mirror of
https://github.com/saymrwulf/onnxruntime.git
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abdc31de40
### Description
See
454996d496
for manual changes (excluded auto-generated formatting changes)
### Why
Because the toolsets for old clang-format is out-of-date. This reduces
the development efficiency.
- The NPM package `clang-format` is already in maintenance mode. not
updated since 2 years ago.
- The VSCode extension for clang-format is not maintained for a while,
and a recent Node.js security update made it not working at all in
Windows.
No one in community seems interested in fixing those.
Choose Prettier as it is the most popular TS/JS formatter.
### How to merge
It's easy to break the build:
- Be careful of any new commits on main not included in this PR.
- Be careful that after this PR is merged, other PRs that already passed
CI can merge.
So, make sure there is no new commits before merging this one, and
invalidate js PRs that already passed CI, force them to merge to latest.
92 lines
3 KiB
TypeScript
92 lines
3 KiB
TypeScript
// 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 { WebGLInferenceHandler } from '../inference-handler';
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import { transpose, TransposeAttributes } from './transpose';
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export interface DepthToSpaceAttributes {
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mode: 'DCR' | 'CRD';
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blocksize: number;
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}
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export const depthToSpace: OperatorImplementation<DepthToSpaceAttributes> = (
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inferenceHandler: WebGLInferenceHandler,
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inputs: Tensor[],
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attributes: DepthToSpaceAttributes,
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): Tensor[] => {
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validateInputs(inputs);
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const blocksize = attributes.blocksize;
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const blocksizeSqr = blocksize * blocksize;
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const transposePerm = attributes.mode === 'DCR' ? [0, 3, 4, 1, 5, 2] : [0, 1, 4, 2, 5, 3];
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const firstReshapeShape =
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attributes.mode === 'DCR'
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? [
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inputs[0].dims[0],
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blocksize,
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blocksize,
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inputs[0].dims[1] / blocksizeSqr,
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inputs[0].dims[2],
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inputs[0].dims[3],
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]
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: [
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inputs[0].dims[0],
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inputs[0].dims[1] / blocksizeSqr,
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blocksize,
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blocksize,
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inputs[0].dims[2],
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inputs[0].dims[3],
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];
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// const transpose = new WebGLTranspose();
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// const attributes = new Attribute(undefined);
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// attributes.set('perm', 'ints', transposePerm);
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// transpose.initialize(attributes);
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// First reshape
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const firstReshapedTensor = inferenceHandler.reshapeUnpacked(inputs[0], firstReshapeShape);
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// transpose
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const transposeAttributes: TransposeAttributes = { perm: transposePerm, cacheKey: `${transposePerm}` };
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const [transposeOutput] = transpose(inferenceHandler, [firstReshapedTensor], transposeAttributes);
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// Second reshape
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const secondReshapeShape = [
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inputs[0].dims[0],
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inputs[0].dims[1] / blocksizeSqr,
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inputs[0].dims[2] * blocksize,
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inputs[0].dims[3] * blocksize,
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];
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const result = inferenceHandler.reshapeUnpacked(transposeOutput, secondReshapeShape);
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return [result];
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};
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export const parseDepthToSpaceAttributes: OperatorInitialization<DepthToSpaceAttributes> = (
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node: Graph.Node,
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): DepthToSpaceAttributes => {
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// processing node attributes
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const blocksize = node.attributes.getInt('blocksize');
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if (blocksize < 1) {
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throw new Error(`blocksize must be >= 1, but got : ${blocksize} for DepthToSpace`);
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}
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const mode = node.attributes.getString('mode', 'DCR');
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if (mode !== 'DCR' && mode !== 'CRD') {
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throw new Error(`unrecognized mode: ${mode} for DepthToSpace`);
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}
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return { mode, blocksize };
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};
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const validateInputs = (inputs: Tensor[]): void => {
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if (inputs.length !== 1) {
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throw new Error(`DepthToSpace expect 1 inputs, but got ${inputs.length}`);
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}
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// Input has to be a 4-D tensor
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// TODO: Support string depth-to-space.
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if (inputs[0].type === 'string' || inputs[0].dims.length !== 4) {
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throw new TypeError('DepthToSpace input should be a 4-D numeric tensor');
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}
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};
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