mirror of
https://github.com/KhronosGroup/OpenCL-CTS.git
synced 2026-03-19 06:09:01 +00:00
* api, atomics: remove unnecessary cl_mem_flags casts Instances in api, atomics, buffers and c11_atomics suites Contributes #759 Signed-off-by: Ellen Norris-Thompson <ellen.norris-thompson@arm.com> * basic: remove unnecessary cl_mem_flags casts Contributes #759 Signed-off-by: Ellen Norris-Thompson <ellen.norris-thompson@arm.com> * spir, thread_dimensions: remove unnecessary cl_mem_flags casts Instances in spir, thread_dimensions and workgroups tests Contributes #759 Signed-off-by: Ellen Norris-Thompson <ellen.norris-thompson@arm.com> * profiling, relationals: remove unnecessary cl_mem_flags casts Includes relationals, profiling, muliple_device_context, integer_ops tests Contributes #759 Signed-off-by: Ellen Norris-Thompson <ellen.norris-thompson@arm.com> * clcpp: remove unnecessary cl_mem_flags casts Contibutes #759 Signed-off-by: Ellen Norris-Thompson <ellen.norris-thompson@arm.com> * events, geometrics: remove unnecessary cl_mem_flags casts Includes events, geometrics, gl and images tests Contributes #759 Signed-off-by: Ellen Norris-Thompson <ellen.norris-thompson@arm.com> * commonfs, compiler: remove unnecessary cl_mem_flags casts Includes cast removal in commonfs, compiler and device_partition tests Fixes #759 Signed-off-by: Ellen Norris-Thompson <ellen.norris-thompson@arm.com> * Fix up formatting Signed-off-by: Ellen Norris-Thompson <ellen.norris-thompson@arm.com>
461 lines
16 KiB
C++
461 lines
16 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.
|
|
//
|
|
#ifndef TEST_CONFORMANCE_CLCPP_WG_TEST_WG_BROADCAST_HPP
|
|
#define TEST_CONFORMANCE_CLCPP_WG_TEST_WG_BROADCAST_HPP
|
|
|
|
#include <vector>
|
|
#include <limits>
|
|
#include <algorithm>
|
|
|
|
// Common for all OpenCL C++ tests
|
|
#include "../common.hpp"
|
|
// Common for tests of work-group functions
|
|
#include "common.hpp"
|
|
|
|
// -----------------------------------------------------------------------------------
|
|
// ------------- ONLY FOR OPENCL 22 CONFORMANCE TEST 22 DEVELOPMENT ------------------
|
|
// -----------------------------------------------------------------------------------
|
|
#if defined(DEVELOPMENT) && defined(USE_OPENCLC_KERNELS)
|
|
std::string generate_wg_broadcast_1D_kernel_code()
|
|
{
|
|
return
|
|
"__kernel void test_wg_broadcast(global uint *input, global uint *output)\n"
|
|
"{\n"
|
|
" ulong tid = get_global_id(0);\n"
|
|
" uint result = work_group_broadcast(input[tid], get_group_id(0) % get_local_size(0));\n"
|
|
" output[tid] = result;\n"
|
|
"}\n";
|
|
}
|
|
std::string generate_wg_broadcast_2D_kernel_code()
|
|
{
|
|
return
|
|
"__kernel void test_wg_broadcast(global uint *input, global uint *output)\n"
|
|
"{\n"
|
|
" ulong tid_x = get_global_id(0);\n"
|
|
" ulong 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"
|
|
" size_t idx = (tid_y * get_global_size(0)) + tid_x;\n"
|
|
" uint result = work_group_broadcast(input[idx], x, y);\n"
|
|
" output[idx] = result;\n"
|
|
"}\n";
|
|
}
|
|
std::string generate_wg_broadcast_3D_kernel_code()
|
|
{
|
|
return
|
|
"__kernel void test_wg_broadcast(global uint *input, global uint *output)\n"
|
|
"{\n"
|
|
" ulong tid_x = get_global_id(0);\n"
|
|
" ulong tid_y = get_global_id(1);\n"
|
|
" ulong 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"
|
|
" ulong idx = (tid_z * get_global_size(1) * get_global_size(0)) + (tid_y * get_global_size(0)) + tid_x;\n"
|
|
" uint result = work_group_broadcast(input[idx], x, y, z);\n"
|
|
" output[idx] = result;\n"
|
|
"}\n";
|
|
}
|
|
#else
|
|
std::string generate_wg_broadcast_1D_kernel_code()
|
|
{
|
|
return "#include <opencl_memory>\n"
|
|
"#include <opencl_work_item>\n"
|
|
"#include <opencl_work_group>\n"
|
|
"using namespace cl;\n"
|
|
"__kernel void test_wg_broadcast(global_ptr<uint[]> input, global_ptr<uint[]> output)\n"
|
|
"{\n"
|
|
" ulong tid = get_global_id(0);\n"
|
|
" uint result = work_group_broadcast(input[tid], get_group_id(0) % get_local_size(0));\n"
|
|
" output[tid] = result;\n"
|
|
"}\n";
|
|
}
|
|
std::string generate_wg_broadcast_2D_kernel_code()
|
|
{
|
|
return "#include <opencl_memory>\n"
|
|
"#include <opencl_work_item>\n"
|
|
"#include <opencl_work_group>\n"
|
|
"using namespace cl;\n"
|
|
"__kernel void test_wg_broadcast(global_ptr<uint[]> input, global_ptr<uint[]> output)\n"
|
|
"{\n"
|
|
" ulong tid_x = get_global_id(0);\n"
|
|
" ulong 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"
|
|
" size_t idx = (tid_y * get_global_size(0)) + tid_x;\n"
|
|
" uint result = work_group_broadcast(input[idx], x, y);\n"
|
|
" output[idx] = result;\n"
|
|
"}\n";
|
|
}
|
|
std::string generate_wg_broadcast_3D_kernel_code()
|
|
{
|
|
return "#include <opencl_memory>\n"
|
|
"#include <opencl_work_item>\n"
|
|
"#include <opencl_work_group>\n"
|
|
"using namespace cl;\n"
|
|
"__kernel void test_wg_broadcast(global_ptr<uint[]> input, global_ptr<uint[]> output)\n"
|
|
"{\n"
|
|
" ulong tid_x = get_global_id(0);\n"
|
|
" ulong tid_y = get_global_id(1);\n"
|
|
" ulong 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"
|
|
" ulong idx = (tid_z * get_global_size(1) * get_global_size(0)) + (tid_y * get_global_size(0)) + tid_x;\n"
|
|
" uint result = work_group_broadcast(input[idx], x, y, z);\n"
|
|
" output[idx] = result;\n"
|
|
"}\n";
|
|
}
|
|
#endif
|
|
|
|
int
|
|
verify_wg_broadcast_1D(const std::vector<cl_uint> &in, const std::vector<cl_uint> &out, 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++)
|
|
{
|
|
int local_size = (n-i) > wg_size ? wg_size : (n-i);
|
|
cl_uint broadcast_result = in[i + (group_id % local_size)];
|
|
for (j=0; j<local_size; j++)
|
|
{
|
|
if ( broadcast_result != out[i+j] )
|
|
{
|
|
log_info("work_group_broadcast: Error at %lu: expected = %u, got = %u\n", i+j, broadcast_result, out[i+j]);
|
|
return -1;
|
|
}
|
|
}
|
|
}
|
|
|
|
return CL_SUCCESS;
|
|
}
|
|
|
|
int
|
|
verify_wg_broadcast_2D(const std::vector<cl_uint> &in, const std::vector<cl_uint> &out,
|
|
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);
|
|
cl_uint broadcast_result = in[(i + y) * nx + (j + x)];
|
|
for (_j=0; _j < local_size_x; _j++)
|
|
{
|
|
size_t indx = (i + _i) * nx + (j + _j);
|
|
if ( broadcast_result != out[indx] )
|
|
{
|
|
log_info("%lu\n", indx);
|
|
log_info("%lu\n", ((i + y) * nx + (j + x)));
|
|
log_info("%lu\n", out.size());
|
|
log_info("work_group_broadcast: Error at (%lu, %lu): expected = %u, got = %u\n", j+_j, i+_i, broadcast_result, out[indx]);
|
|
return -1;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
return CL_SUCCESS;
|
|
}
|
|
|
|
int
|
|
verify_wg_broadcast_3D(const std::vector<cl_uint> &in, const std::vector<cl_uint> &out,
|
|
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);
|
|
cl_uint broadcast_result = in[(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 != out[indx] )
|
|
{
|
|
log_info(
|
|
"work_group_broadcast: Error at (%lu, %lu, %lu): expected = %u, got = %u\n",
|
|
k+_k, j+_j, i+_i,
|
|
broadcast_result, out[indx]);
|
|
return -1;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
return CL_SUCCESS;
|
|
}
|
|
|
|
std::vector<cl_uint> generate_input_wg_broadcast(size_t count, size_t wg_size)
|
|
{
|
|
std::vector<cl_uint> input(count, cl_uint(0));
|
|
size_t j = wg_size;
|
|
for(size_t i = 0; i < count; i++)
|
|
{
|
|
input[i] = static_cast<cl_uint>(j);
|
|
j--;
|
|
if(j == 0)
|
|
{
|
|
j = wg_size;
|
|
}
|
|
}
|
|
return input;
|
|
}
|
|
|
|
std::vector<cl_uint> generate_output_wg_broadcast(size_t count, size_t wg_size)
|
|
{
|
|
(void) wg_size;
|
|
return std::vector<cl_uint>(count, cl_uint(1));
|
|
}
|
|
|
|
int work_group_broadcast(cl_device_id device, cl_context context, cl_command_queue queue, size_t count, size_t dim)
|
|
{
|
|
cl_mem buffers[2];
|
|
cl_program program;
|
|
cl_kernel kernel;
|
|
size_t flat_wg_size;
|
|
size_t wg_size[] = { 1, 1, 1};
|
|
size_t work_size[] = { 1, 1, 1};
|
|
int err;
|
|
|
|
// Get kernel source code
|
|
std::string code_str;
|
|
if(dim > 2) code_str = generate_wg_broadcast_3D_kernel_code();
|
|
else if(dim > 1) code_str = generate_wg_broadcast_2D_kernel_code();
|
|
else code_str = generate_wg_broadcast_1D_kernel_code();
|
|
|
|
// -----------------------------------------------------------------------------------
|
|
// ------------- ONLY FOR OPENCL 22 CONFORMANCE TEST 22 DEVELOPMENT ------------------
|
|
// -----------------------------------------------------------------------------------
|
|
// Only OpenCL C++ to SPIR-V compilation
|
|
#if defined(DEVELOPMENT) && defined(ONLY_SPIRV_COMPILATION)
|
|
err = create_opencl_kernel(context, &program, &kernel, code_str, "test_wg_broadcast");
|
|
RETURN_ON_ERROR(err)
|
|
return err;
|
|
// Use OpenCL C kernels instead of OpenCL C++ kernels (test C++ host code)
|
|
#elif defined(DEVELOPMENT) && defined(USE_OPENCLC_KERNELS)
|
|
err = create_opencl_kernel(context, &program, &kernel, code_str, "test_wg_broadcast", "-cl-std=CL2.0", false);
|
|
RETURN_ON_ERROR(err)
|
|
#else
|
|
err = create_opencl_kernel(context, &program, &kernel, code_str, "test_wg_broadcast");
|
|
RETURN_ON_ERROR(err)
|
|
#endif
|
|
|
|
// Get max flat workgroup size
|
|
err = clGetKernelWorkGroupInfo(kernel, device, CL_KERNEL_WORK_GROUP_SIZE, sizeof(size_t), &flat_wg_size, NULL);
|
|
RETURN_ON_CL_ERROR(err, "clGetKernelWorkGroupInfo")
|
|
|
|
// Set local work size
|
|
wg_size[0] = flat_wg_size;
|
|
if(dim > 2)
|
|
{
|
|
if (flat_wg_size >=512)
|
|
{
|
|
wg_size[0] = wg_size[1] = wg_size[2] = 8;
|
|
}
|
|
else if (flat_wg_size >= 64)
|
|
{
|
|
wg_size[0] = wg_size[1] = wg_size[2] = 4;
|
|
}
|
|
else if (flat_wg_size >= 8)
|
|
{
|
|
wg_size[0] = wg_size[1] = wg_size[2] = 2;
|
|
}
|
|
else
|
|
{
|
|
wg_size[0] = wg_size[1] = wg_size[2] = 1;
|
|
}
|
|
}
|
|
else if(dim > 1)
|
|
{
|
|
if (flat_wg_size >= 256)
|
|
{
|
|
wg_size[0] = wg_size[1] = 16;
|
|
}
|
|
else if (flat_wg_size >=64)
|
|
{
|
|
wg_size[0] = wg_size[1] = 8;
|
|
}
|
|
else if (flat_wg_size >= 16)
|
|
{
|
|
wg_size[0] = wg_size[1] = 4;
|
|
}
|
|
else
|
|
{
|
|
wg_size[0] = wg_size[1] = 1;
|
|
}
|
|
}
|
|
|
|
// Calculate flat local work size
|
|
flat_wg_size = wg_size[0];
|
|
if(dim > 1) flat_wg_size *= wg_size[1];
|
|
if(dim > 2) flat_wg_size *= wg_size[2];
|
|
|
|
// Calculate global work size
|
|
size_t flat_work_size = count;
|
|
// 3D
|
|
if(dim > 2)
|
|
{
|
|
size_t wg_number = static_cast<size_t>(
|
|
std::ceil(static_cast<double>(count / 3) / (wg_size[0] * wg_size[1] * wg_size[2]))
|
|
);
|
|
work_size[0] = wg_number * wg_size[0];
|
|
work_size[1] = wg_number * wg_size[1];
|
|
work_size[2] = wg_number * wg_size[2];
|
|
flat_work_size = work_size[0] * work_size[1] * work_size[2];
|
|
}
|
|
// 2D
|
|
else if(dim > 1)
|
|
{
|
|
size_t wg_number = static_cast<size_t>(
|
|
std::ceil(static_cast<double>(count / 2) / (wg_size[0] * wg_size[1]))
|
|
);
|
|
work_size[0] = wg_number * wg_size[0];
|
|
work_size[1] = wg_number * wg_size[1];
|
|
flat_work_size = work_size[0] * work_size[1];
|
|
}
|
|
// 1D
|
|
else
|
|
{
|
|
size_t wg_number = static_cast<size_t>(
|
|
std::ceil(static_cast<double>(count) / wg_size[0])
|
|
);
|
|
flat_work_size = wg_number * wg_size[0];
|
|
work_size[0] = flat_work_size;
|
|
}
|
|
|
|
std::vector<cl_uint> input = generate_input_wg_broadcast(flat_work_size, flat_wg_size);
|
|
std::vector<cl_uint> output = generate_output_wg_broadcast(flat_work_size, flat_wg_size);
|
|
|
|
buffers[0] = clCreateBuffer(context, CL_MEM_READ_WRITE,
|
|
sizeof(cl_uint) * input.size(), NULL, &err);
|
|
RETURN_ON_CL_ERROR(err, "clCreateBuffer");
|
|
|
|
buffers[1] = clCreateBuffer(context, CL_MEM_READ_WRITE,
|
|
sizeof(cl_uint) * output.size(), NULL, &err);
|
|
RETURN_ON_CL_ERROR(err, "clCreateBuffer");
|
|
|
|
err = clEnqueueWriteBuffer(
|
|
queue, buffers[0], CL_TRUE, 0, sizeof(cl_uint) * input.size(),
|
|
static_cast<void *>(input.data()), 0, NULL, NULL
|
|
);
|
|
RETURN_ON_CL_ERROR(err, "clEnqueueWriteBuffer");
|
|
|
|
err = clSetKernelArg(kernel, 0, sizeof(buffers[0]), &buffers[0]);
|
|
err |= clSetKernelArg(kernel, 1, sizeof(buffers[1]), &buffers[1]);
|
|
RETURN_ON_CL_ERROR(err, "clSetKernelArg");
|
|
|
|
err = clEnqueueNDRangeKernel(queue, kernel, dim, NULL, work_size, wg_size, 0, NULL, NULL);
|
|
RETURN_ON_CL_ERROR(err, "clEnqueueNDRangeKernel");
|
|
|
|
err = clEnqueueReadBuffer(
|
|
queue, buffers[1], CL_TRUE, 0, sizeof(cl_uint) * output.size(),
|
|
static_cast<void *>(output.data()), 0, NULL, NULL
|
|
);
|
|
RETURN_ON_CL_ERROR(err, "clEnqueueReadBuffer");
|
|
|
|
int result = CL_SUCCESS;
|
|
// 3D
|
|
if(dim > 2)
|
|
{
|
|
result = verify_wg_broadcast_3D(
|
|
input, output,
|
|
work_size[0], work_size[1], work_size[2],
|
|
wg_size[0], wg_size[1], wg_size[2]
|
|
);
|
|
}
|
|
// 2D
|
|
else if(dim > 1)
|
|
{
|
|
result = verify_wg_broadcast_2D(
|
|
input, output,
|
|
work_size[0], work_size[1],
|
|
wg_size[0], wg_size[1]
|
|
);
|
|
}
|
|
// 1D
|
|
else
|
|
{
|
|
result = verify_wg_broadcast_1D(
|
|
input, output,
|
|
work_size[0],
|
|
wg_size[0]
|
|
);
|
|
}
|
|
|
|
RETURN_ON_ERROR_MSG(result, "work_group_broadcast_%luD failed", dim);
|
|
log_info("work_group_broadcast_%luD passed\n", dim);
|
|
|
|
clReleaseMemObject(buffers[0]);
|
|
clReleaseMemObject(buffers[1]);
|
|
clReleaseKernel(kernel);
|
|
clReleaseProgram(program);
|
|
return err;
|
|
}
|
|
|
|
AUTO_TEST_CASE(test_work_group_broadcast)
|
|
(cl_device_id device, cl_context context, cl_command_queue queue, int n_elems)
|
|
{
|
|
int error = CL_SUCCESS;
|
|
int local_error = CL_SUCCESS;
|
|
|
|
local_error = work_group_broadcast(device, context, queue, n_elems, 1);
|
|
CHECK_ERROR(local_error)
|
|
error |= local_error;
|
|
|
|
local_error = work_group_broadcast(device, context, queue, n_elems, 2);
|
|
CHECK_ERROR(local_error)
|
|
error |= local_error;
|
|
|
|
local_error = work_group_broadcast(device, context, queue, n_elems, 3);
|
|
CHECK_ERROR(local_error)
|
|
error |= local_error;
|
|
|
|
if(error != CL_SUCCESS)
|
|
return -1;
|
|
return CL_SUCCESS;
|
|
}
|
|
|
|
#endif // TEST_CONFORMANCE_CLCPP_WG_TEST_WG_BROADCAST_HPP
|