Open Ericgone opened 3 weeks ago
For this project, the version of cudatoolkit-dev that matches the specified PyTorch and CUDA versions is cudatoolkit-dev=11.8.
Here are the updated installation instructions:
conda create -n pixelgs python=3.9 -y
conda install pytorch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 pytorch-cuda=11.8 -c pytorch -c nvidia
conda install -c nvidia cudatoolkit-dev=11.8
pip install -r requirements.txt
cd submodules pip install ./diff-gaussian-rasterization pip install ./simple-knn
For this project, the version of cudatoolkit-dev that matches the specified PyTorch and CUDA versions is cudatoolkit-dev=11.8.
Here are the updated installation instructions:
conda create -n pixelgs python=3.9 -y
conda install pytorch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 pytorch-cuda=11.8 -c pytorch -c nvidia
conda install -c nvidia cudatoolkit-dev=11.8
pip install -r requirements.txt
cd submodules pip install ./diff-gaussian-rasterization pip install ./simple-knn
thanks very much for your prompt reply. but the command "conda install -c nvidia cudatoolkit-dev=11.8" still doesn't work since the package 11.8 was not found. you can try the command to see if it works by creating a anaconda virtual environment. I guess you will encounter with the same problem. best,
Below is the environment.yml file:
name: pixelgs
channels:
- pytorch
- nvidia
- conda-forge
- defaults
dependencies:
- python=3.9
- cudatoolkit=11.8
- pip
- pytorch=2.0.1
- torchaudio=2.0.2
- torchvision=0.15.2
- tqdm
- plyfile=0.8.1
- GPUtil
- pip:
- submodules/diff-gaussian-rasterization
- submodules/simple-knn
You can try using the following commands to set up the environment:
conda env create --file environment.yml
conda activate pixelgs
Hi,
thanks for you greak work. but your installation instructions doesn't include installing cudatoolkit-dev. I wonder if it was mistakenly excluded by you. If yes, which version matches your project? best,