/**
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* @license
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* Copyright 2023 Google LLC.
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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/kernels/BitwiseAnd" />
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import { BitwiseAndInputs, KernelConfig, TensorInfo } from '@tensorflow/tfjs-core';
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import { MathBackendWebGL } from '../backend_webgl';
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export declare const BITWISEAND = "\n int r = int(a.r) & int(b.r);\n int g = int(a.g) & int(b.g);\n int rb = int(a.b) & int(b.b);\n int ra = int(a.a) & int(b.a);\n return vec4(r, g, rb, ra);\n";
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export declare const BITWISEAND_UNPACKED = "\n return float(int(a.r) & int(b.r));\n";
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export declare function bitwiseAnd(args: {
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inputs: BitwiseAndInputs;
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backend: MathBackendWebGL;
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}): TensorInfo;
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export declare const bitwiseAndConfig: KernelConfig;
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