mirror of
https://github.com/ryujinx-mirror/ryujinx.git
synced 2024-12-04 20:47:56 +01:00
cd18ab29df
* Loop GLScreen with custom method * Fix deadlocks * Fix screen resizing * Change event to bool * Try to fix quitting error * Set title from main thread * Queue max 1 vsync, fix high FPS after a slowdown
190 lines
5.2 KiB
C#
190 lines
5.2 KiB
C#
using Ryujinx.HLE.Gpu.Memory;
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using System.Collections.Concurrent;
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using System.Threading;
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namespace Ryujinx.HLE.Gpu.Engines
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{
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class NvGpuFifo
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{
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private const int MacrosCount = 0x80;
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private const int MacroIndexMask = MacrosCount - 1;
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//Note: The size of the macro memory is unknown, we just make
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//a guess here and use 256kb as the size. Increase if needed.
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private const int MmeWords = 256 * 256;
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private NvGpu Gpu;
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private ConcurrentQueue<(NvGpuVmm, NvGpuPBEntry)> BufferQueue;
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private NvGpuEngine[] SubChannels;
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public AutoResetEvent Event { get; private set; }
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private struct CachedMacro
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{
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public int Position { get; private set; }
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private MacroInterpreter Interpreter;
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public CachedMacro(NvGpuFifo PFifo, INvGpuEngine Engine, int Position)
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{
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this.Position = Position;
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Interpreter = new MacroInterpreter(PFifo, Engine);
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}
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public void PushParam(int Param)
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{
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Interpreter?.Fifo.Enqueue(Param);
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}
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public void Execute(NvGpuVmm Vmm, int[] Mme, int Param)
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{
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Interpreter?.Execute(Vmm, Mme, Position, Param);
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}
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}
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private int CurrMacroPosition;
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private int CurrMacroBindIndex;
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private CachedMacro[] Macros;
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private int[] Mme;
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public NvGpuFifo(NvGpu Gpu)
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{
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this.Gpu = Gpu;
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BufferQueue = new ConcurrentQueue<(NvGpuVmm, NvGpuPBEntry)>();
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SubChannels = new NvGpuEngine[8];
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Macros = new CachedMacro[MacrosCount];
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Mme = new int[MmeWords];
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Event = new AutoResetEvent(false);
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}
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public void PushBuffer(NvGpuVmm Vmm, NvGpuPBEntry[] Buffer)
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{
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foreach (NvGpuPBEntry PBEntry in Buffer)
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{
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BufferQueue.Enqueue((Vmm, PBEntry));
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}
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Event.Set();
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}
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public void DispatchCalls()
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{
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while (Step());
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}
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public bool Step()
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{
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if (BufferQueue.TryDequeue(out (NvGpuVmm Vmm, NvGpuPBEntry PBEntry) Tuple))
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{
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CallMethod(Tuple.Vmm, Tuple.PBEntry);
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return true;
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}
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return false;
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}
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private void CallMethod(NvGpuVmm Vmm, NvGpuPBEntry PBEntry)
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{
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if (PBEntry.Method < 0x80)
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{
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switch ((NvGpuFifoMeth)PBEntry.Method)
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{
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case NvGpuFifoMeth.BindChannel:
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{
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NvGpuEngine Engine = (NvGpuEngine)PBEntry.Arguments[0];
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SubChannels[PBEntry.SubChannel] = Engine;
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break;
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}
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case NvGpuFifoMeth.SetMacroUploadAddress:
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{
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CurrMacroPosition = PBEntry.Arguments[0];
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break;
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}
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case NvGpuFifoMeth.SendMacroCodeData:
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{
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foreach (int Arg in PBEntry.Arguments)
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{
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Mme[CurrMacroPosition++] = Arg;
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}
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break;
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}
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case NvGpuFifoMeth.SetMacroBindingIndex:
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{
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CurrMacroBindIndex = PBEntry.Arguments[0];
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break;
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}
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case NvGpuFifoMeth.BindMacro:
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{
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int Position = PBEntry.Arguments[0];
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Macros[CurrMacroBindIndex] = new CachedMacro(this, Gpu.Engine3d, Position);
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break;
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}
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}
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}
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else
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{
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switch (SubChannels[PBEntry.SubChannel])
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{
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case NvGpuEngine._2d: Call2dMethod (Vmm, PBEntry); break;
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case NvGpuEngine._3d: Call3dMethod (Vmm, PBEntry); break;
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case NvGpuEngine.Dma: CallDmaMethod(Vmm, PBEntry); break;
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}
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}
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}
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private void Call2dMethod(NvGpuVmm Vmm, NvGpuPBEntry PBEntry)
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{
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Gpu.Engine2d.CallMethod(Vmm, PBEntry);
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}
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private void Call3dMethod(NvGpuVmm Vmm, NvGpuPBEntry PBEntry)
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{
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if (PBEntry.Method < 0xe00)
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{
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Gpu.Engine3d.CallMethod(Vmm, PBEntry);
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}
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else
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{
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int MacroIndex = (PBEntry.Method >> 1) & MacroIndexMask;
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if ((PBEntry.Method & 1) != 0)
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{
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foreach (int Arg in PBEntry.Arguments)
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{
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Macros[MacroIndex].PushParam(Arg);
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}
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}
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else
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{
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Macros[MacroIndex].Execute(Vmm, Mme, PBEntry.Arguments[0]);
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}
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}
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}
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private void CallDmaMethod(NvGpuVmm Vmm, NvGpuPBEntry PBEntry)
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{
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Gpu.EngineDma.CallMethod(Vmm, PBEntry);
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}
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}
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} |