API tools faq
paste
Advertisement
Guest User

Untitled

a guest
Mar 5th, 2019
271
0
Never
Add comment
Not a member of Pastebin yet? Sign Up, it unlocks many cool features!
text 63.67 KB | None | 0 0
raw download clone embed print report
  1. I0305 12:01:12.176894 7624 caffe.cpp:113] Use GPU with device ID 0
  2. I0305 12:01:12.782867 7624 caffe.cpp:121] Starting Optimization
  3. I0305 12:01:12.782919 7624 solver.cpp:32] Initializing solver from parameters:
  4. test_iter: 1
  5. test_interval: 1000000
  6. base_lr: 0.01
  7. display: 20
  8. max_iter: 50000
  9. lr_policy: "fixed"
  10. gamma: 1
  11. momentum: 0.9
  12. weight_decay: 0.0005
  13. stepsize: 2000
  14. snapshot: 1000
  15. snapshot_prefix: "/home/petra/SegNet-Tutorial/Models/Trial/ca17_full_saliency_alpha_FS"
  16. solver_mode: GPU
  17. net: "/home/petra/SegNet-Tutorial/Models/segnet_basic_h5_train_CA17_full_saliency_alpha_FS.prototxt"
  18. test_initialization: false
  19. I0305 12:01:12.782938 7624 solver.cpp:70] Creating training net from net file: /home/petra/SegNet-Tutorial/Models/segnet_basic_h5_train_CA17_full_saliency_alpha_FS.prototxt
  20. I0305 12:01:12.806676 7624 net.cpp:42] Initializing net from parameters:
  21. name: "segnet"
  22. state {
  23. phase: TRAIN
  24. }
  25. layer {
  26. name: "data"
  27. type: "HDF5Data"
  28. top: "data"
  29. top: "label"
  30. hdf5_data_param {
  31. source: "/home/petra/data_volumes/CA17_data_volume_saliency_alpha_full/train.txt"
  32. batch_size: 1
  33. shuffle: true
  34. }
  35. }
  36. layer {
  37. name: "norm"
  38. type: "LRN"
  39. bottom: "data"
  40. top: "norm"
  41. lrn_param {
  42. local_size: 5
  43. alpha: 0.0001
  44. beta: 0.75
  45. }
  46. }
  47. layer {
  48. name: "conv0"
  49. type: "Convolution"
  50. bottom: "norm"
  51. top: "conv0"
  52. param {
  53. lr_mult: 1
  54. decay_mult: 1
  55. }
  56. param {
  57. lr_mult: 2
  58. decay_mult: 0
  59. }
  60. convolution_param {
  61. num_output: 64
  62. pad: 3
  63. kernel_size: 7
  64. weight_filler {
  65. type: "msra"
  66. }
  67. bias_filler {
  68. type: "constant"
  69. }
  70. }
  71. }
  72. layer {
  73. name: "conv0_bn"
  74. type: "BN"
  75. bottom: "conv0"
  76. top: "conv0"
  77. bn_param {
  78. scale_filler {
  79. type: "constant"
  80. value: 1
  81. }
  82. shift_filler {
  83. type: "constant"
  84. value: 0.001
  85. }
  86. }
  87. }
  88. layer {
  89. name: "relu0"
  90. type: "ReLU"
  91. bottom: "conv0"
  92. top: "conv0"
  93. }
  94. layer {
  95. name: "pool0"
  96. type: "Pooling"
  97. bottom: "conv0"
  98. top: "pool0"
  99. top: "pool0_mask"
  100. pooling_param {
  101. pool: MAX
  102. kernel_size: 3
  103. stride: 2
  104. }
  105. }
  106. layer {
  107. name: "conv1"
  108. type: "Convolution"
  109. bottom: "pool0"
  110. top: "conv1"
  111. param {
  112. lr_mult: 1
  113. decay_mult: 1
  114. }
  115. param {
  116. lr_mult: 2
  117. decay_mult: 0
  118. }
  119. convolution_param {
  120. num_output: 64
  121. pad: 3
  122. kernel_size: 7
  123. weight_filler {
  124. type: "msra"
  125. }
  126. bias_filler {
  127. type: "constant"
  128. }
  129. }
  130. }
  131. layer {
  132. name: "conv1_bn"
  133. type: "BN"
  134. bottom: "conv1"
  135. top: "conv1"
  136. bn_param {
  137. scale_filler {
  138. type: "constant"
  139. value: 1
  140. }
  141. shift_filler {
  142. type: "constant"
  143. value: 0.001
  144. }
  145. }
  146. }
  147. layer {
  148. name: "relu1"
  149. type: "ReLU"
  150. bottom: "conv1"
  151. top: "conv1"
  152. }
  153. layer {
  154. name: "pool1"
  155. type: "Pooling"
  156. bottom: "conv1"
  157. top: "pool1"
  158. top: "pool1_mask"
  159. pooling_param {
  160. pool: MAX
  161. kernel_size: 2
  162. stride: 2
  163. }
  164. }
  165. layer {
  166. name: "conv2"
  167. type: "Convolution"
  168. bottom: "pool1"
  169. top: "conv2"
  170. param {
  171. lr_mult: 1
  172. decay_mult: 1
  173. }
  174. param {
  175. lr_mult: 2
  176. decay_mult: 0
  177. }
  178. convolution_param {
  179. num_output: 64
  180. pad: 3
  181. kernel_size: 7
  182. weight_filler {
  183. type: "msra"
  184. }
  185. bias_filler {
  186. type: "constant"
  187. }
  188. }
  189. }
  190. layer {
  191. name: "conv2_bn"
  192. type: "BN"
  193. bottom: "conv2"
  194. top: "conv2"
  195. bn_param {
  196. scale_filler {
  197. type: "constant"
  198. value: 1
  199. }
  200. shift_filler {
  201. type: "constant"
  202. value: 0.001
  203. }
  204. }
  205. }
  206. layer {
  207. name: "relu2"
  208. type: "ReLU"
  209. bottom: "conv2"
  210. top: "conv2"
  211. }
  212. layer {
  213. name: "pool2"
  214. type: "Pooling"
  215. bottom: "conv2"
  216. top: "pool2"
  217. top: "pool2_mask"
  218. pooling_param {
  219. pool: MAX
  220. kernel_size: 2
  221. stride: 2
  222. }
  223. }
  224. layer {
  225. name: "conv3"
  226. type: "Convolution"
  227. bottom: "pool2"
  228. top: "conv3"
  229. param {
  230. lr_mult: 1
  231. decay_mult: 1
  232. }
  233. param {
  234. lr_mult: 2
  235. decay_mult: 0
  236. }
  237. convolution_param {
  238. num_output: 64
  239. pad: 3
  240. kernel_size: 7
  241. weight_filler {
  242. type: "msra"
  243. }
  244. bias_filler {
  245. type: "constant"
  246. }
  247. }
  248. }
  249. layer {
  250. name: "conv3_bn"
  251. type: "BN"
  252. bottom: "conv3"
  253. top: "conv3"
  254. bn_param {
  255. scale_filler {
  256. type: "constant"
  257. value: 1
  258. }
  259. shift_filler {
  260. type: "constant"
  261. value: 0.001
  262. }
  263. }
  264. }
  265. layer {
  266. name: "relu3"
  267. type: "ReLU"
  268. bottom: "conv3"
  269. top: "conv3"
  270. }
  271. layer {
  272. name: "pool3"
  273. type: "Pooling"
  274. bottom: "conv3"
  275. top: "pool3"
  276. top: "pool3_mask"
  277. pooling_param {
  278. pool: MAX
  279. kernel_size: 2
  280. stride: 2
  281. }
  282. }
  283. layer {
  284. name: "conv4"
  285. type: "Convolution"
  286. bottom: "pool3"
  287. top: "conv4"
  288. param {
  289. lr_mult: 1
  290. decay_mult: 1
  291. }
  292. param {
  293. lr_mult: 2
  294. decay_mult: 0
  295. }
  296. convolution_param {
  297. num_output: 64
  298. pad: 3
  299. kernel_size: 7
  300. weight_filler {
  301. type: "msra"
  302. }
  303. bias_filler {
  304. type: "constant"
  305. }
  306. }
  307. }
  308. layer {
  309. name: "conv4_bn"
  310. type: "BN"
  311. bottom: "conv4"
  312. top: "conv4"
  313. bn_param {
  314. scale_filler {
  315. type: "constant"
  316. value: 1
  317. }
  318. shift_filler {
  319. type: "constant"
  320. value: 0.001
  321. }
  322. }
  323. }
  324. layer {
  325. name: "relu4"
  326. type: "ReLU"
  327. bottom: "conv4"
  328. top: "conv4"
  329. }
  330. layer {
  331. name: "pool4"
  332. type: "Pooling"
  333. bottom: "conv4"
  334. top: "pool4"
  335. top: "pool4_mask"
  336. pooling_param {
  337. pool: MAX
  338. kernel_size: 2
  339. stride: 2
  340. }
  341. }
  342. layer {
  343. name: "upsample4"
  344. type: "Upsample"
  345. bottom: "pool4"
  346. bottom: "pool4_mask"
  347. top: "upsample4"
  348. upsample_param {
  349. scale: 2
  350. }
  351. }
  352. layer {
  353. name: "conv_decode4"
  354. type: "Convolution"
  355. bottom: "upsample4"
  356. top: "conv_decode4"
  357. param {
  358. lr_mult: 1
  359. decay_mult: 1
  360. }
  361. param {
  362. lr_mult: 2
  363. decay_mult: 0
  364. }
  365. convolution_param {
  366. num_output: 64
  367. pad: 3
  368. kernel_size: 7
  369. weight_filler {
  370. type: "msra"
  371. }
  372. bias_filler {
  373. type: "constant"
  374. }
  375. }
  376. }
  377. layer {
  378. name: "conv_decode4_bn"
  379. type: "BN"
  380. bottom: "conv_decode4"
  381. top: "conv_decode4"
  382. bn_param {
  383. scale_filler {
  384. type: "constant"
  385. value: 1
  386. }
  387. shift_filler {
  388. type: "constant"
  389. value: 0.001
  390. }
  391. }
  392. }
  393. layer {
  394. name: "upsample3"
  395. type: "Upsample"
  396. bottom: "conv_decode4"
  397. bottom: "pool3_mask"
  398. top: "upsample3"
  399. upsample_param {
  400. scale: 2
  401. }
  402. }
  403. layer {
  404. name: "conv_decode3"
  405. type: "Convolution"
  406. bottom: "upsample3"
  407. top: "conv_decode3"
  408. param {
  409. lr_mult: 1
  410. decay_mult: 1
  411. }
  412. param {
  413. lr_mult: 2
  414. decay_mult: 0
  415. }
  416. convolution_param {
  417. num_output: 64
  418. pad: 3
  419. kernel_size: 7
  420. weight_filler {
  421. type: "msra"
  422. }
  423. bias_filler {
  424. type: "constant"
  425. }
  426. }
  427. }
  428. layer {
  429. name: "conv_decode3_bn"
  430. type: "BN"
  431. bottom: "conv_decode3"
  432. top: "conv_decode3"
  433. bn_param {
  434. scale_filler {
  435. type: "constant"
  436. value: 1
  437. }
  438. shift_filler {
  439. type: "constant"
  440. value: 0.001
  441. }
  442. }
  443. }
  444. layer {
  445. name: "upsample2"
  446. type: "Upsample"
  447. bottom: "conv_decode3"
  448. bottom: "pool2_mask"
  449. top: "upsample2"
  450. upsample_param {
  451. scale: 2
  452. }
  453. }
  454. layer {
  455. name: "conv_decode2"
  456. type: "Convolution"
  457. bottom: "upsample2"
  458. top: "conv_decode2"
  459. param {
  460. lr_mult: 1
  461. decay_mult: 1
  462. }
  463. param {
  464. lr_mult: 2
  465. decay_mult: 0
  466. }
  467. convolution_param {
  468. num_output: 64
  469. pad: 3
  470. kernel_size: 7
  471. weight_filler {
  472. type: "msra"
  473. }
  474. bias_filler {
  475. type: "constant"
  476. }
  477. }
  478. }
  479. layer {
  480. name: "conv_decode2_bn"
  481. type: "BN"
  482. bottom: "conv_decode2"
  483. top: "conv_decode2"
  484. bn_param {
  485. scale_filler {
  486. type: "constant"
  487. value: 1
  488. }
  489. shift_filler {
  490. type: "constant"
  491. value: 0.001
  492. }
  493. }
  494. }
  495. layer {
  496. name: "upsample1"
  497. type: "Upsample"
  498. bottom: "conv_decode2"
  499. bottom: "pool1_mask"
  500. top: "upsample1"
  501. upsample_param {
  502. scale: 2
  503. }
  504. }
  505. layer {
  506. name: "conv_decode1"
  507. type: "Convolution"
  508. bottom: "upsample1"
  509. top: "conv_decode1"
  510. param {
  511. lr_mult: 1
  512. decay_mult: 1
  513. }
  514. param {
  515. lr_mult: 2
  516. decay_mult: 0
  517. }
  518. convolution_param {
  519. num_output: 64
  520. pad: 3
  521. kernel_size: 7
  522. weight_filler {
  523. type: "msra"
  524. }
  525. bias_filler {
  526. type: "constant"
  527. }
  528. }
  529. }
  530. layer {
  531. name: "conv_decode1_bn"
  532. type: "BN"
  533. bottom: "conv_decode1"
  534. top: "conv_decode1"
  535. bn_param {
  536. scale_filler {
  537. type: "constant"
  538. value: 1
  539. }
  540. shift_filler {
  541. type: "constant"
  542. value: 0.001
  543. }
  544. }
  545. }
  546. layer {
  547. name: "conv_classifier"
  548. type: "Convolution"
  549. bottom: "conv_decode1"
  550. top: "conv_classifier"
  551. param {
  552. lr_mult: 1
  553. decay_mult: 1
  554. }
  555. param {
  556. lr_mult: 2
  557. decay_mult: 0
  558. }
  559. convolution_param {
  560. num_output: 3
  561. kernel_size: 1
  562. weight_filler {
  563. type: "msra"
  564. }
  565. bias_filler {
  566. type: "constant"
  567. }
  568. }
  569. }
  570. layer {
  571. name: "loss"
  572. type: "SoftmaxWithLoss"
  573. bottom: "conv_classifier"
  574. bottom: "label"
  575. top: "loss"
  576. loss_param {
  577. weight_by_label_freqs: true
  578. class_weighting: 0.174
  579. class_weighting: 1.551
  580. class_weighting: 1
  581. }
  582. softmax_param {
  583. engine: CAFFE
  584. }
  585. }
  586. layer {
  587. name: "accuracy"
  588. type: "Accuracy"
  589. bottom: "conv_classifier"
  590. bottom: "label"
  591. top: "accuracy"
  592. top: "per_class_accuracy"
  593. }
  594. I0305 12:01:12.806799 7624 layer_factory.hpp:74] Creating layer data
  595. I0305 12:01:12.806808 7624 net.cpp:90] Creating Layer data
  596. I0305 12:01:12.806813 7624 net.cpp:368] data -> data
  597. I0305 12:01:12.806825 7624 net.cpp:368] data -> label
  598. I0305 12:01:12.806833 7624 net.cpp:120] Setting up data
  599. I0305 12:01:12.806834 7624 hdf5_data_layer.cpp:80] Loading list of HDF5 filenames from: /home/petra/data_volumes/CA17_data_volume_saliency_alpha_full/train.txt
  600. I0305 12:01:12.818145 7624 hdf5_data_layer.cpp:94] Number of HDF5 files: 256
  601. I0305 12:01:13.065798 7624 net.cpp:127] Top shape: 1 4 769 1025 (3152900)
  602. I0305 12:01:13.065814 7624 net.cpp:127] Top shape: 1 1 384 512 (196608)
  603. I0305 12:01:13.065819 7624 layer_factory.hpp:74] Creating layer label_data_1_split
  604. I0305 12:01:13.065825 7624 net.cpp:90] Creating Layer label_data_1_split
  605. I0305 12:01:13.065829 7624 net.cpp:410] label_data_1_split <- label
  606. I0305 12:01:13.065837 7624 net.cpp:368] label_data_1_split -> label_data_1_split_0
  607. I0305 12:01:13.065843 7624 net.cpp:368] label_data_1_split -> label_data_1_split_1
  608. I0305 12:01:13.065847 7624 net.cpp:120] Setting up label_data_1_split
  609. I0305 12:01:13.065852 7624 net.cpp:127] Top shape: 1 1 384 512 (196608)
  610. I0305 12:01:13.065855 7624 net.cpp:127] Top shape: 1 1 384 512 (196608)
  611. I0305 12:01:13.065858 7624 layer_factory.hpp:74] Creating layer norm
  612. I0305 12:01:13.065863 7624 net.cpp:90] Creating Layer norm
  613. I0305 12:01:13.065866 7624 net.cpp:410] norm <- data
  614. I0305 12:01:13.065871 7624 net.cpp:368] norm -> norm
  615. I0305 12:01:13.065876 7624 net.cpp:120] Setting up norm
  616. I0305 12:01:13.065881 7624 net.cpp:127] Top shape: 1 4 769 1025 (3152900)
  617. I0305 12:01:13.065883 7624 layer_factory.hpp:74] Creating layer conv0
  618. I0305 12:01:13.065888 7624 net.cpp:90] Creating Layer conv0
  619. I0305 12:01:13.065891 7624 net.cpp:410] conv0 <- norm
  620. I0305 12:01:13.065894 7624 net.cpp:368] conv0 -> conv0
  621. I0305 12:01:13.065901 7624 net.cpp:120] Setting up conv0
  622. I0305 12:01:13.066931 7624 net.cpp:127] Top shape: 1 64 769 1025 (50446400)
  623. I0305 12:01:13.066943 7624 layer_factory.hpp:74] Creating layer conv0_bn
  624. I0305 12:01:13.066949 7624 net.cpp:90] Creating Layer conv0_bn
  625. I0305 12:01:13.066951 7624 net.cpp:410] conv0_bn <- conv0
  626. I0305 12:01:13.066956 7624 net.cpp:357] conv0_bn -> conv0 (in-place)
  627. I0305 12:01:13.066962 7624 net.cpp:120] Setting up conv0_bn
  628. I0305 12:01:13.068586 7624 net.cpp:127] Top shape: 1 64 769 1025 (50446400)
  629. I0305 12:01:13.068593 7624 layer_factory.hpp:74] Creating layer relu0
  630. I0305 12:01:13.068598 7624 net.cpp:90] Creating Layer relu0
  631. I0305 12:01:13.068600 7624 net.cpp:410] relu0 <- conv0
  632. I0305 12:01:13.068603 7624 net.cpp:357] relu0 -> conv0 (in-place)
  633. I0305 12:01:13.068608 7624 net.cpp:120] Setting up relu0
  634. I0305 12:01:13.068611 7624 net.cpp:127] Top shape: 1 64 769 1025 (50446400)
  635. I0305 12:01:13.068614 7624 layer_factory.hpp:74] Creating layer pool0
  636. I0305 12:01:13.068616 7624 net.cpp:90] Creating Layer pool0
  637. I0305 12:01:13.068627 7624 net.cpp:410] pool0 <- conv0
  638. I0305 12:01:13.068631 7624 net.cpp:368] pool0 -> pool0
  639. I0305 12:01:13.068637 7624 net.cpp:368] pool0 -> pool0_mask
  640. I0305 12:01:13.068640 7624 net.cpp:120] Setting up pool0
  641. I0305 12:01:13.068648 7624 net.cpp:127] Top shape: 1 64 384 512 (12582912)
  642. I0305 12:01:13.068657 7624 net.cpp:127] Top shape: 1 64 384 512 (12582912)
  643. I0305 12:01:13.068666 7624 layer_factory.hpp:74] Creating layer conv1
  644. I0305 12:01:13.068670 7624 net.cpp:90] Creating Layer conv1
  645. I0305 12:01:13.068672 7624 net.cpp:410] conv1 <- pool0
  646. I0305 12:01:13.068676 7624 net.cpp:368] conv1 -> conv1
  647. I0305 12:01:13.068682 7624 net.cpp:120] Setting up conv1
  648. I0305 12:01:13.071238 7624 net.cpp:127] Top shape: 1 64 384 512 (12582912)
  649. I0305 12:01:13.071244 7624 layer_factory.hpp:74] Creating layer conv1_bn
  650. I0305 12:01:13.071250 7624 net.cpp:90] Creating Layer conv1_bn
  651. I0305 12:01:13.071252 7624 net.cpp:410] conv1_bn <- conv1
  652. I0305 12:01:13.071256 7624 net.cpp:357] conv1_bn -> conv1 (in-place)
  653. I0305 12:01:13.071259 7624 net.cpp:120] Setting up conv1_bn
  654. I0305 12:01:13.071674 7624 net.cpp:127] Top shape: 1 64 384 512 (12582912)
  655. I0305 12:01:13.071679 7624 layer_factory.hpp:74] Creating layer relu1
  656. I0305 12:01:13.071683 7624 net.cpp:90] Creating Layer relu1
  657. I0305 12:01:13.071686 7624 net.cpp:410] relu1 <- conv1
  658. I0305 12:01:13.071689 7624 net.cpp:357] relu1 -> conv1 (in-place)
  659. I0305 12:01:13.071692 7624 net.cpp:120] Setting up relu1
  660. I0305 12:01:13.071696 7624 net.cpp:127] Top shape: 1 64 384 512 (12582912)
  661. I0305 12:01:13.071697 7624 layer_factory.hpp:74] Creating layer pool1
  662. I0305 12:01:13.071702 7624 net.cpp:90] Creating Layer pool1
  663. I0305 12:01:13.071703 7624 net.cpp:410] pool1 <- conv1
  664. I0305 12:01:13.071707 7624 net.cpp:368] pool1 -> pool1
  665. I0305 12:01:13.071710 7624 net.cpp:368] pool1 -> pool1_mask
  666. I0305 12:01:13.071714 7624 net.cpp:120] Setting up pool1
  667. I0305 12:01:13.071718 7624 net.cpp:127] Top shape: 1 64 192 256 (3145728)
  668. I0305 12:01:13.071720 7624 net.cpp:127] Top shape: 1 64 192 256 (3145728)
  669. I0305 12:01:13.071723 7624 layer_factory.hpp:74] Creating layer conv2
  670. I0305 12:01:13.071727 7624 net.cpp:90] Creating Layer conv2
  671. I0305 12:01:13.071729 7624 net.cpp:410] conv2 <- pool1
  672. I0305 12:01:13.071732 7624 net.cpp:368] conv2 -> conv2
  673. I0305 12:01:13.071736 7624 net.cpp:120] Setting up conv2
  674. I0305 12:01:13.073123 7624 net.cpp:127] Top shape: 1 64 192 256 (3145728)
  675. I0305 12:01:13.073132 7624 layer_factory.hpp:74] Creating layer conv2_bn
  676. I0305 12:01:13.073135 7624 net.cpp:90] Creating Layer conv2_bn
  677. I0305 12:01:13.073138 7624 net.cpp:410] conv2_bn <- conv2
  678. I0305 12:01:13.073143 7624 net.cpp:357] conv2_bn -> conv2 (in-place)
  679. I0305 12:01:13.073145 7624 net.cpp:120] Setting up conv2_bn
  680. I0305 12:01:13.073227 7624 net.cpp:127] Top shape: 1 64 192 256 (3145728)
  681. I0305 12:01:13.073231 7624 layer_factory.hpp:74] Creating layer relu2
  682. I0305 12:01:13.073235 7624 net.cpp:90] Creating Layer relu2
  683. I0305 12:01:13.073238 7624 net.cpp:410] relu2 <- conv2
  684. I0305 12:01:13.073241 7624 net.cpp:357] relu2 -> conv2 (in-place)
  685. I0305 12:01:13.073245 7624 net.cpp:120] Setting up relu2
  686. I0305 12:01:13.073248 7624 net.cpp:127] Top shape: 1 64 192 256 (3145728)
  687. I0305 12:01:13.073251 7624 layer_factory.hpp:74] Creating layer pool2
  688. I0305 12:01:13.073253 7624 net.cpp:90] Creating Layer pool2
  689. I0305 12:01:13.073256 7624 net.cpp:410] pool2 <- conv2
  690. I0305 12:01:13.073259 7624 net.cpp:368] pool2 -> pool2
  691. I0305 12:01:13.073262 7624 net.cpp:368] pool2 -> pool2_mask
  692. I0305 12:01:13.073266 7624 net.cpp:120] Setting up pool2
  693. I0305 12:01:13.073271 7624 net.cpp:127] Top shape: 1 64 96 128 (786432)
  694. I0305 12:01:13.073273 7624 net.cpp:127] Top shape: 1 64 96 128 (786432)
  695. I0305 12:01:13.073276 7624 layer_factory.hpp:74] Creating layer conv3
  696. I0305 12:01:13.073282 7624 net.cpp:90] Creating Layer conv3
  697. I0305 12:01:13.073283 7624 net.cpp:410] conv3 <- pool2
  698. I0305 12:01:13.073288 7624 net.cpp:368] conv3 -> conv3
  699. I0305 12:01:13.073292 7624 net.cpp:120] Setting up conv3
  700. I0305 12:01:13.074652 7624 net.cpp:127] Top shape: 1 64 96 128 (786432)
  701. I0305 12:01:13.074657 7624 layer_factory.hpp:74] Creating layer conv3_bn
  702. I0305 12:01:13.074664 7624 net.cpp:90] Creating Layer conv3_bn
  703. I0305 12:01:13.074667 7624 net.cpp:410] conv3_bn <- conv3
  704. I0305 12:01:13.074671 7624 net.cpp:357] conv3_bn -> conv3 (in-place)
  705. I0305 12:01:13.074677 7624 net.cpp:120] Setting up conv3_bn
  706. I0305 12:01:13.074717 7624 net.cpp:127] Top shape: 1 64 96 128 (786432)
  707. I0305 12:01:13.074720 7624 layer_factory.hpp:74] Creating layer relu3
  708. I0305 12:01:13.074724 7624 net.cpp:90] Creating Layer relu3
  709. I0305 12:01:13.074726 7624 net.cpp:410] relu3 <- conv3
  710. I0305 12:01:13.074730 7624 net.cpp:357] relu3 -> conv3 (in-place)
  711. I0305 12:01:13.074733 7624 net.cpp:120] Setting up relu3
  712. I0305 12:01:13.074736 7624 net.cpp:127] Top shape: 1 64 96 128 (786432)
  713. I0305 12:01:13.074738 7624 layer_factory.hpp:74] Creating layer pool3
  714. I0305 12:01:13.074743 7624 net.cpp:90] Creating Layer pool3
  715. I0305 12:01:13.074744 7624 net.cpp:410] pool3 <- conv3
  716. I0305 12:01:13.074748 7624 net.cpp:368] pool3 -> pool3
  717. I0305 12:01:13.074750 7624 net.cpp:368] pool3 -> pool3_mask
  718. I0305 12:01:13.074755 7624 net.cpp:120] Setting up pool3
  719. I0305 12:01:13.074759 7624 net.cpp:127] Top shape: 1 64 48 64 (196608)
  720. I0305 12:01:13.074764 7624 net.cpp:127] Top shape: 1 64 48 64 (196608)
  721. I0305 12:01:13.074765 7624 layer_factory.hpp:74] Creating layer conv4
  722. I0305 12:01:13.074769 7624 net.cpp:90] Creating Layer conv4
  723. I0305 12:01:13.074771 7624 net.cpp:410] conv4 <- pool3
  724. I0305 12:01:13.074775 7624 net.cpp:368] conv4 -> conv4
  725. I0305 12:01:13.074779 7624 net.cpp:120] Setting up conv4
  726. I0305 12:01:13.076128 7624 net.cpp:127] Top shape: 1 64 48 64 (196608)
  727. I0305 12:01:13.076134 7624 layer_factory.hpp:74] Creating layer conv4_bn
  728. I0305 12:01:13.076138 7624 net.cpp:90] Creating Layer conv4_bn
  729. I0305 12:01:13.076140 7624 net.cpp:410] conv4_bn <- conv4
  730. I0305 12:01:13.076143 7624 net.cpp:357] conv4_bn -> conv4 (in-place)
  731. I0305 12:01:13.076148 7624 net.cpp:120] Setting up conv4_bn
  732. I0305 12:01:13.076161 7624 net.cpp:127] Top shape: 1 64 48 64 (196608)
  733. I0305 12:01:13.076165 7624 layer_factory.hpp:74] Creating layer relu4
  734. I0305 12:01:13.076169 7624 net.cpp:90] Creating Layer relu4
  735. I0305 12:01:13.076171 7624 net.cpp:410] relu4 <- conv4
  736. I0305 12:01:13.076175 7624 net.cpp:357] relu4 -> conv4 (in-place)
  737. I0305 12:01:13.076179 7624 net.cpp:120] Setting up relu4
  738. I0305 12:01:13.076182 7624 net.cpp:127] Top shape: 1 64 48 64 (196608)
  739. I0305 12:01:13.076184 7624 layer_factory.hpp:74] Creating layer pool4
  740. I0305 12:01:13.076187 7624 net.cpp:90] Creating Layer pool4
  741. I0305 12:01:13.076189 7624 net.cpp:410] pool4 <- conv4
  742. I0305 12:01:13.076194 7624 net.cpp:368] pool4 -> pool4
  743. I0305 12:01:13.076197 7624 net.cpp:368] pool4 -> pool4_mask
  744. I0305 12:01:13.076200 7624 net.cpp:120] Setting up pool4
  745. I0305 12:01:13.076205 7624 net.cpp:127] Top shape: 1 64 24 32 (49152)
  746. I0305 12:01:13.076207 7624 net.cpp:127] Top shape: 1 64 24 32 (49152)
  747. I0305 12:01:13.076210 7624 layer_factory.hpp:74] Creating layer upsample4
  748. I0305 12:01:13.076215 7624 net.cpp:90] Creating Layer upsample4
  749. I0305 12:01:13.076216 7624 net.cpp:410] upsample4 <- pool4
  750. I0305 12:01:13.076220 7624 net.cpp:410] upsample4 <- pool4_mask
  751. I0305 12:01:13.076223 7624 net.cpp:368] upsample4 -> upsample4
  752. I0305 12:01:13.076228 7624 net.cpp:120] Setting up upsample4
  753. I0305 12:01:13.076231 7624 upsample_layer.cpp:31] Params 'pad_out_{}_' are deprecated. Please declare upsample height and width useing the upsample_h, upsample_w parameters.
  754. I0305 12:01:13.076236 7624 net.cpp:127] Top shape: 1 64 48 64 (196608)
  755. I0305 12:01:13.076237 7624 layer_factory.hpp:74] Creating layer conv_decode4
  756. I0305 12:01:13.076241 7624 net.cpp:90] Creating Layer conv_decode4
  757. I0305 12:01:13.076243 7624 net.cpp:410] conv_decode4 <- upsample4
  758. I0305 12:01:13.076247 7624 net.cpp:368] conv_decode4 -> conv_decode4
  759. I0305 12:01:13.076252 7624 net.cpp:120] Setting up conv_decode4
  760. I0305 12:01:13.078601 7624 net.cpp:127] Top shape: 1 64 48 64 (196608)
  761. I0305 12:01:13.078606 7624 layer_factory.hpp:74] Creating layer conv_decode4_bn
  762. I0305 12:01:13.078611 7624 net.cpp:90] Creating Layer conv_decode4_bn
  763. I0305 12:01:13.078614 7624 net.cpp:410] conv_decode4_bn <- conv_decode4
  764. I0305 12:01:13.078617 7624 net.cpp:357] conv_decode4_bn -> conv_decode4 (in-place)
  765. I0305 12:01:13.078624 7624 net.cpp:120] Setting up conv_decode4_bn
  766. I0305 12:01:13.078642 7624 net.cpp:127] Top shape: 1 64 48 64 (196608)
  767. I0305 12:01:13.078646 7624 layer_factory.hpp:74] Creating layer upsample3
  768. I0305 12:01:13.078650 7624 net.cpp:90] Creating Layer upsample3
  769. I0305 12:01:13.078652 7624 net.cpp:410] upsample3 <- conv_decode4
  770. I0305 12:01:13.078655 7624 net.cpp:410] upsample3 <- pool3_mask
  771. I0305 12:01:13.078658 7624 net.cpp:368] upsample3 -> upsample3
  772. I0305 12:01:13.078662 7624 net.cpp:120] Setting up upsample3
  773. I0305 12:01:13.078665 7624 upsample_layer.cpp:31] Params 'pad_out_{}_' are deprecated. Please declare upsample height and width useing the upsample_h, upsample_w parameters.
  774. I0305 12:01:13.078668 7624 net.cpp:127] Top shape: 1 64 96 128 (786432)
  775. I0305 12:01:13.078670 7624 layer_factory.hpp:74] Creating layer conv_decode3
  776. I0305 12:01:13.078675 7624 net.cpp:90] Creating Layer conv_decode3
  777. I0305 12:01:13.078678 7624 net.cpp:410] conv_decode3 <- upsample3
  778. I0305 12:01:13.078681 7624 net.cpp:368] conv_decode3 -> conv_decode3
  779. I0305 12:01:13.078686 7624 net.cpp:120] Setting up conv_decode3
  780. I0305 12:01:13.080047 7624 net.cpp:127] Top shape: 1 64 96 128 (786432)
  781. I0305 12:01:13.080052 7624 layer_factory.hpp:74] Creating layer conv_decode3_bn
  782. I0305 12:01:13.080057 7624 net.cpp:90] Creating Layer conv_decode3_bn
  783. I0305 12:01:13.080060 7624 net.cpp:410] conv_decode3_bn <- conv_decode3
  784. I0305 12:01:13.080063 7624 net.cpp:357] conv_decode3_bn -> conv_decode3 (in-place)
  785. I0305 12:01:13.080066 7624 net.cpp:120] Setting up conv_decode3_bn
  786. I0305 12:01:13.080101 7624 net.cpp:127] Top shape: 1 64 96 128 (786432)
  787. I0305 12:01:13.080106 7624 layer_factory.hpp:74] Creating layer upsample2
  788. I0305 12:01:13.080109 7624 net.cpp:90] Creating Layer upsample2
  789. I0305 12:01:13.080111 7624 net.cpp:410] upsample2 <- conv_decode3
  790. I0305 12:01:13.080114 7624 net.cpp:410] upsample2 <- pool2_mask
  791. I0305 12:01:13.080118 7624 net.cpp:368] upsample2 -> upsample2
  792. I0305 12:01:13.080121 7624 net.cpp:120] Setting up upsample2
  793. I0305 12:01:13.080123 7624 upsample_layer.cpp:31] Params 'pad_out_{}_' are deprecated. Please declare upsample height and width useing the upsample_h, upsample_w parameters.
  794. I0305 12:01:13.080127 7624 net.cpp:127] Top shape: 1 64 192 256 (3145728)
  795. I0305 12:01:13.080130 7624 layer_factory.hpp:74] Creating layer conv_decode2
  796. I0305 12:01:13.080134 7624 net.cpp:90] Creating Layer conv_decode2
  797. I0305 12:01:13.080137 7624 net.cpp:410] conv_decode2 <- upsample2
  798. I0305 12:01:13.080140 7624 net.cpp:368] conv_decode2 -> conv_decode2
  799. I0305 12:01:13.080144 7624 net.cpp:120] Setting up conv_decode2
  800. I0305 12:01:13.081552 7624 net.cpp:127] Top shape: 1 64 192 256 (3145728)
  801. I0305 12:01:13.081557 7624 layer_factory.hpp:74] Creating layer conv_decode2_bn
  802. I0305 12:01:13.081562 7624 net.cpp:90] Creating Layer conv_decode2_bn
  803. I0305 12:01:13.081563 7624 net.cpp:410] conv_decode2_bn <- conv_decode2
  804. I0305 12:01:13.081568 7624 net.cpp:357] conv_decode2_bn -> conv_decode2 (in-place)
  805. I0305 12:01:13.081570 7624 net.cpp:120] Setting up conv_decode2_bn
  806. I0305 12:01:13.081682 7624 net.cpp:127] Top shape: 1 64 192 256 (3145728)
  807. I0305 12:01:13.081686 7624 layer_factory.hpp:74] Creating layer upsample1
  808. I0305 12:01:13.081693 7624 net.cpp:90] Creating Layer upsample1
  809. I0305 12:01:13.081696 7624 net.cpp:410] upsample1 <- conv_decode2
  810. I0305 12:01:13.081699 7624 net.cpp:410] upsample1 <- pool1_mask
  811. I0305 12:01:13.081702 7624 net.cpp:368] upsample1 -> upsample1
  812. I0305 12:01:13.081707 7624 net.cpp:120] Setting up upsample1
  813. I0305 12:01:13.081708 7624 upsample_layer.cpp:31] Params 'pad_out_{}_' are deprecated. Please declare upsample height and width useing the upsample_h, upsample_w parameters.
  814. I0305 12:01:13.081712 7624 net.cpp:127] Top shape: 1 64 384 512 (12582912)
  815. I0305 12:01:13.081714 7624 layer_factory.hpp:74] Creating layer conv_decode1
  816. I0305 12:01:13.081718 7624 net.cpp:90] Creating Layer conv_decode1
  817. I0305 12:01:13.081720 7624 net.cpp:410] conv_decode1 <- upsample1
  818. I0305 12:01:13.081725 7624 net.cpp:368] conv_decode1 -> conv_decode1
  819. I0305 12:01:13.081732 7624 net.cpp:120] Setting up conv_decode1
  820. I0305 12:01:13.083287 7624 net.cpp:127] Top shape: 1 64 384 512 (12582912)
  821. I0305 12:01:13.083295 7624 layer_factory.hpp:74] Creating layer conv_decode1_bn
  822. I0305 12:01:13.083299 7624 net.cpp:90] Creating Layer conv_decode1_bn
  823. I0305 12:01:13.083302 7624 net.cpp:410] conv_decode1_bn <- conv_decode1
  824. I0305 12:01:13.083307 7624 net.cpp:357] conv_decode1_bn -> conv_decode1 (in-place)
  825. I0305 12:01:13.083310 7624 net.cpp:120] Setting up conv_decode1_bn
  826. I0305 12:01:13.083724 7624 net.cpp:127] Top shape: 1 64 384 512 (12582912)
  827. I0305 12:01:13.083729 7624 layer_factory.hpp:74] Creating layer conv_classifier
  828. I0305 12:01:13.083734 7624 net.cpp:90] Creating Layer conv_classifier
  829. I0305 12:01:13.083735 7624 net.cpp:410] conv_classifier <- conv_decode1
  830. I0305 12:01:13.083740 7624 net.cpp:368] conv_classifier -> conv_classifier
  831. I0305 12:01:13.083743 7624 net.cpp:120] Setting up conv_classifier
  832. I0305 12:01:13.083962 7624 net.cpp:127] Top shape: 1 3 384 512 (589824)
  833. I0305 12:01:13.083967 7624 layer_factory.hpp:74] Creating layer conv_classifier_conv_classifier_0_split
  834. I0305 12:01:13.083971 7624 net.cpp:90] Creating Layer conv_classifier_conv_classifier_0_split
  835. I0305 12:01:13.083973 7624 net.cpp:410] conv_classifier_conv_classifier_0_split <- conv_classifier
  836. I0305 12:01:13.083978 7624 net.cpp:368] conv_classifier_conv_classifier_0_split -> conv_classifier_conv_classifier_0_split_0
  837. I0305 12:01:13.083982 7624 net.cpp:368] conv_classifier_conv_classifier_0_split -> conv_classifier_conv_classifier_0_split_1
  838. I0305 12:01:13.083986 7624 net.cpp:120] Setting up conv_classifier_conv_classifier_0_split
  839. I0305 12:01:13.083990 7624 net.cpp:127] Top shape: 1 3 384 512 (589824)
  840. I0305 12:01:13.083993 7624 net.cpp:127] Top shape: 1 3 384 512 (589824)
  841. I0305 12:01:13.083995 7624 layer_factory.hpp:74] Creating layer loss
  842. I0305 12:01:13.084002 7624 net.cpp:90] Creating Layer loss
  843. I0305 12:01:13.084004 7624 net.cpp:410] loss <- conv_classifier_conv_classifier_0_split_0
  844. I0305 12:01:13.084007 7624 net.cpp:410] loss <- label_data_1_split_0
  845. I0305 12:01:13.084010 7624 net.cpp:368] loss -> loss
  846. I0305 12:01:13.084022 7624 net.cpp:120] Setting up loss
  847. I0305 12:01:13.084026 7624 layer_factory.hpp:74] Creating layer loss
  848. I0305 12:01:13.084664 7624 net.cpp:127] Top shape: (1)
  849. I0305 12:01:13.084668 7624 net.cpp:129] with loss weight 1
  850. I0305 12:01:13.084681 7624 layer_factory.hpp:74] Creating layer accuracy
  851. I0305 12:01:13.084684 7624 net.cpp:90] Creating Layer accuracy
  852. I0305 12:01:13.084687 7624 net.cpp:410] accuracy <- conv_classifier_conv_classifier_0_split_1
  853. I0305 12:01:13.084691 7624 net.cpp:410] accuracy <- label_data_1_split_1
  854. I0305 12:01:13.084694 7624 net.cpp:368] accuracy -> accuracy
  855. I0305 12:01:13.084702 7624 net.cpp:368] accuracy -> per_class_accuracy
  856. I0305 12:01:13.084707 7624 net.cpp:120] Setting up accuracy
  857. I0305 12:01:13.084709 7624 accuracy_layer.cpp:24] Per-class accuracies currently only work on TRAIN phase only.
  858. I0305 12:01:13.084713 7624 net.cpp:127] Top shape: (1)
  859. I0305 12:01:13.084717 7624 net.cpp:127] Top shape: 3 1 1 1 (3)
  860. I0305 12:01:13.084719 7624 net.cpp:194] accuracy does not need backward computation.
  861. I0305 12:01:13.084722 7624 net.cpp:192] loss needs backward computation.
  862. I0305 12:01:13.084724 7624 net.cpp:192] conv_classifier_conv_classifier_0_split needs backward computation.
  863. I0305 12:01:13.084728 7624 net.cpp:192] conv_classifier needs backward computation.
  864. I0305 12:01:13.084729 7624 net.cpp:192] conv_decode1_bn needs backward computation.
  865. I0305 12:01:13.084731 7624 net.cpp:192] conv_decode1 needs backward computation.
  866. I0305 12:01:13.084734 7624 net.cpp:192] upsample1 needs backward computation.
  867. I0305 12:01:13.084738 7624 net.cpp:192] conv_decode2_bn needs backward computation.
  868. I0305 12:01:13.084739 7624 net.cpp:192] conv_decode2 needs backward computation.
  869. I0305 12:01:13.084741 7624 net.cpp:192] upsample2 needs backward computation.
  870. I0305 12:01:13.084744 7624 net.cpp:192] conv_decode3_bn needs backward computation.
  871. I0305 12:01:13.084749 7624 net.cpp:192] conv_decode3 needs backward computation.
  872. I0305 12:01:13.084755 7624 net.cpp:192] upsample3 needs backward computation.
  873. I0305 12:01:13.084758 7624 net.cpp:192] conv_decode4_bn needs backward computation.
  874. I0305 12:01:13.084760 7624 net.cpp:192] conv_decode4 needs backward computation.
  875. I0305 12:01:13.084764 7624 net.cpp:192] upsample4 needs backward computation.
  876. I0305 12:01:13.084765 7624 net.cpp:192] pool4 needs backward computation.
  877. I0305 12:01:13.084769 7624 net.cpp:192] relu4 needs backward computation.
  878. I0305 12:01:13.084770 7624 net.cpp:192] conv4_bn needs backward computation.
  879. I0305 12:01:13.084774 7624 net.cpp:192] conv4 needs backward computation.
  880. I0305 12:01:13.084775 7624 net.cpp:192] pool3 needs backward computation.
  881. I0305 12:01:13.084777 7624 net.cpp:192] relu3 needs backward computation.
  882. I0305 12:01:13.084780 7624 net.cpp:192] conv3_bn needs backward computation.
  883. I0305 12:01:13.084782 7624 net.cpp:192] conv3 needs backward computation.
  884. I0305 12:01:13.084784 7624 net.cpp:192] pool2 needs backward computation.
  885. I0305 12:01:13.084786 7624 net.cpp:192] relu2 needs backward computation.
  886. I0305 12:01:13.084789 7624 net.cpp:192] conv2_bn needs backward computation.
  887. I0305 12:01:13.084791 7624 net.cpp:192] conv2 needs backward computation.
  888. I0305 12:01:13.084794 7624 net.cpp:192] pool1 needs backward computation.
  889. I0305 12:01:13.084796 7624 net.cpp:192] relu1 needs backward computation.
  890. I0305 12:01:13.084798 7624 net.cpp:192] conv1_bn needs backward computation.
  891. I0305 12:01:13.084800 7624 net.cpp:192] conv1 needs backward computation.
  892. I0305 12:01:13.084803 7624 net.cpp:192] pool0 needs backward computation.
  893. I0305 12:01:13.084805 7624 net.cpp:192] relu0 needs backward computation.
  894. I0305 12:01:13.084808 7624 net.cpp:192] conv0_bn needs backward computation.
  895. I0305 12:01:13.084810 7624 net.cpp:192] conv0 needs backward computation.
  896. I0305 12:01:13.084812 7624 net.cpp:194] norm does not need backward computation.
  897. I0305 12:01:13.084815 7624 net.cpp:194] label_data_1_split does not need backward computation.
  898. I0305 12:01:13.084818 7624 net.cpp:194] data does not need backward computation.
  899. I0305 12:01:13.084820 7624 net.cpp:235] This network produces output accuracy
  900. I0305 12:01:13.084823 7624 net.cpp:235] This network produces output loss
  901. I0305 12:01:13.084825 7624 net.cpp:235] This network produces output per_class_accuracy
  902. I0305 12:01:13.084828 7624 net.cpp:235] This network produces output pool0_mask
  903. I0305 12:01:13.084846 7624 net.cpp:482] Collecting Learning Rate and Weight Decay.
  904. I0305 12:01:13.084851 7624 net.cpp:247] Network initialization done.
  905. I0305 12:01:13.084854 7624 net.cpp:248] Memory required for data: 1175184180
  906. I0305 12:01:13.085095 7624 solver.cpp:154] Creating test net (#0) specified by net file: /home/petra/SegNet-Tutorial/Models/segnet_basic_h5_train_CA17_full_saliency_alpha_FS.prototxt
  907. I0305 12:01:13.085263 7624 net.cpp:42] Initializing net from parameters:
  908. name: "segnet"
  909. state {
  910. phase: TEST
  911. }
  912. layer {
  913. name: "data"
  914. type: "HDF5Data"
  915. top: "data"
  916. top: "label"
  917. hdf5_data_param {
  918. source: "/home/petra/data_volumes/CA17_data_volume_saliency_alpha_full/train.txt"
  919. batch_size: 1
  920. shuffle: true
  921. }
  922. }
  923. layer {
  924. name: "norm"
  925. type: "LRN"
  926. bottom: "data"
  927. top: "norm"
  928. lrn_param {
  929. local_size: 5
  930. alpha: 0.0001
  931. beta: 0.75
  932. }
  933. }
  934. layer {
  935. name: "conv0"
  936. type: "Convolution"
  937. bottom: "norm"
  938. top: "conv0"
  939. param {
  940. lr_mult: 1
  941. decay_mult: 1
  942. }
  943. param {
  944. lr_mult: 2
  945. decay_mult: 0
  946. }
  947. convolution_param {
  948. num_output: 64
  949. pad: 3
  950. kernel_size: 7
  951. weight_filler {
  952. type: "msra"
  953. }
  954. bias_filler {
  955. type: "constant"
  956. }
  957. }
  958. }
  959. layer {
  960. name: "conv0_bn"
  961. type: "BN"
  962. bottom: "conv0"
  963. top: "conv0"
  964. bn_param {
  965. scale_filler {
  966. type: "constant"
  967. value: 1
  968. }
  969. shift_filler {
  970. type: "constant"
  971. value: 0.001
  972. }
  973. }
  974. }
  975. layer {
  976. name: "relu0"
  977. type: "ReLU"
  978. bottom: "conv0"
  979. top: "conv0"
  980. }
  981. layer {
  982. name: "pool0"
  983. type: "Pooling"
  984. bottom: "conv0"
  985. top: "pool0"
  986. top: "pool0_mask"
  987. pooling_param {
  988. pool: MAX
  989. kernel_size: 3
  990. stride: 2
  991. }
  992. }
  993. layer {
  994. name: "conv1"
  995. type: "Convolution"
  996. bottom: "pool0"
  997. top: "conv1"
  998. param {
  999. lr_mult: 1
  1000. decay_mult: 1
  1001. }
  1002. param {
  1003. lr_mult: 2
  1004. decay_mult: 0
  1005. }
  1006. convolution_param {
  1007. num_output: 64
  1008. pad: 3
  1009. kernel_size: 7
  1010. weight_filler {
  1011. type: "msra"
  1012. }
  1013. bias_filler {
  1014. type: "constant"
  1015. }
  1016. }
  1017. }
  1018. layer {
  1019. name: "conv1_bn"
  1020. type: "BN"
  1021. bottom: "conv1"
  1022. top: "conv1"
  1023. bn_param {
  1024. scale_filler {
  1025. type: "constant"
  1026. value: 1
  1027. }
  1028. shift_filler {
  1029. type: "constant"
  1030. value: 0.001
  1031. }
  1032. }
  1033. }
  1034. layer {
  1035. name: "relu1"
  1036. type: "ReLU"
  1037. bottom: "conv1"
  1038. top: "conv1"
  1039. }
  1040. layer {
  1041. name: "pool1"
  1042. type: "Pooling"
  1043. bottom: "conv1"
  1044. top: "pool1"
  1045. top: "pool1_mask"
  1046. pooling_param {
  1047. pool: MAX
  1048. kernel_size: 2
  1049. stride: 2
  1050. }
  1051. }
  1052. layer {
  1053. name: "conv2"
  1054. type: "Convolution"
  1055. bottom: "pool1"
  1056. top: "conv2"
  1057. param {
  1058. lr_mult: 1
  1059. decay_mult: 1
  1060. }
  1061. param {
  1062. lr_mult: 2
  1063. decay_mult: 0
  1064. }
  1065. convolution_param {
  1066. num_output: 64
  1067. pad: 3
  1068. kernel_size: 7
  1069. weight_filler {
  1070. type: "msra"
  1071. }
  1072. bias_filler {
  1073. type: "constant"
  1074. }
  1075. }
  1076. }
  1077. layer {
  1078. name: "conv2_bn"
  1079. type: "BN"
  1080. bottom: "conv2"
  1081. top: "conv2"
  1082. bn_param {
  1083. scale_filler {
  1084. type: "constant"
  1085. value: 1
  1086. }
  1087. shift_filler {
  1088. type: "constant"
  1089. value: 0.001
  1090. }
  1091. }
  1092. }
  1093. layer {
  1094. name: "relu2"
  1095. type: "ReLU"
  1096. bottom: "conv2"
  1097. top: "conv2"
  1098. }
  1099. layer {
  1100. name: "pool2"
  1101. type: "Pooling"
  1102. bottom: "conv2"
  1103. top: "pool2"
  1104. top: "pool2_mask"
  1105. pooling_param {
  1106. pool: MAX
  1107. kernel_size: 2
  1108. stride: 2
  1109. }
  1110. }
  1111. layer {
  1112. name: "conv3"
  1113. type: "Convolution"
  1114. bottom: "pool2"
  1115. top: "conv3"
  1116. param {
  1117. lr_mult: 1
  1118. decay_mult: 1
  1119. }
  1120. param {
  1121. lr_mult: 2
  1122. decay_mult: 0
  1123. }
  1124. convolution_param {
  1125. num_output: 64
  1126. pad: 3
  1127. kernel_size: 7
  1128. weight_filler {
  1129. type: "msra"
  1130. }
  1131. bias_filler {
  1132. type: "constant"
  1133. }
  1134. }
  1135. }
  1136. layer {
  1137. name: "conv3_bn"
  1138. type: "BN"
  1139. bottom: "conv3"
  1140. top: "conv3"
  1141. bn_param {
  1142. scale_filler {
  1143. type: "constant"
  1144. value: 1
  1145. }
  1146. shift_filler {
  1147. type: "constant"
  1148. value: 0.001
  1149. }
  1150. }
  1151. }
  1152. layer {
  1153. name: "relu3"
  1154. type: "ReLU"
  1155. bottom: "conv3"
  1156. top: "conv3"
  1157. }
  1158. layer {
  1159. name: "pool3"
  1160. type: "Pooling"
  1161. bottom: "conv3"
  1162. top: "pool3"
  1163. top: "pool3_mask"
  1164. pooling_param {
  1165. pool: MAX
  1166. kernel_size: 2
  1167. stride: 2
  1168. }
  1169. }
  1170. layer {
  1171. name: "conv4"
  1172. type: "Convolution"
  1173. bottom: "pool3"
  1174. top: "conv4"
  1175. param {
  1176. lr_mult: 1
  1177. decay_mult: 1
  1178. }
  1179. param {
  1180. lr_mult: 2
  1181. decay_mult: 0
  1182. }
  1183. convolution_param {
  1184. num_output: 64
  1185. pad: 3
  1186. kernel_size: 7
  1187. weight_filler {
  1188. type: "msra"
  1189. }
  1190. bias_filler {
  1191. type: "constant"
  1192. }
  1193. }
  1194. }
  1195. layer {
  1196. name: "conv4_bn"
  1197. type: "BN"
  1198. bottom: "conv4"
  1199. top: "conv4"
  1200. bn_param {
  1201. scale_filler {
  1202. type: "constant"
  1203. value: 1
  1204. }
  1205. shift_filler {
  1206. type: "constant"
  1207. value: 0.001
  1208. }
  1209. }
  1210. }
  1211. layer {
  1212. name: "relu4"
  1213. type: "ReLU"
  1214. bottom: "conv4"
  1215. top: "conv4"
  1216. }
  1217. layer {
  1218. name: "pool4"
  1219. type: "Pooling"
  1220. bottom: "conv4"
  1221. top: "pool4"
  1222. top: "pool4_mask"
  1223. pooling_param {
  1224. pool: MAX
  1225. kernel_size: 2
  1226. stride: 2
  1227. }
  1228. }
  1229. layer {
  1230. name: "upsample4"
  1231. type: "Upsample"
  1232. bottom: "pool4"
  1233. bottom: "pool4_mask"
  1234. top: "upsample4"
  1235. upsample_param {
  1236. scale: 2
  1237. }
  1238. }
  1239. layer {
  1240. name: "conv_decode4"
  1241. type: "Convolution"
  1242. bottom: "upsample4"
  1243. top: "conv_decode4"
  1244. param {
  1245. lr_mult: 1
  1246. decay_mult: 1
  1247. }
  1248. param {
  1249. lr_mult: 2
  1250. decay_mult: 0
  1251. }
  1252. convolution_param {
  1253. num_output: 64
  1254. pad: 3
  1255. kernel_size: 7
  1256. weight_filler {
  1257. type: "msra"
  1258. }
  1259. bias_filler {
  1260. type: "constant"
  1261. }
  1262. }
  1263. }
  1264. layer {
  1265. name: "conv_decode4_bn"
  1266. type: "BN"
  1267. bottom: "conv_decode4"
  1268. top: "conv_decode4"
  1269. bn_param {
  1270. scale_filler {
  1271. type: "constant"
  1272. value: 1
  1273. }
  1274. shift_filler {
  1275. type: "constant"
  1276. value: 0.001
  1277. }
  1278. }
  1279. }
  1280. layer {
  1281. name: "upsample3"
  1282. type: "Upsample"
  1283. bottom: "conv_decode4"
  1284. bottom: "pool3_mask"
  1285. top: "upsample3"
  1286. upsample_param {
  1287. scale: 2
  1288. }
  1289. }
  1290. layer {
  1291. name: "conv_decode3"
  1292. type: "Convolution"
  1293. bottom: "upsample3"
  1294. top: "conv_decode3"
  1295. param {
  1296. lr_mult: 1
  1297. decay_mult: 1
  1298. }
  1299. param {
  1300. lr_mult: 2
  1301. decay_mult: 0
  1302. }
  1303. convolution_param {
  1304. num_output: 64
  1305. pad: 3
  1306. kernel_size: 7
  1307. weight_filler {
  1308. type: "msra"
  1309. }
  1310. bias_filler {
  1311. type: "constant"
  1312. }
  1313. }
  1314. }
  1315. layer {
  1316. name: "conv_decode3_bn"
  1317. type: "BN"
  1318. bottom: "conv_decode3"
  1319. top: "conv_decode3"
  1320. bn_param {
  1321. scale_filler {
  1322. type: "constant"
  1323. value: 1
  1324. }
  1325. shift_filler {
  1326. type: "constant"
  1327. value: 0.001
  1328. }
  1329. }
  1330. }
  1331. layer {
  1332. name: "upsample2"
  1333. type: "Upsample"
  1334. bottom: "conv_decode3"
  1335. bottom: "pool2_mask"
  1336. top: "upsample2"
  1337. upsample_param {
  1338. scale: 2
  1339. }
  1340. }
  1341. layer {
  1342. name: "conv_decode2"
  1343. type: "Convolution"
  1344. bottom: "upsample2"
  1345. top: "conv_decode2"
  1346. param {
  1347. lr_mult: 1
  1348. decay_mult: 1
  1349. }
  1350. param {
  1351. lr_mult: 2
  1352. decay_mult: 0
  1353. }
  1354. convolution_param {
  1355. num_output: 64
  1356. pad: 3
  1357. kernel_size: 7
  1358. weight_filler {
  1359. type: "msra"
  1360. }
  1361. bias_filler {
  1362. type: "constant"
  1363. }
  1364. }
  1365. }
  1366. layer {
  1367. name: "conv_decode2_bn"
  1368. type: "BN"
  1369. bottom: "conv_decode2"
  1370. top: "conv_decode2"
  1371. bn_param {
  1372. scale_filler {
  1373. type: "constant"
  1374. value: 1
  1375. }
  1376. shift_filler {
  1377. type: "constant"
  1378. value: 0.001
  1379. }
  1380. }
  1381. }
  1382. layer {
  1383. name: "upsample1"
  1384. type: "Upsample"
  1385. bottom: "conv_decode2"
  1386. bottom: "pool1_mask"
  1387. top: "upsample1"
  1388. upsample_param {
  1389. scale: 2
  1390. }
  1391. }
  1392. layer {
  1393. name: "conv_decode1"
  1394. type: "Convolution"
  1395. bottom: "upsample1"
  1396. top: "conv_decode1"
  1397. param {
  1398. lr_mult: 1
  1399. decay_mult: 1
  1400. }
  1401. param {
  1402. lr_mult: 2
  1403. decay_mult: 0
  1404. }
  1405. convolution_param {
  1406. num_output: 64
  1407. pad: 3
  1408. kernel_size: 7
  1409. weight_filler {
  1410. type: "msra"
  1411. }
  1412. bias_filler {
  1413. type: "constant"
  1414. }
  1415. }
  1416. }
  1417. layer {
  1418. name: "conv_decode1_bn"
  1419. type: "BN"
  1420. bottom: "conv_decode1"
  1421. top: "conv_decode1"
  1422. bn_param {
  1423. scale_filler {
  1424. type: "constant"
  1425. value: 1
  1426. }
  1427. shift_filler {
  1428. type: "constant"
  1429. value: 0.001
  1430. }
  1431. }
  1432. }
  1433. layer {
  1434. name: "conv_classifier"
  1435. type: "Convolution"
  1436. bottom: "conv_decode1"
  1437. top: "conv_classifier"
  1438. param {
  1439. lr_mult: 1
  1440. decay_mult: 1
  1441. }
  1442. param {
  1443. lr_mult: 2
  1444. decay_mult: 0
  1445. }
  1446. convolution_param {
  1447. num_output: 3
  1448. kernel_size: 1
  1449. weight_filler {
  1450. type: "msra"
  1451. }
  1452. bias_filler {
  1453. type: "constant"
  1454. }
  1455. }
  1456. }
  1457. layer {
  1458. name: "loss"
  1459. type: "SoftmaxWithLoss"
  1460. bottom: "conv_classifier"
  1461. bottom: "label"
  1462. top: "loss"
  1463. loss_param {
  1464. weight_by_label_freqs: true
  1465. class_weighting: 0.174
  1466. class_weighting: 1.551
  1467. class_weighting: 1
  1468. }
  1469. softmax_param {
  1470. engine: CAFFE
  1471. }
  1472. }
  1473. layer {
  1474. name: "accuracy"
  1475. type: "Accuracy"
  1476. bottom: "conv_classifier"
  1477. bottom: "label"
  1478. top: "accuracy"
  1479. top: "per_class_accuracy"
  1480. }
  1481. I0305 12:01:13.085353 7624 layer_factory.hpp:74] Creating layer data
  1482. I0305 12:01:13.085359 7624 net.cpp:90] Creating Layer data
  1483. I0305 12:01:13.085362 7624 net.cpp:368] data -> data
  1484. I0305 12:01:13.085367 7624 net.cpp:368] data -> label
  1485. I0305 12:01:13.085371 7624 net.cpp:120] Setting up data
  1486. I0305 12:01:13.085373 7624 hdf5_data_layer.cpp:80] Loading list of HDF5 filenames from: /home/petra/data_volumes/CA17_data_volume_saliency_alpha_full/train.txt
  1487. I0305 12:01:13.085450 7624 hdf5_data_layer.cpp:94] Number of HDF5 files: 256
  1488. I0305 12:01:13.248162 7624 net.cpp:127] Top shape: 1 4 769 1025 (3152900)
  1489. I0305 12:01:13.248178 7624 net.cpp:127] Top shape: 1 1 384 512 (196608)
  1490. I0305 12:01:13.248183 7624 layer_factory.hpp:74] Creating layer label_data_1_split
  1491. I0305 12:01:13.248190 7624 net.cpp:90] Creating Layer label_data_1_split
  1492. I0305 12:01:13.248193 7624 net.cpp:410] label_data_1_split <- label
  1493. I0305 12:01:13.248198 7624 net.cpp:368] label_data_1_split -> label_data_1_split_0
  1494. I0305 12:01:13.248204 7624 net.cpp:368] label_data_1_split -> label_data_1_split_1
  1495. I0305 12:01:13.248214 7624 net.cpp:120] Setting up label_data_1_split
  1496. I0305 12:01:13.248224 7624 net.cpp:127] Top shape: 1 1 384 512 (196608)
  1497. I0305 12:01:13.248226 7624 net.cpp:127] Top shape: 1 1 384 512 (196608)
  1498. I0305 12:01:13.248229 7624 layer_factory.hpp:74] Creating layer norm
  1499. I0305 12:01:13.248234 7624 net.cpp:90] Creating Layer norm
  1500. I0305 12:01:13.248236 7624 net.cpp:410] norm <- data
  1501. I0305 12:01:13.248239 7624 net.cpp:368] norm -> norm
  1502. I0305 12:01:13.248244 7624 net.cpp:120] Setting up norm
  1503. I0305 12:01:13.248248 7624 net.cpp:127] Top shape: 1 4 769 1025 (3152900)
  1504. I0305 12:01:13.248250 7624 layer_factory.hpp:74] Creating layer conv0
  1505. I0305 12:01:13.248255 7624 net.cpp:90] Creating Layer conv0
  1506. I0305 12:01:13.248257 7624 net.cpp:410] conv0 <- norm
  1507. I0305 12:01:13.248261 7624 net.cpp:368] conv0 -> conv0
  1508. I0305 12:01:13.248265 7624 net.cpp:120] Setting up conv0
  1509. I0305 12:01:13.249207 7624 net.cpp:127] Top shape: 1 64 769 1025 (50446400)
  1510. I0305 12:01:13.249217 7624 layer_factory.hpp:74] Creating layer conv0_bn
  1511. I0305 12:01:13.249222 7624 net.cpp:90] Creating Layer conv0_bn
  1512. I0305 12:01:13.249224 7624 net.cpp:410] conv0_bn <- conv0
  1513. I0305 12:01:13.249228 7624 net.cpp:357] conv0_bn -> conv0 (in-place)
  1514. I0305 12:01:13.249233 7624 net.cpp:120] Setting up conv0_bn
  1515. I0305 12:01:13.250829 7624 net.cpp:127] Top shape: 1 64 769 1025 (50446400)
  1516. I0305 12:01:13.250835 7624 layer_factory.hpp:74] Creating layer relu0
  1517. I0305 12:01:13.250839 7624 net.cpp:90] Creating Layer relu0
  1518. I0305 12:01:13.250841 7624 net.cpp:410] relu0 <- conv0
  1519. I0305 12:01:13.250845 7624 net.cpp:357] relu0 -> conv0 (in-place)
  1520. I0305 12:01:13.250849 7624 net.cpp:120] Setting up relu0
  1521. I0305 12:01:13.250851 7624 net.cpp:127] Top shape: 1 64 769 1025 (50446400)
  1522. I0305 12:01:13.250854 7624 layer_factory.hpp:74] Creating layer pool0
  1523. I0305 12:01:13.250859 7624 net.cpp:90] Creating Layer pool0
  1524. I0305 12:01:13.250860 7624 net.cpp:410] pool0 <- conv0
  1525. I0305 12:01:13.250864 7624 net.cpp:368] pool0 -> pool0
  1526. I0305 12:01:13.250867 7624 net.cpp:368] pool0 -> pool0_mask
  1527. I0305 12:01:13.250871 7624 net.cpp:120] Setting up pool0
  1528. I0305 12:01:13.250875 7624 net.cpp:127] Top shape: 1 64 384 512 (12582912)
  1529. I0305 12:01:13.250878 7624 net.cpp:127] Top shape: 1 64 384 512 (12582912)
  1530. I0305 12:01:13.250880 7624 layer_factory.hpp:74] Creating layer conv1
  1531. I0305 12:01:13.250885 7624 net.cpp:90] Creating Layer conv1
  1532. I0305 12:01:13.250887 7624 net.cpp:410] conv1 <- pool0
  1533. I0305 12:01:13.250890 7624 net.cpp:368] conv1 -> conv1
  1534. I0305 12:01:13.250895 7624 net.cpp:120] Setting up conv1
  1535. I0305 12:01:13.252403 7624 net.cpp:127] Top shape: 1 64 384 512 (12582912)
  1536. I0305 12:01:13.252409 7624 layer_factory.hpp:74] Creating layer conv1_bn
  1537. I0305 12:01:13.252414 7624 net.cpp:90] Creating Layer conv1_bn
  1538. I0305 12:01:13.252416 7624 net.cpp:410] conv1_bn <- conv1
  1539. I0305 12:01:13.252420 7624 net.cpp:357] conv1_bn -> conv1 (in-place)
  1540. I0305 12:01:13.252424 7624 net.cpp:120] Setting up conv1_bn
  1541. I0305 12:01:13.252864 7624 net.cpp:127] Top shape: 1 64 384 512 (12582912)
  1542. I0305 12:01:13.252869 7624 layer_factory.hpp:74] Creating layer relu1
  1543. I0305 12:01:13.252873 7624 net.cpp:90] Creating Layer relu1
  1544. I0305 12:01:13.252876 7624 net.cpp:410] relu1 <- conv1
  1545. I0305 12:01:13.252879 7624 net.cpp:357] relu1 -> conv1 (in-place)
  1546. I0305 12:01:13.252882 7624 net.cpp:120] Setting up relu1
  1547. I0305 12:01:13.252885 7624 net.cpp:127] Top shape: 1 64 384 512 (12582912)
  1548. I0305 12:01:13.252887 7624 layer_factory.hpp:74] Creating layer pool1
  1549. I0305 12:01:13.252890 7624 net.cpp:90] Creating Layer pool1
  1550. I0305 12:01:13.252892 7624 net.cpp:410] pool1 <- conv1
  1551. I0305 12:01:13.252897 7624 net.cpp:368] pool1 -> pool1
  1552. I0305 12:01:13.252900 7624 net.cpp:368] pool1 -> pool1_mask
  1553. I0305 12:01:13.252903 7624 net.cpp:120] Setting up pool1
  1554. I0305 12:01:13.252907 7624 net.cpp:127] Top shape: 1 64 192 256 (3145728)
  1555. I0305 12:01:13.252910 7624 net.cpp:127] Top shape: 1 64 192 256 (3145728)
  1556. I0305 12:01:13.252912 7624 layer_factory.hpp:74] Creating layer conv2
  1557. I0305 12:01:13.252916 7624 net.cpp:90] Creating Layer conv2
  1558. I0305 12:01:13.252918 7624 net.cpp:410] conv2 <- pool1
  1559. I0305 12:01:13.252925 7624 net.cpp:368] conv2 -> conv2
  1560. I0305 12:01:13.252934 7624 net.cpp:120] Setting up conv2
  1561. I0305 12:01:13.254315 7624 net.cpp:127] Top shape: 1 64 192 256 (3145728)
  1562. I0305 12:01:13.254321 7624 layer_factory.hpp:74] Creating layer conv2_bn
  1563. I0305 12:01:13.254326 7624 net.cpp:90] Creating Layer conv2_bn
  1564. I0305 12:01:13.254328 7624 net.cpp:410] conv2_bn <- conv2
  1565. I0305 12:01:13.254333 7624 net.cpp:357] conv2_bn -> conv2 (in-place)
  1566. I0305 12:01:13.254335 7624 net.cpp:120] Setting up conv2_bn
  1567. I0305 12:01:13.254417 7624 net.cpp:127] Top shape: 1 64 192 256 (3145728)
  1568. I0305 12:01:13.254422 7624 layer_factory.hpp:74] Creating layer relu2
  1569. I0305 12:01:13.254426 7624 net.cpp:90] Creating Layer relu2
  1570. I0305 12:01:13.254427 7624 net.cpp:410] relu2 <- conv2
  1571. I0305 12:01:13.254431 7624 net.cpp:357] relu2 -> conv2 (in-place)
  1572. I0305 12:01:13.254433 7624 net.cpp:120] Setting up relu2
  1573. I0305 12:01:13.254436 7624 net.cpp:127] Top shape: 1 64 192 256 (3145728)
  1574. I0305 12:01:13.254439 7624 layer_factory.hpp:74] Creating layer pool2
  1575. I0305 12:01:13.254442 7624 net.cpp:90] Creating Layer pool2
  1576. I0305 12:01:13.254444 7624 net.cpp:410] pool2 <- conv2
  1577. I0305 12:01:13.254447 7624 net.cpp:368] pool2 -> pool2
  1578. I0305 12:01:13.254451 7624 net.cpp:368] pool2 -> pool2_mask
  1579. I0305 12:01:13.254456 7624 net.cpp:120] Setting up pool2
  1580. I0305 12:01:13.254458 7624 net.cpp:127] Top shape: 1 64 96 128 (786432)
  1581. I0305 12:01:13.254462 7624 net.cpp:127] Top shape: 1 64 96 128 (786432)
  1582. I0305 12:01:13.254463 7624 layer_factory.hpp:74] Creating layer conv3
  1583. I0305 12:01:13.254467 7624 net.cpp:90] Creating Layer conv3
  1584. I0305 12:01:13.254469 7624 net.cpp:410] conv3 <- pool2
  1585. I0305 12:01:13.254473 7624 net.cpp:368] conv3 -> conv3
  1586. I0305 12:01:13.254477 7624 net.cpp:120] Setting up conv3
  1587. I0305 12:01:13.255812 7624 net.cpp:127] Top shape: 1 64 96 128 (786432)
  1588. I0305 12:01:13.255816 7624 layer_factory.hpp:74] Creating layer conv3_bn
  1589. I0305 12:01:13.255821 7624 net.cpp:90] Creating Layer conv3_bn
  1590. I0305 12:01:13.255823 7624 net.cpp:410] conv3_bn <- conv3
  1591. I0305 12:01:13.255827 7624 net.cpp:357] conv3_bn -> conv3 (in-place)
  1592. I0305 12:01:13.255831 7624 net.cpp:120] Setting up conv3_bn
  1593. I0305 12:01:13.255864 7624 net.cpp:127] Top shape: 1 64 96 128 (786432)
  1594. I0305 12:01:13.255868 7624 layer_factory.hpp:74] Creating layer relu3
  1595. I0305 12:01:13.255872 7624 net.cpp:90] Creating Layer relu3
  1596. I0305 12:01:13.255874 7624 net.cpp:410] relu3 <- conv3
  1597. I0305 12:01:13.255877 7624 net.cpp:357] relu3 -> conv3 (in-place)
  1598. I0305 12:01:13.255880 7624 net.cpp:120] Setting up relu3
  1599. I0305 12:01:13.255883 7624 net.cpp:127] Top shape: 1 64 96 128 (786432)
  1600. I0305 12:01:13.255885 7624 layer_factory.hpp:74] Creating layer pool3
  1601. I0305 12:01:13.255888 7624 net.cpp:90] Creating Layer pool3
  1602. I0305 12:01:13.255890 7624 net.cpp:410] pool3 <- conv3
  1603. I0305 12:01:13.255894 7624 net.cpp:368] pool3 -> pool3
  1604. I0305 12:01:13.255897 7624 net.cpp:368] pool3 -> pool3_mask
  1605. I0305 12:01:13.255903 7624 net.cpp:120] Setting up pool3
  1606. I0305 12:01:13.255906 7624 net.cpp:127] Top shape: 1 64 48 64 (196608)
  1607. I0305 12:01:13.255909 7624 net.cpp:127] Top shape: 1 64 48 64 (196608)
  1608. I0305 12:01:13.255911 7624 layer_factory.hpp:74] Creating layer conv4
  1609. I0305 12:01:13.255915 7624 net.cpp:90] Creating Layer conv4
  1610. I0305 12:01:13.255918 7624 net.cpp:410] conv4 <- pool3
  1611. I0305 12:01:13.255921 7624 net.cpp:368] conv4 -> conv4
  1612. I0305 12:01:13.255924 7624 net.cpp:120] Setting up conv4
  1613. I0305 12:01:13.257270 7624 net.cpp:127] Top shape: 1 64 48 64 (196608)
  1614. I0305 12:01:13.257277 7624 layer_factory.hpp:74] Creating layer conv4_bn
  1615. I0305 12:01:13.257282 7624 net.cpp:90] Creating Layer conv4_bn
  1616. I0305 12:01:13.257283 7624 net.cpp:410] conv4_bn <- conv4
  1617. I0305 12:01:13.257287 7624 net.cpp:357] conv4_bn -> conv4 (in-place)
  1618. I0305 12:01:13.257290 7624 net.cpp:120] Setting up conv4_bn
  1619. I0305 12:01:13.257304 7624 net.cpp:127] Top shape: 1 64 48 64 (196608)
  1620. I0305 12:01:13.257308 7624 layer_factory.hpp:74] Creating layer relu4
  1621. I0305 12:01:13.257311 7624 net.cpp:90] Creating Layer relu4
  1622. I0305 12:01:13.257316 7624 net.cpp:410] relu4 <- conv4
  1623. I0305 12:01:13.257323 7624 net.cpp:357] relu4 -> conv4 (in-place)
  1624. I0305 12:01:13.257326 7624 net.cpp:120] Setting up relu4
  1625. I0305 12:01:13.257329 7624 net.cpp:127] Top shape: 1 64 48 64 (196608)
  1626. I0305 12:01:13.257331 7624 layer_factory.hpp:74] Creating layer pool4
  1627. I0305 12:01:13.257335 7624 net.cpp:90] Creating Layer pool4
  1628. I0305 12:01:13.257338 7624 net.cpp:410] pool4 <- conv4
  1629. I0305 12:01:13.257340 7624 net.cpp:368] pool4 -> pool4
  1630. I0305 12:01:13.257344 7624 net.cpp:368] pool4 -> pool4_mask
  1631. I0305 12:01:13.257347 7624 net.cpp:120] Setting up pool4
  1632. I0305 12:01:13.257351 7624 net.cpp:127] Top shape: 1 64 24 32 (49152)
  1633. I0305 12:01:13.257354 7624 net.cpp:127] Top shape: 1 64 24 32 (49152)
  1634. I0305 12:01:13.257356 7624 layer_factory.hpp:74] Creating layer upsample4
  1635. I0305 12:01:13.257361 7624 net.cpp:90] Creating Layer upsample4
  1636. I0305 12:01:13.257364 7624 net.cpp:410] upsample4 <- pool4
  1637. I0305 12:01:13.257367 7624 net.cpp:410] upsample4 <- pool4_mask
  1638. I0305 12:01:13.257370 7624 net.cpp:368] upsample4 -> upsample4
  1639. I0305 12:01:13.257375 7624 net.cpp:120] Setting up upsample4
  1640. I0305 12:01:13.257376 7624 upsample_layer.cpp:31] Params 'pad_out_{}_' are deprecated. Please declare upsample height and width useing the upsample_h, upsample_w parameters.
  1641. I0305 12:01:13.257380 7624 net.cpp:127] Top shape: 1 64 48 64 (196608)
  1642. I0305 12:01:13.257382 7624 layer_factory.hpp:74] Creating layer conv_decode4
  1643. I0305 12:01:13.257387 7624 net.cpp:90] Creating Layer conv_decode4
  1644. I0305 12:01:13.257390 7624 net.cpp:410] conv_decode4 <- upsample4
  1645. I0305 12:01:13.257393 7624 net.cpp:368] conv_decode4 -> conv_decode4
  1646. I0305 12:01:13.257397 7624 net.cpp:120] Setting up conv_decode4
  1647. I0305 12:01:13.258718 7624 net.cpp:127] Top shape: 1 64 48 64 (196608)
  1648. I0305 12:01:13.258721 7624 layer_factory.hpp:74] Creating layer conv_decode4_bn
  1649. I0305 12:01:13.258726 7624 net.cpp:90] Creating Layer conv_decode4_bn
  1650. I0305 12:01:13.258729 7624 net.cpp:410] conv_decode4_bn <- conv_decode4
  1651. I0305 12:01:13.258733 7624 net.cpp:357] conv_decode4_bn -> conv_decode4 (in-place)
  1652. I0305 12:01:13.258736 7624 net.cpp:120] Setting up conv_decode4_bn
  1653. I0305 12:01:13.258750 7624 net.cpp:127] Top shape: 1 64 48 64 (196608)
  1654. I0305 12:01:13.258754 7624 layer_factory.hpp:74] Creating layer upsample3
  1655. I0305 12:01:13.258757 7624 net.cpp:90] Creating Layer upsample3
  1656. I0305 12:01:13.258759 7624 net.cpp:410] upsample3 <- conv_decode4
  1657. I0305 12:01:13.258762 7624 net.cpp:410] upsample3 <- pool3_mask
  1658. I0305 12:01:13.258765 7624 net.cpp:368] upsample3 -> upsample3
  1659. I0305 12:01:13.258769 7624 net.cpp:120] Setting up upsample3
  1660. I0305 12:01:13.258771 7624 upsample_layer.cpp:31] Params 'pad_out_{}_' are deprecated. Please declare upsample height and width useing the upsample_h, upsample_w parameters.
  1661. I0305 12:01:13.258774 7624 net.cpp:127] Top shape: 1 64 96 128 (786432)
  1662. I0305 12:01:13.258776 7624 layer_factory.hpp:74] Creating layer conv_decode3
  1663. I0305 12:01:13.258780 7624 net.cpp:90] Creating Layer conv_decode3
  1664. I0305 12:01:13.258782 7624 net.cpp:410] conv_decode3 <- upsample3
  1665. I0305 12:01:13.258787 7624 net.cpp:368] conv_decode3 -> conv_decode3
  1666. I0305 12:01:13.258790 7624 net.cpp:120] Setting up conv_decode3
  1667. I0305 12:01:13.260119 7624 net.cpp:127] Top shape: 1 64 96 128 (786432)
  1668. I0305 12:01:13.260123 7624 layer_factory.hpp:74] Creating layer conv_decode3_bn
  1669. I0305 12:01:13.260128 7624 net.cpp:90] Creating Layer conv_decode3_bn
  1670. I0305 12:01:13.260129 7624 net.cpp:410] conv_decode3_bn <- conv_decode3
  1671. I0305 12:01:13.260134 7624 net.cpp:357] conv_decode3_bn -> conv_decode3 (in-place)
  1672. I0305 12:01:13.260138 7624 net.cpp:120] Setting up conv_decode3_bn
  1673. I0305 12:01:13.260171 7624 net.cpp:127] Top shape: 1 64 96 128 (786432)
  1674. I0305 12:01:13.260175 7624 layer_factory.hpp:74] Creating layer upsample2
  1675. I0305 12:01:13.260179 7624 net.cpp:90] Creating Layer upsample2
  1676. I0305 12:01:13.260181 7624 net.cpp:410] upsample2 <- conv_decode3
  1677. I0305 12:01:13.260183 7624 net.cpp:410] upsample2 <- pool2_mask
  1678. I0305 12:01:13.260187 7624 net.cpp:368] upsample2 -> upsample2
  1679. I0305 12:01:13.260193 7624 net.cpp:120] Setting up upsample2
  1680. I0305 12:01:13.260198 7624 upsample_layer.cpp:31] Params 'pad_out_{}_' are deprecated. Please declare upsample height and width useing the upsample_h, upsample_w parameters.
  1681. I0305 12:01:13.260202 7624 net.cpp:127] Top shape: 1 64 192 256 (3145728)
  1682. I0305 12:01:13.260205 7624 layer_factory.hpp:74] Creating layer conv_decode2
  1683. I0305 12:01:13.260210 7624 net.cpp:90] Creating Layer conv_decode2
  1684. I0305 12:01:13.260211 7624 net.cpp:410] conv_decode2 <- upsample2
  1685. I0305 12:01:13.260215 7624 net.cpp:368] conv_decode2 -> conv_decode2
  1686. I0305 12:01:13.260218 7624 net.cpp:120] Setting up conv_decode2
  1687. I0305 12:01:13.261613 7624 net.cpp:127] Top shape: 1 64 192 256 (3145728)
  1688. I0305 12:01:13.261618 7624 layer_factory.hpp:74] Creating layer conv_decode2_bn
  1689. I0305 12:01:13.261622 7624 net.cpp:90] Creating Layer conv_decode2_bn
  1690. I0305 12:01:13.261624 7624 net.cpp:410] conv_decode2_bn <- conv_decode2
  1691. I0305 12:01:13.261629 7624 net.cpp:357] conv_decode2_bn -> conv_decode2 (in-place)
  1692. I0305 12:01:13.261633 7624 net.cpp:120] Setting up conv_decode2_bn
  1693. I0305 12:01:13.261741 7624 net.cpp:127] Top shape: 1 64 192 256 (3145728)
  1694. I0305 12:01:13.261745 7624 layer_factory.hpp:74] Creating layer upsample1
  1695. I0305 12:01:13.261754 7624 net.cpp:90] Creating Layer upsample1
  1696. I0305 12:01:13.261755 7624 net.cpp:410] upsample1 <- conv_decode2
  1697. I0305 12:01:13.261759 7624 net.cpp:410] upsample1 <- pool1_mask
  1698. I0305 12:01:13.261761 7624 net.cpp:368] upsample1 -> upsample1
  1699. I0305 12:01:13.261765 7624 net.cpp:120] Setting up upsample1
  1700. I0305 12:01:13.261767 7624 upsample_layer.cpp:31] Params 'pad_out_{}_' are deprecated. Please declare upsample height and width useing the upsample_h, upsample_w parameters.
  1701. I0305 12:01:13.261771 7624 net.cpp:127] Top shape: 1 64 384 512 (12582912)
  1702. I0305 12:01:13.261773 7624 layer_factory.hpp:74] Creating layer conv_decode1
  1703. I0305 12:01:13.261777 7624 net.cpp:90] Creating Layer conv_decode1
  1704. I0305 12:01:13.261780 7624 net.cpp:410] conv_decode1 <- upsample1
  1705. I0305 12:01:13.261783 7624 net.cpp:368] conv_decode1 -> conv_decode1
  1706. I0305 12:01:13.261787 7624 net.cpp:120] Setting up conv_decode1
  1707. I0305 12:01:13.263293 7624 net.cpp:127] Top shape: 1 64 384 512 (12582912)
  1708. I0305 12:01:13.263303 7624 layer_factory.hpp:74] Creating layer conv_decode1_bn
  1709. I0305 12:01:13.263305 7624 net.cpp:90] Creating Layer conv_decode1_bn
  1710. I0305 12:01:13.263309 7624 net.cpp:410] conv_decode1_bn <- conv_decode1
  1711. I0305 12:01:13.263312 7624 net.cpp:357] conv_decode1_bn -> conv_decode1 (in-place)
  1712. I0305 12:01:13.263316 7624 net.cpp:120] Setting up conv_decode1_bn
  1713. I0305 12:01:13.263720 7624 net.cpp:127] Top shape: 1 64 384 512 (12582912)
  1714. I0305 12:01:13.263725 7624 layer_factory.hpp:74] Creating layer conv_classifier
  1715. I0305 12:01:13.263728 7624 net.cpp:90] Creating Layer conv_classifier
  1716. I0305 12:01:13.263731 7624 net.cpp:410] conv_classifier <- conv_decode1
  1717. I0305 12:01:13.263736 7624 net.cpp:368] conv_classifier -> conv_classifier
  1718. I0305 12:01:13.263739 7624 net.cpp:120] Setting up conv_classifier
  1719. I0305 12:01:13.263954 7624 net.cpp:127] Top shape: 1 3 384 512 (589824)
  1720. I0305 12:01:13.263958 7624 layer_factory.hpp:74] Creating layer conv_classifier_conv_classifier_0_split
  1721. I0305 12:01:13.263962 7624 net.cpp:90] Creating Layer conv_classifier_conv_classifier_0_split
  1722. I0305 12:01:13.263964 7624 net.cpp:410] conv_classifier_conv_classifier_0_split <- conv_classifier
  1723. I0305 12:01:13.263969 7624 net.cpp:368] conv_classifier_conv_classifier_0_split -> conv_classifier_conv_classifier_0_split_0
  1724. I0305 12:01:13.263973 7624 net.cpp:368] conv_classifier_conv_classifier_0_split -> conv_classifier_conv_classifier_0_split_1
  1725. I0305 12:01:13.263978 7624 net.cpp:120] Setting up conv_classifier_conv_classifier_0_split
  1726. I0305 12:01:13.263981 7624 net.cpp:127] Top shape: 1 3 384 512 (589824)
  1727. I0305 12:01:13.263984 7624 net.cpp:127] Top shape: 1 3 384 512 (589824)
  1728. I0305 12:01:13.263986 7624 layer_factory.hpp:74] Creating layer loss
  1729. I0305 12:01:13.263993 7624 net.cpp:90] Creating Layer loss
  1730. I0305 12:01:13.263998 7624 net.cpp:410] loss <- conv_classifier_conv_classifier_0_split_0
  1731. I0305 12:01:13.264004 7624 net.cpp:410] loss <- label_data_1_split_0
  1732. I0305 12:01:13.264008 7624 net.cpp:368] loss -> loss
  1733. I0305 12:01:13.264012 7624 net.cpp:120] Setting up loss
  1734. I0305 12:01:13.264016 7624 layer_factory.hpp:74] Creating layer loss
  1735. I0305 12:01:13.264655 7624 net.cpp:127] Top shape: (1)
  1736. I0305 12:01:13.264659 7624 net.cpp:129] with loss weight 1
  1737. I0305 12:01:13.264668 7624 layer_factory.hpp:74] Creating layer accuracy
  1738. I0305 12:01:13.264672 7624 net.cpp:90] Creating Layer accuracy
  1739. I0305 12:01:13.264675 7624 net.cpp:410] accuracy <- conv_classifier_conv_classifier_0_split_1
  1740. I0305 12:01:13.264678 7624 net.cpp:410] accuracy <- label_data_1_split_1
  1741. I0305 12:01:13.264695 7624 net.cpp:368] accuracy -> accuracy
  1742. I0305 12:01:13.264703 7624 net.cpp:368] accuracy -> per_class_accuracy
  1743. I0305 12:01:13.264708 7624 net.cpp:120] Setting up accuracy
  1744. I0305 12:01:13.264710 7624 accuracy_layer.cpp:24] Per-class accuracies currently only work on TRAIN phase only.
  1745. I0305 12:01:13.264714 7624 net.cpp:127] Top shape: (1)
  1746. I0305 12:01:13.264716 7624 net.cpp:127] Top shape: 3 1 1 1 (3)
  1747. I0305 12:01:13.264719 7624 net.cpp:194] accuracy does not need backward computation.
  1748. I0305 12:01:13.264721 7624 net.cpp:192] loss needs backward computation.
  1749. I0305 12:01:13.264724 7624 net.cpp:192] conv_classifier_conv_classifier_0_split needs backward computation.
  1750. I0305 12:01:13.264726 7624 net.cpp:192] conv_classifier needs backward computation.
  1751. I0305 12:01:13.264729 7624 net.cpp:192] conv_decode1_bn needs backward computation.
  1752. I0305 12:01:13.264731 7624 net.cpp:192] conv_decode1 needs backward computation.
  1753. I0305 12:01:13.264734 7624 net.cpp:192] upsample1 needs backward computation.
  1754. I0305 12:01:13.264736 7624 net.cpp:192] conv_decode2_bn needs backward computation.
  1755. I0305 12:01:13.264739 7624 net.cpp:192] conv_decode2 needs backward computation.
  1756. I0305 12:01:13.264741 7624 net.cpp:192] upsample2 needs backward computation.
  1757. I0305 12:01:13.264744 7624 net.cpp:192] conv_decode3_bn needs backward computation.
  1758. I0305 12:01:13.264745 7624 net.cpp:192] conv_decode3 needs backward computation.
  1759. I0305 12:01:13.264748 7624 net.cpp:192] upsample3 needs backward computation.
  1760. I0305 12:01:13.264750 7624 net.cpp:192] conv_decode4_bn needs backward computation.
  1761. I0305 12:01:13.264752 7624 net.cpp:192] conv_decode4 needs backward computation.
  1762. I0305 12:01:13.264755 7624 net.cpp:192] upsample4 needs backward computation.
  1763. I0305 12:01:13.264758 7624 net.cpp:192] pool4 needs backward computation.
  1764. I0305 12:01:13.264760 7624 net.cpp:192] relu4 needs backward computation.
  1765. I0305 12:01:13.264762 7624 net.cpp:192] conv4_bn needs backward computation.
  1766. I0305 12:01:13.264765 7624 net.cpp:192] conv4 needs backward computation.
  1767. I0305 12:01:13.264767 7624 net.cpp:192] pool3 needs backward computation.
  1768. I0305 12:01:13.264770 7624 net.cpp:192] relu3 needs backward computation.
  1769. I0305 12:01:13.264771 7624 net.cpp:192] conv3_bn needs backward computation.
  1770. I0305 12:01:13.264773 7624 net.cpp:192] conv3 needs backward computation.
  1771. I0305 12:01:13.264776 7624 net.cpp:192] pool2 needs backward computation.
  1772. I0305 12:01:13.264778 7624 net.cpp:192] relu2 needs backward computation.
  1773. I0305 12:01:13.264780 7624 net.cpp:192] conv2_bn needs backward computation.
  1774. I0305 12:01:13.264782 7624 net.cpp:192] conv2 needs backward computation.
  1775. I0305 12:01:13.264786 7624 net.cpp:192] pool1 needs backward computation.
  1776. I0305 12:01:13.264787 7624 net.cpp:192] relu1 needs backward computation.
  1777. I0305 12:01:13.264789 7624 net.cpp:192] conv1_bn needs backward computation.
  1778. I0305 12:01:13.264791 7624 net.cpp:192] conv1 needs backward computation.
  1779. I0305 12:01:13.264794 7624 net.cpp:192] pool0 needs backward computation.
  1780. I0305 12:01:13.264796 7624 net.cpp:192] relu0 needs backward computation.
  1781. I0305 12:01:13.264798 7624 net.cpp:192] conv0_bn needs backward computation.
  1782. I0305 12:01:13.264801 7624 net.cpp:192] conv0 needs backward computation.
  1783. I0305 12:01:13.264803 7624 net.cpp:194] norm does not need backward computation.
  1784. I0305 12:01:13.264808 7624 net.cpp:194] label_data_1_split does not need backward computation.
  1785. I0305 12:01:13.264814 7624 net.cpp:194] data does not need backward computation.
  1786. I0305 12:01:13.264816 7624 net.cpp:235] This network produces output accuracy
  1787. I0305 12:01:13.264819 7624 net.cpp:235] This network produces output loss
  1788. I0305 12:01:13.264822 7624 net.cpp:235] This network produces output per_class_accuracy
  1789. I0305 12:01:13.264824 7624 net.cpp:235] This network produces output pool0_mask
  1790. I0305 12:01:13.264840 7624 net.cpp:482] Collecting Learning Rate and Weight Decay.
  1791. I0305 12:01:13.264847 7624 net.cpp:247] Network initialization done.
  1792. I0305 12:01:13.264848 7624 net.cpp:248] Memory required for data: 1175184180
  1793. I0305 12:01:13.264928 7624 solver.cpp:42] Solver scaffolding done.
  1794. I0305 12:01:13.264969 7624 solver.cpp:250] Solving segnet
  1795. I0305 12:01:13.264972 7624 solver.cpp:251] Learning Rate Policy: fixed
  1796. F0305 12:01:13.448243 7624 syncedmem.cpp:51] Check failed: error == cudaSuccess (2 vs. 0) out of memory
  1797. *** Check failure stack trace: ***
  1798. @ 0x7f44a901a5cd google::LogMessage::Fail()
  1799. @ 0x7f44a901c433 google::LogMessage::SendToLog()
  1800. @ 0x7f44a901a15b google::LogMessage::Flush()
  1801. @ 0x7f44a901ce1e google::LogMessageFatal::~LogMessageFatal()
  1802. @ 0x7f44a94b2fa2 caffe::SyncedMemory::mutable_gpu_data()
  1803. @ 0x7f44a944ea72 caffe::Blob<>::mutable_gpu_data()
  1804. @ 0x7f44a94bae54 caffe::BNLayer<>::Forward_gpu()
  1805. @ 0x7f44a946eb72 caffe::Net<>::ForwardFromTo()
  1806. @ 0x7f44a946ed67 caffe::Net<>::ForwardPrefilled()
  1807. @ 0x7f44a9465d65 caffe::Solver<>::Step()
  1808. @ 0x7f44a9466804 caffe::Solver<>::Solve()
  1809. @ 0x408039 train()
  1810. @ 0x405d88 main
  1811. @ 0x7f44a84ac830 __libc_start_main
  1812. @ 0x4062a9 _start
  1813. @ (nil) (unknown)
Advertisement
Add Comment
Please, Sign In to add comment
Advertisement
Public Pastes
Advertisement
We use cookies for various purposes including analytics. By continuing to use Pastebin, you agree to our use of cookies as described in the Cookies Policy.  OK, I Understand
Not a member of Pastebin yet?
Sign Up, it unlocks many cool features!