/**
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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/losses/absolute_difference" />
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import { Tensor } from '../../tensor';
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import { TensorLike } from '../../types';
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import { Reduction } from '../loss_ops_utils';
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/**
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* Computes the absolute difference loss between two tensors.
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*
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* @param labels The ground truth output tensor, same dimensions as
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* 'predictions'.
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* @param predictions The predicted outputs.
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* @param weights Tensor whose rank is either 0, or the same rank as
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* `labels`, and must be broadcastable to `labels` (i.e., all dimensions
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* must be either `1`, or the same as the corresponding `losses`
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* dimension).
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* @param reduction Type of reduction to apply to loss. Should be of type
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* `Reduction`
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*
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* @doc {heading: 'Training', subheading: 'Losses', namespace: 'losses'}
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*/
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declare function absoluteDifference_<T extends Tensor, O extends Tensor>(labels: T | TensorLike, predictions: T | TensorLike, weights?: Tensor | TensorLike, reduction?: Reduction): O;
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export declare const absoluteDifference: typeof absoluteDifference_;
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export {};
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