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Better implementation/networks references (all vs available)

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n00mkrad
2022-07-06 10:40:41 +02:00
parent 791cd6f532
commit 9f9263bf3b
4 changed files with 37 additions and 27 deletions
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42
Code/Data/Implementations.cs
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@@ -1,39 +1,57 @@
using System.Collections.Generic;
using Flowframes.Os;
using System.Collections.Generic;
using System.Linq;
namespace Flowframes.Data
{
class Implementations
{
public static AI rifeCuda = new AI(AI.AiBackend.Pytorch, "RIFE_CUDA", "RIFE",
public static AI rifeCuda = new AI(AI.AiBackend.Pytorch, "RIFE_CUDA", "RIFE",
"CUDA/Pytorch Implementation of RIFE", "rife-cuda", AI.InterpFactorSupport.AnyInteger, new int[] { 2, 3, 4, 5, 6, 7, 8, 9, 10 });
public static AI rifeNcnnVs = new AI(AI.AiBackend.Ncnn, "RIFE_NCNN_VS", "RIFE (NCNN/VS)",
"Vulkan/NCNN/VapourSynth Implementation of RIFE", "rife-ncnn-vs", AI.InterpFactorSupport.AnyFloat, new int[] { 2, 3, 4, 5, 6, 7, 8, 9, 10 }) { Piped = true };
"Vulkan/NCNN/VapourSynth Implementation of RIFE", "rife-ncnn-vs", AI.InterpFactorSupport.AnyFloat, new int[] { 2, 3, 4, 5, 6, 7, 8, 9, 10 })
{ Piped = true };
public static AI rifeNcnn = new AI(AI.AiBackend.Ncnn, "RIFE_NCNN", "RIFE (NCNN)",
public static AI rifeNcnn = new AI(AI.AiBackend.Ncnn, "RIFE_NCNN", "RIFE (NCNN)",
"Vulkan/NCNN Implementation of RIFE", "rife-ncnn", AI.InterpFactorSupport.AnyFloat, new int[] { 2, 3, 4, 5, 6, 7, 8, 9, 10 });
public static AI flavrCuda = new AI(AI.AiBackend.Pytorch, "FLAVR_CUDA", "FLAVR",
public static AI flavrCuda = new AI(AI.AiBackend.Pytorch, "FLAVR_CUDA", "FLAVR",
"Experimental Pytorch Implementation of FLAVR", "flavr-cuda", AI.InterpFactorSupport.Fixed, new int[] { 2, 4, 8 });
public static AI dainNcnn = new AI(AI.AiBackend.Ncnn, "DAIN_NCNN", "DAIN (NCNN)",
public static AI dainNcnn = new AI(AI.AiBackend.Ncnn, "DAIN_NCNN", "DAIN (NCNN)",
"Vulkan/NCNN Implementation of DAIN", "dain-ncnn", AI.InterpFactorSupport.AnyFloat, new int[] { 2, 3, 4, 5, 6, 7, 8 });
public static AI xvfiCuda = new AI(AI.AiBackend.Pytorch, "XVFI_CUDA", "XVFI",
public static AI xvfiCuda = new AI(AI.AiBackend.Pytorch, "XVFI_CUDA", "XVFI",
"CUDA/Pytorch Implementation of XVFI", "xvfi-cuda", AI.InterpFactorSupport.AnyInteger, new int[] { 2, 3, 4, 5, 6, 7, 8, 9, 10 });
public static List<AI> networks = new List<AI> { rifeCuda, rifeNcnnVs, rifeNcnn, flavrCuda, dainNcnn, xvfiCuda };
public static AI GetAi (string aiName)
public static List<AI> NetworksAll
{
foreach(AI ai in networks)
get
{
return new List<AI> { rifeCuda, rifeNcnnVs, rifeNcnn, flavrCuda, dainNcnn, xvfiCuda };
}
}
public static List<AI> NetworksAvailable
{
get
{
bool pytorchAvailable = Python.IsPytorchReady();
return NetworksAll.Where(x => x.Backend != AI.AiBackend.Pytorch).ToList();
}
}
public static AI GetAi(string aiName)
{
foreach (AI ai in NetworksAll)
{
if (ai.AiName == aiName)
return ai;
}
Logger.Log($"AI implementation lookup failed! This should not happen! Please tell the developer! (Implementations.cs)");
return networks[0];
return NetworksAll[0];
}
}
}