Can't install tiny-cuda-nn

[s1eeveW]

The error is that:

(nerfstudio) E:>pip install ninja git+https://github.com/NVlabs/tiny-cuda-nn/#subdirectory=bindings/torch
Collecting git+https://github.com/NVlabs/tiny-cuda-nn/#subdirectory=bindings/torch
Cloning https://github.com/NVlabs/tiny-cuda-nn/ to c:\users\24252\appdata\local\temp\pip-req-build-tcaxpakb
Running command git clone --filter=blob:none --quiet https://github.com/NVlabs/tiny-cuda-nn/ 'C:\Users\24252\AppData\Local\Temp\pip-req-build-tcaxpakb'
Resolved https://github.com/NVlabs/tiny-cuda-nn/ to commit 4892659
Running command git submodule update --init --recursive -q
Preparing metadata (setup.py) ... done
Collecting ninja
Using cached ninja-1.11.1.1-py2.py3-none-win_amd64.whl.metadata (5.4 kB)
Using cached ninja-1.11.1.1-py2.py3-none-win_amd64.whl (312 kB)
Building wheels for collected packages: tinycudann
Building wheel for tinycudann (setup.py) ... error
error: subprocess-exited-with-error

× python setup.py bdist_wheel did not run successfully.
│ exit code: 1
╰─> [43 lines of output]
C:\Users\24252\AppData\Local\Temp\pip-req-build-tcaxpakb\bindings/torch\setup.py:5: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html
from pkg_resources import parse_version
Building PyTorch extension for tiny-cuda-nn version 1.7
Obtained compute capability 86 from PyTorch
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2022 NVIDIA Corporation
Built on Wed_Sep_21_10:41:10_Pacific_Daylight_Time_2022
Cuda compilation tools, release 11.8, V11.8.89
Build cuda_11.8.r11.8/compiler.31833905_0
Detected CUDA version 11.8
Targeting C++ standard 17
running bdist_wheel
E:\Programming\Anaconda\envs\nerfstudio\lib\site-packages\torch\utils\cpp_extension.py:502: UserWarning: Attempted to use ninja as the BuildExtension backend but we could not find ninja.. Falling back to using the slow distutils backend.
warnings.warn(msg.format('we could not find ninja.'))
running build
running build_py
creating build
creating build\lib.win-amd64-cpython-38
creating build\lib.win-amd64-cpython-38\tinycudann
copying tinycudann\modules.py -> build\lib.win-amd64-cpython-38\tinycudann
copying tinycudann_init_.py -> build\lib.win-amd64-cpython-38\tinycudann
running egg_info
creating tinycudann.egg-info
writing tinycudann.egg-info\PKG-INFO
writing dependency_links to tinycudann.egg-info\dependency_links.txt
writing top-level names to tinycudann.egg-info\top_level.txt
writing manifest file 'tinycudann.egg-info\SOURCES.txt'
reading manifest file 'tinycudann.egg-info\SOURCES.txt'
writing manifest file 'tinycudann.egg-info\SOURCES.txt'
copying tinycudann\bindings.cpp -> build\lib.win-amd64-cpython-38\tinycudann
running build_ext
building 'tinycudann_bindings._86_C' extension
creating build\dependencies
creating build\dependencies\fmt
creating build\dependencies\fmt\src
creating build\src
creating build\temp.win-amd64-cpython-38
creating build\temp.win-amd64-cpython-38\Release
creating build\temp.win-amd64-cpython-38\Release\tinycudann
E:\VS_BuildTool\IDE\VC\Tools\MSVC\14.40.33807\bin\Hostx64\x64\cl.exe /c /nologo /O2 /W3 /GL /DNDEBUG /MD -IC:\Users\24252\AppData\Local\Temp\pip-req-build-tcaxpakb/include -IC:\Users\24252\AppData\Local\Temp\pip-req-build-tcaxpakb/dependencies -IC:\Users\24252\AppData\Local\Temp\pip-req-build-tcaxpakb/dependencies/cutlass/include -IC:\Users\24252\AppData\Local\Temp\pip-req-build-tcaxpakb/dependencies/cutlass/tools/util/include -IC:\Users\24252\AppData\Local\Temp\pip-req-build-tcaxpakb/dependencies/fmt/include -IE:\Programming\Anaconda\envs\nerfstudio\lib\site-packages\torch\include -IE:\Programming\Anaconda\envs\nerfstudio\lib\site-packages\torch\include\torch\csrc\api\include -IE:\Programming\Anaconda\envs\nerfstudio\lib\site-packages\torch\include\TH -IE:\Programming\Anaconda\envs\nerfstudio\lib\site-packages\torch\include\THC "-IC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\include" -IE:\Programming\Anaconda\envs\nerfstudio\include -IE:\Programming\Anaconda\envs\nerfstudio\Include /EHsc /Tp../../dependencies/fmt/src/format.cc /Fobuild\temp.win-amd64-cpython-38\Release../../dependencies/fmt/src/format.obj /MD /wd4819 /wd4251 /wd4244 /wd4267 /wd4275 /wd4018 /wd4190 /wd4624 /wd4067 /wd4068 /EHsc /std:c++17 -DTCNN_PARAMS_UNALIGNED -DTCNN_MIN_GPU_ARCH=86 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=_86_C -D_GLIBCXX_USE_CXX11_ABI=0
format.cc
C:\Users\24252\AppData\Local\Temp\pip-req-build-tcaxpakb/dependencies/fmt/include\fmt/format-inl.h(11): fatal error C1083: Cannot open include file: 'algorithm': No such file or directory
error: command 'E:\VS_BuildTool\IDE\VC\Tools\MSVC\14.40.33807\bin\Hostx64\x64\cl.exe' failed with exit code 2
[end of output]

note: This error originates from a subprocess, and is likely not a problem with pip.
ERROR: Failed building wheel for tinycudann
Running setup.py clean for tinycudann
Failed to build tinycudann
ERROR: Could not build wheels for tinycudann, which is required to install pyproject.toml-based projects

My setting is:

(nerfstudio) E:>g++ --version

g++ (MinGW.org GCC-6.3.0-1) 6.3.0
Copyright (C) 2016 Free Software Foundation, Inc.
This is free software; see the source for copying conditions. There is NO
warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.

(nerfstudio) E:>cl
Microsoft (R) C/C++ Optimizing Compiler Version 19.40.33808 for x64
Copyright (C) Microsoft Corporation. All rights reserved.

usage: cl [ option... ] filename... [ /link linkoption... ]

(nerfstudio) E:>nvcc -V
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2022 NVIDIA Corporation
Built on Wed_Sep_21_10:41:10_Pacific_Daylight_Time_2022
Cuda compilation tools, release 11.8, V11.8.89
Build cuda_11.8.r11.8/compiler.31833905_0

Someone can help me?
thx~

[cogwheel]

error: command 'E:\VS_BuildTool\IDE\VC\Tools\MSVC\14.40.33807\bin\Hostx64\x64\cl.exe' failed with exit code 2

I think you're on a pretty old visual studio version. NVCC uses MSVC by default. You should upgrade to VS2022 I think.