Error when installing MinkowskiEngine on WSL (Windows Subsystem Linux)
Describe the bug I get an error when installing the engine on my Linux subsystem in Windows.
Running command git rev-parse HEAD
7867296920d055539aec295c0c41d06a4309b876
Resolved https://github.com/NVIDIA/MinkowskiEngine to commit 7867296920d055539aec295c0c41d06a4309b876
Running command git rev-parse HEAD
7867296920d055539aec295c0c41d06a4309b876
Running command python setup.py egg_info
WARNING: Skipping MinkowskiEngine as it is not installed.
/tmp/pip-req-build-fgmmiyyu/setup.py:198: DeprecationWarning:
`numpy.distutils` is deprecated since NumPy 1.23.0, as a result
of the deprecation of `distutils` itself. It will be removed for
Python >= 3.12. For older Python versions it will remain present.
It is recommended to use `setuptools < 60.0` for those Python versions.
For more details, see:
https://numpy.org/devdocs/reference/distutils_status_migration.html
import numpy.distutils.system_info as sysinfo
Traceback (most recent call last):
File "<string>", line 2, in <module>
File "<pip-setuptools-caller>", line 34, in <module>
File "/tmp/pip-req-build-fgmmiyyu/setup.py", line 308, in <module>
Extension(
File "/home/user/.local/lib/python3.8/site-packages/torch/utils/cpp_extension.py", line 983, in CUDAExtension
library_dirs += library_paths(cuda=True)
File "/home/user/.local/lib/python3.8/site-packages/torch/utils/cpp_extension.py", line 1098, in library_paths
if (not os.path.exists(_join_cuda_home(lib_dir)) and
File "/home/user/.local/lib/python3.8/site-packages/torch/utils/cpp_extension.py", line 2125, in _join_cuda_home
raise EnvironmentError('CUDA_HOME environment variable is not set. '
OSError: CUDA_HOME environment variable is not set. Please set it to your CUDA install root.
--------------------------------
| CUDA compilation set |
--------------------------------
Using BLAS=openblas
Using the default compiler
error: subprocess-exited-with-error
× python setup.py egg_info did not run successfully.
│ exit code: 1
╰─> See above for output.
note: This error originates from a subprocess, and is likely not a problem with pip.
full command: /home/user/anaconda3/envs/py3-mink/bin/python -c '
exec(compile('"'"''"'"''"'"'
# This is <pip-setuptools-caller> -- a caller that pip uses to run setup.py
#
# - It imports setuptools before invoking setup.py, to enable projects that directly
# import from `distutils.core` to work with newer packaging standards.
# - It provides a clear error message when setuptools is not installed.
# - It sets `sys.argv[0]` to the underlying `setup.py`, when invoking `setup.py` so
# setuptools doesn'"'"'t think the script is `-c`. This avoids the following warning:
# manifest_maker: standard file '"'"'-c'"'"' not found".
# - It generates a shim setup.py, for handling setup.cfg-only projects.
import os, sys, tokenize
try:
import setuptools
except ImportError as error:
print(
"ERROR: Can not execute `setup.py` since setuptools is not available in "
"the build environment.",
file=sys.stderr,
)
sys.exit(1)
__file__ = %r
sys.argv[0] = __file__
if os.path.exists(__file__):
filename = __file__
with tokenize.open(__file__) as f:
setup_py_code = f.read()
else:
filename = "<auto-generated setuptools caller>"
setup_py_code = "from setuptools import setup; setup()"
exec(compile(setup_py_code, filename, "exec"))
'"'"''"'"''"'"' % ('"'"'/tmp/pip-req-build-fgmmiyyu/setup.py'"'"',), "<pip-setuptools-caller>", "exec"))' egg_info --egg-base /tmp/pip-pip-egg-info-uklkbe3i
cwd: /tmp/pip-req-build-fgmmiyyu/
Preparing metadata (setup.py) ... error
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.
To Reproduce I use a linux subsystem and I follow the steps described in the documentation
conda create -n py3-mink python=3.8
conda activate py3-mink
conda install openblas-devel -c anaconda
conda install pytorch=1.9.0 torchvision cudatoolkit=11.1 -c pytorch -c nvidia
# Install MinkowskiEngine
# Uncomment the following line to specify the cuda home. Make sure `$CUDA_HOME/nvcc --version` is 11.X
# export CUDA_HOME=/usr/local/cuda-11.1
pip install -U git+https://github.com/NVIDIA/MinkowskiEngine -v --no-deps --install-option="--blas_include_dirs=${CONDA_PREFIX}/include" --install-option="--blas=openblas"
# Or if you want local MinkowskiEngine
git clone https://github.com/NVIDIA/MinkowskiEngine.git
cd MinkowskiEngine
python setup.py install --blas_include_dirs=${CONDA_PREFIX}/include --blas=openblas
- a minimally reproducible code.
Expected behavior A clear and concise description of what you expected to happen.
Desktop (please complete the following information):
- OS: Ubuntu-22.04 in a Windows Subsystem (Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.17)
- Python version: 3.8 according to the this recipe
- Pytorch version: 1.12.1+cu102
- CUDA version: 11.7
- NVIDIA Driver version: 516.94
- Minkowski Engine version MinkowskiEngine not installed
wget -q https://raw.githubusercontent.com/NVIDIA/MinkowskiEngine/master/MinkowskiEngine/diagnostics.py ; python diagnostics.py
Additional context No additional context
Hey, did you figure it out?
@sambaPython24 did you solve the issue?
hey, did anyone solved the issue???
Maybe try adding export MAX_JOBS=1; before build command ?
Maybe try adding
export MAX_JOBS=1;before build command ?
It is slow but this worked for me!
Try to install cuda in conda (choose the right cuda version).
conda install cuda -c nvidia/label/cuda-11.3.0
see: https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#conda-installation