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Add CUDA-specific std::complex<T> specializations for scalar_sum_op, scalar_difference_op, scalar_product_op, and scalar_quotient_op.
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80
Eigen/src/Core/arch/CUDA/Complex.h
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80
Eigen/src/Core/arch/CUDA/Complex.h
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// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// Copyright (C) 2014 Benoit Steiner <benoit.steiner.goog@gmail.com>
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//
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// This Source Code Form is subject to the terms of the Mozilla
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// Public License v. 2.0. If a copy of the MPL was not distributed
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// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
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#ifndef EIGEN_COMPLEX_CUDA_H
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#define EIGEN_COMPLEX_CUDA_H
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// clang-format off
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namespace Eigen {
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namespace internal {
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#if defined(__CUDACC__) && defined(EIGEN_USE_GPU)
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// Many std::complex methods such as operator+, operator-, operator* and
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// operator/ are not constexpr. Due to this, clang does not treat them as device
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// functions and thus Eigen functors making use of these operators fail to
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// compile. Here, we manually specialize these functors for complex types when
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// building for CUDA to avoid non-constexpr methods.
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template<typename T> struct scalar_sum_op<std::complex<T>> {
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EIGEN_EMPTY_STRUCT_CTOR(scalar_sum_op)
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const std::complex<T> operator() (const std::complex<T>& a, const std::complex<T>& b) const {
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return std::complex<T>(numext::real(a) + numext::real(b),
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numext::imag(a) + numext::imag(b));
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}
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};
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template<typename T> struct scalar_difference_op<std::complex<T>> {
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EIGEN_EMPTY_STRUCT_CTOR(scalar_difference_op)
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const std::complex<T> operator() (const std::complex<T>& a, const std::complex<T>& b) const {
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return std::complex<T>(numext::real(a) - numext::real(b),
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numext::imag(a) - numext::imag(b));
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}
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};
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template<typename T> struct scalar_product_op<std::complex<T>, std::complex<T>> {
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enum {
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Vectorizable = packet_traits<std::complex<T>>::HasMul
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};
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EIGEN_EMPTY_STRUCT_CTOR(scalar_product_op)
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const std::complex<T> operator() (const std::complex<T>& a, const std::complex<T>& b) const {
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const T a_real = numext::real(a);
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const T a_imag = numext::imag(a);
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const T b_real = numext::real(b);
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const T b_imag = numext::imag(b);
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return std::complex<T>(a_real * b_real - a_imag * b_imag,
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a_real * b_imag + a_imag * b_real);
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}
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};
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template<typename T> struct scalar_quotient_op<std::complex<T>, std::complex<T>> {
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enum {
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Vectorizable = packet_traits<std::complex<T>>::HasDiv
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};
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EIGEN_EMPTY_STRUCT_CTOR(scalar_quotient_op)
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const std::complex<T> operator() (const std::complex<T>& a, const std::complex<T>& b) const {
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const T a_real = numext::real(a);
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const T a_imag = numext::imag(a);
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const T b_real = numext::real(b);
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const T b_imag = numext::imag(b);
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const T norm = T(1) / (b_real * b_real + b_imag * b_imag);
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return std::complex<T>((a_real * b_real + a_imag * b_imag) * norm,
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(a_imag * b_real - a_real * b_imag) * norm);
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}
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};
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#endif
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} // end namespace internal
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} // end namespace Eigen
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#endif // EIGEN_COMPLEX_CUDA_H
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