107 lines
4 KiB
Python
107 lines
4 KiB
Python
|
# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
|
||
|
|
#
|
||
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
||
|
|
# you may not use this file except in compliance with the License.
|
||
|
|
# You may obtain a copy of the License at
|
||
|
|
#
|
||
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
||
|
|
#
|
||
|
|
# Unless required by applicable law or agreed to in writing, software
|
||
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
||
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||
|
|
# See the License for the specific language governing permissions and
|
||
|
|
# limitations under the License.
|
||
|
|
# ==============================================================================
|
||
|
|
"""Text summaries and TensorFlow operations to create them.
|
||
|
|
A text summary stores a single string value.
|
||
|
|
"""
|
||
|
|
|
||
|
|
from __future__ import absolute_import
|
||
|
|
from __future__ import division
|
||
|
|
from __future__ import print_function
|
||
|
|
|
||
|
|
import tensorflow as tf
|
||
|
|
|
||
|
|
from tensorboard.plugins.text import metadata
|
||
|
|
|
||
|
|
|
||
|
|
def op(name,
|
||
|
|
data,
|
||
|
|
display_name=None,
|
||
|
|
description=None,
|
||
|
|
collections=None):
|
||
|
|
"""Create a text summary op.
|
||
|
|
|
||
|
|
Text data summarized via this plugin will be visible in the Text Dashboard
|
||
|
|
in TensorBoard. The standard TensorBoard Text Dashboard will render markdown
|
||
|
|
in the strings, and will automatically organize 1D and 2D tensors into tables.
|
||
|
|
If a tensor with more than 2 dimensions is provided, a 2D subarray will be
|
||
|
|
displayed along with a warning message. (Note that this behavior is not
|
||
|
|
intrinsic to the text summary API, but rather to the default TensorBoard text
|
||
|
|
plugin.)
|
||
|
|
|
||
|
|
Args:
|
||
|
|
name: A name for the generated node. Will also serve as a series name in
|
||
|
|
TensorBoard.
|
||
|
|
data: A string-type Tensor to summarize. The text must be encoded in UTF-8.
|
||
|
|
display_name: Optional name for this summary in TensorBoard, as a
|
||
|
|
constant `str`. Defaults to `name`.
|
||
|
|
description: Optional long-form description for this summary, as a
|
||
|
|
constant `str`. Markdown is supported. Defaults to empty.
|
||
|
|
collections: Optional list of ops.GraphKeys. The collections to which to add
|
||
|
|
the summary. Defaults to [Graph Keys.SUMMARIES].
|
||
|
|
|
||
|
|
Returns:
|
||
|
|
A TensorSummary op that is configured so that TensorBoard will recognize
|
||
|
|
that it contains textual data. The TensorSummary is a scalar `Tensor` of
|
||
|
|
type `string` which contains `Summary` protobufs.
|
||
|
|
|
||
|
|
Raises:
|
||
|
|
ValueError: If tensor has the wrong type.
|
||
|
|
"""
|
||
|
|
if display_name is None:
|
||
|
|
display_name = name
|
||
|
|
summary_metadata = metadata.create_summary_metadata(
|
||
|
|
display_name=display_name, description=description)
|
||
|
|
with tf.name_scope(name):
|
||
|
|
with tf.control_dependencies([tf.assert_type(data, tf.string)]):
|
||
|
|
return tf.summary.tensor_summary(name='text_summary',
|
||
|
|
tensor=data,
|
||
|
|
collections=collections,
|
||
|
|
summary_metadata=summary_metadata)
|
||
|
|
|
||
|
|
|
||
|
|
def pb(name, data, display_name=None, description=None):
|
||
|
|
"""Create a text summary protobuf.
|
||
|
|
|
||
|
|
Arguments:
|
||
|
|
name: A name for the generated node. Will also serve as a series name in
|
||
|
|
TensorBoard.
|
||
|
|
data: A Python bytestring (of type bytes), or Unicode string. Or a numpy
|
||
|
|
data array of those types.
|
||
|
|
display_name: Optional name for this summary in TensorBoard, as a
|
||
|
|
`str`. Defaults to `name`.
|
||
|
|
description: Optional long-form description for this summary, as a
|
||
|
|
`str`. Markdown is supported. Defaults to empty.
|
||
|
|
|
||
|
|
Raises:
|
||
|
|
ValueError: If the type of the data is unsupported.
|
||
|
|
|
||
|
|
Returns:
|
||
|
|
A `tf.Summary` protobuf object.
|
||
|
|
"""
|
||
|
|
try:
|
||
|
|
tensor = tf.make_tensor_proto(data, dtype=tf.string)
|
||
|
|
except TypeError as e:
|
||
|
|
raise ValueError(e)
|
||
|
|
|
||
|
|
if display_name is None:
|
||
|
|
display_name = name
|
||
|
|
summary_metadata = metadata.create_summary_metadata(
|
||
|
|
display_name=display_name, description=description)
|
||
|
|
summary = tf.Summary()
|
||
|
|
summary.value.add(tag='%s/text_summary' % name,
|
||
|
|
metadata=summary_metadata,
|
||
|
|
tensor=tensor)
|
||
|
|
return summary
|