code: def __init__(self, units, activation=None):
      super(ResidualLayer, self).__init__()
  
      self.activation = activation
      self.dense_1 = nn.Linear(units, units)
      self.dense_2 = nn.Linear(units, units)
  
      self.reset_params()
  
imports: import torch.nn
  from modules.initializers import GlorotOrthogonal
label_desc: Use image node_id 1 to create a new ResidualLayer object from inherited base classes: nn with example: obj = ResidualLayer(units, activation)