code: def __init__(self, in_channels, out_channels):
      super(ASPPPooling, self).__init__(
          nn.AdaptiveAvgPool2d(1),
          nn.Conv2d(in_channels, out_channels, 1, bias=False),
          nn.BatchNorm2d(out_channels),
          nn.ReLU(),
      )
  
file_path: serve/examples/image_segmenter/deeplabv3/deeplabv3.py
imports: import torch
  from torch import nn
  from torch.nn import functional
label_desc: Use image node_id 1 to create a new ASPPPooling object from inherited base classes: nn with example: obj = ASPPPooling(in_channels, out_channels)