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[libc][math] Refactor asin implementation to header-only in src/__support/math folder. #148578

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1 change: 1 addition & 0 deletions libc/shared/math.h
Original file line number Diff line number Diff line change
Expand Up @@ -17,6 +17,7 @@
#include "math/acoshf.h"
#include "math/acoshf16.h"
#include "math/acospif16.h"
#include "math/asin.h"
#include "math/erff.h"
#include "math/exp.h"
#include "math/exp10.h"
Expand Down
23 changes: 23 additions & 0 deletions libc/shared/math/asin.h
Original file line number Diff line number Diff line change
@@ -0,0 +1,23 @@
//===-- Shared asin function ------------------------------------*- C++ -*-===//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===----------------------------------------------------------------------===//

#ifndef LLVM_LIBC_SHARED_MATH_ASIN_H
#define LLVM_LIBC_SHARED_MATH_ASIN_H

#include "shared/libc_common.h"
#include "src/__support/math/asin.h"

namespace LIBC_NAMESPACE_DECL {
namespace shared {

using math::asin;

} // namespace shared
} // namespace LIBC_NAMESPACE_DECL

#endif // LLVM_LIBC_SHARED_MATH_ASIN_H
18 changes: 17 additions & 1 deletion libc/src/__support/math/CMakeLists.txt
Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,6 @@ add_header_library(
acos.h
DEPENDS
.asin_utils
libc.src.__support.math.asin_utils
libc.src.__support.FPUtil.double_double
libc.src.__support.FPUtil.dyadic_float
libc.src.__support.FPUtil.fenv_impl
Expand Down Expand Up @@ -124,6 +123,23 @@ add_header_library(
libc.src.__support.macros.optimization
)

add_header_library(
asin
HDRS
asin.h
DEPENDS
.asin_utils
libc.src.__support.FPUtil.double_double
libc.src.__support.FPUtil.dyadic_float
libc.src.__support.FPUtil.fenv_impl
libc.src.__support.FPUtil.fp_bits
libc.src.__support.FPUtil.multiply_add
libc.src.__support.FPUtil.polyeval
libc.src.__support.FPUtil.sqrt
libc.src.__support.macros.optimization
libc.src.__support.macros.properties.cpu_features
)

add_header_library(
erff
HDRS
Expand Down
296 changes: 296 additions & 0 deletions libc/src/__support/math/asin.h
Original file line number Diff line number Diff line change
@@ -0,0 +1,296 @@
//===-- Implementation header for asin --------------------------*- C++ -*-===//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===----------------------------------------------------------------------===//

#ifndef LLVM_LIBC_SRC___SUPPORT_MATH_ASIN_H
#define LLVM_LIBC_SRC___SUPPORT_MATH_ASIN_H

#include "asin_utils.h"
#include "src/__support/FPUtil/FEnvImpl.h"
#include "src/__support/FPUtil/FPBits.h"
#include "src/__support/FPUtil/double_double.h"
#include "src/__support/FPUtil/dyadic_float.h"
#include "src/__support/FPUtil/multiply_add.h"
#include "src/__support/FPUtil/sqrt.h"
#include "src/__support/macros/config.h"
#include "src/__support/macros/optimization.h" // LIBC_UNLIKELY
#include "src/__support/macros/properties/cpu_features.h" // LIBC_TARGET_CPU_HAS_FMA
#include "src/__support/math/asin_utils.h"

namespace LIBC_NAMESPACE_DECL {

namespace math {

static constexpr double asin(double x) {
using namespace asin_internal;
using Float128 = fputil::DyadicFloat<128>;
using DoubleDouble = fputil::DoubleDouble;
using FPBits = fputil::FPBits<double>;

FPBits xbits(x);
int x_exp = xbits.get_biased_exponent();

// |x| < 0.5.
if (x_exp < FPBits::EXP_BIAS - 1) {
// |x| < 2^-26.
if (LIBC_UNLIKELY(x_exp < FPBits::EXP_BIAS - 26)) {
// When |x| < 2^-26, the relative error of the approximation asin(x) ~ x
// is:
// |asin(x) - x| / |asin(x)| < |x^3| / (6|x|)
// = x^2 / 6
// < 2^-54
// < epsilon(1)/2.
// So the correctly rounded values of asin(x) are:
// = x + sign(x)*eps(x) if rounding mode = FE_TOWARDZERO,
// or (rounding mode = FE_UPWARD and x is
// negative),
// = x otherwise.
// To simplify the rounding decision and make it more efficient, we use
// fma(x, 2^-54, x) instead.
// Note: to use the formula x + 2^-54*x to decide the correct rounding, we
// do need fma(x, 2^-54, x) to prevent underflow caused by 2^-54*x when
// |x| < 2^-1022. For targets without FMA instructions, when x is close to
// denormal range, we normalize x,
#if defined(LIBC_MATH_HAS_SKIP_ACCURATE_PASS)
return x;
#elif defined(LIBC_TARGET_CPU_HAS_FMA_DOUBLE)
return fputil::multiply_add(x, 0x1.0p-54, x);
#else
if (xbits.abs().uintval() == 0)
return x;
// Get sign(x) * min_normal.
FPBits eps_bits = FPBits::min_normal();
eps_bits.set_sign(xbits.sign());
double eps = eps_bits.get_val();
double normalize_const = (x_exp == 0) ? eps : 0.0;
double scaled_normal =
fputil::multiply_add(x + normalize_const, 0x1.0p54, eps);
return fputil::multiply_add(scaled_normal, 0x1.0p-54, -normalize_const);
#endif // LIBC_MATH_HAS_SKIP_ACCURATE_PASS
}

#ifdef LIBC_MATH_HAS_SKIP_ACCURATE_PASS
return x * asin_eval(x * x);
#else
unsigned idx = 0;
DoubleDouble x_sq = fputil::exact_mult(x, x);
double err = xbits.abs().get_val() * 0x1.0p-51;
// Polynomial approximation:
// p ~ asin(x)/x

DoubleDouble p = asin_eval(x_sq, idx, err);
// asin(x) ~ x * (ASIN_COEFFS[idx][0] + p)
DoubleDouble r0 = fputil::exact_mult(x, p.hi);
double r_lo = fputil::multiply_add(x, p.lo, r0.lo);

// Ziv's accuracy test.

double r_upper = r0.hi + (r_lo + err);
double r_lower = r0.hi + (r_lo - err);

if (LIBC_LIKELY(r_upper == r_lower))
return r_upper;

// Ziv's accuracy test failed, perform 128-bit calculation.

// Recalculate mod 1/64.
idx = static_cast<unsigned>(fputil::nearest_integer(x_sq.hi * 0x1.0p6));

// Get x^2 - idx/64 exactly. When FMA is available, double-double
// multiplication will be correct for all rounding modes. Otherwise we use
// Float128 directly.
Float128 x_f128(x);

#ifdef LIBC_TARGET_CPU_HAS_FMA_DOUBLE
// u = x^2 - idx/64
Float128 u_hi(
fputil::multiply_add(static_cast<double>(idx), -0x1.0p-6, x_sq.hi));
Float128 u = fputil::quick_add(u_hi, Float128(x_sq.lo));
#else
Float128 x_sq_f128 = fputil::quick_mul(x_f128, x_f128);
Float128 u = fputil::quick_add(
x_sq_f128, Float128(static_cast<double>(idx) * (-0x1.0p-6)));
#endif // LIBC_TARGET_CPU_HAS_FMA_DOUBLE

Float128 p_f128 = asin_eval(u, idx);
Float128 r = fputil::quick_mul(x_f128, p_f128);

return static_cast<double>(r);
#endif // LIBC_MATH_HAS_SKIP_ACCURATE_PASS
}
// |x| >= 0.5

double x_abs = xbits.abs().get_val();

// Maintaining the sign:
constexpr double SIGN[2] = {1.0, -1.0};
double x_sign = SIGN[xbits.is_neg()];

// |x| >= 1
if (LIBC_UNLIKELY(x_exp >= FPBits::EXP_BIAS)) {
// x = +-1, asin(x) = +- pi/2
if (x_abs == 1.0) {
// return +- pi/2
return fputil::multiply_add(x_sign, PI_OVER_TWO.hi,
x_sign * PI_OVER_TWO.lo);
}
// |x| > 1, return NaN.
if (xbits.is_quiet_nan())
return x;

// Set domain error for non-NaN input.
if (!xbits.is_nan())
fputil::set_errno_if_required(EDOM);

fputil::raise_except_if_required(FE_INVALID);
return FPBits::quiet_nan().get_val();
}

// When |x| >= 0.5, we perform range reduction as follow:
//
// Assume further that 0.5 <= x < 1, and let:
// y = asin(x)
// We will use the double angle formula:
// cos(2y) = 1 - 2 sin^2(y)
// and the complement angle identity:
// x = sin(y) = cos(pi/2 - y)
// = 1 - 2 sin^2 (pi/4 - y/2)
// So:
// sin(pi/4 - y/2) = sqrt( (1 - x)/2 )
// And hence:
// pi/4 - y/2 = asin( sqrt( (1 - x)/2 ) )
// Equivalently:
// asin(x) = y = pi/2 - 2 * asin( sqrt( (1 - x)/2 ) )
// Let u = (1 - x)/2, then:
// asin(x) = pi/2 - 2 * asin( sqrt(u) )
// Moreover, since 0.5 <= x < 1:
// 0 < u <= 1/4, and 0 < sqrt(u) <= 0.5,
// And hence we can reuse the same polynomial approximation of asin(x) when
// |x| <= 0.5:
// asin(x) ~ pi/2 - 2 * sqrt(u) * P(u),

// u = (1 - |x|)/2
double u = fputil::multiply_add(x_abs, -0.5, 0.5);
// v_hi + v_lo ~ sqrt(u).
// Let:
// h = u - v_hi^2 = (sqrt(u) - v_hi) * (sqrt(u) + v_hi)
// Then:
// sqrt(u) = v_hi + h / (sqrt(u) + v_hi)
// ~ v_hi + h / (2 * v_hi)
// So we can use:
// v_lo = h / (2 * v_hi).
// Then,
// asin(x) ~ pi/2 - 2*(v_hi + v_lo) * P(u)
double v_hi = fputil::sqrt<double>(u);

#ifdef LIBC_MATH_HAS_SKIP_ACCURATE_PASS
double p = asin_eval(u);
double r = x_sign * fputil::multiply_add(-2.0 * v_hi, p, PI_OVER_TWO.hi);
return r;
#else

#ifdef LIBC_TARGET_CPU_HAS_FMA_DOUBLE
double h = fputil::multiply_add(v_hi, -v_hi, u);
#else
DoubleDouble v_hi_sq = fputil::exact_mult(v_hi, v_hi);
double h = (u - v_hi_sq.hi) - v_hi_sq.lo;
#endif // LIBC_TARGET_CPU_HAS_FMA_DOUBLE

// Scale v_lo and v_hi by 2 from the formula:
// vh = v_hi * 2
// vl = 2*v_lo = h / v_hi.
double vh = v_hi * 2.0;
double vl = h / v_hi;

// Polynomial approximation:
// p ~ asin(sqrt(u))/sqrt(u)
unsigned idx = 0;
double err = vh * 0x1.0p-51;

DoubleDouble p = asin_eval(DoubleDouble{0.0, u}, idx, err);

// Perform computations in double-double arithmetic:
// asin(x) = pi/2 - (v_hi + v_lo) * (ASIN_COEFFS[idx][0] + p)
DoubleDouble r0 = fputil::quick_mult(DoubleDouble{vl, vh}, p);
DoubleDouble r = fputil::exact_add(PI_OVER_TWO.hi, -r0.hi);

double r_lo = PI_OVER_TWO.lo - r0.lo + r.lo;

// Ziv's accuracy test.

#ifdef LIBC_TARGET_CPU_HAS_FMA_DOUBLE
double r_upper = fputil::multiply_add(
r.hi, x_sign, fputil::multiply_add(r_lo, x_sign, err));
double r_lower = fputil::multiply_add(
r.hi, x_sign, fputil::multiply_add(r_lo, x_sign, -err));
#else
r_lo *= x_sign;
r.hi *= x_sign;
double r_upper = r.hi + (r_lo + err);
double r_lower = r.hi + (r_lo - err);
#endif // LIBC_TARGET_CPU_HAS_FMA_DOUBLE

if (LIBC_LIKELY(r_upper == r_lower))
return r_upper;

// Ziv's accuracy test failed, we redo the computations in Float128.
// Recalculate mod 1/64.
idx = static_cast<unsigned>(fputil::nearest_integer(u * 0x1.0p6));

// After the first step of Newton-Raphson approximating v = sqrt(u), we have
// that:
// sqrt(u) = v_hi + h / (sqrt(u) + v_hi)
// v_lo = h / (2 * v_hi)
// With error:
// sqrt(u) - (v_hi + v_lo) = h * ( 1/(sqrt(u) + v_hi) - 1/(2*v_hi) )
// = -h^2 / (2*v * (sqrt(u) + v)^2).
// Since:
// (sqrt(u) + v_hi)^2 ~ (2sqrt(u))^2 = 4u,
// we can add another correction term to (v_hi + v_lo) that is:
// v_ll = -h^2 / (2*v_hi * 4u)
// = -v_lo * (h / 4u)
// = -vl * (h / 8u),
// making the errors:
// sqrt(u) - (v_hi + v_lo + v_ll) = O(h^3)
// well beyond 128-bit precision needed.

// Get the rounding error of vl = 2 * v_lo ~ h / vh
// Get full product of vh * vl
#ifdef LIBC_TARGET_CPU_HAS_FMA_DOUBLE
double vl_lo = fputil::multiply_add(-v_hi, vl, h) / v_hi;
#else
DoubleDouble vh_vl = fputil::exact_mult(v_hi, vl);
double vl_lo = ((h - vh_vl.hi) - vh_vl.lo) / v_hi;
#endif // LIBC_TARGET_CPU_HAS_FMA_DOUBLE
// vll = 2*v_ll = -vl * (h / (4u)).
double t = h * (-0.25) / u;
double vll = fputil::multiply_add(vl, t, vl_lo);
// m_v = -(v_hi + v_lo + v_ll).
Float128 m_v = fputil::quick_add(
Float128(vh), fputil::quick_add(Float128(vl), Float128(vll)));
m_v.sign = Sign::NEG;

// Perform computations in Float128:
// asin(x) = pi/2 - (v_hi + v_lo + vll) * P(u).
Float128 y_f128(fputil::multiply_add(static_cast<double>(idx), -0x1.0p-6, u));

Float128 p_f128 = asin_eval(y_f128, idx);
Float128 r0_f128 = fputil::quick_mul(m_v, p_f128);
Float128 r_f128 = fputil::quick_add(PI_OVER_TWO_F128, r0_f128);

if (xbits.is_neg())
r_f128.sign = Sign::NEG;

return static_cast<double>(r_f128);
#endif // LIBC_MATH_HAS_SKIP_ACCURATE_PASS
}

} // namespace math

} // namespace LIBC_NAMESPACE_DECL

#endif // LLVM_LIBC_SRC___SUPPORT_MATH_ASIN_H
11 changes: 1 addition & 10 deletions libc/src/math/generic/CMakeLists.txt
Original file line number Diff line number Diff line change
Expand Up @@ -3993,16 +3993,7 @@ add_entrypoint_object(
HDRS
../asin.h
DEPENDS
libc.src.__support.math.asin_utils
libc.src.__support.FPUtil.double_double
libc.src.__support.FPUtil.dyadic_float
libc.src.__support.FPUtil.fenv_impl
libc.src.__support.FPUtil.fp_bits
libc.src.__support.FPUtil.multiply_add
libc.src.__support.FPUtil.polyeval
libc.src.__support.FPUtil.sqrt
libc.src.__support.macros.optimization
libc.src.__support.macros.properties.cpu_features
libc.src.__support.math.asin
)

add_entrypoint_object(
Expand Down
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