glibc/sysdeps/aarch64/fpu/exp10f_advsimd.c
Joe Ramsay 90a6ca8b28 aarch64: Fix AdvSIMD libmvec routines for big-endian
Previously many routines used * to load from vector types stored
in the data table. This is emitted as ldr, which byte-swaps the
entire vector register, and causes bugs for big-endian when not
all lanes contain the same value. When a vector is to be used
this way, it has been replaced with an array and the load with an
explicit ld1 intrinsic, which byte-swaps only within lanes.

As well, many routines previously used non-standard GCC syntax
for vector operations such as indexing into vectors types with []
and assembling vectors using {}. This syntax should not be mixed
with ACLE, as the former does not respect endianness whereas the
latter does. Such examples have been replaced with, for instance,
vcombine_* and vgetq_lane* intrinsics. Helpers which only use the
GCC syntax, such as the v_call helpers, do not need changing as
they do not use intrinsics.

Reviewed-by: Szabolcs Nagy <szabolcs.nagy@arm.com>
2024-05-14 13:10:33 +01:00

144 lines
5.0 KiB
C

/* Single-precision vector (AdvSIMD) exp10 function.
Copyright (C) 2023-2024 Free Software Foundation, Inc.
This file is part of the GNU C Library.
The GNU C Library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2.1 of the License, or (at your option) any later version.
The GNU C Library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with the GNU C Library; if not, see
<https://www.gnu.org/licenses/>. */
#include "v_math.h"
#include "poly_advsimd_f32.h"
#define ScaleBound 192.0f
static const struct data
{
float32x4_t poly[5];
float log10_2_and_inv[4];
float32x4_t shift;
#if !WANT_SIMD_EXCEPT
float32x4_t scale_thresh;
#endif
} data = {
/* Coefficients generated using Remez algorithm with minimisation of relative
error.
rel error: 0x1.89dafa3p-24
abs error: 0x1.167d55p-23 in [-log10(2)/2, log10(2)/2]
maxerr: 1.85943 +0.5 ulp. */
.poly = { V4 (0x1.26bb16p+1f), V4 (0x1.5350d2p+1f), V4 (0x1.04744ap+1f),
V4 (0x1.2d8176p+0f), V4 (0x1.12b41ap-1f) },
.shift = V4 (0x1.8p23f),
/* Stores constants 1/log10(2), log10(2)_high, log10(2)_low, 0. */
.log10_2_and_inv = { 0x1.a934fp+1, 0x1.344136p-2, -0x1.ec10cp-27, 0 },
#if !WANT_SIMD_EXCEPT
.scale_thresh = V4 (ScaleBound)
#endif
};
#define ExponentBias v_u32 (0x3f800000)
#if WANT_SIMD_EXCEPT
# define SpecialBound 38.0f /* rint(log10(2^127)). */
# define TinyBound v_u32 (0x20000000) /* asuint (0x1p-63). */
# define BigBound v_u32 (0x42180000) /* asuint (SpecialBound). */
# define Thres v_u32 (0x22180000) /* BigBound - TinyBound. */
static float32x4_t VPCS_ATTR NOINLINE
special_case (float32x4_t x, float32x4_t y, uint32x4_t cmp)
{
/* If fenv exceptions are to be triggered correctly, fall back to the scalar
routine to special lanes. */
return v_call_f32 (exp10f, x, y, cmp);
}
#else
# define SpecialBound 126.0f /* rint (log2 (2^127 / (1 + sqrt (2)))). */
# define SpecialOffset v_u32 (0x82000000)
# define SpecialBias v_u32 (0x7f000000)
static float32x4_t VPCS_ATTR NOINLINE
special_case (float32x4_t poly, float32x4_t n, uint32x4_t e, uint32x4_t cmp1,
float32x4_t scale, const struct data *d)
{
/* 2^n may overflow, break it up into s1*s2. */
uint32x4_t b = vandq_u32 (vclezq_f32 (n), SpecialOffset);
float32x4_t s1 = vreinterpretq_f32_u32 (vaddq_u32 (b, SpecialBias));
float32x4_t s2 = vreinterpretq_f32_u32 (vsubq_u32 (e, b));
uint32x4_t cmp2 = vcagtq_f32 (n, d->scale_thresh);
float32x4_t r2 = vmulq_f32 (s1, s1);
float32x4_t r1 = vmulq_f32 (vfmaq_f32 (s2, poly, s2), s1);
/* Similar to r1 but avoids double rounding in the subnormal range. */
float32x4_t r0 = vfmaq_f32 (scale, poly, scale);
float32x4_t r = vbslq_f32 (cmp1, r1, r0);
return vbslq_f32 (cmp2, r2, r);
}
#endif
/* Fast vector implementation of single-precision exp10.
Algorithm is accurate to 2.36 ULP.
_ZGVnN4v_exp10f(0x1.be2b36p+1) got 0x1.7e79c4p+11
want 0x1.7e79cp+11. */
float32x4_t VPCS_ATTR NOINLINE V_NAME_F1 (exp10) (float32x4_t x)
{
const struct data *d = ptr_barrier (&data);
#if WANT_SIMD_EXCEPT
/* asuint(x) - TinyBound >= BigBound - TinyBound. */
uint32x4_t cmp = vcgeq_u32 (
vsubq_u32 (vreinterpretq_u32_f32 (vabsq_f32 (x)), TinyBound), Thres);
float32x4_t xm = x;
/* If any lanes are special, mask them with 1 and retain a copy of x to allow
special case handler to fix special lanes later. This is only necessary if
fenv exceptions are to be triggered correctly. */
if (__glibc_unlikely (v_any_u32 (cmp)))
x = v_zerofy_f32 (x, cmp);
#endif
/* exp10(x) = 2^n * 10^r = 2^n * (1 + poly (r)),
with poly(r) in [1/sqrt(2), sqrt(2)] and
x = r + n * log10 (2), with r in [-log10(2)/2, log10(2)/2]. */
float32x4_t log10_2_and_inv = vld1q_f32 (d->log10_2_and_inv);
float32x4_t z = vfmaq_laneq_f32 (d->shift, x, log10_2_and_inv, 0);
float32x4_t n = vsubq_f32 (z, d->shift);
float32x4_t r = vfmsq_laneq_f32 (x, n, log10_2_and_inv, 1);
r = vfmsq_laneq_f32 (r, n, log10_2_and_inv, 2);
uint32x4_t e = vshlq_n_u32 (vreinterpretq_u32_f32 (z), 23);
float32x4_t scale = vreinterpretq_f32_u32 (vaddq_u32 (e, ExponentBias));
#if !WANT_SIMD_EXCEPT
uint32x4_t cmp = vcagtq_f32 (n, v_f32 (SpecialBound));
#endif
float32x4_t r2 = vmulq_f32 (r, r);
float32x4_t poly
= vfmaq_f32 (vmulq_f32 (r, d->poly[0]),
v_pairwise_poly_3_f32 (r, r2, d->poly + 1), r2);
if (__glibc_unlikely (v_any_u32 (cmp)))
#if WANT_SIMD_EXCEPT
return special_case (xm, vfmaq_f32 (scale, poly, scale), cmp);
#else
return special_case (poly, n, e, cmp, scale, d);
#endif
return vfmaq_f32 (scale, poly, scale);
}
libmvec_hidden_def (V_NAME_F1 (exp10))
HALF_WIDTH_ALIAS_F1 (exp10)