72 lines
2.4 KiB
Python
72 lines
2.4 KiB
Python
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# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""Internal information about the images plugin."""
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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import tensorflow as tf
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from tensorboard.plugins.image import plugin_data_pb2
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PLUGIN_NAME = 'images'
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# The most recent value for the `version` field of the `ImagePluginData`
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# proto.
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PROTO_VERSION = 0
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def create_summary_metadata(display_name, description):
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"""Create a `tf.SummaryMetadata` proto for image plugin data.
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Returns:
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A `tf.SummaryMetadata` protobuf object.
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"""
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content = plugin_data_pb2.ImagePluginData(version=PROTO_VERSION)
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metadata = tf.SummaryMetadata(
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display_name=display_name,
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summary_description=description,
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plugin_data=tf.SummaryMetadata.PluginData(
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plugin_name=PLUGIN_NAME,
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content=content.SerializeToString()))
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return metadata
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def parse_plugin_metadata(content):
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"""Parse summary metadata to a Python object.
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Arguments:
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content: The `content` field of a `SummaryMetadata` proto
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corresponding to the image plugin.
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Returns:
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An `ImagePluginData` protobuf object.
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"""
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result = plugin_data_pb2.ImagePluginData()
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# TODO(@jart): Instead of converting to bytes, assert that the input
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# is a bytestring, and raise a ValueError otherwise...but only after
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# converting `PluginData`'s `content` field to have type `bytes`
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# instead of `string`.
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result.ParseFromString(tf.compat.as_bytes(content))
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if result.version == 0:
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return result
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else:
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tf.logging.warn(
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'Unknown metadata version: %s. The latest version known to '
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'this build of TensorBoard is %s; perhaps a newer build is '
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'available?', result.version, PROTO_VERSION)
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return result
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