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 buildThen, 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-many Linux 1_x86_64.whl cu75/torch-0.2.0.post3-cp35-cp35m-many Linux 1_x86_64.whl cu75/torch-0.2.0.post3-cp27-cp27mu-many Linux 1_x86_64.whl cu75/torch-0.2.0.post3-cp27-cp27m-many Linux 1_x86_64.whl cu75/torch-0.2.0.post2-cp36-cp36m-many Linux 1_x86_64.whl cu75/torch-0.2.0.post2-cp35-cp35m-many Linux 1_x86_64.whl cu75/torch-0.2.0.post2-cp27-cp27mu-many Linux 1_x86_64.whl cu75/torch-0.2.0.post2-cp27-cp27m-many Linux 1_x86_64.whl cu75/torch-0.2.0.post1-cp36-cp36m-many Linux 1_x86_64.whl cu75/torch-0.2.0.post1-cp35-cp35m-many Linux 1_x86_64.whl cu75/torch-0.2.0.post1-cp27-cp27mu-many Linux 1_x86_64.whl cu75/torch-0.2.0.post1-cp27-cp27m-many Linux 1_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.whlWindows 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.whlMac 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查看更多关于如何下载pytorch的历史版本？的详细内容...
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