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. Freertos学习:03-任务

    --- title: rtos-freertos-03-任务 EntryName: rtos-freertos-03-task date: 2020-06-20 09:15:07 categories ...

  2. setsocket、getsocket 函数详解

    背景 以前用到socket的时候会调用setsocket进行设置,现在整理有关的笔记的时候,重新查阅资料发现有点奇怪,发现大家比较少使用到这个. setsocket/getsocket #includ ...

  3. 是什么导致了客户端TCP连不上服务器?

      这几年做了很多基于 GGTalk开源即时通讯系统 的定制开发项目,经常会碰到如下两个问题,分享出来,应该对大家会有所帮助: (1)定制开发完成后,在给客户部署GGTalk即时通讯服务端到正式的服务 ...

  4. Spring注解之生命周期@PostConstruct和@PreDestroy

    ****### 简介 从Java EE5规范开始,Servlet增加了两个影响Servlet生命周期的注解(Annotation):@PostConstruct和@PreConstruct. 这两个注 ...

  5. WebGL实践之半透阴影

    楔子 相信很多人都知道,通过ShadowMap可以产生阴影,通过渲染阴影可以增加场景渲染的对比度,增加渲染的真实效果. 如下图所示: 但是对于透明或者半透明的对象,WebGL在处理阴影效果的时候,会把 ...

  6. 基于CFX的小型风电机组流场计算流程

    一.Workbench界面框架 二.Geometry模块操作 1.打开Geometry模块,导入txt格式模型 File >> Import External Geometry File ...

  7. Django中的函数make_password、set_password和check_password

    在Django中,有一些用于处理密码的常用函数,包括make_password.set_password和check_password.这些函数用于生成.设置和验证密码,但没有直接的get_passw ...

  8. 吐血整理如何在Google Earth Engine上写循环 五个代码实例详细拆解

    在这里同步一篇本人的原创文章.原文发布于2023年发布在知乎专栏,转移过来时略有修改.全文共计3万余字,希望帮助到GEE小白快速进阶. 引言 这篇文章主要解答GEE中.map()和.iterate() ...

  9. ScaleDet:AWS 基于标签相似性提出可扩展的多数据集目标检测器 | CVPR 2023

    论文提出了一种可扩展的多数据集目标检测器(ScaleDet),可通过增加训练数据集来扩大其跨数据集的泛化能力.与现有的主要依靠手动重新标记或复杂的优化来统一跨数据集标签的多数据集学习器不同,论文引入简 ...

  10. Known框架实战演练——进销存基础数据

    本文介绍如何实现进销存管理系统的基础数据模块,基础数据模块包括商品信息.供应商管理和客户管理3个菜单页面.供应商和客户字段相同,因此可共用一个页面组件类. 项目代码:JxcLite 开源地址: htt ...