SIGN IN SIGN UP
PaddlePaddle / Paddle UNCLAIMED

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)

0 0 0 C++
# Copyright (c) 2025 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 paddle.tensor import magic_method_func
from ..base.dygraph.generated_tensor_methods_patch import methods_map
from . import Value
def monkey_patch_generated_methods_for_value():
magic_method_dict = {v: k for k, v in magic_method_func}
for method_name, method in methods_map:
setattr(Value, method_name, method)
magic_name = magic_method_dict.get(method_name)
if magic_name:
setattr(Value, magic_name, method)