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Thanks for reporting this issue! Unfortunately, we haven't tested the installation on Windows and don't currently have the environment to reproduce the error.
Is there an existing issue for this?
Have you followed all the steps in the FAQ?
Current Behavior
I clone the repo and try to pip install . but what ever I have done, it always shows the error.
I have tried:
downgrade the cuda to 10.2
downgrade the pytorch
recreate a new conda env
Error Line
ERROR: Command errored out with exit status 1: 'C:\ProgramData\Anaconda3\envs\temp\python.exe' -u -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '"'"'C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\setup.py'"'"'; file='"'"'C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\setup.py'"'"';f = getattr(tokenize, '"'"'open'"'"', open)(file) if os.path.exists(file) else io.StringIO('"'"'from setuptools import setup; setup()'"'"');code = f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, file, '"'"'exec'"'"'))' install --record 'C:\Users\Stars\AppData\Local\Temp\pip-record-3dwx5o95\install-record.txt' --single-version-externally-managed --compile --install-headers 'C:\ProgramData\Anaconda3\envs\temp\Include\torchsparse' Check the logs for full command output.
Environment
Full Error Log
DEPRECATION: A future pip version will change local packages to be built in-place without first copying to a temporary directory. We recommend you use --use-feature=in-tree-build to test your packages with this new behavior before it becomes the default.
pip 21.3 will remove support for this functionality. You can find discussion regarding this at pypa/pip#7555.
Building wheels for collected packages: torchsparse
Building wheel for torchsparse (setup.py) ... error
ERROR: Command errored out with exit status 1:
command: 'C:\ProgramData\Anaconda3\envs\temp\python.exe' -u -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '"'"'C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\setup.py'"'"'; file='"'"'C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\setup.py'"'"';f = getattr(tokenize, '"'"'open'"'"', open)(file) if os.path.exists(file) else io.StringIO('"'"'from setuptools import setup; setup()'"'"');code = f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, file, '"'"'exec'"'"'))' bdist_wheel -d 'C:\Users\Stars\AppData\Local\Temp\pip-wheel-v85937gi'
cwd: C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q
Complete output (60 lines):
running bdist_wheel
running build
running build_py
creating build
creating build\lib.win-amd64-3.7
creating build\lib.win-amd64-3.7\torchsparse
copying torchsparse\operators.py -> build\lib.win-amd64-3.7\torchsparse
copying torchsparse\tensor.py -> build\lib.win-amd64-3.7\torchsparse
copying torchsparse\version.py -> build\lib.win-amd64-3.7\torchsparse
copying torchsparse_init_.py -> build\lib.win-amd64-3.7\torchsparse
creating build\lib.win-amd64-3.7\torchsparse\nn
copying torchsparse\nn_init_.py -> build\lib.win-amd64-3.7\torchsparse\nn
creating build\lib.win-amd64-3.7\torchsparse\utils
copying torchsparse\utils\collate.py -> build\lib.win-amd64-3.7\torchsparse\utils
copying torchsparse\utils\quantize.py -> build\lib.win-amd64-3.7\torchsparse\utils
copying torchsparse\utils\utils.py -> build\lib.win-amd64-3.7\torchsparse\utils
copying torchsparse\utils_init_.py -> build\lib.win-amd64-3.7\torchsparse\utils
creating build\lib.win-amd64-3.7\torchsparse\nn\functional
copying torchsparse\nn\functional\activation.py -> build\lib.win-amd64-3.7\torchsparse\nn\functional
copying torchsparse\nn\functional\conv.py -> build\lib.win-amd64-3.7\torchsparse\nn\functional
copying torchsparse\nn\functional\count.py -> build\lib.win-amd64-3.7\torchsparse\nn\functional
copying torchsparse\nn\functional\crop.py -> build\lib.win-amd64-3.7\torchsparse\nn\functional
copying torchsparse\nn\functional\devoxelize.py -> build\lib.win-amd64-3.7\torchsparse\nn\functional
copying torchsparse\nn\functional\downsample.py -> build\lib.win-amd64-3.7\torchsparse\nn\functional
copying torchsparse\nn\functional\hash.py -> build\lib.win-amd64-3.7\torchsparse\nn\functional
copying torchsparse\nn\functional\pooling.py -> build\lib.win-amd64-3.7\torchsparse\nn\functional
copying torchsparse\nn\functional\query.py -> build\lib.win-amd64-3.7\torchsparse\nn\functional
copying torchsparse\nn\functional\voxelize.py -> build\lib.win-amd64-3.7\torchsparse\nn\functional
copying torchsparse\nn\functional_init_.py -> build\lib.win-amd64-3.7\torchsparse\nn\functional
creating build\lib.win-amd64-3.7\torchsparse\nn\modules
copying torchsparse\nn\modules\activation.py -> build\lib.win-amd64-3.7\torchsparse\nn\modules
copying torchsparse\nn\modules\bev.py -> build\lib.win-amd64-3.7\torchsparse\nn\modules
copying torchsparse\nn\modules\conv.py -> build\lib.win-amd64-3.7\torchsparse\nn\modules
copying torchsparse\nn\modules\crop.py -> build\lib.win-amd64-3.7\torchsparse\nn\modules
copying torchsparse\nn\modules\norm.py -> build\lib.win-amd64-3.7\torchsparse\nn\modules
copying torchsparse\nn\modules\pooling.py -> build\lib.win-amd64-3.7\torchsparse\nn\modules
copying torchsparse\nn\modules_init_.py -> build\lib.win-amd64-3.7\torchsparse\nn\modules
creating build\lib.win-amd64-3.7\torchsparse\nn\utils
copying torchsparse\nn\utils\apply.py -> build\lib.win-amd64-3.7\torchsparse\nn\utils
copying torchsparse\nn\utils\kernel.py -> build\lib.win-amd64-3.7\torchsparse\nn\utils
copying torchsparse\nn\utils_init_.py -> build\lib.win-amd64-3.7\torchsparse\nn\utils
running build_ext
building 'torchsparse.backend' extension
creating C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7
creating C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release
creating C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse
creating C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse\backend
creating C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse\backend\convolution
creating C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse\backend\devoxelize
creating C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse\backend\hash
creating C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse\backend\hashmap
creating C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse\backend\others
creating C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse\backend\voxelize
Emitting ninja build file C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\build.ninja...
Compiling objects...
Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)
1.10.2
C:\Program Files (x86)\Microsoft Visual Studio\2019\Professional\VC\Tools\MSVC\14.29.30133\bin\HostX86\x64\link.exe /nologo /INCREMENTAL:NO /LTCG /DLL /MANIFEST:EMBED,ID=2 /MANIFESTUAC:NO /LIBPATH:C:\ProgramData\Anaconda3\envs\temp\lib\site-packages\torch\lib "/LIBPATH:C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.3\lib/x64" /LIBPATH:C:\ProgramData\Anaconda3\envs\temp\libs /LIBPATH:C:\ProgramData\Anaconda3\envs\temp\PCbuild\amd64 "/LIBPATH:C:\Program Files (x86)\Microsoft Visual Studio\2019\Professional\VC\Tools\MSVC\14.29.30133\ATLMFC\lib\x64" "/LIBPATH:C:\Program Files (x86)\Microsoft Visual Studio\2019\Professional\VC\Tools\MSVC\14.29.30133\lib\x64" "/LIBPATH:C:\Program Files (x86)\Windows Kits\NETFXSDK\4.8\lib\um\x64" "/LIBPATH:C:\Program Files (x86)\Windows Kits\10\lib\10.0.19041.0\ucrt\x64" "/LIBPATH:C:\Program Files (x86)\Windows Kits\10\lib\10.0.19041.0\um\x64" c10.lib torch.lib torch_cpu.lib torch_python.lib cudart.lib c10_cuda.lib torch_cuda_cu.lib torch_cuda_cpp.lib /EXPORT:PyInit_backend C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse\backend\pybind_cuda.obj C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse\backend\convolution\convolution_cpu.obj C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse\backend\convolution\convolution_cuda.obj C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse\backend\devoxelize\devoxelize_cpu.obj C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse\backend\devoxelize\devoxelize_cuda.obj C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse\backend\hash\hash_cpu.obj C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse\backend\hash\hash_cuda.obj C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse\backend\hashmap\hashmap_cpu.obj C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse\backend\hashmap\hashmap_cuda.obj C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse\backend\others\count_cpu.obj C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse\backend\others\count_cuda.obj C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse\backend\others\query_cpu.obj C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse\backend\others\query_cuda.obj C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse\backend\voxelize\voxelize_cpu.obj C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse\backend\voxelize\voxelize_cuda.obj /OUT:build\lib.win-amd64-3.7\torchsparse\backend.cp37-win_amd64.pyd /IMPLIB:C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse\backend\backend.cp37-win_amd64.lib
LINK : fatal error LNK1181: cannot open input file 'C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse\backend\pybind_cuda.obj'
error: command 'C:\Program Files (x86)\Microsoft Visual Studio\2019\Professional\VC\Tools\MSVC\14.29.30133\bin\HostX86\x64\link.exe' failed with exit status 1181
ERROR: Failed building wheel for torchsparse
Running setup.py clean for torchsparse
Failed to build torchsparse
Installing collected packages: torchsparse
Running setup.py install for torchsparse ... error
ERROR: Command errored out with exit status 1:
command: 'C:\ProgramData\Anaconda3\envs\temp\python.exe' -u -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '"'"'C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\setup.py'"'"'; file='"'"'C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\setup.py'"'"';f = getattr(tokenize, '"'"'open'"'"', open)(file) if os.path.exists(file) else io.StringIO('"'"'from setuptools import setup; setup()'"'"');code = f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, file, '"'"'exec'"'"'))' install --record 'C:\Users\Stars\AppData\Local\Temp\pip-record-3dwx5o95\install-record.txt' --single-version-externally-managed --compile --install-headers 'C:\ProgramData\Anaconda3\envs\temp\Include\torchsparse'
cwd: C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q
Complete output (60 lines):
running install
running build
running build_py
creating build
creating build\lib.win-amd64-3.7
creating build\lib.win-amd64-3.7\torchsparse
copying torchsparse\operators.py -> build\lib.win-amd64-3.7\torchsparse
copying torchsparse\tensor.py -> build\lib.win-amd64-3.7\torchsparse
copying torchsparse\version.py -> build\lib.win-amd64-3.7\torchsparse
copying torchsparse_init_.py -> build\lib.win-amd64-3.7\torchsparse
creating build\lib.win-amd64-3.7\torchsparse\nn
copying torchsparse\nn_init_.py -> build\lib.win-amd64-3.7\torchsparse\nn
creating build\lib.win-amd64-3.7\torchsparse\utils
copying torchsparse\utils\collate.py -> build\lib.win-amd64-3.7\torchsparse\utils
copying torchsparse\utils\quantize.py -> build\lib.win-amd64-3.7\torchsparse\utils
copying torchsparse\utils\utils.py -> build\lib.win-amd64-3.7\torchsparse\utils
copying torchsparse\utils_init_.py -> build\lib.win-amd64-3.7\torchsparse\utils
creating build\lib.win-amd64-3.7\torchsparse\nn\functional
copying torchsparse\nn\functional\activation.py -> build\lib.win-amd64-3.7\torchsparse\nn\functional
copying torchsparse\nn\functional\conv.py -> build\lib.win-amd64-3.7\torchsparse\nn\functional
copying torchsparse\nn\functional\count.py -> build\lib.win-amd64-3.7\torchsparse\nn\functional
copying torchsparse\nn\functional\crop.py -> build\lib.win-amd64-3.7\torchsparse\nn\functional
copying torchsparse\nn\functional\devoxelize.py -> build\lib.win-amd64-3.7\torchsparse\nn\functional
copying torchsparse\nn\functional\downsample.py -> build\lib.win-amd64-3.7\torchsparse\nn\functional
copying torchsparse\nn\functional\hash.py -> build\lib.win-amd64-3.7\torchsparse\nn\functional
copying torchsparse\nn\functional\pooling.py -> build\lib.win-amd64-3.7\torchsparse\nn\functional
copying torchsparse\nn\functional\query.py -> build\lib.win-amd64-3.7\torchsparse\nn\functional
copying torchsparse\nn\functional\voxelize.py -> build\lib.win-amd64-3.7\torchsparse\nn\functional
copying torchsparse\nn\functional_init_.py -> build\lib.win-amd64-3.7\torchsparse\nn\functional
creating build\lib.win-amd64-3.7\torchsparse\nn\modules
copying torchsparse\nn\modules\activation.py -> build\lib.win-amd64-3.7\torchsparse\nn\modules
copying torchsparse\nn\modules\bev.py -> build\lib.win-amd64-3.7\torchsparse\nn\modules
copying torchsparse\nn\modules\conv.py -> build\lib.win-amd64-3.7\torchsparse\nn\modules
copying torchsparse\nn\modules\crop.py -> build\lib.win-amd64-3.7\torchsparse\nn\modules
copying torchsparse\nn\modules\norm.py -> build\lib.win-amd64-3.7\torchsparse\nn\modules
copying torchsparse\nn\modules\pooling.py -> build\lib.win-amd64-3.7\torchsparse\nn\modules
copying torchsparse\nn\modules_init_.py -> build\lib.win-amd64-3.7\torchsparse\nn\modules
creating build\lib.win-amd64-3.7\torchsparse\nn\utils
copying torchsparse\nn\utils\apply.py -> build\lib.win-amd64-3.7\torchsparse\nn\utils
copying torchsparse\nn\utils\kernel.py -> build\lib.win-amd64-3.7\torchsparse\nn\utils
copying torchsparse\nn\utils_init_.py -> build\lib.win-amd64-3.7\torchsparse\nn\utils
running build_ext
building 'torchsparse.backend' extension
creating C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7
creating C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release
creating C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse
creating C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse\backend
creating C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse\backend\convolution
creating C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse\backend\devoxelize
creating C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse\backend\hash
creating C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse\backend\hashmap
creating C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse\backend\others
creating C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse\backend\voxelize
Emitting ninja build file C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\build.ninja...
Compiling objects...
Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)
1.10.2
C:\Program Files (x86)\Microsoft Visual Studio\2019\Professional\VC\Tools\MSVC\14.29.30133\bin\HostX86\x64\link.exe /nologo /INCREMENTAL:NO /LTCG /DLL /MANIFEST:EMBED,ID=2 /MANIFESTUAC:NO /LIBPATH:C:\ProgramData\Anaconda3\envs\temp\lib\site-packages\torch\lib "/LIBPATH:C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.3\lib/x64" /LIBPATH:C:\ProgramData\Anaconda3\envs\temp\libs /LIBPATH:C:\ProgramData\Anaconda3\envs\temp\PCbuild\amd64 "/LIBPATH:C:\Program Files (x86)\Microsoft Visual Studio\2019\Professional\VC\Tools\MSVC\14.29.30133\ATLMFC\lib\x64" "/LIBPATH:C:\Program Files (x86)\Microsoft Visual Studio\2019\Professional\VC\Tools\MSVC\14.29.30133\lib\x64" "/LIBPATH:C:\Program Files (x86)\Windows Kits\NETFXSDK\4.8\lib\um\x64" "/LIBPATH:C:\Program Files (x86)\Windows Kits\10\lib\10.0.19041.0\ucrt\x64" "/LIBPATH:C:\Program Files (x86)\Windows Kits\10\lib\10.0.19041.0\um\x64" c10.lib torch.lib torch_cpu.lib torch_python.lib cudart.lib c10_cuda.lib torch_cuda_cu.lib torch_cuda_cpp.lib /EXPORT:PyInit_backend C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse\backend\pybind_cuda.obj C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse\backend\convolution\convolution_cpu.obj C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse\backend\convolution\convolution_cuda.obj C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse\backend\devoxelize\devoxelize_cpu.obj C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse\backend\devoxelize\devoxelize_cuda.obj C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse\backend\hash\hash_cpu.obj C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse\backend\hash\hash_cuda.obj C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse\backend\hashmap\hashmap_cpu.obj C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse\backend\hashmap\hashmap_cuda.obj C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse\backend\others\count_cpu.obj C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse\backend\others\count_cuda.obj C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse\backend\others\query_cpu.obj C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse\backend\others\query_cuda.obj C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse\backend\voxelize\voxelize_cpu.obj C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse\backend\voxelize\voxelize_cuda.obj /OUT:build\lib.win-amd64-3.7\torchsparse\backend.cp37-win_amd64.pyd /IMPLIB:C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse\backend\backend.cp37-win_amd64.lib
LINK : fatal error LNK1181: cannot open input file 'C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\build\temp.win-amd64-3.7\Release\torchsparse\backend\pybind_cuda.obj'
error: command 'C:\Program Files (x86)\Microsoft Visual Studio\2019\Professional\VC\Tools\MSVC\14.29.30133\bin\HostX86\x64\link.exe' failed with exit status 1181
----------------------------------------
ERROR: Command errored out with exit status 1: 'C:\ProgramData\Anaconda3\envs\temp\python.exe' -u -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '"'"'C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\setup.py'"'"'; file='"'"'C:\Users\Stars\AppData\Local\Temp\pip-req-build-yc1iu00q\setup.py'"'"';f = getattr(tokenize, '"'"'open'"'"', open)(file) if os.path.exists(file) else io.StringIO('"'"'from setuptools import setup; setup()'"'"');code = f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, file, '"'"'exec'"'"'))' install --record 'C:\Users\Stars\AppData\Local\Temp\pip-record-3dwx5o95\install-record.txt' --single-version-externally-managed --compile --install-headers 'C:\ProgramData\Anaconda3\envs\temp\Include\torchsparse' Check the logs for full command output._
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