blob: 2ab1847fd9b68d8b46eeca82ec89d3c3f6f24111 [file]
// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2007 Julien Pommier
// Copyright (C) 2014 Pedro Gonnet (pedro.gonnet@gmail.com)
// Copyright (C) 2009-2019 Gael Guennebaud <gael.guennebaud@inria.fr>
// Copyright (C) 2018-2025 Rasmus Munk Larsen <rmlarsen@gmail.com>
//
// 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/.
/* The exp and log functions of this file initially come from
* Julien Pommier's sse math library: http://gruntthepeon.free.fr/ssemath/
*/
#ifndef EIGEN_ARCH_GENERIC_PACKET_MATH_FUNCTIONS_H
#define EIGEN_ARCH_GENERIC_PACKET_MATH_FUNCTIONS_H
// IWYU pragma: private
#include "../../InternalHeaderCheck.h"
#include "GenericPacketMathPolynomials.h"
#include "GenericPacketMathFrexpLdexp.h"
#include "GenericPacketMathDoubleWord.h"
namespace Eigen {
namespace internal {
//----------------------------------------------------------------------
// Exponential and Logarithmic Functions
//----------------------------------------------------------------------
// Natural or base 2 logarithm.
// Computes log(x) as log(2^e * m) = C*e + log(m), where the constant C =log(2)
// and m is in the range [sqrt(1/2),sqrt(2)). In this range, the logarithm can
// be easily approximated by a polynomial centered on m=1 for stability.
// TODO(gonnet): Further reduce the interval allowing for lower-degree
// polynomial interpolants -> ... -> profit!
template <typename Packet, bool base2>
EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS Packet plog_impl_float(const Packet _x) {
const Packet cst_1 = pset1<Packet>(1.0f);
const Packet cst_minus_inf = pset1frombits<Packet>(static_cast<Eigen::numext::uint32_t>(0xff800000u));
const Packet cst_pos_inf = pset1frombits<Packet>(static_cast<Eigen::numext::uint32_t>(0x7f800000u));
const Packet cst_cephes_SQRTHF = pset1<Packet>(0.707106781186547524f);
Packet e, x;
// extract significant in the range [0.5,1) and exponent
x = pfrexp(_x, e);
// part2: Shift the inputs from the range [0.5,1) to [sqrt(1/2),sqrt(2))
// and shift by -1. The values are then centered around 0, which improves
// the stability of the polynomial evaluation.
// if( x < SQRTHF ) {
// e -= 1;
// x = x + x - 1.0;
// } else { x = x - 1.0; }
Packet mask = pcmp_lt(x, cst_cephes_SQRTHF);
Packet tmp = pand(x, mask);
x = psub(x, cst_1);
e = psub(e, pand(cst_1, mask));
x = padd(x, tmp);
// Polynomial coefficients for rational r(x) = p(x)/q(x)
// approximating log(1+x) on [sqrt(0.5)-1;sqrt(2)-1].
constexpr float alpha[] = {0.18256296349849254f, 1.0000000190281063f, 1.0000000190281136f};
constexpr float beta[] = {0.049616247954120038f, 0.59923249590823520f, 1.4999999999999927f, 1.0f};
Packet p = ppolevl<Packet, 2>::run(x, alpha);
p = pmul(x, p);
Packet q = ppolevl<Packet, 3>::run(x, beta);
x = pdiv(p, q);
// Add the logarithm of the exponent back to the result of the interpolation.
if (base2) {
const Packet cst_log2e = pset1<Packet>(static_cast<float>(EIGEN_LOG2E));
x = pmadd(x, cst_log2e, e);
} else {
const Packet cst_ln2 = pset1<Packet>(static_cast<float>(EIGEN_LN2));
x = pmadd(e, cst_ln2, x);
}
Packet invalid_mask = pcmp_lt_or_nan(_x, pzero(_x));
Packet iszero_mask = pcmp_eq(_x, pzero(_x));
Packet pos_inf_mask = pcmp_eq(_x, cst_pos_inf);
// Filter out invalid inputs, i.e.:
// - negative arg will be NAN
// - 0 will be -INF
// - +INF will be +INF
return pselect(iszero_mask, cst_minus_inf, por(pselect(pos_inf_mask, cst_pos_inf, x), invalid_mask));
}
template <typename Packet>
EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS Packet plog_float(const Packet _x) {
return plog_impl_float<Packet, /* base2 */ false>(_x);
}
template <typename Packet>
EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS Packet plog2_float(const Packet _x) {
return plog_impl_float<Packet, /* base2 */ true>(_x);
}
/* Returns the base e (2.718...) or base 2 logarithm of x.
* The argument is separated into its exponent and fractional parts.
* The logarithm of the fraction in the interval [sqrt(1/2), sqrt(2)],
* is approximated by
*
* log(1+x) = x - 0.5 x**2 + x**3 P(x)/Q(x).
*
* for more detail see: http://www.netlib.org/cephes/
*/
template <typename Packet, bool base2>
EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS Packet plog_impl_double(const Packet _x) {
Packet x = _x;
const Packet cst_1 = pset1<Packet>(1.0);
const Packet cst_neg_half = pset1<Packet>(-0.5);
const Packet cst_minus_inf = pset1frombits<Packet>(static_cast<uint64_t>(0xfff0000000000000ull));
const Packet cst_pos_inf = pset1frombits<Packet>(static_cast<uint64_t>(0x7ff0000000000000ull));
// Polynomial Coefficients for log(1+x) = x - x**2/2 + x**3 P(x)/Q(x)
// 1/sqrt(2) <= x < sqrt(2)
const Packet cst_cephes_SQRTHF = pset1<Packet>(0.70710678118654752440E0);
const Packet cst_cephes_log_p0 = pset1<Packet>(1.01875663804580931796E-4);
const Packet cst_cephes_log_p1 = pset1<Packet>(4.97494994976747001425E-1);
const Packet cst_cephes_log_p2 = pset1<Packet>(4.70579119878881725854E0);
const Packet cst_cephes_log_p3 = pset1<Packet>(1.44989225341610930846E1);
const Packet cst_cephes_log_p4 = pset1<Packet>(1.79368678507819816313E1);
const Packet cst_cephes_log_p5 = pset1<Packet>(7.70838733755885391666E0);
const Packet cst_cephes_log_q0 = pset1<Packet>(1.0);
const Packet cst_cephes_log_q1 = pset1<Packet>(1.12873587189167450590E1);
const Packet cst_cephes_log_q2 = pset1<Packet>(4.52279145837532221105E1);
const Packet cst_cephes_log_q3 = pset1<Packet>(8.29875266912776603211E1);
const Packet cst_cephes_log_q4 = pset1<Packet>(7.11544750618563894466E1);
const Packet cst_cephes_log_q5 = pset1<Packet>(2.31251620126765340583E1);
Packet e;
// extract significant in the range [0.5,1) and exponent
x = pfrexp(x, e);
// Shift the inputs from the range [0.5,1) to [sqrt(1/2),sqrt(2))
// and shift by -1. The values are then centered around 0, which improves
// the stability of the polynomial evaluation.
// if( x < SQRTHF ) {
// e -= 1;
// x = x + x - 1.0;
// } else { x = x - 1.0; }
Packet mask = pcmp_lt(x, cst_cephes_SQRTHF);
Packet tmp = pand(x, mask);
x = psub(x, cst_1);
e = psub(e, pand(cst_1, mask));
x = padd(x, tmp);
Packet x2 = pmul(x, x);
Packet x3 = pmul(x2, x);
// Evaluate the polynomial in factored form for better instruction-level parallelism.
// y = x - 0.5*x^2 + x^3 * polevl( x, P, 5 ) / p1evl( x, Q, 5 ) );
Packet y, y1, y_;
y = pmadd(cst_cephes_log_p0, x, cst_cephes_log_p1);
y1 = pmadd(cst_cephes_log_p3, x, cst_cephes_log_p4);
y = pmadd(y, x, cst_cephes_log_p2);
y1 = pmadd(y1, x, cst_cephes_log_p5);
y_ = pmadd(y, x3, y1);
y = pmadd(cst_cephes_log_q0, x, cst_cephes_log_q1);
y1 = pmadd(cst_cephes_log_q3, x, cst_cephes_log_q4);
y = pmadd(y, x, cst_cephes_log_q2);
y1 = pmadd(y1, x, cst_cephes_log_q5);
y = pmadd(y, x3, y1);
y_ = pmul(y_, x3);
y = pdiv(y_, y);
y = pmadd(cst_neg_half, x2, y);
x = padd(x, y);
// Add the logarithm of the exponent back to the result of the interpolation.
if (base2) {
const Packet cst_log2e = pset1<Packet>(static_cast<double>(EIGEN_LOG2E));
x = pmadd(x, cst_log2e, e);
} else {
const Packet cst_ln2 = pset1<Packet>(static_cast<double>(EIGEN_LN2));
x = pmadd(e, cst_ln2, x);
}
Packet invalid_mask = pcmp_lt_or_nan(_x, pzero(_x));
Packet iszero_mask = pcmp_eq(_x, pzero(_x));
Packet pos_inf_mask = pcmp_eq(_x, cst_pos_inf);
// Filter out invalid inputs, i.e.:
// - negative arg will be NAN
// - 0 will be -INF
// - +INF will be +INF
return pselect(iszero_mask, cst_minus_inf, por(pselect(pos_inf_mask, cst_pos_inf, x), invalid_mask));
}
template <typename Packet>
EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS Packet plog_double(const Packet _x) {
return plog_impl_double<Packet, /* base2 */ false>(_x);
}
template <typename Packet>
EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS Packet plog2_double(const Packet _x) {
return plog_impl_double<Packet, /* base2 */ true>(_x);
}
/** \internal \returns log(1 + x) computed using W. Kahan's formula.
See: http://www.plunk.org/~hatch/rightway.php
*/
template <typename Packet>
EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS Packet generic_log1p(const Packet& x) {
typedef typename unpacket_traits<Packet>::type ScalarType;
const Packet one = pset1<Packet>(ScalarType(1));
Packet xp1 = padd(x, one);
Packet small_mask = pcmp_eq(xp1, one);
Packet log1 = plog(xp1);
Packet inf_mask = pcmp_eq(xp1, log1);
Packet log_large = pmul(x, pdiv(log1, psub(xp1, one)));
return pselect(por(small_mask, inf_mask), x, log_large);
}
/** \internal \returns exp(x)-1 computed using W. Kahan's formula.
See: http://www.plunk.org/~hatch/rightway.php
*/
template <typename Packet>
EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS Packet generic_expm1(const Packet& x) {
typedef typename unpacket_traits<Packet>::type ScalarType;
const Packet one = pset1<Packet>(ScalarType(1));
const Packet neg_one = pset1<Packet>(ScalarType(-1));
Packet u = pexp(x);
Packet one_mask = pcmp_eq(u, one);
Packet u_minus_one = psub(u, one);
Packet neg_one_mask = pcmp_eq(u_minus_one, neg_one);
Packet logu = plog(u);
// The following comparison is to catch the case where
// exp(x) = +inf. It is written in this way to avoid having
// to form the constant +inf, which depends on the packet
// type.
Packet pos_inf_mask = pcmp_eq(logu, u);
Packet expm1 = pmul(u_minus_one, pdiv(x, logu));
expm1 = pselect(pos_inf_mask, u, expm1);
return pselect(one_mask, x, pselect(neg_one_mask, neg_one, expm1));
}
// Exponential function. Works by writing "x = m*log(2) + r" where
// "m = floor(x/log(2)+1/2)" and "r" is the remainder. The result is then
// "exp(x) = 2^m*exp(r)" where exp(r) is in the range [-1,1).
// exp(r) is computed using a 6th order minimax polynomial approximation.
template <typename Packet, bool IsFinite>
EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS Packet pexp_float(const Packet _x) {
const Packet cst_zero = pset1<Packet>(0.0f);
const Packet cst_one = pset1<Packet>(1.0f);
const Packet cst_half = pset1<Packet>(0.5f);
const Packet cst_exp_hi = pset1<Packet>(88.723f);
const Packet cst_exp_lo = pset1<Packet>(-104.f);
const Packet cst_pldexp_threshold = pset1<Packet>(87.0);
const Packet cst_cephes_LOG2EF = pset1<Packet>(1.44269504088896341f);
const Packet cst_p2 = pset1<Packet>(0.49999988079071044921875f);
const Packet cst_p3 = pset1<Packet>(0.16666518151760101318359375f);
const Packet cst_p4 = pset1<Packet>(4.166965186595916748046875e-2f);
const Packet cst_p5 = pset1<Packet>(8.36894474923610687255859375e-3f);
const Packet cst_p6 = pset1<Packet>(1.37449637986719608306884765625e-3f);
Packet zero_mask;
Packet x;
if (!IsFinite) {
// Clamp x.
zero_mask = pcmp_lt(_x, cst_exp_lo);
x = pmin(_x, cst_exp_hi);
} else {
x = _x;
}
// Express exp(x) as exp(m*ln(2) + r), start by extracting
// m = floor(x/ln(2) + 0.5).
Packet m = pfloor(pmadd(x, cst_cephes_LOG2EF, cst_half));
// Get r = x - m*ln(2). If no FMA instructions are available, m*ln(2) is
// subtracted out in two parts, m*C1+m*C2 = m*ln(2), to avoid accumulating
// truncation errors.
const Packet cst_cephes_exp_C1 = pset1<Packet>(-0.693359375f);
const Packet cst_cephes_exp_C2 = pset1<Packet>(2.12194440e-4f);
Packet r = pmadd(m, cst_cephes_exp_C1, x);
r = pmadd(m, cst_cephes_exp_C2, r);
// Evaluate the 6th order polynomial approximation to exp(r)
// with r in the interval [-ln(2)/2;ln(2)/2].
const Packet r2 = pmul(r, r);
Packet p_even = pmadd(r2, cst_p6, cst_p4);
const Packet p_odd = pmadd(r2, cst_p5, cst_p3);
p_even = pmadd(r2, p_even, cst_p2);
const Packet p_low = padd(r, cst_one);
Packet y = pmadd(r, p_odd, p_even);
y = pmadd(r2, y, p_low);
if (IsFinite) {
return pldexp_fast(y, m);
}
// Return 2^m * exp(r).
const Packet fast_pldexp_unsafe = pcmp_lt(cst_pldexp_threshold, pabs(x));
if (!predux_any(fast_pldexp_unsafe)) {
// For |x| <= 87, we know the result is not zero or inf, and we can safely use
// the fast version of pldexp.
return pmax(pldexp_fast(y, m), _x);
}
return pselect(zero_mask, cst_zero, pmax(pldexp(y, m), _x));
}
template <typename Packet>
EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS Packet pexp_double(const Packet _x) {
const Packet cst_zero = pset1<Packet>(0.0);
const Packet cst_1 = pset1<Packet>(1.0);
const Packet cst_2 = pset1<Packet>(2.0);
const Packet cst_half = pset1<Packet>(0.5);
const Packet cst_exp_hi = pset1<Packet>(709.784);
const Packet cst_exp_lo = pset1<Packet>(-745.519);
const Packet cst_pldexp_threshold = pset1<Packet>(708.0);
const Packet cst_cephes_LOG2EF = pset1<Packet>(1.4426950408889634073599);
const Packet cst_cephes_exp_p0 = pset1<Packet>(1.26177193074810590878e-4);
const Packet cst_cephes_exp_p1 = pset1<Packet>(3.02994407707441961300e-2);
const Packet cst_cephes_exp_p2 = pset1<Packet>(9.99999999999999999910e-1);
const Packet cst_cephes_exp_q0 = pset1<Packet>(3.00198505138664455042e-6);
const Packet cst_cephes_exp_q1 = pset1<Packet>(2.52448340349684104192e-3);
const Packet cst_cephes_exp_q2 = pset1<Packet>(2.27265548208155028766e-1);
const Packet cst_cephes_exp_q3 = pset1<Packet>(2.00000000000000000009e0);
const Packet cst_cephes_exp_C1 = pset1<Packet>(0.693145751953125);
const Packet cst_cephes_exp_C2 = pset1<Packet>(1.42860682030941723212e-6);
Packet tmp, fx;
// clamp x
Packet zero_mask = pcmp_lt(_x, cst_exp_lo);
Packet x = pmin(_x, cst_exp_hi);
// Express exp(x) as exp(g + n*log(2)).
fx = pmadd(cst_cephes_LOG2EF, x, cst_half);
// Get the integer modulus of log(2), i.e. the "n" described above.
fx = pfloor(fx);
// Get the remainder modulo log(2), i.e. the "g" described above. Subtract
// n*log(2) out in two steps, i.e. n*C1 + n*C2, C1+C2=log2 to get the last
// digits right.
tmp = pmul(fx, cst_cephes_exp_C1);
Packet z = pmul(fx, cst_cephes_exp_C2);
x = psub(x, tmp);
x = psub(x, z);
Packet x2 = pmul(x, x);
// Evaluate the numerator polynomial of the rational interpolant.
Packet px = cst_cephes_exp_p0;
px = pmadd(px, x2, cst_cephes_exp_p1);
px = pmadd(px, x2, cst_cephes_exp_p2);
px = pmul(px, x);
// Evaluate the denominator polynomial of the rational interpolant.
Packet qx = cst_cephes_exp_q0;
qx = pmadd(qx, x2, cst_cephes_exp_q1);
qx = pmadd(qx, x2, cst_cephes_exp_q2);
qx = pmadd(qx, x2, cst_cephes_exp_q3);
// I don't really get this bit, copied from the SSE2 routines, so...
// TODO(gonnet): Figure out what is going on here, perhaps find a better
// rational interpolant?
x = pdiv(px, psub(qx, px));
x = pmadd(cst_2, x, cst_1);
// Construct the result 2^n * exp(g) = e * x. The max is used to catch
// non-finite values in the input.
const Packet fast_pldexp_unsafe = pcmp_lt(cst_pldexp_threshold, pabs(_x));
if (!predux_any(fast_pldexp_unsafe)) {
// For |x| <= 708, we know the result is not zero or inf, and we can safely use
// the fast version of pldexp.
return pmax(pldexp_fast(x, fx), _x);
}
return pselect(zero_mask, cst_zero, pmax(pldexp(x, fx), _x));
}
// This function computes exp2(x) = exp(ln(2) * x).
// To improve accuracy, the product ln(2)*x is computed using the twoprod
// algorithm, such that ln(2) * x = p_hi + p_lo holds exactly. Then exp2(x) is
// computed as exp2(x) = exp(p_hi) * exp(p_lo) ~= exp(p_hi) * (1 + p_lo). This
// correction step this reduces the maximum absolute error as follows:
//
// type | max error (simple product) | max error (twoprod) |
// -----------------------------------------------------------
// float | 35 ulps | 4 ulps |
// double | 363 ulps | 110 ulps |
//
template <typename Packet>
EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS Packet generic_exp2(const Packet& _x) {
typedef typename unpacket_traits<Packet>::type Scalar;
constexpr int max_exponent = std::numeric_limits<Scalar>::max_exponent;
constexpr int digits = std::numeric_limits<Scalar>::digits;
constexpr Scalar max_cap = Scalar(max_exponent + 1);
constexpr Scalar min_cap = -Scalar(max_exponent + digits - 1);
Packet x = pmax(pmin(_x, pset1<Packet>(max_cap)), pset1<Packet>(min_cap));
Packet p_hi, p_lo;
twoprod(pset1<Packet>(Scalar(EIGEN_LN2)), x, p_hi, p_lo);
Packet exp2_hi = pexp(p_hi);
Packet exp2_lo = padd(pset1<Packet>(Scalar(1)), p_lo);
return pmul(exp2_hi, exp2_lo);
}
} // end namespace internal
} // end namespace Eigen
// Include the split-out sections. Order matters: Pow depends on exp/log and FrexpLdexp,
// Trig depends on exp (for ptanh_float), Complex depends on Trig (for psincos_selector).
#include "GenericPacketMathPow.h"
#include "GenericPacketMathTrig.h"
#include "GenericPacketMathComplex.h"
namespace Eigen {
namespace internal {
//----------------------------------------------------------------------
// Sign Function
//----------------------------------------------------------------------
template <typename Packet>
struct psign_impl<Packet, std::enable_if_t<!is_scalar<Packet>::value &&
!NumTraits<typename unpacket_traits<Packet>::type>::IsComplex &&
!NumTraits<typename unpacket_traits<Packet>::type>::IsInteger>> {
static EIGEN_DEVICE_FUNC inline Packet run(const Packet& a) {
using Scalar = typename unpacket_traits<Packet>::type;
const Packet cst_one = pset1<Packet>(Scalar(1));
const Packet cst_zero = pzero(a);
const Packet abs_a = pabs(a);
const Packet sign_mask = pandnot(a, abs_a);
const Packet nonzero_mask = pcmp_lt(cst_zero, abs_a);
return pselect(nonzero_mask, por(sign_mask, cst_one), abs_a);
}
};
template <typename Packet>
struct psign_impl<Packet, std::enable_if_t<!is_scalar<Packet>::value &&
!NumTraits<typename unpacket_traits<Packet>::type>::IsComplex &&
NumTraits<typename unpacket_traits<Packet>::type>::IsSigned &&
NumTraits<typename unpacket_traits<Packet>::type>::IsInteger>> {
static EIGEN_DEVICE_FUNC inline Packet run(const Packet& a) {
using Scalar = typename unpacket_traits<Packet>::type;
const Packet cst_one = pset1<Packet>(Scalar(1));
const Packet cst_minus_one = pset1<Packet>(Scalar(-1));
const Packet cst_zero = pzero(a);
const Packet positive_mask = pcmp_lt(cst_zero, a);
const Packet positive = pand(positive_mask, cst_one);
const Packet negative_mask = pcmp_lt(a, cst_zero);
const Packet negative = pand(negative_mask, cst_minus_one);
return por(positive, negative);
}
};
template <typename Packet>
struct psign_impl<Packet, std::enable_if_t<!is_scalar<Packet>::value &&
!NumTraits<typename unpacket_traits<Packet>::type>::IsComplex &&
!NumTraits<typename unpacket_traits<Packet>::type>::IsSigned &&
NumTraits<typename unpacket_traits<Packet>::type>::IsInteger>> {
static EIGEN_DEVICE_FUNC inline Packet run(const Packet& a) {
using Scalar = typename unpacket_traits<Packet>::type;
const Packet cst_one = pset1<Packet>(Scalar(1));
const Packet cst_zero = pzero(a);
const Packet zero_mask = pcmp_eq(cst_zero, a);
return pandnot(cst_one, zero_mask);
}
};
// \internal \returns the sign of a complex number z, defined as z / abs(z).
template <typename Packet>
struct psign_impl<Packet, std::enable_if_t<!is_scalar<Packet>::value &&
NumTraits<typename unpacket_traits<Packet>::type>::IsComplex &&
unpacket_traits<Packet>::vectorizable>> {
static EIGEN_DEVICE_FUNC inline Packet run(const Packet& a) {
typedef typename unpacket_traits<Packet>::type Scalar;
typedef typename Scalar::value_type RealScalar;
typedef typename unpacket_traits<Packet>::as_real RealPacket;
// Step 1. Compute (for each element z = x + i*y in a)
// l = abs(z) = sqrt(x^2 + y^2).
// To avoid over- and underflow, we use the stable formula for each hypotenuse
// l = (zmin == 0 ? zmax : zmax * sqrt(1 + (zmin/zmax)**2)),
// where zmax = max(|x|, |y|), zmin = min(|x|, |y|),
RealPacket a_abs = pabs(a.v);
RealPacket a_abs_flip = pcplxflip(Packet(a_abs)).v;
RealPacket a_max = pmax(a_abs, a_abs_flip);
RealPacket a_min = pmin(a_abs, a_abs_flip);
RealPacket a_min_zero_mask = pcmp_eq(a_min, pzero(a_min));
RealPacket a_max_zero_mask = pcmp_eq(a_max, pzero(a_max));
RealPacket r = pdiv(a_min, a_max);
const RealPacket cst_one = pset1<RealPacket>(RealScalar(1));
RealPacket l = pmul(a_max, psqrt(padd(cst_one, pmul(r, r)))); // [l0, l0, l1, l1]
// Set l to a_max if a_min is zero, since the roundtrip sqrt(a_max^2) may be
// lossy.
l = pselect(a_min_zero_mask, a_max, l);
// Step 2 compute a / abs(a).
RealPacket sign_as_real = pandnot(pdiv(a.v, l), a_max_zero_mask);
Packet sign;
sign.v = sign_as_real;
return sign;
}
};
//----------------------------------------------------------------------
// Rounding Functions
//----------------------------------------------------------------------
template <typename Packet>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Packet generic_rint(const Packet& a) {
using Scalar = typename unpacket_traits<Packet>::type;
using IntType = typename numext::get_integer_by_size<sizeof(Scalar)>::signed_type;
// Adds and subtracts signum(a) * 2^kMantissaBits to force rounding.
const IntType kLimit = IntType(1) << (NumTraits<Scalar>::digits() - 1);
const Packet cst_limit = pset1<Packet>(static_cast<Scalar>(kLimit));
Packet abs_a = pabs(a);
Packet sign_a = pandnot(a, abs_a);
Packet rint_a = padd(abs_a, cst_limit);
// Don't compile-away addition and subtraction.
EIGEN_OPTIMIZATION_BARRIER(rint_a);
rint_a = psub(rint_a, cst_limit);
rint_a = por(rint_a, sign_a);
// If greater than limit (or NaN), simply return a.
Packet mask = pcmp_lt(abs_a, cst_limit);
Packet result = pselect(mask, rint_a, a);
return result;
}
template <typename Packet>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Packet generic_floor(const Packet& a) {
using Scalar = typename unpacket_traits<Packet>::type;
const Packet cst_1 = pset1<Packet>(Scalar(1));
Packet rint_a = generic_rint(a);
// if a < rint(a), then rint(a) == ceil(a)
Packet mask = pcmp_lt(a, rint_a);
Packet offset = pand(cst_1, mask);
Packet result = psub(rint_a, offset);
return result;
}
template <typename Packet>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Packet generic_ceil(const Packet& a) {
using Scalar = typename unpacket_traits<Packet>::type;
const Packet cst_1 = pset1<Packet>(Scalar(1));
const Packet sign_mask = pset1<Packet>(static_cast<Scalar>(-0.0));
Packet rint_a = generic_rint(a);
// if rint(a) < a, then rint(a) == floor(a)
Packet mask = pcmp_lt(rint_a, a);
Packet offset = pand(cst_1, mask);
Packet result = padd(rint_a, offset);
// Signed zero must remain signed (e.g. ceil(-0.02) == -0).
result = por(result, pand(sign_mask, a));
return result;
}
template <typename Packet>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Packet generic_trunc(const Packet& a) {
Packet abs_a = pabs(a);
Packet sign_a = pandnot(a, abs_a);
Packet floor_abs_a = generic_floor(abs_a);
Packet result = por(floor_abs_a, sign_a);
return result;
}
template <typename Packet>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Packet generic_round(const Packet& a) {
using Scalar = typename unpacket_traits<Packet>::type;
const Packet cst_half = pset1<Packet>(Scalar(0.5));
const Packet cst_1 = pset1<Packet>(Scalar(1));
Packet abs_a = pabs(a);
Packet sign_a = pandnot(a, abs_a);
Packet floor_abs_a = generic_floor(abs_a);
Packet diff = psub(abs_a, floor_abs_a);
Packet mask = pcmp_le(cst_half, diff);
Packet offset = pand(cst_1, mask);
Packet result = padd(floor_abs_a, offset);
result = por(result, sign_a);
return result;
}
template <typename Packet>
struct nearest_integer_packetop_impl<Packet, /*IsScalar*/ false, /*IsInteger*/ false> {
using Scalar = typename unpacket_traits<Packet>::type;
static_assert(packet_traits<Scalar>::HasRound, "Generic nearest integer functions are disabled for this type.");
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Packet run_floor(const Packet& x) { return generic_floor(x); }
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Packet run_ceil(const Packet& x) { return generic_ceil(x); }
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Packet run_rint(const Packet& x) { return generic_rint(x); }
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Packet run_round(const Packet& x) { return generic_round(x); }
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Packet run_trunc(const Packet& x) { return generic_trunc(x); }
};
template <typename Packet>
struct nearest_integer_packetop_impl<Packet, /*IsScalar*/ false, /*IsInteger*/ true> {
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Packet run_floor(const Packet& x) { return x; }
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Packet run_ceil(const Packet& x) { return x; }
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Packet run_rint(const Packet& x) { return x; }
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Packet run_round(const Packet& x) { return x; }
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Packet run_trunc(const Packet& x) { return x; }
};
} // end namespace internal
} // end namespace Eigen
#endif // EIGEN_ARCH_GENERIC_PACKET_MATH_FUNCTIONS_H