安装pytorch官网

gdengden

25183人浏览 · 2019-01-07 22:25:19

gdengden · 2019-01-07 22:25:19 发布

老版本：

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.

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

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 list below, and run

pip install /path/to/whl/file

You can also directly pass a URL to pip:

pip install https://download.pytorch.org/whl/cu80/torch-0.4.1-cp36-cp36m-linux_x86_64.whl

If you want no CUDA support, the URL would be something like https://download.pytorch.org/whl/cpu/torch-0.4.1-cp36-cp36m-linux_x86_64.whl

There are seven major lists below: Linux binaries compiled with CUDA 9.2, 9.1, 9.0, 8 and 7.5 support, Windows support, and Mac OSX & miscellaneous other binaries.

PyTorch Linux binaries compiled with CUDA 9.2

PyTorch Linux binaries compiled with CUDA 9.1

PyTorch Linux binaries compiled with CUDA 9.0

PyTorch Linux binaries compiled with CUDA 8

PyTorch Linux binaries compiled with CUDA 7.5

Linux No CUDA binaries

Windows binaries

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

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