如何下载pytorch的历史版本?
网页地址:https://pytorch.org/get-started/previous-versions/
INSTALLING PREVIOUS VERSIONS OF PYTORCH
We’d prefer you install the latest version, but old binaries and installation instructions are provided below for your convenience.
COMMANDS FOR VERSIONS >= 1.0.0
v1.6.0
Conda
OSX
-
# conda
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conda install pytorch==1.6.0 torchvision==0.7.0 -c pytorch
Linux and Windows
-
# CUDA 9.2
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conda install pytorch==1.6.0 torchvision==0.7.0 cudatoolkit=9.2 -c pytorch
-
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# CUDA 10.1
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conda install pytorch==1.6.0 torchvision==0.7.0 cudatoolkit=10.1 -c pytorch
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# CUDA 10.2
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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
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pip install torch==1.6.0+cu101 torchvision==0.7.0+cu101 -f https://download.pytorch.org/whl/torch_stable.html
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# CUDA 9.2
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pip install torch==1.6.0+cu92 torchvision==0.7.0+cu92 -f https://download.pytorch.org/whl/torch_stable.html
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# CPU only
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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
-
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# CUDA 10.2
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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
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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
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conda install pytorch==1.2.0 torchvision==0.4.0 cudatoolkit=9.2 -c pytorch
-
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# CUDA 10.0
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conda install pytorch==1.2.0 torchvision==0.4.0 cudatoolkit=10.0 -c pytorch
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-
# 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
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pip install torch==1.2.0+cu92 torchvision==0.4.0+cu92 -f https://download.pytorch.org/whl/torch_stable.html
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# CPU only
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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
-
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# CUDA 10.0
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conda install pytorch==1.1.0 torchvision==0.3.0 cudatoolkit=10.0 -c pytorch
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# CPU Only
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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
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# CUDA 9.0
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Download and install wheel from https://download.pytorch.org/whl/cu90/torch_stable.html
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# 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
-
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# 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
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# CUDA 8.0
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conda install pytorch==1.0.0 torchvision==0.2.1 cuda80 -c pytorch
-
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# 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
文章来源: wanghao.blog.csdn.net,作者:AI浩,版权归原作者所有,如需转载,请联系作者。
原文链接:wanghao.blog.csdn.net/article/details/112762997
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