code: def train(self):
      raise NotImplementedError
  
imports: import inspect
  import logging
  import re
  from abc import abstractmethod
  from collections import defaultdict
  from typing import Dict, List, Any, Union, Tuple
  import numpy
  import torch
  import torch.nn
  import torch.optim
  from ignite.contrib.handlers.tensorboard_logger import TensorboardLogger, OutputHandler, OptimizerParamsHandler, WeightsScalarHandler, WeightsHistHandler, GradsScalarHandler
  from ignite.contrib.handlers.tqdm_logger import ProgressBar
  from ignite.engine import Events
  from ignite.engine.engine import Engine
  from ignite.metrics import Loss, Metric, RunningAverage, MetricsLambda, Accuracy
  from ignite.utils import convert_tensor
  from transfer_nlp.loaders.loaders import DatasetSplits
  from transfer_nlp.plugins.config import register_plugin
  from transfer_nlp.plugins.regularizers import RegularizerABC
  from transfer_nlp.plugins.trainer_abc import TrainerABC
label_desc: Use image node_id 8 for calling the BaseIgniteTrainer obj's underlying member method code with example usage: obj.train() without return types