image_classification vgg13 Check failed: (size_t)lbl[i] < dim (102 vs. 102)
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image_classification vgg13 Check failed: (size_t)lbl[i] < dim (102 vs. 102)
Created by: livc
➜ image_classification git:(develop) ✗ python train.py vgg13
/home/lizhao/.jumbo/lib/python2.7/site-packages/sklearn/externals/joblib/_multiprocessing_helpers.py:28: UserWarning: This platform l
acks a functioning sem_open implementation, therefore, the required synchronization primitives needed will not function, see issue 37
70.. joblib will operate in serial mode
warnings.warn('%s. joblib will operate in serial mode' % (e,))
I0705 14:23:52.511775 6784 Util.cpp:166] commandline: --use_gpu=False --trainer_count=1
[INFO 2017-07-05 14:23:52,518 layers.py:2412] output for __conv_0__: c = 64, h = 224, w = 224, size = 3211264
[INFO 2017-07-05 14:23:52,519 layers.py:2412] output for __conv_1__: c = 64, h = 224, w = 224, size = 3211264
[INFO 2017-07-05 14:23:52,520 layers.py:2537] output for __pool_0__: c = 64, h = 112, w = 112, size = 802816
[INFO 2017-07-05 14:23:52,521 layers.py:2412] output for __conv_2__: c = 128, h = 112, w = 112, size = 1605632
[INFO 2017-07-05 14:23:52,522 layers.py:2412] output for __conv_3__: c = 128, h = 112, w = 112, size = 1605632
[INFO 2017-07-05 14:23:52,523 layers.py:2537] output for __pool_1__: c = 128, h = 56, w = 56, size = 401408
[INFO 2017-07-05 14:23:52,524 layers.py:2412] output for __conv_4__: c = 256, h = 56, w = 56, size = 802816
[INFO 2017-07-05 14:23:52,525 layers.py:2412] output for __conv_5__: c = 256, h = 56, w = 56, size = 802816
[INFO 2017-07-05 14:23:52,526 layers.py:2537] output for __pool_2__: c = 256, h = 28, w = 28, size = 200704
[INFO 2017-07-05 14:23:52,527 layers.py:2412] output for __conv_6__: c = 512, h = 28, w = 28, size = 401408
[INFO 2017-07-05 14:23:52,528 layers.py:2412] output for __conv_7__: c = 512, h = 28, w = 28, size = 401408
[INFO 2017-07-05 14:23:52,529 layers.py:2537] output for __pool_3__: c = 512, h = 14, w = 14, size = 100352
[INFO 2017-07-05 14:23:52,530 layers.py:2412] output for __conv_8__: c = 512, h = 14, w = 14, size = 100352
[INFO 2017-07-05 14:23:52,531 layers.py:2412] output for __conv_9__: c = 512, h = 14, w = 14, size = 100352
[INFO 2017-07-05 14:23:52,532 layers.py:2537] output for __pool_4__: c = 512, h = 7, w = 7, size = 25088
I0705 14:23:55.889189 6784 GradientMachine.cpp:85] Initing parameters..
I0705 14:24:04.664135 6784 GradientMachine.cpp:92] Init parameters done.
F0705 14:28:51.952270 6784 Matrix.cpp:3286] Check failed: (size_t)lbl[i] < dim (102 vs. 102)
*** Check failure stack trace: ***
@ 0x7f01d1fa231d google::LogMessage::Fail()
@ 0x7f01d1fa5dcc google::LogMessage::SendToLog()
@ 0x7f01d1fa1e43 google::LogMessage::Flush()
@ 0x7f01d1fa72de google::LogMessageFatal::~LogMessageFatal()
@ 0x7f01d1dfe6b0 paddle::CpuMatrix::oneHotCrossEntropy()
@ 0x7f01d1d288e5 paddle::CostLayer::forward()
@ 0x7f01d1d996f0 paddle::NeuralNetwork::forward()
@ 0x7f01d1d75433 paddle::GradientMachine::forwardBackward()
@ 0x7f01d1f7db7b GradientMachine::forwardBackward()
@ 0x7f01d1bf87ce _wrap_GradientMachine_forwardBackward
@ 0x7f01dab763a3 PyEval_EvalFrameEx
@ 0x7f01dab78130 PyEval_EvalCodeEx
@ 0x7f01dab764a1 PyEval_EvalFrameEx
@ 0x7f01dab78130 PyEval_EvalCodeEx
@ 0x7f01dab764a1 PyEval_EvalFrameEx
@ 0x7f01dab78130 PyEval_EvalCodeEx
@ 0x7f01dab764a1 PyEval_EvalFrameEx
@ 0x7f01dab78130 PyEval_EvalCodeEx
@ 0x7f01dab764a1 PyEval_EvalFrameEx
@ 0x7f01dab78130 PyEval_EvalCodeEx
@ 0x7f01dab78242 PyEval_EvalCode
@ 0x7f01dab9262c run_mod
@ 0x7f01dab92700 PyRun_FileExFlags
@ 0x7f01dab93c0c PyRun_SimpleFileExFlags
@ 0x7f01daba54cc Py_Main
@ 0x318ae1ecdd (unknown)
Thread [139645940217600] Forwarding __cost_0__,
*** Aborted at 1499236132 (unix time) try "date -d @1499236132" if you are using GNU date ***
PC: @ 0x0 (unknown)
*** SIGABRT (@0x20900001a80) received by PID 6784 (TID 0x7f01daa93700) from PID 6784; stack trace: ***
@ 0x318b20f500 (unknown)
@ 0x318ae328a5 (unknown)
@ 0x318ae34085 (unknown)
@ 0x7f01d1fac85b google::FindSymbol()
@ 0x7f01d1fad21a google::GetSymbolFromObjectFile()
@ 0x7f01d1fad8e2 google::SymbolizeAndDemangle()
@ 0x7f01d1fab0e8 google::DumpStackTrace()
@ 0x7f01d1fab1a6 google::DumpStackTraceAndExit()
@ 0x7f01d1fa231d google::LogMessage::Fail()
@ 0x7f01d1fa5dcc google::LogMessage::SendToLog()
@ 0x7f01d1fa1e43 google::LogMessage::Flush()
@ 0x7f01d1fa72de google::LogMessageFatal::~LogMessageFatal()
@ 0x7f01d1dfe6b0 paddle::CpuMatrix::oneHotCrossEntropy()
@ 0x7f01d1d288e5 paddle::CostLayer::forward()
@ 0x7f01d1d996f0 paddle::NeuralNetwork::forward()
@ 0x7f01d1d75433 paddle::GradientMachine::forwardBackward()
@ 0x7f01d1f7db7b GradientMachine::forwardBackward()
@ 0x7f01d1bf87ce _wrap_GradientMachine_forwardBackward
@ 0x7f01dab763a3 PyEval_EvalFrameEx
@ 0x7f01dab78130 PyEval_EvalCodeEx
@ 0x7f01dab764a1 PyEval_EvalFrameEx
@ 0x7f01dab78130 PyEval_EvalCodeEx
@ 0x7f01dab764a1 PyEval_EvalFrameEx
@ 0x7f01dab78130 PyEval_EvalCodeEx
@ 0x7f01dab764a1 PyEval_EvalFrameEx
@ 0x7f01dab78130 PyEval_EvalCodeEx
@ 0x7f01dab764a1 PyEval_EvalFrameEx
@ 0x7f01dab78130 PyEval_EvalCodeEx
@ 0x7f01dab78242 PyEval_EvalCode
@ 0x7f01dab9262c run_mod
@ 0x7f01dab92700 PyRun_FileExFlags
@ 0x7f01dab93c0c PyRun_SimpleFileExFlags
[1] 6784 abort (core dumped) python train.py vgg13Created by: shanyi15
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