Python gen_logging_ops._histogram_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 _histogram_summary [as 別名]
def _histogram(name, tensor):
    if not tf.get_variable_scope().reuse and not tf.sg_get_context().reuse:
        val = gen_logging_ops._histogram_summary(name, tensor)
        tf.add_to_collection(tf.GraphKeys.SUMMARIES, val)


#
# logger wrappers
# 

# 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 _histogram_summary [as 別名]
def histogram_summary(tag, values, collections=None, name=None):
  # pylint: disable=line-too-long
  """Outputs a `Summary` protocol buffer with a histogram.

  This ops is deprecated. Please switch to tf.summary.histogram.

  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 generated
  [`Summary`](https://www.tensorflow.org/code/tensorflow/core/framework/summary.proto)
  has one summary value containing a histogram for `values`.

  This op reports an `InvalidArgument` error if any value is not finite.

  Args:
    tag: A `string` `Tensor`. 0-D.  Tag to use for the summary value.
    values: A real numeric `Tensor`. Any shape. Values to use to
      build the histogram.
    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, "HistogramSummary", [tag, values]) as scope:
    val = gen_logging_ops._histogram_summary(
        tag=tag, 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 _histogram_summary [as 別名]
def histogram(name, values, collections=None):
  # pylint: disable=line-too-long
  """Outputs a `Summary` protocol buffer with a histogram.

  Adding a histogram summary makes it possible to visualize your data's
  distribution in TensorBoard. You can see a detailed explanation of the
  TensorBoard histogram dashboard
  [here](https://www.tensorflow.org/get_started/tensorboard_histograms).

  The generated
  [`Summary`](https://www.tensorflow.org/code/tensorflow/core/framework/summary.proto)
  has one summary value containing a histogram for `values`.

  This op reports an `InvalidArgument` error if any value is not finite.

  Args:
    name: A name for the generated node. Will also serve as a series name in
      TensorBoard.
    values: A real numeric `Tensor`. Any shape. Values to use to
      build the histogram.
    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`. The serialized `Summary` protocol
    buffer.
  """
  # pylint: enable=line-too-long
  name = _clean_tag(name)
  with _ops.name_scope(name, 'HistogramSummary', [values]) as scope:
    # pylint: disable=protected-access
    val = _gen_logging_ops._histogram_summary(
        tag=scope.rstrip('/'), 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 _histogram_summary [as 別名]
def histogram_summary(tag, values, collections=None, name=None):
  # pylint: disable=line-too-long
  """Outputs a `Summary` protocol buffer with a histogram.

  This ops is deprecated. Please switch to tf.summary.histogram.

  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 generated
  [`Summary`](https://www.tensorflow.org/code/tensorflow/core/framework/summary.proto)
  has one summary value containing a histogram for `values`.

  This op reports an `InvalidArgument` error if any value is not finite.

  Args:
    tag: A `string` `Tensor`. 0-D.  Tag to use for the summary value.
    values: A real numeric `Tensor`. Any shape. Values to use to
      build the histogram.
    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, "HistogramSummary", [tag, values]) as scope:
    val = gen_logging_ops._histogram_summary(
        tag=tag, 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 _histogram_summary [as 別名]
def histogram(name, values, collections=None):
  # pylint: disable=line-too-long
  """Outputs a `Summary` protocol buffer with a histogram.

  The generated
  [`Summary`](https://www.tensorflow.org/code/tensorflow/core/framework/summary.proto)
  has one summary value containing a histogram for `values`.

  This op reports an `InvalidArgument` error if any value is not finite.

  Args:
    name: A name for the generated node. Will also serve as a series name in
      TensorBoard.
    values: A real numeric `Tensor`. Any shape. Values to use to
      build the histogram.
    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`. The serialized `Summary` protocol
    buffer.
  """
  # pylint: enable=line-too-long
  name = _clean_tag(name)
  with _ops.name_scope(name, 'HistogramSummary', [values]) as scope:
    # pylint: disable=protected-access
    val = _gen_logging_ops._histogram_summary(
        tag=scope.rstrip('/'), 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 _histogram_summary [as 別名]
def histogram_summary(tag, values, collections=None, name=None):
  """Outputs a `Summary` protocol buffer with a histogram.

  The generated
  [`Summary`](https://www.tensorflow.org/code/tensorflow/core/framework/summary.proto)
  has one summary value containing a histogram for `values`.

  This op reports an `InvalidArgument` error if any value is not finite.

  Args:
    tag: A `string` `Tensor`. 0-D.  Tag to use for the summary value.
    values: A real numeric `Tensor`. Any shape. Values to use to
      build the histogram.
    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, "HistogramSummary", [tag, values]) as scope:
    val = gen_logging_ops._histogram_summary(
        tag=tag, 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 _histogram_summary [as 別名]
def histogram(name, values, collections=None, family=None):
  # pylint: disable=line-too-long
  """Outputs a `Summary` protocol buffer with a histogram.

  Adding a histogram summary makes it possible to visualize your data's
  distribution in TensorBoard. You can see a detailed explanation of the
  TensorBoard histogram dashboard
  [here](https://www.tensorflow.org/get_started/tensorboard_histograms).

  The generated
  [`Summary`](https://www.tensorflow.org/code/tensorflow/core/framework/summary.proto)
  has one summary value containing a histogram for `values`.

  This op reports an `InvalidArgument` error if any value is not finite.

  Args:
    name: A name for the generated node. Will also serve as a series name in
      TensorBoard.
    values: A real numeric `Tensor`. Any shape. Values to use to
      build the histogram.
    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`. The serialized `Summary` protocol
    buffer.
  """
  with _summary_op_util.summary_scope(
      name, family, values=[values],
      default_name='HistogramSummary') as (tag, scope):
    # pylint: disable=protected-access
    val = _gen_logging_ops._histogram_summary(
        tag=tag, values=values, name=scope)
    _summary_op_util.collect(val, collections, [_ops.GraphKeys.SUMMARIES])
  return val