class_docstr: Base class to calculate the loss during training.
  
  This implementation of :class:`torch.nn.Module` allows building
  the loss object from a configuration file.
docstr: Get the state of the ClassyLoss.
  
  The returned state is used for checkpointing. Note that most losses are
  stateless and do not need to save any state.
  
  Returns:
      A state dictionary containing the state of the loss.
code: def get_classy_state(self) -> Dict[str, Any]:
      """Get the state of the ClassyLoss.
  
      The returned state is used for checkpointing. Note that most losses are
      stateless and do not need to save any state.
  
      Returns:
          A state dictionary containing the state of the loss.
      """
      return self.state_dict()
  
file_path: ClassyVision/classy_vision/losses/classy_loss.py
imports: from typing import Any, Dict
  import torch.nn
label_desc: Use image node_id 4 for calling the ClassyLoss obj's underlying member method code with example usage: obj.get_classy_state() and returns: self