code: def __init__(self, in_channels=None, out_channels=None, **kwargs):
      super().__init__(in_channels, out_channels, **kwargs)
      self.global_pool = nn.AdaptiveAvgPool2d((1, 1))
  
imports: from abc import abstractmethod
  import torch
  import torch.nn
  import torch.nn.functional
  from ..cnn import ConvModule
label_desc: Use image node_id 1 to create a new GlobalPoolingCell object from inherited base classes: BaseMergeCell with example: obj = GlobalPoolingCell(in_channels, out_channels)