Deeplab v2 does not support cuDNN v5?

[ksnzh]

This is cmake output.

➜  build git:(master) cmake ..
-- The C compiler identification is GNU 4.9.4
-- The CXX compiler identification is GNU 4.9.4
-- Check for working C compiler: /usr/bin/cc
-- Check for working C compiler: /usr/bin/cc -- works
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Check for working CXX compiler: /usr/bin/c++
-- Check for working CXX compiler: /usr/bin/c++ -- works
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Boost version: 1.54.0
-- Found the following Boost libraries:
--   system
--   thread
--   filesystem
-- Looking for include file pthread.h
-- Looking for include file pthread.h - found
-- Looking for pthread_create
-- Looking for pthread_create - not found
-- Looking for pthread_create in pthreads
-- Looking for pthread_create in pthreads - not found
-- Looking for pthread_create in pthread
-- Looking for pthread_create in pthread - found
-- Found Threads: TRUE  
-- Found GFlags: /usr/include  
-- Found gflags  (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libgflags.so)
-- Found Glog: /usr/include  
-- Found glog    (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libglog.so)
-- Found PROTOBUF: /usr/lib/x86_64-linux-gnu/libprotobuf.so  
-- Found PROTOBUF Compiler: /usr/bin/protoc
-- Found HDF5: /usr/lib/x86_64-linux-gnu/libhdf5_hl.so;/usr/lib/x86_64-linux-gnu/libhdf5.so  
-- Found LMDB: /usr/include  
-- Found lmdb    (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/liblmdb.so)
-- Found LevelDB: /usr/include  
-- Found LevelDB (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libleveldb.so)
-- Found Snappy: /usr/include  
-- Found Snappy  (include: /usr/include, library: /usr/lib/libsnappy.so)
-- CUDA detected: 7.5
-- Found cuDNN: ver. 5.0.5 found (include: /usr/local/cuda/include, library: /usr/local/cuda/lib64/libcudnn.so)
-- Added CUDA NVCC flags for: sm_52
-- OpenCV found (/usr/share/OpenCV)
-- Found Atlas: /usr/include  
-- Found Atlas (include: /usr/include, library: /usr/lib/libatlas.so)
-- Found PythonInterp: /home/ksnzh/anaconda2/bin/python2.7 (found suitable version "2.7.12", minimum required is "2.7") 
-- Found PythonLibs: /usr/lib/x86_64-linux-gnu/libpython2.7.so (found suitable version "2.7.6", minimum required is "2.7") 
-- Found NumPy: /home/ksnzh/anaconda2/lib/python2.7/site-packages/numpy/core/include (found suitable version "1.10.4", minimum required is "1.7.1") 
-- NumPy ver. 1.10.4 found (include: /home/ksnzh/anaconda2/lib/python2.7/site-packages/numpy/core/include)
-- Boost version: 1.54.0
-- Found the following Boost libraries:
--   python
-- Could NOT find Doxygen (missing:  DOXYGEN_EXECUTABLE) 
-- Found Git: /usr/bin/git (found version "1.9.1") 
-- 
-- ******************* Caffe Configuration Summary *******************
-- General:
--   Version           :   1.0.0-rc3
--   Git               :   271d8e6
--   System            :   Linux
--   C++ compiler      :   /usr/bin/c++
--   Release CXX flags :   -O3 -DNDEBUG -fPIC -Wall -Wno-sign-compare -Wno-uninitialized
--   Debug CXX flags   :   -g -fPIC -Wall -Wno-sign-compare -Wno-uninitialized
--   Build type        :   Release
-- 
--   BUILD_SHARED_LIBS :   ON
--   BUILD_python      :   ON
--   BUILD_matlab      :   OFF
--   BUILD_docs        :   ON
--   CPU_ONLY          :   OFF
--   USE_OPENCV        :   ON
--   USE_LEVELDB       :   ON
--   USE_LMDB          :   ON
--   ALLOW_LMDB_NOLOCK :   OFF
-- 
-- Dependencies:
--   BLAS              :   Yes (Atlas)
--   Boost             :   Yes (ver. 1.54)
--   glog              :   Yes
--   gflags            :   Yes
--   protobuf          :   Yes (ver. 2.5.0)
--   lmdb              :   Yes (ver. 0.9.10)
--   LevelDB           :   Yes (ver. 1.15)
--   Snappy            :   Yes (ver. 1.1.0)
--   OpenCV            :   Yes (ver. 2.4.8)
--   CUDA              :   Yes (ver. 7.5)
-- 
-- NVIDIA CUDA:
--   Target GPU(s)     :   Auto
--   GPU arch(s)       :   sm_52
--   cuDNN             :   Yes (ver. 5.0.5)
-- 
-- Python:
--   Interpreter       :   /home/ksnzh/anaconda2/bin/python2.7 (ver. 2.7.12)
--   Libraries         :   /usr/lib/x86_64-linux-gnu/libpython2.7.so (ver 2.7.6)
--   NumPy             :   /home/ksnzh/anaconda2/lib/python2.7/site-packages/numpy/core/include (ver 1.10.4)
-- 
-- Documentaion:
--   Doxygen           :   No
--   config_file       :   
-- 
-- Install:
--   Install path      :   /media/ksnzh/DATA/deeplab/DeepLab-Context2/build/install
-- 
-- Configuring done
-- Generating done
-- Build files have been written to: /media/ksnzh/DATA/deeplab/DeepLab-Context2/build

When I make all, I met errors.

➜  build git:(master) make all -j8
[  1%] Running C++/Python protocol buffer compiler on /media/ksnzh/DATA/deeplab/DeepLab-Context2/src/caffe/proto/caffe.proto
Scanning dependencies of target proto
[  1%] Building CXX object src/caffe/CMakeFiles/proto.dir/__/__/include/caffe/proto/caffe.pb.cc.o
Linking CXX static library ../../lib/libproto.a
[  1%] Built target proto
[  1%] [  1%] [  1%] [  2%] Building NVCC (Device) object src/caffe/CMakeFiles/cuda_compile.dir/layers/./cuda_compile_generated_domain_transform_layer.cu.o
Building NVCC (Device) object src/caffe/CMakeFiles/cuda_compile.dir/util/./cuda_compile_generated_interp.cu.o
[  2%] Building NVCC (Device) object src/caffe/CMakeFiles/cuda_compile.dir/layers/./cuda_compile_generated_cudnn_pooling_layer.cu.o
Building NVCC (Device) object src/caffe/CMakeFiles/cuda_compile.dir/layers/./cuda_compile_generated_eltwise_layer.cu.o
[  2%] Building NVCC (Device) object src/caffe/CMakeFiles/cuda_compile.dir/layers/./cuda_compile_generated_tile_layer.cu.o
Building NVCC (Device) object src/caffe/CMakeFiles/cuda_compile.dir/layers/./cuda_compile_generated_cudnn_tanh_layer.cu.o
[  4%] Building NVCC (Device) object src/caffe/CMakeFiles/cuda_compile.dir/layers/./cuda_compile_generated_relu_layer.cu.o
[  4%] Building NVCC (Device) object src/caffe/CMakeFiles/cuda_compile.dir/layers/./cuda_compile_generated_silence_layer.cu.o
/media/ksnzh/DATA/deeplab/DeepLab-Context2/src/caffe/layers/cudnn_tanh_layer.cu(13): error: argument of type "cudnnActivationMode_t" is incompatible with parameter of type "cudnnActivationDescriptor_t"
          detected during instantiation of "void caffe::CuDNNTanHLayer<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]" 
(43): here

/media/ksnzh/DATA/deeplab/DeepLab-Context2/src/caffe/layers/cudnn_tanh_layer.cu(34): error: argument of type "cudnnActivationMode_t" is incompatible with parameter of type "cudnnActivationDescriptor_t"
          detected during instantiation of "void caffe::CuDNNTanHLayer<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]" 
(43): here

/media/ksnzh/DATA/deeplab/DeepLab-Context2/src/caffe/layers/cudnn_tanh_layer.cu(13): error: argument of type "cudnnActivationMode_t" is incompatible with parameter of type "cudnnActivationDescriptor_t"
          detected during instantiation of "void caffe::CuDNNTanHLayer<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]" 
(43): here

/media/ksnzh/DATA/deeplab/DeepLab-Context2/src/caffe/layers/cudnn_tanh_layer.cu(34): error: argument of type "cudnnActivationMode_t" is incompatible with parameter of type "cudnnActivationDescriptor_t"
          detected during instantiation of "void caffe::CuDNNTanHLayer<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]" 
(43): here

4 errors detected in the compilation of "/tmp/tmpxft_000012a7_00000000-7_cudnn_tanh_layer.cpp1.ii".
CMake Error at cuda_compile_generated_cudnn_tanh_layer.cu.o.cmake:264 (message):
  Error generating file
  /media/ksnzh/DATA/deeplab/DeepLab-Context2/build/src/caffe/CMakeFiles/cuda_compile.dir/layers/./cuda_compile_generated_cudnn_tanh_layer.cu.o


make[2]: *** [src/caffe/CMakeFiles/cuda_compile.dir/layers/./cuda_compile_generated_cudnn_tanh_layer.cu.o] 错误 1
make[2]: *** 正在等待未完成的任务....
/media/ksnzh/DATA/deeplab/DeepLab-Context2/include/caffe/util/cudnn.hpp(126): error: argument of type "int" is incompatible with parameter of type "cudnnNanPropagation_t"

/media/ksnzh/DATA/deeplab/DeepLab-Context2/include/caffe/util/cudnn.hpp(126): error: too few arguments in function call

/media/ksnzh/DATA/deeplab/DeepLab-Context2/include/caffe/util/cudnn.hpp(126): error: argument of type "int" is incompatible with parameter of type "cudnnNanPropagation_t"

/media/ksnzh/DATA/deeplab/DeepLab-Context2/include/caffe/util/cudnn.hpp(126): error: too few arguments in function call

/media/ksnzh/DATA/deeplab/DeepLab-Context2/include/caffe/util/cudnn.hpp(126): error: argument of type "int" is incompatible with parameter of type "cudnnNanPropagation_t"

/media/ksnzh/DATA/deeplab/DeepLab-Context2/include/caffe/util/cudnn.hpp(126): error: too few arguments in function call

/media/ksnzh/DATA/deeplab/DeepLab-Context2/include/caffe/util/cudnn.hpp(126): error: argument of type "int" is incompatible with parameter of type "cudnnNanPropagation_t"

/media/ksnzh/DATA/deeplab/DeepLab-Context2/include/caffe/util/cudnn.hpp(126): error: too few arguments in function call

/media/ksnzh/DATA/deeplab/DeepLab-Context2/include/caffe/util/cudnn.hpp(126): error: argument of type "int" is incompatible with parameter of type "cudnnNanPropagation_t"

/media/ksnzh/DATA/deeplab/DeepLab-Context2/include/caffe/util/cudnn.hpp(126): error: too few arguments in function call

2 errors detected in the compilation of "/tmp/tmpxft_0000129d_00000000-5_cudnn_pooling_layer.cpp4.ii".
CMake Error at cuda_compile_generated_cudnn_pooling_layer.cu.o.cmake:264 (message):
  Error generating file
  /media/ksnzh/DATA/deeplab/DeepLab-Context2/build/src/caffe/CMakeFiles/cuda_compile.dir/layers/./cuda_compile_generated_cudnn_pooling_layer.cu.o


make[2]: *** [src/caffe/CMakeFiles/cuda_compile.dir/layers/./cuda_compile_generated_cudnn_pooling_layer.cu.o] 错误 1
2 errors detected in the compilation of "/tmp/tmpxft_00001298_00000000-5_interp.cpp4.ii".
2 errors detected in the compilation of "/tmp/tmpxft_000012ae_00000000-5_tile_layer.cpp4.ii".
CMake Error at cuda_compile_generated_interp.cu.o.cmake:264 (message):
  Error generating file
  /media/ksnzh/DATA/deeplab/DeepLab-Context2/build/src/caffe/CMakeFiles/cuda_compile.dir/util/./cuda_compile_generated_interp.cu.o


make[2]: *** [src/caffe/CMakeFiles/cuda_compile.dir/util/./cuda_compile_generated_interp.cu.o] 错误 1
CMake Error at cuda_compile_generated_tile_layer.cu.o.cmake:264 (message):
  Error generating file
  /media/ksnzh/DATA/deeplab/DeepLab-Context2/build/src/caffe/CMakeFiles/cuda_compile.dir/layers/./cuda_compile_generated_tile_layer.cu.o


make[2]: *** [src/caffe/CMakeFiles/cuda_compile.dir/layers/./cuda_compile_generated_tile_layer.cu.o] 错误 1
2 errors detected in the compilation of "/tmp/tmpxft_000012b1_00000000-5_relu_layer.cpp4.ii".
2 errors detected in the compilation of "/tmp/tmpxft_0000128e_00000000-5_domain_transform_layer.cpp4.ii".
CMake Error at cuda_compile_generated_relu_layer.cu.o.cmake:264 (message):
  Error generating file
  /media/ksnzh/DATA/deeplab/DeepLab-Context2/build/src/caffe/CMakeFiles/cuda_compile.dir/layers/./cuda_compile_generated_relu_layer.cu.o


CMake Error at cuda_compile_generated_domain_transform_layer.cu.o.cmake:264 (message):
  Error generating file
  /media/ksnzh/DATA/deeplab/DeepLab-Context2/build/src/caffe/CMakeFiles/cuda_compile.dir/layers/./cuda_compile_generated_domain_transform_layer.cu.o


make[2]: *** [src/caffe/CMakeFiles/cuda_compile.dir/layers/./cuda_compile_generated_relu_layer.cu.o] 错误 1
make[2]: *** [src/caffe/CMakeFiles/cuda_compile.dir/layers/./cuda_compile_generated_domain_transform_layer.cu.o] 错误 1
/media/ksnzh/DATA/deeplab/DeepLab-Context2/include/caffe/util/cudnn.hpp(126): error: argument of type "int" is incompatible with parameter of type "cudnnNanPropagation_t"

/media/ksnzh/DATA/deeplab/DeepLab-Context2/include/caffe/util/cudnn.hpp(126): error: too few arguments in function call

/media/ksnzh/DATA/deeplab/DeepLab-Context2/include/caffe/util/cudnn.hpp(126): error: argument of type "int" is incompatible with parameter of type "cudnnNanPropagation_t"

/media/ksnzh/DATA/deeplab/DeepLab-Context2/include/caffe/util/cudnn.hpp(126): error: too few arguments in function call

2 errors detected in the compilation of "/tmp/tmpxft_000012c0_00000000-5_eltwise_layer.cpp4.ii".
CMake Error at cuda_compile_generated_eltwise_layer.cu.o.cmake:264 (message):
  Error generating file
  /media/ksnzh/DATA/deeplab/DeepLab-Context2/build/src/caffe/CMakeFiles/cuda_compile.dir/layers/./cuda_compile_generated_eltwise_layer.cu.o


make[2]: *** [src/caffe/CMakeFiles/cuda_compile.dir/layers/./cuda_compile_generated_eltwise_layer.cu.o] 错误 1
2 errors detected in the compilation of "/tmp/tmpxft_000012d3_00000000-5_silence_layer.cpp4.ii".
CMake Error at cuda_compile_generated_silence_layer.cu.o.cmake:264 (message):
  Error generating file
  /media/ksnzh/DATA/deeplab/DeepLab-Context2/build/src/caffe/CMakeFiles/cuda_compile.dir/layers/./cuda_compile_generated_silence_layer.cu.o


make[2]: *** [src/caffe/CMakeFiles/cuda_compile.dir/layers/./cuda_compile_generated_silence_layer.cu.o] 错误 1
make[1]: *** [src/caffe/CMakeFiles/caffe.dir/all] 错误 2
make: *** [all] 错误 2

Does this problem caused by cuDNN v5 or other?

Thanks.

[ksnzh]

I swiched to cuDNN v4 with cuda7.5.
It compiled successfully.

[100%] [100%] Built target test_net
Scanning dependencies of target classification
Building CXX object tools/CMakeFiles/upgrade_solver_proto_text.dir/upgrade_solver_proto_text.cpp.o
[100%] [100%] Built target finetune_net
Building CXX object examples/CMakeFiles/classification.dir/cpp_classification/classification.cpp.o
Scanning dependencies of target convert_cifar_data
[100%] Building CXX object examples/CMakeFiles/convert_cifar_data.dir/cifar10/convert_cifar_data.cpp.o
Linking CXX executable train_net
[100%] Built target train_net
Scanning dependencies of target convert_mnist_data
[100%] Building CXX object examples/CMakeFiles/convert_mnist_data.dir/mnist/convert_mnist_data.cpp.o
Linking CXX executable extract_features
[100%] Built target extract_features
Scanning dependencies of target convert_mnist_siamese_data
[100%] Building CXX object examples/CMakeFiles/convert_mnist_siamese_data.dir/siamese/convert_mnist_siamese_data.cpp.o
Linking CXX executable cifar10/convert_cifar_data
[100%] Built target convert_cifar_data
Linking CXX executable upgrade_net_proto_binary
Scanning dependencies of target pycaffe
[100%] Linking CXX executable mnist/convert_mnist_data
Building CXX object python/CMakeFiles/pycaffe.dir/caffe/_caffe.cpp.o
Linking CXX executable upgrade_solver_proto_text
Linking CXX executable upgrade_net_proto_text
[100%] Built target upgrade_net_proto_binary
[100%] Built target convert_mnist_data
Linking CXX executable siamese/convert_mnist_siamese_data
[100%] Built target upgrade_net_proto_text
[100%] Built target upgrade_solver_proto_text
[100%] Built target convert_mnist_siamese_data
Linking CXX executable cpp_classification/classification
[100%] Built target classification
Linking CXX executable caffe
[100%] Built target caffe.bin
Linking CXX shared library ../lib/_caffe.so
Creating symlink /media/ksnzh/DATA/deeplab/DeepLab-Context2/python/caffe/_caffe.so -> /media/ksnzh/DATA/deeplab/DeepLab-Context2/build/lib/_caffe.so
[100%] Built target pycaffe

[TheLegendAli]

Thanks, yes you are right. I add that to the Read Me. Thanks.

[akiduki]

Just FYI, the cuDNN v5 support can be added by patching relevant files from BVLC/caffe#4159.