- https://www.anaconda.com/download
- Make sure Python 3.8-3.11 is installed (Compatibility to PyTorch)
python --version
- Install CUDA: https://anaconda.org/nvidia/cuda
conda install -c "nvidia/label/cuda-11.8.0" cuda
- Install PyTorch: https://pytorch.org/get-started/locally
conda install pytorch torchvision torchaudio pytorch-cuda=11.8 -c pytorch -c nvidia
- NodeJS (For fixing server errors)
conda install -c conda-forge nodejs
- scikit-learn
conda install -c anaconda scikit-learn
- datasets
conda install -c conda-forge datasets
- torchtext
conda install -c pytorch torchtext
- Jupyer Lab
jupyter lab
- Or Jupyter Notebook
jupyter notebook
- Check within Anaconda Prompt:
nvidia-smi
- Or within notebook:
torch.cuda.is_available()
- Update conda package manage
conda update conda
- Update Anaconda
conda update anaconda
- Jupyter Lab
conda update jupyterlab
- List revisions
conda list --revisions
- Install Revision REVNUM
conda install --revision REVNUM
Note: conda install --rev 0 will remove your root environment and the conda command!
- Removing
conda remove PACKAGE
- Full Reset
conda install anaconda-clean
anaconda-clean --yes
- Backup / Restore
conda env export --name base --file base_environment.yml
conda env create --name new_base --file base_environment.yml