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TheRock/rocm-libraries/projects/hipblaslt/clients/common/include/unit.hpp
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Flatten subprojects into a single base monorepo
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701 lines
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/*******************************************************************************
*
* MIT License
*
* Copyright (C) 2022-2024 Advanced Micro Devices, Inc.
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*
*******************************************************************************/
/* ========================================Gtest Unit Check
* ==================================================== */
/*! \brief gtest unit compare two matrices float/double/complex */
#pragma once
#include "hipblaslt_math.hpp"
#include "hipblaslt_ostream.hpp"
#include "hipblaslt_test.hpp"
#include "hipblaslt_vector.hpp"
#include <hipblaslt/hipblaslt.h>
#ifndef GOOGLE_TEST
#define UNIT_CHECK(M, N, lda, strideA, hCPU, hGPU, batch_count, UNIT_ASSERT_EQ)
#define UNIT_CHECK_B(M, N, lda, hCPU, hGPU, batch_count, UNIT_ASSERT_EQ)
#else
#define UNIT_CHECK(M, N, lda, strideA, hCPU, hGPU, batch_count, UNIT_ASSERT_EQ) \
do \
{ \
for(size_t k = 0; k < batch_count; k++) \
for(size_t j = 0; j < N; j++) \
for(size_t i = 0; i < M; i++) \
if(hipblaslt_isnan(hCPU[i + j * size_t(lda) + k * strideA])) \
{ \
ASSERT_TRUE(hipblaslt_isnan(hGPU[i + j * size_t(lda) + k * strideA])); \
} \
else \
{ \
UNIT_ASSERT_EQ(hCPU[i + j * size_t(lda) + k * strideA], \
hGPU[i + j * size_t(lda) + k * strideA]); \
} \
} while(0)
#define UNIT_CHECK_B(M, N, lda, hCPU, hGPU, batch_count, UNIT_ASSERT_EQ) \
do \
{ \
for(size_t k = 0; k < batch_count; k++) \
for(size_t j = 0; j < N; j++) \
for(size_t i = 0; i < M; i++) \
if(hipblaslt_isnan(hCPU[k][i + j * size_t(lda)])) \
{ \
ASSERT_TRUE(hipblaslt_isnan(hGPU[k][i + j * size_t(lda)])); \
} \
else \
{ \
UNIT_ASSERT_EQ(hCPU[k][i + j * size_t(lda)], \
hGPU[k][i + j * size_t(lda)]); \
} \
} while(0)
#define ASSERT_HALF_EQ(a, b) ASSERT_FLOAT_EQ(float(a), float(b))
#define ASSERT_BF16_EQ(a, b) ASSERT_FLOAT_EQ(float(a), float(b))
#define ASSERT_F8_EQ(a, b) ASSERT_FLOAT_EQ(float(a), float(b))
#define ASSERT_BF8_EQ(a, b) ASSERT_FLOAT_EQ(float(a), float(b))
// Compare float to hip_bfloat16
// Allow the hip_bfloat16 to match the rounded or truncated value of float
// Only call ASSERT_FLOAT_EQ with the rounded value if the truncated value does not match
#include <gtest/internal/gtest-internal.h>
#define ASSERT_FLOAT_BF16_EQ(a, b) \
do \
{ \
using testing::internal::FloatingPoint; \
if(!FloatingPoint<float>(b).AlmostEquals( \
FloatingPoint<float>(float_to_bfloat16_truncate(a)))) \
ASSERT_FLOAT_EQ(b, hip_bfloat16(a)); \
} while(0)
#define ASSERT_FLOAT_COMPLEX_EQ(a, b) \
do \
{ \
auto ta = (a), tb = (b); \
ASSERT_FLOAT_EQ(std::real(ta), std::real(tb)); \
ASSERT_FLOAT_EQ(std::imag(ta), std::imag(tb)); \
} while(0)
#define ASSERT_DOUBLE_COMPLEX_EQ(a, b) \
do \
{ \
auto ta = (a), tb = (b); \
ASSERT_DOUBLE_EQ(std::real(ta), std::real(tb)); \
ASSERT_DOUBLE_EQ(std::imag(ta), std::imag(tb)); \
} while(0)
#endif // GOOGLE_TEST
// TODO: Replace std::remove_cv_t with std::type_identity_t in C++20
// It is only used to make T_hpa non-deduced
template <typename T, typename T_hpa = T>
inline void unit_check_general(
int64_t M, int64_t N, int64_t lda, const std::remove_cv_t<T_hpa>* hCPU, const T* hGPU);
template <>
inline void unit_check_general(
int64_t M, int64_t N, int64_t lda, const hipblaslt_f8_fnuz* hCPU, const hipblaslt_f8_fnuz* hGPU)
{
UNIT_CHECK(M, N, lda, 0, hCPU, hGPU, 1, ASSERT_F8_EQ);
}
template <>
inline void unit_check_general(int64_t M,
int64_t N,
int64_t lda,
const hipblaslt_bf8_fnuz* hCPU,
const hipblaslt_bf8_fnuz* hGPU)
{
UNIT_CHECK(M, N, lda, 0, hCPU, hGPU, 1, ASSERT_BF8_EQ);
}
template <>
inline void unit_check_general(
int64_t M, int64_t N, int64_t lda, const hipblaslt_f8* hCPU, const hipblaslt_f8* hGPU)
{
UNIT_CHECK(M, N, lda, 0, hCPU, hGPU, 1, ASSERT_F8_EQ);
}
template <>
inline void unit_check_general(
int64_t M, int64_t N, int64_t lda, const hipblaslt_bf8* hCPU, const hipblaslt_bf8* hGPU)
{
UNIT_CHECK(M, N, lda, 0, hCPU, hGPU, 1, ASSERT_BF8_EQ);
}
template <>
inline void unit_check_general(
int64_t M, int64_t N, int64_t lda, const hip_bfloat16* hCPU, const hip_bfloat16* hGPU)
{
UNIT_CHECK(M, N, lda, 0, hCPU, hGPU, 1, ASSERT_BF16_EQ);
}
template <>
inline void unit_check_general<hip_bfloat16, float>(
int64_t M, int64_t N, int64_t lda, const float* hCPU, const hip_bfloat16* hGPU)
{
UNIT_CHECK(M, N, lda, 0, hCPU, hGPU, 1, ASSERT_FLOAT_BF16_EQ);
}
template <>
inline void unit_check_general(
int64_t M, int64_t N, int64_t lda, const hipblasLtHalf* hCPU, const hipblasLtHalf* hGPU)
{
UNIT_CHECK(M, N, lda, 0, hCPU, hGPU, 1, ASSERT_HALF_EQ);
}
template <>
inline void
unit_check_general(int64_t M, int64_t N, int64_t lda, const float* hCPU, const float* hGPU)
{
UNIT_CHECK(M, N, lda, 0, hCPU, hGPU, 1, ASSERT_FLOAT_EQ);
}
template <>
inline void
unit_check_general(int64_t M, int64_t N, int64_t lda, const double* hCPU, const double* hGPU)
{
UNIT_CHECK(M, N, lda, 0, hCPU, hGPU, 1, ASSERT_DOUBLE_EQ);
}
template <>
inline void
unit_check_general(int64_t M, int64_t N, int64_t lda, const int64_t* hCPU, const int64_t* hGPU)
{
UNIT_CHECK(M, N, lda, 0, hCPU, hGPU, 1, ASSERT_EQ);
}
template <>
inline void
unit_check_general(int64_t M, int64_t N, int64_t lda, const int8_t* hCPU, const int8_t* hGPU)
{
UNIT_CHECK(M, N, lda, 0, hCPU, hGPU, 1, ASSERT_EQ);
}
template <typename T, typename T_hpa = T>
inline void unit_check_general(int64_t M,
int64_t N,
int64_t lda,
int64_t strideA,
const std::remove_cv_t<T_hpa>* hCPU,
const T* hGPU,
int64_t batch_count);
template <>
inline void unit_check_general(int64_t M,
int64_t N,
int64_t lda,
int64_t strideA,
const hip_bfloat16* hCPU,
const hip_bfloat16* hGPU,
int64_t batch_count)
{
UNIT_CHECK(M, N, lda, strideA, hCPU, hGPU, batch_count, ASSERT_BF16_EQ);
}
template <>
inline void unit_check_general(int64_t M,
int64_t N,
int64_t lda,
int64_t strideA,
const hipblaslt_f8_fnuz* hCPU,
const hipblaslt_f8_fnuz* hGPU,
int64_t batch_count)
{
UNIT_CHECK(M, N, lda, strideA, hCPU, hGPU, batch_count, ASSERT_F8_EQ);
}
template <>
inline void unit_check_general(int64_t M,
int64_t N,
int64_t lda,
int64_t strideA,
const hipblaslt_bf8_fnuz* hCPU,
const hipblaslt_bf8_fnuz* hGPU,
int64_t batch_count)
{
UNIT_CHECK(M, N, lda, strideA, hCPU, hGPU, batch_count, ASSERT_BF8_EQ);
}
template <>
inline void unit_check_general(int64_t M,
int64_t N,
int64_t lda,
int64_t strideA,
const hipblaslt_f8* hCPU,
const hipblaslt_f8* hGPU,
int64_t batch_count)
{
UNIT_CHECK(M, N, lda, strideA, hCPU, hGPU, batch_count, ASSERT_F8_EQ);
}
template <>
inline void unit_check_general(int64_t M,
int64_t N,
int64_t lda,
int64_t strideA,
const hipblaslt_bf8* hCPU,
const hipblaslt_bf8* hGPU,
int64_t batch_count)
{
UNIT_CHECK(M, N, lda, strideA, hCPU, hGPU, batch_count, ASSERT_BF8_EQ);
}
template <>
inline void unit_check_general<hip_bfloat16, float>(int64_t M,
int64_t N,
int64_t lda,
int64_t strideA,
const float* hCPU,
const hip_bfloat16* hGPU,
int64_t batch_count)
{
UNIT_CHECK(M, N, lda, strideA, hCPU, hGPU, batch_count, ASSERT_FLOAT_BF16_EQ);
}
template <>
inline void unit_check_general(int64_t M,
int64_t N,
int64_t lda,
int64_t strideA,
const hipblasLtHalf* hCPU,
const hipblasLtHalf* hGPU,
int64_t batch_count)
{
UNIT_CHECK(M, N, lda, strideA, hCPU, hGPU, batch_count, ASSERT_HALF_EQ);
}
template <>
inline void unit_check_general(int64_t M,
int64_t N,
int64_t lda,
int64_t strideA,
const float* hCPU,
const float* hGPU,
int64_t batch_count)
{
UNIT_CHECK(M, N, lda, strideA, hCPU, hGPU, batch_count, ASSERT_FLOAT_EQ);
}
template <>
inline void unit_check_general(int64_t M,
int64_t N,
int64_t lda,
int64_t strideA,
const double* hCPU,
const double* hGPU,
int64_t batch_count)
{
UNIT_CHECK(M, N, lda, strideA, hCPU, hGPU, batch_count, ASSERT_DOUBLE_EQ);
}
template <>
inline void unit_check_general(int64_t M,
int64_t N,
int64_t lda,
int64_t strideA,
const int64_t* hCPU,
const int64_t* hGPU,
int64_t batch_count)
{
UNIT_CHECK(M, N, lda, strideA, hCPU, hGPU, batch_count, ASSERT_EQ);
}
template <>
inline void unit_check_general(int64_t M,
int64_t N,
int64_t lda,
int64_t strideA,
const int8_t* hCPU,
const int8_t* hGPU,
int64_t batch_count)
{
UNIT_CHECK(M, N, lda, strideA, hCPU, hGPU, batch_count, ASSERT_EQ);
}
template <>
inline void unit_check_general(int64_t M,
int64_t N,
int64_t lda,
int64_t strideA,
const int32_t* hCPU,
const int32_t* hGPU,
int64_t batch_count)
{
UNIT_CHECK(M, N, lda, strideA, hCPU, hGPU, batch_count, ASSERT_EQ);
}
template <typename T, typename T_hpa = T>
inline void unit_check_general(int64_t M,
int64_t N,
int64_t lda,
const host_vector<std::remove_cv_t<T_hpa>> hCPU[],
const host_vector<T> hGPU[],
int64_t batch_count);
template <>
inline void unit_check_general(int64_t M,
int64_t N,
int64_t lda,
const host_vector<hip_bfloat16> hCPU[],
const host_vector<hip_bfloat16> hGPU[],
int64_t batch_count)
{
UNIT_CHECK_B(M, N, lda, hCPU, hGPU, batch_count, ASSERT_BF16_EQ);
}
template <>
inline void unit_check_general<hip_bfloat16, float>(int64_t M,
int64_t N,
int64_t lda,
const host_vector<float> hCPU[],
const host_vector<hip_bfloat16> hGPU[],
int64_t batch_count)
{
UNIT_CHECK_B(M, N, lda, hCPU, hGPU, batch_count, ASSERT_FLOAT_BF16_EQ);
}
template <>
inline void unit_check_general(int64_t M,
int64_t N,
int64_t lda,
const host_vector<hipblasLtHalf> hCPU[],
const host_vector<hipblasLtHalf> hGPU[],
int64_t batch_count)
{
UNIT_CHECK_B(M, N, lda, hCPU, hGPU, batch_count, ASSERT_HALF_EQ);
}
template <>
inline void unit_check_general(int64_t M,
int64_t N,
int64_t lda,
const host_vector<int> hCPU[],
const host_vector<int> hGPU[],
int64_t batch_count)
{
UNIT_CHECK_B(M, N, lda, hCPU, hGPU, batch_count, ASSERT_EQ);
}
template <>
inline void unit_check_general(int64_t M,
int64_t N,
int64_t lda,
const host_vector<int8_t> hCPU[],
const host_vector<int8_t> hGPU[],
int64_t batch_count)
{
UNIT_CHECK_B(M, N, lda, hCPU, hGPU, batch_count, ASSERT_EQ);
}
template <>
inline void unit_check_general(int64_t M,
int64_t N,
int64_t lda,
const host_vector<float> hCPU[],
const host_vector<float> hGPU[],
int64_t batch_count)
{
UNIT_CHECK_B(M, N, lda, hCPU, hGPU, batch_count, ASSERT_FLOAT_EQ);
}
template <>
inline void unit_check_general(int64_t M,
int64_t N,
int64_t lda,
const host_vector<double> hCPU[],
const host_vector<double> hGPU[],
int64_t batch_count)
{
UNIT_CHECK_B(M, N, lda, hCPU, hGPU, batch_count, ASSERT_DOUBLE_EQ);
}
template <typename T, typename T_hpa = T>
inline void unit_check_general(int64_t M,
int64_t N,
int64_t lda,
const std::remove_cv_t<T_hpa>* const hCPU[],
const T* const hGPU[],
int64_t batch_count);
template <>
inline void unit_check_general(int64_t M,
int64_t N,
int64_t lda,
const hip_bfloat16* const hCPU[],
const hip_bfloat16* const hGPU[],
int64_t batch_count)
{
UNIT_CHECK_B(M, N, lda, hCPU, hGPU, batch_count, ASSERT_BF16_EQ);
}
template <>
inline void unit_check_general<hip_bfloat16, float>(int64_t M,
int64_t N,
int64_t lda,
const float* const hCPU[],
const hip_bfloat16* const hGPU[],
int64_t batch_count)
{
UNIT_CHECK_B(M, N, lda, hCPU, hGPU, batch_count, ASSERT_FLOAT_BF16_EQ);
}
template <>
inline void unit_check_general(int64_t M,
int64_t N,
int64_t lda,
const hipblasLtHalf* const hCPU[],
const hipblasLtHalf* const hGPU[],
int64_t batch_count)
{
UNIT_CHECK_B(M, N, lda, hCPU, hGPU, batch_count, ASSERT_HALF_EQ);
}
template <>
inline void unit_check_general(int64_t M,
int64_t N,
int64_t lda,
const int* const hCPU[],
const int* const hGPU[],
int64_t batch_count)
{
UNIT_CHECK_B(M, N, lda, hCPU, hGPU, batch_count, ASSERT_EQ);
}
template <>
inline void unit_check_general(int64_t M,
int64_t N,
int64_t lda,
const int8_t* const hCPU[],
const int8_t* const hGPU[],
int64_t batch_count)
{
UNIT_CHECK_B(M, N, lda, hCPU, hGPU, batch_count, ASSERT_EQ);
}
template <>
inline void unit_check_general(int64_t M,
int64_t N,
int64_t lda,
const float* const hCPU[],
const float* const hGPU[],
int64_t batch_count)
{
UNIT_CHECK_B(M, N, lda, hCPU, hGPU, batch_count, ASSERT_FLOAT_EQ);
}
template <>
inline void unit_check_general(int64_t M,
int64_t N,
int64_t lda,
const double* const hCPU[],
const double* const hGPU[],
int64_t batch_count)
{
UNIT_CHECK_B(M, N, lda, hCPU, hGPU, batch_count, ASSERT_DOUBLE_EQ);
}
// Specialization for std::complex<float>
template <>
inline void unit_check_general(int64_t M,
int64_t N,
int64_t lda,
int64_t strideA,
const std::complex<float>* hCPU,
const std::complex<float>* hGPU,
int64_t batch_count)
{
UNIT_CHECK(M, N, lda, strideA, hCPU, hGPU, batch_count, ASSERT_FLOAT_COMPLEX_EQ);
}
// Specialization for std::complex<double>
template <>
inline void unit_check_general(int64_t M,
int64_t N,
int64_t lda,
int64_t strideA,
const std::complex<double>* hCPU,
const std::complex<double>* hGPU,
int64_t batch_count)
{
UNIT_CHECK(M, N, lda, strideA, hCPU, hGPU, batch_count, ASSERT_DOUBLE_COMPLEX_EQ);
}
template <typename T>
constexpr double get_epsilon()
{
return std::numeric_limits<T>::epsilon();
}
template <typename T>
inline int64_t unit_check_diff(
int64_t M, int64_t N, int64_t lda, int64_t stride, T* hCPU, T* hGPU, int64_t batch_count)
{
using c_type = std::conditional_t<std::is_same<hipblasLtHalf, T>::value, float, T>;
int64_t error = 0;
do
{
for(size_t k = 0; k < batch_count; k++)
for(size_t j = 0; j < N; j++)
for(size_t i = 0; i < M; i++)
if(hipblaslt_isnan(hCPU[i + j * size_t(lda) + k * stride]))
{
error += hipblaslt_isnan(hGPU[i + j * size_t(lda) + k * stride]) ? 0 : 1;
}
else
{
error += static_cast<c_type>(hCPU[i + j * size_t(lda) + k * stride])
== static_cast<c_type>(
hGPU[i + j * size_t(lda) + k * stride])
? 0
: 1;
}
} while(0);
return error;
}
inline void unit_check_general(int64_t M,
int64_t N,
int64_t lda,
int64_t strideA,
void* hCPU,
void* hGPU,
int64_t batch_count,
hipDataType type)
{
switch(type)
{
case HIP_R_32F:
unit_check_general(
M, N, lda, strideA, static_cast<float*>(hCPU), static_cast<float*>(hGPU), batch_count);
break;
case HIP_R_64F:
unit_check_general(M,
N,
lda,
strideA,
static_cast<double*>(hCPU),
static_cast<double*>(hGPU),
batch_count);
break;
case HIP_C_32F:
unit_check_general(M,
N,
lda,
strideA,
static_cast<std::complex<float>*>(hCPU),
static_cast<std::complex<float>*>(hGPU),
batch_count);
break;
case HIP_C_64F:
unit_check_general(M,
N,
lda,
strideA,
static_cast<std::complex<double>*>(hCPU),
static_cast<std::complex<double>*>(hGPU),
batch_count);
break;
case HIP_R_16F:
unit_check_general(M,
N,
lda,
strideA,
static_cast<hipblasLtHalf*>(hCPU),
static_cast<hipblasLtHalf*>(hGPU),
batch_count);
break;
case HIP_R_16BF:
unit_check_general(M,
N,
lda,
strideA,
static_cast<hip_bfloat16*>(hCPU),
static_cast<hip_bfloat16*>(hGPU),
batch_count);
break;
case HIP_R_8F_E4M3_FNUZ:
unit_check_general(M,
N,
lda,
strideA,
static_cast<hipblaslt_f8_fnuz*>(hCPU),
static_cast<hipblaslt_f8_fnuz*>(hGPU),
batch_count);
break;
case HIP_R_8F_E5M2_FNUZ:
unit_check_general(M,
N,
lda,
strideA,
static_cast<hipblaslt_bf8_fnuz*>(hCPU),
static_cast<hipblaslt_bf8_fnuz*>(hGPU),
batch_count);
break;
case HIP_R_8F_E4M3:
unit_check_general(M,
N,
lda,
strideA,
static_cast<hipblaslt_f8*>(hCPU),
static_cast<hipblaslt_f8*>(hGPU),
batch_count);
break;
case HIP_R_8F_E5M2:
unit_check_general(M,
N,
lda,
strideA,
static_cast<hipblaslt_bf8*>(hCPU),
static_cast<hipblaslt_bf8*>(hGPU),
batch_count);
break;
case HIP_R_32I:
unit_check_general(M,
N,
lda,
strideA,
static_cast<int32_t*>(hCPU),
static_cast<int32_t*>(hGPU),
batch_count);
break;
case HIP_R_8I:
unit_check_general(M,
N,
lda,
strideA,
static_cast<hipblasLtInt8*>(hCPU),
static_cast<hipblasLtInt8*>(hGPU),
batch_count);
break;
default:
hipblaslt_cerr << "Error type in unit_check_general" << std::endl;
break;
}
}