@tensorflow/tfjs-core
Version:
Hardware-accelerated JavaScript library for machine intelligence
34 lines (33 loc) • 1.5 kB
TypeScript
/**
* @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 {};