Python tensorflow.python.platform.tf_logging.ERROR Examples

The following are 11 code examples of tensorflow.python.platform.tf_logging.ERROR(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module tensorflow.python.platform.tf_logging , or try the search function .
Example #1
Source File: tensorboard_logging.py    From lambda-packs with MIT License 5 votes vote down vote up 
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 vote down vote up 
def error(message, *args):
  log(ERROR, message, *args)
Example #3
Source File: event_accumulator.py    From lambda-packs with MIT License 5 votes vote down vote up 
def _ProcessHealthPillSummary(self, value, event):
    """Process summaries containing health pills.

    These summaries are distinguished by the fact that they have a Tensor field
    and have a special tag value.

    This method emits ERROR-level messages to the logs if it encounters Tensor
    summaries that it cannot process.

    Args:
      value: A summary_pb2.Summary.Value with a Tensor field.
      event: The event_pb2.Event containing that value.
    """
    elements = tensor_util.MakeNdarray(value.tensor)

    # The node_name property of the value object is actually a watch key: a
    # combination of node name, output slot, and a suffix. We capture the
    # actual node name and the output slot with a regular expression.
    match = re.match(r'^(.*):(\d+):DebugNumericSummary$', value.node_name)
    if not match:
      logging.log_first_n(
          logging.ERROR,
          'Unsupported watch key %s for health pills; skipping this sequence.',
          1,
          value.node_name)
      return

    node_name = match.group(1)
    output_slot = int(match.group(2))
    self._ProcessHealthPill(
        event.wall_time, event.step, node_name, output_slot, elements)
Example #4
Source File: tensorboard_logging.py    From auto-alt-text-lambda-api with MIT License 5 votes vote down vote up 
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 #5
Source File: tensorboard_logging.py    From auto-alt-text-lambda-api with MIT License 5 votes vote down vote up 
def error(message, *args):
  log(ERROR, message, *args)
Example #6
Source File: tensorboard_logging.py    From deep_image_model with Apache License 2.0 5 votes vote down vote up 
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 #7
Source File: tensorboard_logging.py    From deep_image_model with Apache License 2.0 5 votes vote down vote up 
def error(message, *args):
  log(ERROR, message, *args)
Example #8
Source File: tensorboard_logging.py    From Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda with MIT License 5 votes vote down vote up 
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 #9
Source File: tensorboard_logging.py    From Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda with MIT License 5 votes vote down vote up 
def error(message, *args):
  log(ERROR, message, *args)
Example #10
Source File: tensorboard_logging.py    From keras-lambda with MIT License 5 votes vote down vote up 
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 #11
Source File: tensorboard_logging.py    From keras-lambda with MIT License 5 votes vote down vote up 
def error(message, *args):
  log(ERROR, message, *args)