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270 lines
11 KiB
C++
270 lines
11 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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// SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES.
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//
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//===----------------------------------------------------------------------===//
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// MIT License
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//
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// Modifications Copyright (C) 2026 Advanced Micro Devices, Inc. All rights reserved.
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//
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// Permission is hereby granted, free of charge, to any person obtaining a copy
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// of this software and associated documentation files (the "Software"), to deal
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// in the Software without restriction, including without limitation the rights
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// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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// copies of the Software, and to permit persons to whom the Software is
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// furnished to do so, subject to the following conditions:
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//
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// The above copyright notice and this permission notice shall be included in all
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// copies or substantial portions of the Software.
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//
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// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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// SOFTWARE.
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// <cmath>
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#include <cuda/std/cassert>
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#include <cuda/std/cmath>
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#include <cuda/std/limits>
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#include <cuda/std/type_traits>
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#include "comparison.h"
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#include "test_macros.h"
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TEST_DIAG_SUPPRESS_MSVC(4244) // conversion from 'double' to 'float', possible loss of data
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TEST_DIAG_SUPPRESS_MSVC(4305) // 'argument': truncation from 'T' to 'float'
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TEST_DIAG_SUPPRESS_MSVC(4146) // unary minus operator applied to unsigned type, result still unsigned
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template <typename T>
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__host__ __device__ void test_lgamma(T val)
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{
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using ret = cuda::std::conditional_t<cuda::std::is_integral_v<T>, double, T>;
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static_assert(cuda::std::is_same_v<decltype(cuda::std::lgamma(T{})), ret>, "");
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// If the argument is 1, +0 is returned.
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assert(eq(cuda::std::lgamma(T(1.0)), val));
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// If the argument is 2, +0 is returned.
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assert(eq(cuda::std::lgamma(T(2.0)), val));
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// If the argument is a negative integer, +∞ is returned.
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assert(eq(cuda::std::lgamma(-2), cuda::std::numeric_limits<double>::infinity()));
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// If the argument is ±0, +∞ is returned.
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assert(eq(cuda::std::lgamma(val), cuda::std::numeric_limits<ret>::infinity()));
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if constexpr (!cuda::std::is_integral_v<T>)
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{
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// If the argument is ±0, +∞ is returned.
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assert(eq(cuda::std::lgamma(-val), cuda::std::numeric_limits<T>::infinity()));
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// If the argument is ±∞, +∞ is returned.
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assert(eq(cuda::std::lgamma(cuda::std::numeric_limits<T>::infinity()), cuda::std::numeric_limits<T>::infinity()));
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assert(eq(cuda::std::lgamma(-cuda::std::numeric_limits<T>::infinity()), cuda::std::numeric_limits<T>::infinity()));
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// If the argument is NaN, NaN is returned.
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assert(cuda::std::isnan(cuda::std::lgamma(cuda::std::numeric_limits<T>::signaling_NaN())));
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assert(cuda::std::isnan(cuda::std::lgamma(cuda::std::numeric_limits<T>::quiet_NaN())));
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assert(cuda::std::isnan(cuda::std::lgamma(-cuda::std::numeric_limits<T>::signaling_NaN())));
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assert(cuda::std::isnan(cuda::std::lgamma(-cuda::std::numeric_limits<T>::quiet_NaN())));
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// Some random value
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const T expected = T(0.5723649429247000819387380943226162);
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assert(is_about(cuda::std::lgamma(T(0.5)), expected));
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}
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if constexpr (cuda::std::is_same_v<T, float>)
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{
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// If the argument is 1, +0 is returned.
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assert(eq(cuda::std::lgammaf(T(1.0)), val));
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// If the argument is 2, +0 is returned.
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assert(eq(cuda::std::lgammaf(T(2.0)), val));
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// If the argument is ±0, +∞ is returned.
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assert(eq(cuda::std::lgammaf(val), cuda::std::numeric_limits<T>::infinity()));
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assert(eq(cuda::std::lgammaf(-val), cuda::std::numeric_limits<T>::infinity()));
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// If the argument is ±∞, +∞ is returned.
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assert(eq(cuda::std::lgammaf(cuda::std::numeric_limits<T>::infinity()), cuda::std::numeric_limits<T>::infinity()));
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assert(eq(cuda::std::lgammaf(-cuda::std::numeric_limits<T>::infinity()), cuda::std::numeric_limits<T>::infinity()));
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// If the argument is NaN, NaN is returned.
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assert(cuda::std::isnan(cuda::std::lgammaf(cuda::std::numeric_limits<T>::signaling_NaN())));
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assert(cuda::std::isnan(cuda::std::lgammaf(cuda::std::numeric_limits<T>::quiet_NaN())));
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assert(cuda::std::isnan(cuda::std::lgammaf(-cuda::std::numeric_limits<T>::signaling_NaN())));
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assert(cuda::std::isnan(cuda::std::lgammaf(-cuda::std::numeric_limits<T>::quiet_NaN())));
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// Some random value
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const T expected = T(0.5723649429247000819387380943226162);
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assert(is_about(cuda::std::lgammaf(T(0.5)), expected));
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}
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#if _CCCL_HAS_LONG_DOUBLE()
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else if constexpr (cuda::std::is_same_v<T, long double>)
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{
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// If the argument is 1, +0 is returned.
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assert(eq(cuda::std::lgammal(T(1.0)), val));
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// If the argument is 2, +0 is returned.
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assert(eq(cuda::std::lgammal(T(2.0)), val));
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// If the argument is ±0, +∞ is returned.
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assert(eq(cuda::std::lgammal(val), cuda::std::numeric_limits<T>::infinity()));
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assert(eq(cuda::std::lgammal(-val), cuda::std::numeric_limits<T>::infinity()));
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// If the argument is ±∞, +∞ is returned.
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assert(eq(cuda::std::lgammal(cuda::std::numeric_limits<T>::infinity()), cuda::std::numeric_limits<T>::infinity()));
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assert(eq(cuda::std::lgammal(-cuda::std::numeric_limits<T>::infinity()), cuda::std::numeric_limits<T>::infinity()));
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// If the argument is NaN, NaN is returned.
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assert(cuda::std::isnan(cuda::std::lgammal(cuda::std::numeric_limits<T>::signaling_NaN())));
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assert(cuda::std::isnan(cuda::std::lgammal(cuda::std::numeric_limits<T>::quiet_NaN())));
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assert(cuda::std::isnan(cuda::std::lgammal(-cuda::std::numeric_limits<T>::signaling_NaN())));
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assert(cuda::std::isnan(cuda::std::lgammal(-cuda::std::numeric_limits<T>::quiet_NaN())));
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// Some random value
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const T expected = T(0.5723649429247000819387380943226162);
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assert(is_about(cuda::std::lgammal(T(0.5)), expected));
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}
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#endif // _CCCL_HAS_LONG_DOUBLE()
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}
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template <typename T>
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__host__ __device__ void test_tgamma(T val)
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{
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using ret = cuda::std::conditional_t<cuda::std::is_integral_v<T>, double, T>;
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static_assert(cuda::std::is_same_v<decltype(cuda::std::tgamma(T{})), ret>, "");
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// If the argument is a negative integer.
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assert(cuda::std::isnan(cuda::std::tgamma(-2)));
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// Some characteristic value
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// NOTE(HIP/AMD): tgamma(2.0) returns a slightly incorrect version for ROCm versions below 7.2
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#if LIBHIPCXX_ROCM_VERSION_GE(7,2,0)
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assert(eq(cuda::std::tgamma(T(2.0)), T(1.0)));
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#endif
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// If the argument is ±0, ±∞ is returned.
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assert(eq(cuda::std::tgamma(val), cuda::std::numeric_limits<ret>::infinity()));
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if constexpr (!cuda::std::is_integral_v<T>)
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{
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// If the argument is ±0, ±∞ is returned.
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assert(eq(cuda::std::tgamma(-val), -cuda::std::numeric_limits<ret>::infinity()));
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// If the argument is -∞, NaN is returned.
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assert(cuda::std::isnan(cuda::std::tgamma(-cuda::std::numeric_limits<T>::infinity())));
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// If the argument is +∞, +∞ is returned.
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assert(eq(cuda::std::tgamma(cuda::std::numeric_limits<T>::infinity()), cuda::std::numeric_limits<T>::infinity()));
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// If the argument is NaN, NaN is returned.
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assert(cuda::std::isnan(cuda::std::tgamma(cuda::std::numeric_limits<T>::signaling_NaN())));
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assert(cuda::std::isnan(cuda::std::tgamma(-cuda::std::numeric_limits<T>::signaling_NaN())));
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assert(cuda::std::isnan(cuda::std::tgamma(cuda::std::numeric_limits<T>::quiet_NaN())));
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assert(cuda::std::isnan(cuda::std::tgamma(-cuda::std::numeric_limits<T>::quiet_NaN())));
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// Some random value
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const T expected = T(1.772453850905516103964032481599133);
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assert(is_about(cuda::std::tgamma(T(0.5)), expected));
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}
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if constexpr (cuda::std::is_same_v<T, float>)
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{
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// If the argument is ±0, ±∞ is returned.
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assert(eq(cuda::std::tgammaf(val), cuda::std::numeric_limits<T>::infinity()));
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assert(eq(cuda::std::tgammaf(-val), -cuda::std::numeric_limits<T>::infinity()));
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// If the argument is -∞, NaN is returned.
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assert(cuda::std::isnan(cuda::std::tgammaf(-cuda::std::numeric_limits<T>::infinity())));
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// If the argument is +∞, +∞ is returned.
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assert(eq(cuda::std::tgammaf(cuda::std::numeric_limits<T>::infinity()), cuda::std::numeric_limits<T>::infinity()));
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// If the argument is NaN, NaN is returned.
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assert(cuda::std::isnan(cuda::std::tgammaf(cuda::std::numeric_limits<T>::signaling_NaN())));
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assert(cuda::std::isnan(cuda::std::tgammaf(-cuda::std::numeric_limits<T>::signaling_NaN())));
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assert(cuda::std::isnan(cuda::std::tgammaf(cuda::std::numeric_limits<T>::quiet_NaN())));
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assert(cuda::std::isnan(cuda::std::tgammaf(-cuda::std::numeric_limits<T>::quiet_NaN())));
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// Some random value
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const T expected = T(1.772453850905516103964032481599133);
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assert(is_about(cuda::std::tgammaf(T(0.5)), expected));
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}
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#if _CCCL_HAS_LONG_DOUBLE()
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else if constexpr (cuda::std::is_same_v<T, long double>)
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{
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// If the argument is ±0, ±∞ is returned.
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assert(eq(cuda::std::tgammal(val), cuda::std::numeric_limits<T>::infinity()));
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assert(eq(cuda::std::tgammal(-val), -cuda::std::numeric_limits<T>::infinity()));
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// If the argument is -∞, NaN is returned.
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assert(cuda::std::isnan(cuda::std::tgammal(-cuda::std::numeric_limits<T>::infinity())));
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// If the argument is +∞, +∞ is returned.
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assert(eq(cuda::std::tgammal(cuda::std::numeric_limits<T>::infinity()), cuda::std::numeric_limits<T>::infinity()));
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// If the argument is NaN, NaN is returned.
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assert(cuda::std::isnan(cuda::std::tgammal(cuda::std::numeric_limits<T>::signaling_NaN())));
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assert(cuda::std::isnan(cuda::std::tgammal(-cuda::std::numeric_limits<T>::signaling_NaN())));
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assert(cuda::std::isnan(cuda::std::tgammal(cuda::std::numeric_limits<T>::quiet_NaN())));
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assert(cuda::std::isnan(cuda::std::tgammal(-cuda::std::numeric_limits<T>::quiet_NaN())));
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// Some random value
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const T expected = T(1.772453850905516103964032481599133);
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assert(is_about(cuda::std::tgammal(T(0.5)), expected));
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}
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#endif // _CCCL_HAS_LONG_DOUBLE()
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}
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template <typename T>
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__host__ __device__ void test(const T val)
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{
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test_lgamma<T>(val);
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test_tgamma<T>(val);
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}
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__host__ __device__ void test(const float val)
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{
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test<float>(val);
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test<double>(val);
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#if _CCCL_HAS_LONG_DOUBLE()
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test<long double>();
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#endif // _CCCL_HAS_LONG_DOUBLE()
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#if _LIBCUDACXX_HAS_NVFP16()
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test<__half>(val);
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#endif // _LIBCUDACXX_HAS_NVFP16()
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#if _LIBCUDACXX_HAS_NVBF16()
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test<__nv_bfloat16>(val);
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#endif // _LIBCUDACXX_HAS_NVBF16()
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test<unsigned short>(static_cast<unsigned short>(val));
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test<int>(static_cast<int>(val));
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test<unsigned int>(static_cast<unsigned int>(val));
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test<long>(static_cast<long>(val));
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test<unsigned long>(static_cast<unsigned long>(val));
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test<long long>(static_cast<long long>(val));
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test<unsigned long long>(static_cast<unsigned long long>(val));
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}
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__global__ void test_global_kernel(float* val)
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{
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test(*val);
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}
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int main(int, char**)
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{
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volatile float val = 0.0f;
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test(val);
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return 0;
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}
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