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

293 lines
11 KiB
C++

// MIT License
//
// Copyright (c) 2017-2025 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 "experimental/sparse_matrix.hpp"
#include <hipcub/device/device_spmv.hpp>
#include <hipcub/util_allocator.hpp>
#include "common_test_header.hpp"
#include "test_utils_assertions.hpp"
hipcub::CachingDeviceAllocator g_allocator;
static constexpr float alpha_const = 1.0f;
static constexpr float beta_const = 0.0f;
// Params for tests
template<class Type,
int32_t Grid2D = -1,
int32_t Grid3D = -1,
int32_t Wheel = -1,
int32_t Dense = -1,
bool UseGraphs = false>
struct DeviceSpmvParams
{
using value_type = Type;
static constexpr int32_t grid_2d = Grid2D;
static constexpr int32_t grid_3d = Grid3D;
static constexpr int32_t wheel = Wheel;
static constexpr int32_t dense = Dense;
static constexpr bool use_graphs = UseGraphs;
};
// ---------------------------------------------------------
// Test for scan ops taking single input value
// ---------------------------------------------------------
template<class Params>
class HipcubDeviceSpmvTests : public ::testing::Test
{
public:
using value_type = typename Params::value_type;
static constexpr int32_t grid_2d = Params::grid_2d;
static constexpr int32_t grid_3d = Params::grid_3d;
static constexpr int32_t wheel = Params::wheel;
static constexpr int32_t dense = Params::dense;
static constexpr bool use_graphs = Params::use_graphs;
};
using HipcubDeviceSpmvTestsParams = ::testing::Types<DeviceSpmvParams<float, 4, 0, 0, 0>,
DeviceSpmvParams<float, 4, 0, 0, 0, true>>;
template<typename T, typename OffsetType>
static void generate_matrix(CooMatrix<T, OffsetType>& coo_matrix,
int32_t grid2d,
int32_t grid3d,
int32_t wheel,
int32_t dense)
{
if(grid2d > 0)
{
// Generate 2D lattice
coo_matrix.InitGrid2d(grid2d, false);
}
else if(grid3d > 0)
{
// Generate 3D lattice
coo_matrix.InitGrid3d(grid3d, false);
}
else if(wheel > 0)
{
// Generate wheel graph
coo_matrix.InitWheel(wheel);
}
else if(dense > 0)
{
#if 0
// Generate dense graph
OffsetType size = 1 << 24; // 16M nnz
args.GetCmdLineArgument("size", size);
OffsetType rows = size / dense;
printf("dense_%d_x_%d, ", rows, dense); fflush(stdout);
coo_matrix.InitDense(rows, dense);
#endif
}
}
template<typename T, typename OffsetType>
void SpmvGold(CsrMatrix<T, OffsetType>& a,
const T* vector_x,
const T* vector_y_in,
T* vector_y_out,
T alpha,
T beta)
{
for(OffsetType row = 0; row < a.num_rows; ++row)
{
T partial = beta * vector_y_in[row];
for(OffsetType offset = a.row_offsets[row]; offset < a.row_offsets[row + 1]; ++offset)
{
partial += alpha * a.values[offset] * vector_x[a.column_indices[offset]];
}
vector_y_out[row] = partial;
}
}
TYPED_TEST_SUITE(HipcubDeviceSpmvTests, HipcubDeviceSpmvTestsParams);
TYPED_TEST(HipcubDeviceSpmvTests, Spmv)
{
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 = typename TestFixture::value_type;
using OffsetType = int32_t;
constexpr int32_t grid_2d = TestFixture::grid_2d;
constexpr int32_t grid_3d = TestFixture::grid_3d;
constexpr int32_t wheel = TestFixture::wheel;
constexpr int32_t dense = TestFixture::dense;
hipStream_t stream = 0; // default
if(TestFixture::use_graphs)
{
// Default stream does not support hipGraph stream capture, so create one
HIP_CHECK(hipStreamCreateWithFlags(&stream, hipStreamNonBlocking));
}
CooMatrix<T, OffsetType> coo_matrix;
generate_matrix(coo_matrix, grid_2d, grid_3d, wheel, dense);
// Convert to CSR
CsrMatrix<T, OffsetType> csr_matrix;
csr_matrix.FromCoo(coo_matrix);
// Allocate input and output vectors
T* vector_x = new T[csr_matrix.num_cols];
T* vector_y_in = new T[csr_matrix.num_rows];
T* vector_y_out = new T[csr_matrix.num_rows];
for(int col = 0; col < csr_matrix.num_cols; ++col)
vector_x[col] = 1.0;
for(int row = 0; row < csr_matrix.num_rows; ++row)
vector_y_in[row] = 1.0;
// Compute reference answer
SpmvGold(csr_matrix, vector_x, vector_y_in, vector_y_out, alpha_const, beta_const);
HIPCUB_CLANG_SUPPRESS_DEPRECATED_PUSH
// Allocate and initialize GPU problem
hipcub::DeviceSpmv::SpmvParams<T, OffsetType> params{};
HIPCUB_CLANG_SUPPRESS_DEPRECATED_POP
HIP_CHECK(
g_allocator.DeviceAllocate((void**)&params.d_values, sizeof(T) * csr_matrix.num_nonzeros));
HIP_CHECK(g_allocator.DeviceAllocate((void**)&params.d_row_end_offsets,
sizeof(OffsetType) * (csr_matrix.num_rows + 1)));
HIP_CHECK(g_allocator.DeviceAllocate((void**)&params.d_column_indices,
sizeof(OffsetType) * csr_matrix.num_nonzeros));
HIP_CHECK(
g_allocator.DeviceAllocate((void**)&params.d_vector_x, sizeof(T) * csr_matrix.num_cols));
HIP_CHECK(
g_allocator.DeviceAllocate((void**)&params.d_vector_y, sizeof(T) * csr_matrix.num_rows));
params.num_rows = csr_matrix.num_rows;
params.num_cols = csr_matrix.num_cols;
params.num_nonzeros = csr_matrix.num_nonzeros;
params.alpha = alpha_const;
params.beta = beta_const;
HIP_CHECK(hipMemcpy(params.d_values,
csr_matrix.values,
sizeof(T) * csr_matrix.num_nonzeros,
hipMemcpyHostToDevice));
HIP_CHECK(hipMemcpy(params.d_row_end_offsets,
csr_matrix.row_offsets,
sizeof(OffsetType) * (csr_matrix.num_rows + 1),
hipMemcpyHostToDevice));
HIP_CHECK(hipMemcpy(params.d_column_indices,
csr_matrix.column_indices,
sizeof(OffsetType) * csr_matrix.num_nonzeros,
hipMemcpyHostToDevice));
HIP_CHECK(hipMemcpy(params.d_vector_x,
vector_x,
sizeof(T) * csr_matrix.num_cols,
hipMemcpyHostToDevice));
HIP_CHECK(hipMemcpy(params.d_vector_y,
vector_y_in,
sizeof(T) * csr_matrix.num_rows,
hipMemcpyHostToDevice));
// Allocate temporary storage
size_t temp_storage_bytes = 0;
void* d_temp_storage = nullptr;
// Get amount of temporary storage needed
HIPCUB_CLANG_SUPPRESS_DEPRECATED_PUSH
HIP_CHECK(hipcub::DeviceSpmv::CsrMV(d_temp_storage,
temp_storage_bytes,
params.d_values,
params.d_row_end_offsets,
params.d_column_indices,
params.d_vector_x,
params.d_vector_y,
params.num_rows,
params.num_cols,
params.num_nonzeros,
stream));
HIPCUB_CLANG_SUPPRESS_DEPRECATED_POP
// Allocate
//HIP_CHECK(hipMalloc(&d_temp_storage, temp_storage_bytes);
HIP_CHECK(g_allocator.DeviceAllocate(&d_temp_storage, temp_storage_bytes));
HIP_CHECK(hipDeviceSynchronize());
test_utils::GraphHelper gHelper;
if(TestFixture::use_graphs)
gHelper.startStreamCapture(stream);
HIPCUB_CLANG_SUPPRESS_DEPRECATED_PUSH
HIP_CHECK(hipcub::DeviceSpmv::CsrMV(d_temp_storage,
temp_storage_bytes,
params.d_values,
params.d_row_end_offsets,
params.d_column_indices,
params.d_vector_x,
params.d_vector_y,
params.num_rows,
params.num_cols,
params.num_nonzeros,
stream));
HIPCUB_CLANG_SUPPRESS_DEPRECATED_POP
if(TestFixture::use_graphs)
gHelper.createAndLaunchGraph(stream);
HIP_CHECK(hipMemcpy(vector_y_in,
params.d_vector_y,
sizeof(T) * params.num_rows,
hipMemcpyDeviceToHost));
HIP_CHECK(hipPeekAtLastError());
HIP_CHECK(hipDeviceSynchronize());
const auto max_row_len = csr_matrix.num_cols * csr_matrix.num_rows;
const float diff = max_row_len * test_utils::precision<T>::value;
for(int32_t i = 0; i < csr_matrix.num_rows; i++)
{
ASSERT_NO_FATAL_FAILURE(test_utils::assert_near(vector_y_in[i], vector_y_out[i], diff))
<< "where index = " << i;
}
if(TestFixture::use_graphs)
{
gHelper.cleanupGraphHelper();
HIP_CHECK(hipStreamDestroy(stream));
}
// De-allocate input and output vectors
delete[] vector_x;
delete[] vector_y_in;
delete[] vector_y_out;
HIP_CHECK(g_allocator.DeviceFree(params.d_values));
HIP_CHECK(g_allocator.DeviceFree(params.d_row_end_offsets));
HIP_CHECK(g_allocator.DeviceFree(params.d_column_indices));
HIP_CHECK(g_allocator.DeviceFree(params.d_vector_x));
HIP_CHECK(g_allocator.DeviceFree(params.d_vector_y));
HIP_CHECK(g_allocator.DeviceFree(d_temp_storage));
}