| ## ExecuTorch on ARM Cortex-M55 + Ethos-U55 |
| |
| This dir contains scripts to help you prepare setup needed to run a PyTorch |
| model on an ARM Corstone-300 platform via ExecuTorch. Corstone-300 platform |
| contains the Cortex-M55 CPU and Ethos-U55 NPU. |
| |
| We will start from a PyTorch model in python, export it, convert it to a `.pte` |
| file - A binary format adopted by ExecuTorch. Then we will take the `.pte` |
| model file and embed that with a baremetal application executor_runner. We will |
| then take the executor_runner file, which contains not only the `.pte` file but |
| also necessary software component to run standalone on a baremetal system. |
| Lastly, we will run the executor_runner binary on a Corstone-300 FVP Simulator |
| platform. |
| |
| ### Example workflow |
| |
| There are two main scripts, setup.sh and run.sh. Each takes one optional, |
| positional argument. It is a path to a scratch dir to download and generate |
| build artifacts. If supplied, the same argument must be supplied to both the scripts. |
| |
| To run these scripts. On a Linux system, in a terminal, with a working internet connection, |
| ``` |
| # Step [1] - setup necessary tools |
| $ ./setup.sh --i-agree-to-the-contained-eula [optional-scratch-dir] |
| |
| # Step [2] - build + run ExecuTorch and executor_runner baremetal application |
| # suited for Corstone300 to run a simple PyTorch model. |
| $ ./run.sh [same-optional-scratch-dir-as-before] |
| ``` |
| ### Online Tutorial |
| |
| We also have a [tutorial](https://pytorch.org/executorch/stable/executorch-arm-delegate-tutorial.html) explaining the steps performed in these |
| scripts, expected results, and more. It is a step-by-step guide |
| you can follow to better understand this delegate. |
