Welcome to the ExecuTorch Documentation¶
ExecuTorch is a PyTorch platform that provides infrastructure to run PyTorch programs everywhere from AR/VR wearables to standard on-device iOS and Android mobile deployments. One of the main goals for ExecuTorch is to enable wider customization and deployment capabilities of the PyTorch programs.
ExecuTorch heavily relies on such PyTorch technologies as TorchDynamo and torch.export. If you are not familiar with these APIs, you might want to read about them in the PyTorch documentation before diving into the ExecuTorch documentation.
Features described in this documentation are classified by release status:
Stable: These features will be maintained long-term and there should generally be no major performance limitations or gaps in documentation. We also expect to maintain backwards compatibility (although breaking changes can happen and notice will be given one release ahead of time).
Beta: These features are tagged as Beta because the API may change based on user feedback, because the performance needs to improve, or because coverage across operators is not yet complete. For Beta features, we are committing to seeing the feature through to the Stable classification. We are not, however, committing to backwards compatibility.
Prototype: These features are typically not available as part of binary distributions like PyPI or Conda, except sometimes behind run-time flags, and are at an early stage for feedback and testing.
Getting Started¶
Topics in this section will help you get started with ExecuTorch.
Tutorials and Examples¶
Ready to experiment? Check out some of the interactive ExecuTorch tutorials.
