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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from paddle.tensor import magic_method_func
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from ..base.dygraph.generated_tensor_methods_patch import _all_method_op_map
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from . import Value
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def monkey_patch_generated_methods_for_value():
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magic_method_dict = {v: k for k, v in magic_method_func}
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for module_path, method_name, method in _all_method_op_map:
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if module_path != 'paddle.Tensor':
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continue
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setattr(Value, method_name, method)
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magic_name = magic_method_dict.get(method_name)
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if magic_name:
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setattr(Value, magic_name, method)
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