安装 PyTorch 的历史版本
我们建议您安装 最新版本,但为了方便起见,我们提供了以下旧版二进制文件和安装说明。
版本 >= 1.0.0 的命令
v2.4.1
Conda
OSX
# conda
conda install pytorch==2.4.1 torchvision==0.19.1 torchaudio==2.4.1 -c pytorch
Linux 和 Windows
# CUDA 11.8
conda install pytorch==2.4.1 torchvision==0.19.1 torchaudio==2.4.1 pytorch-cuda=11.8 -c pytorch -c nvidia
# CUDA 12.1
conda install pytorch==2.4.1 torchvision==0.19.1 torchaudio==2.4.1 pytorch-cuda=12.1 -c pytorch -c nvidia
# CUDA 12.4
conda install pytorch==2.4.1 torchvision==0.19.1 torchaudio==2.4.1 pytorch-cuda=12.4 -c pytorch -c nvidia
# CPU Only
conda install pytorch==2.4.1 torchvision==0.19.1 torchaudio==2.4.1 cpuonly -c pytorch
Wheel
OSX
pip install torch==2.4.1 torchvision==0.19.1 torchaudio==2.4.1
Linux 和 Windows
# ROCM 6.1 (Linux only)
pip install torch==2.4.1 torchvision==0.19.1 torchaudio==2.4.1 --index-url https://download.pytorch.org/whl/rocm6.1
# CUDA 11.8
pip install torch==2.4.1 torchvision==0.19.1 torchaudio==2.4.1 --index-url https://download.pytorch.org/whl/cu118
# CUDA 12.1
pip install torch==2.4.1 torchvision==0.19.1 torchaudio==2.4.1 --index-url https://download.pytorch.org/whl/cu121
# CUDA 12.4
pip install torch==2.4.1 torchvision==0.19.1 torchaudio==2.4.1 --index-url https://download.pytorch.org/whl/cu124
# CPU only
pip install torch==2.4.1 torchvision==0.19.1 torchaudio==2.4.1 --index-url https://download.pytorch.org/whl/cpu
v2.4.0
Conda
OSX
# conda
conda install pytorch==2.4.0 torchvision==0.19.0 torchaudio==2.4.0 -c pytorch
Linux 和 Windows
# CUDA 11.8
conda install pytorch==2.4.0 torchvision==0.19.0 torchaudio==2.4.0 pytorch-cuda=11.8 -c pytorch -c nvidia
# CUDA 12.1
conda install pytorch==2.4.0 torchvision==0.19.0 torchaudio==2.4.0 pytorch-cuda=12.1 -c pytorch -c nvidia
# CUDA 12.4
conda install pytorch==2.4.0 torchvision==0.19.0 torchaudio==2.4.0 pytorch-cuda=12.4 -c pytorch -c nvidia
# CPU Only
conda install pytorch==2.4.0 torchvision==0.19.0 torchaudio==2.4.0 cpuonly -c pytorch
Wheel
OSX
pip install torch==2.4.0 torchvision==0.19.0 torchaudio==2.4.0
Linux 和 Windows
# ROCM 6.1 (Linux only)
pip install torch==2.4.0 torchvision==0.19.0 torchaudio==2.4.0 --index-url https://download.pytorch.org/whl/rocm6.1
# CUDA 11.8
pip install torch==2.4.0 torchvision==0.19.0 torchaudio==2.4.0 --index-url https://download.pytorch.org/whl/cu118
# CUDA 12.1
pip install torch==2.4.0 torchvision==0.19.0 torchaudio==2.4.0 --index-url https://download.pytorch.org/whl/cu121
# CUDA 12.4
pip install torch==2.4.0 torchvision==0.19.0 torchaudio==2.4.0 --index-url https://download.pytorch.org/whl/cu124
# CPU only
pip install torch==2.4.0 torchvision==0.19.0 torchaudio==2.4.0 --index-url https://download.pytorch.org/whl/cpu
v2.3.1
Conda
OSX
# conda
conda install pytorch==2.3.1 torchvision==0.18.1 torchaudio==2.3.1 -c pytorch
Linux 和 Windows
# CUDA 11.8
conda install pytorch==2.3.1 torchvision==0.18.1 torchaudio==2.3.1 pytorch-cuda=11.8 -c pytorch -c nvidia
# CUDA 12.1
conda install pytorch==2.3.1 torchvision==0.18.1 torchaudio==2.3.1 pytorch-cuda=12.1 -c pytorch -c nvidia
# CPU Only
conda install pytorch==2.3.1 torchvision==0.18.1 torchaudio==2.3.1 cpuonly -c pytorch
Wheel
OSX
pip install torch==2.3.1 torchvision==0.18.1 torchaudio==2.3.1
Linux 和 Windows
# ROCM 6.0 (Linux only)
pip install torch==2.3.1 torchvision==0.18.1 torchaudio==2.3.1 --index-url https://download.pytorch.org/whl/rocm6.0
# CUDA 11.8
pip install torch==2.3.1 torchvision==0.18.1 torchaudio==2.3.1 --index-url https://download.pytorch.org/whl/cu118
# CUDA 12.1
pip install torch==2.3.1 torchvision==0.18.1 torchaudio==2.3.1 --index-url https://download.pytorch.org/whl/cu121
# CPU only
pip install torch==2.3.1 torchvision==0.18.1 torchaudio==2.3.1 --index-url https://download.pytorch.org/whl/cpu
v2.3.0
Conda
OSX
# conda
conda install pytorch==2.3.0 torchvision==0.18.0 torchaudio==2.3.0 -c pytorch
Linux 和 Windows
# CUDA 11.8
conda install pytorch==2.3.0 torchvision==0.18.0 torchaudio==2.3.0 pytorch-cuda=11.8 -c pytorch -c nvidia
# CUDA 12.1
conda install pytorch==2.3.0 torchvision==0.18.0 torchaudio==2.3.0 pytorch-cuda=12.1 -c pytorch -c nvidia
# CPU Only
conda install pytorch==2.3.0 torchvision==0.18.0 torchaudio==2.3.0 cpuonly -c pytorch
Wheel
OSX
pip install torch==2.3.0 torchvision==0.18.0 torchaudio==2.3.0
Linux 和 Windows
# ROCM 6.0 (Linux only)
pip install torch==2.3.0 torchvision==0.18.0 torchaudio==2.3.0 --index-url https://download.pytorch.org/whl/rocm6.0
# CUDA 11.8
pip install torch==2.3.0 torchvision==0.18.0 torchaudio==2.3.0 --index-url https://download.pytorch.org/whl/cu118
# CUDA 12.1
pip install torch==2.3.0 torchvision==0.18.0 torchaudio==2.3.0 --index-url https://download.pytorch.org/whl/cu121
# CPU only
pip install torch==2.3.0 torchvision==0.18.0 torchaudio==2.3.0 --index-url https://download.pytorch.org/whl/cpu
v2.2.2
Conda
OSX
# conda
conda install pytorch==2.2.2 torchvision==0.17.2 torchaudio==2.2.2 -c pytorch
Linux 和 Windows
# CUDA 11.8
conda install pytorch==2.2.2 torchvision==0.17.2 torchaudio==2.2.2 pytorch-cuda=11.8 -c pytorch -c nvidia
# CUDA 12.1
conda install pytorch==2.2.2 torchvision==0.17.2 torchaudio==2.2.2 pytorch-cuda=12.1 -c pytorch -c nvidia
# CPU Only
conda install pytorch==2.2.2 torchvision==0.17.2 torchaudio==2.2.2 cpuonly -c pytorch
Wheel
OSX
pip install torch==2.2.2 torchvision==0.17.2 torchaudio==2.2.2
Linux 和 Windows
# ROCM 5.7 (Linux only)
pip install torch==2.2.2 torchvision==0.17.2 torchaudio==2.2.2 --index-url https://download.pytorch.org/whl/rocm5.7
# CUDA 11.8
pip install torch==2.2.2 torchvision==0.17.2 torchaudio==2.2.2 --index-url https://download.pytorch.org/whl/cu118
# CUDA 12.1
pip install torch==2.2.2 torchvision==0.17.2 torchaudio==2.2.2 --index-url https://download.pytorch.org/whl/cu121
# CPU only
pip install torch==2.2.2 torchvision==0.17.2 torchaudio==2.2.2 --index-url https://download.pytorch.org/whl/cpu
v2.2.1
Conda
OSX
# conda
conda install pytorch==2.2.1 torchvision==0.17.1 torchaudio==2.2.1 -c pytorch
Linux 和 Windows
# CUDA 11.8
conda install pytorch==2.2.1 torchvision==0.17.1 torchaudio==2.2.1 pytorch-cuda=11.8 -c pytorch -c nvidia
# CUDA 12.1
conda install pytorch==2.2.1 torchvision==0.17.1 torchaudio==2.2.1 pytorch-cuda=12.1 -c pytorch -c nvidia
# CPU Only
conda install pytorch==2.2.1 torchvision==0.17.1 torchaudio==2.2.1 cpuonly -c pytorch
Wheel
OSX
pip install torch==2.2.1 torchvision==0.17.1 torchaudio==2.2.1
Linux 和 Windows
# ROCM 5.7 (Linux only)
pip install torch==2.2.1 torchvision==0.17.1 torchaudio==2.2.1 --index-url https://download.pytorch.org/whl/rocm5.7
# CUDA 11.8
pip install torch==2.2.1 torchvision==0.17.1 torchaudio==2.2.1 --index-url https://download.pytorch.org/whl/cu118
# CUDA 12.1
pip install torch==2.2.1 torchvision==0.17.1 torchaudio==2.2.1 --index-url https://download.pytorch.org/whl/cu121
# CPU only
pip install torch==2.2.1 torchvision==0.17.1 torchaudio==2.2.1 --index-url https://download.pytorch.org/whl/cpu
v2.2.0
Conda
OSX
# conda
conda install pytorch==2.2.0 torchvision==0.17.0 torchaudio==2.2.0 -c pytorch
Linux 和 Windows
# CUDA 11.8
conda install pytorch==2.2.0 torchvision==0.17.0 torchaudio==2.2.0 pytorch-cuda=11.8 -c pytorch -c nvidia
# CUDA 12.1
conda install pytorch==2.2.0 torchvision==0.17.0 torchaudio==2.2.0 pytorch-cuda=12.1 -c pytorch -c nvidia
# CPU Only
conda install pytorch==2.2.0 torchvision==0.17.0 torchaudio==2.2.0 cpuonly -c pytorch
Wheel
OSX
pip install torch==2.2.0 torchvision==0.17.0 torchaudio==2.2.0
Linux 和 Windows
# ROCM 5.6 (Linux only)
pip install torch==2.2.0 torchvision==0.17.0 torchaudio==2.2.0 --index-url https://download.pytorch.org/whl/rocm5.6
# CUDA 11.8
pip install torch==2.2.0 torchvision==0.17.0 torchaudio==2.2.0 --index-url https://download.pytorch.org/whl/cu118
# CUDA 12.1
pip install torch==2.2.0 torchvision==0.17.0 torchaudio==2.2.0 --index-url https://download.pytorch.org/whl/cu121
# CPU only
pip install torch==2.2.0 torchvision==0.17.0 torchaudio==2.2.0 --index-url https://download.pytorch.org/whl/cpu
v2.1.2
Conda
OSX
# conda
conda install pytorch==2.1.2 torchvision==0.16.2 torchaudio==2.1.2 -c pytorch
Linux 和 Windows
# CUDA 11.8
conda install pytorch==2.1.2 torchvision==0.16.2 torchaudio==2.1.2 pytorch-cuda=11.8 -c pytorch -c nvidia
# CUDA 12.1
conda install pytorch==2.1.2 torchvision==0.16.2 torchaudio==2.1.2 pytorch-cuda=12.1 -c pytorch -c nvidia
# CPU Only
conda install pytorch==2.1.2 torchvision==0.16.2 torchaudio==2.1.2 cpuonly -c pytorch
Wheel
OSX
pip install torch==2.1.2 torchvision==0.16.2 torchaudio==2.1.2
Linux 和 Windows
# ROCM 5.6 (Linux only)
pip install torch==2.1.2 torchvision==0.16.2 torchaudio==2.1.2 --index-url https://download.pytorch.org/whl/rocm5.6
# CUDA 11.8
pip install torch==2.1.2 torchvision==0.16.2 torchaudio==2.1.2 --index-url https://download.pytorch.org/whl/cu118
# CUDA 12.1
pip install torch==2.1.2 torchvision==0.16.2 torchaudio==2.1.2 --index-url https://download.pytorch.org/whl/cu121
# CPU only
pip install torch==2.1.2 torchvision==0.16.2 torchaudio==2.1.2 --index-url https://download.pytorch.org/whl/cpu
v2.1.1
Conda
OSX
# conda
conda install pytorch==2.1.1 torchvision==0.16.1 torchaudio==2.1.1 -c pytorch
Linux 和 Windows
# CUDA 11.8
conda install pytorch==2.1.1 torchvision==0.16.1 torchaudio==2.1.1 pytorch-cuda=11.8 -c pytorch -c nvidia
# CUDA 12.1
conda install pytorch==2.1.1 torchvision==0.16.1 torchaudio==2.1.1 pytorch-cuda=12.1 -c pytorch -c nvidia
# CPU Only
conda install pytorch==2.1.1 torchvision==0.16.1 torchaudio==2.1.1 cpuonly -c pytorch
Wheel
OSX
pip install torch==2.1.1 torchvision==0.16.1 torchaudio==2.1.1
Linux 和 Windows
# ROCM 5.6 (Linux only)
pip install torch==2.1.1 torchvision==0.16.1 torchaudio==2.1.1 --index-url https://download.pytorch.org/whl/rocm5.6
# CUDA 11.8
pip install torch==2.1.1 torchvision==0.16.1 torchaudio==2.1.1 --index-url https://download.pytorch.org/whl/cu118
# CUDA 12.1
pip install torch==2.1.1 torchvision==0.16.1 torchaudio==2.1.1 --index-url https://download.pytorch.org/whl/cu121
# CPU only
pip install torch==2.1.1 torchvision==0.16.1 torchaudio==2.1.1 --index-url https://download.pytorch.org/whl/cpu
v2.1.0
Conda
OSX
# conda
conda install pytorch==2.1.0 torchvision==0.16.0 torchaudio==2.1.0 -c pytorch
Linux 和 Windows
# CUDA 11.8
conda install pytorch==2.1.0 torchvision==0.16.0 torchaudio==2.1.0 pytorch-cuda=11.8 -c pytorch -c nvidia
# CUDA 12.1
conda install pytorch==2.1.0 torchvision==0.16.0 torchaudio==2.1.0 pytorch-cuda=12.1 -c pytorch -c nvidia
# CPU Only
conda install pytorch==2.1.0 torchvision==0.16.0 torchaudio==2.1.0 cpuonly -c pytorch
Wheel
OSX
pip install torch==2.1.0 torchvision==0.16.0 torchaudio==2.1.0
Linux 和 Windows
# ROCM 5.6 (Linux only)
pip install torch==2.1.0 torchvision==0.16.0 torchaudio==2.1.0 --index-url https://download.pytorch.org/whl/rocm5.6
# CUDA 11.8
pip install torch==2.1.0 torchvision==0.16.0 torchaudio==2.1.0 --index-url https://download.pytorch.org/whl/cu118
# CUDA 12.1
pip install torch==2.1.0 torchvision==0.16.0 torchaudio==2.1.0 --index-url https://download.pytorch.org/whl/cu121
# CPU only
pip install torch==2.1.0 torchvision==0.16.0 torchaudio==2.1.0 --index-url https://download.pytorch.org/whl/cpu
v2.0.1
Conda
OSX
# conda
conda install pytorch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 -c pytorch
Linux 和 Windows
# CUDA 11.7
conda install pytorch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 pytorch-cuda=11.7 -c pytorch -c nvidia
# CUDA 11.8
conda install pytorch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 pytorch-cuda=11.8 -c pytorch -c nvidia
# CPU Only
conda install pytorch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 cpuonly -c pytorch
Wheel
OSX
pip install torch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2
Linux 和 Windows
# ROCM 5.4.2 (Linux only)
pip install torch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 --index-url https://download.pytorch.org/whl/rocm5.4.2
# CUDA 11.7
pip install torch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2
# CUDA 11.8
pip install torch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 --index-url https://download.pytorch.org/whl/cu118
# CPU only
pip install torch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 --index-url https://download.pytorch.org/whl/cpu
v2.0.0
Conda
OSX
# conda
conda install pytorch==2.0.0 torchvision==0.15.0 torchaudio==2.0.0 -c pytorch
Linux 和 Windows
# CUDA 11.7
conda install pytorch==2.0.0 torchvision==0.15.0 torchaudio==2.0.0 pytorch-cuda=11.7 -c pytorch -c nvidia
# CUDA 11.8
conda install pytorch==2.0.0 torchvision==0.15.0 torchaudio==2.0.0 pytorch-cuda=11.8 -c pytorch -c nvidia
# CPU Only
conda install pytorch==2.0.0 torchvision==0.15.0 torchaudio==2.0.0 cpuonly -c pytorch
Wheel
OSX
pip install torch==2.0.0 torchvision==0.15.1 torchaudio==2.0.1
Linux 和 Windows
# ROCM 5.4.2 (Linux only)
pip install torch==2.0.0 torchvision==0.15.1 torchaudio==2.0.1 --index-url https://download.pytorch.org/whl/rocm5.4.2
# CUDA 11.7
pip install torch==2.0.0 torchvision==0.15.1 torchaudio==2.0.1
# CUDA 11.8
pip install torch==2.0.0 torchvision==0.15.1 torchaudio==2.0.1 --index-url https://download.pytorch.org/whl/cu118
# CPU only
pip install torch==2.0.0 torchvision==0.15.1 torchaudio==2.0.1 --index-url https://download.pytorch.org/whl/cpu
v1.13.1
Conda
OSX
# conda
conda install pytorch==1.13.1 torchvision==0.14.1 torchaudio==0.13.1 -c pytorch
Linux 和 Windows
# CUDA 11.6
conda install pytorch==1.13.1 torchvision==0.14.1 torchaudio==0.13.1 pytorch-cuda=11.6 -c pytorch -c nvidia
# CUDA 11.7
conda install pytorch==1.13.1 torchvision==0.14.1 torchaudio==0.13.1 pytorch-cuda=11.7 -c pytorch -c nvidia
# CPU Only
conda install pytorch==1.13.1 torchvision==0.14.1 torchaudio==0.13.1 cpuonly -c pytorch
Wheel
OSX
pip install torch==1.13.1 torchvision==0.14.1 torchaudio==0.13.1
Linux 和 Windows
# ROCM 5.2 (Linux only)
pip install torch==1.13.1+rocm5.2 torchvision==0.14.1+rocm5.2 torchaudio==0.13.1 --extra-index-url https://download.pytorch.org/whl/rocm5.2
# CUDA 11.6
pip install torch==1.13.1+cu116 torchvision==0.14.1+cu116 torchaudio==0.13.1 --extra-index-url https://download.pytorch.org/whl/cu116
# CUDA 11.7
pip install torch==1.13.1+cu117 torchvision==0.14.1+cu117 torchaudio==0.13.1 --extra-index-url https://download.pytorch.org/whl/cu117
# CPU only
pip install torch==1.13.1+cpu torchvision==0.14.1+cpu torchaudio==0.13.1 --extra-index-url https://download.pytorch.org/whl/cpu
v1.13.0
Conda
OSX
# conda
conda install pytorch==1.13.0 torchvision==0.14.0 torchaudio==0.13.0 -c pytorch
Linux 和 Windows
# CUDA 11.6
conda install pytorch==1.13.0 torchvision==0.14.0 torchaudio==0.13.0 pytorch-cuda=11.6 -c pytorch -c nvidia
# CUDA 11.7
conda install pytorch==1.13.0 torchvision==0.14.0 torchaudio==0.13.0 pytorch-cuda=11.7 -c pytorch -c nvidia
# CPU Only
conda install pytorch==1.13.0 torchvision==0.14.0 torchaudio==0.13.0 cpuonly -c pytorch
Wheel
OSX
pip install torch==1.13.0 torchvision==0.14.0 torchaudio==0.13.0
Linux 和 Windows
# ROCM 5.2 (Linux only)
pip install torch==1.13.0+rocm5.2 torchvision==0.14.0+rocm5.2 torchaudio==0.13.0 --extra-index-url https://download.pytorch.org/whl/rocm5.2
# CUDA 11.6
pip install torch==1.13.0+cu116 torchvision==0.14.0+cu116 torchaudio==0.13.0 --extra-index-url https://download.pytorch.org/whl/cu116
# CUDA 11.7
pip install torch==1.13.0+cu117 torchvision==0.14.0+cu117 torchaudio==0.13.0 --extra-index-url https://download.pytorch.org/whl/cu117
# CPU only
pip install torch==1.13.0+cpu torchvision==0.14.0+cpu torchaudio==0.13.0 --extra-index-url https://download.pytorch.org/whl/cpu
v1.12.1
Conda
OSX
# conda
conda install pytorch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1 -c pytorch
Linux 和 Windows
# CUDA 10.2
conda install pytorch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1 cudatoolkit=10.2 -c pytorch
# CUDA 11.3
conda install pytorch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1 cudatoolkit=11.3 -c pytorch
# CUDA 11.6
conda install pytorch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1 cudatoolkit=11.6 -c pytorch -c conda-forge
# CPU Only
conda install pytorch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1 cpuonly -c pytorch
Wheel
OSX
pip install torch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1
Linux 和 Windows
# ROCM 5.1.1 (Linux only)
pip install torch==1.12.1+rocm5.1.1 torchvision==0.13.1+rocm5.1.1 torchaudio==0.12.1 --extra-index-url https://download.pytorch.org/whl/rocm5.1.1
# CUDA 11.6
pip install torch==1.12.1+cu116 torchvision==0.13.1+cu116 torchaudio==0.12.1 --extra-index-url https://download.pytorch.org/whl/cu116
# CUDA 11.3
pip install torch==1.12.1+cu113 torchvision==0.13.1+cu113 torchaudio==0.12.1 --extra-index-url https://download.pytorch.org/whl/cu113
# CUDA 10.2
pip install torch==1.12.1+cu102 torchvision==0.13.1+cu102 torchaudio==0.12.1 --extra-index-url https://download.pytorch.org/whl/cu102
# CPU only
pip install torch==1.12.1+cpu torchvision==0.13.1+cpu torchaudio==0.12.1 --extra-index-url https://download.pytorch.org/whl/cpu
v1.12.0
Conda
OSX
# conda
conda install pytorch==1.12.0 torchvision==0.13.0 torchaudio==0.12.0 -c pytorch
Linux 和 Windows
# CUDA 10.2
conda install pytorch==1.12.0 torchvision==0.13.0 torchaudio==0.12.0 cudatoolkit=10.2 -c pytorch
# CUDA 11.3
conda install pytorch==1.12.0 torchvision==0.13.0 torchaudio==0.12.0 cudatoolkit=11.3 -c pytorch
# CUDA 11.6
conda install pytorch==1.12.0 torchvision==0.13.0 torchaudio==0.12.0 cudatoolkit=11.6 -c pytorch -c conda-forge
# CPU Only
conda install pytorch==1.12.0 torchvision==0.13.0 torchaudio==0.12.0 cpuonly -c pytorch
Wheel
OSX
pip install torch==1.12.0 torchvision==0.13.0 torchaudio==0.12.0
Linux 和 Windows
# ROCM 5.1.1 (Linux only)
pip install torch==1.12.0+rocm5.1.1 torchvision==0.13.0+rocm5.1.1 torchaudio==0.12.0 --extra-index-url https://download.pytorch.org/whl/rocm5.1.1
# CUDA 11.6
pip install torch==1.12.0+cu116 torchvision==0.13.0+cu116 torchaudio==0.12.0 --extra-index-url https://download.pytorch.org/whl/cu116
# CUDA 11.3
pip install torch==1.12.0+cu113 torchvision==0.13.0+cu113 torchaudio==0.12.0 --extra-index-url https://download.pytorch.org/whl/cu113
# CUDA 10.2
pip install torch==1.12.0+cu102 torchvision==0.13.0+cu102 torchaudio==0.12.0 --extra-index-url https://download.pytorch.org/whl/cu102
# CPU only
pip install torch==1.12.0+cpu torchvision==0.13.0+cpu torchaudio==0.12.0 --extra-index-url https://download.pytorch.org/whl/cpu
v1.11.0
Conda
OSX
# conda
conda install pytorch==1.11.0 torchvision==0.12.0 torchaudio==0.11.0 -c pytorch
Linux 和 Windows
# CUDA 10.2
conda install pytorch==1.11.0 torchvision==0.12.0 torchaudio==0.11.0 cudatoolkit=10.2 -c pytorch
# CUDA 11.3
conda install pytorch==1.11.0 torchvision==0.12.0 torchaudio==0.11.0 cudatoolkit=11.3 -c pytorch
# CPU Only
conda install pytorch==1.11.0 torchvision==0.12.0 torchaudio==0.11.0 cpuonly -c pytorch
Wheel
OSX
pip install torch==1.11.0 torchvision==0.12.0 torchaudio==0.11.0
Linux 和 Windows
# ROCM 4.5.2 (Linux only)
pip install torch==1.11.0+rocm4.5.2 torchvision==0.12.0+rocm4.5.2 torchaudio==0.11.0 --extra-index-url https://download.pytorch.org/whl/rocm4.5.2
# CUDA 11.3
pip install torch==1.11.0+cu113 torchvision==0.12.0+cu113 torchaudio==0.11.0 --extra-index-url https://download.pytorch.org/whl/cu113
# CUDA 10.2
pip install torch==1.11.0+cu102 torchvision==0.12.0+cu102 torchaudio==0.11.0 --extra-index-url https://download.pytorch.org/whl/cu102
# CPU only
pip install torch==1.11.0+cpu torchvision==0.12.0+cpu torchaudio==0.11.0 --extra-index-url https://download.pytorch.org/whl/cpu
v1.10.1
Conda
OSX
# conda
conda install pytorch==1.10.1 torchvision==0.11.2 torchaudio==0.10.1 -c pytorch
Linux 和 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 和 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/rocm4.2/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/cu111/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/cu102/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/cpu/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 和 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 和 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 和 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==1.9.1 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 和 Windows
# ROCM 4.2 (Linux only)
pip install torch==1.9.1+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==1.9.1+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==0.9.1 -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 和 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 和 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
v1.8.2,支持 LTS
Conda
OSX
macOS 目前不支持 LTS。
Linux 和 Windows
# CUDA 10.2
# NOTE: PyTorch LTS version 1.8.2 is only supported for Python <= 3.8.
conda install pytorch torchvision torchaudio cudatoolkit=10.2 -c pytorch-lts
# CUDA 11.1 (Linux)
# NOTE: 'nvidia' channel is required for cudatoolkit 11.1 <br> <b>NOTE:</b> Pytorch LTS version 1.8.2 is only supported for Python <= 3.8.
conda install pytorch torchvision torchaudio cudatoolkit=11.1 -c pytorch-lts -c nvidia
# CUDA 11.1 (Windows)
# 'conda-forge' channel is required for cudatoolkit 11.1 <br> <b>NOTE:</b> Pytorch LTS version 1.8.2 is only supported for Python <= 3.8.
conda install pytorch torchvision torchaudio cudatoolkit=11.1 -c pytorch-lts -c conda-forge
# CPU Only
# Pytorch LTS version 1.8.2 is only supported for Python <= 3.8.
conda install pytorch torchvision torchaudio cpuonly -c pytorch-lts
# ROCM5.x
Not supported in LTS.
Wheel
OSX
macOS 目前不支持 LTS。
Linux 和 Windows
# CUDA 10.2
pip3 install torch==1.8.2 torchvision==0.9.2 torchaudio==0.8.2 --extra-index-url https://download.pytorch.org/whl/lts/1.8/cu102
# CUDA 11.1
pip3 install torch==1.8.2 torchvision==0.9.2 torchaudio==0.8.2 --extra-index-url https://download.pytorch.org/whl/lts/1.8/cu111
# CPU Only
pip3 install torch==1.8.2 torchvision==0.9.2 torchaudio==0.8.2 --extra-index-url https://download.pytorch.org/whl/lts/1.8/cpu
# ROCM5.x
Not supported in LTS.
v1.8.1
Conda
OSX
# conda
conda install pytorch==1.8.1 torchvision==0.9.1 torchaudio==0.8.1 -c pytorch
Linux 和 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 和 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 和 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 和 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/[email protected]'
# 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 和 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 和 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 和 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 和 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 和 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 和 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 和 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 和 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 和 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 和 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 和 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 和 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 和 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 和 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 和 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 和 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 和 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 和 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 和 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 和 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
版本 < 1.0.0 的命令
通过 conda
这应该用于大多数 macOS 历史版本安装。
要通过 Anaconda 或 Miniconda 安装 PyTorch 的历史版本,请在以下命令中将“0.4.1”替换为所需的版本(例如,“0.2.0”)。
使用 CUDA 9 安装
conda install pytorch=0.4.1 cuda90 -c pytorch
或
conda install pytorch=0.4.1 cuda92 -c pytorch
使用 CUDA 8 安装
conda install pytorch=0.4.1 cuda80 -c pytorch
使用 CUDA 7.5 安装
conda install pytorch=0.4.1 cuda75 -c pytorch
不使用 CUDA 安装
conda install pytorch=0.4.1 -c pytorch
从源代码安装
可以检出 PyTorch 的历史版本并进行构建。您可以使用 git tag
在 PyTorch git 存储库中列出标签,并使用以下命令检出一个特定的标签(将“0.1.9”替换为所需的版本):
git checkout v0.1.9
按照 PyTorch 检出的 README.md 中的从源代码安装说明进行操作。
通过 pip
从以下 html 页面下载所需版本的 whl
文件
- https://download.pytorch.org/whl/cpu/torch_stable.html # 仅 CPU 构建
- https://download.pytorch.org/whl/cu80/torch_stable.html # CUDA 8.0 构建
- https://download.pytorch.org/whl/cu90/torch_stable.html # CUDA 9.0 构建
- https://download.pytorch.org/whl/cu92/torch_stable.html # CUDA 9.2 构建
- https://download.pytorch.org/whl/cu100/torch_stable.html # CUDA 10.0 构建
然后,使用 pip install [下载的文件]
安装文件
注意:大多数 PyTorch 版本仅适用于特定的 CUDA 版本。例如,pytorch=1.0.1 不适用于 CUDA 9.2
(旧版)使用 CUDA 7.5 编译的 PyTorch Linux 二进制文件
这些文件早于上面的 html 页面,必须通过下载 wheel 文件并使用 pip install downloaded_file
手动安装
- 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 二进制文件
- 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 和其他二进制文件
对于最新的 macOS 二进制文件,请使用 conda
例如:
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
# 无 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