Pytorch 版本对应关系表

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Offical Web: https://pytorch.org/get-started/locally/

torch and torchaudio 版本对应表

https://wenku.baidu.com/view/99163a4cac1ffc4ffe4733687e21af45b307fe04.html

Torch : TorchVision 版本

torch	torchvision	python	cuda
1.11.??
1.10.2	0.11.3	>=3.7 <=3.9
1.10.1	0.11.2	>=3.6 <=3.9	111
1.10.0	0.11.1	>=3.6 <=3.9
1.9.1	0.10.1	>=3.6 <=3.9
1.9.0	0.10.0	>=3.6 <=3.9
1.8.2	0.9.2	>=3.6 <=3.9
1.8.1	0.9.1	>=3.6 <=3.9
1.8.0	0.9.0	>=3.6 <=3.9
1.7.1	0.8.1	>=3.6 <=3.9	9.2
1.7.0	0.8.0	>=3.6 <=3.8
1.6.0	0.7.0	>=3.6 <=3.8
1.5.1	0.6.1	>=3.6 <=3.8	9.2, 10.1,10.2
1.5.0	0.6.0	>=3.6 <=3.8	9.2, 10.1,10.2
1.4.0	0.5.0	==2.7, >=3.5, <=3.8	9.2, 10.0
1.3.1	0.4.2	==2.7, >=3.5, <=3.7	9.2, 10.0
1.3.0	0.4.1	==2.7, >=3.5, <=3.7	9.2, 10.0
1.2.0	0.4.0	==2.7, >=3.5, <=3.7	9.2, 10.0
1.1.0	0.3.0	==2.7, >=3.5, <=3.7	9.0, 10.0
<1.0.1	0.2.2	==2.7, >=3.5, <=3.7	9.0, 10.0

安装命令：

# CUDA 10.0
conda install pytorch==1.4.0 torchvision==0.5.0 cudatoolkit=10.0 -c pytorch
# CUDA 10.1
conda install pytorch==1.4.0 torchvision==0.5.0 cudatoolkit=10.1 -c pytorch

下载地址

• https://download.pytorch.org/whl/cpu/torch_stable.html # CPU-only build
• https://download.pytorch.org/whl/cu80/torch_stable.html # CUDA 8.0 build
• https://download.pytorch.org/whl/cu90/torch_stable.html # CUDA 9.0 build
• https://download.pytorch.org/whl/cu92/torch_stable.html # CUDA 9.2 build
• https://download.pytorch.org/whl/cu100/torch_stable.html # CUDA 10.0 build

​ 最大torch-1.4.0 cu100