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2026-07-13 12:40:42 +08:00

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# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from ..meta_optimizers import * # noqa: F403
__all__ = []
meta_optimizer_names = list(
filter(lambda name: name.endswith("Optimizer"), dir())
)
# Because HybridParallelOptimizer is dygraph optimizer, it
# should be removed
meta_optimizer_names.remove("HybridParallelOptimizer")
meta_optimizer_names.remove("HeterParallelOptimizer")
meta_optimizer_names.remove("DGCMomentumOptimizer")
meta_optimizer_names.remove("MuonShardingOptimizer")
class MetaOptimizerFactory:
def __init__(self):
pass
def _get_valid_meta_optimizers(self, user_defined_optimizer, skip_names=[]):
opt_list = []
for opt_name in meta_optimizer_names:
if opt_name in skip_names:
continue
opt_list.append(globals()[opt_name](user_defined_optimizer))
return opt_list