mirror of
https://github.com/KhronosGroup/OpenCL-CTS.git
synced 2026-03-19 22:19:02 +00:00
In preparation of re-enabling -Wsign-compare globally, fix some instances of this warning. Signed-off-by: Sven van Haastregt <sven.vanhaastregt@arm.com>
526 lines
17 KiB
C++
526 lines
17 KiB
C++
//
|
|
// Copyright (c) 2017 The Khronos Group Inc.
|
|
//
|
|
// Licensed under the Apache License, Version 2.0 (the "License");
|
|
// you may not use this file except in compliance with the License.
|
|
// You may obtain a copy of the License at
|
|
//
|
|
// http://www.apache.org/licenses/LICENSE-2.0
|
|
//
|
|
// Unless required by applicable law or agreed to in writing, software
|
|
// distributed under the License is distributed on an "AS IS" BASIS,
|
|
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
// See the License for the specific language governing permissions and
|
|
// limitations under the License.
|
|
//
|
|
#include "harness/compat.h"
|
|
|
|
#include <stdio.h>
|
|
#include <string.h>
|
|
#include <sys/types.h>
|
|
#include <sys/stat.h>
|
|
|
|
#include <algorithm>
|
|
|
|
#include "procs.h"
|
|
|
|
|
|
const char *wg_broadcast_1D_kernel_code =
|
|
"__kernel void test_wg_broadcast_1D(global float *input, global float *output)\n"
|
|
"{\n"
|
|
" int tid = get_global_id(0);\n"
|
|
"\n"
|
|
" float result = work_group_broadcast(input[tid], get_group_id(0) % get_local_size(0));\n"
|
|
" output[tid] = result;\n"
|
|
"}\n";
|
|
|
|
const char *wg_broadcast_2D_kernel_code =
|
|
"__kernel void test_wg_broadcast_2D(global float *input, global float *output)\n"
|
|
"{\n"
|
|
" size_t tid_x = get_global_id(0);\n"
|
|
" size_t tid_y = get_global_id(1);\n"
|
|
" size_t x = get_group_id(0) % get_local_size(0);\n"
|
|
" size_t y = get_group_id(1) % get_local_size(1);\n"
|
|
"\n"
|
|
" size_t indx = (tid_y * get_global_size(0)) + tid_x;\n"
|
|
" float result = work_group_broadcast(input[indx], x, y);\n"
|
|
" output[indx] = result;\n"
|
|
"}\n";
|
|
|
|
const char *wg_broadcast_3D_kernel_code =
|
|
"__kernel void test_wg_broadcast_3D(global float *input, global float *output)\n"
|
|
"{\n"
|
|
" size_t tid_x = get_global_id(0);\n"
|
|
" size_t tid_y = get_global_id(1);\n"
|
|
" size_t tid_z = get_global_id(2);\n"
|
|
" size_t x = get_group_id(0) % get_local_size(0);\n"
|
|
" size_t y = get_group_id(1) % get_local_size(1);\n"
|
|
" size_t z = get_group_id(2) % get_local_size(2);\n"
|
|
"\n"
|
|
" size_t indx = (tid_z * get_global_size(1) * get_global_size(0)) + (tid_y * get_global_size(0)) + tid_x;\n"
|
|
" float result = work_group_broadcast(input[indx], x, y, z);\n"
|
|
" output[indx] = result;\n"
|
|
"}\n";
|
|
|
|
static int
|
|
verify_wg_broadcast_1D(float *inptr, float *outptr, size_t n, size_t wg_size)
|
|
{
|
|
size_t i, j;
|
|
size_t group_id;
|
|
|
|
for (i=0,group_id=0; i<n; i+=wg_size,group_id++)
|
|
{
|
|
size_t local_size = (n - i) > wg_size ? wg_size : (n - i);
|
|
float broadcast_result = inptr[i + (group_id % local_size)];
|
|
for (j=0; j<local_size; j++)
|
|
{
|
|
if ( broadcast_result != outptr[i+j] )
|
|
{
|
|
log_info("work_group_broadcast: Error at %u: expected = %f, got = %f\n", i+j, broadcast_result, outptr[i+j]);
|
|
return -1;
|
|
}
|
|
}
|
|
}
|
|
|
|
return 0;
|
|
}
|
|
|
|
static int
|
|
verify_wg_broadcast_2D(float *inptr, float *outptr, size_t nx, size_t ny, size_t wg_size_x, size_t wg_size_y)
|
|
{
|
|
size_t i, j, _i, _j;
|
|
size_t group_id_x, group_id_y;
|
|
|
|
for (i=0,group_id_y=0; i<ny; i+=wg_size_y,group_id_y++)
|
|
{
|
|
size_t y = group_id_y % wg_size_y;
|
|
size_t local_size_y = (ny-i) > wg_size_y ? wg_size_y : (ny-i);
|
|
for (_i=0; _i < local_size_y; _i++)
|
|
{
|
|
for (j=0,group_id_x=0; j<nx; j+=wg_size_x,group_id_x++)
|
|
{
|
|
size_t x = group_id_x % wg_size_x;
|
|
size_t local_size_x = (nx-j) > wg_size_x ? wg_size_x : (nx-j);
|
|
float broadcast_result = inptr[(i + y) * nx + (j + x)];
|
|
for (_j=0; _j < local_size_x; _j++)
|
|
{
|
|
size_t indx = (i + _i) * nx + (j + _j);
|
|
if ( broadcast_result != outptr[indx] )
|
|
{
|
|
log_info("work_group_broadcast: Error at (%u, %u): expected = %f, got = %f\n", j+_j, i+_i, broadcast_result, outptr[indx]);
|
|
return -1;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
return 0;
|
|
}
|
|
|
|
static int
|
|
verify_wg_broadcast_3D(float *inptr, float *outptr, size_t nx, size_t ny, size_t nz, size_t wg_size_x, size_t wg_size_y, size_t wg_size_z)
|
|
{
|
|
size_t i, j, k, _i, _j, _k;
|
|
size_t group_id_x, group_id_y, group_id_z;
|
|
|
|
for (i=0,group_id_z=0; i<nz; i+=wg_size_z,group_id_z++)
|
|
{
|
|
size_t z = group_id_z % wg_size_z;
|
|
size_t local_size_z = (nz-i) > wg_size_z ? wg_size_z : (nz-i);
|
|
for (_i=0; _i < local_size_z; _i++)
|
|
{
|
|
for (j=0,group_id_y=0; j<ny; j+=wg_size_y,group_id_y++)
|
|
{
|
|
size_t y = group_id_y % wg_size_y;
|
|
size_t local_size_y = (ny-j) > wg_size_y ? wg_size_y : (ny-j);
|
|
for (_j=0; _j < local_size_y; _j++)
|
|
{
|
|
for (k=0,group_id_x=0; k<nx; k+=wg_size_x,group_id_x++)
|
|
{
|
|
size_t x = group_id_x % wg_size_x;
|
|
size_t local_size_x = (nx-k) > wg_size_x ? wg_size_x : (nx-k);
|
|
float broadcast_result = inptr[(i + z) * ny * nz + (j + y) * nx + (k + x)];
|
|
for (_k=0; _k < local_size_x; _k++)
|
|
{
|
|
size_t indx = (i + _i) * ny * nx + (j + _j) * nx + (k + _k);
|
|
if ( broadcast_result != outptr[indx] )
|
|
{
|
|
log_info("work_group_broadcast: Error at (%u, %u, %u): expected = %f, got = %f\n", k+_k, j+_j, i+_i, broadcast_result, outptr[indx]);
|
|
return -1;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
return 0;
|
|
}
|
|
|
|
|
|
int
|
|
test_work_group_broadcast_1D(cl_device_id device, cl_context context, cl_command_queue queue, int n_elems)
|
|
{
|
|
cl_mem streams[2];
|
|
cl_float *input_ptr[1], *p;
|
|
cl_float *output_ptr;
|
|
cl_program program;
|
|
cl_kernel kernel;
|
|
size_t globalsize[1];
|
|
size_t wg_size[1];
|
|
size_t num_elements;
|
|
int err;
|
|
MTdata d;
|
|
|
|
err = create_single_kernel_helper(context, &program, &kernel, 1,
|
|
&wg_broadcast_1D_kernel_code,
|
|
"test_wg_broadcast_1D");
|
|
if (err)
|
|
return -1;
|
|
|
|
// "wg_size" is limited to that of the first dimension as only a 1DRange is executed.
|
|
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,
|
|
sizeof(cl_float) * num_elements, NULL, NULL);
|
|
if (!streams[0])
|
|
{
|
|
log_error("clCreateBuffer failed\n");
|
|
return -1;
|
|
}
|
|
|
|
streams[1] = clCreateBuffer(context, CL_MEM_READ_WRITE,
|
|
sizeof(cl_float) * num_elements, NULL, NULL);
|
|
if (!streams[1])
|
|
{
|
|
log_error("clCreateBuffer failed\n");
|
|
return -1;
|
|
}
|
|
|
|
p = input_ptr[0];
|
|
d = init_genrand( gRandomSeed );
|
|
for (size_t i = 0; i < num_elements; i++)
|
|
{
|
|
p[i] = get_random_float((float)(-100000.f * M_PI), (float)(100000.f * M_PI) ,d);
|
|
}
|
|
free_mtdata(d); d = NULL;
|
|
|
|
err = clEnqueueWriteBuffer( queue, streams[0], true, 0, sizeof(cl_float)*num_elements, (void *)input_ptr[0], 0, NULL, NULL );
|
|
if (err != CL_SUCCESS)
|
|
{
|
|
log_error("clWriteArray failed\n");
|
|
return -1;
|
|
}
|
|
|
|
err = clSetKernelArg(kernel, 0, sizeof streams[0], &streams[0] );
|
|
err |= clSetKernelArg(kernel, 1, sizeof streams[1], &streams[1] );
|
|
if (err != CL_SUCCESS)
|
|
{
|
|
log_error("clSetKernelArgs failed\n");
|
|
return -1;
|
|
}
|
|
|
|
// Line below is troublesome...
|
|
globalsize[0] = (size_t)n_elems;
|
|
err = clEnqueueNDRangeKernel( queue, kernel, 1, NULL, globalsize, wg_size, 0, NULL, NULL );
|
|
if (err != CL_SUCCESS)
|
|
{
|
|
log_error("clEnqueueNDRangeKernel failed\n");
|
|
return -1;
|
|
}
|
|
|
|
cl_uint dead = 0xdeaddead;
|
|
memset_pattern4(output_ptr, &dead, sizeof(cl_float)*num_elements);
|
|
err = clEnqueueReadBuffer( queue, streams[1], true, 0, sizeof(cl_float)*num_elements, (void *)output_ptr, 0, NULL, NULL );
|
|
if (err != CL_SUCCESS)
|
|
{
|
|
log_error("clEnqueueReadBuffer failed\n");
|
|
return -1;
|
|
}
|
|
|
|
if (verify_wg_broadcast_1D(input_ptr[0], output_ptr, num_elements, wg_size[0]))
|
|
{
|
|
log_error("work_group_broadcast_1D test failed\n");
|
|
return -1;
|
|
}
|
|
log_info("work_group_broadcast_1D test passed\n");
|
|
|
|
clReleaseMemObject(streams[0]);
|
|
clReleaseMemObject(streams[1]);
|
|
clReleaseKernel(kernel);
|
|
clReleaseProgram(program);
|
|
free(input_ptr[0]);
|
|
free(output_ptr);
|
|
|
|
return err;
|
|
}
|
|
|
|
|
|
int
|
|
test_work_group_broadcast_2D(cl_device_id device, cl_context context, cl_command_queue queue, int n_elems)
|
|
{
|
|
cl_mem streams[2];
|
|
cl_float *input_ptr[1], *p;
|
|
cl_float *output_ptr;
|
|
cl_program program;
|
|
cl_kernel kernel;
|
|
size_t globalsize[2];
|
|
size_t localsize[2];
|
|
size_t wg_size[1];
|
|
size_t num_workgroups;
|
|
size_t num_elements;
|
|
int err;
|
|
MTdata d;
|
|
|
|
err = create_single_kernel_helper(context, &program, &kernel, 1,
|
|
&wg_broadcast_2D_kernel_code,
|
|
"test_wg_broadcast_2D");
|
|
if (err)
|
|
return -1;
|
|
|
|
err = clGetKernelWorkGroupInfo( kernel, device, CL_KERNEL_WORK_GROUP_SIZE, sizeof(size_t), wg_size, NULL);
|
|
if (err)
|
|
return -1;
|
|
|
|
if (wg_size[0] >= 256)
|
|
{
|
|
localsize[0] = localsize[1] = 16;
|
|
}
|
|
else if (wg_size[0] >=64)
|
|
{
|
|
localsize[0] = localsize[1] = 8;
|
|
}
|
|
else if (wg_size[0] >= 16)
|
|
{
|
|
localsize[0] = localsize[1] = 4;
|
|
}
|
|
else
|
|
{
|
|
localsize[0] = localsize[1] = 1;
|
|
}
|
|
|
|
num_workgroups = std::max(n_elems / wg_size[0], (size_t)16);
|
|
globalsize[0] = num_workgroups * localsize[0];
|
|
globalsize[1] = num_workgroups * localsize[1];
|
|
num_elements = globalsize[0] * globalsize[1];
|
|
|
|
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,
|
|
sizeof(cl_float) * num_elements, NULL, NULL);
|
|
if (!streams[0])
|
|
{
|
|
log_error("clCreateBuffer failed\n");
|
|
return -1;
|
|
}
|
|
|
|
streams[1] = clCreateBuffer(context, CL_MEM_READ_WRITE,
|
|
sizeof(cl_float) * num_elements, NULL, NULL);
|
|
if (!streams[1])
|
|
{
|
|
log_error("clCreateBuffer failed\n");
|
|
return -1;
|
|
}
|
|
|
|
p = input_ptr[0];
|
|
d = init_genrand( gRandomSeed );
|
|
for (size_t i = 0; i < num_elements; i++)
|
|
{
|
|
p[i] = get_random_float((float)(-100000.f * M_PI), (float)(100000.f * M_PI) ,d);
|
|
}
|
|
free_mtdata(d); d = NULL;
|
|
|
|
err = clEnqueueWriteBuffer( queue, streams[0], true, 0, sizeof(cl_float)*num_elements, (void *)input_ptr[0], 0, NULL, NULL );
|
|
if (err != CL_SUCCESS)
|
|
{
|
|
log_error("clWriteArray failed\n");
|
|
return -1;
|
|
}
|
|
|
|
err = clSetKernelArg(kernel, 0, sizeof streams[0], &streams[0] );
|
|
err |= clSetKernelArg(kernel, 1, sizeof streams[1], &streams[1] );
|
|
if (err != CL_SUCCESS)
|
|
{
|
|
log_error("clSetKernelArgs failed\n");
|
|
return -1;
|
|
}
|
|
|
|
err = clEnqueueNDRangeKernel( queue, kernel, 2, NULL, globalsize, localsize, 0, NULL, NULL );
|
|
if (err != CL_SUCCESS)
|
|
{
|
|
log_error("clEnqueueNDRangeKernel failed\n");
|
|
return -1;
|
|
}
|
|
|
|
cl_uint dead = 0xdeaddead;
|
|
memset_pattern4(output_ptr, &dead, sizeof(cl_float)*num_elements);
|
|
err = clEnqueueReadBuffer( queue, streams[1], true, 0, sizeof(cl_float)*num_elements, (void *)output_ptr, 0, NULL, NULL );
|
|
if (err != CL_SUCCESS)
|
|
{
|
|
log_error("clEnqueueReadBuffer failed\n");
|
|
return -1;
|
|
}
|
|
|
|
if (verify_wg_broadcast_2D(input_ptr[0], output_ptr, globalsize[0], globalsize[1], localsize[0], localsize[1]))
|
|
{
|
|
log_error("work_group_broadcast_2D test failed\n");
|
|
return -1;
|
|
}
|
|
log_info("work_group_broadcast_2D test passed\n");
|
|
|
|
clReleaseMemObject(streams[0]);
|
|
clReleaseMemObject(streams[1]);
|
|
clReleaseKernel(kernel);
|
|
clReleaseProgram(program);
|
|
free(input_ptr[0]);
|
|
free(output_ptr);
|
|
|
|
return err;
|
|
}
|
|
|
|
|
|
int
|
|
test_work_group_broadcast_3D(cl_device_id device, cl_context context, cl_command_queue queue, int n_elems)
|
|
{
|
|
cl_mem streams[2];
|
|
cl_float *input_ptr[1], *p;
|
|
cl_float *output_ptr;
|
|
cl_program program;
|
|
cl_kernel kernel;
|
|
size_t globalsize[3];
|
|
size_t localsize[3];
|
|
size_t wg_size[1];
|
|
size_t num_workgroups;
|
|
size_t num_elements;
|
|
int err;
|
|
MTdata d;
|
|
|
|
err = create_single_kernel_helper(context, &program, &kernel, 1,
|
|
&wg_broadcast_3D_kernel_code,
|
|
"test_wg_broadcast_3D");
|
|
if (err)
|
|
return -1;
|
|
|
|
err = clGetKernelWorkGroupInfo( kernel, device, CL_KERNEL_WORK_GROUP_SIZE, sizeof(size_t), wg_size, NULL);
|
|
if (err)
|
|
return -1;
|
|
|
|
if (wg_size[0] >=512)
|
|
{
|
|
localsize[0] = localsize[1] = localsize[2] = 8;
|
|
}
|
|
else if (wg_size[0] >= 64)
|
|
{
|
|
localsize[0] = localsize[1] = localsize[2] = 4;
|
|
}
|
|
else if (wg_size[0] >= 8)
|
|
{
|
|
localsize[0] = localsize[1] = localsize[2] = 2;
|
|
}
|
|
else
|
|
{
|
|
localsize[0] = localsize[1] = localsize[2] = 1;
|
|
}
|
|
|
|
num_workgroups = std::max(n_elems / wg_size[0], (size_t)8);
|
|
globalsize[0] = num_workgroups * localsize[0];
|
|
globalsize[1] = num_workgroups * localsize[1];
|
|
globalsize[2] = num_workgroups * localsize[2];
|
|
num_elements = globalsize[0] * globalsize[1] * globalsize[2];
|
|
|
|
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,
|
|
sizeof(cl_float) * num_elements, NULL, NULL);
|
|
if (!streams[0])
|
|
{
|
|
log_error("clCreateBuffer failed\n");
|
|
return -1;
|
|
}
|
|
|
|
streams[1] = clCreateBuffer(context, CL_MEM_READ_WRITE,
|
|
sizeof(cl_float) * num_elements, NULL, NULL);
|
|
if (!streams[1])
|
|
{
|
|
log_error("clCreateBuffer failed\n");
|
|
return -1;
|
|
}
|
|
|
|
p = input_ptr[0];
|
|
d = init_genrand( gRandomSeed );
|
|
for (size_t i = 0; i < num_elements; i++)
|
|
{
|
|
p[i] = get_random_float((float)(-100000.f * M_PI), (float)(100000.f * M_PI) ,d);
|
|
}
|
|
free_mtdata(d); d = NULL;
|
|
|
|
err = clEnqueueWriteBuffer( queue, streams[0], true, 0, sizeof(cl_float)*num_elements, (void *)input_ptr[0], 0, NULL, NULL );
|
|
if (err != CL_SUCCESS)
|
|
{
|
|
log_error("clWriteArray failed\n");
|
|
return -1;
|
|
}
|
|
|
|
err = clSetKernelArg(kernel, 0, sizeof streams[0], &streams[0] );
|
|
err |= clSetKernelArg(kernel, 1, sizeof streams[1], &streams[1] );
|
|
if (err != CL_SUCCESS)
|
|
{
|
|
log_error("clSetKernelArgs failed\n");
|
|
return -1;
|
|
}
|
|
|
|
err = clEnqueueNDRangeKernel( queue, kernel, 3, NULL, globalsize, localsize, 0, NULL, NULL );
|
|
if (err != CL_SUCCESS)
|
|
{
|
|
log_error("clEnqueueNDRangeKernel failed\n");
|
|
return -1;
|
|
}
|
|
|
|
cl_uint dead = 0xdeaddead;
|
|
memset_pattern4(output_ptr, &dead, sizeof(cl_float)*num_elements);
|
|
err = clEnqueueReadBuffer( queue, streams[1], true, 0, sizeof(cl_float)*num_elements, (void *)output_ptr, 0, NULL, NULL );
|
|
if (err != CL_SUCCESS)
|
|
{
|
|
log_error("clEnqueueReadBuffer failed\n");
|
|
return -1;
|
|
}
|
|
|
|
if (verify_wg_broadcast_3D(input_ptr[0], output_ptr, globalsize[0], globalsize[1], globalsize[2], localsize[0], localsize[1], localsize[2]))
|
|
{
|
|
log_error("work_group_broadcast_3D test failed\n");
|
|
return -1;
|
|
}
|
|
log_info("work_group_broadcast_3D test passed\n");
|
|
|
|
clReleaseMemObject(streams[0]);
|
|
clReleaseMemObject(streams[1]);
|
|
clReleaseKernel(kernel);
|
|
clReleaseProgram(program);
|
|
free(input_ptr[0]);
|
|
free(output_ptr);
|
|
|
|
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;
|
|
}
|
|
|
|
|