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+# Copyright 2018 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.
+# ==============================================================================
+"""Tests for checkpoint_utils.init_from_checkpoint with Distribution Strategy.
+
+These tests are located here instead of as part of
+`python.training.CheckpointsTest` because they need access to distribution
+strategies which are only present in contrib right now.
+TODO(priyag): Move the tests to core `python.training.CheckpointsTest` when
+distribution strategy moves out of contrib.
+"""
+
+from __future__ import absolute_import
+from __future__ import division
+from __future__ import print_function
+
+from absl.testing import parameterized
+
+from tensorflow.contrib.distribute.python import combinations
+from tensorflow.python.framework import ops
+from tensorflow.python.ops import variable_scope
+from tensorflow.python.ops import variables
+from tensorflow.python.platform import test
+from tensorflow.python.training import checkpoint_utils
+from tensorflow.python.training import checkpoint_utils_test
+
+
+class CheckpointUtilsWithDistributionStrategyTest(
+ test.TestCase, parameterized.TestCase):
+
+ @combinations.generate(combinations.combine(
+ distribution=[combinations.default_strategy,
+ combinations.one_device_strategy,
+ combinations.mirrored_strategy_with_gpu_and_cpu,
+ combinations.mirrored_strategy_with_two_gpus],
+ in_tower_mode=[True, False],
+ mode=["graph"]))
+ def testInitFromCheckpoint(self, distribution, in_tower_mode):
+ checkpoint_dir = self.get_temp_dir()
+ with self.test_session() as session:
+ v1_value, _, _, _ = checkpoint_utils_test._create_checkpoints(
+ session, checkpoint_dir)
+
+ def init_and_verify(g):
+ v1 = variable_scope.get_variable("new_var1", [1, 10])
+ checkpoint_utils.init_from_checkpoint(checkpoint_dir, {
+ "var1": "new_var1",
+ })
+ with self.test_session(graph=g) as session:
+ session.run(variables.global_variables_initializer())
+ self.assertAllEqual(v1_value, self.evaluate(v1))
+
+ with ops.Graph().as_default() as g, distribution.scope():
+ if in_tower_mode:
+ distribution.call_for_each_tower(init_and_verify, g)
+ else:
+ init_and_verify(g)
+
+
+if __name__ == "__main__":
+ test.main()