code: def __init__(self, kernel_size, stride, padding, name="POOLING"):
      super(POOLING, self).__init__()
      self.name = name
      self.avgpool = nn.AvgPool2d(
          kernel_size=kernel_size,
          stride=1,
          padding=1,
          count_include_pad=False,
      )
  
imports: import torch.nn
label_desc: Use image node_id 1 to create a new POOLING object from inherited base classes: nn with example: obj = POOLING(kernel_size, stride, padding, name)