chore: update node_modules with new binary files and dependencies
- Add new binary files for nodemon, onnxruntime-web, and xenova/transformers - Update various JavaScript and TypeScript files in node_modules - Remove unused files and dependencies - Add new test fixtures and documentation files
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node_modules/onnxruntime-web/lib/onnxjs/backends/webgl/ops/unsqueeze.ts
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node_modules/onnxruntime-web/lib/onnxjs/backends/webgl/ops/unsqueeze.ts
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// Copyright (c) Microsoft Corporation. All rights reserved.
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// Licensed under the MIT License.
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import {Graph} from '../../../graph';
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import {OperatorImplementation, OperatorInitialization} from '../../../operators';
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import {Tensor} from '../../../tensor';
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import {ShapeUtil} from '../../../util';
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import {WebGLInferenceHandler} from '../inference-handler';
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export const unsqueeze: OperatorImplementation<number[]> =
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(inferenceHandler: WebGLInferenceHandler, inputs: Tensor[], axes: number[]): Tensor[] => {
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validateInputs(inputs);
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const outputShape = ShapeUtil.unsqueezeShape(inputs[0].dims, axes);
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const output = inferenceHandler.reshapeUnpacked(inputs[0], outputShape);
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return [output];
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};
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export const unsqueezeV13 = (inferenceHandler: WebGLInferenceHandler, inputs: Tensor[]): Tensor[] => {
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validateInputsV13(inputs);
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return unsqueeze(inferenceHandler, [inputs[0]], Array.from(inputs[1].integerData));
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};
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export const parseUnsqueezeAttributes: OperatorInitialization<number[]> = (node: Graph.Node): number[] =>
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node.attributes.getInts('axes');
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const validateInputs = (inputs: Tensor[]): void => {
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if (!inputs || inputs.length !== 1) {
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throw new Error('Unsqueeze requires 1 input.');
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}
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if (inputs[0].type === 'string') {
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throw new Error('invalid input tensor types.');
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}
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};
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const validateInputsV13 = (inputs: Tensor[]): void => {
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if (!inputs || inputs.length !== 2) {
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throw new Error('Unsqueeze requires 2 inputs.');
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}
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if (inputs[1].type !== 'int32') {
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throw new Error('Invalid input type.');
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}
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};
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