mirror of
https://github.com/n00mkrad/flowframes.git
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57 lines
2.1 KiB
C#
57 lines
2.1 KiB
C#
using Flowframes.Os;
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using System.Collections.Generic;
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using System.Linq;
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namespace Flowframes.Data
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{
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class Implementations
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{
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public static AI rifeCuda = new AI(AI.AiBackend.Pytorch, "RIFE_CUDA", AI.InterpFactorSupport.AnyInteger, new int[] { 2, 3, 4, 5, 6, 7, 8, 9, 10 });
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public static AI rifeNcnnVs = new AI(AI.AiBackend.Ncnn, "RIFE_NCNN_VS", AI.InterpFactorSupport.AnyFloat, new int[] { 2, 3, 4, 5, 6, 7, 8, 9, 10 })
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{ Piped = true };
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public static AI rifeNcnn = new AI(AI.AiBackend.Ncnn, "RIFE_NCNN", AI.InterpFactorSupport.AnyFloat, new int[] { 2, 3, 4, 5, 6, 7, 8, 9, 10 });
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public static AI flavrCuda = new AI(AI.AiBackend.Pytorch, "FLAVR_CUDA", AI.InterpFactorSupport.Fixed, new int[] { 2, 4, 8 });
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public static AI dainNcnn = new AI(AI.AiBackend.Ncnn, "DAIN_NCNN", AI.InterpFactorSupport.AnyFloat, new int[] { 2, 3, 4, 5, 6, 7, 8 });
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public static AI xvfiCuda = new AI(AI.AiBackend.Pytorch, "XVFI_CUDA", AI.InterpFactorSupport.AnyInteger, new int[] { 2, 3, 4, 5, 6, 7, 8, 9, 10 });
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public static AI ifrnetNcnn = new AI(AI.AiBackend.Ncnn, "IFRNet_NCNN", AI.InterpFactorSupport.Fixed, new int[] { 2 });
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public static List<AI> NetworksAll
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{
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get
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{
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return new List<AI> { rifeCuda, rifeNcnnVs, rifeNcnn, flavrCuda, dainNcnn, xvfiCuda, ifrnetNcnn };
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}
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}
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public static List<AI> NetworksAvailable
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{
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get
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{
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bool pytorchAvailable = Python.IsPytorchReady();
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if (pytorchAvailable)
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return NetworksAll;
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else
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return NetworksAll.Where(x => x.Backend != AI.AiBackend.Pytorch).ToList();
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}
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}
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public static AI GetAi(string aiName)
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{
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foreach (AI ai in NetworksAll)
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{
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if (ai.NameInternal == aiName)
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return ai;
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}
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Logger.Log($"AI implementation lookup failed! This should not happen! Please tell the developer! (Implementations.cs)");
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return NetworksAll[0];
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}
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}
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} |