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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.
- # ============================================================================
- """
- define loss
- """
- from mindspore import nn
- import mindspore.common.dtype as mstype
- from mindspore.ops import operations as P
-
-
-
- class BCELoss(nn.Cell):
- """
- BCELoss
- """
- def __init__(self, record=None):
- super(BCELoss, self).__init__(record)
- self.sm_scalar = P.ScalarSummary()
- self.cast = P.Cast()
- self.record = record
- self.weight = None
- self.bce = P.BinaryCrossEntropy()
-
- def construct(self, input_data, target):
- target = self.cast(target, mstype.float32)
- loss = self.bce(input_data, target, self.weight)
- if self.record:
- self.sm_scalar("loss", loss)
- return loss
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