chore: import upstream snapshot with attribution
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# Copyright (c) 2025 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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# The file has been adapted from pytorch project
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# Licensed under BSD-style license -
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# https://github.com/pytorch/pytorch/blob/main/LICENSE
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from __future__ import annotations
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import types
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from typing import Any
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import paddle
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from ._ops import import_module, load_library
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PADDLE_CLASSES_MODULE_NAME = "paddle.classes"
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class ClassesNameSpace(types.ModuleType):
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def __init__(self, name: str):
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super().__init__(f"{PADDLE_CLASSES_MODULE_NAME}.{name}")
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self.name = name
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def __getattr__(self, name: str) -> Any:
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if name == "__file__":
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return PADDLE_CLASSES_MODULE_NAME # type: ignore
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return paddle.base.core.torch_compat._get_custom_class_python_wrapper(
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self.name, name
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)
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class PaddleClassesModule(types.ModuleType):
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__file__ = "_classes.py"
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def __init__(self):
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super().__init__(PADDLE_CLASSES_MODULE_NAME)
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def __getattr__(self, name: str):
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namespace = ClassesNameSpace(name)
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# Insert to __dict__ to avoid repeatedly __getattr__ overhead
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setattr(self, name, namespace)
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return namespace
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def import_module(self, module):
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return import_module(module)
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def load_library(self, path):
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return load_library(path)
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classes = PaddleClassesModule()
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