About environments！
XLR-man opened this issue · comments
I have many problems about install the env：
Installing pip dependencies: | Ran pip subprocess with arguments:
['/data/xielangren/miniconda3/envs/torch-ngp/bin/python', '-m', 'pip', 'install', '-U', '-r', '/data/xielangren/project/torch-ngp/condaenv.ksuxyuvb.requirements.txt', '--exists-action=b']
Pip subprocess output:
Collecting git+https://github.com/NVlabs/tiny-cuda-nn/#subdirectory=bindings/torch (from -r /data/xielangren/project/torch-ngp/condaenv.ksuxyuvb.requirements.txt (line 7))
Cloning https://github.com/NVlabs/tiny-cuda-nn/ to /tmp/pip-req-build-s62n_udk
Resolved https://github.com/NVlabs/tiny-cuda-nn/ to commit 212104156403bd87616c1a4f73a1c5f2c2e172a9
Preparing metadata (setup.py): started
Preparing metadata (setup.py): still running...
Preparing metadata (setup.py): finished with status 'error'
Pip subprocess error:
Running command git clone --filter=blob:none --quiet https://github.com/NVlabs/tiny-cuda-nn/ /tmp/pip-req-build-s62n_udk
Running command git submodule update --init --recursive -q
error: subprocess-exited-with-error
× python setup.py egg_info did not run successfully.
│ exit code: 1
╰─> [10 lines of output]
/tmp/pip-req-build-s62n_udk/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
No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
Traceback (most recent call last):
File "<string>", line 2, in <module>
File "<pip-setuptools-caller>", line 34, in <module>
File "/tmp/pip-req-build-s62n_udk/bindings/torch/setup.py", line 51, in <module>
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.
failed
CondaEnvException: Pip failed
What is the problem and how can I solve it?
I follow the readme，after pip install -r requirements.txt， i got：
Package Version
------------------------ ------------
boltons 23.0.0
brotlipy 0.7.0
cachetools 5.3.1
certifi 2023.5.7
cffi 1.15.1
charset-normalizer 2.0.4
conda 23.5.2
conda-content-trust 0.1.3
conda-libmamba-solver 23.5.0
conda-package-handling 2.1.0
conda_package_streaming 0.8.0
contourpy 1.1.1
cryptography 39.0.1
cutlass 0.0.1
cycler 0.12.1
dearpygui 1.10.1
filelock 3.13.1
fmt 0.3.1
fonttools 4.44.0
fsspec 2023.10.0
idna 3.4
imageio 2.31.6
Jinja2 3.1.2
jsonpatch 1.32
jsonpointer 2.1
kiwisolver 1.4.5
libmambapy 1.4.1
lightning-utilities 0.9.0
lpips 0.1.4
markdown-it-py 3.0.0
MarkupSafe 2.1.3
matplotlib 3.8.1
mdurl 0.1.2
mpmath 1.3.0
networkx 3.2.1
ninja 1.11.1.1
numpy 1.26.1
nvidia-cublas-cu12 12.1.3.1
nvidia-cuda-cupti-cu12 12.1.105
nvidia-cuda-nvrtc-cu12 12.1.105
nvidia-cuda-runtime-cu12 12.1.105
nvidia-cudnn-cu12 8.9.2.26
nvidia-cufft-cu12 11.0.2.54
nvidia-curand-cu12 10.3.2.106
nvidia-cusolver-cu12 11.4.5.107
nvidia-cusparse-cu12 12.1.0.106
nvidia-ml-py 12.535.108
nvidia-nccl-cu12 2.18.1
nvidia-nvjitlink-cu12 12.3.52
nvidia-nvtx-cu12 12.1.105
nvitop 1.3.0
opencv-python 4.8.1.78
packaging 23.0
pandas 2.1.2
Pillow 10.0.1
pip 23.1.2
pluggy 1.0.0
protobuf 4.25.0
psutil 5.9.5
pycosat 0.6.4
pycparser 2.21
Pygments 2.16.1
PyMCubes 0.1.4
pyOpenSSL 23.0.0
pyparsing 3.1.1
pysdf 0.1.9
PySocks 1.7.1
python-dateutil 2.8.2
pytz 2023.3.post1
requests 2.29.0
rich 13.6.0
ruamel.yaml 0.17.21
scipy 1.11.3
setuptools 67.8.0
six 1.16.0
sympy 1.12
tensorboardX 2.6.2.2
termcolor 2.3.0
toolz 0.12.0
torch 2.1.0
torch-ema 0.3
torchmetrics 1.2.0
torchvision 0.16.0
tqdm 4.65.0
trimesh 4.0.2
triton 2.1.0
typing_extensions 4.8.0
tzdata 2023.3
urllib3 1.26.16
wheel 0.38.4
zstandard 0.19.0
when i run conda create env, i got the problem above