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Check failed: target_blobs.size() == source_layer.blobs_size() (1 vs. 2) Incompatible number of blobs for layer Conv

See original GitHub issue

I used gen_model.py to generate train.prototxt. However, when training MobileNetv2-SSDLite, this issue arised.

I1213 14:58:07.939759 21634 net.cpp:761] Ignoring source layer input
I1213 14:58:07.939764 21634 net.cpp:761] Ignoring source layer data_input_0_split
F1213 14:58:07.939779 21634 net.cpp:767] Check failed: target_blobs.size() == source_layer.blobs_size() (1 vs. 2) Incompatible number of blobs for layer Conv
*** Check failure stack trace: ***

Issue Analytics

State:
Created 5 years ago
Comments:10

Top GitHub Comments

1reaction

gongdalinuxcommented, Jan 18, 2019

@gongdalinux try this gen_model.py

I tried your gen_model.py. But got the issue: F0117 21:34:50.957195 1386 multibox_loss_layer.cpp:141] Check failed: num_priors_ * num_classes_ == bottom[1]->channels() (44091 vs. 41925) Number of priors must match number of confidence predictions. *** Check failure stack trace: *** @ 0x7f11efa7d5cd google::LogMessage::Fail() @ 0x7f11efa7f433 google::LogMessage::SendToLog() @ 0x7f11efa7d15b google::LogMessage::Flush() @ 0x7f11efa7fe1e google::LogMessageFatal::~LogMessageFatal() @ 0x7f11f0323a02 caffe::MultiBoxLossLayer<>::Reshape() @ 0x7f11f0388933 caffe::Net<>::Init() @ 0x7f11f038a161 caffe::Net<>::Net() @ 0x7f11f01be78a caffe::Solver<>::InitTrainNet() @ 0x7f11f01bfa87 caffe::Solver<>::Init() @ 0x7f11f01bfe2a caffe::Solver<>::Solver() @ 0x7f11f03a88e9 caffe::Creator_RMSPropSolver<>() @ 0x40afd9 train() @ 0x4077e8 main @ 0x7f11ee213830 __libc_start_main @ 0x4080b9 _start @ (nil) (unknown) Aborted (core dumped) Do you know how to fix it? TKS~

0reactions

weilanShicommented, Jun 30, 2020

@gongdalinux try this gen_model.py

I tried your gen_model.py. But got the issue: F0117 21:34:50.957195 1386 multibox_loss_layer.cpp:141] Check failed: num_priors_ * num_classes_ == bottom[1]->channels() (44091 vs. 41925) Number of priors must match number of confidence predictions. *** Check failure stack trace: *** @ 0x7f11efa7d5cd google::LogMessage::Fail() @ 0x7f11efa7f433 google::LogMessage::SendToLog() @ 0x7f11efa7d15b google::LogMessage::Flush() @ 0x7f11efa7fe1e google::LogMessageFatal::~LogMessageFatal() @ 0x7f11f0323a02 caffe::MultiBoxLossLayer<>::Reshape() @ 0x7f11f0388933 caffe::Net<>::Init() @ 0x7f11f038a161 caffe::Net<>::Net() @ 0x7f11f01be78a caffe::Solver<>::InitTrainNet() @ 0x7f11f01bfa87 caffe::Solver<>::Init() @ 0x7f11f01bfe2a caffe::Solver<>::Solver() @ 0x7f11f03a88e9 caffe::Creator_RMSPropSolver<>() @ 0x40afd9 train() @ 0x4077e8 main @ 0x7f11ee213830 __libc_start_main @ 0x4080b9 _start @ (nil) (unknown) Aborted (core dumped) Do you know how to fix it? TKS~

It works，thanks