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# Copyright 2016 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.
# ==============================================================================
"""Public API for the Embedding Projector.
@@ProjectorPluginAsset
@@ProjectorConfig
@@EmbeddingInfo
@@EmbeddingMetadata
@@SpriteMetadata
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import tensorflow as tf
from google.protobuf import text_format as _text_format
from tensorboard.plugins.projector import projector_plugin as _projector_plugin
from tensorboard.plugins.projector.projector_config_pb2 import EmbeddingInfo
from tensorboard.plugins.projector.projector_config_pb2 import SpriteMetadata
from tensorboard.plugins.projector.projector_config_pb2 import ProjectorConfig
def visualize_embeddings(summary_writer, config):
"""Stores a config file used by the embedding projector.
Args:
summary_writer: The summary writer used for writing events.
config: `tf.contrib.tensorboard.plugins.projector.ProjectorConfig`
proto that holds the configuration for the projector such as paths to
checkpoint files and metadata files for the embeddings. If
`config.model_checkpoint_path` is none, it defaults to the
`logdir` used by the summary_writer.
Raises:
ValueError: If the summary writer does not have a `logdir`.
"""
logdir = summary_writer.get_logdir()
# Sanity checks.
if logdir is None:
raise ValueError('Summary writer must have a logdir')
# Saving the config file in the logdir.
config_pbtxt = _text_format.MessageToString(config)
path = os.path.join(logdir, _projector_plugin.PROJECTOR_FILENAME)
with tf.gfile.Open(path, 'w') as f:
f.write(config_pbtxt)
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