/**
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* @license
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* Copyright 2020 Google Inc. 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/mean" />
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import { Tensor } from '../tensor';
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import { TensorLike } from '../types';
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/**
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* Computes the mean of elements across dimensions of a `tf.Tensor`.
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*
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* Reduces `x` along the dimensions given in `axis`. Unless `keepDims` is
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* true, the rank of the `tf.Tensor` is reduced by 1 for each entry in `axis`.
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* If `keepDims` is true, the reduced dimensions are retained with length 1.
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* If `axis` has no entries, all dimensions are reduced, and a `tf.Tensor` with
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* a single element is returned.
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*
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* ```js
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* const x = tf.tensor1d([1, 2, 3]);
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*
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* x.mean().print(); // or tf.mean(a)
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* ```
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*
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* ```js
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* const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);
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*
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* const axis = 1;
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* x.mean(axis).print(); // or tf.mean(x, axis)
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* ```
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*
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* @param x The input tensor.
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* @param axis The dimension(s) to reduce. By default it reduces
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* all dimensions.
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* @param keepDims If true, retains reduced dimensions with size 1.
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*
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* @doc {heading: 'Operations', subheading: 'Reduction'}
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*/
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declare function mean_<T extends Tensor>(x: Tensor | TensorLike, axis?: number | number[], keepDims?: boolean): T;
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export declare const mean: typeof mean_;
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export {};
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