class_docstr: Base class to measure various metrics during training and testing phases.
  
  This can include meters like  Accuracy, Precision and Recall, etc.
class_docstr_tok: ["Base","class","to","measure","various","metrics","during","training","and","testing","phases",".","This","can","include","meters","like","Accuracy",",","Precision","and","Recall",",","etc","."]
docstr: Set the state of the ClassyMeter.
  
  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 meter from a checkpoint.
docstr_tok: ["Set","the","state","of","the","ClassyMeter",".","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","meter","from","a","checkpoint","."]
code: def set_classy_state(self, state: Dict[str, Any]) -> None:
      """Set the state of the ClassyMeter.
  
      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 meter from a checkpoint.
      """
      raise NotImplementedError
  
file_path: ClassyVision/classy_vision/meters/classy_meter.py
imports: from typing import Any, Dict, Tuple
  import torch
  from classy_vision.generic.util import log_class_usage
label_desc: Use image node_id 10 for calling the ClassyMeter obj's underlying member method code with example usage: obj.set_classy_state(state) without return types