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2026-07-13 12:40:42 +08:00

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Python

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