docstr: Returns all qualified module names for which the user requested
  explicit logging settings.
  
  .. warning:
  
      This function used to return all loggers, regardless of whether
      or not the user specified them or not; it now only returns logs
      which were explicitly mentioned by the user (and torch, which
      always is implicitly requested when we initialize our logging
      subsystem.)
docstr_tok: ["Returns","all","qualified","module","names","for","which","the","user","requested","explicit","logging","settings",".","..","warning",":","This","function","used","to","return","all","loggers",",","regardless","of","whether","or","not","the","user","specified","them","or","not",";","it","now","only","returns","logs","which","were","explicitly","mentioned","by","the","user","(","and","torch",",","which","always","is","implicitly","requested","when","we","initialize","our","logging","subsystem",".",")"]
code: def get_log_level_pairs(self):
      """Returns all qualified module names for which the user requested
      explicit logging settings.
  
      .. warning:
  
          This function used to return all loggers, regardless of whether
          or not the user specified them or not; it now only returns logs
          which were explicitly mentioned by the user (and torch, which
          always is implicitly requested when we initialize our logging
          subsystem.)
      """
      return self.log_qname_to_level.items()
  
imports: import functools
  import itertools
  import logging
  import os
  import re
  from dataclasses import dataclass, field
  from importlib import __import__
  from typing import Dict, List, Optional, Set, Union
  from weakref import WeakSet
  import torch._guards
  import torch.distributed
label_desc: Use image node_id 4 for calling the LogState obj's underlying member method code with example usage: obj.get_log_level_pairs() and returns: self