Error installation of diff-gaussian-rasterization and found solution

[gamug94]

I followed the README and the video at https://www.youtube.com/watch?v=UXtuigy_wYc but i fell in a slump for a few hours due to persistent errors in installing as suggested. As many others pointed out when running the command conda env create --file environment.yml I ran into several errors related to the diff-gaussian-rasterization such as module not found or errors in building the wheel when trying alternatives. After many hours trying to figure them out and looking online I found these two comments 1) #317by ishipachev and 2) as a reply to #297 by wgcban which combined gave me part of the solution to my problem. Since it may help others in the same situation I am posting the solution that I found as follows:

PREPARATION (Windows11 with rtx3090) installed git (as readme) installed conda (as readme) installed visual studio 2019 community (selecting the "Desktop Development with C++") installed Cuda toolkit v.11.7 from the Nvidia website installed COLMAP (as readme) installed ImageMagik (as readme) installed FFMPEG (as readme)

I git cloned the gaussian-splatting repository to a location of choice by opening cmd to the folder that I wanted to use then ran git clone https://github.com/graphdeco-inria/gaussian-splatting --recursive

CONDA ENVIRONMENT I created the environment in conda using: conda create -n gaussian_splatting python=3.7 activated the environment conda activate gaussian_splatting I then installed the dependencies step by step conda install pytorch==1.13.1 torchvision==0.14.1 torchaudio==0.13.1 pytorch-cuda=11.7 -c pytorch -c nvidia I changed directory to the directory where I cloned the repository with cd then I ran pip install submodules/diff-gaussian-rasterization and pip install submodules/simple-knn also I had to install manually the plyfile with pip install plyfile and tqdm with pip install tqdm

And that's it. I could keep on following the tutorial and avoid the error when running python train.py P.S. do not run the conda env create --file environment.yml or it breaks

I believe that the reason is as ishipachev pointed out in his post that the environment.yml using cudatoolkit=11.6 along with cudatoolkit v11.8 could be the source of the errors and should be made more clear in the readme or tutorial which version of each dependency is needed. (But since other people are running it without problem, it may be fine and "only a few users' problem IDK") I am new to this so please take my advice with a pinch of salt.

[MurtazaSFakhry]

Thanks a lot for this. It worked! But still I am stuck in the next step. It says its 'out of memory'

[gamug94]

You're welcome. I am glad that it helped someone!

I don't understand exactly where you are stuck. Could it be that you are trying to run it on a gpu with not enough VRAM for the data that you are feeding the program with? The Readme says:

OPTIMIZER The optimizer uses PyTorch and CUDA extensions in a Python environment to produce trained models.

Hardware Requirements CUDA-ready GPU with Compute Capability 7.0+ 24 GB VRAM (to train to paper evaluation quality) Please see FAQ for smaller VRAM configurations

The FAQ explains how to deal with smaller VRAM configurations

I don't have 24 GB of VRAM for training, what do I do? The VRAM consumption is determined by the number of points that are being optimized, which increases over time. If you only want to train to 7k iterations, you will need significantly less. To do the full training routine and avoid running out of memory, you can increase the --densify_grad_threshold, --densification_interval or reduce the value of --densify_until_iter. Note however that this will affect the quality of the result. Also try setting --test_iterations to -1 to avoid memory spikes during testing. If --densify_grad_threshold is very high, no densification should occur and training should complete if the scene itself loads successfully.

24 GB of VRAM for reference quality training is still a lot! Can't we do it with less? Yes, most likely. By our calculations it should be possible with way less memory (~8GB). If we can find the time we will try to achieve this. If some PyTorch veteran out there wants to tackle this, we look forward to your pull request!

I am using a 24GB VRAM GPU and I did not face this problem, so I can't say for sure what is the problem. Maybe you could try again with smaller and/or fewer input photos.

[iiijasdf]

For someone who still struggling with building wheels for the submodules, I found this post which may help: https://github.com/NVlabs/tiny-cuda-nn/issues/280#issuecomment-1478703676. This post helped me solve the issue "host_config.h cannot find crtdefs.h", I also installed ninja FYI.

[K2Infinity]

Thanks for sharing, got it from your experience

[luhdome]

everything works for me up until installing submodules, it gives me: ImportError: DLL load failed: %1 is not a valid Win32 application.

[gamug94]

everything works for me up until installing submodules, it gives me: ImportError: DLL load failed: %1 is not a valid Win32 application.

Did you open the terminal or change directory to run the command to install the submodules while inside the "gaussian-splatting" folder? Could you be a little more detailed on the error and the command that you ran?

[ChinaShrimp]

After half-day struggling, I setup the env and record the steps here for further reference:

My environment:

• Win10
• Nvidia 3080 16G
• vs2019

# create the conda environment
conda create -n gaussian_splatting python=3.10
conda activate gaussian_splatting
# make sure conda ready to find where vs2019: https://github.com/graphdeco-inria/gaussian-splatting/issues/237
conda install -c anaconda vs2019_win-64
# install pytorch, it really depends on which cuda sdk version you installed, pls following the link to get the right version
pip install torch==2.0.0+cu118 torchvision==0.15.0+cu118 torchaudio==2.0.0+cu118 -f https://download.pytorch.org/whl/torch_stable.html
SET DISTUTILS_USE_SDK=1
pip install submodules\diff-gaussian-rasterization
pip install submodules\simple-knn
pip install plyfile
pip install tqdm

[alch-x]

Combining the solution from @iiijasdf and @gamug94 finally worked for me.

My configuration: Winserver2019 ,VS2022, CUDA_HOME=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8

solution part1 solution part2

(open a new prompt window after solution part2 if it still not work. In my case it's like part1->error->part2->error->open new prompt window->redo part1->solved)

[qn757275373]

good!

[nocnestudio]

You are the best. It's working THX

[nocnestudio]

I followed the README and the video at https://www.youtube.com/watch?v=UXtuigy_wYc but i fell in a slump for a few hours due to persistent errors in installing as suggested. As many others pointed out when running the command conda env create --file environment.yml I ran into several errors related to the diff-gaussian-rasterization such as module not found or errors in building the wheel when trying alternatives. After many hours trying to figure them out and looking online I found these two comments 1) #317by ishipachev and 2) as a reply to #297 by wgcban which combined gave me part of the solution to my problem. Since it may help others in the same situation I am posting the solution that I found as follows:

PREPARATION (Windows11 with rtx3090) installed git (as readme) installed conda (as readme) installed visual studio 2019 community (selecting the "Desktop Development with C++") installed Cuda toolkit v.11.7 from the Nvidia website installed COLMAP (as readme) installed ImageMagik (as readme) installed FFMPEG (as readme)

I git cloned the gaussian-splatting repository to a location of choice by opening cmd to the folder that I wanted to use then ran git clone https://github.com/graphdeco-inria/gaussian-splatting --recursive

CONDA ENVIRONMENT I created the environment in conda using: conda create -n gaussian_splatting python=3.7 activated the environment conda activate gaussian_splatting I then installed the dependencies step by step conda install pytorch==1.13.1 torchvision==0.14.1 torchaudio==0.13.1 pytorch-cuda=11.7 -c pytorch -c nvidia I changed directory to the directory where I cloned the repository with cd then I ran pip install submodules/diff-gaussian-rasterization and pip install submodules/simple-knn also I had to install manually the plyfile with pip install plyfile and tqdm with pip install tqdm

And that's it. I could keep on following the tutorial and avoid the error when running python train.py P.S. do not run the conda env create --file environment.yml or it breaks

I believe that the reason is as ishipachev pointed out in his post that the environment.yml using cudatoolkit=11.6 along with cudatoolkit v11.8 could be the source of the errors and should be made more clear in the readme or tutorial which version of each dependency is needed. (But since other people are running it without problem, it may be fine and "only a few users' problem IDK") I am new to this so please take my advice with a pinch of salt.

You are the best. It's working THX

[pjafary]

Hi all I am trying to run GS on Ubuntu 22 and when I run

conda env create --file environment.yml

I get the same error as #373. When i try commands given by @gamug94 everything goes well until I run

pip install submodules/diff-gaussian-rasterization

which gives me a bunch of errors as follows:

Building wheel for diff-gaussian-rasterization (setup.py) ... error
  error: subprocess-exited-with-error
  
  × python setup.py bdist_wheel did not run successfully.
  │ exit code: 1
  ╰─> [55 lines of output]

and

 RuntimeError:
      The detected CUDA version (12.3) mismatches the version that was used to compile
      PyTorch (11.7). Please make sure to use the same CUDA versions.
      
      [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
  Running setup.py clean for diff-gaussian-rasterization
Failed to build diff-gaussian-rasterization
Installing collected packages: diff-gaussian-rasterization
  Running setup.py install for diff-gaussian-rasterization ... error
  error: subprocess-exited-with-error
  
  × Running setup.py install for diff-gaussian-rasterization did not run successfully.
  │ exit code: 1
  ╰─> [59 lines of output]
      running install

and finally

RuntimeError:
      The detected CUDA version (12.3) mismatches the version that was used to compile
      PyTorch (11.7). Please make sure to use the same CUDA versions.
      
      [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.
╰─> diff-gaussian-rasterization

I have tried everything I could think of, still no luck, Do I have to downgrade CUDA for this? I would appreciate any suggestions

[gamug94]

Yeah, I think you should try with CUDA11.7, since that is the version that I used in this workaround.(11.8 was giving me problems at the time) There is stuff that is incompatible with CUDA12.X but compatible with 11.X versions. That being said it's been 5months so maybe now there are also other ways to do this not available at that time, but it should still work with 11.7.

[YimjuneLiu]

Hi, I also trying this on Ubuntu 22.04, and the terminator show after I run pip install submodules/diff-gaussian-rasterization/:

  error: subprocess-exited-with-error
  
  × python setup.py bdist_wheel did not run successfully.
  │ exit code: 1
  ╰─> [48 lines of output]
      Traceback (most recent call last):
        File "<string>", line 36, in <module>
        File "<pip-setuptools-caller>", line 34, in <module>
        File "/home/zdhc/Documents/thesis_code/gaussian-splatting/submodules/diff-gaussian-rasterization/setup.py", line 32, in <module>
          'build_ext': BuildExtension

And, I don't know how to solve this problem.

• Ubuntu also need to set Visual Studio 2022 for the problem ?

Thanks!

[cyanboros]

I followed the README and the video at https://www.youtube.com/watch?v=UXtuigy_wYc but i fell in a slump for a few hours due to persistent errors in installing as suggested. As many others pointed out when running the command conda env create --file environment.yml I ran into several errors related to the diff-gaussian-rasterization such as module not found or errors in building the wheel when trying alternatives. After many hours trying to figure them out and looking online I found these two comments 1) #317by ishipachev and 2) as a reply to #297 by wgcban which combined gave me part of the solution to my problem. Since it may help others in the same situation I am posting the solution that I found as follows:

PREPARATION (Windows11 with rtx3090) installed git (as readme) installed conda (as readme) installed visual studio 2019 community (selecting the "Desktop Development with C++") installed Cuda toolkit v.11.7 from the Nvidia website installed COLMAP (as readme) installed ImageMagik (as readme) installed FFMPEG (as readme)

I git cloned the gaussian-splatting repository to a location of choice by opening cmd to the folder that I wanted to use then ran git clone https://github.com/graphdeco-inria/gaussian-splatting --recursive

CONDA ENVIRONMENT I created the environment in conda using: conda create -n gaussian_splatting python=3.7 activated the environment conda activate gaussian_splatting I then installed the dependencies step by step conda install pytorch==1.13.1 torchvision==0.14.1 torchaudio==0.13.1 pytorch-cuda=11.7 -c pytorch -c nvidia I changed directory to the directory where I cloned the repository with cd then I ran pip install submodules/diff-gaussian-rasterization and pip install submodules/simple-knn also I had to install manually the plyfile with pip install plyfile and tqdm with pip install tqdm

And that's it. I could keep on following the tutorial and avoid the error when running python train.py P.S. do not run the conda env create --file environment.yml or it breaks

I believe that the reason is as ishipachev pointed out in his post that the environment.yml using cudatoolkit=11.6 along with cudatoolkit v11.8 could be the source of the errors and should be made more clear in the readme or tutorial which version of each dependency is needed. (But since other people are running it without problem, it may be fine and "only a few users' problem IDK") I am new to this so please take my advice with a pinch of salt.

Fllow #297 I met error

C:\Users\CyanBoros\source\repos\gaussian-splatting>python train.py -s data -m data/output  
Traceback (most recent call last):  
File "C:\Users\CyanBoros\source\repos\gaussian-splatting\train.py", line 16, in  
from gaussian_renderer import render, network_gui  
File "C:\Users\CyanBoros\source\repos\gaussian-splatting\gaussian_renderer\__init__.py", line 14, in  
from diff_gaussian_rasterization import GaussianRasterizationSettings, GaussianRasterizer  
File "C:\Users\CyanBoros\.conda\envs\gaussian_splatting\Lib\site-packages\diff_gaussian_rasterization__init__.py", line 15, in  
from . import _C  
ImportError: DLL load failed while importing _C: The specified program cannot be found.

But the problem disappered when I follow your tutorial step by step!

Thanks!

[Yo1up]

I am currently running Ubuntu Server 22.04 with CUDA 11.7 in an anaconda environment and encountering this same issue. none of the suggested fixes appear to work.

when attempting to install both simple-knn, and diff-gaussian-rasterization, it errors as follows

pip install submodules/diff-gaussian-rasterization
Processing ./submodules/diff-gaussian-rasterization
  Preparing metadata (setup.py) ... done
Building wheels for collected packages: diff-gaussian-rasterization
  Building wheel for diff-gaussian-rasterization (setup.py) ... error
  error: subprocess-exited-with-error

  × python setup.py bdist_wheel did not run successfully.
  │ exit code: 1
  ╰─> [72 lines of output]
      /home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/torch/cuda/__init__.py:88: UserWarning: CUDA initialization: Unexpected error from cudaGetDeviceCount(). Did you run some cuda functions before calling NumCudaDevices() that might have already set an error? Error 804: forward compatibility was attempted on non supported HW (Triggered internally at /opt/conda/conda-bld/pytorch_1670525541035/work/c10/cuda/CUDAFunctions.cpp:109.)
        return torch._C._cuda_getDeviceCount() > 0
      No CUDA runtime is found, using CUDA_HOME='/usr'
      running bdist_wheel
      running build
      running build_py
      creating build
      creating build/lib.linux-x86_64-cpython-37
      creating build/lib.linux-x86_64-cpython-37/diff_gaussian_rasterization
      copying diff_gaussian_rasterization/__init__.py -> build/lib.linux-x86_64-cpython-37/diff_gaussian_rasterization
      running build_ext
      /home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/torch/utils/cpp_extension.py:387: UserWarning: The detected CUDA version (11.5) has a minor version mismatch with the version that was used to compile PyTorch (11.7). Most likely this shouldn't be a problem.
        warnings.warn(CUDA_MISMATCH_WARN.format(cuda_str_version, torch.version.cuda))
      building 'diff_gaussian_rasterization._C' extension
      creating /home/yolup/gaussian-splatting/submodules/diff-gaussian-rasterization/build/temp.linux-x86_64-cpython-37
      creating /home/yolup/gaussian-splatting/submodules/diff-gaussian-rasterization/build/temp.linux-x86_64-cpython-37/cuda_rasterizer
      /home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/torch/cuda/__init__.py:497: UserWarning: Can't initialize NVML
        warnings.warn("Can't initialize NVML")
      Traceback (most recent call last):
        File "<string>", line 36, in <module>
        File "<pip-setuptools-caller>", line 34, in <module>
        File "/home/yolup/gaussian-splatting/submodules/diff-gaussian-rasterization/setup.py", line 32, in <module>
          'build_ext': BuildExtension
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/setuptools/__init__.py", line 87, in setup
          return distutils.core.setup(**attrs)
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/setuptools/_distutils/core.py", line 185, in setup
          return run_commands(dist)
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/setuptools/_distutils/core.py", line 201, in run_commands
          dist.run_commands()
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/setuptools/_distutils/dist.py", line 969, in run_commands
          self.run_command(cmd)
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/setuptools/dist.py", line 1208, in run_command
          super().run_command(command)
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/setuptools/_distutils/dist.py", line 988, in run_command
          cmd_obj.run()
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/wheel/bdist_wheel.py", line 325, in run
          self.run_command("build")
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/setuptools/_distutils/cmd.py", line 318, in run_command
          self.distribution.run_command(command)
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/setuptools/dist.py", line 1208, in run_command
          super().run_command(command)
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/setuptools/_distutils/dist.py", line 988, in run_command
          cmd_obj.run()
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/setuptools/_distutils/command/build.py", line 132, in run
          self.run_command(cmd_name)
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/setuptools/_distutils/cmd.py", line 318, in run_command
          self.distribution.run_command(command)
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/setuptools/dist.py", line 1208, in run_command
          super().run_command(command)
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/setuptools/_distutils/dist.py", line 988, in run_command
          cmd_obj.run()
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/setuptools/command/build_ext.py", line 84, in run
          _build_ext.run(self)
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/setuptools/_distutils/command/build_ext.py", line 346, in run
          self.build_extensions()
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/torch/utils/cpp_extension.py", line 843, in build_extensions
          build_ext.build_extensions(self)
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/setuptools/_distutils/command/build_ext.py", line 468, in build_extensions
          self._build_extensions_serial()
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/setuptools/_distutils/command/build_ext.py", line 494, in _build_extensions_serial
          self.build_extension(ext)
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/setuptools/command/build_ext.py", line 246, in build_extension
          _build_ext.build_extension(self, ext)
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/setuptools/_distutils/command/build_ext.py", line 556, in build_extension
          depends=ext.depends,
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/torch/utils/cpp_extension.py", line 649, in unix_wrap_ninja_compile
          cuda_post_cflags = unix_cuda_flags(cuda_post_cflags)
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/torch/utils/cpp_extension.py", line 548, in unix_cuda_flags
          cflags + _get_cuda_arch_flags(cflags))
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/torch/utils/cpp_extension.py", line 1780, in _get_cuda_arch_flags
          arch_list[-1] += '+PTX'
      IndexError: list index out of range
      [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
  Running setup.py clean for diff-gaussian-rasterization
Failed to build diff-gaussian-rasterization
Installing collected packages: diff-gaussian-rasterization
  Running setup.py install for diff-gaussian-rasterization ... error
  error: subprocess-exited-with-error

  × Running setup.py install for diff-gaussian-rasterization did not run successfully.
  │ exit code: 1
  ╰─> [76 lines of output]
      /home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/torch/cuda/__init__.py:88: UserWarning: CUDA initialization: Unexpected error from cudaGetDeviceCount(). Did you run some cuda functions before calling NumCudaDevices() that might have already set an error? Error 804: forward compatibility was attempted on non supported HW (Triggered internally at /opt/conda/conda-bld/pytorch_1670525541035/work/c10/cuda/CUDAFunctions.cpp:109.)
        return torch._C._cuda_getDeviceCount() > 0
      No CUDA runtime is found, using CUDA_HOME='/usr'
      running install
      /home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/setuptools/command/install.py:37: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools.
        setuptools.SetuptoolsDeprecationWarning,
      running build
      running build_py
      creating build
      creating build/lib.linux-x86_64-cpython-37
      creating build/lib.linux-x86_64-cpython-37/diff_gaussian_rasterization
      copying diff_gaussian_rasterization/__init__.py -> build/lib.linux-x86_64-cpython-37/diff_gaussian_rasterization
      running build_ext
      /home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/torch/utils/cpp_extension.py:387: UserWarning: The detected CUDA version (11.5) has a minor version mismatch with the version that was used to compile PyTorch (11.7). Most likely this shouldn't be a problem.
        warnings.warn(CUDA_MISMATCH_WARN.format(cuda_str_version, torch.version.cuda))
      building 'diff_gaussian_rasterization._C' extension
      creating /home/yolup/gaussian-splatting/submodules/diff-gaussian-rasterization/build/temp.linux-x86_64-cpython-37
      creating /home/yolup/gaussian-splatting/submodules/diff-gaussian-rasterization/build/temp.linux-x86_64-cpython-37/cuda_rasterizer
      /home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/torch/cuda/__init__.py:497: UserWarning: Can't initialize NVML
        warnings.warn("Can't initialize NVML")
      Traceback (most recent call last):
        File "<string>", line 36, in <module>
        File "<pip-setuptools-caller>", line 34, in <module>
        File "/home/yolup/gaussian-splatting/submodules/diff-gaussian-rasterization/setup.py", line 32, in <module>
          'build_ext': BuildExtension
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/setuptools/__init__.py", line 87, in setup
          return distutils.core.setup(**attrs)
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/setuptools/_distutils/core.py", line 185, in setup
          return run_commands(dist)
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/setuptools/_distutils/core.py", line 201, in run_commands
          dist.run_commands()
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/setuptools/_distutils/dist.py", line 969, in run_commands
          self.run_command(cmd)
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/setuptools/dist.py", line 1208, in run_command
          super().run_command(command)
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/setuptools/_distutils/dist.py", line 988, in run_command
          cmd_obj.run()
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/setuptools/command/install.py", line 68, in run
          return orig.install.run(self)
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/setuptools/_distutils/command/install.py", line 698, in run
          self.run_command('build')
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/setuptools/_distutils/cmd.py", line 318, in run_command
          self.distribution.run_command(command)
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/setuptools/dist.py", line 1208, in run_command
          super().run_command(command)
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/setuptools/_distutils/dist.py", line 988, in run_command
          cmd_obj.run()
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/setuptools/_distutils/command/build.py", line 132, in run
          self.run_command(cmd_name)
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/setuptools/_distutils/cmd.py", line 318, in run_command
          self.distribution.run_command(command)
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/setuptools/dist.py", line 1208, in run_command
          super().run_command(command)
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/setuptools/_distutils/dist.py", line 988, in run_command
          cmd_obj.run()
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/setuptools/command/build_ext.py", line 84, in run
          _build_ext.run(self)
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/setuptools/_distutils/command/build_ext.py", line 346, in run
          self.build_extensions()
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/torch/utils/cpp_extension.py", line 843, in build_extensions
          build_ext.build_extensions(self)
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/setuptools/_distutils/command/build_ext.py", line 468, in build_extensions
          self._build_extensions_serial()
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/setuptools/_distutils/command/build_ext.py", line 494, in _build_extensions_serial
          self.build_extension(ext)
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/setuptools/command/build_ext.py", line 246, in build_extension
          _build_ext.build_extension(self, ext)
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/setuptools/_distutils/command/build_ext.py", line 556, in build_extension
          depends=ext.depends,
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/torch/utils/cpp_extension.py", line 649, in unix_wrap_ninja_compile
          cuda_post_cflags = unix_cuda_flags(cuda_post_cflags)
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/torch/utils/cpp_extension.py", line 548, in unix_cuda_flags
          cflags + _get_cuda_arch_flags(cflags))
        File "/home/yolup/anaconda3/envs/gaussian_splatting/lib/python3.7/site-packages/torch/utils/cpp_extension.py", line 1780, in _get_cuda_arch_flags
          arch_list[-1] += '+PTX'
      IndexError: list index out of range
      [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.
╰─> diff-gaussian-rasterization

note: This is an issue with the package mentioned above, not pip.
hint: See above for output from the failure.

both installations error in exactly the same way.

[gamug94]

I don't know much about Ubuntu, I'm sorry.

However, from your error message it seems that your system is using CUDA 11.5. If you have both versions installed, you should check that your system is using 11.7 for this process. Also the error states: "UserWarning: CUDA initialization: Unexpected error from cudaGetDeviceCount()"

Are you using a GPU that supports cuda 11.7? (A recent Nvidia GPU)