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| # Copyright (c) Alibaba, Inc. and its affiliates. | |
| import importlib | |
| import logging | |
| from typing import Optional | |
| init_loggers = {} | |
| formatter = logging.Formatter( | |
| '%(asctime)s - %(name)s - %(levelname)s - %(message)s') | |
| def get_logger(log_file: Optional[str] = None, | |
| log_level: int = logging.INFO, | |
| file_mode: str = 'w'): | |
| """ Get logging logger | |
| Args: | |
| log_file: Log filename, if specified, file handler will be added to | |
| logger | |
| log_level: Logging level. | |
| file_mode: Specifies the mode to open the file, if filename is | |
| specified (if filemode is unspecified, it defaults to 'w'). | |
| """ | |
| logger_name = __name__.split('.')[0] | |
| logger = logging.getLogger(logger_name) | |
| logger.propagate = False | |
| if logger_name in init_loggers: | |
| add_file_handler_if_needed(logger, log_file, file_mode, log_level) | |
| return logger | |
| # handle duplicate logs to the console | |
| # Starting in 1.8.0, PyTorch DDP attaches a StreamHandler <stderr> (NOTSET) | |
| # to the root logger. As logger.propagate is True by default, this root | |
| # level handler causes logging messages from rank>0 processes to | |
| # unexpectedly show up on the console, creating much unwanted clutter. | |
| # To fix this issue, we set the root logger's StreamHandler, if any, to log | |
| # at the ERROR level. | |
| torch_dist = False | |
| is_worker0 = True | |
| if importlib.util.find_spec('torch') is not None: | |
| from modelscope.utils.torch_utils import is_dist, is_master | |
| torch_dist = is_dist() | |
| is_worker0 = is_master() | |
| if torch_dist: | |
| for handler in logger.root.handlers: | |
| if type(handler) is logging.StreamHandler: | |
| handler.setLevel(logging.ERROR) | |
| stream_handler = logging.StreamHandler() | |
| handlers = [stream_handler] | |
| if is_worker0 and log_file is not None: | |
| file_handler = logging.FileHandler(log_file, file_mode) | |
| handlers.append(file_handler) | |
| for handler in handlers: | |
| handler.setFormatter(formatter) | |
| handler.setLevel(log_level) | |
| logger.addHandler(handler) | |
| if is_worker0: | |
| logger.setLevel(log_level) | |
| else: | |
| logger.setLevel(logging.ERROR) | |
| init_loggers[logger_name] = True | |
| return logger | |
| def add_file_handler_if_needed(logger, log_file, file_mode, log_level): | |
| for handler in logger.handlers: | |
| if isinstance(handler, logging.FileHandler): | |
| return | |
| if importlib.util.find_spec('torch') is not None: | |
| from modelscope.utils.torch_utils import is_master | |
| is_worker0 = is_master() | |
| else: | |
| is_worker0 = True | |
| if is_worker0 and log_file is not None: | |
| file_handler = logging.FileHandler(log_file, file_mode) | |
| file_handler.setFormatter(formatter) | |
| file_handler.setLevel(log_level) | |
| logger.addHandler(file_handler) | |