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