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android / platform / external / OpenCL-CTS / refs/heads/android11-mainline-release / . / test_common / harness / imageHelpers.cpp
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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 "imageHelpers.h"
#include <limits.h>
#include <assert.h>
#if defined( __APPLE__ )
#include <sys/mman.h>
#endif
#if !defined (_WIN32) && !defined(__APPLE__)
#include <malloc.h>
#endif
#include <algorithm>
#include <iterator>
#if !defined (_WIN32)
#include <cmath>
#endif
RoundingMode gFloatToHalfRoundingMode = kDefaultRoundingMode;
static cl_ushort float2half_rte( float f );
static cl_ushort float2half_rtz( float f );
cl_device_type gDeviceType = CL_DEVICE_TYPE_DEFAULT;
bool gTestRounding = false;
double
sRGBmap(float fc)
{
double c = (double)fc;
#if !defined (_WIN32)
if (std::isnan(c))
c = 0.0;
#else
if (_isnan(c))
c = 0.0;
#endif
if (c > 1.0)
c = 1.0;
else if (c < 0.0)
c = 0.0;
else if (c < 0.0031308)
c = 12.92 * c;
else
c = (1055.0/1000.0) * pow(c, 5.0/12.0) - (55.0/1000.0);
return c * 255.0;
}
double
sRGBunmap(float fc)
{
double c = (double)fc;
double result;
if (c <= 0.04045)
result = c / 12.92;
else
result = pow((c + 0.055) / 1.055, 2.4);
return result;
}
size_t get_format_type_size( const cl_image_format *format )
{
return get_channel_data_type_size( format->image_channel_data_type );
}
size_t get_channel_data_type_size( cl_channel_type channelType )
{
switch( channelType )
{
case CL_SNORM_INT8:
case CL_UNORM_INT8:
case CL_SIGNED_INT8:
case CL_UNSIGNED_INT8:
return 1;
case CL_SNORM_INT16:
case CL_UNORM_INT16:
case CL_SIGNED_INT16:
case CL_UNSIGNED_INT16:
case CL_HALF_FLOAT:
#ifdef CL_SFIXED14_APPLE
case CL_SFIXED14_APPLE:
#endif
return sizeof( cl_short );
case CL_SIGNED_INT32:
case CL_UNSIGNED_INT32:
return sizeof( cl_int );
case CL_UNORM_SHORT_565:
case CL_UNORM_SHORT_555:
#ifdef OBSOLETE_FORAMT
case CL_UNORM_SHORT_565_REV:
case CL_UNORM_SHORT_555_REV:
#endif
return 2;
#ifdef OBSOLETE_FORAMT
case CL_UNORM_INT_8888:
case CL_UNORM_INT_8888_REV:
return 4;
#endif
case CL_UNORM_INT_101010:
#ifdef OBSOLETE_FORAMT
case CL_UNORM_INT_101010_REV:
#endif
return 4;
case CL_FLOAT:
return sizeof( cl_float );
default:
return 0;
}
}
size_t get_format_channel_count( const cl_image_format *format )
{
return get_channel_order_channel_count( format->image_channel_order );
}
size_t get_channel_order_channel_count( cl_channel_order order )
{
switch( order )
{
case CL_R:
case CL_A:
case CL_Rx:
case CL_INTENSITY:
case CL_LUMINANCE:
case CL_DEPTH:
case CL_DEPTH_STENCIL:
return 1;
case CL_RG:
case CL_RA:
case CL_RGx:
return 2;
case CL_RGB:
case CL_RGBx:
case CL_sRGB:
case CL_sRGBx:
return 3;
case CL_RGBA:
case CL_ARGB:
case CL_BGRA:
case CL_sRGBA:
case CL_sBGRA:
case CL_ABGR:
#ifdef CL_1RGB_APPLE
case CL_1RGB_APPLE:
#endif
#ifdef CL_BGR1_APPLE
case CL_BGR1_APPLE:
#endif
#ifdef CL_ABGR_APPLE
case CL_ABGR_APPLE:
#endif
return 4;
default:
log_error("%s does not support 0x%x\n",__FUNCTION__,order);
return 0;
}
}
cl_channel_type get_channel_type_from_name( const char *name )
{
struct {
cl_channel_type type;
const char *name;
} typeNames[] = {
{ CL_SNORM_INT8, "CL_SNORM_INT8" },
{ CL_SNORM_INT16, "CL_SNORM_INT16" },
{ CL_UNORM_INT8, "CL_UNORM_INT8" },
{ CL_UNORM_INT16, "CL_UNORM_INT16" },
{ CL_UNORM_INT24, "CL_UNORM_INT24" },
{ CL_UNORM_SHORT_565, "CL_UNORM_SHORT_565" },
{ CL_UNORM_SHORT_555, "CL_UNORM_SHORT_555" },
{ CL_UNORM_INT_101010, "CL_UNORM_INT_101010" },
{ CL_SIGNED_INT8, "CL_SIGNED_INT8" },
{ CL_SIGNED_INT16, "CL_SIGNED_INT16" },
{ CL_SIGNED_INT32, "CL_SIGNED_INT32" },
{ CL_UNSIGNED_INT8, "CL_UNSIGNED_INT8" },
{ CL_UNSIGNED_INT16, "CL_UNSIGNED_INT16" },
{ CL_UNSIGNED_INT32, "CL_UNSIGNED_INT32" },
{ CL_HALF_FLOAT, "CL_HALF_FLOAT" },
{ CL_FLOAT, "CL_FLOAT" },
#ifdef CL_SFIXED14_APPLE
{ CL_SFIXED14_APPLE, "CL_SFIXED14_APPLE" }
#endif
};
for( size_t i = 0; i < sizeof( typeNames ) / sizeof( typeNames[ 0 ] ); i++ )
{
if( strcmp( typeNames[ i ].name, name ) == 0 || strcmp( typeNames[ i ].name + 3, name ) == 0 )
return typeNames[ i ].type;
}
return (cl_channel_type)-1;
}
cl_channel_order get_channel_order_from_name( const char *name )
{
const struct
{
cl_channel_order order;
const char *name;
}orderNames[] =
{
{ CL_R, "CL_R" },
{ CL_A, "CL_A" },
{ CL_Rx, "CL_Rx" },
{ CL_RG, "CL_RG" },
{ CL_RA, "CL_RA" },
{ CL_RGx, "CL_RGx" },
{ CL_RGB, "CL_RGB" },
{ CL_RGBx, "CL_RGBx" },
{ CL_RGBA, "CL_RGBA" },
{ CL_BGRA, "CL_BGRA" },
{ CL_ARGB, "CL_ARGB" },
{ CL_INTENSITY, "CL_INTENSITY"},
{ CL_LUMINANCE, "CL_LUMINANCE"},
{ CL_DEPTH, "CL_DEPTH" },
{ CL_DEPTH_STENCIL, "CL_DEPTH_STENCIL" },
{ CL_sRGB, "CL_sRGB" },
{ CL_sRGBx, "CL_sRGBx" },
{ CL_sRGBA, "CL_sRGBA" },
{ CL_sBGRA, "CL_sBGRA" },
{ CL_ABGR, "CL_ABGR" },
#ifdef CL_1RGB_APPLE
{ CL_1RGB_APPLE, "CL_1RGB_APPLE" },
#endif
#ifdef CL_BGR1_APPLE
{ CL_BGR1_APPLE, "CL_BGR1_APPLE" },
#endif
};
for( size_t i = 0; i < sizeof( orderNames ) / sizeof( orderNames[ 0 ] ); i++ )
{
if( strcmp( orderNames[ i ].name, name ) == 0 || strcmp( orderNames[ i ].name + 3, name ) == 0 )
return orderNames[ i ].order;
}
return (cl_channel_order)-1;
}
int is_format_signed( const cl_image_format *format )
{
switch( format->image_channel_data_type )
{
case CL_SNORM_INT8:
case CL_SIGNED_INT8:
case CL_SNORM_INT16:
case CL_SIGNED_INT16:
case CL_SIGNED_INT32:
case CL_HALF_FLOAT:
case CL_FLOAT:
#ifdef CL_SFIXED14_APPLE
case CL_SFIXED14_APPLE:
#endif
return 1;
default:
return 0;
}
}
size_t get_pixel_size( cl_image_format *format )
{
switch( format->image_channel_data_type )
{
case CL_SNORM_INT8:
case CL_UNORM_INT8:
case CL_SIGNED_INT8:
case CL_UNSIGNED_INT8:
return get_format_channel_count( format );
case CL_SNORM_INT16:
case CL_UNORM_INT16:
case CL_SIGNED_INT16:
case CL_UNSIGNED_INT16:
case CL_HALF_FLOAT:
#ifdef CL_SFIXED14_APPLE
case CL_SFIXED14_APPLE:
#endif
return get_format_channel_count( format ) * sizeof( cl_ushort );
case CL_SIGNED_INT32:
case CL_UNSIGNED_INT32:
return get_format_channel_count( format ) * sizeof( cl_int );
case CL_UNORM_SHORT_565:
case CL_UNORM_SHORT_555:
#ifdef OBSOLETE_FORAMT
case CL_UNORM_SHORT_565_REV:
case CL_UNORM_SHORT_555_REV:
#endif
return 2;
#ifdef OBSOLETE_FORAMT
case CL_UNORM_INT_8888:
case CL_UNORM_INT_8888_REV:
return 4;
#endif
case CL_UNORM_INT_101010:
#ifdef OBSOLETE_FORAMT
case CL_UNORM_INT_101010_REV:
#endif
return 4;
case CL_FLOAT:
return get_format_channel_count( format ) * sizeof( cl_float );
default:
return 0;
}
}
int get_8_bit_image_format( cl_context context, cl_mem_object_type objType, cl_mem_flags flags, size_t channelCount, cl_image_format *outFormat )
{
cl_image_format formatList[ 128 ];
unsigned int outFormatCount, i;
int error;
/* Make sure each image format is supported */
if ((error = clGetSupportedImageFormats( context, flags, objType, 128, formatList, &outFormatCount )))
return error;
/* Look for one that is an 8-bit format */
for( i = 0; i < outFormatCount; i++ )
{
if( formatList[ i ].image_channel_data_type == CL_SNORM_INT8 ||
formatList[ i ].image_channel_data_type == CL_UNORM_INT8 ||
formatList[ i ].image_channel_data_type == CL_SIGNED_INT8 ||
formatList[ i ].image_channel_data_type == CL_UNSIGNED_INT8 )
{
if ( !channelCount || ( channelCount && ( get_format_channel_count( &formatList[ i ] ) == channelCount ) ) )
{
*outFormat = formatList[ i ];
return 0;
}
}
}
return -1;
}
int get_32_bit_image_format( cl_context context, cl_mem_object_type objType, cl_mem_flags flags, size_t channelCount, cl_image_format *outFormat )
{
cl_image_format formatList[ 128 ];
unsigned int outFormatCount, i;
int error;
/* Make sure each image format is supported */
if ((error = clGetSupportedImageFormats( context, flags, objType, 128, formatList, &outFormatCount )))
return error;
/* Look for one that is an 8-bit format */
for( i = 0; i < outFormatCount; i++ )
{
if( formatList[ i ].image_channel_data_type == CL_UNORM_INT_101010 ||
formatList[ i ].image_channel_data_type == CL_FLOAT ||
formatList[ i ].image_channel_data_type == CL_SIGNED_INT32 ||
formatList[ i ].image_channel_data_type == CL_UNSIGNED_INT32 )
{
if ( !channelCount || ( channelCount && ( get_format_channel_count( &formatList[ i ] ) == channelCount ) ) )
{
*outFormat = formatList[ i ];
return 0;
}
}
}
return -1;
}
int random_log_in_range( int minV, int maxV, MTdata d )
{
double v = log2( ( (double)genrand_int32(d) / (double)0xffffffff ) + 1 );
int iv = (int)( (float)( maxV - minV ) * v );
return iv + minV;
}
// Define the addressing functions
typedef int (*AddressFn)( int value, size_t maxValue );
int NoAddressFn( int value, size_t maxValue ) { return value; }
int RepeatAddressFn( int value, size_t maxValue )
{
if( value < 0 )
value += (int)maxValue;
else if( value >= (int)maxValue )
value -= (int)maxValue;
return value;
}
int MirroredRepeatAddressFn( int value, size_t maxValue )
{
if( value < 0 )
value = 0;
else if( (size_t) value >= maxValue )
value = (int) (maxValue - 1);
return value;
}
int ClampAddressFn( int value, size_t maxValue ) { return ( value < -1 ) ? -1 : ( ( value > (cl_long) maxValue ) ? (int)maxValue : value ); }
int ClampToEdgeNearestFn( int value, size_t maxValue ) { return ( value < 0 ) ? 0 : ( ( (size_t)value > maxValue - 1 ) ? (int)maxValue - 1 : value ); }
AddressFn ClampToEdgeLinearFn = ClampToEdgeNearestFn;
// Note: normalized coords get repeated in normalized space, not unnormalized space! hence the special case here
volatile float gFloatHome;
float RepeatNormalizedAddressFn( float fValue, size_t maxValue )
{
#ifndef _MSC_VER // Use original if not the VS compiler.
// General computation for repeat
return (fValue - floorf( fValue )) * (float) maxValue; // Reduce to [0, 1.f]
#else // Otherwise, use this instead:
// Home the subtraction to a float to break up the sequence of x87
// instructions emitted by the VS compiler.
gFloatHome = fValue - floorf(fValue);
return gFloatHome * (float)maxValue;
#endif
}
float MirroredRepeatNormalizedAddressFn( float fValue, size_t maxValue )
{
// Round to nearest multiple of two
float s_prime = 2.0f * rintf( fValue * 0.5f ); // Note halfway values flip flop here due to rte, but they both end up pointing the same place at the end of the day
// Reduce to [-1, 1], Apply mirroring -> [0, 1]
s_prime = fabsf( fValue - s_prime );
// un-normalize
return s_prime * (float) maxValue;
}
struct AddressingTable
{
AddressingTable()
{
ct_assert( ( CL_ADDRESS_MIRRORED_REPEAT - CL_ADDRESS_NONE < 6 ) );
ct_assert( CL_FILTER_NEAREST - CL_FILTER_LINEAR < 2 );
mTable[ CL_ADDRESS_NONE - CL_ADDRESS_NONE ][ CL_FILTER_NEAREST - CL_FILTER_NEAREST ] = NoAddressFn;
mTable[ CL_ADDRESS_NONE - CL_ADDRESS_NONE ][ CL_FILTER_LINEAR - CL_FILTER_NEAREST ] = NoAddressFn;
mTable[ CL_ADDRESS_REPEAT - CL_ADDRESS_NONE ][ CL_FILTER_NEAREST - CL_FILTER_NEAREST ] = RepeatAddressFn;
mTable[ CL_ADDRESS_REPEAT - CL_ADDRESS_NONE ][ CL_FILTER_LINEAR - CL_FILTER_NEAREST ] = RepeatAddressFn;
mTable[ CL_ADDRESS_CLAMP_TO_EDGE - CL_ADDRESS_NONE ][ CL_FILTER_NEAREST - CL_FILTER_NEAREST ] = ClampToEdgeNearestFn;
mTable[ CL_ADDRESS_CLAMP_TO_EDGE - CL_ADDRESS_NONE ][ CL_FILTER_LINEAR - CL_FILTER_NEAREST ] = ClampToEdgeLinearFn;
mTable[ CL_ADDRESS_CLAMP - CL_ADDRESS_NONE ][ CL_FILTER_NEAREST - CL_FILTER_NEAREST ] = ClampAddressFn;
mTable[ CL_ADDRESS_CLAMP - CL_ADDRESS_NONE ][ CL_FILTER_LINEAR - CL_FILTER_NEAREST ] = ClampAddressFn;
mTable[ CL_ADDRESS_MIRRORED_REPEAT - CL_ADDRESS_NONE ][ CL_FILTER_NEAREST - CL_FILTER_NEAREST ] = MirroredRepeatAddressFn;
mTable[ CL_ADDRESS_MIRRORED_REPEAT - CL_ADDRESS_NONE ][ CL_FILTER_LINEAR - CL_FILTER_NEAREST ] = MirroredRepeatAddressFn;
}
AddressFn operator[]( image_sampler_data *sampler )
{
return mTable[ (int)sampler->addressing_mode - CL_ADDRESS_NONE ][ (int)sampler->filter_mode - CL_FILTER_NEAREST ];
}
AddressFn mTable[ 6 ][ 2 ];
};
static AddressingTable sAddressingTable;
bool is_sRGBA_order(cl_channel_order image_channel_order){
switch (image_channel_order) {
case CL_sRGB:
case CL_sRGBx:
case CL_sRGBA:
case CL_sBGRA:
return true;
default:
return false;
}
}
// Format helpers
int has_alpha(cl_image_format *format) {
switch (format->image_channel_order) {
case CL_R:
return 0;
case CL_A:
return 1;
case CL_Rx:
return 0;
case CL_RG:
return 0;
case CL_RA:
return 1;
case CL_RGx:
return 0;
case CL_RGB:
case CL_sRGB:
return 0;
case CL_RGBx:
case CL_sRGBx:
return 0;
case CL_RGBA:
return 1;
case CL_BGRA:
return 1;
case CL_ARGB:
return 1;
case CL_INTENSITY:
return 1;
case CL_LUMINANCE:
return 0;
#ifdef CL_BGR1_APPLE
case CL_BGR1_APPLE: return 1;
#endif
#ifdef CL_1RGB_APPLE
case CL_1RGB_APPLE: return 1;
#endif
case CL_sRGBA:
case CL_sBGRA:
return 1;
case CL_DEPTH:
return 0;
default:
log_error("Invalid image channel order: %d\n", format->image_channel_order);
return 0;
}
}
#define PRINT_MAX_SIZE_LOGIC 0
#define SWAP( _a, _b ) do{ _a ^= _b; _b ^= _a; _a ^= _b; }while(0)
#ifndef MAX
#define MAX( _a, _b ) ((_a) > (_b) ? (_a) : (_b))
#endif
void get_max_sizes(size_t *numberOfSizes, const int maxNumberOfSizes,
size_t sizes[][3], size_t maxWidth, size_t maxHeight, size_t maxDepth, size_t maxArraySize,
const cl_ulong maxIndividualAllocSize, // CL_DEVICE_MAX_MEM_ALLOC_SIZE
const cl_ulong maxTotalAllocSize, // CL_DEVICE_GLOBAL_MEM_SIZE
cl_mem_object_type image_type, cl_image_format *format, int usingMaxPixelSizeBuffer) {
bool is3D = (image_type == CL_MEM_OBJECT_IMAGE3D);
bool isArray = (image_type == CL_MEM_OBJECT_IMAGE1D_ARRAY || image_type == CL_MEM_OBJECT_IMAGE2D_ARRAY);
// Validate we have a reasonable max depth for 3D
if (is3D && maxDepth < 2) {
log_error("ERROR: Requesting max image sizes for 3D images when max depth is < 2.\n");
*numberOfSizes = 0;
return;
}
// Validate we have a reasonable max array size for 1D & 2D image arrays
if (isArray && maxArraySize < 2) {
log_error("ERROR: Requesting max image sizes for an image array when max array size is < 1.\n");
*numberOfSizes = 0;
return;
}
// Reduce the maximum because we are trying to test the max image dimensions, not the memory allocation
cl_ulong adjustedMaxTotalAllocSize = maxTotalAllocSize / 4;
cl_ulong adjustedMaxIndividualAllocSize = maxIndividualAllocSize / 4;
log_info("Note: max individual allocation adjusted down from %gMB to %gMB and max total allocation adjusted down from %gMB to %gMB.\n",
maxIndividualAllocSize/(1024.0*1024.0), adjustedMaxIndividualAllocSize/(1024.0*1024.0),
maxTotalAllocSize/(1024.0*1024.0), adjustedMaxTotalAllocSize/(1024.0*1024.0));
// Cap our max allocation to 1.0GB.
// FIXME -- why? In the interest of not taking a long time? We should still test this stuff...
if (adjustedMaxTotalAllocSize > (cl_ulong)1024*1024*1024) {
adjustedMaxTotalAllocSize = (cl_ulong)1024*1024*1024;
log_info("Limiting max total allocation size to %gMB (down from %gMB) for test.\n",
adjustedMaxTotalAllocSize/(1024.0*1024.0), maxTotalAllocSize/(1024.0*1024.0));
}
cl_ulong maxAllocSize = adjustedMaxIndividualAllocSize;
if (adjustedMaxTotalAllocSize < adjustedMaxIndividualAllocSize*2)
maxAllocSize = adjustedMaxTotalAllocSize/2;
size_t raw_pixel_size = get_pixel_size(format);
// If the test will be creating input (src) buffer of type int4 or float4, number of pixels will be
// governed by sizeof(int4 or float4) and not sizeof(dest fomat)
// Also if pixel size is 12 bytes i.e. RGB or RGBx, we adjust it to 16 bytes as GPUs has no concept
// of 3 channel images. GPUs expand these to four channel RGBA.
if(usingMaxPixelSizeBuffer || raw_pixel_size == 12)
raw_pixel_size = 16;
size_t max_pixels = (size_t)maxAllocSize / raw_pixel_size;
log_info("Maximums: [%ld x %ld x %ld], raw pixel size %lu bytes, per-allocation limit %gMB.\n",
maxWidth, maxHeight, isArray ? maxArraySize : maxDepth, raw_pixel_size, (maxAllocSize/(1024.0*1024.0)));
// Keep track of the maximum sizes for each dimension
size_t maximum_sizes[] = { maxWidth, maxHeight, maxDepth };
switch (image_type) {
case CL_MEM_OBJECT_IMAGE1D_ARRAY:
maximum_sizes[1] = maxArraySize;
maximum_sizes[2] = 1;
break;
case CL_MEM_OBJECT_IMAGE2D_ARRAY:
maximum_sizes[2] = maxArraySize;
break;
}
// Given one fixed sized dimension, this code finds one or two other dimensions,
// both with very small size, such that the size does not exceed the maximum
// passed to this function
#if defined(__x86_64) || defined (__arm64__) || defined (__ppc64__)
size_t other_sizes[] = { 2, 3, 5, 6, 7, 9, 10, 11, 13, 15};
#else
size_t other_sizes[] = { 2, 3, 5, 6, 7, 9, 11, 13};
#endif
static size_t other_size = 0;
enum { num_other_sizes = sizeof(other_sizes)/sizeof(size_t) };
(*numberOfSizes) = 0;
if (image_type == CL_MEM_OBJECT_IMAGE1D) {
double M = maximum_sizes[0];
// Store the size
sizes[(*numberOfSizes)][0] = (size_t)M;
sizes[(*numberOfSizes)][1] = 1;
sizes[(*numberOfSizes)][2] = 1;
++(*numberOfSizes);
}
else if (image_type == CL_MEM_OBJECT_IMAGE1D_ARRAY || image_type == CL_MEM_OBJECT_IMAGE2D) {
for (int fixed_dim=0;fixed_dim<2;++fixed_dim) {
// Determine the size of the fixed dimension
double M = maximum_sizes[fixed_dim];
double A = max_pixels;
int x0_dim = !fixed_dim;
double x0 = fmin(fmin(other_sizes[(other_size++)%num_other_sizes],A/M), maximum_sizes[x0_dim]);
// Store the size
sizes[(*numberOfSizes)][fixed_dim] = (size_t)M;
sizes[(*numberOfSizes)][x0_dim] = (size_t)x0;
sizes[(*numberOfSizes)][2] = 1;
++(*numberOfSizes);
}
}
else if (image_type == CL_MEM_OBJECT_IMAGE2D_ARRAY || image_type == CL_MEM_OBJECT_IMAGE3D) {
// Iterate over dimensions, finding sizes for the non-fixed dimension
for (int fixed_dim=0;fixed_dim<3;++fixed_dim) {
// Determine the size of the fixed dimension
double M = maximum_sizes[fixed_dim];
double A = max_pixels;
// Find two other dimensions, x0 and x1
int x0_dim = (fixed_dim == 0) ? 1 : 0;
int x1_dim = (fixed_dim == 2) ? 1 : 2;
// Choose two other sizes for these dimensions
double x0 = fmin(fmin(A/M,maximum_sizes[x0_dim]),other_sizes[(other_size++)%num_other_sizes]);
// GPUs have certain restrictions on minimum width (row alignment) of images which has given us issues
// testing small widths in this test (say we set width to 3 for testing, and compute size based on this width and decide
// it fits within vram ... but GPU driver decides that, due to row alignment requirements, it has to use
// width of 16 which doesnt fit in vram). For this purpose we are not testing width < 16 for this test.
if(x0_dim == 0 && x0 < 16)
x0 = 16;
double x1 = fmin(fmin(A/M/x0,maximum_sizes[x1_dim]),other_sizes[(other_size++)%num_other_sizes]);
// Valid image sizes cannot be below 1. Due to the workaround for the xo_dim where x0 is overidden to 16
// there might not be enough space left for x1 dimension. This could be a fractional 0.x size that when cast to
// integer would result in a value 0. In these cases we clamp the size to a minimum of 1.
if ( x1 < 1 )
x1 = 1;
// M and x0 cannot be '0' as they derive from clDeviceInfo calls
assert(x0 > 0 && M > 0);
// Store the size
sizes[(*numberOfSizes)][fixed_dim] = (size_t)M;
sizes[(*numberOfSizes)][x0_dim] = (size_t)x0;
sizes[(*numberOfSizes)][x1_dim] = (size_t)x1;
++(*numberOfSizes);
}
}
// Log the results
for (int j=0; j<(int)(*numberOfSizes); j++) {
switch (image_type) {
case CL_MEM_OBJECT_IMAGE1D:
log_info(" size[%d] = [%ld] (%g MB image)\n",
j, sizes[j][0], raw_pixel_size*sizes[j][0]*sizes[j][1]*sizes[j][2]/(1024.0*1024.0));
break;
case CL_MEM_OBJECT_IMAGE1D_ARRAY:
case CL_MEM_OBJECT_IMAGE2D:
log_info(" size[%d] = [%ld %ld] (%g MB image)\n",
j, sizes[j][0], sizes[j][1], raw_pixel_size*sizes[j][0]*sizes[j][1]*sizes[j][2]/(1024.0*1024.0));
break;
case CL_MEM_OBJECT_IMAGE2D_ARRAY:
case CL_MEM_OBJECT_IMAGE3D:
log_info(" size[%d] = [%ld %ld %ld] (%g MB image)\n",
j, sizes[j][0], sizes[j][1], sizes[j][2], raw_pixel_size*sizes[j][0]*sizes[j][1]*sizes[j][2]/(1024.0*1024.0));
break;
}
}
}
float get_max_absolute_error( cl_image_format *format, image_sampler_data *sampler) {
if (sampler->filter_mode == CL_FILTER_NEAREST)
return 0.0f;
switch (format->image_channel_data_type) {
case CL_SNORM_INT8:
return 1.0f/127.0f;
case CL_UNORM_INT8:
return 1.0f/255.0f;
case CL_UNORM_INT16:
return 1.0f/65535.0f;
case CL_SNORM_INT16:
return 1.0f/32767.0f;
case CL_FLOAT:
return CL_FLT_MIN;
#ifdef CL_SFIXED14_APPLE
case CL_SFIXED14_APPLE:
return 0x1.0p-14f;
#endif
default:
return 0.0f;
}
}
float get_max_relative_error( cl_image_format *format, image_sampler_data *sampler, int is3D, int isLinearFilter )
{
float maxError = 0.0f;
float sampleCount = 1.0f;
if( isLinearFilter )
sampleCount = is3D ? 8.0f : 4.0f;
// Note that the ULP is defined here as the unit in the last place of the maximum
// magnitude sample used for filtering.
// Section 8.3
switch( format->image_channel_data_type )
{
// The spec allows 2 ulps of error for normalized formats
case CL_SNORM_INT8:
case CL_UNORM_INT8:
case CL_SNORM_INT16:
case CL_UNORM_INT16:
case CL_UNORM_SHORT_565:
case CL_UNORM_SHORT_555:
case CL_UNORM_INT_101010:
maxError = 2*FLT_EPSILON*sampleCount; // Maximum sampling error for round to zero normalization based on multiplication
// by reciprocal (using reciprocal generated in round to +inf mode, so that 1.0 matches spec)
break;
// If the implementation supports these formats then it will have to allow rounding error here too,
// because not all 32-bit ints are exactly representable in float
case CL_SIGNED_INT32:
case CL_UNSIGNED_INT32:
maxError = 1*FLT_EPSILON;
break;
}
// Section 8.2
if( sampler->addressing_mode == CL_ADDRESS_REPEAT || sampler->addressing_mode == CL_ADDRESS_MIRRORED_REPEAT || sampler->filter_mode != CL_FILTER_NEAREST || sampler->normalized_coords )
#if defined( __APPLE__ )
{
if( sampler->filter_mode != CL_FILTER_NEAREST )
{
// The maximum
if( gDeviceType == CL_DEVICE_TYPE_GPU )
maxError += MAKE_HEX_FLOAT(0x1.0p-4f, 0x1L, -4); // Some GPUs ain't so accurate
else
// The standard method of 2d linear filtering delivers 4.0 ulps of error in round to nearest (8 in rtz).
maxError += 4.0f * FLT_EPSILON;
}
else
maxError += 4.0f * FLT_EPSILON; // normalized coordinates will introduce some error into the fractional part of the address, affecting results
}
#else
{
#if !defined(_WIN32)
#warning Implementations will likely wish to pick a max allowable sampling error policy here that is better than the spec
#endif
// The spec allows linear filters to return any result most of the time.
// That's fine for implementations but a problem for testing. After all
// users aren't going to like garbage images. We have "picked a number"
// here that we are going to attempt to conform to. Implementations are
// free to pick another number, like infinity, if they like.
// We picked a number for you, to provide /some/ sanity
maxError = MAKE_HEX_FLOAT(0x1.0p-7f, 0x1L, -7);
// ...but this is what the spec allows:
// maxError = INFINITY;
// Please feel free to pick any positive number. (NaN wont work.)
}
#endif
// The error calculation itself can introduce error
maxError += FLT_EPSILON * 2;
return maxError;
}
size_t get_format_max_int( cl_image_format *format )
{
switch( format->image_channel_data_type )
{
case CL_SNORM_INT8:
case CL_SIGNED_INT8:
return 127;
case CL_UNORM_INT8:
case CL_UNSIGNED_INT8:
return 255;
case CL_SNORM_INT16:
case CL_SIGNED_INT16:
return 32767;
case CL_UNORM_INT16:
case CL_UNSIGNED_INT16:
return 65535;
case CL_SIGNED_INT32:
return 2147483647L;
case CL_UNSIGNED_INT32:
return 4294967295LL;
case CL_UNORM_SHORT_565:
case CL_UNORM_SHORT_555:
return 31;
case CL_UNORM_INT_101010:
return 1023;
case CL_HALF_FLOAT:
return 1<<10;
#ifdef CL_SFIXED14_APPLE
case CL_SFIXED14_APPLE:
return 16384;
#endif
default:
return 0;
}
}
int get_format_min_int( cl_image_format *format )
{
switch( format->image_channel_data_type )
{
case CL_SNORM_INT8:
case CL_SIGNED_INT8:
return -128;
case CL_UNORM_INT8:
case CL_UNSIGNED_INT8:
return 0;
case CL_SNORM_INT16:
case CL_SIGNED_INT16:
return -32768;
case CL_UNORM_INT16:
case CL_UNSIGNED_INT16:
return 0;
case CL_SIGNED_INT32:
return -2147483648LL;
case CL_UNSIGNED_INT32:
return 0;
case CL_UNORM_SHORT_565:
case CL_UNORM_SHORT_555:
case CL_UNORM_INT_101010:
return 0;
case CL_HALF_FLOAT: return -(1 << 10);
#ifdef CL_SFIXED14_APPLE
case CL_SFIXED14_APPLE:
return -16384;
#endif
default:
return 0;
}
}
float convert_half_to_float( unsigned short halfValue )
{
// We have to take care of a few special cases, but in general, we just extract
// the same components from the half that exist in the float and re-stuff them
// For a description of the actual half format, see http://en.wikipedia.org/wiki/Half_precision
// Note: we store these in 32-bit ints to make the bit manipulations easier later
int sign = ( halfValue >> 15 ) & 0x0001;
int exponent = ( halfValue >> 10 ) & 0x001f;
int mantissa = ( halfValue ) & 0x03ff;
// Note: we use a union here to be able to access the bits of a float directly
union
{
unsigned int bits;
float floatValue;
} outFloat;
// Special cases first
if( exponent == 0 )
{
if( mantissa == 0 )
{
// If both exponent and mantissa are 0, the number is +/- 0
outFloat.bits = sign << 31;
return outFloat.floatValue; // Already done!
}
// If exponent is 0, it's a denormalized number, so we renormalize it
// Note: this is not terribly efficient, but oh well
while( ( mantissa & 0x00000400 ) == 0 )
{
mantissa <<= 1;
exponent--;
}
// The first bit is implicit, so we take it off and inc the exponent accordingly
exponent++;
mantissa &= ~(0x00000400);
}
else if( exponent == 31 ) // Special-case "numbers"
{
// If the exponent is 31, it's a special case number (+/- infinity or NAN).
// If the mantissa is 0, it's infinity, else it's NAN, but in either case, the packing
// method is the same
outFloat.bits = ( sign << 31 ) | 0x7f800000 | ( mantissa << 13 );
return outFloat.floatValue;
}
// Plain ol' normalized number, so adjust to the ranges a 32-bit float expects and repack
exponent += ( 127 - 15 );
mantissa <<= 13;
outFloat.bits = ( sign << 31 ) | ( exponent << 23 ) | mantissa;
return outFloat.floatValue;
}
cl_ushort convert_float_to_half( float f )
{
switch( gFloatToHalfRoundingMode )
{
case kRoundToNearestEven:
return float2half_rte( f );
case kRoundTowardZero:
return float2half_rtz( f );
default:
log_error( "ERROR: Test internal error -- unhandled or unknown float->half rounding mode.\n" );
exit(-1);
return 0xffff;
}
}
cl_ushort float2half_rte( float f )
{
union{ float f; cl_uint u; } u = {f};
cl_uint sign = (u.u >> 16) & 0x8000;
float x = fabsf(f);
//Nan
if( x != x )
{
u.u >>= (24-11);
u.u &= 0x7fff;
u.u |= 0x0200; //silence the NaN
return u.u | sign;
}
// overflow
if( x >= MAKE_HEX_FLOAT(0x1.ffep15f, 0x1ffeL, 3) )
return 0x7c00 | sign;
// underflow
if( x <= MAKE_HEX_FLOAT(0x1.0p-25f, 0x1L, -25) )
return sign; // The halfway case can return 0x0001 or 0. 0 is even.
// very small
if( x < MAKE_HEX_FLOAT(0x1.8p-24f, 0x18L, -28) )
return sign | 1;
// half denormal
if( x < MAKE_HEX_FLOAT(0x1.0p-14f, 0x1L, -14) )
{
u.f = x * MAKE_HEX_FLOAT(0x1.0p-125f, 0x1L, -125);
return sign | u.u;
}
u.f *= MAKE_HEX_FLOAT(0x1.0p13f, 0x1L, 13);
u.u &= 0x7f800000;
x += u.f;
u.f = x - u.f;
u.f *= MAKE_HEX_FLOAT(0x1.0p-112f, 0x1L, -112);
return (u.u >> (24-11)) | sign;
}
cl_ushort float2half_rtz( float f )
{
union{ float f; cl_uint u; } u = {f};
cl_uint sign = (u.u >> 16) & 0x8000;
float x = fabsf(f);
//Nan
if( x != x )
{
u.u >>= (24-11);
u.u &= 0x7fff;
u.u |= 0x0200; //silence the NaN
return u.u | sign;
}
// overflow
if( x >= MAKE_HEX_FLOAT(0x1.0p16f, 0x1L, 16) )
{
if( x == INFINITY )
return 0x7c00 | sign;
return 0x7bff | sign;
}
// underflow
if( x < MAKE_HEX_FLOAT(0x1.0p-24f, 0x1L, -24) )
return sign; // The halfway case can return 0x0001 or 0. 0 is even.
// half denormal
if( x < MAKE_HEX_FLOAT(0x1.0p-14f, 0x1L, -14) )
{
x *= MAKE_HEX_FLOAT(0x1.0p24f, 0x1L, 24);
return (cl_ushort)((int) x | sign);
}
u.u &= 0xFFFFE000U;
u.u -= 0x38000000U;
return (u.u >> (24-11)) | sign;
}
class TEST
{
public:
TEST();
};
static TEST t;
void __vstore_half_rte(float f, size_t index, uint16_t *p)
{
union{ unsigned int u; float f;} u;
u.f = f;
unsigned short r = (u.u >> 16) & 0x8000;
u.u &= 0x7fffffff;
if( u.u >= 0x33000000U )
{
if( u.u >= 0x47800000 )
{
if( u.u <= 0x7f800000 )
r |= 0x7c00;
else
{
r |= 0x7e00 | ( (u.u >> 13) & 0x3ff );
}
}
else
{
float x = u.f;
if( u.u < 0x38800000 )
u.u = 0x3f000000;
else
u.u += 0x06800000;
u.u &= 0x7f800000U;
x += u.f;
x -= u.f;
u.f = x * MAKE_HEX_FLOAT(0x1.0p-112f, 0x1L, -112);
u.u >>= 13;
r |= (unsigned short) u.u;
}
}
((unsigned short*)p)[index] = r;
}
TEST::TEST()
{
return;
union
{
float f;
uint32_t i;
} test;
uint16_t control, myval;
log_info(" &&&&&&&&&&&&&&&&&&&&&&&&&&&& TESTING HALFS &&&&&&&&&&&&&&&&&&&&\n" );
test.i = 0;
do
{
if( ( test.i & 0xffffff ) == 0 )
{
if( ( test.i & 0xfffffff ) == 0 )
log_info( "*" );
else
log_info( "." );
fflush(stdout);
}
__vstore_half_rte( test.f, 0, &control );
myval = convert_float_to_half( test.f );
if( myval != control )
{
log_info( "\n******** ERROR: MyVal %04x control %04x source %12.24f\n", myval, control, test.f );
log_info( " source bits: %08x %a\n", test.i, test.f );
float t, c;
c = convert_half_to_float( control );
t = convert_half_to_float( myval );
log_info( " converted control: %12.24f myval: %12.24f\n", c, t );
}
test.i++;
} while( test.i != 0 );
log_info("\n &&&&&&&&&&&&&&&&&&&&&&&&&&&& TESTING HALFS &&&&&&&&&&&&&&&&&&&&\n" );
}
cl_ulong get_image_size( image_descriptor const *imageInfo )
{
cl_ulong imageSize;
// Assumes rowPitch and slicePitch are always correctly defined
if ( /*gTestMipmaps*/ imageInfo->num_mip_levels > 1 )
{
imageSize = (size_t) compute_mipmapped_image_size(*imageInfo);
}
else
{
switch (imageInfo->type)
{
case CL_MEM_OBJECT_IMAGE1D:
imageSize = imageInfo->rowPitch;
break;
case CL_MEM_OBJECT_IMAGE2D:
imageSize = imageInfo->height * imageInfo->rowPitch;
break;
case CL_MEM_OBJECT_IMAGE3D:
imageSize = imageInfo->depth * imageInfo->slicePitch;
break;
case CL_MEM_OBJECT_IMAGE1D_ARRAY:
imageSize = imageInfo->arraySize * imageInfo->slicePitch;
break;
case CL_MEM_OBJECT_IMAGE2D_ARRAY:
imageSize = imageInfo->arraySize * imageInfo->slicePitch;
break;
default:
log_error("ERROR: Cannot identify image type %x\n", imageInfo->type);
abort();
}
}
return imageSize;
}
// Calculate image size in megabytes (strictly, mebibytes). Result is rounded up.
cl_ulong get_image_size_mb( image_descriptor const *imageInfo )
{
cl_ulong imageSize = get_image_size( imageInfo );
cl_ulong mb = imageSize / ( 1024 * 1024 );
if ( imageSize % ( 1024 * 1024 ) > 0 )
{
mb += 1;
}
return mb;
}
uint64_t gRoundingStartValue = 0;
void escape_inf_nan_values( char* data, size_t allocSize ) {
// filter values with 8 not-quite-highest bits
unsigned int *intPtr = (unsigned int *)data;
for( size_t i = 0; i < allocSize >> 2; i++ )
{
if( ( intPtr[ i ] & 0x7F800000 ) == 0x7F800000 )
intPtr[ i ] ^= 0x40000000;
}
// Ditto with half floats (16-bit numbers with the 5 not-quite-highest bits = 0x7C00 are special)
unsigned short *shortPtr = (unsigned short *)data;
for( size_t i = 0; i < allocSize >> 1; i++ )
{
if( ( shortPtr[ i ] & 0x7C00 ) == 0x7C00 )
shortPtr[ i ] ^= 0x4000;
}
}
char * generate_random_image_data( image_descriptor *imageInfo, BufferOwningPtr<char> &P, MTdata d )
{
size_t allocSize = get_image_size( imageInfo );
size_t pixelRowBytes = imageInfo->width * get_pixel_size( imageInfo->format );
size_t i;
if (imageInfo->num_mip_levels > 1)
allocSize = compute_mipmapped_image_size(*imageInfo);
#if defined (__APPLE__ )
char *data = NULL;
if (gDeviceType == CL_DEVICE_TYPE_CPU) {
size_t mapSize = ((allocSize + 4095L) & -4096L) + 8192;
void *map = mmap(0, mapSize, PROT_READ | PROT_WRITE, MAP_ANON | MAP_PRIVATE, 0, 0);
intptr_t data_end = (intptr_t)map + mapSize - 4096;
data = (char *)(data_end - (intptr_t)allocSize);
mprotect(map, 4096, PROT_NONE);
mprotect((void *)((char *)map + mapSize - 4096), 4096, PROT_NONE);
P.reset(data, map, mapSize,allocSize);
} else {
data = (char *)malloc(allocSize);
P.reset(data,NULL,0,allocSize);
}
#else
P.reset( NULL ); // Free already allocated memory first, then try to allocate new block.
char *data = (char *)align_malloc(allocSize, get_pixel_size(imageInfo->format));
P.reset(data,NULL,0,allocSize, true);
#endif
if (data == NULL) {
log_error( "ERROR: Unable to malloc %lu bytes for generate_random_image_data\n", allocSize );
return 0;
}
if( gTestRounding )
{
// Special case: fill with a ramp from 0 to the size of the type
size_t typeSize = get_format_type_size( imageInfo->format );
switch( typeSize )
{
case 1:
{
char *ptr = data;
for( i = 0; i < allocSize; i++ )
ptr[i] = (cl_char) (i + gRoundingStartValue);
}
break;
case 2:
{
cl_short *ptr = (cl_short*) data;
for( i = 0; i < allocSize / 2; i++ )
ptr[i] = (cl_short) (i + gRoundingStartValue);
}
break;
case 4:
{
cl_int *ptr = (cl_int*) data;
for( i = 0; i < allocSize / 4; i++ )
ptr[i] = (cl_int) (i + gRoundingStartValue);
}
break;
}
// Note: inf or nan float values would cause problems, although we don't know this will
// actually be a float, so we just know what to look for
escape_inf_nan_values( data, allocSize );
return data;
}
// Otherwise, we should be able to just fill with random bits no matter what
cl_uint *p = (cl_uint*) data;
for( i = 0; i + 4 <= allocSize; i += 4 )
p[ i / 4 ] = genrand_int32(d);
for( ; i < allocSize; i++ )
data[i] = genrand_int32(d);
// Note: inf or nan float values would cause problems, although we don't know this will
// actually be a float, so we just know what to look for
escape_inf_nan_values( data, allocSize );
if ( /*!gTestMipmaps*/ imageInfo->num_mip_levels < 2 )
{
// Fill unused edges with -1, NaN for float
if (imageInfo->rowPitch > pixelRowBytes)
{
size_t height = 0;
switch (imageInfo->type)
{
case CL_MEM_OBJECT_IMAGE2D:
case CL_MEM_OBJECT_IMAGE3D:
case CL_MEM_OBJECT_IMAGE2D_ARRAY:
height = imageInfo->height;
break;
case CL_MEM_OBJECT_IMAGE1D_ARRAY:
height = imageInfo->arraySize;
break;
}
// Fill in the row padding regions
for( i = 0; i < height; i++ )
{
size_t offset = i * imageInfo->rowPitch + pixelRowBytes;
size_t length = imageInfo->rowPitch - pixelRowBytes;
memset( data + offset, 0xff, length );
}
}
// Fill in the slice padding regions, if necessary:
size_t slice_dimension = imageInfo->height;
if (imageInfo->type == CL_MEM_OBJECT_IMAGE1D_ARRAY) {
slice_dimension = imageInfo->arraySize;
}
if (imageInfo->slicePitch > slice_dimension*imageInfo->rowPitch)
{
size_t depth = 0;
switch (imageInfo->type)
{
case CL_MEM_OBJECT_IMAGE2D:
case CL_MEM_OBJECT_IMAGE3D:
depth = imageInfo->depth;
break;
case CL_MEM_OBJECT_IMAGE1D_ARRAY:
case CL_MEM_OBJECT_IMAGE2D_ARRAY:
depth = imageInfo->arraySize;
break;
}
for( i = 0; i < depth; i++ )
{
size_t offset = i * imageInfo->slicePitch + slice_dimension*imageInfo->rowPitch;
size_t length = imageInfo->slicePitch - slice_dimension*imageInfo->rowPitch;
memset( data + offset, 0xff, length );
}
}
}
return data;
}
#define CLAMP_FLOAT( v ) ( fmaxf( fminf( v, 1.f ), -1.f ) )
void read_image_pixel_float( void *imageData, image_descriptor *imageInfo,
int x, int y, int z, float *outData, int lod )
{
size_t width_lod = imageInfo->width, height_lod = imageInfo->height, depth_lod = imageInfo->depth;
size_t slice_pitch_lod = 0, row_pitch_lod = 0;
if ( imageInfo->num_mip_levels > 1 )
{
switch(imageInfo->type)
{
case CL_MEM_OBJECT_IMAGE3D :
depth_lod = ( imageInfo->depth >> lod ) ? ( imageInfo->depth >> lod ) : 1;
case CL_MEM_OBJECT_IMAGE2D :
case CL_MEM_OBJECT_IMAGE2D_ARRAY :
height_lod = ( imageInfo->height >> lod ) ? ( imageInfo->height >> lod ) : 1;
default :
width_lod = ( imageInfo->width >> lod ) ? ( imageInfo->width >> lod ) : 1;
}
row_pitch_lod = width_lod * get_pixel_size(imageInfo->format);
if ( imageInfo->type == CL_MEM_OBJECT_IMAGE1D_ARRAY )
slice_pitch_lod = row_pitch_lod;
else if ( imageInfo->type == CL_MEM_OBJECT_IMAGE3D || imageInfo->type == CL_MEM_OBJECT_IMAGE2D_ARRAY)
slice_pitch_lod = row_pitch_lod * height_lod;
}
else
{
row_pitch_lod = imageInfo->rowPitch;
slice_pitch_lod = imageInfo->slicePitch;
}
if ( x < 0 || y < 0 || z < 0 || x >= (int)width_lod
|| ( height_lod != 0 && y >= (int)height_lod )
|| ( depth_lod != 0 && z >= (int)depth_lod )
|| ( imageInfo->arraySize != 0 && z >= (int)imageInfo->arraySize ) )
{
outData[ 0 ] = outData[ 1 ] = outData[ 2 ] = outData[ 3 ] = 0;
if (!has_alpha(imageInfo->format))
outData[3] = 1;
return;
}
cl_image_format *format = imageInfo->format;
unsigned int i;
float tempData[ 4 ];
// Advance to the right spot
char *ptr = (char *)imageData;
size_t pixelSize = get_pixel_size( format );
ptr += z * slice_pitch_lod + y * row_pitch_lod + x * pixelSize;
// OpenCL only supports reading floats from certain formats
size_t channelCount = get_format_channel_count( format );
switch( format->image_channel_data_type )
{
case CL_SNORM_INT8:
{
cl_char *dPtr = (cl_char *)ptr;
for( i = 0; i < channelCount; i++ )
tempData[ i ] = CLAMP_FLOAT( (float)dPtr[ i ] / 127.0f );
break;
}
case CL_UNORM_INT8:
{
unsigned char *dPtr = (unsigned char *)ptr;
for( i = 0; i < channelCount; i++ ) {
if((is_sRGBA_order(imageInfo->format->image_channel_order)) && i<3) // only RGB need to be converted for sRGBA
tempData[ i ] = (float)sRGBunmap((float)dPtr[ i ] / 255.0f) ;
else
tempData[ i ] = (float)dPtr[ i ] / 255.0f;
}
break;
}
case CL_SIGNED_INT8:
{
cl_char *dPtr = (cl_char *)ptr;
for( i = 0; i < channelCount; i++ )
tempData[ i ] = (float)dPtr[ i ];
break;
}
case CL_UNSIGNED_INT8:
{
cl_uchar *dPtr = (cl_uchar *)ptr;
for( i = 0; i < channelCount; i++ )
tempData[ i ] = (float) dPtr[ i ];
break;
}
case CL_SNORM_INT16:
{
cl_short *dPtr = (cl_short *)ptr;
for( i = 0; i < channelCount; i++ )
tempData[ i ] = CLAMP_FLOAT( (float)dPtr[ i ] / 32767.0f );
break;
}
case CL_UNORM_INT16:
{
cl_ushort *dPtr = (cl_ushort *)ptr;
for( i = 0; i < channelCount; i++ )
tempData[ i ] = (float)dPtr[ i ] / 65535.0f;
break;
}
case CL_SIGNED_INT16:
{
cl_short *dPtr = (cl_short *)ptr;
for( i = 0; i < channelCount; i++ )
tempData[ i ] = (float)dPtr[ i ];
break;
}
case CL_UNSIGNED_INT16:
{
cl_ushort *dPtr = (cl_ushort *)ptr;
for( i = 0; i < channelCount; i++ )
tempData[ i ] = (float) dPtr[ i ];
break;
}
case CL_HALF_FLOAT:
{
cl_ushort *dPtr = (cl_ushort *)ptr;
for( i = 0; i < channelCount; i++ )
tempData[ i ] = convert_half_to_float( dPtr[ i ] );
break;
}
case CL_SIGNED_INT32:
{
cl_int *dPtr = (cl_int *)ptr;
for( i = 0; i < channelCount; i++ )
tempData[ i ] = (float)dPtr[ i ];
break;
}
case CL_UNSIGNED_INT32:
{
cl_uint *dPtr = (cl_uint *)ptr;
for( i = 0; i < channelCount; i++ )
tempData[ i ] = (float)dPtr[ i ];
break;
}
case CL_UNORM_SHORT_565:
{
cl_ushort *dPtr = (cl_ushort *)ptr;
tempData[ 0 ] = (float)( dPtr[ 0 ] >> 11 ) / (float)31;
tempData[ 1 ] = (float)( ( dPtr[ 0 ] >> 5 ) & 63 ) / (float)63;
tempData[ 2 ] = (float)( dPtr[ 0 ] & 31 ) / (float)31;
break;
}
case CL_UNORM_SHORT_555:
{
cl_ushort *dPtr = (cl_ushort *)ptr;
tempData[ 0 ] = (float)( ( dPtr[ 0 ] >> 10 ) & 31 ) / (float)31;
tempData[ 1 ] = (float)( ( dPtr[ 0 ] >> 5 ) & 31 ) / (float)31;
tempData[ 2 ] = (float)( dPtr[ 0 ] & 31 ) / (float)31;
break;
}
case CL_UNORM_INT_101010:
{
cl_uint *dPtr = (cl_uint *)ptr;
tempData[ 0 ] = (float)( ( dPtr[ 0 ] >> 20 ) & 0x3ff ) / (float)1023;
tempData[ 1 ] = (float)( ( dPtr[ 0 ] >> 10 ) & 0x3ff ) / (float)1023;
tempData[ 2 ] = (float)( dPtr[ 0 ] & 0x3ff ) / (float)1023;
break;
}
case CL_FLOAT:
{
float *dPtr = (float *)ptr;
for( i = 0; i < channelCount; i++ )
tempData[ i ] = (float)dPtr[ i ];
break;
}
#ifdef CL_SFIXED14_APPLE
case CL_SFIXED14_APPLE:
{
cl_ushort *dPtr = (cl_ushort*) ptr;
for( i = 0; i < channelCount; i++ )
tempData[i] = ((int) dPtr[i] - 16384) * 0x1.0p-14f;
break;
}
#endif
}
outData[ 0 ] = outData[ 1 ] = outData[ 2 ] = 0;
outData[ 3 ] = 1;
switch( format->image_channel_order )
{
case CL_A:
outData[ 3 ] = tempData[ 0 ];
break;
case CL_R:
case CL_Rx:
outData[ 0 ] = tempData[ 0 ];
break;
case CL_RA:
outData[ 0 ] = tempData[ 0 ];
outData[ 3 ] = tempData[ 1 ];
break;
case CL_RG:
case CL_RGx:
outData[ 0 ] = tempData[ 0 ];
outData[ 1 ] = tempData[ 1 ];
break;
case CL_RGB:
case CL_RGBx:
case CL_sRGB:
case CL_sRGBx:
outData[ 0 ] = tempData[ 0 ];
outData[ 1 ] = tempData[ 1 ];
outData[ 2 ] = tempData[ 2 ];
break;
case CL_RGBA:
outData[ 0 ] = tempData[ 0 ];
outData[ 1 ] = tempData[ 1 ];
outData[ 2 ] = tempData[ 2 ];
outData[ 3 ] = tempData[ 3 ];
break;
case CL_ARGB:
outData[ 0 ] = tempData[ 1 ];
outData[ 1 ] = tempData[ 2 ];
outData[ 2 ] = tempData[ 3 ];
outData[ 3 ] = tempData[ 0 ];
break;
case CL_BGRA:
case CL_sBGRA:
outData[ 0 ] = tempData[ 2 ];
outData[ 1 ] = tempData[ 1 ];
outData[ 2 ] = tempData[ 0 ];
outData[ 3 ] = tempData[ 3 ];
break;
case CL_INTENSITY:
outData[ 0 ] = tempData[ 0 ];
outData[ 1 ] = tempData[ 0 ];
outData[ 2 ] = tempData[ 0 ];
outData[ 3 ] = tempData[ 0 ];
break;
case CL_LUMINANCE:
outData[ 0 ] = tempData[ 0 ];
outData[ 1 ] = tempData[ 0 ];
outData[ 2 ] = tempData[ 0 ];
break;
#ifdef CL_1RGB_APPLE
case CL_1RGB_APPLE:
outData[ 0 ] = tempData[ 1 ];
outData[ 1 ] = tempData[ 2 ];
outData[ 2 ] = tempData[ 3 ];
outData[ 3 ] = 1.0f;
break;
#endif
#ifdef CL_BGR1_APPLE
case CL_BGR1_APPLE:
outData[ 0 ] = tempData[ 2 ];
outData[ 1 ] = tempData[ 1 ];
outData[ 2 ] = tempData[ 0 ];
outData[ 3 ] = 1.0f;
break;
#endif
case CL_sRGBA:
outData[ 0 ] = tempData[ 0 ];
outData[ 1 ] = tempData[ 1 ];
outData[ 2 ] = tempData[ 2 ];
outData[ 3 ] = tempData[ 3 ];
break;
case CL_DEPTH:
outData[ 0 ] = tempData[ 0 ];
break;
default:
log_error("Invalid format:");
print_header(format, true);
break;
}
}
void read_image_pixel_float( void *imageData, image_descriptor *imageInfo,
int x, int y, int z, float *outData )
{
read_image_pixel_float( imageData, imageInfo, x, y, z, outData, 0 );
}
bool get_integer_coords( float x, float y, float z, size_t width, size_t height, size_t depth, image_sampler_data *imageSampler, image_descriptor *imageInfo, int &outX, int &outY, int &outZ ) {
return get_integer_coords_offset(x, y, z, 0.0f, 0.0f, 0.0f, width, height, depth, imageSampler, imageInfo, outX, outY, outZ);
}
bool get_integer_coords_offset( float x, float y, float z, float xAddressOffset, float yAddressOffset, float zAddressOffset,
size_t width, size_t height, size_t depth, image_sampler_data *imageSampler, image_descriptor *imageInfo, int &outX, int &outY, int &outZ )
{
AddressFn adFn = sAddressingTable[ imageSampler ];
float refX = floorf( x ), refY = floorf( y ), refZ = floorf( z );
// Handle sampler-directed coordinate normalization + clamping. Note that
// the array coordinate for image array types is expected to be
// unnormalized, and is clamped to 0..arraySize-1.
if( imageSampler->normalized_coords )
{
switch (imageSampler->addressing_mode)
{
case CL_ADDRESS_REPEAT:
x = RepeatNormalizedAddressFn( x, width );
if (height != 0) {
if (imageInfo->type != CL_MEM_OBJECT_IMAGE1D_ARRAY)
y = RepeatNormalizedAddressFn( y, height );
}
if (depth != 0) {
if (imageInfo->type != CL_MEM_OBJECT_IMAGE2D_ARRAY)
z = RepeatNormalizedAddressFn( z, depth );
}
if (xAddressOffset != 0.0) {
// Add in the offset
x += xAddressOffset;
// Handle wrapping
if (x > width)
x -= (float)width;
if (x < 0)
x += (float)width;
}
if ( (yAddressOffset != 0.0) && (imageInfo->type != CL_MEM_OBJECT_IMAGE1D_ARRAY) ) {
// Add in the offset
y += yAddressOffset;
// Handle wrapping
if (y > height)
y -= (float)height;
if (y < 0)
y += (float)height;
}
if ( (zAddressOffset != 0.0) && (imageInfo->type != CL_MEM_OBJECT_IMAGE2D_ARRAY) ) {
// Add in the offset
z += zAddressOffset;
// Handle wrapping
if (z > depth)
z -= (float)depth;
if (z < 0)
z += (float)depth;
}
break;
case CL_ADDRESS_MIRRORED_REPEAT:
x = MirroredRepeatNormalizedAddressFn( x, width );
if (height != 0) {
if (imageInfo->type != CL_MEM_OBJECT_IMAGE1D_ARRAY)
y = MirroredRepeatNormalizedAddressFn( y, height );
}
if (depth != 0) {
if (imageInfo->type != CL_MEM_OBJECT_IMAGE2D_ARRAY)
z = MirroredRepeatNormalizedAddressFn( z, depth );
}
if (xAddressOffset != 0.0)
{
float temp = x + xAddressOffset;
if( temp > (float) width )
temp = (float) width - (temp - (float) width );
x = fabsf( temp );
}
if ( (yAddressOffset != 0.0) && (imageInfo->type != CL_MEM_OBJECT_IMAGE1D_ARRAY) ) {
float temp = y + yAddressOffset;
if( temp > (float) height )
temp = (float) height - (temp - (float) height );
y = fabsf( temp );
}
if ( (zAddressOffset != 0.0) && (imageInfo->type != CL_MEM_OBJECT_IMAGE2D_ARRAY) ) {
float temp = z + zAddressOffset;
if( temp > (float) depth )
temp = (float) depth - (temp - (float) depth );
z = fabsf( temp );
}
break;
default:
// Also, remultiply to the original coords. This simulates any truncation in
// the pass to OpenCL
x *= (float)width;
x += xAddressOffset;
if (imageInfo->type != CL_MEM_OBJECT_IMAGE1D_ARRAY)
{
y *= (float)height;
y += yAddressOffset;
}
if (imageInfo->type != CL_MEM_OBJECT_IMAGE2D_ARRAY)
{
z *= (float)depth;
z += zAddressOffset;
}
break;
}
}
// At this point, we're dealing with non-normalized coordinates.
outX = adFn( floorf( x ), width );
// 1D and 2D arrays require special care for the index coordinate:
switch (imageInfo->type) {
case CL_MEM_OBJECT_IMAGE1D_ARRAY:
outY = calculate_array_index(y, (float)imageInfo->arraySize - 1.0f);
outZ = 0.0f; /* don't care! */
break;
case CL_MEM_OBJECT_IMAGE2D_ARRAY:
outY = adFn( floorf( y ), height );
outZ = calculate_array_index(z, (float)imageInfo->arraySize - 1.0f);
break;
default:
// legacy path:
if (height != 0)
outY = adFn( floorf( y ), height );
if( depth != 0 )
outZ = adFn( floorf( z ), depth );
}
return !( (int)refX == outX && (int)refY == outY && (int)refZ == outZ );
}
static float frac(float a) {
return a - floorf(a);
}
static inline void pixelMax( const float a[4], const float b[4], float *results );
static inline void pixelMax( const float a[4], const float b[4], float *results )
{
for( int i = 0; i < 4; i++ )
results[i] = errMax( fabsf(a[i]), fabsf(b[i]) );
}
// If containsDenorms is NULL, flush denorms to zero
// if containsDenorms is not NULL, record whether there are any denorms
static inline void check_for_denorms(float a[4], int *containsDenorms );
static inline void check_for_denorms(float a[4], int *containsDenorms )
{
if( NULL == containsDenorms )
{
for( int i = 0; i < 4; i++ )
{
if( IsFloatSubnormal( a[i] ) )
a[i] = copysignf( 0.0f, a[i] );
}
}
else
{
for( int i = 0; i < 4; i++ )
{
if( IsFloatSubnormal( a[i] ) )
{
*containsDenorms = 1;
break;
}
}
}
}
inline float calculate_array_index( float coord, float extent ) {
// from Section 8.4 of the 1.2 Spec 'Selecting an Image from an Image Array'
//
// given coordinate 'w' that represents an index:
// layer_index = clamp( rint(w), 0, image_array_size - 1)
float ret = rintf( coord );
ret = ret > extent ? extent : ret;
ret = ret < 0.0f ? 0.0f : ret;
return ret;
}
/*
* Utility function to unnormalized a coordinate given a particular sampler.
*
* name - the name of the coordinate, used for verbose debugging only
* coord - the coordinate requiring unnormalization
* offset - an addressing offset to be added to the coordinate
* extent - the max value for this coordinate (e.g. width for x)
*/
static float unnormalize_coordinate( const char* name, float coord,
float offset, float extent, cl_addressing_mode addressing_mode, int verbose )
{
float ret = 0.0f;
switch (addressing_mode) {
case CL_ADDRESS_REPEAT:
ret = RepeatNormalizedAddressFn( coord, extent );
if ( verbose ) {
log_info( "\tRepeat filter denormalizes %s (%f) to %f\n",
name, coord, ret );
}
if (offset != 0.0) {
// Add in the offset, and handle wrapping.
ret += offset;
if (ret > extent) ret -= extent;
if (ret < 0.0) ret += extent;
}
if (verbose && offset != 0.0f) {
log_info( "\tAddress offset of %f added to get %f\n", offset, ret );
}
break;
case CL_ADDRESS_MIRRORED_REPEAT:
ret = MirroredRepeatNormalizedAddressFn( coord, extent );
if ( verbose ) {
log_info( "\tMirrored repeat filter denormalizes %s (%f) to %f\n",
name, coord, ret );
}
if (offset != 0.0) {
float temp = ret + offset;
if( temp > extent )
temp = extent - (temp - extent );
ret = fabsf( temp );
}
if (verbose && offset != 0.0f) {
log_info( "\tAddress offset of %f added to get %f\n", offset, ret );
}
break;
default:
ret = coord * extent;
if ( verbose ) {
log_info( "\tFilter denormalizes %s to %f (%f * %f)\n",
name, ret, coord, extent);
}
ret += offset;
if (verbose && offset != 0.0f) {
log_info( "\tAddress offset of %f added to get %f\n", offset, ret );
}
}
return ret;
}
FloatPixel sample_image_pixel_float( void *imageData, image_descriptor *imageInfo,
float x, float y, float z,
image_sampler_data *imageSampler, float *outData, int verbose, int *containsDenorms ) {
return sample_image_pixel_float_offset(imageData, imageInfo, x, y, z, 0.0f, 0.0f, 0.0f, imageSampler, outData, verbose, containsDenorms);
}
// returns max pixel value of the pixels touched
FloatPixel sample_image_pixel_float( void *imageData, image_descriptor *imageInfo,
float x, float y, float z,
image_sampler_data *imageSampler, float *outData, int verbose, int *containsDenorms , int lod) {
return sample_image_pixel_float_offset(imageData, imageInfo, x, y, z, 0.0f, 0.0f, 0.0f, imageSampler, outData, verbose, containsDenorms, lod);
}
FloatPixel sample_image_pixel_float_offset( void *imageData, image_descriptor *imageInfo,
float x, float y, float z, float xAddressOffset, float yAddressOffset, float zAddressOffset,
image_sampler_data *imageSampler, float *outData, int verbose, int *containsDenorms , int lod)
{
AddressFn adFn = sAddressingTable[ imageSampler ];
FloatPixel returnVal;
size_t width_lod = imageInfo->width, height_lod = imageInfo->height, depth_lod = imageInfo->depth;
size_t slice_pitch_lod = 0, row_pitch_lod = 0;
if ( imageInfo->num_mip_levels > 1 )
{
switch(imageInfo->type)
{
case CL_MEM_OBJECT_IMAGE3D :
depth_lod = ( imageInfo->depth >> lod ) ? ( imageInfo->depth >> lod ) : 1;
case CL_MEM_OBJECT_IMAGE2D :
case CL_MEM_OBJECT_IMAGE2D_ARRAY :
height_lod = ( imageInfo->height >> lod ) ? ( imageInfo->height >> lod ) : 1;
default :
width_lod = ( imageInfo->width >> lod ) ? ( imageInfo->width >> lod ) : 1;
}
row_pitch_lod = width_lod * get_pixel_size(imageInfo->format);
if ( imageInfo->type == CL_MEM_OBJECT_IMAGE1D_ARRAY )
slice_pitch_lod = row_pitch_lod;
else if ( imageInfo->type == CL_MEM_OBJECT_IMAGE3D || imageInfo->type == CL_MEM_OBJECT_IMAGE2D_ARRAY)
slice_pitch_lod = row_pitch_lod * height_lod;
}
else
{
slice_pitch_lod = imageInfo->slicePitch;
row_pitch_lod = imageInfo->rowPitch;
}
if( containsDenorms )
*containsDenorms = 0;
if( imageSampler->normalized_coords ) {
// We need to unnormalize our coordinates differently depending on
// the image type, but 'x' is always processed the same way.
x = unnormalize_coordinate("x", x, xAddressOffset, (float)width_lod,
imageSampler->addressing_mode, verbose);
switch (imageInfo->type) {
// The image array types require special care:
case CL_MEM_OBJECT_IMAGE1D_ARRAY:
z = 0; // don't care -- unused for 1D arrays
break;
case CL_MEM_OBJECT_IMAGE2D_ARRAY:
y = unnormalize_coordinate("y", y, yAddressOffset, (float)height_lod,
imageSampler->addressing_mode, verbose);
break;
// Everybody else:
default:
y = unnormalize_coordinate("y", y, yAddressOffset, (float)height_lod,
imageSampler->addressing_mode, verbose);
z = unnormalize_coordinate("z", z, zAddressOffset, (float)depth_lod,
imageSampler->addressing_mode, verbose);
}
} else if ( verbose ) {
switch (imageInfo->type) {
case CL_MEM_OBJECT_IMAGE1D_ARRAY:
log_info("Starting coordinate: %f, array index %f\n", x, y);
break;
case CL_MEM_OBJECT_IMAGE2D_ARRAY:
log_info("Starting coordinate: %f, %f, array index %f\n", x, y, z);
break;
case CL_MEM_OBJECT_IMAGE1D:
case CL_MEM_OBJECT_IMAGE1D_BUFFER:
log_info("Starting coordinate: %f\b", x);
break;
case CL_MEM_OBJECT_IMAGE2D:
log_info("Starting coordinate: %f, %f\n", x, y);
break;
case CL_MEM_OBJECT_IMAGE3D:
default:
log_info("Starting coordinate: %f, %f, %f\n", x, y, z);
}
}
// At this point, we have unnormalized coordinates.
if( imageSampler->filter_mode == CL_FILTER_NEAREST )
{
int ix, iy, iz;
// We apply the addressing function to the now-unnormalized
// coordinates. Note that the array cases again require special
// care, per section 8.4 in the OpenCL 1.2 Specification.
ix = adFn( floorf( x ), width_lod );
switch (imageInfo->type) {
case CL_MEM_OBJECT_IMAGE1D_ARRAY:
iy = calculate_array_index( y, (float)(imageInfo->arraySize - 1) );
iz = 0;
if( verbose ) {
log_info("\tArray index %f evaluates to %d\n",y, iy );
}
break;
case CL_MEM_OBJECT_IMAGE2D_ARRAY:
iy = adFn( floorf( y ), height_lod );
iz = calculate_array_index( z, (float)(imageInfo->arraySize - 1) );
if( verbose ) {
log_info("\tArray index %f evaluates to %d\n",z, iz );
}
break;
default:
iy = adFn( floorf( y ), height_lod );
if( depth_lod != 0 )
iz = adFn( floorf( z ), depth_lod );
else
iz = 0;
}
if( verbose ) {
if( iz )
log_info( "\tReference integer coords calculated: { %d, %d, %d }\n", ix, iy, iz );
else
log_info( "\tReference integer coords calculated: { %d, %d }\n", ix, iy );
}
read_image_pixel_float( imageData, imageInfo, ix, iy, iz, outData, lod );
check_for_denorms( outData, containsDenorms );
for( int i = 0; i < 4; i++ )
returnVal.p[i] = fabsf( outData[i] );
return returnVal;
}
else
{
// Linear filtering cases.
size_t width = width_lod, height = height_lod, depth = depth_lod;
// Image arrays can use 2D filtering, but require us to walk into the
// image a certain number of slices before reading.
if( depth == 0 || imageInfo->type == CL_MEM_OBJECT_IMAGE2D_ARRAY ||
imageInfo->type == CL_MEM_OBJECT_IMAGE1D_ARRAY)
{
float array_index = 0;
size_t layer_offset = 0;
if (imageInfo->type == CL_MEM_OBJECT_IMAGE2D_ARRAY) {
array_index = calculate_array_index(z, (float)(imageInfo->arraySize - 1));
layer_offset = slice_pitch_lod * (size_t)array_index;
}
else if (imageInfo->type == CL_MEM_OBJECT_IMAGE1D_ARRAY) {
array_index = calculate_array_index(y, (float)(imageInfo->arraySize - 1));
layer_offset = slice_pitch_lod * (size_t)array_index;
// Set up y and height so that the filtering below is correct
// 1D filtering on a single slice.
height = 1;
}
int x1 = adFn( floorf( x - 0.5f ), width );
int y1 = 0;
int x2 = adFn( floorf( x - 0.5f ) + 1, width );
int y2 = 0;
if ((imageInfo->type != CL_MEM_OBJECT_IMAGE1D) &&
(imageInfo->type != CL_MEM_OBJECT_IMAGE1D_ARRAY) &&
(imageInfo->type != CL_MEM_OBJECT_IMAGE1D_BUFFER)) {
y1 = adFn( floorf( y - 0.5f ), height );
y2 = adFn( floorf( y - 0.5f ) + 1, height );
} else {
y = 0.5f;
}
if( verbose ) {
log_info( "\tActual integer coords used (i = floor(x-.5)): i0:{ %d, %d } and i1:{ %d, %d }\n", x1, y1, x2, y2 );
log_info( "\tArray coordinate is %f\n", array_index);
}
// Walk to beginning of the 'correct' slice, if needed.
char* imgPtr = ((char*)imageData) + layer_offset;
float upLeft[ 4 ], upRight[ 4 ], lowLeft[ 4 ], lowRight[ 4 ];
float maxUp[4], maxLow[4];
read_image_pixel_float( imgPtr, imageInfo, x1, y1, 0, upLeft, lod );
read_image_pixel_float( imgPtr, imageInfo, x2, y1, 0, upRight, lod );
check_for_denorms( upLeft, containsDenorms );
check_for_denorms( upRight, containsDenorms );
pixelMax( upLeft, upRight, maxUp );
read_image_pixel_float( imgPtr, imageInfo, x1, y2, 0, lowLeft, lod );
read_image_pixel_float( imgPtr, imageInfo, x2, y2, 0, lowRight, lod );
check_for_denorms( lowLeft, containsDenorms );
check_for_denorms( lowRight, containsDenorms );
pixelMax( lowLeft, lowRight, maxLow );
pixelMax( maxUp, maxLow, returnVal.p );
if( verbose )
{
if( NULL == containsDenorms )
log_info( "\tSampled pixels (rgba order, denorms flushed to zero):\n" );
else
log_info( "\tSampled pixels (rgba order):\n" );
log_info( "\t\tp00: %f, %f, %f, %f\n", upLeft[0], upLeft[1], upLeft[2], upLeft[3] );
log_info( "\t\tp01: %f, %f, %f, %f\n", upRight[0], upRight[1], upRight[2], upRight[3] );
log_info( "\t\tp10: %f, %f, %f, %f\n", lowLeft[0], lowLeft[1], lowLeft[2], lowLeft[3] );
log_info( "\t\tp11: %f, %f, %f, %f\n", lowRight[0], lowRight[1], lowRight[2], lowRight[3] );
}
bool printMe = false;
if( x1 <= 0 || x2 <= 0 || x1 >= (int)width-1 || x2 >= (int)width-1 )
printMe = true;
if( y1 <= 0 || y2 <= 0 || y1 >= (int)height-1 || y2 >= (int)height-1 )
printMe = true;
double weights[ 2 ][ 2 ];
weights[ 0 ][ 0 ] = weights[ 0 ][ 1 ] = 1.0 - frac( x - 0.5f );
weights[ 1 ][ 0 ] = weights[ 1 ][ 1 ] = frac( x - 0.5f );
weights[ 0 ][ 0 ] *= 1.0 - frac( y - 0.5f );
weights[ 1 ][ 0 ] *= 1.0 - frac( y - 0.5f );
weights[ 0 ][ 1 ] *= frac( y - 0.5f );
weights[ 1 ][ 1 ] *= frac( y - 0.5f );
if( verbose )
log_info( "\tfrac( x - 0.5f ) = %f, frac( y - 0.5f ) = %f\n", frac( x - 0.5f ), frac( y - 0.5f ) );
for( int i = 0; i < 3; i++ )
{
outData[ i ] = (float)( ( upLeft[ i ] * weights[ 0 ][ 0 ] ) +
( upRight[ i ] * weights[ 1 ][ 0 ] ) +
( lowLeft[ i ] * weights[ 0 ][ 1 ] ) +
( lowRight[ i ] * weights[ 1 ][ 1 ] ));
// flush subnormal results to zero if necessary
if( NULL == containsDenorms && fabs(outData[i]) < FLT_MIN )
outData[i] = copysignf( 0.0f, outData[i] );
}
outData[ 3 ] = (float)( ( upLeft[ 3 ] * weights[ 0 ][ 0 ] ) +
( upRight[ 3 ] * weights[ 1 ][ 0 ] ) +
( lowLeft[ 3 ] * weights[ 0 ][ 1 ] ) +
( lowRight[ 3 ] * weights[ 1 ][ 1 ] ));
// flush subnormal results to zero if necessary
if( NULL == containsDenorms && fabs(outData[3]) < FLT_MIN )
outData[3] = copysignf( 0.0f, outData[3] );
}
else
{
// 3D linear filtering
int x1 = adFn( floorf( x - 0.5f ), width_lod );
int y1 = adFn( floorf( y - 0.5f ), height_lod );
int z1 = adFn( floorf( z - 0.5f ), depth_lod );
int x2 = adFn( floorf( x - 0.5f ) + 1, width_lod );
int y2 = adFn( floorf( y - 0.5f ) + 1, height_lod );
int z2 = adFn( floorf( z - 0.5f ) + 1, depth_lod );
if( verbose )
log_info( "\tActual integer coords used (i = floor(x-.5)): i0:{%d, %d, %d} and i1:{%d, %d, %d}\n", x1, y1, z1, x2, y2, z2 );
float upLeftA[ 4 ], upRightA[ 4 ], lowLeftA[ 4 ], lowRightA[ 4 ];
float upLeftB[ 4 ], upRightB[ 4 ], lowLeftB[ 4 ], lowRightB[ 4 ];
float pixelMaxA[4], pixelMaxB[4];
read_image_pixel_float( imageData, imageInfo, x1, y1, z1, upLeftA, lod );
read_image_pixel_float( imageData, imageInfo, x2, y1, z1, upRightA, lod );
check_for_denorms( upLeftA, containsDenorms );
check_for_denorms( upRightA, containsDenorms );
pixelMax( upLeftA, upRightA, pixelMaxA );
read_image_pixel_float( imageData, imageInfo, x1, y2, z1, lowLeftA, lod );
read_image_pixel_float( imageData, imageInfo, x2, y2, z1, lowRightA, lod );
check_for_denorms( lowLeftA, containsDenorms );
check_for_denorms( lowRightA, containsDenorms );
pixelMax( lowLeftA, lowRightA, pixelMaxB );
pixelMax( pixelMaxA, pixelMaxB, returnVal.p);
read_image_pixel_float( imageData, imageInfo, x1, y1, z2, upLeftB, lod );
read_image_pixel_float( imageData, imageInfo, x2, y1, z2, upRightB, lod );
check_for_denorms( upLeftB, containsDenorms );
check_for_denorms( upRightB, containsDenorms );
pixelMax( upLeftB, upRightB, pixelMaxA );
read_image_pixel_float( imageData, imageInfo, x1, y2, z2, lowLeftB, lod );
read_image_pixel_float( imageData, imageInfo, x2, y2, z2, lowRightB, lod );
check_for_denorms( lowLeftB, containsDenorms );
check_for_denorms( lowRightB, containsDenorms );
pixelMax( lowLeftB, lowRightB, pixelMaxB );
pixelMax( pixelMaxA, pixelMaxB, pixelMaxA);
pixelMax( pixelMaxA, returnVal.p, returnVal.p );
if( verbose )
{
if( NULL == containsDenorms )
log_info( "\tSampled pixels (rgba order, denorms flushed to zero):\n" );
else
log_info( "\tSampled pixels (rgba order):\n" );
log_info( "\t\tp000: %f, %f, %f, %f\n", upLeftA[0], upLeftA[1], upLeftA[2], upLeftA[3] );
log_info( "\t\tp001: %f, %f, %f, %f\n", upRightA[0], upRightA[1], upRightA[2], upRightA[3] );
log_info( "\t\tp010: %f, %f, %f, %f\n", lowLeftA[0], lowLeftA[1], lowLeftA[2], lowLeftA[3] );
log_info( "\t\tp011: %f, %f, %f, %f\n\n", lowRightA[0], lowRightA[1], lowRightA[2], lowRightA[3] );
log_info( "\t\tp100: %f, %f, %f, %f\n", upLeftB[0], upLeftB[1], upLeftB[2], upLeftB[3] );
log_info( "\t\tp101: %f, %f, %f, %f\n", upRightB[0], upRightB[1], upRightB[2], upRightB[3] );
log_info( "\t\tp110: %f, %f, %f, %f\n", lowLeftB[0], lowLeftB[1], lowLeftB[2], lowLeftB[3] );
log_info( "\t\tp111: %f, %f, %f, %f\n", lowRightB[0], lowRightB[1], lowRightB[2], lowRightB[3] );
}
double weights[ 2 ][ 2 ][ 2 ];
float a = frac( x - 0.5f ), b = frac( y - 0.5f ), c = frac( z - 0.5f );
weights[ 0 ][ 0 ][ 0 ] = weights[ 0 ][ 1 ][ 0 ] = weights[ 0 ][ 0 ][ 1 ] = weights[ 0 ][ 1 ][ 1 ] = 1.f - a;
weights[ 1 ][ 0 ][ 0 ] = weights[ 1 ][ 1 ][ 0 ] = weights[ 1 ][ 0 ][ 1 ] = weights[ 1 ][ 1 ][ 1 ] = a;
weights[ 0 ][ 0 ][ 0 ] *= 1.f - b;
weights[ 1 ][ 0 ][ 0 ] *= 1.f - b;
weights[ 0 ][ 0 ][ 1 ] *= 1.f - b;
weights[ 1 ][ 0 ][ 1 ] *= 1.f - b;
weights[ 0 ][ 1 ][ 0 ] *= b;
weights[ 1 ][ 1 ][ 0 ] *= b;
weights[ 0 ][ 1 ][ 1 ] *= b;
weights[ 1 ][ 1 ][ 1 ] *= b;
weights[ 0 ][ 0 ][ 0 ] *= 1.f - c;
weights[ 0 ][ 1 ][ 0 ] *= 1.f - c;
weights[ 1 ][ 0 ][ 0 ] *= 1.f - c;
weights[ 1 ][ 1 ][ 0 ] *= 1.f - c;
weights[ 0 ][ 0 ][ 1 ] *= c;
weights[ 0 ][ 1 ][ 1 ] *= c;
weights[ 1 ][ 0 ][ 1 ] *= c;
weights[ 1 ][ 1 ][ 1 ] *= c;
if( verbose )
log_info( "\tfrac( x - 0.5f ) = %f, frac( y - 0.5f ) = %f, frac( z - 0.5f ) = %f\n",
frac( x - 0.5f ), frac( y - 0.5f ), frac( z - 0.5f ) );
for( int i = 0; i < 3; i++ )
{
outData[ i ] = (float)( ( upLeftA[ i ] * weights[ 0 ][ 0 ][ 0 ] ) +
( upRightA[ i ] * weights[ 1 ][ 0 ][ 0 ] ) +
( lowLeftA[ i ] * weights[ 0 ][ 1 ][ 0 ] ) +
( lowRightA[ i ] * weights[ 1 ][ 1 ][ 0 ] ) +
( upLeftB[ i ] * weights[ 0 ][ 0 ][ 1 ] ) +
( upRightB[ i ] * weights[ 1 ][ 0 ][ 1 ] ) +
( lowLeftB[ i ] * weights[ 0 ][ 1 ][ 1 ] ) +
( lowRightB[ i ] * weights[ 1 ][ 1 ][ 1 ] ));
// flush subnormal results to zero if necessary
if( NULL == containsDenorms && fabs(outData[i]) < FLT_MIN )
outData[i] = copysignf( 0.0f, outData[i] );
}
outData[ 3 ] = (float)( ( upLeftA[ 3 ] * weights[ 0 ][ 0 ][ 0 ] ) +
( upRightA[ 3 ] * weights[ 1 ][ 0 ][ 0 ] ) +
( lowLeftA[ 3 ] * weights[ 0 ][ 1 ][ 0 ] ) +
( lowRightA[ 3 ] * weights[ 1 ][ 1 ][ 0 ] ) +
( upLeftB[ 3 ] * weights[ 0 ][ 0 ][ 1 ] ) +
( upRightB[ 3 ] * weights[ 1 ][ 0 ][ 1 ] ) +
( lowLeftB[ 3 ] * weights[ 0 ][ 1 ][ 1 ] ) +
( lowRightB[ 3 ] * weights[ 1 ][ 1 ][ 1 ] ));
// flush subnormal results to zero if necessary
if( NULL == containsDenorms && fabs(outData[3]) < FLT_MIN )
outData[3] = copysignf( 0.0f, outData[3] );
}
return returnVal;
}
}
FloatPixel sample_image_pixel_float_offset( void *imageData, image_descriptor *imageInfo,
float x, float y, float z, float xAddressOffset, float yAddressOffset, float zAddressOffset,
image_sampler_data *imageSampler, float *outData, int verbose, int *containsDenorms )
{
return sample_image_pixel_float_offset( imageData, imageInfo, x, y, z, xAddressOffset, yAddressOffset, zAddressOffset,
imageSampler, outData, verbose, containsDenorms, 0);
}
int debug_find_vector_in_image( void *imagePtr, image_descriptor *imageInfo,
void *vectorToFind, size_t vectorSize, int *outX, int *outY, int *outZ, size_t lod )
{
int foundCount = 0;
char *iPtr = (char *)imagePtr;
size_t width;
size_t depth;
size_t height;
size_t row_pitch;
size_t slice_pitch;
switch (imageInfo->type)
{
case CL_MEM_OBJECT_IMAGE1D:
width = (imageInfo->width >> lod) ? (imageInfo->width >> lod) : 1;
height = 1;
depth = 1;
break;
case CL_MEM_OBJECT_IMAGE1D_ARRAY:
width = (imageInfo->width >> lod) ? (imageInfo->width >> lod) : 1;
height = 1;
depth = imageInfo->arraySize;
break;
case CL_MEM_OBJECT_IMAGE2D:
width = (imageInfo->width >> lod) ? (imageInfo->width >> lod) : 1;
height = (imageInfo->height >> lod) ? (imageInfo->height >> lod) : 1;
depth = 1;
break;
case CL_MEM_OBJECT_IMAGE2D_ARRAY:
width = (imageInfo->width >> lod) ? (imageInfo->width >> lod) : 1;
height = (imageInfo->height >> lod) ? (imageInfo->height >> lod) : 1;
depth = imageInfo->arraySize;
break;
case CL_MEM_OBJECT_IMAGE3D:
width = (imageInfo->width >> lod) ? (imageInfo->width >> lod) : 1;
height = (imageInfo->height >> lod) ? (imageInfo->height >> lod) : 1;
depth = (imageInfo->depth >> lod) ? (imageInfo->depth >> lod) : 1;
break;
}
row_pitch = width * get_pixel_size( imageInfo->format );
slice_pitch = row_pitch * height;
for( size_t z = 0; z < depth; z++ )
{
for( size_t y = 0; y < height; y++ )
{
for( size_t x = 0; x < width; x++)
{
if( memcmp( iPtr, vectorToFind, vectorSize ) == 0 )
{
if( foundCount == 0 )
{
*outX = (int)x;
if (outY != NULL)
*outY = (int)y;
if( outZ != NULL )
*outZ = (int)z;
}
foundCount++;
}
iPtr += vectorSize;
}
iPtr += row_pitch - ( width * vectorSize );
}
iPtr += slice_pitch - ( height * row_pitch );
}
return foundCount;
}
int debug_find_pixel_in_image( void *imagePtr, image_descriptor *imageInfo,
unsigned int *valuesToFind, int *outX, int *outY, int *outZ, int lod )
{
char vectorToFind[ 4 * 4 ];
size_t vectorSize = get_format_channel_count( imageInfo->format );
if( imageInfo->format->image_channel_data_type == CL_UNSIGNED_INT8 )
{
unsigned char *p = (unsigned char *)vectorToFind;
for( unsigned int i = 0; i < vectorSize; i++ )
p[i] = (unsigned char)valuesToFind[i];
}
else if( imageInfo->format->image_channel_data_type == CL_UNSIGNED_INT16 )
{
unsigned short *p = (unsigned short *)vectorToFind;
for( unsigned int i = 0; i < vectorSize; i++ )
p[i] = (unsigned short)valuesToFind[i];
vectorSize *= 2;
}
else if( imageInfo->format->image_channel_data_type == CL_UNSIGNED_INT32 )
{
unsigned int *p = (unsigned int *)vectorToFind;
for( unsigned int i = 0; i < vectorSize; i++ )
p[i] = (unsigned int)valuesToFind[i];
vectorSize *= 4;
}
else
{
log_info( "WARNING: Unable to search for debug pixel: invalid image format\n" );
return false;
}
return debug_find_vector_in_image( imagePtr, imageInfo, vectorToFind, vectorSize, outX, outY, outZ, lod );
}
int debug_find_pixel_in_image( void *imagePtr, image_descriptor *imageInfo,
int *valuesToFind, int *outX, int *outY, int *outZ, int lod )
{
char vectorToFind[ 4 * 4 ];
size_t vectorSize = get_format_channel_count( imageInfo->format );
if( imageInfo->format->image_channel_data_type == CL_SIGNED_INT8 )
{
char *p = (char *)vectorToFind;
for( unsigned int i = 0; i < vectorSize; i++ )
p[i] = (char)valuesToFind[i];
}
else if( imageInfo->format->image_channel_data_type == CL_SIGNED_INT16 )
{
short *p = (short *)vectorToFind;
for( unsigned int i = 0; i < vectorSize; i++ )
p[i] = (short)valuesToFind[i];
vectorSize *= 2;
}
else if( imageInfo->format->image_channel_data_type == CL_SIGNED_INT32 )
{
int *p = (int *)vectorToFind;
for( unsigned int i = 0; i < vectorSize; i++ )
p[i] = (int)valuesToFind[i];
vectorSize *= 4;
}
else
{
log_info( "WARNING: Unable to search for debug pixel: invalid image format\n" );
return false;
}
return debug_find_vector_in_image( imagePtr, imageInfo, vectorToFind, vectorSize, outX, outY, outZ, lod );
}
int debug_find_pixel_in_image( void *imagePtr, image_descriptor *imageInfo,
float *valuesToFind, int *outX, int *outY, int *outZ, int lod )
{
char vectorToFind[ 4 * 4 ];
float swizzled[4];
memcpy( swizzled, valuesToFind, sizeof( swizzled ) );
size_t vectorSize = get_pixel_size( imageInfo->format );
pack_image_pixel( swizzled, imageInfo->format, vectorToFind );
return debug_find_vector_in_image( imagePtr, imageInfo, vectorToFind, vectorSize, outX, outY, outZ, lod );
}
template <class T> void swizzle_vector_for_image( T *srcVector, const cl_image_format *imageFormat )
{
T temp;
switch( imageFormat->image_channel_order )
{
case CL_A:
srcVector[ 0 ] = srcVector[ 3 ];
break;
case CL_R:
case CL_Rx:
case CL_RG:
case CL_RGx:
case CL_RGB:
case CL_RGBx:
case CL_RGBA:
case CL_sRGB:
case CL_sRGBx:
case CL_sRGBA:
break;
case CL_RA:
srcVector[ 1 ] = srcVector[ 3 ];
break;
case CL_ARGB:
temp = srcVector[ 3 ];
srcVector[ 3 ] = srcVector[ 2 ];
srcVector[ 2 ] = srcVector[ 1 ];
srcVector[ 1 ] = srcVector[ 0 ];
srcVector[ 0 ] = temp;
break;
case CL_BGRA:
case CL_sBGRA:
temp = srcVector[ 0 ];
srcVector[ 0 ] = srcVector[ 2 ];
srcVector[ 2 ] = temp;
break;
case CL_INTENSITY:
srcVector[ 3 ] = srcVector[ 0 ];
srcVector[ 2 ] = srcVector[ 0 ];
srcVector[ 1 ] = srcVector[ 0 ];
break;
case CL_LUMINANCE:
srcVector[ 2 ] = srcVector[ 0 ];
srcVector[ 1 ] = srcVector[ 0 ];
break;
#ifdef CL_1RGB_APPLE
case CL_1RGB_APPLE:
temp = srcVector[ 3 ];
srcVector[ 3 ] = srcVector[ 2 ];
srcVector[ 2 ] = srcVector[ 1 ];
srcVector[ 1 ] = srcVector[ 0 ];
srcVector[ 0 ] = temp;
break;
#endif
#ifdef CL_BGR1_APPLE
case CL_BGR1_APPLE:
temp = srcVector[ 0 ];
srcVector[ 0 ] = srcVector[ 2 ];
srcVector[ 2 ] = temp;
break;
#endif
}
}
#define SATURATE( v, min, max ) ( v < min ? min : ( v > max ? max : v ) )
void pack_image_pixel( unsigned int *srcVector, const cl_image_format *imageFormat, void *outData )
{
swizzle_vector_for_image<unsigned int>( srcVector, imageFormat );
size_t channelCount = get_format_channel_count( imageFormat );
switch( imageFormat->image_channel_data_type )
{
case CL_UNSIGNED_INT8:
{
unsigned char *ptr = (unsigned char *)outData;
for( unsigned int i = 0; i < channelCount; i++ )
ptr[ i ] = (unsigned char)SATURATE( srcVector[ i ], 0, 255 );
break;
}
case CL_UNSIGNED_INT16:
{
unsigned short *ptr = (unsigned short *)outData;
for( unsigned int i = 0; i < channelCount; i++ )
ptr[ i ] = (unsigned short)SATURATE( srcVector[ i ], 0, 65535 );
break;
}
case CL_UNSIGNED_INT32:
{
unsigned int *ptr = (unsigned int *)outData;
for( unsigned int i = 0; i < channelCount; i++ )
ptr[ i ] = (unsigned int)srcVector[ i ];
break;
}
default:
break;
}
}
void pack_image_pixel( int *srcVector, const cl_image_format *imageFormat, void *outData )
{
swizzle_vector_for_image<int>( srcVector, imageFormat );
size_t chanelCount = get_format_channel_count( imageFormat );
switch( imageFormat->image_channel_data_type )
{
case CL_SIGNED_INT8:
{
char *ptr = (char *)outData;
for( unsigned int i = 0; i < chanelCount; i++ )
ptr[ i ] = (char)SATURATE( srcVector[ i ], -128, 127 );
break;
}
case CL_SIGNED_INT16:
{
short *ptr = (short *)outData;
for( unsigned int i = 0; i < chanelCount; i++ )
ptr[ i ] = (short)SATURATE( srcVector[ i ], -32768, 32767 );
break;
}
case CL_SIGNED_INT32:
{
int *ptr = (int *)outData;
for( unsigned int i = 0; i < chanelCount; i++ )
ptr[ i ] = (int)srcVector[ i ];
break;
}
default:
break;
}
}
int round_to_even( float v )
{
// clamp overflow
if( v >= - (float) INT_MIN )
return INT_MAX;
if( v <= (float) INT_MIN )
return INT_MIN;
// round fractional values to integer value
if( fabsf(v) < MAKE_HEX_FLOAT(0x1.0p23f, 0x1L, 23) )
{
static const float magic[2] = { MAKE_HEX_FLOAT(0x1.0p23f, 0x1L, 23), MAKE_HEX_FLOAT(-0x1.0p23f, -0x1L, 23) };
float magicVal = magic[ v < 0.0f ];
v += magicVal;
v -= magicVal;
}
return (int) v;
}
void pack_image_pixel( float *srcVector, const cl_image_format *imageFormat, void *outData )
{
swizzle_vector_for_image<float>( srcVector, imageFormat );
size_t channelCount = get_format_channel_count( imageFormat );
switch( imageFormat->image_channel_data_type )
{
case CL_HALF_FLOAT:
{
cl_ushort *ptr = (cl_ushort *)outData;
switch( gFloatToHalfRoundingMode )
{
case kRoundToNearestEven:
for( unsigned int i = 0; i < channelCount; i++ )
ptr[ i ] = float2half_rte( srcVector[ i ] );
break;
case kRoundTowardZero:
for( unsigned int i = 0; i < channelCount; i++ )
ptr[ i ] = float2half_rtz( srcVector[ i ] );
break;
default:
log_error( "ERROR: Test internal error -- unhandled or unknown float->half rounding mode.\n" );
exit(-1);
break;
}
break;
}
case CL_FLOAT:
{
cl_float *ptr = (cl_float *)outData;
for( unsigned int i = 0; i < channelCount; i++ )
ptr[ i ] = srcVector[ i ];
break;
}
case CL_SNORM_INT8:
{
cl_char *ptr = (cl_char *)outData;
for( unsigned int i = 0; i < channelCount; i++ )
ptr[ i ] = (cl_char)NORMALIZE_SIGNED( srcVector[ i ], -127.0f, 127.f );
break;
}
case CL_SNORM_INT16:
{
cl_short *ptr = (cl_short *)outData;
for( unsigned int i = 0; i < channelCount; i++ )
ptr[ i ] = (short)NORMALIZE_SIGNED( srcVector[ i ], -32767.f, 32767.f );
break;
}
case CL_UNORM_INT8:
{
cl_uchar *ptr = (cl_uchar *)outData;
if ( is_sRGBA_order(imageFormat->image_channel_order) )
{
ptr[ 0 ] = (unsigned char)( sRGBmap( srcVector[ 0 ] ) + 0.5 );
ptr[ 1 ] = (unsigned char)( sRGBmap( srcVector[ 1 ] ) + 0.5 );
ptr[ 2 ] = (unsigned char)( sRGBmap( srcVector[ 2 ] ) + 0.5 );
if (channelCount == 4)
ptr[ 3 ] = (unsigned char)NORMALIZE( srcVector[ 3 ], 255.f );
}
else
{
for( unsigned int i = 0; i < channelCount; i++ )
ptr[ i ] = (unsigned char)NORMALIZE( srcVector[ i ], 255.f );
}
#ifdef CL_1RGB_APPLE
if( imageFormat->image_channel_order == CL_1RGB_APPLE )
ptr[0] = 255.0f;
#endif
#ifdef CL_BGR1_APPLE
if( imageFormat->image_channel_order == CL_BGR1_APPLE )
ptr[3] = 255.0f;
#endif
break;
}
case CL_UNORM_INT16:
{
cl_ushort *ptr = (cl_ushort *)outData;
for( unsigned int i = 0; i < channelCount; i++ )
ptr[ i ] = (unsigned short)NORMALIZE( srcVector[ i ], 65535.f );
break;
}
case CL_UNORM_SHORT_555:
{
cl_ushort *ptr = (cl_ushort *)outData;
ptr[ 0 ] = ( ( (unsigned short)NORMALIZE( srcVector[ 0 ], 31.f ) & 31 ) << 10 ) |
( ( (unsigned short)NORMALIZE( srcVector[ 1 ], 31.f ) & 31 ) << 5 ) |
( ( (unsigned short)NORMALIZE( srcVector[ 2 ], 31.f ) & 31 ) << 0 );
break;
}
case CL_UNORM_SHORT_565:
{
cl_ushort *ptr = (cl_ushort *)outData;
ptr[ 0 ] = ( ( (unsigned short)NORMALIZE( srcVector[ 0 ], 31.f ) & 31 ) << 11 ) |
( ( (unsigned short)NORMALIZE( srcVector[ 1 ], 63.f ) & 63 ) << 5 ) |
( ( (unsigned short)NORMALIZE( srcVector[ 2 ], 31.f ) & 31 ) << 0 );
break;
}
case CL_UNORM_INT_101010:
{
cl_uint *ptr = (cl_uint *)outData;
ptr[ 0 ] = ( ( (unsigned int)NORMALIZE( srcVector[ 0 ], 1023.f ) & 1023 ) << 20 ) |
( ( (unsigned int)NORMALIZE( srcVector[ 1 ], 1023.f ) & 1023 ) << 10 ) |
( ( (unsigned int)NORMALIZE( srcVector[ 2 ], 1023.f ) & 1023 ) << 0 );
break;
}
case CL_SIGNED_INT8:
{
cl_char *ptr = (cl_char *)outData;
for( unsigned int i = 0; i < channelCount; i++ )
ptr[ i ] = (cl_char)CONVERT_INT( srcVector[ i ], -127.0f, 127.f, 127 );
break;
}
case CL_SIGNED_INT16:
{
cl_short *ptr = (cl_short *)outData;
for( unsigned int i = 0; i < channelCount; i++ )
ptr[ i ] = (short)CONVERT_INT( srcVector[ i ], -32767.f, 32767.f, 32767 );
break;
}
case CL_SIGNED_INT32:
{
cl_int *ptr = (cl_int *)outData;
for( unsigned int i = 0; i < channelCount; i++ )
ptr[ i ] = (int)CONVERT_INT( srcVector[ i ], MAKE_HEX_FLOAT( -0x1.0p31f, -1, 31), MAKE_HEX_FLOAT( 0x1.fffffep30f, 0x1fffffe, 30-23), CL_INT_MAX );
break;
}
case CL_UNSIGNED_INT8:
{
cl_uchar *ptr = (cl_uchar *)outData;
for( unsigned int i = 0; i < channelCount; i++ )
ptr[ i ] = (cl_uchar)CONVERT_UINT( srcVector[ i ], 255.f, CL_UCHAR_MAX );
break;
}
case CL_UNSIGNED_INT16:
{
cl_ushort *ptr = (cl_ushort *)outData;
for( unsigned int i = 0; i < channelCount; i++ )
ptr[ i ] = (cl_ushort)CONVERT_UINT( srcVector[ i ], 32767.f, CL_USHRT_MAX );
break;
}
case CL_UNSIGNED_INT32:
{
cl_uint *ptr = (cl_uint *)outData;
for( unsigned int i = 0; i < channelCount; i++ )
ptr[ i ] = (cl_uint)CONVERT_UINT( srcVector[ i ], MAKE_HEX_FLOAT( 0x1.fffffep31f, 0x1fffffe, 31-23), CL_UINT_MAX );
break;
}
#ifdef CL_SFIXED14_APPLE
case CL_SFIXED14_APPLE:
{
cl_ushort *ptr = (cl_ushort*)outData;
for( unsigned int i = 0; i < channelCount; i++ )
{
cl_float f = fmaxf( srcVector[i], -1.0f );
f = fminf( f, 3.0f );
cl_int d = rintf(f * 0x1.0p14f);
d += 16384;
if( d > CL_USHRT_MAX )
d = CL_USHRT_MAX;
ptr[i] = d;
}
break;
}
#endif
default:
log_error( "INTERNAL ERROR: unknown format (%d)\n", imageFormat->image_channel_data_type);
exit(-1);
break;
}
}
void pack_image_pixel_error( const float *srcVector, const cl_image_format *imageFormat, const void *results, float *errors )
{
size_t channelCount = get_format_channel_count( imageFormat );
switch( imageFormat->image_channel_data_type )
{
case CL_HALF_FLOAT:
{
const cl_ushort *ptr = (const cl_ushort *)results;
for( unsigned int i = 0; i < channelCount; i++ )
errors[i] = Ulp_Error_Half( ptr[i], srcVector[i] );
break;
}
case CL_FLOAT:
{
const cl_ushort *ptr = (const cl_ushort *)results;
for( unsigned int i = 0; i < channelCount; i++ )
errors[i] = Ulp_Error( ptr[i], srcVector[i] );
break;
}
case CL_SNORM_INT8:
{
const cl_char *ptr = (const cl_char *)results;
for( unsigned int i = 0; i < channelCount; i++ )
errors[i] = ptr[i] - NORMALIZE_SIGNED_UNROUNDED( srcVector[ i ], -127.0f, 127.f );
break;
}
case CL_SNORM_INT16:
{
const cl_short *ptr = (const cl_short *)results;
for( unsigned int i = 0; i < channelCount; i++ )
errors[i] = ptr[i] - NORMALIZE_SIGNED_UNROUNDED( srcVector[ i ], -32767.f, 32767.f );
break;
}
case CL_UNORM_INT8:
{
const cl_uchar *ptr = (const cl_uchar *)results;
for( unsigned int i = 0; i < channelCount; i++ )
errors[i] = ptr[i] - NORMALIZE_UNROUNDED( srcVector[ i ], 255.f );
break;
}
case CL_UNORM_INT16:
{
const cl_ushort *ptr = (const cl_ushort *)results;
for( unsigned int i = 0; i < channelCount; i++ )
errors[i] = ptr[i] - NORMALIZE_UNROUNDED( srcVector[ i ], 65535.f );
break;
}
case CL_UNORM_SHORT_555:
{
const cl_ushort *ptr = (const cl_ushort *)results;
errors[0] = ((ptr[0] >> 10) & 31) - NORMALIZE_UNROUNDED( srcVector[ 0 ], 31.f );
errors[1] = ((ptr[0] >> 5) & 31) - NORMALIZE_UNROUNDED( srcVector[ 1 ], 31.f );
errors[2] = ((ptr[0] >> 0) & 31) - NORMALIZE_UNROUNDED( srcVector[ 2 ], 31.f );
break;
}
case CL_UNORM_SHORT_565:
{
const cl_ushort *ptr = (const cl_ushort *)results;
errors[0] = ((ptr[0] >> 11) & 31) - NORMALIZE_UNROUNDED( srcVector[ 0 ], 31.f );
errors[1] = ((ptr[0] >> 5) & 63) - NORMALIZE_UNROUNDED( srcVector[ 1 ], 63.f );
errors[2] = ((ptr[0] >> 0) & 31) - NORMALIZE_UNROUNDED( srcVector[ 2 ], 31.f );
break;
}
case CL_UNORM_INT_101010:
{
const cl_uint *ptr = (const cl_uint *)results;
errors[0] = ((ptr[0] >> 20) & 1023) - NORMALIZE_UNROUNDED( srcVector[ 0 ], 1023.f );
errors[1] = ((ptr[0] >> 10) & 1023) - NORMALIZE_UNROUNDED( srcVector[ 1 ], 1023.f );
errors[2] = ((ptr[0] >> 0) & 1023) - NORMALIZE_UNROUNDED( srcVector[ 2 ], 1023.f );
break;
}
case CL_SIGNED_INT8:
{
const cl_char *ptr = (const cl_char *)results;
for( unsigned int i = 0; i < channelCount; i++ )
errors[ i ] = ptr[i] - CONVERT_INT( srcVector[ i ], -127.0f, 127.f, 127 );
break;
}
case CL_SIGNED_INT16:
{
const cl_short *ptr = (const cl_short *)results;
for( unsigned int i = 0; i < channelCount; i++ )
errors[i] = ptr[ i ] - CONVERT_INT( srcVector[ i ], -32767.f, 32767.f, 32767 );
break;
}
case CL_SIGNED_INT32:
{
const cl_int *ptr = (const cl_int *)results;
for( unsigned int i = 0; i < channelCount; i++ )
errors[i] = (cl_float)((cl_long) ptr[ i ] - (cl_long) CONVERT_INT( srcVector[ i ], MAKE_HEX_FLOAT( -0x1.0p31f, -1, 31), MAKE_HEX_FLOAT( 0x1.fffffep30f, 0x1fffffe, 30-23), CL_INT_MAX ));
break;
}
case CL_UNSIGNED_INT8:
{
const cl_uchar *ptr = (const cl_uchar *)results;
for( unsigned int i = 0; i < channelCount; i++ )
errors[i] = (cl_int) ptr[ i ] - (cl_int) CONVERT_UINT( srcVector[ i ], 255.f, CL_UCHAR_MAX );
break;
}
case CL_UNSIGNED_INT16:
{
const cl_ushort *ptr = (const cl_ushort *)results;
for( unsigned int i = 0; i < channelCount; i++ )
errors[i] = (cl_int) ptr[ i ] - (cl_int) CONVERT_UINT( srcVector[ i ], 32767.f, CL_USHRT_MAX );
break;
}
case CL_UNSIGNED_INT32:
{
const cl_uint *ptr = (const cl_uint *)results;
for( unsigned int i = 0; i < channelCount; i++ )
errors[i] = (cl_float)((cl_long) ptr[ i ] - (cl_long)CONVERT_UINT( srcVector[ i ], MAKE_HEX_FLOAT( 0x1.fffffep31f, 0x1fffffe, 31-23), CL_UINT_MAX ));
break;
}
#ifdef CL_SFIXED14_APPLE
case CL_SFIXED14_APPLE:
{
const cl_ushort *ptr = (const cl_ushort *)results;
for( unsigned int i = 0; i < channelCount; i++ )
errors[i] = ptr[i] - NORMALIZE_SIGNED_UNROUNDED( ((int) srcVector[ i ] - 16384), -16384.f, 49151.f );
break;
}
#endif
default:
log_error( "INTERNAL ERROR: unknown format (%d)\n", imageFormat->image_channel_data_type);
exit(-1);
break;
}
}
//
// Autodetect which rounding mode is used for image writes to CL_HALF_FLOAT
// This should be called lazily before attempting to verify image writes, otherwise an error will occur.
//
int DetectFloatToHalfRoundingMode( cl_command_queue q ) // Returns CL_SUCCESS on success
{
cl_int err = CL_SUCCESS;
if( gFloatToHalfRoundingMode == kDefaultRoundingMode )
{
// Some numbers near 0.5f, that we look at to see how the values are rounded.
static const cl_uint inData[4*4] = { 0x3f000fffU, 0x3f001000U, 0x3f001001U, 0U, 0x3f001fffU, 0x3f002000U, 0x3f002001U, 0U,
0x3f002fffU, 0x3f003000U, 0x3f003001U, 0U, 0x3f003fffU, 0x3f004000U, 0x3f004001U, 0U };
static const size_t count = sizeof( inData ) / (4*sizeof( inData[0] ));
const float *inp = (const float*) inData;
cl_context context = NULL;
// Create an input buffer
err = clGetCommandQueueInfo( q, CL_QUEUE_CONTEXT, sizeof(context), &context, NULL );
if( err )
{
log_error( "Error: could not get context from command queue in DetectFloatToHalfRoundingMode (%d)", err );
return err;
}
cl_mem inBuf = clCreateBuffer( context, CL_MEM_READ_ONLY | CL_MEM_COPY_HOST_PTR | CL_MEM_ALLOC_HOST_PTR, sizeof( inData ), (void*) inData, &err );
if( NULL == inBuf || err )
{
log_error( "Error: could not create input buffer in DetectFloatToHalfRoundingMode (err: %d)", err );
return err;
}
// Create a small output image
cl_image_format fmt = { CL_RGBA, CL_HALF_FLOAT };
cl_mem outImage = create_image_2d( context, CL_MEM_WRITE_ONLY, &fmt, count, 1, 0, NULL, &err );
if( NULL == outImage || err )
{
log_error( "Error: could not create half float out image in DetectFloatToHalfRoundingMode (err: %d)", err );
clReleaseMemObject( inBuf );
return err;
}
// Create our program, and a kernel
const char *kernel[1] = {
"kernel void detect_round( global float4 *in, write_only image2d_t out )\n"
"{\n"
" write_imagef( out, (int2)(get_global_id(0),0), in[get_global_id(0)] );\n"
"}\n" };
clProgramWrapper program;
err = create_single_kernel_helper_create_program(context, &program, 1, kernel);
if( NULL == program || err )
{
log_error( "Error: could not create program in DetectFloatToHalfRoundingMode (err: %d)", err );
clReleaseMemObject( inBuf );
clReleaseMemObject( outImage );
return err;
}
cl_device_id device = NULL;
err = clGetCommandQueueInfo( q, CL_QUEUE_DEVICE, sizeof(device), &device, NULL );
if( err )
{
log_error( "Error: could not get device from command queue in DetectFloatToHalfRoundingMode (%d)", err );
clReleaseMemObject( inBuf );
clReleaseMemObject( outImage );
return err;
}
err = clBuildProgram( program, 1, &device, "", NULL, NULL );
if( err )
{
log_error( "Error: could not build program in DetectFloatToHalfRoundingMode (%d)", err );
clReleaseMemObject( inBuf );
clReleaseMemObject( outImage );
return err;
}
cl_kernel k = clCreateKernel( program, "detect_round", &err );
if( NULL == k || err )
{
log_error( "Error: could not create kernel in DetectFloatToHalfRoundingMode (%d)", err );
clReleaseMemObject( inBuf );
clReleaseMemObject( outImage );
return err;
}
err = clSetKernelArg( k, 0, sizeof( cl_mem ), &inBuf );
if( err )
{
log_error( "Error: could not set argument 0 of kernel in DetectFloatToHalfRoundingMode (%d)", err );
clReleaseMemObject( inBuf );
clReleaseMemObject( outImage );
clReleaseKernel( k );
return err;
}
err = clSetKernelArg( k, 1, sizeof( cl_mem ), &outImage );
if( err )
{
log_error( "Error: could not set argument 1 of kernel in DetectFloatToHalfRoundingMode (%d)", err );
clReleaseMemObject( inBuf );
clReleaseMemObject( outImage );
clReleaseKernel( k );
return err;
}
// Run the kernel
size_t global_work_size = count;
err = clEnqueueNDRangeKernel( q, k, 1, NULL, &global_work_size, NULL, 0, NULL, NULL );
if( err )
{
log_error( "Error: could not enqueue kernel in DetectFloatToHalfRoundingMode (%d)", err );
clReleaseMemObject( inBuf );
clReleaseMemObject( outImage );
clReleaseKernel( k );
return err;
}
// read the results
cl_ushort outBuf[count*4];
memset( outBuf, -1, sizeof( outBuf ) );
size_t origin[3] = {0,0,0};
size_t region[3] = {count,1,1};
err = clEnqueueReadImage( q, outImage, CL_TRUE, origin, region, 0, 0, outBuf, 0, NULL, NULL );
if( err )
{
log_error( "Error: could not read output image in DetectFloatToHalfRoundingMode (%d)", err );
clReleaseMemObject( inBuf );
clReleaseMemObject( outImage );
clReleaseKernel( k );
return err;
}
// Generate our list of reference results
cl_ushort rte_ref[count*4];
cl_ushort rtz_ref[count*4];
for( size_t i = 0; i < 4 * count; i++ )
{
rte_ref[i] = float2half_rte( inp[i] );
rtz_ref[i] = float2half_rtz( inp[i] );
}
// Verify that we got something in either rtz or rte mode
if( 0 == memcmp( rte_ref, outBuf, sizeof( rte_ref )) )
{
log_info( "Autodetected float->half rounding mode to be rte\n" );
gFloatToHalfRoundingMode = kRoundToNearestEven;
}
else if ( 0 == memcmp( rtz_ref, outBuf, sizeof( rtz_ref )) )
{
log_info( "Autodetected float->half rounding mode to be rtz\n" );
gFloatToHalfRoundingMode = kRoundTowardZero;
}
else
{
log_error( "ERROR: float to half conversions proceed with invalid rounding mode!\n" );
log_info( "\nfor:" );
for( size_t i = 0; i < count; i++ )
log_info( " {%a, %a, %a, %a},", inp[4*i], inp[4*i+1], inp[4*i+2], inp[4*i+3] );
log_info( "\ngot:" );
for( size_t i = 0; i < count; i++ )
log_info( " {0x%4.4x, 0x%4.4x, 0x%4.4x, 0x%4.4x},", outBuf[4*i], outBuf[4*i+1], outBuf[4*i+2], outBuf[4*i+3] );
log_info( "\nrte:" );
for( size_t i = 0; i < count; i++ )
log_info( " {0x%4.4x, 0x%4.4x, 0x%4.4x, 0x%4.4x},", rte_ref[4*i], rte_ref[4*i+1], rte_ref[4*i+2], rte_ref[4*i+3] );
log_info( "\nrtz:" );
for( size_t i = 0; i < count; i++ )
log_info( " {0x%4.4x, 0x%4.4x, 0x%4.4x, 0x%4.4x},", rtz_ref[4*i], rtz_ref[4*i+1], rtz_ref[4*i+2], rtz_ref[4*i+3] );
log_info( "\n" );
err = -1;
gFloatToHalfRoundingMode = kRoundingModeCount; // illegal value
}
// clean up
clReleaseMemObject( inBuf );
clReleaseMemObject( outImage );
clReleaseKernel( k );
return err;
}
// Make sure that the rounding mode was successfully detected, if we checked earlier
if( gFloatToHalfRoundingMode != kRoundToNearestEven && gFloatToHalfRoundingMode != kRoundTowardZero)
return -2;
return err;
}
char *create_random_image_data( ExplicitType dataType, image_descriptor *imageInfo, BufferOwningPtr<char> &P, MTdata d, bool image2DFromBuffer )
{
size_t allocSize, numPixels;
if ( /*gTestMipmaps*/ imageInfo->num_mip_levels > 1 )
{
allocSize = (size_t) (compute_mipmapped_image_size(*imageInfo) * 4 * get_explicit_type_size( dataType ))/get_pixel_size(imageInfo->format);
numPixels = allocSize / (get_explicit_type_size( dataType ) * 4);
}
else
{
numPixels = (image2DFromBuffer? imageInfo->rowPitch: imageInfo->width) * imageInfo->height
* (imageInfo->depth ? imageInfo->depth : 1)
* (imageInfo->arraySize ? imageInfo->arraySize : 1);
allocSize = numPixels * 4 * get_explicit_type_size( dataType );
}
#if 0 // DEBUG
{
fprintf(stderr,"--- create_random_image_data:\n");
fprintf(stderr,"allocSize = %zu\n",allocSize);
fprintf(stderr,"numPixels = %zu\n",numPixels);
fprintf(stderr,"width = %zu\n",imageInfo->width);
fprintf(stderr,"height = %zu\n",imageInfo->height);
fprintf(stderr,"depth = %zu\n",imageInfo->depth);
fprintf(stderr,"rowPitch = %zu\n",imageInfo->rowPitch);
fprintf(stderr,"slicePitch = %zu\n",imageInfo->slicePitch);
fprintf(stderr,"arraySize = %zu\n",imageInfo->arraySize);
fprintf(stderr,"explicit_type_size = %zu\n",get_explicit_type_size(dataType));
}
#endif
#if defined( __APPLE__ )
char *data = NULL;
if (gDeviceType == CL_DEVICE_TYPE_CPU) {
size_t mapSize = ((allocSize + 4095L) & -4096L) + 8192; // alloc two extra pages.
void *map = mmap(0, mapSize, PROT_READ | PROT_WRITE, MAP_ANON | MAP_PRIVATE, 0, 0);
if (map == MAP_FAILED)
{
perror("create_random_image_data: mmap");
log_error("%s:%d: mmap failed, mapSize = %zu\n",__FILE__,__LINE__,mapSize);
}
intptr_t data_end = (intptr_t)map + mapSize - 4096;
data = (char *)(data_end - (intptr_t)allocSize);
mprotect(map, 4096, PROT_NONE);
mprotect((void *)((char *)map + mapSize - 4096), 4096, PROT_NONE);
P.reset(data, map, mapSize);
} else {
data = (char *)malloc(allocSize);
P.reset(data);
}
#else
char *data = (char *)align_malloc(allocSize, get_pixel_size(imageInfo->format));
P.reset(data,NULL,0,allocSize,true);
#endif
if (data == NULL) {
log_error( "ERROR: Unable to malloc %lu bytes for create_random_image_data\n", allocSize );
return NULL;
}
switch( dataType )
{
case kFloat:
{
float *inputValues = (float *)data;
switch (imageInfo->format->image_channel_data_type)
{
case CL_HALF_FLOAT:
{
// Generate data that is (mostly) inside the range of a half float
// const float HALF_MIN = 5.96046448e-08f;
const float HALF_MAX = 65504.0f;
size_t i = 0;
inputValues[ i++ ] = 0.f;
inputValues[ i++ ] = 1.f;
inputValues[ i++ ] = -1.f;
inputValues[ i++ ] = 2.f;
for( ; i < numPixels * 4; i++ )
inputValues[ i ] = get_random_float( -HALF_MAX - 2.f, HALF_MAX + 2.f, d );
}
break;
#ifdef CL_SFIXED14_APPLE
case CL_SFIXED14_APPLE:
{
size_t i = 0;
if( numPixels * 4 >= 8 )
{
inputValues[ i++ ] = INFINITY;
inputValues[ i++ ] = 0x1.0p14f;
inputValues[ i++ ] = 0x1.0p31f;
inputValues[ i++ ] = 0x1.0p32f;
inputValues[ i++ ] = -INFINITY;
inputValues[ i++ ] = -0x1.0p14f;
inputValues[ i++ ] = -0x1.0p31f;
inputValues[ i++ ] = -0x1.1p31f;
}
for( ; i < numPixels * 4; i++ )
inputValues[ i ] = get_random_float( -1.1f, 3.1f, d );
}
break;
#endif
case CL_FLOAT:
{
size_t i = 0;
inputValues[ i++ ] = INFINITY;
inputValues[ i++ ] = -INFINITY;
inputValues[ i++ ] = 0.0f;
inputValues[ i++ ] = 0.0f;
cl_uint *p = (cl_uint *)data;
for( ; i < numPixels * 4; i++ )
p[ i ] = genrand_int32(d);
}
break;
default:
size_t i = 0;
if( numPixels * 4 >= 36 )
{
inputValues[ i++ ] = 0.0f;
inputValues[ i++ ] = 0.5f;
inputValues[ i++ ] = 31.5f;
inputValues[ i++ ] = 32.0f;
inputValues[ i++ ] = 127.5f;
inputValues[ i++ ] = 128.0f;
inputValues[ i++ ] = 255.5f;
inputValues[ i++ ] = 256.0f;
inputValues[ i++ ] = 1023.5f;
inputValues[ i++ ] = 1024.0f;
inputValues[ i++ ] = 32767.5f;
inputValues[ i++ ] = 32768.0f;
inputValues[ i++ ] = 65535.5f;
inputValues[ i++ ] = 65536.0f;
inputValues[ i++ ] = 2147483648.0f;
inputValues[ i++ ] = 4294967296.0f;
inputValues[ i++ ] = MAKE_HEX_FLOAT( 0x1.0p63f, 1, 63 );
inputValues[ i++ ] = MAKE_HEX_FLOAT( 0x1.0p64f, 1, 64 );
inputValues[ i++ ] = -0.0f;
inputValues[ i++ ] = -0.5f;
inputValues[ i++ ] = -31.5f;
inputValues[ i++ ] = -32.0f;
inputValues[ i++ ] = -127.5f;
inputValues[ i++ ] = -128.0f;
inputValues[ i++ ] = -255.5f;
inputValues[ i++ ] = -256.0f;
inputValues[ i++ ] = -1023.5f;
inputValues[ i++ ] = -1024.0f;
inputValues[ i++ ] = -32767.5f;
inputValues[ i++ ] = -32768.0f;
inputValues[ i++ ] = -65535.5f;
inputValues[ i++ ] = -65536.0f;
inputValues[ i++ ] = -2147483648.0f;
inputValues[ i++ ] = -4294967296.0f;
inputValues[ i++ ] = -MAKE_HEX_FLOAT( 0x1.0p63f, 1, 63 );
inputValues[ i++ ] = -MAKE_HEX_FLOAT( 0x1.0p64f, 1, 64 );
}
if( is_format_signed(imageInfo->format) )
{
for( ; i < numPixels * 4; i++ )
inputValues[ i ] = get_random_float( -1.1f, 1.1f, d );
}
else
{
for( ; i < numPixels * 4; i++ )
inputValues[ i ] = get_random_float( -0.1f, 1.1f, d );
}
break;
}
break;
}
case kInt:
{
int *imageData = (int *)data;
// We want to generate ints (mostly) in range of the target format
int formatMin = get_format_min_int( imageInfo->format );
size_t formatMax = get_format_max_int( imageInfo->format );
if( formatMin == 0 )
{
// Unsigned values, but we are only an int, so cap the actual max at the max of signed ints
if( formatMax > 2147483647L )
formatMax = 2147483647L;
}
// If the final format is small enough, give us a bit of room for out-of-range values to test
if( formatMax < 2147483647L )
formatMax += 2;
if( formatMin > -2147483648LL )
formatMin -= 2;
// Now gen
for( size_t i = 0; i < numPixels * 4; i++ )
{
imageData[ i ] = random_in_range( formatMin, (int)formatMax, d );
}
break;
}
case kUInt:
case kUnsignedInt:
{
unsigned int *imageData = (unsigned int *)data;
// We want to generate ints (mostly) in range of the target format
int formatMin = get_format_min_int( imageInfo->format );
size_t formatMax = get_format_max_int( imageInfo->format );
if( formatMin < 0 )
formatMin = 0;
// If the final format is small enough, give us a bit of room for out-of-range values to test
if( formatMax < 4294967295LL )
formatMax += 2;
// Now gen
for( size_t i = 0; i < numPixels * 4; i++ )
{
imageData[ i ] = random_in_range( formatMin, (int)formatMax, d );
}
break;
}
default:
// Unsupported source format
delete [] data;
return NULL;
}
return data;
}
/*
deprecated
bool clamp_image_coord( image_sampler_data *imageSampler, float value, size_t max, int &outValue )
{
int v = (int)value;
switch(imageSampler->addressing_mode)
{
case CL_ADDRESS_REPEAT:
outValue = v;
while( v < 0 )
v += (int)max;
while( v >= (int)max )
v -= (int)max;
if( v != outValue )
{
outValue = v;
return true;
}
return false;
case CL_ADDRESS_MIRRORED_REPEAT:
log_info( "ERROR: unimplemented for CL_ADDRESS_MIRRORED_REPEAT. Do we ever use this?
exit(-1);
default:
if( v < 0 )
{
outValue = 0;
return true;
}
if( v >= (int)max )
{
outValue = (int)max - 1;
return true;
}
outValue = v;
return false;
}
}
*/
void get_sampler_kernel_code( image_sampler_data *imageSampler, char *outLine )
{
const char *normalized;
const char *addressMode;
const char *filterMode;
if( imageSampler->addressing_mode == CL_ADDRESS_CLAMP )
addressMode = "CLK_ADDRESS_CLAMP";
else if( imageSampler->addressing_mode == CL_ADDRESS_CLAMP_TO_EDGE )
addressMode = "CLK_ADDRESS_CLAMP_TO_EDGE";
else if( imageSampler->addressing_mode == CL_ADDRESS_REPEAT )
addressMode = "CLK_ADDRESS_REPEAT";
else if( imageSampler->addressing_mode == CL_ADDRESS_MIRRORED_REPEAT )
addressMode = "CLK_ADDRESS_MIRRORED_REPEAT";
else if( imageSampler->addressing_mode == CL_ADDRESS_NONE )
addressMode = "CLK_ADDRESS_NONE";
else
{
log_error( "**Error: Unknown addressing mode! Aborting...\n" );
abort();
}
if( imageSampler->normalized_coords )
normalized = "CLK_NORMALIZED_COORDS_TRUE";
else
normalized = "CLK_NORMALIZED_COORDS_FALSE";
if( imageSampler->filter_mode == CL_FILTER_LINEAR )
filterMode = "CLK_FILTER_LINEAR";
else
filterMode = "CLK_FILTER_NEAREST";
sprintf( outLine, " const sampler_t imageSampler = %s | %s | %s;\n", addressMode, filterMode, normalized );
}
void copy_image_data( image_descriptor *srcImageInfo, image_descriptor *dstImageInfo, void *imageValues, void *destImageValues,
const size_t sourcePos[], const size_t destPos[], const size_t regionSize[] )
{
// assert( srcImageInfo->format == dstImageInfo->format );
size_t src_mip_level_offset = 0, dst_mip_level_offset = 0;
size_t sourcePos_lod[3], destPos_lod[3], src_lod, dst_lod;
size_t src_row_pitch_lod, src_slice_pitch_lod;
size_t dst_row_pitch_lod, dst_slice_pitch_lod;
size_t pixelSize = get_pixel_size( srcImageInfo->format );
sourcePos_lod[0] = sourcePos[0];
sourcePos_lod[1] = sourcePos[1];
sourcePos_lod[2] = sourcePos[2];
destPos_lod[0] = destPos[0];
destPos_lod[1] = destPos[1];
destPos_lod[2] = destPos[2];
src_row_pitch_lod = srcImageInfo->rowPitch;
dst_row_pitch_lod = dstImageInfo->rowPitch;
src_slice_pitch_lod = srcImageInfo->slicePitch;
dst_slice_pitch_lod = dstImageInfo->slicePitch;
if( srcImageInfo->num_mip_levels > 1)
{
size_t src_width_lod = 1/*srcImageInfo->width*/;
size_t src_height_lod = 1/*srcImageInfo->height*/;
size_t src_depth_lod = 1/*srcImageInfo->depth*/;
switch( srcImageInfo->type )
{
case CL_MEM_OBJECT_IMAGE1D:
src_lod = sourcePos[1];
sourcePos_lod[1] = sourcePos_lod[2] = 0;
src_width_lod = (srcImageInfo->width >> src_lod ) ? ( srcImageInfo->width >> src_lod ): 1;
break;
case CL_MEM_OBJECT_IMAGE1D_ARRAY:
case CL_MEM_OBJECT_IMAGE2D:
src_lod = sourcePos[2];
sourcePos_lod[1] = sourcePos[1];
sourcePos_lod[2] = 0;
src_width_lod = (srcImageInfo->width >> src_lod ) ? ( srcImageInfo->width >> src_lod ): 1;
if( srcImageInfo->type == CL_MEM_OBJECT_IMAGE2D )
src_height_lod = (srcImageInfo->height >> src_lod ) ? ( srcImageInfo->height >> src_lod ): 1;
break;
case CL_MEM_OBJECT_IMAGE2D_ARRAY:
case CL_MEM_OBJECT_IMAGE3D:
src_lod = sourcePos[3];
sourcePos_lod[1] = sourcePos[1];
sourcePos_lod[2] = sourcePos[2];
src_width_lod = (srcImageInfo->width >> src_lod ) ? ( srcImageInfo->width >> src_lod ): 1;
src_height_lod = (srcImageInfo->height >> src_lod ) ? ( srcImageInfo->height >> src_lod ): 1;
if( srcImageInfo->type == CL_MEM_OBJECT_IMAGE3D )
src_depth_lod = (srcImageInfo->depth >> src_lod ) ? ( srcImageInfo->depth >> src_lod ): 1;
break;
}
src_mip_level_offset = compute_mip_level_offset( srcImageInfo, src_lod );
src_row_pitch_lod = src_width_lod * get_pixel_size( srcImageInfo->format );
src_slice_pitch_lod = src_row_pitch_lod * src_height_lod;
}
if( dstImageInfo->num_mip_levels > 1)
{
size_t dst_width_lod = 1/*dstImageInfo->width*/;
size_t dst_height_lod = 1/*dstImageInfo->height*/;
size_t dst_depth_lod = 1 /*dstImageInfo->depth*/;
switch( dstImageInfo->type )
{
case CL_MEM_OBJECT_IMAGE1D:
dst_lod = destPos[1];
destPos_lod[1] = destPos_lod[2] = 0;
dst_width_lod = (dstImageInfo->width >> dst_lod ) ? ( dstImageInfo->width >> dst_lod ): 1;
break;
case CL_MEM_OBJECT_IMAGE1D_ARRAY:
case CL_MEM_OBJECT_IMAGE2D:
dst_lod = destPos[2];
destPos_lod[1] = destPos[1];
destPos_lod[2] = 0;
dst_width_lod = (dstImageInfo->width >> dst_lod ) ? ( dstImageInfo->width >> dst_lod ): 1;
if( dstImageInfo->type == CL_MEM_OBJECT_IMAGE2D )
dst_height_lod = (dstImageInfo->height >> dst_lod ) ? ( dstImageInfo->height >> dst_lod ): 1;
break;
case CL_MEM_OBJECT_IMAGE2D_ARRAY:
case CL_MEM_OBJECT_IMAGE3D:
dst_lod = destPos[3];
destPos_lod[1] = destPos[1];
destPos_lod[2] = destPos[2];
dst_width_lod = (dstImageInfo->width >> dst_lod ) ? ( dstImageInfo->width >> dst_lod ): 1;
dst_height_lod = (dstImageInfo->height >> dst_lod ) ? ( dstImageInfo->height >> dst_lod ): 1;
if( dstImageInfo->type == CL_MEM_OBJECT_IMAGE3D )
dst_depth_lod = (dstImageInfo->depth >> dst_lod ) ? ( dstImageInfo->depth >> dst_lod ): 1;
break;
}
dst_mip_level_offset = compute_mip_level_offset( dstImageInfo, dst_lod );
dst_row_pitch_lod = dst_width_lod * get_pixel_size( dstImageInfo->format);
dst_slice_pitch_lod = dst_row_pitch_lod * dst_height_lod;
}
// Get initial pointers
char *sourcePtr = (char *)imageValues + sourcePos_lod[ 2 ] * src_slice_pitch_lod + sourcePos_lod[ 1 ] * src_row_pitch_lod + pixelSize * sourcePos_lod[ 0 ] + src_mip_level_offset;
char *destPtr = (char *)destImageValues + destPos_lod[ 2 ] * dst_slice_pitch_lod + destPos_lod[ 1 ] * dst_row_pitch_lod + pixelSize * destPos_lod[ 0 ] + dst_mip_level_offset;
for( size_t z = 0; z < ( regionSize[ 2 ] > 0 ? regionSize[ 2 ] : 1 ); z++ )
{
char *rowSourcePtr = sourcePtr;
char *rowDestPtr = destPtr;
for( size_t y = 0; y < regionSize[ 1 ]; y++ )
{
memcpy( rowDestPtr, rowSourcePtr, pixelSize * regionSize[ 0 ] );
rowSourcePtr += src_row_pitch_lod;
rowDestPtr += dst_row_pitch_lod;
}
sourcePtr += src_slice_pitch_lod;
destPtr += dst_slice_pitch_lod;
}
}
float random_float(float low, float high, MTdata d)
{
float t = (float) genrand_real1(d);
return (1.0f - t) * low + t * high;
}
CoordWalker::CoordWalker( void * coords, bool useFloats, size_t vecSize )
{
if( useFloats )
{
mFloatCoords = (cl_float *)coords;
mIntCoords = NULL;
}
else
{
mFloatCoords = NULL;
mIntCoords = (cl_int *)coords;
}
mVecSize = vecSize;
}
CoordWalker::~CoordWalker()
{
}
cl_float CoordWalker::Get( size_t idx, size_t el )
{
if( mIntCoords != NULL )
return (cl_float)mIntCoords[ idx * mVecSize + el ];
else
return mFloatCoords[ idx * mVecSize + el ];
}
void print_read_header( cl_image_format *format, image_sampler_data *sampler, bool err, int t )
{
const char *addressMode = NULL;
const char *normalizedNames[2] = { "UNNORMALIZED", "NORMALIZED" };
if( sampler->addressing_mode == CL_ADDRESS_CLAMP )
addressMode = "CL_ADDRESS_CLAMP";
else if( sampler->addressing_mode == CL_ADDRESS_CLAMP_TO_EDGE )
addressMode = "CL_ADDRESS_CLAMP_TO_EDGE";
else if( sampler->addressing_mode == CL_ADDRESS_REPEAT )
addressMode = "CL_ADDRESS_REPEAT";
else if( sampler->addressing_mode == CL_ADDRESS_MIRRORED_REPEAT )
addressMode = "CL_ADDRESS_MIRRORED_REPEAT";
else
addressMode = "CL_ADDRESS_NONE";
if( t )
{
if( err )
log_error( "[%-7s %-24s %d] - %s - %s - %s - %s\n", GetChannelOrderName( format->image_channel_order ),
GetChannelTypeName( format->image_channel_data_type ),
(int)get_format_channel_count( format ),
sampler->filter_mode == CL_FILTER_NEAREST ? "CL_FILTER_NEAREST" : "CL_FILTER_LINEAR",
addressMode,
normalizedNames[sampler->normalized_coords ? 1 : 0],
t == 1 ? "TRANSPOSED" : "NON-TRANSPOSED" );
else
log_info( "[%-7s %-24s %d] - %s - %s - %s - %s\n", GetChannelOrderName( format->image_channel_order ),
GetChannelTypeName( format->image_channel_data_type ),
(int)get_format_channel_count( format ),
sampler->filter_mode == CL_FILTER_NEAREST ? "CL_FILTER_NEAREST" : "CL_FILTER_LINEAR",
addressMode,
normalizedNames[sampler->normalized_coords ? 1 : 0],
t == 1 ? "TRANSPOSED" : "NON-TRANSPOSED" );
}
else
{
if( err )
log_error( "[%-7s %-24s %d] - %s - %s - %s\n", GetChannelOrderName( format->image_channel_order ),
GetChannelTypeName( format->image_channel_data_type ),
(int)get_format_channel_count( format ),
sampler->filter_mode == CL_FILTER_NEAREST ? "CL_FILTER_NEAREST" : "CL_FILTER_LINEAR",
addressMode,
normalizedNames[sampler->normalized_coords ? 1 : 0] );
else
log_info( "[%-7s %-24s %d] - %s - %s - %s\n", GetChannelOrderName( format->image_channel_order ),
GetChannelTypeName( format->image_channel_data_type ),
(int)get_format_channel_count( format ),
sampler->filter_mode == CL_FILTER_NEAREST ? "CL_FILTER_NEAREST" : "CL_FILTER_LINEAR",
addressMode,
normalizedNames[sampler->normalized_coords ? 1 : 0] );
}
}
void print_write_header( cl_image_format *format, bool err = false)
{
if( err )
log_error( "[%-7s %-24s %d]\n", GetChannelOrderName( format->image_channel_order ),
GetChannelTypeName( format->image_channel_data_type ),
(int)get_format_channel_count( format ) );
else
log_info( "[%-7s %-24s %d]\n", GetChannelOrderName( format->image_channel_order ),
GetChannelTypeName( format->image_channel_data_type ),
(int)get_format_channel_count( format ) );
}
void print_header( cl_image_format *format, bool err = false )
{
if (err) {
log_error( "[%-7s %-24s %d]\n", GetChannelOrderName( format->image_channel_order ),
GetChannelTypeName( format->image_channel_data_type ),
(int)get_format_channel_count( format ) );
} else {
log_info( "[%-7s %-24s %d]\n", GetChannelOrderName( format->image_channel_order ),
GetChannelTypeName( format->image_channel_data_type ),
(int)get_format_channel_count( format ) );
}
}
bool find_format( cl_image_format *formatList, unsigned int numFormats, cl_image_format *formatToFind )
{
for( unsigned int i = 0; i < numFormats; i++ )
{
if( formatList[ i ].image_channel_order == formatToFind->image_channel_order &&
formatList[ i ].image_channel_data_type == formatToFind->image_channel_data_type )
return true;
}
return false;
}
void build_required_image_formats(cl_mem_flags flags,
cl_mem_object_type image_type,
cl_device_id device,
std::vector<cl_image_format>& formatsToSupport)
{
Version version = get_device_cl_version(device);
formatsToSupport.clear();
// Required embedded formats.
static std::vector<cl_image_format> embeddedProfReadOrWriteFormats
{
{ CL_RGBA, CL_UNORM_INT8 },
{ CL_RGBA, CL_UNORM_INT16 },
{ CL_RGBA, CL_SIGNED_INT8 },
{ CL_RGBA, CL_SIGNED_INT16 },
{ CL_RGBA, CL_SIGNED_INT32 },
{ CL_RGBA, CL_UNSIGNED_INT8 },
{ CL_RGBA, CL_UNSIGNED_INT16 },
{ CL_RGBA, CL_UNSIGNED_INT32 },
{ CL_RGBA, CL_HALF_FLOAT },
{ CL_RGBA, CL_FLOAT },
};
/*
Required full profile formats.
This array does not contain any full profile
formats that have restrictions on when they
are required.
*/
static std::vector<cl_image_format> fullProfReadOrWriteFormats
{
{ CL_RGBA, CL_UNORM_INT8 },
{ CL_RGBA, CL_UNORM_INT16 },
{ CL_RGBA, CL_SIGNED_INT8 },
{ CL_RGBA, CL_SIGNED_INT16 },
{ CL_RGBA, CL_SIGNED_INT32 },
{ CL_RGBA, CL_UNSIGNED_INT8 },
{ CL_RGBA, CL_UNSIGNED_INT16 },
{ CL_RGBA, CL_UNSIGNED_INT32 },
{ CL_RGBA, CL_HALF_FLOAT },
{ CL_RGBA, CL_FLOAT },
{ CL_BGRA, CL_UNORM_INT8 },
};
/*
Required full profile formats specifically for 2.x.
This array does not contain any full profile
formats that have restrictions on when they
are required.
*/
static std::vector<cl_image_format> fullProf2XReadOrWriteFormats
{
{ CL_R, CL_UNORM_INT8 },
{ CL_R, CL_UNORM_INT16 },
{ CL_R, CL_SNORM_INT8 },
{ CL_R, CL_SNORM_INT16 },
{ CL_R, CL_SIGNED_INT8 },
{ CL_R, CL_SIGNED_INT16 },
{ CL_R, CL_SIGNED_INT32 },
{ CL_R, CL_UNSIGNED_INT8 },
{ CL_R, CL_UNSIGNED_INT16 },
{ CL_R, CL_UNSIGNED_INT32 },
{ CL_R, CL_HALF_FLOAT },
{ CL_R, CL_FLOAT },
{ CL_RG, CL_UNORM_INT8 },
{ CL_RG, CL_UNORM_INT16 },
{ CL_RG, CL_SNORM_INT8 },
{ CL_RG, CL_SNORM_INT16 },
{ CL_RG, CL_SIGNED_INT8 },
{ CL_RG, CL_SIGNED_INT16 },
{ CL_RG, CL_SIGNED_INT32 },
{ CL_RG, CL_UNSIGNED_INT8 },
{ CL_RG, CL_UNSIGNED_INT16 },
{ CL_RG, CL_UNSIGNED_INT32 },
{ CL_RG, CL_HALF_FLOAT },
{ CL_RG, CL_FLOAT },
{ CL_RGBA, CL_SNORM_INT8 },
{ CL_RGBA, CL_SNORM_INT16 },
};
/*
Required full profile formats for CL_DEPTH
(specifically 2.x).
There are cases whereby the format isn't required.
*/
static std::vector<cl_image_format> fullProf2XReadOrWriteDepthFormats
{
{ CL_DEPTH, CL_UNORM_INT16 },
{ CL_DEPTH, CL_FLOAT },
};
/*
Required full profile formats for CL_sRGB
(specifically 2.x).
There are cases whereby the format isn't required.
*/
static std::vector<cl_image_format> fullProf2XSRGBFormats
{
{ CL_sRGBA, CL_UNORM_INT8 },
};
// Embedded profile
if (gIsEmbedded)
{
copy(embeddedProfReadOrWriteFormats.begin(),
embeddedProfReadOrWriteFormats.end(),
back_inserter(formatsToSupport));
}
// Full profile
else
{
copy(fullProfReadOrWriteFormats.begin(),
fullProfReadOrWriteFormats.end(),
back_inserter(formatsToSupport));
}
// Full profile, OpenCL 2.0, 2.1, 2.2
if (!gIsEmbedded && version >= Version(2, 0) && version <= Version(2, 2))
{
copy(fullProf2XReadOrWriteFormats.begin(),
fullProf2XReadOrWriteFormats.end(),
back_inserter(formatsToSupport));
// Depth images are only required for 2DArray and 2D images
if (image_type == CL_MEM_OBJECT_IMAGE2D_ARRAY || image_type == CL_MEM_OBJECT_IMAGE2D)
{
copy(fullProf2XReadOrWriteDepthFormats.begin(),
fullProf2XReadOrWriteDepthFormats.end(),
back_inserter(formatsToSupport));
}
// sRGB is not required for 1DImage Buffers
if (image_type != CL_MEM_OBJECT_IMAGE1D_BUFFER)
{
// sRGB is only required for reading
if (flags == CL_MEM_READ_ONLY)
{
copy(fullProf2XSRGBFormats.begin(),
fullProf2XSRGBFormats.end(),
back_inserter(formatsToSupport));
}
}
}
}
bool is_image_format_required(cl_image_format format,
cl_mem_flags flags,
cl_mem_object_type image_type,
cl_device_id device)
{
std::vector<cl_image_format> formatsToSupport;
build_required_image_formats(flags, image_type, device, formatsToSupport);
for (auto &formatItr: formatsToSupport)
{
if (formatItr.image_channel_order == format.image_channel_order &&
formatItr.image_channel_data_type == format.image_channel_data_type)
{
return true;
}
}
return false;
}
cl_uint compute_max_mip_levels( size_t width, size_t height, size_t depth)
{
cl_uint retMaxMipLevels=0, max_dim = 0;
max_dim = width;
max_dim = height > max_dim ? height : max_dim;
max_dim = depth > max_dim ? depth : max_dim;
while(max_dim) {
retMaxMipLevels++;
max_dim >>= 1;
}
return retMaxMipLevels;
}
cl_ulong compute_mipmapped_image_size( image_descriptor imageInfo)
{
cl_ulong retSize = 0;
size_t curr_width, curr_height, curr_depth, curr_array_size;
curr_width = imageInfo.width;
curr_height = imageInfo.height;
curr_depth = imageInfo.depth;
curr_array_size = imageInfo.arraySize;
for (int i=0; i < (int) imageInfo.num_mip_levels; i++)
{
switch ( imageInfo.type )
{
case CL_MEM_OBJECT_IMAGE3D :
retSize += (cl_ulong)curr_width * curr_height * curr_depth * get_pixel_size(imageInfo.format);
break;
case CL_MEM_OBJECT_IMAGE2D :
retSize += (cl_ulong)curr_width * curr_height * get_pixel_size(imageInfo.format);
break;
case CL_MEM_OBJECT_IMAGE1D :
retSize += (cl_ulong)curr_width * get_pixel_size(imageInfo.format);
break;
case CL_MEM_OBJECT_IMAGE1D_ARRAY :
retSize += (cl_ulong)curr_width * curr_array_size * get_pixel_size(imageInfo.format);
break;
case CL_MEM_OBJECT_IMAGE2D_ARRAY :
retSize += (cl_ulong)curr_width * curr_height * curr_array_size * get_pixel_size(imageInfo.format);
break;
}
switch ( imageInfo.type )
{
case CL_MEM_OBJECT_IMAGE3D :
curr_depth = curr_depth >> 1 ? curr_depth >> 1: 1;
case CL_MEM_OBJECT_IMAGE2D :
case CL_MEM_OBJECT_IMAGE2D_ARRAY :
curr_height = curr_height >> 1? curr_height >> 1 : 1;
case CL_MEM_OBJECT_IMAGE1D :
case CL_MEM_OBJECT_IMAGE1D_ARRAY :
curr_width = curr_width >> 1? curr_width >> 1 : 1;
}
}
return retSize;
}
size_t compute_mip_level_offset( image_descriptor * imageInfo , size_t lod)
{
size_t retOffset = 0;
size_t width, height, depth;
width = imageInfo->width;
height = imageInfo->height;
depth = imageInfo->depth;
for(size_t i=0; i < lod; i++)
{
switch(imageInfo->type)
{
case CL_MEM_OBJECT_IMAGE2D_ARRAY:
retOffset += (size_t) width * height * imageInfo->arraySize * get_pixel_size( imageInfo->format );
break;
case CL_MEM_OBJECT_IMAGE3D:
retOffset += (size_t) width * height * depth * get_pixel_size( imageInfo->format );
break;
case CL_MEM_OBJECT_IMAGE1D_ARRAY:
retOffset += (size_t) width * imageInfo->arraySize * get_pixel_size( imageInfo->format );
break;
case CL_MEM_OBJECT_IMAGE2D:
retOffset += (size_t) width * height * get_pixel_size( imageInfo->format );
break;
case CL_MEM_OBJECT_IMAGE1D:
retOffset += (size_t) width * get_pixel_size( imageInfo->format );
break;
}
// Compute next lod dimensions
switch(imageInfo->type)
{
case CL_MEM_OBJECT_IMAGE3D:
depth = ( depth >> 1 ) ? ( depth >> 1 ) : 1;
case CL_MEM_OBJECT_IMAGE2D:
case CL_MEM_OBJECT_IMAGE2D_ARRAY:
height = ( height >> 1 ) ? ( height >> 1 ) : 1;
case CL_MEM_OBJECT_IMAGE1D_ARRAY:
case CL_MEM_OBJECT_IMAGE1D:
width = ( width >> 1 ) ? ( width >> 1 ) : 1;
}
}
return retOffset;
}