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: Set the state of the ClassyLoss.
  
  Args:
      state_dict: The state dictionary. Must be the output of a call to
          :func:`get_classy_state`.
  
  This is used to load the state of the loss from a checkpoint. Note
  that most losses are stateless and do not need to load any state.
code: def set_classy_state(self, state: Dict[str, Any]) -> None:
      """Set the state of the ClassyLoss.
  
      Args:
          state_dict: The state dictionary. Must be the output of a call to
              :func:`get_classy_state`.
  
      This is used to load the state of the loss from a checkpoint. Note
      that most losses are stateless and do not need to load any state.
      """
      return self.load_state_dict(state)
  
file_path: ClassyVision/classy_vision/losses/classy_loss.py
imports: from typing import Any, Dict
  import torch.nn
label_desc: Use image node_id 5 for calling the ClassyLoss obj's underlying member method code with example usage: obj.set_classy_state(state) and returns: self