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Flatten subprojects into a single base monorepo
2026-09-02 16:34:47 -07:00

92 lines
3.4 KiB
C++

//===----------------------------------------------------------------------===//
//
// Part of libcu++, the C++ Standard Library for your entire system,
// 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
// SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES.
//
//===----------------------------------------------------------------------===//
// clang-format off
#include <disable_nvfp_conversions_and_operators.h>
// clang-format on
#include <cuda/std/__floating_point/fp.h>
#include <cuda/std/cassert>
#include <cuda/std/cstring>
#include "test_macros.h"
template <class T>
__host__ __device__ constexpr void test_fp_format(cuda::std::__fp_format expected)
{
assert(cuda::std::__fp_format_of_v<T> == expected);
}
__host__ __device__ constexpr bool test()
{
test_fp_format<float>(cuda::std::__fp_format::__binary32);
test_fp_format<double>(cuda::std::__fp_format::__binary64);
#if _CCCL_HAS_LONG_DOUBLE()
if (cuda::std::numeric_limits<long double>::min_exponent == cuda::std::numeric_limits<double>::min_exponent
&& cuda::std::numeric_limits<long double>::max_exponent == cuda::std::numeric_limits<double>::max_exponent
&& cuda::std::numeric_limits<long double>::digits == cuda::std::numeric_limits<double>::digits)
{
test_fp_format<long double>(cuda::std::__fp_format::__binary64);
}
else if (cuda::std::numeric_limits<long double>::min_exponent == -16381
&& cuda::std::numeric_limits<long double>::max_exponent == 16384
&& cuda::std::numeric_limits<long double>::digits == 64 && sizeof(long double) == 16)
{
test_fp_format<long double>(cuda::std::__fp_format::__fp80_x86);
}
else if (cuda::std::numeric_limits<long double>::min_exponent == -16381
&& cuda::std::numeric_limits<long double>::max_exponent == 16384
&& cuda::std::numeric_limits<long double>::digits == 113)
{
test_fp_format<long double>(cuda::std::__fp_format::__binary128);
}
else
{
test_fp_format<long double>(cuda::std::__fp_format::__invalid);
}
#endif // _CCCL_HAS_LONG_DOUBLE()
#if _CCCL_HAS_NVFP16()
test_fp_format<__half>(cuda::std::__fp_format::__binary16);
#endif // _CCCL_HAS_NVFP16()
#if _CCCL_HAS_NVBF16()
test_fp_format<__nv_bfloat16>(cuda::std::__fp_format::__bfloat16);
#endif // _CCCL_HAS_NVBF16()
#if _CCCL_HAS_NVFP8_E4M3()
test_fp_format<__nv_fp8_e4m3>(cuda::std::__fp_format::__fp8_nv_e4m3);
#endif // _CCCL_HAS_NVFP8_E4M3()
#if _CCCL_HAS_NVFP8_E5M2()
test_fp_format<__nv_fp8_e5m2>(cuda::std::__fp_format::__fp8_nv_e5m2);
#endif // _CCCL_HAS_NVFP8_E5M2()
#if _CCCL_HAS_NVFP8_E8M0()
test_fp_format<__nv_fp8_e8m0>(cuda::std::__fp_format::__fp8_nv_e8m0);
#endif // _CCCL_HAS_NVFP8_E8M0()
#if _CCCL_HAS_NVFP6_E2M3()
test_fp_format<__nv_fp6_e2m3>(cuda::std::__fp_format::__fp6_nv_e2m3);
#endif // _CCCL_HAS_NVFP6_E2M3()
#if _CCCL_HAS_NVFP6_E3M2()
test_fp_format<__nv_fp6_e3m2>(cuda::std::__fp_format::__fp6_nv_e3m2);
#endif // _CCCL_HAS_NVFP6_E3M2()
#if _CCCL_HAS_NVFP4_E2M1()
test_fp_format<__nv_fp4_e2m1>(cuda::std::__fp_format::__fp4_nv_e2m1);
#endif // _CCCL_HAS_NVFP4_E2M1()
#if _CCCL_HAS_FLOAT128()
test_fp_format<__float128>(cuda::std::__fp_format::__binary128);
#endif // _CCCL_HAS_FLOAT128()
return true;
}
int main(int, char**)
{
test();
static_assert(test());
return 0;
}