@hoff97/tensor-js/dist/lib/ops/gpu/util/concat.js

PyTorch like deep learning inferrence library

import { defaultAllocator } from '../../../tensor/gpu/gl';
import { getSize } from '../../../util/shape';
import { Operation } from '../operation';
export class ConcatOperation extends Operation {
    constructor(tensorConstructor, dtype, allocator) {
        super(tensorConstructor, dtype, allocator);
    }
    getVariables() {
        return `
    ${this.getVarModifier('axis')} int axis;
    `;
    }
    getUniformAttrs() {
        return [{ name: 'axis' }];
    }
    // eslint-disable-next-line @typescript-eslint/no-unused-vars
    getFragmentShader(info) {
        return `
    float process(int index[${this.maxRank}]) {
      float res = 0.0;
      for (int i = 0; i < ${this.maxRank}; i++) {
        if (i == axis) {
          if (index[i] >= shapeA[i]) {
            index[i] = index[i] - shapeA[i];
            res = _B(index);
          } else {
            res = _A(index);
          }
          break;
        }
      }
      return res;
    }

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