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如何下载pytorch的历史版本？

M4Y 2022-03-21 阅读 78
pytorchlinuxmacosxhtml


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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