Leandro Lacerda eed5f06ae8
[Offload][Conformance] Add randomized tests for single-precision bivariate math functions (#154663)
This patch adds a new set of randomized conformance tests for
single-precision bivariate math functions.

The functions included in this set were selected based on the following
criteria:
- An implementation exists in `libc/src/math/generic` (i.e., it is not
just a wrapper around a compiler built-in).
- The corresponding LLVM CPU libm implementation is correctly rounded.
- The function is listed in Table 65 of the OpenCL C Specification
v3.0.19.
2025-08-21 11:27:25 -05:00

216 lines
7.0 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
//
//===----------------------------------------------------------------------===//
///
/// \file
/// This file contains the implementation of the device kernels that wrap the
/// math functions from the llvm-libm provider.
///
//===----------------------------------------------------------------------===//
#include "Conformance/device_code/DeviceAPIs.hpp"
#include "Conformance/device_code/KernelRunner.hpp"
#include <gpuintrin.h>
#include <math.h>
#include <stddef.h>
using namespace kernels;
//===----------------------------------------------------------------------===//
// Helpers
//===----------------------------------------------------------------------===//
static inline float powfRoundedExponent(float Base, float Exponent) {
return powf(Base, roundf(Exponent));
}
static inline float sincosfSin(float X) {
float SinX, CosX;
sincosf(X, &SinX, &CosX);
return SinX;
}
static inline float sincosfCos(float X) {
float SinX, CosX;
sincosf(X, &SinX, &CosX);
return CosX;
}
//===----------------------------------------------------------------------===//
// Kernels
//===----------------------------------------------------------------------===//
extern "C" {
__gpu_kernel void acosfKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<acosf>(NumElements, Out, X);
}
__gpu_kernel void acoshfKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<acoshf>(NumElements, Out, X);
}
__gpu_kernel void asinfKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<asinf>(NumElements, Out, X);
}
__gpu_kernel void asinhfKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<asinhf>(NumElements, Out, X);
}
__gpu_kernel void atanfKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<atanf>(NumElements, Out, X);
}
__gpu_kernel void atan2fKernel(const float *X, const float *Y, float *Out,
size_t NumElements) noexcept {
runKernelBody<atan2f>(NumElements, Out, X, Y);
}
__gpu_kernel void atanhfKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<atanhf>(NumElements, Out, X);
}
__gpu_kernel void cbrtfKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<cbrtf>(NumElements, Out, X);
}
__gpu_kernel void cosfKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<cosf>(NumElements, Out, X);
}
__gpu_kernel void coshfKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<coshf>(NumElements, Out, X);
}
__gpu_kernel void cospifKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<cospif>(NumElements, Out, X);
}
__gpu_kernel void erffKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<erff>(NumElements, Out, X);
}
__gpu_kernel void expfKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<expf>(NumElements, Out, X);
}
__gpu_kernel void exp10fKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<exp10f>(NumElements, Out, X);
}
__gpu_kernel void exp2fKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<exp2f>(NumElements, Out, X);
}
__gpu_kernel void expm1fKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<expm1f>(NumElements, Out, X);
}
__gpu_kernel void hypotfKernel(const float *X, float *Y, float *Out,
size_t NumElements) noexcept {
runKernelBody<hypotf>(NumElements, Out, X, Y);
}
__gpu_kernel void hypotf16Kernel(const float16 *X, float16 *Y, float16 *Out,
size_t NumElements) noexcept {
runKernelBody<hypotf16>(NumElements, Out, X, Y);
}
__gpu_kernel void logKernel(const double *X, double *Out,
size_t NumElements) noexcept {
runKernelBody<log>(NumElements, Out, X);
}
__gpu_kernel void logfKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<logf>(NumElements, Out, X);
}
__gpu_kernel void log10fKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<log10f>(NumElements, Out, X);
}
__gpu_kernel void log1pfKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<log1pf>(NumElements, Out, X);
}
__gpu_kernel void log2fKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<log2f>(NumElements, Out, X);
}
__gpu_kernel void powfKernel(const float *X, float *Y, float *Out,
size_t NumElements) noexcept {
runKernelBody<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 sinfKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<sinf>(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<sinhf>(NumElements, Out, X);
}
__gpu_kernel void sinpifKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<sinpif>(NumElements, Out, X);
}
__gpu_kernel void tanfKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<tanf>(NumElements, Out, X);
}
__gpu_kernel void tanhfKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<tanhf>(NumElements, Out, X);
}
__gpu_kernel void tanpifKernel(const float *X, float *Out,
size_t NumElements) noexcept {
runKernelBody<tanpif>(NumElements, Out, X);
}
} // extern "C"