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- # Copyright 2020 Huawei Technologies Co., Ltd
- #
- # 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.
- # ============================================================================
- """
- Loss.
-
- Cells of loss function. Loss function in machine learning is the target of the model.
- It shows how well the model works on a dataset and the optimization target which the optimizer is searching.
- """
-
- from .loss import L1Loss, MSELoss, SmoothL1Loss, FocalLoss,\
- SoftmaxCrossEntropyWithLogits, BCELoss, CosineEmbeddingLoss, \
- SampledSoftmaxLoss, DiceLoss, BCEWithLogitsLoss, MultiClassDiceLoss
-
-
- __all__ = ['L1Loss', 'MSELoss', 'SmoothL1Loss', 'FocalLoss',
- 'SoftmaxCrossEntropyWithLogits', 'BCELoss', 'BCEWithLogitsLoss',
- 'CosineEmbeddingLoss', 'SampledSoftmaxLoss', 'DiceLoss', 'MultiClassDiceLoss']
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