@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
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TypeScript
/**
* @license
* Copyright 2020 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="@tensorflow/tfjs-core/dist/ops/random_uniform" />
import { Tensor } from '../tensor';
import { DataType, Rank, ShapeMap } from '../types';
/**
* Creates a `tf.Tensor` with values sampled from a uniform distribution.
*
* The generated values follow a uniform distribution in the range [minval,
* maxval). The lower bound minval is included in the range, while the upper
* bound maxval is excluded.
*
* ```js
* tf.randomUniform([2, 2]).print();
* ```
*
* @param shape An array of integers defining the output tensor shape.
* @param minval The lower bound on the range of random values to generate.
* Defaults to 0.
* @param maxval The upper bound on the range of random values to generate.
* Defaults to 1.
* @param dtype The data type of the output tensor. Defaults to 'float32'.
* @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 randomUniform_<R extends Rank>(shape: ShapeMap[R], minval?: number, maxval?: number, dtype?: DataType, seed?: number | string): Tensor<R>;
export declare const randomUniform: typeof randomUniform_;
export {};