code: def new_line():
      r"""
      Prints a new line.
  
      Equivalent to ``logger.log``, but handles distributed training where only the rank=0
      process is tracking data.
      """
      _internal().new_line()
  
imports: from typing import Dict, overload, Optional
  from labml.internal.tracker import tracker_singleton
label_desc: Use image node_id 20 for calling a global function with example usage: new_line() without return types