Comments (6)
My CUDA toolkit version is 11.8
my conda CUDA version seems to be 11.6.2
. Could this be the problem?
from gaussian-splatting.
I tried changing the cuda toolkit version in the environment.yml to 11.8, but I still get an error
from gaussian-splatting.
Failed to build diff_gaussian_rasterization simple_knn
Installing collected packages: simple_knn, diff_gaussian_rasterization
Running setup.py install for simple_knn: started
Running setup.py install for simple_knn: finished with status 'error'
Pip subprocess error:
error: subprocess-exited-with-error
× python setup.py bdist_wheel did not run successfully.
│ exit code: 1
╰─> [57 lines of output]
No CUDA runtime is found, using CUDA_HOME='C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8'
running bdist_wheel
C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\torch\utils\cpp_extension.py:411: UserWarning:.
warnings.warn(msg.format('we could not find ninja.'))
running build
running build_py
creating build
creating build\lib.win-amd64-cpython-37
creating build\lib.win-amd64-cpython-37\diff_gaussian_rasterization
copying diff_gaussian_rasterization\__init__.py -> build\lib.win-amd64-cpython-37\diff_gaussian_rasterization
running build_ext
Traceback (most recent call last):
File "<string>", line 36, in <module>
File "<pip-setuptools-caller>", line 34, in <module>
File "C:\Users\ITAEC\Documents\Github\gaussian-splatting\submodules\diff-gaussian-rasterization\setup.py", line>
'build_ext': BuildExtension
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\setuptools\__init__.py", line 103, in p
return distutils.core.setup(**attrs)
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\setuptools\_distutils\core.py", line 1p
return run_commands(dist)
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\setuptools\_distutils\core.py", line 2s
dist.run_commands()
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\setuptools\_distutils\dist.py", line 9s
self.run_command(cmd)
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\setuptools\dist.py", line 963, in run_d
super().run_command(command)
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\setuptools\_distutils\dist.py", line 9d
cmd_obj.run()
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\wheel\bdist_wheel.py", line 368, in run
self.run_command("build")
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\setuptools\_distutils\cmd.py", line 31d
self.distribution.run_command(command)
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\setuptools\dist.py", line 963, in run_d
super().run_command(command)
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\setuptools\_distutils\dist.py", line 9d
cmd_obj.run()
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\setuptools\_distutils\command\build.pyn
self.run_command(cmd_name)
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\setuptools\_distutils\cmd.py", line 31d
self.distribution.run_command(command)
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\setuptools\dist.py", line 963, in run_d
super().run_command(command)
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\setuptools\_distutils\dist.py", line 9d
cmd_obj.run()
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\setuptools\command\build_ext.py", linen
_build_ext.run(self)
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\setuptools\_distutils\command\build_exn
self.build_extensions()
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\torch\utils\cpp_extension.py", line 43s
self._check_cuda_version(compiler_name, compiler_version)
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\torch\utils\cpp_extension.py", line 80n
torch_cuda_version = packaging.version.parse(torch.version.cuda)
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\pkg_resources\_vendor\packaging\versioe
return Version(version)
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\pkg_resources\_vendor\packaging\versio_
match = self._regex.search(version)
TypeError: expected string or bytes-like object
[end of output]
note: This error originates from a subprocess, and is likely not a problem with pip.
ERROR: Failed building wheel for diff_gaussian_rasterization
error: subprocess-exited-with-error
× python setup.py bdist_wheel did not run successfully.
│ exit code: 1
╰─> [52 lines of output]
No CUDA runtime is found, using CUDA_HOME='C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8'
running bdist_wheel
C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\torch\utils\cpp_extension.py:411: UserWarning:.
warnings.warn(msg.format('we could not find ninja.'))
running build
running build_ext
Traceback (most recent call last):
File "<string>", line 36, in <module>
File "<pip-setuptools-caller>", line 34, in <module>
File "C:\Users\ITAEC\Documents\Github\gaussian-splatting\submodules\simple-knn\setup.py", line 33, in <module>
'build_ext': BuildExtension
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\setuptools\__init__.py", line 103, in p
return distutils.core.setup(**attrs)
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\setuptools\_distutils\core.py", line 1p
return run_commands(dist)
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\setuptools\_distutils\core.py", line 2s
dist.run_commands()
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\setuptools\_distutils\dist.py", line 9s
self.run_command(cmd)
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\setuptools\dist.py", line 963, in run_d
super().run_command(command)
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\setuptools\_distutils\dist.py", line 9d
cmd_obj.run()
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\wheel\bdist_wheel.py", line 368, in run
self.run_command("build")
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\setuptools\_distutils\cmd.py", line 31d
self.distribution.run_command(command)
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\setuptools\dist.py", line 963, in run_d
super().run_command(command)
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\setuptools\_distutils\dist.py", line 9d
cmd_obj.run()
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\setuptools\_distutils\command\build.pyn
self.run_command(cmd_name)
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\setuptools\_distutils\cmd.py", line 31d
self.distribution.run_command(command)
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\setuptools\dist.py", line 963, in run_d
super().run_command(command)
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\setuptools\_distutils\dist.py", line 9d
cmd_obj.run()
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\setuptools\command\build_ext.py", linen
_build_ext.run(self)
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\setuptools\_distutils\command\build_exn
self.build_extensions()
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\torch\utils\cpp_extension.py", line 43s
self._check_cuda_version(compiler_name, compiler_version)
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\torch\utils\cpp_extension.py", line 80n
torch_cuda_version = packaging.version.parse(torch.version.cuda)
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\pkg_resources\_vendor\packaging\versioe
return Version(version)
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\pkg_resources\_vendor\packaging\versio_
match = self._regex.search(version)
TypeError: expected string or bytes-like object
[end of output]
note: This error originates from a subprocess, and is likely not a problem with pip.
ERROR: Failed building wheel for simple_knn
error: subprocess-exited-with-error
× Running setup.py install for simple_knn did not run successfully.
│ exit code: 1
╰─> [67 lines of output]
No CUDA runtime is found, using CUDA_HOME='C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8'
running install
C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\setuptools\_distutils\cmd.py:66: SetuptoolsDep.
!!
********************************************************************************
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.
********************************************************************************
!!
self.initialize_options()
running build
running build_ext
C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\torch\utils\cpp_extension.py:411: UserWarning:.
warnings.warn(msg.format('we could not find ninja.'))
Traceback (most recent call last):
File "<string>", line 36, in <module>
File "<pip-setuptools-caller>", line 34, in <module>
File "C:\Users\ITAEC\Documents\Github\gaussian-splatting\submodules\simple-knn\setup.py", line 33, in <module>
'build_ext': BuildExtension
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\setuptools\__init__.py", line 103, in p
return distutils.core.setup(**attrs)
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\setuptools\_distutils\core.py", line 1p
return run_commands(dist)
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\setuptools\_distutils\core.py", line 2s
dist.run_commands()
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\setuptools\_distutils\dist.py", line 9s
self.run_command(cmd)
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\setuptools\dist.py", line 963, in run_d
super().run_command(command)
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\setuptools\_distutils\dist.py", line 9d
cmd_obj.run()
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\setuptools\command\install.py", line 7n
return orig.install.run(self)
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\setuptools\_distutils\command\install.n
self.run_command('build')
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\setuptools\_distutils\cmd.py", line 31d
self.distribution.run_command(command)
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\setuptools\dist.py", line 963, in run_d
super().run_command(command)
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\setuptools\_distutils\dist.py", line 9d
cmd_obj.run()
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\setuptools\_distutils\command\build.pyn
self.run_command(cmd_name)
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\setuptools\_distutils\cmd.py", line 31d
self.distribution.run_command(command)
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\setuptools\dist.py", line 963, in run_d
super().run_command(command)
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\setuptools\_distutils\dist.py", line 9d
cmd_obj.run()
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\setuptools\command\build_ext.py", linen
_build_ext.run(self)
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\setuptools\_distutils\command\build_exn
self.build_extensions()
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\torch\utils\cpp_extension.py", line 43s
self._check_cuda_version(compiler_name, compiler_version)
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\torch\utils\cpp_extension.py", line 80n
torch_cuda_version = packaging.version.parse(torch.version.cuda)
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\pkg_resources\_vendor\packaging\versioe
return Version(version)
File "C:\Users\ITAEC\anaconda3\envs\gaussian_splatting\lib\site-packages\pkg_resources\_vendor\packaging\versio_
match = self._regex.search(version)
TypeError: expected string or bytes-like object
[end of output]
note: This error originates from a subprocess, and is likely not a problem with pip.
error: legacy-install-failure
× Encountered error while trying to install package.
╰─> simple_knn
note: This is an issue with the package mentioned above, not pip.
hint: See above for output from the failure.
failed
CondaEnvException: Pip failed
from gaussian-splatting.
Hello,
Were you able to solve this issue?
from gaussian-splatting.
@Muhammad0312 I couldn't find a specific solution for this, but apparently, the documentation failed to mention that the CUDA SDK and pytorch CUDA have to have compatible versions. Additionally, someone also said that cudatoolkit
does not have complete features like cudatoolkit-dev
, so I downloaded that.
I don't really know if everyone is facing this problem, but some posts suggest that it might just be for people with RTX 4090 GPUs.
The only solution I found was not to create the conda environment with the environment.yml but just manually.
from gaussian-splatting.
@Muhammad0312
Here is my exported environment.yml. Try using this.
name: gs
channels:
- pytorch
- defaults
- conda-forge
dependencies:
- pip=23.3.1=py311haa95532_0
- python=3.11.8=he1021f5_0
- cudatoolkit-dev=11.7.0
- plyfile
- tqdm
- pip:
# doesn't seem to download and install on my environment
#- torch==2.2.2+cu118
#- torchaudio==2.2.2+cu118
#- torchvision==0.17.2+cu118
Then activate the conda environment and execute the command pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
After that, manually install diff-gaussian-rasterization
and simple_knn
.
BTW: My CUDA version is 11.8, but the torch CUDA is set to 11.7.
Also, note that if you do a regular pip install torch
and not pip install torch "version number" + cu118
it installs a CPU version of torch. (You can check for yourself by doing conda list and seeing py311_cpu
or py3.11_cpu_0
under the build category)
from gaussian-splatting.
Related Issues (20)
- ImportError: DLL load failed while importing _C: HOT 1
- Forward motion images in Autonomous Vehicle Datasets got bad results! HOT 3
- How can I prevent the generation of white background Gaussian during the training process?
- only 4 images selected by COLMAP as view directions optimized by 3dGS HOT 4
- Issue of Loading Gaussians for Fine-Tuning. HOT 3
- Error when training model,
- How can i rotate my model in SIBR gaussian viewer app? HOT 1
- Can I also receive training data for the pre-trained models?
- Using point cloud to seed gaussian splatting HOT 6
- How to input depth data HOT 1
- Where can I download the driving data sets you displayed?
- SIBR viewer cmake error on ubuntu 20.04
- [QUESTION] Limiting output size HOT 1
- How can i display multiple '.ply' files in SIBR gaussian viewer app together? HOT 1
- Problem of Real-Time Viewer HOT 4
- Training demonstration error: all gaussians have same sizes and shapes HOT 2
- refinement iteration - discrepancy from paper and potential bug
- Could I get transform matrix form Mip360 real world dataset?
- Will 16GB VRAM be ok? HOT 1
- Installation using isolated cuda toolkit binaries within the conda environment
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from gaussian-splatting.