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Join us in Silicon Valley September 18-19 at the 2024 PyTorch Conference. Learn
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GET STARTED

Choose Your Path: Install PyTorch Locally or Launch Instantly on Supported Cloud
Platforms

Get started


BLOG

Stay up-to-date on the latest news and technical topics from the PyTorch
Foundation.

Read more


PYTORCH 2.5

Featuring a new CuDNN backend for SDPA, improvements to TorchDynamo, regional
compilation of torch.compile, and more.

Learn more


MEMBERSHIP AVAILABLE

Become an integral part of the PyTorch Foundation, to build and shape the future
of AI.

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KEY FEATURES &
CAPABILITIES

See all Features

PRODUCTION READY

Transition seamlessly between eager and graph modes with TorchScript, and
accelerate the path to production with TorchServe.

DISTRIBUTED TRAINING

Scalable distributed training and performance optimization in research and
production is enabled by the torch.distributed backend.

ROBUST ECOSYSTEM

A rich ecosystem of tools and libraries extends PyTorch and supports development
in computer vision, NLP and more.

CLOUD SUPPORT

PyTorch is well supported on major cloud platforms, providing frictionless
development and easy scaling.


INSTALL PYTORCH

Select your preferences and run the install command. Stable represents the most
currently tested and supported version of PyTorch. This should be suitable for
many users. Preview is available if you want the latest, not fully tested and
supported, builds that are generated nightly. Please ensure that you have met
the prerequisites below (e.g., numpy), depending on your package manager.
Anaconda is our recommended package manager since it installs all dependencies.
You can also install previous versions of PyTorch. Note that LibTorch is only
available for C++.

NOTE: Latest PyTorch requires Python 3.9 or later.

PyTorch Build
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Language
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Run this Command:
PyTorch Build
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