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ubuntu - 安装 caffe 时出现“CUDNN_STATUS_VERSION_MISMATCH”错误

转载 作者:行者123 更新时间:2023-12-04 18:48:58 27 4
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我按照http://caffe.berkeleyvision.org/installation.html的说明尝试了caffe安装,ubuntu安装命令sudo apt install caffe-cuda对错误根本不起作用

Package caffe-cuda is not available, but is referred to by another package.
This may mean that the package is missing, has been obsoleted, or
is only available from another source

E: Package 'caffe-cuda' has no installation candidate
所以我遵循“使用 Make 编译”部分。
我解决了所有依赖问题,但最终因“CUDNN_STATUS_VERSION_MISMATCH”错误而失败,为了解决我在谷歌上搜索的错误也尝试了 https://anidh.medium.com/install-caffe-on-ubuntu-with-cuda-6d0da9e8f860https://qengineering.eu/install-caffe-on-ubuntu-20.04-with-opencv-4.4.html ,都失败了,所以我在这里寻求帮助。
我的环境
  • 操作系统:Ubuntu 20.04 LTS
  • GPU:英伟达 GeForce GTX 1080Ti
  • 驱动版本:460.56
  • CUDA 版本:11.2
  • cuDNN 版本:8.1.1
  • Python 版本:3.8.5
  • conda 版本:4.9.2
  • C 编译器:GNU 9.3.0

  • 错误信息(只需制作):
    (base) a@ai:~/Software/caffe$ make clean
    (base) a@ai:~/Software/caffe$ make all -j8
    PROTOC src/caffe/proto/caffe.proto
    NVCC src/caffe/util/im2col.cu
    NVCC src/caffe/util/math_functions.cu
    NVCC src/caffe/solvers/adam_solver.cu
    NVCC src/caffe/solvers/adagrad_solver.cu
    NVCC src/caffe/solvers/adadelta_solver.cu
    NVCC src/caffe/solvers/nesterov_solver.cu
    NVCC src/caffe/solvers/rmsprop_solver.cu
    NVCC src/caffe/solvers/sgd_solver.cu
    In file included from src/caffe/util/math_functions.cu:1:
    /usr/local/cuda/include/math_functions.h:54:2: warning: #warning "math_functions.h is an internal header file and must not be used directly. This file will be removed in a future CUDA release. Please use cuda_runtime_api.h or cuda_runtime.h instead." [-Wcpp]
    54 | #warning "math_functions.h is an internal header file and must not be used directly. This file will be removed in a future CUDA release. Please use cuda_runtime_api.h or cuda_runtime.h instead."
    | ^~~~~~~
    NVCC src/caffe/layers/absval_layer.cu
    NVCC src/caffe/layers/pooling_layer.cu
    .
    .
    all success
    .
    .
    .
    CXX tools/caffe.cpp
    CXX tools/compute_image_mean.cpp
    In file included from ./include/caffe/util/device_alternate.hpp:40,
    from ./include/caffe/common.hpp:19,
    from ./include/caffe/util/db.hpp:6,
    from tools/compute_image_mean.cpp:12:
    ./include/caffe/util/cudnn.hpp: In function ‘const char* cudnnGetErrorString(cudnnStatus_t)’:
    ./include/caffe/util/cudnn.hpp:21:10: warning: enumeration value ‘CUDNN_STATUS_VERSION_MISMATCH’ not handled in switch [-Wswitch]
    21 | switch (status) {
    .
    .
    all failed with same error
    .
    .
    .
    CXX src/caffe/data_transformer.cpp
    In file included from ./include/caffe/util/device_alternate.hpp:40,
    from ./include/caffe/common.hpp:19,
    from src/caffe/util/io.cpp:18:
    ./include/caffe/util/cudnn.hpp: In function ‘const char* cudnnGetErrorString(cudnnStatus_t)’:
    ./include/caffe/util/cudnn.hpp:21:10: warning: enumeration value ‘CUDNN_STATUS_VERSION_MISMATCH’ not handled in switch [-Wswitch]
    21 | switch (status) {
    | ^
    src/caffe/util/io.cpp: In function ‘cv::Mat caffe::ReadImageToCVMat(const string&, int, int, bool)’:
    src/caffe/util/io.cpp:76:34: error: ‘CV_LOAD_IMAGE_COLOR’ was not declared in this scope
    76 | int cv_read_flag = (is_color ? CV_LOAD_IMAGE_COLOR :
    | ^~~~~~~~~~~~~~~~~~~
    src/caffe/util/io.cpp:77:5: error: ‘CV_LOAD_IMAGE_GRAYSCALE’ was not declared in this scope
    77 | CV_LOAD_IMAGE_GRAYSCALE);
    | ^~~~~~~~~~~~~~~~~~~~~~~
    src/caffe/util/io.cpp: In function ‘cv::Mat caffe::DecodeDatumToCVMat(const caffe::Datum&, bool)’:
    src/caffe/util/io.cpp:182:34: error: ‘CV_LOAD_IMAGE_COLOR’ was not declared in this scope
    182 | int cv_read_flag = (is_color ? CV_LOAD_IMAGE_COLOR :
    | ^~~~~~~~~~~~~~~~~~~
    src/caffe/util/io.cpp:183:5: error: ‘CV_LOAD_IMAGE_GRAYSCALE’ was not declared in this scope
    183 | CV_LOAD_IMAGE_GRAYSCALE);
    | ^~~~~~~~~~~~~~~~~~~~~~~
    make: *** [Makefile:592: .build_release/src/caffe/util/io.o] Error 1
    make: *** Waiting for unfinished jobs....
    In file included from ./include/caffe/util/device_alternate.hpp:40,
    from ./include/caffe/common.hpp:19,
    from ./include/caffe/util/db.hpp:6,
    from ./include/caffe/util/db_lmdb.hpp:10,
    from src/caffe/util/db_lmdb.cpp:2:
    ./include/caffe/util/cudnn.hpp: In function ‘const char* cudnnGetErrorString(cudnnStatus_t)’:
    ./include/caffe/util/cudnn.hpp:21:10: warning: enumeration value ‘CUDNN_STATUS_VERSION_MISMATCH’ not handled in switch [-Wswitch]
    21 | switch (status) {
    | ^
    .
    .
    all failed with same error
    .
    .
    .
    In file included from ./include/caffe/util/device_alternate.hpp:40,
    from ./include/caffe/common.hpp:19,
    from ./include/caffe/blob.hpp:8,
    from ./include/caffe/data_transformer.hpp:6,
    from src/caffe/data_transformer.cpp:8:
    ./include/caffe/util/cudnn.hpp: In function ‘const char* cudnnGetErrorString(cudnnStatus_t)’:
    ./include/caffe/util/cudnn.hpp:21:10: warning: enumeration value ‘CUDNN_STATUS_VERSION_MISMATCH’ not handled in switch [-Wswitch]
    21 | switch (status) {
    | ^
    另一个错误消息(cmake 然后 make):
    (base) a@ai:~/Software/caffe$ mkdir build
    (base) a@ai:~/Software/caffe$ cd build/
    (base) a@ai:~/Software/caffe/build$ cmake ..
    -- The C compiler identification is GNU 9.3.0
    -- The CXX compiler identification is GNU 9.3.0
    -- 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
    -- Detecting C compile features
    -- Detecting C compile features - 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
    -- Detecting CXX compile features
    -- Detecting CXX compile features - done
    CMake Warning (dev) at cmake/Misc.cmake:32 (set):
    implicitly converting 'BOOLEAN' to 'STRING' type.
    Call Stack (most recent call first):
    CMakeLists.txt:25 (include)
    This warning is for project developers. Use -Wno-dev to suppress it.

    -- Found Boost: /usr/lib/x86_64-linux-gnu/cmake/Boost-1.71.0/BoostConfig.cmake (found suitable version "1.71.0", minimum required is "1.54") found components: system thread filesystem
    -- 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;-lpthread (found version "3.6.1")
    -- Found PROTOBUF Compiler: /usr/bin/protoc
    -- HDF5: Using hdf5 compiler wrapper to determine C configuration
    -- HDF5: Using hdf5 compiler wrapper to determine CXX configuration
    -- Found HDF5: /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so;/usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so;/usr/lib/x86_64-linux-gnu/libpthread.so;/usr/lib/x86_64-linux-gnu/libsz.so;/usr/lib/x86_64-linux-gnu/libz.so;/usr/lib/x86_64-linux-gnu/libdl.so;/usr/lib/x86_64-linux-gnu/libm.so (found version "1.10.4") found components: HL
    -- 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/x86_64-linux-gnu/libsnappy.so)
    -- CUDA detected: 11.2
    -- Found cuDNN: ver. 8.1.1 found (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libcudnn.so)
    -- Added CUDA NVCC flags for: sm_61
    -- OpenCV found (/usr/lib/x86_64-linux-gnu/cmake/opencv4)
    -- Found Atlas: /usr/include/x86_64-linux-gnu
    -- Found Atlas (include: /usr/include/x86_64-linux-gnu library: /usr/lib/x86_64-linux-gnu/libatlas.so lapack: /usr/lib/x86_64-linux-gnu/liblapack.so
    -- Found PythonInterp: /usr/bin/python2.7 (found suitable version "2.7.18", minimum required is "2.7")
    -- Found PythonLibs: /usr/lib/x86_64-linux-gnu/libpython2.7.so (found suitable version "2.7.18", minimum required is "2.7")
    -- Found NumPy: /usr/lib/python2.7/dist-packages/numpy/core/include (found suitable version "1.16.5", minimum required is "1.7.1")
    -- NumPy ver. 1.16.5 found (include: /usr/lib/python2.7/dist-packages/numpy/core/include)
    -- Found Boost: /usr/lib/x86_64-linux-gnu/cmake/Boost-1.71.0/BoostConfig.cmake (found suitable version "1.71.0", minimum required is "1.46") found components: python
    -- Found Doxygen: /usr/bin/doxygen (found version "1.8.17") found components: doxygen missing components: dot
    -- Detected Doxygen OUTPUT_DIRECTORY: ./doxygen/
    -- Found Git: /usr/bin/git (found version "2.25.1")
    --
    -- ******************* Caffe Configuration Summary *******************
    -- General:
    -- Version : 1.0.0
    -- Git : unknown
    -- 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
    -- USE_NCCL : OFF
    -- ALLOW_LMDB_NOLOCK : OFF
    -- USE_HDF5 : ON
    --
    -- Dependencies:
    -- BLAS : Yes (Atlas)
    -- Boost : Yes (ver. 1.71)
    -- glog : Yes
    -- gflags : Yes
    -- protobuf : Yes (ver. 3.6.1)
    -- lmdb : Yes (ver. 0.9.24)
    -- LevelDB : Yes (ver. 1.22)
    -- Snappy : Yes (ver. 1.1.8)
    -- OpenCV : Yes (ver. 4.2.0)
    -- CUDA : Yes (ver. 11.2)
    --
    -- NVIDIA CUDA:
    -- Target GPU(s) : Auto
    -- GPU arch(s) : sm_61
    -- cuDNN : Yes (ver. 8.1.1)
    --
    -- Python:
    -- Interpreter : /usr/bin/python2.7 (ver. 2.7.18)
    -- Libraries : /usr/lib/x86_64-linux-gnu/libpython2.7.so (ver 2.7.18)
    -- NumPy : /usr/lib/python2.7/dist-packages/numpy/core/include (ver 1.16.5)
    --
    -- Documentaion:
    -- Doxygen : /usr/bin/doxygen (1.8.17)
    -- config_file : /home/a/Software/caffe/.Doxyfile
    --
    -- Install:
    -- Install path : /home/a/Software/caffe/build/install
    --
    -- Configuring done
    CMake Warning at src/caffe/CMakeLists.txt:23 (add_library):
    Cannot generate a safe runtime search path for target caffe because files
    in some directories may conflict with libraries in implicit directories:

    runtime library [libcudnn.so.8] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
    /usr/local/cuda-11.2/lib64

    Some of these libraries may not be found correctly.

    CMake Warning at python/CMakeLists.txt:8 (add_library):
    Cannot generate a safe runtime search path for target pycaffe because files
    in some directories may conflict with libraries in implicit directories:

    runtime library [libcudnn.so.8] in /usr/lib/x86_64-linux-gnu may be hidden by files in:
    /usr/local/cuda-11.2/lib64

    Some of these libraries may not be found correctly.


    -- Generating done
    -- Build files have been written to: /home/a/Software/caffe/build
    (base) a@ai:~/Software/caffe/build$ make all
    [ 1%] Running C++/Python protocol buffer compiler on /home/a/Software/caffe/src/caffe/proto/caffe.proto
    Scanning dependencies of target caffeproto
    [ 1%] Building CXX object src/caffe/CMakeFiles/caffeproto.dir/__/__/include/caffe/proto/caffe.pb.cc.o
    [ 1%] Linking CXX static library ../../lib/libcaffeproto.a
    [ 1%] Built target caffeproto
    [ 1%] Building NVCC (Device) object src/caffe/CMakeFiles/cuda_compile_1.dir/util/cuda_compile_1_generated_math_functions.cu.o
    In file included from /home/a/Software/caffe/src/caffe/util/math_functions.cu:1:
    /usr/local/cuda-11.2/include/math_functions.h:54:2: warning: #warning "math_functions.h is an internal header file and must not be used directly. This file will be removed in a future CUDA release. Please use cuda_runtime_api.h or cuda_runtime.h instead." [-Wcpp]
    /home/a/Software/caffe/include/caffe/util/cudnn.hpp: In function ‘const char* cudnnGetErrorString(cudnnStatus_t)’:
    /home/a/Software/caffe/include/caffe/util/cudnn.hpp:21:8: warning: enumeration value ‘CUDNN_STATUS_VERSION_MISMATCH’ not handled in switch [-Wswitch]
    21 | switch (status) {
    | ^
    [ 1%] Building NVCC (Device) object src/caffe/CMakeFiles/cuda_compile_1.dir/layers/cuda_compile_1_generated_absval_layer.cu.o
    /home/a/Software/caffe/include/caffe/util/cudnn.hpp: In function ‘const char* cudnnGetErrorString(cudnnStatus_t)’:
    /home/a/Software/caffe/include/caffe/util/cudnn.hpp:21:8: warning: enumeration value ‘CUDNN_STATUS_VERSION_MISMATCH’ not handled in switch [-Wswitch]

    .
    .
    dozens of same error
    .
    .
    .
    21 | switch (status) {
    | ^
    /home/a/Software/caffe/src/caffe/layers/cudnn_conv_layer.cpp: In member function ‘virtual void caffe::CuDNNConvolutionLayer<Dtype>::Reshape(const std::vector<caffe::Blob<Dtype>*>&, const std::vector<caffe::Blob<Dtype>*>&)’:
    /home/a/Software/caffe/src/caffe/layers/cudnn_conv_layer.cpp:136:7: error: ‘CUDNN_CONVOLUTION_FWD_SPECIFY_WORKSPACE_LIMIT’ was not declared in this scope
    136 | CUDNN_CONVOLUTION_FWD_SPECIFY_WORKSPACE_LIMIT,
    | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    /home/a/Software/caffe/include/caffe/util/cudnn.hpp:15:28: note: in definition of macro ‘CUDNN_CHECK’
    15 | cudnnStatus_t status = condition; \
    | ^~~~~~~~~
    /home/a/Software/caffe/src/caffe/layers/cudnn_conv_layer.cpp:131:17: error: there are no arguments to ‘cudnnGetConvolutionForwardAlgorithm’ that depend on a template parameter, so a declaration of ‘cudnnGetConvolutionForwardAlgorithm’ must be available [-fpermissive]
    131 | CUDNN_CHECK(cudnnGetConvolutionForwardAlgorithm(handle_[0],
    | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    /home/a/Software/caffe/include/caffe/util/cudnn.hpp:15:28: note: in definition of macro ‘CUDNN_CHECK’
    15 | cudnnStatus_t status = condition; \
    | ^~~~~~~~~
    /home/a/Software/caffe/src/caffe/layers/cudnn_conv_layer.cpp:131:17: note: (if you use ‘-fpermissive’, G++ will accept your code, but allowing the use of an undeclared name is deprecated)
    131 | CUDNN_CHECK(cudnnGetConvolutionForwardAlgorithm(handle_[0],
    | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    /home/a/Software/caffe/include/caffe/util/cudnn.hpp:15:28: note: in definition of macro ‘CUDNN_CHECK’
    15 | cudnnStatus_t status = condition; \
    | ^~~~~~~~~
    /home/a/Software/caffe/src/caffe/layers/cudnn_conv_layer.cpp:151:11: error: ‘CUDNN_CONVOLUTION_BWD_FILTER_SPECIFY_WORKSPACE_LIMIT’ was not declared in this scope
    151 | CUDNN_CONVOLUTION_BWD_FILTER_SPECIFY_WORKSPACE_LIMIT,
    | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    /home/a/Software/caffe/include/caffe/util/cudnn.hpp:15:28: note: in definition of macro ‘CUDNN_CHECK’
    15 | cudnnStatus_t status = condition; \
    | ^~~~~~~~~
    /home/a/Software/caffe/src/caffe/layers/cudnn_conv_layer.cpp:149:17: error: there are no arguments to ‘cudnnGetConvolutionBackwardFilterAlgorithm’ that depend on a template parameter, so a declaration of ‘cudnnGetConvolutionBackwardFilterAlgorithm’ must be available [-fpermissive]
    149 | CUDNN_CHECK(cudnnGetConvolutionBackwardFilterAlgorithm(handle_[0],
    | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    /home/a/Software/caffe/include/caffe/util/cudnn.hpp:15:28: note: in definition of macro ‘CUDNN_CHECK’
    15 | cudnnStatus_t status = condition; \
    | ^~~~~~~~~
    /home/a/Software/caffe/src/caffe/layers/cudnn_conv_layer.cpp:162:11: error: ‘CUDNN_CONVOLUTION_BWD_DATA_SPECIFY_WORKSPACE_LIMIT’ was not declared in this scope
    162 | CUDNN_CONVOLUTION_BWD_DATA_SPECIFY_WORKSPACE_LIMIT,
    | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    /home/a/Software/caffe/include/caffe/util/cudnn.hpp:15:28: note: in definition of macro ‘CUDNN_CHECK’
    15 | cudnnStatus_t status = condition; \
    | ^~~~~~~~~
    /home/a/Software/caffe/src/caffe/layers/cudnn_conv_layer.cpp:160:17: error: there are no arguments to ‘cudnnGetConvolutionBackwardDataAlgorithm’ that depend on a template parameter, so a declaration of ‘cudnnGetConvolutionBackwardDataAlgorithm’ must be available [-fpermissive]
    160 | CUDNN_CHECK(cudnnGetConvolutionBackwardDataAlgorithm(handle_[0],
    | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    /home/a/Software/caffe/include/caffe/util/cudnn.hpp:15:28: note: in definition of macro ‘CUDNN_CHECK’
    15 | cudnnStatus_t status = condition; \
    | ^~~~~~~~~
    /home/a/Software/caffe/src/caffe/layers/cudnn_conv_layer.cpp: In instantiation of ‘void caffe::CuDNNConvolutionLayer<Dtype>::Reshape(const std::vector<caffe::Blob<Dtype>*>&, const std::vector<caffe::Blob<Dtype>*>&) [with Dtype = float]’:
    /home/a/Software/caffe/src/caffe/layers/cudnn_conv_layer.cpp:266:1: required from here
    /home/a/Software/caffe/src/caffe/layers/cudnn_conv_layer.cpp:131:52: error: ‘cudnnGetConvolutionForwardAlgorithm’ was not declared in this scope; did you mean ‘cudnnGetConvolutionForwardAlgorithm_v7’?
    131 | CUDNN_CHECK(cudnnGetConvolutionForwardAlgorithm(handle_[0],
    | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
    132 | bottom_descs_[i],
    | ~~~~~~~~~~~~~~~~~
    133 | filter_desc_,
    | ~~~~~~~~~~~~~
    134 | conv_descs_[i],
    | ~~~~~~~~~~~~~~~
    135 | top_descs_[i],
    | ~~~~~~~~~~~~~~
    136 | CUDNN_CONVOLUTION_FWD_SPECIFY_WORKSPACE_LIMIT,
    | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    137 | workspace_limit_bytes,
    | ~~~~~~~~~~~~~~~~~~~~~~
    138 | &fwd_algo_[i]));
    | ~~~~~~~~~~~~~~
    /home/a/Software/caffe/include/caffe/util/cudnn.hpp:15:28: note: in definition of macro ‘CUDNN_CHECK’
    15 | cudnnStatus_t status = condition; \
    | ^~~~~~~~~
    /home/a/Software/caffe/src/caffe/layers/cudnn_conv_layer.cpp:149:59: error: ‘cudnnGetConvolutionBackwardFilterAlgorithm’ was not declared in this scope; did you mean ‘cudnnGetConvolutionBackwardFilterAlgorithm_v7’?
    149 | CUDNN_CHECK(cudnnGetConvolutionBackwardFilterAlgorithm(handle_[0],
    | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
    150 | bottom_descs_[i], top_descs_[i], conv_descs_[i], filter_desc_,
    | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    151 | CUDNN_CONVOLUTION_BWD_FILTER_SPECIFY_WORKSPACE_LIMIT,
    | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    152 | workspace_limit_bytes, &bwd_filter_algo_[i]) );
    | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    /home/a/Software/caffe/include/caffe/util/cudnn.hpp:15:28: note: in definition of macro ‘CUDNN_CHECK’
    15 | cudnnStatus_t status = condition; \
    | ^~~~~~~~~
    /home/a/Software/caffe/src/caffe/layers/cudnn_conv_layer.cpp:160:57: error: ‘cudnnGetConvolutionBackwardDataAlgorithm’ was not declared in this scope; did you mean ‘cudnnGetConvolutionBackwardDataAlgorithm_v7’?
    160 | CUDNN_CHECK(cudnnGetConvolutionBackwardDataAlgorithm(handle_[0],
    | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
    161 | filter_desc_, top_descs_[i], conv_descs_[i], bottom_descs_[i],
    | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    162 | CUDNN_CONVOLUTION_BWD_DATA_SPECIFY_WORKSPACE_LIMIT,
    | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    163 | workspace_limit_bytes, &bwd_data_algo_[i]));
    | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    /home/a/Software/caffe/include/caffe/util/cudnn.hpp:15:28: note: in definition of macro ‘CUDNN_CHECK’
    15 | cudnnStatus_t status = condition; \
    | ^~~~~~~~~
    /home/a/Software/caffe/src/caffe/layers/cudnn_conv_layer.cpp: In instantiation of ‘void caffe::CuDNNConvolutionLayer<Dtype>::Reshape(const std::vector<caffe::Blob<Dtype>*>&, const std::vector<caffe::Blob<Dtype>*>&) [with Dtype = double]’:
    /home/a/Software/caffe/src/caffe/layers/cudnn_conv_layer.cpp:266:1: required from here
    /home/a/Software/caffe/src/caffe/layers/cudnn_conv_layer.cpp:131:52: error: ‘cudnnGetConvolutionForwardAlgorithm’ was not declared in this scope; did you mean ‘cudnnGetConvolutionForwardAlgorithm_v7’?
    131 | CUDNN_CHECK(cudnnGetConvolutionForwardAlgorithm(handle_[0],
    | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
    132 | bottom_descs_[i],
    | ~~~~~~~~~~~~~~~~~
    133 | filter_desc_,
    | ~~~~~~~~~~~~~
    134 | conv_descs_[i],
    | ~~~~~~~~~~~~~~~
    135 | top_descs_[i],
    | ~~~~~~~~~~~~~~
    136 | CUDNN_CONVOLUTION_FWD_SPECIFY_WORKSPACE_LIMIT,
    | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    137 | workspace_limit_bytes,
    | ~~~~~~~~~~~~~~~~~~~~~~
    138 | &fwd_algo_[i]));
    | ~~~~~~~~~~~~~~
    /home/a/Software/caffe/include/caffe/util/cudnn.hpp:15:28: note: in definition of macro ‘CUDNN_CHECK’
    15 | cudnnStatus_t status = condition; \
    | ^~~~~~~~~
    /home/a/Software/caffe/src/caffe/layers/cudnn_conv_layer.cpp:149:59: error: ‘cudnnGetConvolutionBackwardFilterAlgorithm’ was not declared in this scope; did you mean ‘cudnnGetConvolutionBackwardFilterAlgorithm_v7’?
    149 | CUDNN_CHECK(cudnnGetConvolutionBackwardFilterAlgorithm(handle_[0],
    | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
    150 | bottom_descs_[i], top_descs_[i], conv_descs_[i], filter_desc_,
    | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    151 | CUDNN_CONVOLUTION_BWD_FILTER_SPECIFY_WORKSPACE_LIMIT,
    | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    152 | workspace_limit_bytes, &bwd_filter_algo_[i]) );
    | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    /home/a/Software/caffe/include/caffe/util/cudnn.hpp:15:28: note: in definition of macro ‘CUDNN_CHECK’
    15 | cudnnStatus_t status = condition; \
    | ^~~~~~~~~
    /home/a/Software/caffe/src/caffe/layers/cudnn_conv_layer.cpp:160:57: error: ‘cudnnGetConvolutionBackwardDataAlgorithm’ was not declared in this scope; did you mean ‘cudnnGetConvolutionBackwardDataAlgorithm_v7’?
    160 | CUDNN_CHECK(cudnnGetConvolutionBackwardDataAlgorithm(handle_[0],
    | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
    161 | filter_desc_, top_descs_[i], conv_descs_[i], bottom_descs_[i],
    | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    162 | CUDNN_CONVOLUTION_BWD_DATA_SPECIFY_WORKSPACE_LIMIT,
    | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    163 | workspace_limit_bytes, &bwd_data_algo_[i]));
    | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    /home/a/Software/caffe/include/caffe/util/cudnn.hpp:15:28: note: in definition of macro ‘CUDNN_CHECK’
    15 | cudnnStatus_t status = condition; \
    | ^~~~~~~~~
    make[2]: *** [src/caffe/CMakeFiles/caffe.dir/build.make:764: src/caffe/CMakeFiles/caffe.dir/layers/cudnn_conv_layer.cpp.o] Error 1
    make[1]: *** [CMakeFiles/Makefile2:401: src/caffe/CMakeFiles/caffe.dir/all] Error 2
    make: *** [Makefile:130: all] Error 2
    (base) a@ai:~/Software/caffe/build$ cd ..

    最佳答案

    我按照指示 here并且能够安装openposecaffe 之上.特别是,我将 g++ 降级为 3.8。我还安装了cuda-toolkit-11-3 Ubuntu 软件包。

    关于ubuntu - 安装 caffe 时出现“CUDNN_STATUS_VERSION_MISMATCH”错误,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/66568544/

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