Function sparseSegmentSum

tfjs-backend-cpu/src/kernels/SparseSegmentSum.ts:24–52

(
    args: {inputs: SparseSegmentSumInputs, backend: MathBackendCPU})

import {sparseSegmentReductionImpl} from './SparseSegmentReduction_impl';

export function sparseSegmentSum(
    args: {inputs: SparseSegmentSumInputs, backend: MathBackendCPU}):
    TensorInfo {
  const {inputs, backend} = args;
  const {data, indices, segmentIds} = inputs;
  if (data.shape.length < 1) {
    throw new Error(
        `Data should be at least 1 dimensional but received scalar`);
  }
  if (indices.shape.length !== 1) {
    throw new Error(`Indices should be a vector but received shape
         ${indices.shape}`);
  }
  if (segmentIds.shape.length !== 1) {
    throw new Error(`Segment ids should be a vector but received shape
         ${segmentIds.shape}`);
  }
  if (indices.shape[0] !== segmentIds.shape[0]) {
    throw new Error(`segmentIds and indices should have same size.`);
  }

  const $data = backend.data.get(data.dataId).values as TypedArray;
  const $indices = backend.data.get(indices.dataId).values as TypedArray;
  const $segmentIds = backend.data.get(segmentIds.dataId).values as TypedArray;

  const [outputData, outputDataShape] = sparseSegmentReductionImpl(
      $data, data.shape, data.dtype, $indices, $segmentIds);
  return backend.makeTensorInfo(outputDataShape, data.dtype, outputData);
}

export const sparseSegmentSumConfig: KernelConfig = {
  kernelName: SparseSegmentSum,