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subprocess-exited-with-error #3123
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Please TT |
@LiuxinYLX
Then build again. Also you should following this installation guide, and install from wheel, I personally think it is better. |
Firstly, thank you very much for your reply! :) Also, I have followed the installation guide you provided a few weeks ago. Thank you very much for searching out this information for me. In the last few weeks I have successfully installed mmcv and mmdetection on a computer without a GPU, but not yet on a computer with a GPU. Maybe it's because I'm using a remote server...and I always have the trouble with its dependencies. Anyway I will continue searching. Thanks a lot! |
Prerequisite
Environment
OrderedDict([('sys.platform', 'linux'), ('Python', '3.8.19 (default, Mar 20 2024, 19:58:24) [GCC 11.2.0]'), ('CUDA available', False), ('MUSA available', False), ('numpy_random_seed', 2147483648), ('GCC', 'x86_64-conda_cos6-linux-gnu-gcc (crosstool-NG 1.24.0.133_b0863d8_dirty) 7.5.0'), ('PyTorch', '2.3.0'), ('PyTorch compiling details', 'PyTorch built with:\n - GCC 9.3\n - C++ Version: 201703\n - Intel(R) oneAPI Math Kernel Library Version 2023.1-Product Build 20230303 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v3.3.6 (Git Hash 86e6af5974177e513fd3fee58425e1063e7f1361)\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: AVX2\n - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=0 -fabi-version=11 -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -DLIBKINETO_NOROCTRACER -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=pedantic -Wno-error=old-style-cast -Wno-missing-braces -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=2.3.0, USE_CUDA=0, USE_CUDNN=OFF, USE_CUSPARSELT=OFF, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, \n'), ('TorchVision', '0.18.0'), ('OpenCV', '4.10.0'), ('MMEngine', '0.10.4'), ('MMCV', '2.2.0'), ('MMCV Compiler', 'n/a'), ('MMCV CUDA Compiler', 'n/a')])
Reproduces the problem - code sample
At the fifth step to install mmcv from source :
pip install -e . -v
Reproduces the problem - command or script
git clone https://github.com/open-mmlab/mmcv.git
cd mmcv
pip install -r requirements/optional.txt
nvcc --version
gcc --version
pip install -e . -v
Reproduces the problem - error message
I got the errors (cf. photo):
Additional information
I can not install mmcv neither on computers without GPU nor on computers with GPU. Do you have some ideas to help me resolve it, please?
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