djl

DJL - TensorFlow Lite engine implementation

Overview

This module contains the Deep Java Library (DJL) EngineProvider for TensorFlow Lite.

We don’t recommend that developers use classes in this module directly. Use of these classes will couple your code with TensorFlow Lite and make switching between frameworks difficult.

Documentation

The latest javadocs can be found on the djl.ai website.

You can also build the latest javadocs locally using the following command:

# for Linux/macOS:
./gradlew javadoc

# for Windows:
..\..\gradlew javadoc

The javadocs output is built in the build/doc/javadoc folder.

Installation

You can pull the TensorFlow Lite engine from the central Maven repository by including the following dependency:

<dependency>
    <groupId>ai.djl.tflite</groupId>
    <artifactId>tflite-engine</artifactId>
    <version>0.15.0</version>
    <scope>runtime</scope>
</dependency>

Automatic

By default, DJL will automatically download the native libraries into cache folder the first time you run DJL. It will automatically determine the appropriate jars for your system based on the platform.

macOS

For macOS, you can use the following library:

<dependency>
    <groupId>ai.djl.tflite</groupId>
    <artifactId>tflite-native-cpu</artifactId>
    <classifier>osx-x86_64</classifier>
    <version>2.4.1</version>
    <scope>runtime</scope>
</dependency>

Linux

For the Linux platform, you can use the following library:

<dependency>
    <groupId>ai.djl.tflite</groupId>
    <artifactId>tflite-native-cpu</artifactId>
    <classifier>linux-x86_64</classifier>
    <scope>runtime</scope>
    <version>2.4.1</version>
</dependency>