| // |
| // 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 "testBase.h" |
| #include "harness/conversions.h" |
| #include "harness/typeWrappers.h" |
| |
| extern "C" { extern cl_uint gRandomSeed;}; |
| |
| #define TEST_SIZE 512 |
| |
| const char *equivTestKernelPattern_float = |
| "__kernel void sample_test(__global float%s *sourceA, __global float%s *sourceB, __global int%s *destValues, __global int%s *destValuesB)\n" |
| "{\n" |
| " int tid = get_global_id(0);\n" |
| " destValues[tid] = %s( sourceA[tid], sourceB[tid] );\n" |
| " destValuesB[tid] = sourceA[tid] %s sourceB[tid];\n" |
| "\n" |
| "}\n"; |
| |
| const char *equivTestKernelPatternLessGreater_float = |
| "__kernel void sample_test(__global float%s *sourceA, __global float%s *sourceB, __global int%s *destValues, __global int%s *destValuesB)\n" |
| "{\n" |
| " int tid = get_global_id(0);\n" |
| " destValues[tid] = %s( sourceA[tid], sourceB[tid] );\n" |
| " destValuesB[tid] = (sourceA[tid] < sourceB[tid]) | (sourceA[tid] > sourceB[tid]);\n" |
| "\n" |
| "}\n"; |
| |
| |
| const char *equivTestKernelPattern_float3 = |
| "__kernel void sample_test(__global float%s *sourceA, __global float%s *sourceB, __global int%s *destValues, __global int%s *destValuesB)\n" |
| "{\n" |
| " int tid = get_global_id(0);\n" |
| " float3 sampA = vload3(tid, (__global float *)sourceA);\n" |
| " float3 sampB = vload3(tid, (__global float *)sourceB);\n" |
| " vstore3(%s( sampA, sampB ), tid, (__global int *)destValues);\n" |
| " vstore3(( sampA %s sampB ), tid, (__global int *)destValuesB);\n" |
| "\n" |
| "}\n"; |
| |
| const char *equivTestKernelPatternLessGreater_float3 = |
| "__kernel void sample_test(__global float%s *sourceA, __global float%s *sourceB, __global int%s *destValues, __global int%s *destValuesB)\n" |
| "{\n" |
| " int tid = get_global_id(0);\n" |
| " float3 sampA = vload3(tid, (__global float *)sourceA);\n" |
| " float3 sampB = vload3(tid, (__global float *)sourceB);\n" |
| " vstore3(%s( sampA, sampB ), tid, (__global int *)destValues);\n" |
| " vstore3(( sampA < sampB ) | (sampA > sampB), tid, (__global int *)destValuesB);\n" |
| "\n" |
| "}\n"; |
| |
| typedef bool (*equivVerifyFn)( float inDataA, float inDataB ); |
| extern "C" { extern int gInfNanSupport; }; |
| |
| int IsFloatInfinity(float x) |
| { |
| return isinf(x); |
| } |
| |
| int IsFloatNaN(float x) |
| { |
| return isnan(x); |
| } |
| |
| void verify_equiv_values_float( unsigned int vecSize, float *inDataA, float *inDataB, int *outData, equivVerifyFn verifyFn ) |
| { |
| unsigned int i; |
| int trueResult; |
| bool result; |
| |
| trueResult = ( vecSize == 1 ) ? 1 : -1; |
| for( i = 0; i < vecSize; i++ ) |
| { |
| result = verifyFn( inDataA[ i ], inDataB[ i ] ); |
| outData[ i ] = result ? trueResult : 0; |
| } |
| } |
| |
| void generate_equiv_test_data_float( float *outData, unsigned int vecSize, bool alpha, MTdata d ) |
| { |
| unsigned int i; |
| |
| generate_random_data( kFloat, vecSize * TEST_SIZE, d, outData ); |
| |
| // Fill the first few vectors with NAN in each vector element (or the second set if we're alpha, so we can test either case) |
| if( alpha ) |
| outData += vecSize * vecSize; |
| for( i = 0; i < vecSize; i++ ) |
| { |
| outData[ 0 ] = NAN; |
| outData += vecSize + 1; |
| } |
| // Make sure the third set is filled regardless, to test the case where both have NANs |
| if( !alpha ) |
| outData += vecSize * vecSize; |
| for( i = 0; i < vecSize; i++ ) |
| { |
| outData[ 0 ] = NAN; |
| outData += vecSize + 1; |
| } |
| } |
| |
| int test_equiv_kernel_float(cl_context context, cl_command_queue queue, const char *fnName, const char *opName, |
| unsigned int vecSize, equivVerifyFn verifyFn, MTdata d ) |
| { |
| clProgramWrapper program; |
| clKernelWrapper kernel; |
| clMemWrapper streams[4]; |
| float inDataA[TEST_SIZE * 16], inDataB[ TEST_SIZE * 16 ]; |
| int outData[TEST_SIZE * 16], expected[16]; |
| int error, i, j; |
| size_t threads[1], localThreads[1]; |
| char kernelSource[10240]; |
| char *programPtr; |
| char sizeName[4]; |
| |
| |
| /* Create the source */ |
| if( vecSize == 1 ) |
| sizeName[ 0 ] = 0; |
| else |
| sprintf( sizeName, "%d", vecSize ); |
| |
| |
| if(DENSE_PACK_VECS && vecSize == 3) { |
| if (strcmp(fnName, "islessgreater")) { |
| sprintf( kernelSource, equivTestKernelPattern_float3, sizeName, sizeName, sizeName, sizeName, fnName, opName ); |
| } else { |
| sprintf( kernelSource, equivTestKernelPatternLessGreater_float3, sizeName, sizeName, sizeName, sizeName, fnName ); |
| } |
| } else { |
| if (strcmp(fnName, "islessgreater")) { |
| sprintf( kernelSource, equivTestKernelPattern_float, sizeName, sizeName, sizeName, sizeName, fnName, opName ); |
| } else { |
| sprintf( kernelSource, equivTestKernelPatternLessGreater_float, sizeName, sizeName, sizeName, sizeName, fnName ); |
| } |
| } |
| |
| /* Create kernels */ |
| programPtr = kernelSource; |
| if( create_single_kernel_helper( context, &program, &kernel, 1, (const char **)&programPtr, "sample_test" ) ) |
| { |
| return -1; |
| } |
| |
| /* Generate some streams */ |
| generate_equiv_test_data_float( inDataA, vecSize, true, d ); |
| generate_equiv_test_data_float( inDataB, vecSize, false, d ); |
| |
| streams[0] = clCreateBuffer( context, (cl_mem_flags)(CL_MEM_COPY_HOST_PTR), sizeof( cl_float ) * vecSize * TEST_SIZE, &inDataA, &error); |
| if( streams[0] == NULL ) |
| { |
| print_error( error, "Creating input array A failed!\n"); |
| return -1; |
| } |
| streams[1] = clCreateBuffer( context, (cl_mem_flags)(CL_MEM_COPY_HOST_PTR), sizeof( cl_float ) * vecSize * TEST_SIZE, &inDataB, &error); |
| if( streams[1] == NULL ) |
| { |
| print_error( error, "Creating input array A failed!\n"); |
| return -1; |
| } |
| streams[2] = clCreateBuffer( context, CL_MEM_READ_WRITE, sizeof( cl_int ) * vecSize * TEST_SIZE, NULL, &error); |
| if( streams[2] == NULL ) |
| { |
| print_error( error, "Creating output array failed!\n"); |
| return -1; |
| } |
| streams[3] = clCreateBuffer( context, CL_MEM_READ_WRITE, sizeof( cl_int ) * vecSize * TEST_SIZE, NULL, &error); |
| if( streams[3] == NULL ) |
| { |
| print_error( error, "Creating output array failed!\n"); |
| return -1; |
| } |
| |
| |
| /* Assign streams and execute */ |
| error = clSetKernelArg( kernel, 0, sizeof( streams[0] ), &streams[0] ); |
| test_error( error, "Unable to set indexed kernel arguments" ); |
| error = clSetKernelArg( kernel, 1, sizeof( streams[1] ), &streams[1] ); |
| test_error( error, "Unable to set indexed kernel arguments" ); |
| error = clSetKernelArg( kernel, 2, sizeof( streams[2] ), &streams[2] ); |
| test_error( error, "Unable to set indexed kernel arguments" ); |
| error = clSetKernelArg( kernel, 3, sizeof( streams[3] ), &streams[3] ); |
| test_error( error, "Unable to set indexed kernel arguments" ); |
| |
| |
| /* Run the kernel */ |
| threads[0] = TEST_SIZE; |
| |
| error = get_max_common_work_group_size( context, kernel, threads[0], &localThreads[0] ); |
| test_error( error, "Unable to get work group size to use" ); |
| |
| error = clEnqueueNDRangeKernel( queue, kernel, 1, NULL, threads, localThreads, 0, NULL, NULL ); |
| test_error( error, "Unable to execute test kernel" ); |
| |
| /* Now get the results */ |
| error = clEnqueueReadBuffer( queue, streams[2], true, 0, sizeof( int ) * TEST_SIZE * vecSize, outData, 0, NULL, NULL ); |
| test_error( error, "Unable to read output array!" ); |
| |
| /* And verify! */ |
| for( i = 0; i < TEST_SIZE; i++ ) |
| { |
| verify_equiv_values_float( vecSize, &inDataA[ i * vecSize ], &inDataB[ i * vecSize ], expected, verifyFn); |
| |
| for( j = 0; j < (int)vecSize; j++ ) |
| { |
| if( expected[ j ] != outData[ i * vecSize + j ] ) |
| { |
| log_error( "ERROR: Data sample %d:%d at size %d does not validate! Expected %d, got %d, source %f,%f\n", |
| i, j, vecSize, expected[ j ], outData[ i * vecSize + j ], inDataA[i*vecSize + j], inDataB[i*vecSize + j] ); |
| return -1; |
| } |
| } |
| } |
| |
| /* Now get the results */ |
| error = clEnqueueReadBuffer( queue, streams[3], true, 0, sizeof( int ) * TEST_SIZE * vecSize, outData, 0, NULL, NULL ); |
| test_error( error, "Unable to read output array!" ); |
| |
| /* And verify! */ |
| int fail = 0; |
| for( i = 0; i < TEST_SIZE; i++ ) |
| { |
| verify_equiv_values_float( vecSize, &inDataA[ i * vecSize ], &inDataB[ i * vecSize ], expected, verifyFn); |
| |
| for( j = 0; j < (int)vecSize; j++ ) |
| { |
| if( expected[ j ] != outData[ i * vecSize + j ] ) |
| { |
| if (gInfNanSupport == 0) |
| { |
| if (IsFloatNaN(inDataA[i*vecSize + j]) || IsFloatNaN (inDataB[i*vecSize + j])) |
| { |
| fail = 0; |
| } |
| else |
| fail = 1; |
| } |
| if (fail) |
| { |
| log_error( "ERROR: Data sample %d:%d at size %d does not validate! Expected %d, got %d, source %f,%f\n", |
| i, j, vecSize, expected[ j ], outData[ i * vecSize + j ], inDataA[i*vecSize + j], inDataB[i*vecSize + j] ); |
| return -1; |
| } |
| } |
| } |
| } |
| |
| return 0; |
| } |
| |
| int test_equiv_kernel_set_float(cl_context context, cl_command_queue queue, const char *fnName, const char *opName, equivVerifyFn verifyFn, MTdata d ) |
| { |
| unsigned int vecSizes[] = { 1, 2, 3, 4, 8, 16, 0 }; |
| unsigned int index; |
| int retVal = 0; |
| |
| for( index = 0; vecSizes[ index ] != 0; index++ ) |
| { |
| // Test! |
| if( test_equiv_kernel_float(context, queue, fnName, opName, vecSizes[ index ], verifyFn, d ) != 0 ) |
| { |
| log_error( " Vector float%d FAILED\n", vecSizes[ index ] ); |
| retVal = -1; |
| } |
| } |
| |
| return retVal; |
| } |
| |
| bool isequal_verify_fn_float( float valueA, float valueB ) |
| { |
| return valueA == valueB; |
| } |
| |
| int test_relational_isequal_float(cl_device_id device, cl_context context, cl_command_queue queue, int numElements ) |
| { |
| RandomSeed seed( gRandomSeed ); |
| return test_equiv_kernel_set_float( context, queue, "isequal", "==", isequal_verify_fn_float, seed ); |
| } |
| |
| bool isnotequal_verify_fn_float( float valueA, float valueB ) |
| { |
| return valueA != valueB; |
| } |
| |
| int test_relational_isnotequal_float(cl_device_id device, cl_context context, cl_command_queue queue, int numElements ) |
| { |
| RandomSeed seed( gRandomSeed ); |
| return test_equiv_kernel_set_float( context, queue, "isnotequal", "!=", isnotequal_verify_fn_float, seed ); |
| } |
| |
| bool isgreater_verify_fn_float( float valueA, float valueB ) |
| { |
| return valueA > valueB; |
| } |
| |
| int test_relational_isgreater_float(cl_device_id device, cl_context context, cl_command_queue queue, int numElements ) |
| { |
| RandomSeed seed( gRandomSeed ); |
| return test_equiv_kernel_set_float( context, queue, "isgreater", ">", isgreater_verify_fn_float, seed ); |
| } |
| |
| bool isgreaterequal_verify_fn_float( float valueA, float valueB ) |
| { |
| return valueA >= valueB; |
| } |
| |
| int test_relational_isgreaterequal_float(cl_device_id device, cl_context context, cl_command_queue queue, int numElements ) |
| { |
| RandomSeed seed( gRandomSeed ); |
| return test_equiv_kernel_set_float( context, queue, "isgreaterequal", ">=", isgreaterequal_verify_fn_float, seed ); |
| } |
| |
| bool isless_verify_fn_float( float valueA, float valueB ) |
| { |
| return valueA < valueB; |
| } |
| |
| int test_relational_isless_float(cl_device_id device, cl_context context, cl_command_queue queue, int numElements ) |
| { |
| RandomSeed seed( gRandomSeed ); |
| return test_equiv_kernel_set_float( context, queue, "isless", "<", isless_verify_fn_float, seed ); |
| } |
| |
| bool islessequal_verify_fn_float( float valueA, float valueB ) |
| { |
| return valueA <= valueB; |
| } |
| |
| int test_relational_islessequal_float(cl_device_id device, cl_context context, cl_command_queue queue, int numElements ) |
| { |
| RandomSeed seed( gRandomSeed ); |
| return test_equiv_kernel_set_float( context, queue, "islessequal", "<=", islessequal_verify_fn_float, seed ); |
| } |
| |
| bool islessgreater_verify_fn_float( float valueA, float valueB ) |
| { |
| return ( valueA < valueB ) || ( valueA > valueB ); |
| } |
| |
| int test_relational_islessgreater_float(cl_device_id device, cl_context context, cl_command_queue queue, int numElements ) |
| { |
| RandomSeed seed( gRandomSeed ); |
| return test_equiv_kernel_set_float( context, queue, "islessgreater", "<>", islessgreater_verify_fn_float, seed ); |
| } |
| |
| |