code: def get_root_logger(
      log_file=None, log_level=logging.INFO, name="main"
  ):
      """Get root logger and add a keyword filter to it.
      The logger will be initialized if it has not been initialized. By default a
      StreamHandler will be added. If `log_file` is specified, a FileHandler will
      also be added. The name of the root logger is the top-level package name,
      e.g., "mmdet3d".
      Args:
          log_file (str, optional): File path of log. Defaults to None.
          log_level (int, optional): The level of logger.
              Defaults to logging.INFO.
          name (str, optional): The name of the root logger, also used as a
              filter keyword. Defaults to 'mmdet3d'.
      Returns:
          :obj:`logging.Logger`: The obtained logger
      """
      logger = get_logger(
          name=name, log_file=log_file, log_level=log_level
      )
      # add a logging filter
      logging_filter = logging.Filter(name)
      logging_filter.filter = lambda record: record.find(name) != -1
  
      return logger
  
imports: import logging
  import torch.distributed
label_desc: Use image node_id 1 for calling a global function with example usage: get_root_logger(log_file, log_level, name) and returns: logger