More cleanup

app/Gpu/NVidia/NvidiaGpuControl.cs

@@ -0,0 +1,199 @@
+using GHelper.Helpers;
+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.NVidia;
+
+public class NvidiaGpuControl : IGpuControl
+{
+
+    public static int MaxCoreOffset => AppConfig.Get("max_gpu_core", 250);
+    public static int MaxMemoryOffset => AppConfig.Get("max_gpu_memory", 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)
+                try
+                {
+                    Logger.WriteLine("Kill:" + process.ProcessName);
+                    ProcessHelper.KillByProcess(process);
+                }
+                catch (Exception ex)
+                {
+                    Logger.WriteLine(ex.Message);
+                }
+        }
+        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($"GET GPU CLOCKS: {core}, {memory}");
+
+            foreach (var delta in states.Voltages[PerformanceStateId.P0_3DPerformance])
+            {
+                Logger.WriteLine("GPU VOLT:" + delta.IsEditable + " - " + delta.ValueDeltaInMicroVolt.DeltaValue);
+            }
+
+            return 0;
+
+        }
+        catch (Exception ex)
+        {
+            Logger.WriteLine("GET GPU CLOCKS:" + ex.Message);
+            core = memory = 0;
+            return -1;
+        }
+
+    }
+
+
+    public bool RestartGPU()
+    {
+        try
+        {
+            string script = @"$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, int voltage = 0)
+    {
+
+        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));
+        var voltageEntry = new PerformanceStates20BaseVoltageEntryV1(PerformanceVoltageDomain.Core, new PerformanceStates20ParameterDelta(voltage));
+
+        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;
+
+    }
+
+}