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/* ************************************************************************
* Copyright (C) 2022-2024 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 "testing.hpp"
#include <tuple>
template <typename I, typename J, typename A, typename B, typename C, typename T>
void testing_spmm_batched_csc_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;
J m = safe_size;
J n = safe_size;
J k = safe_size;
I nnz = safe_size;
void* csc_val = (void*)0x4;
void* csc_col_ptr = (void*)0x4;
void* csc_row_ind = (void*)0x4;
void* dense_B = (void*)0x4;
void* dense_C = (void*)0x4;
size_t* buffer_size = (size_t*)0x4;
void* temp_buffer = (void*)0x4;
rocsparse_operation trans_A = rocsparse_operation_none;
rocsparse_operation trans_B = rocsparse_operation_none;
rocsparse_index_base base = rocsparse_index_base_zero;
rocsparse_order order_B = rocsparse_order_column;
rocsparse_order order_C = rocsparse_order_column;
rocsparse_spmm_alg alg = rocsparse_spmm_alg_default;
rocsparse_spmm_stage stage = rocsparse_spmm_stage_compute;
rocsparse_indextype itype = get_indextype<I>();
rocsparse_indextype jtype = get_indextype<J>();
rocsparse_datatype atype = get_datatype<A>();
rocsparse_datatype btype = get_datatype<B>();
rocsparse_datatype ctype = get_datatype<C>();
rocsparse_datatype ttype = get_datatype<T>();
T alpha = static_cast<T>(1.0);
T beta = static_cast<T>(0.0);
// SpMM structures
static const bool use_csc_format = true;
rocsparse_local_spmat local_mat_A(
m, k, nnz, csc_col_ptr, csc_row_ind, csc_val, itype, jtype, base, atype, use_csc_format);
rocsparse_local_dnmat local_mat_B(k, n, k, dense_B, btype, order_B);
rocsparse_local_dnmat local_mat_C(m, n, m, dense_C, ctype, order_C);
rocsparse_spmat_descr mat_A = local_mat_A;
rocsparse_dnmat_descr mat_B = local_mat_B;
rocsparse_dnmat_descr mat_C = local_mat_C;
#define PARAMS \
handle, trans_A, trans_B, &alpha, mat_A, mat_B, &beta, mat_C, ttype, alg, stage, buffer_size, \
temp_buffer
rocsparse_int batch_count_A;
rocsparse_int batch_count_B;
rocsparse_int batch_count_C;
int64_t offsets_batch_stride_A;
int64_t rows_values_batch_stride_A;
int64_t batch_stride_B;
int64_t batch_stride_C;
// C_i = A * B_i
batch_count_A = 1;
batch_count_B = 10;
batch_count_C = 5;
offsets_batch_stride_A = 0;
rows_values_batch_stride_A = 0;
batch_stride_B = k * n;
batch_stride_C = m * n;
EXPECT_ROCSPARSE_STATUS(
rocsparse_csc_set_strided_batch(
mat_A, batch_count_A, offsets_batch_stride_A, rows_values_batch_stride_A),
rocsparse_status_success);
EXPECT_ROCSPARSE_STATUS(rocsparse_dnmat_set_strided_batch(mat_B, batch_count_B, batch_stride_B),
rocsparse_status_success);
EXPECT_ROCSPARSE_STATUS(rocsparse_dnmat_set_strided_batch(mat_C, batch_count_C, batch_stride_C),
rocsparse_status_success);
EXPECT_ROCSPARSE_STATUS(rocsparse_spmm(PARAMS), rocsparse_status_invalid_value);
// C_i = A_i * B
batch_count_A = 10;
batch_count_B = 1;
batch_count_C = 5;
offsets_batch_stride_A = (k + 1);
rows_values_batch_stride_A = nnz;
batch_stride_B = 0;
batch_stride_C = m * n;
EXPECT_ROCSPARSE_STATUS(
rocsparse_csc_set_strided_batch(
mat_A, batch_count_A, offsets_batch_stride_A, rows_values_batch_stride_A),
rocsparse_status_success);
EXPECT_ROCSPARSE_STATUS(rocsparse_dnmat_set_strided_batch(mat_B, batch_count_B, batch_stride_B),
rocsparse_status_success);
EXPECT_ROCSPARSE_STATUS(rocsparse_dnmat_set_strided_batch(mat_C, batch_count_C, batch_stride_C),
rocsparse_status_success);
EXPECT_ROCSPARSE_STATUS(rocsparse_spmm(PARAMS), rocsparse_status_invalid_value);
// C_i = A_i * B_i
batch_count_A = 10;
batch_count_B = 10;
batch_count_C = 5;
offsets_batch_stride_A = (k + 1);
rows_values_batch_stride_A = nnz;
batch_stride_B = k * n;
batch_stride_C = m * n;
EXPECT_ROCSPARSE_STATUS(
rocsparse_csc_set_strided_batch(
mat_A, batch_count_A, offsets_batch_stride_A, rows_values_batch_stride_A),
rocsparse_status_success);
EXPECT_ROCSPARSE_STATUS(rocsparse_dnmat_set_strided_batch(mat_B, batch_count_B, batch_stride_B),
rocsparse_status_success);
EXPECT_ROCSPARSE_STATUS(rocsparse_dnmat_set_strided_batch(mat_C, batch_count_C, batch_stride_C),
rocsparse_status_success);
EXPECT_ROCSPARSE_STATUS(rocsparse_spmm(PARAMS), rocsparse_status_invalid_value);
#undef PARAMS
}
template <typename I, typename J, typename A, typename B, typename C, typename T>
void testing_spmm_batched_csc(const Arguments& arg)
{
J M = arg.M;
J N = arg.N;
J K = arg.K;
rocsparse_operation trans_A = arg.transA;
rocsparse_operation trans_B = arg.transB;
rocsparse_index_base base = arg.baseA;
rocsparse_spmm_alg alg = arg.spmm_alg;
rocsparse_order order_B = arg.orderB;
rocsparse_order order_C = arg.orderC;
rocsparse_int ld_multiplier_B = arg.ld_multiplier_B;
rocsparse_int ld_multiplier_C = arg.ld_multiplier_C;
J batch_count_A = arg.batch_count_A;
J batch_count_B = arg.batch_count_B;
J batch_count_C = arg.batch_count_C;
T halpha = arg.get_alpha<T>();
T hbeta = arg.get_beta<T>();
// Index and data type
rocsparse_indextype itype = get_indextype<I>();
rocsparse_indextype jtype = get_indextype<J>();
rocsparse_datatype atype = get_datatype<A>();
rocsparse_datatype btype = get_datatype<B>();
rocsparse_datatype ctype = get_datatype<C>();
rocsparse_datatype ttype = get_datatype<T>();
// Create rocsparse handle
rocsparse_local_handle handle(arg);
bool Ci_A_Bi = (batch_count_A == 1 && batch_count_B == batch_count_C);
bool Ci_Ai_B = (batch_count_B == 1 && batch_count_A == batch_count_C);
bool Ci_Ai_Bi = (batch_count_A == batch_count_C && batch_count_A == batch_count_B);
if(!Ci_A_Bi && !Ci_Ai_B && !Ci_Ai_Bi)
{
return;
}
// Allocate host memory for matrix
rocsparse_matrix_factory<A, I, J> matrix_factory(arg);
// Generate single batch of A matrix
host_vector<I> hcsc_col_ptr_temp;
host_vector<J> hcsc_row_ind_temp;
host_vector<A> hcsc_val_temp;
I nnz_A;
matrix_factory.init_csc(hcsc_col_ptr_temp,
hcsc_row_ind_temp,
hcsc_val_temp,
(trans_A == rocsparse_operation_none) ? M : K,
(trans_A == rocsparse_operation_none) ? K : M,
nnz_A,
base);
// Some matrix properties
J A_m = (trans_A == rocsparse_operation_none) ? M : K;
J A_n = (trans_A == rocsparse_operation_none) ? K : M;
J B_m = (trans_B == rocsparse_operation_none) ? K : N;
J B_n = (trans_B == rocsparse_operation_none) ? N : K;
J C_m = M;
J C_n = N;
int64_t ldb = (order_B == rocsparse_order_column)
? ((trans_B == rocsparse_operation_none) ? (int64_t(ld_multiplier_B) * K)
: (int64_t(ld_multiplier_B) * N))
: ((trans_B == rocsparse_operation_none) ? (int64_t(ld_multiplier_B) * N)
: (int64_t(ld_multiplier_B) * K));
int64_t ldc = (order_C == rocsparse_order_column) ? (int64_t(ld_multiplier_C) * M)
: (int64_t(ld_multiplier_C) * N);
int64_t nrowB = (order_B == rocsparse_order_column) ? ldb : B_m;
int64_t ncolB = (order_B == rocsparse_order_column) ? B_n : ldb;
int64_t nrowC = (order_C == rocsparse_order_column) ? ldc : C_m;
int64_t ncolC = (order_C == rocsparse_order_column) ? C_n : ldc;
int64_t nnz_B = nrowB * ncolB;
int64_t nnz_C = nrowC * ncolC;
int64_t offsets_batch_stride_A = (batch_count_A > 1) ? (A_n + 1) : 0;
int64_t rows_values_batch_stride_A = (batch_count_A > 1) ? nnz_A : 0;
int64_t batch_stride_B = (batch_count_B > 1) ? nnz_B : 0;
int64_t batch_stride_C = (batch_count_C > 1) ? nnz_C : 0;
// Allocate host memory for all batches of A matrix
host_vector<I> hcsc_col_ptr(batch_count_A * (A_n + 1));
host_vector<J> hcsc_row_ind(batch_count_A * nnz_A);
host_vector<A> hcsc_val(batch_count_A * nnz_A);
for(J i = 0; i < batch_count_A; i++)
{
for(size_t j = 0; j < (A_n + 1); j++)
{
hcsc_col_ptr[(A_n + 1) * i + j] = hcsc_col_ptr_temp[j];
}
for(size_t j = 0; j < nnz_A; j++)
{
hcsc_row_ind[nnz_A * i + j] = hcsc_row_ind_temp[j];
hcsc_val[nnz_A * i + j] = hcsc_val_temp[j];
}
}
// Allocate host memory for vectors
host_vector<B> hB(batch_count_B * nnz_B);
host_vector<C> hC_1(batch_count_C * nnz_C);
host_vector<C> hC_2(batch_count_C * nnz_C);
host_vector<C> hC_gold(batch_count_C * nnz_C);
// Initialize data on CPU
rocsparse_init<B>(hB, batch_count_B * nnz_B, 1, 1);
rocsparse_init<C>(hC_1, batch_count_C * nnz_C, 1, 1);
hC_2 = hC_1;
hC_gold = hC_1;
// Allocate device memory
device_vector<I> dcsc_col_ptr(hcsc_col_ptr);
device_vector<J> dcsc_row_ind(hcsc_row_ind);
device_vector<A> dcsc_val(hcsc_val);
device_vector<B> dB(hB);
device_vector<C> dC_1(hC_1);
device_vector<C> dC_2(hC_2);
device_vector<T> dalpha(1);
device_vector<T> dbeta(1);
CHECK_HIP_ERROR(hipMemcpy(dalpha, &halpha, sizeof(T), hipMemcpyHostToDevice));
CHECK_HIP_ERROR(hipMemcpy(dbeta, &hbeta, sizeof(T), hipMemcpyHostToDevice));
// Create descriptors
static const bool use_csc_format = true;
rocsparse_local_spmat mat_A(A_m,
A_n,
nnz_A,
dcsc_col_ptr,
dcsc_row_ind,
dcsc_val,
itype,
jtype,
base,
atype,
use_csc_format);
ldb = std::max(int64_t(1), ldb);
ldc = std::max(int64_t(1), ldc);
rocsparse_local_dnmat mat_B(B_m, B_n, ldb, dB, btype, order_B);
rocsparse_local_dnmat mat_C1(C_m, C_n, ldc, dC_1, ctype, order_C);
rocsparse_local_dnmat mat_C2(C_m, C_n, ldc, dC_2, ctype, order_C);
CHECK_ROCSPARSE_ERROR(rocsparse_csc_set_strided_batch(
mat_A, batch_count_A, offsets_batch_stride_A, rows_values_batch_stride_A));
CHECK_ROCSPARSE_ERROR(rocsparse_dnmat_set_strided_batch(mat_B, batch_count_B, batch_stride_B));
CHECK_ROCSPARSE_ERROR(rocsparse_dnmat_set_strided_batch(mat_C1, batch_count_C, batch_stride_C));
CHECK_ROCSPARSE_ERROR(rocsparse_dnmat_set_strided_batch(mat_C2, batch_count_C, batch_stride_C));
// Query SpMM buffer
size_t buffer_size;
CHECK_ROCSPARSE_ERROR(rocsparse_spmm(handle,
trans_A,
trans_B,
&halpha,
mat_A,
mat_B,
&hbeta,
mat_C1,
ttype,
alg,
rocsparse_spmm_stage_buffer_size,
&buffer_size,
nullptr));
// Allocate buffer
void* dbuffer;
CHECK_HIP_ERROR(rocsparse_hipMalloc(&dbuffer, buffer_size));
CHECK_ROCSPARSE_ERROR(rocsparse_spmm(handle,
trans_A,
trans_B,
&halpha,
mat_A,
mat_B,
&hbeta,
mat_C1,
ttype,
alg,
rocsparse_spmm_stage_preprocess,
&buffer_size,
dbuffer));
if(arg.unit_check)
{
// Pointer mode host
CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_host));
CHECK_ROCSPARSE_ERROR(testing::rocsparse_spmm(handle,
trans_A,
trans_B,
&halpha,
mat_A,
mat_B,
&hbeta,
mat_C1,
ttype,
alg,
rocsparse_spmm_stage_compute,
&buffer_size,
dbuffer));
// Pointer mode device
CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_device));
CHECK_ROCSPARSE_ERROR(testing::rocsparse_spmm(handle,
trans_A,
trans_B,
dalpha,
mat_A,
mat_B,
dbeta,
mat_C2,
ttype,
alg,
rocsparse_spmm_stage_compute,
&buffer_size,
dbuffer));
// Copy output to host
hC_1.transfer_from(dC_1);
hC_2.transfer_from(dC_2);
// CPU cscmm_batched
host_cscmm_batched<T, I, J, A, B, C>(A_m,
N,
A_n,
batch_count_A,
offsets_batch_stride_A,
rows_values_batch_stride_A,
trans_A,
trans_B,
halpha,
hcsc_col_ptr,
hcsc_row_ind,
hcsc_val,
hB,
ldb,
batch_count_B,
batch_stride_B,
order_B,
hbeta,
hC_gold,
ldc,
batch_count_C,
batch_stride_C,
order_C,
base);
hC_gold.near_check(hC_1);
hC_gold.near_check(hC_2);
}
if(arg.timing)
{
int number_cold_calls = 2;
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_spmm(handle,
trans_A,
trans_B,
&halpha,
mat_A,
mat_B,
&hbeta,
mat_C1,
ttype,
alg,
rocsparse_spmm_stage_compute,
&buffer_size,
dbuffer));
}
double gpu_time_used = get_time_us();
// Performance run
for(int iter = 0; iter < number_hot_calls; ++iter)
{
CHECK_ROCSPARSE_ERROR(rocsparse_spmm(handle,
trans_A,
trans_B,
&halpha,
mat_A,
mat_B,
&hbeta,
mat_C1,
ttype,
alg,
rocsparse_spmm_stage_compute,
&buffer_size,
dbuffer));
}
gpu_time_used = (get_time_us() - gpu_time_used) / number_hot_calls;
double gflop_count
= batch_count_C
* spmm_gflop_count(N, nnz_A, (I)C_m * (I)C_n, hbeta != static_cast<T>(0));
double gpu_gflops = get_gpu_gflops(gpu_time_used, gflop_count);
double gbyte_count = cscmm_batched_gbyte_count<T>(A_n,
nnz_A,
(I)B_m * (I)B_n,
(I)C_m * (I)C_n,
batch_count_A,
batch_count_B,
batch_count_C,
hbeta != static_cast<T>(0));
double gpu_gbyte = get_gpu_gbyte(gpu_time_used, gbyte_count);
display_timing_info(display_key_t::M,
M,
display_key_t::N,
N,
display_key_t::K,
K,
display_key_t::nnz_A,
nnz_A,
display_key_t::batch_count_A,
batch_count_A,
display_key_t::batch_count_B,
batch_count_B,
display_key_t::batch_count_C,
batch_count_C,
display_key_t::alpha,
halpha,
display_key_t::beta,
hbeta,
display_key_t::algorithm,
rocsparse_spmmalg2string(alg),
display_key_t::gflops,
gpu_gflops,
display_key_t::bandwidth,
gpu_gbyte,
display_key_t::time_ms,
get_gpu_time_msec(gpu_time_used));
}
CHECK_HIP_ERROR(rocsparse_hipFree(dbuffer));
}
#define INSTANTIATE(ITYPE, JTYPE, TTYPE) \
template void testing_spmm_batched_csc_bad_arg<ITYPE, JTYPE, TTYPE, TTYPE, TTYPE, TTYPE>( \
const Arguments& arg); \
template void testing_spmm_batched_csc<ITYPE, JTYPE, TTYPE, TTYPE, TTYPE, TTYPE>( \
const Arguments& arg)
#define INSTANTIATE_MIXED(ITYPE, JTYPE, ATYPE, XTYPE, YTYPE, TTYPE) \
template void testing_spmm_batched_csc_bad_arg<ITYPE, JTYPE, ATYPE, XTYPE, YTYPE, TTYPE>( \
const Arguments& arg); \
template void testing_spmm_batched_csc<ITYPE, JTYPE, ATYPE, XTYPE, YTYPE, TTYPE>( \
const Arguments& arg)
INSTANTIATE(int32_t, int32_t, float);
INSTANTIATE(int32_t, int32_t, double);
INSTANTIATE(int32_t, int32_t, rocsparse_float_complex);
INSTANTIATE(int32_t, int32_t, rocsparse_double_complex);
INSTANTIATE(int64_t, int32_t, float);
INSTANTIATE(int64_t, int32_t, double);
INSTANTIATE(int64_t, int32_t, rocsparse_float_complex);
INSTANTIATE(int64_t, int32_t, rocsparse_double_complex);
INSTANTIATE(int64_t, int64_t, float);
INSTANTIATE(int64_t, int64_t, double);
INSTANTIATE(int64_t, int64_t, rocsparse_float_complex);
INSTANTIATE(int64_t, int64_t, rocsparse_double_complex);
INSTANTIATE_MIXED(int32_t, int32_t, int8_t, int8_t, int32_t, int32_t);
INSTANTIATE_MIXED(int64_t, int32_t, int8_t, int8_t, int32_t, int32_t);
INSTANTIATE_MIXED(int64_t, int64_t, int8_t, int8_t, int32_t, int32_t);
INSTANTIATE_MIXED(int32_t, int32_t, int8_t, int8_t, float, float);
INSTANTIATE_MIXED(int64_t, int32_t, int8_t, int8_t, float, float);
INSTANTIATE_MIXED(int64_t, int64_t, int8_t, int8_t, float, float);
void testing_spmm_batched_csc_extra(const Arguments& arg) {}
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