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