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Python logging.getLogger方法代码示例

本文整理汇总了Python中absl.logging.getLogger方法的典型用法代码示例。如果您正苦于以下问题:Python logging.getLogger方法的具体用法?Python logging.getLogger怎么用?Python logging.getLogger使用的例子?那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在absl.logging的用法示例。


在下文中一共展示了logging.getLogger方法的5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: _fix_werkzeug_logging

# 需要导入模块: from absl import logging [as 别名]
# 或者: from absl.logging import getLogger [as 别名]
def _fix_werkzeug_logging(self):
        """Fix werkzeug logging setup so it inherits TensorBoard's log level.

        This addresses a change in werkzeug 0.15.0+ [1] that causes it set its own
        log level to INFO regardless of the root logger configuration. We instead
        want werkzeug to inherit TensorBoard's root logger log level (set via absl
        to WARNING by default).

        [1]: https://github.com/pallets/werkzeug/commit/4cf77d25858ff46ac7e9d64ade054bf05b41ce12
        """
        # Log once at DEBUG to force werkzeug to initialize its singleton logger,
        # which sets the logger level to INFO it if is unset, and then access that
        # object via logging.getLogger('werkzeug') to durably revert the level to
        # unset (and thus make messages logged to it inherit the root logger level).
        self.log(
            "debug", "Fixing werkzeug logger to inherit TensorBoard log level"
        )
        logging.getLogger("werkzeug").setLevel(logging.NOTSET) 
开发者ID:tensorflow,项目名称:tensorboard,代码行数:20,代码来源:program.py

示例2: create_logger

# 需要导入模块: from absl import logging [as 别名]
# 或者: from absl.logging import getLogger [as 别名]
def create_logger(self, log_path=None):
        if log_path is None:
            return None
        check_and_create_dir(log_path)
        handler = logging.handlers.RotatingFileHandler(log_path, mode="a", maxBytes=100000000, backupCount=200)
        logging.root.removeHandler(absl.logging._absl_handler) # this removes duplicated logging
        absl.logging._warn_preinit_stderr = False # this removes duplicated logging
        formatter = RequestFormatter("[%(asctime)s] %(levelname)s: %(message)s")
        handler.setFormatter(formatter)
        logger = logging.getLogger(log_path)
        logger.setLevel(logging.INFO)
        for hdlr in logger.handlers[:]:
            logger.removeHandler(hdlr) # remove old handlers
        logger.addHandler(handler)
        self.logger = logger 
开发者ID:CMU-CREATE-Lab,项目名称:deep-smoke-machine,代码行数:17,代码来源:base_learner.py

示例3: get_v1_distribution_strategy

# 需要导入模块: from absl import logging [as 别名]
# 或者: from absl.logging import getLogger [as 别名]
def get_v1_distribution_strategy(params):
  """Returns the distribution strategy to use."""
  if params["use_tpu"]:
    # Some of the networking libraries are quite chatty.
    for name in ["googleapiclient.discovery", "googleapiclient.discovery_cache",
                 "oauth2client.transport"]:
      logging.getLogger(name).setLevel(logging.ERROR)

    tpu_cluster_resolver = tf.distribute.cluster_resolver.TPUClusterResolver(
        tpu=params["tpu"],
        zone=params["tpu_zone"],
        project=params["tpu_gcp_project"],
        coordinator_name="coordinator"
    )

    logging.info("Issuing reset command to TPU to ensure a clean state.")
    tf.Session.reset(tpu_cluster_resolver.get_master())

    # Estimator looks at the master it connects to for MonitoredTrainingSession
    # by reading the `TF_CONFIG` environment variable, and the coordinator
    # is used by StreamingFilesDataset.
    tf_config_env = {
        "session_master": tpu_cluster_resolver.get_master(),
        "eval_session_master": tpu_cluster_resolver.get_master(),
        "coordinator": tpu_cluster_resolver.cluster_spec()
                       .as_dict()["coordinator"]
    }
    os.environ["TF_CONFIG"] = json.dumps(tf_config_env)

    distribution = tf.distribute.experimental.TPUStrategy(
        tpu_cluster_resolver, steps_per_run=100)

  else:
    distribution = distribution_utils.get_distribution_strategy(
        num_gpus=params["num_gpus"])

  return distribution 
开发者ID:IntelAI,项目名称:models,代码行数:39,代码来源:ncf_common.py

示例4: get_logger

# 需要导入模块: from absl import logging [as 别名]
# 或者: from absl.logging import getLogger [as 别名]
def get_logger(name, level=logging.INFO, with_tqdm=True):
    if with_tqdm:
        handler = TQDMHandler()
    else:
        handler = logging.StreamHandler(stream=sys.stderr)
    formatter = logging.Formatter(
        fmt="%(asctime)s: %(module)s.%(funcName)s +%(lineno)s: %(levelname)-8s %(message)s",
        datefmt="%H:%M:%S"
    )
    handler.setFormatter(formatter)

    logger = logging.getLogger(name)
    logger.setLevel(level)
    logger.addHandler(handler)
    return logger 
开发者ID:undeadpixel,项目名称:reinvent-randomized,代码行数:17,代码来源:log.py

示例5: _initialize

# 需要导入模块: from absl import logging [as 别名]
# 或者: from absl.logging import getLogger [as 别名]
def _initialize():
  """Initializes loggers and handlers."""
  global _absl_logger, _absl_handler

  if _absl_logger:
    return

  original_logger_class = logging.getLoggerClass()
  logging.setLoggerClass(ABSLLogger)
  _absl_logger = logging.getLogger('absl')
  logging.setLoggerClass(original_logger_class)

  python_logging_formatter = PythonFormatter()
  _absl_handler = ABSLHandler(python_logging_formatter) 
开发者ID:abseil,项目名称:abseil-py,代码行数:16,代码来源:__init__.py


注:本文中的absl.logging.getLogger方法示例由纯净天空整理自Github/MSDocs等开源代码及文档管理平台,相关代码片段筛选自各路编程大神贡献的开源项目,源码版权归原作者所有,传播和使用请参考对应项目的License;未经允许,请勿转载。