class_docstr: JETS module (generator + discriminator).
  
  This is a module of JETS described in `JETS: Jointly Training FastSpeech2
  and HiFi-GAN for End to End Text to Speech'_.
  
  .. _`JETS: Jointly Training FastSpeech2 and HiFi-GAN for End to End Text to Speech`
      : https://arxiv.org/abs/2203.16852
class_docstr_tok: ["JETS","module","(","generator","+","discriminator",")",".","This","is","a","module","of","JETS","described","in","`","JETS",":","Jointly","Training","FastSpeech2","and","HiFi-GAN","for","End","to","End","Text","to","Speech","'","_",".","..","_","`","JETS",":","Jointly","Training","FastSpeech2","and","HiFi-GAN","for","End","to","End","Text","to","Speech","`",":","https",":","\/\/arxiv.org\/abs\/2203.16852"]
docstr: Return whether or not vocoder is required.
docstr_tok: ["Return","whether","or","not","vocoder","is","required","."]
code: def require_vocoder(self):
      """Return whether or not vocoder is required."""
      return False
  
file_path: espnet/espnet2/gan_tts/jets/jets.py
imports: from typing import Any, Dict, Optional
  import torch
  from typeguard import check_argument_types
  from espnet2.gan_tts.abs_gan_tts import AbsGANTTS
  from espnet2.gan_tts.hifigan import HiFiGANMultiPeriodDiscriminator, HiFiGANMultiScaleDiscriminator, HiFiGANMultiScaleMultiPeriodDiscriminator, HiFiGANPeriodDiscriminator, HiFiGANScaleDiscriminator
  from espnet2.gan_tts.hifigan.loss import DiscriminatorAdversarialLoss, FeatureMatchLoss, GeneratorAdversarialLoss, MelSpectrogramLoss
  from espnet2.gan_tts.jets.generator import JETSGenerator
  from espnet2.gan_tts.jets.loss import ForwardSumLoss, VarianceLoss
  from espnet2.gan_tts.utils import get_segments
  from espnet2.torch_utils.device_funcs import force_gatherable
label_desc: Use image node_id 3 for calling the JETS obj's underlying member method code with example usage: obj.require_vocoder() and returns: False