code: def forward(self, inputs):
      x = self.dense_1(inputs)
      if self.activation is not None:
          x = self.activation(x)
      x = self.dense_2(x)
      if self.activation is not None:
          x = self.activation(x)
      return inputs + x
  
imports: import torch.nn
  from modules.initializers import GlorotOrthogonal
label_desc: Use image node_id 3 for calling the ResidualLayer obj's underlying member method code with example usage: obj.forward(inputs) and returns: unknown