code: def __init__(self):
      self._rollback_stack = []
  
      self.is_train = False
      self.is_log_activations = False
      self.is_log_parameters = False
      self.is_optimize = False
  
imports: from typing import Optional, Dict, List, Callable, Any
  import torch.optim
  import torch.optim
  import torch.utils.data
  import torch.utils.data
  from torch import nn
  import labml.utils.pytorch
  from labml import tracker, monit
  from labml.configs import option, meta_config
  from .device import DeviceConfigs
  from .metrics import StateModule
  from .training_loop import TrainingLoopConfigs
label_desc: Use image node_id 1 to create a new ModeState object  with example: obj = ModeState()