Build and run the Arm Machine Learning Evaluation Kit examples
Introduction
Build the ML Evaluation Kit examples
Run the examples on Corstone-300 FVP
Review
Next Steps

  Log an issue

  Fork and edit

  Discuss on Discord

The Arm ML Evaluation Kit (MLEK) provides a number of ready-to-use ML applications. These allow you to investigate the embedded software stack and evaluate performance on the Cortex-M55 and Ethos-U55 processors.

You can use the MLEK source code to build sample applications and run them on the Corstone-300 Fixed Virtual Platform (FVP).

Before you begin

You can use your own Ubuntu Linux host machine or use Arm Virtual Hardware (AVH) for this Learning Path.

The Ubuntu version should be 20.04 or 22.04. The x86_64 architecture must be used because the Corstone-300 FVP is not currently available for the Arm architecture. You will need a Linux desktop to run the FVP because it opens graphical windows for input and output from the software applications.

If you want to use Arm Virtual Hardware the Arm Virtual Hardware install guide provides setup instructions.

Compilers

The examples can be built with Arm Compiler for Embedded or Arm GNU Toolchain .

Use the install guides to install the compilers on your computer:

Both compilers are pre-installed in Arm Virtual Hardware.

Corstone-300 FVP

To install the Corstone-300 FVP on your computer refer to the install guide for Arm Ecosystem FVPs .

The Corstone-300 FVP is pre-installed in Arm Virtual Hardware.

Clone the repository

  1. Install virtualenv to create Python virtual environments:
    

        
        
            sudo apt update
sudo apt install python3-venv -y
  1. Clone the ML Evaluation Kit repository, and navigate into the new directory:
    

        
        
            git clone "https://review.mlplatform.org/ml/ethos-u/ml-embedded-evaluation-kit"
cd ml-embedded-evaluation-kit
git submodule update --init

Build the example applications

The default compiler is gcc, but armclang can also be used.

You can select either compiler to build applications. You can also try them both and compare the results.

  • Build with Arm GNU Toolchain (gcc)
    

        
        
            ./build_default.py
  • Build with Arm Compiler for Embedded (armclang)
    

        
        
            ./build_default.py --toolchain arm

The build will take a few minutes.

When the build is complete, you will find the example images (.axf files) in the cmake-build-*/bin directory. The cmake-build directory names are specific to the compiler used and Ethos-U55 configuration.

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