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: Constructor for ClassyLoss.
code: def __init__(self):
      """
      Constructor for ClassyLoss.
      """
      super(ClassyLoss, self).__init__()
  
file_path: ClassyVision/classy_vision/losses/classy_loss.py
imports: from typing import Any, Dict
  import torch.nn
label_desc: Use image node_id 1 to create a new ClassyLoss object from inherited base classes: nn with example: obj = ClassyLoss()