
This PR introduces the initial version of a C++ framework for the conformance testing of GPU math library functions, building upon the skeleton provided in #146391. The main goal of this framework is to systematically measure the accuracy of math functions in the GPU libc, verifying correctness or at least conformance to standards like OpenCL via exhaustive or random accuracy tests.
148 lines
4.9 KiB
C++
148 lines
4.9 KiB
C++
//===----------------------------------------------------------------------===//
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//
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// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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//
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//===----------------------------------------------------------------------===//
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///
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/// \file
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/// This file contains the definition of numeric utilities, including functions
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/// to compute ULP distance and traits for floating-point types.
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///
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//===----------------------------------------------------------------------===//
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#ifndef MATHTEST_NUMERICS_HPP
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#define MATHTEST_NUMERICS_HPP
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#include "mathtest/Support.hpp"
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#include "mathtest/TypeExtras.hpp"
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// These headers are in the shared LLVM-libc header library
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#include "shared/fp_bits.h"
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#include "shared/sign.h"
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#include <climits>
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#include <cstdint>
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#include <limits>
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#include <math.h>
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#include <type_traits>
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namespace mathtest {
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template <typename FloatType>
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using FPBits = LIBC_NAMESPACE::shared::FPBits<FloatType>;
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using Sign = LIBC_NAMESPACE::shared::Sign;
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//===----------------------------------------------------------------------===//
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// Type Traits
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//===----------------------------------------------------------------------===//
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template <typename T> struct IsFloatingPoint : std::is_floating_point<T> {};
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template <> struct IsFloatingPoint<float16> : std::true_type {};
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template <typename T>
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inline constexpr bool IsFloatingPoint_v // NOLINT(readability-identifier-naming)
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= IsFloatingPoint<T>::value;
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template <typename T> struct StorageTypeOf {
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private:
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static constexpr auto getStorageType() noexcept {
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if constexpr (IsFloatingPoint_v<T>)
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return TypeIdentityOf<typename FPBits<T>::StorageType>{};
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else if constexpr (std::is_unsigned_v<T>)
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return TypeIdentityOf<T>{};
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else if constexpr (std::is_signed_v<T>)
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return TypeIdentityOf<std::make_unsigned_t<T>>{};
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else
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static_assert(!std::is_same_v<T, T>, "Unsupported type");
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}
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public:
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using type = typename decltype(getStorageType())::type;
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};
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template <typename T> using StorageTypeOf_t = typename StorageTypeOf<T>::type;
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//===----------------------------------------------------------------------===//
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// Numeric Functions
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//===----------------------------------------------------------------------===//
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template <typename T> [[nodiscard]] constexpr T getMinOrNegInf() noexcept {
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if constexpr (IsFloatingPoint_v<T>) {
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// All currently supported floating-point types have infinity
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return FPBits<T>::inf(Sign::NEG).get_val();
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} else {
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static_assert(std::is_integral_v<T>,
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"Type T must be an integral or floating-point type");
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return std::numeric_limits<T>::lowest();
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}
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}
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template <typename T> [[nodiscard]] constexpr T getMaxOrInf() noexcept {
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if constexpr (IsFloatingPoint_v<T>) {
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// All currently supported floating-point types have infinity
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return FPBits<T>::inf(Sign::POS).get_val();
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} else {
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static_assert(std::is_integral_v<T>,
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"Type T must be an integral or floating-point type");
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return std::numeric_limits<T>::max();
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}
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}
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template <typename FloatType>
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[[nodiscard]] uint64_t computeUlpDistance(FloatType X, FloatType Y) noexcept {
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static_assert(IsFloatingPoint_v<FloatType>,
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"FloatType must be a floating-point type");
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using FPBits = FPBits<FloatType>;
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using StorageType = typename FPBits::StorageType;
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const FPBits XBits(X);
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const FPBits YBits(Y);
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if (X == Y) {
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if (XBits.sign() != YBits.sign()) [[unlikely]] {
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// When X == Y, different sign bits imply that X and Y are +0.0 and -0.0
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// (in any order). Since we want to treat them as unequal in the context
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// of accuracy testing of mathematical functions, we return the smallest
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// non-zero value.
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return 1;
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}
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return 0;
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}
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const bool XIsNaN = XBits.is_nan();
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const bool YIsNaN = YBits.is_nan();
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if (XIsNaN && YIsNaN)
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return 0;
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if (XIsNaN || YIsNaN)
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return std::numeric_limits<uint64_t>::max();
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constexpr StorageType SignMask = FPBits::SIGN_MASK;
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// Linearise FloatType values into an ordered unsigned space. Let a and b
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// be bits(x), bits(y), respectively, where x and y are FloatType values.
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// * The mapping is monotonic: x >= y if, and only if, map(a) >= map(b).
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// * The difference |map(a) − map(b)| equals the number of std::nextafter
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// steps between a and b within the same type.
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auto MapToOrderedUnsigned = [](FPBits Bits) {
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const StorageType Unsigned = Bits.uintval();
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return (Unsigned & SignMask) ? SignMask - (Unsigned - SignMask)
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: SignMask + Unsigned;
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};
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const StorageType MappedX = MapToOrderedUnsigned(XBits);
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const StorageType MappedY = MapToOrderedUnsigned(YBits);
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return static_cast<uint64_t>(MappedX > MappedY ? MappedX - MappedY
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: MappedY - MappedX);
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}
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} // namespace mathtest
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#endif // MATHTEST_NUMERICS_HPP
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