code: def parse_outputs_torch(
      postnet_output, decoder_output, alignments, stop_tokens
  ):
      postnet_output = postnet_output[0].data.cpu().numpy()
      decoder_output = (
          None
          if decoder_output is None
          else decoder_output[0].data.cpu().numpy()
      )
      alignment = alignments[0].cpu().data.numpy()
      stop_tokens = (
          None if stop_tokens is None else stop_tokens[0].cpu().numpy()
      )
      return postnet_output, decoder_output, alignment, stop_tokens
  
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 8 for calling a global function with example usage: parse_outputs_torch(postnet_output, decoder_output, alignments, stop_tokens) and returns: postnet_output,  decoder_output,  alignment,  stop_tokens