mirror of https://github.com/JDAI-CV/fast-reid.git
212 lines
7.1 KiB
Python
212 lines
7.1 KiB
Python
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
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import functools
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import logging
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import os
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import sys
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import time
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from collections import Counter
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from termcolor import colored
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from .file_io import PathManager
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class _ColorfulFormatter(logging.Formatter):
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def __init__(self, *args, **kwargs):
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self._root_name = kwargs.pop("root_name") + "."
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self._abbrev_name = kwargs.pop("abbrev_name", "")
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if len(self._abbrev_name):
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self._abbrev_name = self._abbrev_name + "."
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super(_ColorfulFormatter, self).__init__(*args, **kwargs)
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def formatMessage(self, record):
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record.name = record.name.replace(self._root_name, self._abbrev_name)
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log = super(_ColorfulFormatter, self).formatMessage(record)
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if record.levelno == logging.WARNING:
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prefix = colored("WARNING", "red", attrs=["blink"])
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elif record.levelno == logging.ERROR or record.levelno == logging.CRITICAL:
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prefix = colored("ERROR", "red", attrs=["blink", "underline"])
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else:
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return log
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return prefix + " " + log
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@functools.lru_cache() # so that calling setup_logger multiple times won't add many handlers
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def setup_logger(
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output=None, distributed_rank=0, *, color=True, name="fastreid", abbrev_name=None
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):
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"""
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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
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abbrev_name (str): an abbreviation of the module, to avoid long names in logs.
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Set to "" to not log the root module in logs.
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By default, will abbreviate "detectron2" to "d2" and leave other
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modules unchanged.
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"""
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logger = logging.getLogger(name)
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logger.setLevel(logging.DEBUG)
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logger.propagate = False
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if abbrev_name is None:
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abbrev_name = "d2" if name == "detectron2" else name
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plain_formatter = logging.Formatter(
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"[%(asctime)s] %(name)s %(levelname)s: %(message)s", datefmt="%m/%d %H:%M:%S"
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)
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# stdout logging: master only
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if distributed_rank == 0:
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ch = logging.StreamHandler(stream=sys.stdout)
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ch.setLevel(logging.DEBUG)
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if color:
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formatter = _ColorfulFormatter(
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colored("[%(asctime)s %(name)s]: ", "green") + "%(message)s",
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datefmt="%m/%d %H:%M:%S",
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root_name=name,
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abbrev_name=str(abbrev_name),
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)
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else:
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formatter = plain_formatter
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ch.setFormatter(formatter)
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logger.addHandler(ch)
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# file logging: 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 distributed_rank > 0:
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filename = filename + ".rank{}".format(distributed_rank)
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PathManager.mkdirs(os.path.dirname(filename))
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fh = logging.StreamHandler(_cached_log_stream(filename))
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fh.setLevel(logging.DEBUG)
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fh.setFormatter(plain_formatter)
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logger.addHandler(fh)
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return logger
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# cache the opened file object, so that different calls to `setup_logger`
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# with the same file name can safely write to the same file.
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@functools.lru_cache(maxsize=None)
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def _cached_log_stream(filename):
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return PathManager.open(filename, "a")
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"""
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Below are some other convenient logging methods.
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They are mainly adopted from
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https://github.com/abseil/abseil-py/blob/master/absl/logging/__init__.py
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"""
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def _find_caller():
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"""
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Returns:
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str: module name of the caller
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tuple: a hashable key to be used to identify different callers
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"""
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frame = sys._getframe(2)
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while frame:
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code = frame.f_code
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if os.path.join("utils", "logger.") not in code.co_filename:
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mod_name = frame.f_globals["__name__"]
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if mod_name == "__main__":
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mod_name = "detectron2"
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return mod_name, (code.co_filename, frame.f_lineno, code.co_name)
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frame = frame.f_back
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_LOG_COUNTER = Counter()
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_LOG_TIMER = {}
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def log_first_n(lvl, msg, n=1, *, name=None, key="caller"):
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"""
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Log only for the first n times.
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Args:
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lvl (int): the logging level
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msg (str):
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n (int):
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name (str): name of the logger to use. Will use the caller's module by default.
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key (str or tuple[str]): the string(s) can be one of "caller" or
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"message", which defines how to identify duplicated logs.
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For example, if called with `n=1, key="caller"`, this function
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will only log the first call from the same caller, regardless of
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the message content.
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If called with `n=1, key="message"`, this function will log the
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same content only once, even if they are called from different places.
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If called with `n=1, key=("caller", "message")`, this function
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will not log only if the same caller has logged the same message before.
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"""
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if isinstance(key, str):
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key = (key,)
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assert len(key) > 0
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caller_module, caller_key = _find_caller()
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hash_key = ()
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if "caller" in key:
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hash_key = hash_key + caller_key
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if "message" in key:
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hash_key = hash_key + (msg,)
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_LOG_COUNTER[hash_key] += 1
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if _LOG_COUNTER[hash_key] <= n:
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logging.getLogger(name or caller_module).log(lvl, msg)
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def log_every_n(lvl, msg, n=1, *, name=None):
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"""
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Log once per n times.
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Args:
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lvl (int): the logging level
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msg (str):
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n (int):
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name (str): name of the logger to use. Will use the caller's module by default.
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"""
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caller_module, key = _find_caller()
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_LOG_COUNTER[key] += 1
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if n == 1 or _LOG_COUNTER[key] % n == 1:
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logging.getLogger(name or caller_module).log(lvl, msg)
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def log_every_n_seconds(lvl, msg, n=1, *, name=None):
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"""
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Log no more than once per n seconds.
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Args:
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lvl (int): the logging level
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msg (str):
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n (int):
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name (str): name of the logger to use. Will use the caller's module by default.
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"""
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caller_module, key = _find_caller()
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last_logged = _LOG_TIMER.get(key, None)
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current_time = time.time()
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if last_logged is None or current_time - last_logged >= n:
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logging.getLogger(name or caller_module).log(lvl, msg)
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_LOG_TIMER[key] = current_time
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# def create_small_table(small_dict):
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# """
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# Create a small table using the keys of small_dict as headers. This is only
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# suitable for small dictionaries.
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# Args:
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# small_dict (dict): a result dictionary of only a few items.
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# Returns:
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# str: the table as a string.
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# """
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# keys, values = tuple(zip(*small_dict.items()))
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# table = tabulate(
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# [values],
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# headers=keys,
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# tablefmt="pipe",
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# floatfmt=".3f",
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# stralign="center",
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# numalign="center",
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# )
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# return table
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