1 | //===-- Single-precision log2(x) 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-exception |
6 | // |
7 | //===----------------------------------------------------------------------===// |
8 | |
9 | #include "src/math/log2f.h" |
10 | #include "common_constants.h" // Lookup table for (1/f) |
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/except_value_utils.h" |
15 | #include "src/__support/FPUtil/multiply_add.h" |
16 | #include "src/__support/common.h" |
17 | #include "src/__support/macros/config.h" |
18 | #include "src/__support/macros/optimization.h" // LIBC_UNLIKELY |
19 | |
20 | // This is a correctly-rounded algorithm for log2(x) in single precision with |
21 | // round-to-nearest, tie-to-even mode from the RLIBM project at: |
22 | // https://people.cs.rutgers.edu/~sn349/rlibm |
23 | |
24 | // Step 1 - Range reduction: |
25 | // For x = 2^m * 1.mant, log2(x) = m + log2(1.m) |
26 | // If x is denormal, we normalize it by multiplying x by 2^23 and subtracting |
27 | // m by 23. |
28 | |
29 | // Step 2 - Another range reduction: |
30 | // To compute log(1.mant), let f be the highest 8 bits including the hidden |
31 | // bit, and d be the difference (1.mant - f), i.e. the remaining 16 bits of the |
32 | // mantissa. Then we have the following approximation formula: |
33 | // log2(1.mant) = log2(f) + log2(1.mant / f) |
34 | // = log2(f) + log2(1 + d/f) |
35 | // ~ log2(f) + P(d/f) |
36 | // since d/f is sufficiently small. |
37 | // log2(f) and 1/f are then stored in two 2^7 = 128 entries look-up tables. |
38 | |
39 | // Step 3 - Polynomial approximation: |
40 | // To compute P(d/f), we use a single degree-5 polynomial in double precision |
41 | // which provides correct rounding for all but few exception values. |
42 | // For more detail about how this polynomial is obtained, please refer to the |
43 | // papers: |
44 | // Lim, J. and Nagarakatte, S., "One Polynomial Approximation to Produce |
45 | // Correctly Rounded Results of an Elementary Function for Multiple |
46 | // Representations and Rounding Modes", Proceedings of the 49th ACM SIGPLAN |
47 | // Symposium on Principles of Programming Languages (POPL-2022), Philadelphia, |
48 | // USA, Jan. 16-22, 2022. |
49 | // https://people.cs.rutgers.edu/~sn349/papers/rlibmall-popl-2022.pdf |
50 | // Aanjaneya, M., Lim, J., and Nagarakatte, S., "RLibm-Prog: Progressive |
51 | // Polynomial Approximations for Fast Correctly Rounded Math Libraries", |
52 | // Dept. of Comp. Sci., Rutgets U., Technical Report DCS-TR-758, Nov. 2021. |
53 | // https://arxiv.org/pdf/2111.12852.pdf. |
54 | |
55 | namespace LIBC_NAMESPACE_DECL { |
56 | |
57 | LLVM_LIBC_FUNCTION(float, log2f, (float x)) { |
58 | using FPBits = typename fputil::FPBits<float>; |
59 | |
60 | FPBits xbits(x); |
61 | uint32_t x_u = xbits.uintval(); |
62 | |
63 | // Hard to round value(s). |
64 | using fputil::round_result_slightly_up; |
65 | |
66 | int m = -FPBits::EXP_BIAS; |
67 | |
68 | // log2(1.0f) = 0.0f. |
69 | if (LIBC_UNLIKELY(x_u == 0x3f80'0000U)) |
70 | return 0.0f; |
71 | |
72 | // Exceptional inputs. |
73 | if (LIBC_UNLIKELY(x_u < FPBits::min_normal().uintval() || |
74 | x_u > FPBits::max_normal().uintval())) { |
75 | if (x == 0.0f) { |
76 | fputil::set_errno_if_required(ERANGE); |
77 | fputil::raise_except_if_required(FE_DIVBYZERO); |
78 | return FPBits::inf(Sign::NEG).get_val(); |
79 | } |
80 | if (xbits.is_neg() && !xbits.is_nan()) { |
81 | fputil::set_errno_if_required(EDOM); |
82 | fputil::raise_except(FE_INVALID); |
83 | return FPBits::quiet_nan().get_val(); |
84 | } |
85 | if (xbits.is_inf_or_nan()) { |
86 | return x; |
87 | } |
88 | // Normalize denormal inputs. |
89 | xbits = FPBits(xbits.get_val() * 0x1.0p23f); |
90 | m -= 23; |
91 | } |
92 | |
93 | m += xbits.get_biased_exponent(); |
94 | int index = xbits.get_mantissa() >> 16; |
95 | // Set bits to 1.m |
96 | xbits.set_biased_exponent(0x7F); |
97 | |
98 | float u = xbits.get_val(); |
99 | double v; |
100 | #ifdef LIBC_TARGET_CPU_HAS_FMA_FLOAT |
101 | v = static_cast<double>(fputil::multiply_add(u, R[index], -1.0f)); // Exact. |
102 | #else |
103 | v = fputil::multiply_add(static_cast<double>(u), RD[index], -1.0); // Exact |
104 | #endif // LIBC_TARGET_CPU_HAS_FMA_FLOAT |
105 | |
106 | double = static_cast<double>(m) + LOG2_R[index]; |
107 | |
108 | // Degree-5 polynomial approximation of log2 generated by Sollya with: |
109 | // > P = fpminimax(log2(1 + x)/x, 4, [|1, D...|], [-2^-8, 2^-7]); |
110 | constexpr double COEFFS[5] = {0x1.71547652b8133p0, -0x1.71547652d1e33p-1, |
111 | 0x1.ec70a098473dep-2, -0x1.7154c5ccdf121p-2, |
112 | 0x1.2514fd90a130ap-2}; |
113 | |
114 | double vsq = v * v; // Exact |
115 | double c0 = fputil::multiply_add(v, COEFFS[0], extra_factor); |
116 | double c1 = fputil::multiply_add(v, COEFFS[2], COEFFS[1]); |
117 | double c2 = fputil::multiply_add(v, COEFFS[4], COEFFS[3]); |
118 | |
119 | double r = fputil::polyeval(vsq, c0, c1, c2); |
120 | |
121 | return static_cast<float>(r); |
122 | } |
123 | |
124 | } // namespace LIBC_NAMESPACE_DECL |
125 | |