/**
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* @license
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* Copyright 2020 Google LLC. All Rights Reserved.
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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/rand" />
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import { Tensor } from '../tensor';
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import { DataType, Rank, ShapeMap } from '../types';
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/**
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* Creates a `tf.Tensor` with values sampled from a random number generator
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* function defined by the user.
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*
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* @param shape An array of integers defining the output tensor shape.
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* @param randFunction A random number generator function which is called
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* for each element in the output tensor.
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* @param dtype The data type of the output tensor. Defaults to 'float32'.
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*
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* @doc {heading: 'Tensors', subheading: 'Random'}
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*/
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declare function rand_<R extends Rank>(shape: ShapeMap[R], randFunction: () => number, dtype?: DataType): Tensor<R>;
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export declare const rand: typeof rand_;
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export {};
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