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OpenCL-CTS/test_conformance/math_brute_force/macro_unary.c
Kedar Patil 2821bf1323 Initial open source release of OpenCL 2.2 CTS.
2017-05-16 18:44:33 +05:30

966 lines
37 KiB
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//
// 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 TestMacro_Int_Float(const Func *f, MTdata);
int TestMacro_Int_Double(const Func *f, MTdata);
#if defined( __cplusplus)
extern "C"
#endif
const vtbl _macro_unary = { "macro_unary", TestMacro_Int_Float, TestMacro_Int_Double };
static int BuildKernel( const char *name, int vectorSize, cl_uint kernel_count, cl_kernel *k, cl_program *p );
static int BuildKernelDouble( const char *name, int vectorSize, cl_uint kernel_count, cl_kernel *k, cl_program *p );
static int BuildKernel( const char *name, int vectorSize, cl_uint kernel_count, cl_kernel *k, cl_program *p )
{
const char *c[] = { "__kernel void math_kernel", sizeNames[vectorSize], "( __global int", sizeNames[vectorSize], "* out, __global float", 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 int* out, __global float* in)\n"
"{\n"
" size_t i = get_global_id(0);\n"
" if( i + 1 < get_global_size(0) )\n"
" {\n"
" float3 f0 = vload3( 0, in + 3 * i );\n"
" int3 i0 = ", name, "( f0 );\n"
" vstore3( i0, 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"
" int3 i0;\n"
" float3 f0;\n"
" switch( parity )\n"
" {\n"
" case 1:\n"
" f0 = (float3)( in[3*i], 0xdead, 0xdead ); \n"
" break;\n"
" case 0:\n"
" f0 = (float3)( in[3*i], in[3*i+1], 0xdead ); \n"
" break;\n"
" }\n"
" i0 = ", name, "( f0 );\n"
" switch( parity )\n"
" {\n"
" case 0:\n"
" out[3*i+1] = i0.y; \n"
" // fall through\n"
" case 1:\n"
" out[3*i] = i0.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 MakeKernels(kern, (cl_uint) kernSize, testName, kernel_count, k, p);
}
static int BuildKernelDouble( const char *name, int vectorSize, cl_uint kernel_count, cl_kernel *k, cl_program *p )
{
const char *c[] = { "#pragma OPENCL EXTENSION cl_khr_fp64 : enable\n",
"__kernel void math_kernel", sizeNames[vectorSize], "( __global long", sizeNames[vectorSize], "* out, __global double", 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 long* out, __global double* in)\n"
"{\n"
" size_t i = get_global_id(0);\n"
" if( i + 1 < get_global_size(0) )\n"
" {\n"
" double3 d0 = vload3( 0, in + 3 * i );\n"
" long3 l0 = ", name, "( d0 );\n"
" vstore3( l0, 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"
" double3 d0;\n"
" switch( parity )\n"
" {\n"
" case 1:\n"
" d0 = (double3)( in[3*i], NAN, NAN ); \n"
" break;\n"
" case 0:\n"
" d0 = (double3)( in[3*i], in[3*i+1], NAN ); \n"
" break;\n"
" }\n"
" long3 l0 = ", name, "( d0 );\n"
" switch( parity )\n"
" {\n"
" case 0:\n"
" out[3*i+1] = l0.y; \n"
" // fall through\n"
" case 1:\n"
" out[3*i] = l0.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 MakeKernels(kern, (cl_uint) kernSize, testName, kernel_count, k, p);
}
typedef struct BuildKernelInfo
{
cl_uint offset; // the first vector size to build
cl_uint kernel_count;
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->kernel_count, 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->kernel_count, info->kernels[i], info->programs + i );
}
//Thread specific data for a worker thread
typedef struct ThreadInfo
{
cl_mem inBuf; // input buffer for the thread
cl_mem outBuf[ VECTOR_SIZE_COUNT ]; // output buffers for the thread
cl_command_queue tQueue; // per thread command queue to improve performance
}ThreadInfo;
typedef struct TestInfo
{
size_t subBufferSize; // Size of the sub-buffer in elements
const Func *f; // A pointer to the function info
cl_program programs[ VECTOR_SIZE_COUNT ]; // programs for various vector sizes
cl_kernel *k[VECTOR_SIZE_COUNT ]; // arrays of thread-specific kernels for each worker thread: k[vector_size][thread_id]
ThreadInfo *tinfo; // An array of thread specific information for each worker thread
cl_uint threadCount; // Number of worker threads
cl_uint step; // step between each chunk and the next.
cl_uint scale; // stride between individual test values
int ftz; // non-zero if running in flush to zero mode
}TestInfo;
static cl_int TestFloat( cl_uint job_id, cl_uint thread_id, void *p );
int TestMacro_Int_Float(const Func *f, MTdata d)
{
TestInfo test_info;
cl_int error;
size_t i, j;
logFunctionInfo(f->name,sizeof(cl_float),gTestFastRelaxed);
// Init test_info
memset( &test_info, 0, sizeof( test_info ) );
test_info.threadCount = GetThreadCount();
test_info.subBufferSize = BUFFER_SIZE / (sizeof( cl_float) * RoundUpToNextPowerOfTwo(test_info.threadCount));
test_info.scale = 1;
if (gWimpyMode )
{
test_info.subBufferSize = gWimpyBufferSize / (sizeof( cl_float) * RoundUpToNextPowerOfTwo(test_info.threadCount));
test_info.scale = (cl_uint) sizeof(cl_float) * 2 * gWimpyReductionFactor;
}
test_info.step = (cl_uint) test_info.subBufferSize * test_info.scale;
test_info.f = f;
test_info.ftz = f->ftz || gForceFTZ || 0 == (CL_FP_DENORM & gFloatCapabilities);
// cl_kernels aren't thread safe, so we make one for each vector size for every thread
for( i = gMinVectorSizeIndex; i < gMaxVectorSizeIndex; i++ )
{
size_t array_size = test_info.threadCount * sizeof( cl_kernel );
test_info.k[i] = (cl_kernel*)malloc( array_size );
if( NULL == test_info.k[i] )
{
vlog_error( "Error: Unable to allocate storage for kernels!\n" );
error = CL_OUT_OF_HOST_MEMORY;
goto exit;
}
memset( test_info.k[i], 0, array_size );
}
test_info.tinfo = (ThreadInfo*)malloc( test_info.threadCount * sizeof(*test_info.tinfo) );
if( NULL == test_info.tinfo )
{
vlog_error( "Error: Unable to allocate storage for thread specific data.\n" );
error = CL_OUT_OF_HOST_MEMORY;
goto exit;
}
memset( test_info.tinfo, 0, test_info.threadCount * sizeof(*test_info.tinfo) );
for( i = 0; i < test_info.threadCount; i++ )
{
cl_buffer_region region = { i * test_info.subBufferSize * sizeof( cl_float), test_info.subBufferSize * sizeof( cl_float) };
test_info.tinfo[i].inBuf = clCreateSubBuffer( gInBuffer, CL_MEM_READ_ONLY, CL_BUFFER_CREATE_TYPE_REGION, &region, &error);
if( error || NULL == test_info.tinfo[i].inBuf)
{
vlog_error( "Error: Unable to create sub-buffer of gInBuffer for region {%zd, %zd}\n", region.origin, region.size );
goto exit;
}
for( j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++ )
{
test_info.tinfo[i].outBuf[j] = clCreateSubBuffer( gOutBuffer[j], CL_MEM_WRITE_ONLY, CL_BUFFER_CREATE_TYPE_REGION, &region, &error);
if( error || NULL == test_info.tinfo[i].outBuf[j] )
{
vlog_error( "Error: Unable to create sub-buffer of gOutBuffer for region {%zd, %zd}\n", region.origin, region.size );
goto exit;
}
}
test_info.tinfo[i].tQueue = clCreateCommandQueueWithProperties(gContext, gDevice, 0, &error);
if( NULL == test_info.tinfo[i].tQueue || error )
{
vlog_error( "clCreateCommandQueue failed. (%d)\n", error );
goto exit;
}
}
// Init the kernels
{
BuildKernelInfo build_info = { gMinVectorSizeIndex, test_info.threadCount, test_info.k, test_info.programs, f->nameInCode };
if( (error = ThreadPool_Do( BuildKernel_FloatFn, gMaxVectorSizeIndex - gMinVectorSizeIndex, &build_info ) ))
goto exit;
}
if( !gSkipCorrectnessTesting )
{
error = ThreadPool_Do( TestFloat, (cl_uint) ((1ULL<<32) / test_info.step), &test_info );
if( error )
goto exit;
if( gWimpyMode )
vlog( "Wimp pass" );
else
vlog( "passed" );
}
if( gMeasureTimes )
{
//Init input array
cl_uint *p = (cl_uint *)gIn;
for( j = 0; j < BUFFER_SIZE / sizeof( float ); j++ )
p[j] = genrand_int32(d);
if( (error = clEnqueueWriteBuffer(gQueue, gInBuffer, CL_FALSE, 0, BUFFER_SIZE, 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 = sizeof( cl_float ) * sizeValues[j];
size_t localCount = (BUFFER_SIZE + vectorSize - 1) / vectorSize; // BUFFER_SIZE / vectorSize rounded up
if( ( error = clSetKernelArg( test_info.k[j][0], 0, sizeof( gOutBuffer[j] ), &gOutBuffer[j] ) )) { LogBuildError(test_info.programs[j]); goto exit; }
if( ( error = clSetKernelArg( test_info.k[j][0], 1, sizeof( gInBuffer ), &gInBuffer ) )) { LogBuildError(test_info.programs[j]); goto exit; }
double sum = 0.0;
double bestTime = INFINITY;
for( i = 0; i < PERF_LOOP_COUNT; i++ )
{
uint64_t startTime = GetTime();
if( (error = clEnqueueNDRangeKernel(gQueue, test_info.k[j][0], 1, NULL, &localCount, NULL, 0, NULL, NULL)) )
{
vlog_error( "FAILED -- 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 / (BUFFER_SIZE / sizeof( float ) );
vlog_perf( clocksPerOp, LOWER_IS_BETTER, "clocks / element", "%sf%s", f->name, sizeNames[j] );
}
}
vlog( "\n" );
exit:
for( i = gMinVectorSizeIndex; i < gMaxVectorSizeIndex; i++ )
{
clReleaseProgram(test_info.programs[i]);
if( test_info.k[i] )
{
for( j = 0; j < test_info.threadCount; j++ )
clReleaseKernel(test_info.k[i][j]);
free( test_info.k[i] );
}
}
if( test_info.tinfo )
{
for( i = 0; i < test_info.threadCount; i++ )
{
clReleaseMemObject(test_info.tinfo[i].inBuf);
for( j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++ )
clReleaseMemObject(test_info.tinfo[i].outBuf[j]);
clReleaseCommandQueue(test_info.tinfo[i].tQueue);
}
free( test_info.tinfo );
}
return error;
}
static cl_int TestFloat( cl_uint job_id, cl_uint thread_id, void *data )
{
const TestInfo *job = (const TestInfo *) data;
size_t buffer_elements = job->subBufferSize;
size_t buffer_size = buffer_elements * sizeof( cl_float );
cl_uint scale = job->scale;
cl_uint base = job_id * (cl_uint) job->step;
ThreadInfo *tinfo = job->tinfo + thread_id;
fptr func = job->f->func;
int ftz = job->ftz;
cl_uint j, k;
cl_int error = CL_SUCCESS;
const char *name = job->f->name;
int signbit_test = 0;
if(!strcmp(name, "signbit"))
signbit_test = 1;
#define ref_func(s) ( signbit_test ? func.i_f_f( s ) : func.i_f( s ) )
// start the map of the output arrays
cl_event e[ VECTOR_SIZE_COUNT ];
cl_int *out[ VECTOR_SIZE_COUNT ];
for( j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++ )
{
out[j] = (cl_int*) clEnqueueMapBuffer( tinfo->tQueue, tinfo->outBuf[j], CL_FALSE, CL_MAP_WRITE, 0, buffer_size, 0, NULL, e + j, &error);
if( error || NULL == out[j])
{
vlog_error( "Error: clEnqueueMapBuffer %d failed! err: %d\n", j, error );
return error;
}
}
// Get that moving
if( (error = clFlush(tinfo->tQueue) ))
vlog( "clFlush failed\n" );
// Write the new values to the input array
cl_uint *p = (cl_uint*) gIn + thread_id * buffer_elements;
for( j = 0; j < buffer_elements; j++ )
p[j] = base + j * scale;
if( (error = clEnqueueWriteBuffer( tinfo->tQueue, tinfo->inBuf, CL_FALSE, 0, buffer_size, p, 0, NULL, NULL) ))
{
vlog_error( "Error: clEnqueueWriteBuffer failed! err: %d\n", error );
return error;
}
for( j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++ )
{
//Wait for the map to finish
if( (error = clWaitForEvents(1, e + j) ))
{
vlog_error( "Error: clWaitForEvents failed! err: %d\n", error );
return error;
}
if( (error = clReleaseEvent( e[j] ) ))
{
vlog_error( "Error: clReleaseEvent failed! err: %d\n", error );
return error;
}
// Fill the result buffer with garbage, so that old results don't carry over
uint32_t pattern = 0xffffdead;
memset_pattern4(out[j], &pattern, buffer_size);
if( (error = clEnqueueUnmapMemObject( tinfo->tQueue, tinfo->outBuf[j], out[j], 0, NULL, NULL) ))
{
vlog_error( "Error: clEnqueueMapBuffer failed! err: %d\n", error );
return error;
}
// run the kernel
size_t vectorCount = (buffer_elements + sizeValues[j] - 1) / sizeValues[j];
cl_kernel kernel = job->k[j][thread_id]; //each worker thread has its own copy of the cl_kernel
cl_program program = job->programs[j];
if( ( error = clSetKernelArg( kernel, 0, sizeof( tinfo->outBuf[j] ), &tinfo->outBuf[j] ))){ LogBuildError(program); return error; }
if( ( error = clSetKernelArg( kernel, 1, sizeof( tinfo->inBuf ), &tinfo->inBuf ) )) { LogBuildError(program); return error; }
if( (error = clEnqueueNDRangeKernel(tinfo->tQueue, kernel, 1, NULL, &vectorCount, NULL, 0, NULL, NULL)))
{
vlog_error( "FAILED -- could not execute kernel\n" );
return error;
}
}
// Get that moving
if( (error = clFlush(tinfo->tQueue) ))
vlog( "clFlush 2 failed\n" );
if( gSkipCorrectnessTesting )
return CL_SUCCESS;
//Calculate the correctly rounded reference result
cl_int *r = (cl_int *)gOut_Ref + thread_id * buffer_elements;
float *s = (float *)p;
for( j = 0; j < buffer_elements; j++ )
r[j] = ref_func( s[j] );
// Read the data back -- no need to wait for the first N-1 buffers. This is an in order queue.
for( j = gMinVectorSizeIndex; j + 1 < gMaxVectorSizeIndex; j++ )
{
out[j] = (cl_int*) clEnqueueMapBuffer( tinfo->tQueue, tinfo->outBuf[j], CL_FALSE, CL_MAP_READ, 0, buffer_size, 0, NULL, NULL, &error);
if( error || NULL == out[j] )
{
vlog_error( "Error: clEnqueueMapBuffer %d failed! err: %d\n", j, error );
return error;
}
}
// Wait for the last buffer
out[j] = (cl_int*) clEnqueueMapBuffer( tinfo->tQueue, tinfo->outBuf[j], CL_TRUE, CL_MAP_READ, 0, buffer_size, 0, NULL, NULL, &error);
if( error || NULL == out[j] )
{
vlog_error( "Error: clEnqueueMapBuffer %d failed! err: %d\n", j, error );
return error;
}
//Verify data
cl_int *t = (cl_int *)r;
for( j = 0; j < buffer_elements; j++ )
{
for( k = gMinVectorSizeIndex; k < gMaxVectorSizeIndex; k++ )
{
cl_int *q = out[0];
// If we aren't getting the correctly rounded result
if( gMinVectorSizeIndex == 0 && t[j] != q[j])
{
// If we aren't getting the correctly rounded result
if( ftz )
{
if( IsFloatSubnormal( s[j]) )
{
int correct = ref_func( +0.0f );
int correct2 = ref_func( -0.0f );
if( correct == q[j] || correct2 == q[j] )
continue;
}
}
uint32_t err = t[j] - q[j];
if( q[j] > t[j] )
err = q[j] - t[j];
vlog_error( "\nERROR: %s: %d ulp error at %a: *%d vs. %d\n", name, err, ((float*) s)[j], t[j], q[j] );
error = -1;
goto exit;
}
for( k = MAX(1, gMinVectorSizeIndex); k < gMaxVectorSizeIndex; k++ )
{
q = out[k];
// If we aren't getting the correctly rounded result
if( -t[j] != q[j] )
{
if( ftz )
{
if( IsFloatSubnormal( s[j]))
{
int correct = -ref_func( +0.0f );
int correct2 = -ref_func( -0.0f );
if( correct == q[j] || correct2 == q[j] )
continue;
}
}
uint32_t err = -t[j] - q[j];
if( q[j] > -t[j] )
err = q[j] + t[j];
vlog_error( "\nERROR: %s%s: %d ulp error at %a: *%d vs. %d\n", name, sizeNames[k], err, ((float*) s)[j], -t[j], q[j] );
error = -1;
goto exit;
}
}
}
}
exit:
for( j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++ )
{
if( (error = clEnqueueUnmapMemObject( tinfo->tQueue, tinfo->outBuf[j], out[j], 0, NULL, NULL)) )
{
vlog_error( "Error: clEnqueueUnmapMemObject %d failed 2! err: %d\n", j, error );
return error;
}
}
if( (error = clFlush(tinfo->tQueue) ))
vlog( "clFlush 3 failed\n" );
if( 0 == ( base & 0x0fffffff) )
{
if (gVerboseBruteForce)
{
vlog("base:%14u step:%10u scale:%10u buf_elements:%10zd ThreadCount:%2u\n", base, job->step, job->scale, buffer_elements, job->threadCount);
} else
{
vlog("." );
}
fflush(stdout);
}
return error;
}
static cl_int TestDouble( cl_uint job_id, cl_uint thread_id, void *data );
int TestMacro_Int_Double(const Func *f, MTdata d)
{
TestInfo test_info;
cl_int error;
size_t i, j;
logFunctionInfo(f->name,sizeof(cl_double),gTestFastRelaxed);
// Init test_info
memset( &test_info, 0, sizeof( test_info ) );
test_info.threadCount = GetThreadCount();
test_info.subBufferSize = BUFFER_SIZE / (sizeof( cl_double) * RoundUpToNextPowerOfTwo(test_info.threadCount));
test_info.scale = 1;
if (gWimpyMode )
{
test_info.subBufferSize = gWimpyBufferSize / (sizeof( cl_double) * RoundUpToNextPowerOfTwo(test_info.threadCount));
test_info.scale = (cl_uint) sizeof(cl_double) * 2 * gWimpyReductionFactor;
}
test_info.step = (cl_uint) test_info.subBufferSize * test_info.scale;
test_info.f = f;
test_info.ftz = f->ftz || gForceFTZ;
// cl_kernels aren't thread safe, so we make one for each vector size for every thread
for( i = gMinVectorSizeIndex; i < gMaxVectorSizeIndex; i++ )
{
size_t array_size = test_info.threadCount * sizeof( cl_kernel );
test_info.k[i] = (cl_kernel*)malloc( array_size );
if( NULL == test_info.k[i] )
{
vlog_error( "Error: Unable to allocate storage for kernels!\n" );
error = CL_OUT_OF_HOST_MEMORY;
goto exit;
}
memset( test_info.k[i], 0, array_size );
}
test_info.tinfo = (ThreadInfo*)malloc( test_info.threadCount * sizeof(*test_info.tinfo) );
if( NULL == test_info.tinfo )
{
vlog_error( "Error: Unable to allocate storage for thread specific data.\n" );
error = CL_OUT_OF_HOST_MEMORY;
goto exit;
}
memset( test_info.tinfo, 0, test_info.threadCount * sizeof(*test_info.tinfo) );
for( i = 0; i < test_info.threadCount; i++ )
{
cl_buffer_region region = { i * test_info.subBufferSize * sizeof( cl_double), test_info.subBufferSize * sizeof( cl_double) };
test_info.tinfo[i].inBuf = clCreateSubBuffer( gInBuffer, CL_MEM_READ_ONLY, CL_BUFFER_CREATE_TYPE_REGION, &region, &error);
if( error || NULL == test_info.tinfo[i].inBuf)
{
vlog_error( "Error: Unable to create sub-buffer of gInBuffer for region {%zd, %zd}\n", region.origin, region.size );
goto exit;
}
for( j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++ )
{
/* Qualcomm fix: 9461 read-write flags must be compatible with parent buffer */
test_info.tinfo[i].outBuf[j] = clCreateSubBuffer( gOutBuffer[j], CL_MEM_WRITE_ONLY, CL_BUFFER_CREATE_TYPE_REGION, &region, &error);
/* Qualcomm fix: end */
if( error || NULL == test_info.tinfo[i].outBuf[j] )
{
vlog_error( "Error: Unable to create sub-buffer of gInBuffer for region {%zd, %zd}\n", region.origin, region.size );
goto exit;
}
}
test_info.tinfo[i].tQueue = clCreateCommandQueueWithProperties(gContext, gDevice, 0, &error);
if( NULL == test_info.tinfo[i].tQueue || error )
{
vlog_error( "clCreateCommandQueue failed. (%d)\n", error );
goto exit;
}
}
// Init the kernels
{
BuildKernelInfo build_info = { gMinVectorSizeIndex, test_info.threadCount, test_info.k, test_info.programs, f->nameInCode };
if( (error = ThreadPool_Do( BuildKernel_DoubleFn, gMaxVectorSizeIndex - gMinVectorSizeIndex, &build_info ) ))
goto exit;
}
if( !gSkipCorrectnessTesting )
{
error = ThreadPool_Do( TestDouble, (cl_uint) ((1ULL<<32) / test_info.step), &test_info );
if( error )
goto exit;
if( gWimpyMode )
vlog( "Wimp pass" );
else
vlog( "passed" );
}
if( gMeasureTimes )
{
//Init input array
cl_ulong *p = (cl_ulong *)gIn;
for( j = 0; j < BUFFER_SIZE / sizeof( cl_double ); j++ )
p[j] = DoubleFromUInt32(genrand_int32(d));
if( (error = clEnqueueWriteBuffer(gQueue, gInBuffer, CL_FALSE, 0, BUFFER_SIZE, 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 = (BUFFER_SIZE + vectorSize - 1) / vectorSize;
if( ( error = clSetKernelArg( test_info.k[j][0], 0, sizeof( gOutBuffer[j] ), &gOutBuffer[j] ) )) { LogBuildError(test_info.programs[j]); goto exit; }
if( ( error = clSetKernelArg( test_info.k[j][0], 1, sizeof( gInBuffer ), &gInBuffer ) )) { LogBuildError(test_info.programs[j]); goto exit; }
double sum = 0.0;
double bestTime = INFINITY;
for( i = 0; i < PERF_LOOP_COUNT; i++ )
{
uint64_t startTime = GetTime();
if( (error = clEnqueueNDRangeKernel(gQueue, test_info.k[j][0], 1, NULL, &localCount, NULL, 0, NULL, NULL)) )
{
vlog_error( "FAILED -- 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 / (BUFFER_SIZE / sizeof( double ) );
vlog_perf( clocksPerOp, LOWER_IS_BETTER, "clocks / element", "%sD%s", f->name, sizeNames[j] );
}
for( ; j < gMaxVectorSizeIndex; j++ )
vlog( "\t -- " );
}
vlog( "\n" );
exit:
for( i = gMinVectorSizeIndex; i < gMaxVectorSizeIndex; i++ )
{
clReleaseProgram(test_info.programs[i]);
if( test_info.k[i] )
{
for( j = 0; j < test_info.threadCount; j++ )
clReleaseKernel(test_info.k[i][j]);
free( test_info.k[i] );
}
}
if( test_info.tinfo )
{
for( i = 0; i < test_info.threadCount; i++ )
{
clReleaseMemObject(test_info.tinfo[i].inBuf);
for( j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++ )
clReleaseMemObject(test_info.tinfo[i].outBuf[j]);
clReleaseCommandQueue(test_info.tinfo[i].tQueue);
}
free( test_info.tinfo );
}
return error;
}
static cl_int TestDouble( cl_uint job_id, cl_uint thread_id, void *data )
{
const TestInfo *job = (const TestInfo *) data;
size_t buffer_elements = job->subBufferSize;
size_t buffer_size = buffer_elements * sizeof( cl_double );
cl_uint scale = job->scale;
cl_uint base = job_id * (cl_uint) job->step;
ThreadInfo *tinfo = job->tinfo + thread_id;
dptr dfunc = job->f->dfunc;
cl_uint j, k;
cl_int error;
int ftz = job->ftz;
const char *name = job->f->name;
Force64BitFPUPrecision();
// start the map of the output arrays
cl_event e[ VECTOR_SIZE_COUNT ];
cl_long *out[ VECTOR_SIZE_COUNT ];
for( j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++ )
{
out[j] = (cl_long*) clEnqueueMapBuffer( tinfo->tQueue, tinfo->outBuf[j], CL_FALSE, CL_MAP_WRITE, 0, buffer_size, 0, NULL, e + j, &error);
if( error || NULL == out[j])
{
vlog_error( "Error: clEnqueueMapBuffer %d failed! err: %d\n", j, error );
return error;
}
}
// Get that moving
if( (error = clFlush(tinfo->tQueue) ))
vlog( "clFlush failed\n" );
// Write the new values to the input array
cl_double *p = (cl_double*) gIn + thread_id * buffer_elements;
for( j = 0; j < buffer_elements; j++ )
p[j] = DoubleFromUInt32( base + j * scale);
if( (error = clEnqueueWriteBuffer( tinfo->tQueue, tinfo->inBuf, CL_FALSE, 0, buffer_size, p, 0, NULL, NULL) ))
{
vlog_error( "Error: clEnqueueWriteBuffer failed! err: %d\n", error );
return error;
}
for( j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++ )
{
//Wait for the map to finish
if( (error = clWaitForEvents(1, e + j) ))
{
vlog_error( "Error: clWaitForEvents failed! err: %d\n", error );
return error;
}
if( (error = clReleaseEvent( e[j] ) ))
{
vlog_error( "Error: clReleaseEvent failed! err: %d\n", error );
return error;
}
// Fill the result buffer with garbage, so that old results don't carry over
uint32_t pattern = 0xffffdead;
memset_pattern4(out[j], &pattern, buffer_size);
if( (error = clEnqueueUnmapMemObject( tinfo->tQueue, tinfo->outBuf[j], out[j], 0, NULL, NULL) ))
{
vlog_error( "Error: clEnqueueMapBuffer failed! err: %d\n", error );
return error;
}
// run the kernel
size_t vectorCount = (buffer_elements + sizeValues[j] - 1) / sizeValues[j];
cl_kernel kernel = job->k[j][thread_id]; //each worker thread has its own copy of the cl_kernel
cl_program program = job->programs[j];
if( ( error = clSetKernelArg( kernel, 0, sizeof( tinfo->outBuf[j] ), &tinfo->outBuf[j] ))){ LogBuildError(program); return error; }
if( ( error = clSetKernelArg( kernel, 1, sizeof( tinfo->inBuf ), &tinfo->inBuf ) )) { LogBuildError(program); return error; }
if( (error = clEnqueueNDRangeKernel(tinfo->tQueue, kernel, 1, NULL, &vectorCount, NULL, 0, NULL, NULL)))
{
vlog_error( "FAILED -- could not execute kernel\n" );
return error;
}
}
// Get that moving
if( (error = clFlush(tinfo->tQueue) ))
vlog( "clFlush 2 failed\n" );
if( gSkipCorrectnessTesting )
return CL_SUCCESS;
//Calculate the correctly rounded reference result
cl_long *r = (cl_long *)gOut_Ref + thread_id * buffer_elements;
cl_double *s = (cl_double *)p;
for( j = 0; j < buffer_elements; j++ )
r[j] = dfunc.i_f( s[j] );
// Read the data back -- no need to wait for the first N-1 buffers. This is an in order queue.
for( j = gMinVectorSizeIndex; j + 1 < gMaxVectorSizeIndex; j++ )
{
out[j] = (cl_long*) clEnqueueMapBuffer( tinfo->tQueue, tinfo->outBuf[j], CL_FALSE, CL_MAP_READ, 0, buffer_size, 0, NULL, NULL, &error);
if( error || NULL == out[j] )
{
vlog_error( "Error: clEnqueueMapBuffer %d failed! err: %d\n", j, error );
return error;
}
}
// Wait for the last buffer
out[j] = (cl_long*) clEnqueueMapBuffer( tinfo->tQueue, tinfo->outBuf[j], CL_TRUE, CL_MAP_READ, 0, buffer_size, 0, NULL, NULL, &error);
if( error || NULL == out[j] )
{
vlog_error( "Error: clEnqueueMapBuffer %d failed! err: %d\n", j, error );
return error;
}
//Verify data
cl_long *t = (cl_long *)r;
for( j = 0; j < buffer_elements; j++ )
{
cl_long *q = out[0];
// If we aren't getting the correctly rounded result
if( gMinVectorSizeIndex == 0 && t[j] != q[j])
{
// If we aren't getting the correctly rounded result
if( ftz )
{
if( IsDoubleSubnormal( s[j]) )
{
cl_long correct = dfunc.i_f( +0.0f );
cl_long correct2 = dfunc.i_f( -0.0f );
if( correct == q[j] || correct2 == q[j] )
continue;
}
}
cl_ulong err = t[j] - q[j];
if( q[j] > t[j] )
err = q[j] - t[j];
vlog_error( "\nERROR: %sD: %zd ulp error at %.13la: *%zd vs. %zd\n", name, err, ((double*) gIn)[j], t[j], q[j] );
return -1;
}
for( k = MAX(1, gMinVectorSizeIndex); k < gMaxVectorSizeIndex; k++ )
{
q = out[k];
// If we aren't getting the correctly rounded result
if( -t[j] != q[j] )
{
if( ftz )
{
if( IsDoubleSubnormal( s[j]))
{
int64_t correct = -dfunc.i_f( +0.0f );
int64_t correct2 = -dfunc.i_f( -0.0f );
if( correct == q[j] || correct2 == q[j] )
continue;
}
}
cl_ulong err = -t[j] - q[j];
if( q[j] > -t[j] )
err = q[j] + t[j];
vlog_error( "\nERROR: %sD%s: %zd ulp error at %.13la: *%zd vs. %zd\n", name, sizeNames[k], err, ((double*) gIn)[j], -t[j], q[j] );
return -1;
}
}
}
for( j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++ )
{
if( (error = clEnqueueUnmapMemObject( tinfo->tQueue, tinfo->outBuf[j], out[j], 0, NULL, NULL)) )
{
vlog_error( "Error: clEnqueueUnmapMemObject %d failed 2! err: %d\n", j, error );
return error;
}
}
if( (error = clFlush(tinfo->tQueue) ))
vlog( "clFlush 3 failed\n" );
if( 0 == ( base & 0x0fffffff) )
{
if (gVerboseBruteForce)
{
vlog("base:%14u step:%10u scale:%10u buf_elements:%10zd ThreadCount:%2u\n", base, job->step, job->scale, buffer_elements, job->threadCount);
} else
{
vlog("." );
}
fflush(stdout);
}
return CL_SUCCESS;
}
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