class_docstr: Base class for all kinds of trainers, inherits from Workflow.
docstr: Get the statistics information of the training process.
  Default to return the `rank`, `current_epoch`, `current_iteration`, `total_epochs`, `total_iterations`.
  
  Args:
      vars: except for the default stats, other variables name in the `self.state` to return,
          will use the variable name as the key and the state content as the value.
          if the variable doesn't exist, default value is `None`.
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code: def get_stats(self, *vars):
      """
      Get the statistics information of the training process.
      Default to return the `rank`, `current_epoch`, `current_iteration`, `total_epochs`, `total_iterations`.
  
      Args:
          vars: except for the default stats, other variables name in the `self.state` to return,
              will use the variable name as the key and the state content as the value.
              if the variable doesn't exist, default value is `None`.
  
      """
      stats = {
          ESKeys.RANK: self.state.rank,
          ESKeys.CURRENT_EPOCH: self.state.epoch,
          ESKeys.CURRENT_ITERATION: self.state.iteration,
          ESKeys.TOTAL_EPOCHS: self.state.max_epochs,
          ESKeys.TOTAL_ITERATIONS: self.state.epoch_length,
      }
      for k in vars:
          stats[k] = getattr(self.state, k, None)
      return stats
  
imports: from __future__ import annotations
  from typing import TYPE_CHECKING, Any, Callable, Iterable, Sequence
  import torch
  from torch.optim.optimizer import Optimizer
  from torch.utils.data import DataLoader
  from monai.config import IgniteInfo
  from monai.engines.utils import IterationEvents, default_make_latent, default_metric_cmp_fn, default_prepare_batch
  from monai.engines.workflow import Workflow
  from monai.inferers import Inferer, SimpleInferer
  from monai.transforms import Transform
  from monai.utils import GanKeys, min_version, optional_import
  from monai.utils.enums import CommonKeys
  from monai.utils.enums import EngineStatsKeys
label_desc: Use image node_id 2 for calling the Trainer obj's underlying member method code with example usage: obj.get_stats() and returns: stats