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 __init__(self, nb_dim: int) -> None:
      super().__init__()
      self.alpha = nn.Parameter(torch.ones((nb_dim, 1)))
      self.fc = nn.Linear(nb_dim, nb_dim)
      self.sig = nn.Sigmoid()
  
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 1 to create a new AFMS object from inherited base classes: nn with example: obj = AFMS(nb_dim)