tasq/node_modules/onnxruntime-web/lib/onnxjs/backends/webgl/ops/squeeze.ts

44 lines
1.5 KiB
TypeScript

// Copyright (c) Microsoft Corporation. All rights reserved.
// Licensed under the MIT License.
import {Graph} from '../../../graph';
import {OperatorImplementation, OperatorInitialization} from '../../../operators';
import {Tensor} from '../../../tensor';
import {ShapeUtil} from '../../../util';
import {WebGLInferenceHandler} from '../inference-handler';
export const squeeze: OperatorImplementation<number[]> =
(inferenceHandler: WebGLInferenceHandler, inputs: Tensor[], axes: number[]): Tensor[] => {
validateInputs(inputs);
const outputShape = ShapeUtil.squeezeShape(inputs[0].dims, axes);
const output = inferenceHandler.reshapeUnpacked(inputs[0], outputShape);
return [output];
};
export const squeezeV13 = (inferenceHandler: WebGLInferenceHandler, inputs: Tensor[]): Tensor[] => {
validateInputsV13(inputs);
return squeeze(inferenceHandler, [inputs[0]], Array.from(inputs[1].integerData));
};
export const parseSqueezeAttributes: OperatorInitialization<number[]> = (node: Graph.Node): number[] =>
node.attributes.getInts('axes');
const validateInputs = (inputs: Tensor[]): void => {
if (!inputs || inputs.length !== 1) {
throw new Error('Squeeze requires 1 input.');
}
if (inputs[0].type === 'string') {
throw new Error('invalid input tensor types.');
}
};
const validateInputsV13 = (inputs: Tensor[]): void => {
if (!inputs || inputs.length !== 2) {
throw new Error('Squeeze requires 2 inputs.');
}
if (inputs[1].type !== 'int32') {
throw new Error('Invalid input type.');
}
};