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Migrate workgroups suite to the new test registration framework (#2308)

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Contributes to #2181

Signed-off-by: Kévin Petit <kpet@free.fr>
This commit is contained in:
Kévin Petit
2025-03-11 22:00:38 +00:00
committed by GitHub
parent 641ffeaa67
commit bb604702a5
7 changed files with 133 additions and 261 deletions
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50
test_conformance/workgroups/test_wg_broadcast.cpp
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@@ -22,8 +22,7 @@
#include <algorithm>
#include "procs.h"
#include "testBase.h"
const char *wg_broadcast_1D_kernel_code =
"__kernel void test_wg_broadcast_1D(global float *input, global float *output)\n"
@@ -168,8 +167,7 @@ verify_wg_broadcast_3D(float *inptr, float *outptr, size_t nx, size_t ny, size_t
}
int
test_work_group_broadcast_1D(cl_device_id device, cl_context context, cl_command_queue queue, int n_elems)
REGISTER_TEST_VERSION(work_group_broadcast_1D, Version(2, 0))
{
cl_mem streams[2];
cl_float *input_ptr[1], *p;
@@ -177,8 +175,7 @@ test_work_group_broadcast_1D(cl_device_id device, cl_context context, cl_command
cl_program program;
cl_kernel kernel;
size_t globalsize[1];
size_t wg_size[1];
size_t num_elements;
size_t wg_size[1];
int err;
MTdata d;
@@ -192,8 +189,6 @@ test_work_group_broadcast_1D(cl_device_id device, cl_context context, cl_command
err = get_max_allowed_1d_work_group_size_on_device(device, kernel, wg_size);
test_error(err, "get_max_allowed_1d_work_group_size_on_device failed");
num_elements = n_elems;
input_ptr[0] = (cl_float*)malloc(sizeof(cl_float) * num_elements);
output_ptr = (cl_float*)malloc(sizeof(cl_float) * num_elements);
streams[0] = clCreateBuffer(context, CL_MEM_READ_WRITE,
@@ -214,7 +209,7 @@ test_work_group_broadcast_1D(cl_device_id device, cl_context context, cl_command
p = input_ptr[0];
d = init_genrand( gRandomSeed );
for (size_t i = 0; i < num_elements; i++)
for (int i = 0; i < num_elements; i++)
{
p[i] = get_random_float((float)(-100000.f * M_PI), (float)(100000.f * M_PI) ,d);
}
@@ -236,7 +231,7 @@ test_work_group_broadcast_1D(cl_device_id device, cl_context context, cl_command
}
// Line below is troublesome...
globalsize[0] = (size_t)n_elems;
globalsize[0] = (size_t)num_elements;
err = clEnqueueNDRangeKernel( queue, kernel, 1, NULL, globalsize, wg_size, 0, NULL, NULL );
if (err != CL_SUCCESS)
{
@@ -271,8 +266,7 @@ test_work_group_broadcast_1D(cl_device_id device, cl_context context, cl_command
}
int
test_work_group_broadcast_2D(cl_device_id device, cl_context context, cl_command_queue queue, int n_elems)
REGISTER_TEST_VERSION(work_group_broadcast_2D, Version(2, 0))
{
cl_mem streams[2];
cl_float *input_ptr[1], *p;
@@ -282,8 +276,7 @@ test_work_group_broadcast_2D(cl_device_id device, cl_context context, cl_command
size_t globalsize[2];
size_t localsize[2];
size_t wg_size[1];
size_t num_workgroups;
size_t num_elements;
size_t num_workgroups;
int err;
MTdata d;
@@ -314,7 +307,7 @@ test_work_group_broadcast_2D(cl_device_id device, cl_context context, cl_command
localsize[0] = localsize[1] = 1;
}
num_workgroups = std::max(n_elems / wg_size[0], (size_t)16);
num_workgroups = std::max(num_elements / wg_size[0], (size_t)16);
globalsize[0] = num_workgroups * localsize[0];
globalsize[1] = num_workgroups * localsize[1];
num_elements = globalsize[0] * globalsize[1];
@@ -339,7 +332,7 @@ test_work_group_broadcast_2D(cl_device_id device, cl_context context, cl_command
p = input_ptr[0];
d = init_genrand( gRandomSeed );
for (size_t i = 0; i < num_elements; i++)
for (int i = 0; i < num_elements; i++)
{
p[i] = get_random_float((float)(-100000.f * M_PI), (float)(100000.f * M_PI) ,d);
}
@@ -394,8 +387,7 @@ test_work_group_broadcast_2D(cl_device_id device, cl_context context, cl_command
}
int
test_work_group_broadcast_3D(cl_device_id device, cl_context context, cl_command_queue queue, int n_elems)
REGISTER_TEST_VERSION(work_group_broadcast_3D, Version(2, 0))
{
cl_mem streams[2];
cl_float *input_ptr[1], *p;
@@ -405,8 +397,7 @@ test_work_group_broadcast_3D(cl_device_id device, cl_context context, cl_command
size_t globalsize[3];
size_t localsize[3];
size_t wg_size[1];
size_t num_workgroups;
size_t num_elements;
size_t num_workgroups;
int err;
MTdata d;
@@ -437,7 +428,7 @@ test_work_group_broadcast_3D(cl_device_id device, cl_context context, cl_command
localsize[0] = localsize[1] = localsize[2] = 1;
}
num_workgroups = std::max(n_elems / wg_size[0], (size_t)8);
num_workgroups = std::max(num_elements / wg_size[0], (size_t)8);
globalsize[0] = num_workgroups * localsize[0];
globalsize[1] = num_workgroups * localsize[1];
globalsize[2] = num_workgroups * localsize[2];
@@ -463,7 +454,7 @@ test_work_group_broadcast_3D(cl_device_id device, cl_context context, cl_command
p = input_ptr[0];
d = init_genrand( gRandomSeed );
for (size_t i = 0; i < num_elements; i++)
for (int i = 0; i < num_elements; i++)
{
p[i] = get_random_float((float)(-100000.f * M_PI), (float)(100000.f * M_PI) ,d);
}
@@ -516,18 +507,3 @@ test_work_group_broadcast_3D(cl_device_id device, cl_context context, cl_command
return err;
}
int
test_work_group_broadcast(cl_device_id device, cl_context context, cl_command_queue queue, int n_elems)
{
int err;
err = test_work_group_broadcast_1D(device, context, queue, n_elems);
if (err) return err;
err = test_work_group_broadcast_2D(device, context, queue, n_elems);
if (err) return err;
return err;
}