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如何下载pytorch的历史版本？

2021-11-18 1929
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简介： 如何下载pytorch的历史版本？

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


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

v1.6.0

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

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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