class_docstr: Average pooling in the channel dimension
class_docstr_tok: ["Average","pooling","in","the","channel","dimension"]
code: def __init__(self):
      super().__init__()
  
imports: from collections import OrderedDict
  from typing import Optional, Tuple, Type
  import torch
  import torch.nn
  from torchvision.models.resnet import Bottleneck, conv1x1, conv3x3
  from torchvision.ops.misc import FrozenBatchNorm2d
label_desc: Use image node_id 1 to create a new ChannelPool object from inherited base classes: nn with example: obj = ChannelPool()