code: def __init__(
      self,
      inplanes,
      planes,
      kernel_size=3,
      stride=1,
      dilation=1,
      bias=False,
      padding=0,
  ):
      super(SeparableConv2d_aspp, self).__init__()
  
      self.depthwise = nn.Conv2d(
          inplanes,
          inplanes,
          kernel_size,
          stride,
          padding,
          dilation,
          groups=inplanes,
          bias=bias,
      )
      self.depthwise_bn = nn.BatchNorm2d(inplanes)
      self.pointwise = nn.Conv2d(
          inplanes, planes, 1, 1, 0, 1, 1, bias=bias
      )
      self.pointwise_bn = nn.BatchNorm2d(planes)
      self.relu = nn.ReLU()
  
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 SeparableConv2d_aspp object from inherited base classes: nn with example: obj = SeparableConv2d_aspp(inplanes, planes, kernel_size, stride, dilation, bias, padding)