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* link to folder instead of READMEs inside folder (#3938) otherwise hard to find the source code * [Node.js binding] fix linux build (#3927) * [Node.js binding] add build flag for node.js binding (#3948) * [Nodejs binding] create a new pipeline to generate signed binaries (#4104) * add yml files * update pipeline * fix yaml syntax * yaml pop BuildCSharp * udpate yaml * do not stage codesign summary * fix build: pipeline Node.js version to 12.16.3 (#4145) * [Node.js binding] upgrade node-addon-api to 3.0 (#4148) * [Node.js binding] add linux and mac package (#4157) * try mac pipeline * fix path separator * copy prebuilds folder * split esrp yaml for win/mac * disable mac signing temporarily * add linux * fix indent * add nodetool in linux * add nodetool in win-ci-2019 * replace linux build by custom docker scripts * use manylinux as node 12.16 not working on centos6 * try ubuntu * loosen timeout for test case - multiple runs calls * add script to support update nodejs binding version (#4164) * [java] Adds a CUDA test (#3956) * [java] - adding a cuda enabled test. * Adding --build_java to the windows gpu ci pipeline. * Removing a stray line from the unit tests that always enabled CUDA for Java. * Update OnnxRuntime.java for OS X environment. (#3985) onnxruntime init failure due to wrong path of reading native libraries. In OS X 64 system, the arch name is detected as x86 which generates invalid path to read native libraries. Exception java.lang.UnsatisfiedLinkError: no onnxruntime in java.library.path at java.lang.ClassLoader.loadLibrary(ClassLoader.java:1867) at java.lang.Runtime.loadLibrary0(Runtime.java:870) at java.lang.System.loadLibrary(System.java:1122) at ai.onnxruntime.OnnxRuntime.load(OnnxRuntime.java:174) at ai.onnxruntime.OnnxRuntime.init(OnnxRuntime.java:81) at ai.onnxruntime.OrtEnvironment.<clinit>(OrtEnvironment.java:24) * Create Java publishing pipeline (#3944) Create CPU and GPu Java publishing pipelines. Final jars are tested on all platforms. However, signing and publishing to maven are manual steps. * Change group id to com.microsoft.onnxruntime per requirements. * Java GPu artifact naming (#4179) Modify gradle build so artifactID has _gpu for GPU builds. Pass USE_CUDA flag on CUDA build Adjust publishing pipelines to extract POM from a correct path. Co-Authored-By: @Craigacp * bump up ORT version to 1.3.1 (#4181) * move back to toolset 14.16 to possibly work around nvcc bug (#4180) * Symbolic shape inference exit on models without onnx opset used (#4090) * Symbolic shape inference exit on models without onnx opset used * Temporary fix for ConvTranspose with symbolic input dims Co-authored-by: Changming Sun <me@sunchangming.com> * Fix Nuphar test failure * Enlarge the read buffer size in C#/Java test code (#4150) 1. Enlarge the read buffer size further, so that our code can run even faster. TODO: need apply the similar changes to python some other language bindings. 2. Add coreml_VGG16_ImageNet to the test exclusion set of x86_32. It is not a new model but previously we didn't run the test against x86_32. * Temporarily disable windows static analysis CI job * skip model coreml_Imputer-LogisticRegression_sklearn_load_breast_cancer * Delete unused variable Co-authored-by: Prasanth Pulavarthi <prasantp@microsoft.com> Co-authored-by: Yulong Wang <yulongw@microsoft.com> Co-authored-by: Adam Pocock <adam.pocock@oracle.com> Co-authored-by: jji2019 <49252772+jji2019@users.noreply.github.com> Co-authored-by: Dmitri Smirnov <yuslepukhin@users.noreply.github.com> Co-authored-by: Dmitri Smirnov <dmitrism@microsoft.com> Co-authored-by: George Wu <jywu@microsoft.com> Co-authored-by: KeDengMS <kedeng@microsoft.com> Co-authored-by: Changming Sun <me@sunchangming.com> Co-authored-by: Changming Sun <chasun@microsoft.com> |
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ONNX Runtime Node.js API
ONNX Runtime Node.js binding enables Node.js applications to run ONNX model inference.
Usage
Install the latest stable version:
npm install onnxruntime
Install the latest dev version:
npm install onnxruntime@dev
Refer to Node.js samples for samples and tutorials.
Requirements
ONNXRuntime works on Node.js v12.x+ or Electron v5.x+.
Following platforms are supported with pre-built binaries:
- Windows x64 CPU NAPI_v3
- Linux x64 CPU NAPI_v3
- MacOS x64 CPU NAPI_v3
To use on platforms without pre-built binaries, you can build Node.js binding from source and consume it by npm install <onnxruntime_repo_root>/nodejs/. See also BUILD.MD for building ONNX Runtime Node.js binding locally.
License
License information can be found here.