/**
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* @license
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* Copyright 2020 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 { Sigmoid } from '@tensorflow/tfjs-core';
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import { createSimpleUnaryImpl } from '../utils/unary_impl';
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import { unaryKernelFunc } from '../utils/unary_utils';
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export const sigmoidImpl = createSimpleUnaryImpl((xi) => 1 / (1 + Math.exp(-xi)));
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export const sigmoid = unaryKernelFunc(Sigmoid, (xi) => 1 / (1 + Math.exp(-xi)));
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export const sigmoidConfig = {
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kernelName: Sigmoid,
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backendName: 'cpu',
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kernelFunc: sigmoid,
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};
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