class_docstr: Compact Dilation Convolution based Module
class_docstr_tok: ["Compact","Dilation","Convolution","based","Module"]
code: def forward(self, x):
      x = self.relu1(x)
      x = self.conv1(x)
      x1 = self.conv2_1(x)
      x2 = self.conv2_2(x)
      x3 = self.conv2_3(x)
      x4 = self.conv2_4(x)
      return x1 + x2 + x3 + x4
  
imports: import os
  import math
  import torch
  import numpy
  import torch.nn
  import torch.nn.functional
  from typing import Optional
  from cftool.cv import to_uint8
  from ....parameters import OPT
label_desc: Use image node_id 2 for calling the CDCM obj's underlying member method code with example usage: obj.forward(x) and returns: unknown