code: def _get_model_snapshot(
      context, model_snapshot, use_cuda, use_tensorboard
  ):
      if model_snapshot:
          print(
              f"Loading model snapshot and config from {model_snapshot}"
          )
          if use_cuda is None:
              raise Exception(
                  "if --model-snapshot is set --use-cuda/--no-cuda must be set"
              )
      else:
          print(f"No model snapshot provided, loading from config")
          config = context.obj.load_config()
          model_snapshot = config.save_snapshot_path
          use_cuda = config.use_cuda_if_available and getattr(
              config, "use_cuda_for_testing", True
          )
          use_tensorboard = config.use_tensorboard
          print(f"Configured model snapshot {model_snapshot}")
      return model_snapshot, use_cuda, use_tensorboard
  
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 11 for calling a global function with example usage: _get_model_snapshot(context, model_snapshot, use_cuda, use_tensorboard) and returns: model_snapshot,  use_cuda,  use_tensorboard