code: def __init__(self, n_channels, scale=1.0):
      super(L2Norm, self).__init__()
      self.n_channels = n_channels
      self.scale = scale
      self.eps = 1e-10
      self.weight = nn.Parameter(
          torch.empty(self.n_channels).fill_(self.scale)
      )
  
file_path: face-alignment/face_alignment/detection/sfd/net_s3fd.py
imports: import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 1 to create a new L2Norm object from inherited base classes: nn with example: obj = L2Norm(n_channels, scale)