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NXP backend: Update user guide and docs Readme #15114

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2 changes: 2 additions & 0 deletions backends/nxp/README.md
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Expand Up @@ -15,6 +15,8 @@ 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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10 changes: 5 additions & 5 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` - demo models instantiation used in examples
* `models` - various example models.
* `aot_neutron_compile.py` - script with end-to-end ExecuTorch AoT Neutron Backend workflow.
* `README.md` - this file.
* `run_aot_example.sh` - utility script to launch _aot_neutron_compile.py_. Primarily for CI purpose.
* `setup.sh` - setup script to install NeutronBackend dependencies.
* `run_aot_example.sh` - utility script for aot_neutron_compile.py.
* `setup.sh` - setup script for Neutron Converter installation.

## Setup
Please finish tutorial [Setting up ExecuTorch](https://pytorch.org/executorch/main/getting-started-setup).
Expand Down Expand Up @@ -36,11 +36,11 @@ The steps are expected to be executed from the `executorch` root folder.
1. Run the `aot_neutron_compile.py` example with the `cifar10` model
```commandline
$ python -m examples.nxp.aot_neutron_compile --quantize \
--delegate --neutron_converter_flavor SDK_25_06 -m cifar10
--delegate --neutron_converter_flavor SDK_25_09 -m cifar10
```

2. It will generate you `cifar10_nxp_delegate.pte` file which can be used with the MCUXpresso SDK `cifarnet_example`
project, presented [here](https://mcuxpresso.nxp.com/mcuxsdk/latest/html/middleware/eiq/executorch/docs/nxp/topics/example_applications.html#how-to-build-and-run-executorch-cifarnet-example).
This project will guide you through the process of deploying your PTE model to the device.
To get the MCUXpresso SDK follow this [guide](https://mcuxpresso.nxp.com/mcuxsdk/latest/html/middleware/eiq/executorch/docs/nxp/topics/getting_mcuxpresso.html),
use the MCUXpresso SDK v25.06.00.
use the MCUXpresso SDK v25.09.00.
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