def tensor_summary(
display_name, # pylint: disable=invalid-name
tensor,
description="",
labels=None,
collections=None,
name=None):
# pylint: disable=line-too-long
"""Outputs a `Summary` protocol buffer with a serialized tensor.proto.
The generated
[`Summary`](https://www.tensorflow.org/code/tensorflow/core/framework/summary.proto)
has one summary value containing input_tensor.
Args:
display_name: A name to associate with the data series. Will be used to
organize output data and as a name in visualizers.
tensor: A tensor of any type and shape to serialize.
description: An optional long description of the data being output.
labels: a list of strings used to specify how the data can be interpreted,
for example:
* `'encoding:image/jpg'` for a string tensor containing jpg images
* `'encoding:proto/X/Y/foo.proto'` for a string tensor containing Foos
* `'group:$groupName/$roleInGroup'` for a tensor that is related to
other tensors that are all in a group. (e.g. bounding boxes and images)
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.
"""
# pylint: enable=line-too-long
with ops.op_scope([tensor], name, "TensorSummary") as scope:
val = gen_logging_ops._tensor_summary(display_name=display_name,
tensor=tensor,
description=description,
labels=labels,
name=scope)
_Collect(val, collections, [ops.GraphKeys.SUMMARIES])
return val
def tensor_summary(display_name, # pylint: disable=invalid-name
tensor,
description="",
labels=None,
collections=None,
name=None):
# pylint: disable=line-too-long
"""Outputs a `Summary` protocol buffer with a serialized tensor.proto.
The generated
[`Summary`](https://www.tensorflow.org/code/tensorflow/core/framework/summary.proto)
has one summary value containing the input tensor.
Args:
display_name: A name to associate with the data series. Will be used to
organize output data and as a name in visualizers.
tensor: A tensor of any type and shape to serialize.
description: An optional long description of the data being output.
labels: a list of strings used to specify how the data can be interpreted,
for example:
* `'encoding:image/jpg'` for a string tensor containing jpg images
* `'encoding:proto/X/Y/foo.proto'` for a string tensor containing Foos
* `'group:$groupName/$roleInGroup'` for a tensor that is related to
other tensors that are all in a group. (e.g. bounding boxes and images)
collections: Optional list of graph collections keys. The new summary op is
added to these collections. Defaults to `[GraphKeys.SUMMARIES]`.
name: An optional name for the generated node (optional).
Returns:
A scalar `Tensor` of type `string`. The serialized `Summary` protocol
buffer.
"""
# pylint: enable=line-too-long
with ops.name_scope(name, "TensorSummary", [tensor]) as scope:
val = gen_logging_ops._tensor_summary(
display_name=display_name,
tensor=tensor,
description=description,
labels=labels,
name=scope)
_Collect(val, collections, [ops.GraphKeys.SUMMARIES])
return val
def tensor_summary( # pylint: disable=invalid-name
name,
tensor,
summary_description=None,
collections=None):
# pylint: disable=line-too-long
"""Outputs a `Summary` protocol buffer with a serialized tensor.proto.
The generated
[`Summary`](https://www.tensorflow.org/code/tensorflow/core/framework/summary.proto)
has one summary value containing the input tensor.
Args:
name: A name for the generated node. Will also serve as the series name in
TensorBoard.
tensor: A tensor of any type and shape to serialize.
summary_description: Optional summary_pb2.SummaryDescription()
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
if summary_description is None:
summary_description = summary_pb2.SummaryDescription()
description = json_format.MessageToJson(summary_description)
with ops.name_scope(name, None, [tensor]) as scope:
val = gen_logging_ops._tensor_summary(
tensor=tensor,
description=description,
name=scope)
_Collect(val, collections, [ops.GraphKeys.SUMMARIES])
return val
