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Caffe: a fast open framework for deep learning.
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mex: compile of ' "matlab/+caffe/private/caffe_.cpp"' failed. #6153

Open YerongLi opened 6 years ago

YerongLi commented 6 years ago

Hi:

I am trying to build matcaffe with matlab 2015a with gcc-4.7.4. (Ubuntu 16.04)

And I have succeed in compilng caffe for python already.

However, I met this "caffe_.cpp" issue and tried several solutions online does not know the best way to fix this. Could anyone help me on this?

 make matcaffe
PROTOC src/caffe/proto/caffe.proto
CXX .build_release/src/caffe/proto/caffe.pb.cc
CXX src/caffe/parallel.cpp
CXX src/caffe/solvers/adam_solver.cpp
CXX src/caffe/solvers/adagrad_solver.cpp
CXX src/caffe/solvers/sgd_solver.cpp
CXX src/caffe/solvers/rmsprop_solver.cpp
CXX src/caffe/solvers/adadelta_solver.cpp
CXX src/caffe/solvers/nesterov_solver.cpp
CXX src/caffe/common.cpp
CXX src/caffe/blob.cpp
CXX src/caffe/layers/scale_layer.cpp
CXX src/caffe/layers/exp_layer.cpp
CXX src/caffe/layers/loss_layer.cpp
CXX src/caffe/layers/batch_reindex_layer.cpp
CXX src/caffe/layers/crop_layer.cpp
CXX src/caffe/layers/input_layer.cpp
CXX src/caffe/layers/cudnn_lcn_layer.cpp
CXX src/caffe/layers/im2col_layer.cpp
CXX src/caffe/layers/tile_layer.cpp
CXX src/caffe/layers/cudnn_sigmoid_layer.cpp
CXX src/caffe/layers/parameter_layer.cpp
CXX src/caffe/layers/accuracy_layer.cpp
CXX src/caffe/layers/power_layer.cpp
CXX src/caffe/layers/contrastive_loss_layer.cpp
CXX src/caffe/layers/multinomial_logistic_loss_layer.cpp
CXX src/caffe/layers/sigmoid_layer.cpp
CXX src/caffe/layers/reshape_layer.cpp
CXX src/caffe/layers/conv_layer.cpp
CXX src/caffe/layers/embed_layer.cpp
CXX src/caffe/layers/cudnn_softmax_layer.cpp
CXX src/caffe/layers/recurrent_layer.cpp
CXX src/caffe/layers/image_data_layer.cpp
CXX src/caffe/layers/cudnn_lrn_layer.cpp
CXX src/caffe/layers/base_conv_layer.cpp
CXX src/caffe/layers/prelu_layer.cpp
CXX src/caffe/layers/cudnn_tanh_layer.cpp
CXX src/caffe/layers/lstm_layer.cpp
CXX src/caffe/layers/eltwise_layer.cpp
CXX src/caffe/layers/cudnn_pooling_layer.cpp
CXX src/caffe/layers/dropout_layer.cpp
CXX src/caffe/layers/flatten_layer.cpp
CXX src/caffe/layers/batch_norm_layer.cpp
CXX src/caffe/layers/argmax_layer.cpp
CXX src/caffe/layers/euclidean_loss_layer.cpp
CXX src/caffe/layers/tanh_layer.cpp
CXX src/caffe/layers/lstm_unit_layer.cpp
CXX src/caffe/layers/sigmoid_cross_entropy_loss_layer.cpp
CXX src/caffe/layers/elu_layer.cpp
CXX src/caffe/layers/concat_layer.cpp
CXX src/caffe/layers/hdf5_data_layer.cpp
CXX src/caffe/layers/softmax_layer.cpp
CXX src/caffe/layers/pooling_layer.cpp
CXX src/caffe/layers/relu_layer.cpp
CXX src/caffe/layers/rnn_layer.cpp
CXX src/caffe/layers/spp_layer.cpp
CXX src/caffe/layers/hinge_loss_layer.cpp
CXX src/caffe/layers/memory_data_layer.cpp
CXX src/caffe/layers/window_data_layer.cpp
CXX src/caffe/layers/filter_layer.cpp
CXX src/caffe/layers/softmax_loss_layer.cpp
CXX src/caffe/layers/deconv_layer.cpp
CXX src/caffe/layers/bias_layer.cpp
CXX src/caffe/layers/bnll_layer.cpp
CXX src/caffe/layers/hdf5_output_layer.cpp
CXX src/caffe/layers/threshold_layer.cpp
CXX src/caffe/layers/reduction_layer.cpp
CXX src/caffe/layers/absval_layer.cpp
CXX src/caffe/layers/neuron_layer.cpp
CXX src/caffe/layers/log_layer.cpp
CXX src/caffe/layers/cudnn_relu_layer.cpp
CXX src/caffe/layers/silence_layer.cpp
CXX src/caffe/layers/infogain_loss_layer.cpp
CXX src/caffe/layers/inner_product_layer.cpp
CXX src/caffe/layers/cudnn_conv_layer.cpp
CXX src/caffe/layers/slice_layer.cpp
CXX src/caffe/layers/dummy_data_layer.cpp
CXX src/caffe/layers/data_layer.cpp
CXX src/caffe/layers/base_data_layer.cpp
CXX src/caffe/layers/mvn_layer.cpp
CXX src/caffe/layers/lrn_layer.cpp
CXX src/caffe/layers/split_layer.cpp
CXX src/caffe/util/db_leveldb.cpp
CXX src/caffe/util/upgrade_proto.cpp
CXX src/caffe/util/cudnn.cpp
CXX src/caffe/util/im2col.cpp
CXX src/caffe/util/db_lmdb.cpp
CXX src/caffe/util/db.cpp
CXX src/caffe/util/insert_splits.cpp
CXX src/caffe/util/benchmark.cpp
CXX src/caffe/util/blocking_queue.cpp
CXX src/caffe/util/hdf5.cpp
CXX src/caffe/util/io.cpp
CXX src/caffe/util/signal_handler.cpp
CXX src/caffe/util/math_functions.cpp
CXX src/caffe/syncedmem.cpp
CXX src/caffe/solver.cpp
CXX src/caffe/net.cpp
CXX src/caffe/internal_thread.cpp
CXX src/caffe/layer.cpp
CXX src/caffe/layer_factory.cpp
CXX src/caffe/data_transformer.cpp
AR -o .build_release/lib/libcaffe.a
MEX matlab/+caffe/private/caffe_.cpp
Warning: Legacy MEX infrastructure is provided for compatibility; it will be removed in a future version of MATLAB. For more information, consult the MEX release notes http://www.mathworks.com/help/matlab/release-notes.html.
matlab/+caffe/private/caffe_.cpp: In function ‘void delete_solver(int, mxArray**, int, const mxArray**)’:
matlab/+caffe/private/caffe_.cpp:208:3: warning: lambda expressions only available with -std=c++11 or -std=gnu++11 [enabled by default]
matlab/+caffe/private/caffe_.cpp:208:4: error: no matching function for call to ‘remove_if(std::vector<boost::shared_ptr<caffe::Solver<float> > >::iterator, std::vector<boost::shared_ptr<caffe::Solver<float> > >::iterator, delete_solver(int, mxArray**, int, const mxArray**)::<lambda(const boost::shared_ptr<caffe::Solver<float> >&)>)’
matlab/+caffe/private/caffe_.cpp:208:4: note: candidate is:
In file included from /usr/include/c++/4.7/algorithm:63:0,
                 from ./include/caffe/blob.hpp:4,
                 from ./include/caffe/caffe.hpp:7,
                 from matlab/+caffe/private/caffe_.cpp:18:
/usr/include/c++/4.7/bits/stl_algo.h:1166:5: note: template<class _FIter, class _Predicate> _FIter std::remove_if(_FIter, _FIter, _Predicate)
matlab/+caffe/private/caffe_.cpp:208:4: error: template argument for ‘template<class _FIter, class _Predicate> _FIter std::remove_if(_FIter, _FIter, _Predicate)’ uses local type ‘delete_solver(int, mxArray**, int, const mxArray**)::<lambda(const boost::shared_ptr<caffe::Solver<float> >&)>’
matlab/+caffe/private/caffe_.cpp:208:4: error:   trying to instantiate ‘template<class _FIter, class _Predicate> _FIter std::remove_if(_FIter, _FIter, _Predicate)’
matlab/+caffe/private/caffe_.cpp: In function ‘void delete_net(int, mxArray**, int, const mxArray**)’:
matlab/+caffe/private/caffe_.cpp:293:3: warning: lambda expressions only available with -std=c++11 or -std=gnu++11 [enabled by default]
matlab/+caffe/private/caffe_.cpp:293:4: error: no matching function for call to ‘remove_if(std::vector<boost::shared_ptr<caffe::Net<float> > >::iterator, std::vector<boost::shared_ptr<caffe::Net<float> > >::iterator, delete_net(int, mxArray**, int, const mxArray**)::<lambda(const boost::shared_ptr<caffe::Net<float> >&)>)’
matlab/+caffe/private/caffe_.cpp:293:4: note: candidate is:
In file included from /usr/include/c++/4.7/algorithm:63:0,
                 from ./include/caffe/blob.hpp:4,
                 from ./include/caffe/caffe.hpp:7,
                 from matlab/+caffe/private/caffe_.cpp:18:
/usr/include/c++/4.7/bits/stl_algo.h:1166:5: note: template<class _FIter, class _Predicate> _FIter std::remove_if(_FIter, _FIter, _Predicate)
matlab/+caffe/private/caffe_.cpp:293:4: error: template argument for ‘template<class _FIter, class _Predicate> _FIter std::remove_if(_FIter, _FIter, _Predicate)’ uses local type ‘delete_net(int, mxArray**, int, const mxArray**)::<lambda(const boost::shared_ptr<caffe::Net<float> >&)>’
matlab/+caffe/private/caffe_.cpp:293:4: error:   trying to instantiate ‘template<class _FIter, class _Predicate> _FIter std::remove_if(_FIter, _FIter, _Predicate)’

    mex: compile of ' "matlab/+caffe/private/caffe_.cpp"' failed.

Makefile:522: recipe for target 'matlab/+caffe/private/caffe_.mexa64' failed
make: *** [matlab/+caffe/private/caffe_.mexa64] Error 255

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Issue summary

Steps to reproduce

If you are having difficulty building Caffe or training a model, please ask the caffe-users mailing list. If you are reporting a build error that seems to be due to a bug in Caffe, please attach your build configuration (either Makefile.config or CMakeCache.txt) and the output of the make (or cmake) command.

Your system configuration

Operating system: Compiler: CUDA version (if applicable): CUDNN version (if applicable): BLAS: Python or MATLAB version (for pycaffe and matcaffe respectively):

edWin-m commented 6 years ago

Add "CXXFLAGS += -std=c++11" in Makefile, as follows: image