class_docstr: Loss wrapped to monitor the average loss throughout training. 
docstr: Resets the loss. 
docstr_tok: ["Resets","the","loss","."]
code: def reset(self):
      """Resets the loss."""
      self.total = 0
      self.count = 0
  
imports: import torch
  import numpy
  from enum import Enum
  from abc import ABC, abstractmethod
  from typing import Dict, Union, Callable
label_desc: Use image node_id 4 for calling the LossContainer obj's underlying member method code with example usage: obj.reset() without return types