Python gen_logging_ops._scalar_summary方法代碼示例

# 需要導入模塊: from tensorflow.python.ops import gen_logging_ops [as 別名]
# 或者: from tensorflow.python.ops.gen_logging_ops import _scalar_summary [as 別名]
def scalar(name, tensor, collections=None):
  """Outputs a `Summary` protocol buffer containing a single scalar value.

  The generated Summary has a Tensor.proto containing the input Tensor.

  Args:
    name: A name for the generated node. Will also serve as the series name in
      TensorBoard.
    tensor: A real numeric Tensor containing a single value.
    collections: Optional list of graph collections keys. The new summary op is
      added to these collections. Defaults to `[GraphKeys.SUMMARIES]`.

  Returns:
    A scalar `Tensor` of type `string`. Which contains a `Summary` protobuf.

  Raises:
    ValueError: If tensor has the wrong shape or type.
  """
  name = _clean_tag(name)
  with _ops.name_scope(name, None, [tensor]) as scope:
    # pylint: disable=protected-access
    val = _gen_logging_ops._scalar_summary(
        tags=scope.rstrip('/'), values=tensor, name=scope)
    _collect(val, collections, [_ops.GraphKeys.SUMMARIES])
  return val 

# 需要導入模塊: from tensorflow.python.ops import gen_logging_ops [as 別名]
# 或者: from tensorflow.python.ops.gen_logging_ops import _scalar_summary [as 別名]
def scalar_summary(tags, values, collections=None, name=None):
  """Outputs a `Summary` protocol buffer with scalar values.

  The input `tags` and `values` must have the same shape.  The generated
  summary has a summary value for each tag-value pair in `tags` and `values`.

  Args:
    tags: A `string` `Tensor`.  Tags for the summaries.
    values: A real numeric Tensor.  Values for the summaries.
    collections: Optional list of graph collections keys. The new summary op is
      added to these collections. Defaults to `[GraphKeys.SUMMARIES]`.
    name: A name for the operation (optional).

  Returns:
    A scalar `Tensor` of type `string`. The serialized `Summary` protocol
    buffer.
  """
  with ops.name_scope(name, "ScalarSummary", [tags, values]) as scope:
    val = gen_logging_ops._scalar_summary(tags=tags, values=values, name=scope)
    _Collect(val, collections, [ops.GraphKeys.SUMMARIES])
  return val 

# 需要導入模塊: from tensorflow.python.ops import gen_logging_ops [as 別名]
# 或者: from tensorflow.python.ops.gen_logging_ops import _scalar_summary [as 別名]
def _scalar(name, tensor):
    if not tf.get_variable_scope().reuse and not tf.sg_get_context().reuse:
        val = gen_logging_ops._scalar_summary(name, tensor)
        tf.add_to_collection(tf.GraphKeys.SUMMARIES, val) 

# 需要導入模塊: from tensorflow.python.ops import gen_logging_ops [as 別名]
# 或者: from tensorflow.python.ops.gen_logging_ops import _scalar_summary [as 別名]
def scalar_summary(tags, values, collections=None, name=None):
  # pylint: disable=line-too-long
  """Outputs a `Summary` protocol buffer with scalar values.

  This ops is deprecated. Please switch to tf.summary.scalar.
  For an explanation of why this op was deprecated, and information on how to
  migrate, look ['here'](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/contrib/deprecated/__init__.py)

  The input `tags` and `values` must have the same shape.  The generated
  summary has a summary value for each tag-value pair in `tags` and `values`.

  Args:
    tags: A `string` `Tensor`.  Tags for the summaries.
    values: A real numeric Tensor.  Values for the summaries.
    collections: Optional list of graph collections keys. The new summary op is
      added to these collections. Defaults to `[GraphKeys.SUMMARIES]`.
    name: A name for the operation (optional).

  Returns:
    A scalar `Tensor` of type `string`. The serialized `Summary` protocol
    buffer.
  """
  with ops.name_scope(name, "ScalarSummary", [tags, values]) as scope:
    val = gen_logging_ops._scalar_summary(tags=tags, values=values, name=scope)
    _Collect(val, collections, [ops.GraphKeys.SUMMARIES])
  return val 

# 需要導入模塊: from tensorflow.python.ops import gen_logging_ops [as 別名]
# 或者: from tensorflow.python.ops.gen_logging_ops import _scalar_summary [as 別名]
def scalar_summary(tags, values, collections=None, name=None):
  # pylint: disable=line-too-long
  """Outputs a `Summary` protocol buffer with scalar values.

  This ops is deprecated. Please switch to tf.summary.scalar.
  For an explanation of why this op was deprecated, and information on how to
  migrate, look ['here'](https://www.tensorflow.org/code/tensorflow/contrib/deprecated/__init__.py)

  The input `tags` and `values` must have the same shape.  The generated
  summary has a summary value for each tag-value pair in `tags` and `values`.

  Args:
    tags: A `string` `Tensor`.  Tags for the summaries.
    values: A real numeric Tensor.  Values for the summaries.
    collections: Optional list of graph collections keys. The new summary op is
      added to these collections. Defaults to `[GraphKeys.SUMMARIES]`.
    name: A name for the operation (optional).

  Returns:
    A scalar `Tensor` of type `string`. The serialized `Summary` protocol
    buffer.
  """
  with ops.name_scope(name, "ScalarSummary", [tags, values]) as scope:
    val = gen_logging_ops._scalar_summary(tags=tags, values=values, name=scope)
    _Collect(val, collections, [ops.GraphKeys.SUMMARIES])
  return val 

# 需要導入模塊: from tensorflow.python.ops import gen_logging_ops [as 別名]
# 或者: from tensorflow.python.ops.gen_logging_ops import _scalar_summary [as 別名]
def scalar(name, tensor, collections=None, family=None):
  """Outputs a `Summary` protocol buffer containing a single scalar value.

  The generated Summary has a Tensor.proto containing the input Tensor.

  Args:
    name: A name for the generated node. Will also serve as the series name in
      TensorBoard.
    tensor: A real numeric Tensor containing a single value.
    collections: Optional list of graph collections keys. The new summary op is
      added to these collections. Defaults to `[GraphKeys.SUMMARIES]`.
    family: Optional; if provided, used as the prefix of the summary tag name,
      which controls the tab name used for display on Tensorboard.

  Returns:
    A scalar `Tensor` of type `string`. Which contains a `Summary` protobuf.

  Raises:
    ValueError: If tensor has the wrong shape or type.
  """
  with _summary_op_util.summary_scope(
      name, family, values=[tensor]) as (tag, scope):
    # pylint: disable=protected-access
    val = _gen_logging_ops._scalar_summary(tags=tag, values=tensor, name=scope)
    _summary_op_util.collect(val, collections, [_ops.GraphKeys.SUMMARIES])
  return val