/**
 * @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.
 * =============================================================================
 */
import { Tensor } from '../../tensor';
import { TensorLike } from '../../types';
import { Reduction } from '../loss_ops_utils';
/**
 * Computes the weighted loss between two tensors.
 *
 * @param losses Tensor of shape `[batch_size, d1, ... dN]`.
 * @param weights Tensor whose rank is either 0, or the same rank as
 *    `losses`, and must be broadcastable to `losses` (i.e., all
 *    dimensions must be either `1`, or the same as the corresponding
 *    `losses` dimension).
 *
 * @doc {heading: 'Training', subheading: 'Losses', namespace: 'losses'}
 */
declare function computeWeightedLoss_<T extends Tensor, O extends Tensor>(losses: T | TensorLike, weights?: Tensor | TensorLike, reduction?: Reduction): O;
export declare const computeWeightedLoss: typeof computeWeightedLoss_;
export {};