code: def __init__(self, inplanes, planes, rate=1):
      super(ASPP_module_rate0, self).__init__()
      if rate == 1:
          kernel_size = 1
          padding = 0
          self.atrous_convolution = nn.Conv2d(
              inplanes,
              planes,
              kernel_size=kernel_size,
              stride=1,
              padding=padding,
              dilation=rate,
              bias=False,
          )
          self.bn = nn.BatchNorm2d(planes, eps=1e-5, affine=True)
          self.relu = nn.ReLU()
      else:
          raise RuntimeError()
  
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_rate0 object from inherited base classes: nn with example: obj = ASPP_module_rate0(inplanes, planes, rate)