Introduction to MACE

MACE (Mobile AI Compute Engine) is a lightweight, performant, cross-platform, neural network inference engine optimized for both mobile and server environments. It’s designed to maximize the efficiency and effectiveness of machine learning model deployment across multiple devices

Getting Started with MACE: Key APIs and Usage Examples

Importing MACE

  
    import mace
  

Defining the Model Path

  
    config = mace.MaceConfig(mace.MaceValidator.MODEL_TYPE_TFLITE, 'model.tflite')
  

Setting Up a MACE Model

  
    model = mace.MaceEngine(config)
  

Preparing Input/Output Information

  
    input_name = 'input_node'
    output_name = 'output_node'
    input_data = np.random.rand(1, 224, 224, 3)
  

Running Inference

  
    output_data = model.run(input_name, input_data, output_name)
  

Configuring Performance Optimizations

  
    opts = mace.MaceEngineOpts()
    opts.set_cpu_thread_affinity('1,2')
  

Error Handling

  
    try:
        model.run(input_name, input_data, output_name)
    except mace.MaceRuntimeError as e:
        print("Runtime error:", e)
    except mace.MaceConfigError as e:
        print("Config error:", e)
  

App Example Using MACE

Let’s take a look at a simple image classification app utilizing MACE APIs.

Complete Code

  
    import numpy as np
    import mace

    # Define model path and configurations
    config = mace.MaceConfig(mace.MaceValidator.MODEL_TYPE_TFLITE, 'model.tflite')

    # Set up MACE model
    model = mace.MaceEngine(config)

    # Prepare input/output information
    input_name = 'input_node'
    output_name = 'output_node'
    input_data = np.random.rand(1, 224, 224, 3)

    # Run inference
    try:
        output_data = model.run(input_name, input_data, output_name)
        print("Inference successful, output data:", output_data)
    except Exception as e:
        print("Inference failed:", str(e))
  

This example showcases how MACE can be effectively used to perform inference tasks in a lightweight and efficient manner, making it a valuable tool for ML developers.

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