text: #    Copyright 2020 Division of Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, Germany
  #
  #    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.
  
  
  from tuframework.training.network_training.tuTrainerV2 import tuframeworkTrainerV2
  from tuframework.training.loss_functions.dice_loss import GDL_and_CE_loss
  
  
  class tuframeworkTrainerV2_Loss_CEGDL(tuframeworkTrainerV2):
      def __init__(self, plans_file, fold, output_folder=None, dataset_directory=None, batch_dice=True, stage=None,
                   unpack_data=True, deterministic=True, fp16=False):
          super().__init__(plans_file, fold, output_folder, dataset_directory, batch_dice, stage, unpack_data,
                           deterministic, fp16)
          self.loss = GDL_and_CE_loss({'batch_dice': self.batch_dice, 'smooth': 1e-5, 'do_bg': False}, {})
  