code: def __init__(self, groups, channels):
      super(GroupShuffle, self).__init__()
  
      self.groups = groups
      self.channels_per_group = channels // groups
  
imports: import math
  from typing import Callable, Iterable, List, Optional, Tuple
  import torch
  import torch.nn
  import torch.nn.functional
  from torch import Tensor
  from torch.nn.init import _calculate_correct_fan
  from torch.nn.modules.utils import _single
  from nemo.collections.common.parts.utils import activation_registry
  from nemo.core.classes.mixins import AccessMixin
  from nemo.core.classes.mixins.adapter_mixins import AdapterModuleMixin
  from nemo.utils import logging
label_desc: Use image node_id 1 to create a new GroupShuffle object from inherited base classes: nn with example: obj = GroupShuffle(groups, channels)