https://en.wikipedia.org/wiki/CUDA
https://developer.nvidia.com/cuda-toolkit-archive
https://docs.nvidia.com/deploy/cuda-compatibility/index.html#binary-compatibility__table-toolkit-driver
include, lib, bin에 복사.conda create -n bori python=3.10PyTorch 설치:
(conda 더 안정적) conda 환경에서는 Python 3.10 ≤ 권장
python=3.10
windows, linux
conda install pytorch==2.0.0 torchvision==0.15.0 torchaudio==2.0.0 pytorch-cuda=11.8 -c pytorch -c nvidia
osx
conda install pytorch==2.0.0 torchvision==0.15.0 torchaudio==2.0.0 -c pytorch
pip install torch==2.0.0 torchvision==0.15.1 torchaudio==2.0.1 --index-url https://download.pytorch.org/whl/cu118Python 3.11 환경이 꼭 필요하다면
pip로 설치하는 것이 더 안전