code: def forward(self, text: str):
      wav = None
      input_ids = self.frontend.get_input_ids(
          text, merge_sentences=True
      )
      phone_ids = input_ids["phone_ids"]
      for part_phone_ids in phone_ids:
          with paddle.no_grad():
              mel = self.fastspeech2_inference(part_phone_ids)
              temp_wav = self.pwg_inference(mel)
              if wav is None:
                  wav = temp_wav
              else:
                  wav = paddle.concat([wav, temp_wav])
  
      return wav
  
imports: import os
  from pathlib import Path
  from typing import List
  import numpy
  import paddle
  from paddlehub.env import MODULE_HOME
  from paddlehub.module.module import moduleinfo, serving
  from paddlehub.utils.log import logger
  from parakeet.frontend.zh_frontend import Frontend
  from parakeet.models.fastspeech2 import FastSpeech2
  from parakeet.models.fastspeech2 import FastSpeech2Inference
  from parakeet.models.parallel_wavegan import PWGGenerator
  from parakeet.models.parallel_wavegan import PWGInference
  from parakeet.modules.normalizer import ZScore
  import soundfile
  from yacs.config import CfgNode
  import yaml
label_desc: Use image node_id 2 for calling the FastSpeech obj's underlying member method code with example usage: obj.forward(text) and returns: wav