//===----------------------------------------------------------------------===// // // 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 // SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. // //===----------------------------------------------------------------------===// // #include #include #include #include #include "comparison.h" #include "test_macros.h" TEST_DIAG_SUPPRESS_MSVC(4244) // conversion from 'double' to 'float', possible loss of data TEST_DIAG_SUPPRESS_MSVC(4305) // 'argument': truncation from 'T' to 'float' TEST_DIAG_SUPPRESS_MSVC(4146) // unary minus operator applied to unsigned type, result still unsigned template __host__ __device__ void test_cosh(T val) { using ret = cuda::std::conditional_t, double, T>; static_assert(cuda::std::is_same_v, ""); // 0 is returned unmodified assert(eq(cuda::std::cosh(val), T(1.0))); assert(eq(cuda::std::cosh(-val), T(1.0))); if constexpr (!cuda::std::is_integral_v) { assert(cuda::std::isinf(cuda::std::cosh(cuda::std::numeric_limits::infinity()))); assert(cuda::std::isinf(cuda::std::cosh(-cuda::std::numeric_limits::infinity()))); assert(cuda::std::isnan(cuda::std::cosh(-cuda::std::numeric_limits::signaling_NaN()))); assert(cuda::std::isnan(cuda::std::cosh(-cuda::std::numeric_limits::quiet_NaN()))); const T expected = T(1.543080634815243712409937870688736); assert(is_about(cuda::std::cosh(T(1.0)), expected)); assert(is_about(cuda::std::cosh(T(-1.0)), expected)); } if constexpr (cuda::std::is_same_v) { assert(cuda::std::isinf(cuda::std::coshf(cuda::std::numeric_limits::infinity()))); assert(cuda::std::isinf(cuda::std::coshf(-cuda::std::numeric_limits::infinity()))); assert(cuda::std::isnan(cuda::std::coshf(-cuda::std::numeric_limits::signaling_NaN()))); assert(cuda::std::isnan(cuda::std::coshf(-cuda::std::numeric_limits::quiet_NaN()))); const T expected = T(1.543080634815243712409937870688736); assert(is_about(cuda::std::coshf(T(1.0)), expected)); assert(is_about(cuda::std::coshf(T(-1.0)), expected)); } #if _CCCL_HAS_LONG_DOUBLE() else if constexpr (cuda::std::is_same_v) { assert(cuda::std::isinf(cuda::std::coshl(cuda::std::numeric_limits::infinity()))); assert(cuda::std::isinf(cuda::std::coshl(-cuda::std::numeric_limits::infinity()))); assert(cuda::std::isnan(cuda::std::coshl(-cuda::std::numeric_limits::signaling_NaN()))); assert(cuda::std::isnan(cuda::std::coshl(-cuda::std::numeric_limits::quiet_NaN()))); const T expected = T(1.543080634815243712409937870688736); assert(is_about(cuda::std::coshl(T(1.0)), expected)); assert(is_about(cuda::std::coshl(T(-1.0)), expected)); } #endif // _CCCL_HAS_LONG_DOUBLE() } template __host__ __device__ void test_sinh(T val) { using ret = cuda::std::conditional_t, double, T>; static_assert(cuda::std::is_same_v, ""); // 0 is returned unmodified assert(eq(cuda::std::sinh(val), val)); assert(eq(cuda::std::sinh(-val), -val)); if constexpr (!cuda::std::is_integral_v) { assert(eq(cuda::std::sinh(cuda::std::numeric_limits::infinity()), cuda::std::numeric_limits::infinity())); assert(eq(cuda::std::sinh(-cuda::std::numeric_limits::infinity()), -cuda::std::numeric_limits::infinity())); assert(cuda::std::isnan(cuda::std::sinh(-cuda::std::numeric_limits::signaling_NaN()))); assert(cuda::std::isnan(cuda::std::sinh(-cuda::std::numeric_limits::quiet_NaN()))); const T expected = T(1.175201193643801378385660427738912); assert(is_about(cuda::std::sinh(T(1.0)), expected)); assert(is_about(cuda::std::sinh(T(-1.0)), -expected)); } if constexpr (cuda::std::is_same_v) { assert(eq(cuda::std::sinhf(cuda::std::numeric_limits::infinity()), cuda::std::numeric_limits::infinity())); assert(eq(cuda::std::sinhf(-cuda::std::numeric_limits::infinity()), -cuda::std::numeric_limits::infinity())); assert(cuda::std::isnan(cuda::std::sinhf(-cuda::std::numeric_limits::signaling_NaN()))); assert(cuda::std::isnan(cuda::std::sinhf(-cuda::std::numeric_limits::quiet_NaN()))); const T expected = T(1.175201193643801378385660427738912); assert(is_about(cuda::std::sinhf(T(1.0)), expected)); assert(is_about(cuda::std::sinhf(T(-1.0)), -expected)); } #if _CCCL_HAS_LONG_DOUBLE() else if constexpr (cuda::std::is_same_v) { assert(eq(cuda::std::sinhl(cuda::std::numeric_limits::infinity()), cuda::std::numeric_limits::infinity())); assert(eq(cuda::std::sinhl(-cuda::std::numeric_limits::infinity()), -cuda::std::numeric_limits::infinity())); assert(cuda::std::isnan(cuda::std::sinhl(-cuda::std::numeric_limits::signaling_NaN()))); assert(cuda::std::isnan(cuda::std::sinhl(-cuda::std::numeric_limits::quiet_NaN()))); const T expected = T(1.175201193643801378385660427738912); assert(is_about(cuda::std::sinhl(T(1.0)), expected)); assert(is_about(cuda::std::sinhl(T(-1.0)), -expected)); } #endif // _CCCL_HAS_LONG_DOUBLE() } template __host__ __device__ void test_tanh(T val) { using ret = cuda::std::conditional_t, double, T>; static_assert(cuda::std::is_same_v, ""); // 0 is returned unmodified assert(eq(cuda::std::tanh(val), val)); assert(eq(cuda::std::tanh(-val), -val)); if constexpr (!cuda::std::is_integral_v) { assert(eq(cuda::std::tanh(cuda::std::numeric_limits::infinity()), T(1.0))); assert(eq(cuda::std::tanh(-cuda::std::numeric_limits::infinity()), T(-1.0))); assert(cuda::std::isnan(cuda::std::tanh(-cuda::std::numeric_limits::signaling_NaN()))); assert(cuda::std::isnan(cuda::std::tanh(-cuda::std::numeric_limits::quiet_NaN()))); // We have precision issues with tanh because ... its tanh if constexpr (cuda::std::is_same_v) { const T expected = T(0.7615941559557648510292438004398718); assert(is_about(cuda::std::tanh(T(1.0)), expected)); assert(is_about(cuda::std::tanh(T(-1.0)), -expected)); } else { const T expected = T(0.76159417629241943359375); assert(is_about(cuda::std::tanh(T(1.0)), expected)); assert(is_about(cuda::std::tanh(T(-1.0)), -expected)); } } if constexpr (cuda::std::is_same_v) { assert(eq(cuda::std::tanhf(cuda::std::numeric_limits::infinity()), T(1.0))); assert(eq(cuda::std::tanhf(-cuda::std::numeric_limits::infinity()), T(-1.0))); assert(cuda::std::isnan(cuda::std::tanhf(-cuda::std::numeric_limits::signaling_NaN()))); assert(cuda::std::isnan(cuda::std::tanhf(-cuda::std::numeric_limits::quiet_NaN()))); const T expected = T(0.76159417629241943359375); assert(is_about(cuda::std::tanhf(T(1.0)), expected)); assert(is_about(cuda::std::tanhf(T(-1.0)), -expected)); } #if _CCCL_HAS_LONG_DOUBLE() else if constexpr (cuda::std::is_same_v) { assert(eq(cuda::std::tanhl(cuda::std::numeric_limits::infinity()), T(1.0))); assert(eq(cuda::std::tanhl(-cuda::std::numeric_limits::infinity()), T(-1.0))); assert(cuda::std::isnan(cuda::std::tanhl(-cuda::std::numeric_limits::signaling_NaN()))); assert(cuda::std::isnan(cuda::std::tanhl(-cuda::std::numeric_limits::quiet_NaN()))); const T expected = T(0.7615941559557648510292438004398718); assert(is_about(cuda::std::tanhl(T(1.0)), expected)); assert(is_about(cuda::std::tanhl(T(-1.0)), expected)); } #endif // _CCCL_HAS_LONG_DOUBLE() } template __host__ __device__ void test(const T val) { test_cosh(val); test_sinh(val); test_tanh(val); } __host__ __device__ void test(const float val) { test(val); test(val); #if _CCCL_HAS_LONG_DOUBLE() test(); #endif // _CCCL_HAS_LONG_DOUBLE() #if _LIBCUDACXX_HAS_NVFP16() test<__half>(val); #endif // _LIBCUDACXX_HAS_NVFP16() #if _LIBCUDACXX_HAS_NVBF16() test<__nv_bfloat16>(val); #endif // _LIBCUDACXX_HAS_NVBF16() test(static_cast(val)); test(static_cast(val)); test(static_cast(val)); test(static_cast(val)); test(static_cast(val)); test(static_cast(val)); test(static_cast(val)); } __global__ void test_global_kernel(float* val) { test(*val); } int main(int, char**) { volatile float val = 0.0f; test(val); return 0; }