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onnxruntime/js/node
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Yulong Wang 6b0c97b43f
[js/web] fix typescript type check (#18343) 
### Description

This PR fixes the TypeScript type check.

Previously, when I use esbuild to replace webpack (#17745), typescript
typecheck was disabled. This causes a few TypeScript type error checked
in into the code base. This PR fixes the followings:

- Use "Node16" as default "module" value in tsconfig.json, because in
TypeScript v5, `(module == "ES2015" && moduleResolution == "Node16")` is
an invalid combination.
- Set `noUnusedParameters` to true as default. in web override it to
false because multiple code need to be updated ( a following-up PR will
do this )
- set correct project file for 'web/lib/**/*.ts' for ESLint (otherwise
WebGPU types are not populated correctly)
- fix type error in file js/web/lib/wasm/jsep/webgpu/program-manager.ts
- upgrade "@webgpu/types" to latest to fix type error in file
js/web/lib/wasm/jsep/backend-webgpu.ts
- add package script "prebuild" for web to run tsc type check
- add type check in CI yml file
2023-11-10 16:03:38 -08:00
..
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/web] fix typescript type check (#18343) 2023-11-10 16:03:38 -08:00

README.md

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.