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Revert "Image streams optimization (#1616)" (#1638)

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This reverts commit b73c3149ad.
This commit is contained in:
Ben Ashbaugh
2023-02-28 09:06:34 -08:00
committed by GitHub
parent df3c4fae95
commit e71a7bce68
2 changed files with 58 additions and 2424 deletions
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2367
test_common/harness/imageHelpers.cpp
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115
test_conformance/images/kernel_read_write/test_common.cpp
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@@ -536,20 +536,16 @@ int test_read_image(cl_context context, cl_command_queue queue,
}
int nextLevelOffset = 0;
// Precalculate LOD dimensions for sample_image_pixel_offset()
size_t width_lod = width_size, height_lod = height_size,
depth_lod = depth_size;
image_descriptor lodInfo = *imageInfo;
lodInfo.num_mip_levels = 1;
// Loop over all mipmap levels, if we are testing mipmapped images.
for (int lod = 0; (gTestMipmaps && lod < imageInfo->num_mip_levels)
|| (!gTestMipmaps && lod < 1);
lod++)
{
size_t image_lod_size =
get_image_num_pixels(&lodInfo, lodInfo.width, lodInfo.height,
lodInfo.depth, lodInfo.arraySize);
size_t image_lod_size = get_image_num_pixels(
imageInfo, width_lod, height_lod, depth_lod, imageInfo->arraySize);
test_assert_error(0 != image_lod_size, "Invalid image size");
size_t resultValuesSize =
image_lod_size * get_explicit_type_size(outputType) * 4;
@@ -569,11 +565,11 @@ int test_read_image(cl_context context, cl_command_queue queue,
// Init the coordinates
error = InitFloatCoordsCommon(
&lodInfo, imageSampler, xOffsetValues, yOffsetValues,
imageInfo, imageSampler, xOffsetValues, yOffsetValues,
zOffsetValues, q >= float_offset_count ? -offset : offset,
q >= float_offset_count ? offset : -offset,
q >= float_offset_count ? -offset : offset,
imageSampler->normalized_coords, d, 0);
imageSampler->normalized_coords, d, lod);
test_error(error, "Unable to initialise coordinates");
error = clEnqueueWriteBuffer(queue, xOffsets, CL_TRUE, 0,
@@ -605,9 +601,10 @@ int test_read_image(cl_context context, cl_command_queue queue,
test_error(error, "Unable to run kernel");
// Get results
error = clEnqueueReadBuffer(queue, results, CL_TRUE, 0,
resultValuesSize, resultValues, 0, NULL,
NULL);
error = clEnqueueReadBuffer(
queue, results, CL_TRUE, 0,
image_lod_size * get_explicit_type_size(outputType) * 4,
resultValues, 0, NULL, NULL);
test_error(error, "Unable to read results from kernel");
if (gDebugTrace) log_info(" results read\n");
@@ -671,13 +668,13 @@ int test_read_image(cl_context context, cl_command_queue queue,
int hasDenormals = 0;
FloatPixel maxPixel =
sample_image_pixel_float_offset(
imagePtr, &lodInfo,
imagePtr, imageInfo,
xOffsetValues[j],
yOffsetValues[j],
zOffsetValues[j], norm_offset_x,
norm_offset_y, norm_offset_z,
imageSampler, expected, 0,
&hasDenormals, 0);
&hasDenormals, lod);
float err1 =
ABS_ERROR(sRGBmap(resultPtr[0]),
@@ -729,7 +726,7 @@ int test_read_image(cl_context context, cl_command_queue queue,
maxPixel =
sample_image_pixel_float_offset(
imagePtr, &lodInfo,
imagePtr, imageInfo,
xOffsetValues[j],
yOffsetValues[j],
zOffsetValues[j],
@@ -737,7 +734,7 @@ int test_read_image(cl_context context, cl_command_queue queue,
norm_offset_y,
norm_offset_z,
imageSampler, expected,
0, NULL, 0);
0, NULL, lod);
err1 = ABS_ERROR(
sRGBmap(resultPtr[0]),
@@ -791,7 +788,7 @@ int test_read_image(cl_context context, cl_command_queue queue,
int hasDenormals = 0;
FloatPixel maxPixel =
sample_image_pixel_float_offset(
imagePtr, &lodInfo,
imagePtr, imageInfo,
xOffsetValues[j],
yOffsetValues[j],
zOffsetValues[j],
@@ -799,7 +796,7 @@ int test_read_image(cl_context context, cl_command_queue queue,
norm_offset_y,
norm_offset_z, imageSampler,
expected, 0, &hasDenormals,
0);
lod);
float err1 =
ABS_ERROR(sRGBmap(resultPtr[0]),
@@ -830,13 +827,13 @@ int test_read_image(cl_context context, cl_command_queue queue,
maxPixel =
sample_image_pixel_float(
imagePtr, &lodInfo,
imagePtr, imageInfo,
xOffsetValues[j],
yOffsetValues[j],
zOffsetValues[j],
imageSampler,
expected, 0, NULL,
0);
lod);
err1 = ABS_ERROR(
sRGBmap(resultPtr[0]),
@@ -869,7 +866,7 @@ int test_read_image(cl_context context, cl_command_queue queue,
shouldReturn |=
determine_validation_error_offset<
float>(
imagePtr, &lodInfo,
imagePtr, imageInfo,
imageSampler, resultPtr,
expected, error,
xOffsetValues[j],
@@ -879,11 +876,11 @@ int test_read_image(cl_context context, cl_command_queue queue,
norm_offset_y,
norm_offset_z, j,
numTries, numClamped,
true, 0);
true, lod);
log_error("Step by step:\n");
FloatPixel temp =
sample_image_pixel_float_offset(
imagePtr, &lodInfo,
imagePtr, imageInfo,
xOffsetValues[j],
yOffsetValues[j],
zOffsetValues[j],
@@ -892,7 +889,7 @@ int test_read_image(cl_context context, cl_command_queue queue,
norm_offset_z,
imageSampler, tempOut,
1 /*verbose*/,
&hasDenormals, 0);
&hasDenormals, lod);
log_error(
"\tulps: %2.2f, %2.2f, "
"%2.2f, %2.2f (max "
@@ -989,13 +986,13 @@ int test_read_image(cl_context context, cl_command_queue queue,
int hasDenormals = 0;
FloatPixel maxPixel =
sample_image_pixel_float_offset(
imagePtr, &lodInfo,
imagePtr, imageInfo,
xOffsetValues[j],
yOffsetValues[j],
zOffsetValues[j], norm_offset_x,
norm_offset_y, norm_offset_z,
imageSampler, expected, 0,
&hasDenormals, 0);
&hasDenormals, lod);
float err1 = ABS_ERROR(resultPtr[0],
expected[0]);
@@ -1054,7 +1051,7 @@ int test_read_image(cl_context context, cl_command_queue queue,
maxPixel =
sample_image_pixel_float_offset(
imagePtr, &lodInfo,
imagePtr, imageInfo,
xOffsetValues[j],
yOffsetValues[j],
zOffsetValues[j],
@@ -1062,7 +1059,7 @@ int test_read_image(cl_context context, cl_command_queue queue,
norm_offset_y,
norm_offset_z,
imageSampler, expected,
0, NULL, 0);
0, NULL, lod);
err1 = ABS_ERROR(resultPtr[0],
expected[0]);
@@ -1113,7 +1110,7 @@ int test_read_image(cl_context context, cl_command_queue queue,
int hasDenormals = 0;
FloatPixel maxPixel =
sample_image_pixel_float_offset(
imagePtr, &lodInfo,
imagePtr, imageInfo,
xOffsetValues[j],
yOffsetValues[j],
zOffsetValues[j],
@@ -1121,7 +1118,7 @@ int test_read_image(cl_context context, cl_command_queue queue,
norm_offset_y,
norm_offset_z, imageSampler,
expected, 0, &hasDenormals,
0);
lod);
float err1 = ABS_ERROR(resultPtr[0],
expected[0]);
@@ -1160,13 +1157,13 @@ int test_read_image(cl_context context, cl_command_queue queue,
maxPixel =
sample_image_pixel_float(
imagePtr, &lodInfo,
imagePtr, imageInfo,
xOffsetValues[j],
yOffsetValues[j],
zOffsetValues[j],
imageSampler,
expected, 0, NULL,
0);
lod);
err1 =
ABS_ERROR(resultPtr[0],
@@ -1199,7 +1196,7 @@ int test_read_image(cl_context context, cl_command_queue queue,
shouldReturn |=
determine_validation_error_offset<
float>(
imagePtr, &lodInfo,
imagePtr, imageInfo,
imageSampler, resultPtr,
expected, error,
xOffsetValues[j],
@@ -1209,11 +1206,11 @@ int test_read_image(cl_context context, cl_command_queue queue,
norm_offset_y,
norm_offset_z, j,
numTries, numClamped,
true, 0);
true, lod);
log_error("Step by step:\n");
FloatPixel temp =
sample_image_pixel_float_offset(
imagePtr, &lodInfo,
imagePtr, imageInfo,
xOffsetValues[j],
yOffsetValues[j],
zOffsetValues[j],
@@ -1222,7 +1219,7 @@ int test_read_image(cl_context context, cl_command_queue queue,
norm_offset_z,
imageSampler, tempOut,
1 /*verbose*/,
&hasDenormals, 0);
&hasDenormals, lod);
log_error(
"\tulps: %2.2f, %2.2f, "
"%2.2f, %2.2f (max "
@@ -1317,11 +1314,11 @@ int test_read_image(cl_context context, cl_command_queue queue,
}
sample_image_pixel_offset<unsigned int>(
imagePtr, &lodInfo,
imagePtr, imageInfo,
xOffsetValues[j], yOffsetValues[j],
zOffsetValues[j], norm_offset_x,
norm_offset_y, norm_offset_z,
imageSampler, expected, 0);
imageSampler, expected, lod);
error = errMax(
errMax(abs_diff_uint(expected[0],
@@ -1383,12 +1380,12 @@ int test_read_image(cl_context context, cl_command_queue queue,
sample_image_pixel_offset<
unsigned int>(
imagePtr, &lodInfo,
imagePtr, imageInfo,
xOffsetValues[j],
yOffsetValues[j],
zOffsetValues[j], norm_offset_x,
norm_offset_y, norm_offset_z,
imageSampler, expected, 0);
imageSampler, expected, lod);
error = errMax(
errMax(
@@ -1415,7 +1412,7 @@ int test_read_image(cl_context context, cl_command_queue queue,
shouldReturn |=
determine_validation_error_offset<
unsigned int>(
imagePtr, &lodInfo,
imagePtr, imageInfo,
imageSampler, resultPtr,
expected, error,
xOffsetValues[j],
@@ -1425,7 +1422,7 @@ int test_read_image(cl_context context, cl_command_queue queue,
norm_offset_y,
norm_offset_z, j,
numTries, numClamped,
false, 0);
false, lod);
}
else
{
@@ -1500,11 +1497,11 @@ int test_read_image(cl_context context, cl_command_queue queue,
}
sample_image_pixel_offset<int>(
imagePtr, &lodInfo,
imagePtr, imageInfo,
xOffsetValues[j], yOffsetValues[j],
zOffsetValues[j], norm_offset_x,
norm_offset_y, norm_offset_z,
imageSampler, expected, 0);
imageSampler, expected, lod);
error = errMax(
errMax(abs_diff_int(expected[0],
@@ -1566,12 +1563,12 @@ int test_read_image(cl_context context, cl_command_queue queue,
}
sample_image_pixel_offset<int>(
imagePtr, &lodInfo,
imagePtr, imageInfo,
xOffsetValues[j],
yOffsetValues[j],
zOffsetValues[j], norm_offset_x,
norm_offset_y, norm_offset_z,
imageSampler, expected, 0);
imageSampler, expected, lod);
error = errMax(
errMax(
@@ -1597,7 +1594,7 @@ int test_read_image(cl_context context, cl_command_queue queue,
shouldReturn |=
determine_validation_error_offset<
int>(
imagePtr, &lodInfo,
imagePtr, imageInfo,
imageSampler, resultPtr,
expected, error,
xOffsetValues[j],
@@ -1607,7 +1604,7 @@ int test_read_image(cl_context context, cl_command_queue queue,
norm_offset_y,
norm_offset_z, j,
numTries, numClamped,
false, 0);
false, lod);
}
else
{
@@ -1629,23 +1626,17 @@ int test_read_image(cl_context context, cl_command_queue queue,
}
}
{
nextLevelOffset +=
image_lod_size * get_pixel_size(imageInfo->format);
width_lod = lodInfo.width =
(lodInfo.width >> 1) ? (lodInfo.width >> 1) : 1;
nextLevelOffset += width_lod * height_lod * depth_lod
* get_pixel_size(imageInfo->format);
width_lod = (width_lod >> 1) ? (width_lod >> 1) : 1;
if (imageInfo->type != CL_MEM_OBJECT_IMAGE1D_ARRAY)
height_lod = lodInfo.height =
(lodInfo.height >> 1) ? (lodInfo.height >> 1) : 1;
{
height_lod = (height_lod >> 1) ? (height_lod >> 1) : 1;
}
if (imageInfo->type != CL_MEM_OBJECT_IMAGE2D_ARRAY)
depth_lod = lodInfo.depth =
(lodInfo.depth >> 1) ? (lodInfo.depth >> 1) : 1;
lodInfo.rowPitch =
lodInfo.width * get_pixel_size(imageInfo->format);
if (imageInfo->type == CL_MEM_OBJECT_IMAGE1D_ARRAY)
lodInfo.slicePitch = lodInfo.rowPitch;
else if (imageInfo->type == CL_MEM_OBJECT_IMAGE3D
|| imageInfo->type == CL_MEM_OBJECT_IMAGE2D_ARRAY)
lodInfo.slicePitch = lodInfo.rowPitch * lodInfo.height;
{
depth_lod = (depth_lod >> 1) ? (depth_lod >> 1) : 1;
}
}
}