原网页https://pytorch.org/get-started/previous-versions/

因为有时访问该网站比较慢，所以本博客记录该网页内容

Installing previous versions of PyTorch

We’d prefer you install the latest version, but old binaries and installation instructions are provided below for your convenience.

Commands for Versions >= 1.0.0

v1.13.1

Conda

OSX

# conda

conda install pytorch==1.13.1 torchvision==0.14.1 torchaudio==0.13.1 -c pytorch

Linux and Windows

# CUDA 11.6

conda install pytorch==1.13.1 torchvision==0.14.1 torchaudio==0.13.1 pytorch-cuda=11.6 -c pytorch -c nvidia

# CUDA 11.7

conda install pytorch==1.13.1 torchvision==0.14.1 torchaudio==0.13.1 pytorch-cuda=11.7 -c pytorch -c nvidia

# CPU Only

conda install pytorch==1.13.1 torchvision==0.14.1 torchaudio==0.13.1 cpuonly -c pytorch

Wheel

OSX

pip install torch==1.13.1 torchvision==0.14.1 torchaudio==0.13.1

Linux and Windows

# ROCM 5.2 (Linux only)

pip3 install torch torchvision torchaudio --extra-index-url

pip install torch==1.13.1+rocm5.2 torchvision==0.14.1+rocm5.2 torchaudio==0.13.1 --extra-index-url https://download.pytorch.org/whl/rocm5.2

# CUDA 11.6

pip install torch==1.13.1+cu116 torchvision==0.14.1+cu116 torchaudio==0.13.1 --extra-index-url https://download.pytorch.org/whl/cu116

# CUDA 11.7

pip install torch==1.13.1+cu117 torchvision==0.14.1+cu117 torchaudio==0.13.1 --extra-index-url https://download.pytorch.org/whl/cu117

# CPU only

pip install torch==1.13.1+cpu torchvision==0.14.1+cpu torchaudio==0.13.1 --extra-index-url https://download.pytorch.org/whl/cpu

v1.13.0

Conda

OSX

# conda

conda install pytorch==1.13.0 torchvision==0.14.0 torchaudio==0.13.0 -c pytorch

Linux and Windows

# CUDA 11.6

conda install pytorch==1.13.0 torchvision==0.14.0 torchaudio==0.13.0 pytorch-cuda=11.6 -c pytorch -c nvidia

# CUDA 11.7

conda install pytorch==1.13.0 torchvision==0.14.0 torchaudio==0.13.0 pytorch-cuda=11.7 -c pytorch -c nvidia

# CPU Only

conda install pytorch==1.13.0 torchvision==0.14.0 torchaudio==0.13.0 cpuonly -c pytorch

Wheel

OSX

pip install torch==1.13.0 torchvision==0.14.0 torchaudio==0.13.0

Linux and Windows

# ROCM 5.2 (Linux only)

pip3 install torch torchvision torchaudio --extra-index-url

pip install torch==1.13.0+rocm5.2 torchvision==0.14.0+rocm5.2 torchaudio==0.13.0 --extra-index-url https://download.pytorch.org/whl/rocm5.2

# CUDA 11.6

pip install torch==1.13.0+cu116 torchvision==0.14.0+cu116 torchaudio==0.13.0 --extra-index-url https://download.pytorch.org/whl/cu116

# CUDA 11.7

pip install torch==1.13.0+cu117 torchvision==0.14.0+cu117 torchaudio==0.13.0 --extra-index-url https://download.pytorch.org/whl/cu117

# CPU only

pip install torch==1.13.0+cpu torchvision==0.14.0+cpu torchaudio==0.13.0 --extra-index-url https://download.pytorch.org/whl/cpu

v1.12.1

Conda

OSX

# conda

conda install pytorch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1 -c pytorch

Linux and Windows

# CUDA 10.2

conda install pytorch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1 cudatoolkit=10.2 -c pytorch

# CUDA 11.3

conda install pytorch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1 cudatoolkit=11.3 -c pytorch

# CUDA 11.6

conda install pytorch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1 cudatoolkit=11.6 -c pytorch -c conda-forge

# CPU Only

conda install pytorch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1 cpuonly -c pytorch

Wheel

OSX

pip install torch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1

Linux and Windows

# ROCM 5.1.1 (Linux only)

pip install torch==1.12.1+rocm5.1.1 torchvision==0.13.1+rocm5.1.1 torchaudio==0.12.1 --extra-index-url  https://download.pytorch.org/whl/rocm5.1.1

# CUDA 11.6

pip install torch==1.12.1+cu116 torchvision==0.13.1+cu116 torchaudio==0.12.1 --extra-index-url https://download.pytorch.org/whl/cu116

# CUDA 11.3

pip install torch==1.12.1+cu113 torchvision==0.13.1+cu113 torchaudio==0.12.1 --extra-index-url https://download.pytorch.org/whl/cu113

# CUDA 10.2

pip install torch==1.12.1+cu102 torchvision==0.13.1+cu102 torchaudio==0.12.1 --extra-index-url https://download.pytorch.org/whl/cu102

# CPU only

pip install torch==1.12.1+cpu torchvision==0.13.1+cpu torchaudio==0.12.1 --extra-index-url https://download.pytorch.org/whl/cpu

v1.12.0

Conda

OSX

# conda

conda install pytorch==1.12.0 torchvision==0.13.0 torchaudio==0.12.0 -c pytorch

Linux and Windows

# CUDA 10.2

conda install pytorch==1.12.0 torchvision==0.13.0 torchaudio==0.12.0 cudatoolkit=10.2 -c pytorch

# CUDA 11.3

conda install pytorch==1.12.0 torchvision==0.13.0 torchaudio==0.12.0 cudatoolkit=11.3 -c pytorch

# CUDA 11.6

conda install pytorch==1.12.0 torchvision==0.13.0 torchaudio==0.12.0 cudatoolkit=11.6 -c pytorch -c conda-forge

# CPU Only

conda install pytorch==1.12.0 torchvision==0.13.0 torchaudio==0.12.0 cpuonly -c pytorch

Wheel

OSX

pip install torch==1.12.0 torchvision==0.13.0 torchaudio==0.12.0

Linux and Windows

# ROCM 5.1.1 (Linux only)

pip install torch==1.12.0+rocm5.1.1 torchvision==0.13.0+rocm5.1.1 torchaudio==0.12.0 --extra-index-url  https://download.pytorch.org/whl/rocm5.1.1

# CUDA 11.6

pip install torch==1.12.0+cu116 torchvision==0.13.0+cu116 torchaudio==0.12.0 --extra-index-url https://download.pytorch.org/whl/cu116

# CUDA 11.3

pip install torch==1.12.0+cu113 torchvision==0.13.0+cu113 torchaudio==0.12.0 --extra-index-url https://download.pytorch.org/whl/cu113

# CUDA 10.2

pip install torch==1.12.0+cu102 torchvision==0.13.0+cu102 torchaudio==0.12.0 --extra-index-url https://download.pytorch.org/whl/cu102

# CPU only

pip install torch==1.12.0+cpu torchvision==0.13.0+cpu torchaudio==0.12.0 --extra-index-url https://download.pytorch.org/whl/cpu

v1.11.0

Conda

OSX

# conda

conda install pytorch==1.11.0 torchvision==0.12.0 torchaudio==0.11.0 -c pytorch

Linux and Windows

# CUDA 10.2

conda install pytorch==1.11.0 torchvision==0.12.0 torchaudio==0.11.0 cudatoolkit=10.2 -c pytorch

# CUDA 11.3

conda install pytorch==1.11.0 torchvision==0.12.0 torchaudio==0.11.0 cudatoolkit=11.3 -c pytorch

# CPU Only

conda install pytorch==1.11.0 torchvision==0.12.0 torchaudio==0.11.0 cpuonly -c pytorch

Wheel

OSX

pip install torch==1.11.0 torchvision==0.12.0 torchaudio==0.11.0

Linux and Windows

# ROCM 4.5.2 (Linux only)

pip install torch==1.11.0+rocm4.5.2 torchvision==0.12.0+rocm4.5.2 torchaudio==0.11.0 --extra-index-url  https://download.pytorch.org/whl/rocm4.5.2

# CUDA 11.3

pip install torch==1.11.0+cu113 torchvision==0.12.0+cu113 torchaudio==0.11.0 --extra-index-url https://download.pytorch.org/whl/cu113

# CUDA 10.2

pip install torch==1.11.0+cu102 torchvision==0.12.0+cu102 torchaudio==0.11.0 --extra-index-url https://download.pytorch.org/whl/cu102

# CPU only

pip install torch==1.11.0+cpu torchvision==0.12.0+cpu torchaudio==0.11.0 --extra-index-url https://download.pytorch.org/whl/cpu

v1.10.1

Conda

OSX

# conda

conda install pytorch==1.10.1 torchvision==0.11.2 torchaudio==0.10.1 -c pytorch

Linux and Windows

# CUDA 10.2

conda install pytorch==1.10.1 torchvision==0.11.2 torchaudio==0.10.1 cudatoolkit=10.2 -c pytorch

# CUDA 11.3

conda install pytorch==1.10.1 torchvision==0.11.2 torchaudio==0.10.1 cudatoolkit=11.3 -c pytorch -c conda-forge

# CPU Only

conda install pytorch==1.10.1 torchvision==0.11.2 torchaudio==0.10.1 cpuonly -c pytorch

Wheel

OSX

pip install torch==1.10.1 torchvision==0.11.2 torchaudio==0.10.1

Linux and Windows

# ROCM 4.2 (Linux only)

pip install torch==1.10.1+rocm4.2 torchvision==0.11.2+rocm4.2 torchaudio==0.10.1 -f https://download.pytorch.org/whl/rocm4.2/torch_stable.html

# ROCM 4.1 (Linux only)

pip install torch==1.10.1+rocm4.1 torchvision==0.11.2+rocm4.1 torchaudio==0.10.1 -f https://download.pytorch.org/whl/torch_stable.html

# ROCM 4.0.1 (Linux only)

pip install torch==1.10.1+rocm4.0.1 torchvision==0.10.2+rocm4.0.1 torchaudio==0.10.1 -f https://download.pytorch.org/whl/torch_stable.html

# CUDA 11.1

pip install torch==1.10.1+cu111 torchvision==0.11.2+cu111 torchaudio==0.10.1 -f https://download.pytorch.org/whl/cu111/torch_stable.html

# CUDA 10.2

pip install torch==1.10.1+cu102 torchvision==0.11.2+cu102 torchaudio==0.10.1 -f https://download.pytorch.org/whl/cu102/torch_stable.html

# CPU only

pip install torch==1.10.1+cpu torchvision==0.11.2+cpu torchaudio==0.10.1 -f https://download.pytorch.org/whl/cpu/torch_stable.html

v1.10.0

Conda

OSX

# conda

conda install pytorch==1.10.0 torchvision==0.11.0 torchaudio==0.10.0 -c pytorch

Linux and Windows

# CUDA 10.2

conda install pytorch==1.10.0 torchvision==0.11.0 torchaudio==0.10.0 cudatoolkit=10.2 -c pytorch

# CUDA 11.3

conda install pytorch==1.10.0 torchvision==0.11.0 torchaudio==0.10.0 cudatoolkit=11.3 -c pytorch -c conda-forge

# CPU Only

conda install pytorch==1.10.0 torchvision==0.11.0 torchaudio==0.10.0 cpuonly -c pytorch

Wheel

OSX

pip install torch==1.10.0 torchvision==0.11.0 torchaudio==0.10.0

Linux and Windows

# ROCM 4.2 (Linux only)

pip install torch==1.10.0+rocm4.2 torchvision==0.11.0+rocm4.2 torchaudio==0.10.0 -f https://download.pytorch.org/whl/torch_stable.html

# ROCM 4.1 (Linux only)

pip install torch==1.10.0+rocm4.1 torchvision==0.11.0+rocm4.1 torchaudio==0.10.0 -f https://download.pytorch.org/whl/torch_stable.html

# ROCM 4.0.1 (Linux only)

pip install torch==1.10.0+rocm4.0.1 torchvision==0.10.1+rocm4.0.1 torchaudio==0.10.0 -f https://download.pytorch.org/whl/torch_stable.html

# CUDA 11.1

pip install torch==1.10.0+cu111 torchvision==0.11.0+cu111 torchaudio==0.10.0 -f https://download.pytorch.org/whl/torch_stable.html

# CUDA 10.2

pip install torch==1.10.0+cu102 torchvision==0.11.0+cu102 torchaudio==0.10.0 -f https://download.pytorch.org/whl/torch_stable.html

# CPU only

pip install torch==1.10.0+cpu torchvision==0.11.0+cpu torchaudio==0.10.0 -f https://download.pytorch.org/whl/torch_stable.html

v1.9.1

Conda

OSX

# conda

conda install pytorch==1.9.1 torchvision==0.10.1 torchaudio==0.9.1 -c pytorch

Linux and Windows

# CUDA 10.2

conda install pytorch==1.9.1 torchvision==0.10.1 torchaudio==0.9.1 cudatoolkit=10.2 -c pytorch

# CUDA 11.3

conda install pytorch==1.9.1 torchvision==0.10.1 torchaudio==0.9.1 cudatoolkit=11.3 -c pytorch -c conda-forge

# CPU Only

conda install pytorch==1.9.0 torchvision==0.10.1 torchaudio==0.9.1 cpuonly -c pytorch

Wheel

OSX

pip install torch==1.9.1 torchvision==0.10.1 torchaudio==0.9.1

Linux and Windows

# ROCM 4.2 (Linux only)

pip install torch==1.9.0+rocm4.2 torchvision==0.10.1+rocm4.2 torchaudio==0.9.1 -f https://download.pytorch.org/whl/torch_stable.html

# ROCM 4.1 (Linux only)

pip install torch==1.9.0+rocm4.1 torchvision==0.10.1+rocm4.1 torchaudio==0.9.1 -f https://download.pytorch.org/whl/torch_stable.html

# ROCM 4.0.1 (Linux only)

pip install torch==1.9.1+rocm4.0.1 torchvision==0.10.1+rocm4.0.1 torchaudio==0.9.1 -f https://download.pytorch.org/whl/torch_stable.html

# CUDA 11.1

pip install torch==1.9.1+cu111 torchvision==0.10.1+cu111 torchaudio==0.9.1 -f https://download.pytorch.org/whl/torch_stable.html

# CUDA 10.2

pip install torch==1.9.1+cu102 torchvision==0.10.1+cu102 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html

# CPU only

pip install torch==1.9.1+cpu torchvision==0.10.1+cpu torchaudio==0.9.1 -f https://download.pytorch.org/whl/torch_stable.html

v1.9.0

Conda

OSX

# conda

conda install pytorch==1.9.0 torchvision==0.10.0 torchaudio==0.9.0 -c pytorch

Linux and Windows

# CUDA 10.2

conda install pytorch==1.9.0 torchvision==0.10.0 torchaudio==0.9.0 cudatoolkit=10.2 -c pytorch

# CUDA 11.3

conda install pytorch==1.9.0 torchvision==0.10.0 torchaudio==0.9.0 cudatoolkit=11.3 -c pytorch -c conda-forge

# CPU Only

conda install pytorch==1.9.0 torchvision==0.10.0 torchaudio==0.9.0 cpuonly -c pytorch

Wheel

OSX

pip install torch==1.9.0 torchvision==0.10.0 torchaudio==0.9.0

Linux and Windows

# ROCM 4.2 (Linux only)

pip install torch==1.9.0+rocm4.2 torchvision==0.10.0+rocm4.2 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html

# ROCM 4.1 (Linux only)

pip install torch==1.9.0+rocm4.1 torchvision==0.10.0+rocm4.1 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html

# ROCM 4.0.1 (Linux only)

pip install torch==1.9.0+rocm4.0.1 torchvision==0.10.0+rocm4.0.1 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html

# CUDA 11.1

pip install torch==1.9.0+cu111 torchvision==0.10.0+cu111 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html

# CUDA 10.2

pip install torch==1.9.0+cu102 torchvision==0.10.0+cu102 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html

# CPU only

pip install torch==1.9.0+cpu torchvision==0.10.0+cpu torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html

v1.8.2 with LTS support

Conda

OSX

macOS is currently not supported for LTS.

Linux and Windows

# CUDA 10.2

# NOTE: PyTorch LTS version 1.8.2 is only supported for Python <= 3.8.

conda install pytorch torchvision torchaudio cudatoolkit=10.2 -c pytorch-lts

# CUDA 11.1 (Linux)

# NOTE: 'nvidia' channel is required for cudatoolkit 11.1 <br> <b>NOTE:</b> Pytorch LTS version 1.8.2 is only supported for Python <= 3.8.

conda install pytorch torchvision torchaudio cudatoolkit=11.1 -c pytorch-lts -c nvidia

# CUDA 11.1 (Windows)

# 'conda-forge' channel is required for cudatoolkit 11.1 <br> <b>NOTE:</b> Pytorch LTS version 1.8.2 is only supported for Python <= 3.8.

conda install pytorch torchvision torchaudio cudatoolkit=11.1 -c pytorch-lts -c conda-forge

# CPU Only

# Pytorch LTS version 1.8.2 is only supported for Python <= 3.8.

conda install pytorch torchvision torchaudio cpuonly -c pytorch-lts

# ROCM5.x

Not supported in LTS.

Wheel

OSX

macOS is currently not supported in LTS.

Linux and Windows

# CUDA 10.2

pip3 install torch==1.8.2 torchvision==0.9.2 torchaudio==0.8.2 --extra-index-url https://download.pytorch.org/whl/lts/1.8/cu102

# CUDA 11.1

pip3 install torch==1.8.2 torchvision==0.9.2 torchaudio==0.8.2 --extra-index-url https://download.pytorch.org/whl/lts/1.8/cu111

# CPU Only

pip3 install torch==1.8.2 torchvision==0.9.2 torchaudio==0.8.2 --extra-index-url https://download.pytorch.org/whl/lts/1.8/cpu

# ROCM5.x

Not supported in LTS.

v1.8.1

Conda

OSX

# conda

conda install pytorch==1.8.1 torchvision==0.9.1 torchaudio==0.8.1 -c pytorch

Linux and Windows

# CUDA 10.2

conda install pytorch==1.8.1 torchvision==0.9.1 torchaudio==0.8.1 cudatoolkit=10.2 -c pytorch

# CUDA 11.3

conda install pytorch==1.8.1 torchvision==0.9.1 torchaudio==0.8.1 cudatoolkit=11.3 -c pytorch -c conda-forge

# CPU Only

conda install pytorch==1.8.1 torchvision==0.9.1 torchaudio==0.8.1 cpuonly -c pytorch

Wheel

OSX

pip install torch==1.8.1 torchvision==0.9.1 torchaudio==0.8.1

Linux and Windows

# ROCM 4.0.1 (Linux only)

pip install torch==1.8.1+rocm4.0.1 torchvision==0.9.1+rocm4.0.1 torchaudio==0.8.1 -f https://download.pytorch.org/whl/torch_stable.html

# ROCM 3.10 (Linux only)

pip install torch==1.8.1+rocm3.10 torchvision==0.9.1+rocm3.10 torchaudio==0.8.1 -f https://download.pytorch.org/whl/torch_stable.html

# CUDA 11.1

pip install torch==1.8.1+cu111 torchvision==0.9.1+cu111 torchaudio==0.8.1 -f https://download.pytorch.org/whl/torch_stable.html

# CUDA 10.2

pip install torch==1.8.1+cu102 torchvision==0.9.1+cu102 torchaudio==0.8.1 -f https://download.pytorch.org/whl/torch_stable.html

# CUDA 10.1

pip install torch==1.8.1+cu101 torchvision==0.9.1+cu101 torchaudio==0.8.1 -f https://download.pytorch.org/whl/torch_stable.html

# CPU only

pip install torch==1.8.1+cpu torchvision==0.9.1+cpu torchaudio==0.8.1 -f https://download.pytorch.org/whl/torch_stable.html

v1.8.0

Conda

OSX

# conda

conda install pytorch==1.8.0 torchvision==0.9.0 torchaudio==0.8.0 -c pytorch

Linux and Windows

# CUDA 10.2

conda install pytorch==1.8.0 torchvision==0.9.0 torchaudio==0.8.0 cudatoolkit=10.2 -c pytorch

# CUDA 11.1

conda install pytorch==1.8.0 torchvision==0.9.0 torchaudio==0.8.0 cudatoolkit=11.1 -c pytorch -c conda-forge

# CPU Only

conda install pytorch==1.8.0 torchvision==0.9.0 torchaudio==0.8.0 cpuonly -c pytorch

Wheel

OSX

pip install torch==1.8.0 torchvision==0.9.0 torchaudio==0.8.0

Linux and Windows

# RocM 4.0.1 (Linux only)

pip install torch -f https://download.pytorch.org/whl/rocm4.0.1/torch_stable.html

pip install ninja

pip install 'git+https://github.com/pytorch/vision.git@v0.9.0'

# CUDA 11.1

pip install torch==1.8.0+cu111 torchvision==0.9.0+cu111 torchaudio==0.8.0 -f https://download.pytorch.org/whl/torch_stable.html

# CUDA 10.2

pip install torch==1.8.0 torchvision==0.9.0 torchaudio==0.8.0

# CPU only

pip install torch==1.8.0+cpu torchvision==0.9.0+cpu torchaudio==0.8.0 -f https://download.pytorch.org/whl/torch_stable.html

v1.7.1

Conda

OSX

# conda

conda install pytorch==1.7.1 torchvision==0.8.2 torchaudio==0.7.2 -c pytorch

Linux and Windows

# CUDA 9.2

conda install pytorch==1.7.1 torchvision==0.8.2 torchaudio==0.7.2 cudatoolkit=9.2 -c pytorch

# CUDA 10.1

conda install pytorch==1.7.1 torchvision==0.8.2 torchaudio==0.7.2 cudatoolkit=10.1 -c pytorch

# CUDA 10.2

conda install pytorch==1.7.1 torchvision==0.8.2 torchaudio==0.7.2 cudatoolkit=10.2 -c pytorch

# CUDA 11.0

conda install pytorch==1.7.1 torchvision==0.8.2 torchaudio==0.7.2 cudatoolkit=11.0 -c pytorch

# CPU Only

conda install pytorch==1.7.1 torchvision==0.8.2 torchaudio==0.7.2 cpuonly -c pytorch

Wheel

OSX

pip install torch==1.7.1 torchvision==0.8.2 torchaudio==0.7.2

Linux and Windows

# CUDA 11.0

pip install torch==1.7.1+cu110 torchvision==0.8.2+cu110 torchaudio==0.7.2 -f https://download.pytorch.org/whl/torch_stable.html

# CUDA 10.2

pip install torch==1.7.1 torchvision==0.8.2 torchaudio==0.7.2

# CUDA 10.1

pip install torch==1.7.1+cu101 torchvision==0.8.2+cu101 torchaudio==0.7.2 -f https://download.pytorch.org/whl/torch_stable.html

# CUDA 9.2

pip install torch==1.7.1+cu92 torchvision==0.8.2+cu92 torchaudio==0.7.2 -f https://download.pytorch.org/whl/torch_stable.html

# CPU only

pip install torch==1.7.1+cpu torchvision==0.8.2+cpu torchaudio==0.7.2 -f https://download.pytorch.org/whl/torch_stable.html

v1.7.0

Conda

OSX

# conda

conda install pytorch==1.7.0 torchvision==0.8.0 torchaudio==0.7.0 -c pytorch

Linux and Windows

# CUDA 9.2

conda install pytorch==1.7.0 torchvision==0.8.0 torchaudio==0.7.0 cudatoolkit=9.2 -c pytorch

# CUDA 10.1

conda install pytorch==1.7.0 torchvision==0.8.0 torchaudio==0.7.0 cudatoolkit=10.1 -c pytorch

# CUDA 10.2

conda install pytorch==1.7.0 torchvision==0.8.0 torchaudio==0.7.0 cudatoolkit=10.2 -c pytorch

# CUDA 11.0

conda install pytorch==1.7.0 torchvision==0.8.0 torchaudio==0.7.0 cudatoolkit=11.0 -c pytorch

# CPU Only

conda install pytorch==1.7.0 torchvision==0.8.0 torchaudio==0.7.0 cpuonly -c pytorch

Wheel

OSX

pip install torch==1.7.0 torchvision==0.8.0 torchaudio==0.7.0

Linux and Windows

# CUDA 11.0

pip install torch==1.7.0+cu110 torchvision==0.8.0+cu110 torchaudio==0.7.0 -f https://download.pytorch.org/whl/torch_stable.html

# CUDA 10.2

pip install torch==1.7.0 torchvision==0.8.0 torchaudio==0.7.0

# CUDA 10.1

pip install torch==1.7.0+cu101 torchvision==0.8.0+cu101 torchaudio==0.7.0 -f https://download.pytorch.org/whl/torch_stable.html

# CUDA 9.2

pip install torch==1.7.0+cu92 torchvision==0.8.0+cu92 torchaudio==0.7.0 -f https://download.pytorch.org/whl/torch_stable.html

# CPU only

pip install torch==1.7.0+cpu torchvision==0.8.0+cpu torchaudio==0.7.0 -f https://download.pytorch.org/whl/torch_stable.html

v1.6.0

Conda

OSX

# conda

conda install pytorch==1.6.0 torchvision==0.7.0 -c pytorch

Linux and Windows

# CUDA 9.2

conda install pytorch==1.6.0 torchvision==0.7.0 cudatoolkit=9.2 -c pytorch

# CUDA 10.1

conda install pytorch==1.6.0 torchvision==0.7.0 cudatoolkit=10.1 -c pytorch

# CUDA 10.2

conda install pytorch==1.6.0 torchvision==0.7.0 cudatoolkit=10.2 -c pytorch

# CPU Only

conda install pytorch==1.6.0 torchvision==0.7.0 cpuonly -c pytorch

Wheel

OSX

pip install torch==1.6.0 torchvision==0.7.0

Linux and Windows

# CUDA 10.2

pip install torch==1.6.0 torchvision==0.7.0

# CUDA 10.1

pip install torch==1.6.0+cu101 torchvision==0.7.0+cu101 -f https://download.pytorch.org/whl/torch_stable.html

# CUDA 9.2

pip install torch==1.6.0+cu92 torchvision==0.7.0+cu92 -f https://download.pytorch.org/whl/torch_stable.html

# CPU only

pip install torch==1.6.0+cpu torchvision==0.7.0+cpu -f https://download.pytorch.org/whl/torch_stable.html

v1.5.1

Conda

OSX

# conda

conda install pytorch==1.5.1 torchvision==0.6.1 -c pytorch

Linux and Windows

# CUDA 9.2

conda install pytorch==1.5.1 torchvision==0.6.1 cudatoolkit=9.2 -c pytorch

# CUDA 10.1

conda install pytorch==1.5.1 torchvision==0.6.1 cudatoolkit=10.1 -c pytorch

# CUDA 10.2

conda install pytorch==1.5.1 torchvision==0.6.1 cudatoolkit=10.2 -c pytorch

# CPU Only

conda install pytorch==1.5.1 torchvision==0.6.1 cpuonly -c pytorch

Wheel

OSX

pip install torch==1.5.1 torchvision==0.6.1

Linux and Windows

# CUDA 10.2

pip install torch==1.5.1 torchvision==0.6.1

# CUDA 10.1

pip install torch==1.5.1+cu101 torchvision==0.6.1+cu101 -f https://download.pytorch.org/whl/torch_stable.html

# CUDA 9.2

pip install torch==1.5.1+cu92 torchvision==0.6.1+cu92 -f https://download.pytorch.org/whl/torch_stable.html

# CPU only

pip install torch==1.5.1+cpu torchvision==0.6.1+cpu -f https://download.pytorch.org/whl/torch_stable.html

v1.5.0

Conda

OSX

# conda

conda install pytorch==1.5.0 torchvision==0.6.0 -c pytorch

Linux and Windows

# CUDA 9.2

conda install pytorch==1.5.0 torchvision==0.6.0 cudatoolkit=9.2 -c pytorch

# CUDA 10.1

conda install pytorch==1.5.0 torchvision==0.6.0 cudatoolkit=10.1 -c pytorch

# CUDA 10.2

conda install pytorch==1.5.0 torchvision==0.6.0 cudatoolkit=10.2 -c pytorch

# CPU Only

conda install pytorch==1.5.0 torchvision==0.6.0 cpuonly -c pytorch

Wheel

OSX

pip install torch==1.5.0 torchvision==0.6.0

Linux and Windows

# CUDA 10.2

pip install torch==1.5.0 torchvision==0.6.0

# CUDA 10.1

pip install torch==1.5.0+cu101 torchvision==0.6.0+cu101 -f https://download.pytorch.org/whl/torch_stable.html

# CUDA 9.2

pip install torch==1.5.0+cu92 torchvision==0.6.0+cu92 -f https://download.pytorch.org/whl/torch_stable.html

# CPU only

pip install torch==1.5.0+cpu torchvision==0.6.0+cpu -f https://download.pytorch.org/whl/torch_stable.html

v1.4.0

Conda

OSX

# conda

conda install pytorch==1.4.0 torchvision==0.5.0 -c pytorch

Linux and Windows

# CUDA 9.2

conda install pytorch==1.4.0 torchvision==0.5.0 cudatoolkit=9.2 -c pytorch

# CUDA 10.1

conda install pytorch==1.4.0 torchvision==0.5.0 cudatoolkit=10.1 -c pytorch

# CPU Only

conda install pytorch==1.4.0 torchvision==0.5.0 cpuonly -c pytorch

Wheel

OSX

pip install torch==1.4.0 torchvision==0.5.0

Linux and Windows

# CUDA 10.1

pip install torch==1.4.0 torchvision==0.5.0

# CUDA 9.2

pip install torch==1.4.0+cu92 torchvision==0.5.0+cu92 -f https://download.pytorch.org/whl/torch_stable.html

# CPU only

pip install torch==1.4.0+cpu torchvision==0.5.0+cpu -f https://download.pytorch.org/whl/torch_stable.html

v1.2.0

Conda

OSX

# conda

conda install pytorch==1.2.0 torchvision==0.4.0 -c pytorch

Linux and Windows

# CUDA 9.2

conda install pytorch==1.2.0 torchvision==0.4.0 cudatoolkit=9.2 -c pytorch

# CUDA 10.0

conda install pytorch==1.2.0 torchvision==0.4.0 cudatoolkit=10.0 -c pytorch

# CPU Only

conda install pytorch==1.2.0 torchvision==0.4.0 cpuonly -c pytorch

Wheel

OSX

pip install torch==1.2.0 torchvision==0.4.0

Linux and Windows

# CUDA 10.0

pip install torch==1.2.0 torchvision==0.4.0

# CUDA 9.2

pip install torch==1.2.0+cu92 torchvision==0.4.0+cu92 -f https://download.pytorch.org/whl/torch_stable.html

# CPU only

pip install torch==1.2.0+cpu torchvision==0.4.0+cpu -f https://download.pytorch.org/whl/torch_stable.html

v1.1.0

Conda

OSX

# conda

conda install pytorch==1.1.0 torchvision==0.3.0 -c pytorch

Linux and Windows

# CUDA 9.0

conda install pytorch==1.1.0 torchvision==0.3.0 cudatoolkit=9.0 -c pytorch

# CUDA 10.0

conda install pytorch==1.1.0 torchvision==0.3.0 cudatoolkit=10.0 -c pytorch

# CPU Only

conda install pytorch-cpu==1.1.0 torchvision-cpu==0.3.0 cpuonly -c pytorch

Wheel

OSX

pip install torch==1.1.0 torchvision==0.3.0

Linux and Windows

# CUDA 10.0

Download and install wheel from https://download.pytorch.org/whl/cu100/torch_stable.html

# CUDA 9.0

Download and install wheel from https://download.pytorch.org/whl/cu90/torch_stable.html

# CPU only

Download and install wheel from https://download.pytorch.org/whl/cpu/torch_stable.html

v1.0.1

Conda

OSX

# conda

conda install pytorch==1.0.1 torchvision==0.2.2 -c pytorch

Linux and Windows

# CUDA 9.0

conda install pytorch==1.0.1 torchvision==0.2.2 cudatoolkit=9.0 -c pytorch

# CUDA 10.0

conda install pytorch==1.0.1 torchvision==0.2.2 cudatoolkit=10.0 -c pytorch

# CPU Only

conda install pytorch-cpu==1.0.1 torchvision-cpu==0.2.2 cpuonly -c pytorch

Wheel

OSX

pip install torch==1.0.1 torchvision==0.2.2

Linux and Windows

# CUDA 10.0

Download and install wheel from https://download.pytorch.org/whl/cu100/torch_stable.html

# CUDA 9.0

Download and install wheel from https://download.pytorch.org/whl/cu90/torch_stable.html

# CPU only

Download and install wheel from https://download.pytorch.org/whl/cpu/torch_stable.html

v1.0.0

Conda

OSX

# conda

conda install pytorch==1.0.0 torchvision==0.2.1 -c pytorch

Linux and Windows

# CUDA 10.0

conda install pytorch==1.0.0 torchvision==0.2.1 cuda100 -c pytorch

# CUDA 9.0

conda install pytorch==1.0.0 torchvision==0.2.1 cuda90 -c pytorch

# CUDA 8.0

conda install pytorch==1.0.0 torchvision==0.2.1 cuda80 -c pytorch

# CPU Only

conda install pytorch-cpu==1.0.0 torchvision-cpu==0.2.1 cpuonly -c pytorch

Wheel

OSX

pip install torch==1.0.0 torchvision==0.2.1

Linux and Windows

# CUDA 10.0

Download and install wheel from https://download.pytorch.org/whl/cu100/torch_stable.html

# CUDA 9.0

Download and install wheel from https://download.pytorch.org/whl/cu90/torch_stable.html

# CUDA 8.0

Download and install wheel from https://download.pytorch.org/whl/cu80/torch_stable.html

# CPU only

Download and install wheel from https://download.pytorch.org/whl/cpu/torch_stable.html

官网使用conda&pip安装PyTorch命令总结（包含各版本）的更多相关文章

  1. Windows下通过pip安装PyTorch 0.4.0 import报错

    问题:通过pip安装PyTorch 0.4.0成功,但是import时报错. import torch  File "D:\Python\Python36\lib\site-packages ...

  2. redhat7.4安装git(按照官网从源码安装)

    按照官方文档建议使用源码安装 1.为什么不用yum安装 yum安装确实简单,只用一行命令就可以了,但是yum安装的版本太低. //安装前使用info查看git版本信息等 yum info git yu ...

  3. python3 使用pip安装（命令行中）失败或 “not a supported wheel” 解决方案！

    原因1: 安装的不是对应python版本的库,下载的库名中cp36代表python3.6,其它同理. 原因2:(我遇到的情况----下载的是对应版本的库,然后仍然提示不支持当前平台) 百度了一下,说法 ...

  4. Python3.6 安装、后续终端pip 安装模块命令

    1. 下载安装包 https://www.python.org/ftp/python/3.6.4/python-3.6.4-amd64.exe 2. 安装python3.6 增加环境变量(打钩.红框很 ...

  5. conda pip 安装 dgl 并运行demo 出现：Segmentation fault (core dumped) 错误

    安装dgl 并运行的时候,出现了如上错误,很是郁闷:使用 gdb python; run train.py 进行调试,发现是torch的问题:我猜测估计是torch 安装的版本过于新:于是重新安装 1 ...

  6. [官网]mono的官方安装方法

    mono 官方的安装方法 https://www.mono-project.com/download/stable/#download-lin-centos Download Release chan ...

  7. 小程序官网CMS开源项目出炉，Weixin-App-CMS 1.0 版本正式发布

    Weixin-App-CMS 是捷微团队开发的微信小程序CMS开源项目,涵盖了微网站的基本功能,能够快速发布简单易用的小程序网站.采用工具“微信web开发”上传小程序,即可快速体验发布体验小程序网站. ...

  8. 官网安装Python包太慢？教你三种下载安装方式-PiP、conda、轮子，教你三种Pytorch的下载安装方式，保证你再也不用出现Error

    上一期我们介绍了CUDA下载安装以及其总结,这一期教大家如何在Anaconda中使用CUDA来进行加速.神经网络依赖cuDNN的下载安装,以及下载和安装Pytorch-GPU安装包的三种方式(cond ...

  9. 深度学习环境搭建常用网址、conda/pip命令行整理（pytorch、paddlepaddle等环境搭建）

    前言:最近研究深度学习,安装了好多环境,记录一下,方便后续查阅. 1. Anaconda软件安装 1.1 Anaconda Anaconda是一个用于科学计算的Python发行版,支持Linux.Ma ...

  10. linux下安装redis，按照redis官网安装不成功需要提前安装c++环境（安装成功并可以测试）

    这个安装是一种便捷的安装,没有几句,但是完全按照官网上的来没有安装成功,有前提条件的 打开linux root登录 然后在usr下面建文件夹redis,进入 在该文件加下,直接按照官网的指导进行安装即 ...

随机推荐

  1. DVT：华为提出动态级联Vision Transformer，性能杠杠的 | NeurIPS 2021

    论文主要处理Vision Transformer中的性能问题,采用推理速度不同的级联模型进行速度优化,搭配层级间的特征复用和自注意力关系复用来提升准确率.从实验结果来看,性能提升不错 来源:晓飞的算法 ...

  2. QT 使用相对路径读取.txt文件

    QT可以使用QFile来读取.txt文件,具体代码实现如下: 1 #include <QCoreApplication> 2 #include <QString> 3 #inc ...

  3. sqlite相关

    前言 本文记录一些sqlite相关笔记,随时更新. 正文 时间函数 datetime() -- 当前时间 2022-03-24 17:32:43 select datetime('now'); --2 ...

  4. 使用bootstrap-select 动态加载数据不显示的问题，级联数据置为空

    动态加载数据 $.showLoading('数据加载中');//开启遮挡层 $.ajax({ url: "/PickoutStock/GetSendReceive", data: ...

  5. 使用Selenium爬取动态网页

    1.使用Selenium爬取动态网页 In [ ]: from selenium import webdriver driver = webdriver.Chrome() driver.get('ht ...

  6. [oeasy]python0101_尾声_PC_wintel_8080_诸神的黄昏_arm_riscv

    尾声 回忆上次内容 回顾了 ibm 使用开放架构 用 pc兼容机 战胜了 dec 小型机 apple 个人电脑 触击牺牲打 也破掉了 自己 软硬一体全自主的 金身 借助了 各种 软硬件厂商的 力量 最 ...

  7. oeasy教您玩转vim - 34 - # 查找进阶

    ​ 查找进阶 回忆上节课内容 上次是搜索,是全文搜索 和我们以前的行内有点像 / 正向,? 反向 n 保持方向,N 改变方向 hls 让搜索结果高亮 wrapscan 可以从头搜索 noh 取消本次高 ...

  8. java开发，json转list集合，原生实现

    java 是一门面象对象的语言,对象需要先定义,但是在外理网络请求时候会用到json 转成java 对象,虽然现代开发框架中也提供了很多工具和方法直接转换, 但是作为学习者了解 一下底层实现,更能灵活 ...

  9. XXL-JOB分片执行分布式任务

    XXL-JOB相对于springtask来说优点之一就是分布式执行任务,可以在调度中心为执行器分发任务,实现分布式. 分片广播任务即当一个微服务形成集群的时候,任务会完整的下发给每一个执行器.而不像其 ...

  10. scratch编程作品-龙年发大财

    作品介绍: 龙年欢歌而来,带着满满的希望与勃勃生机.愿小虎鲸Scratch资源站激发您编程之路的无限灵感,让每一天都充满探索与创造的喜悦.在这吉祥如意的年份里,愿您的每一份耕耘都换来丰收的喜悦,每一个 ...