yuzu-android/src/video_core/memory_manager.h

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// SPDX-FileCopyrightText: Copyright 2018 yuzu Emulator Project
// SPDX-License-Identifier: GPL-2.0-or-later
#pragma once
#include <atomic>
#include <map>
#include <optional>
#include <vector>
#include "common/common_types.h"
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#include "common/multi_level_page_table.h"
#include "common/virtual_buffer.h"
namespace VideoCore {
class RasterizerInterface;
}
namespace Core {
class DeviceMemory;
namespace Memory {
class Memory;
} // namespace Memory
class System;
} // namespace Core
namespace Tegra {
class MemoryManager final {
public:
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explicit MemoryManager(Core::System& system_, u64 address_space_bits_ = 40,
u64 big_page_bits_ = 16, u64 page_bits_ = 12);
~MemoryManager();
size_t GetID() const {
return unique_identifier;
}
/// Binds a renderer to the memory manager.
void BindRasterizer(VideoCore::RasterizerInterface* rasterizer);
[[nodiscard]] std::optional<VAddr> GpuToCpuAddress(GPUVAddr addr) const;
[[nodiscard]] std::optional<VAddr> GpuToCpuAddress(GPUVAddr addr, std::size_t size) const;
template <typename T>
[[nodiscard]] T Read(GPUVAddr addr) const;
template <typename T>
void Write(GPUVAddr addr, T data);
[[nodiscard]] u8* GetPointer(GPUVAddr addr);
[[nodiscard]] const u8* GetPointer(GPUVAddr addr) const;
/**
* ReadBlock and WriteBlock are full read and write operations over virtual
* GPU Memory. It's important to use these when GPU memory may not be continuous
* in the Host Memory counterpart. Note: This functions cause Host GPU Memory
* Flushes and Invalidations, respectively to each operation.
*/
void ReadBlock(GPUVAddr gpu_src_addr, void* dest_buffer, std::size_t size) const;
void WriteBlock(GPUVAddr gpu_dest_addr, const void* src_buffer, std::size_t size);
void CopyBlock(GPUVAddr gpu_dest_addr, GPUVAddr gpu_src_addr, std::size_t size);
/**
* ReadBlockUnsafe and WriteBlockUnsafe are special versions of ReadBlock and
* WriteBlock respectively. In this versions, no flushing or invalidation is actually
* done and their performance is similar to a memcpy. This functions can be used
* on either of this 2 scenarios instead of their safe counterpart:
* - Memory which is sure to never be represented in the Host GPU.
* - Memory Managed by a Cache Manager. Example: Texture Flushing should use
* WriteBlockUnsafe instead of WriteBlock since it shouldn't invalidate the texture
* being flushed.
*/
void ReadBlockUnsafe(GPUVAddr gpu_src_addr, void* dest_buffer, std::size_t size) const;
void WriteBlockUnsafe(GPUVAddr gpu_dest_addr, const void* src_buffer, std::size_t size);
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/**
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* Checks if a gpu region can be simply read with a pointer.
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*/
[[nodiscard]] bool IsGranularRange(GPUVAddr gpu_addr, std::size_t size) const;
/**
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* Checks if a gpu region is mapped by a single range of cpu addresses.
*/
[[nodiscard]] bool IsContinousRange(GPUVAddr gpu_addr, std::size_t size) const;
/**
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* Checks if a gpu region is mapped entirely.
*/
[[nodiscard]] bool IsFullyMappedRange(GPUVAddr gpu_addr, std::size_t size) const;
/**
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* Returns a vector with all the subranges of cpu addresses mapped beneath.
* if the region is continous, a single pair will be returned. If it's unmapped, an empty vector
* will be returned;
*/
std::vector<std::pair<GPUVAddr, std::size_t>> GetSubmappedRange(GPUVAddr gpu_addr,
std::size_t size) const;
GPUVAddr Map(GPUVAddr gpu_addr, VAddr cpu_addr, std::size_t size, bool is_big_pages = true);
GPUVAddr MapSparse(GPUVAddr gpu_addr, std::size_t size, bool is_big_pages = true);
void Unmap(GPUVAddr gpu_addr, std::size_t size);
void FlushRegion(GPUVAddr gpu_addr, size_t size) const;
private:
template <bool is_big_pages, typename FuncMapped, typename FuncReserved, typename FuncUnmapped>
inline void MemoryOperation(GPUVAddr gpu_src_addr, std::size_t size, FuncMapped&& func_mapped,
FuncReserved&& func_reserved, FuncUnmapped&& func_unmapped) const;
template <bool is_safe>
void ReadBlockImpl(GPUVAddr gpu_src_addr, void* dest_buffer, std::size_t size) const;
template <bool is_safe>
void WriteBlockImpl(GPUVAddr gpu_dest_addr, const void* src_buffer, std::size_t size);
template <bool is_big_page>
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[[nodiscard]] inline std::size_t PageEntryIndex(GPUVAddr gpu_addr) const {
if constexpr (is_big_page) {
return (gpu_addr >> big_page_bits) & big_page_table_mask;
} else {
return (gpu_addr >> page_bits) & page_table_mask;
}
}
inline bool IsBigPageContinous(size_t big_page_index) const;
inline void SetBigPageContinous(size_t big_page_index, bool value);
Core::System& system;
Core::Memory::Memory& memory;
Core::DeviceMemory& device_memory;
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const u64 address_space_bits;
const u64 page_bits;
u64 address_space_size;
u64 page_size;
u64 page_mask;
u64 page_table_mask;
static constexpr u64 cpu_page_bits{12};
const u64 big_page_bits;
u64 big_page_size;
u64 big_page_mask;
u64 big_page_table_mask;
VideoCore::RasterizerInterface* rasterizer = nullptr;
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enum class EntryType : u64 {
Free = 0,
Reserved = 1,
Mapped = 2,
};
std::vector<u64> entries;
std::vector<u64> big_entries;
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template <EntryType entry_type>
GPUVAddr PageTableOp(GPUVAddr gpu_addr, [[maybe_unused]] VAddr cpu_addr, size_t size);
template <EntryType entry_type>
GPUVAddr BigPageTableOp(GPUVAddr gpu_addr, [[maybe_unused]] VAddr cpu_addr, size_t size);
template <bool is_big_page>
inline EntryType GetEntry(size_t position) const;
template <bool is_big_page>
inline void SetEntry(size_t position, EntryType entry);
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Common::MultiLevelPageTable<u32> page_table;
Common::VirtualBuffer<u32> big_page_table_cpu;
std::vector<u64> big_page_continous;
constexpr static size_t continous_bits = 64;
const size_t unique_identifier;
static std::atomic<size_t> unique_identifier_generator;
};
} // namespace Tegra