/**
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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/log_sum_exp" />
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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 log(sum(exp(elements across the reduction dimensions))).
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*
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* Reduces the input along the dimensions given in `axis`. Unless `keepDims`
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* is true, the rank of the array 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 an array with a
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* 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.logSumExp().print(); // or tf.logSumExp(x)
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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.logSumExp(axis).print(); // or tf.logSumExp(a, axis)
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* ```
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* @param x The input tensor.
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* @param axis The dimension(s) to reduce. If null (the default),
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* reduces all dimensions.
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* @param keepDims If true, retains reduced dimensions with length
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* of 1. Defaults to false.
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*
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* @doc {heading: 'Operations', subheading: 'Reduction'}
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*/
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declare function logSumExp_<T extends Tensor>(x: Tensor | TensorLike, axis?: number | number[], keepDims?: boolean): T;
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export declare const logSumExp: typeof logSumExp_;
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export {};
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