Files
project_6/cccl_upstream/libcudacxx/test/support/fp_compare.h
EngineX CI 56fd68e7dd [INFRA] Import NVIDIA/CCCL upstream as optimization reference library
CCCL (CUDA C++ Core Libraries) provides:
- CUB: device/block/warp-level GPU primitives (reduce, scan, sort, topk)
- Thrust: high-level parallel algorithms (transform_reduce, sort, scan)
- libcudacxx: CUDA C++ standard library (atomics, barriers, memory)
- cudax: experimental features (memory resources, allocators)
- Tuning policies: per-SM hardware-specific algorithm parameters

Competition optimization vectors mapped to CCCL:
- Output TPS (83% weight): warp_reduce, block_reduce, device_topk
- Input TPS (14% weight): device_scan, block_load, prefetch
- Cache TPS (3% weight): prefix caching strategy patterns
- Memory (0.9 util): pooled/cached/buddy allocators

Source: https://github.com/NVIDIA/cccl (shallow clone, HEAD only)
License: Apache-2.0
2026-07-30 09:35:51 +00:00

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1.6 KiB
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 SUPPORT_FP_COMPARE_H
#define SUPPORT_FP_COMPARE_H
#include <cuda/std/algorithm> // for cuda::std::max
#include <cuda/std/cassert>
#include <cuda/std/cmath> // for cuda::std::abs
#include "test_macros.h"
// See
// https://www.boost.org/doc/libs/1_70_0/libs/test/doc/html/boost_test/testing_tools/extended_comparison/floating_point/floating_points_comparison_theory.html
template <typename T>
TEST_FUNC bool fptest_close(T val, T expected, T eps)
{
constexpr T zero = T(0);
assert(eps >= zero);
// Handle the zero cases
if (eps == zero)
{
return val == expected;
}
if (val == zero)
{
return cuda::std::abs(expected) <= eps;
}
if (expected == zero)
{
return cuda::std::abs(val) <= eps;
}
return cuda::std::abs(val - expected) < eps && cuda::std::abs(val - expected) / cuda::std::abs(val) < eps;
}
template <typename T>
TEST_FUNC bool fptest_close_pct(T val, T expected, T percent)
{
constexpr T zero = T(0);
assert(percent >= zero);
// Handle the zero cases
if (percent == zero)
{
return val == expected;
}
T eps = (percent / T(100)) * cuda::std::max(cuda::std::abs(val), cuda::std::abs(expected));
return fptest_close(val, expected, eps);
}
#endif // SUPPORT_FP_COMPARE_H