wehub-resource-sync
62 lines
2.0 KiB
Python
62 lines
2.0 KiB
Python
# Copyright (c) 2025 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 numpy as np
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import paddle
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import paddle.distributed as dist
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class TestShutdownProcessGroupAPI:
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def __init__(self):
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dist.init_parallel_env()
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if dist.get_rank() == 0:
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self.data = paddle.to_tensor([[7, 8, 9], [10, 11, 12]])
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else:
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self.data = paddle.to_tensor([[1, 2, 3], [4, 5, 6]])
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def test_shutdown_and_recreate_all(self):
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pg = paddle.distributed.new_group([0, 1])
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result_base = self.data.clone()
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dist.all_reduce(result_base, group=pg)
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paddle.distributed.shutdown_process_group()
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paddle.distributed.restart_process_group()
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result_test = self.data.clone()
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dist.all_reduce(result_test, group=pg)
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np.testing.assert_array_equal(result_base.numpy(), result_test.numpy())
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def test_shutdown_and_recreate_single(self):
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pg = paddle.distributed.new_group([0, 1])
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result_base = self.data.clone()
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dist.all_reduce(result_base, group=pg)
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paddle.distributed.shutdown_process_group(pg)
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paddle.distributed.restart_process_group(pg)
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result_test = self.data.clone()
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dist.all_reduce(result_test, group=pg)
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np.testing.assert_array_equal(result_base.numpy(), result_test.numpy())
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if __name__ == "__main__":
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test_case = TestShutdownProcessGroupAPI()
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test_case.test_shutdown_and_recreate_all()
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test_case.test_shutdown_and_recreate_single()
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