tree: ac68bca3a7159d13a328994ff680b59afbde1fea [path history] [tgz]
  1. mtk_build.sh
  2. README.md
backends/mediatek/scripts/README.md

Build Instructions

This document provides a step-by-step guide to set up the build environment for the MediaTek ExercuTorch libraries.

Prerequisites

Before you begin, ensure you have the following prerequisites installed and configured:

1. Buck2 Build Tool

  • Download Buck2: Obtain Buck2 from the official releases page.
  • Add to PATH: Extract the downloaded file and add the directory to your system's $PATH environment variable.
    export PATH=<path_to_buck>:$PATH
    

2. Android NDK

  • Download Android NDK: Acquire the Android NDK version 26.3.11579264 from the Android developer site.
  • Set NDK Path: Ensure that the $ANDROID_NDK environment variable is set to the path where the NDK is located.
    export ANDROID_NDK=<path_to_android_ndk>
    

3. MediaTek ExercuTorch Libraries

Download NeuroPilot Express SDK from MediaTek's NeuroPilot portal:

  • 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.

Setup

Follow the steps below to setup your build environment:

  1. Setup ExercuTorch Environment: Refer to the Setting up ExercuTorch guide for detailed instructions on setting up the ExercuTorch environment.

  2. Setup MediaTek Backend Environment

  • Install the dependent libs. Ensure that you are inside backends/mediatek/ directory
    pip3 install -r requirements.txt
    
  • Install the two .whl downloaded from NeuroPilot Portal
    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
    
  • Set evironment variables for building backend
    export NEURON_BUFFER_ALLOCATOR_LIB=<path_to_buffer_allocator>
    

Build

  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

    ./mtk_build.sh
    

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.

    export LD_LIBRARY_PATH=<path_to_usdk>:<path_to_neuron_backend>:$LD_LIBRARY_PATH