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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2007 Julien Pommier
// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// 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 sin, cos, exp, and log functions of this file come from
* Julien Pommier's sse math library: http://gruntthepeon.free.fr/ssemath/
*/
#ifndef EIGEN_MATH_FUNCTIONS_SSE_H
#define EIGEN_MATH_FUNCTIONS_SSE_H
namespace Eigen {
namespace internal {
// Functions for division.
// The EIGEN_FAST_MATH version uses the _mm_rcp_ps approximation and one step of
// Newton's method, at a cost of 1-2 bits of precision as opposed to the exact
// solution. The main advantage of this approach is not just speed, but also the
// fact that it can be inlined and pipelined with other computations, further
// reducing its effective latency.
#if EIGEN_FAST_DIV
template <>
EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED Packet4f
pdiv<Packet4f>(const Packet4f& a, const Packet4f& b) {
_EIGEN_DECLARE_CONST_Packet4f(two, 2.0f);
/* Start with an estimate of the reciprocal of b. */
Packet4f x = _mm_rcp_ps(b);
/* One step of Newton's method on b - x^-1 == 0. */
x = pmul(x, pmadd(-b, x, p4f_two));
// Multiply the inverse of b with a.
return pmul(a, x);
}
#else
template <>
EIGEN_STRONG_INLINE Packet4f
pdiv<Packet4f>(const Packet4f& a, const Packet4f& b) {
return _mm_div_ps(a, b);
}
#endif
template <>
EIGEN_STRONG_INLINE Packet2d
pdiv<Packet2d>(const Packet2d& a, const Packet2d& b) {
return _mm_div_pd(a, b);
}
template <>
EIGEN_STRONG_INLINE Packet4i
pdiv<Packet4i>(const Packet4i& /*a*/, const Packet4i& /*b*/) {
eigen_assert(false && "packet integer division are not supported by SSE");
return pset1<Packet4i>(0);
}
// Hyperbolic Tangent function.
// Doesn't do anything fancy, just a 13/6-degree rational interpolant which
// is accurate up to a couple of ulp in the range [-9, 9], outside of which the
// fl(tanh(x)) = +/-1.
template <>
EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED Packet4f
ptanh<Packet4f>(const Packet4f& _x) {
// Clamp the inputs to the range [-9, 9] since anything outside
// this range is +/-1.0f in single-precision.
_EIGEN_DECLARE_CONST_Packet4f(plus_9, 9.0f);
_EIGEN_DECLARE_CONST_Packet4f(minus_9, -9.0f);
const Packet4f x = pmax(p4f_minus_9, pmin(p4f_plus_9, _x));
// The monomial coefficients of the numerator polynomial (odd).
_EIGEN_DECLARE_CONST_Packet4f(alpha_1, 4.89352455891786e-03f);
_EIGEN_DECLARE_CONST_Packet4f(alpha_3, 6.37261928875436e-04f);
_EIGEN_DECLARE_CONST_Packet4f(alpha_5, 1.48572235717979e-05f);
_EIGEN_DECLARE_CONST_Packet4f(alpha_7, 5.12229709037114e-08f);
_EIGEN_DECLARE_CONST_Packet4f(alpha_9, -8.60467152213735e-11f);
_EIGEN_DECLARE_CONST_Packet4f(alpha_11, 2.00018790482477e-13f);
_EIGEN_DECLARE_CONST_Packet4f(alpha_13, -2.76076847742355e-16f);
// The monomial coefficients of the denominator polynomial (even).
_EIGEN_DECLARE_CONST_Packet4f(beta_0, 4.89352518554385e-03f);
_EIGEN_DECLARE_CONST_Packet4f(beta_2, 2.26843463243900e-03f);
_EIGEN_DECLARE_CONST_Packet4f(beta_4, 1.18534705686654e-04f);
_EIGEN_DECLARE_CONST_Packet4f(beta_6, 1.19825839466702e-06f);
// Since the polynomials are odd/even, we need x^2.
const Packet4f x2 = pmul(x, x);
// Evaluate the numerator polynomial p.
Packet4f p = pmadd(x2, p4f_alpha_13, p4f_alpha_11);
p = pmadd(x2, p, p4f_alpha_9);
p = pmadd(x2, p, p4f_alpha_7);
p = pmadd(x2, p, p4f_alpha_5);
p = pmadd(x2, p, p4f_alpha_3);
p = pmadd(x2, p, p4f_alpha_1);
p = pmul(x, p);
// Evaluate the denominator polynomial p.
Packet4f q = pmadd(x2, p4f_beta_6, p4f_beta_4);
q = pmadd(x2, q, p4f_beta_2);
q = pmadd(x2, q, p4f_beta_0);
// Divide the numerator by the denominator.
return pdiv(p, q);
}
template<> EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED
Packet4f plog<Packet4f>(const Packet4f& _x)
{
Packet4f x = _x;
_EIGEN_DECLARE_CONST_Packet4f(1 , 1.0f);
_EIGEN_DECLARE_CONST_Packet4f(half, 0.5f);
_EIGEN_DECLARE_CONST_Packet4i(0x7f, 0x7f);
_EIGEN_DECLARE_CONST_Packet4f_FROM_INT(inv_mant_mask, ~0x7f800000);
/* the smallest non denormalized float number */
_EIGEN_DECLARE_CONST_Packet4f_FROM_INT(min_norm_pos, 0x00800000);
_EIGEN_DECLARE_CONST_Packet4f_FROM_INT(minus_inf, 0xff800000);//-1.f/0.f);
/* natural logarithm computed for 4 simultaneous float
return NaN for x <= 0
*/
_EIGEN_DECLARE_CONST_Packet4f(cephes_SQRTHF, 0.707106781186547524f);
_EIGEN_DECLARE_CONST_Packet4f(cephes_log_p0, 7.0376836292E-2f);
_EIGEN_DECLARE_CONST_Packet4f(cephes_log_p1, - 1.1514610310E-1f);
_EIGEN_DECLARE_CONST_Packet4f(cephes_log_p2, 1.1676998740E-1f);
_EIGEN_DECLARE_CONST_Packet4f(cephes_log_p3, - 1.2420140846E-1f);
_EIGEN_DECLARE_CONST_Packet4f(cephes_log_p4, + 1.4249322787E-1f);
_EIGEN_DECLARE_CONST_Packet4f(cephes_log_p5, - 1.6668057665E-1f);
_EIGEN_DECLARE_CONST_Packet4f(cephes_log_p6, + 2.0000714765E-1f);
_EIGEN_DECLARE_CONST_Packet4f(cephes_log_p7, - 2.4999993993E-1f);
_EIGEN_DECLARE_CONST_Packet4f(cephes_log_p8, + 3.3333331174E-1f);
_EIGEN_DECLARE_CONST_Packet4f(cephes_log_q1, -2.12194440e-4f);
_EIGEN_DECLARE_CONST_Packet4f(cephes_log_q2, 0.693359375f);
Packet4i emm0;
// invalid_mask is set to true when x is NaN
Packet4f invalid_mask = _mm_cmpnge_ps(x, _mm_setzero_ps());
Packet4f iszero_mask = _mm_cmpeq_ps(x, _mm_setzero_ps());
x = pmax(x, p4f_min_norm_pos); /* cut off denormalized stuff */
emm0 = _mm_srli_epi32(_mm_castps_si128(x), 23);
/* keep only the fractional part */
x = _mm_and_ps(x, p4f_inv_mant_mask);
x = _mm_or_ps(x, p4f_half);
emm0 = _mm_sub_epi32(emm0, p4i_0x7f);
Packet4f e = padd(Packet4f(_mm_cvtepi32_ps(emm0)), p4f_1);
/* part2:
if( x < SQRTHF ) {
e -= 1;
x = x + x - 1.0;
} else { x = x - 1.0; }
*/
Packet4f mask = _mm_cmplt_ps(x, p4f_cephes_SQRTHF);
Packet4f tmp = pand(x, mask);
x = psub(x, p4f_1);
e = psub(e, pand(p4f_1, mask));
x = padd(x, tmp);
Packet4f x2 = pmul(x,x);
Packet4f x3 = pmul(x2,x);
Packet4f y, y1, y2;
y = pmadd(p4f_cephes_log_p0, x, p4f_cephes_log_p1);
y1 = pmadd(p4f_cephes_log_p3, x, p4f_cephes_log_p4);
y2 = pmadd(p4f_cephes_log_p6, x, p4f_cephes_log_p7);
y = pmadd(y , x, p4f_cephes_log_p2);
y1 = pmadd(y1, x, p4f_cephes_log_p5);
y2 = pmadd(y2, x, p4f_cephes_log_p8);
y = pmadd(y, x3, y1);
y = pmadd(y, x3, y2);
y = pmul(y, x3);
y1 = pmul(e, p4f_cephes_log_q1);
tmp = pmul(x2, p4f_half);
y = padd(y, y1);
x = psub(x, tmp);
y2 = pmul(e, p4f_cephes_log_q2);
x = padd(x, y);
x = padd(x, y2);
// negative arg will be NAN, 0 will be -INF
return _mm_or_ps(_mm_andnot_ps(iszero_mask, _mm_or_ps(x, invalid_mask)),
_mm_and_ps(iszero_mask, p4f_minus_inf));
}
template<> EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED
Packet4f pexp<Packet4f>(const Packet4f& _x)
{
Packet4f x = _x;
_EIGEN_DECLARE_CONST_Packet4f(1 , 1.0f);
_EIGEN_DECLARE_CONST_Packet4f(half, 0.5f);
_EIGEN_DECLARE_CONST_Packet4i(0x7f, 0x7f);
_EIGEN_DECLARE_CONST_Packet4f(exp_hi, 88.3762626647950f);
_EIGEN_DECLARE_CONST_Packet4f(exp_lo, -88.3762626647949f);
_EIGEN_DECLARE_CONST_Packet4f(cephes_LOG2EF, 1.44269504088896341f);
_EIGEN_DECLARE_CONST_Packet4f(cephes_exp_C1, 0.693359375f);
_EIGEN_DECLARE_CONST_Packet4f(cephes_exp_C2, -2.12194440e-4f);
_EIGEN_DECLARE_CONST_Packet4f(cephes_exp_p0, 1.9875691500E-4f);
_EIGEN_DECLARE_CONST_Packet4f(cephes_exp_p1, 1.3981999507E-3f);
_EIGEN_DECLARE_CONST_Packet4f(cephes_exp_p2, 8.3334519073E-3f);
_EIGEN_DECLARE_CONST_Packet4f(cephes_exp_p3, 4.1665795894E-2f);
_EIGEN_DECLARE_CONST_Packet4f(cephes_exp_p4, 1.6666665459E-1f);
_EIGEN_DECLARE_CONST_Packet4f(cephes_exp_p5, 5.0000001201E-1f);
Packet4f tmp, fx;
Packet4i emm0;
// clamp x
x = pmax(pmin(x, p4f_exp_hi), p4f_exp_lo);
/* express exp(x) as exp(g + n*log(2)) */
fx = pmadd(x, p4f_cephes_LOG2EF, p4f_half);
#ifdef EIGEN_VECTORIZE_SSE4_1
fx = _mm_floor_ps(fx);
#else
emm0 = _mm_cvttps_epi32(fx);
tmp = _mm_cvtepi32_ps(emm0);
/* if greater, substract 1 */
Packet4f mask = _mm_cmpgt_ps(tmp, fx);
mask = _mm_and_ps(mask, p4f_1);
fx = psub(tmp, mask);
#endif
tmp = pmul(fx, p4f_cephes_exp_C1);
Packet4f z = pmul(fx, p4f_cephes_exp_C2);
x = psub(x, tmp);
x = psub(x, z);
z = pmul(x,x);
Packet4f y = p4f_cephes_exp_p0;
y = pmadd(y, x, p4f_cephes_exp_p1);
y = pmadd(y, x, p4f_cephes_exp_p2);
y = pmadd(y, x, p4f_cephes_exp_p3);
y = pmadd(y, x, p4f_cephes_exp_p4);
y = pmadd(y, x, p4f_cephes_exp_p5);
y = pmadd(y, z, x);
y = padd(y, p4f_1);
// build 2^n
emm0 = _mm_cvttps_epi32(fx);
emm0 = _mm_add_epi32(emm0, p4i_0x7f);
emm0 = _mm_slli_epi32(emm0, 23);
return pmax(pmul(y, Packet4f(_mm_castsi128_ps(emm0))), _x);
}
template<> EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED
Packet2d pexp<Packet2d>(const Packet2d& _x)
{
Packet2d x = _x;
_EIGEN_DECLARE_CONST_Packet2d(1 , 1.0);
_EIGEN_DECLARE_CONST_Packet2d(2 , 2.0);
_EIGEN_DECLARE_CONST_Packet2d(half, 0.5);
_EIGEN_DECLARE_CONST_Packet2d(exp_hi, 709.437);
_EIGEN_DECLARE_CONST_Packet2d(exp_lo, -709.436139303);
_EIGEN_DECLARE_CONST_Packet2d(cephes_LOG2EF, 1.4426950408889634073599);
_EIGEN_DECLARE_CONST_Packet2d(cephes_exp_p0, 1.26177193074810590878e-4);
_EIGEN_DECLARE_CONST_Packet2d(cephes_exp_p1, 3.02994407707441961300e-2);
_EIGEN_DECLARE_CONST_Packet2d(cephes_exp_p2, 9.99999999999999999910e-1);
_EIGEN_DECLARE_CONST_Packet2d(cephes_exp_q0, 3.00198505138664455042e-6);
_EIGEN_DECLARE_CONST_Packet2d(cephes_exp_q1, 2.52448340349684104192e-3);
_EIGEN_DECLARE_CONST_Packet2d(cephes_exp_q2, 2.27265548208155028766e-1);
_EIGEN_DECLARE_CONST_Packet2d(cephes_exp_q3, 2.00000000000000000009e0);
_EIGEN_DECLARE_CONST_Packet2d(cephes_exp_C1, 0.693145751953125);
_EIGEN_DECLARE_CONST_Packet2d(cephes_exp_C2, 1.42860682030941723212e-6);
static const __m128i p4i_1023_0 = _mm_setr_epi32(1023, 1023, 0, 0);
Packet2d tmp, fx;
Packet4i emm0;
// clamp x
x = pmax(pmin(x, p2d_exp_hi), p2d_exp_lo);
/* express exp(x) as exp(g + n*log(2)) */
fx = pmadd(p2d_cephes_LOG2EF, x, p2d_half);
#ifdef EIGEN_VECTORIZE_SSE4_1
fx = _mm_floor_pd(fx);
#else
emm0 = _mm_cvttpd_epi32(fx);
tmp = _mm_cvtepi32_pd(emm0);
/* if greater, substract 1 */
Packet2d mask = _mm_cmpgt_pd(tmp, fx);
mask = _mm_and_pd(mask, p2d_1);
fx = psub(tmp, mask);
#endif
tmp = pmul(fx, p2d_cephes_exp_C1);
Packet2d z = pmul(fx, p2d_cephes_exp_C2);
x = psub(x, tmp);
x = psub(x, z);
Packet2d x2 = pmul(x,x);
Packet2d px = p2d_cephes_exp_p0;
px = pmadd(px, x2, p2d_cephes_exp_p1);
px = pmadd(px, x2, p2d_cephes_exp_p2);
px = pmul (px, x);
Packet2d qx = p2d_cephes_exp_q0;
qx = pmadd(qx, x2, p2d_cephes_exp_q1);
qx = pmadd(qx, x2, p2d_cephes_exp_q2);
qx = pmadd(qx, x2, p2d_cephes_exp_q3);
x = pdiv(px,psub(qx,px));
x = pmadd(p2d_2,x,p2d_1);
// build 2^n
emm0 = _mm_cvttpd_epi32(fx);
emm0 = _mm_add_epi32(emm0, p4i_1023_0);
emm0 = _mm_slli_epi32(emm0, 20);
emm0 = _mm_shuffle_epi32(emm0, _MM_SHUFFLE(1,2,0,3));
return pmax(pmul(x, Packet2d(_mm_castsi128_pd(emm0))), _x);
}
/* evaluation of 4 sines at onces, using SSE2 intrinsics.
The code is the exact rewriting of the cephes sinf function.
Precision is excellent as long as x < 8192 (I did not bother to
take into account the special handling they have for greater values
-- it does not return garbage for arguments over 8192, though, but
the extra precision is missing).
Note that it is such that sinf((float)M_PI) = 8.74e-8, which is the
surprising but correct result.
*/
template<> EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED
Packet4f psin<Packet4f>(const Packet4f& _x)
{
Packet4f x = _x;
_EIGEN_DECLARE_CONST_Packet4f(1 , 1.0f);
_EIGEN_DECLARE_CONST_Packet4f(half, 0.5f);
_EIGEN_DECLARE_CONST_Packet4i(1, 1);
_EIGEN_DECLARE_CONST_Packet4i(not1, ~1);
_EIGEN_DECLARE_CONST_Packet4i(2, 2);
_EIGEN_DECLARE_CONST_Packet4i(4, 4);
_EIGEN_DECLARE_CONST_Packet4f_FROM_INT(sign_mask, 0x80000000);
_EIGEN_DECLARE_CONST_Packet4f(minus_cephes_DP1,-0.78515625f);
_EIGEN_DECLARE_CONST_Packet4f(minus_cephes_DP2, -2.4187564849853515625e-4f);
_EIGEN_DECLARE_CONST_Packet4f(minus_cephes_DP3, -3.77489497744594108e-8f);
_EIGEN_DECLARE_CONST_Packet4f(sincof_p0, -1.9515295891E-4f);
_EIGEN_DECLARE_CONST_Packet4f(sincof_p1, 8.3321608736E-3f);
_EIGEN_DECLARE_CONST_Packet4f(sincof_p2, -1.6666654611E-1f);
_EIGEN_DECLARE_CONST_Packet4f(coscof_p0, 2.443315711809948E-005f);
_EIGEN_DECLARE_CONST_Packet4f(coscof_p1, -1.388731625493765E-003f);
_EIGEN_DECLARE_CONST_Packet4f(coscof_p2, 4.166664568298827E-002f);
_EIGEN_DECLARE_CONST_Packet4f(cephes_FOPI, 1.27323954473516f); // 4 / M_PI
Packet4f xmm1, xmm2, xmm3, sign_bit, y;
Packet4i emm0, emm2;
sign_bit = x;
/* take the absolute value */
x = pabs(x);
/* take the modulo */
/* extract the sign bit (upper one) */
sign_bit = _mm_and_ps(sign_bit, p4f_sign_mask);
/* scale by 4/Pi */
y = pmul(x, p4f_cephes_FOPI);
/* store the integer part of y in mm0 */
emm2 = _mm_cvttps_epi32(y);
/* j=(j+1) & (~1) (see the cephes sources) */
emm2 = _mm_add_epi32(emm2, p4i_1);
emm2 = _mm_and_si128(emm2, p4i_not1);
y = _mm_cvtepi32_ps(emm2);
/* get the swap sign flag */
emm0 = _mm_and_si128(emm2, p4i_4);
emm0 = _mm_slli_epi32(emm0, 29);
/* get the polynom selection mask
there is one polynom for 0 <= x <= Pi/4
and another one for Pi/4<x<=Pi/2
Both branches will be computed.
*/
emm2 = _mm_and_si128(emm2, p4i_2);
emm2 = _mm_cmpeq_epi32(emm2, _mm_setzero_si128());
Packet4f swap_sign_bit = _mm_castsi128_ps(emm0);
Packet4f poly_mask = _mm_castsi128_ps(emm2);
sign_bit = _mm_xor_ps(sign_bit, swap_sign_bit);
/* The magic pass: "Extended precision modular arithmetic"
x = ((x - y * DP1) - y * DP2) - y * DP3; */
xmm1 = pmul(y, p4f_minus_cephes_DP1);
xmm2 = pmul(y, p4f_minus_cephes_DP2);
xmm3 = pmul(y, p4f_minus_cephes_DP3);
x = padd(x, xmm1);
x = padd(x, xmm2);
x = padd(x, xmm3);
/* Evaluate the first polynom (0 <= x <= Pi/4) */
y = p4f_coscof_p0;
Packet4f z = _mm_mul_ps(x,x);
y = pmadd(y, z, p4f_coscof_p1);
y = pmadd(y, z, p4f_coscof_p2);
y = pmul(y, z);
y = pmul(y, z);
Packet4f tmp = pmul(z, p4f_half);
y = psub(y, tmp);
y = padd(y, p4f_1);
/* Evaluate the second polynom (Pi/4 <= x <= 0) */
Packet4f y2 = p4f_sincof_p0;
y2 = pmadd(y2, z, p4f_sincof_p1);
y2 = pmadd(y2, z, p4f_sincof_p2);
y2 = pmul(y2, z);
y2 = pmul(y2, x);
y2 = padd(y2, x);
/* select the correct result from the two polynoms */
y2 = _mm_and_ps(poly_mask, y2);
y = _mm_andnot_ps(poly_mask, y);
y = _mm_or_ps(y,y2);
/* update the sign */
return _mm_xor_ps(y, sign_bit);
}
/* almost the same as psin */
template<> EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED
Packet4f pcos<Packet4f>(const Packet4f& _x)
{
Packet4f x = _x;
_EIGEN_DECLARE_CONST_Packet4f(1 , 1.0f);
_EIGEN_DECLARE_CONST_Packet4f(half, 0.5f);
_EIGEN_DECLARE_CONST_Packet4i(1, 1);
_EIGEN_DECLARE_CONST_Packet4i(not1, ~1);
_EIGEN_DECLARE_CONST_Packet4i(2, 2);
_EIGEN_DECLARE_CONST_Packet4i(4, 4);
_EIGEN_DECLARE_CONST_Packet4f(minus_cephes_DP1,-0.78515625f);
_EIGEN_DECLARE_CONST_Packet4f(minus_cephes_DP2, -2.4187564849853515625e-4f);
_EIGEN_DECLARE_CONST_Packet4f(minus_cephes_DP3, -3.77489497744594108e-8f);
_EIGEN_DECLARE_CONST_Packet4f(sincof_p0, -1.9515295891E-4f);
_EIGEN_DECLARE_CONST_Packet4f(sincof_p1, 8.3321608736E-3f);
_EIGEN_DECLARE_CONST_Packet4f(sincof_p2, -1.6666654611E-1f);
_EIGEN_DECLARE_CONST_Packet4f(coscof_p0, 2.443315711809948E-005f);
_EIGEN_DECLARE_CONST_Packet4f(coscof_p1, -1.388731625493765E-003f);
_EIGEN_DECLARE_CONST_Packet4f(coscof_p2, 4.166664568298827E-002f);
_EIGEN_DECLARE_CONST_Packet4f(cephes_FOPI, 1.27323954473516f); // 4 / M_PI
Packet4f xmm1, xmm2, xmm3, y;
Packet4i emm0, emm2;
x = pabs(x);
/* scale by 4/Pi */
y = pmul(x, p4f_cephes_FOPI);
/* get the integer part of y */
emm2 = _mm_cvttps_epi32(y);
/* j=(j+1) & (~1) (see the cephes sources) */
emm2 = _mm_add_epi32(emm2, p4i_1);
emm2 = _mm_and_si128(emm2, p4i_not1);
y = _mm_cvtepi32_ps(emm2);
emm2 = _mm_sub_epi32(emm2, p4i_2);
/* get the swap sign flag */
emm0 = _mm_andnot_si128(emm2, p4i_4);
emm0 = _mm_slli_epi32(emm0, 29);
/* get the polynom selection mask */
emm2 = _mm_and_si128(emm2, p4i_2);
emm2 = _mm_cmpeq_epi32(emm2, _mm_setzero_si128());
Packet4f sign_bit = _mm_castsi128_ps(emm0);
Packet4f poly_mask = _mm_castsi128_ps(emm2);
/* The magic pass: "Extended precision modular arithmetic"
x = ((x - y * DP1) - y * DP2) - y * DP3; */
xmm1 = pmul(y, p4f_minus_cephes_DP1);
xmm2 = pmul(y, p4f_minus_cephes_DP2);
xmm3 = pmul(y, p4f_minus_cephes_DP3);
x = padd(x, xmm1);
x = padd(x, xmm2);
x = padd(x, xmm3);
/* Evaluate the first polynom (0 <= x <= Pi/4) */
y = p4f_coscof_p0;
Packet4f z = pmul(x,x);
y = pmadd(y,z,p4f_coscof_p1);
y = pmadd(y,z,p4f_coscof_p2);
y = pmul(y, z);
y = pmul(y, z);
Packet4f tmp = _mm_mul_ps(z, p4f_half);
y = psub(y, tmp);
y = padd(y, p4f_1);
/* Evaluate the second polynom (Pi/4 <= x <= 0) */
Packet4f y2 = p4f_sincof_p0;
y2 = pmadd(y2, z, p4f_sincof_p1);
y2 = pmadd(y2, z, p4f_sincof_p2);
y2 = pmul(y2, z);
y2 = pmadd(y2, x, x);
/* select the correct result from the two polynoms */
y2 = _mm_and_ps(poly_mask, y2);
y = _mm_andnot_ps(poly_mask, y);
y = _mm_or_ps(y,y2);
/* update the sign */
return _mm_xor_ps(y, sign_bit);
}
#if EIGEN_FAST_MATH
// Functions for sqrt.
// The EIGEN_FAST_MATH version uses the _mm_rsqrt_ps approximation and one step
// of Newton's method, at a cost of 1-2 bits of precision as opposed to the
// exact solution. The main advantage of this approach is not just speed, but
// also the fact that it can be inlined and pipelined with other computations,
// further reducing its effective latency.
template <>
EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED Packet4f
psqrt<Packet4f>(const Packet4f& _x) {
_EIGEN_DECLARE_CONST_Packet4f(one_point_five, 1.5f);
_EIGEN_DECLARE_CONST_Packet4f(minus_half, -0.5f);
_EIGEN_DECLARE_CONST_Packet4f_FROM_INT(flt_min, 0x00800000);
Packet4f neg_half = pmul(_x, p4f_minus_half);
Packet4f denormal_mask = _mm_and_ps(_mm_cmpge_ps(_x, _mm_setzero_ps()),
_mm_cmplt_ps(_x, p4f_flt_min));
// Compute approximate reciprocal sqrt.
Packet4f x = _mm_rsqrt_ps(_x);
// Do a single step of Newton's iteration.
x = pmul(x, pmadd(neg_half, pmul(x, x), p4f_one_point_five));
// Multiply the original _x by it's reciprocal square root to extract the
// square root.
x = pmul(_x, x);
// Flush results for denormals to zero.
return _mm_andnot_ps(denormal_mask, x);
}
#else
template<> EIGEN_STRONG_INLINE Packet4f psqrt<Packet4f>(const Packet4f& x) { return _mm_sqrt_ps(x); }
#endif
template<> EIGEN_STRONG_INLINE Packet2d psqrt<Packet2d>(const Packet2d& x) { return _mm_sqrt_pd(x); }
#if EIGEN_FAST_MATH
// Functions for rsqrt.
// Almost identical to the sqrt routine, just leave out the last multiplication
// and fill in NaN/Inf where needed. Note that this function only exists as an
// iterative version since there is no instruction for diretly computing the
// reciprocal square root in AVX/AVX2 (there will be one in AVX-512).
template <>
EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED Packet4f
prsqrt<Packet4f>(const Packet4f& _x) {
_EIGEN_DECLARE_CONST_Packet4f(one_point_five, 1.5f);
_EIGEN_DECLARE_CONST_Packet4f(minus_half, -0.5f);
_EIGEN_DECLARE_CONST_Packet4f_FROM_INT(inf, 0x7f800000);
_EIGEN_DECLARE_CONST_Packet4f_FROM_INT(flt_min, 0x00800000);
// Remeber which entries were zero (or almost).
Packet4f is_zero = _mm_and_ps(_mm_cmplt_ps(_x, p4f_flt_min),
_mm_cmpge_ps(_x, _mm_setzero_ps()));
// select only the inverse sqrt of positive normal inputs (denormals are
// flushed to zero and cause infs).
Packet4f x = _mm_rsqrt_ps(_x);
// Do a single step of Newton's iteration.
Packet4f neg_half = pmul(_x, p4f_minus_half);
x = pmul(x, pmadd(neg_half, pmul(x, x), p4f_one_point_five));
// Mask-out the zero terms.
return _mm_or_ps(_mm_andnot_ps(is_zero, x), _mm_and_ps(is_zero, p4f_inf));
}
#else
template<> EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED
Packet4f prsqrt<Packet4f>(const Packet4f& x) {
// Unfortunately we can't use the much faster mm_rqsrt_ps since it only provides an approximation.
return _mm_div_ps(pset1<Packet4f>(1.0f), _mm_sqrt_ps(x));
}
#endif
template<> EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED
Packet2d prsqrt<Packet2d>(const Packet2d& x) {
// Unfortunately we can't use the much faster mm_rqsrt_pd since it only provides an approximation.
return _mm_div_pd(pset1<Packet2d>(1.0), _mm_sqrt_pd(x));
}
// Identical to the ptanh in GenericPacketMath.h, but for doubles use
// a small/medium approximation threshold of 0.001.
template<> EIGEN_STRONG_INLINE Packet2d ptanh_approx_threshold() {
return pset1<Packet2d>(0.001);
}
} // end namespace internal
namespace numext {
template<>
EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
float sqrt(const float &x)
{
return internal::pfirst(_mm_sqrt_ss(_mm_set_ss(x)));
}
template<>
EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
double sqrt(const double &x)
{
#if EIGEN_COMP_GNUC
return internal::pfirst(__builtin_ia32_sqrtsd(_mm_set_sd(x)));
#else
return internal::pfirst(_mm_sqrt_pd(_mm_set_sd(x)));
#endif
}
} // end namespace numex
} // end namespace Eigen
#endif // EIGEN_MATH_FUNCTIONS_SSE_H