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https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator
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Merge remote-tracking branch 'origin/MemoryBudget' into MemoryBudget
# Conflicts: # src/vk_mem_alloc.h
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//
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//
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//
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// Copyright (c) 2017-2019 Advanced Micro Devices, Inc. All rights reserved.
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// Copyright (c) 2017-2019 Advanced Micro Devices, Inc. All rights reserved.
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//
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//
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// Permission is hereby granted, free of charge, to any person obtaining a copy
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// Permission is hereby granted, free of charge, to any person obtaining a copy
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@ -30,9 +29,9 @@ extern "C" {
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/** \mainpage Vulkan Memory Allocator
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/** \mainpage Vulkan Memory Allocator
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<b>Version 2.3.0-development</b> (2019-07-02)
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<b>Version 2.3.0-development</b> (2019-11-02)
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Copyright (c) 2017-2018 Advanced Micro Devices, Inc. All rights reserved. \n
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Copyright (c) 2017-2019 Advanced Micro Devices, Inc. All rights reserved. \n
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License: MIT
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License: MIT
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Documentation of all members: vk_mem_alloc.h
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Documentation of all members: vk_mem_alloc.h
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@ -55,6 +54,9 @@ Documentation of all members: vk_mem_alloc.h
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- [Persistently mapped memory](@ref memory_mapping_persistently_mapped_memory)
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- [Persistently mapped memory](@ref memory_mapping_persistently_mapped_memory)
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- [Cache control](@ref memory_mapping_cache_control)
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- [Cache control](@ref memory_mapping_cache_control)
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- [Finding out if memory is mappable](@ref memory_mapping_finding_if_memory_mappable)
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- [Finding out if memory is mappable](@ref memory_mapping_finding_if_memory_mappable)
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- \subpage staying_within_budget
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- [Querying for budget](@ref staying_within_budget_querying_for_budget)
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- [Controlling memory usage](@ref staying_within_budget_controlling_memory_usage)
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- \subpage custom_memory_pools
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- \subpage custom_memory_pools
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- [Choosing memory type index](@ref custom_memory_pools_MemTypeIndex)
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- [Choosing memory type index](@ref custom_memory_pools_MemTypeIndex)
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- [Linear allocation algorithm](@ref linear_algorithm)
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- [Linear allocation algorithm](@ref linear_algorithm)
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\endcode
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\endcode
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\page staying_within_budget Staying within budget
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When developing a graphics-intensive game or program, it is important to avoid allocating
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more GPU memory than it's physically available. When the memory is over-committed,
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various bad things can happen, depending on the specific GPU, graphics driver, and
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operating system:
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- It may just work without any problems.
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- The application may slow down because some memory blocks are moved to system RAM
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and the GPU has to access them through PCI Express bus.
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- A new allocation may take very long time to complete, even few seconds, and possibly
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freeze entire system.
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- The new allocation may fail with `VK_ERROR_OUT_OF_DEVICE_MEMORY`.
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- It may even result in GPU crash (TDR), observed as `VK_ERROR_DEVICE_LOST`
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returned somewhere later.
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\section staying_within_budget_querying_for_budget Querying for budget
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To query for current memory usage and available budget, use function vmaGetBudget().
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Returned structure #VmaBudget contains quantities expressed in bytes, per Vulkan memory heap.
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Please note that this function returns different information and works faster than
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vmaCalculateStats(). vmaGetBudget() can be called every frame or even before every
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allocation, while vmaCalculateStats() is intended to be used rarely,
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only to obtain statistical information, e.g. for debugging purposes.
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It is recommended to use <b>VK_EXT_memory_budget</b> device extension to obtain information
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about the budget from Vulkan device. VMA is able to use this extension automatically.
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When not enabled, the allocator behaves same way, but then it estimates current usage
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and available budget based on its internal information and Vulkan memory heap sizes,
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which may be less precise. In order to use this extension:
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1. Make sure extensions VK_EXT_memory_budget and VK_KHR_get_physical_device_properties2
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required by it are available and enable them. Please note that the first is a device
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extension and the second is instance extension!
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2. Use flag #VMA_ALLOCATOR_CREATE_ ?? when creating #VmaAllocator object.
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3. Make sure to call vmaSetCurrentFrameIndex() every frame. Budget is queried from
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Vulkan inside of it to avoid overhead of querying it with every allocation.
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\section staying_within_budget_controlling_memory_usage Controlling memory usage
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There are many ways in which you can try to stay within the budget.
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First, when making new allocation requires allocating a new memory block, the library
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tries not to exceed the budget automatically. If a block with default recommended size
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(e.g. 256 MB) would go over budget, a smaller block is allocated, possibly even
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dedicated memory for just this resource.
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If the size of the requested resource plus current memory usage is more than the
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budget, by default the library still tries to create it, leaving it to the Vulkan
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implementation whether the allocation succeeds or fails. You can change this behavior
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by using #VMA_ALLOCATION_CREATE_WITHIN_BUDGET_BIT flag. With it, the allocation is
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not made if it would exceed the budget or if the budget is already exceeded.
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Some other allocations become lost instead to make room for it, if the mechanism of
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[lost allocations](@ref lost_allocations) is used.
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If that is not possible, the allocation fails with `VK_ERROR_OUT_OF_DEVICE_MEMORY`.
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Example usage pattern may be to pass the #VMA_ALLOCATION_CREATE_WITHIN_BUDGET_BIT flag
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when creating resources that are not essential for the application (e.g. the texture
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of a specific object) and not to pass it when creating critically important resources
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(e.g. render targets).
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Finally, you can also use #VMA_ALLOCATION_CREATE_NEVER_ALLOCATE_BIT flag to make sure
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a new allocation is created only when it fits inside one of the existing memory blocks.
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If it would require to allocate a new block, if fails instead with `VK_ERROR_OUT_OF_DEVICE_MEMORY`.
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This also ensures that the function call is very fast because it never goes to Vulkan
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to obtain a new block.
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Please note that creating \ref custom_memory_pools with VmaPoolCreateInfo::minBlockCount
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set to more than 0 will try to allocate memory blocks without checking whether they
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fit within budget.
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\page custom_memory_pools Custom memory pools
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\page custom_memory_pools Custom memory pools
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A memory pool contains a number of `VkDeviceMemory` blocks.
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A memory pool contains a number of `VkDeviceMemory` blocks.
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@ -2102,17 +2176,10 @@ typedef struct VmaBudget
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It might be different (most probably smaller) than `VkMemoryHeap::size[heapIndex]` due to factors
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It might be different (most probably smaller) than `VkMemoryHeap::size[heapIndex]` due to factors
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external to the program, like other programs also consuming system resources.
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external to the program, like other programs also consuming system resources.
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Difference `budget - usage` is the amount of additional memory that can probably
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Difference `budget - usage` is the amount of additional memory that can probably
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be allocated without problems. Exceeding the budget may result, depending on operating
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be allocated without problems. Exceeding the budget may result in various problems.
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system and graphics driver:
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- Allocation failing with `VK_ERROR_OUT_OF_DEVICE_MEMORY`.
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- Allocation taking very long time, even few seconds.
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- Overall system slowdown.
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- Even GPU crash (TDR), observed as `VK_ERROR_DEVICE_LOST` returned somewhere later.
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*/
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*/
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VkDeviceSize budget;
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VkDeviceSize budget[VK_MAX_MEMORY_HEAPS];
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} VmaBudget;
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} VmaBudget;
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/** \brief Retrieves information about current memory budget for all memory heaps.
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/** \brief Retrieves information about current memory budget for all memory heaps.
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