code: def test_model(
      test_config: TestConfig,
      metric_channels: Optional[List[Channel]],
      test_out_path: str,
  ) -> Any:
      return test_model_from_snapshot_path(
          test_config.load_snapshot_path,
          test_config.use_cuda_if_available,
          test_config.test_path,
          metric_channels,
          test_out_path,
          test_config.field_names,
      )
  
imports: import gzip
  import json
  import os
  import sys
  import traceback
  from typing import Any, Dict, get_type_hints, IO, Iterator, List, Optional, Tuple, Union
  import torch
  from pytext.common.constants import Stage
  from pytext.config import ExportConfig, PyTextConfig, TestConfig
  from pytext.config.component import ComponentType, create_component, create_exporter
  from pytext.data.data import Batcher
  from pytext.data.data_handler import CommonMetadata
  from pytext.metric_reporters.channel import Channel
  from pytext.task import create_task, get_latest_checkpoint_path, load, NewTask, save, Task_Deprecated
  from pytext.task.disjoint_multitask import NewDisjointMultitask
  from pytext.trainers import TrainingState
  from pytext.utils import cuda, distributed, precision, round_seq, set_random_seeds, timing
  from pytext.utils.file_io import PathManager
label_desc: Use image node_id 11 for calling a global function with example usage: test_model(test_config, metric_channels, test_out_path) and returns: test_model_from_snapshot_path