| # 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 torch import nn | |
| class Identity(nn.Module): | |
| def __init__(self, *args, **kwargs): | |
| super().__init__() | |
| def forward(self, input): | |
| return input | |
| class MyGroupNorm(nn.GroupNorm): | |
| def __init__(self, num_channels, eps=1e-5, affine=True, num_groups=8): | |
| super(MyGroupNorm, self).__init__(num_groups, num_channels, eps, affine) | |