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This patch adds a set of exhaustive tests for half-precision math. 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 69 of the OpenCL C Specification v3.0.19. This patch also fixes the testing range of the following functions: `acos`, `acosf`, `asin`, `asinf`, and `log1p`.
396 lines
14 KiB
C++
396 lines
14 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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//
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//===----------------------------------------------------------------------===//
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///
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/// \file
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/// This file contains the implementation of the device kernels that wrap the
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/// math functions from the hip-math provider.
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///
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//===----------------------------------------------------------------------===//
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#ifdef HIP_MATH_FOUND
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#include "Conformance/device_code/DeviceAPIs.hpp"
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#include "Conformance/device_code/KernelRunner.hpp"
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#include <gpuintrin.h>
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#include <stddef.h>
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using namespace kernels;
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//===----------------------------------------------------------------------===//
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// Helpers
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//===----------------------------------------------------------------------===//
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static inline float powfRoundedExponent(float Base, float Exponent) {
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return __ocml_pow_f32(Base, __ocml_round_f32(Exponent));
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}
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static inline double sincosSin(double X) {
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double CosX;
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double SinX = __ocml_sincos_f64(X, &CosX);
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return SinX;
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}
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static inline double sincosCos(double X) {
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double CosX;
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double SinX = __ocml_sincos_f64(X, &CosX);
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return CosX;
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}
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static inline float sincosfSin(float X) {
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float CosX;
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float SinX = __ocml_sincos_f32(X, &CosX);
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return SinX;
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}
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static inline float sincosfCos(float X) {
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float CosX;
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float SinX = __ocml_sincos_f32(X, &CosX);
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return CosX;
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}
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//===----------------------------------------------------------------------===//
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// Kernels
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//===----------------------------------------------------------------------===//
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extern "C" {
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__gpu_kernel void acosKernel(const double *X, double *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_acos_f64>(NumElements, Out, X);
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}
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__gpu_kernel void acosfKernel(const float *X, float *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_acos_f32>(NumElements, Out, X);
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}
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__gpu_kernel void acosf16Kernel(const float16 *X, float16 *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_acos_f16>(NumElements, Out, X);
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}
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__gpu_kernel void acoshfKernel(const float *X, float *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_acosh_f32>(NumElements, Out, X);
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}
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__gpu_kernel void acoshf16Kernel(const float16 *X, float16 *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_acosh_f16>(NumElements, Out, X);
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}
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__gpu_kernel void asinKernel(const double *X, double *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_asin_f64>(NumElements, Out, X);
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}
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__gpu_kernel void asinfKernel(const float *X, float *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_asin_f32>(NumElements, Out, X);
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}
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__gpu_kernel void asinf16Kernel(const float16 *X, float16 *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_asin_f16>(NumElements, Out, X);
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}
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__gpu_kernel void asinhfKernel(const float *X, float *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_asinh_f32>(NumElements, Out, X);
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}
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__gpu_kernel void asinhf16Kernel(const float16 *X, float16 *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_asinh_f16>(NumElements, Out, X);
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}
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__gpu_kernel void atanfKernel(const float *X, float *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_atan_f32>(NumElements, Out, X);
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}
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__gpu_kernel void atanf16Kernel(const float16 *X, float16 *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_atan_f16>(NumElements, Out, X);
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}
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__gpu_kernel void atan2fKernel(const float *X, const float *Y, float *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_atan2_f32>(NumElements, Out, X, Y);
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}
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__gpu_kernel void atanhfKernel(const float *X, float *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_atanh_f32>(NumElements, Out, X);
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}
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__gpu_kernel void atanhf16Kernel(const float16 *X, float16 *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_atanh_f16>(NumElements, Out, X);
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}
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__gpu_kernel void cbrtKernel(const double *X, double *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_cbrt_f64>(NumElements, Out, X);
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}
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__gpu_kernel void cbrtfKernel(const float *X, float *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_cbrt_f32>(NumElements, Out, X);
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}
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__gpu_kernel void cosKernel(const double *X, double *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_cos_f64>(NumElements, Out, X);
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}
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__gpu_kernel void cosfKernel(const float *X, float *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_cos_f32>(NumElements, Out, X);
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}
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__gpu_kernel void cosf16Kernel(const float16 *X, float16 *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_cos_f16>(NumElements, Out, X);
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}
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__gpu_kernel void coshfKernel(const float *X, float *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_cosh_f32>(NumElements, Out, X);
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}
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__gpu_kernel void coshf16Kernel(const float16 *X, float16 *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_cosh_f16>(NumElements, Out, X);
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}
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__gpu_kernel void cospifKernel(const float *X, float *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_cospi_f32>(NumElements, Out, X);
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}
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__gpu_kernel void erffKernel(const float *X, float *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_erf_f32>(NumElements, Out, X);
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}
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__gpu_kernel void expKernel(const double *X, double *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_exp_f64>(NumElements, Out, X);
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}
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__gpu_kernel void expfKernel(const float *X, float *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_exp_f32>(NumElements, Out, X);
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}
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__gpu_kernel void expf16Kernel(const float16 *X, float16 *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_exp_f16>(NumElements, Out, X);
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}
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__gpu_kernel void exp10Kernel(const double *X, double *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_exp10_f64>(NumElements, Out, X);
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}
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__gpu_kernel void exp10fKernel(const float *X, float *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_exp10_f32>(NumElements, Out, X);
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}
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__gpu_kernel void exp10f16Kernel(const float16 *X, float16 *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_exp10_f16>(NumElements, Out, X);
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}
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__gpu_kernel void exp2Kernel(const double *X, double *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_exp2_f64>(NumElements, Out, X);
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}
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__gpu_kernel void exp2fKernel(const float *X, float *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_exp2_f32>(NumElements, Out, X);
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}
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__gpu_kernel void exp2f16Kernel(const float16 *X, float16 *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_exp2_f16>(NumElements, Out, X);
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}
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__gpu_kernel void expm1Kernel(const double *X, double *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_expm1_f64>(NumElements, Out, X);
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}
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__gpu_kernel void expm1fKernel(const float *X, float *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_expm1_f32>(NumElements, Out, X);
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}
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__gpu_kernel void expm1f16Kernel(const float16 *X, float16 *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_expm1_f16>(NumElements, Out, X);
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}
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__gpu_kernel void hypotKernel(const double *X, const double *Y, double *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_hypot_f64>(NumElements, Out, X, Y);
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}
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__gpu_kernel void hypotfKernel(const float *X, const float *Y, float *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_hypot_f32>(NumElements, Out, X, Y);
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}
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__gpu_kernel void logKernel(const double *X, double *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_log_f64>(NumElements, Out, X);
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}
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__gpu_kernel void logfKernel(const float *X, float *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_log_f32>(NumElements, Out, X);
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}
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__gpu_kernel void logf16Kernel(const float16 *X, float16 *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_log_f16>(NumElements, Out, X);
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}
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__gpu_kernel void log10Kernel(const double *X, double *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_log10_f64>(NumElements, Out, X);
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}
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__gpu_kernel void log10fKernel(const float *X, float *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_log10_f32>(NumElements, Out, X);
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}
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__gpu_kernel void log10f16Kernel(const float16 *X, float16 *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_log10_f16>(NumElements, Out, X);
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}
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__gpu_kernel void log1pKernel(const double *X, double *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_log1p_f64>(NumElements, Out, X);
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}
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__gpu_kernel void log1pfKernel(const float *X, float *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_log1p_f32>(NumElements, Out, X);
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}
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__gpu_kernel void log2Kernel(const double *X, double *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_log2_f64>(NumElements, Out, X);
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}
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__gpu_kernel void log2fKernel(const float *X, float *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_log2_f32>(NumElements, Out, X);
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}
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__gpu_kernel void log2f16Kernel(const float16 *X, float16 *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_log2_f16>(NumElements, Out, X);
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}
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__gpu_kernel void powfKernel(const float *X, float *Y, float *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_pow_f32>(NumElements, Out, X, Y);
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}
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__gpu_kernel void powfRoundedExponentKernel(const float *X, float *Y,
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float *Out,
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size_t NumElements) noexcept {
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runKernelBody<powfRoundedExponent>(NumElements, Out, X, Y);
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}
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__gpu_kernel void sinKernel(const double *X, double *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_sin_f64>(NumElements, Out, X);
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}
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__gpu_kernel void sinfKernel(const float *X, float *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_sin_f32>(NumElements, Out, X);
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}
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__gpu_kernel void sinf16Kernel(const float16 *X, float16 *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_sin_f16>(NumElements, Out, X);
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}
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__gpu_kernel void sincosSinKernel(const double *X, double *Out,
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size_t NumElements) noexcept {
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runKernelBody<sincosSin>(NumElements, Out, X);
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}
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__gpu_kernel void sincosCosKernel(const double *X, double *Out,
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size_t NumElements) noexcept {
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runKernelBody<sincosCos>(NumElements, Out, X);
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}
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__gpu_kernel void sincosfSinKernel(const float *X, float *Out,
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size_t NumElements) noexcept {
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runKernelBody<sincosfSin>(NumElements, Out, X);
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}
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__gpu_kernel void sincosfCosKernel(const float *X, float *Out,
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size_t NumElements) noexcept {
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runKernelBody<sincosfCos>(NumElements, Out, X);
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}
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__gpu_kernel void sinhfKernel(const float *X, float *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_sinh_f32>(NumElements, Out, X);
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}
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__gpu_kernel void sinhf16Kernel(const float16 *X, float16 *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_sinh_f16>(NumElements, Out, X);
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}
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__gpu_kernel void sinpifKernel(const float *X, float *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_sinpi_f32>(NumElements, Out, X);
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}
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__gpu_kernel void tanKernel(const double *X, double *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_tan_f64>(NumElements, Out, X);
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}
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__gpu_kernel void tanfKernel(const float *X, float *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_tan_f32>(NumElements, Out, X);
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}
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__gpu_kernel void tanf16Kernel(const float16 *X, float16 *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_tan_f16>(NumElements, Out, X);
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}
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__gpu_kernel void tanhfKernel(const float *X, float *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_tanh_f32>(NumElements, Out, X);
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}
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__gpu_kernel void tanhf16Kernel(const float16 *X, float16 *Out,
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size_t NumElements) noexcept {
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runKernelBody<__ocml_tanh_f16>(NumElements, Out, X);
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}
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} // extern "C"
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#endif // HIP_MATH_FOUND
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