libc/src/__support/math/log2f.h

//===-- Implementation header for log2f -------------------------*- 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_LOG2F_H
#define LLVM_LIBC_SRC___SUPPORT_MATH_LOG2F_H

#include "common_constants.h" // Lookup table for (1/f)
#include "src/__support/FPUtil/FEnvImpl.h"
#include "src/__support/FPUtil/FPBits.h"
#include "src/__support/FPUtil/PolyEval.h"
#include "src/__support/FPUtil/except_value_utils.h"
#include "src/__support/FPUtil/multiply_add.h"
#include "src/__support/common.h"
#include "src/__support/macros/config.h"
#include "src/__support/macros/optimization.h" // LIBC_UNLIKELY

// This is a correctly-rounded algorithm for log2(x) in single precision with
// round-to-nearest, tie-to-even mode from the RLIBM project at:
// https://people.cs.rutgers.edu/~sn349/rlibm

// Step 1 - Range reduction:
//   For x = 2^m * 1.mant, log2(x) = m + log2(1.m)
//   If x is denormal, we normalize it by multiplying x by 2^23 and subtracting
//   m by 23.

// Step 2 - Another range reduction:
//   To compute log(1.mant), let f be the highest 8 bits including the hidden
// bit, and d be the difference (1.mant - f), i.e. the remaining 16 bits of the
// mantissa. Then we have the following approximation formula:
//   log2(1.mant) = log2(f) + log2(1.mant / f)
//                = log2(f) + log2(1 + d/f)
//                ~ log2(f) + P(d/f)
// since d/f is sufficiently small.
//   log2(f) and 1/f are then stored in two 2^7 = 128 entries look-up tables.

// Step 3 - Polynomial approximation:
//   To compute P(d/f), we use a single degree-5 polynomial in double precision
// which provides correct rounding for all but few exception values.
//   For more detail about how this polynomial is obtained, please refer to the
// papers:
//   Lim, J. and Nagarakatte, S., "One Polynomial Approximation to Produce
// Correctly Rounded Results of an Elementary Function for Multiple
// Representations and Rounding Modes", Proceedings of the 49th ACM SIGPLAN
// Symposium on Principles of Programming Languages (POPL-2022), Philadelphia,
// USA, Jan. 16-22, 2022.
// https://people.cs.rutgers.edu/~sn349/papers/rlibmall-popl-2022.pdf
//   Aanjaneya, M., Lim, J., and Nagarakatte, S., "RLibm-Prog: Progressive
// Polynomial Approximations for Fast Correctly Rounded Math Libraries",
// Dept. of Comp. Sci., Rutgets U., Technical Report DCS-TR-758, Nov. 2021.
// https://arxiv.org/pdf/2111.12852.pdf.

namespace LIBC_NAMESPACE_DECL {

namespace math {

LIBC_INLINE float log2f(float x) {
  using namespace common_constants_internal;
  using FPBits = typename fputil::FPBits<float>;

  FPBits xbits(x);
  uint32_t x_u = xbits.uintval();

  // Hard to round value(s).
  using fputil::round_result_slightly_up;

  int m = -FPBits::EXP_BIAS;

  // log2(1.0f) = 0.0f.
  if (LIBC_UNLIKELY(x_u == 0x3f80'0000U))
    return 0.0f;

  // Exceptional inputs.
  if (LIBC_UNLIKELY(x_u < FPBits::min_normal().uintval() ||
                    x_u > FPBits::max_normal().uintval())) {
    if (x == 0.0f) {
      fputil::set_errno_if_required(ERANGE);
      fputil::raise_except_if_required(FE_DIVBYZERO);
      return FPBits::inf(Sign::NEG).get_val();
    }
    if (xbits.is_neg() && !xbits.is_nan()) {
      fputil::set_errno_if_required(EDOM);
      fputil::raise_except_if_required(FE_INVALID);
      return FPBits::quiet_nan().get_val();
    }
    if (xbits.is_inf_or_nan()) {
      return x;
    }
    // Normalize denormal inputs.
    xbits = FPBits(xbits.get_val() * 0x1.0p23f);
    m -= 23;
  }

  m += xbits.get_biased_exponent();
  int index = xbits.get_mantissa() >> 16;
  // Set bits to 1.m
  xbits.set_biased_exponent(0x7F);

  float u = xbits.get_val();
#ifdef LIBC_TARGET_CPU_HAS_FMA_FLOAT
  double v =
      static_cast<double>(fputil::multiply_add(u, R[index], -1.0f)); // Exact.
#else
  double v =
      fputil::multiply_add(static_cast<double>(u), RD[index], -1.0); // Exact
#endif // LIBC_TARGET_CPU_HAS_FMA_FLOAT

  double extra_factor = static_cast<double>(m) + LOG2_R[index];

  // Degree-5 polynomial approximation of log2 generated by Sollya with:
  // > P = fpminimax(log2(1 + x)/x, 4, [|1, D...|], [-2^-8, 2^-7]);
  constexpr double COEFFS[5] = {0x1.71547652b8133p0, -0x1.71547652d1e33p-1,
                                0x1.ec70a098473dep-2, -0x1.7154c5ccdf121p-2,
                                0x1.2514fd90a130ap-2};

  double vsq = v * v; // Exact
  double c0 = fputil::multiply_add(v, COEFFS[0], extra_factor);
  double c1 = fputil::multiply_add(v, COEFFS[2], COEFFS[1]);
  double c2 = fputil::multiply_add(v, COEFFS[4], COEFFS[3]);

  double r = fputil::polyeval(vsq, c0, c1, c2);

  return static_cast<float>(r);
}

} // namespace math
} // namespace LIBC_NAMESPACE_DECL

#endif // LLVM_LIBC_SRC___SUPPORT_MATH_LOG2F_H