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# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.
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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 os
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import sys
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import logging
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import datetime
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import paddle.distributed as dist
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_logger = None
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def init_logger(name='root', log_file=None, log_level=logging.INFO):
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"""Initialize and get a logger by name.
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If the logger has not been initialized, this method will initialize the
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logger by adding one or two handlers, otherwise the initialized logger will
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be directly returned. During initialization, a StreamHandler will always be
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added. If `log_file` is specified a FileHandler will also be added.
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Args:
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name (str): Logger name.
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log_file (str | None): The log filename. If specified, a FileHandler
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will be added to the logger.
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log_level (int): The logger level. Note that only the process of
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rank 0 is affected, and other processes will set the level to
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"Error" thus be silent most of the time.
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Returns:
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logging.Logger: The expected logger.
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"""
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global _logger
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assert _logger is None, "logger should not be initialized twice or more."
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_logger = logging.getLogger(name)
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formatter = logging.Formatter(
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'[%(asctime)s] %(name)s %(levelname)s: %(message)s',
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datefmt="%Y/%m/%d %H:%M:%S")
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stream_handler = logging.StreamHandler(stream=sys.stdout)
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stream_handler.setFormatter(formatter)
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_logger.addHandler(stream_handler)
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if log_file is not None and dist.get_rank() == 0:
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log_file_folder = os.path.split(log_file)[0]
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os.makedirs(log_file_folder, exist_ok=True)
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file_handler = logging.FileHandler(log_file, 'a')
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file_handler.setFormatter(formatter)
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_logger.addHandler(file_handler)
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if dist.get_rank() == 0:
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_logger.setLevel(log_level)
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else:
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_logger.setLevel(logging.ERROR)
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def log_at_trainer0(log):
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"""
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logs will print multi-times when calling Fleet API.
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Only display single log and ignore the others.
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"""
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def wrapper(fmt, *args):
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if dist.get_rank() == 0:
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log(fmt, *args)
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return wrapper
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@log_at_trainer0
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def info(fmt, *args):
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_logger.info(fmt, *args)
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@log_at_trainer0
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def debug(fmt, *args):
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_logger.debug(fmt, *args)
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@log_at_trainer0
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def warning(fmt, *args):
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_logger.warning(fmt, *args)
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@log_at_trainer0
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def error(fmt, *args):
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_logger.error(fmt, *args)
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def scaler(name, value, step, writer):
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"""
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This function will draw a scalar curve generated by the visualdl.
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Usage: Install visualdl: pip3 install visualdl==2.0.0b4
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and then:
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visualdl --logdir ./scalar --host 0.0.0.0 --port 8830
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to preview loss corve in real time.
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"""
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if writer is None:
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return
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writer.add_scalar(tag=name, step=step, value=value)
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def advertise():
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"""
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Show the advertising message like the following:
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===========================================================
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== PaddleClas is powered by PaddlePaddle ! ==
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===========================================================
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== ==
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== For more info please go to the following website. ==
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== ==
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== https://github.com/PaddlePaddle/PaddleClas ==
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===========================================================
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"""
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copyright = "PaddleClas is powered by PaddlePaddle !"
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ad = "For more info please go to the following website."
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website = "https://github.com/PaddlePaddle/PaddleClas"
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AD_LEN = 6 + len(max([copyright, ad, website], key=len))
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info("\n{0}\n{1}\n{2}\n{3}\n{4}\n{5}\n{6}\n{7}\n".format(
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"=" * (AD_LEN + 4),
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"=={}==".format(copyright.center(AD_LEN)),
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"=" * (AD_LEN + 4),
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"=={}==".format(' ' * AD_LEN),
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"=={}==".format(ad.center(AD_LEN)),
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"=={}==".format(' ' * AD_LEN),
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"=={}==".format(website.center(AD_LEN)),
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"=" * (AD_LEN + 4), ))
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