| # 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 | |
| class nnUNetTrainerV2_fp32(nnUNetTrainerV2): | |
| """ | |
| Info for Fabian: same as internal nnUNetTrainerV2_2 | |
| """ | |
| 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, False) | |