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
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
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
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
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
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
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
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.op_scope([tags, values], name, "ScalarSummary") as scope:
val = gen_logging_ops._scalar_summary(tags=tags, values=values, name=scope)
_Collect(val, collections, [ops.GraphKeys.SUMMARIES])
return val
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)
