onnxruntime/java
Du Li 095d55bf54
Cherry picking for Rel-1.6 (#6006)
* Update onnx (#5720)

* update onnx

* update docker image for testing
(cherry picked from commit 705d093167)

* cherry pick PR 5720

* C#: Add CreateFromMemory to FixedBufferOnnxValue to allow bind user buffers and pass custom binary compatible types (#5886)

Add CreateFromMemory to FixedBufferOnnxValue so users can bind their own custom binary compatible buffers to feed/fetch data.
(cherry picked from commit c2d610066a)

* [Java] Initial Apple Silicon support (#5891)

* Rearranging checks in onnxruntime_mlas.cmake to pickup Apple Silicon.

On an M1 Macbook Pro clang reports:

$ clang -dumpmachine
arm64-apple-darwin20.1.0

So the regex check needs to look for "arm64" first, as otherwise it
matches 32-bit ARM and you get NEON compilation failures.

* Adding Java side library loading support for Apple Silicon (and other aarch64 architectures).

* Adding Qgemm fix from @tracysh

* Fixes the java packaging on Windows.

* Missed a check in the java platform detector.
(cherry picked from commit 8b83c51a35)

* Add OpenVINO EP shared lib to Py Wheel (#5920)

* Add OpenVINO EP shared lib to Py Wheel

Include the libonnxruntime_providers_openvino.so/.dll to the wheel

* Follow libs.extend pattern as other EPs
(cherry picked from commit 40926867c3)

* Make NNAPI EP reject nodes with no-shape inputs (#5927)

(cherry picked from commit 87368655e2)

* Sahar/fix documentation shared lib (#5926)

* Update OpenVINO-ExecutionProvider.Md

update openvino-executionprovider.md for shared library

* Update Build.md

updated --build_shared_lib flag for building openvino shared provider lib

* Update Dockerfile.openvino

building for shared library with the new changes for openvino shared lib

* Revert "Update Build.md"

This reverts commit c9cf5fee76be7fdc10cadf07259f1d4ed5b45b93.

* Revert "Update Dockerfile.openvino "

This reverts commit e1624e4f93a4cfb425b6f21d7fb71b299a146740.

* Update OpenVINO-ExecutionProvider.md

fix documentation to the shared library

Co-authored-by: sfatimar <sahar.fatima@intel/com>
(cherry picked from commit 8168c91978)

* Update dockerfiles (#5929)

1. Remove conda from the images. Because conda contains a file named /opt/miniconda/lib/libcrypto.so.1.0.0 which can't pass our security scan. Also, it will be easier for us to manage the third party usage registrations.
2. Remove openssh from the images. Because the official openssh package provided by Ubuntu can't pass our security scan.
3. Reduce the image size to 1/3 by using stages. Also, because it contains less packages, it will be less often needed to update.
4. Put the LICENSE-IMAGE.txt file in right place. It is missed in current images. You can see it was added to a temp folder "/code" but it got deleted afterwards.
5. Update the CPU docker image's base image to Ubuntu 18.04. The GPU one is already 18.04. It's better to keep them the same.
6. Remove the build arg ONNXRUNTIME_REPO/ONNXRUNTIME_BRANCH. Instead, the new one always uses the local source. I feel it can reduce confusion.
(cherry picked from commit 1dbabb2362)

* Add Longformer Attention Cuda Op(#5932)

Limitation: Global tokens must be at the beginning of sequence.
(cherry picked from commit 31a6be3d67)

* Bug fix for MaskRCNN and FasterRCNN (#5935)

Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
(cherry picked from commit e39e82b43a)

* Fix publishing pipelines. (#5942)

Fix publishing pipelines.
(cherry picked from commit c4b55d29fe)

* Fix Python Linux GPU package name (#5943)

Fix Python Linux GPU package name. I accidentally added "noopenmp" to it.

(cherry picked from commit 5fdd9f0fd2)

* Update BUILD.md with shared provider information (#5944)

* Update build instructions to include information about shared providers

(cherry picked from commit 27513d1fd7)

* [OpenVINO]Fix memory leak in `IsDebugEnabled()` under Windows (#5948)

* w

* w

Co-authored-by: modav <modav@microsoft.com>
(cherry picked from commit e207589631)

* Add support for Python 3.8+ on Windows when CUDA is enabled (#5956)

(cherry picked from commit 015fbb3dbb)

* Support the cross compiling for Apple Silicon (#5974)

* support macos_arm64 cross compiling

* update the build docs

* update as commented.

* Update BUILD.md
(cherry picked from commit 2ec211ea7b)

* Update docker files to put 'unattended-upgrades' in a right place(#5983)

(cherry picked from commit 3323fb6082)

* Enable the xcode build for Apple Silicon (arm64 MacOS) (#5924)

* fix the build script for macos/xcode

* add the version check

* correct the osx-arch configuration

* typo
(cherry picked from commit 1852ade75d)

* Add python 3.9 support (#5874)

1. Add python 3.9 support(except Linux ARM)
2. Add Windows GPU python 3.8 to our packaging pipeline.

* Revert some pipeline changes in #5874

Co-authored-by: Ashwini Khade <askhade@microsoft.com>
Co-authored-by: Du Li <duli@OrtTrainingDev0.af05slrtruoetgaxwwjv5nsq5e.px.internal.cloudapp.net>
Co-authored-by: Dmitri Smirnov <yuslepukhin@users.noreply.github.com>
Co-authored-by: Adam Pocock <craigacp@gmail.com>
Co-authored-by: S. Manohar Karlapalem <manohar.karlapalem@intel.com>
Co-authored-by: Guoyu Wang <62914304+gwang-msft@users.noreply.github.com>
Co-authored-by: sfatimar <64512376+sfatimar@users.noreply.github.com>
Co-authored-by: Changming Sun <chasun@microsoft.com>
Co-authored-by: Tianlei Wu <tlwu@microsoft.com>
Co-authored-by: Maajid khan <n.maajidkhan@gmail.com>
Co-authored-by: Ryan Hill <38674843+RyanUnderhill@users.noreply.github.com>
Co-authored-by: Moshe David <mosdav165@gmail.com>
Co-authored-by: Ivan Stojiljkovic <17503404+ivanst0@users.noreply.github.com>
Co-authored-by: Wenbing Li <10278425+wenbingl@users.noreply.github.com>
2020-12-02 13:45:20 -08:00
..
src Cherry picking for Rel-1.6 (#6006) 2020-12-02 13:45:20 -08:00
testdata [Java] Tidying up the sample MNIST code (#3824) 2020-05-05 14:34:13 -07:00
build-android.gradle Make Java API available on Android (#3030) 2020-02-27 08:23:50 -08:00
build.gradle Java GPu artifact naming (#4179) 2020-06-10 11:15:48 -07:00
README.md Java API: Documentation cleanup (#4395) 2020-08-13 12:06:42 -07:00
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

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

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.

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.

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 currently.