Installing previous versions of PyTorch

我们希望您安装最新版本 ,但为方便起见,下面提供了旧的二进制文件和安装说明.

Commands for Versions >= 1.0.0

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 -f https://download.pytorch.org/whl/torch_stable.html

# 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

Commands for Versions < 1.0.0

Via conda

这应该用于大多数以前的macOS版本安装.

要通过Anaconda或Miniconda安装PyTorch的先前版本,请用所需的版本(即" 0.2.0")替换以下命令中的" 0.4.1".

使用CUDA 9安装

conda install pytorch=0.4.1 cuda90 -c pytorch

or

conda install pytorch=0.4.1 cuda92 -c pytorch

使用CUDA 8安装

conda install pytorch=0.4.1 cuda80 -c pytorch

使用CUDA 7.5安装

conda install pytorch=0.4.1 cuda75 -c pytorch

不使用CUDA进行安装

conda install pytorch=0.4.1 -c pytorch

From source

可以签出较旧版本的PyTorch并进行构建. 您可以使用git tag标签在PyTorch git存储库中列出标签,并签出特定的git tag (用所需的版本替换" 0.1.9")

git checkout v0.1.9

按照PyTorch结帐的README.md中的从源安装说明进行操作.

Via pip

从以下html页面下载带有所需版本的whl文件:

然后,使用pip install [downloaded file]

注意:大多数pytorch版本仅适用于特定的CUDA版本. 例如pytorch = 1.0.1不适用于CUDA 9.2

(Old) PyTorch Linux binaries compiled with CUDA 7.5

这些早于上面的html页面,并且必须通过下载wheel文件和pip install downloaded_file进行手动安装.

Windows binaries

Mac and misc. binaries

对于最新的macOS二进制文件,请使用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 #没有CUDA