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# 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.
# ==============================================================================
"""Internal information about the images plugin."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
from tensorboard.plugins.image import plugin_data_pb2
PLUGIN_NAME = 'images'
# The most recent value for the `version` field of the `ImagePluginData`
# proto.
PROTO_VERSION = 0
def create_summary_metadata(display_name, description):
"""Create a `tf.SummaryMetadata` proto for image plugin data.
Returns:
A `tf.SummaryMetadata` protobuf object.
"""
content = plugin_data_pb2.ImagePluginData(version=PROTO_VERSION)
metadata = tf.SummaryMetadata(
display_name=display_name,
summary_description=description,
plugin_data=tf.SummaryMetadata.PluginData(
plugin_name=PLUGIN_NAME,
content=content.SerializeToString()))
return metadata
def parse_plugin_metadata(content):
"""Parse summary metadata to a Python object.
Arguments:
content: The `content` field of a `SummaryMetadata` proto
corresponding to the image plugin.
Returns:
An `ImagePluginData` protobuf object.
"""
result = plugin_data_pb2.ImagePluginData()
# TODO(@jart): Instead of converting to bytes, assert that the input
# is a bytestring, and raise a ValueError otherwise...but only after
# converting `PluginData`'s `content` field to have type `bytes`
# instead of `string`.
result.ParseFromString(tf.compat.as_bytes(content))
if result.version == 0:
return result
else:
tf.logging.warn(
'Unknown metadata version: %s. The latest version known to '
'this build of TensorBoard is %s; perhaps a newer build is '
'available?', result.version, PROTO_VERSION)
return result
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