mirror of
https://github.com/starr-dusT/yuzu-mainline
synced 2024-03-05 21:12:25 -08:00
208 lines
6.9 KiB
C++
208 lines
6.9 KiB
C++
// SPDX-FileCopyrightText: Copyright 2018 yuzu Emulator Project
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// SPDX-License-Identifier: GPL-2.0-or-later
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#pragma once
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#include <atomic>
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#include <map>
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#include <optional>
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#include <vector>
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#include "common/common_types.h"
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#include "common/multi_level_page_table.h"
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#include "common/virtual_buffer.h"
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#include "video_core/pte_kind.h"
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namespace VideoCore {
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class RasterizerInterface;
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}
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namespace Core {
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class DeviceMemory;
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namespace Memory {
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class Memory;
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} // namespace Memory
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class System;
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} // namespace Core
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namespace Tegra {
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class MemoryManager final {
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public:
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explicit MemoryManager(Core::System& system_, u64 address_space_bits_ = 40,
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u64 big_page_bits_ = 16, u64 page_bits_ = 12);
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~MemoryManager();
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size_t GetID() const {
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return unique_identifier;
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}
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/// Binds a renderer to the memory manager.
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void BindRasterizer(VideoCore::RasterizerInterface* rasterizer);
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[[nodiscard]] std::optional<VAddr> GpuToCpuAddress(GPUVAddr addr) const;
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[[nodiscard]] std::optional<VAddr> GpuToCpuAddress(GPUVAddr addr, std::size_t size) const;
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template <typename T>
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[[nodiscard]] T Read(GPUVAddr addr) const;
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template <typename T>
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void Write(GPUVAddr addr, T data);
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[[nodiscard]] u8* GetPointer(GPUVAddr addr);
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[[nodiscard]] const u8* GetPointer(GPUVAddr addr) const;
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/**
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* ReadBlock and WriteBlock are full read and write operations over virtual
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* GPU Memory. It's important to use these when GPU memory may not be continuous
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* in the Host Memory counterpart. Note: This functions cause Host GPU Memory
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* Flushes and Invalidations, respectively to each operation.
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*/
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void ReadBlock(GPUVAddr gpu_src_addr, void* dest_buffer, std::size_t size) const;
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void WriteBlock(GPUVAddr gpu_dest_addr, const void* src_buffer, std::size_t size);
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void CopyBlock(GPUVAddr gpu_dest_addr, GPUVAddr gpu_src_addr, std::size_t size);
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/**
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* ReadBlockUnsafe and WriteBlockUnsafe are special versions of ReadBlock and
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* WriteBlock respectively. In this versions, no flushing or invalidation is actually
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* done and their performance is similar to a memcpy. This functions can be used
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* on either of this 2 scenarios instead of their safe counterpart:
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* - Memory which is sure to never be represented in the Host GPU.
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* - Memory Managed by a Cache Manager. Example: Texture Flushing should use
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* WriteBlockUnsafe instead of WriteBlock since it shouldn't invalidate the texture
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* being flushed.
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*/
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void ReadBlockUnsafe(GPUVAddr gpu_src_addr, void* dest_buffer, std::size_t size) const;
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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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*/
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[[nodiscard]] bool IsGranularRange(GPUVAddr gpu_addr, std::size_t size) const;
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/**
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* Checks if a gpu region is mapped by a single range of cpu addresses.
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*/
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[[nodiscard]] bool IsContinousRange(GPUVAddr gpu_addr, std::size_t size) const;
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/**
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* Checks if a gpu region is mapped entirely.
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*/
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[[nodiscard]] bool IsFullyMappedRange(GPUVAddr gpu_addr, std::size_t size) const;
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/**
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* Returns a vector with all the subranges of cpu addresses mapped beneath.
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* if the region is continous, a single pair will be returned. If it's unmapped, an empty vector
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* will be returned;
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*/
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std::vector<std::pair<GPUVAddr, std::size_t>> GetSubmappedRange(GPUVAddr gpu_addr,
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std::size_t size) const;
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GPUVAddr Map(GPUVAddr gpu_addr, VAddr cpu_addr, std::size_t size,
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PTEKind kind = PTEKind::INVALID, bool is_big_pages = true);
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GPUVAddr MapSparse(GPUVAddr gpu_addr, std::size_t size, bool is_big_pages = true);
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void Unmap(GPUVAddr gpu_addr, std::size_t size);
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void FlushRegion(GPUVAddr gpu_addr, size_t size) const;
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void InvalidateRegion(GPUVAddr gpu_addr, size_t size) const;
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bool IsMemoryDirty(GPUVAddr gpu_addr, size_t size) const;
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size_t MaxContinousRange(GPUVAddr gpu_addr, size_t size) const;
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bool IsWithinGPUAddressRange(GPUVAddr gpu_addr) const {
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return gpu_addr < address_space_size;
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}
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PTEKind GetPageKind(GPUVAddr gpu_addr) const;
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private:
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template <bool is_big_pages, typename FuncMapped, typename FuncReserved, typename FuncUnmapped>
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inline void MemoryOperation(GPUVAddr gpu_src_addr, std::size_t size, FuncMapped&& func_mapped,
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FuncReserved&& func_reserved, FuncUnmapped&& func_unmapped) const;
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template <bool is_safe>
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void ReadBlockImpl(GPUVAddr gpu_src_addr, void* dest_buffer, std::size_t size) const;
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template <bool is_safe>
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void WriteBlockImpl(GPUVAddr gpu_dest_addr, const void* src_buffer, std::size_t size);
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template <bool is_big_page>
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[[nodiscard]] std::size_t PageEntryIndex(GPUVAddr gpu_addr) const {
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if constexpr (is_big_page) {
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return (gpu_addr >> big_page_bits) & big_page_table_mask;
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} else {
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return (gpu_addr >> page_bits) & page_table_mask;
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}
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}
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inline bool IsBigPageContinous(size_t big_page_index) const;
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inline void SetBigPageContinous(size_t big_page_index, bool value);
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Core::System& system;
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Core::Memory::Memory& memory;
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Core::DeviceMemory& device_memory;
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const u64 address_space_bits;
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const u64 page_bits;
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u64 address_space_size;
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u64 page_size;
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u64 page_mask;
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u64 page_table_mask;
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static constexpr u64 cpu_page_bits{12};
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const u64 big_page_bits;
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u64 big_page_size;
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u64 big_page_mask;
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u64 big_page_table_mask;
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VideoCore::RasterizerInterface* rasterizer = nullptr;
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enum class EntryType : u64 {
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Free = 0,
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Reserved = 1,
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Mapped = 2,
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};
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std::vector<u64> entries;
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std::vector<u64> big_entries;
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template <EntryType entry_type>
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GPUVAddr PageTableOp(GPUVAddr gpu_addr, [[maybe_unused]] VAddr cpu_addr, size_t size,
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PTEKind kind);
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template <EntryType entry_type>
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GPUVAddr BigPageTableOp(GPUVAddr gpu_addr, [[maybe_unused]] VAddr cpu_addr, size_t size,
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PTEKind kind);
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template <bool is_big_page>
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inline EntryType GetEntry(size_t position) const;
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template <bool is_big_page>
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inline void SetEntry(size_t position, EntryType entry);
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std::vector<std::array<PTEKind, 32>> kinds;
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std::vector<std::array<PTEKind, 32>> big_kinds;
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template <bool is_big_page>
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inline PTEKind GetKind(size_t position) const;
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template <bool is_big_page>
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inline void SetKind(size_t position, PTEKind kind);
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Common::MultiLevelPageTable<u32> page_table;
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Common::VirtualBuffer<u32> big_page_table_cpu;
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std::vector<u64> big_page_continous;
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constexpr static size_t continous_bits = 64;
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const size_t unique_identifier;
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static std::atomic<size_t> unique_identifier_generator;
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};
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} // namespace Tegra
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