1**ExecuTorch** is a [PyTorch](https://pytorch.org/) platform that provides 2infrastructure to run PyTorch programs everywhere from AR/VR wearables to 3standard on-device iOS and Android mobile deployments. One of the main goals for 4ExecuTorch is to enable wider customization and deployment capabilities of the 5PyTorch programs. 6 7The `executorch` pip package is in alpha. 8* Supported python versions: 3.10, 3.11 9* Compatible systems: Linux x86_64, macOS aarch64 10 11The prebuilt `executorch.extension.pybindings.portable_lib` module included in 12this package provides a way to run ExecuTorch `.pte` files, with some 13restrictions: 14* Only [core ATen 15 operators](https://pytorch.org/executorch/stable/ir-ops-set-definition.html) 16 are linked into the prebuilt module 17* Only the [XNNPACK backend 18 delegate](https://pytorch.org/executorch/main/native-delegates-executorch-xnnpack-delegate.html) 19 is linked into the prebuilt module 20* [macOS only] [Core ML](https://pytorch.org/executorch/main/build-run-coreml.html) and [MPS](https://pytorch.org/executorch/main/build-run-mps.html) backend delegates are linked into the prebuilt module. 21 22Please visit the [ExecuTorch website](https://pytorch.org/executorch/) for 23tutorials and documentation. Here are some starting points: 24* [Getting 25 Started](https://pytorch.org/executorch/stable/getting-started-setup.html) 26 * Set up the ExecuTorch environment and run PyTorch models locally. 27* [Working with 28 local LLMs](https://pytorch.org/executorch/stable/llm/getting-started.html) 29 * Learn how to use ExecuTorch to export and accelerate a large-language model 30 from scratch. 31* [Exporting to 32 ExecuTorch](https://pytorch.org/executorch/main/tutorials/export-to-executorch-tutorial.html) 33 * Learn the fundamentals of exporting a PyTorch `nn.Module` to ExecuTorch, and 34 optimizing its performance using quantization and hardware delegation. 35* Running LLaMA on 36 [iOS](https://pytorch.org/executorch/stable/llm/llama-demo-ios.html) and 37 [Android](https://pytorch.org/executorch/stable/llm/llama-demo-android.html) 38 devices. 39 * Build and run LLaMA in a demo mobile app, and learn how to integrate models 40 with your own apps. 41