add resnet nccl2 dist training, mp training unit test (#16167)
* add resnet nccl2 test=develop * test dist train test=develop * update test=develop * increase timeout test=develop * test on CI env test=developrevert-16190-refine_parallel_executor
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# Copyright (c) 2018 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 __future__ import print_function
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import unittest
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from test_dist_base import TestDistBase
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import os
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def skip_ci(func):
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on_ci = bool(int(os.environ.get("SKIP_UNSTABLE_CI", '0')))
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def __func__(*args, **kwargs):
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if on_ci:
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return
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return func(*args, **kwargs)
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return __func__
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class TestDistSeResneXtNCCL(TestDistBase):
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def _setup_config(self):
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self._sync_mode = True
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self._use_reader_alloc = False
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self._nccl2_mode = True
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@skip_ci
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def test_dist_train(self):
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import paddle.fluid as fluid
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if fluid.core.is_compiled_with_cuda():
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self.check_with_place("dist_se_resnext.py", delta=1e-5)
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class TestDistSeResneXtNCCLMP(TestDistBase):
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def _setup_config(self):
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self._sync_mode = True
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self._use_reader_alloc = False
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self._nccl2_mode = True
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self._mp_mode = True
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@skip_ci
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def test_dist_train(self):
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import paddle.fluid as fluid
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if fluid.core.is_compiled_with_cuda():
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self.check_with_place(
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"dist_se_resnext.py",
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delta=1e-5,
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need_envs={"NCCL_P2P_DISABLE": "1"})
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if __name__ == "__main__":
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unittest.main()
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