/**
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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 { Elu } from '@tensorflow/tfjs-core';
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import { unaryKernelFunc } from '../kernel_utils/kernel_funcs_utils';
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const ELU = `return (x >= 0.0) ? x : (exp(x) - 1.0);`;
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const ELU_PACKED = `
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vec4 result;
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result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);
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result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);
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result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);
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result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);
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return result;
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`;
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const elu = unaryKernelFunc({ opSnippet: ELU, packedOpSnippet: ELU_PACKED });
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export const eluConfig = {
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kernelName: Elu,
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backendName: 'webgl',
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kernelFunc: elu
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};
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