code: def test_v0_3_transformer_input_compatibility():
      args = make_arg()
      model, x, ilens, y, data, uttid_list = prepare("pytorch", args)
      # these old names are used in v.0.3.x
      state_dict = model.state_dict()
      prefix = "encoder."
      rename_state_dict(
          prefix + "embed.", prefix + "input_layer.", state_dict
      )
      rename_state_dict(
          prefix + "after_norm.", prefix + "norm.", state_dict
      )
      prefix = "decoder."
      rename_state_dict(
          prefix + "after_norm.", prefix + "output_norm.", state_dict
      )
      model.load_state_dict(state_dict)
  
file_path: espnet/test/test_e2e_asr_transformer.py
imports: import argparse
  import chainer
  import numpy
  import pytest
  import torch
  import espnet.nets.chainer_backend.e2e_asr_transformer
  import espnet.nets.pytorch_backend.e2e_asr_transformer
  from espnet.nets.pytorch_backend.nets_utils import rename_state_dict
  from espnet.nets.pytorch_backend.transformer import plot
  from espnet.nets.pytorch_backend.transformer.add_sos_eos import add_sos_eos
  from espnet.nets.pytorch_backend.transformer.mask import subsequent_mask, target_mask
label_desc: Use image node_id 9 for calling a global function with example usage: test_v0_3_transformer_input_compatibility() without return types