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1//===-- Double-precision e^x - 1 function ---------------------------------===//2//3// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.4// See https://llvm.org/LICENSE.txt for license information.5// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception6//7//===----------------------------------------------------------------------===//8 9#include "src/math/expm1.h"10#include "src/__support/CPP/bit.h"11#include "src/__support/FPUtil/FEnvImpl.h"12#include "src/__support/FPUtil/FPBits.h"13#include "src/__support/FPUtil/PolyEval.h"14#include "src/__support/FPUtil/double_double.h"15#include "src/__support/FPUtil/dyadic_float.h"16#include "src/__support/FPUtil/except_value_utils.h"17#include "src/__support/FPUtil/multiply_add.h"18#include "src/__support/FPUtil/rounding_mode.h"19#include "src/__support/FPUtil/triple_double.h"20#include "src/__support/common.h"21#include "src/__support/integer_literals.h"22#include "src/__support/macros/config.h"23#include "src/__support/macros/optimization.h" // LIBC_UNLIKELY24#include "src/__support/math/common_constants.h" // Lookup tables EXP_M1 and EXP_M2.25#include "src/__support/math/exp_constants.h"26 27#if ((LIBC_MATH & LIBC_MATH_SKIP_ACCURATE_PASS) != 0)28#define LIBC_MATH_EXPM1_SKIP_ACCURATE_PASS29#endif30 31namespace LIBC_NAMESPACE_DECL {32 33using fputil::DoubleDouble;34using fputil::TripleDouble;35using Float128 = typename fputil::DyadicFloat<128>;36 37using LIBC_NAMESPACE::operator""_u128;38 39// log2(e)40constexpr double LOG2_E = 0x1.71547652b82fep+0;41 42// Error bounds:43// Errors when using double precision.44// 0x1.8p-63;45constexpr uint64_t ERR_D = 0x3c08000000000000;46// Errors when using double-double precision.47// 0x1.0p-9948[[maybe_unused]] constexpr uint64_t ERR_DD = 0x39c0000000000000;49 50// -2^-12 * log(2)51// > a = -2^-12 * log(2);52// > b = round(a, 30, RN);53// > c = round(a - b, 30, RN);54// > d = round(a - b - c, D, RN);55// Errors < 1.5 * 2^-13356constexpr double MLOG_2_EXP2_M12_HI = -0x1.62e42ffp-13;57constexpr double MLOG_2_EXP2_M12_MID = 0x1.718432a1b0e26p-47;58constexpr double MLOG_2_EXP2_M12_MID_30 = 0x1.718432ap-47;59constexpr double MLOG_2_EXP2_M12_LO = 0x1.b0e2633fe0685p-79;60 61namespace {62 63using namespace common_constants_internal;64 65// Polynomial approximations with double precision:66// Return expm1(dx) / x ~ 1 + dx / 2 + dx^2 / 6 + dx^3 / 24.67// For |dx| < 2^-13 + 2^-30:68//   | output - expm1(dx) / dx | < 2^-51.69LIBC_INLINE double poly_approx_d(double dx) {70  // dx^271  double dx2 = dx * dx;72  // c0 = 1 + dx / 273  double c0 = fputil::multiply_add(dx, 0.5, 1.0);74  // c1 = 1/6 + dx / 2475  double c1 =76      fputil::multiply_add(dx, 0x1.5555555555555p-5, 0x1.5555555555555p-3);77  // p = dx^2 * c1 + c0 = 1 + dx / 2 + dx^2 / 6 + dx^3 / 2478  double p = fputil::multiply_add(dx2, c1, c0);79  return p;80}81 82// Polynomial approximation with double-double precision:83// Return expm1(dx) / dx ~ 1 + dx / 2 + dx^2 / 6 + ... + dx^6 / 504084// For |dx| < 2^-13 + 2^-30:85//   | output - expm1(dx) | < 2^-10186DoubleDouble poly_approx_dd(const DoubleDouble &dx) {87  // Taylor polynomial.88  constexpr DoubleDouble COEFFS[] = {89      {0, 0x1p0},                                      // 190      {0, 0x1p-1},                                     // 1/291      {0x1.5555555555555p-57, 0x1.5555555555555p-3},   // 1/692      {0x1.5555555555555p-59, 0x1.5555555555555p-5},   // 1/2493      {0x1.1111111111111p-63, 0x1.1111111111111p-7},   // 1/12094      {-0x1.f49f49f49f49fp-65, 0x1.6c16c16c16c17p-10}, // 1/72095      {0x1.a01a01a01a01ap-73, 0x1.a01a01a01a01ap-13},  // 1/504096  };97 98  DoubleDouble p = fputil::polyeval(dx, COEFFS[0], COEFFS[1], COEFFS[2],99                                    COEFFS[3], COEFFS[4], COEFFS[5], COEFFS[6]);100  return p;101}102 103// Polynomial approximation with 128-bit precision:104// Return (exp(dx) - 1)/dx ~ 1 + dx / 2 + dx^2 / 6 + ... + dx^6 / 5040105// For |dx| < 2^-13 + 2^-30:106//   | output - exp(dx) | < 2^-126.107[[maybe_unused]] Float128 poly_approx_f128(const Float128 &dx) {108  constexpr Float128 COEFFS_128[]{109      {Sign::POS, -127, 0x80000000'00000000'00000000'00000000_u128}, // 1.0110      {Sign::POS, -128, 0x80000000'00000000'00000000'00000000_u128}, // 0.5111      {Sign::POS, -130, 0xaaaaaaaa'aaaaaaaa'aaaaaaaa'aaaaaaab_u128}, // 1/6112      {Sign::POS, -132, 0xaaaaaaaa'aaaaaaaa'aaaaaaaa'aaaaaaab_u128}, // 1/24113      {Sign::POS, -134, 0x88888888'88888888'88888888'88888889_u128}, // 1/120114      {Sign::POS, -137, 0xb60b60b6'0b60b60b'60b60b60'b60b60b6_u128}, // 1/720115      {Sign::POS, -140, 0xd00d00d0'0d00d00d'00d00d00'd00d00d0_u128}, // 1/5040116  };117 118  Float128 p = fputil::polyeval(dx, COEFFS_128[0], COEFFS_128[1], COEFFS_128[2],119                                COEFFS_128[3], COEFFS_128[4], COEFFS_128[5],120                                COEFFS_128[6]);121  return p;122}123 124#ifdef DEBUGDEBUG125std::ostream &operator<<(std::ostream &OS, const Float128 &r) {126  OS << (r.sign == Sign::NEG ? "-(" : "(") << r.mantissa.val[0] << " + "127     << r.mantissa.val[1] << " * 2^64) * 2^" << r.exponent << "\n";128  return OS;129}130 131std::ostream &operator<<(std::ostream &OS, const DoubleDouble &r) {132  OS << std::hexfloat << "(" << r.hi << " + " << r.lo << ")"133     << std::defaultfloat << "\n";134  return OS;135}136#endif137 138// Compute exp(x) - 1 using 128-bit precision.139// TODO(lntue): investigate triple-double precision implementation for this140// step.141[[maybe_unused]] Float128 expm1_f128(double x, double kd, int idx1, int idx2) {142  // Recalculate dx:143 144  double t1 = fputil::multiply_add(kd, MLOG_2_EXP2_M12_HI, x); // exact145  double t2 = kd * MLOG_2_EXP2_M12_MID_30;                     // exact146  double t3 = kd * MLOG_2_EXP2_M12_LO;                         // Error < 2^-133147 148  Float128 dx = fputil::quick_add(149      Float128(t1), fputil::quick_add(Float128(t2), Float128(t3)));150 151  // TODO: Skip recalculating exp_mid1 and exp_mid2.152  Float128 exp_mid1 =153      fputil::quick_add(Float128(EXP2_MID1[idx1].hi),154                        fputil::quick_add(Float128(EXP2_MID1[idx1].mid),155                                          Float128(EXP2_MID1[idx1].lo)));156 157  Float128 exp_mid2 =158      fputil::quick_add(Float128(EXP2_MID2[idx2].hi),159                        fputil::quick_add(Float128(EXP2_MID2[idx2].mid),160                                          Float128(EXP2_MID2[idx2].lo)));161 162  Float128 exp_mid = fputil::quick_mul(exp_mid1, exp_mid2);163 164  int hi = static_cast<int>(kd) >> 12;165  Float128 minus_one{Sign::NEG, -127 - hi,166                     0x80000000'00000000'00000000'00000000_u128};167 168  Float128 exp_mid_m1 = fputil::quick_add(exp_mid, minus_one);169 170  Float128 p = poly_approx_f128(dx);171 172  // r = exp_mid * (1 + dx * P) - 1173  //   = (exp_mid - 1) + (dx * exp_mid) * P174  Float128 r =175      fputil::multiply_add(fputil::quick_mul(exp_mid, dx), p, exp_mid_m1);176 177  r.exponent += hi;178 179#ifdef DEBUGDEBUG180  std::cout << "=== VERY SLOW PASS ===\n"181            << "        kd: " << kd << "\n"182            << "        hi: " << hi << "\n"183            << " minus_one: " << minus_one << "        dx: " << dx184            << "exp_mid_m1: " << exp_mid_m1 << "   exp_mid: " << exp_mid185            << "         p: " << p << "         r: " << r << std::endl;186#endif187 188  return r;189}190 191// Compute exp(x) - 1 with double-double precision.192DoubleDouble exp_double_double(double x, double kd, const DoubleDouble &exp_mid,193                               const DoubleDouble &hi_part) {194  // Recalculate dx:195  //   dx = x - k * 2^-12 * log(2)196  double t1 = fputil::multiply_add(kd, MLOG_2_EXP2_M12_HI, x); // exact197  double t2 = kd * MLOG_2_EXP2_M12_MID_30;                     // exact198  double t3 = kd * MLOG_2_EXP2_M12_LO;                         // Error < 2^-130199 200  DoubleDouble dx = fputil::exact_add(t1, t2);201  dx.lo += t3;202 203  // Degree-6 Taylor polynomial approximation in double-double precision.204  // | p - exp(x) | < 2^-100.205  DoubleDouble p = poly_approx_dd(dx);206 207  // Error bounds: 2^-99.208  DoubleDouble r =209      fputil::multiply_add(fputil::quick_mult(exp_mid, dx), p, hi_part);210 211#ifdef DEBUGDEBUG212  std::cout << "=== SLOW PASS ===\n"213            << "   dx: " << dx << "    p: " << p << "    r: " << r << std::endl;214#endif215 216  return r;217}218 219// Check for exceptional cases when220// |x| <= 2^-53 or x < log(2^-54) or x >= 0x1.6232bdd7abcd3p+9221double set_exceptional(double x) {222  using FPBits = typename fputil::FPBits<double>;223  FPBits xbits(x);224 225  uint64_t x_u = xbits.uintval();226  uint64_t x_abs = xbits.abs().uintval();227 228  // |x| <= 2^-53.229  if (x_abs <= 0x3ca0'0000'0000'0000ULL) {230    // expm1(x) ~ x.231 232    if (LIBC_UNLIKELY(x_abs <= 0x0370'0000'0000'0000ULL)) {233      if (LIBC_UNLIKELY(x_abs == 0))234        return x;235      // |x| <= 2^-968, need to scale up a bit before rounding, then scale it236      // back down.237      return 0x1.0p-200 * fputil::multiply_add(x, 0x1.0p+200, 0x1.0p-1022);238    }239 240    // 2^-968 < |x| <= 2^-53.241    return fputil::round_result_slightly_up(x);242  }243 244  // x < log(2^-54) || x >= 0x1.6232bdd7abcd3p+9 or inf/nan.245 246  // x < log(2^-54) or -inf/nan247  if (x_u >= 0xc042'b708'8723'20e2ULL) {248    // expm1(-Inf) = -1249    if (xbits.is_inf())250      return -1.0;251 252    // exp(nan) = nan253    if (xbits.is_nan())254      return x;255 256    return fputil::round_result_slightly_up(-1.0);257  }258 259  // x >= round(log(MAX_NORMAL), D, RU) = 0x1.62e42fefa39fp+9 or +inf/nan260  // x is finite261  if (x_u < 0x7ff0'0000'0000'0000ULL) {262    int rounding = fputil::quick_get_round();263    if (rounding == FE_DOWNWARD || rounding == FE_TOWARDZERO)264      return FPBits::max_normal().get_val();265 266    fputil::set_errno_if_required(ERANGE);267    fputil::raise_except_if_required(FE_OVERFLOW);268  }269  // x is +inf or nan270  return x + FPBits::inf().get_val();271}272 273} // namespace274 275LLVM_LIBC_FUNCTION(double, expm1, (double x)) {276  using FPBits = typename fputil::FPBits<double>;277 278  FPBits xbits(x);279 280  bool x_is_neg = xbits.is_neg();281  uint64_t x_u = xbits.uintval();282 283  // Upper bound: max normal number = 2^1023 * (2 - 2^-52)284  // > round(log (2^1023 ( 2 - 2^-52 )), D, RU) = 0x1.62e42fefa39fp+9285  // > round(log (2^1023 ( 2 - 2^-52 )), D, RD) = 0x1.62e42fefa39efp+9286  // > round(log (2^1023 ( 2 - 2^-52 )), D, RN) = 0x1.62e42fefa39efp+9287  // > round(exp(0x1.62e42fefa39fp+9), D, RN) = infty288 289  // Lower bound: log(2^-54) = -0x1.2b708872320e2p5290  // > round(log(2^-54), D, RN) = -0x1.2b708872320e2p5291 292  // x < log(2^-54) or x >= 0x1.6232bdd7abcd3p+9 or |x| <= 2^-53.293 294  if (LIBC_UNLIKELY(x_u >= 0xc042b708872320e2 ||295                    (x_u <= 0xbca0000000000000 && x_u >= 0x40862e42fefa39f0) ||296                    x_u <= 0x3ca0000000000000)) {297    return set_exceptional(x);298  }299 300  // Now log(2^-54) <= x <= -2^-53 or 2^-53 <= x < log(2^1023 * (2 - 2^-52))301 302  // Range reduction:303  // Let x = log(2) * (hi + mid1 + mid2) + lo304  // in which:305  //   hi is an integer306  //   mid1 * 2^6 is an integer307  //   mid2 * 2^12 is an integer308  // then:309  //   exp(x) = 2^hi * 2^(mid1) * 2^(mid2) * exp(lo).310  // With this formula:311  //   - multiplying by 2^hi is exact and cheap, simply by adding the exponent312  //     field.313  //   - 2^(mid1) and 2^(mid2) are stored in 2 x 64-element tables.314  //   - exp(lo) ~ 1 + lo + a0 * lo^2 + ...315  //316  // They can be defined by:317  //   hi + mid1 + mid2 = 2^(-12) * round(2^12 * log_2(e) * x)318  // If we store L2E = round(log2(e), D, RN), then:319  //   log2(e) - L2E ~ 1.5 * 2^(-56)320  // So the errors when computing in double precision is:321  //   | x * 2^12 * log_2(e) - D(x * 2^12 * L2E) | <=322  //  <= | x * 2^12 * log_2(e) - x * 2^12 * L2E | +323  //     + | x * 2^12 * L2E - D(x * 2^12 * L2E) |324  //  <= 2^12 * ( |x| * 1.5 * 2^-56 + eps(x))  for RN325  //     2^12 * ( |x| * 1.5 * 2^-56 + 2*eps(x)) for other rounding modes.326  // So if:327  //   hi + mid1 + mid2 = 2^(-12) * round(x * 2^12 * L2E) is computed entirely328  // in double precision, the reduced argument:329  //   lo = x - log(2) * (hi + mid1 + mid2) is bounded by:330  //   |lo| <= 2^-13 + (|x| * 1.5 * 2^-56 + 2*eps(x))331  //         < 2^-13 + (1.5 * 2^9 * 1.5 * 2^-56 + 2*2^(9 - 52))332  //         < 2^-13 + 2^-41333  //334 335  // The following trick computes the round(x * L2E) more efficiently336  // than using the rounding instructions, with the tradeoff for less accuracy,337  // and hence a slightly larger range for the reduced argument `lo`.338  //339  // To be precise, since |x| < |log(2^-1075)| < 1.5 * 2^9,340  //   |x * 2^12 * L2E| < 1.5 * 2^9 * 1.5 < 2^23,341  // So we can fit the rounded result round(x * 2^12 * L2E) in int32_t.342  // Thus, the goal is to be able to use an additional addition and fixed width343  // shift to get an int32_t representing round(x * 2^12 * L2E).344  //345  // Assuming int32_t using 2-complement representation, since the mantissa part346  // of a double precision is unsigned with the leading bit hidden, if we add an347  // extra constant C = 2^e1 + 2^e2 with e1 > e2 >= 2^25 to the product, the348  // part that are < 2^e2 in resulted mantissa of (x*2^12*L2E + C) can be349  // considered as a proper 2-complement representations of x*2^12*L2E.350  //351  // One small problem with this approach is that the sum (x*2^12*L2E + C) in352  // double precision is rounded to the least significant bit of the dorminant353  // factor C.  In order to minimize the rounding errors from this addition, we354  // want to minimize e1.  Another constraint that we want is that after355  // shifting the mantissa so that the least significant bit of int32_t356  // corresponds to the unit bit of (x*2^12*L2E), the sign is correct without357  // any adjustment.  So combining these 2 requirements, we can choose358  //   C = 2^33 + 2^32, so that the sign bit corresponds to 2^31 bit, and hence359  // after right shifting the mantissa, the resulting int32_t has correct sign.360  // With this choice of C, the number of mantissa bits we need to shift to the361  // right is: 52 - 33 = 19.362  //363  // Moreover, since the integer right shifts are equivalent to rounding down,364  // we can add an extra 0.5 so that it will become round-to-nearest, tie-to-365  // +infinity.  So in particular, we can compute:366  //   hmm = x * 2^12 * L2E + C,367  // where C = 2^33 + 2^32 + 2^-1, then if368  //   k = int32_t(lower 51 bits of double(x * 2^12 * L2E + C) >> 19),369  // the reduced argument:370  //   lo = x - log(2) * 2^-12 * k is bounded by:371  //   |lo| <= 2^-13 + 2^-41 + 2^-12*2^-19372  //         = 2^-13 + 2^-31 + 2^-41.373  //374  // Finally, notice that k only uses the mantissa of x * 2^12 * L2E, so the375  // exponent 2^12 is not needed.  So we can simply define376  //   C = 2^(33 - 12) + 2^(32 - 12) + 2^(-13 - 12), and377  //   k = int32_t(lower 51 bits of double(x * L2E + C) >> 19).378 379  // Rounding errors <= 2^-31 + 2^-41.380  double tmp = fputil::multiply_add(x, LOG2_E, 0x1.8000'0000'4p21);381  int k = static_cast<int>(cpp::bit_cast<uint64_t>(tmp) >> 19);382  double kd = static_cast<double>(k);383 384  uint32_t idx1 = (k >> 6) & 0x3f;385  uint32_t idx2 = k & 0x3f;386  int hi = k >> 12;387 388  DoubleDouble exp_mid1{EXP2_MID1[idx1].mid, EXP2_MID1[idx1].hi};389  DoubleDouble exp_mid2{EXP2_MID2[idx2].mid, EXP2_MID2[idx2].hi};390 391  DoubleDouble exp_mid = fputil::quick_mult(exp_mid1, exp_mid2);392 393  // -2^(-hi)394  double one_scaled =395      FPBits::create_value(Sign::NEG, FPBits::EXP_BIAS - hi, 0).get_val();396 397  // 2^(mid1 + mid2) - 2^(-hi)398  DoubleDouble hi_part = x_is_neg ? fputil::exact_add(one_scaled, exp_mid.hi)399                                  : fputil::exact_add(exp_mid.hi, one_scaled);400 401  hi_part.lo += exp_mid.lo;402 403  // |x - (hi + mid1 + mid2) * log(2) - dx| < 2^11 * eps(M_LOG_2_EXP2_M12.lo)404  //                                        = 2^11 * 2^-13 * 2^-52405  //                                        = 2^-54.406  // |dx| < 2^-13 + 2^-30.407  double lo_h = fputil::multiply_add(kd, MLOG_2_EXP2_M12_HI, x); // exact408  double dx = fputil::multiply_add(kd, MLOG_2_EXP2_M12_MID, lo_h);409 410  // We use the degree-4 Taylor polynomial to approximate exp(lo):411  //   exp(lo) ~ 1 + lo + lo^2 / 2 + lo^3 / 6 + lo^4 / 24 = 1 + lo * P(lo)412  // So that the errors are bounded by:413  //   |P(lo) - expm1(lo)/lo| < |lo|^4 / 64 < 2^(-13 * 4) / 64 = 2^-58414  // Let P_ be an evaluation of P where all intermediate computations are in415  // double precision.  Using either Horner's or Estrin's schemes, the evaluated416  // errors can be bounded by:417  //      |P_(dx) - P(dx)| < 2^-51418  //   => |dx * P_(dx) - expm1(lo) | < 1.5 * 2^-64419  //   => 2^(mid1 + mid2) * |dx * P_(dx) - expm1(lo)| < 1.5 * 2^-63.420  // Since we approximate421  //   2^(mid1 + mid2) ~ exp_mid.hi + exp_mid.lo,422  // We use the expression:423  //    (exp_mid.hi + exp_mid.lo) * (1 + dx * P_(dx)) ~424  //  ~ exp_mid.hi + (exp_mid.hi * dx * P_(dx) + exp_mid.lo)425  // with errors bounded by 1.5 * 2^-63.426 427  // Finally, we have the following approximation formula:428  //   expm1(x) = 2^hi * 2^(mid1 + mid2) * exp(lo) - 1429  //            = 2^hi * ( 2^(mid1 + mid2) * exp(lo) - 2^(-hi) )430  //            ~ 2^hi * ( (exp_mid.hi - 2^-hi) +431  //                       + (exp_mid.hi * dx * P_(dx) + exp_mid.lo))432 433  double mid_lo = dx * exp_mid.hi;434 435  // Approximate expm1(dx)/dx ~ 1 + dx / 2 + dx^2 / 6 + dx^3 / 24.436  double p = poly_approx_d(dx);437 438  double lo = fputil::multiply_add(p, mid_lo, hi_part.lo);439 440  // TODO: The following line leaks encoding abstraction. Use FPBits methods441  // instead.442  uint64_t err = x_is_neg ? (static_cast<uint64_t>(-hi) << 52) : 0;443 444  double err_d = cpp::bit_cast<double>(ERR_D + err);445 446  double upper = hi_part.hi + (lo + err_d);447  double lower = hi_part.hi + (lo - err_d);448 449#ifdef DEBUGDEBUG450  std::cout << "=== FAST PASS ===\n"451            << "      x: " << std::hexfloat << x << std::defaultfloat << "\n"452            << "      k: " << k << "\n"453            << "   idx1: " << idx1 << "\n"454            << "   idx2: " << idx2 << "\n"455            << "     hi: " << hi << "\n"456            << "     dx: " << std::hexfloat << dx << std::defaultfloat << "\n"457            << "exp_mid: " << exp_mid << "hi_part: " << hi_part458            << " mid_lo: " << std::hexfloat << mid_lo << std::defaultfloat459            << "\n"460            << "      p: " << std::hexfloat << p << std::defaultfloat << "\n"461            << "     lo: " << std::hexfloat << lo << std::defaultfloat << "\n"462            << "  upper: " << std::hexfloat << upper << std::defaultfloat463            << "\n"464            << "  lower: " << std::hexfloat << lower << std::defaultfloat465            << "\n"466            << std::endl;467#endif468 469  if (LIBC_LIKELY(upper == lower)) {470    // to multiply by 2^hi, a fast way is to simply add hi to the exponent471    // field.472    int64_t exp_hi = static_cast<int64_t>(hi) << FPBits::FRACTION_LEN;473    double r = cpp::bit_cast<double>(exp_hi + cpp::bit_cast<int64_t>(upper));474    return r;475  }476 477  // Use double-double478  DoubleDouble r_dd = exp_double_double(x, kd, exp_mid, hi_part);479 480#ifdef LIBC_MATH_EXPM1_SKIP_ACCURATE_PASS481  int64_t exp_hi = static_cast<int64_t>(hi) << FPBits::FRACTION_LEN;482  double r =483      cpp::bit_cast<double>(exp_hi + cpp::bit_cast<int64_t>(r_dd.hi + r_dd.lo));484  return r;485#else486  double err_dd = cpp::bit_cast<double>(ERR_DD + err);487 488  double upper_dd = r_dd.hi + (r_dd.lo + err_dd);489  double lower_dd = r_dd.hi + (r_dd.lo - err_dd);490 491  if (LIBC_LIKELY(upper_dd == lower_dd)) {492    int64_t exp_hi = static_cast<int64_t>(hi) << FPBits::FRACTION_LEN;493    double r = cpp::bit_cast<double>(exp_hi + cpp::bit_cast<int64_t>(upper_dd));494    return r;495  }496 497  // Use 128-bit precision498  Float128 r_f128 = expm1_f128(x, kd, idx1, idx2);499 500  return static_cast<double>(r_f128);501#endif // LIBC_MATH_EXPM1_SKIP_ACCURATE_PASS502}503 504} // namespace LIBC_NAMESPACE_DECL505