wehub-resource-sync
49 lines
1.5 KiB
Python
49 lines
1.5 KiB
Python
# Copyright (c) 2022 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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from test_collective_multi_nodes import (
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TestCollectiveAPIRunnerBase,
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runtime_main,
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)
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class TestDygrapgHybridDP(TestCollectiveAPIRunnerBase):
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def __init__(self):
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pass
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def check_pass(self, *args, **kwargs):
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from common import init_parallel_env
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import paddle
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hcg = init_parallel_env("DP16-MP1-PP1-SH1-O1", 2)
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import numpy as np
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dp_group = hcg.get_data_parallel_group()
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np.random.seed(1024)
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data = np.random.random((10 * dp_group.nranks, 100)).reshape(
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(dp_group.nranks, -1, 100)
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)
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data_part = paddle.to_tensor(data[dp_group.rank])
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paddle.distributed.collective.all_reduce(data_part)
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data_reduced = data_part
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data_sumed = np.sum(data, axis=0)
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np.testing.assert_allclose(
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data_sumed, data_reduced.numpy(), rtol=1e-8, atol=1e-8
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)
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if __name__ == "__main__":
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runtime_main(TestDygrapgHybridDP, "dp")
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