Comments (7)
- first, use
python -m venv test_mim
to create a venv environment. - second, use
pip install torch==1.10.0+cu102 torchvision==0.11.1+cu102 torchaudio===0.10.0+cu102 -f https://download.pytorch.org/whl/cu102/torch_stable.html
as pytorch.org suggested to install the pytorch - then, use
pip install openmim
andmim install mmcv-full
to install mmcv and it will show up a successfully installed message. - last, use
pip list
in this venv, and you cannot find the installed mmcv package
from mim.
Encountered the same issue :(
from mim.
Hi, thanks for your report. Could you provide the full log?
from mim.
Sorry for the late reply, I am not quite clear what the full log
is.
My environment is:
'sys.platform': 'win32', 'Python': '3.7.8 (tags/v3.7.8:4b47a5b6ba, Jun 28 2020, 08:53:46) [MSC v.1916 64 bit (AMD64)]', 'CUDA available': True, 'GPU 0': 'GeForce GTX 850M', 'CUDA_HOME': 'C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.2', 'NVCC': 'Cuda compilation tools, release 10.2, V10.2.89', 'GCC': 'gcc (x86_64-posix-seh-rev0, Built by MinGW-W64 project) 8.1.0', 'PyTorch': '1.7.1+cu101', 'PyTorch compiling details': 'PyTorch built with:\n - C++ Version: 199711\n - MSVC 192729112\n - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191125 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v1.6.0 (Git Hash 5ef631a030a6f73131c77892041042805a06064f)\n - OpenMP 2019\n - CPU capability usage: AVX2\n - CUDA Runtime 10.1\n - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-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_37,code=compute_37\n - CuDNN 7.6.4\n - Magma 2.5.4\n - Build settings: BLAS=MKL, BUILD_TYPE=Release, CXX_FLAGS=/DWIN32 /D_WINDOWS /GR
/EHsc /w /bigobj -openmp:experimental -DNDEBUG -DUSE_FBGEMM -DUSE_VULKAN_WRAPPER, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, USE_CUDA=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=OFF, USE_OPENMP=ON, \n', 'TorchVision': '0.8.2+cu110', 'OpenCV': '4.5.2', 'MMCV': '1.3.18', 'MMCV Compiler': 'n/a', 'MMCV CUDA Compiler': 'n/a'
using python -c "from mmcv.utils import collect_env; print(collect_env())"
as mmcv recommended.
from mim.
Could you provide some steps to reproduce the error?
from mim.
Thank you for your patience. I will try to reproduce the error.
from mim.
Same, any news about that?
from mim.
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from mim.