onnxruntime/js/node
Yulong Wang 5228332c9f
[js] upgrade JS shared dev dependencies (#17831)
### Description
upgrade JS shared dev dependencies.

- webpack: removed
- eslint: upgrade to latest.
   - eslint config upgraded to compatible with latest version
- typescript upgrade to v5
   - update module "CommonJS" to "Node16" in tsconfig
- update deprecated config "importsNotUsedAsValues" to
"verbatimModuleSyntax"
- remove webpack bundles in onnxruntime-common
2023-10-10 17:44:39 -07:00
..
lib Add training interfaces to js/common (#17333) 2023-09-29 19:05:10 -07:00
script [js] update prepack script to use exact version (#17484) 2023-09-13 00:07:16 -07:00
src [TensorRT EP] Refactor OrtTensorRTProviderOptions initialization and make it easy to add new field (#17617) 2023-10-06 14:12:20 -07:00
test [js/node] release sessions after use in npm test (#17353) 2023-09-05 23:42:32 -07:00
.gitignore
.npmignore
CMakeLists.txt Added DML and CUDA provider support in onnxruntime-node (#16050) 2023-08-25 16:57:06 -07:00
package-lock.json Bump Up Version to 1.17.0 (#17587) 2023-09-20 11:02:58 +08:00
package.json Bump Up Version to 1.17.0 (#17587) 2023-09-20 11:02:58 +08:00
README.md Added DML and CUDA provider support in onnxruntime-node (#16050) 2023-08-25 16:57:06 -07:00
tsconfig.json [js] upgrade JS shared dev dependencies (#17831) 2023-10-10 17:44:39 -07:00

ONNX Runtime Node.js Binding

ONNX Runtime Node.js binding enables Node.js applications to run ONNX model inference.

Usage

Install the latest stable version:

npm install onnxruntime-node

Refer to ONNX Runtime JavaScript examples 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>/js/node/. See also instructions for building ONNX Runtime Node.js binding locally.

GPU Support

Right now, the Windows version supports only the DML provider. Linux x64 can use CUDA and TensorRT.

License

License information can be found here.