/**

* @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 {convertToTensor} from '../../tensor_util_env';

import {TensorLike} from '../../types';

import {assertShapesMatch} from '../../util';

import {abs} from '../abs';

import {Reduction} from '../loss_ops_utils';

import {op} from '../operation';

import {sub} from '../sub';

import {computeWeightedLoss} from './compute_weighted_loss';

/**

* Computes the absolute difference loss between two tensors.

*

* @param labels The ground truth output tensor, same dimensions as

* 'predictions'.

* @param predictions The predicted outputs.

* @param weights Tensor whose rank is either 0, or the same rank as

* `labels`, and must be broadcastable to `labels` (i.e., all dimensions

* must be either `1`, or the same as the corresponding `losses`

* dimension).

* @param reduction Type of reduction to apply to loss. Should be of type

* `Reduction`

*

* @doc {heading: 'Training', subheading: 'Losses', namespace: 'losses'}

*/

function absoluteDifference_<T extends Tensor, O extends Tensor>(

}

export const absoluteDifference = /* @__PURE__ */ op({absoluteDifference_});