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Flatten subprojects into a single base monorepo
2026-09-02 16:34:47 -07:00

176 lines
6.3 KiB
C++

// MIT License
//
// Copyright (c) 2024-2025 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 "common_test_header.hpp"
// hipcub API
#include <hipcub/util_type.hpp>
template<class Value>
struct params
{
using value_type = Value;
};
template<class Params>
class HipcubVector : public ::testing::Test
{
public:
using params = Params;
};
using Params = ::testing::Types<params<char>,
params<unsigned char>,
params<short>,
params<unsigned short>,
params<int>,
params<uint>,
params<long>,
params<unsigned long>,
params<long long>,
params<unsigned long long>,
params<float>,
params<double>
#ifdef __HIP_PLATFORM_AMD__
,
params<bool> // Doesn't work on NVIDIA / CUB
#endif
>;
TYPED_TEST_SUITE(HipcubVector, Params);
template<class T, unsigned int VecSize, unsigned int BlockSize>
__global__
void vector_test_kernel(T* device_input, T* device_output)
{
unsigned int index = hipThreadIdx_x + (hipBlockIdx_x * BlockSize);
// Note about why subtraction is used here:
// To maintain CUB compatibility, the CubVector type for bools uses
// unsigned char as the backing storage type.
// As a result, when device_input is a CubVector of bools, the math below really operates on unsigned char,
// and there is no cast back to bool on write-back to the device_output.
// The cast back to bool is only done later on the host, and must use a reinterpret_cast to a bool pointer,
// followed by a dereference. In this scenario, the compiler does not convert non-zero values to 1 (as it would
// with a static_cast to bool operating on a value).
// That means we can end up comparing two values that are both true but have different (non-zero) binary values.
// Using subtraction below results in zero, which will always cast to the same binary false value (0).
device_output[index] = device_input[index] - device_input[index];
}
template<class T, unsigned int vec_size>
void run_vector_test()
{
int device_id = test_common_utils::obtain_device_from_ctest();
SCOPED_TRACE(testing::Message() << "with device_id= " << device_id);
HIP_CHECK(hipSetDevice(device_id));
using Vector = hipcub::CubVector<T, vec_size>;
constexpr unsigned int size = 128;
constexpr unsigned int block_size = 16;
Vector* device_input;
HIP_CHECK(test_common_utils::hipMallocHelper(&device_input, size * sizeof(Vector)));
T input_num = static_cast<T>(10);
Vector input_vec;
for(unsigned int i = 0; i < vec_size; i++)
{
*(reinterpret_cast<T*>(&input_vec) + i) = input_num;
}
std::vector<Vector> input(size, input_vec);
HIP_CHECK(hipMemcpy(device_input,
input.data(),
input.size() * sizeof(Vector),
hipMemcpyHostToDevice));
Vector* device_output;
HIP_CHECK(test_common_utils::hipMallocHelper(&device_output, size * sizeof(Vector)));
vector_test_kernel<Vector, vec_size, block_size>
<<<size / block_size, block_size>>>(device_input, device_output);
HIP_CHECK(hipGetLastError());
std::vector<Vector> output(size);
HIP_CHECK(hipMemcpy(output.data(),
device_output,
output.size() * sizeof(Vector),
hipMemcpyDeviceToHost));
const T expected_num = static_cast<T>(input_num - input_num);
for(unsigned int i = 0; i < size; i++)
{
const Vector output_vec = output[i];
for(unsigned int j = 0; j < vec_size; j++)
{
ASSERT_NO_FATAL_FAILURE(
test_utils::assert_eq(*(reinterpret_cast<const T*>(&output_vec) + j),
expected_num));
}
}
HIP_CHECK(hipFree(device_input));
HIP_CHECK(hipFree(device_output));
}
TYPED_TEST(HipcubVector, Vector1)
{
run_vector_test<typename TestFixture::params::value_type, 1>();
}
TYPED_TEST(HipcubVector, Vector2)
{
run_vector_test<typename TestFixture::params::value_type, 2>();
}
TYPED_TEST(HipcubVector, Vector3)
{
run_vector_test<typename TestFixture::params::value_type, 3>();
}
TYPED_TEST(HipcubVector, Vector4)
{
run_vector_test<typename TestFixture::params::value_type, 4>();
}
TEST(HipcubVectorCustomType, VectorCustomType)
{
// Custom types do not support operators
int device_id = test_common_utils::obtain_device_from_ctest();
SCOPED_TRACE(testing::Message() << "with device_id= " << device_id);
HIP_CHECK(hipSetDevice(device_id));
using T = test_utils::custom_test_type<int>;
using Vector = hipcub::CubVector<T, 2>;
Vector vector1;
vector1.x = 10;
vector1.y = 8;
Vector vector2;
vector2.x = 8;
vector2.y = 10;
ASSERT_NO_FATAL_FAILURE(test_utils::assert_eq(vector1.x, vector2.y));
ASSERT_NO_FATAL_FAILURE(test_utils::assert_eq(vector1.y, vector2.x));
}