code: def test(
      context,
      model_snapshot,
      test_path,
      use_cuda,
      use_tensorboard,
      field_names,
  ):
      """Test a trained model snapshot.
  
      If model-snapshot is provided, the models and configuration will then be
      loaded from the snapshot rather than any passed config file.
      Otherwise, a config file will be loaded.
      """
      model_snapshot, use_cuda, use_tensorboard = _get_model_snapshot(
          context, model_snapshot, use_cuda, use_tensorboard
      )
      print("\n=== Starting testing...")
      metric_channels = []
      if use_tensorboard:
          metric_channels.append(TensorBoardChannel())
      try:
          test_model_from_snapshot_path(
              model_snapshot,
              use_cuda,
              test_path,
              metric_channels,
              field_names=field_names,
          )
      finally:
          for mc in metric_channels:
              mc.close()
  
imports: import json
  import pprint
  import sys
  import tempfile
  from importlib import import_module
  from pydoc import locate
  from typing import Dict, List, Optional, Union
  import click
  import torch
  from pytext import create_predictor
  from pytext.builtin_task import add_include
  from pytext.common.utils import eprint
  from pytext.config import ExportConfig, LATEST_VERSION, PyTextConfig
  from pytext.config.component import register_tasks
  from pytext.config.config_adapter import upgrade_to_latest
  from pytext.config.serialize import config_from_json, config_to_json, parse_config, pytext_config_from_json
  from pytext.config.utils import find_param, replace_param
  from pytext.data.data_handler import CommonMetadata
  from pytext.metric_reporters.channel import Channel, TensorBoardChannel
  from pytext.PreprocessingMap.ttypes import ModelType
  from pytext.task import load
  from pytext.utils.documentation import find_config_class, get_subclasses, pretty_print_config_class, replace_components, ROOT_CONFIG
  from pytext.utils.file_io import PathManager
  from pytext.workflow import export_saved_model_to_caffe2, export_saved_model_to_torchscript, get_logits, prepare_task_metadata, save_pytext_snapshot, test_model_from_snapshot_path, train_model
  from torch.multiprocessing.spawn import spawn
label_desc: Use image node_id 10 for calling a global function with example usage: test(context, model_snapshot, test_path, use_cuda, use_tensorboard, field_names) without return types