127 lines
4.3 KiB
Python
127 lines
4.3 KiB
Python
"""
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Copyright (C) 2018-2020 Intel Corporation
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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"""
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import importlib.util
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import logging as log
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import os
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import re
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import sys
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# WA for abseil bug that affects logging while importing TF starting 1.14 version
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# Link to original issue: https://github.com/abseil/abseil-py/issues/99
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if importlib.util.find_spec('absl') is not None:
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import absl.logging
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log.root.removeHandler(absl.logging._absl_handler)
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handler_num = 0
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class LvlFormatter(log.Formatter):
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format_dict = {
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log.DEBUG: "[ %(asctime)s ] [ %(levelname)s ] [ %(module)s:%(lineno)d ] %(msg)s",
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log.INFO: "[ %(levelname)s ] %(msg)s",
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log.WARNING: "[ WARNING ] %(msg)s",
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log.ERROR: "[ %(levelname)s ] %(msg)s",
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log.CRITICAL: "[ %(levelname)s ] %(msg)s",
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'framework_error': "[ FRAMEWORK ERROR ] %(msg)s",
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'analysis_info': "[ ANALYSIS INFO ] %(msg)s"
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}
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def __init__(self, lvl, fmt=None):
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log.Formatter.__init__(self, fmt)
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self.lvl = lvl
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def format(self, record: log.LogRecord):
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if self.lvl == 'DEBUG':
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self._style._fmt = self.format_dict[log.DEBUG]
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else:
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self._style._fmt = self.format_dict[record.levelno]
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if 'is_warning' in record.__dict__.keys():
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self._style._fmt = self.format_dict[log.WARNING]
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if 'framework_error' in record.__dict__.keys():
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self._style._fmt = self.format_dict['framework_error']
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if 'analysis_info' in record.__dict__.keys():
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self._style._fmt = self.format_dict['analysis_info']
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return log.Formatter.format(self, record)
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class TagFilter(log.Filter):
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def __init__(self, regex: str):
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self.regex = regex
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def filter(self, record: log.LogRecord):
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if record.__dict__['funcName'] == 'load_grammar': # for nx not to log into our logs
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return False
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if self.regex:
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if 'tag' in record.__dict__.keys():
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tag = record.__dict__['tag']
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return re.findall(self.regex, tag)
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else:
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return False
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return True # if regex wasn't set print all logs
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def init_logger(lvl: str, silent: bool):
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global handler_num
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log_exp = os.environ.get('MO_LOG_PATTERN')
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if silent:
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lvl = 'ERROR'
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fmt = LvlFormatter(lvl=lvl)
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handler = log.StreamHandler()
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handler.setFormatter(fmt)
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logger = log.getLogger()
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logger.setLevel(lvl)
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logger.addFilter(TagFilter(regex=log_exp))
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if handler_num == 0:
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logger.addHandler(handler)
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handler_num += 1
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def progress_bar(function: callable):
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"""
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Decorator for model conversion pipeline progress display
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Works in combination with function: mo.utils.class_registration.apply_transform
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"""
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def wrapper(*args, **kwargs):
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for arg in ['graph', 'curr_transform_num', 'num_transforms']:
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msg = 'Progress bar decorator is enabled for Model Optimizer transformation applying cycle only. ' \
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'Argument `{}` {}'
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assert arg in kwargs, msg.format(arg, 'is missing')
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assert kwargs[arg] is not None, msg.format(arg, 'should not be None')
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if kwargs['graph'].graph['cmd_params'].progress:
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bar_len = 20
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total_replacers_count = kwargs['num_transforms']
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def progress(i):
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return int((i + 1) / total_replacers_count * bar_len)
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def percent(i):
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return (i + 1) / total_replacers_count * 100
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end = '' if not kwargs['graph'].graph['cmd_params'].stream_output else '\n'
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curr_i = kwargs['curr_transform_num']
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print('\rProgress: [{:{}}]{:>7.2f}% done'.format('.' * progress(curr_i), bar_len, percent(curr_i)), end=end)
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sys.stdout.flush()
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function(*args, **kwargs)
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return wrapper
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