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.
TBD: maven distribution
The minimum supported Java Runtime is version 8.
An example implementation is located in
src/test/java/sample/ScoreMNIST.java.
Once compiled the sample code expects the following arguments ScoreMNIST <path-to-mnist-model> <path-to-mnist> <scikit-learn-flag>. MNIST is expected
to be in libsvm format. If the optional scikit-learn flag is supplied the model
is expected to be produced by skl2onnx (so expects a flat feature vector, and
produces a structured output), otherwise the model is expected to be a CNN from
pytorch (expecting a [1][1][28][28] input, producing a vector of
probabilities). Two example models are provided in testdata,
cnn_mnist_pytorch.onnx and lr_mnist_scikit.onnx. The first is a LeNet5 style
CNN trained using PyTorch, the second is a logistic regression trained using scikit-learn.
This project can be built manually using the instructions below.
Use the main project's build instructions with the --build_java option.
JDK version 8 or later is required.
The Gradle build system is required and used here to manage the Java project's dependency management, compilation, testing, and assembly.
You may use your system Gradle installation installed on your PATH.
Version 6 or newer is recommended.
Optionally, you may use your own Gradle wrapper which will be locked to a version specified in the build.gradle configuration.
This can be done once by using system Gradle installation to invoke the wrapper task in the java project's directory: cd REPO_ROOT/java && gradle wrapper
Any installed wrapper is gitignored.
The build will generate output in $REPO_ROOT/build/$OS/$CONFIGURATION/java/build:
docs/javadoc/- HTML javadocreports/- detailed test results and other reportslibs/onnxruntime-<version-number>.jar- JAR with classes, depends ononnxruntime-<version-number>-jni.jarandonnxruntime-<version-number>-lib.jarlibs/onnxruntime-<version-number>-jni.jar- JAR with JNI shared librarylibs/onnxruntime-<version-number>-lib.jar- JAR with onnxruntime shared librarylibs/onnxruntime-<version-number>-all.jar- the 3 preceding jars all combined: JAR with classes, JNI shared library, and onnxruntime shared library
The reason the shared libraries are split out like that is that users can mix and match to suit their use case:
- To support a single OS/Architecture without any dependencies, use
libs/onnxruntime-<version-number>-all.jar. - To support cross-platform: bundle a single
libs/onnxruntime-<version-number>.jarand with all of the respectivelibs/onnxruntime-<version-number>-jni.jarandlibs/onnxruntime-<version-number>-lib.jarfor all of the desired OS/Architectures. - To support use case where an onnxruntime shared library will reside in the system's library search path: bundle a single
libs/onnxruntime-<version-number>.jarand with all of thelibs/onnxruntime-<version-number>-jni.jar. The onnxruntime shared library should be loaded using one of the other methods described in the "Advanced Loading" section below.
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.
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.
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.
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.
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.
The Java API does not have any runtime or compile dependencies currently.
