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EXSWHTEC-305 - Implement tests for double type casting intrinsics #283

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Change-Id: Iacf67376949eed4a84f7e9e95bb51fd31b5ec6a4


[ROCm/hip-tests commit: 59d6807cdb]
このコミットが含まれているのは:
Nives Vukovic
2024-01-24 00:57:39 +05:30
committed by Rakesh Roy
親 70cf4c9dac
コミット e15f64fa3b
5個のファイルの変更、1009行の追加、0行の削除
Patchファイルをダウンロード Diffファイルをダウンロード すべてのファイルを展開 すべてのファイルを折り畳む
projects/hip-tests/catch/unit/math/CMakeLists.txt
+5
ファイルの表示
@@ -29,6 +29,7 @@ set(TEST_SRC
pow_funcs.cc
log_funcs.cc
special_funcs.cc
casting_double_funcs.cc
)
if(HIP_PLATFORM MATCHES "nvidia")
@@ -101,3 +102,7 @@ add_test(NAME Unit_Device_special_funcs_Negative
COMMAND python3 ${CMAKE_CURRENT_SOURCE_DIR}/../compileAndCaptureOutput.py
${CMAKE_CURRENT_SOURCE_DIR} ${HIP_PLATFORM} ${HIP_PATH}
math_special_func_kernels.cc 76)
add_test(NAME Unit_Device_casting_double_Negative
COMMAND python3 ${CMAKE_CURRENT_SOURCE_DIR}/../compileAndCaptureOutput.py
${CMAKE_CURRENT_SOURCE_DIR} ${HIP_PLATFORM} ${HIP_PATH}
casting_double_negative_kernels.cc 69)
projects/hip-tests/catch/unit/math/casting_common.hh
+195
ファイルの表示
@@ -0,0 +1,195 @@
/*
Copyright (c) 2023 Advanced Micro Devices, Inc. All rights reserved.
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.
*/
#pragma once
#include "unary_common.hh"
#include <fenv.h>
namespace cg = cooperative_groups;
#define CAST_KERNEL_DEF(func_name, T1, T2) \
__global__ void func_name##_kernel(T1* const ys, const size_t num_xs, T2* const xs) { \
const auto tid = cg::this_grid().thread_rank(); \
const auto stride = cg::this_grid().size(); \
\
for (auto i = tid; i < num_xs; i += stride) { \
ys[i] = func_name(xs[i]); \
} \
}
#define CAST_F2I_REF_DEF(func_name, T1, T2, ref_func) \
T1 func_name##_ref(T2 arg) { \
if (arg >= static_cast<T2>(std::numeric_limits<T1>::max())) \
return std::numeric_limits<T1>::max(); \
else if (arg <= static_cast<T2>(std::numeric_limits<T1>::min())) \
return std::numeric_limits<T1>::min(); \
T2 result = ref_func(arg); \
return result; \
}
#define CAST_F2I_RZ_REF_DEF(func_name, T1, T2) \
T1 func_name##_ref(T2 arg) { \
if (arg >= static_cast<double>(std::numeric_limits<T1>::max())) \
return std::numeric_limits<T1>::max(); \
else if (arg <= static_cast<double>(std::numeric_limits<T1>::min())) \
return std::numeric_limits<T1>::min(); \
T1 result = static_cast<T1>(arg); \
return result; \
}
#define CAST_RND_REF_DEF(func_name, T1, T2, round_dir) \
T1 func_name##_ref(T2 arg) { \
int curr_direction = fegetround(); \
fesetround(round_dir); \
T1 result = static_cast<T1>(arg); \
fesetround(curr_direction); \
return result; \
}
#define CAST_REF_DEF(func_name, T1, T2) \
T1 func_name##_ref(T2 arg) { \
T1 result = static_cast<T1>(arg); \
return result; \
}
template <typename T1, typename T2> T1 type2_as_type1_ref(T2 arg) {
T1 tmp;
memcpy(&tmp, &arg, sizeof(tmp));
return tmp;
}
template <typename T, typename ValidatorBuilder>
void CastDoublePrecisionSpecialValuesTest(kernel_sig<T, double> kernel, ref_sig<T, double> ref_func,
const ValidatorBuilder& validator_builder) {
const auto [grid_size, block_size] = GetOccupancyMaxPotentialBlockSize(kernel);
const auto values = std::get<SpecialVals<double>>(kSpecialValRegistry);
std::vector<double> spec_values;
if (!std::is_same_v<float, T> && !std::is_same_v<double, T> && !std::is_same_v<long double, T>) {
for (int i = 0; i < values.size; i++) {
if (!std::isnan(values.data[i]) && !std::isinf(values.data[i])) {
spec_values.push_back(values.data[i]);
}
}
}
MathTest math_test(kernel, spec_values.size());
math_test.template Run<false>(validator_builder, grid_size, block_size, ref_func,
spec_values.size(), spec_values.data());
}
template <typename T, typename ValidatorBuilder>
void CastDoublePrecisionTest(kernel_sig<T, double> kernel, ref_sig<T, double> ref,
const ValidatorBuilder& validator_builder) {
SECTION("Special values") {
CastDoublePrecisionSpecialValuesTest(kernel, ref, validator_builder);
}
SECTION("Brute force") { UnaryDoublePrecisionBruteForceTest(kernel, ref, validator_builder); }
}
template <typename T, typename TArg, typename RT, typename RTArg, typename ValidatorBuilder>
void CastIntRangeTest(kernel_sig<T, TArg> kernel, ref_sig<RT, RTArg> ref_func,
const ValidatorBuilder& validator_builder,
const TArg a = std::numeric_limits<TArg>::lowest(),
const TArg b = std::numeric_limits<TArg>::max()) {
const auto [grid_size, block_size] = GetOccupancyMaxPotentialBlockSize(kernel);
const auto max_batch_size = GetMaxAllowedDeviceMemoryUsage() / (sizeof(T) + sizeof(TArg));
LinearAllocGuard<TArg> values{LinearAllocs::hipHostMalloc, max_batch_size * sizeof(TArg)};
MathTest math_test(kernel, max_batch_size);
size_t inserted = 0u;
for (TArg v = a; v <= b; v++) {
values.ptr()[inserted++] = v;
if (inserted < max_batch_size) continue;
math_test.Run(validator_builder, grid_size, block_size, ref_func, inserted, values.ptr());
inserted = 0u;
}
}
template <typename T, typename TArg, typename RT, typename RTArg, typename ValidatorBuilder>
void CastIntBruteForceTest(kernel_sig<T, TArg> kernel, ref_sig<RT, RTArg> ref_func,
const ValidatorBuilder& validator_builder,
const TArg a = std::numeric_limits<TArg>::lowest(),
const TArg b = std::numeric_limits<TArg>::max()) {
const auto [grid_size, block_size] = GetOccupancyMaxPotentialBlockSize(kernel);
const uint64_t num_iterations = GetTestIterationCount();
const auto max_batch_size =
std::min(GetMaxAllowedDeviceMemoryUsage() / (sizeof(T) + sizeof(TArg)), num_iterations);
LinearAllocGuard<TArg> values{LinearAllocs::hipHostMalloc, max_batch_size * sizeof(TArg)};
MathTest math_test(kernel, max_batch_size);
auto batch_size = max_batch_size;
const auto num_threads = thread_pool.thread_count();
for (uint64_t i = 0ul; i < num_iterations; i += batch_size) {
batch_size = std::min<uint64_t>(max_batch_size, num_iterations - i);
const auto min_sub_batch_size = batch_size / num_threads;
const auto tail = batch_size % num_threads;
auto base_idx = 0u;
for (auto i = 0u; i < num_threads; ++i) {
const auto sub_batch_size = min_sub_batch_size + (i < tail);
thread_pool.Post([=, &values] {
const auto generator = [=] {
static thread_local std::mt19937 rng(std::random_device{}());
std::uniform_int_distribution<TArg> unif_dist(a, b);
return static_cast<TArg>(unif_dist(rng));
};
std::generate(values.ptr() + base_idx, values.ptr() + base_idx + sub_batch_size, generator);
});
base_idx += sub_batch_size;
}
thread_pool.Wait();
math_test.Run(validator_builder, grid_size, block_size, ref_func, batch_size, values.ptr());
}
}
template <typename T1, typename T2, typename ValidatorBuilder>
void CastBinaryIntRangeTest(kernel_sig<T1, T2, T2> kernel, ref_sig<T1, T2, T2> ref_func,
const ValidatorBuilder& validator_builder,
const T2 a = std::numeric_limits<T2>::lowest(),
const T2 b = std::numeric_limits<T2>::max()) {
const auto [grid_size, block_size] = GetOccupancyMaxPotentialBlockSize(kernel);
const auto max_batch_size = GetMaxAllowedDeviceMemoryUsage() / (sizeof(T1) + 2 * sizeof(T2));
LinearAllocGuard<T2> values1{LinearAllocs::hipHostMalloc, max_batch_size * sizeof(T2)};
LinearAllocGuard<T2> values2{LinearAllocs::hipHostMalloc, max_batch_size * sizeof(T2)};
MathTest math_test(kernel, max_batch_size);
size_t inserted = 0u;
for (T2 v = a; v <= b; v++) {
values1.ptr()[inserted] = v;
values2.ptr()[inserted++] = b - v;
if (inserted < max_batch_size) continue;
math_test.Run(validator_builder, grid_size, block_size, ref_func, inserted, values1.ptr(),
values2.ptr());
inserted = 0u;
}
}
projects/hip-tests/catch/unit/math/casting_double_funcs.cc
+597
ファイルの表示
@@ -0,0 +1,597 @@
/*
Copyright (c) 2023 Advanced Micro Devices, Inc. All rights reserved.
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.
*/
#include "casting_common.hh"
#include "casting_double_negative_kernels_rtc.hh"
/**
* @addtogroup CastingDoubleType CastingDoubleType
* @{
* @ingroup MathTest
*/
#define CAST_DOUBLE2INT_TEST_DEF(kern_name, T, ref_func) \
CAST_KERNEL_DEF(kern_name, T, double) \
CAST_F2I_REF_DEF(kern_name, T, double, ref_func) \
\
TEST_CASE("Unit_Device_" #kern_name "_Positive") { \
T (*ref)(double) = kern_name##_ref; \
CastDoublePrecisionTest(kern_name##_kernel, ref, EqValidatorBuilderFactory<T>()); \
}
#define CAST_DOUBLE2INT_RZ_TEST_DEF(kern_name, T) \
CAST_KERNEL_DEF(kern_name, T, double) \
CAST_F2I_RZ_REF_DEF(kern_name, T, double) \
\
TEST_CASE("Unit_Device_" #kern_name "_Positive") { \
T (*ref)(double) = kern_name##_ref; \
CastDoublePrecisionTest(kern_name##_kernel, ref, EqValidatorBuilderFactory<T>()); \
}
/**
* Test Description
* ------------------------
* - Tests that checks `__double2int_rd` against a table of difficult values, followed by a large
* number of randomly generated values. The results are compared against reference function
* `std::floor`.
*
* Test source
* ------------------------
* - unit/math/casting_double_funcs.cc
* Test requirements
* ------------------------
* - HIP_VERSION >= 5.2
*/
CAST_DOUBLE2INT_TEST_DEF(__double2int_rd, int, std::floor)
/**
* Test Description
* ------------------------
* - Tests that checks `__double2int_rn` against a table of difficult values, followed by a large
* number of randomly generated values. The results are compared against reference function
* `std::rint`.
*
* Test source
* ------------------------
* - unit/math/casting_double_funcs.cc
* Test requirements
* ------------------------
* - HIP_VERSION >= 5.2
*/
CAST_DOUBLE2INT_TEST_DEF(__double2int_rn, int, std::rint)
/**
* Test Description
* ------------------------
* - Tests that checks `__double2int_ru` against a table of difficult values, followed by a large
* number of randomly generated values. The results are compared against reference function
* `std::ceil`.
*
* Test source
* ------------------------
* - unit/math/casting_double_funcs.cc
* Test requirements
* ------------------------
* - HIP_VERSION >= 5.2
*/
CAST_DOUBLE2INT_TEST_DEF(__double2int_ru, int, std::ceil)
/**
* Test Description
* ------------------------
* - Tests that checks `__double2int_rz` against a table of difficult values, followed by a large
* number of randomly generated values. The results are compared against reference function which
* performs cast to int.
*
* Test source
* ------------------------
* - unit/math/casting_double_funcs.cc
* Test requirements
* ------------------------
* - HIP_VERSION >= 5.2
*/
CAST_DOUBLE2INT_RZ_TEST_DEF(__double2int_rz, int)
/**
* Test Description
* ------------------------
* - RTCs kernels that pass argument of invalid type for __double2int_[rd,rn,ru,rz].
*
* Test source
* ------------------------
* - unit/math/casting_double_funcs.cc
* Test requirements
* ------------------------
* - HIP_VERSION >= 5.2
*/
TEST_CASE("Unit_Device___double2int_Negative_RTC") { NegativeTestRTCWrapper<12>(kDouble2Int); }
/**
* Test Description
* ------------------------
* - Tests that checks `__double2uint_rd` against a table of difficult values, followed by a
* large number of randomly generated values. The results are compared against reference function
* `std::floor`.
*
* Test source
* ------------------------
* - unit/math/casting_double_funcs.cc
* Test requirements
* ------------------------
* - HIP_VERSION >= 5.2
*/
CAST_DOUBLE2INT_TEST_DEF(__double2uint_rd, unsigned int, std::floor)
/**
* Test Description
* ------------------------
* - Tests that checks `__double2uint_rn` against a table of difficult values, followed by a
* large number of randomly generated values. The results are compared against reference function
* `std::rint`.
*
* Test source
* ------------------------
* - unit/math/casting_double_funcs.cc
* Test requirements
* ------------------------
* - HIP_VERSION >= 5.2
*/
CAST_DOUBLE2INT_TEST_DEF(__double2uint_rn, unsigned int, std::rint)
/**
* Test Description
* ------------------------
* - Tests that checks `__double2uint_ru` against a table of difficult values, followed by a
* large number of randomly generated values. The results are compared against reference function
* `std::ceil`.
*
* Test source
* ------------------------
* - unit/math/casting_double_funcs.cc
* Test requirements
* ------------------------
* - HIP_VERSION >= 5.2
*/
CAST_DOUBLE2INT_TEST_DEF(__double2uint_ru, unsigned int, std::ceil)
/**
* Test Description
* ------------------------
* - Tests that checks `__double2uint_rz` against a table of difficult values, followed by a
* large number of randomly generated values. The results are compared against reference function
* which performs cast to unsigned int.
*
* Test source
* ------------------------
* - unit/math/casting_double_funcs.cc
* Test requirements
* ------------------------
* - HIP_VERSION >= 5.2
*/
CAST_DOUBLE2INT_RZ_TEST_DEF(__double2uint_rz, unsigned int)
/**
* Test Description
* ------------------------
* - RTCs kernels that pass argument of invalid type for __double2uint_[rd,rn,ru,rz].
*
* Test source
* ------------------------
* - unit/math/casting_double_funcs.cc
* Test requirements
* ------------------------
* - HIP_VERSION >= 5.2
*/
TEST_CASE("Unit_Device___double2uint_Negative_RTC") { NegativeTestRTCWrapper<12>(kDouble2Uint); }
#define CAST_DOUBLE2LL_TEST_DEF(kern_name, T, ref_func) \
CAST_KERNEL_DEF(kern_name, T, double) \
CAST_F2I_REF_DEF(kern_name, T, double, ref_func) \
\
TEST_CASE("Unit_Device_" #kern_name "_Positive") { \
T (*ref)(double) = kern_name##_ref; \
UnaryDoublePrecisionBruteForceTest(kern_name##_kernel, ref, EqValidatorBuilderFactory<T>(), \
static_cast<double>(std::numeric_limits<T>::min()), \
static_cast<double>(std::numeric_limits<T>::max())); \
}
#define CAST_DOUBLE2LL_RZ_TEST_DEF(kern_name, T) \
CAST_KERNEL_DEF(kern_name, T, double) \
CAST_F2I_RZ_REF_DEF(kern_name, T, double) \
\
TEST_CASE("Unit_Device_" #kern_name "_Positive") { \
T (*ref)(double) = kern_name##_ref; \
UnaryDoublePrecisionBruteForceTest(kern_name##_kernel, ref, EqValidatorBuilderFactory<T>(), \
static_cast<double>(std::numeric_limits<T>::min()), \
static_cast<double>(std::numeric_limits<T>::max())); \
}
/**
* Test Description
* ------------------------
* - Tests that checks `__double2ll_rd` against a table of difficult values, followed by a large
* number of randomly generated values. The results are compared against reference function
* `std::floor`.
*
* Test source
* ------------------------
* - unit/math/casting_double_funcs.cc
* Test requirements
* ------------------------
* - HIP_VERSION >= 5.2
*/
CAST_DOUBLE2LL_TEST_DEF(__double2ll_rd, long long int, std::floor)
/**
* Test Description
* ------------------------
* - Tests that checks `__double2ll_rn` against a table of difficult values, followed by a large
* number of randomly generated values. The results are compared against reference function
* `std::rint`.
*
* Test source
* ------------------------
* - unit/math/casting_double_funcs.cc
* Test requirements
* ------------------------
* - HIP_VERSION >= 5.2
*/
CAST_DOUBLE2LL_TEST_DEF(__double2ll_rn, long long int, std::rint)
/**
* Test Description
* ------------------------
* - Tests that checks `__double2ll_ru` against a table of difficult values, followed by a large
* number of randomly generated values. The results are compared against reference function
* `std::ceil`.
*
* Test source
* ------------------------
* - unit/math/casting_double_funcs.cc
* Test requirements
* ------------------------
* - HIP_VERSION >= 5.2
*/
CAST_DOUBLE2LL_TEST_DEF(__double2ll_ru, long long int, std::ceil)
/**
* Test Description
* ------------------------
* - Tests that checks `__double2ll_rz` against a table of difficult values, followed by a large
* number of randomly generated values. The results are compared against reference function which
* performs cast to long long int.
*
* Test source
* ------------------------
* - unit/math/casting_double_funcs.cc
* Test requirements
* ------------------------
* - HIP_VERSION >= 5.2
*/
CAST_DOUBLE2LL_RZ_TEST_DEF(__double2ll_rz, long long int)
/**
* Test Description
* ------------------------
* - RTCs kernels that pass argument of invalid type for __double2ll_[rd,rn,ru,rz].
*
* Test source
* ------------------------
* - unit/math/casting_double_funcs.cc
* Test requirements
* ------------------------
* - HIP_VERSION >= 5.2
*/
TEST_CASE("Unit_Device___double2ll_Negative_RTC") { NegativeTestRTCWrapper<12>(kDouble2LL); }
/**
* Test Description
* ------------------------
* - Tests that checks `__double2ull_rd` against a table of difficult values, followed by a large
* number of randomly generated values. The results are compared against reference function
* `std::floor`.
*
* Test source
* ------------------------
* - unit/math/casting_double_funcs.cc
* Test requirements
* ------------------------
* - HIP_VERSION >= 5.2
*/
CAST_DOUBLE2LL_TEST_DEF(__double2ull_rd, unsigned long long int, std::floor)
/**
* Test Description
* ------------------------
* - Tests that checks `__double2ull_rn` against a table of difficult values, followed by a large
* number of randomly generated values. The results are compared against reference function
* `std::rint`.
*
* Test source
* ------------------------
* - unit/math/casting_double_funcs.cc
* Test requirements
* ------------------------
* - HIP_VERSION >= 5.2
*/
CAST_DOUBLE2LL_TEST_DEF(__double2ull_rn, unsigned long long int, std::rint)
/**
* Test Description
* ------------------------
* - Tests that checks `__double2ull_ru` against a table of difficult values, followed by a large
* number of randomly generated values. The results are compared against reference function
* `std::ceil`.
*
* Test source
* ------------------------
* - unit/math/casting_double_funcs.cc
* Test requirements
* ------------------------
* - HIP_VERSION >= 5.2
*/
CAST_DOUBLE2LL_TEST_DEF(__double2ull_ru, unsigned long long int, std::ceil)
/**
* Test Description
* ------------------------
* - Tests that checks `__double2ull_rz` against a table of difficult values, followed by a large
* number of randomly generated values. The results are compared against reference function which
* performs cast to unsigned long long int.
*
* Test source
* ------------------------
* - unit/math/casting_double_funcs.cc
* Test requirements
* ------------------------
* - HIP_VERSION >= 5.2
*/
CAST_DOUBLE2LL_RZ_TEST_DEF(__double2ull_rz, unsigned long long int)
/**
* Test Description
* ------------------------
* - RTCs kernels that pass argument of invalid type for __double2ull_[rd,rn,ru,rz].
*
* Test source
* ------------------------
* - unit/math/casting_double_funcs.cc
* Test requirements
* ------------------------
* - HIP_VERSION >= 5.2
*/
TEST_CASE("Unit_Device___double2ull_Negative_RTC") { NegativeTestRTCWrapper<12>(kDouble2ULL); }
#define CAST_DOUBLE2FLOAT_TEST_DEF(kern_name, round_dir) \
CAST_KERNEL_DEF(kern_name, float, double) \
CAST_RND_REF_DEF(kern_name, float, double, round_dir) \
\
TEST_CASE("Unit_Device_" #kern_name "_Positive") { \
float (*ref)(double) = kern_name##_ref; \
CastDoublePrecisionTest(kern_name##_kernel, ref, EqValidatorBuilderFactory<float>()); \
}
#define CAST_DOUBLE2FLOAT_RN_TEST_DEF(kern_name) \
CAST_KERNEL_DEF(kern_name, float, double) \
CAST_REF_DEF(kern_name, float, double) \
\
TEST_CASE("Unit_Device_" #kern_name "_Positive") { \
float (*ref)(double) = kern_name##_ref; \
CastDoublePrecisionTest(kern_name##_kernel, ref, EqValidatorBuilderFactory<float>()); \
}
/**
* Test Description
* ------------------------
* - Tests that checks `__double2float_rd` against a table of difficult values, followed by a
* large number of randomly generated values. The results are compared against reference function
* which performs cast to float with rounding mode FE_DOWNWARD.
*
* Test source
* ------------------------
* - unit/math/casting_double_funcs.cc
* Test requirements
* ------------------------
* - HIP_VERSION >= 5.2
*/
CAST_DOUBLE2FLOAT_TEST_DEF(__double2float_rd, FE_DOWNWARD)
/**
* Test Description
* ------------------------
* - Tests that checks `__double2float_rn` against a table of difficult values, followed by a
* large number of randomly generated values. The results are compared against reference function
* which performs cast to float.
*
* Test source
* ------------------------
* - unit/math/casting_double_funcs.cc
* Test requirements
* ------------------------
* - HIP_VERSION >= 5.2
*/
CAST_DOUBLE2FLOAT_RN_TEST_DEF(__double2float_rn)
/**
* Test Description
* ------------------------
* - Tests that checks `__double2float_ru` against a table of difficult values, followed by a
* large number of randomly generated values. The results are compared against reference function
* which performs cast to float with rounding mode FE_UPWARD.
*
* Test source
* ------------------------
* - unit/math/casting_double_funcs.cc
* Test requirements
* ------------------------
* - HIP_VERSION >= 5.2
*/
CAST_DOUBLE2FLOAT_TEST_DEF(__double2float_ru, FE_UPWARD)
/**
* Test Description
* ------------------------
* - Tests that checks `__double2float_rz` against a table of difficult values, followed by a
* large number of randomly generated values. The results are compared against reference function
* which performs cast to float with rounding mode FE_TOWARDZERO.
*
* Test source
* ------------------------
* - unit/math/casting_double_funcs.cc
* Test requirements
* ------------------------
* - HIP_VERSION >= 5.2
*/
CAST_DOUBLE2FLOAT_TEST_DEF(__double2float_rz, FE_TOWARDZERO)
/**
* Test Description
* ------------------------
* - RTCs kernels that pass argument of invalid type for __double2float_[rd,rn,ru,rz].
*
* Test source
* ------------------------
* - unit/math/casting_double_funcs.cc
* Test requirements
* ------------------------
* - HIP_VERSION >= 5.2
*/
TEST_CASE("Unit_Device___double2float_Negative_RTC") { NegativeTestRTCWrapper<12>(kDouble2Float); }
CAST_KERNEL_DEF(__double2hiint, int, double)
int __double2hiint_ref(double arg) {
int tmp[2];
memcpy(tmp, &arg, sizeof(tmp));
return tmp[1];
}
/**
* Test Description
* ------------------------
* - Tests that checks `__double2hiint` against a table of difficult values, followed by a large
* number of randomly generated values. The results are compared against reference function which
* performs copy of higher part of double value to int variable.
*
* Test source
* ------------------------
* - unit/math/casting_double_funcs.cc
* Test requirements
* ------------------------
* - HIP_VERSION >= 5.2
*/
TEST_CASE("Unit_Device___double2hiint_Positive") {
int (*ref)(double) = __double2hiint_ref;
CastDoublePrecisionTest(__double2hiint_kernel, ref, EqValidatorBuilderFactory<int>());
}
/**
* Test Description
* ------------------------
* - RTCs kernels that pass argument of invalid type for __double2hiint.
*
* Test source
* ------------------------
* - unit/math/casting_double_funcs.cc
* Test requirements
* ------------------------
* - HIP_VERSION >= 5.2
*/
TEST_CASE("Unit_Device___double2hiint_Negative_RTC") { NegativeTestRTCWrapper<3>(kDouble2Hiint); }
CAST_KERNEL_DEF(__double2loint, int, double)
int __double2loint_ref(double arg) {
int tmp[2];
memcpy(tmp, &arg, sizeof(tmp));
return tmp[0];
}
/**
* Test Description
* ------------------------
* - Tests that checks `__double2loint` against a table of difficult values, followed by a large
* number of randomly generated values. The results are compared against reference function which
* performs copy of lower part of double value to int variable.
*
* Test source
* ------------------------
* - unit/math/casting_double_funcs.cc
* Test requirements
* ------------------------
* - HIP_VERSION >= 5.2
*/
TEST_CASE("Unit_Device___double2loint_Positive") {
int (*ref)(double) = __double2loint_ref;
CastDoublePrecisionTest(__double2loint_kernel, ref, EqValidatorBuilderFactory<int>());
}
/**
* Test Description
* ------------------------
* - RTCs kernels that pass argument of invalid type for __double2loint.
*
* Test source
* ------------------------
* - unit/math/casting_double_funcs.cc
* Test requirements
* ------------------------
* - HIP_VERSION >= 5.2
*/
TEST_CASE("Unit_Device___double2loint_Negative_RTC") { NegativeTestRTCWrapper<3>(kDouble2Loint); }
CAST_KERNEL_DEF(__double_as_longlong, long long int, double)
/**
* Test Description
* ------------------------
* - Tests that checks `__double_as_longlong` against a table of difficult values, followed by a
* large number of randomly generated values. The results are compared against reference function
* which performs copy of double value to long long int variable.
*
* Test source
* ------------------------
* - unit/math/casting_double_funcs.cc
* Test requirements
* ------------------------
* - HIP_VERSION >= 5.2
*/
TEST_CASE("Unit_Device___double_as_longlong_Positive") {
long long int (*ref)(double) = type2_as_type1_ref<long long int, double>;
CastDoublePrecisionTest(__double_as_longlong_kernel, ref,
EqValidatorBuilderFactory<long long int>());
}
/**
* Test Description
* ------------------------
* - RTCs kernels that pass argument of invalid type for __double_as_longlong.
*
* Test source
* ------------------------
* - unit/math/casting_double_funcs.cc
* Test requirements
* ------------------------
* - HIP_VERSION >= 5.2
*/
TEST_CASE("Unit_Device___double_as_longlong_Negative_RTC") {
NegativeTestRTCWrapper<3>(kDoubleAsLonglong);
}
projects/hip-tests/catch/unit/math/casting_double_negative_kernels.cc
+55
ファイルの表示
@@ -0,0 +1,55 @@
/*
Copyright (c) 2021 Advanced Micro Devices, Inc. All rights reserved.
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.
*/
#include <hip_test_common.hh>
class Dummy {
public:
__device__ Dummy() {}
__device__ ~Dummy() {}
};
#define NEGATIVE_KERNELS_SHELL(func_name, T) \
__global__ void func_name##_kernel_v1(T* result, double* x) { *result = func_name(x); } \
__global__ void func_name##_kernel_v2(T* result, Dummy x) { *result = func_name(x); } \
__global__ void func_name##_kernel_v3(Dummy* result, double x) { *result = func_name(x); }
NEGATIVE_KERNELS_SHELL(__double2int_rd, int)
NEGATIVE_KERNELS_SHELL(__double2int_rn, int)
NEGATIVE_KERNELS_SHELL(__double2int_ru, int)
NEGATIVE_KERNELS_SHELL(__double2int_rz, int)
NEGATIVE_KERNELS_SHELL(__double2uint_rd, unsigned int)
NEGATIVE_KERNELS_SHELL(__double2uint_rn, unsigned int)
NEGATIVE_KERNELS_SHELL(__double2uint_ru, unsigned int)
NEGATIVE_KERNELS_SHELL(__double2uint_rz, unsigned int)
NEGATIVE_KERNELS_SHELL(__double2ll_rd, long long int)
NEGATIVE_KERNELS_SHELL(__double2ll_rn, long long int)
NEGATIVE_KERNELS_SHELL(__double2ll_ru, long long int)
NEGATIVE_KERNELS_SHELL(__double2ll_rz, long long int)
NEGATIVE_KERNELS_SHELL(__double2ull_rd, unsigned long long int)
NEGATIVE_KERNELS_SHELL(__double2ull_rn, unsigned long long int)
NEGATIVE_KERNELS_SHELL(__double2ull_ru, unsigned long long int)
NEGATIVE_KERNELS_SHELL(__double2ull_rz, unsigned long long int)
NEGATIVE_KERNELS_SHELL(__double2float_rd, float)
NEGATIVE_KERNELS_SHELL(__double2float_rn, float)
NEGATIVE_KERNELS_SHELL(__double2float_ru, float)
NEGATIVE_KERNELS_SHELL(__double2float_rz, float)
NEGATIVE_KERNELS_SHELL(__double2hiint, int)
NEGATIVE_KERNELS_SHELL(__double2loint, int)
NEGATIVE_KERNELS_SHELL(__double_as_longlong, long long int)
projects/hip-tests/catch/unit/math/casting_double_negative_kernels_rtc.hh
+157
ファイルの表示
@@ -0,0 +1,157 @@
/*
Copyright (c) 2021 Advanced Micro Devices, Inc. All rights reserved.
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.
*/
#pragma once
/*
Negative kernels used for the double type casting negative Test Cases that are using RTC.
*/
static constexpr auto kDouble2Int{R"(
class Dummy {
public:
__device__ Dummy() {}
__device__ ~Dummy() {}
};
__global__ void double2int_rd_kernel_v1(int* result, double* x) { *result = __double2int_rd(x); }
__global__ void double2int_rd_kernel_v2(int* result, Dummy x) { *result = __double2int_rd(x); }
__global__ void double2int_rd_kernel_v3(Dummy* result, double x) { *result = __double2int_rd(x); }
__global__ void double2int_rn_kernel_v1(int* result, double* x) { *result = __double2int_rn(x); }
__global__ void double2int_rn_kernel_v2(int* result, Dummy x) { *result = __double2int_rn(x); }
__global__ void double2int_rn_kernel_v3(Dummy* result, double x) { *result = __double2int_rn(x); }
__global__ void double2int_ru_kernel_v1(int* result, double* x) { *result = __double2int_ru(x); }
__global__ void double2int_ru_kernel_v2(int* result, Dummy x) { *result = __double2int_ru(x); }
__global__ void double2int_ru_kernel_v3(Dummy* result, double x) { *result = __double2int_ru(x); }
__global__ void double2int_rz_kernel_v1(int* result, double* x) { *result = __double2int_rz(x); }
__global__ void double2int_rz_kernel_v2(int* result, Dummy x) { *result = __double2int_rz(x); }
__global__ void double2int_rz_kernel_v3(Dummy* result, double x) { *result = __double2int_rz(x); }
)"};
static constexpr auto kDouble2Uint{R"(
class Dummy {
public:
__device__ Dummy() {}
__device__ ~Dummy() {}
};
__global__ void double2uint_rd_kernel_v1(unsigned int* result, double* x) { *result = __double2uint_rd(x); }
__global__ void double2uint_rd_kernel_v2(unsigned int* result, Dummy x) { *result = __double2uint_rd(x); }
__global__ void double2uint_rd_kernel_v3(Dummy* result, double x) { *result = __double2uint_rd(x); }
__global__ void double2uint_rn_kernel_v1(unsigned int* result, double* x) { *result = __double2uint_rn(x); }
__global__ void double2uint_rn_kernel_v2(unsigned int* result, Dummy x) { *result = __double2uint_rn(x); }
__global__ void double2uint_rn_kernel_v3(Dummy* result, double x) { *result = __double2uint_rn(x); }
__global__ void double2uint_ru_kernel_v1(unsigned int* result, double* x) { *result = __double2uint_ru(x); }
__global__ void double2uint_ru_kernel_v2(unsigned int* result, Dummy x) { *result = __double2uint_ru(x); }
__global__ void double2uint_ru_kernel_v3(Dummy* result, double x) { *result = __double2uint_ru(x); }
__global__ void double2uint_rz_kernel_v1(unsigned int* result, double* x) { *result = __double2uint_rz(x); }
__global__ void double2uint_rz_kernel_v2(unsigned int* result, Dummy x) { *result = __double2uint_rz(x); }
__global__ void double2uint_rz_kernel_v3(Dummy* result, double x) { *result = __double2uint_rz(x); }
)"};
static constexpr auto kDouble2LL{R"(
class Dummy {
public:
__device__ Dummy() {}
__device__ ~Dummy() {}
};
__global__ void double2ll_rd_kernel_v1(long long int* result, double* x) { *result = __double2ll_rd(x); }
__global__ void double2ll_rd_kernel_v2(long long int* result, Dummy x) { *result = __double2ll_rd(x); }
__global__ void double2ll_rd_kernel_v3(Dummy* result, double x) { *result = __double2ll_rd(x); }
__global__ void double2ll_rn_kernel_v1(long long int* result, double* x) { *result = __double2ll_rn(x); }
__global__ void double2ll_rn_kernel_v2(long long int* result, Dummy x) { *result = __double2ll_rn(x); }
__global__ void double2ll_rn_kernel_v3(Dummy* result, double x) { *result = __double2ll_rn(x); }
__global__ void double2ll_ru_kernel_v1(long long int* result, double* x) { *result = __double2ll_ru(x); }
__global__ void double2ll_ru_kernel_v2(long long int* result, Dummy x) { *result = __double2ll_ru(x); }
__global__ void double2ll_ru_kernel_v3(Dummy* result, double x) { *result = __double2ll_ru(x); }
__global__ void double2ll_rz_kernel_v1(long long int* result, double* x) { *result = __double2ll_rz(x); }
__global__ void double2ll_rz_kernel_v2(long long int* result, Dummy x) { *result = __double2ll_rz(x); }
__global__ void double2ll_rz_kernel_v3(Dummy* result, double x) { *result = __double2ll_rz(x); }
)"};
static constexpr auto kDouble2ULL{R"(
class Dummy {
public:
__device__ Dummy() {}
__device__ ~Dummy() {}
};
__global__ void double2ull_rd_kernel_v1(unsigned long long int* result, double* x) { *result = __double2ull_rd(x); }
__global__ void double2ull_rd_kernel_v2(unsigned long long int* result, Dummy x) { *result = __double2ull_rd(x); }
__global__ void double2ull_rd_kernel_v3(Dummy* result, double x) { *result = __double2ull_rd(x); }
__global__ void double2ull_rn_kernel_v1(unsigned long long int* result, double* x) { *result = __double2ull_rn(x); }
__global__ void double2ull_rn_kernel_v2(unsigned long long int* result, Dummy x) { *result = __double2ull_rn(x); }
__global__ void double2ull_rn_kernel_v3(Dummy* result, double x) { *result = __double2ull_rn(x); }
__global__ void double2ull_ru_kernel_v1(unsigned long long int* result, double* x) { *result = __double2ull_ru(x); }
__global__ void double2ull_ru_kernel_v2(unsigned long long int* result, Dummy x) { *result = __double2ull_ru(x); }
__global__ void double2ull_ru_kernel_v3(Dummy* result, double x) { *result = __double2ull_ru(x); }
__global__ void double2ull_rz_kernel_v1(unsigned long long int* result, double* x) { *result = __double2ull_rz(x); }
__global__ void double2ull_rz_kernel_v2(unsigned long long int* result, Dummy x) { *result = __double2ull_rz(x); }
__global__ void double2ull_rz_kernel_v3(Dummy* result, double x) { *result = __double2ull_rz(x); }
)"};
static constexpr auto kDouble2Float{R"(
class Dummy {
public:
__device__ Dummy() {}
__device__ ~Dummy() {}
};
__global__ void double2float_rd_kernel_v1(float* result, double* x) { *result = __double2float_rd(x); }
__global__ void double2float_rd_kernel_v2(float* result, Dummy x) { *result = __double2float_rd(x); }
__global__ void double2float_rd_kernel_v3(Dummy* result, double x) { *result = __double2float_rd(x); }
__global__ void double2float_rn_kernel_v1(float* result, double* x) { *result = __double2float_rn(x); }
__global__ void double2float_rn_kernel_v2(float* result, Dummy x) { *result = __double2float_rn(x); }
__global__ void double2float_rn_kernel_v3(Dummy* result, double x) { *result = __double2float_rn(x); }
__global__ void double2float_ru_kernel_v1(float* result, double* x) { *result = __double2float_ru(x); }
__global__ void double2float_ru_kernel_v2(float* result, Dummy x) { *result = __double2float_ru(x); }
__global__ void double2float_ru_kernel_v3(Dummy* result, double x) { *result = __double2float_ru(x); }
__global__ void double2float_rz_kernel_v1(float* result, double* x) { *result = __double2float_rz(x); }
__global__ void double2float_rz_kernel_v2(float* result, Dummy x) { *result = __double2float_rz(x); }
__global__ void double2float_rz_kernel_v3(Dummy* result, double x) { *result = __double2float_rz(x); }
)"};
static constexpr auto kDouble2Hiint{R"(
class Dummy {
public:
__device__ Dummy() {}
__device__ ~Dummy() {}
};
__global__ void double2hiint_kernel_v1(int* result, double* x) { *result = __double2hiint(x); }
__global__ void double2hiint_kernel_v2(int* result, Dummy x) { *result = __double2hiint(x); }
__global__ void double2hiint_kernel_v3(Dummy* result, double x) { *result = __double2hiint(x); }
)"};
static constexpr auto kDouble2Loint{R"(
class Dummy {
public:
__device__ Dummy() {}
__device__ ~Dummy() {}
};
__global__ void double2loint_kernel_v1(int* result, double* x) { *result = __double2loint(x); }
__global__ void double2loint_kernel_v2(int* result, Dummy x) { *result = __double2loint(x); }
__global__ void double2loint_kernel_v3(Dummy* result, double x) { *result = __double2loint(x); }
)"};
static constexpr auto kDoubleAsLonglong{R"(
class Dummy {
public:
__device__ Dummy() {}
__device__ ~Dummy() {}
};
__global__ void double_as_longlong_kernel_v1(long long int* result, double* x) { *result = __double_as_longlong(x); }
__global__ void double_as_longlong_kernel_v2(long long int* result, Dummy x) { *result = __double_as_longlong(x); }
__global__ void double_as_longlong_kernel_v3(Dummy* result, double x) { *result = __double_as_longlong(x); }
)"};