code: def run_test(self, task_name_list, verbose=True):
      evaluate_dict = {}
      test_dataloader_dict = self.get_test_dataloader_dict()
      for task_name in task_name_list:
          task = self.jiant_task_container.task_dict[task_name]
          evaluate_dict[task_name] = run_test(
              test_dataloader=test_dataloader_dict[task_name],
              jiant_model=self.jiant_model,
              task=task,
              device=self.device,
              local_rank=self.rparams.local_rank,
              verbose=verbose,
          )
      return evaluate_dict
  
imports: from typing import Dict
  from dataclasses import dataclass
  import torch
  import jiant.tasks.evaluate
  import jiant.utils.torch_utils
  from jiant.proj.main.components.container_setup import JiantTaskContainer
  from jiant.proj.main.modeling.primary import JiantModel, wrap_jiant_forward
  from jiant.shared.constants import PHASE
  from jiant.shared.runner import complex_backpropagate, get_train_dataloader_from_cache, get_eval_dataloader_from_cache
  from jiant.utils.display import maybe_tqdm
  from jiant.utils.python.datastructures import InfiniteYield, ExtendedDataClassMixin
label_desc: Use image node_id 7 for calling the JiantRunner obj's underlying member method code with example usage: obj.run_test(task_name_list, verbose) and returns: evaluate_dict