Move README under mediatek/ Fix some typo

Author: neuropilot-captain

backends/mediatek/scripts/README.md renamed to backends/mediatek/README.md

@@ -1,28 +1,35 @@
-# Build Instructions
+# MediaTek Backend on ExecuTorch
+MediaTek backend allows ExecuTorch to speed up PyTorh models on edge devices that equips with MediaTek Neuron Processing Unit (NPU). This document provides a step-by-step guide to set up the build environment for the MediaTek ExecuTorch libraries.
 
-This document provides a step-by-step guide to set up the build environment for the MediaTek ExercuTorch libraries.
+## Supported Chips
 
-## Prerequisites
+The examples provided in this repository are tested and supported on the following MediaTek chip:
+
+- MediaTek Dimensity 9300 (D9300)
+
+## Build Instructions
+
+### Prerequisites
 
 Before you begin, ensure you have the following prerequisites installed and configured:
 
-### 1. Buck2 Build Tool
+#### 1. Buck2 Build Tool
 
 - **Download Buck2**: Obtain Buck2 from the official [releases page](https://github.com/facebook/buck2/releases/tag/2024-02-01).
 - **Add to PATH**: Extract the downloaded file and add the directory to your system's `$PATH` environment variable.
    ```bash
    export PATH=<path_to_buck>:$PATH
    ```
 
-### 2. Android NDK
+#### 2. Android NDK
 
 - **Download Android NDK**: Acquire the Android NDK version 26.3.11579264 from the [Android developer site](https://developer.android.com/ndk/downloads).
 - **Set NDK Path**: Ensure that the `$ANDROID_NDK` environment variable is set to the path where the NDK is located.
    ```bash
    export ANDROID_NDK=<path_to_android_ndk>
    ```
 
-### 3. MediaTek ExercuTorch Libraries
+#### 3. MediaTek ExecuTorch Libraries
 
 Download [NeuroPilot Express SDK](https://neuropilot.mediatek.com/resources/public/npexpress/en/docs/npexpress) from MediaTek's NeuroPilot portal:
 
@@ -31,11 +38,11 @@ Download [NeuroPilot Express SDK](https://neuropilot.mediatek.com/resources/publ
 - `mtk_converter-8.8.0.dev20240723+public.d1467db9-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl`: This library preprocess the model into a MediaTek representation.
 - `mtk_neuron-8.2.2-py3-none-linux_x86_64.whl`: This library converts the model to binaries.
 
-## Setup
+### Setup
 
 Follow the steps below to setup your build environment:
 
-1. **Setup ExercuTorch Environment**: Refer to the [Setting up ExercuTorch](https://pytorch.org/executorch/stable/getting-started-setup) guide for detailed instructions on setting up the ExercuTorch environment.
+1. **Setup ExecuTorch Environment**: Refer to the [Setting up ExecuTorch](https://pytorch.org/executorch/stable/getting-started-setup) guide for detailed instructions on setting up the ExecuTorch environment.
 
 2. **Setup MediaTek Backend Environment**
 - Install the dependent libs. Ensure that you are inside backends/mediatek/ directory
@@ -52,18 +59,21 @@ Follow the steps below to setup your build environment:
    export NEURON_BUFFER_ALLOCATOR_LIB=<path_to_buffer_allocator>
    ```
 
-## Build
+### Build
+1. Navigate to `scripts/` directory.
 
-1. **Build MediaTek Backend**: Once the prerequisites are in place, run the `mtk_build.sh` script to start the build process, MediaTek backend will be built under `cmake-android-out/backends/` as `libneuron_backend.so`
+2. **Build MediaTek Backend**: Once the prerequisites are in place, run the `mtk_build.sh` script to start the build process, MediaTek backend will be built under `cmake-android-out/backends/` as `libneuron_backend.so`
 
    ```bash
    ./mtk_build.sh
    ```
 
-## Run
+### Run
 
-1. **Push MediaTek universal SDK and MediaTek backend to the device**: push `libneuronusdk_adapter.mtk.so` and `libneuron_backend.so` to the phone and export it to the `$LD_LIBRARY_PATH` environment variable before executing ExercuTorch with MediaTek backend.
+1. **Push MediaTek universal SDK and MediaTek backend to the device**: push `libneuronusdk_adapter.mtk.so` and `libneuron_backend.so` to the phone and export it to the `$LD_LIBRARY_PATH` environment variable before executing ExecuTorch with MediaTek backend.
 
    ```bash
    export LD_LIBRARY_PATH=<path_to_usdk>:<path_to_neuron_backend>:$LD_LIBRARY_PATH
    ```
+
+Please refer to `executorch/examples/mediatek/` for export and execution examples of various of models.