/**
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* @license
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* Copyright 2017 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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/// <amd-module name="@tensorflow/tfjs-backend-webgl/dist/unaryop_gpu" />
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import { GPGPUProgram } from './gpgpu_math';
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export declare class UnaryOpProgram implements GPGPUProgram {
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variableNames: string[];
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userCode: string;
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outputShape: number[];
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enableShapeUniforms: boolean;
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constructor(aShape: number[], opSnippet: string);
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}
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export declare const CHECK_NAN_SNIPPET = "if (isnan(x)) return x;";
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export declare const LINEAR = "return x;";
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export declare const ABS = "return abs(x);";
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export declare function STEP(alpha?: number): string;
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export declare const ELU = "return (x >= 0.0) ? x : (exp(x) - 1.0);";
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export declare const RELU: string;
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export declare const RELU6: string;
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export declare const CLONE = "return x;";
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export declare const SIGMOID = "return 1.0 / (1.0 + exp(-1.0 * x));";
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