Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

[SYCLomatic #1445] Add test for migration cusparseCsr2cscEx2 #521

Merged
merged 5 commits into from
Dec 5, 2023
Merged

[SYCLomatic #1445] Add test for migration cusparseCsr2cscEx2 #521

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
5 commits
Select commit Hold shift + click to select a range
38e3623
Fix code
zhiweij1 Nov 27, 2023
1c4d896
Add more test
zhiweij1 Nov 30, 2023
45b442d
Merge remote-tracking branch 'origin/SYCLomatic' into sparse3
zhiweij1 Dec 4, 2023
290fbbc
Update tests
zhiweij1 Dec 4, 2023
2761297
Merge remote-tracking branch 'origin/SYCLomatic' into sparse3
zhiweij1 Dec 4, 2023
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
13 changes: 13 additions & 0 deletions features/config/TEMPLATE_cusparse_after_101_skip_double.xml
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,13 @@
<?xml version="1.0" encoding="UTF-8"?>

<test driverID="test_feature" name="TEMPLATE">
<description>test</description>
<files>
<file path="feature_case/cusparse/${testName}.cu" />
</files>
<rules>
<platformRule OSFamily="Linux" kit="CUDA10.1" kitRange="OLDER" runOnThisPlatform="false"/>
<platformRule OSFamily="Windows" kit="CUDA10.1" kitRange="OLDER" runOnThisPlatform="false"/>
<optlevelRule GPUFeature="NOT double" excludeOptlevelNameString="gpu" />
</rules>
</test>
345 changes: 345 additions & 0 deletions features/feature_case/cusparse/cusparse_8.cu
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,345 @@
// ===------- cusparse_8.cu -------------------------------- *- CUDA -* ----===//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
// ===----------------------------------------------------------------------===//

#include "cusparse.h"

#include <cmath>
#include <complex>
#include <cstdio>
#include <vector>

template <class d_data_t>
struct Data {
float *h_data;
d_data_t *d_data;
int element_num;
Data(int element_num) : element_num(element_num) {
h_data = (float *)malloc(sizeof(float) * element_num);
memset(h_data, 0, sizeof(float) * element_num);
cudaMalloc(&d_data, sizeof(d_data_t) * element_num);
cudaMemset(d_data, 0, sizeof(d_data_t) * element_num);
}
Data(float *input_data, int element_num) : element_num(element_num) {
h_data = (float *)malloc(sizeof(float) * element_num);
cudaMalloc(&d_data, sizeof(d_data_t) * element_num);
cudaMemset(d_data, 0, sizeof(d_data_t) * element_num);
memcpy(h_data, input_data, sizeof(float) * element_num);
}
~Data() {
free(h_data);
cudaFree(d_data);
}
void H2D() {
d_data_t *h_temp = (d_data_t *)malloc(sizeof(d_data_t) * element_num);
memset(h_temp, 0, sizeof(d_data_t) * element_num);
from_float_convert(h_data, h_temp);
cudaMemcpy(d_data, h_temp, sizeof(d_data_t) * element_num,
cudaMemcpyHostToDevice);
free(h_temp);
}
void D2H() {
d_data_t *h_temp = (d_data_t *)malloc(sizeof(d_data_t) * element_num);
memset(h_temp, 0, sizeof(d_data_t) * element_num);
cudaMemcpy(h_temp, d_data, sizeof(d_data_t) * element_num,
cudaMemcpyDeviceToHost);
to_float_convert(h_temp, h_data);
free(h_temp);
}

private:
inline void from_float_convert(float *in, d_data_t *out) {
for (int i = 0; i < element_num; i++)
out[i] = in[i];
}
inline void to_float_convert(d_data_t *in, float *out) {
for (int i = 0; i < element_num; i++)
out[i] = in[i];
}
};
template <>
inline void Data<float2>::from_float_convert(float *in, float2 *out) {
for (int i = 0; i < element_num; i++)
out[i].x = in[i];
}
template <>
inline void Data<double2>::from_float_convert(float *in, double2 *out) {
for (int i = 0; i < element_num; i++)
out[i].x = in[i];
}

template <>
inline void Data<float2>::to_float_convert(float2 *in, float *out) {
for (int i = 0; i < element_num; i++)
out[i] = in[i].x;
}
template <>
inline void Data<double2>::to_float_convert(double2 *in, float *out) {
for (int i = 0; i < element_num; i++)
out[i] = in[i].x;
}

bool compare_result(float *expect, float *result, int element_num) {
for (int i = 0; i < element_num; i++) {
if (std::abs(result[i] - expect[i]) >= 0.05) {
return false;
}
}
return true;
}

bool compare_result(float *expect, float *result, std::vector<int> indices) {
for (int i = 0; i < indices.size(); i++) {
if (std::abs(result[indices[i]] - expect[indices[i]]) >= 0.05) {
return false;
}
}
return true;
}

bool test_passed = true;

// | 1 1 2 0 |
// | 0 1 3 0 |
// | 0 0 1 5 |
void test_cusparseCsr2csc_00() {
std::vector<float> a_val_vec = {1, 1, 2, 1, 3, 1, 5};
Data<float> a_s_val(a_val_vec.data(), 7);
Data<double> a_d_val(a_val_vec.data(), 7);
Data<float2> a_c_val(a_val_vec.data(), 7);
Data<double2> a_z_val(a_val_vec.data(), 7);
std::vector<float> a_row_ptr_vec = {0, 3, 5, 7};
Data<int> a_s_row_ptr(a_row_ptr_vec.data(), 4);
Data<int> a_d_row_ptr(a_row_ptr_vec.data(), 4);
Data<int> a_c_row_ptr(a_row_ptr_vec.data(), 4);
Data<int> a_z_row_ptr(a_row_ptr_vec.data(), 4);
std::vector<float> a_col_ind_vec = {0, 1, 2, 1, 2, 2, 3};
Data<int> a_s_col_ind(a_col_ind_vec.data(), 7);
Data<int> a_d_col_ind(a_col_ind_vec.data(), 7);
Data<int> a_c_col_ind(a_col_ind_vec.data(), 7);
Data<int> a_z_col_ind(a_col_ind_vec.data(), 7);

Data<float> b_s_val(a_val_vec.data(), 7);
Data<double> b_d_val(a_val_vec.data(), 7);
Data<float2> b_c_val(a_val_vec.data(), 7);
Data<double2> b_z_val(a_val_vec.data(), 7);
Data<int> b_s_col_ptr(a_row_ptr_vec.data(), 5);
Data<int> b_d_col_ptr(a_row_ptr_vec.data(), 5);
Data<int> b_c_col_ptr(a_row_ptr_vec.data(), 5);
Data<int> b_z_col_ptr(a_row_ptr_vec.data(), 5);
Data<int> b_s_row_ind(a_col_ind_vec.data(), 7);
Data<int> b_d_row_ind(a_col_ind_vec.data(), 7);
Data<int> b_c_row_ind(a_col_ind_vec.data(), 7);
Data<int> b_z_row_ind(a_col_ind_vec.data(), 7);

cusparseHandle_t handle;
cusparseCreate(&handle);

a_s_val.H2D();
a_d_val.H2D();
a_c_val.H2D();
a_z_val.H2D();
a_s_row_ptr.H2D();
a_d_row_ptr.H2D();
a_c_row_ptr.H2D();
a_z_row_ptr.H2D();
a_s_col_ind.H2D();
a_d_col_ind.H2D();
a_c_col_ind.H2D();
a_z_col_ind.H2D();


size_t ws_size_s = 0;
size_t ws_size_d = 0;
size_t ws_size_c = 0;
size_t ws_size_z = 0;
cusparseCsr2cscEx2_bufferSize(handle, 3, 4, 7, a_s_val.d_data, a_s_row_ptr.d_data, a_s_col_ind.d_data, b_s_val.d_data, b_s_col_ptr.d_data, b_s_row_ind.d_data, CUDA_R_32F, CUSPARSE_ACTION_NUMERIC, CUSPARSE_INDEX_BASE_ZERO, CUSPARSE_CSR2CSC_ALG1, &ws_size_s);
cusparseCsr2cscEx2_bufferSize(handle, 3, 4, 7, a_d_val.d_data, a_d_row_ptr.d_data, a_d_col_ind.d_data, b_d_val.d_data, b_d_col_ptr.d_data, b_d_row_ind.d_data, CUDA_R_64F, CUSPARSE_ACTION_NUMERIC, CUSPARSE_INDEX_BASE_ZERO, CUSPARSE_CSR2CSC_ALG1, &ws_size_d);
cusparseCsr2cscEx2_bufferSize(handle, 3, 4, 7, a_c_val.d_data, a_c_row_ptr.d_data, a_c_col_ind.d_data, b_c_val.d_data, b_c_col_ptr.d_data, b_c_row_ind.d_data, CUDA_C_32F, CUSPARSE_ACTION_NUMERIC, CUSPARSE_INDEX_BASE_ZERO, CUSPARSE_CSR2CSC_ALG1, &ws_size_c);
cusparseCsr2cscEx2_bufferSize(handle, 3, 4, 7, a_z_val.d_data, a_z_row_ptr.d_data, a_z_col_ind.d_data, b_z_val.d_data, b_z_col_ptr.d_data, b_z_row_ind.d_data, CUDA_C_64F, CUSPARSE_ACTION_NUMERIC, CUSPARSE_INDEX_BASE_ZERO, CUSPARSE_CSR2CSC_ALG1, &ws_size_z);

void *ws_s;
void *ws_d;
void *ws_c;
void *ws_z;
cudaMalloc(&ws_s, ws_size_s);
cudaMalloc(&ws_d, ws_size_d);
cudaMalloc(&ws_c, ws_size_c);
cudaMalloc(&ws_z, ws_size_z);

cusparseCsr2cscEx2(handle, 3, 4, 7, a_s_val.d_data, a_s_row_ptr.d_data, a_s_col_ind.d_data, b_s_val.d_data, b_s_col_ptr.d_data, b_s_row_ind.d_data, CUDA_R_32F, CUSPARSE_ACTION_NUMERIC, CUSPARSE_INDEX_BASE_ZERO, CUSPARSE_CSR2CSC_ALG1, ws_s);
cusparseCsr2cscEx2(handle, 3, 4, 7, a_d_val.d_data, a_d_row_ptr.d_data, a_d_col_ind.d_data, b_d_val.d_data, b_d_col_ptr.d_data, b_d_row_ind.d_data, CUDA_R_64F, CUSPARSE_ACTION_NUMERIC, CUSPARSE_INDEX_BASE_ZERO, CUSPARSE_CSR2CSC_ALG1, ws_d);
cusparseCsr2cscEx2(handle, 3, 4, 7, a_c_val.d_data, a_c_row_ptr.d_data, a_c_col_ind.d_data, b_c_val.d_data, b_c_col_ptr.d_data, b_c_row_ind.d_data, CUDA_C_32F, CUSPARSE_ACTION_NUMERIC, CUSPARSE_INDEX_BASE_ZERO, CUSPARSE_CSR2CSC_ALG1, ws_c);
cusparseCsr2cscEx2(handle, 3, 4, 7, a_z_val.d_data, a_z_row_ptr.d_data, a_z_col_ind.d_data, b_z_val.d_data, b_z_col_ptr.d_data, b_z_row_ind.d_data, CUDA_C_64F, CUSPARSE_ACTION_NUMERIC, CUSPARSE_INDEX_BASE_ZERO, CUSPARSE_CSR2CSC_ALG1, ws_z);

b_s_val.D2H();
b_d_val.D2H();
b_c_val.D2H();
b_z_val.D2H();
b_s_col_ptr.D2H();
b_d_col_ptr.D2H();
b_c_col_ptr.D2H();
b_z_col_ptr.D2H();
b_s_row_ind.D2H();
b_d_row_ind.D2H();
b_c_row_ind.D2H();
b_z_row_ind.D2H();

cudaStreamSynchronize(0);

cudaFree(ws_s);
cudaFree(ws_d);
cudaFree(ws_c);
cudaFree(ws_z);
cusparseDestroy(handle);

float expect_b_val[7] = {1, 1, 1, 2, 3, 1, 5};
float expect_b_col_ptr[5] = {0, 1, 3, 6, 7};
float expect_b_row_ind[7] = {0, 0, 1, 0, 1, 2, 2};
if (compare_result(expect_b_val, b_s_val.h_data, 7) &&
compare_result(expect_b_val, b_d_val.h_data, 7) &&
compare_result(expect_b_val, b_c_val.h_data, 7) &&
compare_result(expect_b_val, b_z_val.h_data, 7) &&
compare_result(expect_b_col_ptr, b_s_col_ptr.h_data, 5) &&
compare_result(expect_b_col_ptr, b_d_col_ptr.h_data, 5) &&
compare_result(expect_b_col_ptr, b_c_col_ptr.h_data, 5) &&
compare_result(expect_b_col_ptr, b_z_col_ptr.h_data, 5) &&
compare_result(expect_b_row_ind, b_s_row_ind.h_data, 7) &&
compare_result(expect_b_row_ind, b_d_row_ind.h_data, 7) &&
compare_result(expect_b_row_ind, b_c_row_ind.h_data, 7) &&
compare_result(expect_b_row_ind, b_z_row_ind.h_data, 7))
printf("Csr2csc 00 pass\n");
else {
printf("Csr2csc 00 fail\n");
test_passed = false;
}
}

// | 1 1 2 0 |
// | 0 1 3 0 |
// | 0 0 1 5 |
void test_cusparseCsr2csc_01() {
std::vector<float> a_val_vec = {1, 1, 2, 1, 3, 1, 5};
Data<float> a_s_val(a_val_vec.data(), 7);
Data<double> a_d_val(a_val_vec.data(), 7);
Data<float2> a_c_val(a_val_vec.data(), 7);
Data<double2> a_z_val(a_val_vec.data(), 7);
std::vector<float> a_row_ptr_vec = {0, 3, 5, 7};
Data<int> a_s_row_ptr(a_row_ptr_vec.data(), 4);
Data<int> a_d_row_ptr(a_row_ptr_vec.data(), 4);
Data<int> a_c_row_ptr(a_row_ptr_vec.data(), 4);
Data<int> a_z_row_ptr(a_row_ptr_vec.data(), 4);
std::vector<float> a_col_ind_vec = {0, 1, 2, 1, 2, 2, 3};
Data<int> a_s_col_ind(a_col_ind_vec.data(), 7);
Data<int> a_d_col_ind(a_col_ind_vec.data(), 7);
Data<int> a_c_col_ind(a_col_ind_vec.data(), 7);
Data<int> a_z_col_ind(a_col_ind_vec.data(), 7);

Data<float> b_s_val(a_val_vec.data(), 7);
Data<double> b_d_val(a_val_vec.data(), 7);
Data<float2> b_c_val(a_val_vec.data(), 7);
Data<double2> b_z_val(a_val_vec.data(), 7);
Data<int> b_s_col_ptr(a_row_ptr_vec.data(), 5);
Data<int> b_d_col_ptr(a_row_ptr_vec.data(), 5);
Data<int> b_c_col_ptr(a_row_ptr_vec.data(), 5);
Data<int> b_z_col_ptr(a_row_ptr_vec.data(), 5);
Data<int> b_s_row_ind(a_col_ind_vec.data(), 7);
Data<int> b_d_row_ind(a_col_ind_vec.data(), 7);
Data<int> b_c_row_ind(a_col_ind_vec.data(), 7);
Data<int> b_z_row_ind(a_col_ind_vec.data(), 7);

cusparseHandle_t handle;
cusparseCreate(&handle);

a_s_val.H2D();
a_d_val.H2D();
a_c_val.H2D();
a_z_val.H2D();
a_s_row_ptr.H2D();
a_d_row_ptr.H2D();
a_c_row_ptr.H2D();
a_z_row_ptr.H2D();
a_s_col_ind.H2D();
a_d_col_ind.H2D();
a_c_col_ind.H2D();
a_z_col_ind.H2D();


size_t ws_size_s = 0;
size_t ws_size_d = 0;
size_t ws_size_c = 0;
size_t ws_size_z = 0;
cusparseCsr2cscEx2_bufferSize(handle, 3, 4, 7, a_s_val.d_data, a_s_row_ptr.d_data, a_s_col_ind.d_data, b_s_val.d_data, b_s_col_ptr.d_data, b_s_row_ind.d_data, CUDA_R_32F, CUSPARSE_ACTION_SYMBOLIC, CUSPARSE_INDEX_BASE_ZERO, CUSPARSE_CSR2CSC_ALG1, &ws_size_s);
cusparseCsr2cscEx2_bufferSize(handle, 3, 4, 7, a_d_val.d_data, a_d_row_ptr.d_data, a_d_col_ind.d_data, b_d_val.d_data, b_d_col_ptr.d_data, b_d_row_ind.d_data, CUDA_R_64F, CUSPARSE_ACTION_SYMBOLIC, CUSPARSE_INDEX_BASE_ZERO, CUSPARSE_CSR2CSC_ALG1, &ws_size_d);
cusparseCsr2cscEx2_bufferSize(handle, 3, 4, 7, a_c_val.d_data, a_c_row_ptr.d_data, a_c_col_ind.d_data, b_c_val.d_data, b_c_col_ptr.d_data, b_c_row_ind.d_data, CUDA_C_32F, CUSPARSE_ACTION_SYMBOLIC, CUSPARSE_INDEX_BASE_ZERO, CUSPARSE_CSR2CSC_ALG1, &ws_size_c);
cusparseCsr2cscEx2_bufferSize(handle, 3, 4, 7, a_z_val.d_data, a_z_row_ptr.d_data, a_z_col_ind.d_data, b_z_val.d_data, b_z_col_ptr.d_data, b_z_row_ind.d_data, CUDA_C_64F, CUSPARSE_ACTION_SYMBOLIC, CUSPARSE_INDEX_BASE_ZERO, CUSPARSE_CSR2CSC_ALG1, &ws_size_z);

void *ws_s;
void *ws_d;
void *ws_c;
void *ws_z;
cudaMalloc(&ws_s, ws_size_s);
cudaMalloc(&ws_d, ws_size_d);
cudaMalloc(&ws_c, ws_size_c);
cudaMalloc(&ws_z, ws_size_z);

cusparseCsr2cscEx2(handle, 3, 4, 7, a_s_val.d_data, a_s_row_ptr.d_data, a_s_col_ind.d_data, b_s_val.d_data, b_s_col_ptr.d_data, b_s_row_ind.d_data, CUDA_R_32F, CUSPARSE_ACTION_SYMBOLIC, CUSPARSE_INDEX_BASE_ZERO, CUSPARSE_CSR2CSC_ALG1, ws_s);
cusparseCsr2cscEx2(handle, 3, 4, 7, a_d_val.d_data, a_d_row_ptr.d_data, a_d_col_ind.d_data, b_d_val.d_data, b_d_col_ptr.d_data, b_d_row_ind.d_data, CUDA_R_64F, CUSPARSE_ACTION_SYMBOLIC, CUSPARSE_INDEX_BASE_ZERO, CUSPARSE_CSR2CSC_ALG1, ws_d);
cusparseCsr2cscEx2(handle, 3, 4, 7, a_c_val.d_data, a_c_row_ptr.d_data, a_c_col_ind.d_data, b_c_val.d_data, b_c_col_ptr.d_data, b_c_row_ind.d_data, CUDA_C_32F, CUSPARSE_ACTION_SYMBOLIC, CUSPARSE_INDEX_BASE_ZERO, CUSPARSE_CSR2CSC_ALG1, ws_c);
cusparseCsr2cscEx2(handle, 3, 4, 7, a_z_val.d_data, a_z_row_ptr.d_data, a_z_col_ind.d_data, b_z_val.d_data, b_z_col_ptr.d_data, b_z_row_ind.d_data, CUDA_C_64F, CUSPARSE_ACTION_SYMBOLIC, CUSPARSE_INDEX_BASE_ZERO, CUSPARSE_CSR2CSC_ALG1, ws_z);

b_s_val.D2H();
b_d_val.D2H();
b_c_val.D2H();
b_z_val.D2H();
b_s_col_ptr.D2H();
b_d_col_ptr.D2H();
b_c_col_ptr.D2H();
b_z_col_ptr.D2H();
b_s_row_ind.D2H();
b_d_row_ind.D2H();
b_c_row_ind.D2H();
b_z_row_ind.D2H();

cudaStreamSynchronize(0);

cudaFree(ws_s);
cudaFree(ws_d);
cudaFree(ws_c);
cudaFree(ws_z);
cusparseDestroy(handle);

float expect_b_val[7] = {0, 0, 0, 0, 0, 0, 0};
float expect_b_col_ptr[5] = {0, 1, 3, 6, 7};
float expect_b_row_ind[7] = {0, 0, 1, 0, 1, 2, 2};
if (compare_result(expect_b_val, b_s_val.h_data, 7) &&
compare_result(expect_b_val, b_d_val.h_data, 7) &&
compare_result(expect_b_val, b_c_val.h_data, 7) &&
compare_result(expect_b_val, b_z_val.h_data, 7) &&
compare_result(expect_b_col_ptr, b_s_col_ptr.h_data, 5) &&
compare_result(expect_b_col_ptr, b_d_col_ptr.h_data, 5) &&
compare_result(expect_b_col_ptr, b_c_col_ptr.h_data, 5) &&
compare_result(expect_b_col_ptr, b_z_col_ptr.h_data, 5) &&
compare_result(expect_b_row_ind, b_s_row_ind.h_data, 7) &&
compare_result(expect_b_row_ind, b_d_row_ind.h_data, 7) &&
compare_result(expect_b_row_ind, b_c_row_ind.h_data, 7) &&
compare_result(expect_b_row_ind, b_z_row_ind.h_data, 7))
printf("Csr2csc 01 pass\n");
else {
printf("Csr2csc 01 fail\n");
test_passed = false;
}
}

int main() {
test_cusparseCsr2csc_00();
test_cusparseCsr2csc_01();

if (test_passed)
return 0;
return -1;
}
1 change: 1 addition & 0 deletions features/features.xml
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -261,6 +261,7 @@
<test testName="cusparse_5" configFile="config/TEMPLATE_cusparse_after_112_skip_double.xml" splitGroup="double"/>
<test testName="cusparse_6" configFile="config/TEMPLATE_cusparse_before_12_skip_double.xml" splitGroup="double"/>
<test testName="cusparse_7" configFile="config/TEMPLATE_cusparse_before_11_skip_double.xml" splitGroup="double"/>
<test testName="cusparse_8" configFile="config/TEMPLATE_cusparse_after_101_skip_double.xml" splitGroup="double"/>
<test testName="cusolver_test1" configFile="config/TEMPLATE_solver.xml" splitGroup="double"/>
<test testName="cusolver_test2" configFile="config/TEMPLATE_solver_skip80.xml" splitGroup="double"/>
<test testName="cusolver_test3" configFile="config/TEMPLATE_solver_11.xml" splitGroup="double"/>
Expand Down
Loading