chore: import upstream snapshot with attribution
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# 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 os
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import unittest
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from legacy_test.test_dist_base import TestDistBase
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import paddle
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paddle.enable_static()
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flag_name = os.path.splitext(__file__)[0]
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class TestStaticModelParallel(TestDistBase):
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def _setup_config(self):
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self._sync_mode = True
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self._use_reduce = False
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self._use_reader_alloc = False
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self._nccl_comm_num = 1
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self._pipeline_mode = True
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def test_dist_static_model_parallel(self):
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from paddle import base
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if base.core.is_compiled_with_cuda():
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self.check_with_place(
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"static_model_parallel_by_row.py",
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delta=1e-5,
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check_error_log=True,
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log_name=flag_name,
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)
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def test_dist_static_model_parallel2(self):
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from paddle import base
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if base.core.is_compiled_with_cuda():
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self.check_with_place(
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"static_model_parallel_by_col.py",
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delta=1e-5,
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check_error_log=True,
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log_name=flag_name,
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)
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if __name__ == '__main__':
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unittest.main()
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