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2025-06-12 7b72ac13a83764a662159d4a49b7fffb90476ecb

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/**
 * @license
 * Copyright 2020 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 { DenseBincount } from '@tensorflow/tfjs-core';
import { bincountImplCPU, bincountReduceImplCPU } from '../kernel_utils/shared';
export function denseBincount(args) {
    const { inputs, backend, attrs } = args;
    const { x, weights } = inputs;
    const { size, binaryOutput } = attrs;
    if (x.shape.length === 1) {
        const xVals = backend.readSync(x.dataId);
        const weightsVals = backend.readSync(weights.dataId);
        const outVals = bincountImplCPU(xVals, weightsVals, weights.dtype, weights.shape, size);
        return backend.makeTensorInfo([size], weights.dtype, outVals);
    }
    else if (x.shape.length === 2) {
        const xBuf = backend.bufferSync(x);
        const weightsBuf = backend.bufferSync(weights);
        const outBuf = bincountReduceImplCPU(xBuf, weightsBuf, size, binaryOutput);
        return backend.makeTensorInfo(outBuf.shape, weights.dtype, outBuf.values);
    }
    throw new Error(`Error in denseBincount: input must be at most rank 2, but got rank` +
        `${x.shape.length}.`);
}
export const denseBincountConfig = {
    kernelName: DenseBincount,
    backendName: 'webgl',
    kernelFunc: denseBincount
};
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