code: def _get_decoder_model(
      n_mels=80,
      encoder_embedding_dim=512,
      decoder_max_step=2000,
      gate_threshold=0.5,
  ):
      model = _Decoder(
          n_mels=n_mels,
          n_frames_per_step=1,
          encoder_embedding_dim=encoder_embedding_dim,
          decoder_rnn_dim=1024,
          decoder_max_step=decoder_max_step,
          decoder_dropout=0.1,
          decoder_early_stopping=True,
          attention_rnn_dim=1024,
          attention_hidden_dim=128,
          attention_location_n_filter=32,
          attention_location_kernel_size=31,
          attention_dropout=0.1,
          prenet_dim=256,
          gate_threshold=gate_threshold,
      )
      return model
  
imports: from typing import Tuple
  import torch
  from parameterized import parameterized
  from torch import Tensor
  from torchaudio.models import Tacotron2
  from torchaudio.models.tacotron2 import _Decoder, _Encoder
  from torchaudio_unittest.common_utils import skipIfPy310, TestBaseMixin, torch_script
label_desc: Use image node_id 1 for calling a global function with example usage: _get_decoder_model(n_mels, encoder_embedding_dim, decoder_max_step, gate_threshold) and returns: model