external/vulkancts/modules/vulkan/sparse_resources/vktSparseResourcesImageBlockShapes.cpp - third_party/vulkan-cts - Git at Google

 /*------------------------------------------------------------------------
  * Vulkan Conformance Tests
  * ------------------------
  *
  * Copyright (c) 2017 The Khronos Group Inc.
  * Copyright (c) 2017 Google 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.
  *
  *//*!
  * \file  vktSparseResourcesImageBlockShapes.cpp
  * \brief Standard block shape tests.
  *//*--------------------------------------------------------------------*/

 #include "vktSparseResourcesBufferSparseBinding.hpp"
 #include "vktSparseResourcesTestsUtil.hpp"
 #include "vktSparseResourcesBase.hpp"
 #include "vktTestCaseUtil.hpp"

 #include "vkDefs.hpp"
 #include "vkRef.hpp"
 #include "vkRefUtil.hpp"
 #include "vkPlatform.hpp"
 #include "vkPrograms.hpp"
 #include "vkMemUtil.hpp"
 #include "vkBuilderUtil.hpp"
 #include "vkImageUtil.hpp"
 #include "vkQueryUtil.hpp"
 #include "vkTypeUtil.hpp"

 #include "deUniquePtr.hpp"
 #include "deStringUtil.hpp"

 #include <string>
 #include <vector>

 using namespace vk;

 namespace vkt
 {
 namespace sparse
 {
 namespace
 {

 class ImageBlockShapesCase : public TestCase
 {
 public:
 	ImageBlockShapesCase			(tcu::TestContext&	testCtx,
 									 const std::string&	name,
 									 const std::string&	description,
 									 const ImageType	imageType,
 									 const tcu::UVec3&	imageSize,
 									 const VkFormat		format,
 									 deUint32			numSamples);

 	void			initPrograms			(SourceCollections&			sourceCollections) const {DE_UNREF(sourceCollections);}
 	TestInstance*	createInstance			(Context&					context) const;
 	virtual void	checkSupport			(Context&					context) const;

 private:
 	const ImageType		m_imageType;
 	const tcu::UVec3	m_imageSize;
 	const VkFormat		m_format;
 	const deUint32		m_numSamples;
 };

 ImageBlockShapesCase::ImageBlockShapesCase (tcu::TestContext&	testCtx,
 											const std::string&	name,
 											const std::string&	description,
 											const ImageType		imageType,
 											const tcu::UVec3&	imageSize,
 											const VkFormat		format,
 											deUint32			numSamples)
 	: TestCase		(testCtx, name, description)
 	, m_imageType	(imageType)
 	, m_imageSize	(imageSize)
 	, m_format		(format)
 	, m_numSamples	(numSamples)
 {
 }

 void ImageBlockShapesCase::checkSupport (Context& context) const
 {
 	const InstanceInterface&	instance		= context.getInstanceInterface();
 	const VkPhysicalDevice		physicalDevice	= context.getPhysicalDevice();

 	// Check the image size does not exceed device limits
 	if (!isImageSizeSupported(instance, physicalDevice, m_imageType, m_imageSize))
 		TCU_THROW(NotSupportedError, "Image size not supported for device");

 	// Check if device supports sparse operations for image type
 	if (!checkSparseSupportForImageType(instance, physicalDevice, m_imageType))
 		TCU_THROW(NotSupportedError, "Sparse residency for image type is not supported");

 	if (formatIsR64(m_format))
 	{
 		context.requireDeviceFunctionality("VK_EXT_shader_image_atomic_int64");

 		if (context.getShaderImageAtomicInt64FeaturesEXT().sparseImageInt64Atomics == VK_FALSE)
 		{
 			TCU_THROW(NotSupportedError, "sparseImageInt64Atomics is not supported for device");
 		}
 	}
 }

 class ImageBlockShapesInstance : public SparseResourcesBaseInstance
 {
 public:
 	ImageBlockShapesInstance	(Context&			context,
 								 const ImageType	imageType,
 								 const tcu::UVec3&	imageSize,
 								 const VkFormat		format,
 								 deUint32			numSamples);

 	tcu::TestStatus	iterate		(void);

 private:
 	const ImageType		m_imageType;
 	const tcu::UVec3	m_imageSize;
 	const VkFormat		m_format;
 	const deUint32		m_numSamples;
 };

 ImageBlockShapesInstance::ImageBlockShapesInstance (Context&			context,
 													const ImageType		imageType,
 													const tcu::UVec3&	imageSize,
 													const VkFormat		format,
 													deUint32			numSamples)
 	: SparseResourcesBaseInstance	(context)
 	, m_imageType					(imageType)
 	, m_imageSize					(imageSize)
 	, m_format						(format)
 	, m_numSamples					(numSamples)
 {
 }

 tcu::TestStatus ImageBlockShapesInstance::iterate (void)
 {
 	const InstanceInterface&						instance					= m_context.getInstanceInterface();
 	const VkPhysicalDevice							physicalDevice				= m_context.getPhysicalDevice();
 	const VkPhysicalDeviceProperties				physicalDeviceProperties	= getPhysicalDeviceProperties(instance, physicalDevice);
 	VkImageCreateInfo								imageCreateInfo;
 	std::vector<VkSparseImageMemoryRequirements>	sparseMemoryRequirements;
 	const VkPhysicalDeviceSparseProperties			sparseProperties			= physicalDeviceProperties.sparseProperties;
 	const PlanarFormatDescription					formatDescription			= getPlanarFormatDescription(m_format);

 	imageCreateInfo.sType					= VK_STRUCTURE_TYPE_IMAGE_CREATE_INFO;
 	imageCreateInfo.pNext					= DE_NULL;
 	imageCreateInfo.flags					= VK_IMAGE_CREATE_SPARSE_RESIDENCY_BIT | VK_IMAGE_CREATE_SPARSE_BINDING_BIT;
 	imageCreateInfo.imageType				= mapImageType(m_imageType);
 	imageCreateInfo.format					= m_format;
 	imageCreateInfo.extent					= makeExtent3D(getLayerSize(m_imageType, m_imageSize));
 	imageCreateInfo.mipLevels				= 1u;
 	imageCreateInfo.arrayLayers				= getNumLayers(m_imageType, m_imageSize);
 	imageCreateInfo.samples					= static_cast<VkSampleCountFlagBits>(m_numSamples);
 	imageCreateInfo.tiling					= VK_IMAGE_TILING_OPTIMAL;
 	imageCreateInfo.initialLayout			= VK_IMAGE_LAYOUT_UNDEFINED;
 	imageCreateInfo.usage					= VK_IMAGE_USAGE_TRANSFER_SRC_BIT |
 											  VK_IMAGE_USAGE_STORAGE_BIT;
 	imageCreateInfo.sharingMode				= VK_SHARING_MODE_EXCLUSIVE;
 	imageCreateInfo.queueFamilyIndexCount	= 0u;
 	imageCreateInfo.pQueueFamilyIndices		= DE_NULL;

 	if (m_imageType == IMAGE_TYPE_CUBE || m_imageType == IMAGE_TYPE_CUBE_ARRAY)
 	{
 		imageCreateInfo.flags |= VK_IMAGE_CREATE_CUBE_COMPATIBLE_BIT;
 	}

 	// Check the format supports given number of samples
 	VkImageFormatProperties	imageFormatProperties;

 	if (instance.getPhysicalDeviceImageFormatProperties(physicalDevice,
 		imageCreateInfo.format,
 		imageCreateInfo.imageType,
 		imageCreateInfo.tiling,
 		imageCreateInfo.usage,
 		imageCreateInfo.flags,
 		&imageFormatProperties) == VK_ERROR_FORMAT_NOT_SUPPORTED)
 	{
 		TCU_THROW(NotSupportedError, "Image format does not support sparse operations");
 	}

 	if (!(imageFormatProperties.sampleCounts & imageCreateInfo.samples))
 		TCU_THROW(NotSupportedError, "The image format does not support the number of samples specified");

 	// Check if device supports sparse operations for image format
 	if (!checkSparseSupportForImageFormat(instance, physicalDevice, imageCreateInfo))
 		TCU_THROW(NotSupportedError, "The image format does not support sparse operations");

 	{
 		QueueRequirementsVec queueRequirements;
 		queueRequirements.push_back(QueueRequirements(VK_QUEUE_SPARSE_BINDING_BIT, 1u));

 		createDeviceSupportingQueues(queueRequirements);
 	}

 	{
 		const DeviceInterface&		deviceInterface	= getDeviceInterface();

 		// Create sparse image
 		const Unique<VkImage>		imageSparse( createImage(deviceInterface, getDevice(), &imageCreateInfo) );

 		// Get sparse image sparse memory requirements
 		sparseMemoryRequirements	= getImageSparseMemoryRequirements(deviceInterface, getDevice(), *imageSparse);

 		DE_ASSERT(sparseMemoryRequirements.size() != 0);
 	}

 	for (deUint32 planeNdx = 0; planeNdx < formatDescription.numPlanes; ++planeNdx)
 	{
 		const VkImageAspectFlags		aspect				= (formatDescription.numPlanes > 1) ? getPlaneAspect(planeNdx) : VK_IMAGE_ASPECT_COLOR_BIT;
 		const deUint32					aspectIndex			= getSparseAspectRequirementsIndex(sparseMemoryRequirements, aspect);

 		if (aspectIndex == NO_MATCH_FOUND)
 			TCU_THROW(NotSupportedError, "Not supported image aspect");

 		VkSparseImageMemoryRequirements	aspectRequirements	= sparseMemoryRequirements[aspectIndex];
 		VkExtent3D						imageGranularity	= aspectRequirements.formatProperties.imageGranularity;
 		deUint32						pixelSize			= static_cast<deUint32>(formatDescription.planes[planeNdx].elementSizeBytes) * 8u;
 		VkExtent3D						expectedGranularity;

 		if (m_imageType == IMAGE_TYPE_3D)
 		{
 			if (!sparseProperties.residencyStandard3DBlockShape)
 				return tcu::TestStatus::pass("Pass (residencyStandard3DBlockShape disabled)");

 			switch (pixelSize)
 			{
 				case 8:
 					expectedGranularity.width = 64;
 					expectedGranularity.height = 32;
 					expectedGranularity.depth = 32;
 					break;
 				case 16:
 					expectedGranularity.width = 32;
 					expectedGranularity.height = 32;
 					expectedGranularity.depth = 32;
 					break;
 				case 32:
 					expectedGranularity.width = 32;
 					expectedGranularity.height = 32;
 					expectedGranularity.depth = 16;
 					break;
 				case 64:
 					expectedGranularity.width = 32;
 					expectedGranularity.height = 16;
 					expectedGranularity.depth = 16;
 					break;
 				default:
 					DE_ASSERT(pixelSize == 128);
 					expectedGranularity.width = 16;
 					expectedGranularity.height = 16;
 					expectedGranularity.depth = 16;
 					break;
 			}
 		}
 		else if (m_numSamples == 2)
 		{
 			if (!sparseProperties.residencyStandard2DMultisampleBlockShape)
 				return tcu::TestStatus::pass("Pass (residencyStandard2DMultisampleBlockShape disabled)");

 			expectedGranularity.depth = 1;

 			switch (pixelSize)
 			{
 				case 8:
 					expectedGranularity.width = 128;
 					expectedGranularity.height = 256;
 					break;
 				case 16:
 					expectedGranularity.width = 128;
 					expectedGranularity.height = 128;
 					break;
 				case 32:
 					expectedGranularity.width = 64;
 					expectedGranularity.height = 128;
 					break;
 				case 64:
 					expectedGranularity.width = 64;
 					expectedGranularity.height = 64;
 					break;
 				default:
 					DE_ASSERT(pixelSize == 128);
 					expectedGranularity.width = 32;
 					expectedGranularity.height = 64;
 					break;
 			}
 		}
 		else if (m_numSamples == 4)
 		{
 			if (!sparseProperties.residencyStandard2DMultisampleBlockShape)
 				return tcu::TestStatus::pass("Pass (residencyStandard2DMultisampleBlockShape disabled)");

 			expectedGranularity.depth = 1;

 			switch (pixelSize)
 			{
 				case 8:
 					expectedGranularity.width = 128;
 					expectedGranularity.height = 128;
 					break;
 				case 16:
 					expectedGranularity.width = 128;
 					expectedGranularity.height = 64;
 					break;
 				case 32:
 					expectedGranularity.width = 64;
 					expectedGranularity.height = 64;
 					break;
 				case 64:
 					expectedGranularity.width = 64;
 					expectedGranularity.height = 32;
 					break;
 				default:
 					DE_ASSERT(pixelSize == 128);
 					expectedGranularity.width = 32;
 					expectedGranularity.height = 32;
 					break;
 			}
 		}
 		else if (m_numSamples == 8)
 		{
 			if (!sparseProperties.residencyStandard2DMultisampleBlockShape)
 				return tcu::TestStatus::pass("Pass (residencyStandard2DMultisampleBlockShape disabled)");

 			expectedGranularity.depth = 1;

 			switch (pixelSize)
 			{
 				case 8:
 					expectedGranularity.width = 64;
 					expectedGranularity.height = 128;
 					break;
 				case 16:
 					expectedGranularity.width = 64;
 					expectedGranularity.height = 64;
 					break;
 				case 32:
 					expectedGranularity.width = 32;
 					expectedGranularity.height = 64;
 					break;
 				case 64:
 					expectedGranularity.width = 32;
 					expectedGranularity.height = 32;
 					break;
 				default:
 					DE_ASSERT(pixelSize == 128);
 					expectedGranularity.width = 16;
 					expectedGranularity.height = 32;
 					break;
 			}
 		}
 		else if (m_numSamples == 16)
 		{
 			if (!sparseProperties.residencyStandard2DMultisampleBlockShape)
 				return tcu::TestStatus::pass("Pass (residencyStandard2DMultisampleBlockShape disabled)");

 			expectedGranularity.depth = 1;

 			switch (pixelSize)
 			{
 				case 8:
 					expectedGranularity.width = 64;
 					expectedGranularity.height = 64;
 					break;
 				case 16:
 					expectedGranularity.width = 64;
 					expectedGranularity.height = 32;
 					break;
 				case 32:
 					expectedGranularity.width = 32;
 					expectedGranularity.height = 32;
 					break;
 				case 64:
 					expectedGranularity.width = 32;
 					expectedGranularity.height = 16;
 					break;
 				default:
 					DE_ASSERT(pixelSize == 128);
 					expectedGranularity.width = 16;
 					expectedGranularity.height = 16;
 					break;
 			}
 		}
 		else
 		{
 			DE_ASSERT(m_numSamples == 1);

 			if (!sparseProperties.residencyStandard2DBlockShape)
 				return tcu::TestStatus::pass("Pass (residencyStandard2DBlockShape disabled)");

 			expectedGranularity.depth = 1;

 			switch (pixelSize)
 			{
 				case 8:
 					expectedGranularity.width = 256;
 					expectedGranularity.height = 256;
 					break;
 				case 16:
 					expectedGranularity.width = 256;
 					expectedGranularity.height = 128;
 					break;
 				case 32:
 					expectedGranularity.width = 128;
 					expectedGranularity.height = 128;
 					break;
 				case 64:
 					expectedGranularity.width = 128;
 					expectedGranularity.height = 64;
 					break;
 				default:
 					DE_ASSERT(pixelSize == 128);
 					expectedGranularity.width = 64;
 					expectedGranularity.height = 64;
 					break;
 			}
 		}

 		if (   imageGranularity.width  != expectedGranularity.width
 			|| imageGranularity.height != expectedGranularity.height
 			|| imageGranularity.depth  != expectedGranularity.depth)
 		{
 			return tcu::TestStatus::fail("Non-standard block shape used");
 		}
 	}
 	return tcu::TestStatus::pass("Passed");
 }

 TestInstance* ImageBlockShapesCase::createInstance (Context& context) const
 {
 	return new ImageBlockShapesInstance(context, m_imageType, m_imageSize, m_format, m_numSamples);
 }

 } // anonymous ns

 tcu::TestCaseGroup* createImageBlockShapesTests (tcu::TestContext& testCtx)
 {
 	de::MovePtr<tcu::TestCaseGroup> testGroup(new tcu::TestCaseGroup(testCtx, "image_block_shapes", "Standard block shape"));

 	const std::vector<TestImageParameters> imageParameters
 	{
 		{ IMAGE_TYPE_2D,			{ tcu::UVec3(512u, 256u, 1u) },		getTestFormats(IMAGE_TYPE_2D) },
 		{ IMAGE_TYPE_2D_ARRAY,		{ tcu::UVec3(512u, 256u, 6u) },		getTestFormats(IMAGE_TYPE_2D_ARRAY) },
 		{ IMAGE_TYPE_CUBE,			{ tcu::UVec3(256u, 256u, 1u) },		getTestFormats(IMAGE_TYPE_CUBE) },
 		{ IMAGE_TYPE_CUBE_ARRAY,	{ tcu::UVec3(256u, 256u, 6u) },		getTestFormats(IMAGE_TYPE_CUBE_ARRAY) },
 		{ IMAGE_TYPE_3D,			{ tcu::UVec3(512u, 256u, 16u) },	getTestFormats(IMAGE_TYPE_3D) }
 	};

 	static const deUint32 sampleCounts[] = { 1u, 2u, 4u, 8u, 16u };

 	for (size_t imageTypeNdx = 0; imageTypeNdx < imageParameters.size(); ++imageTypeNdx)
 	{
 		const ImageType					imageType = imageParameters[imageTypeNdx].imageType;
 		de::MovePtr<tcu::TestCaseGroup> imageTypeGroup(new tcu::TestCaseGroup(testCtx, getImageTypeName(imageType).c_str(), ""));

 		for (size_t formatNdx = 0; formatNdx < imageParameters[imageTypeNdx].formats.size(); ++formatNdx)
 		{
 			VkFormat						format				= imageParameters[imageTypeNdx].formats[formatNdx].format;
 			tcu::UVec3						imageSizeAlignment	= getImageSizeAlignment(format);
 			de::MovePtr<tcu::TestCaseGroup> formatGroup			(new tcu::TestCaseGroup(testCtx, getImageFormatID(format).c_str(), ""));

 			for (deInt32 sampleCountNdx = 0; sampleCountNdx < DE_LENGTH_OF_ARRAY(sampleCounts); ++sampleCountNdx)
 			{
 				for (size_t imageSizeNdx = 0; imageSizeNdx < imageParameters[imageTypeNdx].imageSizes.size(); ++imageSizeNdx)
 				{
 					const tcu::UVec3	imageSize = imageParameters[imageTypeNdx].imageSizes[imageSizeNdx];

 					// skip test for images with odd sizes for some YCbCr formats
 					if ((imageSize.x() % imageSizeAlignment.x()) != 0)
 						continue;
 					if ((imageSize.y() % imageSizeAlignment.y()) != 0)
 						continue;

 					const deUint32		sampleCount = sampleCounts[sampleCountNdx];
 					const std::string	name = std::string("samples_") + de::toString(sampleCount);

 					formatGroup->addChild(new ImageBlockShapesCase(testCtx, name.c_str(), "", imageType, imageSize, format, sampleCount));
 				}
 			}
 			imageTypeGroup->addChild(formatGroup.release());
 		}
 		testGroup->addChild(imageTypeGroup.release());
 	}

 	return testGroup.release();
 }

 } // sparse
 } // vkt
	/*------------------------------------------------------------------------
	* Vulkan Conformance Tests
	* ------------------------
	*
	* Copyright (c) 2017 The Khronos Group Inc.
	* Copyright (c) 2017 Google 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.
	*
	//!
	* \file vktSparseResourcesImageBlockShapes.cpp
	* \brief Standard block shape tests.
	//--------------------------------------------------------------------*/

	#include "vktSparseResourcesBufferSparseBinding.hpp"
	#include "vktSparseResourcesTestsUtil.hpp"
	#include "vktSparseResourcesBase.hpp"
	#include "vktTestCaseUtil.hpp"

	#include "vkDefs.hpp"
	#include "vkRef.hpp"
	#include "vkRefUtil.hpp"
	#include "vkPlatform.hpp"
	#include "vkPrograms.hpp"
	#include "vkMemUtil.hpp"
	#include "vkBuilderUtil.hpp"
	#include "vkImageUtil.hpp"
	#include "vkQueryUtil.hpp"
	#include "vkTypeUtil.hpp"

	#include "deUniquePtr.hpp"
	#include "deStringUtil.hpp"

	#include <string>
	#include <vector>

	using namespace vk;

	namespace vkt
	{
	namespace sparse
	{
	namespace
	{

	class ImageBlockShapesCase : public TestCase
	{
	public:
	ImageBlockShapesCase (tcu::TestContext& testCtx,
	const std::string& name,
	const std::string& description,
	const ImageType imageType,
	const tcu::UVec3& imageSize,
	const VkFormat format,
	deUint32 numSamples);

	void initPrograms (SourceCollections& sourceCollections) const {DE_UNREF(sourceCollections);}
	TestInstance* createInstance (Context& context) const;
	virtual void checkSupport (Context& context) const;

	private:
	const ImageType m_imageType;
	const tcu::UVec3 m_imageSize;
	const VkFormat m_format;
	const deUint32 m_numSamples;
	};

	ImageBlockShapesCase::ImageBlockShapesCase (tcu::TestContext& testCtx,
	const std::string& name,
	const std::string& description,
	const ImageType imageType,
	const tcu::UVec3& imageSize,
	const VkFormat format,
	deUint32 numSamples)
	: TestCase (testCtx, name, description)
	, m_imageType (imageType)
	, m_imageSize (imageSize)
	, m_format (format)
	, m_numSamples (numSamples)
	{
	}

	void ImageBlockShapesCase::checkSupport (Context& context) const
	{
	const InstanceInterface& instance = context.getInstanceInterface();
	const VkPhysicalDevice physicalDevice = context.getPhysicalDevice();

	// Check the image size does not exceed device limits
	if (!isImageSizeSupported(instance, physicalDevice, m_imageType, m_imageSize))
	TCU_THROW(NotSupportedError, "Image size not supported for device");

	// Check if device supports sparse operations for image type
	if (!checkSparseSupportForImageType(instance, physicalDevice, m_imageType))
	TCU_THROW(NotSupportedError, "Sparse residency for image type is not supported");

	if (formatIsR64(m_format))
	{
	context.requireDeviceFunctionality("VK_EXT_shader_image_atomic_int64");

	if (context.getShaderImageAtomicInt64FeaturesEXT().sparseImageInt64Atomics == VK_FALSE)
	{
	TCU_THROW(NotSupportedError, "sparseImageInt64Atomics is not supported for device");
	}
	}
	}

	class ImageBlockShapesInstance : public SparseResourcesBaseInstance
	{
	public:
	ImageBlockShapesInstance (Context& context,
	const ImageType imageType,
	const tcu::UVec3& imageSize,
	const VkFormat format,
	deUint32 numSamples);

	tcu::TestStatus iterate (void);

	private:
	const ImageType m_imageType;
	const tcu::UVec3 m_imageSize;
	const VkFormat m_format;
	const deUint32 m_numSamples;
	};

	ImageBlockShapesInstance::ImageBlockShapesInstance (Context& context,
	const ImageType imageType,
	const tcu::UVec3& imageSize,
	const VkFormat format,
	deUint32 numSamples)
	: SparseResourcesBaseInstance (context)
	, m_imageType (imageType)
	, m_imageSize (imageSize)
	, m_format (format)
	, m_numSamples (numSamples)
	{
	}

	tcu::TestStatus ImageBlockShapesInstance::iterate (void)
	{
	const InstanceInterface& instance = m_context.getInstanceInterface();
	const VkPhysicalDevice physicalDevice = m_context.getPhysicalDevice();
	const VkPhysicalDeviceProperties physicalDeviceProperties = getPhysicalDeviceProperties(instance, physicalDevice);
	VkImageCreateInfo imageCreateInfo;
	std::vector<VkSparseImageMemoryRequirements> sparseMemoryRequirements;
	const VkPhysicalDeviceSparseProperties sparseProperties = physicalDeviceProperties.sparseProperties;
	const PlanarFormatDescription formatDescription = getPlanarFormatDescription(m_format);

	imageCreateInfo.sType = VK_STRUCTURE_TYPE_IMAGE_CREATE_INFO;
	imageCreateInfo.pNext = DE_NULL;
	imageCreateInfo.flags = VK_IMAGE_CREATE_SPARSE_RESIDENCY_BIT \| VK_IMAGE_CREATE_SPARSE_BINDING_BIT;
	imageCreateInfo.imageType = mapImageType(m_imageType);
	imageCreateInfo.format = m_format;
	imageCreateInfo.extent = makeExtent3D(getLayerSize(m_imageType, m_imageSize));
	imageCreateInfo.mipLevels = 1u;
	imageCreateInfo.arrayLayers = getNumLayers(m_imageType, m_imageSize);
	imageCreateInfo.samples = static_cast<VkSampleCountFlagBits>(m_numSamples);
	imageCreateInfo.tiling = VK_IMAGE_TILING_OPTIMAL;
	imageCreateInfo.initialLayout = VK_IMAGE_LAYOUT_UNDEFINED;
	imageCreateInfo.usage = VK_IMAGE_USAGE_TRANSFER_SRC_BIT \|
	VK_IMAGE_USAGE_STORAGE_BIT;
	imageCreateInfo.sharingMode = VK_SHARING_MODE_EXCLUSIVE;
	imageCreateInfo.queueFamilyIndexCount = 0u;
	imageCreateInfo.pQueueFamilyIndices = DE_NULL;

	if (m_imageType == IMAGE_TYPE_CUBE \|\| m_imageType == IMAGE_TYPE_CUBE_ARRAY)
	{
	imageCreateInfo.flags \|= VK_IMAGE_CREATE_CUBE_COMPATIBLE_BIT;
	}

	// Check the format supports given number of samples
	VkImageFormatProperties imageFormatProperties;

	if (instance.getPhysicalDeviceImageFormatProperties(physicalDevice,
	imageCreateInfo.format,
	imageCreateInfo.imageType,
	imageCreateInfo.tiling,
	imageCreateInfo.usage,
	imageCreateInfo.flags,
	&imageFormatProperties) == VK_ERROR_FORMAT_NOT_SUPPORTED)
	{
	TCU_THROW(NotSupportedError, "Image format does not support sparse operations");
	}

	if (!(imageFormatProperties.sampleCounts & imageCreateInfo.samples))
	TCU_THROW(NotSupportedError, "The image format does not support the number of samples specified");

	// Check if device supports sparse operations for image format
	if (!checkSparseSupportForImageFormat(instance, physicalDevice, imageCreateInfo))
	TCU_THROW(NotSupportedError, "The image format does not support sparse operations");

	{
	QueueRequirementsVec queueRequirements;
	queueRequirements.push_back(QueueRequirements(VK_QUEUE_SPARSE_BINDING_BIT, 1u));

	createDeviceSupportingQueues(queueRequirements);
	}

	{
	const DeviceInterface& deviceInterface = getDeviceInterface();

	// Create sparse image
	const Unique<VkImage> imageSparse( createImage(deviceInterface, getDevice(), &imageCreateInfo) );

	// Get sparse image sparse memory requirements
	sparseMemoryRequirements = getImageSparseMemoryRequirements(deviceInterface, getDevice(), *imageSparse);

	DE_ASSERT(sparseMemoryRequirements.size() != 0);
	}

	for (deUint32 planeNdx = 0; planeNdx < formatDescription.numPlanes; ++planeNdx)
	{
	const VkImageAspectFlags aspect = (formatDescription.numPlanes > 1) ? getPlaneAspect(planeNdx) : VK_IMAGE_ASPECT_COLOR_BIT;
	const deUint32 aspectIndex = getSparseAspectRequirementsIndex(sparseMemoryRequirements, aspect);

	if (aspectIndex == NO_MATCH_FOUND)
	TCU_THROW(NotSupportedError, "Not supported image aspect");

	VkSparseImageMemoryRequirements aspectRequirements = sparseMemoryRequirements[aspectIndex];
	VkExtent3D imageGranularity = aspectRequirements.formatProperties.imageGranularity;
	deUint32 pixelSize = static_cast<deUint32>(formatDescription.planes[planeNdx].elementSizeBytes) * 8u;
	VkExtent3D expectedGranularity;

	if (m_imageType == IMAGE_TYPE_3D)
	{
	if (!sparseProperties.residencyStandard3DBlockShape)
	return tcu::TestStatus::pass("Pass (residencyStandard3DBlockShape disabled)");

	switch (pixelSize)
	{
	case 8:
	expectedGranularity.width = 64;
	expectedGranularity.height = 32;
	expectedGranularity.depth = 32;
	break;
	case 16:
	expectedGranularity.width = 32;
	expectedGranularity.height = 32;
	expectedGranularity.depth = 32;
	break;
	case 32:
	expectedGranularity.width = 32;
	expectedGranularity.height = 32;
	expectedGranularity.depth = 16;
	break;
	case 64:
	expectedGranularity.width = 32;
	expectedGranularity.height = 16;
	expectedGranularity.depth = 16;
	break;
	default:
	DE_ASSERT(pixelSize == 128);
	expectedGranularity.width = 16;
	expectedGranularity.height = 16;
	expectedGranularity.depth = 16;
	break;
	}
	}
	else if (m_numSamples == 2)
	{
	if (!sparseProperties.residencyStandard2DMultisampleBlockShape)
	return tcu::TestStatus::pass("Pass (residencyStandard2DMultisampleBlockShape disabled)");

	expectedGranularity.depth = 1;

	switch (pixelSize)
	{
	case 8:
	expectedGranularity.width = 128;
	expectedGranularity.height = 256;
	break;
	case 16:
	expectedGranularity.width = 128;
	expectedGranularity.height = 128;
	break;
	case 32:
	expectedGranularity.width = 64;
	expectedGranularity.height = 128;
	break;
	case 64:
	expectedGranularity.width = 64;
	expectedGranularity.height = 64;
	break;
	default:
	DE_ASSERT(pixelSize == 128);
	expectedGranularity.width = 32;
	expectedGranularity.height = 64;
	break;
	}
	}
	else if (m_numSamples == 4)
	{
	if (!sparseProperties.residencyStandard2DMultisampleBlockShape)
	return tcu::TestStatus::pass("Pass (residencyStandard2DMultisampleBlockShape disabled)");

	expectedGranularity.depth = 1;

	switch (pixelSize)
	{
	case 8:
	expectedGranularity.width = 128;
	expectedGranularity.height = 128;
	break;
	case 16:
	expectedGranularity.width = 128;
	expectedGranularity.height = 64;
	break;
	case 32:
	expectedGranularity.width = 64;
	expectedGranularity.height = 64;
	break;
	case 64:
	expectedGranularity.width = 64;
	expectedGranularity.height = 32;
	break;
	default:
	DE_ASSERT(pixelSize == 128);
	expectedGranularity.width = 32;
	expectedGranularity.height = 32;
	break;
	}
	}
	else if (m_numSamples == 8)
	{
	if (!sparseProperties.residencyStandard2DMultisampleBlockShape)
	return tcu::TestStatus::pass("Pass (residencyStandard2DMultisampleBlockShape disabled)");

	expectedGranularity.depth = 1;

	switch (pixelSize)
	{
	case 8:
	expectedGranularity.width = 64;
	expectedGranularity.height = 128;
	break;
	case 16:
	expectedGranularity.width = 64;
	expectedGranularity.height = 64;
	break;
	case 32:
	expectedGranularity.width = 32;
	expectedGranularity.height = 64;
	break;
	case 64:
	expectedGranularity.width = 32;
	expectedGranularity.height = 32;
	break;
	default:
	DE_ASSERT(pixelSize == 128);
	expectedGranularity.width = 16;
	expectedGranularity.height = 32;
	break;
	}
	}
	else if (m_numSamples == 16)
	{
	if (!sparseProperties.residencyStandard2DMultisampleBlockShape)
	return tcu::TestStatus::pass("Pass (residencyStandard2DMultisampleBlockShape disabled)");

	expectedGranularity.depth = 1;

	switch (pixelSize)
	{
	case 8:
	expectedGranularity.width = 64;
	expectedGranularity.height = 64;
	break;
	case 16:
	expectedGranularity.width = 64;
	expectedGranularity.height = 32;
	break;
	case 32:
	expectedGranularity.width = 32;
	expectedGranularity.height = 32;
	break;
	case 64:
	expectedGranularity.width = 32;
	expectedGranularity.height = 16;
	break;
	default:
	DE_ASSERT(pixelSize == 128);
	expectedGranularity.width = 16;
	expectedGranularity.height = 16;
	break;
	}
	}
	else
	{
	DE_ASSERT(m_numSamples == 1);

	if (!sparseProperties.residencyStandard2DBlockShape)
	return tcu::TestStatus::pass("Pass (residencyStandard2DBlockShape disabled)");

	expectedGranularity.depth = 1;

	switch (pixelSize)
	{
	case 8:
	expectedGranularity.width = 256;
	expectedGranularity.height = 256;
	break;
	case 16:
	expectedGranularity.width = 256;
	expectedGranularity.height = 128;
	break;
	case 32:
	expectedGranularity.width = 128;
	expectedGranularity.height = 128;
	break;
	case 64:
	expectedGranularity.width = 128;
	expectedGranularity.height = 64;
	break;
	default:
	DE_ASSERT(pixelSize == 128);
	expectedGranularity.width = 64;
	expectedGranularity.height = 64;
	break;
	}
	}

	if ( imageGranularity.width != expectedGranularity.width
	\|\| imageGranularity.height != expectedGranularity.height
	\|\| imageGranularity.depth != expectedGranularity.depth)
	{
	return tcu::TestStatus::fail("Non-standard block shape used");
	}
	}
	return tcu::TestStatus::pass("Passed");
	}

	TestInstance* ImageBlockShapesCase::createInstance (Context& context) const
	{
	return new ImageBlockShapesInstance(context, m_imageType, m_imageSize, m_format, m_numSamples);
	}

	} // anonymous ns

	tcu::TestCaseGroup* createImageBlockShapesTests (tcu::TestContext& testCtx)
	{
	de::MovePtr<tcu::TestCaseGroup> testGroup(new tcu::TestCaseGroup(testCtx, "image_block_shapes", "Standard block shape"));

	const std::vector<TestImageParameters> imageParameters
	{
	{ IMAGE_TYPE_2D, { tcu::UVec3(512u, 256u, 1u) }, getTestFormats(IMAGE_TYPE_2D) },
	{ IMAGE_TYPE_2D_ARRAY, { tcu::UVec3(512u, 256u, 6u) }, getTestFormats(IMAGE_TYPE_2D_ARRAY) },
	{ IMAGE_TYPE_CUBE, { tcu::UVec3(256u, 256u, 1u) }, getTestFormats(IMAGE_TYPE_CUBE) },
	{ IMAGE_TYPE_CUBE_ARRAY, { tcu::UVec3(256u, 256u, 6u) }, getTestFormats(IMAGE_TYPE_CUBE_ARRAY) },
	{ IMAGE_TYPE_3D, { tcu::UVec3(512u, 256u, 16u) }, getTestFormats(IMAGE_TYPE_3D) }
	};

	static const deUint32 sampleCounts[] = { 1u, 2u, 4u, 8u, 16u };

	for (size_t imageTypeNdx = 0; imageTypeNdx < imageParameters.size(); ++imageTypeNdx)
	{
	const ImageType imageType = imageParameters[imageTypeNdx].imageType;
	de::MovePtr<tcu::TestCaseGroup> imageTypeGroup(new tcu::TestCaseGroup(testCtx, getImageTypeName(imageType).c_str(), ""));

	for (size_t formatNdx = 0; formatNdx < imageParameters[imageTypeNdx].formats.size(); ++formatNdx)
	{
	VkFormat format = imageParameters[imageTypeNdx].formats[formatNdx].format;
	tcu::UVec3 imageSizeAlignment = getImageSizeAlignment(format);
	de::MovePtr<tcu::TestCaseGroup> formatGroup (new tcu::TestCaseGroup(testCtx, getImageFormatID(format).c_str(), ""));

	for (deInt32 sampleCountNdx = 0; sampleCountNdx < DE_LENGTH_OF_ARRAY(sampleCounts); ++sampleCountNdx)
	{
	for (size_t imageSizeNdx = 0; imageSizeNdx < imageParameters[imageTypeNdx].imageSizes.size(); ++imageSizeNdx)
	{
	const tcu::UVec3 imageSize = imageParameters[imageTypeNdx].imageSizes[imageSizeNdx];

	// skip test for images with odd sizes for some YCbCr formats
	if ((imageSize.x() % imageSizeAlignment.x()) != 0)
	continue;
	if ((imageSize.y() % imageSizeAlignment.y()) != 0)
	continue;

	const deUint32 sampleCount = sampleCounts[sampleCountNdx];
	const std::string name = std::string("samples_") + de::toString(sampleCount);

	formatGroup->addChild(new ImageBlockShapesCase(testCtx, name.c_str(), "", imageType, imageSize, format, sampleCount));
	}
	}
	imageTypeGroup->addChild(formatGroup.release());
	}
	testGroup->addChild(imageTypeGroup.release());
	}

	return testGroup.release();
	}

	} // sparse
	} // vkt