code: def __init__(self, inplanes, num_classes, rate):
      super(Atrous_module, self).__init__()
      planes = inplanes
      self.atrous_convolution = nn.Conv2d(
          inplanes,
          planes,
          kernel_size=3,
          stride=1,
          padding=rate,
          dilation=rate,
      )
      self.fc1 = nn.Conv2d(planes, planes, kernel_size=1, stride=1)
      self.fc2 = nn.Conv2d(planes, num_classes, kernel_size=1, stride=1)
  
imports: import math
  import torch.nn
  import torch.nn.functional
  import torchvision.models
label_desc: Use image node_id 1 to create a new Atrous_module object from inherited base classes: nn with example: obj = Atrous_module(inplanes, num_classes, rate)