using NvAPIWrapper.GPU; using NvAPIWrapper.Native; using NvAPIWrapper.Native.GPU; using NvAPIWrapper.Native.GPU.Structures; using NvAPIWrapper.Native.Interfaces.GPU; using System.Diagnostics; using static NvAPIWrapper.Native.GPU.Structures.PerformanceStates20InfoV1; namespace GHelper.Gpu; public class NvidiaGpuControl : IGpuControl { public const int MaxCoreOffset = 250; public const int MaxMemoryOffset = 250; public const int MinCoreOffset = -250; public const int MinMemoryOffset = -250; private static PhysicalGPU? _internalGpu; public NvidiaGpuControl() { _internalGpu = GetInternalDiscreteGpu(); } public bool IsValid => _internalGpu != null; public bool IsNvidia => IsValid; public string FullName => _internalGpu!.FullName; public int? GetCurrentTemperature() { if (!IsValid) return null; PhysicalGPU internalGpu = _internalGpu!; IThermalSensor? gpuSensor = GPUApi.GetThermalSettings(internalGpu.Handle).Sensors .FirstOrDefault(s => s.Target == ThermalSettingsTarget.GPU); return gpuSensor?.CurrentTemperature; } public void Dispose() { } public void KillGPUApps() { if (!IsValid) return; PhysicalGPU internalGpu = _internalGpu!; try { Process[] processes = internalGpu.GetActiveApplications(); foreach (Process process in processes) ProcessHelper.KillByProcess(process); } catch (Exception ex) { Logger.WriteLine(ex.Message); } //NVIDIA.RestartDisplayDriver(); } public int GetClocks(out int core, out int memory) { PhysicalGPU internalGpu = _internalGpu!; //Logger.WriteLine(internalGpu.FullName); //Logger.WriteLine(internalGpu.ArchitectInformation.ToString()); try { IPerformanceStates20Info states = GPUApi.GetPerformanceStates20(internalGpu.Handle); core = states.Clocks[PerformanceStateId.P0_3DPerformance][0].FrequencyDeltaInkHz.DeltaValue / 1000; memory = states.Clocks[PerformanceStateId.P0_3DPerformance][1].FrequencyDeltaInkHz.DeltaValue / 1000; Logger.WriteLine($"GET GPU CLOCKS: {core}, {memory}"); return 0; } catch (Exception ex) { Logger.WriteLine("GET GPU CLOCKS:" + ex.Message); core = memory = 0; return -1; } } public bool RestartGPU() { try { string script = @"$device = Get-PnpDevice | Where-Object { $_.FriendlyName -imatch 'NVIDIA' -and $_.Class -eq 'Display' }; Disable-PnpDevice $device.InstanceId -Confirm:$false; Start-Sleep -Seconds 3; Enable-PnpDevice $device.InstanceId -Confirm:$false"; Logger.WriteLine(script); ProcessHelper.RunCMD("powershell", script); //Thread.Sleep(2000); return true; } catch (Exception ex) { Logger.WriteLine(ex.ToString()); return false; } } public int SetClocksFromConfig() { int core = AppConfig.Get("gpu_core",0); int memory = AppConfig.Get("gpu_memory",0); int status = SetClocks(core, memory); return status; } public int SetClocks(int core, int memory) { if (core < MinCoreOffset || core > MaxCoreOffset) return 0; if (memory < MinMemoryOffset || memory > MaxMemoryOffset) return 0; PhysicalGPU internalGpu = _internalGpu!; var coreClock = new PerformanceStates20ClockEntryV1(PublicClockDomain.Graphics, new PerformanceStates20ParameterDelta(core * 1000)); var memoryClock = new PerformanceStates20ClockEntryV1(PublicClockDomain.Memory, new PerformanceStates20ParameterDelta(memory * 1000)); PerformanceStates20ClockEntryV1[] clocks = { coreClock, memoryClock }; PerformanceStates20BaseVoltageEntryV1[] voltages = { }; PerformanceState20[] performanceStates = { new PerformanceState20(PerformanceStateId.P0_3DPerformance, clocks, voltages) }; var overclock = new PerformanceStates20InfoV1(performanceStates, 2, 0); try { Logger.WriteLine($"SET GPU CLOCKS: {core}, {memory}"); GPUApi.SetPerformanceStates20(internalGpu.Handle, overclock); } catch (Exception ex) { Logger.WriteLine("SET GPU CLOCKS: " + ex.Message); return -1; } return 1; } private static PhysicalGPU? GetInternalDiscreteGpu() { try { return PhysicalGPU .GetPhysicalGPUs() .FirstOrDefault(gpu => gpu.SystemType == SystemType.Laptop); } catch (Exception ex) { Debug.WriteLine(ex.Message); return null; } } public int? GetGpuUse() { if (!IsValid) return null; PhysicalGPU internalGpu = _internalGpu!; IUtilizationDomainInfo? gpuUsage = GPUApi.GetUsages(internalGpu.Handle).GPU; return (int?)gpuUsage?.Percentage; } }