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python3.8/site-packages/tiny-cuda-nn/bindings/torch$ python setup.py install
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
/miniconda3/envs/scope/lib/python3.8/site-packages/torch/cuda/init.py:104: UserWarning:
NVIDIA GeForce RTX 4090 with CUDA capability sm_89 is not compatible with the current PyTorch installation.
The current PyTorch install supports CUDA capabilities sm_35 sm_50 sm_60 sm_61 sm_70 sm_75 compute_50.
If you want to use the NVIDIA GeForce RTX 4090 GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
warnings.warn(incompatible_device_warn.format(device_name, capability, " ".join(arch_list), device_name))
Obtained compute capability 89 from PyTorch
Detected CUDA version 11.5
WARNING: Compute capabilities [89] are not all supported by the installed CUDA version 11.5. Targeting [86] instead.
Targeting C++ standard 17
running install
/miniconda3/envs/scope/lib/python3.8/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 or other
standards-based tools.
See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
********************************************************************************
/miniconda3/envs/scope/lib/python3.8/site-packages/torch/utils/cpp_extension.py", line 1683, in _run_ninja_build
raise RuntimeError(message) from e
RuntimeError: Error compiling objects for extension
For the aforementioned issue, I hope to receive some assistance.
The text was updated successfully, but these errors were encountered:
First, there was an error: RuntimeError: Error compiling objects for extension.
Then, in the setup.py file, change
cmdclass={'build_ext': BuildExtension}
to
cmdclass={'build_ext': BuildExtension.with_options(use_ninja=False)}.
After that, there was another error: error: command '/usr/bin/nvcc' failed with exit code 1.
Using sudo find / -name "nvcc" to locate the nvcc of the CUDA installation (version 11.6),
edit the ~/.bashrc file :
vim ~/.bashrc
export CUDA_HOME=/home/li/miniconda3/pkgs/cuda-11.6
export PATH=$CUDA_HOME/bin:$PATH
export LD_LIBRARY_PATH=$CUDA_HOME/lib:$LD_LIBRARY_PATH
source ~/.bashrc
Finally, the download of the tinycudann package was completed
python3.8/site-packages/tiny-cuda-nn/bindings/torch$ python setup.py install
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
/miniconda3/envs/scope/lib/python3.8/site-packages/torch/cuda/init.py:104: UserWarning:
NVIDIA GeForce RTX 4090 with CUDA capability sm_89 is not compatible with the current PyTorch installation.
The current PyTorch install supports CUDA capabilities sm_35 sm_50 sm_60 sm_61 sm_70 sm_75 compute_50.
If you want to use the NVIDIA GeForce RTX 4090 GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
warnings.warn(incompatible_device_warn.format(device_name, capability, " ".join(arch_list), device_name))
Obtained compute capability 89 from PyTorch
Detected CUDA version 11.5
WARNING: Compute capabilities [89] are not all supported by the installed CUDA version 11.5. Targeting [86] instead.
Targeting C++ standard 17
running install
/miniconda3/envs/scope/lib/python3.8/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated.
!!
/miniconda3/envs/scope/lib/python3.8/site-packages/torch/utils/cpp_extension.py", line 1683, in _run_ninja_build
raise RuntimeError(message) from e
RuntimeError: Error compiling objects for extension
For the aforementioned issue, I hope to receive some assistance.
The text was updated successfully, but these errors were encountered: