class_docstr: Squeeze-and-Excitation (SE) block: AvgPool, FC, Act, FC, Sigmoid.
class_docstr_tok: ["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
  from torch import nn
  from detectron2.layers import CNNBlockBase, ShapeSpec, get_norm
  from .backbone import Backbone
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