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ashawkey / RAD-NeRF

Real-time Neural Radiance Talking Portrait Synthesis via Audio-spatial Decomposition
MIT License
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训练时报错 #51

Open sunmingyang666 opened 1 year ago

sunmingyang666 commented 1 year ago

(Radnerf) D:\RAD-NeRF>python main.py data/obama/ --workspace trial_obama/ -O --iters 200000 Traceback (most recent call last): File "D:\RAD-NeRF\raymarching\raymarching.py", line 10, in import _raymarching_face as _backend ModuleNotFoundError: No module named '_raymarching_face'

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "D:\LeStoreDownload\anaconda\envs\Radnerf\lib\site-packages\torch\utils\cpp_extension.py", line 1808, in _run_ninja_build subprocess.run( File "D:\LeStoreDownload\anaconda\envs\Radnerf\lib\subprocess.py", line 528, in run raise CalledProcessError(retcode, process.args, subprocess.CalledProcessError: Command '['ninja', '-v']' returned non-zero exit status 1.

The above exception was the direct cause of the following exception:

Traceback (most recent call last): File "D:\RAD-NeRF\main.py", line 131, in from nerf.network import NeRFNetwork File "D:\RAD-NeRF\nerf\network.py", line 7, in from .renderer import NeRFRenderer File "D:\RAD-NeRF\nerf\renderer.py", line 10, in import raymarching File "D:\RAD-NeRF\raymarching__init.py", line 1, in from .raymarching import * File "D:\RAD-NeRF\raymarching\raymarching.py", line 12, in from .backend import _backend File "D:\RAD-NeRF\raymarching\backend.py", line 31, in _backend = load(name='_raymarching_face', File "D:\LeStoreDownload\anaconda\envs\Radnerf\lib\site-packages\torch\utils\cpp_extension.py", line 1202, in load return _jit_compile( File "D:\LeStoreDownload\anaconda\envs\Radnerf\lib\site-packages\torch\utils\cpp_extension.py", line 1425, in _jit_compile _write_ninja_file_and_build_library( File "D:\LeStoreDownload\anaconda\envs\Radnerf\lib\site-packages\torch\utils\cpp_extension.py", line 1537, in _write_ninja_file_and_build_library _run_ninja_build( File "D:\LeStoreDownload\anaconda\envs\Radnerf\lib\site-packages\torch\utils\cpp_extension.py", line 1824, in _run_ninja_build raise RuntimeError(message) from e RuntimeError: Error building extension '_raymarching_face': [1/2] C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\bin\nvcc --generate-dependencies-with-compile --dependency-output raymarching.cuda.o.d -Xcudafe --diag_suppress=dll_interface_conflict_dllexport_assumed -Xcudafe --diag_suppress=dll_interface_conflict_none_assumed -Xcudafe --diag_suppress=field_without_dll_interface -Xcudafe --diag_suppress=base_class_has_different_dll_interface -Xcompiler /EHsc -Xcompiler /wd4190 -Xcompiler /wd4018 -Xcompiler /wd4275 -Xcompiler /wd4267 -Xcompiler /wd4244 -Xcompiler /wd4251 -Xcompiler /wd4819 -Xcompiler /MD -DTORCH_EXTENSION_NAME=_raymarching_face -DTORCH_API_INCLUDE_EXTENSION_H -ID:\LeStoreDownload\anaconda\envs\Radnerf\lib\site-packages\torch\include -ID:\LeStoreDownload\anaconda\envs\Radnerf\lib\site-packages\torch\include\torch\csrc\api\include -ID:\LeStoreDownload\anaconda\envs\Radnerf\lib\site-packages\torch\include\TH -ID:\LeStoreDownload\anaconda\envs\Radnerf\lib\site-packages\torch\include\THC "-IC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\include" -ID:\LeStoreDownload\anaconda\envs\Radnerf\Include -D_GLIBCXX_USE_CXX11_ABI=0 -DCUDA_NO_HALF_OPERATORS -DCUDA_NO_HALF_CONVERSIONS -DCUDA_NO_BFLOAT16_CONVERSIONS -DCUDA_NO_HALF2_OPERATORS --expt-relaxed-constexpr -gencode=arch=compute_86,code=compute_86 -gencode=arch=compute_86,code=sm_86 -O3 -std=c++14 -UCUDA_NO_HALF_OPERATORS -UCUDA_NO_HALF_CONVERSIONS -UCUDA_NO_HALF2_OPERATORS -c D:\RAD-NeRF\raymarching\src\raymarching.cu -o raymarching.cuda.o FAILED: raymarching.cuda.o C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\bin\nvcc --generate-dependencies-with-compile --dependency-output raymarching.cuda.o.d -Xcudafe --diag_suppress=dll_interface_conflict_dllexport_assumed -Xcudafe --diag_suppress=dll_interface_conflict_none_assumed -Xcudafe --diag_suppress=field_without_dll_interface -Xcudafe --diag_suppress=base_class_has_different_dll_interface -Xcompiler /EHsc -Xcompiler /wd4190 -Xcompiler /wd4018 -Xcompiler /wd4275 -Xcompiler /wd4267 -Xcompiler /wd4244 -Xcompiler /wd4251 -Xcompiler /wd4819 -Xcompiler /MD -DTORCH_EXTENSION_NAME=_raymarching_face -DTORCH_API_INCLUDE_EXTENSION_H -ID:\LeStoreDownload\anaconda\envs\Radnerf\lib\site-packages\torch\include -ID:\LeStoreDownload\anaconda\envs\Radnerf\lib\site-packages\torch\include\torch\csrc\api\include -ID:\LeStoreDownload\anaconda\envs\Radnerf\lib\site-packages\torch\include\TH -ID:\LeStoreDownload\anaconda\envs\Radnerf\lib\site-packages\torch\include\THC "-IC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\include" -ID:\LeStoreDownload\anaconda\envs\Radnerf\Include -D_GLIBCXX_USE_CXX11_ABI=0 -DCUDA_NO_HALF_OPERATORS -DCUDA_NO_HALF_CONVERSIONS -DCUDA_NO_BFLOAT16_CONVERSIONS -DCUDA_NO_HALF2_OPERATORS --expt-relaxed-constexpr -gencode=arch=compute_86,code=compute_86 -gencode=arch=compute_86,code=sm_86 -O3 -std=c++14 -UCUDA_NO_HALF_OPERATORS -UCUDA_NO_HALF_CONVERSIONS -UCUDA_NO_HALF2_OPERATORS -c D:\RAD-NeRF\raymarching\src\raymarching.cu -o raymarching.cuda.o cl: 命令行 warning D9025 :正在重写“/DCUDA_NO_HALF_OPERATORS”(用“/UCUDA_NO_HALF_OPERATORS”) cl: 命令行 warning D9025 :正在重写“/DCUDA_NO_HALF_CONVERSIONS”(用“/UCUDA_NO_HALF_CONVERSIONS”) cl: 命令行 warning D9025 :正在重写“/DCUDA_NO_HALF2_OPERATORS”(用“/UCUDA_NO_HALF2_OPERATORS”) raymarching.cu D:/LeStoreDownload/anaconda/envs/Radnerf/lib/site-packages/torch/include\c10/macros/Macros.h(143): warning C4067: 预处理器指令后有意外标记 - 应输入换行符 cl: 命令行 warning D9025 :正在重写“/DCUDA_NO_HALF_OPERATORS”(用“/UCUDA_NO_HALF_OPERATORS”) cl: 命令行 warning D9025 :正在重写“/DCUDA_NO_HALF_CONVERSIONS”(用“/UCUDA_NO_HALF_CONVERSIONS”) cl: 命令行 warning D9025 :正在重写“/DCUDA_NO_HALF2_OPERATORS”(用“/UCUDA_NO_HALF2_OPERATORS__”) raymarching.cu D:/LeStoreDownload/anaconda/envs/Radnerf/lib/site-packages/torch/include\c10/macros/Macros.h(143): warning C4067: 预处理器指令后有意外标记 - 应输入换行符 D:/LeStoreDownload/anaconda/envs/Radnerf/lib/site-packages/torch/include\c10/core/SymInt.h(84): warning #68-D: integer conversion resulted in a change of sign

D:\LeStoreDownload\anaconda\envs\Radnerf\lib\site-packages\torch\include\pybind11\cast.h(1429): error: too few arguments for template template parameter "Tuple" detected during instantiation of class "pybind11::detail::tuple_caster<Tuple, Ts...> [with Tuple=std::pair, Ts=<T1, T2>]" (1507): here

D:\LeStoreDownload\anaconda\envs\Radnerf\lib\site-packages\torch\include\pybind11\cast.h(1503): error: too few arguments for template template parameter "Tuple" detected during instantiation of class "pybind11::detail::tuple_caster<Tuple, Ts...> [with Tuple=std::pair, Ts=<T1, T2>]" (1507): here

D:\RAD-NeRF\raymarching\src\raymarching.cu(181): warning #177-D: variable "rdx" was declared but never referenced detected during instantiation of "void kernel_sph_from_ray(const scalar_t , const scalar_t , float, uint32_t, scalar_t *) [with scalar_t=double]" (205): here

D:\RAD-NeRF\raymarching\src\raymarching.cu(181): warning #177-D: variable "rdy" was declared but never referenced detected during instantiation of "void kernel_sph_from_ray(const scalar_t , const scalar_t , float, uint32_t, scalar_t *) [with scalar_t=double]" (205): here

D:\RAD-NeRF\raymarching\src\raymarching.cu(181): warning #177-D: variable "rdz" was declared but never referenced detected during instantiation of "void kernel_sph_from_ray(const scalar_t , const scalar_t , float, uint32_t, scalar_t *) [with scalar_t=double]" (205): here

D:\RAD-NeRF\raymarching\src\raymarching.cu(181): warning #177-D: variable "rdx" was declared but never referenced detected during instantiation of "void kernel_sph_from_ray(const scalar_t , const scalar_t , float, uint32_t, scalar_t *) [with scalar_t=float]" (205): here

D:\RAD-NeRF\raymarching\src\raymarching.cu(181): warning #177-D: variable "rdy" was declared but never referenced detected during instantiation of "void kernel_sph_from_ray(const scalar_t , const scalar_t , float, uint32_t, scalar_t *) [with scalar_t=float]" (205): here

D:\RAD-NeRF\raymarching\src\raymarching.cu(181): warning #177-D: variable "rdz" was declared but never referenced detected during instantiation of "void kernel_sph_from_ray(const scalar_t , const scalar_t , float, uint32_t, scalar_t *) [with scalar_t=float]" (205): here

D:\RAD-NeRF\raymarching\src\raymarching.cu(181): warning #177-D: variable "rdx" was declared but never referenced detected during instantiation of "void kernel_sph_from_ray(const scalar_t , const scalar_t , float, uint32_t, scalar_t *) [with scalar_t=c10::Half]" (205): here

D:\RAD-NeRF\raymarching\src\raymarching.cu(181): warning #177-D: variable "rdy" was declared but never referenced detected during instantiation of "void kernel_sph_from_ray(const scalar_t , const scalar_t , float, uint32_t, scalar_t *) [with scalar_t=c10::Half]" (205): here

D:\RAD-NeRF\raymarching\src\raymarching.cu(181): warning #177-D: variable "rdz" was declared but never referenced detected during instantiation of "void kernel_sph_from_ray(const scalar_t , const scalar_t , float, uint32_t, scalar_t *) [with scalar_t=c10::Half]" (205): here

D:\RAD-NeRF\raymarching\src\raymarching.cu(553): warning #177-D: variable "index" was declared but never referenced detected during instantiation of "void kernel_march_rays_train_backward(const scalar_t , const scalar_t , const int , const scalar_t , uint32_t, uint32_t, scalar_t , scalar_t ) [with scalar_t=double]" (589): here

D:\RAD-NeRF\raymarching\src\raymarching.cu(553): warning #177-D: variable "index" was declared but never referenced detected during instantiation of "void kernel_march_rays_train_backward(const scalar_t , const scalar_t , const int , const scalar_t , uint32_t, uint32_t, scalar_t , scalar_t ) [with scalar_t=float]" (589): here

D:\RAD-NeRF\raymarching\src\raymarching.cu(553): warning #177-D: variable "index" was declared but never referenced detected during instantiation of "void kernel_march_rays_train_backward(const scalar_t , const scalar_t , const int , const scalar_t , uint32_t, uint32_t, scalar_t , scalar_t ) [with scalar_t=c10::Half]" (589): here

D:\RAD-NeRF\raymarching\src\raymarching.cu(864): warning #177-D: variable "near" was declared but never referenced detected during instantiation of "void kernel_march_rays(uint32_t, uint32_t, const int , const scalar_t , const scalar_t , const scalar_t , float, float, uint32_t, uint32_t, uint32_t, const uint8_t , const scalar_t , const scalar_t , scalar_t , scalar_t , scalar_t , const scalar_t *) [with scalar_t=double]" (935): here

D:\RAD-NeRF\raymarching\src\raymarching.cu(864): warning #177-D: variable "near" was declared but never referenced detected during instantiation of "void kernel_march_rays(uint32_t, uint32_t, const int , const scalar_t , const scalar_t , const scalar_t , float, float, uint32_t, uint32_t, uint32_t, const uint8_t , const scalar_t , const scalar_t , scalar_t , scalar_t , scalar_t , const scalar_t *) [with scalar_t=float]" (935): here

2 errors detected in the compilation of "D:/RAD-NeRF/raymarching/src/raymarching.cu". raymarching.cu ninja: build stopped: subcommand failed.

davidspicy commented 1 year ago

try bash ./RAD-NeRF/scripts/install_ext.sh

sunmingyang666 commented 1 year ago

try bash ./RAD-NeRF/scripts/install_ext.sh ERROR: Invalid requirement: './freqencoder' ERROR: Invalid requirement: './shencoder' ERROR: Invalid requirement: './gridencoder' ERROR: Invalid requirement: './raymarching' so I have to restart?

davidspicy commented 1 year ago

getting a working notebook together today will update here. I would start from the beginning again though.

sunmingyang666 commented 1 year ago

getting a working notebook together today will update here. I would start from the beginning again though.

`(Radnerf) D:\github\RAD-NeRF>bash scripts/install_ext.sh Processing d:\github\rad-nerf\freqencoder Preparing metadata (setup.py) ... done Building wheels for collected packages: freqencoder Building wheel for freqencoder (setup.py) ... error error: subprocess-exited-with-error

× python setup.py bdist_wheel did not run successfully. │ exit code: 1 ╰─> [13 lines of output] running bdist_wheel running build running build_ext D:\LeStoreDownload\anaconda\envs\Radnerf\lib\site-packages\torch\utils\cpp_extension.py:813: UserWarning: The detected CUDA version (11.6) has a minor version mismatch with the version that was used to compile PyTorch (11.3). Most likely this shouldn't be a problem. warnings.warn(CUDA_MISMATCH_WARN.format(cuda_str_version, torch.version.cuda)) building '_freqencoder' extension Emitting ninja build file D:\github\RAD-NeRF\freqencoder\build\temp.win-amd64-cpython-39\Release\build.ninja... Compiling objects... Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N) 1.11.1.git.kitware.jobserver-1 "C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.29.30133\bin\HostX86\x64\link.exe" /nologo /INCREMENTAL:NO /LTCG /DLL /MANIFEST:EMBED,ID=2 /MANIFESTUAC:NO /LIBPATH:D:\LeStoreDownload\anaconda\envs\Radnerf\lib\site-packages\torch\lib "/LIBPATH:C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\lib/x64" /LIBPATH:D:\LeStoreDownload\anaconda\envs\Radnerf\libs /LIBPATH:D:\LeStoreDownload\anaconda\envs\Radnerf /LIBPATH:D:\LeStoreDownload\anaconda\envs\Radnerf\PCbuild\amd64 "/LIBPATH:C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.29.30133\ATLMFC\lib\x64" "/LIBPATH:C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\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__freqencoder D:\github\RAD-NeRF\freqencoder\build\temp.win-amd64-cpython-39\Release\github\RAD-NeRF\freqencoder\src\bindings.obj D:\github\RAD-NeRF\freqencoder\build\temp.win-amd64-cpython-39\Release\github\RAD-NeRF\freqencoder\src\freqencoder.obj /OUT:build\lib.win-amd64-cpython-39_freqencoder.cp39-win_amd64.pyd /IMPLIB:D:\github\RAD-NeRF\freqencoder\build\temp.win-amd64-cpython-39\Release\github\RAD-NeRF\freqencoder\src_freqencoder.cp39-win_amd64.lib LINK : fatal error LNK1181: 无法打开输入文件“D:\github\RAD-NeRF\freqencoder\build\temp.win-amd64-cpython-39\Release\github\RAD-NeRF\freqencoder\src\bindings.obj” error: command 'C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.29.30133\bin\HostX86\x64\link.exe' failed with exit code 1181 [end of output]

note: This error originates from a subprocess, and is likely not a problem with pip. ERROR: Failed building wheel for freqencoder Running setup.py clean for freqencoder Failed to build freqencoder Installing collected packages: freqencoder Running setup.py install for freqencoder ... error error: subprocess-exited-with-error

× Running setup.py install for freqencoder did not run successfully. │ exit code: 1 ╰─> [34 lines of output] running install D:\LeStoreDownload\anaconda\envs\Radnerf\lib\site-packages\setuptools_distutils\cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated. !!

          ********************************************************************************
          Please avoid running ``setup.py`` directly.
          Instead, use pypa/build, pypa/installer, pypa/build or
          other standards-based tools.

          See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
          ********************************************************************************

  !!
    self.initialize_options()
  running build
  running build_ext
  D:\LeStoreDownload\anaconda\envs\Radnerf\lib\site-packages\torch\utils\cpp_extension.py:813: UserWarning: The detected CUDA version (11.6) has a minor version mismatch with the version that was used to compile PyTorch (11.3). Most likely this shouldn't be a problem.
    warnings.warn(CUDA_MISMATCH_WARN.format(cuda_str_version, torch.version.cuda))
  building '_freqencoder' extension
  creating D:\github\RAD-NeRF\freqencoder\build
  creating D:\github\RAD-NeRF\freqencoder\build\temp.win-amd64-cpython-39
  creating D:\github\RAD-NeRF\freqencoder\build\temp.win-amd64-cpython-39\Release
  creating D:\github\RAD-NeRF\freqencoder\build\temp.win-amd64-cpython-39\Release\github
  creating D:\github\RAD-NeRF\freqencoder\build\temp.win-amd64-cpython-39\Release\github\RAD-NeRF
  creating D:\github\RAD-NeRF\freqencoder\build\temp.win-amd64-cpython-39\Release\github\RAD-NeRF\freqencoder
  creating D:\github\RAD-NeRF\freqencoder\build\temp.win-amd64-cpython-39\Release\github\RAD-NeRF\freqencoder\src
  Emitting ninja build file D:\github\RAD-NeRF\freqencoder\build\temp.win-amd64-cpython-39\Release\build.ninja...
  Compiling objects...
  Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)
  1.11.1.git.kitware.jobserver-1
  creating D:\github\RAD-NeRF\freqencoder\build\lib.win-amd64-cpython-39
  "C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.29.30133\bin\HostX86\x64\link.exe" /nologo /INCREMENTAL:NO /LTCG /DLL /MANIFEST:EMBED,ID=2 /MANIFESTUAC:NO /LIBPATH:D:\LeStoreDownload\anaconda\envs\Radnerf\lib\site-packages\torch\lib "/LIBPATH:C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\lib/x64" /LIBPATH:D:\LeStoreDownload\anaconda\envs\Radnerf\libs /LIBPATH:D:\LeStoreDownload\anaconda\envs\Radnerf /LIBPATH:D:\LeStoreDownload\anaconda\envs\Radnerf\PCbuild\amd64 "/LIBPATH:C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.29.30133\ATLMFC\lib\x64" "/LIBPATH:C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\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__freqencoder D:\github\RAD-NeRF\freqencoder\build\temp.win-amd64-cpython-39\Release\github\RAD-NeRF\freqencoder\src\bindings.obj D:\github\RAD-NeRF\freqencoder\build\temp.win-amd64-cpython-39\Release\github\RAD-NeRF\freqencoder\src\freqencoder.obj /OUT:build\lib.win-amd64-cpython-39\_freqencoder.cp39-win_amd64.pyd /IMPLIB:D:\github\RAD-NeRF\freqencoder\build\temp.win-amd64-cpython-39\Release\github\RAD-NeRF\freqencoder\src\_freqencoder.cp39-win_amd64.lib
  LINK : fatal error LNK1181: 无法打开输入文件“D:\github\RAD-NeRF\freqencoder\build\temp.win-amd64-cpython-39\Release\github\RAD-NeRF\freqencoder\src\bindings.obj”
  error: command 'C:\\Program Files (x86)\\Microsoft Visual Studio\\2019\\Community\\VC\\Tools\\MSVC\\14.29.30133\\bin\\HostX86\\x64\\link.exe' failed with exit code 1181
  [end of output]

note: This error originates from a subprocess, and is likely not a problem with pip. error: legacy-install-failure

× Encountered error while trying to install package. ╰─> freqencoder

note: This is an issue with the package mentioned above, not pip. hint: See above for output from the failure. Processing d:\github\rad-nerf\shencoder Preparing metadata (setup.py) ... done Building wheels for collected packages: shencoder Building wheel for shencoder (setup.py) ... error error: subprocess-exited-with-error

× python setup.py bdist_wheel did not run successfully. │ exit code: 1 ╰─> [13 lines of output] running bdist_wheel running build running build_ext D:\LeStoreDownload\anaconda\envs\Radnerf\lib\site-packages\torch\utils\cpp_extension.py:813: UserWarning: The detected CUDA version (11.6) has a minor version mismatch with the version that was used to compile PyTorch (11.3). Most likely this shouldn't be a problem. warnings.warn(CUDA_MISMATCH_WARN.format(cuda_str_version, torch.version.cuda)) building '_shencoder' extension Emitting ninja build file D:\github\RAD-NeRF\shencoder\build\temp.win-amd64-cpython-39\Release\build.ninja... Compiling objects... Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N) 1.11.1.git.kitware.jobserver-1 "C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.29.30133\bin\HostX86\x64\link.exe" /nologo /INCREMENTAL:NO /LTCG /DLL /MANIFEST:EMBED,ID=2 /MANIFESTUAC:NO /LIBPATH:D:\LeStoreDownload\anaconda\envs\Radnerf\lib\site-packages\torch\lib "/LIBPATH:C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\lib/x64" /LIBPATH:D:\LeStoreDownload\anaconda\envs\Radnerf\libs /LIBPATH:D:\LeStoreDownload\anaconda\envs\Radnerf /LIBPATH:D:\LeStoreDownload\anaconda\envs\Radnerf\PCbuild\amd64 "/LIBPATH:C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.29.30133\ATLMFC\lib\x64" "/LIBPATH:C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\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__shencoder D:\github\RAD-NeRF\shencoder\build\temp.win-amd64-cpython-39\Release\github\RAD-NeRF\shencoder\src\bindings.obj D:\github\RAD-NeRF\shencoder\build\temp.win-amd64-cpython-39\Release\github\RAD-NeRF\shencoder\src\shencoder.obj /OUT:build\lib.win-amd64-cpython-39_shencoder.cp39-win_amd64.pyd /IMPLIB:D:\github\RAD-NeRF\shencoder\build\temp.win-amd64-cpython-39\Release\github\RAD-NeRF\shencoder\src_shencoder.cp39-win_amd64.lib LINK : fatal error LNK1181: 无法打开输入文件“D:\github\RAD-NeRF\shencoder\build\temp.win-amd64-cpython-39\Release\github\RAD-NeRF\shencoder\src\bindings.obj” error: command 'C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.29.30133\bin\HostX86\x64\link.exe' failed with exit code 1181 [end of output]

note: This error originates from a subprocess, and is likely not a problem with pip. ERROR: Failed building wheel for shencoder Running setup.py clean for shencoder Failed to build shencoder Installing collected packages: shencoder Running setup.py install for shencoder ... error error: subprocess-exited-with-error

× Running setup.py install for shencoder did not run successfully. │ exit code: 1 ╰─> [34 lines of output] running install D:\LeStoreDownload\anaconda\envs\Radnerf\lib\site-packages\setuptools_distutils\cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated. !!

          ********************************************************************************
          Please avoid running ``setup.py`` directly.
          Instead, use pypa/build, pypa/installer, pypa/build or
          other standards-based tools.

          See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
          ********************************************************************************

  !!
    self.initialize_options()
  running build
  running build_ext
  D:\LeStoreDownload\anaconda\envs\Radnerf\lib\site-packages\torch\utils\cpp_extension.py:813: UserWarning: The detected CUDA version (11.6) has a minor version mismatch with the version that was used to compile PyTorch (11.3). Most likely this shouldn't be a problem.
    warnings.warn(CUDA_MISMATCH_WARN.format(cuda_str_version, torch.version.cuda))
  building '_shencoder' extension
  creating D:\github\RAD-NeRF\shencoder\build
  creating D:\github\RAD-NeRF\shencoder\build\temp.win-amd64-cpython-39
  creating D:\github\RAD-NeRF\shencoder\build\temp.win-amd64-cpython-39\Release
  creating D:\github\RAD-NeRF\shencoder\build\temp.win-amd64-cpython-39\Release\github
  creating D:\github\RAD-NeRF\shencoder\build\temp.win-amd64-cpython-39\Release\github\RAD-NeRF
  creating D:\github\RAD-NeRF\shencoder\build\temp.win-amd64-cpython-39\Release\github\RAD-NeRF\shencoder
  creating D:\github\RAD-NeRF\shencoder\build\temp.win-amd64-cpython-39\Release\github\RAD-NeRF\shencoder\src
  Emitting ninja build file D:\github\RAD-NeRF\shencoder\build\temp.win-amd64-cpython-39\Release\build.ninja...
  Compiling objects...
  Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)
  1.11.1.git.kitware.jobserver-1
  creating D:\github\RAD-NeRF\shencoder\build\lib.win-amd64-cpython-39
  "C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.29.30133\bin\HostX86\x64\link.exe" /nologo /INCREMENTAL:NO /LTCG /DLL /MANIFEST:EMBED,ID=2 /MANIFESTUAC:NO /LIBPATH:D:\LeStoreDownload\anaconda\envs\Radnerf\lib\site-packages\torch\lib "/LIBPATH:C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\lib/x64" /LIBPATH:D:\LeStoreDownload\anaconda\envs\Radnerf\libs /LIBPATH:D:\LeStoreDownload\anaconda\envs\Radnerf /LIBPATH:D:\LeStoreDownload\anaconda\envs\Radnerf\PCbuild\amd64 "/LIBPATH:C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.29.30133\ATLMFC\lib\x64" "/LIBPATH:C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\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__shencoder D:\github\RAD-NeRF\shencoder\build\temp.win-amd64-cpython-39\Release\github\RAD-NeRF\shencoder\src\bindings.obj D:\github\RAD-NeRF\shencoder\build\temp.win-amd64-cpython-39\Release\github\RAD-NeRF\shencoder\src\shencoder.obj /OUT:build\lib.win-amd64-cpython-39\_shencoder.cp39-win_amd64.pyd /IMPLIB:D:\github\RAD-NeRF\shencoder\build\temp.win-amd64-cpython-39\Release\github\RAD-NeRF\shencoder\src\_shencoder.cp39-win_amd64.lib
  LINK : fatal error LNK1181: 无法打开输入文件“D:\github\RAD-NeRF\shencoder\build\temp.win-amd64-cpython-39\Release\github\RAD-NeRF\shencoder\src\bindings.obj”
  error: command 'C:\\Program Files (x86)\\Microsoft Visual Studio\\2019\\Community\\VC\\Tools\\MSVC\\14.29.30133\\bin\\HostX86\\x64\\link.exe' failed with exit code 1181
  [end of output]

note: This error originates from a subprocess, and is likely not a problem with pip. error: legacy-install-failure

× Encountered error while trying to install package. ╰─> shencoder

note: This is an issue with the package mentioned above, not pip. hint: See above for output from the failure. Processing d:\github\rad-nerf\gridencoder Preparing metadata (setup.py) ... done Building wheels for collected packages: gridencoder Building wheel for gridencoder (setup.py) ... error error: subprocess-exited-with-error

× python setup.py bdist_wheel did not run successfully. │ exit code: 1 ╰─> [13 lines of output] running bdist_wheel running build running build_ext D:\LeStoreDownload\anaconda\envs\Radnerf\lib\site-packages\torch\utils\cpp_extension.py:813: UserWarning: The detected CUDA version (11.6) has a minor version mismatch with the version that was used to compile PyTorch (11.3). Most likely this shouldn't be a problem. warnings.warn(CUDA_MISMATCH_WARN.format(cuda_str_version, torch.version.cuda)) building '_gridencoder' extension Emitting ninja build file D:\github\RAD-NeRF\gridencoder\build\temp.win-amd64-cpython-39\Release\build.ninja... Compiling objects... Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N) 1.11.1.git.kitware.jobserver-1 "C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.29.30133\bin\HostX86\x64\link.exe" /nologo /INCREMENTAL:NO /LTCG /DLL /MANIFEST:EMBED,ID=2 /MANIFESTUAC:NO /LIBPATH:D:\LeStoreDownload\anaconda\envs\Radnerf\lib\site-packages\torch\lib "/LIBPATH:C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\lib/x64" /LIBPATH:D:\LeStoreDownload\anaconda\envs\Radnerf\libs /LIBPATH:D:\LeStoreDownload\anaconda\envs\Radnerf /LIBPATH:D:\LeStoreDownload\anaconda\envs\Radnerf\PCbuild\amd64 "/LIBPATH:C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.29.30133\ATLMFC\lib\x64" "/LIBPATH:C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\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__gridencoder D:\github\RAD-NeRF\gridencoder\build\temp.win-amd64-cpython-39\Release\github\RAD-NeRF\gridencoder\src\bindings.obj D:\github\RAD-NeRF\gridencoder\build\temp.win-amd64-cpython-39\Release\github\RAD-NeRF\gridencoder\src\gridencoder.obj /OUT:build\lib.win-amd64-cpython-39_gridencoder.cp39-win_amd64.pyd /IMPLIB:D:\github\RAD-NeRF\gridencoder\build\temp.win-amd64-cpython-39\Release\github\RAD-NeRF\gridencoder\src_gridencoder.cp39-win_amd64.lib LINK : fatal error LNK1181: 无法打开输入文件“D:\github\RAD-NeRF\gridencoder\build\temp.win-amd64-cpython-39\Release\github\RAD-NeRF\gridencoder\src\bindings.obj” error: command 'C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.29.30133\bin\HostX86\x64\link.exe' failed with exit code 1181 [end of output]

note: This error originates from a subprocess, and is likely not a problem with pip. ERROR: Failed building wheel for gridencoder Running setup.py clean for gridencoder Failed to build gridencoder Installing collected packages: gridencoder Running setup.py install for gridencoder ... error error: subprocess-exited-with-error

× Running setup.py install for gridencoder did not run successfully. │ exit code: 1 ╰─> [34 lines of output] running install D:\LeStoreDownload\anaconda\envs\Radnerf\lib\site-packages\setuptools_distutils\cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated. !!

          ********************************************************************************
          Please avoid running ``setup.py`` directly.
          Instead, use pypa/build, pypa/installer, pypa/build or
          other standards-based tools.

          See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
          ********************************************************************************

  !!
    self.initialize_options()
  running build
  running build_ext
  D:\LeStoreDownload\anaconda\envs\Radnerf\lib\site-packages\torch\utils\cpp_extension.py:813: UserWarning: The detected CUDA version (11.6) has a minor version mismatch with the version that was used to compile PyTorch (11.3). Most likely this shouldn't be a problem.
    warnings.warn(CUDA_MISMATCH_WARN.format(cuda_str_version, torch.version.cuda))
  building '_gridencoder' extension
  creating D:\github\RAD-NeRF\gridencoder\build
  creating D:\github\RAD-NeRF\gridencoder\build\temp.win-amd64-cpython-39
  creating D:\github\RAD-NeRF\gridencoder\build\temp.win-amd64-cpython-39\Release
  creating D:\github\RAD-NeRF\gridencoder\build\temp.win-amd64-cpython-39\Release\github
  creating D:\github\RAD-NeRF\gridencoder\build\temp.win-amd64-cpython-39\Release\github\RAD-NeRF
  creating D:\github\RAD-NeRF\gridencoder\build\temp.win-amd64-cpython-39\Release\github\RAD-NeRF\gridencoder
  creating D:\github\RAD-NeRF\gridencoder\build\temp.win-amd64-cpython-39\Release\github\RAD-NeRF\gridencoder\src
  Emitting ninja build file D:\github\RAD-NeRF\gridencoder\build\temp.win-amd64-cpython-39\Release\build.ninja...
  Compiling objects...
  Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)
  1.11.1.git.kitware.jobserver-1
  creating D:\github\RAD-NeRF\gridencoder\build\lib.win-amd64-cpython-39
  "C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.29.30133\bin\HostX86\x64\link.exe" /nologo /INCREMENTAL:NO /LTCG /DLL /MANIFEST:EMBED,ID=2 /MANIFESTUAC:NO /LIBPATH:D:\LeStoreDownload\anaconda\envs\Radnerf\lib\site-packages\torch\lib "/LIBPATH:C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\lib/x64" /LIBPATH:D:\LeStoreDownload\anaconda\envs\Radnerf\libs /LIBPATH:D:\LeStoreDownload\anaconda\envs\Radnerf /LIBPATH:D:\LeStoreDownload\anaconda\envs\Radnerf\PCbuild\amd64 "/LIBPATH:C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.29.30133\ATLMFC\lib\x64" "/LIBPATH:C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\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__gridencoder D:\github\RAD-NeRF\gridencoder\build\temp.win-amd64-cpython-39\Release\github\RAD-NeRF\gridencoder\src\bindings.obj D:\github\RAD-NeRF\gridencoder\build\temp.win-amd64-cpython-39\Release\github\RAD-NeRF\gridencoder\src\gridencoder.obj /OUT:build\lib.win-amd64-cpython-39\_gridencoder.cp39-win_amd64.pyd /IMPLIB:D:\github\RAD-NeRF\gridencoder\build\temp.win-amd64-cpython-39\Release\github\RAD-NeRF\gridencoder\src\_gridencoder.cp39-win_amd64.lib
  LINK : fatal error LNK1181: 无法打开输入文件“D:\github\RAD-NeRF\gridencoder\build\temp.win-amd64-cpython-39\Release\github\RAD-NeRF\gridencoder\src\bindings.obj”
  error: command 'C:\\Program Files (x86)\\Microsoft Visual Studio\\2019\\Community\\VC\\Tools\\MSVC\\14.29.30133\\bin\\HostX86\\x64\\link.exe' failed with exit code 1181
  [end of output]

note: This error originates from a subprocess, and is likely not a problem with pip. error: legacy-install-failure

× Encountered error while trying to install package. ╰─> gridencoder

note: This is an issue with the package mentioned above, not pip. hint: See above for output from the failure. Processing d:\github\rad-nerf\raymarching Preparing metadata (setup.py) ... done Building wheels for collected packages: raymarching-face Building wheel for raymarching-face (setup.py) ... error error: subprocess-exited-with-error

× python setup.py bdist_wheel did not run successfully. │ exit code: 1 ╰─> [13 lines of output] running bdist_wheel running build running build_ext D:\LeStoreDownload\anaconda\envs\Radnerf\lib\site-packages\torch\utils\cpp_extension.py:813: UserWarning: The detected CUDA version (11.6) has a minor version mismatch with the version that was used to compile PyTorch (11.3). Most likely this shouldn't be a problem. warnings.warn(CUDA_MISMATCH_WARN.format(cuda_str_version, torch.version.cuda)) building '_raymarching_face' extension Emitting ninja build file D:\github\RAD-NeRF\raymarching\build\temp.win-amd64-cpython-39\Release\build.ninja... Compiling objects... Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N) 1.11.1.git.kitware.jobserver-1 "C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.29.30133\bin\HostX86\x64\link.exe" /nologo /INCREMENTAL:NO /LTCG /DLL /MANIFEST:EMBED,ID=2 /MANIFESTUAC:NO /LIBPATH:D:\LeStoreDownload\anaconda\envs\Radnerf\lib\site-packages\torch\lib "/LIBPATH:C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\lib/x64" /LIBPATH:D:\LeStoreDownload\anaconda\envs\Radnerf\libs /LIBPATH:D:\LeStoreDownload\anaconda\envs\Radnerf /LIBPATH:D:\LeStoreDownload\anaconda\envs\Radnerf\PCbuild\amd64 "/LIBPATH:C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.29.30133\ATLMFC\lib\x64" "/LIBPATH:C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\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__raymarching_face D:\github\RAD-NeRF\raymarching\build\temp.win-amd64-cpython-39\Release\github\RAD-NeRF\raymarching\src\bindings.obj D:\github\RAD-NeRF\raymarching\build\temp.win-amd64-cpython-39\Release\github\RAD-NeRF\raymarching\src\raymarching.obj /OUT:build\lib.win-amd64-cpython-39_raymarching_face.cp39-win_amd64.pyd /IMPLIB:D:\github\RAD-NeRF\raymarching\build\temp.win-amd64-cpython-39\Release\github\RAD-NeRF\raymarching\src_raymarching_face.cp39-win_amd64.lib LINK : fatal error LNK1181: 无法打开输入文件“D:\github\RAD-NeRF\raymarching\build\temp.win-amd64-cpython-39\Release\github\RAD-NeRF\raymarching\src\bindings.obj” error: command 'C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.29.30133\bin\HostX86\x64\link.exe' failed with exit code 1181 [end of output]

note: This error originates from a subprocess, and is likely not a problem with pip. ERROR: Failed building wheel for raymarching-face Running setup.py clean for raymarching-face Failed to build raymarching-face Installing collected packages: raymarching-face Running setup.py install for raymarching-face ... error error: subprocess-exited-with-error

× Running setup.py install for raymarching-face did not run successfully. │ exit code: 1 ╰─> [34 lines of output] running install D:\LeStoreDownload\anaconda\envs\Radnerf\lib\site-packages\setuptools_distutils\cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated. !!

          ********************************************************************************
          Please avoid running ``setup.py`` directly.
          Instead, use pypa/build, pypa/installer, pypa/build or
          other standards-based tools.

          See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
          ********************************************************************************

  !!
    self.initialize_options()
  running build
  running build_ext
  D:\LeStoreDownload\anaconda\envs\Radnerf\lib\site-packages\torch\utils\cpp_extension.py:813: UserWarning: The detected CUDA version (11.6) has a minor version mismatch with the version that was used to compile PyTorch (11.3). Most likely this shouldn't be a problem.
    warnings.warn(CUDA_MISMATCH_WARN.format(cuda_str_version, torch.version.cuda))
  building '_raymarching_face' extension
  creating D:\github\RAD-NeRF\raymarching\build
  creating D:\github\RAD-NeRF\raymarching\build\temp.win-amd64-cpython-39
  creating D:\github\RAD-NeRF\raymarching\build\temp.win-amd64-cpython-39\Release
  creating D:\github\RAD-NeRF\raymarching\build\temp.win-amd64-cpython-39\Release\github
  creating D:\github\RAD-NeRF\raymarching\build\temp.win-amd64-cpython-39\Release\github\RAD-NeRF
  creating D:\github\RAD-NeRF\raymarching\build\temp.win-amd64-cpython-39\Release\github\RAD-NeRF\raymarching
  creating D:\github\RAD-NeRF\raymarching\build\temp.win-amd64-cpython-39\Release\github\RAD-NeRF\raymarching\src
  Emitting ninja build file D:\github\RAD-NeRF\raymarching\build\temp.win-amd64-cpython-39\Release\build.ninja...
  Compiling objects...
  Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)
  1.11.1.git.kitware.jobserver-1
  creating D:\github\RAD-NeRF\raymarching\build\lib.win-amd64-cpython-39
  "C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.29.30133\bin\HostX86\x64\link.exe" /nologo /INCREMENTAL:NO /LTCG /DLL /MANIFEST:EMBED,ID=2 /MANIFESTUAC:NO /LIBPATH:D:\LeStoreDownload\anaconda\envs\Radnerf\lib\site-packages\torch\lib "/LIBPATH:C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\lib/x64" /LIBPATH:D:\LeStoreDownload\anaconda\envs\Radnerf\libs /LIBPATH:D:\LeStoreDownload\anaconda\envs\Radnerf /LIBPATH:D:\LeStoreDownload\anaconda\envs\Radnerf\PCbuild\amd64 "/LIBPATH:C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.29.30133\ATLMFC\lib\x64" "/LIBPATH:C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\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__raymarching_face D:\github\RAD-NeRF\raymarching\build\temp.win-amd64-cpython-39\Release\github\RAD-NeRF\raymarching\src\bindings.obj D:\github\RAD-NeRF\raymarching\build\temp.win-amd64-cpython-39\Release\github\RAD-NeRF\raymarching\src\raymarching.obj /OUT:build\lib.win-amd64-cpython-39\_raymarching_face.cp39-win_amd64.pyd /IMPLIB:D:\github\RAD-NeRF\raymarching\build\temp.win-amd64-cpython-39\Release\github\RAD-NeRF\raymarching\src\_raymarching_face.cp39-win_amd64.lib
  LINK : fatal error LNK1181: 无法打开输入文件“D:\github\RAD-NeRF\raymarching\build\temp.win-amd64-cpython-39\Release\github\RAD-NeRF\raymarching\src\bindings.obj”
  error: command 'C:\\Program Files (x86)\\Microsoft Visual Studio\\2019\\Community\\VC\\Tools\\MSVC\\14.29.30133\\bin\\HostX86\\x64\\link.exe' failed with exit code 1181
  [end of output]

note: This error originates from a subprocess, and is likely not a problem with pip. error: legacy-install-failure

× Encountered error while trying to install package. ╰─> raymarching-face

note: This is an issue with the package mentioned above, not pip. hint: See above for output from the failure.``

what should I do now

davidspicy commented 1 year ago

everything works perfectly for me in this environment, it should work fine after. shot

Sticcolet commented 1 year ago

I met the same problem. It seems cause by ninja do not work correctly but I dont know how to solve it. Do you have any ideas?

gloomiebloomie commented 1 year ago

After upgrading from cuda 11.6 to 11.8 and deleting 11.6 env path in windows 10 and uninstalling torch torchvision and torchaudio and reinistalling current cuda 11.8 stable torch 2.0 install it didn't have this error. I also had to use powershell instead on cmd to start training on windows.

Tuziking commented 8 months ago

从 cuda 11.6 升级到 11.8 并删除 Windows 10 中的 11.6 env 路径并卸载 torch torchvision 和 torchaudio 并重新安装当前的 cuda 11.8 stable torch 2.0 安装后，没有出现此错误。我还必须在 cmd 上使用 powershell 来开始在 Windows 上进行训

Hello, I referred to your colab deployment plan, but I found that I still cannot solve this problem. The error is that freqencoder, shencoder, etc. cannot be built. The problem seems to be install_ext.sh. How to solve it?

RuojiWang commented 6 months ago

@davidspicy @Sticcolet @Tuziking @gloomiebloomie @sunmingyang666 i want to train model about 256x256 resolution, how can i do this, thanks in advance