# Note: This sample uses the deprecated NdlNetworkBuilder.
#       An updated version using BrainScript is coming soon.
#       Please find updated samples on Github, https://github.com/Microsoft/CNTK/tree/master/Examples /...
#
# Parameters can be overwritten on the command line
# for example: cntk configFile=myConfigFile RootDir=../.. 
# For running from Visual Studio add
# currentDirectory=$(SolutionDir)/<path to corresponding data folder> 
RootDir = ".."

ConfigDir = "$RootDir$/Config"
DataDir = "$RootDir$/Data"
OutputDir = "$RootDir$/Output"
ModelDir = "$OutputDir$/Models"

# deviceId = -1 for CPU, >=0 for GPU devices, "auto" chooses the best GPU, or CPU if no usable GPU is available
deviceId = -1

command = speechTrain

precision = "float"
traceLevel = 1
modelPath = "$ModelDir$/cntkSpeechLSTM.dnn"
parallelTrain = true

#######################################
#  TRAINING CONFIG                    #
#######################################

frameMode = false
truncated = true

speechTrain = [
    action = "train"
    nbrUttsIneachRecurrentIter = 16
    
    NDLNetworkBuilder = [
        networkDescription = "$ConfigDir$/lstmp-3layer-opt.ndl"
    ]
    
    SGD = [
        epochSize = 0
        minibatchSize = 16
        learningRatesPerMB = 0.5
        numMBsToShowResult = 10
        momentumPerMB = 0:0.9
        maxEpochs = 4
        keepCheckPointFiles = true       
    ]
    
    reader = [
        readerType = "HTKMLFReader"
        readMethod = "blockRandomize"
        miniBatchMode = "partial"
        randomize = "auto"
        verbosity = 0
        
        features = [
            dim = 363
            type = "real"
            scpFile = "$DataDir$/glob_0000.scp"
        ]
        
        labels = [
            mlfFile = "$DataDir$/glob_0000.mlf"
            labelMappingFile = "$DataDir$/state.list"
            labelDim = 132
            labelType = "category"
        ]
    ]
]