@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
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text/typescript
/**
* @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, SquareInputs} from '../../../kernel_names';
import {KernelConfig} from '../../../kernel_registry';
import {MathBackendCPU} from '../backend_cpu';
import {assertNotComplex} from '../cpu_util';
export const squareConfig: KernelConfig = {
kernelName: Square,
backendName: 'cpu',
kernelFunc: ({inputs, backend}) => {
const {x} = inputs as SquareInputs;
const cpuBackend = backend as MathBackendCPU;
assertNotComplex(x, 'square');
const values = cpuBackend.data.get(x.dataId).values as Float32Array;
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};
}
};