code: def init_model():
      return TransformerDecoder(
          vocab_size=10,
          encoder_output_size=40,
          attention_heads=4,
          linear_units=40,
          num_blocks=2,
          input_layer="embed",
      )
  
file_path: espnet/test/espnet2/layers/test_create_lora_adapter.py
imports: import sys
  import pytest
  import torch
  from packaging.version import parse
  from espnet2.asr.decoder.transformer_decoder import TransformerDecoder
  from espnet2.layers.create_lora_adapter import create_lora_adapter
label_desc: Use image node_id 1 for calling a global function with example usage: init_model() and returns: TransformerDecoder