mirror of
https://github.com/KhronosGroup/OpenCL-CTS.git
synced 2026-03-19 14:09:03 +00:00
580 lines
22 KiB
C++
580 lines
22 KiB
C++
//
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// Copyright (c) 2017 The Khronos Group Inc.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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//
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#include "harness/compat.h"
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#include <array>
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#include <stdio.h>
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#include <stdlib.h>
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#include <string.h>
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#include <sys/types.h>
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#include <sys/stat.h>
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#include <vector>
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#include "procs.h"
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#include "harness/conversions.h"
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#include "harness/typeWrappers.h"
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namespace {
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struct work_item_data
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{
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cl_uint workDim;
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cl_uint globalSize[ 3 ];
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cl_uint globalID[ 3 ];
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cl_uint localSize[ 3 ];
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cl_uint localID[ 3 ];
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cl_uint numGroups[ 3 ];
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cl_uint groupID[ 3 ];
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cl_uint globalOffset[3];
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cl_uint enqueuedLocalSize[3];
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};
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const char *workItemKernelCode =
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R"(typedef struct {
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uint workDim;
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uint globalSize[ 3 ];
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uint globalID[ 3 ];
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uint localSize[ 3 ];
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uint localID[ 3 ];
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uint numGroups[ 3 ];
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uint groupID[ 3 ];
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uint globalOffset[ 3 ];
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uint enqueuedLocalSize[ 3 ];
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} work_item_data;
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__kernel void sample_kernel( __global work_item_data *outData )
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{
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int id = get_global_id(0);
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outData[ id ].workDim = (uint)get_work_dim();
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for( uint i = 0; i < get_work_dim(); i++ )
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{
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outData[ id ].globalSize[ i ] = (uint)get_global_size( i );
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outData[ id ].globalID[ i ] = (uint)get_global_id( i );
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outData[ id ].localSize[ i ] = (uint)get_local_size( i );
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outData[ id ].localID[ i ] = (uint)get_local_id( i );
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outData[ id ].numGroups[ i ] = (uint)get_num_groups( i );
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outData[ id ].groupID[ i ] = (uint)get_group_id( i );
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}
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})";
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struct work_item_data_out_of_range
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{
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cl_uint workDim;
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cl_uint globalSize;
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cl_uint globalID;
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cl_uint localSize;
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cl_uint localID;
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cl_uint numGroups;
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cl_uint groupID;
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cl_uint globalOffset;
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cl_uint enqueuedLocalSize;
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};
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const char *outOfRangeWorkItemKernelCode =
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R"(typedef struct {
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uint workDim;
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uint globalSize;
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uint globalID;
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uint localSize;
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uint localID;
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uint numGroups;
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uint groupID;
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uint globalOffset;
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uint enqueuedLocalSize;
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} work_item_data;
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__kernel void sample_kernel( __global work_item_data *outData, int dim_param )
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{
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int ind_mul=1;
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int ind=0;
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for( uint i = 0; i < get_work_dim(); i++ )
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{
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ind += (uint)get_global_id(i) * ind_mul;
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ind_mul *= get_global_size(i);
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}
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outData[ind].workDim = (uint)get_work_dim();
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uint dimindx=dim_param;
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outData[ind].globalSize = (uint)get_global_size(dimindx);
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outData[ind].globalID = (uint)get_global_id(dimindx);
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outData[ind].localSize = (uint)get_local_size(dimindx);
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outData[ind].localID = (uint)get_local_id(dimindx);
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outData[ind].numGroups = (uint)get_num_groups(dimindx);
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outData[ind].groupID = (uint)get_group_id(dimindx);
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#if __OPENCL_VERSION__ >= CL_VERSION_2_0
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outData[ind].enqueuedLocalSize = (uint)get_enqueued_local_size(dimindx);
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outData[ind].globalOffset = (uint)get_global_offset(dimindx);
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#elif __OPENCL_VERSION__ >= CL_VERSION_1_1
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outData[ind].globalOffset = (uint)get_global_offset(dimindx);
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#endif
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})";
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const char *outOfRangeWorkItemHardcodedKernelCode =
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R"(typedef struct {
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uint workDim;
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uint globalSize;
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uint globalID;
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uint localSize;
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uint localID;
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uint numGroups;
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uint groupID;
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uint globalOffset;
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uint enqueuedLocalSize;
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} work_item_data;
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__kernel void sample_kernel( __global work_item_data *outData, int dim_param )
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{
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int ind_mul=1;
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int ind=0;
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for( uint i = 0; i < get_work_dim(); i++ )
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{
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ind += (uint)get_global_id(i) * ind_mul;
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ind_mul *= get_global_size(i);
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}
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outData[ind].workDim = (uint)get_work_dim();
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outData[ind].globalSize = (uint)get_global_size(4);
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outData[ind].globalID = (uint)get_global_id(4);
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outData[ind].localSize = (uint)get_local_size(4);
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outData[ind].localID = (uint)get_local_id(4);
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outData[ind].numGroups = (uint)get_num_groups(4);
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outData[ind].groupID = (uint)get_group_id(4);
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#if __OPENCL_VERSION__ >= CL_VERSION_2_0
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outData[ind].enqueuedLocalSize = (uint)get_enqueued_local_size(4);
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outData[ind].globalOffset = (uint)get_global_offset(4);
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#elif __OPENCL_VERSION__ >= CL_VERSION_1_1
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outData[ind].globalOffset = (uint)get_global_offset(4);
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#endif
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})";
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#define NUM_TESTS 1
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struct TestWorkItemFns
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{
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TestWorkItemFns(cl_device_id deviceID, cl_context context,
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cl_command_queue queue)
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: device(deviceID), context(context), queue(queue), program(nullptr),
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kernel(nullptr), outData(nullptr), d_holder(gRandomSeed),
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testData(10240)
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{}
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cl_int SetUp(const char *src)
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{
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cl_int error = create_single_kernel_helper(context, &program, &kernel,
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1, &src, "sample_kernel");
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test_error(error, "Unable to create testing kernel");
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outData = clCreateBuffer(context, CL_MEM_READ_WRITE,
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sizeof(work_item_data) * testData.size(), NULL,
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&error);
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test_error(error, "Unable to create output buffer");
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error = clSetKernelArg(kernel, 0, sizeof(outData), &outData);
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test_error(error, "Unable to set kernel arg");
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return CL_SUCCESS;
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}
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cl_int Run()
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{
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cl_int error = SetUp(workItemKernelCode);
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test_error(error, "SetUp failed");
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size_t threads[3] = { 0, 0, 0 };
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size_t localThreads[3] = { 0, 0, 0 };
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for (size_t dim = 1; dim <= 3; dim++)
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{
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for (int i = 0; i < NUM_TESTS; i++)
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{
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for (size_t j = 0; j < dim; j++)
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{
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// All of our thread sizes should be within the max local
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// sizes, since they're all <= 20
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threads[j] = (size_t)random_in_range(1, 20, d_holder);
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localThreads[j] = threads[j]
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/ (size_t)random_in_range(1, (int)threads[j], d_holder);
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while (localThreads[j] > 1
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&& (threads[j] % localThreads[j] != 0))
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localThreads[j]--;
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// Hack for now: localThreads > 1 are iffy
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localThreads[j] = 1;
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}
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error = clEnqueueNDRangeKernel(queue, kernel, (cl_uint)dim,
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NULL, threads, localThreads, 0,
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NULL, NULL);
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test_error(error, "Unable to run kernel");
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error = clEnqueueReadBuffer(queue, outData, CL_TRUE, 0,
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sizeof(work_item_data)
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* testData.size(),
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testData.data(), 0, NULL, NULL);
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test_error(error, "Unable to read results");
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// Validate
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for (size_t q = 0; q < threads[0]; q++)
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{
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// We can't really validate the actual value of each one,
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// but we can validate that they're within a sane range
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if (testData[q].workDim != (cl_uint)dim)
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{
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log_error(
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"ERROR: get_work_dim() did not return proper value "
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"for %d dimensions (expected %d, got %d)\n",
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(int)dim, (int)dim, (int)testData[q].workDim);
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return -1;
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}
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for (size_t j = 0; j < dim; j++)
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{
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if (testData[q].globalSize[j] != (cl_uint)threads[j])
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{
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log_error("ERROR: get_global_size(%d) did not "
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"return proper value for %d dimensions "
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"(expected %d, got %d)\n",
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(int)j, (int)dim, (int)threads[j],
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(int)testData[q].globalSize[j]);
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return -1;
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}
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if (testData[q].globalID[j] >= (cl_uint)threads[j])
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{
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log_error("ERROR: get_global_id(%d) did not return "
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"proper value for %d dimensions (max %d, "
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"got %d)\n",
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(int)j, (int)dim, (int)threads[j],
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(int)testData[q].globalID[j]);
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return -1;
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}
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if (testData[q].localSize[j]
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!= (cl_uint)localThreads[j])
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{
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log_error("ERROR: get_local_size(%d) did not "
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"return proper value for %d dimensions "
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"(expected %d, got %d)\n",
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(int)j, (int)dim, (int)localThreads[j],
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(int)testData[q].localSize[j]);
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return -1;
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}
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if (testData[q].localID[j] >= (cl_uint)localThreads[j])
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{
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log_error(
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"ERROR: get_local_id(%d) did not return proper "
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"value for %d dimensions (max %d, got %d)\n",
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(int)j, (int)dim, (int)localThreads[j],
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(int)testData[q].localID[j]);
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return -1;
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}
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size_t groupCount = (threads[j] + localThreads[j] - 1)
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/ localThreads[j];
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if (testData[q].numGroups[j] != (cl_uint)groupCount)
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{
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log_error("ERROR: get_num_groups(%d) did not "
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"return proper value for %d dimensions "
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"(expected %d with global dim %d and "
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"local dim %d, got %d)\n",
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(int)j, (int)dim, (int)groupCount,
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(int)threads[j], (int)localThreads[j],
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(int)testData[q].numGroups[j]);
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return -1;
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}
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if (testData[q].groupID[j] >= (cl_uint)groupCount)
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{
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log_error(
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"ERROR: get_group_id(%d) did not return proper "
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"value for %d dimensions (max %d, got %d)\n",
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(int)j, (int)dim, (int)groupCount,
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(int)testData[q].groupID[j]);
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return -1;
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}
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}
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}
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}
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}
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return 0;
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}
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cl_device_id device;
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cl_context context;
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cl_command_queue queue;
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clProgramWrapper program;
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clKernelWrapper kernel;
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clMemWrapper outData;
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MTdataHolder d_holder;
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std::vector<work_item_data> testData;
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};
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struct TestWorkItemFnsOutOfRange
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{
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size_t threads[3] = { 0, 0, 0 };
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TestWorkItemFnsOutOfRange(cl_device_id deviceID, cl_context context,
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cl_command_queue queue, const char *ksrc)
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: device(deviceID), context(context), queue(queue), program(nullptr),
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kernel(nullptr), outData(nullptr), d_holder(gRandomSeed),
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testData(10240), max_workgroup_size(0), kernel_src(ksrc)
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{}
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virtual cl_int SetUp(const char *src)
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{
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cl_int error = create_single_kernel_helper(context, &program, &kernel,
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1, &src, "sample_kernel");
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test_error(error, "Unable to create testing kernel");
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outData = clCreateBuffer(context, CL_MEM_READ_WRITE,
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sizeof(work_item_data_out_of_range)
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* testData.size(),
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NULL, &error);
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test_error(error, "Unable to create output buffer");
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error = clSetKernelArg(kernel, 0, sizeof(outData), &outData);
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test_error(error, "Unable to set kernel arg");
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error = clGetDeviceInfo(device, CL_DEVICE_MAX_WORK_ITEM_SIZES,
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sizeof(size_t) * maxWorkItemSizes.size(),
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maxWorkItemSizes.data(), NULL);
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test_error(error,
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"clDeviceInfo for CL_DEVICE_MAX_WORK_ITEM_SIZES failed");
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error = clGetKernelWorkGroupInfo(
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kernel, device, CL_KERNEL_WORK_GROUP_SIZE,
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sizeof(max_workgroup_size), &max_workgroup_size, NULL);
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test_error(error, "clGetKernelWorkgroupInfo failed.");
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return CL_SUCCESS;
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}
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bool Validate(const cl_uint dim)
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{
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cl_uint threads_to_verify = 1;
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for (size_t j = 0; j < dim; j++) threads_to_verify *= threads[j];
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for (size_t q = 0; q < threads_to_verify; q++)
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{
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if (testData[q].workDim != (cl_uint)dim)
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{
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log_error("ERROR: get_work_dim() did not return proper value "
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"for %d dimensions (expected %d, got %d)\n",
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(int)dim, (int)dim, (int)testData[q].workDim);
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return false;
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}
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if (testData[q].globalSize != 1)
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{
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log_error("ERROR: get_global_size(%d) did not return "
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"proper value for the argument out of range "
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"(expected 1, got %d)\n",
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(int)dim, (int)testData[q].globalSize);
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return false;
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}
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if (testData[q].globalID != 0)
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{
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log_error("ERROR: get_global_id(%d) did not return "
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"proper value for the argument out of range "
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"(expected 0, got %d)\n",
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(int)dim, (int)testData[q].globalID);
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return false;
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}
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if (testData[q].localSize != 1)
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{
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log_error("ERROR: get_local_size(%d) did not return "
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"proper value for the argument out of range "
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"(expected 1, got %d)\n",
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(int)dim, (int)testData[q].localSize);
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return false;
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}
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if (testData[q].localID != 0)
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{
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log_error("ERROR: get_local_id(%d) did not return "
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"proper value for the argument out of range "
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"(expected 0, got %d)\n",
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(int)dim, (int)testData[q].localID);
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return false;
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}
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if (testData[q].numGroups != 1)
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{
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log_error("ERROR: get_num_groups(%d) did not return "
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"proper value for the argument out of range "
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"(expected 1, got %d)\n",
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(int)dim, (int)testData[q].numGroups);
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return false;
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}
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if (testData[q].groupID != 0)
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{
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log_error("ERROR: get_group_id(%d) did not return "
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"proper value for the argument out of range "
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"(expected 0, got %d)\n",
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(int)dim, (int)testData[q].groupID);
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return false;
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}
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}
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const Version version = get_device_cl_version(device);
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if (version >= Version(2, 0))
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{
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for (size_t q = 0; q < threads_to_verify; q++)
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{
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if (testData[q].globalOffset != 0)
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{
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log_error(
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"ERROR: get_global_offset(%d) did not return "
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"proper value "
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"for the argument out of range (expected 0, got %d)\n",
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(int)dim, (int)testData[q].globalOffset);
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return false;
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}
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if (testData[q].enqueuedLocalSize != 1)
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{
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log_error(
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"ERROR: get_enqueued_local_size(%d) did not return "
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"proper value for the argument out of range "
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"(expected 1, got %d)\n",
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(int)dim, (int)testData[q].globalSize);
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return false;
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}
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}
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}
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else if (version >= Version(1, 1))
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{
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for (size_t q = 0; q < threads_to_verify; q++)
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{
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if (testData[q].globalOffset != 0)
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{
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log_error(
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"ERROR: get_global_offset(%d) did not return "
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"proper value "
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"for the argument out of range (expected 0, got %d)\n",
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(int)dim, (int)testData[q].globalOffset);
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return false;
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}
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}
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}
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return true;
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}
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cl_int Run()
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{
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cl_int error = SetUp(kernel_src);
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test_error(error, "SetUp failed");
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size_t localThreads[3] = { 0, 0, 0 };
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for (size_t dim = 1; dim <= 3; dim++)
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{
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size_t local_workgroup_size[3] = { maxWorkItemSizes[0],
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maxWorkItemSizes[1],
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maxWorkItemSizes[2] };
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// check if maximum work group size for current dimention is not
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// exceeded
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cl_uint work_group_size = max_workgroup_size + 1;
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while (max_workgroup_size < work_group_size && work_group_size != 1)
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{
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work_group_size = 1;
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for (size_t j = 0; j < dim; j++)
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|
work_group_size *= local_workgroup_size[j];
|
|
if (max_workgroup_size < work_group_size)
|
|
{
|
|
for (size_t j = 0; j < dim; j++)
|
|
local_workgroup_size[j] =
|
|
std::max(1, (int)local_workgroup_size[j] / 2);
|
|
}
|
|
};
|
|
|
|
// compute max number of work groups based on buffer size and max
|
|
// group size
|
|
cl_uint max_work_groups = testData.size() / work_group_size;
|
|
// take into account number of dimentions
|
|
cl_uint work_groups_per_dim =
|
|
std::max(1, (int)pow(max_work_groups, 1.f / dim));
|
|
|
|
for (size_t j = 0; j < dim; j++)
|
|
{
|
|
// generate ranges for uniform work group size
|
|
localThreads[j] =
|
|
random_in_range(1, (int)local_workgroup_size[j], d_holder);
|
|
size_t num_groups =
|
|
(size_t)random_in_range(1, work_groups_per_dim, d_holder);
|
|
threads[j] = num_groups * localThreads[j];
|
|
}
|
|
|
|
cl_int dim_param = dim + 1;
|
|
error = clSetKernelArg(kernel, 1, sizeof(cl_int), &dim_param);
|
|
test_error(error, "Unable to set kernel arg");
|
|
|
|
error =
|
|
clEnqueueNDRangeKernel(queue, kernel, (cl_uint)dim, NULL,
|
|
threads, localThreads, 0, NULL, NULL);
|
|
test_error(error, "Unable to run kernel");
|
|
|
|
error = clEnqueueReadBuffer(queue, outData, CL_TRUE, 0,
|
|
sizeof(work_item_data_out_of_range)
|
|
* testData.size(),
|
|
testData.data(), 0, NULL, NULL);
|
|
test_error(error, "Unable to read results");
|
|
|
|
// Validate
|
|
if (!Validate(dim))
|
|
{
|
|
log_error("Validation failed\n");
|
|
return TEST_FAIL;
|
|
}
|
|
}
|
|
return TEST_PASS;
|
|
}
|
|
|
|
cl_device_id device;
|
|
cl_context context;
|
|
cl_command_queue queue;
|
|
clProgramWrapper program;
|
|
clKernelWrapper kernel;
|
|
clMemWrapper outData;
|
|
MTdataHolder d_holder;
|
|
|
|
std::vector<work_item_data_out_of_range> testData;
|
|
|
|
std::array<size_t, 3> maxWorkItemSizes;
|
|
size_t max_workgroup_size;
|
|
|
|
const char *kernel_src;
|
|
};
|
|
|
|
} // anonymous namespace
|
|
|
|
int test_work_item_functions(cl_device_id deviceID, cl_context context,
|
|
cl_command_queue queue, int num_elements)
|
|
{
|
|
TestWorkItemFns fnct(deviceID, context, queue);
|
|
return fnct.Run();
|
|
}
|
|
|
|
int test_work_item_functions_out_of_range(cl_device_id deviceID,
|
|
cl_context context,
|
|
cl_command_queue queue,
|
|
int num_elements)
|
|
{
|
|
TestWorkItemFnsOutOfRange fnct(deviceID, context, queue,
|
|
outOfRangeWorkItemKernelCode);
|
|
return fnct.Run();
|
|
}
|
|
|
|
int test_work_item_functions_out_of_range_hardcoded(cl_device_id deviceID,
|
|
cl_context context,
|
|
cl_command_queue queue,
|
|
int num_elements)
|
|
{
|
|
TestWorkItemFnsOutOfRange fnct(deviceID, context, queue,
|
|
outOfRangeWorkItemHardcodedKernelCode);
|
|
return fnct.Run();
|
|
}
|