@hoff97/tensor-js
Version:
PyTorch like deep learning inferrence library
40 lines • 1.22 kB
JavaScript
export class ProductBack {
constructor(input, product, sumDims, keepDims) {
this.input = input;
this.product = product;
this.sumDims = sumDims;
this.keepDims = keepDims;
}
backward(grad) {
const inShape = this.input.value.getShape();
let mult = grad.multiply(this.product);
if (!this.keepDims) {
const newShape = [];
let sumI = 0;
for (let i = 0; i < inShape.length; i++) {
if (sumI < this.sumDims.length && this.sumDims[sumI] === i) {
newShape.push(1);
sumI++;
}
else {
newShape.push(inShape[i]);
}
}
mult = mult.reshape(newShape, false);
}
const expanded = mult.expand(inShape);
mult.delete();
const gradIn = expanded.divide(this.input.value);
expanded.delete();
const needed = this.input.backward(gradIn);
if (!needed) {
gradIn.delete();
}
}
delete() {
if (!this.input.isLeaf()) {
this.input.delete();
}
}
}
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