xref: /aosp_15_r20/external/executorch/backends/mediatek/scripts/README.md (revision 523fa7a60841cd1ecfb9cc4201f1ca8b03ed023a)
1# Build Instructions
2
3This document provides a step-by-step guide to set up the build environment for the MediaTek ExercuTorch libraries.
4
5## Prerequisites
6
7Before you begin, ensure you have the following prerequisites installed and configured:
8
9### 1. Buck2 Build Tool
10
11- **Download Buck2**: Obtain Buck2 from the official [releases page](https://github.com/facebook/buck2/releases/tag/2024-02-01).
12- **Add to PATH**: Extract the downloaded file and add the directory to your system's `$PATH` environment variable.
13   ```bash
14   export PATH=<path_to_buck>:$PATH
15   ```
16
17### 2. Android NDK
18
19- **Download Android NDK**: Acquire the Android NDK version 26.3.11579264 from the [Android developer site](https://developer.android.com/ndk/downloads).
20- **Set NDK Path**: Ensure that the `$ANDROID_NDK` environment variable is set to the path where the NDK is located.
21   ```bash
22   export ANDROID_NDK=<path_to_android_ndk>
23   ```
24
25### 3. MediaTek ExercuTorch Libraries
26
27Download [NeuroPilot Express SDK](https://neuropilot.mediatek.com/resources/public/npexpress/en/docs/npexpress) from MediaTek's NeuroPilot portal:
28
29- `libneuronusdk_adapter.mtk.so`: This universal SDK contains the implementation required for executing target-dependent code on the MediaTek chip.
30- `libneuron_buffer_allocator.so`: This utility library is designed for allocating DMA buffers necessary for model inference.
31- `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.
32- `mtk_neuron-8.2.2-py3-none-linux_x86_64.whl`: This library converts the model to binaries.
33
34## Setup
35
36Follow the steps below to setup your build environment:
37
381. **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.
39
402. **Setup MediaTek Backend Environment**
41- Install the dependent libs. Ensure that you are inside backends/mediatek/ directory
42   ```bash
43   pip3 install -r requirements.txt
44   ```
45- Install the two .whl downloaded from NeuroPilot Portal
46   ```bash
47   pip3 install mtk_neuron-8.2.2-py3-none-linux_x86_64.whl
48   pip3 install mtk_converter-8.8.0.dev20240723+public.d1467db9-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
49   ```
50- Set evironment variables for building backend
51   ```bash
52   export NEURON_BUFFER_ALLOCATOR_LIB=<path_to_buffer_allocator>
53   ```
54
55## Build
56
571. **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`
58
59   ```bash
60   ./mtk_build.sh
61   ```
62
63## Run
64
651. **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.
66
67   ```bash
68   export LD_LIBRARY_PATH=<path_to_usdk>:<path_to_neuron_backend>:$LD_LIBRARY_PATH
69   ```
70