class_docstr: Squeeze-and-Excitation (SE) block: AvgPool, FC, Act, FC, Sigmoid.
code: def forward(self, x):
      return x * self.f_ex(self.avg_pool(x))
  
imports: import numpy
  import torch
  import torch.nn
  from pycls.core.config import cfg
  from torch.nn import Module
label_desc: Use image node_id 2 for calling the SE obj's underlying member method code with example usage: obj.forward(x) and returns: unknown