@tensorflow/tfjs-core/dist/ops/random_uniform_int.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/random_uniform_int" />
import { Tensor } from '../tensor';
import { Rank, ShapeMap } from '../types';
/**
 * Creates a `tf.Tensor` with integers sampled from a uniform distribution.
 *
 * The generated values are uniform integers in the range [minval, maxval). The
 * lower bound minval is included in the range, while the upper bound maxval is
 * excluded.
 *
 * ```js
 * tf.randomUniformInt([2, 2], 0, 10).print();
 * ```
 *
 * @param shape An array of integers defining the output tensor shape.
 * @param minval Inclusive lower bound on the generated integers.
 * @param maxval Exclusive upper bound on the generated integers.
 * @param seed An optional int. Defaults to 0. If seed is set to be non-zero,
 *   the random number generator is seeded by the given seed. Otherwise, it is
 *   seeded by a random seed.
 *
 * @doc {heading: 'Tensors', subheading: 'Random'}
 */
declare function randomUniformInt_<R extends Rank>(shape: ShapeMap[R], minval: number, maxval: number, seed?: number | string): Tensor<R>;
export declare const randomUniformInt: typeof randomUniformInt_;
export {};