/**
 * @license
 * Copyright 2021 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.
 * =============================================================================
 */
/// <amd-module name="@nanopore/tfjs-backend-webgpu/dist/activation_util" />
import { backend_util } from '@tensorflow/tfjs-core';
export declare const typeSnippet: (component: number) => "f32" | "vec2<f32>" | "vec3<f32>" | "vec4<f32>";
export declare function activationFnSnippet(activation: backend_util.Activation, hasPreluActivationWeights?: boolean, packed?: boolean, coordsLength?: number): string;
export declare function biasActivationSnippet(hasBias: boolean, activation: backend_util.Activation): string;