onnxruntime/java
wejoncy 20a45dd67b
[CoreML ML Program] support acclerators selector (#22383)
### Description
For no, CoreML only support run mlmodels on CPU/ALL, However, sometimes
CPU_GPU would be faster a lot.

We support the option to select different hardware to boost performance
in this PR.



### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->

---------

Co-authored-by: Edward Chen <18449977+edgchen1@users.noreply.github.com>
2024-10-15 11:50:11 +08:00
..
gradle/wrapper [java] Java 21 build support (#19876) 2024-03-28 15:51:22 -07:00
src [CoreML ML Program] support acclerators selector (#22383) 2024-10-15 11:50:11 +08:00
testdata [java] Sparse tensor support (#10653) 2022-11-22 10:29:24 -08:00
README.md [java] Java 21 build support (#19876) 2024-03-28 15:51:22 -07:00
build-android.gradle RC releases to Maven for Android (#22391) 2024-10-11 08:58:02 -07:00
build.gradle [Java] Add API for appending QNN EP (#22208) 2024-10-01 10:18:04 -07:00
gradlew [java] Java 21 build support (#19876) 2024-03-28 15:51:22 -07:00
gradlew.bat Update Gradle version (#14862) 2023-03-08 12:22:06 -08:00
settings-android.gradle Make Java API available on Android (#3030) 2020-02-27 08:23:50 -08:00
settings.gradle Java build system enhancements (#2866) 2020-02-18 15:41:49 -08:00
settings.xml adding publishing stage to publish java CUDA 12 pkg to ado (#20834) 2024-05-29 16:24:23 -07:00

README.md

ONNX Runtime Java API

This directory contains the Java language binding for the ONNX runtime. Java Native Interface (JNI) is used to allow for seamless calls to ONNX runtime from Java.

Usage

This document pertains to developing, building, running, and testing the API itself in your local environment. For general purpose usage of the publicly distributed API, please see the general Java API documentation.

Building

Use the main project's build instructions with the --build_java option.

Requirements

Java 11 or later is required to build the library. The compiled jar file will run on Java 8 or later.

The Gradle build system is used here to manage the Java project's dependency management, compilation, testing, and assembly. In particular, the Gradle wrapper at java/gradlew[.bat] is used, locking the Gradle version to the one specified in the java/gradle/wrapper/gradle-wrapper.properties configuration. Using the Gradle wrapper removes the need to have the right version of Gradle installed on the system.

Build Output

The build will generate output in $REPO_ROOT/build/$OS/$CONFIGURATION/java/build:

  • docs/javadoc/ - HTML javadoc
  • reports/ - detailed test results and other reports
  • libs/onnxruntime-VERSION.jar - JAR with compiled classes, platform-specific JNI shared library, and platform-specific onnxruntime shared library.

Build System Overview

The main CMake build system delegates building and testing to Gradle. This allows the CMake system to ensure all of the C/C++ compilation is achieved prior to the Java build. The Java build depends on C/C++ onnxruntime shared library and a C JNI shared library (source located in the src/main/native directory). The JNI shared library is the glue that allows for Java to call functions in onnxruntime shared library. Given the fact that CMake injects native dependencies during CMake builds, some gradle tasks (primarily, build, test, and check) may fail. To run the Java build independently of CMake supply -DcmakeBuildDir=<path-to-onnx-runtime-build-dir>, though this will only succeed after an initial build of the native libraries has completed.

When running the build script, CMake will compile the onnxruntime target and the JNI glue onnxruntime4j_jni target and expose the resulting libraries in a place where Gradle can ingest them. Upon successful compilation of those targets, a special Gradle task to build will be executed. The results will be placed in the output directory stated above.

Advanced Loading

The default behavior is to load the shared libraries using classpath resources. If your use case requires custom loading of the shared libraries, please consult the javadoc in the package-info.java or OnnxRuntime.java files.

Development

Code Formatting

Spotless is used to keep the code properly formatted. Gradle's spotlessCheck task will show any misformatted code. Gradle's spotlessApply task will try to fix the formatting. Misformatted code will raise failures when checks are ran during test run.

JNI Headers

When adding or updating native methods in the Java files, it may be necessary to examine the relevant JNI headers in build/headers/ai_onnxruntime*.h. These files can be manually generated using Gradle's compileJava task which will compile the Java and update the header files accordingly. Then the corresponding C files in ./src/main/native/ai_onnxruntime*.c may be updated and the build can be ran.

Dependencies

The Java API does not have any runtime or compile dependencies.