//
// 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"

#if defined( __APPLE__ )
    #include <sys/time.h>
#endif

int TestFunc_Float_Float(const Func *f, MTdata, bool relaxedMode);
int TestFunc_Double_Double(const Func *f, MTdata, bool relaxedMode);

extern const vtbl _unary = { "unary", TestFunc_Float_Float,
                             TestFunc_Double_Double };

static int BuildKernel(const char *name, int vectorSize, cl_uint kernel_count,
                       cl_kernel *k, cl_program *p, bool relaxedMode);
static int BuildKernelDouble(const char *name, int vectorSize,
                             cl_uint kernel_count, cl_kernel *k, cl_program *p,
                             bool relaxedMode);

static int BuildKernel(const char *name, int vectorSize, cl_uint kernel_count,
                       cl_kernel *k, cl_program *p, bool relaxedMode)
{
    const char *c[] = {
                            "__kernel void math_kernel", sizeNames[vectorSize], "( __global float", 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 float* 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"
                            "       f0 = ", name, "( f0 );\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"
                            "       float3 f0;\n"
                            "       switch( parity )\n"
                            "       {\n"
                            "           case 1:\n"
                            "               f0 = (float3)( in[3*i], NAN, NAN ); \n"
                            "               break;\n"
                            "           case 0:\n"
                            "               f0 = (float3)( in[3*i], in[3*i+1], NAN ); \n"
                            "               break;\n"
                            "       }\n"
                            "       f0 = ", name, "( f0 );\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 MakeKernels(kern, (cl_uint)kernSize, testName, kernel_count, k, p,
                       relaxedMode);
}

static int BuildKernelDouble(const char *name, int vectorSize,
                             cl_uint kernel_count, cl_kernel *k, cl_program *p,
                             bool relaxedMode)
{
    const char *c[] = {     "#pragma OPENCL EXTENSION cl_khr_fp64 : enable\n",
                            "__kernel void math_kernel", sizeNames[vectorSize], "( __global double", 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 double* out, __global double* in)\n"
                        "{\n"
                        "   size_t i = get_global_id(0);\n"
                        "   if( i + 1 < get_global_size(0) )\n"
                        "   {\n"
                        "       double3 f0 = vload3( 0, in + 3 * i );\n"
                        "       f0 = ", name, "( f0 );\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"
                        "       double3 f0;\n"
                        "       switch( parity )\n"
                        "       {\n"
                        "           case 1:\n"
                        "               f0 = (double3)( in[3*i], NAN, NAN ); \n"
                        "               break;\n"
                        "           case 0:\n"
                        "               f0 = (double3)( in[3*i], in[3*i+1], NAN ); \n"
                        "               break;\n"
                        "       }\n"
                        "       f0 = ", name, "( f0 );\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 MakeKernels(kern, (cl_uint)kernSize, testName, kernel_count, k, p,
                       relaxedMode);
}

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;
    bool relaxedMode; // Whether to build with -cl-fast-relaxed-math.
}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, info->relaxedMode);
}

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,
                             info->relaxedMode);
}

//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
    float       maxError;                           // max error value. Init to 0.
    double      maxErrorValue;                      // position of the max error value.  Init to 0.
    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     jobCount;                           // Number of jobs
    cl_uint     step;                               // step between each chunk and the next.
    cl_uint     scale;                              // stride between individual test values
    float       ulps;                               // max_allowed ulps
    int         ftz;                                // non-zero if running in flush to zero mode

    int         isRangeLimited;                     // 1 if the function is only to be evaluated over a range
    float       half_sin_cos_tan_limit;
    bool relaxedMode; // True if test is to be run in relaxed mode, false
                      // otherwise.
}TestInfo;

static cl_int TestFloat( cl_uint job_id, cl_uint thread_id, void *p );

int TestFunc_Float_Float(const Func *f, MTdata d, bool relaxedMode)
{
    TestInfo    test_info;
    cl_int      error;
    size_t      i, j;
    float       maxError = 0.0f;
    double      maxErrorVal = 0.0;
    int skipTestingRelaxed = (relaxedMode && strcmp(f->name, "tan") == 0);

    logFunctionInfo(f->name, sizeof(cl_float), relaxedMode);

    // 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 = getTestScale(sizeof(cl_float));
    if (gWimpyMode)
    {
        test_info.subBufferSize = gWimpyBufferSize / (sizeof( cl_float) * RoundUpToNextPowerOfTwo(test_info.threadCount));
    }

    test_info.step = (cl_uint) test_info.subBufferSize * test_info.scale;
    if (test_info.step / test_info.subBufferSize != test_info.scale)
    {
        //there was overflow
        test_info.jobCount = 1;
    }
    else
    {
        test_info.jobCount = (cl_uint)((1ULL << 32) / test_info.step);
    }

    test_info.f = f;
    test_info.ulps = gIsEmbedded ? f->float_embedded_ulps : f->float_ulps;
    test_info.ftz = f->ftz || gForceFTZ || 0 == (CL_FP_DENORM & gFloatCapabilities);
    test_info.relaxedMode = relaxedMode;
    // 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 gInBuffer for region {%zd, %zd}\n", region.origin, region.size );
                goto exit;
            }
        }
        test_info.tinfo[i].tQueue = clCreateCommandQueue(gContext, gDevice, 0, &error);
        if( NULL == test_info.tinfo[i].tQueue || error )
        {
            vlog_error( "clCreateCommandQueue failed. (%d)\n", error );
            goto exit;
        }

    }

    // Check for special cases for unary float
    test_info.isRangeLimited = 0;
    test_info.half_sin_cos_tan_limit = 0;
    if( 0 == strcmp( f->name, "half_sin") || 0 == strcmp( f->name, "half_cos") )
    {
        test_info.isRangeLimited = 1;
        test_info.half_sin_cos_tan_limit = 1.0f + test_info.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"))
    {
        test_info.isRangeLimited = 1;
        test_info.half_sin_cos_tan_limit = INFINITY;             // out of range resut from finite inputs must be numeric
    }

    // Init the kernels
    {
        BuildKernelInfo build_info = {
            gMinVectorSizeIndex, test_info.threadCount, test_info.k,
            test_info.programs,  f->nameInCode,         relaxedMode
        };
        if( (error = ThreadPool_Do( BuildKernel_FloatFn, gMaxVectorSizeIndex - gMinVectorSizeIndex, &build_info ) ))
            goto exit;
    }

    if( !gSkipCorrectnessTesting || skipTestingRelaxed)
    {
        error = ThreadPool_Do( TestFloat, test_info.jobCount, &test_info );

        // Accumulate the arithmetic errors
        for( i = 0; i < test_info.threadCount; i++ )
        {
            if( test_info.tinfo[i].maxError > maxError )
            {
                maxError = test_info.tinfo[i].maxError;
                maxErrorVal = test_info.tinfo[i].maxErrorValue;
            }
        }

        if( error )
            goto exit;

        if( gWimpyMode )
            vlog( "Wimp pass" );
        else
            vlog( "passed" );

        if( skipTestingRelaxed )
        {
          vlog(" (rlx skip correctness testing)\n");
          goto exit;
        }
    }

    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 < BUFFER_SIZE / sizeof( float ); j++ )
                ((float*)p)[j] = (float) genrand_real1(d);
        else if( strstr( f->name, "log" ) )
            for( j = 0; j < BUFFER_SIZE / sizeof( float ); j++ )
                p[j] = genrand_int32(d) & 0x7fffffff;
        else
            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 = sizeValues[j] * sizeof(cl_float);
            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 current_time = SubtractTime( endTime, startTime );
                sum += current_time;
                if( current_time < bestTime )
                    bestTime = current_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] );
        }
    }

    if( ! gSkipCorrectnessTesting )
        vlog( "\t%8.2f @ %a", maxError, maxErrorVal );
    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;
    const char * fname = job->f->name;
    bool relaxedMode = job->relaxedMode;
    float ulps = getAllowedUlpError(job->f, relaxedMode);
    if (relaxedMode)
    {
        func = job->f->rfunc;
    }

    cl_uint j, k;
    cl_int error;

    int isRangeLimited = job->isRangeLimited;
    float half_sin_cos_tan_limit = job->half_sin_cos_tan_limit;
    int ftz = job->ftz;

    // start the map of the output arrays
    cl_event e[ VECTOR_SIZE_COUNT ];
    cl_uint  *out[ VECTOR_SIZE_COUNT ];
    for( j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++ )
    {
        out[j] = (uint32_t*) 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 (relaxedMode)
      {
        float p_j = *(float *) &p[j];
        if ( strcmp(fname,"sin")==0 || strcmp(fname,"cos")==0 )  //the domain of the function is [-pi,pi]
        {
            if (fabs(p_j) > M_PI) ((float *)p)[j] = NAN;
        }

        if ( strcmp( fname, "reciprocal" ) == 0 )
        {
            const float l_limit = HEX_FLT(+, 1, 0, -, 126);
            const float u_limit = HEX_FLT(+, 1, 0, +, 126);

            if (fabs(p_j) < l_limit
                || fabs(p_j)
                    > u_limit) // the domain of the function is [2^-126,2^126]
                ((float *)p)[j] = NAN;
        }
      }
    }

    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
    float *r = (float *)gOut_Ref + thread_id * buffer_elements;
    float *s = (float *)p;
    for( j = 0; j < buffer_elements; j++ )
        r[j] = (float) func.f_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] = (uint32_t*) 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] = (uint32_t*) 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
    uint32_t *t = (uint32_t *)r;
    for( j = 0; j < buffer_elements; j++ )
    {
        for( k = gMinVectorSizeIndex; k < gMaxVectorSizeIndex; k++ )
        {
            uint32_t *q = out[k];

            // If we aren't getting the correctly rounded result
            if( t[j] != q[j] )
            {
                float test = ((float*) q)[j];
                double correct = func.f_f( s[j] );
                float err = Ulp_Error( test, correct );
                float abs_error = Abs_Error( test, correct );
                int fail = 0;
                int use_abs_error = 0;

                // it is possible for the output to not match the reference result but for Ulp_Error
                // to be zero, for example -1.#QNAN vs. 1.#QNAN. In such cases there is no failure
                if (err == 0.0f)
                {
                    fail = 0;
                }
                else if (relaxedMode)
                {
                    if ( strcmp(fname,"sin")==0 || strcmp(fname,"cos")==0 )
                    {
                        fail = ! (fabsf(abs_error) <= ulps);
                        use_abs_error = 1;
                    }
                    if (strcmp(fname, "sinpi") == 0
                        || strcmp(fname, "cospi") == 0)
                    {
                        if (s[j] >= -1.0 && s[j] <= 1.0)
                        {
                            fail = !(fabsf(abs_error) <= ulps);
                            use_abs_error = 1;
                        }
                    }

                    if ( strcmp(fname, "reciprocal") == 0 )
                    {
                        fail = ! (fabsf(err) <= ulps);
                    }

                    if ( strcmp(fname, "exp") == 0 || strcmp(fname, "exp2") == 0 )
                    {
                        float exp_error = ulps;

                        if (!gIsEmbedded)
                        {
                            exp_error += floor(fabs(2 * s[j]));
                        }

                        fail = ! (fabsf(err) <= exp_error);
                        ulps = exp_error;
                    }
                    if (strcmp(fname, "tan") == 0) {

                        if(  !gFastRelaxedDerived )
                        {
                            fail = ! (fabsf(err) <= ulps);
                        }
                        // Else fast math derived implementation does not require ULP verification
                    }
                    if (strcmp(fname, "exp10") == 0)
                    {
                        if(  !gFastRelaxedDerived )
                        {
                            fail = ! (fabsf(err) <= ulps);
                        }
                        // Else fast math derived implementation does not require ULP verification
                    }
                    if (strcmp(fname, "log") == 0 || strcmp(fname, "log2") == 0
                        || strcmp(fname, "log10") == 0)
                    {
                        if( s[j] >= 0.5 && s[j] <= 2 )
                        {
                            fail = ! (fabsf(abs_error) <= ulps );
                        }
                        else
                        {
                            ulps = gIsEmbedded ? job->f->float_embedded_ulps : job->f->float_ulps;
                            fail = ! (fabsf(err) <= ulps);
                        }
                    }


                    // fast-relaxed implies finite-only
                    if( IsFloatInfinity(correct) || IsFloatNaN(correct)     ||
                        IsFloatInfinity(s[j])    || IsFloatNaN(s[j])        ) {
                        fail = 0;
                        err = 0;
                    }
                }
                else
                {
                  fail = ! (fabsf(err) <= 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 )
                    {
                        typedef int (*CheckForSubnormal) (double,float); // If we are in fast relaxed math, we have a different calculation for the subnormal threshold.
                        CheckForSubnormal isFloatResultSubnormalPtr;

                        if (relaxedMode)
                        {
                          isFloatResultSubnormalPtr = &IsFloatResultSubnormalAbsError;
                        }
                        else
                        {
                          isFloatResultSubnormalPtr = &IsFloatResultSubnormal;
                        }
                        // retry per section 6.5.3.2
                        if( (*isFloatResultSubnormalPtr)(correct, ulps) )
                        {
                            fail = fail && ( test != 0.0f );
                            if( ! fail )
                                err = 0.0f;
                        }

                        // retry per section 6.5.3.3
                        if( IsFloatSubnormal( s[j] ) )
                        {
                            double correct2 = func.f_f( 0.0 );
                            double correct3 = func.f_f( -0.0 );
                            float err2;
                            float err3;
                            if( use_abs_error )
                            {
                              err2 = Abs_Error( test, correct2  );
                              err3 = Abs_Error( test, correct3  );
                            }
                            else
                            {
                              err2 = Ulp_Error( test, correct2  );
                              err3 = Ulp_Error( test, correct3  );
                            }
                            fail =  fail && ((!(fabsf(err2) <= ulps)) && (!(fabsf(err3) <= ulps)));
                            if( fabsf( err2 ) < fabsf(err ) )
                                err = err2;
                            if( fabsf( err3 ) < fabsf(err ) )
                                err = err3;

                            // retry per section 6.5.3.4
                            if( (*isFloatResultSubnormalPtr)(correct2, ulps ) || (*isFloatResultSubnormalPtr)(correct3, ulps ) )
                            {
                                fail = fail && ( test != 0.0f);
                                if( ! fail )
                                    err = 0.0f;
                            }
                        }
                    }
                }
                if( fabsf(err ) > tinfo->maxError )
                {
                    tinfo->maxError = fabsf(err);
                    tinfo->maxErrorValue = s[j];
                }
                if( fail )
                {
                    vlog_error( "\nERROR: %s%s: %f ulp error at %a (0x%8.8x): *%a vs. %a\n", job->f->name, sizeNames[k], err, ((float*) s)[j], ((uint32_t*) s)[j], ((float*) t)[j], test);
                    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 ulps:%5.3f ThreadCount:%2u\n", base, job->step, job->scale, buffer_elements, job->ulps, job->threadCount);
        } else
        {
            vlog("." );
        }
        fflush(stdout);
    }

    return CL_SUCCESS;
}


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;
    float   ulps = job->ulps;
    dptr    func = job->f->dfunc;
    cl_uint j, k;
    cl_int error;
    int ftz = job->ftz;

    Force64BitFPUPrecision();

    // start the map of the output arrays
    cl_event e[ VECTOR_SIZE_COUNT ];
    cl_ulong *out[ VECTOR_SIZE_COUNT ];
    for( j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++ )
    {
        out[j] = (cl_ulong*) 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_double *r = (cl_double *)gOut_Ref + thread_id * buffer_elements;
    cl_double *s = (cl_double *)p;
    for( j = 0; j < buffer_elements; j++ )
        r[j] = (cl_double) func.f_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_ulong*) 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_ulong*) 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_ulong *t = (cl_ulong *)r;
    for( j = 0; j < buffer_elements; j++ )
    {
        for( k = gMinVectorSizeIndex; k < gMaxVectorSizeIndex; k++ )
        {
            cl_ulong *q = out[k];

            // If we aren't getting the correctly rounded result
            if( t[j] != q[j] )
            {
                cl_double test = ((cl_double*) q)[j];
                long double correct = func.f_f( s[j] );
                float err = Bruteforce_Ulp_Error_Double( test, correct );
                int fail = ! (fabsf(err) <= ulps);

                if( fail )
                {
                    if( ftz )
                    {
                        // retry per section 6.5.3.2
                        if( IsDoubleResultSubnormal(correct, ulps) )
                        {
                            fail = fail && ( test != 0.0f );
                            if( ! fail )
                                err = 0.0f;
                        }

                        // retry per section 6.5.3.3
                        if( IsDoubleSubnormal( s[j] ) )
                        {
                            long double correct2 = func.f_f( 0.0L );
                            long double correct3 = func.f_f( -0.0L );
                            float err2 = Bruteforce_Ulp_Error_Double( test, correct2  );
                            float err3 = Bruteforce_Ulp_Error_Double( test, correct3  );
                            fail =  fail && ((!(fabsf(err2) <= ulps)) && (!(fabsf(err3) <= ulps)));
                            if( fabsf( err2 ) < fabsf(err ) )
                                err = err2;
                            if( fabsf( err3 ) < fabsf(err ) )
                                err = err3;

                            // retry per section 6.5.3.4
                            if( IsDoubleResultSubnormal(correct2, ulps ) || IsDoubleResultSubnormal(correct3, ulps ) )
                            {
                                fail = fail && ( test != 0.0f);
                                if( ! fail )
                                    err = 0.0f;
                            }
                        }
                    }
                }
                if( fabsf(err ) > tinfo->maxError )
                {
                    tinfo->maxError = fabsf(err);
                    tinfo->maxErrorValue = s[j];
                }
                if( fail )
                {
                    vlog_error( "\nERROR: %s%s: %f ulp error at %.13la (0x%16.16llx): *%.13la vs. %.13la\n", job->f->name, sizeNames[k], err, ((cl_double*) gIn)[j], ((cl_ulong*) gIn)[j], ((cl_double*) gOut_Ref)[j], test );
                    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:%10zd buf_elements:%10u ulps:%5.3f ThreadCount:%2u\n", base, job->step, buffer_elements, job->scale, job->ulps, job->threadCount);
        } else
        {
            vlog("." );
        }
        fflush(stdout);
    }

    return CL_SUCCESS;
}

int TestFunc_Double_Double(const Func *f, MTdata d, bool relaxedMode)
{
    TestInfo    test_info;
    cl_int      error;
    size_t      i, j;
    float       maxError = 0.0f;
    double      maxErrorVal = 0.0;
#if defined( __APPLE__ )
    struct timeval  time_val;
    gettimeofday( &time_val, NULL );
    double start_time = time_val.tv_sec + 1e-6 * time_val.tv_usec;
    double end_time;
#endif

    logFunctionInfo(f->name, sizeof(cl_double), relaxedMode);
    // 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 = getTestScale(sizeof(cl_double));
    if (gWimpyMode)
    {
        test_info.subBufferSize = gWimpyBufferSize / (sizeof( cl_double) * RoundUpToNextPowerOfTwo(test_info.threadCount));
    }

    test_info.step = (cl_uint) test_info.subBufferSize * test_info.scale;
    if (test_info.step / test_info.subBufferSize != test_info.scale)
    {
        //there was overflow
        test_info.jobCount = 1;
    }
    else
    {
        test_info.jobCount = (cl_uint)((1ULL << 32) / test_info.step);
    }

    test_info.f = f;
    test_info.ulps = f->double_ulps;
    test_info.ftz = f->ftz || gForceFTZ;
    test_info.relaxedMode = relaxedMode;

    // 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 = clCreateCommandQueue(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,         relaxedMode
        };
        if( (error = ThreadPool_Do( BuildKernel_DoubleFn, gMaxVectorSizeIndex - gMinVectorSizeIndex, &build_info ) ))
           goto exit;
    }

    if( !gSkipCorrectnessTesting )
    {
        error = ThreadPool_Do( TestDouble, test_info.jobCount, &test_info );

        // Accumulate the arithmetic errors
        for( i = 0; i < test_info.threadCount; i++ )
        {
            if( test_info.tinfo[i].maxError > maxError )
            {
                maxError = test_info.tinfo[i].maxError;
                maxErrorVal = test_info.tinfo[i].maxErrorValue;
            }
        }

        if( error )
            goto exit;

        if( gWimpyMode )
            vlog( "Wimp pass" );
        else
            vlog( "passed" );
    }


#if defined( __APPLE__ )
    gettimeofday( &time_val, NULL);
    end_time = time_val.tv_sec + 1e-6 * time_val.tv_usec;
#endif

    if( gMeasureTimes )
    {
        //Init input array
        double *p = (double *)gIn;

        if( strstr( f->name, "exp" ) )
            for( j = 0; j < BUFFER_SIZE / sizeof( double ); j++ )
                p[j] = (double)genrand_real1(d);
        else if( strstr( f->name, "log" ) )
            for( j = 0; j < BUFFER_SIZE / sizeof( double ); j++ )
                p[j] = fabs(DoubleFromUInt32( genrand_int32(d)));
        else
            for( j = 0; j < BUFFER_SIZE / sizeof( 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 current_time = SubtractTime( endTime, startTime );
                sum += current_time;
                if( current_time < bestTime )
                    bestTime = current_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     -- " );
    }

    if( ! gSkipCorrectnessTesting )
        vlog( "\t%8.2f @ %a", maxError, maxErrorVal );

#if defined( __APPLE__ )
    vlog( "\t(%2.2f seconds)", end_time - start_time );
#endif
    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;
}