code: def compute_style_mel(style_wav, ap, cuda=False):
      style_mel = torch.FloatTensor(
          ap.melspectrogram(ap.load_wav(style_wav, sr=ap.sample_rate))
      ).unsqueeze(0)
      if cuda:
          return style_mel.cuda()
      return style_mel
  
file_path: TTS/TTS/tts/utils/synthesis.py
imports: import pkg_resources
  import torch
  import numpy
  from .text import text_to_sequence, phoneme_to_sequence
label_desc: Use image node_id 4 for calling a global function with example usage: compute_style_mel(style_wav, ap, cuda) and returns: style_mel, style_mel