class_docstr: an two-layer
class_docstr_tok: ["an","two-layer"]
code: def forward(self, x):
      x1 = self.act(self.bn1(self.Conv0(x)))
      x1 = self.act(self.bn2(torch.cat([self.Conv1(x1), x], dim=1)))
  
      return self.act(self.bn3(self.Conv2(x1)))
  
imports: import torch
  import torch.nn
label_desc: Use image node_id 2 for calling the Dense_layer obj's underlying member method code with example usage: obj.forward(x) and returns: self