/**
|
* @license
|
* Copyright 2022 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_standard_normal" />
|
import { Tensor } from '../tensor';
|
import { Rank, ShapeMap } from '../types';
|
/**
|
* Creates a `tf.Tensor` with values sampled from a normal distribution.
|
*
|
* The generated values will have mean 0 and standard deviation 1.
|
*
|
* ```js
|
* tf.randomStandardNormal([2, 2]).print();
|
* ```
|
*
|
* @param shape An array of integers defining the output tensor shape.
|
* @param dtype The data type of the output.
|
* @param seed The seed for the random number generator.
|
*
|
* @doc {heading: 'Tensors', subheading: 'Random'}
|
*/
|
declare function randomStandardNormal_<R extends Rank>(shape: ShapeMap[R], dtype?: 'float32' | 'int32', seed?: number): Tensor<R>;
|
export declare const randomStandardNormal: typeof randomStandardNormal_;
|
export {};
|
