Version 1.0

Topology and Orchestration Specification for Cloud Applications Version 1.0. 25 November 2013.
Installing previous versions of PyTorch
- One of the long term goals is to produce Version 1.0, which is intended to include a comprehensive index and a version (RevID) quality control system (the latter was used on 0.8).
- CMMC Model Version 1.0 Version 1.0 A-2 PROCESS MATURITY (ML) Note: The maturity processes are repeated in each domain. When being used in a specific domain, the first two characters of the identifier change from to the appropriate two‘ML’-character domain identifier, while the rest of the identifier remains unchanged from what is shown below.
We’d prefer you install the latest version,but old binaries and installation instructions are provided below foryour convenience.
Commands for Versions >= 1.0.0
v1.6.0
Conda
OSX
Linux and Windows
Wheel
OSX
Version 1.0 Meaning
Linux and Windows
v1.5.1
Conda
OSX
Linux and Windows
Wheel
OSX
Linux and Windows
v1.5.0
Conda
OSX
Linux and Windows
Wheel
OSX
Linux and Windows
v1.4.0
Conda
OSX
Linux and Windows
Wheel
OSX
Linux and Windows
v1.2.0
Conda
OSX
Linux and Windows
Wheel
OSX
Linux and Windows
v1.1.0
Conda
OSX

Linux and Windows
Wheel
OSX
Linux and Windows
v1.0.1
Conda
OSX
Linux and Windows
Wheel
OSX
Linux and Windows
v1.0.0
Conda
OSX
Linux and Windows
Wheel
OSX
Linux and Windows
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
Version 1.0 Minecraft
It is possible to checkout an older version of PyTorchand build it.You can list tags in PyTorch git repository with git tag
and checkout aparticular one (replace ‘0.1.9’ with the desired version) with
git checkout v0.1.9
Version 1.00 Scp
Follow the install from source instructions in the README.md of the PyTorchcheckout.
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
Windows binaries
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
