/**
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* @license
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* Copyright 2019 Google LLC. All Rights Reserved.
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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* =============================================================================
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*/
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import {Square, SquareInputs} from '../../../kernel_names';
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import {KernelConfig} from '../../../kernel_registry';
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import {MathBackendCPU} from '../backend_cpu';
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import {assertNotComplex} from '../cpu_util';
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export const squareConfig: KernelConfig = {
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kernelName: Square,
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backendName: 'cpu',
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kernelFunc: ({inputs, backend}) => {
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const {x} = inputs as SquareInputs;
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const cpuBackend = backend as MathBackendCPU;
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assertNotComplex(x, 'square');
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const values = cpuBackend.data.get(x.dataId).values as Float32Array;
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const newValues = new Float32Array(values.length);
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for (let i = 0; i < values.length; ++i) {
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const value = values[i];
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newValues[i] = value * value;
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}
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const dataId = cpuBackend.write(newValues, x.shape, x.dtype);
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return {dataId, shape: x.shape, dtype: x.dtype};
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}
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};
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