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Audit and update the pip package metadata
Fill out the recommended `project` keys, most of which will affect the web page that PyPI will render for the `executorch` package. See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#about-your-project for the latest guidance. Use https://github.com/pytorch/pytorch/blob/a21327e0b03cc18850a0608be2d9c5bd38fd4646/setup.py#L1394 as a guide for the actual values. Add a README-wheel.md file that will be included in the wheel, and will become the main page contents on PyPI. Test Plan: * Installed the package with `./install_requirements.sh` * Looked at the files under ~/miniconda3/envs/executorch/lib/python3.10/site-packages/executorch-0.2.0a0+1a499e0.dist-info. METADATA and LICENSE both contain the new metadata.
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**ExecuTorch** is a [PyTorch](https://pytorch.org/) 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. | ||
|
||
Please visit the [ExecuTorch website](https://pytorch.org/executorch/) for | ||
tutorials and documentation. Here are some starting points: | ||
* [Getting | ||
Started](https://pytorch.org/executorch/stable/getting-started-setup.html) | ||
* Set up the ExecuTorch environment and run PyTorch models locally. | ||
* [Working with | ||
local LLMs](https://pytorch.org/executorch/stable/llm/getting-started.html) | ||
* Learn how to use ExecuTorch to export and accelerate a large-language model | ||
from scratch. | ||
* [Exporting to | ||
ExecuTorch](https://pytorch.org/executorch/main/tutorials/export-to-executorch-tutorial.html) | ||
* Learn the fundamentals of exporting a PyTorch `nn.Module` to ExecuTorch, and | ||
optimizing its performance using quantization and hardware delegation. | ||
* Running LLaMA on | ||
[iOS](https://pytorch.org/executorch/stable/llm/llama-demo-ios.html) and | ||
[Android](https://pytorch.org/executorch/stable/llm/llama-demo-android.html) | ||
devices. | ||
* Build and run LLaMA in a demo mobile app, and learn how to integrate models | ||
with your own apps. |
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