microai.sinemodel

Overview

This example shows how to run an inference on a basic sine model.

This sine model has been trained to return the sine value of an input float.

More information about MicroAI Foundation Library can be found in the ApplicationDeveloperGuide.

Requirements

• MICROEJ SDK 6.
• A VEE Port that contains:
  • EDC-1.3 or higher.
  • BON-1.4 or higher.
  • MICROAI-2.0 or higher.

This example has been tested on:

• IntelliJ IDEA with MicroEJ plugin for IntelliJ IDEA 1.2.0.
• sim-vee-port VEE Port project (Simulator only).

Usage

Follow MICROEJ SDK 6 Installation Guide to set up the SDK.

Run on Simulator

Run the following command in your IDE (or click the Play button next to the line below when opening this README in IntelliJ IDEA):

./gradlew :microai.sinemodel:runOnSimulator

Alternative ways to run in simulation are described in the Run on Simulator documentation.

Expected Behavior

The sample will print the characteristics of the model, then run inferences on a set of input values.

[microai sine sample] INFO: MicroAI Sample on Sine model
[microai sine sample] INFO: Input:
[microai sine sample] INFO:     Tensor Count: 1
[microai sine sample] INFO:     Tensor Dimensions: 2
[microai sine sample] INFO:     Tensor Shape: [1, 1]
[microai sine sample] INFO:     Data Type: 3
[microai sine sample] INFO:     Tensor Elements: 1
[microai sine sample] INFO:     data length: 4
[microai sine sample] INFO:      quantized: false
[microai sine sample] INFO:         Scale: 0.0
[microai sine sample] INFO:         Zero : 0
[microai sine sample] INFO: Output:
[microai sine sample] INFO:     Tensor Count: 1
[microai sine sample] INFO:     Tensor Dimensions: 2
[microai sine sample] INFO:     Tensor Shape: [1, 1]
[microai sine sample] INFO:     Data Type: 3
[microai sine sample] INFO:     Tensor Elements: 1
[microai sine sample] INFO:     data length: 4
[microai sine sample] INFO:     quantized: false
[microai sine sample] INFO:         Scale: 0.0
[microai sine sample] INFO:         Zero : 0

The results of the interpreter are logged into the console.

[microai sine sample] INFO: ============================
[microai sine sample] INFO: Run inferences on sine model:
[microai sine sample] INFO: ============================
[microai sine sample] INFO: sinus(0) = 0.040830173
[microai sine sample] INFO: sinus(PI/4) = 0.7149629
[microai sine sample] INFO: sinus(PI/2) = 1.0046204
[microai sine sample] INFO: sinus(3*PI/4) = 0.7130069
[microai sine sample] INFO: sinus(PI) = 0.014684498
[microai sine sample] INFO: sinus(5*PI/4) = -0.70124036
[microai sine sample] INFO: sinus(3*PI/2) = -1.0006135
[microai sine sample] INFO: sinus(7*PI/4) = -0.71546686
[microai sine sample] INFO: sinus(2*PI) = -0.08672099

Dependencies

The dependencies defined in build.gradle.kts are configured in libs.versions.toml.

All dependencies are retrieved transitively by Gradle.

Source

N/A

Restrictions

None.

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Copyright 2025 MicroEJ Corp. All rights reserved.
Use of this source code is governed by a BSD-style license that can be found with this software.