blob: d80660b2e3c74385bed777712974ffb7e2f9af74 [file]
//===----------------------------------------------------------------------===//
//
// 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
//
//===----------------------------------------------------------------------===//
///
/// \file
/// This file contains the implementation of the device kernels that wrap the
/// math functions from the cuda-math provider.
///
//===----------------------------------------------------------------------===//
#ifdef CUDA_MATH_FOUND
#include "Conformance/device_code/DeviceAPIs.hpp"
#include "Conformance/device_code/KernelRunner.hpp"
#include <gpuintrin.h>
#include <stddef.h>
using namespace kernels;
//===----------------------------------------------------------------------===//
// Helpers
//===----------------------------------------------------------------------===//
static inline float powfRoundedExponent(float Base, float Exponent) {
return __nv_powf(Base, __nv_roundf(Exponent));
}
static inline double sincosSin(double X) {
double SinX, CosX;
__nv_sincos(X, &SinX, &CosX);
return SinX;
}
static inline double sincosCos(double X) {
double SinX, CosX;
__nv_sincos(X, &SinX, &CosX);
return CosX;
}
static inline float sincosfSin(float X) {
float SinX, CosX;
__nv_sincosf(X, &SinX, &CosX);
return SinX;
}
static inline float sincosfCos(float X) {
float SinX, CosX;
__nv_sincosf(X, &SinX, &CosX);
return CosX;
}
//===----------------------------------------------------------------------===//
// Kernels
//===----------------------------------------------------------------------===//
extern "C" {
__gpu_kernel void acosKernel(const double *X, double *Out,
size_t NumElements) noexcept {
runKernelBody<__nv_acos>(NumElements, Out, X);
}
__gpu_kernel void acosfKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<__nv_acosf>(NumElements, Out, X);
}
__gpu_kernel void acoshfKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<__nv_acoshf>(NumElements, Out, X);
}
__gpu_kernel void asinKernel(const double *X, double *Out,
size_t NumElements) noexcept {
runKernelBody<__nv_asin>(NumElements, Out, X);
}
__gpu_kernel void asinfKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<__nv_asinf>(NumElements, Out, X);
}
__gpu_kernel void asinhfKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<__nv_asinhf>(NumElements, Out, X);
}
__gpu_kernel void atanfKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<__nv_atanf>(NumElements, Out, X);
}
__gpu_kernel void atan2fKernel(const float *X, const float *Y, float *Out,
size_t NumElements) noexcept {
runKernelBody<__nv_atan2f>(NumElements, Out, X, Y);
}
__gpu_kernel void atanhfKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<__nv_atanhf>(NumElements, Out, X);
}
__gpu_kernel void cbrtKernel(const double *X, double *Out,
size_t NumElements) noexcept {
runKernelBody<__nv_cbrt>(NumElements, Out, X);
}
__gpu_kernel void cbrtfKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<__nv_cbrtf>(NumElements, Out, X);
}
__gpu_kernel void cosKernel(const double *X, double *Out,
size_t NumElements) noexcept {
runKernelBody<__nv_cos>(NumElements, Out, X);
}
__gpu_kernel void cosfKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<__nv_cosf>(NumElements, Out, X);
}
__gpu_kernel void coshfKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<__nv_coshf>(NumElements, Out, X);
}
__gpu_kernel void cospifKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<__nv_cospif>(NumElements, Out, X);
}
__gpu_kernel void erffKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<__nv_erff>(NumElements, Out, X);
}
__gpu_kernel void expKernel(const double *X, double *Out,
size_t NumElements) noexcept {
runKernelBody<__nv_exp>(NumElements, Out, X);
}
__gpu_kernel void expfKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<__nv_expf>(NumElements, Out, X);
}
__gpu_kernel void exp10Kernel(const double *X, double *Out,
size_t NumElements) noexcept {
runKernelBody<__nv_exp10>(NumElements, Out, X);
}
__gpu_kernel void exp10fKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<__nv_exp10f>(NumElements, Out, X);
}
__gpu_kernel void exp2Kernel(const double *X, double *Out,
size_t NumElements) noexcept {
runKernelBody<__nv_exp2>(NumElements, Out, X);
}
__gpu_kernel void exp2fKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<__nv_exp2f>(NumElements, Out, X);
}
__gpu_kernel void expm1Kernel(const double *X, double *Out,
size_t NumElements) noexcept {
runKernelBody<__nv_expm1>(NumElements, Out, X);
}
__gpu_kernel void expm1fKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<__nv_expm1f>(NumElements, Out, X);
}
__gpu_kernel void hypotKernel(const double *X, const double *Y, double *Out,
size_t NumElements) noexcept {
runKernelBody<__nv_hypot>(NumElements, Out, X, Y);
}
__gpu_kernel void hypotfKernel(const float *X, const float *Y, float *Out,
size_t NumElements) noexcept {
runKernelBody<__nv_hypotf>(NumElements, Out, X, Y);
}
__gpu_kernel void logKernel(const double *X, double *Out,
size_t NumElements) noexcept {
runKernelBody<__nv_log>(NumElements, Out, X);
}
__gpu_kernel void logfKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<__nv_logf>(NumElements, Out, X);
}
__gpu_kernel void log10Kernel(const double *X, double *Out,
size_t NumElements) noexcept {
runKernelBody<__nv_log10>(NumElements, Out, X);
}
__gpu_kernel void log10fKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<__nv_log10f>(NumElements, Out, X);
}
__gpu_kernel void log1pKernel(const double *X, double *Out,
size_t NumElements) noexcept {
runKernelBody<__nv_log1p>(NumElements, Out, X);
}
__gpu_kernel void log1pfKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<__nv_log1pf>(NumElements, Out, X);
}
__gpu_kernel void log2Kernel(const double *X, double *Out,
size_t NumElements) noexcept {
runKernelBody<__nv_log2>(NumElements, Out, X);
}
__gpu_kernel void log2fKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<__nv_log2f>(NumElements, Out, X);
}
__gpu_kernel void powfKernel(const float *X, float *Y, float *Out,
size_t NumElements) noexcept {
runKernelBody<__nv_powf>(NumElements, Out, X, Y);
}
__gpu_kernel void powfRoundedExponentKernel(const float *X, float *Y,
float *Out,
size_t NumElements) noexcept {
runKernelBody<powfRoundedExponent>(NumElements, Out, X, Y);
}
__gpu_kernel void sinKernel(const double *X, double *Out,
size_t NumElements) noexcept {
runKernelBody<__nv_sin>(NumElements, Out, X);
}
__gpu_kernel void sinfKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<__nv_sinf>(NumElements, Out, X);
}
__gpu_kernel void sincosSinKernel(const double *X, double *Out,
size_t NumElements) noexcept {
runKernelBody<sincosSin>(NumElements, Out, X);
}
__gpu_kernel void sincosCosKernel(const double *X, double *Out,
size_t NumElements) noexcept {
runKernelBody<sincosCos>(NumElements, Out, X);
}
__gpu_kernel void sincosfSinKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<sincosfSin>(NumElements, Out, X);
}
__gpu_kernel void sincosfCosKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<sincosfCos>(NumElements, Out, X);
}
__gpu_kernel void sinhfKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<__nv_sinhf>(NumElements, Out, X);
}
__gpu_kernel void sinpifKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<__nv_sinpif>(NumElements, Out, X);
}
__gpu_kernel void tanKernel(const double *X, double *Out,
size_t NumElements) noexcept {
runKernelBody<__nv_tan>(NumElements, Out, X);
}
__gpu_kernel void tanfKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<__nv_tanf>(NumElements, Out, X);
}
__gpu_kernel void tanhfKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<__nv_tanhf>(NumElements, Out, X);
}
} // extern "C"
#endif // CUDA_MATH_FOUND