[libc-commits] [libc] [libc][math][c23] Add f16divf C23 math function (PR #96131)
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Thu Jun 20 08:59:16 PDT 2024
================
@@ -0,0 +1,180 @@
+//===-- Division of IEEE 754 floating-point numbers -------------*- 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_FPUTIL_GENERIC_DIV_H
+#define LLVM_LIBC_SRC___SUPPORT_FPUTIL_GENERIC_DIV_H
+
+#include "hdr/fenv_macros.h"
+#include "src/__support/CPP/bit.h"
+#include "src/__support/CPP/type_traits.h"
+#include "src/__support/FPUtil/FEnvImpl.h"
+#include "src/__support/FPUtil/FPBits.h"
+#include "src/__support/FPUtil/dyadic_float.h"
+#include "src/__support/FPUtil/rounding_mode.h"
+
+namespace LIBC_NAMESPACE::fputil::generic {
+
+template <typename OutType, typename InType>
+cpp::enable_if_t<cpp::is_floating_point_v<OutType> &&
+ cpp::is_floating_point_v<InType> &&
+ sizeof(OutType) <= sizeof(InType),
+ OutType>
+div(InType x, InType y) {
+ using OutFPBits = FPBits<OutType>;
+ using OutStorageType = typename OutFPBits::StorageType;
+ using InFPBits = FPBits<InType>;
+ using InStorageType = typename InFPBits::StorageType;
+ using DyadicFloat =
+ DyadicFloat<cpp::bit_ceil(static_cast<size_t>(InFPBits::FRACTION_LEN))>;
+ using DyadicMantissaType = typename DyadicFloat::MantissaType;
+
+ // +1 for the implicit bit.
+ constexpr int DYADIC_EXTRA_MANTISSA_LEN =
+ DyadicMantissaType::BITS - (InFPBits::FRACTION_LEN + 1);
+ // +1 for the extra fractional bit in q.
+ constexpr int Q_EXTRA_FRACTION_LEN =
+ InFPBits::FRACTION_LEN + 1 - OutFPBits::FRACTION_LEN;
+
+ InFPBits x_bits(x);
+ InFPBits y_bits(y);
+
+ if (x_bits.is_nan() || y_bits.is_nan()) {
+ if (x_bits.is_signaling_nan() || y_bits.is_signaling_nan())
----------------
overmighty wrote:
I pushed the change to `if (LIBC_UNLIKELY(...))`. It is indeed faster:
```
Performance tests with inputs in denormal range:
-- My function --
Total time : 590356165 ns
Average runtime : 29.5178 ns/op
Ops per second : 33877887 op/s
-- Other function --
Total time : 612659035 ns
Average runtime : 30.6329 ns/op
Ops per second : 32644617 op/s
-- Average runtime ratio --
Mine / Other's : 0.963597
Performance tests with inputs in normal range:
-- My function --
Total time : 145477558 ns
Average runtime : 7.27387 ns/op
Ops per second : 137478386 op/s
-- Other function --
Total time : 172587200 ns
Average runtime : 8.62935 ns/op
Ops per second : 115883564 op/s
-- Average runtime ratio --
Mine / Other's : 0.842922
Performance tests with inputs in normal range with exponents close to each other:
-- My function --
Total time : 522964890 ns
Average runtime : 26.1482 ns/op
Ops per second : 38243523 op/s
-- Other function --
Total time : 550152260 ns
Average runtime : 27.5076 ns/op
Ops per second : 36353608 op/s
-- Average runtime ratio --
Mine / Other's : 0.950582
```
https://github.com/llvm/llvm-project/pull/96131
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