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chromium / external / github.com / KhronosGroup / OpenCL-CTS / 0e67969989b76c2f8ccec71745cce2df58d66cf4 / . / 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;
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;
}
uint32_t get_format_type_size(const cl_image_format *format)
{
return get_channel_data_type_size(format->image_channel_data_type);
}
uint32_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;
}
}
uint32_t get_format_channel_count(const cl_image_format *format)
{
return get_channel_order_channel_count(format->image_channel_order);
}
uint32_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;
}
}
uint32_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;
}
}
uint32_t next_power_of_two(uint32_t v)
{
v--;
v |= v >> 1;
v |= v >> 2;
v |= v >> 4;
v |= v >> 8;
v |= v >> 16;
v++;
return v;
}
uint32_t get_pixel_alignment(cl_image_format *format)
{
return next_power_of_two(get_pixel_size(format));
}
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.
// Note halfway values flip flop here due to rte, but they both end up
// pointing the same place at the end of the day.
float s_prime = 2.0f * rintf(fValue * 0.5f);
// 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:
// 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)
maxError = 2 * FLT_EPSILON * sampleCount;
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)
// Some GPUs ain't so accurate
maxError += MAKE_HEX_FLOAT(0x1.0p-4f, 0x1L, -4);
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
// normalized coordinates will introduce some error into the
// fractional part of the address, affecting results
maxError += 4.0f * FLT_EPSILON;
}
#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;
}
}
cl_half convert_float_to_half(float f)
{
switch (gFloatToHalfRoundingMode)
{
case kRoundToNearestEven: return cl_half_from_float(f, CL_HALF_RTE);
case kRoundTowardZero: return cl_half_from_float(f, CL_HALF_RTZ);
default:
log_error("ERROR: Test internal error -- unhandled or unknown "
"float->half rounding mode.\n");
exit(-1);
return 0xffff;
}
}
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_alignment(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_half *dPtr = (cl_half *)ptr;
for (i = 0; i < channelCount; i++)
tempData[i] = cl_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_half *ptr = (cl_half *)outData;
switch (gFloatToHalfRoundingMode)
{
case kRoundToNearestEven:
for (unsigned int i = 0; i < channelCount; i++)
ptr[i] = cl_half_from_float(srcVector[i], CL_HALF_RTE);
break;
case kRoundTowardZero:
for (unsigned int i = 0; i < channelCount; i++)
ptr[i] = cl_half_from_float(srcVector[i], CL_HALF_RTZ);
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_half *ptr = (const cl_half *)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_half 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_half rte_ref[count * 4];
cl_half rtz_ref[count * 4];
for (size_t i = 0; i < 4 * count; i++)
{
rte_ref[i] = cl_half_from_float(inp[i], CL_HALF_RTE);
rtz_ref[i] = cl_half_from_float(inp[i], CL_HALF_RTZ);
}
// 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_alignment(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)
{
formatsToSupport.clear();
// Minimum list of supported image formats for reading or writing (embedded
// profile)
static std::vector<cl_image_format> embeddedProfile_readOrWrite{
// clang-format off
{ 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 },
// clang-format on
};
// Minimum list of required image formats for reading or writing
// num_channels, for all image types.
static std::vector<cl_image_format> fullProfile_readOrWrite{
// clang-format off
{ 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 },
// clang-format on
};
// Minimum list of supported image formats for reading or writing
// (OpenCL 2.0, 2.1, or 2.2), for all image types.
static std::vector<cl_image_format> fullProfile_2x_readOrWrite{
// clang-format off
{ 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_UNORM_INT8 },
{ CL_RGBA, CL_UNORM_INT16 },
{ CL_RGBA, CL_SNORM_INT8 },
{ CL_RGBA, CL_SNORM_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 },
// clang-format on
};
// Conditional addition to the 2x readOrWrite table:
// Support for the CL_DEPTH image channel order is required only for 2D
// images and 2D image arrays.
static std::vector<cl_image_format> fullProfile_2x_readOrWrite_Depth{
// clang-format off
{ CL_DEPTH, CL_UNORM_INT16 },
{ CL_DEPTH, CL_FLOAT },
// clang-format on
};
// Conditional addition to the 2x readOrWrite table:
// Support for reading from the CL_sRGBA image channel order is optional for
// 1D image buffers. Support for writing to the CL_sRGBA image channel order
// is optional for all image types.
static std::vector<cl_image_format> fullProfile_2x_readOrWrite_srgb{
{ CL_sRGBA, CL_UNORM_INT8 },
};
// Minimum list of required image formats for reading and writing.
static std::vector<cl_image_format> fullProfile_readAndWrite{
// clang-format off
{ CL_R, CL_UNORM_INT8 },
{ 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_RGBA, CL_UNORM_INT8 },
{ 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 },
// clang-format on
};
// Embedded profile
if (gIsEmbedded)
{
copy(embeddedProfile_readOrWrite.begin(),
embeddedProfile_readOrWrite.end(),
back_inserter(formatsToSupport));
}
// Full profile
else
{
Version version = get_device_cl_version(device);
if (version < Version(2, 0) || version >= Version(3, 0))
{
// Full profile, OpenCL 1.2 or 3.0.
if (flags & CL_MEM_KERNEL_READ_AND_WRITE)
{
// Note: assumes that read-write images are supported!
copy(fullProfile_readAndWrite.begin(),
fullProfile_readAndWrite.end(),
back_inserter(formatsToSupport));
}
else
{
copy(fullProfile_readOrWrite.begin(),
fullProfile_readOrWrite.end(),
back_inserter(formatsToSupport));
}
}
else
{
// Full profile, OpenCL 2.0, 2.1, 2.2.
if (flags & CL_MEM_KERNEL_READ_AND_WRITE)
{
copy(fullProfile_readAndWrite.begin(),
fullProfile_readAndWrite.end(),
back_inserter(formatsToSupport));
}
else
{
copy(fullProfile_2x_readOrWrite.begin(),
fullProfile_2x_readOrWrite.end(),
back_inserter(formatsToSupport));
// Support for the CL_DEPTH image channel order is required only
// for 2D images and 2D image arrays.
if (image_type == CL_MEM_OBJECT_IMAGE2D
|| image_type == CL_MEM_OBJECT_IMAGE2D_ARRAY)
{
copy(fullProfile_2x_readOrWrite_Depth.begin(),
fullProfile_2x_readOrWrite_Depth.end(),
back_inserter(formatsToSupport));
}
// Support for reading from the CL_sRGBA image channel order is
// optional for 1D image buffers. Support for writing to the
// CL_sRGBA image channel order is optional for all image types.
if (image_type != CL_MEM_OBJECT_IMAGE1D_BUFFER
&& flags == CL_MEM_READ_ONLY)
{
copy(fullProfile_2x_readOrWrite_srgb.begin(),
fullProfile_2x_readOrWrite_srgb.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;
}
const char *convert_image_type_to_string(cl_mem_object_type image_type)
{
switch (image_type)
{
case CL_MEM_OBJECT_IMAGE1D: return "1D";
case CL_MEM_OBJECT_IMAGE2D: return "2D";
case CL_MEM_OBJECT_IMAGE3D: return "3D";
case CL_MEM_OBJECT_IMAGE1D_ARRAY: return "1D array";
case CL_MEM_OBJECT_IMAGE2D_ARRAY: return "2D array";
case CL_MEM_OBJECT_IMAGE1D_BUFFER: return "1D image buffer";
default: return "unrecognized object type";
}
}