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# 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_momentum09in2D(nnUNetTrainerV2):
def initialize_optimizer_and_scheduler(self):
if self.threeD:
momentum = 0.99
else:
momentum = 0.9
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=momentum, nesterov=True)
self.lr_scheduler = None
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