "cat": "Op",
  95889. "name": "ResourceApplyAdam",
  95890. "pid": 55,
  95891. "tid": 0,
  95892. "ts": 1539815917570145,
  95893. "dur": 1,
  95894. "args": {
  95895. "name": "training/TFOptimizer/Adam/update_2_14/update_dense_1/kernel/replica_2/ResourceApplyAdam",
  95896. "op": "ResourceApplyAdam"
  95897. }
  95898. },
  95899. {
  95900. "ph": "X",
  95901. "cat": "Op",
  95902. "name": "ResourceApplyAdam",
  95903. "pid": 55,
  95904. "tid": 0,
  95905. "ts": 1539815917570177,
  95906. "dur": 2,
  95907. "args": {
  95908. "name": "training/TFOptimizer/Adam/update_3_12/update_dense/kernel/replica_3/ResourceApplyAdam",
  95909. "op": "ResourceApplyAdam"
  95910. }
  95911. },
  95912. {
  95913. "ph": "X",
  95914. "cat": "Op",
  95915. "name": "ResourceApplyAdam",
  95916. "pid": 55,
  95917. "tid": 0,
  95918. "ts": 1539815917570190,
  95919. "dur": 1,
  95920. "args": {
  95921. "name": "training/TFOptimizer/Adam/update_0_12/update_dense/kernel/ResourceApplyAdam",
  95922. "op": "ResourceApplyAdam"
  95923. }
  95924. },
  95925. {
  95926. "ph": "X",
  95927. "cat": "Op",
  95928. "name": "ResourceApplyAdam",
  95929. "pid": 55,
  95930. "tid": 0,
  95931. "ts": 1539815917570196,
  95932. "dur": 1,
  95933. "args": {
  95934. "name": "training/TFOptimizer/Adam/update_1_2/update_conv2d/kernel/replica_1/ResourceApplyAdam",
  95935. "op": "ResourceApplyAdam"
  95936. }
  95937. },
  95938. {
  95939. "ph": "X",
  95940. "cat": "Op",
  95941. "name": "ResourceApplyAdam",
  95942. "pid": 55,
  95943. "tid": 0,
  95944. "ts": 1539815917570215,
  95945. "dur": 1,
  95946. "args": {
  95947. "name": "training/TFOptimizer/Adam/update_1_2/update_conv2d/kernel/replica_1/ResourceApplyAdam",
  95948. "op": "ResourceApplyAdam"
  95949. }
  95950. },
  95951. {
  95952. "ph": "X",
  95953. "cat": "Op",
  95954. "name": "ResourceApplyAdam",
  95955. "pid": 55,
  95956. "tid": 0,
  95957. "ts": 1539815917570221,
  95958. "dur": 2,
  95959. "args": {
  95960. "name": "training/TFOptimizer/Adam/update_2_2/update_conv2d/kernel/replica_2/ResourceApplyAdam",
  95961. "op": "ResourceApplyAdam"
  95962. }
  95963. },
  95964. {
  95965. "ph": "X",
  95966. "cat": "Op",
  95967. "name": "ResourceApplyAdam",
  95968. "pid": 55,
  95969. "tid": 0,
  95970. "ts": 1539815917570243,
  95971. "dur": 2,
  95972. "args": {
  95973. "name": "training/TFOptimizer/Adam/update_2_2/update_conv2d/kernel/replica_2/ResourceApplyAdam",
  95974. "op": "ResourceApplyAdam"
  95975. }
  95976. },
  95977. {
  95978. "ph": "X",
  95979. "cat": "Op",
  95980. "name": "ResourceApplyAdam",
  95981. "pid": 55,
  95982. "tid": 0,
  95983. "ts": 1539815917570272,
  95984. "dur": 1,
  95985. "args": {
  95986. "name": "training/TFOptimizer/Adam/update_3_14/update_dense_1/kernel/replica_3/ResourceApplyAdam",
  95987. "op": "ResourceApplyAdam"
  95988. }
  95989. },
  95990. {
  95991. "ph": "X",
  95992. "cat": "Op",
  95993. "name": "ResourceApplyAdam",
  95994. "pid": 55,
  95995. "tid": 0,
  95996. "ts": 1539815917570290,
  95997. "dur": 1,
  95998. "args": {
  95999. "name": "training/TFOptimizer/Adam/update_3_14/update_dense_1/kernel/replica_3/ResourceApplyAdam",
  96000. "op": "ResourceApplyAdam"
  96001. }
  96002. },
  96003. {
  96004. "ph": "X",
  96005. "cat": "Op",
  96006. "name": "ResourceApplyAdam",
  96007. "pid": 55,
  96008. "tid": 0,
  96009. "ts": 1539815917570305,
  96010. "dur": 1,
  96011. "args": {
  96012. "name": "training/TFOptimizer/Adam/update_0_14/update_dense_1/kernel/ResourceApplyAdam",
  96013. "op": "ResourceApplyAdam"
  96014. }
  96015. },
  96016. {
  96017. "ph": "X",
  96018. "cat": "Op",
  96019. "name": "ResourceApplyAdam",
  96020. "pid": 55,
  96021. "tid": 1,
  96022. "ts": 1539815917570305,
  96023. "dur": 2,
  96024. "args": {
  96025. "name": "training/TFOptimizer/Adam/update_1_6/update_conv2d_1/kernel/replica_1/ResourceApplyAdam",
  96026. "op": "ResourceApplyAdam"
  96027. }
  96028. },
  96029. {
  96030. "ph": "X",
  96031. "cat": "Op",
  96032. "name": "ResourceApplyAdam",
  96033. "pid": 55,
  96034. "tid": 0,
  96035. "ts": 1539815917570331,
  96036. "dur": 1,
  96037. "args": {
  96038. "name": "training/TFOptimizer/Adam/update_1_6/update_conv2d_1/kernel/replica_1/ResourceApplyAdam",
  96039. "op": "ResourceApplyAdam"
  96040. }
  96041. },
  96042. {
  96043. "ph": "X",
  96044. "cat": "Op",
  96045. "name": "ResourceApplyAdam",
  96046. "pid": 55,
  96047. "tid": 0,
  96048. "ts": 1539815917570346,
  96049. "dur": 1,
  96050. "args": {
  96051. "name": "training/TFOptimizer/Adam/update_2_6/update_conv2d_1/kernel/replica_2/ResourceApplyAdam",
  96052. "op": "ResourceApplyAdam"
  96053. }
  96054. },
  96055. {
  96056. "ph": "X",
  96057. "cat": "Op",
  96058. "name": "ResourceApplyAdam",
  96059. "pid": 55,
  96060. "tid": 0,
  96061. "ts": 1539815917570350,
  96062. "dur": 1,
  96063. "args": {
  96064. "name": "training/TFOptimizer/Adam/update_0_14/update_dense_1/kernel/ResourceApplyAdam",
  96065. "op": "ResourceApplyAdam"
  96066. }
  96067. },
  96068. {
  96069. "ph": "X",
  96070. "cat": "Op",
  96071. "name": "ResourceApplyAdam",
  96072. "pid": 55,
  96073. "tid": 0,
  96074. "ts": 1539815917570365,
  96075. "dur": 1,
  96076. "args": {
  96077. "name": "training/TFOptimizer/Adam/update_2_6/update_conv2d_1/kernel/replica_2/ResourceApplyAdam",
  96078. "op": "ResourceApplyAdam"
  96079. }
  96080. },
  96081. {
  96082. "ph": "X",
  96083. "cat": "Op",
  96084. "name": "ResourceApplyAdam",
  96085. "pid": 55,
  96086. "tid": 0,
  96087. "ts": 1539815917570385,
  96088. "dur": 2,
  96089. "args": {
  96090. "name": "training/TFOptimizer/Adam/update_3_2/update_conv2d/kernel/replica_3/ResourceApplyAdam",
  96091. "op": "ResourceApplyAdam"
  96092. }
  96093. },
  96094. {
  96095. "ph": "X",
  96096. "cat": "Op",
  96097. "name": "ResourceApplyAdam",
  96098. "pid": 55,
  96099. "tid": 0,
  96100. "ts": 1539815917570405,
  96101. "dur": 1,
  96102. "args": {
  96103. "name": "training/TFOptimizer/Adam/update_3_2/update_conv2d/kernel/replica_3/ResourceApplyAdam",
  96104. "op": "ResourceApplyAdam"
  96105. }
  96106. },
  96107. {
  96108. "ph": "X",
  96109. "cat": "Op",
  96110. "name": "ResourceApplyAdam",
  96111. "pid": 55,
  96112. "tid": 0,
  96113. "ts": 1539815917570447,
  96114. "dur": 2,
  96115. "args": {
  96116. "name": "training/TFOptimizer/Adam/update_0_2/update_conv2d/kernel/ResourceApplyAdam",
  96117. "op": "ResourceApplyAdam"
  96118. }
  96119. },
  96120. {
  96121. "ph": "X",
  96122. "cat": "Op",
  96123. "name": "ResourceApplyAdam",
  96124. "pid": 55,
  96125. "tid": 0,
  96126. "ts": 1539815917570490,
  96127. "dur": 1,
  96128. "args": {
  96129. "name": "training/TFOptimizer/Adam/update_0_2/update_conv2d/kernel/ResourceApplyAdam",
  96130. "op": "ResourceApplyAdam"
  96131. }
  96132. },
  96133. {
  96134. "ph": "X",
  96135. "cat": "Op",
  96136. "name": "ResourceApplyAdam",
  96137. "pid": 55,
  96138. "tid": 0,
  96139. "ts": 1539815917570526,
  96140. "dur": 1,
  96141. "args": {
  96142. "name": "training/TFOptimizer/Adam/update_3_6/update_conv2d_1/kernel/replica_3/ResourceApplyAdam",
  96143. "op": "ResourceApplyAdam"
  96144. }
  96145. },
  96146. {
  96147. "ph": "X",
  96148. "cat": "Op",
  96149. "name": "ResourceApplyAdam",
  96150. "pid": 55,
  96151. "tid": 0,
  96152. "ts": 1539815917570544,
  96153. "dur": 1,
  96154. "args": {
  96155. "name": "training/TFOptimizer/Adam/update_3_6/update_conv2d_1/kernel/replica_3/ResourceApplyAdam",
  96156. "op": "ResourceApplyAdam"
  96157. }
  96158. },
  96159. {
  96160. "ph": "X",
  96161. "cat": "Op",
  96162. "name": "ResourceApplyAdam",
  96163. "pid": 55,
  96164. "tid": 0,
  96165. "ts": 1539815917570567,
  96166. "dur": 1,
  96167. "args": {
  96168. "name": "training/TFOptimizer/Adam/update_0_6/update_conv2d_1/kernel/ResourceApplyAdam",
  96169. "op": "ResourceApplyAdam"
  96170. }
  96171. },
  96172. {
  96173. "ph": "X",
  96174. "cat": "Op",
  96175. "name": "ResourceApplyAdam",
  96176. "pid": 55,
  96177. "tid": 0,
  96178. "ts": 1539815917570584,
  96179. "dur": 2,
  96180. "args": {
  96181. "name": "training/TFOptimizer/Adam/update_0_6/update_conv2d_1/kernel/ResourceApplyAdam",
  96182. "op": "ResourceApplyAdam"
  96183. }
  96184. },
  96185. {
  96186. "ph": "X",
  96187. "cat": "Op",
  96188. "name": "AssignAddVariableOp",
  96189. "pid": 55,
  96190. "tid": 0,
  96191. "ts": 1539815917571500,
  96192. "dur": 2,
  96193. "args": {
  96194. "name": "training/TFOptimizer/Adam/update_0_17/AssignAddVariableOp",
  96195. "op": "AssignAddVariableOp"
  96196. }
  96197. },
  96198. {
  96199. "ph": "X",
  96200. "cat": "Op",
  96201. "name": "AssignAddVariableOp",
  96202. "pid": 55,
  96203. "tid": 0,
  96204. "ts": 1539815917571507,
  96205. "dur": 2,
  96206. "args": {
  96207. "name": "training/TFOptimizer/Adam/update_1_17/AssignAddVariableOp",
  96208. "op": "AssignAddVariableOp"
  96209. }
  96210. },
  96211. {
  96212. "ph": "X",
  96213. "cat": "Op",
  96214. "name": "AssignAddVariableOp",
  96215. "pid": 55,
  96216. "tid": 0,
  96217. "ts": 1539815917571534,
  96218. "dur": 1,
  96219. "args": {
  96220. "name": "training/TFOptimizer/Adam/update_2_17/AssignAddVariableOp",
  96221. "op": "AssignAddVariableOp"
  96222. }
  96223. },
  96224. {
  96225. "ph": "X",
  96226. "cat": "Op",
  96227. "name": "AssignAddVariableOp",
  96228. "pid": 55,
  96229. "tid": 0,
  96230. "ts": 1539815917571567,
  96231. "dur": 2,
  96232. "args": {
  96233. "name": "training/TFOptimizer/Adam/update_3_17/AssignAddVariableOp",
  96234. "op": "AssignAddVariableOp"
  96235. }
  96236. },
  96237. {
  96238. "ph": "X",
  96239. "cat": "Op",
  96240. "name": "FusedBatchNorm",
  96241. "pid": 57,
  96242. "tid": 0,
  96243. "ts": 1539815916891610,
  96244. "dur": 3,
  96245. "args": {
  96246. "name": "tower_3/batch_normalization/FusedBatchNorm",
  96247. "op": "FusedBatchNorm"
  96248. }
  96249. },
  96250. {
  96251. "ph": "X",
  96252. "cat": "Op",
  96253. "name": "MEMCPYHtoD",
  96254. "pid": 57,
  96255. "tid": 0,
  96256. "ts": 1539815917560062,
  96257. "dur": 2,
  96258. "args": {
  96259. "name": "unknown",
  96260. "op": "MEMCPYHtoD"
  96261. }
  96262. },
  96263. {
  96264. "ph": "X",
  96265. "cat": "Op",
  96266. "name": "MEMCPYHtoD",
  96267. "pid": 57,
  96268. "tid": 0,
  96269. "ts": 1539815917560073,
  96270. "dur": 1,
  96271. "args": {
  96272. "name": "unknown",
  96273. "op": "MEMCPYHtoD"
  96274. }
  96275. },
  96276. {
  96277. "ph": "X",
  96278. "cat": "Op",
  96279. "name": "MEMCPYHtoD",
  96280. "pid": 57,
  96281. "tid": 0,
  96282. "ts": 1539815917560083,
  96283. "dur": 1,
  96284. "args": {
  96285. "name": "unknown",
  96286. "op": "MEMCPYHtoD"
  96287. }
  96288. },
  96289. {
  96290. "ph": "X",
  96291. "cat": "Op",
  96292. "name": "MEMCPYHtoD",
  96293. "pid": 57,
  96294. "tid": 0,
  96295. "ts": 1539815917560093,
  96296. "dur": 1,
  96297. "args": {
  96298. "name": "unknown",
  96299. "op": "MEMCPYHtoD"
  96300. }
  96301. },
  96302. {
  96303. "ph": "X",
  96304. "cat": "Op",
  96305. "name": "MEMCPYHtoD",
  96306. "pid": 57,
  96307. "tid": 0,
  96308. "ts": 1539815917560102,
  96309. "dur": 2,
  96310. "args": {
  96311. "name": "unknown",
  96312. "op": "MEMCPYHtoD"
  96313. }
  96314. },
  96315. {
  96316. "ph": "X",
  96317. "cat": "Op",
  96318. "name": "MEMCPYHtoD",
  96319. "pid": 57,
  96320. "tid": 0,
  96321. "ts": 1539815917560112,
  96322. "dur": 2,
  96323. "args": {
  96324. "name": "unknown",
  96325. "op": "MEMCPYHtoD"
  96326. }
  96327. },
  96328. {
  96329. "ph": "X",
  96330. "cat": "Op",
  96331. "name": "MEMCPYHtoD",
  96332. "pid": 57,
  96333. "tid": 0,
  96334. "ts": 1539815917560123,
  96335. "dur": 1,
  96336. "args": {
  96337. "name": "unknown",
  96338. "op": "MEMCPYHtoD"
  96339. }
  96340. },
  96341. {
  96342. "ph": "X",
  96343. "cat": "Op",
  96344. "name": "MEMCPYHtoD",
  96345. "pid": 57,
  96346. "tid": 0,
  96347. "ts": 1539815917560132,
  96348. "dur": 2,
  96349. "args": {
  96350. "name": "unknown",
  96351. "op": "MEMCPYHtoD"
  96352. }
  96353. },
  96354. {
  96355. "ph": "X",
  96356. "cat": "Op",
  96357. "name": "MEMCPYHtoD",
  96358. "pid": 57,
  96359. "tid": 0,
  96360. "ts": 1539815917560141,
  96361. "dur": 2,
  96362. "args": {
  96363. "name": "unknown",
  96364. "op": "MEMCPYHtoD"
  96365. }
  96366. },
  96367. {
  96368. "ph": "X",
  96369. "cat": "Op",
  96370. "name": "MEMCPYHtoD",
  96371. "pid": 59,
  96372. "tid": 0,
  96373. "ts": 1539815912103854,
  96374. "dur": 21,
  96375. "args": {
  96376. "name": "ret_0",
  96377. "op": "MEMCPYHtoD"
  96378. }
  96379. },
  96380. {
  96381. "ph": "X",
  96382. "cat": "Op",
  96383. "name": "MEMCPYHtoD",
  96384. "pid": 59,
  96385. "tid": 0,
  96386. "ts": 1539815912103944,
  96387. "dur": 1,
  96388. "args": {
  96389. "name": "ret_1",
  96390. "op": "MEMCPYHtoD"
  96391. }
  96392. },
  96393. {
  96394. "ph": "X",
  96395. "cat": "Op",
  96396. "name": "MEMCPYHtoD",
  96397. "pid": 59,
  96398. "tid": 0,
  96399. "ts": 1539815912105673,
  96400. "dur": 21,
  96401. "args": {
  96402. "name": "ret_0",
  96403. "op": "MEMCPYHtoD"
  96404. }
  96405. },
  96406. {
  96407. "ph": "X",
  96408. "cat": "Op",
  96409. "name": "MEMCPYHtoD",
  96410. "pid": 59,
  96411. "tid": 0,
  96412. "ts": 1539815912105716,
  96413. "dur": 1,
  96414. "args": {
  96415. "name": "ret_1",
  96416. "op": "MEMCPYHtoD"
  96417. }
  96418. },
  96419. {
  96420. "ph": "X",
  96421. "cat": "Op",
  96422. "name": "MEMCPYHtoD",
  96423. "pid": 59,
  96424. "tid": 0,
  96425. "ts": 1539815916983806,
  96426. "dur": 1,
  96427. "args": {
  96428. "name": "edge_1031_tower_1/training/TFOptimizer/gradients/tower_1/loss/activation_1_loss/Mean_grad/Prod",
  96429. "op": "MEMCPYHtoD"
  96430. }
  96431. },
  96432. {
  96433. "ph": "X",
  96434. "cat": "Op",
  96435. "name": "MEMCPYHtoD",
  96436. "pid": 61,
  96437. "tid": 0,
  96438. "ts": 1539815912102807,
  96439. "dur": 21,
  96440. "args": {
  96441. "name": "ret_0",
  96442. "op": "MEMCPYHtoD"
  96443. }
  96444. },
  96445. {
  96446. "ph": "X",
  96447. "cat": "Op",
  96448. "name": "MEMCPYHtoD",
  96449. "pid": 61,
  96450. "tid": 0,
  96451. "ts": 1539815912102900,
  96452. "dur": 1,
  96453. "args": {
  96454. "name": "ret_1",
  96455. "op": "MEMCPYHtoD"
  96456. }
  96457. },
  96458. {
  96459. "ph": "X",
  96460. "cat": "Op",
  96461. "name": "MEMCPYHtoD",
  96462. "pid": 61,
  96463. "tid": 0,
  96464. "ts": 1539815912105269,
  96465. "dur": 20,
  96466. "args": {
  96467. "name": "ret_0",
  96468. "op": "MEMCPYHtoD"
  96469. }
  96470. },
  96471. {
  96472. "ph": "X",
  96473. "cat": "Op",
  96474. "name": "MEMCPYHtoD",
  96475. "pid": 61,
  96476. "tid": 0,
  96477. "ts": 1539815912105325,
  96478. "dur": 1,
  96479. "args": {
  96480. "name": "ret_1",
  96481. "op": "MEMCPYHtoD"
  96482. }
  96483. },
  96484. {
  96485. "ph": "X",
  96486. "cat": "Op",
  96487. "name": "MEMCPYHtoD",
  96488. "pid": 61,
  96489. "tid": 0,
  96490. "ts": 1539815916983829,
  96491. "dur": 2,
  96492. "args": {
  96493. "name": "edge_1028_tower_3/training/TFOptimizer/gradients/tower_3/loss/activation_1_loss/Mean_grad/Prod",
  96494. "op": "MEMCPYHtoD"
  96495. }
  96496. },
  96497. {
  96498. "ph": "X",
  96499. "cat": "Op",
  96500. "name": "MEMCPYPtoP",
  96501. "pid": 63,
  96502. "tid": 0,
  96503. "ts": 1539815912099742,
  96504. "dur": 2,
  96505. "args": {
  96506. "name": "edge_1968_training/TFOptimizer/Adam/learning_rate",
  96507. "op": "MEMCPYPtoP"
  96508. }
  96509. },
  96510. {
  96511. "ph": "X",
  96512. "cat": "Op",
  96513. "name": "MEMCPYPtoP",
  96514. "pid": 63,
  96515. "tid": 0,
  96516. "ts": 1539815912099853,
  96517. "dur": 1,
  96518. "args": {
  96519. "name": "edge_2088_training/TFOptimizer/Adam/learning_rate",
  96520. "op": "MEMCPYPtoP"
  96521. }
  96522. },
  96523. {
  96524. "ph": "X",
  96525. "cat": "Op",
  96526. "name": "MEMCPYPtoP",
  96527. "pid": 63,
  96528. "tid": 0,
  96529. "ts": 1539815912099897,
  96530. "dur": 1,
  96531. "args": {
  96532. "name": "edge_2208_training/TFOptimizer/Adam/learning_rate",
  96533. "op": "MEMCPYPtoP"
  96534. }
  96535. },
  96536. {
  96537. "ph": "X",
  96538. "cat": "Op",
  96539. "name": "MEMCPYPtoP",
  96540. "pid": 63,
  96541. "tid": 0,
  96542. "ts": 1539815912099941,
  96543. "dur": 1,
  96544. "args": {
  96545. "name": "edge_1969_training/TFOptimizer/Adam/beta1",
  96546. "op": "MEMCPYPtoP"
  96547. }
  96548. },
  96549. {
  96550. "ph": "X",
  96551. "cat": "Op",
  96552. "name": "MEMCPYPtoP",
  96553. "pid": 63,
  96554. "tid": 0,
  96555. "ts": 1539815912099981,
  96556. "dur": 1,
  96557. "args": {
  96558. "name": "edge_2089_training/TFOptimizer/Adam/beta1",
  96559. "op": "MEMCPYPtoP"
  96560. }
  96561. },
  96562. {
  96563. "ph": "X",
  96564. "cat": "Op",
  96565. "name": "MEMCPYPtoP",
  96566. "pid": 63,
  96567. "tid": 0,
  96568. "ts": 1539815912100016,
  96569. "dur": 1,
  96570. "args": {
  96571. "name": "edge_2209_training/TFOptimizer/Adam/beta1",
  96572. "op": "MEMCPYPtoP"
  96573. }
  96574. },
  96575. {
  96576. "ph": "X",
  96577. "cat": "Op",
  96578. "name": "MEMCPYPtoP",
  96579. "pid": 63,
  96580. "tid": 0,
  96581. "ts": 1539815912100054,
  96582. "dur": 1,
  96583. "args": {
  96584. "name": "edge_1970_training/TFOptimizer/Adam/beta2",
  96585. "op": "MEMCPYPtoP"
  96586. }
  96587. },
  96588. {
  96589. "ph": "X",
  96590. "cat": "Op",
  96591. "name": "MEMCPYPtoP",
  96592. "pid": 63,
  96593. "tid": 0,
  96594. "ts": 1539815912100092,
  96595. "dur": 1,
  96596. "args": {
  96597. "name": "edge_2090_training/TFOptimizer/Adam/beta2",
  96598. "op": "MEMCPYPtoP"
  96599. }
  96600. },
  96601. {
  96602. "ph": "X",
  96603. "cat": "Op",
  96604. "name": "MEMCPYPtoP",
  96605. "pid": 63,
  96606. "tid": 0,
  96607. "ts": 1539815912100126,
  96608. "dur": 1,
  96609. "args": {
  96610. "name": "edge_2210_training/TFOptimizer/Adam/beta2",
  96611. "op": "MEMCPYPtoP"
  96612. }
  96613. },
  96614. {
  96615. "ph": "X",
  96616. "cat": "Op",
  96617. "name": "MEMCPYPtoP",
  96618. "pid": 63,
  96619. "tid": 0,
  96620. "ts": 1539815912100164,
  96621. "dur": 1,
  96622. "args": {
  96623. "name": "edge_1971_training/TFOptimizer/Adam/epsilon",
  96624. "op": "MEMCPYPtoP"
  96625. }
  96626. },
  96627. {
  96628. "ph": "X",
  96629. "cat": "Op",
  96630. "name": "MEMCPYPtoP",
  96631. "pid": 63,
  96632. "tid": 0,
  96633. "ts": 1539815912100201,
  96634. "dur": 1,
  96635. "args": {
  96636. "name": "edge_2091_training/TFOptimizer/Adam/epsilon",
  96637. "op": "MEMCPYPtoP"
  96638. }
  96639. },
  96640. {
  96641. "ph": "X",
  96642. "cat": "Op",
  96643. "name": "MEMCPYPtoP",
  96644. "pid": 63,
  96645. "tid": 0,
  96646. "ts": 1539815912100237,
  96647. "dur": 1,
  96648. "args": {
  96649. "name": "edge_2211_training/TFOptimizer/Adam/epsilon",
  96650. "op": "MEMCPYPtoP"
  96651. }
  96652. }
  96653. ]
  96654. }
Add Comment
Please, Sign In to add comment