code: def _get_model_config(self):
      return {
          "upsample_rates": (8, 8, 4),
          "upsample_kernel_sizes": (16, 16, 8),
          "upsample_initial_channel": 256,
          "resblock_kernel_sizes": (3, 5, 7),
          "resblock_dilation_sizes": ((1, 2), (2, 6), (3, 12)),
          "resblock_type": 2,
          "in_channels": 80,
          "lrelu_slope": 0.1,
      }
  
imports: import math
  import torch
  from parameterized import parameterized
  from torchaudio.prototype.models import hifigan_vocoder, hifigan_vocoder_v1, hifigan_vocoder_v2, hifigan_vocoder_v3
  from torchaudio.prototype.pipelines import HIFIGAN_VOCODER_V3_LJSPEECH
  from torchaudio_unittest.common_utils import TestBaseMixin, torch_script
  from .original.env import AttrDict
  from .original.meldataset import mel_spectrogram
  from .original.models import Generator
label_desc: Use image node_id 1 for calling the HiFiGANTestImpl obj's underlying member method code with example usage: obj._get_model_config() and returns: dict