// This file is part of Eigen, a lightweight C++ template library // for linear algebra. // // Copyright (C) 2014 Benoit Steiner // // This Source Code Form is subject to the terms of the Mozilla // Public License v. 2.0. If a copy of the MPL was not distributed // with this file, You can obtain one at http://mozilla.org/MPL/2.0/. #ifndef EIGEN_CUDA_SPECIALFUNCTIONS_H #define EIGEN_CUDA_SPECIALFUNCTIONS_H namespace Eigen { namespace internal { // Make sure this is only available when targeting a GPU: we don't want to // introduce conflicts between these packet_traits definitions and the ones // we'll use on the host side (SSE, AVX, ...) #if defined(__CUDACC__) && defined(EIGEN_USE_GPU) template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE float4 plgamma(const float4& a) { return make_float4(lgammaf(a.x), lgammaf(a.y), lgammaf(a.z), lgammaf(a.w)); } template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE double2 plgamma(const double2& a) { using numext::lgamma; return make_double2(lgamma(a.x), lgamma(a.y)); } template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE float4 pdigamma(const float4& a) { using numext::digamma; return make_float4(digamma(a.x), digamma(a.y), digamma(a.z), digamma(a.w)); } template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE double2 pdigamma(const double2& a) { using numext::digamma; return make_double2(digamma(a.x), digamma(a.y)); } template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE float4 pzeta(const float4& x, const float4& q) { using numext::zeta; return make_float4(zeta(x.x, q.x), zeta(x.y, q.y), zeta(x.z, q.z), zeta(x.w, q.w)); } template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE double2 pzeta(const double2& x, const double2& q) { using numext::zeta; return make_double2(zeta(x.x, q.x), zeta(x.y, q.y)); } template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE float4 ppolygamma(const float4& n, const float4& x) { using numext::polygamma; return make_float4(polygamma(n.x, x.x), polygamma(n.y, x.y), polygamma(n.z, x.z), polygamma(n.w, x.w)); } template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE double2 ppolygamma(const double2& n, const double2& x) { using numext::polygamma; return make_double2(polygamma(n.x, x.x), polygamma(n.y, x.y)); } template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE float4 perf(const float4& a) { return make_float4(erff(a.x), erff(a.y), erff(a.z), erff(a.w)); } template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE double2 perf(const double2& a) { using numext::erf; return make_double2(erf(a.x), erf(a.y)); } template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE float4 perfc(const float4& a) { using numext::erfc; return make_float4(erfc(a.x), erfc(a.y), erfc(a.z), erfc(a.w)); } template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE double2 perfc(const double2& a) { using numext::erfc; return make_double2(erfc(a.x), erfc(a.y)); } template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE float4 pigamma(const float4& a, const float4& x) { using numext::igamma; return make_float4( igamma(a.x, x.x), igamma(a.y, x.y), igamma(a.z, x.z), igamma(a.w, x.w)); } template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE double2 pigamma(const double2& a, const double2& x) { using numext::igamma; return make_double2(igamma(a.x, x.x), igamma(a.y, x.y)); } template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE float4 pigammac(const float4& a, const float4& x) { using numext::igammac; return make_float4( igammac(a.x, x.x), igammac(a.y, x.y), igammac(a.z, x.z), igammac(a.w, x.w)); } template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE double2 pigammac(const double2& a, const double2& x) { using numext::igammac; return make_double2(igammac(a.x, x.x), igammac(a.y, x.y)); } template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE float4 pbetainc(const float4& a, const float4& b, const float4& x) { using numext::betainc; return make_float4( betainc(a.x, b.x, x.x), betainc(a.y, b.y, x.y), betainc(a.z, b.z, x.z), betainc(a.w, b.w, x.w)); } template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE double2 pbetainc(const double2& a, const double2& b, const double2& x) { using numext::betainc; return make_double2(betainc(a.x, b.x, x.x), betainc(a.y, b.y, x.y)); } #endif } // end namespace internal } // end namespace Eigen #endif // EIGEN_CUDA_SPECIALFUNCTIONS_H