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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 { backend_util, GatherV2, util } from '@tensorflow/tfjs-core';
import { assertNotComplex } from '../cpu_util';
import { gatherV2Impl } from './GatherV2_impl';
import { reshape } from './Reshape';
export function gatherV2(args) {
    const { inputs, backend, attrs } = args;
    const { x, indices } = inputs;
    const { axis, batchDims } = attrs;
    assertNotComplex([x, indices], 'gatherV2');
    // Throw error when any index is out of bound.
    const parsedAxis = util.parseAxisParam(axis, x.shape)[0];
    const indicesVals = backend.data.get(indices.dataId).values;
    const axisDim = x.shape[parsedAxis];
    for (let i = 0; i < indicesVals.length; ++i) {
        const index = indicesVals[i];
        util.assert(index <= axisDim - 1 && index >= 0, () => `GatherV2: the index value ${index} is not in [0, ${axisDim - 1}]`);
    }
    let $batchDims = batchDims;
    if (batchDims == null) {
        $batchDims = 0;
    }
    const indicesSize = util.sizeFromShape(indices.shape);
    const shapeInfo = backend_util.segment_util.collectGatherOpShapeInfo(x, indices, parsedAxis, $batchDims);
    const flattenX = reshape({
        inputs: { x },
        backend,
        attrs: {
            shape: [
                shapeInfo.batchSize, shapeInfo.outerSize, shapeInfo.dimSize,
                shapeInfo.sliceSize
            ]
        }
    });
    const flattenIndex = reshape({
        inputs: { x: indices },
        backend,
        attrs: { shape: [shapeInfo.batchSize, indicesSize / shapeInfo.batchSize] }
    });
    const flattenOutputShape = [
        shapeInfo.batchSize, shapeInfo.outerSize, indicesSize / shapeInfo.batchSize,
        shapeInfo.sliceSize
    ];
    const indicesBuf = backend.bufferSync(flattenIndex);
    const xBuf = backend.bufferSync(flattenX);
    const outBuf = gatherV2Impl(xBuf, indicesBuf, flattenOutputShape);
    backend.disposeIntermediateTensorInfo(flattenX);
    backend.disposeIntermediateTensorInfo(flattenIndex);
    return backend.makeTensorInfo(shapeInfo.outputShape, outBuf.dtype, outBuf.values);
}
export const gatherV2Config = {
    kernelName: GatherV2,
    backendName: 'cpu',
    kernelFunc: gatherV2
};
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