compile error with CPU_ONLY option

[avd77]

I am getting compile error with CPU_ONLY=1 in makefile.config.

make -j 5 all tools pycaffe examples/mnist examples/cpp_classification examples/siamese examples/cifar10 matlab/+caffe/private python/caffe src/caffe src/caffe/layers src/caffe/util src/caffe/test src/caffe/proto src/caffe/solvers src/gtest tools PROTOC (python) src/caffe/proto/caffe.proto CXX src/caffe/layers/dropout_layer.cpp CXX src/caffe/layers/hdf5_data_layer.cpp PROTOC src/caffe/proto/caffe.proto CXX src/caffe/layers/channel_norm_layer.cpp CXX src/caffe/layers/image_data_layer.cpp CXX src/caffe/layers/neg_relu_layer.cpp CXX src/caffe/layers/im2col_layer.cpp CXX src/caffe/layers/loss_layer.cpp src/caffe/layers/channel_norm_layer.cpp: In instantiation of ‘void caffe::ChannelNormLayer::Reshape(const std::vector<caffe::Blob>&, const std::vector<caffe::Blob>&) [with Dtype = float]’: src/caffe/layers/channel_norm_layer.cpp:193:1: required from here src/caffe/layers/channel_norm_layer.cpp:34:13: warning: unused variable ‘channels’ [-Wunused-variable] const int channels = bottom[0]->channels(); ^ src/caffe/layers/channel_norm_layer.cpp: In instantiation of ‘void caffe::ChannelNormLayer::Reshape(const std::vector<caffe::Blob>&, const std::vector<caffe::Blob>&) [with Dtype = double]’: src/caffe/layers/channel_norm_layer.cpp:193:1: required from here src/caffe/layers/channel_norm_layer.cpp:34:13: warning: unused variable ‘channels’ [-Wunused-variable] CXX src/caffe/layers/pooling_layer.cpp CXX src/caffe/layers/hinge_loss_layer.cpp CXX src/caffe/layers/generate_augmentation_parameters_layer.cpp CXX src/caffe/layers/relu_layer.cpp CXX src/caffe/layers/imgreader_layer.cpp CXX src/caffe/layers/custom_data_layer.cpp CXX src/caffe/layers/cudnn_conv_layer.cpp CXX src/caffe/layers/cudnn_relu_layer.cpp CXX src/caffe/layers/imgwriter_layer.cpp CXX src/caffe/layers/sigmoid_layer.cpp CXX src/caffe/layers/reshape_layer.cpp In file included from ./include/caffe/common.hpp:19:0, from ./include/caffe/blob.hpp:8, from ./include/caffe/layer.hpp:8, from src/caffe/layers/generate_augmentation_parameters_layer.cpp:9: src/caffe/layers/generate_augmentation_parameters_layer.cpp:116:10: error: redefinition of ‘void caffe::GenerateAugmentationParametersLayer::Backward_gpu(const std::vector<caffe::Blob>&, const std::vector&, const std::vector<caffe::Blob>&)’ STUB_GPU(GenerateAugmentationParametersLayer); ^ ./include/caffe/util/device_alternate.hpp:17:6: note: in definition of macro ‘STUB_GPU’ void classname::Backward_gpu(const vector<Blob>& top, \ ^ In file included from src/caffe/layers/generate_augmentation_parameters_layer.cpp:10:0: ./include/caffe/layers/generate_augmentation_parameters_layer.hpp:38:16: error: ‘virtual void caffe::GenerateAugmentationParametersLayer::Backward_gpu(const std::vector<caffe::Blob>&, const std::vector&, const std::vector<caffe::Blob>&)’ previously declared here virtual void Backward_gpu(const vector<Blob>& top, ^ make: [.build_release/src/caffe/layers/generate_augmentation_parameters_layer.o] Error 1 make: Waiting for unfinished jobs.... In file included from ./include/caffe/common.hpp:19:0, from ./include/caffe/blob.hpp:8, from ./include/caffe/layer.hpp:8, from src/caffe/layers/imgwriter_layer.cpp:9: ./include/caffe/util/device_alternate.hpp:24:36: error: no ‘void caffe::ImgWriterLayer::Forward_gpu(const std::vector<caffe::Blob>&, const std::vector<caffe::Blob>&)’ member function declared in class ‘caffe::ImgWriterLayer’ const vector<Blob*>& top) { NO_GPU; } \ ^ src/caffe/layers/imgwriter_layer.cpp:147:1: note: in expansion of macro ‘STUB_GPU_FORWARD’ STUB_GPU_FORWARD(ImgWriterLayer, Forward); ^ make: *** [.build_release/src/caffe/layers/imgwriter_layer.o] Error 1

[avd77]

Makefile.config.txt

makefile.config

[nikolausmayer]

Hi, we never use the CPU_ONLY mode, so it's very possible that the compile error is our fault. We won't be able to provide support for this though, sorry.

[WeixiangXu]

try to uncomment "STUB_GPU"

[varteev]

Hi, I have the same error: I am compiling caffe for dispnet and see the same error (Debian on Virtualbox). How did you solve the issue?

[firasomran01]

Hallo guys, I am having the same problem. Did anyone manage to solve it ? Thanks

[Evidlo]

I'm also having the same issue. I wanted to try out flownet on a handful of images without the hassle of installing CUDA.

[nikolausmayer]

@Evidlo "freedom from hassle" is exactly what we made https://github.com/lmb-freiburg/flownet2-docker for :wink:

[benprofitt]

Was anyone ever able to find a solution to the original problem? I have an AMD GPU and unfortunately cannot use CUDA. :(

[nikolausmayer]

@benprofitt Unfortunately we do not have the capacity (or expertise) to provide support for this. Perhaps one of the numerous alternative implementations in PyTorch or TensorFlow can be used in your case (you can find some on GitHub). I cannot say for sure; I have never tested that.

[benprofitt]

@nikolausmayer Thank you for taking the time to respond, I will look into those options!