code: def test_serve_inference(self):
      request = "'{\"" 'instances"' ": [[1.0], [2.0], [3.0]]}'"
      result = subprocess.run(
          f'curl -s -X POST -H "Content-Type: application/json;" http://localhost:8080/predictions/half_plus_two -d {request}',
          shell=True,
          capture_output=True,
          check=True,
      )
      expected_result_str = '{"predictions": [[2.5], [3.0], [3.5]]}'
      expected_result = json.loads(expected_result_str)
      assert json.loads(result.stdout) == 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 torchxla_trace_once"
              in model_log
          )
          assert (
              "done compiler function torchxla_trace_once" in model_log
          )
  
file_path: serve/test/pytest/test_torch_xla.py
imports: import glob
  import json
  import os
  import subprocess
  import time
  from pathlib import Path
  import pytest
  from pkg_resources import packaging
label_desc: Use image node_id 6 for calling the TestTorchXLA obj's underlying member method code with example usage: obj.test_serve_inference() without return types