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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.
# ==============================================================================
"""Unit tests for checkpoint converter."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import glob
import os
import tempfile
from tensorflow.contrib.rnn.python.tools import checkpoint_convert
from tensorflow.python.client import session
from tensorflow.python.framework import ops
from tensorflow.python.ops import variables
from tensorflow.python.platform import test
from tensorflow.python.training import saver as saver_lib
class CheckpointConvertTest(test.TestCase):
def setUp(self):
self._old_ckpt_path = tempfile.mktemp()
self._new_ckpt_path = tempfile.mktemp()
ops.reset_default_graph()
def tearDown(self):
for file_name in glob.glob(self._old_ckpt_path + "*"):
os.remove(file_name)
for file_name in glob.glob(self._new_ckpt_path + "*"):
os.remove(file_name)
def testReplacementDictsContainUniqueAndNonEmptyVariableNames(self):
for old_name in checkpoint_convert._RNN_NAME_REPLACEMENTS:
new_name = checkpoint_convert._RNN_NAME_REPLACEMENTS[old_name]
self.assertTrue(old_name)
self.assertTrue(new_name)
self.assertNotEqual(old_name, new_name)
for old_name in checkpoint_convert._RNN_SHARDED_NAME_REPLACEMENTS:
new_name = checkpoint_convert._RNN_SHARDED_NAME_REPLACEMENTS[old_name]
self.assertTrue(old_name)
self.assertTrue(new_name)
self.assertNotEqual(old_name, new_name)
def testConversionFromV2WithConvertedVariableNamesSucceeds(self):
variables.Variable(10.0, name="a")
for old_name in checkpoint_convert._RNN_NAME_REPLACEMENTS:
variables.Variable(20.0, name=old_name)
with session.Session() as sess:
saver = saver_lib.Saver()
sess.run(variables.global_variables_initializer())
saver.save(sess, self._old_ckpt_path)
new_var_map, conversion_map = checkpoint_convert.convert_names(
self._old_ckpt_path, self._new_ckpt_path)
self.assertTrue(glob.glob(self._new_ckpt_path + "*"))
self.assertItemsEqual(
["a"] + list(checkpoint_convert._RNN_NAME_REPLACEMENTS.values()),
new_var_map.keys())
self.assertEqual(checkpoint_convert._RNN_NAME_REPLACEMENTS, conversion_map)
def testConversionFromV2WithoutConvertedVariableNamesSucceeds(self):
variables.Variable(10.0, name="a")
with session.Session() as sess:
saver = saver_lib.Saver()
sess.run(variables.global_variables_initializer())
saver.save(sess, self._old_ckpt_path)
new_var_map, conversion_map = checkpoint_convert.convert_names(
self._old_ckpt_path, self._new_ckpt_path)
self.assertItemsEqual(["a"], new_var_map.keys())
self.assertFalse(conversion_map)
def testConversionToV1Succeeds(self):
variables.Variable(10.0, name="a")
variables.Variable(
20.0, name=list(checkpoint_convert._RNN_NAME_REPLACEMENTS.keys())[-1])
with session.Session() as sess:
saver = saver_lib.Saver()
sess.run(variables.global_variables_initializer())
saver.save(sess, self._old_ckpt_path)
new_var_map, conversion_map = checkpoint_convert.convert_names(
self._old_ckpt_path, self._new_ckpt_path, write_v1_checkpoint=True)
self.assertItemsEqual(
["a", list(checkpoint_convert._RNN_NAME_REPLACEMENTS.values())[-1]],
new_var_map.keys())
self.assertEqual(
{list(checkpoint_convert._RNN_NAME_REPLACEMENTS.keys())[-1]:
list(checkpoint_convert._RNN_NAME_REPLACEMENTS.values())[-1]},
conversion_map)
if __name__ == "__main__":
test.main()
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