code: def make_feedforward_transformer_args(**kwargs):
      defaults = dict(
          spk_embed_dim=None,
          adim=32,
          aheads=4,
          elayers=2,
          eunits=32,
          dlayers=2,
          dunits=32,
          duration_predictor_layers=2,
          duration_predictor_chans=64,
          duration_predictor_kernel_size=3,
          duration_predictor_dropout_rate=0.1,
          positionwise_layer_type="linear",
          positionwise_conv_kernel_size=1,
          postnet_layers=0,
          postnet_filts=5,
          postnet_chans=32,
          transformer_enc_dropout_rate=0.1,
          transformer_enc_positional_dropout_rate=0.1,
          transformer_enc_attn_dropout_rate=0.0,
          transformer_dec_dropout_rate=0.1,
          transformer_dec_positional_dropout_rate=0.1,
          transformer_dec_attn_dropout_rate=0.3,
          transformer_enc_dec_attn_dropout_rate=0.0,
          spk_embed_integration_type="add",
          use_masking=True,
          use_weighted_masking=False,
          use_scaled_pos_enc=True,
          encoder_normalize_before=True,
          decoder_normalize_before=True,
          encoder_concat_after=False,
          decoder_concat_after=False,
          transformer_init="pytorch",
          initial_encoder_alpha=1.0,
          initial_decoder_alpha=1.0,
          transfer_encoder_from_teacher=False,
          transferred_encoder_module="all",
          reduction_factor=1,
          teacher_model=None,
      )
      defaults.update(kwargs)
      return defaults
  
imports: import json
  import os
  import shutil
  import tempfile
  from argparse import Namespace
  import numpy
  import pytest
  import torch
  from espnet.nets.pytorch_backend.e2e_tts_fastspeech import FeedForwardTransformer
  from espnet.nets.pytorch_backend.e2e_tts_tacotron2 import Tacotron2
  from espnet.nets.pytorch_backend.e2e_tts_transformer import Transformer
  from espnet.nets.pytorch_backend.fastspeech.duration_calculator import DurationCalculator
  from espnet.nets.pytorch_backend.fastspeech.length_regulator import LengthRegulator
  from espnet.nets.pytorch_backend.nets_utils import pad_list
label_desc: Use image node_id 4 for calling a global function with example usage: make_feedforward_transformer_args() and returns: defaults