本文整理汇总了Python中tensorflow.python.platform.tf_logging.INFO属性的典型用法代码示例。如果您正苦于以下问题：Python tf_logging.INFO属性的具体用法？Python tf_logging.INFO怎么用？Python tf_logging.INFO使用的例子？那么, 这里精选的属性代码示例或许可以为您提供帮助。您也可以进一步了解该属性所在类tensorflow.python.platform.tf_logging的用法示例。
在下文中一共展示了tf_logging.INFO属性的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: log
# 需要导入模块: from tensorflow.python.platform import tf_logging [as 别名]
# 或者: from tensorflow.python.platform.tf_logging import INFO [as 别名]
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) 示例2: info
# 需要导入模块: from tensorflow.python.platform import tf_logging [as 别名]
# 或者: from tensorflow.python.platform.tf_logging import INFO [as 别名]
def info(message, *args):
log(INFO, message, *args)