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用户 LifeIsArtOfWar 补充了下载链接: Links for torch ,可以通过文件名查是否存在对应版本。
pytorch 与 torchvision 的对应关系 可以不用考虑,pytorch 官网安装命令的 pytorch 与 torchvision 几乎是一对一关系
cuda 和 cudatoolkit 版本版本命名相同 (1表示官网有安装命令,空未知)
cudatoolkit | torch 1.5 | torch 1.6 | torch 1.7 | torch 1.8 | torch 1.9 | torch 1.10 | torch 1.11 |
---|---|---|---|---|---|---|---|
9.2 | 1 | 1 | 1 | ||||
10.1 | 1 | 1 | 1 | 1 | |||
10.2 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
11.0 | 1 | ||||||
11.1 | 1 | 1 | 1 | ||||
11.3 | 1 | 1 | 1 | 1 |
cudatoolkit | 9.2 | 10.1 | 10.2 | 11.0 | 11.1 | 11.3 |
---|---|---|---|---|---|---|
torch 1.5 | 1 | 1 | 1 | |||
torch 1.6 | 1 | 1 | 1 | |||
torch 1.7 | 1 | 1 | 1 | 1 | ||
torch 1.8 | 1 | 1 | 1 | 1 | ||
torch 1.9 | 1 | 1 | 1 | |||
torch 1.10 | 1 | 1 | 1 | |||
torch 1.11 | 1 | 1 |
发现python与torch随意组合会出问题 (1则可行,0出过问题且未尝试解决,空未知)
python | 3.6 | 3.7 | 3.8 | 3.9 | 3.10 |
---|---|---|---|---|---|
torch 1.5 | 1 | ||||
torch 1.6 | 1 | 1 | |||
torch 1.7 | 1 | 1 | 1 | ||
torch 1.8 | 1 | 1 | |||
torch 1.9 | 0 | 1 | |||
torch 1.10 | 1 | 0 | |||
torch 1.11 | 1 | 1 | |||
torch 1.12 | 1 | 1 |
python2 停更了
时间 | python3 | torch |
---|---|---|
2018-06-27 | 3.7 | |
2019-10-14 | 3.8 | |
2020-10-05 | 3.9 | |
2020-10-28 | 1.7 | |
2021-06-16 | 1.9 | |
2021-10-04 | 3.10 | |
2021-10-21 | 1.10 | |
2022-03-11 | 1.11 | |
2023-06-27 | 3.7 End | |
2024-10 | 3.8 End | |
2025-10 | 3.9 End | |
2026-10 | 3.10 End |
conda create -n py36_torch15_cuda92 python=3.6
conda activate py36_torch15_cuda92
conda install pytorch==1.5.1 torchvision==0.6.1 cudatoolkit=9.2 -c pytorch
conda create -n py36_torch15_cuda101 python=3.6
conda activate py36_torch15_cuda101
conda install pytorch==1.5.1 torchvision==0.6.1 cudatoolkit=10.1 -c pytorch
conda create -n py36_torch15_cuda102 python=3.6
conda activate py36_torch15_cuda102
conda install pytorch==1.5.1 torchvision==0.6.1 cudatoolkit=10.2 -c pytorch
conda create -n py38_torch16_cuda92 python=3.8
conda activate py38_torch16_cuda92
conda install pytorch==1.6.0 torchvision==0.7.0 cudatoolkit=9.2 -c pytorch
conda create -n py38_torch16_cuda101 python=3.8
conda activate py38_torch16_cuda101
conda install pytorch==1.6.0 torchvision==0.7.0 cudatoolkit=10.1 -c pytorch
conda create -n py38_torch16_cuda102 python=3.8
conda activate py38_torch16_cuda102
conda install pytorch==1.6.0 torchvision==0.7.0 cudatoolkit=10.2 -c pytorch
conda create -n py38_torch17_cuda92 python=3.8
conda activate py38_torch17_cuda92
conda install pytorch==1.7.1 torchvision==0.8.2 torchaudio==0.7.2 cudatoolkit=9.2 -c pytorch
conda create -n py38_torch17_cuda101 python=3.8
conda activate py38_torch17_cuda101
conda install pytorch==1.7.1 torchvision==0.8.2 torchaudio==0.7.2 cudatoolkit=10.1 -c pytorch
conda create -n py38_torch17_cuda102 python=3.8
conda activate py38_torch17_cuda102
conda install pytorch==1.7.1 torchvision==0.8.2 torchaudio==0.7.2 cudatoolkit=10.2 -c pytorch
conda create -n py38_torch17_cuda110 python=3.8
conda activate py38_torch17_cuda110
conda install pytorch==1.7.1 torchvision==0.8.2 torchaudio==0.7.2 cudatoolkit=11.0 -c pytorch
conda create -n py39_torch18_cuda102 python=3.9
conda activate py39_torch18_cuda102
conda install pytorch==1.8.1 torchvision==0.9.1 torchaudio==0.8.1 cudatoolkit=10.2 -c pytorch
conda create -n py39_torch18_cuda113 python=3.9
conda activate py39_torch18_cuda113
conda install pytorch==1.8.1 torchvision==0.9.1 torchaudio==0.8.1 cudatoolkit=11.3 -c pytorch -c conda-forge
conda create -n py39_torch19_cuda102 python=3.9
conda activate py39_torch19_cuda102
conda install pytorch==1.9.1 torchvision==0.10.1 torchaudio==0.9.1 cudatoolkit=10.2 -c pytorch
conda create -n py39_torch19_cuda113 python=3.9
conda activate py39_torch19_cuda113
conda install pytorch==1.9.1 torchvision==0.10.1 torchaudio==0.9.1 cudatoolkit=11.3 -c pytorch -c conda-forge
conda create -n py39_torch110_cuda102 python=3.9
conda activate py39_torch110_cuda102
conda install pytorch==1.10.1 torchvision==0.11.2 torchaudio==0.10.1 cudatoolkit=10.2 -c pytorch
conda create -n py39_torch110_cuda113 python=3.9
conda activate py39_torch110_cuda113
conda install pytorch==1.10.1 torchvision==0.11.2 torchaudio==0.10.1 cudatoolkit=11.3 -c pytorch -c conda-forge
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