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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 { Reshape, util } from '@tensorflow/tfjs-core';
export function reshape(args) {
    const { inputs, backend, attrs } = args;
    const { x } = inputs;
    const { shape } = attrs;
    const xSize = util.sizeFromShape(x.shape);
    const $shape = util.inferFromImplicitShape(shape, xSize);
    const $xSize = util.sizeFromShape($shape);
    util.assert(xSize === $xSize, () => `The new shape (${$shape}) has ${$xSize} elements and the old ` +
        `shape (${x.shape}) has ${xSize} elements. The new shape and old ` +
        `shape must have the same number of elements.`);
    backend.incRef(x.dataId);
    const xData = backend.data.get(x.dataId);
    if (xData.complexTensorInfos != null) {
        const real = xData.complexTensorInfos.real;
        const imag = xData.complexTensorInfos.imag;
        real.shape = $shape;
        imag.shape = $shape;
    }
    return { dataId: x.dataId, shape: $shape, dtype: x.dtype };
}
export const reshapeConfig = {
    kernelName: Reshape,
    backendName: 'cpu',
    kernelFunc: reshape
};
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