Troubleshooting

• CUDNN_STATUS_NOT_INITIALIZED

  • You might see error message like these:

    I0729 22:37:45.483937439   56788 ev_epoll_linux.c:82]        Use of signals is disabled. Epoll enginll not be used
    E0729 22:37:45.515343 56788 version.cpp:82] Failed to get cuda runtime version: CUDA driver version nsufficient for CUDA runtime version
    F0729 22:38:31.209002 56788 improver.cpp:535] Check failed: mem_size > 0 (-524288000 vs. 0)
    

    F0723 19:05:56.194067 40970 cuda_util.cpp:82] Check failed: error == CUDNN_STATUS_SUCCESS (1 vs. 0) CUDNN_STATUS_NOT_INITIALIZED
    

  • Please upgrade to Nvidia Linux x86_64 driver. Version >= 440.33 is recommended.

  • For more information, please refer to CUDA compatibility documentation.

• Failed to compile .cu files

  • Please refer to CUDA System Requirements . Make sure your linux distribution and libraries shipped with it meet the requirements.

  • If you are using tools like conda, please make sure libraries you install doesn’t shade the proper installation comes with linux distribution or package management like apt-get.

  • Please build OneFlow with a newer version of CMake. You could download version 3.14 from here: https://github.com/Kitware/CMake/releases/download/v3.14.0/cmake-3.14.0-Linux-x86_64.tar.gz

• How do I know what compilers and flags are used to compile OneFlow?

  • run make clean && make VERBOSE=1 to get exact compile commands with compiler path and flags

• How to compile OneFlow with RDMA support?

  • add cmake flag -DBUILD_RDMA to compile OneFlow

• Which version of g++ CMake is using to build OneFlow?

  • You should find a line like this in CMake output:

    -- CMAKE_CXX_COMPILER_VERSION: [YOUR G++ VERSION NUMBER]
    

• Failed to compile NCCL

  • Try use less threads when compiling OneFlow third party. For instance, use

    cmake -DTHIRD_PARTY=ON .. && make
    

    instead of

    cmake -DTHIRD_PARTY=ON .. && make -j$(nproc) `
    

• "CUDA_VERSION" "VERSION_GREATER_EQUAL" "10.0"

  • Please use a newer version of CMake

  • Make sure cmake is correctly included in PATH

• CUBLAS not found

  • Usually it happens when using CUDA 10.1 or newer

  • You should see error massage by CMake like this:

    cuda lib not found: /usr/local/miniconda3/envs/dl/lib/libcublas_static.a or
    /usr/local/cuda/lib64/libcublas_static.a
    

  • Make sure libcublas_static.a is in one of the two directories.

• When running OneFlow in gdb, there is no debug information for code location.

  • add cmake flag -DCMAKE_BUILD_TYPE=RELWITHDEBINFO or -DCMAKE_BUILD_TYPE=DEBUG and recompile

• libof_ccobj.a: File truncated

  • You might see error message like this:

    /usr/bin/ar: libof_ccobj.a: File truncated
    make[2]: *** [libof_ccobj.a] Error 1
    make[2]: *** Deleting file `libof_ccobj.a'
    make[1]: *** [CMakeFiles/of_ccobj.dir/all] Error 2
    make: *** [all] Error 2
    

  • You should upgrade your GNU Binutils. Version 2.33.1 is recommended. If you are using conda, you could install it by running conda install -c conda-forge binutils

• Failed to compile because C++ 17 is enabled

  • In some cases, environment variable CXXFLAGS is not empty and contains --std c++17.

  • Check if it is empty by running echo $CXXFLAGS and clear it with unset CXXFLAGS.

• cmake outputs error No CMAKE_ASM_NASM_COMPILER could be found.

  • Install nasm. For instance, run sudo yum install nasm if you are on centos.

• No module named 'google.protobuf'

  • You might see error message like this:

    Scanning dependencies of target generate_api
    ...
        from google.protobuf import descriptor as _descriptor
    ModuleNotFoundError: No module named 'google.protobuf'
    CMakeFiles/generate_api.dir/build.make:57: recipe for target 'CMakeFiles/generate_api' failed
    make[2]: *** [CMakeFiles/generate_api] Error 1
    

  • Install development dependencies by running:

    pip3 install -r dev-requirements.txt
    

• Get gdb warning ptrace: Operation not permitted. and gdb command bt prints no backtrace

  • You might get this warning when debugging OneFlow with gdb inside a docker container. Try add these flags when launching your container:

    docker run --cap-add=SYS_PTRACE --security-opt seccomp=unconfined
    

  • Please refer to https://stackoverflow.com/questions/19215177/how-to-solve-ptrace-operation-not-permitted-when-trying-to-attach-gdb-to-a-pro

• It takes too long to download python packages when running make

  • If you are in China, you could run this to have pip download packages from domestic mirror of pypi:

    python3 -m pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
    

  • For more information on this, please refer to pypi 镜像使用帮助