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

260 lines
9.6 KiB
C++

/*! \file */
/* ************************************************************************
* Copyright (C) 2021-2025 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 "rocsparse_enum.hpp"
#include "testing.hpp"
template <typename T>
void testing_gtsv_interleaved_batch_bad_arg(const Arguments& arg)
{
static const size_t safe_size = 100;
// Create rocsparse handle
rocsparse_local_handle local_handle;
rocsparse_handle handle = local_handle;
rocsparse_gtsv_interleaved_alg alg = rocsparse_gtsv_interleaved_alg_default;
rocsparse_int m = safe_size;
rocsparse_int batch_count = safe_size;
rocsparse_int batch_stride = safe_size;
T* dl = (T*)0x4;
T* d = (T*)0x4;
T* du = (T*)0x4;
T* x = (T*)0x4;
size_t* buffer_size = (size_t*)0x4;
void* temp_buffer = (void*)0x4;
#define PARAMS_BUFFER_SIZE handle, alg, m, dl, d, du, x, batch_count, batch_stride, buffer_size
#define PARAMS_SOLVE handle, alg, m, dl, d, du, x, batch_count, batch_stride, temp_buffer
bad_arg_analysis(rocsparse_gtsv_interleaved_batch_buffer_size<T>, PARAMS_BUFFER_SIZE);
bad_arg_analysis(rocsparse_gtsv_interleaved_batch<T>, PARAMS_SOLVE);
// m <= 1
m = 1;
EXPECT_ROCSPARSE_STATUS(rocsparse_gtsv_interleaved_batch_buffer_size<T>(PARAMS_BUFFER_SIZE),
rocsparse_status_invalid_size);
EXPECT_ROCSPARSE_STATUS(rocsparse_gtsv_interleaved_batch<T>(PARAMS_SOLVE),
rocsparse_status_invalid_size);
m = safe_size;
// batch_stride < batch_count
batch_count = 4;
batch_stride = 2;
EXPECT_ROCSPARSE_STATUS(rocsparse_gtsv_interleaved_batch_buffer_size<T>(PARAMS_BUFFER_SIZE),
rocsparse_status_invalid_size);
EXPECT_ROCSPARSE_STATUS(rocsparse_gtsv_interleaved_batch<T>(PARAMS_SOLVE),
rocsparse_status_invalid_size);
#undef PARAMS_BUFFER_SIZE
#undef PARAMS_SOLVE
}
template <typename T>
void testing_gtsv_interleaved_batch(const Arguments& arg)
{
rocsparse_int m = arg.M;
rocsparse_int batch_count = arg.batch_count;
rocsparse_int batch_stride = arg.batch_stride;
rocsparse_gtsv_interleaved_alg alg = arg.gtsv_interleaved_alg;
// Create rocsparse handle
rocsparse_local_handle handle(arg);
#define PARAMS_BUFFER_SIZE handle, alg, m, ddl, dd, ddu, dx, batch_count, batch_stride, &buffer_size
#define PARAMS_SOLVE handle, alg, m, ddl, dd, ddu, dx, batch_count, batch_stride, dbuffer
if(batch_stride < batch_count)
{
return;
}
rocsparse_seedrand();
// Host tri-diagonal matrix
host_vector<T> hdl(m * batch_stride);
host_vector<T> hd(m * batch_stride);
host_vector<T> hdu(m * batch_stride);
// initialize tri-diagonal matrix
for(rocsparse_int i = 0; i < m; ++i)
{
for(rocsparse_int j = 0; j < batch_stride; ++j)
{
hdl[i * batch_stride + j] = random_cached_generator<T>(1, 8);
hd[i * batch_stride + j] = random_cached_generator<T>(17, 32);
hdu[i * batch_stride + j] = random_cached_generator<T>(1, 8);
}
if(i == 0)
{
for(rocsparse_int j = 0; j < batch_stride; ++j)
{
hdl[i * batch_stride + j] = static_cast<T>(0);
}
}
if(i == m - 1)
{
for(rocsparse_int j = 0; j < batch_stride; ++j)
{
hdu[i * batch_stride + j] = static_cast<T>(0);
}
}
}
// Host dense rhs
host_vector<T> hx(m * batch_stride);
for(rocsparse_int i = 0; i < m; i++)
{
for(rocsparse_int j = 0; j < batch_stride; j++)
{
hx[i * batch_stride + j] = random_cached_generator<T>(-10, 10);
}
}
host_vector<T> hx_original = hx;
// Device tri-diagonal matrix
device_vector<T> ddl(hdl);
device_vector<T> dd(hd);
device_vector<T> ddu(hdu);
// Device dense rhs
device_vector<T> dx(hx);
// Obtain required buffer size
size_t buffer_size;
CHECK_ROCSPARSE_ERROR(rocsparse_gtsv_interleaved_batch_buffer_size<T>(PARAMS_BUFFER_SIZE));
void* dbuffer;
CHECK_HIP_ERROR(rocsparse_hipMalloc(&dbuffer, buffer_size));
if(arg.unit_check)
{
CHECK_ROCSPARSE_ERROR(testing::rocsparse_gtsv_interleaved_batch<T>(PARAMS_SOLVE));
host_vector<T> hx_copy(hx);
hx.transfer_from(dx);
host_gtsv_interleaved_batch(
alg, m, hdl.data(), hd.data(), hdu.data(), hx_copy.data(), batch_count, batch_stride);
// Verify GPU solution
host_vector<T> hresult = hx_original;
#ifdef _OPENMP
#pragma omp parallel for schedule(dynamic, 1024)
#endif
for(rocsparse_int j = 0; j < batch_count; j++)
{
hresult[j] = hd[j] * hx[j] + hdu[j] * hx[batch_stride + j];
hresult[batch_stride * (m - 1) + j]
= hdl[batch_stride * (m - 1) + j] * hx[batch_stride * (m - 2) + j]
+ hd[batch_stride * (m - 1) + j] * hx[batch_stride * (m - 1) + j];
}
for(rocsparse_int i = 1; i < m - 1; i++)
{
#ifdef _OPENMP
#pragma omp parallel for schedule(dynamic, 1024)
#endif
for(rocsparse_int j = 0; j < batch_count; j++)
{
hresult[batch_stride * i + j]
= hdl[batch_stride * i + j] * hx[batch_stride * (i - 1) + j]
+ hd[batch_stride * i + j] * hx[batch_stride * i + j]
+ hdu[batch_stride * i + j] * hx[batch_stride * (i + 1) + j];
}
}
near_check_segments<T>(m * batch_stride, hresult.data(), hx_original.data());
// verify CPU solution
hresult = hx_original;
#ifdef _OPENMP
#pragma omp parallel for schedule(dynamic, 1024)
#endif
for(rocsparse_int j = 0; j < batch_count; j++)
{
hresult[j] = hd[j] * hx_copy[j] + hdu[j] * hx_copy[batch_stride + j];
hresult[batch_stride * (m - 1) + j]
= hdl[batch_stride * (m - 1) + j] * hx_copy[batch_stride * (m - 2) + j]
+ hd[batch_stride * (m - 1) + j] * hx_copy[batch_stride * (m - 1) + j];
}
for(rocsparse_int i = 1; i < m - 1; i++)
{
#ifdef _OPENMP
#pragma omp parallel for schedule(dynamic, 1024)
#endif
for(rocsparse_int j = 0; j < batch_count; j++)
{
hresult[batch_stride * i + j]
= hdl[batch_stride * i + j] * hx_copy[batch_stride * (i - 1) + j]
+ hd[batch_stride * i + j] * hx_copy[batch_stride * i + j]
+ hdu[batch_stride * i + j] * hx_copy[batch_stride * (i + 1) + j];
}
}
near_check_segments<T>(m * batch_stride, hresult.data(), hx_original.data());
near_check_segments<T>(m * batch_stride, hx_copy.data(), hx.data());
}
if(arg.timing)
{
const double gpu_solve_time_used = rocsparse_clients::run_benchmark(
arg, rocsparse_gtsv_interleaved_batch<T>, PARAMS_SOLVE);
double gbyte_count = gtsv_interleaved_batch_gbyte_count<T>(m, batch_count);
double gpu_gbyte = get_gpu_gbyte(gpu_solve_time_used, gbyte_count);
display_timing_info(display_key_t::M,
m,
display_key_t::batch_count,
batch_count,
display_key_t::batch_stride,
batch_stride,
display_key_t::bandwidth,
gpu_gbyte,
display_key_t::time_ms,
get_gpu_time_msec(gpu_solve_time_used));
}
// Free buffer
CHECK_HIP_ERROR(rocsparse_hipFree(dbuffer));
#undef PARAMS_BUFFER_SIZE
#undef PARAMS_SOLVE
}
#define INSTANTIATE(TYPE) \
template void testing_gtsv_interleaved_batch_bad_arg<TYPE>(const Arguments& arg); \
template void testing_gtsv_interleaved_batch<TYPE>(const Arguments& arg)
INSTANTIATE(float);
INSTANTIATE(double);
INSTANTIATE(rocsparse_float_complex);
INSTANTIATE(rocsparse_double_complex);
void testing_gtsv_interleaved_batch_extra(const Arguments& arg) {}