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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 topology.py."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.contrib.tpu.python.tpu import topology
from tensorflow.python.platform import test
class TopologyTest(test.TestCase):
def testSerialization(self):
"""Test if the class is able to generate serialzied string."""
original_topology = topology.Topology(
mesh_shape=[1, 1, 2],
device_coordinates=[[[0, 0, 0], [0, 0, 1]]],
)
serialized_str = original_topology.serialized()
new_topology = topology.Topology(serialized=serialized_str)
# Make sure the topology recovered from serialized str is same as the
# original topology.
self.assertAllEqual(
original_topology.mesh_shape, new_topology.mesh_shape)
self.assertAllEqual(
original_topology.device_coordinates, new_topology.device_coordinates)
if __name__ == "__main__":
test.main()
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