PythonCUDA11.6安装PyTorch三件套

Posted 2023-04-05 ericdiii

由于PyTorch官网没有提供除适配CUDA10.3和11.3之外的安装方式，因此可以使用Nightly Binaries方式下载与自己CUDA版本合适的PyTorch

以CUDA11.6为例，在终端中输入以下指令：

1. 下载PyTorch

pip install torch --pre --extra-index-url https://download.pytorch.org/whl/nightly/cu116

2. 下载Torchvision

pip install torchvision --pre --extra-index-url https://download.pytorch.org/whl/nightly/cu116

3. 下载Torchaudio

pip install torchaudio --pre --extra-index-url https://download.pytorch.org/whl/nightly/cu116

或直接下载三件套：

pip install torch torchvision torchaudio --pre --extra-index-url https://download.pytorch.org/whl/nightly/cu116

检查PyTorch是否安装成功：

【Python】查看Python & PyTorch & Torchvision版本_ericdiii的博客-CSDN博客_python查看pytorch版本1. 查看Python版本：方法一:终端中输入：python -V方法二：进入Python环境python输入import sysprint(sys.version)print(sys.version_info)2. 查看PyTorch&TorchVision版本进入Python环境，并输入import torchprint(torch.__version__)3. 查看TorchVision版本进入Python环境，并输入https://blog.csdn.net/ericdiii/article/details/123343970?spm=1001.2014.3001.5502

参考：

[1] PyTorch + CUDA 11.6 - deployment - PyTorch Forums

[pytorch]pytorch官方安装法

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
v1.9.0
Conda
OSX
# conda
conda install pytorch==1.9.0 torchvision==0.10.0 torchaudio==0.9.0 -c pytorch
Linux and Windows
# CUDA 10.2
conda install pytorch==1.9.0 torchvision==0.10.0 torchaudio==0.9.0 cudatoolkit=10.2 -c pytorch

# CUDA 11.3
conda install pytorch==1.9.0 torchvision==0.10.0 torchaudio==0.9.0 cudatoolkit=11.3 -c pytorch -c conda-forge

# CPU Only
conda install pytorch==1.9.0 torchvision==0.10.0 torchaudio==0.9.0 cpuonly -c pytorch
Wheel
OSX
pip install torch==1.9.0 torchvision==0.10.0 torchaudio==0.9.0
Linux and Windows
# ROCM 4.2 (Linux only)
pip install torch==1.9.0+rocm4.2 torchvision==0.10.0+rocm4.2 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html

# ROCM 4.1 (Linux only)
pip install torch==1.9.0+rocm4.1 torchvision==0.10.0+rocm4.1 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html

# ROCM 4.0.1 (Linux only)
pip install torch==1.9.0+rocm4.0.1 torchvision==0.10.0+rocm4.0.1 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html

# CUDA 11.1
pip install torch==1.9.0+cu111 torchvision==0.10.0+cu111 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html

# CUDA 10.2
pip install torch==1.9.0+cu102 torchvision==0.10.0+cu102 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html

# CPU only
pip install torch==1.9.0+cpu torchvision==0.10.0+cpu torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html
v1.8.1
Conda
OSX
# conda
conda install pytorch==1.8.1 torchvision==0.9.1 torchaudio==0.8.1 -c pytorch
Linux and Windows
# CUDA 10.2
conda install pytorch==1.8.1 torchvision==0.9.1 torchaudio==0.8.1 cudatoolkit=10.2 -c pytorch

# CUDA 11.3
conda install pytorch==1.8.1 torchvision==0.9.1 torchaudio==0.8.1 cudatoolkit=11.3 -c pytorch -c conda-forge

# CPU Only
conda install pytorch==1.8.1 torchvision==0.9.1 torchaudio==0.8.1 cpuonly -c pytorch
Wheel
OSX
pip install torch==1.8.1 torchvision==0.9.1 torchaudio==0.8.1
Linux and Windows
# ROCM 4.0.1 (Linux only)
pip install torch==1.8.1+rocm4.0.1 torchvision==0.9.1+rocm4.0.1 torchaudio==0.8.1 -f https://download.pytorch.org/whl/torch_stable.html

# ROCM 3.10 (Linux only)
pip install torch==1.8.1+rocm3.10 torchvision==0.9.1+rocm3.10 torchaudio==0.8.1 -f https://download.pytorch.org/whl/torch_stable.html

# CUDA 11.1
pip install torch==1.8.1+cu111 torchvision==0.9.1+cu111 torchaudio==0.8.1 -f https://download.pytorch.org/whl/torch_stable.html

# CUDA 10.2
pip install torch==1.8.1+cu102 torchvision==0.9.1+cu102 torchaudio==0.8.1 -f https://download.pytorch.org/whl/torch_stable.html

# CUDA 10.1
pip install torch==1.8.1+cu101 torchvision==0.9.1+cu101 torchaudio==0.8.1 -f https://download.pytorch.org/whl/torch_stable.html

# CPU only
pip install torch==1.8.1+cpu torchvision==0.9.1+cpu torchaudio==0.8.1 -f https://download.pytorch.org/whl/torch_stable.html
v1.8.0
Conda
OSX
# conda
conda install pytorch==1.8.0 torchvision==0.9.0 torchaudio==0.8.0 -c pytorch
Linux and Windows
# CUDA 10.2
conda install pytorch==1.8.0 torchvision==0.9.0 torchaudio==0.8.0 cudatoolkit=10.2 -c pytorch

# CUDA 11.1
conda install pytorch==1.8.0 torchvision==0.9.0 torchaudio==0.8.0 cudatoolkit=11.1 -c pytorch -c conda-forge

# CPU Only
conda install pytorch==1.8.0 torchvision==0.9.0 torchaudio==0.8.0 cpuonly -c pytorch
Wheel
OSX
pip install torch==1.8.0 torchvision==0.9.0 torchaudio==0.8.0
Linux and Windows
# RocM 4.0.1 (Linux only)
pip install torch -f https://download.pytorch.org/whl/rocm4.0.1/torch_stable.html
pip install ninja
pip install 'git+https://github.com/pytorch/vision.git@v0.9.0'

# CUDA 11.1
pip install torch==1.8.0+cu111 torchvision==0.9.0+cu111 torchaudio==0.8.0 -f https://download.pytorch.org/whl/torch_stable.html

# CUDA 10.2
pip install torch==1.8.0 torchvision==0.9.0 torchaudio==0.8.0

# CPU only
pip install torch==1.8.0+cpu torchvision==0.9.0+cpu torchaudio==0.8.0 -f https://download.pytorch.org/whl/torch_stable.html
v1.7.1
Conda
OSX
# conda
conda install pytorch==1.7.1 torchvision==0.8.2 torchaudio==0.7.2 -c pytorch
Linux and Windows
# CUDA 9.2
conda install pytorch==1.7.1 torchvision==0.8.2 torchaudio==0.7.2 cudatoolkit=9.2 -c pytorch

# CUDA 10.1
conda install pytorch==1.7.1 torchvision==0.8.2 torchaudio==0.7.2 cudatoolkit=10.1 -c pytorch

# CUDA 10.2
conda install pytorch==1.7.1 torchvision==0.8.2 torchaudio==0.7.2 cudatoolkit=10.2 -c pytorch

# CUDA 11.0
conda install pytorch==1.7.1 torchvision==0.8.2 torchaudio==0.7.2 cudatoolkit=11.0 -c pytorch

# CPU Only
conda install pytorch==1.7.1 torchvision==0.8.2 torchaudio==0.7.2 cpuonly -c pytorch
Wheel
OSX
pip install torch==1.7.1 torchvision==0.8.2 torchaudio==0.7.2
Linux and Windows
# CUDA 11.0
pip install torch==1.7.1+cu110 torchvision==0.8.2+cu110 torchaudio==0.7.2 -f https://download.pytorch.org/whl/torch_stable.html

# CUDA 10.2
pip install torch==1.7.1 torchvision==0.8.2 torchaudio==0.7.2

# CUDA 10.1
pip install torch==1.7.1+cu101 torchvision==0.8.2+cu101 torchaudio==0.7.2 -f https://download.pytorch.org/whl/torch_stable.html

# CUDA 9.2
pip install torch==1.7.1+cu92 torchvision==0.8.2+cu92 torchaudio==0.7.2 -f https://download.pytorch.org/whl/torch_stable.html

# CPU only
pip install torch==1.7.1+cpu torchvision==0.8.2+cpu torchaudio==0.7.2 -f https://download.pytorch.org/whl/torch_stable.html
v1.7.0
Conda
OSX
# conda
conda install pytorch==1.7.0 torchvision==0.8.0 torchaudio==0.7.0 -c pytorch
Linux and Windows
# CUDA 9.2
conda install pytorch==1.7.0 torchvision==0.8.0 torchaudio==0.7.0 cudatoolkit=9.2 -c pytorch

# CUDA 10.1
conda install pytorch==1.7.0 torchvision==0.8.0 torchaudio==0.7.0 cudatoolkit=10.1 -c pytorch

# CUDA 10.2
conda install pytorch==1.7.0 torchvision==0.8.0 torchaudio==0.7.0 cudatoolkit=10.2 -c pytorch

# CUDA 11.0
conda install pytorch==1.7.0 torchvision==0.8.0 torchaudio==0.7.0 cudatoolkit=11.0 -c pytorch

# CPU Only
conda install pytorch==1.7.0 torchvision==0.8.0 torchaudio==0.7.0 cpuonly -c pytorch
Wheel
OSX
pip install torch==1.7.0 torchvision==0.8.0 torchaudio==0.7.0
Linux and Windows
# CUDA 11.0
pip install torch==1.7.0+cu110 torchvision==0.8.0+cu110 torchaudio==0.7.0 -f https://download.pytorch.org/whl/torch_stable.html

# CUDA 10.2
pip install torch==1.7.0 torchvision==0.8.0 torchaudio==0.7.0

# CUDA 10.1
pip install torch==1.7.0+cu101 torchvision==0.8.0+cu101 torchaudio==0.7.0 -f https://download.pytorch.org/whl/torch_stable.html

# CUDA 9.2
pip install torch==1.7.0+cu92 torchvision==0.8.0+cu92 torchaudio==0.7.0 -f https://download.pytorch.org/whl/torch_stable.html

# CPU only
pip install torch==1.7.0+cpu torchvision==0.8.0+cpu torchaudio==0.7.0 -f https://download.pytorch.org/whl/torch_stable.html
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