public async void UpdateModelStatus()
{
_applicationStatusManager.ChangeCurrentAppStatus(Enums.Status.Working, "Working | loading model...");
//get the last version of ml model with specific config
try
{
Log.Information("Loading ml model.");
Status = "Loading ml model...";
var confDir = Path.Join(Environment.GetFolderPath(Environment.SpecialFolder.LocalApplicationData), "lacmus");
var configPath = Path.Join(confDir, "appConfig.json");
_appConfig = await AppConfig.Create(configPath);
var config = _appConfig.MlModelConfig;;
// get local versions
var localVersions = await MLModel.GetInstalledVersions(config);
if (localVersions.Contains(config.ModelVersion))
{
Log.Information($"Find local version: {config.Image.Name}:{config.Image.Tag}.");
}
else
{
IsShowLoadModelButton = true;
throw new Exception($"There are no ml local models to init: {config.Image.Name}:{config.Image.Tag}");
}
Repository = config.Image.Name;
Version = $"{config.ModelVersion}";
Type = $"{config.Type}";
using (var model = new MLModel(config))
await model.Download();
Status = $"Ready";
IsError = false;
Log.Information("Successfully loads ml model.");
}
catch (Exception e)
{
Status = $"Not ready.";
IsError = true;
Error = $"Error: {e.Message}";
Log.Error(e, "Unable to load model.");
}
_applicationStatusManager.ChangeCurrentAppStatus(Enums.Status.Ready, "");
}
private async void LoadModel()
{
_applicationStatusManager.ChangeCurrentAppStatus(Enums.Status.Working, "Working | loading model...");
//get the last version of ml model with specific config
try
{
_applicationStatusManager.ChangeCurrentAppStatus(Enums.Status.Working, "");
ModelManagerWindow window = new ModelManagerWindow(_window.LocalizationContext, ref _appConfig, _applicationStatusManager, _window.ThemeManager);
_appConfig = await window.ShowResult();
var config = _appConfig.MlModelConfig;
// init local model or download and init it from docker registry
var localVersions = await MLModel.GetInstalledVersions(config);
if (localVersions.Contains(config.ModelVersion))
{
Log.Information($"Find local version: {config.Image.Name}:{config.Image.Tag}.");
}
else
{
IsShowLoadModelButton = true;
throw new Exception($"There are no ml local models to init: {config.Image.Name}:{config.Image.Tag}");
}
Repository = config.Image.Name;
Version = $"{config.ModelVersion}";
Type = $"{config.Type}";
using (var model = new MLModel(config))
await model.Download();
Status = $"Ready";
IsError = false;
_window.AppConfig = _appConfig;
}
catch (Exception e)
{
Status = $"Not ready.";
IsError = true;
Error = $"Error: {e.Message}";
Log.Error(e, "Unable to load model.");
}
_applicationStatusManager.ChangeCurrentAppStatus(Enums.Status.Ready, "");
}
public async Task DownloadModel()
{
_applicationStatusManager.ChangeCurrentAppStatus(Enums.Status.Working, "Working | loading model...");
try
{
if (SelectedAvailableModel == null)
{
throw new Exception("No selected model.");
}
if (SelectedAvailableModel.Type == MLModelType.Gpu)
{
if (!RuntimeInformation.IsOSPlatform(OSPlatform.Linux))
{
var msgbox = MessageBoxManager.GetMessageBoxStandardWindow(new MessageBoxStandardParams
{
ButtonDefinitions = ButtonEnum.Ok,
ContentTitle = "OSError",
ContentMessage = LocalizationContext.OsErrorMesageGPU,
Icon = MessageBox.Avalonia.Enums.Icon.Error,
Style = Style.None,
ShowInCenter = true
});
var result = await msgbox.Show();
throw new Exception($"Incorrect OS for {SelectedAvailableModel.Type} inference type");
}
/*
* if (CudafyHost.GetDeviceCount(eGPUType.Emulator) == 0)
* {
* var msgbox = MessageBoxManager.GetMessageBoxStandardWindow(new MessageBoxStandardParams
* {
* ButtonDefinitions = ButtonEnum.Ok,
* ContentTitle = "CUDA Error",
* ContentMessage = "No CUDA devises.",
* Icon = MessageBox.Avalonia.Enums.Icon.Error,
* Style = Style.None,
* ShowInCenter = true
* });
* var result = await msgbox.Show();
* throw new Exception($"No CUDA devises.");
* }
*/
}
var config = new MLModelConfig();
config.Image.Name = SelectedAvailableModel.Name;
config.Type = SelectedAvailableModel.Type;
config.ModelVersion = SelectedAvailableModel.Version;
config.ApiVersion = SelectedAvailableModel.ApiVersion;
config.Image.Tag = config.GetDockerTag();
using (var model = new MLModel(config))
await model.Download();
}
catch (Exception e)
{
Log.Error(e, "Unable to download ml model.");
}
_applicationStatusManager.ChangeCurrentAppStatus(Enums.Status.Ready, "");
}