wehub-resource-sync
93 lines
3.2 KiB
Python
93 lines
3.2 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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import paddle.distributed as dist
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from paddle.distributed.fleet.base.orthogonal_strategy import OrthogonalStrategy
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from paddle.distributed.fleet.base.strategy_group import (
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DPGroup,
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MPGroup,
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PPGroup,
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ShardingGroup,
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)
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class TestOrthogonalStrategyAPI(unittest.TestCase):
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def setUp(self):
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self._num_of_ranks = 2
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dist.init_parallel_env()
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self._global_rank = dist.get_rank()
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self._strategy = OrthogonalStrategy(
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[
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("dp", 2, DPGroup),
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("mp", 1, MPGroup),
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("sharding", 1, ShardingGroup),
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("pp", 1, PPGroup),
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],
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fused_strategy_dict={"checkness": ["mp", "sharding", "pp"]},
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)
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def test_orthogonal_strategy(self):
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dp_group = self._strategy.strategy_group("dp")
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self.assertEqual(dp_group.world_size, self._num_of_ranks)
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self.assertEqual(dp_group.group.nranks, self._num_of_ranks)
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self.assertEqual(
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self._strategy.rank_in_strategy("dp"), self._global_rank
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)
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fused_group = self._strategy.fused_strategy_group("checkness")
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self.assertEqual(fused_group.world_size, 1)
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self.assertEqual(fused_group.group.nranks, 1)
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class TestOrthogonalStrategyCustomAPI(unittest.TestCase):
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def setUp(self):
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self._num_of_ranks = 2
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dist.init_parallel_env()
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self._global_rank = dist.get_rank()
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self._strategy = OrthogonalStrategy(
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[
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("dp", 1, DPGroup),
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("mp", 2, MPGroup),
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("sharding", 1, ShardingGroup),
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("pp", 1, PPGroup),
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],
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fused_strategy_dict={"checkness": ["mp", "sharding", "pp"]},
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strategy_rank_list=[1, 0],
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)
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self._strategy.strategy_group("mp").add_random_seed("local_seed", 123)
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self._strategy.strategy_group("mp").add_random_seed("global_seed", 321)
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def test_orthogonal_strategy(self):
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mp_group = self._strategy.strategy_group("mp")
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self.assertEqual(mp_group.world_size, self._num_of_ranks)
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self.assertEqual(mp_group.group.nranks, self._num_of_ranks)
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self.assertEqual(
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self._strategy.rank_in_strategy("mp"), self._global_rank
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)
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fused_group = self._strategy.fused_strategy_group("checkness")
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self.assertEqual(fused_group.world_size, 2)
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self.assertEqual(fused_group.group.nranks, 2)
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with mp_group.random_states_tracker.rng_state("local_seed"):
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a = paddle.randint(0, 100, [10]).numpy()[0]
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if __name__ == '__main__':
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unittest.main()
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