search

NVlabs / nvdiffrec

Official code for the CVPR 2022 (oral) paper "Extracting Triangular 3D Models, Materials, and Lighting From Images".
Other
2.09k stars 222 forks source link

error: metadata-generation-failed #113

Open Justinfungi opened 1 year ago

Justinfungi commented 1 year ago

When i run pip install --global-option="--no-networks" git+https://github.com/NVlabs/tiny-cuda-nn#subdirectory=bindings/torch

The error code shown to me: ` WARNING: Implying --no-binary=:all: due to the presence of --build-option / --global-option / --install-option. Consider using --config-settings for more flexibility. DEPRECATION: --no-binary currently disables reading from the cache of locally built wheels. In the future --no-binary will not influence the wheel cache. pip 23.1 will enforce this behaviour change. A possible replacement is to use the --no-cache-dir option. You can use the flag --use-feature=no-binary-enable-wheel-cache to test the upcoming behaviour. Discussion can be found at https://github.com/pypa/pip/issues/11453 Collecting git+https://github.com/NVlabs/tiny-cuda-nn#subdirectory=bindings/torch Cloning https://github.com/NVlabs/tiny-cuda-nn to /tmp/pip-req-build-9_cmwgll Running command git clone --quiet https://github.com/NVlabs/tiny-cuda-nn /tmp/pip-req-build-9_cmwgll Resolved https://github.com/NVlabs/tiny-cuda-nn to commit 14053e9a87ebf449d32bda335c0363dd4f5667a4 Running command git submodule update --init --recursive -q Preparing metadata (setup.py) ... error error: subprocess-exited-with-error

× python setup.py egg_info did not run successfully. │ exit code: 1 ╰─> [8 lines of output] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' Traceback (most recent call last): File "", line 2, in File "", line 34, in File "/tmp/pip-req-build-9_cmwgll/bindings/torch/setup.py", line 30, in raise EnvironmentError("Unknown compute capability. Specify the target compute capabilities in the TCNN_CUDA_ARCHITECTURES environment variable or install PyTorch with the CUDA backend to detect it automatically.") OSError: Unknown compute capability. Specify the target compute capabilities in the TCNN_CUDA_ARCHITECTURES environment variable or install PyTorch with the CUDA backend to detect it automatically. Building PyTorch extension for tiny-cuda-nn version 1.7 [end of output]

note: This error originates from a subprocess, and is likely not a problem with pip. error: metadata-generation-failed

× Encountered error while generating package metadata. ╰─> See above for output.

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

jmunkberg commented 1 year ago

Looks like tiny-cuda-nn cannot find Cuda.

Regardless, this is an issue with tiny-cuda-nn, not nvdiffrec, so I recommend to file an issue at https://github.com/NVlabs/tiny-cuda-nn or check there for a recommended solution.