code: def __init__(self, inplanes, planes, rate):
      super(ASPP_module, self).__init__()
      if rate == 1:
          kernel_size = 1
          padding = 0
      else:
          kernel_size = 3
          padding = rate
      self.atrous_convolution = nn.Conv2d(
          inplanes,
          planes,
          kernel_size=kernel_size,
          stride=1,
          padding=padding,
          dilation=rate,
          bias=False,
      )
      self.bn = nn.BatchNorm2d(planes)
      self.relu = nn.ReLU()
  
      self._init_weight()
  
imports: import math
  import torch
  import torch.nn
  import torch.nn.functional
  import torch.utils.model_zoo
label_desc: Use image node_id 1 to create a new ASPP_module object from inherited base classes: nn with example: obj = ASPP_module(inplanes, planes, rate)