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2025-06-12 7b72ac13a83764a662159d4a49b7fffb90476ecb

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/**
 * @license
 * Copyright 2019 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 { Square } from '@tensorflow/tfjs-core';
import { assertNotComplex } from '../cpu_util';
export const squareConfig = {
    kernelName: Square,
    backendName: 'cpu',
    kernelFunc: ({ inputs, backend }) => {
        const { x } = inputs;
        const cpuBackend = backend;
        assertNotComplex(x, 'square');
        const values = cpuBackend.data.get(x.dataId).values;
        const newValues = new Float32Array(values.length);
        for (let i = 0; i < values.length; ++i) {
            const value = values[i];
            newValues[i] = value * value;
        }
        const dataId = cpuBackend.write(newValues, x.shape, x.dtype);
        return { dataId, shape: x.shape, dtype: x.dtype };
    }
};
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