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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.
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)
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