An error occurred when run cpp_classification for ResNet

[heagoo]

An error occurred when run cpp_classification for ResNet from https://github.com/KaimingHe/deep-residual-networks

./build/examples/cpp_classification/classification.bin ./ResNet-101-deploy.prototxt ./ResNet-101-model.caffemodel ./ResNet_mean.binaryproto data/ilsvrc12/synset_words.txt examples/images/cat.jpg
F0830 02:25:38.625051 18678 net.cpp:785] Check failed: target_blobs.size() == source_layer.blobs_size() (2 vs. 3) Incompatible number of blobs for layer bn_conv1
*** Check failure stack trace: ***
@ 0x7f61a2222ddd google::LogMessage::Fail()
@ 0x7f61a2224c9f google::LogMessage::SendToLog()
@ 0x7f61a2222973 google::LogMessage::Flush()
@ 0x7f61a22255be google::LogMessageFatal::~LogMessageFatal()
@ 0x7f61a27ae822 caffe::Net<>::CopyTrainedLayersFrom()
@ 0x7f61a27b49d2 caffe::Net<>::CopyTrainedLayersFromBinaryProto()
@ 0x7f61a27b4a36 caffe::Net<>::CopyTrainedLayersFrom()
@ 0x7f61a8f4d729 Classifier::Classifier()
@ 0x7f61a8f4a73b main
@ 0x7f619ee31af5 __libc_start_main
@ 0x7f61a8f4adbd (unknown)
Aborted (core dumped)

while, there is no such error for BVLC caffe.

[heagoo]

btw, i use the MKL2017 engine:
USE_MKL2017_AS_DEFAULT_ENGINE := 1

[jczaja]

Thank you very much for report of this failure. Currently model of You choice is not working with USE_MKL2017_AS_DEFAULT _ENGINE:= 1. As a temporary workaround please do not use USE_MKL2017_AS_DEFAULT_ENGINE:=1 . Use Caffe Engine. We hope to have it fixed soon. Sorry for inconvenience.

[pnoga]

Bug has been fixed and new version of IntelCaffe was deployed.
Please check the current status.

[jdukat]

@heagoo, we will close this issue within next few days unless we hear from you that the problem still exists.

[pnoga]

closing issue as fixed