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 * Get Started
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NEW ANNOUNCEMENTS

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PYTORCH 2.1

We are excited to announce the release of PyTorch 2.1!

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PYTORCH EDGE

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portability, and performance.

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KEY FEATURES &
CAPABILITIES

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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
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INSTALL PYTORCH

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PyTorch Build
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NOTE: PyTorch LTS has been deprecated. For more information, see this blog.

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ECOSYSTEM

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CAPTUM

Captum (“comprehension” in Latin) is an open source, extensible library for
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PYTORCH GEOMETRIC

PyTorch Geometric is a library for deep learning on irregular input data such as
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skorch is a high-level library for PyTorch that provides full scikit-learn
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PyTorch design principles for contributors and maintainers.

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CONTRIBUTORS

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COMPANIES & UNIVERSITIES
USING PYTORCH

Reduce inference costs by 71% and drive scale out using PyTorch, TorchServe, and
AWS Inferentia.



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Pushing the state of the art in NLP and Multi-task learning.



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Using PyTorch’s flexibility to efficiently research new algorithmic approaches.



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