code: def __init__(
      self,
      jiant_task_container: JiantTaskContainer,
      jiant_model: JiantModel,
      optimizer_scheduler,
      device,
      rparams: RunnerParameters,
      log_writer,
  ):
      self.jiant_task_container = jiant_task_container
      self.jiant_model = jiant_model
      self.optimizer_scheduler = optimizer_scheduler
      self.device = device
      self.rparams = rparams
      self.log_writer = log_writer
  
      self.model = self.jiant_model
  
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 1 to create a new JiantRunner object  with example: obj = JiantRunner(jiant_task_container, jiant_model, optimizer_scheduler, device, rparams, log_writer)