| | --- |
| | license: mit |
| | --- |
| | |
| | # Introduction |
| |
|
| | This repository hosts the semantic segmentation |
| | [DeepLabV3](https://docs.pytorch.org/vision/main/models/deeplabv3.html) models |
| | for the [React Native |
| | ExecuTorch](https://www.npmjs.com/package/react-native-executorch) library. It |
| | includes models exported for xnnpack in `.pte` format, ready for use in the |
| | **ExecuTorch** runtime. |
| |
|
| | If you'd like to run these models in your own ExecuTorch runtime, refer to the |
| | [official documentation](https://pytorch.org/executorch/stable/index.html) for |
| | setup instructions. |
| |
|
| | # Compatibility |
| |
|
| | If you intend to use these models outside of React Native ExecuTorch, make sure |
| | your runtime is compatible with the ExecuTorch version used to export the `.pte` |
| | files. For more details, see the compatibility note in the ExecuTorch GitHub |
| | repository. If you work with React Native ExecuTorch, the constants from the |
| | library will guarantee compatibility with runtime used behind the scenes. |
| |
|
| | These models were exported using **ExecuTorch** version 1.1.0 and no forward |
| | compatibility is guaranteed. Older versions of the runtime may not work with |
| | these files. |
