onnxruntime/js/web/lib/onnxjs/backends/webgl/ops/sum.ts
Yulong Wang 586f06f5a1
[js/web] set noUnusedParameters to true and fix a few bugs (#18404)
### Description
- set tsconfig "noUnusedParameters" to `true` and fix a few bugs
discovered by typescript.
   how unused parameter is fixed:
- for most code (webgl), add underscore as prefix, which is the standard
ignore pattern for typescript check.
- remove unused parameter from function and modify corresponding
function calls (jsep)
- fix a bug in ArgMinMax: this 2 operators do not have more than one
input(s) so the `createArgMinMaxAttributesFromInputs()` is removed.
- add proxy main.ts into typescript check and fix a bug in parameter
passing
   - fixed `run()` function call and add typecheck fix (hack)
2023-11-15 09:16:29 -08:00

68 lines
2.2 KiB
TypeScript

// Copyright (c) Microsoft Corporation. All rights reserved.
// Licensed under the MIT License.
import {Tensor} from '../../../tensor';
import {getGlsl} from '../glsl-source';
import {WebGLInferenceHandler} from '../inference-handler';
import {ProgramInfo, ProgramMetadata, TextureType} from '../types';
export const sum = (inferenceHandler: WebGLInferenceHandler, inputs: Tensor[]): Tensor[] => {
validateInputs(inputs);
const sumProgramMetadata = {
name: 'Sum',
inputNames: inputs.map((_v, i) => `X${i}`),
inputTypes: new Array(inputs.length).fill(TextureType.unpacked)
};
const output = inferenceHandler.run(
{...sumProgramMetadata, get: () => createSumProgramInfo(inferenceHandler, inputs, sumProgramMetadata)}, inputs);
return [output];
};
const createSumProgramInfo =
(inferenceHandler: WebGLInferenceHandler, inputs: Tensor[], sumProgramMetadata: ProgramMetadata): ProgramInfo => {
const glsl = getGlsl(inferenceHandler.session.backend.glContext.version);
const outputShape = inputs[0].dims.slice();
const sumLine = inputs.map((_v, i) => `${glsl.texture2D}(X${i},TexCoords)`).join(' + ');
const shaderSource = `
void main() {
vec4 result = ${sumLine};
${glsl.output} = result;
}
`;
return {
...sumProgramMetadata,
output: {dims: outputShape, type: inputs[0].type, textureType: TextureType.unpacked},
hasMain: true,
shaderSource
};
};
const validateInputs = (inputs: Tensor[]): void => {
if (!inputs || inputs.length === 0) {
throw new Error('Sum requires inputs.');
}
const length = inputs[0].dims.length;
for (let i = 1; i < inputs.length; i++) {
if (length !== inputs[i].dims.length) {
throw new Error('Input shapes are mismatched.');
}
for (let j = 0; j < length; j++) {
if (inputs[0].dims[j] !== inputs[i].dims[j]) {
throw new Error('Input shapes are not matched.');
}
}
}
if (inputs[0].type !== 'float32' && inputs[0].type !== 'float64') {
throw new Error('Invalid input type.');
}
for (let i = 1; i < inputs.length; i++) {
if (inputs[0].type !== inputs[i].type) {
throw new Error('Input types are not matched.');
}
}
};