code: def __init__(
      self,
      num_features,
      groups=32,
      group_size=None,
      apply_act=True,
      act_layer=None,
      eps=1e-3,
      **_,
  ):
      super().__init__(
          num_features,
          groups=groups,
          group_size=group_size,
          apply_act=apply_act,
          act_layer=act_layer,
          eps=eps,
      )
  
imports: from typing import Sequence, Union
  import torch
  import torch.nn
  import torch.nn.functional
  from .create_act import create_act_layer
  from .trace_utils import _assert
label_desc: Use image node_id 1 to create a new EvoNorm2dS2a object from inherited base classes: EvoNorm2dS2 with example: obj = EvoNorm2dS2a(num_features, groups, group_size, apply_act, act_layer, eps)