/* Copyright (c) 2021 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. */ #pragma once #include "paddle/phi/common/complex.h" #include "paddle/phi/common/float16.h" #include "paddle/phi/core/enforce.h" #include "paddle/phi/core/hostdevice.h" namespace phi { namespace funcs { // Define the binary functors used in elementwise ops. // Note: InverseXxxFunctor is needed when calling ElementwiseComputeEx on CPU. // Add template struct AddFunctor { inline HOSTDEVICE T operator()(const T a, const T b) const { return a + b; } }; template struct InverseAddFunctor { inline HOSTDEVICE T operator()(const T a, const T b) const { return b + a; } }; // Subtract template struct SubtractFunctor { inline HOSTDEVICE T operator()(const T a, const T b) const { return a - b; } }; template struct InverseSubtractFunctor { inline HOSTDEVICE T operator()(const T a, const T b) const { return b - a; } }; // Multiply template struct MultiplyFunctor { inline HOSTDEVICE T operator()(const T a, const T b) const { return a * b; } }; template <> struct MultiplyFunctor { inline HOSTDEVICE bool operator()(const bool a, const bool b) const { return a && b; } }; template struct InverseMultiplyFunctor { inline HOSTDEVICE T operator()(const T a, const T b) const { return b * a; } }; template <> struct InverseMultiplyFunctor { inline HOSTDEVICE bool operator()(const bool a, const bool b) const { return b && a; } }; // Divide #define DIV_ERROR_INFO \ "InvalidArgumentError: Integer division by zero encountered in " \ "(floor) divide. Please check the input value." template struct DivideFunctor { inline HOSTDEVICE T operator()(const T a, const T b) const { return a / b; } }; template struct DivideFunctor< T, typename std::enable_if::value>::type> { inline HOSTDEVICE T operator()(const T a, const T b) const { // For int32/int64, need to check whether the divison is zero. PADDLE_ENFORCE(b != 0, DIV_ERROR_INFO); return a / b; } }; template struct InverseDivideFunctor { inline HOSTDEVICE T operator()(const T a, const T b) const { return b / a; } }; template using ComplexType = phi::dtype::complex; template struct DivGradXYFunctor { inline HOSTDEVICE phi::Array operator()(const InT a, const InT b, const InT c) { // dx = dout / y // dy = - dout * out / y phi::Array outs; outs[0] = a / c; outs[1] = -a * b / c; return outs; } }; template struct DivGradXYFunctor, ComplexType> { inline HOSTDEVICE phi::Array, 2> operator()( const ComplexType a, const ComplexType b, const ComplexType c) { phi::Array, 2> outs; ComplexType c_conj(c.real, -c.imag); ComplexType out_div_c_conj((b / c).real, -(b / c).imag); outs[0] = a / c_conj; outs[1] = -a * out_div_c_conj; return outs; } }; // Float div grad template struct DivGradXFunctor { inline HOSTDEVICE T operator()(const T a, const T b) const { return a / b; } }; // ComplexType div grad template struct DivGradXFunctor> { inline HOSTDEVICE ComplexType operator()(const ComplexType a, const ComplexType b) const { ComplexType b_conj(b.real, -b.imag); return a / b_conj; } }; // Float mul and div template struct DivGradYFunctor { inline HOSTDEVICE T operator()(const T a, const T b, const T c) const { return -a * b / c; } }; // ComplexType mul and div template struct DivGradYFunctor> { inline HOSTDEVICE ComplexType operator()(const ComplexType a, const ComplexType b, const ComplexType c) const { ComplexType out_div_c_conj((b / c).real, -(b / c).imag); return -a * out_div_c_conj; } }; } // namespace funcs } // namespace phi