Added polygamma function.
diff --git a/Eigen/src/Core/GenericPacketMath.h b/Eigen/src/Core/GenericPacketMath.h
index 988fc9c..6ff61c1 100644
--- a/Eigen/src/Core/GenericPacketMath.h
+++ b/Eigen/src/Core/GenericPacketMath.h
@@ -77,6 +77,7 @@
HasLGamma = 0,
HasDiGamma = 0,
HasZeta = 0,
+ HasPolygamma = 0,
HasErf = 0,
HasErfc = 0,
HasIGamma = 0,
@@ -456,6 +457,10 @@
template<typename Packet> EIGEN_DECLARE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS
Packet pzeta(const Packet& x, const Packet& q) { using numext::zeta; return zeta(x, q); }
+/** \internal \returns the polygamma function (coeff-wise) */
+template<typename Packet> EIGEN_DECLARE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS
+Packet ppolygamma(const Packet& n, const Packet& x) { using numext::polygamma; return polygamma(n, x); }
+
/** \internal \returns the erf(\a a) (coeff-wise) */
template<typename Packet> EIGEN_DECLARE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS
Packet perf(const Packet& a) { using numext::erf; return erf(a); }
diff --git a/Eigen/src/Core/GlobalFunctions.h b/Eigen/src/Core/GlobalFunctions.h
index a013cca..05ba6dd 100644
--- a/Eigen/src/Core/GlobalFunctions.h
+++ b/Eigen/src/Core/GlobalFunctions.h
@@ -52,6 +52,7 @@
EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(lgamma,scalar_lgamma_op)
EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(digamma,scalar_digamma_op)
EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(zeta,scalar_zeta_op)
+ EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(polygamma,scalar_polygamma_op)
EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(erf,scalar_erf_op)
EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(erfc,scalar_erfc_op)
EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(exp,scalar_exp_op)
diff --git a/Eigen/src/Core/SpecialFunctions.h b/Eigen/src/Core/SpecialFunctions.h
index 4240ebf..02ac7cf 100644
--- a/Eigen/src/Core/SpecialFunctions.h
+++ b/Eigen/src/Core/SpecialFunctions.h
@@ -736,7 +736,7 @@
template <typename Scalar>
struct zeta_impl {
EIGEN_DEVICE_FUNC
- static Scalar run(Scalar x) {
+ static Scalar run(Scalar x, Scalar q) {
EIGEN_STATIC_ASSERT((internal::is_same<Scalar, Scalar>::value == false),
THIS_TYPE_IS_NOT_SUPPORTED);
return Scalar(0);
@@ -905,6 +905,50 @@
#endif // EIGEN_HAS_C99_MATH
+/****************************************************************************
+ * Implementation of polygamma function *
+ ****************************************************************************/
+
+template <typename Scalar>
+struct polygamma_retval {
+ typedef Scalar type;
+};
+
+#ifndef EIGEN_HAS_C99_MATH
+
+template <typename Scalar>
+struct polygamma_impl {
+ EIGEN_DEVICE_FUNC
+ static Scalar run(Scalar n, Scalar x) {
+ EIGEN_STATIC_ASSERT((internal::is_same<Scalar, Scalar>::value == false),
+ THIS_TYPE_IS_NOT_SUPPORTED);
+ return Scalar(0);
+ }
+};
+
+#else
+
+template <typename Scalar>
+struct polygamma_impl {
+ EIGEN_DEVICE_FUNC
+ static Scalar run(Scalar n, Scalar x) {
+ Scalar zero = 0.0, one = 1.0;
+ Scalar nplus = n + one;
+
+ // Just return the digamma function for n = 1
+ if (n == zero) {
+ return digamma_impl<Scalar>::run(x);
+ }
+ // Use the same implementation as scipy
+ else {
+ Scalar factorial = numext::exp(lgamma_impl<Scalar>::run(nplus));
+ return numext::pow(-one, nplus) * factorial * zeta_impl<Scalar>::run(nplus, x);
+ }
+ }
+};
+
+#endif // EIGEN_HAS_C99_MATH
+
} // end namespace internal
namespace numext {
@@ -928,6 +972,12 @@
}
template <typename Scalar>
+EIGEN_DEVICE_FUNC inline EIGEN_MATHFUNC_RETVAL(polygamma, Scalar)
+polygamma(const Scalar& n, const Scalar& x) {
+ return EIGEN_MATHFUNC_IMPL(polygamma, Scalar)::run(n, x);
+}
+
+template <typename Scalar>
EIGEN_DEVICE_FUNC inline EIGEN_MATHFUNC_RETVAL(erf, Scalar)
erf(const Scalar& x) {
return EIGEN_MATHFUNC_IMPL(erf, Scalar)::run(x);
diff --git a/Eigen/src/Core/arch/CUDA/MathFunctions.h b/Eigen/src/Core/arch/CUDA/MathFunctions.h
index 8587755..317499b 100644
--- a/Eigen/src/Core/arch/CUDA/MathFunctions.h
+++ b/Eigen/src/Core/arch/CUDA/MathFunctions.h
@@ -93,17 +93,31 @@
}
template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
-float4 pzeta<float4>(const float4& a)
+float4 pzeta<float4>(const float4& x, const float4& q)
{
using numext::zeta;
- return make_float4(zeta(a.x), zeta(a.y), zeta(a.z), zeta(a.w));
+ 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<double2>(const double2& a)
+double2 pzeta<double2>(const double2& x, const double2& q)
{
using numext::zeta;
- return make_double2(zeta(a.x), zeta(a.y));
+ return make_double2(zeta(x.x, q.x), zeta(x.y, q.y));
+}
+
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+float4 ppolygamma<float4>(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<double2>(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
diff --git a/Eigen/src/Core/arch/CUDA/PacketMath.h b/Eigen/src/Core/arch/CUDA/PacketMath.h
index e0db18f..932df10 100644
--- a/Eigen/src/Core/arch/CUDA/PacketMath.h
+++ b/Eigen/src/Core/arch/CUDA/PacketMath.h
@@ -41,6 +41,7 @@
HasLGamma = 1,
HasDiGamma = 1,
HasZeta = 1,
+ HasPolygamma = 1,
HasErf = 1,
HasErfc = 1,
HasIgamma = 1,
diff --git a/Eigen/src/Core/functors/UnaryFunctors.h b/Eigen/src/Core/functors/UnaryFunctors.h
index e2fb8d8..826d84f 100644
--- a/Eigen/src/Core/functors/UnaryFunctors.h
+++ b/Eigen/src/Core/functors/UnaryFunctors.h
@@ -472,6 +472,28 @@
};
/** \internal
+ * \brief Template functor to compute the polygamma function.
+ * \sa class CwiseUnaryOp, Cwise::polygamma()
+ */
+template<typename Scalar> struct scalar_polygamma_op {
+ EIGEN_EMPTY_STRUCT_CTOR(scalar_polygamma_op)
+ EIGEN_DEVICE_FUNC inline const Scalar operator() (const Scalar& n, const Scalar& x) const {
+ using numext::polygamma; return polygamma(n, x);
+ }
+ typedef typename packet_traits<Scalar>::type Packet;
+ EIGEN_DEVICE_FUNC inline Packet packetOp(const Packet& n, const Packet& x) const { return internal::ppolygamma(n, x); }
+};
+template<typename Scalar>
+struct functor_traits<scalar_polygamma_op<Scalar> >
+{
+ enum {
+ // Guesstimate
+ Cost = 10 * NumTraits<Scalar>::MulCost + 5 * NumTraits<Scalar>::AddCost,
+ PacketAccess = packet_traits<Scalar>::HasPolygamma
+ };
+};
+
+/** \internal
* \brief Template functor to compute the Gauss error function of a
* scalar
* \sa class CwiseUnaryOp, Cwise::erf()
