# 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, \
    SoftmaxCrossEntropyWithLogits, BCELoss, CosineEmbeddingLoss

__all__ = ['L1Loss', 'MSELoss', 'SmoothL1Loss',
           'SoftmaxCrossEntropyWithLogits', 'BCELoss',
           'CosineEmbeddingLoss']