class_docstr: Alpha-Feature map scaling, added to the output of each residual block[1,2].
  
  Reference:
  [1] RawNet2 : https://www.isca-speech.org/archive/Interspeech_2020/pdfs/1011.pdf
  [2] AMFS    : https://www.koreascience.or.kr/article/JAKO202029757857763.page
code: def forward(self, x):
      y = F.adaptive_avg_pool1d(x, 1).view(x.size(0), -1)
      y = self.sig(self.fc(y)).view(x.size(0), x.size(1), -1)
  
      x = x + self.alpha
      x = x * y
      return x
  
file_path: espnet/espnet2/spk/layers/rawnet_block.py
imports: import math
  import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 2 for calling the AFMS obj's underlying member method code with example usage: obj.forward(x) and returns: x