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@tensorflow/tfjs-core

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Hardware-accelerated JavaScript library for machine intelligence

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