rev some npm packages

js/README.md

@@ -27,11 +27,9 @@ Please follow the steps described below to setup development environment.
 - Node.js (20.0+): https://nodejs.org/ - (Optional) Use nvm ([Windows](https://github.com/coreybutler/nvm-windows) / [Mac/Linux](https://github.com/creationix/nvm)) to install Node.js
 
 - Python (3.9+): https://www.python.org/downloads/
-
   - python should be added to the PATH environment variable
 
 - Visual Studio Code: https://code.visualstudio.com/
-
   - **required** extension: [ESLint](https://marketplace.visualstudio.com/items?itemName=dbaeumer.vscode-eslint)
   - **required** extension: [Prettier](https://marketplace.visualstudio.com/items?itemName=SimonSiefke.prettier-vscode)
   - **required** extension: [JavaScript Debugger](https://marketplace.visualstudio.com/items?itemName=ms-vscode.js-debug-nightly)
@@ -294,13 +292,11 @@ From ORT v1.19 onwards, the ONNX Runtime Mobile packages are no longer published
 ### Build
 
 1. Install NPM packages for ONNX Runtime common JavaScript library and required React Native JavaScript libraries
-
    - in `<ORT_ROOT>/js/`, run `npm ci`.
    - in `<ORT_ROOT>/js/common/`, run `npm ci`.
    - in `<ORT_ROOT>/js/react_native/`, run `yarn`.
 
 2. Acquire or build the Android ONNX Runtime package
-
    1. To use a published Android ONNX Runtime package from Maven, go to step 5.
 
    2. Set up an Android build environment using these [instructions](https://onnxruntime.ai/docs/build/android.html). Note that the dependencies are quite convoluted, so using the specified JDK and Gradle versions is important.
@@ -326,7 +322,6 @@ From ORT v1.19 onwards, the ONNX Runtime Mobile packages are no longer published
       ```
 
 3. Build iOS ONNX Runtime package
-
    1. To use the published C/C++ ONNX Runtime package from CocoaPods, skip all steps below.
 
    2. Set up iOS build environment using these [instructions](https://onnxruntime.ai/docs/build/ios.html).
@@ -371,7 +366,6 @@ From ORT v1.19 onwards, the ONNX Runtime Mobile packages are no longer published
 - Run E2E Testing with Detox framework
 
   When testing with integrated [Detox](https://wix.github.io/Detox/docs/next/introduction/getting-started) framework for Android and iOS e2e apps:
-
   - Detox prerequisites:
 
     Install detox command line tools:
@@ -388,7 +382,6 @@ From ORT v1.19 onwards, the ONNX Runtime Mobile packages are no longer published
     ```
 
     Main Detox project files:
-
     - `.detoxrc.js` -Detox config file;
     - `e2e/jest.config.js` -Jest configuration;
     - `e2e/OnnxruntimeModuleExample.test.js` - initial react native onnxruntimemodule e2e detox test.

js/common/lib/env-impl.ts

@@ -9,7 +9,7 @@ type LogLevelType = Env['logLevel'];
 let logLevelValue: Required<LogLevelType> = 'warning';
 
 export const env: Env = {
-  wasm: {} as Env.WebAssemblyFlags,
+  wasm: {},
   webgl: {} as Env.WebGLFlags,
   webgpu: {} as Env.WebGpuFlags,
   versions: { common: version },

js/common/lib/inference-session.ts

@@ -311,7 +311,8 @@ export declare namespace InferenceSession {
    * @see https://www.w3.org/TR/webnn/#dom-ml-createcontext
    */
   export interface WebNNOptionsWithMLContext
-    extends WebNNExecutionProviderName,
+    extends
+      WebNNExecutionProviderName,
       Omit<WebNNContextOptions, 'deviceType'>,
       Required<Pick<WebNNContextOptions, 'deviceType'>> {
     context: TryGetGlobalType<'MLContext'>;

js/common/lib/tensor-factory-impl.ts

@@ -19,11 +19,7 @@ import { Tensor } from './tensor-impl.js';
 import { Tensor as TensorInterface } from './tensor.js';
 
 interface BufferToTensorOptions
-  extends OptionsDimensions,
-    OptionsTensorLayout,
-    OptionsNormalizationParameters,
-    OptionsFormat,
-    OptionsTensorFormat {}
+  extends OptionsDimensions, OptionsTensorLayout, OptionsNormalizationParameters, OptionsFormat, OptionsTensorFormat {}
 
 /**
  * Create a new tensor object from image object

js/common/lib/tensor-factory.ts

@@ -42,8 +42,9 @@ interface GpuResourceConstructorParameters<T extends Tensor.Type> {
 /**
  * represent the parameter for constructing a tensor from a pinned CPU buffer
  */
-export interface CpuPinnedConstructorParameters<T extends Tensor.CpuPinnedDataTypes = Tensor.CpuPinnedDataTypes>
-  extends CommonConstructorParameters<T> {
+export interface CpuPinnedConstructorParameters<
+  T extends Tensor.CpuPinnedDataTypes = Tensor.CpuPinnedDataTypes,
+> extends CommonConstructorParameters<T> {
   /**
    * Specify the location of the data to be 'cpu-pinned'.
    */
@@ -58,8 +59,7 @@ export interface CpuPinnedConstructorParameters<T extends Tensor.CpuPinnedDataTy
  * represent the parameter for constructing a tensor from a WebGL texture
  */
 export interface TextureConstructorParameters<T extends Tensor.TextureDataTypes = Tensor.TextureDataTypes>
-  extends CommonConstructorParameters<T>,
-    GpuResourceConstructorParameters<T> {
+  extends CommonConstructorParameters<T>, GpuResourceConstructorParameters<T> {
   /**
    * Specify the location of the data to be 'texture'.
    */
@@ -74,8 +74,7 @@ export interface TextureConstructorParameters<T extends Tensor.TextureDataTypes
  * represent the parameter for constructing a tensor from a WebGPU buffer
  */
 export interface GpuBufferConstructorParameters<T extends Tensor.GpuBufferDataTypes = Tensor.GpuBufferDataTypes>
-  extends CommonConstructorParameters<T>,
-    GpuResourceConstructorParameters<T> {
+  extends CommonConstructorParameters<T>, GpuResourceConstructorParameters<T> {
   /**
    * Specify the location of the data to be 'gpu-buffer'.
    */
@@ -87,8 +86,7 @@ export interface GpuBufferConstructorParameters<T extends Tensor.GpuBufferDataTy
 }
 
 export interface MLTensorConstructorParameters<T extends Tensor.MLTensorDataTypes = Tensor.MLTensorDataTypes>
-  extends CommonConstructorParameters<T>,
-    GpuResourceConstructorParameters<T> {
+  extends CommonConstructorParameters<T>, GpuResourceConstructorParameters<T> {
   /**
    * Specify the location of the data to be 'ml-tensor'.
    */
@@ -191,51 +189,51 @@ export interface OptionsNormalizationParameters {
 // #region Options composition
 
 export interface TensorFromImageDataOptions
-  extends OptionResizedDimensions,
+  extends
+    OptionResizedDimensions,
     OptionsTensorFormat,
     OptionsTensorLayout,
     OptionsTensorDataType,
     OptionsNormalizationParameters {}
 
 export interface TensorFromImageElementOptions
-  extends OptionResizedDimensions,
+  extends
+    OptionResizedDimensions,
     OptionsTensorFormat,
     OptionsTensorLayout,
     OptionsTensorDataType,
     OptionsNormalizationParameters {}
 
 export interface TensorFromUrlOptions
-  extends OptionsDimensions,
+  extends
+    OptionsDimensions,
     OptionResizedDimensions,
     OptionsTensorFormat,
     OptionsTensorLayout,
     OptionsTensorDataType,
     OptionsNormalizationParameters {}
 
 export interface TensorFromImageBitmapOptions
-  extends OptionResizedDimensions,
+  extends
+    OptionResizedDimensions,
     OptionsTensorFormat,
     OptionsTensorLayout,
     OptionsTensorDataType,
     OptionsNormalizationParameters {}
 
 export interface TensorFromTextureOptions<T extends Tensor.TextureDataTypes>
-  extends Required<OptionsDimensions>,
-    OptionsFormat,
-    GpuResourceConstructorParameters<T> /* TODO: add more */ {}
+  extends Required<OptionsDimensions>, OptionsFormat, GpuResourceConstructorParameters<T> /* TODO: add more */ {}
 
 export interface TensorFromGpuBufferOptions<T extends Tensor.GpuBufferDataTypes>
-  extends Pick<Tensor, 'dims'>,
-    GpuResourceConstructorParameters<T> {
+  extends Pick<Tensor, 'dims'>, GpuResourceConstructorParameters<T> {
   /**
    * Describes the data type of the tensor.
    */
   dataType?: T;
 }
 
 export interface TensorFromMLTensorOptions<T extends Tensor.MLTensorDataTypes>
-  extends Pick<Tensor, 'dims'>,
-    GpuResourceConstructorParameters<T> {
+  extends Pick<Tensor, 'dims'>, GpuResourceConstructorParameters<T> {
   /**
    * Describes the data type of the tensor.
    */

js/node/lib/backend.ts

@@ -41,7 +41,12 @@ class OnnxruntimeSessionHandler implements InferenceSessionHandler {
     if (typeof pathOrBuffer === 'string') {
       this.#inferenceSession.loadModel(pathOrBuffer, options);
     } else {
-      this.#inferenceSession.loadModel(pathOrBuffer.buffer, pathOrBuffer.byteOffset, pathOrBuffer.byteLength, options);
+      this.#inferenceSession.loadModel(
+        pathOrBuffer.buffer as ArrayBuffer,
+        pathOrBuffer.byteOffset,
+        pathOrBuffer.byteLength,
+        options,
+      );
     }
 
     // prepare input/output names and metadata