Files
OpenCL-CTS/test_conformance/math_brute_force/unary_u.c
Kevin Petit 53db6e7f9f Synchronise with Khronos-private Gitlab branch
The maintenance of the conformance tests is moving to Github.

This commit contains all the changes that have been done in
Gitlab since the first public release of the conformance tests.

Signed-off-by: Kevin Petit <kevin.petit@arm.com>
2019-03-05 16:24:06 +00:00

695 lines
26 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 "Utility.h"
#include <string.h>
#include "FunctionList.h"
int TestFunc_Float_UInt(const Func *f, MTdata);
int TestFunc_Double_ULong(const Func *f, MTdata);
#if defined( __cplusplus)
extern "C"
#endif
const vtbl _unary_u = { "unary_u", TestFunc_Float_UInt, TestFunc_Double_ULong };
static int BuildKernel( const char *name, int vectorSize, cl_kernel *k, cl_program *p );
static int BuildKernelDouble( const char *name, int vectorSize, cl_kernel *k, cl_program *p );
static int BuildKernel( const char *name, int vectorSize, cl_kernel *k, cl_program *p )
{
const char *c[] = {
"__kernel void math_kernel", sizeNames[vectorSize], "( __global float", sizeNames[vectorSize], "* out, __global uint", sizeNames[vectorSize], "* in)\n"
"{\n"
" int i = get_global_id(0);\n"
" out[i] = ", name, "( in[i] );\n"
"}\n"
};
const char *c3[] = { "__kernel void math_kernel", sizeNames[vectorSize], "( __global float* out, __global uint* in)\n"
"{\n"
" size_t i = get_global_id(0);\n"
" if( i + 1 < get_global_size(0) )\n"
" {\n"
" uint3 u0 = vload3( 0, in + 3 * i );\n"
" float3 f0 = ", name, "( u0 );\n"
" vstore3( f0, 0, out + 3*i );\n"
" }\n"
" else\n"
" {\n"
" size_t parity = i & 1; // Figure out how many elements are left over after BUFFER_SIZE % (3*sizeof(float)). Assume power of two buffer size \n"
" uint3 u0;\n"
" float3 f0;\n"
" switch( parity )\n"
" {\n"
" case 1:\n"
" u0 = (uint3)( in[3*i], 0xdead, 0xdead ); \n"
" break;\n"
" case 0:\n"
" u0 = (uint3)( in[3*i], in[3*i+1], 0xdead ); \n"
" break;\n"
" }\n"
" f0 = ", name, "( u0 );\n"
" switch( parity )\n"
" {\n"
" case 0:\n"
" out[3*i+1] = f0.y; \n"
" // fall through\n"
" case 1:\n"
" out[3*i] = f0.x; \n"
" break;\n"
" }\n"
" }\n"
"}\n"
};
const char **kern = c;
size_t kernSize = sizeof(c)/sizeof(c[0]);
if( sizeValues[vectorSize] == 3 )
{
kern = c3;
kernSize = sizeof(c3)/sizeof(c3[0]);
}
char testName[32];
snprintf( testName, sizeof( testName ) -1, "math_kernel%s", sizeNames[vectorSize] );
return MakeKernel(kern, (cl_uint) kernSize, testName, k, p);
}
static int BuildKernelDouble( const char *name, int vectorSize, cl_kernel *k, cl_program *p )
{
const char *c[] = {
"#pragma OPENCL EXTENSION cl_khr_fp64 : enable\n",
"__kernel void math_kernel", sizeNames[vectorSize], "( __global double", sizeNames[vectorSize], "* out, __global ulong", sizeNames[vectorSize], "* in)\n"
"{\n"
" int i = get_global_id(0);\n"
" out[i] = ", name, "( in[i] );\n"
"}\n"
};
const char *c3[] = { "#pragma OPENCL EXTENSION cl_khr_fp64 : enable\n",
"__kernel void math_kernel", sizeNames[vectorSize], "( __global double* out, __global ulong* in)\n"
"{\n"
" size_t i = get_global_id(0);\n"
" if( i + 1 < get_global_size(0) )\n"
" {\n"
" ulong3 u0 = vload3( 0, in + 3 * i );\n"
" double3 f0 = ", name, "( u0 );\n"
" vstore3( f0, 0, out + 3*i );\n"
" }\n"
" else\n"
" {\n"
" size_t parity = i & 1; // Figure out how many elements are left over after BUFFER_SIZE % (3*sizeof(float)). Assume power of two buffer size \n"
" ulong3 u0;\n"
" switch( parity )\n"
" {\n"
" case 1:\n"
" u0 = (ulong3)( in[3*i], 0xdeaddeaddeaddeadUL, 0xdeaddeaddeaddeadUL ); \n"
" break;\n"
" case 0:\n"
" u0 = (ulong3)( in[3*i], in[3*i+1], 0xdeaddeaddeaddeadUL ); \n"
" break;\n"
" }\n"
" double3 f0 = ", name, "( u0 );\n"
" switch( parity )\n"
" {\n"
" case 0:\n"
" out[3*i+1] = f0.y; \n"
" // fall through\n"
" case 1:\n"
" out[3*i] = f0.x; \n"
" break;\n"
" }\n"
" }\n"
"}\n"
};
const char **kern = c;
size_t kernSize = sizeof(c)/sizeof(c[0]);
if( sizeValues[vectorSize] == 3 )
{
kern = c3;
kernSize = sizeof(c3)/sizeof(c3[0]);
}
char testName[32];
snprintf( testName, sizeof( testName ) -1, "math_kernel%s", sizeNames[vectorSize] );
return MakeKernel(kern, (cl_uint) kernSize, testName, k, p);
}
typedef struct BuildKernelInfo
{
cl_uint offset; // the first vector size to build
cl_kernel *kernels;
cl_program *programs;
const char *nameInCode;
}BuildKernelInfo;
static cl_int BuildKernel_FloatFn( cl_uint job_id, cl_uint thread_id UNUSED, void *p );
static cl_int BuildKernel_FloatFn( cl_uint job_id, cl_uint thread_id UNUSED, void *p )
{
BuildKernelInfo *info = (BuildKernelInfo*) p;
cl_uint i = info->offset + job_id;
return BuildKernel( info->nameInCode, i, info->kernels + i, info->programs + i );
}
static cl_int BuildKernel_DoubleFn( cl_uint job_id, cl_uint thread_id UNUSED, void *p );
static cl_int BuildKernel_DoubleFn( cl_uint job_id, cl_uint thread_id UNUSED, void *p )
{
BuildKernelInfo *info = (BuildKernelInfo*) p;
cl_uint i = info->offset + job_id;
return BuildKernelDouble( info->nameInCode, i, info->kernels + i, info->programs + i );
}
int TestFunc_Float_UInt(const Func *f, MTdata d)
{
uint64_t i;
uint32_t j, k;
int error;
cl_program programs[ VECTOR_SIZE_COUNT ];
cl_kernel kernels[ VECTOR_SIZE_COUNT ];
float maxError = 0.0f;
int ftz = f->ftz || gForceFTZ || 0 == (CL_FP_DENORM & gFloatCapabilities);
float maxErrorVal = 0.0f;
size_t bufferSize = (gWimpyMode)? gWimpyBufferSize: BUFFER_SIZE;
uint64_t step = bufferSize / sizeof( float );
int scale = (int)((1ULL<<32) / (16 * bufferSize / sizeof( double )) + 1);
int isRangeLimited = 0;
float float_ulps;
float half_sin_cos_tan_limit = 0;
logFunctionInfo(f->name,sizeof(cl_float),gTestFastRelaxed);
if( gWimpyMode )
{
step = (1ULL<<32) * gWimpyReductionFactor / (512);
}
if( gIsEmbedded)
float_ulps = f->float_embedded_ulps;
else
float_ulps = f->float_ulps;
// Init the kernels
BuildKernelInfo build_info = { gMinVectorSizeIndex, kernels, programs, f->nameInCode };
if( (error = ThreadPool_Do( BuildKernel_FloatFn, gMaxVectorSizeIndex - gMinVectorSizeIndex, &build_info ) ))
return error;
/*
for( i = gMinVectorSizeIndex; i < gMaxVectorSizeIndex; i++ )
if( (error = BuildKernel( f->nameInCode, (int) i, kernels + i, programs + i) ) )
return error;
*/
if( 0 == strcmp( f->name, "half_sin") || 0 == strcmp( f->name, "half_cos") )
{
isRangeLimited = 1;
half_sin_cos_tan_limit = 1.0f + float_ulps * (FLT_EPSILON/2.0f); // out of range results from finite inputs must be in [-1,1]
}
else if( 0 == strcmp( f->name, "half_tan"))
{
isRangeLimited = 1;
half_sin_cos_tan_limit = INFINITY; // out of range resut from finite inputs must be numeric
}
for( i = 0; i < (1ULL<<32); i += step )
{
//Init input array
uint32_t *p = (uint32_t *)gIn;
if( gWimpyMode )
{
for( j = 0; j < bufferSize / sizeof( float ); j++ )
p[j] = (uint32_t) i + j * scale;
}
else
{
for( j = 0; j < bufferSize / sizeof( float ); j++ )
p[j] = (uint32_t) i + j;
}
if( (error = clEnqueueWriteBuffer(gQueue, gInBuffer, CL_FALSE, 0, bufferSize, gIn, 0, NULL, NULL)))
{
vlog_error( "\n*** Error %d in clEnqueueWriteBuffer ***\n", error );
return error;
}
// write garbage into output arrays
for( j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++ )
{
uint32_t pattern = 0xffffdead;
memset_pattern4(gOut[j], &pattern, bufferSize);
if( (error = clEnqueueWriteBuffer(gQueue, gOutBuffer[j], CL_FALSE, 0, bufferSize, gOut[j], 0, NULL, NULL)))
{
vlog_error( "\n*** Error %d in clEnqueueWriteBuffer2(%d) ***\n", error, j );
goto exit;
}
}
// Run the kernels
for( j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++ )
{
size_t vectorSize = sizeValues[j] * sizeof(cl_float);
size_t localCount = (bufferSize + vectorSize - 1) / vectorSize;
if( ( error = clSetKernelArg(kernels[j], 0, sizeof( gOutBuffer[j] ), &gOutBuffer[j] ))){ LogBuildError(programs[j]); goto exit; }
if( ( error = clSetKernelArg( kernels[j], 1, sizeof( gInBuffer ), &gInBuffer ) )) { LogBuildError(programs[j]); goto exit; }
if( (error = clEnqueueNDRangeKernel(gQueue, kernels[j], 1, NULL, &localCount, NULL, 0, NULL, NULL)))
{
vlog_error( "FAILURE -- could not execute kernel\n" );
goto exit;
}
}
// Get that moving
if( (error = clFlush(gQueue) ))
vlog( "clFlush failed\n" );
//Calculate the correctly rounded reference result
float *r = (float*) gOut_Ref;
cl_uint *s = (cl_uint*) gIn;
for( j = 0; j < bufferSize / sizeof( float ); j++ )
r[j] = (float) f->func.f_u( s[j] );
// Read the data back
for( j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++ )
{
if( (error = clEnqueueReadBuffer(gQueue, gOutBuffer[j], CL_TRUE, 0, bufferSize, gOut[j], 0, NULL, NULL)))
{
vlog_error( "ReadArray failed %d\n", error );
goto exit;
}
}
if( gSkipCorrectnessTesting )
break;
//Verify data
uint32_t *t = (uint32_t*) gOut_Ref;
for( j = 0; j < bufferSize / sizeof( float ); j++ )
{
for( k = gMinVectorSizeIndex; k < gMaxVectorSizeIndex; k++ )
{
uint32_t *q = (uint32_t*)(gOut[k]);
// If we aren't getting the correctly rounded result
if( t[j] != q[j] )
{
float test = ((float*) q)[j];
double correct = f->func.f_u( s[j] );
float err = Ulp_Error( test, correct );
int fail = ! (fabsf(err) <= float_ulps);
// half_sin/cos/tan are only valid between +-2**16, Inf, NaN
if( isRangeLimited && fabsf(s[j]) > MAKE_HEX_FLOAT(0x1.0p16f, 0x1L, 16) && fabsf(s[j]) < INFINITY )
{
if( fabsf( test ) <= half_sin_cos_tan_limit )
{
err = 0;
fail = 0;
}
}
if( fail )
{
if( ftz )
{
// retry per section 6.5.3.2
if( IsFloatResultSubnormal(correct, float_ulps) )
{
fail = fail && ( test != 0.0f );
if( ! fail )
err = 0.0f;
}
}
}
if( fabsf(err ) > maxError )
{
maxError = fabsf(err);
maxErrorVal = s[j];
}
if( fail )
{
vlog_error( "\n%s%s: %f ulp error at 0x%8.8x: *%a vs. %a\n", f->name, sizeNames[k], err, ((uint32_t*) gIn)[j], ((float*) gOut_Ref)[j], test );
error = -1;
goto exit;
}
}
}
}
if( 0 == (i & 0x0fffffff) )
{
if (gVerboseBruteForce)
{
vlog("base:%14u step:%10zu bufferSize:%10zd \n", i, step, bufferSize);
} else
{
vlog("." );
}
fflush(stdout);
}
}
if( ! gSkipCorrectnessTesting )
{
if( gWimpyMode )
vlog( "Wimp pass" );
else
vlog( "passed" );
}
if( gMeasureTimes )
{
//Init input array
uint32_t *p = (uint32_t*)gIn;
if( strstr( f->name, "exp" ) || strstr( f->name, "sin" ) || strstr( f->name, "cos" ) || strstr( f->name, "tan" ) )
for( j = 0; j < bufferSize / sizeof( float ); j++ )
((float*)p)[j] = (float) genrand_real1(d);
else if( strstr( f->name, "log" ) )
for( j = 0; j < bufferSize / sizeof( float ); j++ )
p[j] = genrand_int32(d) & 0x7fffffff;
else
for( j = 0; j < bufferSize / sizeof( float ); j++ )
p[j] = genrand_int32(d);
if( (error = clEnqueueWriteBuffer(gQueue, gInBuffer, CL_FALSE, 0, bufferSize, gIn, 0, NULL, NULL) ))
{
vlog_error( "\n*** Error %d in clEnqueueWriteBuffer ***\n", error );
return error;
}
// Run the kernels
for( j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++ )
{
size_t vectorSize = sizeValues[j] * sizeof(cl_float);
size_t localCount = (bufferSize + vectorSize - 1) / vectorSize;
if( ( error = clSetKernelArg(kernels[j], 0, sizeof( gOutBuffer[j] ), &gOutBuffer[j] ) )) { LogBuildError(programs[j]); goto exit; }
if( ( error = clSetKernelArg( kernels[j], 1, sizeof( gInBuffer ), &gInBuffer ) )) { LogBuildError(programs[j]); goto exit; }
double sum = 0.0;
double bestTime = INFINITY;
for( k = 0; k < PERF_LOOP_COUNT; k++ )
{
uint64_t startTime = GetTime();
if( (error = clEnqueueNDRangeKernel(gQueue, kernels[j], 1, NULL, &localCount, NULL, 0, NULL, NULL)) )
{
vlog_error( "FAILURE -- could not execute kernel\n" );
goto exit;
}
// Make sure OpenCL is done
if( (error = clFinish(gQueue) ) )
{
vlog_error( "Error %d at clFinish\n", error );
goto exit;
}
uint64_t endTime = GetTime();
double time = SubtractTime( endTime, startTime );
sum += time;
if( time < bestTime )
bestTime = time;
}
if( gReportAverageTimes )
bestTime = sum / PERF_LOOP_COUNT;
double clocksPerOp = bestTime * (double) gDeviceFrequency * gComputeDevices * gSimdSize * 1e6 / (bufferSize / sizeof( float ) );
vlog_perf( clocksPerOp, LOWER_IS_BETTER, "clocks / element", "%sf%s", f->name, sizeNames[j] );
}
}
if( ! gSkipCorrectnessTesting )
vlog( "\t%8.2f @ %a", maxError, maxErrorVal );
vlog( "\n" );
exit:
// Release
for( k = gMinVectorSizeIndex; k < gMaxVectorSizeIndex; k++ )
{
clReleaseKernel(kernels[k]);
clReleaseProgram(programs[k]);
}
return error;
}
static cl_ulong random64( MTdata d )
{
return (cl_ulong) genrand_int32(d) | ((cl_ulong) genrand_int32(d) << 32);
}
int TestFunc_Double_ULong(const Func *f, MTdata d)
{
uint64_t i;
uint32_t j, k;
int error;
cl_program programs[ VECTOR_SIZE_COUNT ];
cl_kernel kernels[ VECTOR_SIZE_COUNT ];
float maxError = 0.0f;
int ftz = f->ftz || gForceFTZ;
double maxErrorVal = 0.0f;
size_t bufferSize = (gWimpyMode)? gWimpyBufferSize: BUFFER_SIZE;
uint64_t step = bufferSize / sizeof( cl_double );
logFunctionInfo(f->name,sizeof(cl_double),gTestFastRelaxed);
if( gWimpyMode )
{
step = (1ULL<<32) * gWimpyReductionFactor / (512);
}
Force64BitFPUPrecision();
// Init the kernels
BuildKernelInfo build_info = { gMinVectorSizeIndex, kernels, programs, f->nameInCode };
if( (error = ThreadPool_Do( BuildKernel_DoubleFn,
gMaxVectorSizeIndex - gMinVectorSizeIndex,
&build_info ) ))
{
return error;
}
/*
for( i = gMinVectorSizeIndex; i < gMaxVectorSizeIndex; i++ )
if( (error = BuildKernelDouble( f->nameInCode, (int) i, kernels + i, programs + i) ) )
return error;
*/
for( i = 0; i < (1ULL<<32); i += step )
{
//Init input array
cl_ulong *p = (cl_ulong *)gIn;
for( j = 0; j < bufferSize / sizeof( cl_ulong ); j++ )
p[j] = random64(d);
if( (error = clEnqueueWriteBuffer(gQueue, gInBuffer, CL_FALSE, 0, bufferSize, gIn, 0, NULL, NULL)))
{
vlog_error( "\n*** Error %d in clEnqueueWriteBuffer ***\n", error );
return error;
}
// write garbage into output arrays
for( j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++ )
{
uint32_t pattern = 0xffffdead;
memset_pattern4(gOut[j], &pattern, bufferSize);
if( (error = clEnqueueWriteBuffer(gQueue, gOutBuffer[j], CL_FALSE, 0, bufferSize, gOut[j], 0, NULL, NULL)))
{
vlog_error( "\n*** Error %d in clEnqueueWriteBuffer2(%d) ***\n", error, j );
goto exit;
}
}
// Run the kernels
for( j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++ )
{
size_t vectorSize = sizeValues[j] * sizeof(cl_double);
size_t localCount = (bufferSize + vectorSize - 1) / vectorSize;
if( ( error = clSetKernelArg(kernels[j], 0, sizeof( gOutBuffer[j] ), &gOutBuffer[j] ))){ LogBuildError(programs[j]); goto exit; }
if( ( error = clSetKernelArg( kernels[j], 1, sizeof( gInBuffer ), &gInBuffer ) )) { LogBuildError(programs[j]); goto exit; }
if( (error = clEnqueueNDRangeKernel(gQueue, kernels[j], 1, NULL, &localCount, NULL, 0, NULL, NULL)))
{
vlog_error( "FAILURE -- could not execute kernel\n" );
goto exit;
}
}
// Get that moving
if( (error = clFlush(gQueue) ))
vlog( "clFlush failed\n" );
//Calculate the correctly rounded reference result
double *r = (double*) gOut_Ref;
cl_ulong *s = (cl_ulong*) gIn;
for( j = 0; j < bufferSize / sizeof( cl_double ); j++ )
r[j] = (double) f->dfunc.f_u( s[j] );
// Read the data back
for( j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++ )
{
if( (error = clEnqueueReadBuffer(gQueue, gOutBuffer[j], CL_TRUE, 0, bufferSize, gOut[j], 0, NULL, NULL)))
{
vlog_error( "ReadArray failed %d\n", error );
goto exit;
}
}
if( gSkipCorrectnessTesting )
break;
//Verify data
uint64_t *t = (uint64_t*) gOut_Ref;
for( j = 0; j < bufferSize / sizeof( cl_double ); j++ )
{
for( k = gMinVectorSizeIndex; k < gMaxVectorSizeIndex; k++ )
{
uint64_t *q = (uint64_t*)(gOut[k]);
// If we aren't getting the correctly rounded result
if( t[j] != q[j] )
{
double test = ((double*) q)[j];
long double correct = f->dfunc.f_u( s[j] );
float err = Bruteforce_Ulp_Error_Double(test, correct);
int fail = ! (fabsf(err) <= f->double_ulps);
// half_sin/cos/tan are only valid between +-2**16, Inf, NaN
if( fail )
{
if( ftz )
{
// retry per section 6.5.3.2
if( IsDoubleResultSubnormal(correct, f->double_ulps) )
{
fail = fail && ( test != 0.0 );
if( ! fail )
err = 0.0f;
}
}
}
if( fabsf(err ) > maxError )
{
maxError = fabsf(err);
maxErrorVal = s[j];
}
if( fail )
{
vlog_error( "\n%s%sD: %f ulp error at 0x%16.16llx: *%.13la vs. %.13la\n", f->name, sizeNames[k], err, ((uint64_t*) gIn)[j], ((double*) gOut_Ref)[j], test );
error = -1;
goto exit;
}
}
}
}
if( 0 == (i & 0x0fffffff) )
{
if (gVerboseBruteForce)
{
vlog("base:%14u step:%10zu bufferSize:%10zd \n", i, step, bufferSize);
} else
{
vlog("." );
}
fflush(stdout);
}
}
if( ! gSkipCorrectnessTesting )
{
if( gWimpyMode )
vlog( "Wimp pass" );
else
vlog( "passed" );
}
if( gMeasureTimes )
{
//Init input array
double *p = (double*) gIn;
for( j = 0; j < bufferSize / sizeof( double ); j++ )
p[j] = random64(d);
if( (error = clEnqueueWriteBuffer(gQueue, gInBuffer, CL_FALSE, 0, bufferSize, gIn, 0, NULL, NULL) ))
{
vlog_error( "\n*** Error %d in clEnqueueWriteBuffer ***\n", error );
return error;
}
// Run the kernels
for( j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++ )
{
size_t vectorSize = sizeValues[j] * sizeof(cl_double);
size_t localCount = (bufferSize + vectorSize - 1) / vectorSize;
if( ( error = clSetKernelArg(kernels[j], 0, sizeof( gOutBuffer[j] ), &gOutBuffer[j] ) )) { LogBuildError(programs[j]); goto exit; }
if( ( error = clSetKernelArg( kernels[j], 1, sizeof( gInBuffer ), &gInBuffer ) )) { LogBuildError(programs[j]); goto exit; }
double sum = 0.0;
double bestTime = INFINITY;
for( k = 0; k < PERF_LOOP_COUNT; k++ )
{
uint64_t startTime = GetTime();
if( (error = clEnqueueNDRangeKernel(gQueue, kernels[j], 1, NULL, &localCount, NULL, 0, NULL, NULL)) )
{
vlog_error( "FAILURE -- could not execute kernel\n" );
goto exit;
}
// Make sure OpenCL is done
if( (error = clFinish(gQueue) ) )
{
vlog_error( "Error %d at clFinish\n", error );
goto exit;
}
uint64_t endTime = GetTime();
double time = SubtractTime( endTime, startTime );
sum += time;
if( time < bestTime )
bestTime = time;
}
if( gReportAverageTimes )
bestTime = sum / PERF_LOOP_COUNT;
double clocksPerOp = bestTime * (double) gDeviceFrequency * gComputeDevices * gSimdSize * 1e6 / (bufferSize / sizeof( double ) );
vlog_perf( clocksPerOp, LOWER_IS_BETTER, "clocks / element", "%sD%s", f->name, sizeNames[j] );
}
for( ; j < gMaxVectorSizeIndex; j++ )
vlog( "\t -- " );
}
if( ! gSkipCorrectnessTesting )
vlog( "\t%8.2f @ %a", maxError, maxErrorVal );
vlog( "\n" );
exit:
// Release
for( k = gMinVectorSizeIndex; k < gMaxVectorSizeIndex; k++ )
{
clReleaseKernel(kernels[k]);
clReleaseProgram(programs[k]);
}
return error;
}