code: def __init__(self, hp):
      super(LinearNorm, self).__init__()
      self.linear_layer = nn.Linear(hp["lstm_hidden"], hp["emb_dim"])
  
file_path: fairseq/examples/speech_synthesis/preprocessing/speaker_embedder/__init__.py
imports: import librosa
  import torch
  import torch.nn
  import torch.nn.functional
  import torch.utils.data
  import torchaudio
label_desc: Use image node_id 1 to create a new LinearNorm object from inherited base classes: nn with example: obj = LinearNorm(hp)