code: def test_serve_inference(self):
      request_data = {"instances": [[1.0], [2.0], [3.0]]}
      request_json = json.dumps(request_data)
  
      for model_name in [f"{MODEL_NAME}_str", f"{MODEL_NAME}_dict"]:
          result = subprocess.run(
              f"curl -s -X POST -H \"Content-Type: application/json;\" http://localhost:8080/predictions/{model_name} -d '{request_json}'",
              shell=True,
              capture_output=True,
              check=True,
          )
  
          string_result = result.stdout.decode("utf-8")
          float_result = float(string_result)
          expected_result = 3.5
  
          assert float_result == expected_result
  
      model_log_path = glob.glob("logs/model_log.log")[0]
      with open(model_log_path, "rt") as model_log_file:
          model_log = model_log_file.read()
          assert "Compiled model with backend inductor\n" in model_log
          assert (
              "Compiled model with backend inductor, mode reduce-overhead"
              in model_log
          )
  
file_path: serve/test/pytest/test_torch_compile.py
imports: import glob
  import json
  import os
  import platform
  import subprocess
  import time
  from pathlib import Path
  import pytest
  import torch
  from pkg_resources import packaging
label_desc: Use image node_id 6 for calling the TestTorchCompile obj's underlying member method code with example usage: obj.test_serve_inference() without return types