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自学教程：PYTORCH和CUDA 版本对应关系

51自学网 2023-08-26 16:58:45

pytorch

这篇教程PYTORCH和CUDA 版本对应关系写得很实用，希望能帮到您。

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Previous PyTorch Versions
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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

v1.10.1

Conda

OSX

# conda
conda install pytorch==1.10.1 torchvision==0.11.2 torchaudio==0.10.1 -c pytorch

Linux and Windows

# CUDA 10.2
conda install pytorch==1.10.1 torchvision==0.11.2 torchaudio==0.10.1 cudatoolkit=10.2 -c pytorch

# CUDA 11.3
conda install pytorch==1.10.1 torchvision==0.11.2 torchaudio==0.10.1 cudatoolkit=11.3 -c pytorch -c conda-forge

# CPU Only
conda install pytorch==1.10.1 torchvision==0.11.2 torchaudio==0.10.1 cpuonly -c pytorch

Wheel

OSX

pip install torch==1.10.1 torchvision==0.11.2 torchaudio==0.10.1

Linux and Windows

# ROCM 4.2 (Linux only)
pip install torch==1.10.1+rocm4.2 torchvision==0.11.2+rocm4.2 torchaudio==0.10.1 -f https://download.pytorch.org/whl/torch_stable.html

# ROCM 4.1 (Linux only)
pip install torch==1.10.1+rocm4.1 torchvision==0.11.2+rocm4.1 torchaudio==0.10.1 -f https://download.pytorch.org/whl/torch_stable.html

# ROCM 4.0.1 (Linux only)
pip install torch==1.10.1+rocm4.0.1 torchvision==0.10.2+rocm4.0.1 torchaudio==0.10.1 -f https://download.pytorch.org/whl/torch_stable.html

# CUDA 11.1
pip install torch==1.10.1+cu111 torchvision==0.11.2+cu111 torchaudio==0.10.1 -f https://download.pytorch.org/whl/torch_stable.html

# CUDA 10.2
pip install torch==1.10.1+cu102 torchvision==0.11.2+cu102 torchaudio==0.10.1 -f https://download.pytorch.org/whl/torch_stable.html

# CPU only
pip install torch==1.10.1+cpu torchvision==0.11.2+cpu torchaudio==0.10.1 -f https://download.pytorch.org/whl/torch_stable.html

v1.10.0

Conda

OSX

# conda
conda install pytorch==1.10.0 torchvision==0.11.0 torchaudio==0.10.0 -c pytorch

Linux and Windows

# CUDA 10.2
conda install pytorch==1.10.0 torchvision==0.11.0 torchaudio==0.10.0 cudatoolkit=10.2 -c pytorch

# CUDA 11.3
conda install pytorch==1.10.0 torchvision==0.11.0 torchaudio==0.10.0 cudatoolkit=11.3 -c pytorch -c conda-forge

# CPU Only
conda install pytorch==1.10.0 torchvision==0.11.0 torchaudio==0.10.0 cpuonly -c pytorch

Wheel

OSX

pip install torch==1.10.0 torchvision==0.11.0 torchaudio==0.10.0

Linux and Windows

# ROCM 4.2 (Linux only)
pip install torch==1.10.0+rocm4.2 torchvision==0.11.0+rocm4.2 torchaudio==0.10.0 -f https://download.pytorch.org/whl/torch_stable.html

# ROCM 4.1 (Linux only)
pip install torch==1.10.0+rocm4.1 torchvision==0.11.0+rocm4.1 torchaudio==0.10.0 -f https://download.pytorch.org/whl/torch_stable.html

# ROCM 4.0.1 (Linux only)
pip install torch==1.10.0+rocm4.0.1 torchvision==0.10.1+rocm4.0.1 torchaudio==0.10.0 -f https://download.pytorch.org/whl/torch_stable.html

# CUDA 11.1
pip install torch==1.10.0+cu111 torchvision==0.11.0+cu111 torchaudio==0.10.0 -f https://download.pytorch.org/whl/torch_stable.html

# CUDA 10.2
pip install torch==1.10.0+cu102 torchvision==0.11.0+cu102 torchaudio==0.10.0 -f https://download.pytorch.org/whl/torch_stable.html

# CPU only
pip install torch==1.10.0+cpu torchvision==0.11.0+cpu torchaudio==0.10.0 -f https://download.pytorch.org/whl/torch_stable.html

v1.9.1

Conda

OSX

# conda
conda install pytorch==1.9.1 torchvision==0.10.1 torchaudio==0.9.1 -c pytorch

Linux and Windows

# CUDA 10.2
conda install pytorch==1.9.1 torchvision==0.10.1 torchaudio==0.9.1 cudatoolkit=10.2 -c pytorch

# CUDA 11.3
conda install pytorch==1.9.1 torchvision==0.10.1 torchaudio==0.9.1 cudatoolkit=11.3 -c pytorch -c conda-forge

# CPU Only
conda install pytorch==1.9.0 torchvision==0.10.1 torchaudio==0.9.1 cpuonly -c pytorch

Wheel

OSX

pip install torch==1.9.1 torchvision==0.10.1 torchaudio==0.9.1

Linux and Windows

# ROCM 4.2 (Linux only)
pip install torch==1.9.0+rocm4.2 torchvision==0.10.1+rocm4.2 torchaudio==0.9.1 -f https://download.pytorch.org/whl/torch_stable.html

# ROCM 4.1 (Linux only)
pip install torch==1.9.0+rocm4.1 torchvision==0.10.1+rocm4.1 torchaudio==0.9.1 -f https://download.pytorch.org/whl/torch_stable.html

# ROCM 4.0.1 (Linux only)
pip install torch==1.9.1+rocm4.0.1 torchvision==0.10.1+rocm4.0.1 torchaudio==0.9.1 -f https://download.pytorch.org/whl/torch_stable.html

# CUDA 11.1
pip install torch==1.9.1+cu111 torchvision==0.10.1+cu111 torchaudio==0.9.1 -f https://download.pytorch.org/whl/torch_stable.html

# CUDA 10.2
pip install torch==1.9.1+cu102 torchvision==0.10.1+cu102 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html

# CPU only
pip install torch==1.9.1+cpu torchvision==0.10.1+cpu torchaudio==0.9.1 -f https://download.pytorch.org/whl/torch_stable.html

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

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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pytorch运行时错误：输入和输出大小应该大于0，但得到了输入(H：1605，W：2)输出(H：799，W：0)