code: def __init__(
      self,
      in_channels,
      out_channels,
      use_bn=False,
      act_func=None,
      dropout_rate=0,
      ops_order="weight_bn_act",
  ):
      super(IdentityLayer, self).__init__(
          in_channels,
          out_channels,
          use_bn,
          act_func,
          dropout_rate,
          ops_order,
      )
  
imports: from collections import OrderedDict
  from nni.retiarii.serializer import basic_unit
  import torch
  import nni.retiarii.nn.pytorch
  from putils import get_same_padding, build_activation
label_desc: Use image node_id 1 to create a new IdentityLayer object from inherited base classes: Base2DLayer with example: obj = IdentityLayer(in_channels, out_channels, use_bn, act_func, dropout_rate, ops_order)