flowframes/CodeLegacy/Os/NvApi.cs

using Flowframes.MiscUtils;
using NvAPIWrapper;
using NvAPIWrapper.GPU;
using System;
using System.Collections.Generic;
using System.Linq;

namespace Flowframes.Os
{
    class NvApi
    {
        public enum Architecture { Undetected, Fermi, Kepler, Maxwell, Pascal, Turing, Ampere, Ada, Blackwell };
        public static List<PhysicalGPU> NvGpus = new List<PhysicalGPU>();
        public static PhysicalGPU GpuWithMostVram = null;
        public static int GpuWithMostVramId => NvGpus.IndexOf(GpuWithMostVram);

        public static void Init()
        {
            try
            {
                var sw = new NmkdStopwatch();
                NVIDIA.Initialize();
                PhysicalGPU[] gpus = PhysicalGPU.GetPhysicalGPUs();

                if (gpus.Length == 0)
                    return;

                NvGpus = gpus.ToList();
                float mostVram = -1f;

                foreach (PhysicalGPU gpu in gpus)
                {
                    float vramGb = gpu.GetVramGb();
                    Logger.Log($"Nvidia GPU: {gpu.FullName} ({vramGb.ToString("0.")} GB) {GetArch(gpu)} Architecture", true);

                    if (vramGb > mostVram)
                    {
                        mostVram = vramGb;
                        GpuWithMostVram = gpu;
                    }
                }

                Logger.Log($"Initialized Nvidia API in {sw.ElapsedMs} ms. GPU{(gpus.Length > 1 ? "s" : "")}: {string.Join(", ", gpus.Select(g => g.FullName))}. Most VRAM: {GpuWithMostVram.FullName} ({mostVram} GB)", true);
            }
            catch (Exception e)
            {
                Logger.Log("No Nvidia GPU(s) detected. You will not be able to use CUDA implementations on GPU.");
                Logger.Log($"Failed to initialize NvApi: {e.Message}\nIgnore this if you don't have an Nvidia GPU.", true);
            }
        }

        public static float GetVramGb (int gpu = 0)
        {
            try
            {
                return (NvGpus[gpu].MemoryInformation.AvailableDedicatedVideoMemoryInkB / 1000f / 1024f);
            }
            catch
            {
                return 0f;
            }
        }

        public static float GetFreeVramGb(int gpu = 0)
        {
            try
            {
                return (NvGpus[gpu].MemoryInformation.CurrentAvailableDedicatedVideoMemoryInkB / 1000f / 1024f);
            }
            catch
            {
                return 0f;
            }
        }

        public static string GetGpuName()
        {
            try
            {
                NVIDIA.Initialize();
                PhysicalGPU[] gpus = PhysicalGPU.GetPhysicalGPUs();
                if (gpus.Length == 0)
                    return "";

                return gpus[0].FullName;
            }
            catch
            {
                return "";
            }
        }

        public static bool HasAmpereOrNewer()
        {
            foreach (PhysicalGPU gpu in NvGpus)
            {
                Architecture arch = GetArch(gpu);

                if (arch == Architecture.Ampere || arch == Architecture.Undetected)
                    return true;
            }

            return false;
        }

        public static Architecture GetArch(PhysicalGPU gpu)
        {
            string arch = gpu.ArchitectInformation.ShortName.Trim();

            if (arch.StartsWith("GF")) return Architecture.Fermi;
            if (arch.StartsWith("GK")) return Architecture.Kepler;
            if (arch.StartsWith("GM")) return Architecture.Maxwell;
            if (arch.StartsWith("GP")) return Architecture.Pascal;
            if (arch.StartsWith("TU")) return Architecture.Turing;
            if (arch.StartsWith("GA")) return Architecture.Ampere;
            if (arch.StartsWith("AD")) return Architecture.Ada;
            if (arch.StartsWith("GB")) return Architecture.Blackwell;

            return Architecture.Undetected;
        }

        public static bool HasTensorCores (int gpu = 0)
        {
            try
            {
                if (NvGpus == null)
                    Init();

                if (NvGpus == null)
                    return false;

                Architecture arch = GetArch(NvGpus[gpu]);
                return arch >= Architecture.Turing;
            }
            catch (Exception e)
            {
                Logger.Log($"HasTensorCores({gpu}) Error: {e.Message}", true);
                return false;
            }
        }
    }
}