Open Pevernow opened 4 months ago
{'sys.platform': 'win32', 'Python': '3.10.11 (tags/v3.10.11:7d4cc5a, Apr 5 2023, 00:38:17) [MSC v.1929 64 bit (AMD64)]', 'CUDA available': True, 'GPU 0': 'NVIDIA GeForce RTX 3060', 'CUDA_HOME': 'C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.2', 'NVCC': 'Not Available', 'MSVC': '用于 x64 的 Microsoft (R) C/C++ 优化编译器 19.37.32822 版', 'GCC': 'n/a', 'PyTorch': '2.3.0+cu118', 'PyTorch compiling details': 'PyTorch built with:\n - C++ Version: 201703\n - MSVC 192930151\n - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v3.3.6 (Git Hash 86e6af5974177e513fd3fee58425e1063e7f1361)\n - OpenMP 2019\n - LAPACK is enabled (usually provided by MKL)\n - CPU capability usage: AVX2\n - CUDA Runtime 11.8\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_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_90,code=sm_90;-gencode;arch=compute_37,code=compute_37\n - CuDNN 8.7\n - Magma 2.5.4\n - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.8, CUDNN_VERSION=8.7.0, CXX_COMPILER=C:/actions-runner/_work/pytorch/pytorch/builder/windows/tmp_bin/sccache-cl.exe, CXX_FLAGS=/DWIN32 /D_WINDOWS /GR /EHsc /Zc:__cplusplus /bigobj /FS /utf-8 -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -DLIBKINETO_NOROCTRACER -DUSE_FBGEMM -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE /wd4624 /wd4068 /wd4067 /wd4267 /wd4661 /wd4717 /wd4244 /wd4804 /wd4273, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=2.3.0, USE_CUDA=ON, USE_CUDNN=ON, 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=OFF, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, \n', 'TorchVision': '0.18.0+cu118', 'OpenCV': '4.9.0', 'MMCV': '1.7.2', 'MMCV Compiler': 'n/a', 'MMCV CUDA Compiler': 'n/a'}
尝试自己编译过，在配置好cl,nvcc的情况下，build_ext仍然报错 且任何调试方法都无法继续定位“系统找不到指定的文件”到底是哪个文件，错误发生在哪一步。 尝试跟踪build_ext只能得到错误发生在Lib\distutils\command\build_ext.py中，这步已经不能调试了。
参见https://github.com/modelscope/facechain/issues/587 阿里的modelscope系列下所有模型均采用mmcv1.7.2，迁移工作量巨大，短时间内难以迁移。 请为torch2.2以上版本继续提供预编译的mmcv1.7.2包，谢谢。
running build_ext error: [WinError 2] 系统找不到指定的文件。
No response
Prerequisite
Environment
{'sys.platform': 'win32', 'Python': '3.10.11 (tags/v3.10.11:7d4cc5a, Apr 5 2023, 00:38:17) [MSC v.1929 64 bit (AMD64)]', 'CUDA available': True, 'GPU 0': 'NVIDIA GeForce RTX 3060', 'CUDA_HOME': 'C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.2', 'NVCC': 'Not Available', 'MSVC': '用于 x64 的 Microsoft (R) C/C++ 优化编译器 19.37.32822 版', 'GCC': 'n/a', 'PyTorch': '2.3.0+cu118', 'PyTorch compiling details': 'PyTorch built with:\n - C++ Version: 201703\n - MSVC 192930151\n - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v3.3.6 (Git Hash 86e6af5974177e513fd3fee58425e1063e7f1361)\n - OpenMP 2019\n - LAPACK is enabled (usually provided by MKL)\n - CPU capability usage: AVX2\n - CUDA Runtime 11.8\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_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_90,code=sm_90;-gencode;arch=compute_37,code=compute_37\n - CuDNN 8.7\n - Magma 2.5.4\n - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.8, CUDNN_VERSION=8.7.0, CXX_COMPILER=C:/actions-runner/_work/pytorch/pytorch/builder/windows/tmp_bin/sccache-cl.exe, CXX_FLAGS=/DWIN32 /D_WINDOWS /GR /EHsc /Zc:__cplusplus /bigobj /FS /utf-8 -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -DLIBKINETO_NOROCTRACER -DUSE_FBGEMM -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE /wd4624 /wd4068 /wd4067 /wd4267 /wd4661 /wd4717 /wd4244 /wd4804 /wd4273, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=2.3.0, USE_CUDA=ON, USE_CUDNN=ON, 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=OFF, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, \n', 'TorchVision': '0.18.0+cu118', 'OpenCV': '4.9.0', 'MMCV': '1.7.2', 'MMCV Compiler': 'n/a', 'MMCV CUDA Compiler': 'n/a'}
Reproduces the problem - code sample
尝试自己编译过，在配置好cl,nvcc的情况下，build_ext仍然报错
且任何调试方法都无法继续定位“系统找不到指定的文件”到底是哪个文件，错误发生在哪一步。
尝试跟踪build_ext只能得到错误发生在Lib\distutils\command\build_ext.py中，这步已经不能调试了。
Reproduces the problem - command or script
参见https://github.com/modelscope/facechain/issues/587 阿里的modelscope系列下所有模型均采用mmcv1.7.2，迁移工作量巨大，短时间内难以迁移。 请为torch2.2以上版本继续提供预编译的mmcv1.7.2包，谢谢。
Reproduces the problem - error message
running build_ext error: [WinError 2] 系统找不到指定的文件。
Additional information
No response