[pytorch][转载]官方历史版本pytorch安装指令合集
2021/5/5 10:29:52
本文主要是介绍[pytorch][转载]官方历史版本pytorch安装指令合集,对大家解决编程问题具有一定的参考价值,需要的程序猿们随着小编来一起学习吧!
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
v1.8.0
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 11.0 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
这篇关于[pytorch][转载]官方历史版本pytorch安装指令合集的文章就介绍到这儿,希望我们推荐的文章对大家有所帮助,也希望大家多多支持为之网!
- 2024-06-30uniAPP 实现全屏左右滚动滚动的效果-icode9专业技术文章分享
- 2024-06-30如何在本地使用授权或插件-icode9专业技术文章分享
- 2024-06-30伪静态规则配置方法汇总-icode9专业技术文章分享
- 2024-06-29易优CMS安装常见问题汇总-icode9专业技术文章分享
- 2024-06-28易优新手必读安装教程-icode9专业技术文章分享
- 2024-06-28忘记eyoucms后台密码怎么办?-icode9专业技术文章分享
- 2024-06-26终极指南:Scrum中如何设置需求优先级
- 2024-06-26AI大模型企业应用实战(25)-为Langchain Agent添加记忆功能
- 2024-06-26小白家庭 nas 搭建方案-icode9专业技术文章分享
- 2024-06-23AI大模型企业应用实战(14)-langchain的Embedding