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.
  
  
  import torch
  
  from nnunet.training.network_training.nnUNetTrainerV2 import nnUNetTrainerV2
  
  
  class nnUNetTrainerV2_momentum098(nnUNetTrainerV2):
      def initialize_optimizer_and_scheduler(self):
          assert self.network is not None, "self.initialize_network must be called first"
          self.optimizer = torch.optim.SGD(self.network.parameters(), self.initial_lr, weight_decay=self.weight_decay,
                                           momentum=0.98, nesterov=True)
          self.lr_scheduler = None
  