executorch

ExecuTorch

ExecuTorch is an end-to-end solution for enabling on-device inference capabilities across mobile and edge devices including wearables, embedded devices and microcontrollers. It is part of the PyTorch Edge ecosystem and enables efficient deployment of PyTorch models to edge devices.

Key value propositions of ExecuTorch are:

• Portability: Compatibility with a wide variety of computing platforms, from high-end mobile phones to highly constrained embedded systems and microcontrollers.
• Productivity: Enabling developers to use the same toolchains and SDK from PyTorch model authoring and conversion, to debugging and deployment to a wide variety of platforms.
• Performance: Providing end users with a seamless and high-performance experience due to a lightweight runtime and utilizing full hardware capabilities such as CPUs, NPUs, and DSPs.

For a comprehensive technical overview of ExecuTorch and step-by-step tutorials, please visit our documentation website for the latest release (or the main branch).

Check out the Getting Started page for a quick spin.

Feedback

We welcome any feedback, suggestions, and bug reports from the community to help us improve our technology. Please use the PyTorch Forums for discussion and feedback about ExecuTorch using the ExecuTorch category, and our GitHub repository for bug reporting.

We recommend using the latest release tag from the Releases page when developing.

Contributing

See CONTRIBUTING.md for details about issues, PRs, code style, CI jobs, and other development topics.

Directory Structure

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License

ExecuTorch is BSD licensed, as found in the LICENSE file.