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Move implementation of vectorized error function erf() to SpecialFunctionsImpl.h.
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@@ -279,13 +279,63 @@ struct digamma_impl {
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* Implementation of erf, requires C++11/C99 *
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****************************************************************************/
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template <typename Scalar>
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/** \internal \returns the error function of \a a (coeff-wise)
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Doesn't do anything fancy, just a 13/8-degree rational interpolant which
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is accurate up to a couple of ulp in the range [-4, 4], outside of which
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fl(erf(x)) = +/-1.
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This implementation works on both scalars and Ts.
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*/
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template <typename T>
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE T generic_fast_erf_float(const T& a_x) {
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// Clamp the inputs to the range [-4, 4] since anything outside
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// this range is +/-1.0f in single-precision.
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const T plus_4 = pset1<T>(4.f);
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const T minus_4 = pset1<T>(-4.f);
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const T x = pmax(pmin(a_x, plus_4), minus_4);
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// The monomial coefficients of the numerator polynomial (odd).
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const T alpha_1 = pset1<T>(-1.60960333262415e-02f);
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const T alpha_3 = pset1<T>(-2.95459980854025e-03f);
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const T alpha_5 = pset1<T>(-7.34990630326855e-04f);
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const T alpha_7 = pset1<T>(-5.69250639462346e-05f);
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const T alpha_9 = pset1<T>(-2.10102402082508e-06f);
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const T alpha_11 = pset1<T>(2.77068142495902e-08f);
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const T alpha_13 = pset1<T>(-2.72614225801306e-10f);
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// The monomial coefficients of the denominator polynomial (even).
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const T beta_0 = pset1<T>(-1.42647390514189e-02f);
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const T beta_2 = pset1<T>(-7.37332916720468e-03f);
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const T beta_4 = pset1<T>(-1.68282697438203e-03f);
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const T beta_6 = pset1<T>(-2.13374055278905e-04f);
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const T beta_8 = pset1<T>(-1.45660718464996e-05f);
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// Since the polynomials are odd/even, we need x^2.
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const T x2 = pmul(x, x);
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// Evaluate the numerator polynomial p.
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T p = pmadd(x2, alpha_13, alpha_11);
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p = pmadd(x2, p, alpha_9);
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p = pmadd(x2, p, alpha_7);
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p = pmadd(x2, p, alpha_5);
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p = pmadd(x2, p, alpha_3);
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p = pmadd(x2, p, alpha_1);
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p = pmul(x, p);
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// Evaluate the denominator polynomial p.
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T q = pmadd(x2, beta_8, beta_6);
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q = pmadd(x2, q, beta_4);
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q = pmadd(x2, q, beta_2);
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q = pmadd(x2, q, beta_0);
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// Divide the numerator by the denominator.
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return pdiv(p, q);
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}
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template <typename T>
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struct erf_impl {
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EIGEN_DEVICE_FUNC
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static EIGEN_STRONG_INLINE Scalar run(const Scalar) {
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EIGEN_STATIC_ASSERT((internal::is_same<Scalar, Scalar>::value == false),
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THIS_TYPE_IS_NOT_SUPPORTED);
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return Scalar(0);
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static EIGEN_STRONG_INLINE T run(const T x) {
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return generic_fast_erf_float(x);
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}
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};
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@@ -302,7 +352,7 @@ struct erf_impl<float> {
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#if defined(SYCL_DEVICE_ONLY)
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return cl::sycl::erf(x);
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#else
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return ::erff(x);
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return generic_fast_erf_float(x);
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#endif
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}
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};
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@@ -1892,6 +1942,12 @@ polygamma(const Scalar& n, const Scalar& x) {
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return EIGEN_MATHFUNC_IMPL(polygamma, Scalar)::run(n, x);
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}
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template <typename Scalar>
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EIGEN_DEVICE_FUNC inline EIGEN_MATHFUNC_RETVAL(erf, Scalar)
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erf(const Scalar& x) {
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return EIGEN_MATHFUNC_IMPL(erf, Scalar)::run(x);
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}
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template <typename Scalar>
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EIGEN_DEVICE_FUNC inline EIGEN_MATHFUNC_RETVAL(erfc, Scalar)
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erfc(const Scalar& x) {
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@@ -30,6 +30,10 @@ Packet pzeta(const Packet& x, const Packet& q) { using numext::zeta; return zeta
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template<typename Packet> EIGEN_DECLARE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS
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Packet ppolygamma(const Packet& n, const Packet& x) { using numext::polygamma; return polygamma(n, x); }
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/** \internal \returns the erf(\a a) (coeff-wise) */
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template<typename Packet> EIGEN_DECLARE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS
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Packet perf(const Packet& a) { using numext::erf; return erf(a); }
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/** \internal \returns the erfc(\a a) (coeff-wise) */
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template<typename Packet> EIGEN_DECLARE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS
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Packet perfc(const Packet& a) { using numext::erfc; return erfc(a); }
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