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themoosemind

Caffe - Fehler

themoosemind
Jun 3rd, 2015
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  1. I0603 18:06:35.169698 32570 layer_factory.hpp:74] Creating layer label
  2. I0603 18:06:35.169708 32570 net.cpp:85] Creating Layer label
  3. I0603 18:06:35.169711 32570 net.cpp:339] label -> label
  4. I0603 18:06:35.169718 32570 net.cpp:114] Setting up label
  5. I0603 18:06:35.172350 32570 db.cpp:34] Opened lmdb /disk/no_backup/mlprak1/data/team_segmentation/kitti-road-training-gt.lmdb
  6. I0603 18:06:35.172794 32570 data_layer.cpp:67] output data size: 1,1,375,1242
  7. I0603 18:06:35.172987 32570 net.cpp:121] Top shape: 1 1 375 1242 (465750)
  8. I0603 18:06:35.172996 32570 layer_factory.hpp:74] Creating layer conv1_1
  9. I0603 18:06:35.173008 32570 net.cpp:85] Creating Layer conv1_1
  10. I0603 18:06:35.173013 32570 net.cpp:381] conv1_1 <- data_data_0_split_0
  11. I0603 18:06:35.173022 32570 net.cpp:339] conv1_1 -> conv1_1
  12. I0603 18:06:35.173033 32570 net.cpp:114] Setting up conv1_1
  13. I0603 18:06:35.173718 32570 net.cpp:121] Top shape: 1 64 573 1440 (52807680)
  14. I0603 18:06:35.173738 32570 layer_factory.hpp:74] Creating layer relu1_1
  15. I0603 18:06:35.173746 32570 net.cpp:85] Creating Layer relu1_1
  16. I0603 18:06:35.173751 32570 net.cpp:381] relu1_1 <- conv1_1
  17. I0603 18:06:35.173756 32570 net.cpp:328] relu1_1 -> conv1_1 (in-place)
  18. I0603 18:06:35.173763 32570 net.cpp:114] Setting up relu1_1
  19. I0603 18:06:35.173768 32570 net.cpp:121] Top shape: 1 64 573 1440 (52807680)
  20. I0603 18:06:35.173771 32570 layer_factory.hpp:74] Creating layer pool1
  21. I0603 18:06:35.173779 32570 net.cpp:85] Creating Layer pool1
  22. I0603 18:06:35.173782 32570 net.cpp:381] pool1 <- conv1_1
  23. I0603 18:06:35.173787 32570 net.cpp:339] pool1 -> pool1
  24. I0603 18:06:35.173794 32570 net.cpp:114] Setting up pool1
  25. I0603 18:06:35.173800 32570 net.cpp:121] Top shape: 1 64 19 46 (55936)
  26. I0603 18:06:35.173804 32570 layer_factory.hpp:74] Creating layer fc6
  27. I0603 18:06:35.173810 32570 net.cpp:85] Creating Layer fc6
  28. I0603 18:06:35.173815 32570 net.cpp:381] fc6 <- pool1
  29. I0603 18:06:35.173820 32570 net.cpp:339] fc6 -> fc6
  30. I0603 18:06:35.173825 32570 net.cpp:114] Setting up fc6
  31. I0603 18:06:35.175186 32570 net.cpp:121] Top shape: 1 512 13 40 (266240)
  32. I0603 18:06:35.175207 32570 layer_factory.hpp:74] Creating layer relu6
  33. I0603 18:06:35.175216 32570 net.cpp:85] Creating Layer relu6
  34. I0603 18:06:35.175221 32570 net.cpp:381] relu6 <- fc6
  35. I0603 18:06:35.175227 32570 net.cpp:328] relu6 -> fc6 (in-place)
  36. I0603 18:06:35.175233 32570 net.cpp:114] Setting up relu6
  37. I0603 18:06:35.175238 32570 net.cpp:121] Top shape: 1 512 13 40 (266240)
  38. I0603 18:06:35.175262 32570 layer_factory.hpp:74] Creating layer drop6
  39. I0603 18:06:35.175271 32570 net.cpp:85] Creating Layer drop6
  40. I0603 18:06:35.175288 32570 net.cpp:381] drop6 <- fc6
  41. I0603 18:06:35.175294 32570 net.cpp:328] drop6 -> fc6 (in-place)
  42. I0603 18:06:35.175299 32570 net.cpp:114] Setting up drop6
  43. I0603 18:06:35.175305 32570 net.cpp:121] Top shape: 1 512 13 40 (266240)
  44. I0603 18:06:35.175309 32570 layer_factory.hpp:74] Creating layer score59
  45. I0603 18:06:35.175317 32570 net.cpp:85] Creating Layer score59
  46. I0603 18:06:35.175320 32570 net.cpp:381] score59 <- fc6
  47. I0603 18:06:35.175325 32570 net.cpp:339] score59 -> score59
  48. I0603 18:06:35.175335 32570 net.cpp:114] Setting up score59
  49. I0603 18:06:35.175364 32570 net.cpp:121] Top shape: 1 60 13 40 (31200)
  50. I0603 18:06:35.175374 32570 layer_factory.hpp:74] Creating layer upscore
  51. I0603 18:06:35.175380 32570 net.cpp:85] Creating Layer upscore
  52. I0603 18:06:35.175384 32570 net.cpp:381] upscore <- score59
  53. I0603 18:06:35.175389 32570 net.cpp:339] upscore -> upscore
  54. I0603 18:06:35.175395 32570 net.cpp:114] Setting up upscore
  55. I0603 18:06:35.189474 32570 net.cpp:121] Top shape: 1 60 448 1312 (35266560)
  56. I0603 18:06:35.189498 32570 layer_factory.hpp:74] Creating layer score
  57. I0603 18:06:35.189508 32570 net.cpp:85] Creating Layer score
  58. I0603 18:06:35.189513 32570 net.cpp:381] score <- upscore
  59. I0603 18:06:35.189520 32570 net.cpp:381] score <- data_data_0_split_1
  60. I0603 18:06:35.189527 32570 net.cpp:339] score -> score
  61. I0603 18:06:35.189533 32570 net.cpp:114] Setting up score
  62. I0603 18:06:35.189554 32570 net.cpp:121] Top shape: 1 60 375 1242 (27945000)
  63. I0603 18:06:35.189559 32570 layer_factory.hpp:74] Creating layer loss
  64. I0603 18:06:35.189566 32570 net.cpp:85] Creating Layer loss
  65. I0603 18:06:35.189570 32570 net.cpp:381] loss <- score
  66. I0603 18:06:35.189575 32570 net.cpp:381] loss <- label
  67. I0603 18:06:35.189580 32570 net.cpp:339] loss -> loss
  68. I0603 18:06:35.189586 32570 net.cpp:114] Setting up loss
  69. I0603 18:06:35.189592 32570 layer_factory.hpp:74] Creating layer loss
  70. I0603 18:06:35.211632 32570 net.cpp:121] Top shape: (1)
  71. I0603 18:06:35.211659 32570 net.cpp:123] with loss weight 1
  72. I0603 18:06:35.211673 32570 net.cpp:168] loss needs backward computation.
  73. I0603 18:06:35.211679 32570 net.cpp:168] score needs backward computation.
  74. I0603 18:06:35.211684 32570 net.cpp:168] upscore needs backward computation.
  75. I0603 18:06:35.211688 32570 net.cpp:168] score59 needs backward computation.
  76. I0603 18:06:35.211694 32570 net.cpp:168] drop6 needs backward computation.
  77. I0603 18:06:35.211697 32570 net.cpp:168] relu6 needs backward computation.
  78. I0603 18:06:35.211701 32570 net.cpp:168] fc6 needs backward computation.
  79. I0603 18:06:35.211705 32570 net.cpp:168] pool1 needs backward computation.
  80. I0603 18:06:35.211709 32570 net.cpp:168] relu1_1 needs backward computation.
  81. I0603 18:06:35.211714 32570 net.cpp:168] conv1_1 needs backward computation.
  82. I0603 18:06:35.211717 32570 net.cpp:170] label does not need backward computation.
  83. I0603 18:06:35.211721 32570 net.cpp:170] data_data_0_split does not need backward computation.
  84. I0603 18:06:35.211725 32570 net.cpp:170] data does not need backward computation.
  85. I0603 18:06:35.211730 32570 net.cpp:206] This network produces output loss
  86. I0603 18:06:35.211740 32570 net.cpp:448] Collecting Learning Rate and Weight Decay.
  87. I0603 18:06:35.211745 32570 net.cpp:218] Network initialization done.
  88. I0603 18:06:35.211750 32570 net.cpp:219] Memory required for data: 697481108
  89. I0603 18:06:35.211808 32570 solver.cpp:42] Solver scaffolding done.
  90. I0603 18:06:35.211835 32570 solver.cpp:247] Solving FCN
  91. I0603 18:06:35.211841 32570 solver.cpp:248] Learning Rate Policy: fixed
  92. I0603 18:06:38.373217 32570 solver.cpp:214] Iteration 0, loss = 4.04496e+07
  93. I0603 18:06:38.373255 32570 solver.cpp:229] Train net output #0: loss = 4.04496e+07 (* 1 = 4.04496e+07 loss)
  94. I0603 18:06:38.373267 32570 solver.cpp:489] Iteration 0, lr = 1e-10
  95. I0603 18:06:41.434916 32570 solver.cpp:214] Iteration 1, loss = 4.06408e+07
  96. I0603 18:06:41.434950 32570 solver.cpp:229] Train net output #0: loss = 4.0832e+07 (* 1 = 4.0832e+07 loss)
  97. I0603 18:06:41.434978 32570 solver.cpp:489] Iteration 1, lr = 1e-10
  98. I0603 18:06:44.458205 32570 solver.cpp:214] Iteration 2, loss = 4.03487e+07
  99. I0603 18:06:44.458242 32570 solver.cpp:229] Train net output #0: loss = 3.97646e+07 (* 1 = 3.97646e+07 loss)
  100. I0603 18:06:44.458250 32570 solver.cpp:489] Iteration 2, lr = 1e-10
  101. I0603 18:06:47.509186 32570 solver.cpp:214] Iteration 3, loss = 4.04696e+07
  102. I0603 18:06:47.509222 32570 solver.cpp:229] Train net output #0: loss = 4.0832e+07 (* 1 = 4.0832e+07 loss)
  103. I0603 18:06:47.509230 32570 solver.cpp:489] Iteration 3, lr = 1e-10
  104. I0603 18:06:50.561852 32570 solver.cpp:214] Iteration 4, loss = 4.0404e+07
  105. I0603 18:06:50.561888 32570 solver.cpp:229] Train net output #0: loss = 4.01419e+07 (* 1 = 4.01419e+07 loss)
  106. I0603 18:06:50.561897 32570 solver.cpp:489] Iteration 4, lr = 1e-10
  107. I0603 18:06:53.589916 32570 solver.cpp:214] Iteration 5, loss = 4.02954e+07
  108. I0603 18:06:53.589959 32570 solver.cpp:229] Train net output #0: loss = 3.97521e+07 (* 1 = 3.97521e+07 loss)
  109. I0603 18:06:53.589967 32570 solver.cpp:489] Iteration 5, lr = 1e-10
  110. *** Aborted at 1433347615 (unix time) try "date -d @1433347615" if you are using GNU date ***
  111. PC: @ 0x7f49df0546e8 caffe::SoftmaxWithLossLayer<>::Backward_cpu()
  112. *** SIGSEGV (@0x7b492834ba90) received by PID 32570 (TID 0x7f49df666a40) from PID 674544272; stack trace: ***
  113. @ 0x7f49de17bd40 (unknown)
  114. @ 0x7f49df0546e8 caffe::SoftmaxWithLossLayer<>::Backward_cpu()
  115. @ 0x7f49defa153d caffe::Net<>::BackwardFromTo()
  116. @ 0x7f49defa16e1 caffe::Net<>::Backward()
  117. @ 0x7f49def9588d caffe::Solver<>::Step()
  118. @ 0x7f49def961cf caffe::Solver<>::Solve()
  119. @ 0x4064e6 train()
  120. @ 0x404a21 main
  121. @ 0x7f49de166ec5 (unknown)
  122. @ 0x404fcd (unknown)
  123. @ 0x0 (unknown)
  124. Segmentation fault (core dumped)
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