Paddle/python/paddle/incubate/complex/tensor_op_patch.py

# 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 __future__ import division
from ...fluid import framework
from . import tensor


def monkey_patch_math_complex():
    # complexVariable do not support scaler type now, so here not contains
    # reverse methods, such as "__radd__", "__rsub__", "__rmul__", "__rdiv__",
    # "__rtruediv__", "__rmatmul__".
    complex_methods = [
        ('__add__', _binary_creator_('__add__', "elementwise_add", False)),
        ('__sub__', _binary_creator_('__sub__', "elementwise_sub", False)),
        ('__mul__', _binary_creator_('__mul__', "elementwise_mul", False)),
        ('__div__', _binary_creator_('__div__', "elementwise_div", False)),
        ('__truediv__', _binary_creator_('__truediv__', "elementwise_div",
                                         False)),
        ('__matmul__', _binary_creator_('__matmul__', "matmul", False)),
    ]

    for method in complex_methods:
        method_name = method[0]
        method_impl = method[1]
        if method_impl:
            setattr(framework.ComplexVariable, method_name, method_impl)

    for method in tensor.__all__:
        method_impl = getattr(tensor, method)
        if method_impl:
            setattr(framework.ComplexVariable, method, method_impl)


# for binary operator such as elementwise
def _binary_creator_(method_name, op_type, reverse=False):
    def __impl__(self, other_var):
        math_op = getattr(tensor, op_type)
        return math_op(self, other_var)

    __impl__.__name__ = method_name
    return __impl__