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https://github.com/KhronosGroup/OpenCL-CTS.git
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44b2578ac7
Remove the unused `numItems` variable. As this fixes all occurrences of this warning in test_basic, remove the suppression flag. Signed-off-by: Sven van Haastregt <sven.vanhaastregt@arm.com>
176 lines
7.2 KiB
C++
176 lines
7.2 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 <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 "procs.h"
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#include "harness/conversions.h"
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#include "harness/typeWrappers.h"
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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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};
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static const char *workItemKernelCode =
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"typedef struct {\n"
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" uint workDim;\n"
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" uint globalSize[ 3 ];\n"
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" uint globalID[ 3 ];\n"
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" uint localSize[ 3 ];\n"
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" uint localID[ 3 ];\n"
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" uint numGroups[ 3 ];\n"
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" uint groupID[ 3 ];\n"
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" } work_item_data;\n"
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"\n"
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"__kernel void sample_kernel( __global work_item_data *outData )\n"
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"{\n"
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" int id = get_global_id(0);\n"
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" outData[ id ].workDim = (uint)get_work_dim();\n"
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" for( uint i = 0; i < get_work_dim(); i++ )\n"
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" {\n"
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" outData[ id ].globalSize[ i ] = (uint)get_global_size( i );\n"
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" outData[ id ].globalID[ i ] = (uint)get_global_id( i );\n"
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" outData[ id ].localSize[ i ] = (uint)get_local_size( i );\n"
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" outData[ id ].localID[ i ] = (uint)get_local_id( i );\n"
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" outData[ id ].numGroups[ i ] = (uint)get_num_groups( i );\n"
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" outData[ id ].groupID[ i ] = (uint)get_group_id( i );\n"
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" }\n"
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"}";
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#define NUM_TESTS 1
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int test_work_item_functions(cl_device_id deviceID, cl_context context, cl_command_queue queue, int num_elements)
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{
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int error;
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clProgramWrapper program;
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clKernelWrapper kernel;
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clMemWrapper outData;
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work_item_data testData[ 10240 ];
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size_t threads[3], localThreads[3];
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MTdata d;
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error = create_single_kernel_helper( context, &program, &kernel, 1, &workItemKernelCode, "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, sizeof( testData ), 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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d = init_genrand( gRandomSeed );
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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 sizes, since they're all <= 20
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threads[ j ] = (size_t)random_in_range( 1, 20, d );
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localThreads[ j ] = threads[ j ] / (size_t)random_in_range( 1, (int)threads[ j ], d );
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while( localThreads[ j ] > 1 && ( 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, NULL, threads, localThreads, 0, NULL, NULL );
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test_error( error, "Unable to run kernel" );
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error = clEnqueueReadBuffer( queue, outData, CL_TRUE, 0, sizeof( testData ), testData, 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, 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( "ERROR: get_work_dim() did not return proper value for %d dimensions (expected %d, got %d)\n", (int)dim, (int)dim, (int)testData[ q ].workDim );
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free_mtdata(d);
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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 return proper value for %d dimensions (expected %d, got %d)\n",
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(int)j, (int)dim, (int)threads[ j ], (int)testData[ q ].globalSize[ j ] );
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free_mtdata(d);
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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 proper value for %d dimensions (max %d, got %d)\n",
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(int)j, (int)dim, (int)threads[ j ], (int)testData[ q ].globalID[ j ] );
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free_mtdata(d);
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return -1;
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}
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if( testData[ q ].localSize[ j ] != (cl_uint)localThreads[ j ] )
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{
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log_error( "ERROR: get_local_size(%d) did not return proper value for %d dimensions (expected %d, got %d)\n",
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(int)j, (int)dim, (int)localThreads[ j ], (int)testData[ q ].localSize[ j ] );
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free_mtdata(d);
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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( "ERROR: get_local_id(%d) did not return proper value for %d dimensions (max %d, got %d)\n",
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(int)j, (int)dim, (int)localThreads[ j ], (int)testData[ q ].localID[ j ] );
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free_mtdata(d);
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return -1;
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}
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size_t groupCount = ( threads[ j ] + localThreads[ j ] - 1 ) / 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 return proper value for %d dimensions (expected %d with global dim %d and local dim %d, got %d)\n",
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(int)j, (int)dim, (int)groupCount, (int)threads[ j ], (int)localThreads[ j ], (int)testData[ q ].numGroups[ j ] );
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free_mtdata(d);
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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( "ERROR: get_group_id(%d) did not return proper value for %d dimensions (max %d, got %d)\n",
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(int)j, (int)dim, (int)groupCount, (int)testData[ q ].groupID[ j ] );
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free_mtdata(d);
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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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free_mtdata(d);
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return 0;
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}
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