/**
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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/truncated_normal" />
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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 values sampled from a truncated normal
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* distribution.
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*
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* ```js
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* tf.truncatedNormal([2, 2]).print();
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* ```
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*
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* The generated values follow a normal distribution with specified mean and
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* standard deviation, except that values whose magnitude is more than 2
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* standard deviations from the mean are dropped and re-picked.
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*
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* @param shape An array of integers defining the output tensor shape.
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* @param mean The mean of the normal distribution.
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* @param stdDev The standard deviation of the normal distribution.
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* @param dtype The data type of the output tensor.
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* @param seed The seed for the random number generator.
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*
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* @doc {heading: 'Tensors', subheading: 'Creation'}
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*/
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declare function truncatedNormal_<R extends Rank>(shape: ShapeMap[R], mean?: number, stdDev?: number, dtype?: 'float32' | 'int32', seed?: number): Tensor<R>;
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export declare const truncatedNormal: typeof truncatedNormal_;
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export {};
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