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 nnunet.training.network_training.nnUNetTrainerV2 import nnUNetTrainerV2
  from nnunet.training.loss_functions.TopK_loss import TopKLoss
  
  
  class nnUNetTrainerV2_Loss_TopK10(nnUNetTrainerV2):
      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 = TopKLoss(k=10)
  
  
  nnUNetTrainerV2_Loss_TopK10_copy1 = nnUNetTrainerV2_Loss_TopK10
  nnUNetTrainerV2_Loss_TopK10_copy2 = nnUNetTrainerV2_Loss_TopK10
  nnUNetTrainerV2_Loss_TopK10_copy3 = nnUNetTrainerV2_Loss_TopK10
  nnUNetTrainerV2_Loss_TopK10_copy4 = nnUNetTrainerV2_Loss_TopK10
  
  