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GET STARTED

Select preferences and run the command to install PyTorch locally, or get started quickly with one of the supported cloud platforms.

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• Previous PyTorch Versions
• Mobile

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

v1.10.1

Conda

OSX

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

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
复制

Wheel

OSX

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

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/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/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/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/torch_stable.html
复制

v1.10.0

Conda

OSX

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

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
复制

Wheel

OSX

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

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
复制

v1.9.1

Conda

OSX

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

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
复制

Wheel

OSX

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

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
复制

v1.9.0

Conda

OSX

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

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
复制

Wheel

OSX

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

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
复制

v1.8.1

Conda

OSX

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

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
复制

Wheel

OSX

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

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
复制

v1.8.0

Conda

OSX

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

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
复制

Wheel

OSX

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

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
复制

v1.7.1

Conda

OSX

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

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
复制

Wheel

OSX

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

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
复制

v1.7.0

Conda

OSX

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

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
复制

Wheel

OSX

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

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
复制

v1.6.0

Conda

OSX

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

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
复制

Wheel

OSX

pip install torch==1.6.0 torchvision==0.7.0
复制

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
复制

v1.5.1

Conda

OSX

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

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
复制

Wheel

OSX

pip install torch==1.5.1 torchvision==0.6.1
复制

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
复制

v1.5.0

Conda

OSX

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

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
复制

Wheel

OSX

pip install torch==1.5.0 torchvision==0.6.0
复制

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
复制

v1.4.0

Conda

OSX

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

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
复制

Wheel

OSX

pip install torch==1.4.0 torchvision==0.5.0
复制

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
复制

v1.2.0

Conda

OSX

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

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
复制

Wheel

OSX

pip install torch==1.2.0 torchvision==0.4.0
复制

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
复制

v1.1.0

Conda

OSX

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

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
复制

Wheel

OSX

pip install torch==1.1.0 torchvision==0.3.0
复制

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
复制

v1.0.1

Conda

OSX

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

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
复制

Wheel

OSX

pip install torch==1.0.1 torchvision==0.2.2
复制

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
复制

v1.0.0

Conda

OSX

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

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
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Wheel

OSX

pip install torch==1.0.0 torchvision==0.2.1
复制

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
复制

COMMANDS FOR VERSIONS < 1.0.0

Via conda

This should be used for most previous macOS version installs.

To install a previous version of PyTorch via Anaconda or Miniconda, replace “0.4.1” in the following commands with the desired version (i.e., “0.2.0”).

Installing with CUDA 9

conda install pytorch=0.4.1 cuda90 -c pytorch

or

conda install pytorch=0.4.1 cuda92 -c pytorch

Installing with CUDA 8

conda install pytorch=0.4.1 cuda80 -c pytorch

Installing with CUDA 7.5

conda install pytorch=0.4.1 cuda75 -c pytorch

Installing without CUDA

conda install pytorch=0.4.1 -c pytorch

From source

It is possible to checkout an older version of PyTorch and build it. You can list tags in PyTorch git repository with git tag and checkout a particular one (replace ‘0.1.9’ with the desired version) with

git checkout v0.1.9

Follow the install from source instructions in the README.md of the PyTorch checkout.

Via pip

Download the whl file with the desired version from the following html pages:

• 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

Then, install the file with pip install [downloaded file]

Note: most pytorch versions are available only for specific CUDA versions. For example pytorch=1.0.1 is not available for CUDA 9.2

(Old) PyTorch Linux binaries compiled with CUDA 7.5

These predate the html page above and have to be manually installed by downloading the wheel file and pip install downloaded_file

• cu75/torch-0.3.0.post4-cp36-cp36m-linux_x86_64.whl
• cu75/torch-0.3.0.post4-cp35-cp35m-linux_x86_64.whl
• cu75/torch-0.3.0.post4-cp27-cp27mu-linux_x86_64.whl
• cu75/torch-0.3.0.post4-cp27-cp27m-linux_x86_64.whl
• cu75/torch-0.2.0.post3-cp36-cp36m-manylinux1_x86_64.whl
• cu75/torch-0.2.0.post3-cp35-cp35m-manylinux1_x86_64.whl
• cu75/torch-0.2.0.post3-cp27-cp27mu-manylinux1_x86_64.whl
• cu75/torch-0.2.0.post3-cp27-cp27m-manylinux1_x86_64.whl
• cu75/torch-0.2.0.post2-cp36-cp36m-manylinux1_x86_64.whl
• cu75/torch-0.2.0.post2-cp35-cp35m-manylinux1_x86_64.whl
• cu75/torch-0.2.0.post2-cp27-cp27mu-manylinux1_x86_64.whl
• cu75/torch-0.2.0.post2-cp27-cp27m-manylinux1_x86_64.whl
• cu75/torch-0.2.0.post1-cp36-cp36m-manylinux1_x86_64.whl
• cu75/torch-0.2.0.post1-cp35-cp35m-manylinux1_x86_64.whl
• cu75/torch-0.2.0.post1-cp27-cp27mu-manylinux1_x86_64.whl
• cu75/torch-0.2.0.post1-cp27-cp27m-manylinux1_x86_64.whl
• cu75/torch-0.1.12.post2-cp36-cp36m-linux_x86_64.whl
• cu75/torch-0.1.12.post2-cp35-cp35m-linux_x86_64.whl
• cu75/torch-0.1.12.post2-cp27-none-linux_x86_64.whl
• cu75/torch-0.1.12.post1-cp36-cp36m-linux_x86_64.whl
• cu75/torch-0.1.12.post1-cp35-cp35m-linux_x86_64.whl
• cu75/torch-0.1.12.post1-cp27-none-linux_x86_64.whl
• cu75/torch-0.1.11.post5-cp36-cp36m-linux_x86_64.whl
• cu75/torch-0.1.11.post5-cp35-cp35m-linux_x86_64.whl
• cu75/torch-0.1.11.post5-cp27-none-linux_x86_64.whl
• cu75/torch-0.1.11.post4-cp36-cp36m-linux_x86_64.whl
• cu75/torch-0.1.11.post4-cp35-cp35m-linux_x86_64.whl
• cu75/torch-0.1.11.post4-cp27-none-linux_x86_64.whl
• cu75/torch-0.1.10.post2-cp36-cp36m-linux_x86_64.whl
• cu75/torch-0.1.10.post2-cp35-cp35m-linux_x86_64.whl
• cu75/torch-0.1.10.post2-cp27-none-linux_x86_64.whl
• cu75/torch-0.1.10.post1-cp36-cp36m-linux_x86_64.whl
• cu75/torch-0.1.10.post1-cp35-cp35m-linux_x86_64.whl
• cu75/torch-0.1.10.post1-cp27-none-linux_x86_64.whl
• cu75/torch-0.1.9.post2-cp36-cp36m-linux_x86_64.whl
• cu75/torch-0.1.9.post2-cp35-cp35m-linux_x86_64.whl
• cu75/torch-0.1.9.post2-cp27-none-linux_x86_64.whl
• cu75/torch-0.1.9.post1-cp36-cp36m-linux_x86_64.whl
• cu75/torch-0.1.9.post1-cp35-cp35m-linux_x86_64.whl
• cu75/torch-0.1.9.post1-cp27-none-linux_x86_64.whl
• cu75/torch-0.1.8.post1-cp36-cp36m-linux_x86_64.whl
• cu75/torch-0.1.8.post1-cp35-cp35m-linux_x86_64.whl
• cu75/torch-0.1.8.post1-cp27-none-linux_x86_64.whl
• cu75/torch-0.1.7.post2-cp36-cp36m-linux_x86_64.whl
• cu75/torch-0.1.7.post2-cp35-cp35m-linux_x86_64.whl
• cu75/torch-0.1.7.post2-cp27-none-linux_x86_64.whl
• cu75/torch-0.1.6.post22-cp35-cp35m-linux_x86_64.whl
• cu75/torch-0.1.6.post22-cp27-none-linux_x86_64.whl
• cu75/torch-0.1.6.post20-cp35-cp35m-linux_x86_64.whl
• cu75/torch-0.1.6.post20-cp27-cp27mu-linux_x86_64.whl

Windows binaries

• cpu/torch-1.0.0-cp35-cp35m-win_amd64.whl
• cu80/torch-1.0.0-cp35-cp35m-win_amd64.whl
• cu90/torch-1.0.0-cp35-cp35m-win_amd64.whl
• cu100/torch-1.0.0-cp35-cp35m-win_amd64.whl
• cpu/torch-1.0.0-cp36-cp36m-win_amd64.whl
• cu80/torch-1.0.0-cp36-cp36m-win_amd64.whl
• cu90/torch-1.0.0-cp36-cp36m-win_amd64.whl
• cu100/torch-1.0.0-cp36-cp36m-win_amd64.whl
• cpu/torch-1.0.0-cp37-cp37m-win_amd64.whl
• cu80/torch-1.0.0-cp37-cp37m-win_amd64.whl
• cu90/torch-1.0.0-cp37-cp37m-win_amd64.whl
• cu100/torch-1.0.0-cp37-cp37m-win_amd64.whl
• cpu/torch-0.4.1-cp35-cp35m-win_amd64.whl
• cu80/torch-0.4.1-cp35-cp35m-win_amd64.whl
• cu90/torch-0.4.1-cp35-cp35m-win_amd64.whl
• cu92/torch-0.4.1-cp35-cp35m-win_amd64.whl
• cpu/torch-0.4.1-cp36-cp36m-win_amd64.whl
• cu80/torch-0.4.1-cp36-cp36m-win_amd64.whl
• cu90/torch-0.4.1-cp36-cp36m-win_amd64.whl
• cu92/torch-0.4.1-cp36-cp36m-win_amd64.whl
• cpu/torch-0.4.1-cp37-cp37m-win_amd64.whl
• cu80/torch-0.4.1-cp37-cp37m-win_amd64.whl
• cu90/torch-0.4.1-cp37-cp37m-win_amd64.whl
• cu92/torch-0.4.1-cp37-cp37m-win_amd64.whl

Mac and misc. binaries

For recent macOS binaries, use conda:

e.g.,

conda install pytorch=0.4.1 cuda90 -c pytorch conda install pytorch=0.4.1 cuda92 -c pytorch conda install pytorch=0.4.1 cuda80 -c pytorch conda install pytorch=0.4.1 -c pytorch # No CUDA

• torchvision-0.1.6-py3-none-any.whl
• torchvision-0.1.6-py2-none-any.whl
• torch-1.0.0-cp37-none-macosx_10_7_x86_64.whl
• torch-1.0.0-cp36-none-macosx_10_7_x86_64.whl
• torch-1.0.0-cp35-none-macosx_10_6_x86_64.whl
• torch-1.0.0-cp27-none-macosx_10_6_x86_64.whl
• torch-0.4.0-cp36-cp36m-macosx_10_7_x86_64.whl
• torch-0.4.0-cp35-cp35m-macosx_10_7_x86_64.whl
• torch-0.4.0-cp27-none-macosx_10_7_x86_64.whl
• torch-0.3.1-cp36-cp36m-macosx_10_7_x86_64.whl
• torch-0.3.1-cp35-cp35m-macosx_10_7_x86_64.whl
• torch-0.3.1-cp27-none-macosx_10_7_x86_64.whl
• torch-0.3.0.post4-cp36-cp36m-macosx_10_7_x86_64.whl
• torch-0.3.0.post4-cp35-cp35m-macosx_10_7_x86_64.whl
• torch-0.3.0.post4-cp27-none-macosx_10_7_x86_64.whl
• torch-0.2.0.post3-cp36-cp36m-macosx_10_7_x86_64.whl
• torch-0.2.0.post3-cp35-cp35m-macosx_10_7_x86_64.whl
• torch-0.2.0.post3-cp27-none-macosx_10_7_x86_64.whl
• torch-0.2.0.post2-cp36-cp36m-macosx_10_7_x86_64.whl
• torch-0.2.0.post2-cp35-cp35m-macosx_10_7_x86_64.whl
• torch-0.2.0.post2-cp27-none-macosx_10_7_x86_64.whl
• torch-0.2.0.post1-cp36-cp36m-macosx_10_7_x86_64.whl
• torch-0.2.0.post1-cp35-cp35m-macosx_10_7_x86_64.whl
• torch-0.2.0.post1-cp27-none-macosx_10_7_x86_64.whl
• torch-0.1.12.post2-cp36-cp36m-macosx_10_7_x86_64.whl
• torch-0.1.12.post2-cp35-cp35m-macosx_10_7_x86_64.whl
• torch-0.1.12.post2-cp27-none-macosx_10_7_x86_64.whl
• torch-0.1.12.post1-cp36-cp36m-macosx_10_7_x86_64.whl
• torch-0.1.12.post1-cp35-cp35m-macosx_10_7_x86_64.whl
• torch-0.1.12.post1-cp27-none-macosx_10_7_x86_64.whl
• torch-0.1.11.post5-cp36-cp36m-macosx_10_7_x86_64.whl
• torch-0.1.11.post5-cp35-cp35m-macosx_10_7_x86_64.whl
• torch-0.1.11.post5-cp27-none-macosx_10_7_x86_64.whl
• torch-0.1.11.post4-cp36-cp36m-macosx_10_7_x86_64.whl
• torch-0.1.11.post4-cp35-cp35m-macosx_10_7_x86_64.whl
• torch-0.1.11.post4-cp27-none-macosx_10_7_x86_64.whl
• torch-0.1.10.post1-cp36-cp36m-macosx_10_7_x86_64.whl
• torch-0.1.10.post1-cp35-cp35m-macosx_10_6_x86_64.whl
• torch-0.1.10.post1-cp27-none-macosx_10_7_x86_64.whl
• torch-0.1.9.post2-cp36-cp36m-macosx_10_7_x86_64.whl
• torch-0.1.9.post2-cp35-cp35m-macosx_10_6_x86_64.whl
• torch-0.1.9.post2-cp27-none-macosx_10_7_x86_64.whl
• torch-0.1.9.post1-cp36-cp36m-macosx_10_7_x86_64.whl
• torch-0.1.9.post1-cp35-cp35m-macosx_10_6_x86_64.whl
• torch-0.1.9.post1-cp27-none-macosx_10_7_x86_64.whl
• torch-0.1.8.post1-cp36-cp36m-macosx_10_7_x86_64.whl
• torch-0.1.8.post1-cp35-cp35m-macosx_10_6_x86_64.whl
• torch-0.1.8.post1-cp27-none-macosx_10_7_x86_64.whl
• torch-0.1.7.post2-cp36-cp36m-macosx_10_7_x86_64.whl
• torch-0.1.7.post2-cp35-cp35m-macosx_10_6_x86_64.whl
• torch-0.1.7.post2-cp27-none-macosx_10_7_x86_64.whl
• torch-0.1.6.post22-cp35-cp35m-macosx_10_6_x86_64.whl
• torch-0.1.6.post22-cp27-none-macosx_10_7_x86_64.whl
• torch-0.1.6.post20-cp35-cp35m-linux_x86_64.whl
• torch-0.1.6.post20-cp27-cp27mu-linux_x86_64.whl
• torch-0.1.6.post17-cp35-cp35m-linux_x86_64.whl
• torch-0.1.6.post17-cp27-cp27mu-linux_x86_64.whl
• torch-0.1-cp35-cp35m-macosx_10_6_x86_64.whl
• torch-0.1-cp27-cp27m-macosx_10_6_x86_64.whl
• torch_cuda80-0.1.6.post20-cp35-cp35m-linux_x86_64.whl
• torch_cuda80-0.1.6.post20-cp27-cp27mu-linux_x86_64.whl
• torch_cuda80-0.1.6.post17-cp35-cp35m-linux_x86_64.whl
• torch_cuda80-0.1.6.post17-cp27-cp27mu-linux_x86_64.whl

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