chore: import upstream snapshot with attribution
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# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import logging
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import os
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import sys
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__all__ = []
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def setup_logger(output=None, name="hapi", log_level=logging.INFO):
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"""
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Initialize logger of hapi and set its verbosity level to "INFO".
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Args:
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output (str): a file name or a directory to save log. If None, will not save log file.
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If ends with ".txt" or ".log", assumed to be a file name.
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Otherwise, logs will be saved to `output/log.txt`.
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name (str): the root module name of this logger. Default: 'hapi'.
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log_level (enum): log level. eg.'INFO', 'DEBUG', 'ERROR'. Default: logging.INFO.
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Returns:
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logging.Logger: a logger
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"""
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logger = logging.getLogger(name)
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logger.propagate = False
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logger.setLevel(log_level)
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format_str = '%(asctime)s - %(name)s - %(levelname)s - %(message)s'
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# stdout logging: only local rank==0
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local_rank = int(os.getenv("PADDLE_TRAINER_ID", "0"))
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if local_rank == 0 and len(logger.handlers) == 0:
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ch = logging.StreamHandler(stream=sys.stdout)
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ch.setLevel(log_level)
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ch.setFormatter(logging.Formatter(format_str))
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logger.addHandler(ch)
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# file logging if output is not None: all workers
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if output is not None:
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if output.endswith(".txt") or output.endswith(".log"):
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filename = output
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else:
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filename = os.path.join(output, "log.txt")
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if local_rank > 0:
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filename = filename + f".rank{local_rank}"
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if not os.path.exists(os.path.dirname(filename)):
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os.makedirs(os.path.dirname(filename))
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fh = logging.StreamHandler(filename)
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fh.setLevel(log_level)
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fh.setFormatter(logging.Formatter(format_str))
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logger.addHandler(fh)
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return logger
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