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NXP Backend: Update Readme files #14896

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2 changes: 0 additions & 2 deletions backends/nxp/README.md
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Expand Up @@ -15,8 +15,6 @@ networks, as well as the ability to adapt and scale to new model architectures,
to AI workloads. ML application development with the eIQ Neutron NPU is fully supported by the
[eIQ machine learning software development environment](https://www.nxp.com/design/design-center/software/eiq-ml-development-environment/eiq-toolkit-for-end-to-end-model-development-and-deployment:EIQ-TOOLKIT).
The eIQ AI SW Stack provides a streamlined development experience for developers and end-users of NXP products.
eIQ extensions connect broader AI ecosystems to the edge, such as the NVIDIA TAO extension, which enables developers
to bring AI models trained and fine-tuned with TAO to NXP-powered edge devices.


## Supported NXP platforms
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6 changes: 3 additions & 3 deletions examples/nxp/README.md
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Expand Up @@ -4,11 +4,11 @@ format and delegate the model computation to eIQ Neutron NPU using the eIQ Neutr

## Layout
* `experimental/` - contains CifarNet model example.
* `models` - various example models.
* `models` - demo models instantiation used in examples.
* `aot_neutron_compile.py` - script with end-to-end ExecuTorch AoT Neutron Backend workflow.
* `README.md` - this file.
* `run_aot_example.sh` - utility script for aot_neutron_compile.py.
* `setup.sh` - setup script for Neutron Converter installation.
* `run_aot_example.sh` - utility script to launch _aot_neutron_compile.py_. Primarily for CI purpose.
* `setup.sh` - setup script to install Neutron Backend dependencies.

## Setup
Please finish tutorial [Setting up ExecuTorch](https://pytorch.org/executorch/main/getting-started-setup).
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