f618ab4955
- assertEquals -> assertEqual - assertRaisesRegexp -> assertRegexpMatches - assertRegexpMatches -> assertRegex PiperOrigin-RevId: 319118081 Change-Id: Ieb457128522920ab55d6b69a7f244ab798a7d689
117 lines
4.8 KiB
Python
117 lines
4.8 KiB
Python
# Copyright 2016 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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"""Tests for SavedModel utils."""
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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 os
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from tensorflow.python.framework import ops
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from tensorflow.python.framework import test_util
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from tensorflow.python.lib.io import file_io
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from tensorflow.python.ops import variables
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from tensorflow.python.platform import test
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from tensorflow.python.saved_model import builder as saved_model_builder
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from tensorflow.python.saved_model import tag_constants
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from tensorflow.python.tools import saved_model_utils
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def tearDownModule():
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file_io.delete_recursively(test.get_temp_dir())
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class SavedModelUtilTest(test.TestCase):
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def _init_and_validate_variable(self, sess, variable_name, variable_value):
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v = variables.Variable(variable_value, name=variable_name)
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sess.run(variables.global_variables_initializer())
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self.assertEqual(variable_value, v.eval())
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@test_util.deprecated_graph_mode_only
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def testReadSavedModelValid(self):
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saved_model_dir = os.path.join(test.get_temp_dir(), "valid_saved_model")
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builder = saved_model_builder.SavedModelBuilder(saved_model_dir)
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with self.session(graph=ops.Graph()) as sess:
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self._init_and_validate_variable(sess, "v", 42)
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builder.add_meta_graph_and_variables(sess, [tag_constants.TRAINING])
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builder.save()
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actual_saved_model_pb = saved_model_utils.read_saved_model(saved_model_dir)
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self.assertEqual(len(actual_saved_model_pb.meta_graphs), 1)
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self.assertEqual(
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len(actual_saved_model_pb.meta_graphs[0].meta_info_def.tags), 1)
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self.assertEqual(actual_saved_model_pb.meta_graphs[0].meta_info_def.tags[0],
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tag_constants.TRAINING)
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def testReadSavedModelInvalid(self):
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saved_model_dir = os.path.join(test.get_temp_dir(), "invalid_saved_model")
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with self.assertRaisesRegex(
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IOError, "SavedModel file does not exist at: %s" % saved_model_dir):
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saved_model_utils.read_saved_model(saved_model_dir)
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@test_util.deprecated_graph_mode_only
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def testGetSavedModelTagSets(self):
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saved_model_dir = os.path.join(test.get_temp_dir(), "test_tags")
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builder = saved_model_builder.SavedModelBuilder(saved_model_dir)
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# Graph with a single variable. SavedModel invoked to:
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# - add with weights.
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# - a single tag (from predefined constants).
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with self.session(graph=ops.Graph()) as sess:
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self._init_and_validate_variable(sess, "v", 42)
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builder.add_meta_graph_and_variables(sess, [tag_constants.TRAINING])
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# Graph that updates the single variable. SavedModel invoked to:
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# - simply add the model (weights are not updated).
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# - a single tag (from predefined constants).
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with self.session(graph=ops.Graph()) as sess:
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self._init_and_validate_variable(sess, "v", 43)
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builder.add_meta_graph([tag_constants.SERVING])
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# Graph that updates the single variable. SavedModel is invoked:
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# - to add the model (weights are not updated).
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# - multiple predefined tags.
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with self.session(graph=ops.Graph()) as sess:
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self._init_and_validate_variable(sess, "v", 44)
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builder.add_meta_graph([tag_constants.SERVING, tag_constants.GPU])
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# Graph that updates the single variable. SavedModel is invoked:
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# - to add the model (weights are not updated).
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# - multiple predefined tags for serving on TPU.
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with self.session(graph=ops.Graph()) as sess:
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self._init_and_validate_variable(sess, "v", 44)
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builder.add_meta_graph([tag_constants.SERVING, tag_constants.TPU])
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# Graph that updates the single variable. SavedModel is invoked:
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# - to add the model (weights are not updated).
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# - multiple custom tags.
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with self.session(graph=ops.Graph()) as sess:
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self._init_and_validate_variable(sess, "v", 45)
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builder.add_meta_graph(["foo", "bar"])
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# Save the SavedModel to disk.
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builder.save()
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actual_tags = saved_model_utils.get_saved_model_tag_sets(saved_model_dir)
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expected_tags = [["train"], ["serve"], ["serve", "gpu"], ["serve", "tpu"],
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["foo", "bar"]]
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self.assertEqual(expected_tags, actual_tags)
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if __name__ == "__main__":
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test.main()
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