code: def __init__(self, inplanes, planes, rate):
      super(ASPP_module, self).__init__()
      if rate == 1:
          raise RuntimeError()
      else:
          kernel_size = 3
          padding = rate
          self.atrous_convolution = SeparableConv2d_aspp(
              inplanes,
              planes,
              3,
              stride=1,
              dilation=rate,
              padding=padding,
          )
  
imports: import math
  import torch
  import torch.nn
  import torch.nn.functional
  from collections import OrderedDict
  import torch.utils.model_zoo
  from torch.nn.parameter import Parameter
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)