Update documents for Express SDK update

backends/mediatek/README.md

@@ -6,6 +6,7 @@ MediaTek backend empowers ExecuTorch to speed up PyTorch models on edge devices
 The examples provided in this repository are tested and supported on the following MediaTek chip:
 
 - MediaTek Dimensity 9300 (D9300)
+- MediaTek Dimensity 9400 (D9400)
 
 ## Build Instructions
 
@@ -31,13 +32,17 @@ Before you begin, ensure you have the following prerequisites installed and conf
 
 #### 3. MediaTek ExecuTorch Libraries
 
-Download [NeuroPilot Express SDK](https://neuropilot.mediatek.com/resources/public/npexpress/en/docs/npexpress) from MediaTek's NeuroPilot portal:
+To get started with MediaTek's ExecuTorch libraries, download the [NeuroPilot Express SDK](https://neuropilot.mediatek.com/resources/public/npexpress/en/docs/npexpress) from MediaTek's NeuroPilot portal. The SDK includes the following components:
 
-- `libneuronusdk_adapter.mtk.so`: This universal SDK contains the implementation required for executing target-dependent code on the MediaTek chip.
-- `libneuron_buffer_allocator.so`: This utility library is designed for allocating DMA buffers necessary for model inference.
-- `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.
-- Copy `NeuronAdapter.h` under `backends/mediatek/runtime/include/api/`.
+- **`libneuronusdk_adapter.mtk.so`**: This universal SDK contains the implementation required for executing target-dependent code on the MediaTek chip.
+
+- **`libneuron_buffer_allocator.so`**: This utility library is designed for allocating DMA buffers necessary for model inference.
+
+- **`mtk_converter-8.13.0+public-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl`**: This library preprocesses the model into a MediaTek representation.
+
+- **`mtk_neuron-8.2.19-py3-none-linux_x86_64.whl`**: This library converts the model to binaries.
+
+Additionally, make sure to copy `NeuronAdapter.h` to the following directory: `backends/mediatek/runtime/include/api/`.
 
 ### Setup
 
@@ -52,8 +57,8 @@ Follow the steps below to setup your build environment:
    ```
 - Install the two .whl downloaded from NeuroPilot Portal
    ```bash
-   pip3 install mtk_neuron-8.2.2-py3-none-linux_x86_64.whl
-   pip3 install mtk_converter-8.8.0.dev20240723+public.d1467db9-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
+   pip3 install mtk_neuron-8.2.19-py3-none-linux_x86_64.whl
+   pip3 install mtk_converter-8.13.0+public-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
    ```
 - Set evironment variables for building backend
    ```bash

docs/source/backends-mediatek.md

@@ -25,6 +25,7 @@ MediaTek backend empowers ExecuTorch to speed up PyTorch models on edge devices
 
 ### Supported Chips:
 - MediaTek Dimensity 9300 (D9300)
+- MediaTek Dimensity 9400 (D9400)
 
 ### Software:
 
@@ -37,19 +38,19 @@ Follow the steps below to setup your build environment:
 1. **Setup ExecuTorch Environment**: Refer to the [Getting Started](getting-started.md) 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
    ```bash
    pip3 install -r requirements.txt
    ```
 - Install the two .whl downloaded from NeuroPilot Portal
    ```bash
-   pip3 install mtk_neuron-8.2.13-py3-none-linux_x86_64.whl
-   pip3 install mtk_converter-8.9.1+public-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
+   pip3 install mtk_neuron-8.2.19-py3-none-linux_x86_64.whl
+   pip3 install mtk_converter-8.13.0+public-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
    ```
 - Set evironment variables for building backend
    ```bash
-   export NEURON_BUFFER_ALLOCATOR_LIB=<path_to_buffer_allocator.so>
+   export NEURON_BUFFER_ALLOCATOR_LIB=<path_to_buffer_allocator>
    ```
+Additionally, make sure to copy `NeuronAdapter.h` to the following directory: `backends/mediatek/runtime/include/api/`.
 
 ## Build