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/* ************************************************************************
* Copyright (C) 2020-2022 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
#ifndef TESTING_SPMV_HPP
#define TESTING_SPMV_HPP
#include "auto_testing_bad_arg.hpp"
template <rocsparse_format FORMAT, typename I, typename J, typename T>
struct testing_matrix_type_traits;
//
// TRAITS FOR CSR FORMAT.
//
template <typename I, typename J, typename T>
struct testing_matrix_type_traits<rocsparse_format_csr, I, J, T>
{
template <typename U>
using host_sparse_matrix = host_csr_matrix<U, I, J>;
template <typename U>
using device_sparse_matrix = device_csr_matrix<U, I, J>;
};
//
// TRAITS FOR CSC FORMAT.
//
template <typename I, typename J, typename T>
struct testing_matrix_type_traits<rocsparse_format_csc, I, J, T>
{
template <typename U>
using host_sparse_matrix = host_csc_matrix<U, I, J>;
template <typename U>
using device_sparse_matrix = device_csc_matrix<U, I, J>;
};
//
// TRAITS FOR BSR FORMAT.
//
template <typename I, typename J, typename T>
struct testing_matrix_type_traits<rocsparse_format_bsr, I, J, T>
{
template <typename U>
using host_sparse_matrix = host_gebsr_matrix<U, I, J>;
template <typename U>
using device_sparse_matrix = device_gebsr_matrix<U, I, J>;
};
//
// TRAITS FOR COO FORMAT.
//
template <typename I, typename T>
struct testing_matrix_type_traits<rocsparse_format_coo, I, I, T>
{
template <typename U>
using host_sparse_matrix = host_coo_matrix<U, I>;
template <typename U>
using device_sparse_matrix = device_coo_matrix<U, I>;
};
//
// TRAITS FOR COO AOS FORMAT.
//
template <typename I, typename T>
struct testing_matrix_type_traits<rocsparse_format_coo_aos, I, I, T>
{
template <typename U>
using host_sparse_matrix = host_coo_aos_matrix<U, I>;
template <typename U>
using device_sparse_matrix = device_coo_aos_matrix<U, I>;
};
//
// TRAITS FOR ELL FORMAT.
//
template <typename I, typename T>
struct testing_matrix_type_traits<rocsparse_format_ell, I, I, T>
{
template <typename U>
using host_sparse_matrix = host_ell_matrix<U, I>;
template <typename U>
using device_sparse_matrix = device_ell_matrix<U, I>;
};
template <rocsparse_format FORMAT, typename I, typename J, typename T>
struct testing_spmv_dispatch_traits;
//
// TRAITS FOR CSR FORMAT.
//
template <typename I, typename J, typename T>
struct testing_spmv_dispatch_traits<rocsparse_format_csr, I, J, T>
{
using traits = testing_matrix_type_traits<rocsparse_format_csr, I, J, T>;
template <typename U>
using host_sparse_matrix = typename traits::template host_sparse_matrix<U>;
template <typename U>
using device_sparse_matrix = typename traits::template device_sparse_matrix<U>;
static void sparse_initialization(rocsparse_matrix_factory<T, I, J>& matrix_factory,
host_sparse_matrix<T>& hA,
J& m,
J& n,
rocsparse_index_base base)
{
matrix_factory.init_csr(hA, m, n, base);
}
template <typename... Ts>
static void display_info(const Arguments& arg,
const char* trans,
const char* trans_value,
device_sparse_matrix<T>& dA,
Ts&&... ts)
{
display_timing_info(trans, trans_value, "M", dA.m, "N", dA.n, "nnz", dA.nnz, ts...);
}
static void host_calculation(rocsparse_operation trans,
T* h_alpha,
host_sparse_matrix<T>& hA,
T* hx,
T* h_beta,
T* hy,
rocsparse_spmv_alg alg,
rocsparse_matrix_type matrix_type = rocsparse_matrix_type_general)
{
host_csrmv<I, J, T>(trans,
hA.m,
hA.n,
hA.nnz,
*h_alpha,
hA.ptr,
hA.ind,
hA.val,
hx,
*h_beta,
hy,
hA.base,
matrix_type,
alg,
false);
}
static double gflop_count(host_sparse_matrix<T>& hA, bool nonzero_beta)
{
return spmv_gflop_count(hA.m, hA.nnz, nonzero_beta);
}
static double byte_count(host_sparse_matrix<T>& hA, bool nonzero_beta)
{
return csrmv_gbyte_count<T>(hA.m, hA.n, hA.nnz, nonzero_beta);
}
};
//
// TRAITS FOR CSC FORMAT.
//
template <typename I, typename J, typename T>
struct testing_spmv_dispatch_traits<rocsparse_format_csc, I, J, T>
{
using traits = testing_matrix_type_traits<rocsparse_format_csc, I, J, T>;
template <typename U>
using host_sparse_matrix = typename traits::template host_sparse_matrix<U>;
template <typename U>
using device_sparse_matrix = typename traits::template device_sparse_matrix<U>;
static void sparse_initialization(rocsparse_matrix_factory<T, I, J>& matrix_factory,
host_sparse_matrix<T>& hA,
J& m,
J& n,
rocsparse_index_base base)
{
matrix_factory.init_csc(hA, m, n, base);
}
template <typename... Ts>
static void display_info(const Arguments& arg,
const char* trans,
const char* trans_value,
device_sparse_matrix<T>& dA,
Ts&&... ts)
{
display_timing_info(trans, trans_value, "M", dA.m, "N", dA.n, "nnz", dA.nnz, ts...);
}
static void host_calculation(rocsparse_operation trans,
T* h_alpha,
host_sparse_matrix<T>& hA,
T* hx,
T* h_beta,
T* hy,
rocsparse_spmv_alg alg,
rocsparse_matrix_type matrix_type = rocsparse_matrix_type_general)
{
host_cscmv<I, J, T>(trans,
hA.m,
hA.n,
hA.nnz,
*h_alpha,
hA.ptr,
hA.ind,
hA.val,
hx,
*h_beta,
hy,
hA.base,
matrix_type,
alg);
}
static double gflop_count(host_sparse_matrix<T>& hA, bool nonzero_beta)
{
return spmv_gflop_count(hA.m, hA.nnz, nonzero_beta);
}
static double byte_count(host_sparse_matrix<T>& hA, bool nonzero_beta)
{
return cscmv_gbyte_count<T>(hA.m, hA.n, hA.nnz, nonzero_beta);
}
};
//
// TRAITS FOR BSR FORMAT.
//
template <typename I, typename J, typename T>
struct testing_spmv_dispatch_traits<rocsparse_format_bsr, I, J, T>
{
using traits = testing_matrix_type_traits<rocsparse_format_bsr, I, J, T>;
template <typename U>
using host_sparse_matrix = typename traits::template host_sparse_matrix<U>;
template <typename U>
using device_sparse_matrix = typename traits::template device_sparse_matrix<U>;
static void sparse_initialization(rocsparse_matrix_factory<T, I, J>& matrix_factory,
host_sparse_matrix<T>& hA,
J& m,
J& n,
rocsparse_index_base base)
{
J block_dim = matrix_factory.m_arg.block_dim;
matrix_factory.init_gebsr(hA, m, n, block_dim, block_dim, base);
m *= block_dim;
n *= block_dim;
}
template <typename... Ts>
static void display_info(const Arguments& arg,
const char* trans,
const char* trans_value,
device_sparse_matrix<T>& dA,
Ts&&... ts)
{
display_timing_info(trans,
trans_value,
"M",
dA.mb * dA.row_block_dim,
"N",
dA.nb * dA.col_block_dim,
"nnz",
dA.nnzb * dA.row_block_dim * dA.col_block_dim,
"bdim",
dA.row_block_dim,
"bdir",
rocsparse_direction2string(dA.block_direction),
ts...);
}
static void host_calculation(rocsparse_operation trans,
T* h_alpha,
host_sparse_matrix<T>& hA,
T* hx,
T* h_beta,
T* hy,
rocsparse_spmv_alg alg,
rocsparse_matrix_type matrix_type = rocsparse_matrix_type_general)
{
host_bsrmv<T, I, J>(hA.block_direction,
trans,
hA.mb,
hA.nb,
hA.nnzb,
*h_alpha,
hA.ptr,
hA.ind,
hA.val,
hA.row_block_dim,
hx,
*h_beta,
hy,
hA.base);
}
static double byte_count(host_sparse_matrix<T>& hA, bool nonzero_beta)
{
return bsrmv_gbyte_count<T>(hA.mb, hA.nb, hA.nnzb, hA.row_block_dim, nonzero_beta);
}
static double gflop_count(host_sparse_matrix<T>& hA, bool nonzero_beta)
{
return spmv_gflop_count(
hA.mb * hA.row_block_dim, hA.nnzb * hA.row_block_dim * hA.col_block_dim, nonzero_beta);
}
};
//
// TRAITS FOR COO FORMAT.
//
template <typename I, typename T>
struct testing_spmv_dispatch_traits<rocsparse_format_coo, I, I, T>
{
using traits = testing_matrix_type_traits<rocsparse_format_coo, I, I, T>;
template <typename U>
using host_sparse_matrix = typename traits::template host_sparse_matrix<U>;
template <typename U>
using device_sparse_matrix = typename traits::template device_sparse_matrix<U>;
static void sparse_initialization(rocsparse_matrix_factory<T, I, I>& matrix_factory,
host_sparse_matrix<T>& hA,
I& m,
I& n,
rocsparse_index_base base)
{
matrix_factory.init_coo(hA, m, n, base);
}
template <typename... Ts>
static void display_info(const Arguments& arg,
const char* trans,
const char* trans_value,
device_sparse_matrix<T>& dA,
Ts&&... ts)
{
display_timing_info(trans, trans_value, "M", dA.m, "N", dA.n, "nnz", dA.nnz, ts...);
}
static void host_calculation(rocsparse_operation trans,
T* h_alpha,
host_sparse_matrix<T>& hA,
T* hx,
T* h_beta,
T* hy,
rocsparse_spmv_alg alg,
rocsparse_matrix_type matrix_type = rocsparse_matrix_type_general)
{
host_coomv<I, T>(trans,
hA.m,
hA.n,
hA.nnz,
*h_alpha,
hA.row_ind,
hA.col_ind,
hA.val,
hx,
*h_beta,
hy,
hA.base);
}
static double byte_count(host_sparse_matrix<T>& hA, bool nonzero_beta)
{
return coomv_gbyte_count<T>(hA.m, hA.n, hA.nnz, nonzero_beta);
}
static double gflop_count(host_sparse_matrix<T>& hA, bool nonzero_beta)
{
return spmv_gflop_count(hA.m, hA.nnz, nonzero_beta);
}
};
//
// TRAITS FOR COO AOS FORMAT.
//
template <typename I, typename T>
struct testing_spmv_dispatch_traits<rocsparse_format_coo_aos, I, I, T>
{
using traits = testing_matrix_type_traits<rocsparse_format_coo_aos, I, I, T>;
template <typename U>
using host_sparse_matrix = typename traits::template host_sparse_matrix<U>;
template <typename U>
using device_sparse_matrix = typename traits::template device_sparse_matrix<U>;
static void sparse_initialization(rocsparse_matrix_factory<T, I, I>& matrix_factory,
host_sparse_matrix<T>& hA,
I& m,
I& n,
rocsparse_index_base base)
{
matrix_factory.init_coo_aos(hA, m, n, base);
}
template <typename... Ts>
static void display_info(const Arguments& arg,
const char* trans,
const char* trans_value,
device_sparse_matrix<T>& dA,
Ts&&... ts)
{
display_timing_info(trans, trans_value, "M", dA.m, "N", dA.n, "nnz", dA.nnz, ts...);
}
static void host_calculation(rocsparse_operation trans,
T* h_alpha,
host_sparse_matrix<T>& hA,
T* hx,
T* h_beta,
T* hy,
rocsparse_spmv_alg alg,
rocsparse_matrix_type matrix_type = rocsparse_matrix_type_general)
{
host_coomv_aos<I, T>(
trans, hA.m, hA.n, hA.nnz, *h_alpha, hA.ind, hA.val, hx, *h_beta, hy, hA.base);
}
static double byte_count(host_sparse_matrix<T>& hA, bool nonzero_beta)
{
return coomv_gbyte_count<T>(hA.m, hA.n, hA.nnz, nonzero_beta);
}
static double gflop_count(host_sparse_matrix<T>& hA, bool nonzero_beta)
{
return spmv_gflop_count(hA.m, hA.nnz, nonzero_beta);
}
};
//
// TRAITS FOR ELL FORMAT.
//
template <typename I, typename T>
struct testing_spmv_dispatch_traits<rocsparse_format_ell, I, I, T>
{
using traits = testing_matrix_type_traits<rocsparse_format_ell, I, I, T>;
template <typename U>
using host_sparse_matrix = typename traits::template host_sparse_matrix<U>;
template <typename U>
using device_sparse_matrix = typename traits::template device_sparse_matrix<U>;
static void sparse_initialization(rocsparse_matrix_factory<T, I, I>& matrix_factory,
host_sparse_matrix<T>& hA,
I& m,
I& n,
rocsparse_index_base base)
{
matrix_factory.init_ell(hA, m, n, base);
}
template <typename... Ts>
static void display_info(const Arguments& arg,
const char* trans,
const char* trans_value,
device_sparse_matrix<T>& dA,
Ts&&... ts)
{
display_timing_info(trans, trans_value, "M", dA.m, "N", dA.n, "nnz", dA.nnz, ts...);
}
static void host_calculation(rocsparse_operation trans,
T* h_alpha,
host_sparse_matrix<T>& hA,
T* hx,
T* h_beta,
T* hy,
rocsparse_spmv_alg alg,
rocsparse_matrix_type matrix_type = rocsparse_matrix_type_general)
{
host_ellmv<I, T>(
trans, hA.m, hA.n, *h_alpha, hA.ind, hA.val, hA.width, hx, *h_beta, hy, hA.base);
}
static double byte_count(host_sparse_matrix<T>& hA, bool nonzero_beta)
{
return ellmv_gbyte_count<T>(hA.m, hA.n, hA.nnz, nonzero_beta);
}
static double gflop_count(host_sparse_matrix<T>& hA, bool nonzero_beta)
{
return spmv_gflop_count(hA.m, hA.nnz, nonzero_beta);
}
};
template <rocsparse_format FORMAT, typename I, typename J, typename T>
struct testing_spmv_dispatch
{
private:
using traits = testing_spmv_dispatch_traits<FORMAT, I, J, T>;
template <typename U>
using host_sparse_matrix = typename traits::template host_sparse_matrix<U>;
template <typename U>
using device_sparse_matrix = typename traits::template device_sparse_matrix<U>;
public:
static void testing_spmv_bad_arg(const Arguments& arg)
{
T alpha = 0.6;
T beta = 0.1;
rocsparse_local_handle local_handle;
rocsparse_handle handle = local_handle;
rocsparse_operation trans = rocsparse_operation_none;
const void* p_alpha = (const void*)α
const void* p_beta = (const void*)β
rocsparse_spmv_alg alg = rocsparse_spmv_alg_default;
size_t buffer_size;
size_t* p_buffer_size = &buffer_size;
void* temp_buffer = (void*)0x4;
rocsparse_datatype ttype = get_datatype<T>();
#define PARAMS \
handle, trans, p_alpha, (const rocsparse_spmat_descr&)A, (const rocsparse_dnvec_descr&)x, \
p_beta, (rocsparse_dnvec_descr&)y, ttype, alg, p_buffer_size, temp_buffer
//
// NOT IMPLEMENTED CASES
//
{
//
// MIXED DATA TYPES
//
device_dense_matrix<T> dx;
device_dense_matrix<T> dy;
rocsparse_local_dnvec x(dx);
rocsparse_local_dnvec y(dy);
switch(ttype)
{
case rocsparse_datatype_f32_r:
{
device_sparse_matrix<double> dA;
rocsparse_local_spmat A(dA);
EXPECT_ROCSPARSE_STATUS(rocsparse_spmv(PARAMS), rocsparse_status_not_implemented);
break;
}
case rocsparse_datatype_f64_r:
case rocsparse_datatype_f32_c:
case rocsparse_datatype_f64_c:
{
device_sparse_matrix<float> dA;
rocsparse_local_spmat A(dA);
EXPECT_ROCSPARSE_STATUS(rocsparse_spmv(PARAMS), rocsparse_status_not_implemented);
break;
}
}
}
{
//
// MIXED DATA TYPES
//
device_dense_matrix<T> dx;
device_sparse_matrix<T> dA;
rocsparse_local_spmat A(dA);
rocsparse_local_dnvec x(dx);
switch(ttype)
{
case rocsparse_datatype_f32_r:
{
device_dense_matrix<double> dy;
rocsparse_local_dnvec y(dy);
EXPECT_ROCSPARSE_STATUS(rocsparse_spmv(PARAMS), rocsparse_status_not_implemented);
break;
}
case rocsparse_datatype_f64_r:
case rocsparse_datatype_f32_c:
case rocsparse_datatype_f64_c:
{
device_dense_matrix<float> dy;
rocsparse_local_dnvec y(dy);
EXPECT_ROCSPARSE_STATUS(rocsparse_spmv(PARAMS), rocsparse_status_not_implemented);
break;
}
}
}
{
//
// MIXED DATA TYPES
//
device_dense_matrix<T> dy;
device_sparse_matrix<T> dA;
rocsparse_local_spmat A(dA);
rocsparse_local_dnvec y(dy);
switch(ttype)
{
case rocsparse_datatype_f32_r:
{
device_dense_matrix<double> dx;
rocsparse_local_dnvec x(dx);
EXPECT_ROCSPARSE_STATUS(rocsparse_spmv(PARAMS), rocsparse_status_not_implemented);
break;
}
case rocsparse_datatype_f64_r:
case rocsparse_datatype_f32_c:
case rocsparse_datatype_f64_c:
{
device_dense_matrix<float> dx;
rocsparse_local_dnvec x(dx);
EXPECT_ROCSPARSE_STATUS(rocsparse_spmv(PARAMS), rocsparse_status_not_implemented);
break;
}
}
}
//
// AUTOMATIC BAD ARGS.
//
{
device_dense_matrix<T> dx, dy;
device_sparse_matrix<T> dA;
rocsparse_local_spmat A(dA);
rocsparse_local_dnvec x(dx);
rocsparse_local_dnvec y(dy);
//
// WITH 2 ARGUMENTS BEING SKIPPED DURING THE CHECK.
//
static const int nex = 2;
static const int ex[2] = {9, 10};
auto_testing_bad_arg(rocsparse_spmv, nex, ex, PARAMS);
p_buffer_size = nullptr;
temp_buffer = nullptr;
EXPECT_ROCSPARSE_STATUS(rocsparse_spmv(PARAMS), rocsparse_status_invalid_pointer);
}
#undef PARAMS
}
static void testing_spmv(const Arguments& arg)
{
J M = arg.M;
J N = arg.N;
rocsparse_operation trans = arg.transA;
rocsparse_index_base base = arg.baseA;
rocsparse_spmv_alg alg = arg.spmv_alg;
rocsparse_matrix_type matrix_type = arg.matrix_type;
rocsparse_fill_mode uplo = arg.uplo;
rocsparse_storage_mode storage = arg.storage;
rocsparse_datatype ttype = get_datatype<T>();
// Create rocsparse handle
rocsparse_local_handle handle;
host_scalar<T> h_alpha(arg.get_alpha<T>());
host_scalar<T> h_beta(arg.get_beta<T>());
#define PARAMS(alpha_, A_, x_, beta_, y_) \
handle, trans, alpha_, A_, x_, beta_, y_, ttype, alg, &buffer_size, dbuffer
// Argument sanity check before allocating invalid memory
// Allocate memory on device
// Pointer mode
// Check structures
// Check SpMV when structures can be created
if(M <= 0 || N <= 0 || (matrix_type == rocsparse_matrix_type_symmetric && M != N)
|| (matrix_type == rocsparse_matrix_type_triangular && M != N))
{
if(M == 0 || N == 0)
{
CHECK_ROCSPARSE_ERROR(
rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_host));
device_sparse_matrix<T> dA;
device_dense_matrix<T> dx, dy;
rocsparse_local_spmat A(dA);
rocsparse_local_dnvec x(dx);
rocsparse_local_dnvec y(dy);
EXPECT_ROCSPARSE_STATUS(
rocsparse_spmat_set_attribute(
A, rocsparse_spmat_matrix_type, &matrix_type, sizeof(matrix_type)),
rocsparse_status_success);
EXPECT_ROCSPARSE_STATUS(rocsparse_spmat_set_attribute(
A, rocsparse_spmat_fill_mode, &uplo, sizeof(uplo)),
rocsparse_status_success);
EXPECT_ROCSPARSE_STATUS(
rocsparse_spmat_set_attribute(
A, rocsparse_spmat_storage_mode, &storage, sizeof(storage)),
rocsparse_status_success);
size_t buffer_size;
void* dbuffer = nullptr;
EXPECT_ROCSPARSE_STATUS(rocsparse_spmv(PARAMS(h_alpha, A, x, h_beta, y)),
rocsparse_status_success);
CHECK_HIP_ERROR(rocsparse_hipMalloc(&dbuffer, 10));
EXPECT_ROCSPARSE_STATUS(rocsparse_spmv(PARAMS(h_alpha, A, x, h_beta, y)),
rocsparse_status_success);
CHECK_HIP_ERROR(rocsparse_hipFree(dbuffer));
return;
}
return;
}
// Wavefront size
int dev;
hipGetDevice(&dev);
hipDeviceProp_t prop;
hipGetDeviceProperties(&prop, dev);
//
// INITIALIZATE THE SPARSE MATRIX
//
host_sparse_matrix<T> hA;
{
const bool has_datafile = rocsparse_arguments_has_datafile(arg);
bool to_int = false;
to_int |= (prop.warpSize == 32);
to_int |= (alg != rocsparse_spmv_alg_csr_stream);
to_int |= (trans != rocsparse_operation_none && has_datafile);
to_int |= (matrix_type == rocsparse_matrix_type_symmetric && has_datafile);
static constexpr bool full_rank = false;
rocsparse_matrix_factory<T, I, J> matrix_factory(
arg, arg.unit_check ? to_int : false, full_rank);
traits::sparse_initialization(matrix_factory, hA, M, N, base);
}
if((matrix_type == rocsparse_matrix_type_symmetric && M != N)
|| (matrix_type == rocsparse_matrix_type_triangular && M != N))
{
return;
}
device_sparse_matrix<T> dA(hA);
host_dense_matrix<T> hx((trans == rocsparse_operation_none) ? N : M, 1);
rocsparse_matrix_utils::init_exact(hx);
device_dense_matrix<T> dx(hx);
host_dense_matrix<T> hy((trans == rocsparse_operation_none) ? M : N, 1);
rocsparse_matrix_utils::init_exact(hy);
device_dense_matrix<T> dy(hy);
rocsparse_local_spmat A(dA);
rocsparse_local_dnvec x(dx);
rocsparse_local_dnvec y(dy);
EXPECT_ROCSPARSE_STATUS(
rocsparse_spmat_set_attribute(
A, rocsparse_spmat_matrix_type, &matrix_type, sizeof(matrix_type)),
rocsparse_status_success);
EXPECT_ROCSPARSE_STATUS(
rocsparse_spmat_set_attribute(A, rocsparse_spmat_fill_mode, &uplo, sizeof(uplo)),
rocsparse_status_success);
EXPECT_ROCSPARSE_STATUS(rocsparse_spmat_set_attribute(
A, rocsparse_spmat_storage_mode, &storage, sizeof(storage)),
rocsparse_status_success);
void* dbuffer = nullptr;
size_t buffer_size = 0;
CHECK_ROCSPARSE_ERROR(rocsparse_spmv(PARAMS(h_alpha, A, x, h_beta, y)));
CHECK_HIP_ERROR(rocsparse_hipMalloc(&dbuffer, buffer_size));
if(arg.unit_check)
{
// Pointer mode host
CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_host));
CHECK_ROCSPARSE_ERROR(rocsparse_spmv(PARAMS(h_alpha, A, x, h_beta, y)));
//
// CPU spmv
//
{
host_dense_matrix<T> hy_copy(hy);
//
// HOST CALCULATION
//
traits::host_calculation(trans, h_alpha, hA, hx, h_beta, hy, alg, matrix_type);
hy.near_check(dy);
dy.transfer_from(hy_copy);
}
//
// Pointer mode device
//
{
device_scalar<T> d_alpha(h_alpha), d_beta(h_beta);
CHECK_ROCSPARSE_ERROR(
rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_device));
CHECK_ROCSPARSE_ERROR(rocsparse_spmv(PARAMS(d_alpha, A, x, d_beta, y)));
}
hy.near_check(dy);
}
if(arg.timing)
{
const int number_cold_calls = 2;
const int number_hot_calls = arg.iters;
CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_host));
// Warm up
for(int iter = 0; iter < number_cold_calls; ++iter)
{
CHECK_ROCSPARSE_ERROR(rocsparse_spmv(PARAMS(h_alpha, A, x, h_beta, y)));
}
double gpu_time_used = get_time_us();
// Performance run
for(int iter = 0; iter < number_hot_calls; ++iter)
{
CHECK_ROCSPARSE_ERROR(rocsparse_spmv(PARAMS(h_alpha, A, x, h_beta, y)));
}
gpu_time_used = (get_time_us() - gpu_time_used) / number_hot_calls;
const double gflop_count = traits::gflop_count(hA, *h_beta != static_cast<T>(0));
const double gbyte_count = traits::byte_count(hA, *h_beta != static_cast<T>(0));
const double gpu_gflops = get_gpu_gflops(gpu_time_used, gflop_count);
const double gpu_gbyte = get_gpu_gbyte(gpu_time_used, gbyte_count);
traits::display_info(arg,
"trans",
rocsparse_operation2string(trans),
dA,
"alpha",
*h_alpha,
"beta",
*h_beta,
"Algorithm",
rocsparse_spmvalg2string(alg),
s_timing_info_perf,
gpu_gflops,
s_timing_info_bandwidth,
gpu_gbyte,
s_timing_info_time,
get_gpu_time_msec(gpu_time_used));
}
CHECK_HIP_ERROR(rocsparse_hipFree(dbuffer));
return;
}
};
#endif // TESTING_SPMV_HPP
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