I followed the instruction to set up the conda environment. pip install . also shows install success although there are some warnings in the middle if I turn verbal on as I paste below.
(plenoxel) fjd@ubuntu:~/svox2$ pip install -vvv .
Using pip 21.2.4 from /home/jiadingfang/miniconda3/envs/plenoxel/lib/python3.8/site-packages/pip (python 3.8)
Non-user install because site-packages writeable
Created temporary directory: /tmp/pip-ephem-wheel-cache-a7emr_2a
Created temporary directory: /tmp/pip-req-tracker-te95wz2u
Initialized build tracking at /tmp/pip-req-tracker-te95wz2u
Created build tracker: /tmp/pip-req-tracker-te95wz2u
Entered build tracker: /tmp/pip-req-tracker-te95wz2u
Created temporary directory: /tmp/pip-install-46ca95tc
Processing /home/jiadingfang/svox2
Created temporary directory: /tmp/pip-req-build-54573r1e
DEPRECATION: A future pip version will change local packages to be built in-place without first copying to a temporary directory. We recommend you use --use-feature=in-tree-build to test your packages with this new behavior before it becomes the default.
pip 21.3 will remove support for this functionality. You can find discussion regarding this at https://github.com/pypa/pip/issues/7555.
Added file:///home/jiadingfang/svox2 to build tracker '/tmp/pip-req-tracker-te95wz2u'
Running setup.py (path:/tmp/pip-req-build-54573r1e/setup.py) egg_info for package from file:///home/jiadingfang/svox2
Created temporary directory: /tmp/pip-pip-egg-info-f35aik22
Running command python setup.py egg_info
running egg_info
creating /tmp/pip-pip-egg-info-f35aik22/svox2.egg-info
writing /tmp/pip-pip-egg-info-f35aik22/svox2.egg-info/PKG-INFO
writing dependency_links to /tmp/pip-pip-egg-info-f35aik22/svox2.egg-info/dependency_links.txt
writing top-level names to /tmp/pip-pip-egg-info-f35aik22/svox2.egg-info/top_level.txt
writing manifest file '/tmp/pip-pip-egg-info-f35aik22/svox2.egg-info/SOURCES.txt'
/tmp/pip-req-build-54573r1e/setup.py:25: UserWarning: The environment variable `CUB_HOME` was not found.Installation will fail if your system CUDA toolkit version is less than 11.NVIDIA CUB can be downloaded from `https://github.com/NVIDIA/cub/releases`. You can unpack it to a location of your choice and set the environment variable `CUB_HOME` to the folder containing the `CMakeListst.txt` file.
warnings.warn(
/tmp/pip-req-build-54573r1e/setup.py:52: UserWarning: Failed to build CUDA extension
warnings.warn("Failed to build CUDA extension")
/home/jiadingfang/miniconda3/envs/plenoxel/lib/python3.8/site-packages/setuptools/installer.py:27: SetuptoolsDeprecationWarning: setuptools.installer is deprecated. Requirements should be satisfied by a PEP 517 installer.
warnings.warn(
package init file 'svox2/csrc/__init__.py' not found (or not a regular file)
reading manifest file '/tmp/pip-pip-egg-info-f35aik22/svox2.egg-info/SOURCES.txt'
adding license file 'LICENSE'
writing manifest file '/tmp/pip-pip-egg-info-f35aik22/svox2.egg-info/SOURCES.txt'
Source in /tmp/pip-req-build-54573r1e has version 0.0.1.dev0+sphtexcub.lincolor.fast, which satisfies requirement svox2==0.0.1.dev0+sphtexcub.lincolor.fast from file:///home/jiadingfang/svox2
Removed svox2==0.0.1.dev0+sphtexcub.lincolor.fast from file:///home/jiadingfang/svox2 from build tracker '/tmp/pip-req-tracker-te95wz2u'
Created temporary directory: /tmp/pip-unpack-e4yuvmcy
Building wheels for collected packages: svox2
Created temporary directory: /tmp/pip-wheel-yc1v8yvk
Building wheel for svox2 (setup.py) ... Destination directory: /tmp/pip-wheel-yc1v8yvk
Running command /home/jiadingfang/miniconda3/envs/plenoxel/bin/python -u -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-req-build-54573r1e/setup.py'"'"'; __file__='"'"'/tmp/pip-req-build-54573r1e/setup.py'"'"';f = getattr(tokenize, '"'"'open'"'"', open)(__file__) if os.path.exists(__file__) else io.StringIO('"'"'from setuptools import setup; setup()'"'"');code = f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' bdist_wheel -d /tmp/pip-wheel-yc1v8yvk
/tmp/pip-req-build-54573r1e/setup.py:25: UserWarning: The environment variable `CUB_HOME` was not found.Installation will fail if your system CUDA toolkit version is less than 11.NVIDIA CUB can be downloaded from `https://github.com/NVIDIA/cub/releases`. You can unpack it to a location of your choice and set the environment variable `CUB_HOME` to the folder containing the `CMakeListst.txt` file.
warnings.warn(
/tmp/pip-req-build-54573r1e/setup.py:52: UserWarning: Failed to build CUDA extension
warnings.warn("Failed to build CUDA extension")
/home/jiadingfang/miniconda3/envs/plenoxel/lib/python3.8/site-packages/setuptools/installer.py:27: SetuptoolsDeprecationWarning: setuptools.installer is deprecated. Requirements should be satisfied by a PEP 517 installer.
warnings.warn(
running bdist_wheel
/home/jiadingfang/miniconda3/envs/plenoxel/lib/python3.8/site-packages/torch/utils/cpp_extension.py:411: 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
creating build/lib/svox2
copying svox2/version.py -> build/lib/svox2
copying svox2/svox2.py -> build/lib/svox2
copying svox2/defs.py -> build/lib/svox2
copying svox2/utils.py -> build/lib/svox2
copying svox2/__init__.py -> build/lib/svox2
package init file 'svox2/csrc/__init__.py' not found (or not a regular file)
/home/jiadingfang/miniconda3/envs/plenoxel/lib/python3.8/site-packages/setuptools/command/install.py:34: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools.
warnings.warn(
installing to build/bdist.linux-x86_64/wheel
running install
running install_lib
creating build/bdist.linux-x86_64
creating build/bdist.linux-x86_64/wheel
creating build/bdist.linux-x86_64/wheel/svox2
copying build/lib/svox2/version.py -> build/bdist.linux-x86_64/wheel/svox2
copying build/lib/svox2/svox2.py -> build/bdist.linux-x86_64/wheel/svox2
copying build/lib/svox2/defs.py -> build/bdist.linux-x86_64/wheel/svox2
copying build/lib/svox2/utils.py -> build/bdist.linux-x86_64/wheel/svox2
copying build/lib/svox2/__init__.py -> build/bdist.linux-x86_64/wheel/svox2
running install_egg_info
running egg_info
creating svox2.egg-info
writing svox2.egg-info/PKG-INFO
writing dependency_links to svox2.egg-info/dependency_links.txt
writing top-level names to svox2.egg-info/top_level.txt
writing manifest file 'svox2.egg-info/SOURCES.txt'
reading manifest file 'svox2.egg-info/SOURCES.txt'
adding license file 'LICENSE'
writing manifest file 'svox2.egg-info/SOURCES.txt'
Copying svox2.egg-info to build/bdist.linux-x86_64/wheel/svox2-0.0.1.dev0+sphtexcub.lincolor.fast-py3.8.egg-info
running install_scripts
adding license file "LICENSE" (matched pattern "LICEN[CS]E*")
creating build/bdist.linux-x86_64/wheel/svox2-0.0.1.dev0+sphtexcub.lincolor.fast.dist-info/WHEEL
creating '/tmp/pip-wheel-yc1v8yvk/svox2-0.0.1.dev0+sphtexcub.lincolor.fast-py3-none-any.whl' and adding 'build/bdist.linux-x86_64/wheel' to it
adding 'svox2/__init__.py'
adding 'svox2/defs.py'
adding 'svox2/svox2.py'
adding 'svox2/utils.py'
adding 'svox2/version.py'
adding 'svox2-0.0.1.dev0+sphtexcub.lincolor.fast.dist-info/LICENSE'
adding 'svox2-0.0.1.dev0+sphtexcub.lincolor.fast.dist-info/METADATA'
adding 'svox2-0.0.1.dev0+sphtexcub.lincolor.fast.dist-info/WHEEL'
adding 'svox2-0.0.1.dev0+sphtexcub.lincolor.fast.dist-info/top_level.txt'
adding 'svox2-0.0.1.dev0+sphtexcub.lincolor.fast.dist-info/RECORD'
removing build/bdist.linux-x86_64/wheel
done
Created wheel for svox2: filename=svox2-0.0.1.dev0+sphtexcub.lincolor.fast-py3-none-any.whl size=28862 sha256=39eab6650f65831b69aef3fcfe3797a03dbcdae45fbce0e5bb984d03f82f8bfb
Stored in directory: /tmp/pip-ephem-wheel-cache-a7emr_2a/wheels/ca/fb/53/c67bbe70d48fe75eebc2aa677efb613b4bd9da6292e80d98a3
Successfully built svox2
Installing collected packages: svox2
Attempting uninstall: svox2
Found existing installation: svox2 0.0.1.dev0+sphtexcub.lincolor.fast
Uninstalling svox2-0.0.1.dev0+sphtexcub.lincolor.fast:
Created temporary directory: /home/jiadingfang/miniconda3/envs/plenoxel/lib/python3.8/site-packages/~vox2-0.0.1.dev0+sphtexcub.lincolor.fast.dist-info
Removing file or directory /home/jiadingfang/miniconda3/envs/plenoxel/lib/python3.8/site-packages/svox2-0.0.1.dev0+sphtexcub.lincolor.fast.dist-info/
Created temporary directory: /home/jiadingfang/miniconda3/envs/plenoxel/lib/python3.8/site-packages/~vox2
Removing file or directory /home/jiadingfang/miniconda3/envs/plenoxel/lib/python3.8/site-packages/svox2/
Successfully uninstalled svox2-0.0.1.dev0+sphtexcub.lincolor.fast
Successfully installed svox2-0.0.1.dev0+sphtexcub.lincolor.fast
Removed build tracker: '/tmp/pip-req-tracker-te95wz2u'
But when I try to run the training script, it says CUDA extension could not be loaded, and the current version has to have CUDA acceleration.
(plenoxel) fjd@ubuntu:~/svox2/opt$ CUDA_VISIBLE_DEVICES=0 python -u opt.py -t ckpt/syn-test/ ~/data/nerf_synthetic/ship/ -c configs/syn.json
/home/jiadingfang/miniconda3/envs/plenoxel/lib/python3.8/site-packages/svox2/utils.py:39: UserWarning: CUDA extension svox2.csrc could not be loaded! Operations will be slow.
Please do not import svox in the svox2 source directory.
warn("CUDA extension svox2.csrc could not be loaded! " +
Detected NeRF (Blender) dataset
LOAD DATA /home/jiadingfang/data/nerf_synthetic/ship/train
100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 100/100 [00:00<00:00, 105.87it/s]
Generating rays, scaling factor 1
/home/jiadingfang/miniconda3/envs/plenoxel/lib/python3.8/site-packages/torch/functional.py:478: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /opt/conda/conda-bld/pytorch_1656352465323/work/aten/src/ATen/native/TensorShape.cpp:2894.)
return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]
Detected NeRF (Blender) dataset
LOAD DATA /home/jiadingfang/data/nerf_synthetic/ship/test
100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 200/200 [00:01<00:00, 112.40it/s]
Traceback (most recent call last):
File "opt.py", line 285, in <module>
grid = svox2.SparseGrid(reso=reso_list[reso_id],
File "/home/jiadingfang/miniconda3/envs/plenoxel/lib/python3.8/site-packages/svox2/svox2.py", line 535, in __init__
self.accelerate()
File "/home/jiadingfang/miniconda3/envs/plenoxel/lib/python3.8/site-packages/svox2/svox2.py", line 1491, in accelerate
assert (
AssertionError: CUDA extension is currently required for accelerate
I followed the instruction to set up the conda environment.
pip install .also shows install success although there are some warnings in the middle if I turn verbal on as I paste below.But when I try to run the training script, it says CUDA extension could not be loaded, and the current version has to have CUDA acceleration.
I looked at current issues including https://github.com/sxyu/svox2/issues/70#issue-1190559189, https://github.com/sxyu/svox2/issues/53, https://github.com/sxyu/svox2/issues/15, https://github.com/sxyu/svox2/issues/73. But they are either not solved, or do not solve the problem.
My system has Nvidia Driver Version: 510.73.05 and CUDA toolkit 11.3.
I appreciate it if you can help with it as this seems to be a common issue.