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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, Mean, util } from '@tensorflow/tfjs-core';
import { cast } from './Cast';
import { div } from './RealDiv';
import { sum } from './Sum';
export function mean(args) {
    const { inputs, backend, attrs } = args;
    const { x } = inputs;
    const { axis, keepDims } = attrs;
    const axes = util.parseAxisParam(axis, x.shape);
    const shapes = backend_util.computeOutAndReduceShapes(x.shape, axes);
    const reduceShape = shapes[1];
    const reduceSize = util.sizeFromShape(reduceShape);
    const toDispose = [];
    const reduceSizeScalar = backend.makeTensorInfo([], 'float32', new Float32Array([reduceSize]));
    toDispose.push(reduceSizeScalar);
    const $x = cast({ inputs: { x }, backend, attrs: { dtype: 'float32' } });
    toDispose.push($x);
    const res = div({ inputs: { a: $x, b: reduceSizeScalar }, backend });
    toDispose.push(res);
    const result = sum({ inputs: { x: res }, backend, attrs: { axis, keepDims } });
    toDispose.forEach(t => backend.disposeIntermediateTensorInfo(t));
    return result;
}
export const meanConfig = {
    kernelName: Mean,
    backendName: 'cpu',
    kernelFunc: mean
};
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