code: def test_fp16_inference(
      self,
      test_name: str,
      model_type: str,
      use_to_operator: bool,
      batch_size: int,
  ):
      model_id = MODELS_DICT[model_type]
      self._test_fp16_inference(
          model_id,
          model_type=model_type,
          use_to_operator=use_to_operator,
          automodel_class=AutoModelForCausalLM,
          batch_size=batch_size,
      )
  
imports: import gc
  import unittest
  import pytest
  import torch
  from parameterized import parameterized
  from testing_utils import MODELS_DICT, BetterTransformersTestMixin
  from transformers import AutoModelForCausalLM, AutoTokenizer
  from optimum.bettertransformer import BetterTransformer
  from optimum.utils import BloomDummyPastKeyValuesGenerator, DummyPastKeyValuesGenerator, NormalizedConfigManager
  from optimum.utils.testing_utils import grid_parameters, require_accelerate, require_torch_gpu
label_desc: Use image node_id 4 for calling the BetterTransformersDecoderTest obj's underlying member method code with example usage: obj.test_fp16_inference(test_name, model_type, use_to_operator, batch_size) without return types