35 lines
1.2 KiB
Python
35 lines
1.2 KiB
Python
# Copyright (c) 2021 PaddlePaddle 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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import unittest
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class TestClusterPartition(unittest.TestCase):
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def test_cluster_partition(self):
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clusters = [(5, 8), (1, 8), (4, 8), (16, 8), (2, 8), (3, 8)]
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from paddle.distributed.auto_parallel.static.tuner.rule_based_tuner import (
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ClusterPartitionUtil,
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)
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device_meshes = []
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for cluster in clusters:
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n = cluster[0]
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m = cluster[1]
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device_mesh = ClusterPartitionUtil.partition_cluster(n, m)
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device_meshes.append(device_mesh)
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if __name__ == "__main__":
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unittest.main()
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