class_docstr: This class defines the dilated convolution.
docstr: :param input_: input feature map
  :return: transformed feature map
docstr_tok: [":","param","input_",":","input","feature","map",":","return",":","transformed","feature","map"]
code: def forward(self, input_):
      """
      :param input_: input feature map
      :return: transformed feature map
      """
      output = self.conv(input_)
      return output
  
imports: import torch
  import torch.nn
label_desc: Use image node_id 2 for calling the CDilated obj's underlying member method code with example usage: obj.forward(input_) and returns: output