zhouzaida
commented
2 years ago Hi @an99990 , thanks for your report. You can use the PR (https://github.com/open-mmlab/mmcv/pull/1653) to fix the error.
Closed an99990 closed 2 years ago
zhouzaida
commented
2 years ago Hi @an99990 , thanks for your report. You can use the PR (https://github.com/open-mmlab/mmcv/pull/1653) to fix the error.
an99990
commented
2 years ago it worked, i was able to build wit pip install e . thank you @zhouzaida
Describe the Issue A clear and concise description of what the bug is, including what results are expected and what the real results you got.
Reproduction
Environment
Please run
python -c "from mmcv.utils import collect_env; print(collect_env())"to collect necessary environment information and paste it here.{'sys.platform': 'linux', 'Python': '3.8.12 | packaged by conda-forge | (default, Oct 12 2021, 21:59:51) [GCC 9.4.0]', 'CUDA available': True, 'GPU 0': 'Quadro RTX 4000', 'CUDA_HOME': '/usr/local/cuda', 'NVCC': 'Build cuda_11.6.r11.6/compiler.30794723_0', 'GCC': 'gcc (Ubuntu 9.3.0-17ubuntu1~20.04) 9.3.0', 'PyTorch': '1.11.0a0+bfe5ad2', 'PyTorch compiling details': 'PyTorch built with:\n - GCC 9.3\n - C++ Version: 201402\n - Intel(R) Math Kernel Library Version 2019.0.5 Product Build 20190808 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.2.3 (Git Hash N/A)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - LAPACK is enabled (usually provided by MKL)\n - NNPACK is enabled\n - CPU capability usage: AVX512\n - CUDA Runtime 11.6\n - NVCC architecture flags: -gencode;arch=compute_52,code=sm_52;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_86,code=compute_86\n - CuDNN 8.3.2 (built against CUDA 11.5)\n - Magma 2.5.2\n - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/usr/bin/c++, CXX_FLAGS=-fno-gnu-unique -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.11.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=ON, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, \n', 'TorchVision': '0.12.0a0', 'OpenCV': '3.4.11', 'MMCV': '1.4.4', 'MMCV Compiler': 'n/a', 'MMCV CUDA Compiler': 'n/a'}You may add addition that may be helpful for locating the problem, such as
$PATH,$LD_LIBRARY_PATH,$PYTHONPATH, etc.) I am using nvidia container to run mmvc. and it looks like it cannot find torch because when i do import torch i getAttributeError: partially initialized module 'torch' has no attribute '_C' (most likely due to a circular import)Error traceback
Bug fix