class_docstr: Base class shared by Tacotron and Tacotron2
docstr: Init the coarse decoder for Double-Decoder Consistency.
docstr_tok: ["Init","the","coarse","decoder","for","Double-Decoder","Consistency","."]
code: def _init_coarse_decoder(self):
      """Init the coarse decoder for Double-Decoder Consistency."""
      self.coarse_decoder = copy.deepcopy(self.decoder)
      self.coarse_decoder.r_init = self.ddc_r
      self.coarse_decoder.set_r(self.ddc_r)
  
imports: import copy
  from abc import abstractmethod
  from typing import Dict, Tuple
  import torch
  from coqpit import Coqpit
  from torch import nn
  from TTS.tts.layers.losses import TacotronLoss
  from TTS.tts.models.base_tts import BaseTTS
  from TTS.tts.utils.helpers import sequence_mask
  from TTS.tts.utils.speakers import SpeakerManager
  from TTS.tts.utils.synthesis import synthesis
  from TTS.tts.utils.text.tokenizer import TTSTokenizer
  from TTS.tts.utils.visual import plot_alignment, plot_spectrogram
  from TTS.utils.generic_utils import format_aux_input
  from TTS.utils.io import load_fsspec
  from TTS.utils.training import gradual_training_scheduler
label_desc: Use image node_id 4 for calling the BaseTacotron obj's underlying member method code with example usage: obj._init_coarse_decoder() without return types