42 lines
1.4 KiB
Python
Executable File
42 lines
1.4 KiB
Python
Executable File
# Copyright (c) 2020 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 ..meta_optimizers import * # noqa: F403
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__all__ = []
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meta_optimizer_names = list(
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filter(lambda name: name.endswith("Optimizer"), dir())
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)
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# Because HybridParallelOptimizer is dygraph optimizer, it
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# should be removed
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meta_optimizer_names.remove("HybridParallelOptimizer")
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meta_optimizer_names.remove("HeterParallelOptimizer")
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meta_optimizer_names.remove("DGCMomentumOptimizer")
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meta_optimizer_names.remove("MuonShardingOptimizer")
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class MetaOptimizerFactory:
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def __init__(self):
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pass
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def _get_valid_meta_optimizers(self, user_defined_optimizer, skip_names=[]):
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opt_list = []
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for opt_name in meta_optimizer_names:
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if opt_name in skip_names:
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continue
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opt_list.append(globals()[opt_name](user_defined_optimizer))
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return opt_list
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