@hoff97/tensor-js/dist/lib/ops/gpu/unary/unaryOperation.js

PyTorch like deep learning inferrence library

import { defaultAllocator } from '../../../tensor/gpu/gl';
import { getSize } from '../../../util/shape';
import { Operation } from '../operation';
export class UnaryOperation extends Operation {
    constructor(tensorConstructor, dtype, allocator) {
        super(tensorConstructor, dtype, allocator);
    }
    // eslint-disable-next-line @typescript-eslint/no-unused-vars
    getFragmentShader(info) {
        return `
    void main() {
      initVars();

      gl_FragColor = ${this.operation('texture2D(X, uv)')};
    }
    `;
    }
    getTextureNames() {
        return ['X'];
    }
    calc(input) {
        return this.compute(input.input.shape, { X: input.input });
    }
    getOutputShape(input) {
        return input.input.shape;
    }
    compile(info) {
        if (info.shapeX !== undefined) {
            this.maxRank = info.shapeX.length;
        }
        super.compile(info);
    }
    getCompilationInfo(input) {
        const outputShape = this.getOutputShape(input);
        const outputSize = defaultAllocator.getAllocationDimensions(getSize(outputShape), this.dtype);
        return {
            shapeX: input.input.shape,
            widthX: input.input.memory.width,
            heightX: input.input.memory.height,
            shapeOutput: this.getOutputShape(input),
            widthOutput: outputSize.width,
            heightOutput: outputSize.height,
        };
    }
    getInputInfoString(input) {
        return `${input.input.shape}`;
    }
}
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