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loss.py 1.4 kB

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  1. # Copyright 2020 Huawei Technologies Co., Ltd
  2. #
  3. # Licensed under the Apache License, Version 2.0 (the "License");
  4. # you may not use this file except in compliance with the License.
  5. # You may obtain a copy of the License at
  6. #
  7. # http://www.apache.org/licenses/LICENSE-2.0
  8. #
  9. # Unless required by applicable law or agreed to in writing, software
  10. # distributed under the License is distributed on an "AS IS" BASIS,
  11. # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  12. # See the License for the specific language governing permissions and
  13. # limitations under the License.
  14. # ============================================================================
  15. """
  16. define loss
  17. """
  18. from mindspore import nn
  19. import mindspore.common.dtype as mstype
  20. from mindspore.ops import operations as P
  21. class BCELoss(nn.Cell):
  22. """
  23. BCELoss
  24. """
  25. def __init__(self, record=None):
  26. super(BCELoss, self).__init__(record)
  27. self.sm_scalar = P.ScalarSummary()
  28. self.cast = P.Cast()
  29. self.record = record
  30. self.weight = None
  31. self.bce = P.BinaryCrossEntropy()
  32. def construct(self, input_data, target):
  33. target = self.cast(target, mstype.float32)
  34. loss = self.bce(input_data, target, self.weight)
  35. if self.record:
  36. self.sm_scalar("loss", loss)
  37. return loss