code: def test_optimization_levels_gpu(
      self,
      test_name: str,
      model_arch: str,
      use_cache: bool,
      use_io_binding: bool,
      optimization_level: str,
  ):
      self._test_optimization_levels(
          test_name=test_name,
          model_arch=model_arch,
          use_cache=use_cache,
          optimization_level=optimization_level,
          provider="CUDAExecutionProvider",
          use_io_binding=use_io_binding,
      )
  
imports: import gc
  import os
  import shutil
  import tempfile
  import unittest
  from pathlib import Path
  from typing import Dict, Optional
  import numpy
  import onnx
  import pytest
  import torch
  from parameterized import parameterized
  from transformers import AutoTokenizer
  from transformers.onnx.utils import get_preprocessor
  from transformers.testing_utils import require_torch_gpu
  from utils_onnxruntime_tests import MODEL_NAMES
  from optimum.exporters import TasksManager
  from optimum.exporters.onnx import MODEL_TYPES_REQUIRING_POSITION_IDS
  from optimum.onnxruntime import AutoOptimizationConfig, ORTConfig, ORTModelForImageClassification, ORTModelForSequenceClassification, ORTOptimizer
  from optimum.onnxruntime.configuration import OptimizationConfig
  from optimum.onnxruntime.modeling_decoder import ORTModelForCausalLM
  from optimum.onnxruntime.modeling_seq2seq import ORTModelForSeq2SeqLM, ORTModelForSpeechSeq2Seq
  from optimum.utils.testing_utils import grid_parameters
label_desc: Use image node_id 4 for calling the ORTOptimizerForSpeechSeq2SeqIntegrationTest obj's underlying member method code with example usage: obj.test_optimization_levels_gpu(test_name, model_arch, use_cache, use_io_binding, optimization_level) without return types