pytorch官网:https://pytorch.org/get-started/locally/
conda添加清华源:
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/
conda config --set show_channel_urls yes
添加第三方源:
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/msys2/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/bioconda/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/menpo/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/
创建环境:
conda create -n torch_env python==3.7
conda activate torch_env
下载(版本官网有对应,去掉-c pytorch)
conda install pytorch==1.1.0 torchvision==0.3.0 cudatoolkit=9.0
测试:
from __future__ import print_function
import torch
x = torch.rand(5, 3)
print(x)
测试gpu:
import torch
torch.cuda.is_available()