code: def __init__(self, pdc, inplane, ouplane, stride=1):
      super(PDCBlock, self).__init__()
      self.stride = stride
  
      self.stride = stride
      if self.stride > 1:
          self.pool = nn.MaxPool2d(kernel_size=2, stride=2)
          self.shortcut = nn.Conv2d(
              inplane, ouplane, kernel_size=1, padding=0
          )
      self.conv1 = Conv2d(
          pdc,
          inplane,
          inplane,
          kernel_size=3,
          padding=1,
          groups=inplane,
          bias=False,
      )
      self.relu2 = nn.ReLU()
      self.conv2 = nn.Conv2d(
          inplane, ouplane, kernel_size=1, padding=0, bias=False
      )
  
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 1 to create a new PDCBlock object from inherited base classes: nn with example: obj = PDCBlock(pdc, inplane, ouplane, stride)