50 lines
1.6 KiB
Python
50 lines
1.6 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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import unittest
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import paddle
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class TestProcessGroupFp32(unittest.TestCase):
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def setUp(self):
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self.config()
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self._in_pir_mode = paddle.base.framework.get_flags(
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"FLAGS_enable_pir_api"
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)["FLAGS_enable_pir_api"]
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def config(self):
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pass
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def test_init_process_group(self):
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paddle.distributed.init_parallel_env()
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paddle.distributed.new_group()
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group = paddle.distributed.new_group([-1, -2])
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assert group.process_group is None
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group = paddle.distributed.collective.Group(-1, 2, 0, [-1, -2])
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ret = paddle.distributed.barrier(group)
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assert ret is None
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if not self._in_pir_mode:
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paddle.enable_static()
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in_tensor = paddle.empty((1, 2))
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in_tensor2 = paddle.empty((1, 2))
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paddle.distributed.broadcast(in_tensor, src=0)
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paddle.distributed.all_gather([in_tensor, in_tensor2], in_tensor)
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print("test ok\n")
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if __name__ == "__main__":
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unittest.main()
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