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facenet_caffe's Issues

about"the same shape, except at concat_axis"?

helloe, thanks for sharing your work. I want to train my dataset with providing network ,but the error appeared. I merely modified batchsize. the error is following:
"I1130 16:59:28.788107 13376 net.cpp:380] reduction_b_pool -> reduction_b_pool
I1130 16:59:28.788163 13376 net.cpp:122] Setting up reduction_b_pool
I1130 16:59:28.788167 13376 net.cpp:129] Top shape: 32 1088 3 3 (313344)
I1130 16:59:28.788169 13376 net.cpp:137] Memory required for data: 957980800
I1130 16:59:28.788172 13376 layer_factory.hpp:77] Creating layer reduction_b_concat
I1130 16:59:28.788175 13376 net.cpp:84] Creating Layer reduction_b_concat
I1130 16:59:28.788177 13376 net.cpp:406] reduction_b_concat <- reduction_b_3x3
I1130 16:59:28.788180 13376 net.cpp:406] reduction_b_concat <- reduction_b_3x3_2
I1130 16:59:28.788182 13376 net.cpp:406] reduction_b_concat <- reduction_b_3x3_4
I1130 16:59:28.788185 13376 net.cpp:406] reduction_b_concat <- reduction_b_pool
I1130 16:59:28.788187 13376 net.cpp:380] reduction_b_concat -> reduction_b_concat
Check failed: top_shape[j] == bottom[i]->shape(j) (2 vs. 3) All inputs must have the same shape, except at concat_axis.
*** Check failure stack trace: ***
@ 0x7f90d98e65cd google::LogMessage::Fail()
@ 0x7f90d98e8433 google::LogMessage::SendToLog()
@ 0x7f90d98e615b google::LogMessage::Flush()
@ 0x7f90d98e8e1e google::LogMessageFatal::~LogMessageFatal()
@ 0x7f90d9fbec11 caffe::ConcatLayer<>::Reshape()
@ 0x7f90da0b7797 caffe::Net<>::Init()
@ 0x7f90da0b9ece caffe::Net<>::Net()
@ 0x7f90da0cbf45 caffe::Solver<>::InitTrainNet()
@ 0x7f90da0cd335 caffe::Solver<>::Init()
@ 0x7f90da0cd64f caffe::Solver<>::Solver()
@ 0x7f90da0837a1 caffe::Creator_SGDSolver<>()
@ 0x40ada8 train()
@ 0x4075a8 main
@ 0x7f90d807c830 __libc_start_main
@ 0x407e79 _start
@ (nil) (unknown)
Aborted (core dumped)
"
How to modify the code? Can you help me ?Thanks very a lot .

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