PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
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# Copyright (c) 2024 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 ..pir import Value
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_already_patch_value_in_dist = False
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def monkey_patch_value_in_dist():
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def dist_attr(self):
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dist_type = self.type().as_dist_type()
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if dist_type is not None:
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return dist_type.dist_attr()
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return None
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@property
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def placements(self):
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dist_type = self.type().as_dist_type()
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if dist_type is not None:
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return dist_type.dist_attr().placements
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return None
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value_methods = [
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('dist_attr', dist_attr),
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('placements', placements),
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]
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global _already_patch_value_in_dist
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if not _already_patch_value_in_dist:
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for method in value_methods:
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method_name = method[0]
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method_impl = method[1]
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setattr(Value, method_name, method_impl)
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_already_patch_value_in_dist = True
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