Remove all remaining references to non-public TF modules from TensorBoard.

I deleted the PluginAssetUtil tests because that code is deprecated.
I'll later add manual testing for backcompat in the text plugin.

PiperOrigin-RevId: 158037466

tensorflow/tensorboard/backend/application_test.py

@@ -36,7 +36,6 @@ import tensorflow as tf
 
 from werkzeug import serving
 
-from tensorflow.core.protobuf import meta_graph_pb2
 from tensorflow.tensorboard import tensorboard
 from tensorflow.tensorboard.backend import application
 from tensorflow.tensorboard.backend.event_processing import event_multiplexer
@@ -221,7 +220,7 @@ class TensorboardServerTest(tf.test.TestCase):
     node2.name = 'b'
     node2.attr['very_large_attr'].s = b'a' * 2048  # 2 KB attribute
 
-    meta_graph_def = meta_graph_pb2.MetaGraphDef(graph_def=graph_def)
+    meta_graph_def = tf.MetaGraphDef(graph_def=graph_def)
 
     if self._only_use_meta_graph:
       writer.add_meta_graph(meta_graph_def)

tensorflow/tensorboard/backend/event_processing/BUILD

@@ -134,18 +134,6 @@ py_library(
     ],
 )
 
-py_test(
-    name = "plugin_asset_util_test",
-    size = "small",
-    srcs = ["plugin_asset_util_test.py"],
-    srcs_version = "PY2AND3",
-    deps = [
-        ":event_multiplexer",
-        ":plugin_asset_util",
-        "//tensorflow:tensorflow_py",
-    ],
-)
-
 py_library(
     name = "event_file_inspector",
     srcs = ["event_file_inspector.py"],

tensorflow/tensorboard/backend/event_processing/event_accumulator_test.py

@@ -24,7 +24,6 @@ import six
 from six.moves import xrange  # pylint: disable=redefined-builtin
 import tensorflow as tf
 
-from tensorflow.python.summary.writer.writer import SummaryToEventTransformer
 from tensorflow.tensorboard.backend.event_processing import event_accumulator as ea
 
 
@@ -760,7 +759,8 @@ class MockingEventAccumulatorTest(EventAccumulatorTest):
   def testTFSummaryScalar(self):
     """Verify processing of tf.summary.scalar."""
     event_sink = _EventGenerator(self, zero_out_timestamps=True)
-    writer = SummaryToEventTransformer(event_sink)
+    writer = tf.summary.FileWriter(self.get_temp_dir())
+    writer.event_writer = event_sink
     with self.test_session() as sess:
       ipt = tf.placeholder(tf.float32)
       tf.summary.scalar('scalar1', ipt)
@@ -794,7 +794,8 @@ class MockingEventAccumulatorTest(EventAccumulatorTest):
   def testTFSummaryImage(self):
     """Verify processing of tf.summary.image."""
     event_sink = _EventGenerator(self, zero_out_timestamps=True)
-    writer = SummaryToEventTransformer(event_sink)
+    writer = tf.summary.FileWriter(self.get_temp_dir())
+    writer.event_writer = event_sink
     with self.test_session() as sess:
       ipt = tf.ones([10, 4, 4, 3], tf.uint8)
       # This is an interesting example, because the old tf.image_summary op
@@ -830,7 +831,8 @@ class MockingEventAccumulatorTest(EventAccumulatorTest):
   def testTFSummaryTensor(self):
     """Verify processing of tf.summary.tensor."""
     event_sink = _EventGenerator(self, zero_out_timestamps=True)
-    writer = SummaryToEventTransformer(event_sink)
+    writer = tf.summary.FileWriter(self.get_temp_dir())
+    writer.event_writer = event_sink
     with self.test_session() as sess:
       tf.summary.tensor_summary('scalar', tf.constant(1.0))
       tf.summary.tensor_summary('vector', tf.constant([1.0, 2.0, 3.0]))

tensorflow/tensorboard/backend/event_processing/plugin_asset_util_test.py

@@ -1,119 +0,0 @@
-# Copyright 2015 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.
-# ==============================================================================
-
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
-import os.path
-
-import tensorflow as tf
-
-from tensorflow.python.summary import plugin_asset
-
-from tensorflow.tensorboard.backend.event_processing import event_multiplexer
-from tensorflow.tensorboard.backend.event_processing import plugin_asset_util
-
-
-class GenericContentPlugin(plugin_asset.PluginAsset):
-
-  def __init__(self):
-    self.contents = "hello world"
-
-  def assets(self):
-    return {"contents.txt": self.contents}
-
-
-class PluginAlpha(GenericContentPlugin):
-  plugin_name = "Alpha"
-
-
-class PluginBeta(GenericContentPlugin):
-  plugin_name = "Beta"
-
-
-class PluginGamma(GenericContentPlugin):
-  plugin_name = "Gamma"
-
-
-class PluginAssetUtilitiesTest(tf.test.TestCase):
-
-  def testGetPluginDirectory(self):
-    self.assertEqual(
-        os.path.join("logdir", "plugins", "x"),
-        plugin_asset_util.PluginDirectory("logdir", "x"))
-
-  def testNonExistentDirectory(self):
-    tempdir = self.get_temp_dir()
-    fake_dir = os.path.join(tempdir, "nonexistent_dir")
-    self.assertEqual([], plugin_asset_util.ListPlugins(fake_dir))
-    self.assertEqual([], plugin_asset_util.ListAssets(fake_dir, "fake_plugin"))
-    with self.assertRaises(KeyError):
-      plugin_asset_util.RetrieveAsset(fake_dir, "fake_plugin", "fake_asset")
-
-  def testSimplePluginCase(self):
-    tempdir = self.get_temp_dir()
-    with tf.Graph().as_default() as g:
-      plugin_asset.get_plugin_asset(PluginAlpha)
-      fw = tf.summary.FileWriter(tempdir)
-      fw.add_graph(g)
-    self.assertEqual(["Alpha"], plugin_asset_util.ListPlugins(tempdir))
-    assets = plugin_asset_util.ListAssets(tempdir, "Alpha")
-    self.assertEqual(["contents.txt"], assets)
-    contents = plugin_asset_util.RetrieveAsset(tempdir, "Alpha", "contents.txt")
-    self.assertEqual("hello world", contents)
-
-  def testEventMultiplexerIntegration(self):
-    tempdir = self.get_temp_dir()
-    with tf.Graph().as_default() as g:
-      plugin_instance = plugin_asset.get_plugin_asset(PluginAlpha)
-      plugin_instance.contents = "graph one"
-      plugin_asset.get_plugin_asset(PluginBeta)
-
-      fw = tf.summary.FileWriter(os.path.join(tempdir, "one"))
-      fw.add_graph(g)
-      fw.close()
-
-    with tf.Graph().as_default() as g:
-      plugin_instance = plugin_asset.get_plugin_asset(PluginAlpha)
-      plugin_instance.contents = "graph two"
-      fw = tf.summary.FileWriter(os.path.join(tempdir, "two"))
-      fw.add_graph(g)
-      fw.close()
-
-    multiplexer = event_multiplexer.EventMultiplexer()
-    multiplexer.AddRunsFromDirectory(tempdir)
-
-    self.assertEqual(
-        multiplexer.PluginAssets("Alpha"),
-        {"one": ["contents.txt"], "two": ["contents.txt"]})
-    self.assertEqual(
-        multiplexer.RetrievePluginAsset("one", "Alpha", "contents.txt"),
-        "graph one")
-    self.assertEqual(
-        multiplexer.RetrievePluginAsset("one", "Beta", "contents.txt"),
-        "hello world")
-    self.assertEqual(
-        multiplexer.RetrievePluginAsset("two", "Alpha", "contents.txt"),
-        "graph two")
-
-    self.assertEqual(
-        multiplexer.PluginAssets("Beta"),
-        {"one": ["contents.txt"], "two": []})
-    self.assertEqual(multiplexer.PluginAssets("Gamma"), {"one": [], "two": []})
-
-
-if __name__ == "__main__":
-  tf.test.main()

tensorflow/tensorboard/plugins/scalars/scalars_demo.py

@@ -23,8 +23,6 @@ import os.path
 from six.moves import xrange  # pylint: disable=redefined-builtin
 import tensorflow as tf
 
-from tensorflow.python.platform import app
-
 # Directory into which to write tensorboard data.
 LOGDIR = '/tmp/scalars_demo'
 
@@ -129,4 +127,4 @@ def main(unused_argv):
 
 
 if __name__ == '__main__':
-  app.run()
+  tf.app.run()

tensorflow/tensorboard/plugins/text/text_plugin.py

@@ -35,7 +35,6 @@ import six
 import tensorflow as tf
 from werkzeug import wrappers
 
-from tensorflow.python.summary import text_summary
 from tensorflow.tensorboard.backend import http_util
 from tensorflow.tensorboard.plugins import base_plugin
 
@@ -256,7 +255,7 @@ class TextPlugin(base_plugin.TBPlugin):
 
   def index_impl(self):
     run_to_series = {}
-    name = text_summary.TextSummaryPluginAsset.plugin_name
+    name = 'tensorboard_text'
     run_to_assets = self.multiplexer.PluginAssets(name)
 
     for run, assets in run_to_assets.items():