class_docstr: The improved SE Module.
class_docstr_tok: ["The","improved","SE","Module","."]
code: def __init__(self, channel, fm_size=7, se=True):
      super(eSEModule, self).__init__()
      self.se = se
  
      if self.se:
          self.avg_pool = nn.Conv2d(
              channel,
              channel,
              fm_size,
              1,
              0,
              groups=channel,
              bias=False,
          )
          self.fc = nn.Conv2d(
              channel, channel, kernel_size=1, padding=0
          )
          self.hsigmoid = Hsigmoid()
  
imports: from __future__ import absolute_import, division, print_function
  import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 1 to create a new eSEModule object from inherited base classes: nn with example: obj = eSEModule(channel, fm_size, se)