tasq/node_modules/onnxruntime-web/lib/onnxjs/backends/webgl/ops/depth-to-space.ts

78 lines
3.1 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 {WebGLInferenceHandler} from '../inference-handler';
import {transpose, TransposeAttributes} from './transpose';
export interface DepthToSpaceAttributes {
mode: 'DCR'|'CRD';
blocksize: number;
}
export const depthToSpace: OperatorImplementation<DepthToSpaceAttributes> =
(inferenceHandler: WebGLInferenceHandler, inputs: Tensor[], attributes: DepthToSpaceAttributes): Tensor[] => {
validateInputs(inputs);
const blocksize = attributes.blocksize;
const blocksizeSqr = blocksize * blocksize;
const transposePerm = attributes.mode === 'DCR' ? [0, 3, 4, 1, 5, 2] : [0, 1, 4, 2, 5, 3];
const firstReshapeShape = attributes.mode === 'DCR' ?
[
inputs[0].dims[0], blocksize, blocksize, inputs[0].dims[1] / blocksizeSqr, inputs[0].dims[2],
inputs[0].dims[3]
] :
[
inputs[0].dims[0], inputs[0].dims[1] / blocksizeSqr, blocksize, blocksize, inputs[0].dims[2],
inputs[0].dims[3]
];
// const transpose = new WebGLTranspose();
// const attributes = new Attribute(undefined);
// attributes.set('perm', 'ints', transposePerm);
// transpose.initialize(attributes);
// First reshape
const firstReshapedTensor = inferenceHandler.reshapeUnpacked(inputs[0], firstReshapeShape);
// transpose
const transposeAttributes: TransposeAttributes = {perm: transposePerm, cacheKey: `${transposePerm}`};
const [transposeOutput] = transpose(inferenceHandler, [firstReshapedTensor], transposeAttributes);
// Second reshape
const secondReshapeShape = [
inputs[0].dims[0], inputs[0].dims[1] / blocksizeSqr, inputs[0].dims[2] * blocksize,
inputs[0].dims[3] * blocksize
];
const result = inferenceHandler.reshapeUnpacked(transposeOutput, secondReshapeShape);
return [result];
};
export const parseDepthToSpaceAttributes: OperatorInitialization<DepthToSpaceAttributes> =
(node: Graph.Node): DepthToSpaceAttributes => {
// processing node attributes
const blocksize = node.attributes.getInt('blocksize');
if (blocksize < 1) {
throw new Error(`blocksize must be >= 1, but got : ${blocksize} for DepthToSpace`);
}
const mode = node.attributes.getString('mode', 'DCR');
if (mode !== 'DCR' && mode !== 'CRD') {
throw new Error(`unrecognized mode: ${mode} for DepthToSpace`);
}
return {mode, blocksize};
};
const validateInputs = (inputs: Tensor[]): void => {
if (inputs.length !== 1) {
throw new Error(`DepthToSpace expect 1 inputs, but got ${inputs.length}`);
}
// Input has to be a 4-D tensor
// TODO: Support string depth-to-space.
if (inputs[0].type === 'string' || inputs[0].dims.length !== 4) {
throw new TypeError('DepthToSpace input should be a 4-D numeric tensor');
}
};