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2025-06-12 7b72ac13a83764a662159d4a49b7fffb90476ecb

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/**
 * @license
 * Copyright 2021 Google LLC. All Rights Reserved.
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 * =============================================================================
 */
import { SparseSegmentSum } from '@tensorflow/tfjs-core';
import { sparseSegmentReductionImpl } from './SparseSegmentReduction_impl';
export function sparseSegmentSum(args) {
    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;
    const $indices = backend.data.get(indices.dataId).values;
    const $segmentIds = backend.data.get(segmentIds.dataId).values;
    const [outputData, outputDataShape] = sparseSegmentReductionImpl($data, data.shape, data.dtype, $indices, $segmentIds);
    return backend.makeTensorInfo(outputDataShape, data.dtype, outputData);
}
export const sparseSegmentSumConfig = {
    kernelName: SparseSegmentSum,
    backendName: 'cpu',
    kernelFunc: sparseSegmentSum,
};
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