private static void ComputeMetrics(string configFileForTest, ModelMetricTypes metricsType)
{
// Compute metrics.
bool needComputePerplexity = (metricsType == ModelMetricTypes.Intr ||
metricsType == ModelMetricTypes.Both);
var tuner = new LDAParameterTuner("getmetrics", TestSampleName, configFileForTest, "", needComputePerplexity);
tuner.Run();
ConsoleColor color;
FileManager.DeleteFile(Path.Combine(Path.GetDirectoryName(configFileForTest), @"build\DocumentTopicAllocations.txt"), out color);
}
public static bool HaveMetricsBeenComputed(string configFileForTest, string testSampleName, ModelMetricTypes metricsType)
{
if (metricsType == ModelMetricTypes.Both)
{
return(HaveMetricsBeenComputed(configFileForTest, testSampleName, ModelMetricTypes.Intr) &&
HaveMetricsBeenComputed(configFileForTest, testSampleName, ModelMetricTypes.Extr));
}
// Get model directory
string modelDir = Path.GetDirectoryName(configFileForTest);
// Get metrics file path
string metricsFile = "";
if (metricsType == ModelMetricTypes.Intr)
{
metricsFile = Path.Combine(modelDir, string.Format(@"build\{0}.Perplexity.txt", testSampleName));
}
else if (metricsType == ModelMetricTypes.Extr)
{
metricsFile = Path.Combine(modelDir, @"build\ExtrinsicMetrics.tsv");
}
if (!File.Exists(metricsFile))
{
return(false);
}
// file is locked for writing - important for multi-threading,
// to avoid potential conflict with another thread that might be computing metrics for the same model.
if (FileManager.IsFileLocked(metricsFile))
{
return(true);
}
long length = FileManager.GetFileLength(metricsFile);
return(length > 0L);
}
public static void Main(string[] args)
{
if (args.Length < 2)
{
System.Console.WriteLine("Usage: WrapperForFastLDATuning.exe <WorkerRole> <NumOfThreads> [MetricsType]");
System.Console.WriteLine(DetailUsage);
Environment.Exit(1);
}
if (!Enum.TryParse(args[0], true, out WorkerRole))
{
StatusMessage.Write("Unrecognized value for worker role. Exiting...");
return;
}
if (!Int32.TryParse(args[1], out NumOfThreads))
{
StatusMessage.Write("Invalid value for number of threads. Exiting...");
return;
}
if (WorkerRole == WorkerRoles.Metrics)
{
if (args.Length < 3)
{
// By default we compute both intrinsic and extrinsic metrics.
MetricsType = ModelMetricTypes.Both;
}
else if (!Enum.TryParse(args[2], true, out MetricsType))
{
StatusMessage.Write("Unrecognized value for metrics type. Exiting...");
return;
}
if (args.Length > 3)
{
RunAllMetrics = args[3].Equals("all", StringComparison.OrdinalIgnoreCase);
}
}
Initialize();
// Load default LDA config as seed
var defaultLDAConfig = LoadLDAConfig(DefaultModelConfigFile);
// Get the folders of parameter range files and training config files.
// Examples of folder structure: d:\ModelRepository\TuneLDAParameters\RangesOfParams
// d:\ModelRepository\TuneLDAParameters\LDALearningConfigFiles
string folderOfParamRangeFiles = Path.Combine(ModelRepositoryPath, ProjResourceSubFolder, RangeOfParamsSubFolder);
string folderOfTrainingConfigFiles = Path.Combine(ModelRepositoryPath, ProjResourceSubFolder, LDALearningConfigsSubFolder);
List <string> listOfLDAConfigFilesForFeaturization = new List <string>();
List <string> listOfLDAConfigFilesForTest = new List <string>();
// Generate multiple LDA configs for featurization, training and test.
List <string> listOfLDAConfigFilesForTrain;
if (NeedLoadLDAConfigFiles)
{
listOfLDAConfigFilesForTrain =
LDAConfigFileGenerator.LoadLDAConfigFiles(ModelRepositoryPath,
TrainingSampleName,
defaultLDAConfig,
SourceFolderOfLDAConfigFiles,
folderOfTrainingConfigFiles,
ref listOfLDAConfigFilesForFeaturization,
ref listOfLDAConfigFilesForTest);
}
else if (NeedLoadLDAParameterTable)
{
listOfLDAConfigFilesForTrain =
LDAConfigFileGenerator.LoadLDAParameterTable(ModelRepositoryPath,
TrainingSampleName,
defaultLDAConfig,
LDAParameterTablePath,
folderOfTrainingConfigFiles,
ref listOfLDAConfigFilesForFeaturization,
ref listOfLDAConfigFilesForTest);
}
else
{
listOfLDAConfigFilesForTrain =
LDAConfigFileGenerator.GenerateLDAConfigFiles(ModelRepositoryPath,
folderOfParamRangeFiles,
TrainingSampleName,
defaultLDAConfig,
folderOfTrainingConfigFiles,
ref listOfLDAConfigFilesForFeaturization,
ref listOfLDAConfigFilesForTest);
}
switch (WorkerRole)
{
case WorkerRoles.Training:
FeaturizeSample(listOfLDAConfigFilesForFeaturization, TrainingSampleName, NumOfThreads);
if (NeedCopyToRemote)
{
CopyVocabularies(listOfLDAConfigFilesForTest.First(), RemoteModelRepositoryPath);
// Start a thread that:
// 1). monitors model directory;
// 2). copies models to remote model repository when they are done;
// 3). deletes them once copy is successful.
Thread newThread = new Thread(Program.CopyModels);
newThread.Start(NeedDeleteFromLocal);
}
TrainLDAModels(listOfLDAConfigFilesForTrain, listOfLDAConfigFilesForTest, NumOfThreads);
if (NeedCopyToRemote)
{
WaitForCopyThread();
}
break;
case WorkerRoles.Metrics:
if (RunAllMetrics)
{
long numOfModelsMeasured = 0;
ComputeMetrics(listOfLDAConfigFilesForTest, NumOfThreads, MetricsType, ref numOfModelsMeasured);
break;
}
// Get common parent of individual model directories.
string commonParentOfModelDirectories = FileManager.GetGrandparentOfFilePath(listOfLDAConfigFilesForTest.First());
ComputeMetrics(commonParentOfModelDirectories, NumOfThreads, MetricsType);
break;
default:
return;
}
StatusMessage.Write("Done!");
}
/// <summary>
/// Compute metrics for each config file within a group.
/// </summary>
/// <param name="groupOfConfigFiles"></param>
private static void ComputeMetrics(IGrouping <object, string> groupOfConfigFiles, ModelMetricTypes metricsType, int numOfThreadsPerGroup = 1)
{
long count = 0;
int totalCount = groupOfConfigFiles.Count();
Parallel.ForEach(groupOfConfigFiles, new ParallelOptions {
MaxDegreeOfParallelism = numOfThreadsPerGroup
},
configFile =>
{
Interlocked.Increment(ref count);
StatusMessage.Write(string.Format("Computing metrics for model #{0} of {1} within group {2},\r\n\tunder {3}\r\n",
Interlocked.Read(ref count),
totalCount,
groupOfConfigFiles.Key,
Path.GetDirectoryName(configFile)));
ComputeMetrics(configFile, metricsType);
});
}
private static void ComputeMetrics(List <string> configFilesReady, int numOfThreads, ModelMetricTypes metricsType, ref long totalNumOfModelsMeasured)
{
long numOfModelsMeasured = Interlocked.Read(ref totalNumOfModelsMeasured);
// Group LDAConfig files by featurization parameters, i.e. <min, max>.
var groupsOfLDAConfigFiles = configFilesReady.GroupBy(f => new
{
ExtractFeaturizationParameters(f).MinWordDocumentFrequency,
ExtractFeaturizationParameters(f).MaxRalativeWordDocumentFrequency
}).ToArray();
// Compute metrics for very first item to generate DocumentVocabularies in case of need.
ComputeMetrics(groupsOfLDAConfigFiles.First().First(), metricsType);
int numOfThreadsPerGroup = (int)(Math.Ceiling((decimal)numOfThreads / groupsOfLDAConfigFiles.Length));
// Run multi-threading over different groups, then run single-thread within each group.
Parallel.ForEach(groupsOfLDAConfigFiles, new ParallelOptions {
MaxDegreeOfParallelism = numOfThreads
},
groupOfConfigFiles =>
{
long groupSize = groupOfConfigFiles.Count();
ComputeMetrics(groupOfConfigFiles, metricsType, numOfThreadsPerGroup);
Interlocked.Add(ref numOfModelsMeasured, groupSize);
StatusMessage.Write(
string.Format("Metrics of model #{0} computed.", Interlocked.Read(ref numOfModelsMeasured)),
ConsoleColor.Green);
});
}
private static void ComputeMetrics(string commonParentOfModelDirs, int numOfThreads, ModelMetricTypes metricsType)
{
long i = 0;
long oneHour = 60 * 60 * 1000L;
long numOfModelsMeasured = 0;
while (true)
{
int numOfModelsDemanded = 0;
// Find all LDAConfig files (.json)
List <string> listOfLDAConfigFilesForTest = FileManager.SearchFileInDir(commonParentOfModelDirs, "*.LDAConfig.json");
do
{
// Find the models that are ready and need to compute metrics.
var configFilesReady = listOfLDAConfigFilesForTest.Where(configFile =>
LDAModelStatusChecker.AreModelFilesReady(configFile) &&
!LDAModelStatusChecker.HaveMetricsBeenComputed(configFile, TestSampleName, metricsType)).ToList();
if (configFilesReady.Count() == 0)
{
Thread.Sleep(1);
continue;
}
ComputeMetrics(configFilesReady, numOfThreads, metricsType, ref numOfModelsMeasured);
Thread.Sleep(1);
// Find the number of models that demand computation of metrics.
numOfModelsDemanded = listOfLDAConfigFilesForTest.Count(configFile => !LDAModelStatusChecker.HaveMetricsBeenComputed(configFile, TestSampleName, metricsType));
} while (numOfModelsDemanded > 0);
Thread.Sleep(1);
if (i++ % oneHour == 0)
{
// Display the message when the metrics thread has been idle for every hour.
StatusMessage.Write("Waiting for models to be ready...");
}
}
}
