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@tensorflow/tfjs-core

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Hardware-accelerated JavaScript library for machine intelligence

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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 {NamedTensorInfoMap, registerKernel, TensorInfo} from '../../kernel_registry'; import {MathBackendCPU} from './backend_cpu'; import {assertNotComplex} from './cpu_util'; interface SquareInputs extends NamedTensorInfoMap { x: TensorInfo; } registerKernel({ 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}; } });