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Sep 23rd, 2016
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  1. I0923 19:04:16.893239 23526 solver.cpp:346] Iteration 0, Testing net (#0)
  2. I0923 19:04:17.097751 23526 blocking_queue.cpp:50] Data layer prefetch queue empty
  3. I0923 19:04:38.402485 23534 blocking_queue.cpp:50] Waiting for data
  4. I0923 19:04:42.166394 23534 blocking_queue.cpp:50] Waiting for data
  5. I0923 19:04:45.010915 23534 blocking_queue.cpp:50] Waiting for data
  6. I0923 19:04:47.412708 23534 blocking_queue.cpp:50] Waiting for data
  7. I0923 19:04:49.899251 23534 blocking_queue.cpp:50] Waiting for data
  8. I0923 19:04:53.050304 23534 blocking_queue.cpp:50] Waiting for data
  9. I0923 19:04:55.277189 23534 blocking_queue.cpp:50] Waiting for data
  10. I0923 19:04:59.572495 23534 blocking_queue.cpp:50] Waiting for data
  11. I0923 19:05:05.594213 23534 blocking_queue.cpp:50] Waiting for data
  12. I0923 19:05:12.901010 23526 blocking_queue.cpp:50] Data layer prefetch queue empty
  13. I0923 19:05:46.281981 23526 solver.cpp:413]     Test net output #0: accuracy = 0.000999999
  14. I0923 19:05:46.282199 23526 solver.cpp:413]     Test net output #1: loss = 7.15859 (* 1 = 7.15859 loss)
  15. I0923 19:05:46.371414 23526 solver.cpp:231] Iteration 0, loss = 7.33457
  16. I0923 19:05:46.371490 23526 solver.cpp:247]     Train net output #0: loss = 7.33457 (* 1 = 7.33457 loss)
  17. I0923 19:05:46.371522 23526 sgd_solver.cpp:119] Iteration 0, lr = 0.01
  18. I0923 19:05:51.263577 23526 solver.cpp:231] Iteration 20, loss = 7.21954
  19. I0923 19:05:51.263659 23526 solver.cpp:247]     Train net output #0: loss = 7.21954 (* 1 = 7.21954 loss)
  20. I0923 19:05:51.263674 23526 sgd_solver.cpp:119] Iteration 20, lr = 0.01
  21. I0923 19:05:56.133373 23526 solver.cpp:231] Iteration 40, loss = 6.99231
  22. I0923 19:05:56.133441 23526 solver.cpp:247]     Train net output #0: loss = 6.99231 (* 1 = 6.99231 loss)
  23. I0923 19:05:56.133455 23526 sgd_solver.cpp:119] Iteration 40, lr = 0.01
  24. I0923 19:06:01.003487 23526 solver.cpp:231] Iteration 60, loss = 6.96406
  25. I0923 19:06:01.003546 23526 solver.cpp:247]     Train net output #0: loss = 6.96406 (* 1 = 6.96406 loss)
  26. I0923 19:06:01.003557 23526 sgd_solver.cpp:119] Iteration 60, lr = 0.01
  27. I0923 19:06:05.876282 23526 solver.cpp:231] Iteration 80, loss = 6.9292
  28. I0923 19:06:05.876353 23526 solver.cpp:247]     Train net output #0: loss = 6.9292 (* 1 = 6.9292 loss)
  29. I0923 19:06:05.876361 23526 sgd_solver.cpp:119] Iteration 80, lr = 0.01
  30. I0923 19:06:10.748029 23526 solver.cpp:231] Iteration 100, loss = 6.91883
  31. I0923 19:06:10.748077 23526 solver.cpp:247]     Train net output #0: loss = 6.91883 (* 1 = 6.91883 loss)
  32. I0923 19:06:10.748086 23526 sgd_solver.cpp:119] Iteration 100, lr = 0.01
  33. I0923 19:06:15.616076 23526 solver.cpp:231] Iteration 120, loss = 6.91035
  34. I0923 19:06:15.616124 23526 solver.cpp:247]     Train net output #0: loss = 6.91035 (* 1 = 6.91035 loss)
  35. I0923 19:06:15.616132 23526 sgd_solver.cpp:119] Iteration 120, lr = 0.01
  36. I0923 19:06:20.485051 23526 solver.cpp:231] Iteration 140, loss = 6.92935
  37. I0923 19:06:20.485285 23526 solver.cpp:247]     Train net output #0: loss = 6.92935 (* 1 = 6.92935 loss)
  38. I0923 19:06:20.485327 23526 sgd_solver.cpp:119] Iteration 140, lr = 0.01
  39. I0923 19:06:25.370771 23526 solver.cpp:231] Iteration 160, loss = 6.91337
  40. I0923 19:06:25.370831 23526 solver.cpp:247]     Train net output #0: loss = 6.91337 (* 1 = 6.91337 loss)
  41. I0923 19:06:25.370838 23526 sgd_solver.cpp:119] Iteration 160, lr = 0.01
  42. I0923 19:06:30.249722 23526 solver.cpp:231] Iteration 180, loss = 6.89428
  43. I0923 19:06:30.249789 23526 solver.cpp:247]     Train net output #0: loss = 6.89428 (* 1 = 6.89428 loss)
  44. I0923 19:06:30.249804 23526 sgd_solver.cpp:119] Iteration 180, lr = 0.01
  45. I0923 19:06:35.126901 23526 solver.cpp:231] Iteration 200, loss = 6.90636
  46. I0923 19:06:35.126955 23526 solver.cpp:247]     Train net output #0: loss = 6.90636 (* 1 = 6.90636 loss)
  47. I0923 19:06:35.126965 23526 sgd_solver.cpp:119] Iteration 200, lr = 0.01
  48. I0923 19:06:40.007115 23526 solver.cpp:231] Iteration 220, loss = 6.90447
  49. I0923 19:06:40.007179 23526 solver.cpp:247]     Train net output #0: loss = 6.90447 (* 1 = 6.90447 loss)
  50. I0923 19:06:40.007189 23526 sgd_solver.cpp:119] Iteration 220, lr = 0.01
  51. I0923 19:06:44.884847 23526 solver.cpp:231] Iteration 240, loss = 6.90423
  52. I0923 19:06:44.884912 23526 solver.cpp:247]     Train net output #0: loss = 6.90423 (* 1 = 6.90423 loss)
  53. I0923 19:06:44.884925 23526 sgd_solver.cpp:119] Iteration 240, lr = 0.01
  54. I0923 19:06:49.767189 23526 solver.cpp:231] Iteration 260, loss = 6.90154
  55. I0923 19:06:49.767240 23526 solver.cpp:247]     Train net output #0: loss = 6.90154 (* 1 = 6.90154 loss)
  56. I0923 19:06:49.767248 23526 sgd_solver.cpp:119] Iteration 260, lr = 0.01
  57. I0923 19:06:54.644428 23526 solver.cpp:231] Iteration 280, loss = 6.91186
  58. I0923 19:06:54.644677 23526 solver.cpp:247]     Train net output #0: loss = 6.91186 (* 1 = 6.91186 loss)
  59. I0923 19:06:54.644718 23526 sgd_solver.cpp:119] Iteration 280, lr = 0.01
  60. I0923 19:06:59.528000 23526 solver.cpp:231] Iteration 300, loss = 6.90203
  61. I0923 19:06:59.528080 23526 solver.cpp:247]     Train net output #0: loss = 6.90203 (* 1 = 6.90203 loss)
  62. I0923 19:06:59.528100 23526 sgd_solver.cpp:119] Iteration 300, lr = 0.01
  63. I0923 19:07:04.416288 23526 solver.cpp:231] Iteration 320, loss = 6.91168
  64. I0923 19:07:04.416366 23526 solver.cpp:247]     Train net output #0: loss = 6.91168 (* 1 = 6.91168 loss)
  65. I0923 19:07:04.416385 23526 sgd_solver.cpp:119] Iteration 320, lr = 0.01
  66. I0923 19:07:09.299867 23526 solver.cpp:231] Iteration 340, loss = 6.90666
  67. I0923 19:07:09.299927 23526 solver.cpp:247]     Train net output #0: loss = 6.90666 (* 1 = 6.90666 loss)
  68. I0923 19:07:09.299938 23526 sgd_solver.cpp:119] Iteration 340, lr = 0.01
  69. I0923 19:07:14.198361 23526 solver.cpp:231] Iteration 360, loss = 6.91028
  70. I0923 19:07:14.198423 23526 solver.cpp:247]     Train net output #0: loss = 6.91028 (* 1 = 6.91028 loss)
  71. I0923 19:07:14.198434 23526 sgd_solver.cpp:119] Iteration 360, lr = 0.01
  72. I0923 19:07:19.078008 23526 solver.cpp:231] Iteration 380, loss = 6.90913
  73. I0923 19:07:19.078114 23526 solver.cpp:247]     Train net output #0: loss = 6.90913 (* 1 = 6.90913 loss)
  74. I0923 19:07:19.078135 23526 sgd_solver.cpp:119] Iteration 380, lr = 0.01
  75. I0923 19:07:23.955849 23526 solver.cpp:231] Iteration 400, loss = 6.90748
  76. I0923 19:07:23.955906 23526 solver.cpp:247]     Train net output #0: loss = 6.90748 (* 1 = 6.90748 loss)
  77. I0923 19:07:23.955917 23526 sgd_solver.cpp:119] Iteration 400, lr = 0.01
  78. I0923 19:07:28.834899 23526 solver.cpp:231] Iteration 420, loss = 6.90888
  79. I0923 19:07:28.835151 23526 solver.cpp:247]     Train net output #0: loss = 6.90888 (* 1 = 6.90888 loss)
  80. I0923 19:07:28.835186 23526 sgd_solver.cpp:119] Iteration 420, lr = 0.01
  81. I0923 19:07:33.715215 23526 solver.cpp:231] Iteration 440, loss = 6.90566
  82. I0923 19:07:33.715279 23526 solver.cpp:247]     Train net output #0: loss = 6.90566 (* 1 = 6.90566 loss)
  83. I0923 19:07:33.715291 23526 sgd_solver.cpp:119] Iteration 440, lr = 0.01
  84. I0923 19:07:38.591522 23526 solver.cpp:231] Iteration 460, loss = 6.90627
  85. I0923 19:07:38.591596 23526 solver.cpp:247]     Train net output #0: loss = 6.90627 (* 1 = 6.90627 loss)
  86. I0923 19:07:38.591620 23526 sgd_solver.cpp:119] Iteration 460, lr = 0.01
  87. I0923 19:07:43.470970 23526 solver.cpp:231] Iteration 480, loss = 6.90642
  88. I0923 19:07:43.471077 23526 solver.cpp:247]     Train net output #0: loss = 6.90642 (* 1 = 6.90642 loss)
  89. I0923 19:07:43.471091 23526 sgd_solver.cpp:119] Iteration 480, lr = 0.01
  90. I0923 19:07:48.355466 23526 solver.cpp:231] Iteration 500, loss = 6.90717
  91. I0923 19:07:48.355531 23526 solver.cpp:247]     Train net output #0: loss = 6.90717 (* 1 = 6.90717 loss)
  92. I0923 19:07:48.355545 23526 sgd_solver.cpp:119] Iteration 500, lr = 0.01
  93. I0923 19:07:53.226439 23526 solver.cpp:231] Iteration 520, loss = 6.90704
  94. I0923 19:07:53.226563 23526 solver.cpp:247]     Train net output #0: loss = 6.90704 (* 1 = 6.90704 loss)
  95. I0923 19:07:53.226584 23526 sgd_solver.cpp:119] Iteration 520, lr = 0.01
  96. I0923 19:07:58.102061 23526 solver.cpp:231] Iteration 540, loss = 6.90774
  97. I0923 19:07:58.102128 23526 solver.cpp:247]     Train net output #0: loss = 6.90774 (* 1 = 6.90774 loss)
  98. I0923 19:07:58.102145 23526 sgd_solver.cpp:119] Iteration 540, lr = 0.01
  99. I0923 19:08:02.971217 23526 solver.cpp:231] Iteration 560, loss = 6.90725
  100. I0923 19:08:02.971446 23526 solver.cpp:247]     Train net output #0: loss = 6.90725 (* 1 = 6.90725 loss)
  101. I0923 19:08:02.971468 23526 sgd_solver.cpp:119] Iteration 560, lr = 0.01
  102. I0923 19:08:07.848948 23526 solver.cpp:231] Iteration 580, loss = 6.91034
  103. I0923 19:08:07.849026 23526 solver.cpp:247]     Train net output #0: loss = 6.91034 (* 1 = 6.91034 loss)
  104. I0923 19:08:07.849042 23526 sgd_solver.cpp:119] Iteration 580, lr = 0.01
  105. I0923 19:08:12.729159 23526 solver.cpp:231] Iteration 600, loss = 6.90855
  106. I0923 19:08:12.729212 23526 solver.cpp:247]     Train net output #0: loss = 6.90855 (* 1 = 6.90855 loss)
  107. I0923 19:08:12.729223 23526 sgd_solver.cpp:119] Iteration 600, lr = 0.01
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