@tensorflow/tfjs-core/dist/ops/bitwise_and.d.ts

Hardware-accelerated JavaScript library for machine intelligence

/**
 * @license
 * Copyright 2023 Google LLC.
 * 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="@tensorflow/tfjs-core/dist/ops/bitwise_and" />
import { Tensor } from '../tensor';
import { Rank } from '../types';
/**
 * Bitwise `AND` operation for input tensors.
 *
 * Given two input tensors, returns a new tensor
 * with the `AND` calculated values.
 *
 * The method supports int32 values
 *
 *
 * ```js
 * const x = tf.tensor1d([0, 5, 3, 14], 'int32');
 * const y = tf.tensor1d([5, 0, 7, 11], 'int32');
 * tf.bitwiseAnd(x, y).print();
 * ```
 *
 * @param x The input tensor to be calculated.
 * @param y The input tensor to be calculated.
 *
 * @doc {heading: 'Operations', subheading: 'Logical'}
 */
declare function bitwiseAnd_<R extends Rank>(x: Tensor, y: Tensor): Tensor<R>;
export declare const bitwiseAnd: typeof bitwiseAnd_;
export {};