code: def __init__(
      self,
      mode: ModeState,
      model_name,
      name: str,
      module: torch.nn.Module,
  ):
      self.mode = mode
      self.model_name = model_name
      self.name = name
      self.module = module
      module.register_forward_hook(self)
  
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 ForwardHook object  with example: obj = ForwardHook(mode, model_name, name, module)