mirror of
https://github.com/n00mkrad/flowframes.git
synced 2025-12-16 08:27:44 +01:00
Proper pytorch check
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@@ -31,6 +31,9 @@ namespace Flowframes.Data
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PkgDir = pkgDir;
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SupportedFactors = supportedFactors;
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FactorSupport = factorSupport;
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if (backend == AiBackend.Pytorch)
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Description += " (Nvidia Only!)";
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}
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}
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}
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@@ -5,7 +5,7 @@ namespace Flowframes.Data
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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", "RIFE",
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"CUDA/Pytorch Implementation of RIFE (Nvidia Only!)", "rife-cuda", AI.InterpFactorSupport.AnyInteger, new int[] { 2, 3, 4, 5, 6, 7, 8, 9, 10 });
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"CUDA/Pytorch Implementation of RIFE", "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", "RIFE (NCNN/VS)",
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"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 };
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@@ -14,13 +14,13 @@ namespace Flowframes.Data
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"Vulkan/NCNN Implementation of RIFE", "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", "FLAVR",
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"Experimental Pytorch Implementation of FLAVR (Nvidia Only!)", "flavr-cuda", AI.InterpFactorSupport.Fixed, new int[] { 2, 4, 8 });
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"Experimental Pytorch Implementation of FLAVR", "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", "DAIN (NCNN)",
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"Vulkan/NCNN Implementation of DAIN", "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", "XVFI",
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"CUDA/Pytorch Implementation of XVFI (Nvidia Only!)", "xvfi-cuda", AI.InterpFactorSupport.AnyInteger, new int[] { 2, 3, 4, 5, 6, 7, 8, 9, 10 });
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"CUDA/Pytorch Implementation of XVFI", "xvfi-cuda", AI.InterpFactorSupport.AnyInteger, new int[] { 2, 3, 4, 5, 6, 7, 8, 9, 10 });
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public static List<AI> networks = new List<AI> { rifeCuda, rifeNcnnVs, rifeNcnn, flavrCuda, dainNcnn, xvfiCuda };
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@@ -270,7 +270,7 @@ namespace Flowframes
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void InitAis()
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{
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bool pytorchAvailable = Python.HasEmbeddedPyFolder() || Python.IsSysPyInstalled();
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bool pytorchAvailable = Python.IsPytorchReady();
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foreach (AI ai in Implementations.networks)
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{
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@@ -566,8 +566,6 @@ namespace Flowframes.Os
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{
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hasShownError = true;
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UiUtils.ShowMessageBox($"A python module is missing.\nCheck {logFilename} for details.\n\n{line}", UiUtils.MessageType.Error);
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if (!Python.HasEmbeddedPyFolder())
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Process.Start("https://github.com/n00mkrad/flowframes/blob/main/PythonDependencies.md");
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}
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if (!hasShownError && line.ToLower().Contains("no longer supports this gpu"))
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@@ -105,8 +105,12 @@ namespace Flowframes.Os
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public static bool IsPytorchReady ()
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{
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if (HasEmbeddedPyFolder())
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return true;
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string torchVer = GetPytorchVer();
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if (!string.IsNullOrWhiteSpace(torchVer) && torchVer.Length <= 35)
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if (!string.IsNullOrWhiteSpace(torchVer) && torchVer.Length <= 35 && !torchVer.Contains("ModuleNotFoundError"))
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return true;
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else
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return false;
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@@ -118,13 +122,13 @@ namespace Flowframes.Os
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{
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Process py = OsUtils.NewProcess(true);
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py.StartInfo.Arguments = "\"/C\" " + GetPyCmd() + " -c \"import torch; print(torch.__version__)\"";
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Logger.Log("[DepCheck] CMD: " + py.StartInfo.Arguments);
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Logger.Log($"[DepCheck] CMD: {py.StartInfo.Arguments}", true);
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py.Start();
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py.WaitForExit();
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string output = py.StandardOutput.ReadToEnd();
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string err = py.StandardError.ReadToEnd();
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if (!string.IsNullOrWhiteSpace(err)) output += "\n" + err;
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Logger.Log("[DepCheck] Pytorch Check Output: " + output.Trim());
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Logger.Log("[DepCheck] Pytorch Check Output: " + output.Trim(), true);
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return output;
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}
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catch
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