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gylee1103 / SaliencyELD

Source code for Deep Saliency with Encoded Low Level Distance Map and High Level Features, CVPR 2016.
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cuda & cudnn versions ? #7

Open BorisMansencal opened 6 years ago

BorisMansencal commented 6 years ago

Could you please specify in the README which CUDA and CUDNN versions you used ?

I am unable to compile the provided caffe code with CUDA 8.0 and CUDNN 4 or 5. I get errors relative to cudnn

-- Generating /data/TREC/TMPTMP/SaliencyELD/caffe/build/src/caffe/CMakeFiles/cuda_compile.dir/layers/./cuda_compile_generated_cudnn_conv_layer.cu.o
/usr/local/cuda/bin/nvcc /data/TREC/TMPTMP/SaliencyELD/caffe/src/caffe/layers/cudnn_conv_layer.cu -c -o /data/TREC/TMPTMP/SaliencyELD/caffe/build/src/caffe/CMakeFiles/cuda_compile.dir/layers/./cuda_compile_generated_cudnn_conv_layer.cu.o -ccbin /usr/bin/gcc -m64 -DUSE_LMDB -DUSE_LEVELDB -DUSE_CUDNN -DUSE_OPENCV -DWITH_PYTHON_LAYER -DGTEST_USE_OWN_TR1_TUPLE -Xcompiler ,\"-fPIC\",\"-Wall\",\"-Wno-sign-compare\",\"-Wno-uninitialized\",\"-O3\",\"-DNDEBUG\" -I/net/Tools/CUDNN4/cuda/include -Xcompiler -I/net/Tools/CUDNN4/cuda/include -gencode arch=compute_35,code=sm_35 -Xcudafe --diag_suppress=cc_clobber_ignored -Xcudafe --diag_suppress=integer_sign_change -Xcudafe --diag_suppress=useless_using_declaration -Xcudafe --diag_suppress=set_but_not_used -Xcompiler -fPIC -DNVCC -I/usr/local/cuda/include -I/data/TREC/TMPTMP/SaliencyELD/caffe/src -I/usr/include -I/data/TREC/TMPTMP/SaliencyELD/caffe/build/include -I/net/Tools/CUDNN4/cuda/include -I/usr/local/cuda/include -I/net/Tools/include -I/net/Tools/include/opencv -I/usr/include/python2.7 -I/usr/labri/mansenca/.local/lib/python2.7/site-packages/numpy/core/include -I/data/TREC/TMPTMP/SaliencyELD/caffe/include -I/data/TREC/TMPTMP/SaliencyELD/caffe/build
/data/TREC/TMPTMP/SaliencyELD/caffe/src/caffe/layers/cudnn_conv_layer.cu(81): error: argument of type "cudnnAddMode_t" is incompatible with parameter of type "const void *"
          detected during instantiation of "void caffe::CuDNNConvolutionLayer<Dtype>::Forward_gpu(const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &, const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &) [with Dtype=float]" 
(157): here

/data/TREC/TMPTMP/SaliencyELD/caffe/src/caffe/layers/cudnn_conv_layer.cu(81): error: argument of type "const void *" is incompatible with parameter of type "cudnnTensorDescriptor_t"
          detected during instantiation of "void caffe::CuDNNConvolutionLayer<Dtype>::Forward_gpu(const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &, const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &) [with Dtype=float]" 
(157): here

/data/TREC/TMPTMP/SaliencyELD/caffe/src/caffe/layers/cudnn_conv_layer.cu(81): error: argument of type "const void *" is incompatible with parameter of type "cudnnTensorDescriptor_t"
          detected during instantiation of "void caffe::CuDNNConvolutionLayer<Dtype>::Forward_gpu(const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &, const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &) [with Dtype=float]" 
(157): here

/data/TREC/TMPTMP/SaliencyELD/caffe/src/caffe/layers/cudnn_conv_layer.cu(81): error: too many arguments in function call
          detected during instantiation of "void caffe::CuDNNConvolutionLayer<Dtype>::Forward_gpu(const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &, const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &) [with Dtype=float]" 
(157): here

/data/TREC/TMPTMP/SaliencyELD/caffe/src/caffe/layers/cudnn_conv_layer.cu(125): error: argument of type "const void *" is incompatible with parameter of type "cudnnConvolutionBwdFilterAlgo_t"
          detected during instantiation of "void caffe::CuDNNConvolutionLayer<Dtype>::Backward_gpu(const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &, const std::vector<__nv_bool, std::allocator<__nv_bool>> &, const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &) [with Dtype=float]" 
(157): here

/data/TREC/TMPTMP/SaliencyELD/caffe/src/caffe/layers/cudnn_conv_layer.cu(125): error: argument of type "float *" is incompatible with parameter of type "size_t"
          detected during instantiation of "void caffe::CuDNNConvolutionLayer<Dtype>::Backward_gpu(const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &, const std::vector<__nv_bool, std::allocator<__nv_bool>> &, const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &) [with Dtype=float]" 
(157): here

/data/TREC/TMPTMP/SaliencyELD/caffe/src/caffe/layers/cudnn_conv_layer.cu(125): error: too few arguments in function call
          detected during instantiation of "void caffe::CuDNNConvolutionLayer<Dtype>::Backward_gpu(const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &, const std::vector<__nv_bool, std::allocator<__nv_bool>> &, const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &) [with Dtype=float]" 
(157): here

/data/TREC/TMPTMP/SaliencyELD/caffe/src/caffe/layers/cudnn_conv_layer.cu(140): error: argument of type "const void *" is incompatible with parameter of type "cudnnConvolutionBwdDataAlgo_t"
          detected during instantiation of "void caffe::CuDNNConvolutionLayer<Dtype>::Backward_gpu(const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &, const std::vector<__nv_bool, std::allocator<__nv_bool>> &, const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &) [with Dtype=float]" 
(157): here

/data/TREC/TMPTMP/SaliencyELD/caffe/src/caffe/layers/cudnn_conv_layer.cu(140): error: argument of type "float *" is incompatible with parameter of type "size_t"
          detected during instantiation of "void caffe::CuDNNConvolutionLayer<Dtype>::Backward_gpu(const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &, const std::vector<__nv_bool, std::allocator<__nv_bool>> &, const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &) [with Dtype=float]" 
(157): here

/data/TREC/TMPTMP/SaliencyELD/caffe/src/caffe/layers/cudnn_conv_layer.cu(140): error: too few arguments in function call
          detected during instantiation of "void caffe::CuDNNConvolutionLayer<Dtype>::Backward_gpu(const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &, const std::vector<__nv_bool, std::allocator<__nv_bool>> &, const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &) [with Dtype=float]" 
(157): here

/data/TREC/TMPTMP/SaliencyELD/caffe/src/caffe/layers/cudnn_conv_layer.cu(81): error: argument of type "cudnnAddMode_t" is incompatible with parameter of type "const void *"
          detected during instantiation of "void caffe::CuDNNConvolutionLayer<Dtype>::Forward_gpu(const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &, const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &) [with Dtype=double]" 
(157): here

/data/TREC/TMPTMP/SaliencyELD/caffe/src/caffe/layers/cudnn_conv_layer.cu(81): error: argument of type "const void *" is incompatible with parameter of type "cudnnTensorDescriptor_t"
          detected during instantiation of "void caffe::CuDNNConvolutionLayer<Dtype>::Forward_gpu(const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &, const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &) [with Dtype=double]" 
(157): here

/data/TREC/TMPTMP/SaliencyELD/caffe/src/caffe/layers/cudnn_conv_layer.cu(81): error: argument of type "const void *" is incompatible with parameter of type "cudnnTensorDescriptor_t"
          detected during instantiation of "void caffe::CuDNNConvolutionLayer<Dtype>::Forward_gpu(const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &, const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &) [with Dtype=double]" 
(157): here

/data/TREC/TMPTMP/SaliencyELD/caffe/src/caffe/layers/cudnn_conv_layer.cu(81): error: too many arguments in function call
          detected during instantiation of "void caffe::CuDNNConvolutionLayer<Dtype>::Forward_gpu(const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &, const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &) [with Dtype=double]" 
(157): here

/data/TREC/TMPTMP/SaliencyELD/caffe/src/caffe/layers/cudnn_conv_layer.cu(125): error: argument of type "const void *" is incompatible with parameter of type "cudnnConvolutionBwdFilterAlgo_t"
          detected during instantiation of "void caffe::CuDNNConvolutionLayer<Dtype>::Backward_gpu(const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &, const std::vector<__nv_bool, std::allocator<__nv_bool>> &, const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &) [with Dtype=double]" 
(157): here

/data/TREC/TMPTMP/SaliencyELD/caffe/src/caffe/layers/cudnn_conv_layer.cu(125): error: argument of type "double *" is incompatible with parameter of type "size_t"
          detected during instantiation of "void caffe::CuDNNConvolutionLayer<Dtype>::Backward_gpu(const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &, const std::vector<__nv_bool, std::allocator<__nv_bool>> &, const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &) [with Dtype=double]" 
(157): here

/data/TREC/TMPTMP/SaliencyELD/caffe/src/caffe/layers/cudnn_conv_layer.cu(125): error: too few arguments in function call
          detected during instantiation of "void caffe::CuDNNConvolutionLayer<Dtype>::Backward_gpu(const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &, const std::vector<__nv_bool, std::allocator<__nv_bool>> &, const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &) [with Dtype=double]" 
(157): here

/data/TREC/TMPTMP/SaliencyELD/caffe/src/caffe/layers/cudnn_conv_layer.cu(140): error: argument of type "const void *" is incompatible with parameter of type "cudnnConvolutionBwdDataAlgo_t"
          detected during instantiation of "void caffe::CuDNNConvolutionLayer<Dtype>::Backward_gpu(const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &, const std::vector<__nv_bool, std::allocator<__nv_bool>> &, const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &) [with Dtype=double]" 
(157): here

/data/TREC/TMPTMP/SaliencyELD/caffe/src/caffe/layers/cudnn_conv_layer.cu(140): error: argument of type "double *" is incompatible with parameter of type "size_t"
          detected during instantiation of "void caffe::CuDNNConvolutionLayer<Dtype>::Backward_gpu(const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &, const std::vector<__nv_bool, std::allocator<__nv_bool>> &, const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &) [with Dtype=double]" 
(157): here

/data/TREC/TMPTMP/SaliencyELD/caffe/src/caffe/layers/cudnn_conv_layer.cu(140): error: too few arguments in function call
          detected during instantiation of "void caffe::CuDNNConvolutionLayer<Dtype>::Backward_gpu(const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &, const std::vector<__nv_bool, std::allocator<__nv_bool>> &, const std::vector<caffe::Blob<Dtype> *, std::allocator<caffe::Blob<Dtype> *>> &) [with Dtype=double]" 
(157): here

20 errors detected in the compilation of "/tmp/tmpxft_00010075_00000000-7_cudnn_conv_layer.cpp1.ii".
-- Removing /data/TREC/TMPTMP/SaliencyELD/caffe/build/src/caffe/CMakeFiles/cuda_compile.dir/layers/./cuda_compile_generated_cudnn_conv_layer.cu.o
/usr/bin/cmake -E remove /data/TREC/TMPTMP/SaliencyELD/caffe/build/src/caffe/CMakeFiles/cuda_compile.dir/layers/./cuda_compile_generated_cudnn_conv_layer.cu.o
CMake Error at cuda_compile_generated_cudnn_conv_layer.cu.o.cmake:266 (message):
  Error generating file
  /data/TREC/TMPTMP/SaliencyELD/caffe/build/src/caffe/CMakeFiles/cuda_compile.dir/layers/./cuda_compile_generated_cudnn_conv_layer.cu.o

It seems that we need to use CUDNN 3 and thus CUDA 7.0. Could you confirm this ?

mra83 commented 5 years ago

Hi, Does it work with CUDA 7.0 and CUDNN 3? Thanks,

lalychen commented 5 years ago

hello I want to know how to train these to models,because I can not understand this README clealy. Thank you very much!