@hoff97/tensor-js/dist/lib/ops/gpu/binary/binaryOperation.js

PyTorch like deep learning inferrence library

import { defaultAllocator } from '../../../tensor/gpu/gl';
import { getSize } from '../../../util/shape';
import { Operation } from './../operation';
export class BinaryOperation extends Operation {
    constructor(tensorConstructor, dtype, allocator) {
        super(tensorConstructor, dtype, allocator);
    }
    // eslint-disable-next-line @typescript-eslint/no-unused-vars
    getFragmentShader(info) {
        return `
    float process(int[${this.maxRank}] index) {
      return ${this.getOp('_A(index)', '_B(index)')};
    }

    ${this.getDefaultMain()}
    `;
    }
    getOutputShape(input) {
        return input.outputShape;
    }
    getTextureNames() {
        return ['A', 'B'];
    }
    calc(input) {
        return this.compute(input.outputShape, { A: input.A, B: input.B });
    }
    compile(info) {
        if (info.shapeA !== undefined) {
            this.maxRank = info.shapeA.length;
        }
        if (info.shapeB !== undefined) {
            this.maxRank = info.shapeB.length;
        }
        super.compile(info);
    }
    getCompilationInfo(input) {
        const outputSize = defaultAllocator.getAllocationDimensions(getSize(input.outputShape), this.dtype);
        return {
            shapeA: input.A.shape,
            widthA: input.A.memory.width,
            heightA: input.A.memory.height,
            shapeB: input.B.shape,
            widthB: input.B.memory.width,
            heightB: input.B.memory.height,
            shapeOutput: input.outputShape,
            widthOutput: outputSize.width,
            heightOutput: outputSize.height,
        };
    }
    getInputInfoString(input) {
        return `${input.A.shape}-${input.B.shape}`;
    }
}
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