class_docstr: Dummy logger for internal use.
  
  It is useful if we want to disable user's logger for a feature, but still ensure that user code can run
class_docstr_tok: ["Dummy","logger","for","internal","use",".","It","is","useful","if","we","want","to","disable","user","'s","logger","for","a","feature",",","but","still","ensure","that","user","code","can","run"]
code: def log_metrics(self, *args: Any, **kwargs: Any) -> None:
      pass
  
imports: import functools
  import operator
  from abc import ABC
  from collections import defaultdict
  from typing import Any, Callable, Dict, Mapping, Optional, Sequence
  import numpy
  from typing_extensions import override
  from lightning.fabric.loggers import Logger
  from lightning.fabric.loggers.logger import _DummyExperiment
  from lightning.fabric.loggers.logger import rank_zero_experiment
  from lightning.pytorch.callbacks.model_checkpoint import ModelCheckpoint
label_desc: Use image node_id 3 for calling the DummyLogger obj's underlying member method code with example usage: obj.log_metrics() without return types