code: def make_style_melgan_generator_args(**kwargs):
      defaults = dict(
          in_channels=32,
          aux_channels=5,
          channels=16,
          out_channels=1,
          kernel_size=9,
          dilation=2,
          bias=True,
          noise_upsample_scales=[11, 2, 2, 2],
          noise_upsample_activation="LeakyReLU",
          noise_upsample_activation_params={"negative_slope": 0.2},
          upsample_scales=[2, 2],
          upsample_mode="nearest",
          gated_function="softmax",
          use_weight_norm=True,
      )
      defaults.update(kwargs)
      return defaults
  
file_path: espnet/test/espnet2/gan_tts/style_melgan/test_style_melgan.py
imports: import numpy
  import pytest
  import torch
  from espnet2.gan_tts.hifigan.loss import DiscriminatorAdversarialLoss, GeneratorAdversarialLoss
  from espnet2.gan_tts.style_melgan import StyleMelGANDiscriminator, StyleMelGANGenerator
label_desc: Use image node_id 1 for calling a global function with example usage: make_style_melgan_generator_args() and returns: defaults