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2025-02-12 ea42ff3ebee1eeb3fb29423aa848a249441db81c

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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 { ArgMax, backend_util, util } from '@tensorflow/tfjs-core';
import { argMinMaxReduce } from '../kernel_utils/arg_min_max';
import { transpose } from './Transpose';
export function argMax(args) {
    const { inputs, backend, attrs } = args;
    const { x } = inputs;
    const { axis } = attrs;
    let axes = util.parseAxisParam(axis, x.shape);
    const permutedAxes = backend_util.getAxesPermutation(axes, x.shape.length);
    let $x = x;
    const intermediateTensorInfos = [];
    if (permutedAxes != null) {
        $x = transpose({ inputs: { x }, backend, attrs: { perm: permutedAxes } });
        intermediateTensorInfos.push($x);
        axes = backend_util.getInnerMostAxes(axes.length, $x.shape.length);
    }
    backend_util.assertAxesAreInnerMostDims('argMax', [axes[0]], $x.shape.length);
    const out = argMinMaxReduce(backend, $x, axes[0], 'max');
    intermediateTensorInfos.forEach(t => backend.disposeIntermediateTensorInfo(t));
    return out;
}
export const argMaxConfig = {
    kernelName: ArgMax,
    backendName: 'webgl',
    kernelFunc: argMax
};
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