Python tensorflow.python.platform.tf_logging.DEBUG Examples
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code examples of tensorflow.python.platform.tf_logging.DEBUG().
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Example #1
Source File: tensorboard_logging.py From lambda-packs with MIT License | 5 votes |
def log(level, message, *args): """Conditionally logs `message % args` at the level `level`. Note that tensorboard_logging verbosity and logging verbosity are separate; the message will always be passed through to the logging module regardless of whether it passes the tensorboard_logging verbosity check. Args: level: The verbosity level to use. Must be one of tensorboard_logging.{DEBUG, INFO, WARN, ERROR, FATAL}. message: The message template to use. *args: Arguments to interpolate to the message template, if any. Raises: ValueError: If `level` is not a valid logging level. RuntimeError: If the `SummaryWriter` to use has not been set. """ if _summary_writer is _sentinel_summary_writer: raise RuntimeError('Must call set_summary_writer before doing any ' 'logging from tensorboard_logging') _check_verbosity(level) proto_level = _LEVEL_PROTO_MAP[level] if proto_level >= _LEVEL_PROTO_MAP[_verbosity]: log_message = event_pb2.LogMessage(level=proto_level, message=message % args) event = event_pb2.Event(wall_time=time.time(), log_message=log_message) if _summary_writer: _summary_writer.add_event(event) logging.log(_PLATFORM_LOGGING_LEVEL_MAP[level], message, *args)
Example #2
Source File: tensorboard_logging.py From lambda-packs with MIT License | 5 votes |
def debug(message, *args): log(DEBUG, message, *args)
Example #3
Source File: tensorboard_logging.py From auto-alt-text-lambda-api with MIT License | 5 votes |
def log(level, message, *args): """Conditionally logs `message % args` at the level `level`. Note that tensorboard_logging verbosity and logging verbosity are separate; the message will always be passed through to the logging module regardless of whether it passes the tensorboard_logging verbosity check. Args: level: The verbosity level to use. Must be one of tensorboard_logging.{DEBUG, INFO, WARN, ERROR, FATAL}. message: The message template to use. *args: Arguments to interpolate to the message template, if any. Raises: ValueError: If `level` is not a valid logging level. RuntimeError: If the `SummaryWriter` to use has not been set. """ if _summary_writer is _sentinel_summary_writer: raise RuntimeError('Must call set_summary_writer before doing any ' 'logging from tensorboard_logging') _check_verbosity(level) proto_level = _LEVEL_PROTO_MAP[level] if proto_level >= _LEVEL_PROTO_MAP[_verbosity]: log_message = event_pb2.LogMessage(level=proto_level, message=message % args) event = event_pb2.Event(wall_time=time.time(), log_message=log_message) if _summary_writer: _summary_writer.add_event(event) logging.log(_PLATFORM_LOGGING_LEVEL_MAP[level], message, *args)
Example #4
Source File: tensorboard_logging.py From auto-alt-text-lambda-api with MIT License | 5 votes |
def debug(message, *args): log(DEBUG, message, *args)
Example #5
Source File: tensorboard_logging.py From deep_image_model with Apache License 2.0 | 5 votes |
def log(level, message, *args): """Conditionally logs `message % args` at the level `level`. Note that tensorboard_logging verbosity and logging verbosity are separate; the message will always be passed through to the logging module regardless of whether it passes the tensorboard_logging verbosity check. Args: level: The verbosity level to use. Must be one of tensorboard_logging.{DEBUG, INFO, WARN, ERROR, FATAL}. message: The message template to use. *args: Arguments to interpolate to the message template, if any. Raises: ValueError: If `level` is not a valid logging level. RuntimeError: If the `SummaryWriter` to use has not been set. """ if _summary_writer is _sentinel_summary_writer: raise RuntimeError('Must call set_summary_writer before doing any ' 'logging from tensorboard_logging') _check_verbosity(level) proto_level = _LEVEL_PROTO_MAP[level] if proto_level >= _LEVEL_PROTO_MAP[_verbosity]: log_message = event_pb2.LogMessage(level=proto_level, message=message % args) event = event_pb2.Event(wall_time=time.time(), log_message=log_message) if _summary_writer: _summary_writer.add_event(event) logging.log(_PLATFORM_LOGGING_LEVEL_MAP[level], message, *args)
Example #6
Source File: tensorboard_logging.py From deep_image_model with Apache License 2.0 | 5 votes |
def debug(message, *args): log(DEBUG, message, *args)
Example #7
Source File: tensorboard_logging.py From Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda with MIT License | 5 votes |
def log(level, message, *args): """Conditionally logs `message % args` at the level `level`. Note that tensorboard_logging verbosity and logging verbosity are separate; the message will always be passed through to the logging module regardless of whether it passes the tensorboard_logging verbosity check. Args: level: The verbosity level to use. Must be one of tensorboard_logging.{DEBUG, INFO, WARN, ERROR, FATAL}. message: The message template to use. *args: Arguments to interpolate to the message template, if any. Raises: ValueError: If `level` is not a valid logging level. RuntimeError: If the `SummaryWriter` to use has not been set. """ if _summary_writer is _sentinel_summary_writer: raise RuntimeError('Must call set_summary_writer before doing any ' 'logging from tensorboard_logging') _check_verbosity(level) proto_level = _LEVEL_PROTO_MAP[level] if proto_level >= _LEVEL_PROTO_MAP[_verbosity]: log_message = event_pb2.LogMessage(level=proto_level, message=message % args) event = event_pb2.Event(wall_time=time.time(), log_message=log_message) if _summary_writer: _summary_writer.add_event(event) logging.log(_PLATFORM_LOGGING_LEVEL_MAP[level], message, *args)
Example #8
Source File: tensorboard_logging.py From Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda with MIT License | 5 votes |
def debug(message, *args): log(DEBUG, message, *args)
Example #9
Source File: tensorboard_logging.py From keras-lambda with MIT License | 5 votes |
def log(level, message, *args): """Conditionally logs `message % args` at the level `level`. Note that tensorboard_logging verbosity and logging verbosity are separate; the message will always be passed through to the logging module regardless of whether it passes the tensorboard_logging verbosity check. Args: level: The verbosity level to use. Must be one of tensorboard_logging.{DEBUG, INFO, WARN, ERROR, FATAL}. message: The message template to use. *args: Arguments to interpolate to the message template, if any. Raises: ValueError: If `level` is not a valid logging level. RuntimeError: If the `SummaryWriter` to use has not been set. """ if _summary_writer is _sentinel_summary_writer: raise RuntimeError('Must call set_summary_writer before doing any ' 'logging from tensorboard_logging') _check_verbosity(level) proto_level = _LEVEL_PROTO_MAP[level] if proto_level >= _LEVEL_PROTO_MAP[_verbosity]: log_message = event_pb2.LogMessage(level=proto_level, message=message % args) event = event_pb2.Event(wall_time=time.time(), log_message=log_message) if _summary_writer: _summary_writer.add_event(event) logging.log(_PLATFORM_LOGGING_LEVEL_MAP[level], message, *args)
Example #10
Source File: tensorboard_logging.py From keras-lambda with MIT License | 5 votes |
def debug(message, *args): log(DEBUG, message, *args)