CPU info:
    CPU Model Name: Intel(R) Xeon(R) CPU E5-2630 v2 @ 2.60GHz
    Hardware threads: 24
    Total Memory: 268381192 kB
-------------------------------------------------------------------
=== Running /cygdrive/c/jenkins/workspace/CNTK-Test-Windows-W1/x64/release/cntk.exe configFile=C:\jenkins\workspace\CNTK-Test-Windows-W1\Examples\Speech\AN4\Config/FeedForward.cntk currentDirectory=C:\jenkins\workspace\CNTK-Test-Windows-W1\Examples\Speech\AN4\Data RunDir=C:\Users\svcphil\AppData\Local\Temp\cntk-test-20160816031849.416502\Examples\Speech\AN4_FeedForward@release_cpu DataDir=C:\jenkins\workspace\CNTK-Test-Windows-W1\Examples\Speech\AN4\Data ConfigDir=C:\jenkins\workspace\CNTK-Test-Windows-W1\Examples\Speech\AN4\Config OutputDir=C:\Users\svcphil\AppData\Local\Temp\cntk-test-20160816031849.416502\Examples\Speech\AN4_FeedForward@release_cpu DeviceId=-1 timestamping=true speechTrain=[SGD=[maxEpochs=1]] speechTrain=[SGD=[epochSize=2048]] speechTrain=[reader=[useMersenneTwisterRand=true]]
-------------------------------------------------------------------
Build info: 

		Built time: Aug 16 2016 03:09:16
		Last modified date: Fri Aug 12 05:28:23 2016
		Build type: Release
		Build target: GPU
		Math lib: mkl
		CUDA_PATH: C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v7.5
		CUB_PATH: c:\src\cub-1.4.1
		CUDNN_PATH: c:\NVIDIA\cudnn-4.0\cuda
		Build Branch: HEAD
		Build SHA1: 026b1e772b963461e189f8f00aa7ed6951298f84
		Built by svcphil on Philly-Pool1
		Build Path: c:\jenkins\workspace\CNTK-Build-Windows\Source\CNTK\
-------------------------------------------------------------------
Changed current directory to C:\jenkins\workspace\CNTK-Test-Windows-W1\Examples\Speech\AN4\Data
MPIWrapper: initializing MPI
ping [requestnodes (before change)]: 1 nodes pinging each other
ping [requestnodes (before change)]: all 1 nodes responded
requestnodes [MPIWrapper]: using 1 out of 1 MPI nodes (1 requested); we (0) are in (participating)
ping [requestnodes (after change)]: 1 nodes pinging each other
ping [requestnodes (after change)]: all 1 nodes responded
mpihelper: only one MPI process: MPI operation will be boring
ping [mpihelper]: 1 nodes pinging each other
ping [mpihelper]: all 1 nodes responded
08/16/2016 03:20:10: -------------------------------------------------------------------
08/16/2016 03:20:10: Build info: 

08/16/2016 03:20:10: 		Built time: Aug 16 2016 03:09:16
08/16/2016 03:20:10: 		Last modified date: Fri Aug 12 05:28:23 2016
08/16/2016 03:20:10: 		Build type: Release
08/16/2016 03:20:10: 		Build target: GPU
08/16/2016 03:20:10: 		Math lib: mkl
08/16/2016 03:20:10: 		CUDA_PATH: C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v7.5
08/16/2016 03:20:10: 		CUB_PATH: c:\src\cub-1.4.1
08/16/2016 03:20:10: 		CUDNN_PATH: c:\NVIDIA\cudnn-4.0\cuda
08/16/2016 03:20:10: 		Build Branch: HEAD
08/16/2016 03:20:10: 		Build SHA1: 026b1e772b963461e189f8f00aa7ed6951298f84
08/16/2016 03:20:10: 		Built by svcphil on Philly-Pool1
08/16/2016 03:20:10: 		Build Path: c:\jenkins\workspace\CNTK-Build-Windows\Source\CNTK\
08/16/2016 03:20:10: -------------------------------------------------------------------
08/16/2016 03:20:12: -------------------------------------------------------------------
08/16/2016 03:20:12: GPU info:

08/16/2016 03:20:12: 		Device[0]: cores = 2880; computeCapability = 3.5; type = "GeForce GTX 780 Ti"; memory = 3072 MB
08/16/2016 03:20:12: 		Device[1]: cores = 2880; computeCapability = 3.5; type = "GeForce GTX 780 Ti"; memory = 3072 MB
08/16/2016 03:20:12: 		Device[2]: cores = 2880; computeCapability = 3.5; type = "GeForce GTX 780 Ti"; memory = 3072 MB
08/16/2016 03:20:12: -------------------------------------------------------------------

08/16/2016 03:20:12: Running on DPHAIM-25 at 2016/08/16 03:20:12
08/16/2016 03:20:12: Command line: 
C:\jenkins\workspace\CNTK-Test-Windows-W1\x64\release\cntk.exe  configFile=C:\jenkins\workspace\CNTK-Test-Windows-W1\Examples\Speech\AN4\Config/FeedForward.cntk  currentDirectory=C:\jenkins\workspace\CNTK-Test-Windows-W1\Examples\Speech\AN4\Data  RunDir=C:\Users\svcphil\AppData\Local\Temp\cntk-test-20160816031849.416502\Examples\Speech\AN4_FeedForward@release_cpu  DataDir=C:\jenkins\workspace\CNTK-Test-Windows-W1\Examples\Speech\AN4\Data  ConfigDir=C:\jenkins\workspace\CNTK-Test-Windows-W1\Examples\Speech\AN4\Config  OutputDir=C:\Users\svcphil\AppData\Local\Temp\cntk-test-20160816031849.416502\Examples\Speech\AN4_FeedForward@release_cpu  DeviceId=-1  timestamping=true  speechTrain=[SGD=[maxEpochs=1]]  speechTrain=[SGD=[epochSize=2048]]  speechTrain=[reader=[useMersenneTwisterRand=true]]



08/16/2016 03:20:12: >>>>>>>>>>>>>>>>>>>> RAW CONFIG (VARIABLES NOT RESOLVED) >>>>>>>>>>>>>>>>>>>>
08/16/2016 03:20:12: RootDir = ".."
ConfigDir = "$RootDir$/Config"
DataDir = "$RootDir$/Data"
OutputDir = "$RootDir$/Output"
ModelDir = "$OutputDir$/Models"
deviceId = -1
command = speechTrain
precision = "float"
traceLevel = "1"
modelPath = "$ModelDir$/cntkSpeechFF.dnn"
parallelTrain = true
speechTrain = [
    action = "train"
    SimpleNetworkBuilder = [
        layerSizes = 363:512:512:132
        trainingCriterion = "CrossEntropyWithSoftmax"
        evalCriterion = "ClassificationError"
        layerTypes = "Sigmoid"
        applyMeanVarNorm = true
        needPrior = true
    ]
    SGD = [
        epochSize = 20480
        minibatchSize = 256:1024:2048
        learningRatesPerMB = 1.0:0.5:0.1
        numMBsToShowResult = 10
        momentumPerMB = 0.9:0.656119
        maxEpochs = 3
        keepCheckPointFiles = true
        parallelTrain = [
            parallelizationMethod = "DataParallelSGD"
            distributedMBReading = true
            dataParallelSGD = [
                gradientBits = 1
            ]
        ]
        autoAdjust=[
            autoAdjustMinibatch = true
            minibatchSizeTuningFrequency = 1
            minibatchSearchCriterionErrorMargin = 2
        ]
    ]
    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"
        ]
    ]
]
currentDirectory=C:\jenkins\workspace\CNTK-Test-Windows-W1\Examples\Speech\AN4\Data
RunDir=C:\Users\svcphil\AppData\Local\Temp\cntk-test-20160816031849.416502\Examples\Speech\AN4_FeedForward@release_cpu
DataDir=C:\jenkins\workspace\CNTK-Test-Windows-W1\Examples\Speech\AN4\Data
ConfigDir=C:\jenkins\workspace\CNTK-Test-Windows-W1\Examples\Speech\AN4\Config
OutputDir=C:\Users\svcphil\AppData\Local\Temp\cntk-test-20160816031849.416502\Examples\Speech\AN4_FeedForward@release_cpu
DeviceId=-1
timestamping=true
speechTrain=[SGD=[maxEpochs=1]]
speechTrain=[SGD=[epochSize=2048]]
speechTrain=[reader=[useMersenneTwisterRand=true]]

08/16/2016 03:20:12: <<<<<<<<<<<<<<<<<<<< RAW CONFIG (VARIABLES NOT RESOLVED)  <<<<<<<<<<<<<<<<<<<<

08/16/2016 03:20:12: >>>>>>>>>>>>>>>>>>>> RAW CONFIG WITH ALL VARIABLES RESOLVED >>>>>>>>>>>>>>>>>>>>
08/16/2016 03:20:12: RootDir = ".."
ConfigDir = "../Config"
DataDir = "../Data"
OutputDir = "../Output"
ModelDir = "C:\Users\svcphil\AppData\Local\Temp\cntk-test-20160816031849.416502\Examples\Speech\AN4_FeedForward@release_cpu/Models"
deviceId = -1
command = speechTrain
precision = "float"
traceLevel = "1"
modelPath = "C:\Users\svcphil\AppData\Local\Temp\cntk-test-20160816031849.416502\Examples\Speech\AN4_FeedForward@release_cpu/Models/cntkSpeechFF.dnn"
parallelTrain = true
speechTrain = [
    action = "train"
    SimpleNetworkBuilder = [
        layerSizes = 363:512:512:132
        trainingCriterion = "CrossEntropyWithSoftmax"
        evalCriterion = "ClassificationError"
        layerTypes = "Sigmoid"
        applyMeanVarNorm = true
        needPrior = true
    ]
    SGD = [
        epochSize = 20480
        minibatchSize = 256:1024:2048
        learningRatesPerMB = 1.0:0.5:0.1
        numMBsToShowResult = 10
        momentumPerMB = 0.9:0.656119
        maxEpochs = 3
        keepCheckPointFiles = true
        parallelTrain = [
            parallelizationMethod = "DataParallelSGD"
            distributedMBReading = true
            dataParallelSGD = [
                gradientBits = 1
            ]
        ]
        autoAdjust=[
            autoAdjustMinibatch = true
            minibatchSizeTuningFrequency = 1
            minibatchSearchCriterionErrorMargin = 2
        ]
    ]
    reader = [
        readerType = "HTKMLFReader"
        readMethod = "blockRandomize"
        miniBatchMode = "partial"
        randomize = "auto"
        verbosity = 0
        features = [ 
            dim = 363
            type = "real"
            scpFile = "C:\jenkins\workspace\CNTK-Test-Windows-W1\Examples\Speech\AN4\Data/glob_0000.scp"
        ]
        labels = [
            mlfFile = "C:\jenkins\workspace\CNTK-Test-Windows-W1\Examples\Speech\AN4\Data/glob_0000.mlf"
            labelMappingFile = "C:\jenkins\workspace\CNTK-Test-Windows-W1\Examples\Speech\AN4\Data/state.list"
            labelDim = 132
            labelType = "category"
        ]
    ]
]
currentDirectory=C:\jenkins\workspace\CNTK-Test-Windows-W1\Examples\Speech\AN4\Data
RunDir=C:\Users\svcphil\AppData\Local\Temp\cntk-test-20160816031849.416502\Examples\Speech\AN4_FeedForward@release_cpu
DataDir=C:\jenkins\workspace\CNTK-Test-Windows-W1\Examples\Speech\AN4\Data
ConfigDir=C:\jenkins\workspace\CNTK-Test-Windows-W1\Examples\Speech\AN4\Config
OutputDir=C:\Users\svcphil\AppData\Local\Temp\cntk-test-20160816031849.416502\Examples\Speech\AN4_FeedForward@release_cpu
DeviceId=-1
timestamping=true
speechTrain=[SGD=[maxEpochs=1]]
speechTrain=[SGD=[epochSize=2048]]
speechTrain=[reader=[useMersenneTwisterRand=true]]

08/16/2016 03:20:12: <<<<<<<<<<<<<<<<<<<< RAW CONFIG WITH ALL VARIABLES RESOLVED <<<<<<<<<<<<<<<<<<<<

08/16/2016 03:20:12: >>>>>>>>>>>>>>>>>>>> PROCESSED CONFIG WITH ALL VARIABLES RESOLVED >>>>>>>>>>>>>>>>>>>>
configparameters: FeedForward.cntk:command=speechTrain
configparameters: FeedForward.cntk:ConfigDir=C:\jenkins\workspace\CNTK-Test-Windows-W1\Examples\Speech\AN4\Config
configparameters: FeedForward.cntk:currentDirectory=C:\jenkins\workspace\CNTK-Test-Windows-W1\Examples\Speech\AN4\Data
configparameters: FeedForward.cntk:DataDir=C:\jenkins\workspace\CNTK-Test-Windows-W1\Examples\Speech\AN4\Data
configparameters: FeedForward.cntk:deviceId=-1
configparameters: FeedForward.cntk:ModelDir=C:\Users\svcphil\AppData\Local\Temp\cntk-test-20160816031849.416502\Examples\Speech\AN4_FeedForward@release_cpu/Models
configparameters: FeedForward.cntk:modelPath=C:\Users\svcphil\AppData\Local\Temp\cntk-test-20160816031849.416502\Examples\Speech\AN4_FeedForward@release_cpu/Models/cntkSpeechFF.dnn
configparameters: FeedForward.cntk:OutputDir=C:\Users\svcphil\AppData\Local\Temp\cntk-test-20160816031849.416502\Examples\Speech\AN4_FeedForward@release_cpu
configparameters: FeedForward.cntk:parallelTrain=true
configparameters: FeedForward.cntk:precision=float
configparameters: FeedForward.cntk:RootDir=..
configparameters: FeedForward.cntk:RunDir=C:\Users\svcphil\AppData\Local\Temp\cntk-test-20160816031849.416502\Examples\Speech\AN4_FeedForward@release_cpu
configparameters: FeedForward.cntk:speechTrain=[
    action = "train"
    SimpleNetworkBuilder = [
        layerSizes = 363:512:512:132
        trainingCriterion = "CrossEntropyWithSoftmax"
        evalCriterion = "ClassificationError"
        layerTypes = "Sigmoid"
        applyMeanVarNorm = true
        needPrior = true
    ]
    SGD = [
        epochSize = 20480
        minibatchSize = 256:1024:2048
        learningRatesPerMB = 1.0:0.5:0.1
        numMBsToShowResult = 10
        momentumPerMB = 0.9:0.656119
        maxEpochs = 3
        keepCheckPointFiles = true
        parallelTrain = [
            parallelizationMethod = "DataParallelSGD"
            distributedMBReading = true
            dataParallelSGD = [
                gradientBits = 1
            ]
        ]
        autoAdjust=[
            autoAdjustMinibatch = true
            minibatchSizeTuningFrequency = 1
            minibatchSearchCriterionErrorMargin = 2
        ]
    ]
    reader = [
        readerType = "HTKMLFReader"
        readMethod = "blockRandomize"
        miniBatchMode = "partial"
        randomize = "auto"
        verbosity = 0
        features = [ 
            dim = 363
            type = "real"
            scpFile = "C:\jenkins\workspace\CNTK-Test-Windows-W1\Examples\Speech\AN4\Data/glob_0000.scp"
        ]
        labels = [
            mlfFile = "C:\jenkins\workspace\CNTK-Test-Windows-W1\Examples\Speech\AN4\Data/glob_0000.mlf"
            labelMappingFile = "C:\jenkins\workspace\CNTK-Test-Windows-W1\Examples\Speech\AN4\Data/state.list"
            labelDim = 132
            labelType = "category"
        ]
    ]
] [SGD=[maxEpochs=1]] [SGD=[epochSize=2048]] [reader=[useMersenneTwisterRand=true]]

configparameters: FeedForward.cntk:timestamping=true
configparameters: FeedForward.cntk:traceLevel=1
08/16/2016 03:20:12: <<<<<<<<<<<<<<<<<<<< PROCESSED CONFIG WITH ALL VARIABLES RESOLVED <<<<<<<<<<<<<<<<<<<<
08/16/2016 03:20:12: Commands: speechTrain
08/16/2016 03:20:12: Precision = "float"
08/16/2016 03:20:12: CNTKModelPath: C:\Users\svcphil\AppData\Local\Temp\cntk-test-20160816031849.416502\Examples\Speech\AN4_FeedForward@release_cpu/Models/cntkSpeechFF.dnn
08/16/2016 03:20:12: CNTKCommandTrainInfo: speechTrain : 1
08/16/2016 03:20:12: CNTKCommandTrainInfo: CNTKNoMoreCommands_Total : 1

08/16/2016 03:20:12: ##############################################################################
08/16/2016 03:20:12: #                                                                            #
08/16/2016 03:20:12: # Action "train"                                                             #
08/16/2016 03:20:12: #                                                                            #
08/16/2016 03:20:12: ##############################################################################

08/16/2016 03:20:12: CNTKCommandTrainBegin: speechTrain
SimpleNetworkBuilder Using CPU
reading script file C:\jenkins\workspace\CNTK-Test-Windows-W1\Examples\Speech\AN4\Data/glob_0000.scp ... 948 entries
total 132 state names in state list C:\jenkins\workspace\CNTK-Test-Windows-W1\Examples\Speech\AN4\Data/state.list
htkmlfreader: reading MLF file C:\jenkins\workspace\CNTK-Test-Windows-W1\Examples\Speech\AN4\Data/glob_0000.mlf ... total 948 entries
...............................................................................................feature set 0: 252734 frames in 948 out of 948 utterances
label set 0: 129 classes
minibatchutterancesource: 948 utterances grouped into 3 chunks, av. chunk size: 316.0 utterances, 84244.7 frames

08/16/2016 03:20:12: Creating virgin network.
Node 'W0' (LearnableParameter operation): Initializing Parameter[512 x 363] <- 0.000000.
Node 'W0' (LearnableParameter operation): Initializing Parameter[512 x 363] <- uniform(seed=1, range=0.050000*1.000000, onCPU=false).
Node 'B0' (LearnableParameter operation): Initializing Parameter[512 x 1] <- 0.000000.
Node 'B0' (LearnableParameter operation): Initializing Parameter[512 x 1] <- 0.000000.
Node 'W1' (LearnableParameter operation): Initializing Parameter[512 x 512] <- 0.000000.
Node 'W1' (LearnableParameter operation): Initializing Parameter[512 x 512] <- uniform(seed=2, range=0.050000*1.000000, onCPU=false).
Node 'B1' (LearnableParameter operation): Initializing Parameter[512 x 1] <- 0.000000.
Node 'B1' (LearnableParameter operation): Initializing Parameter[512 x 1] <- 0.000000.
Node 'W2' (LearnableParameter operation): Initializing Parameter[132 x 512] <- 0.000000.
Node 'W2' (LearnableParameter operation): Initializing Parameter[132 x 512] <- uniform(seed=3, range=0.050000*1.000000, onCPU=false).
Node 'B2' (LearnableParameter operation): Initializing Parameter[132 x 1] <- 0.000000.
Node 'B2' (LearnableParameter operation): Initializing Parameter[132 x 1] <- 0.000000.

Post-processing network...

7 roots:
	CrossEntropyWithSoftmax = CrossEntropyWithSoftmax()
	EvalClassificationError = ClassificationError()
	InvStdOfFeatures = InvStdDev()
	MeanOfFeatures = Mean()
	PosteriorProb = Softmax()
	Prior = Mean()
	ScaledLogLikelihood = Minus()

Validating network. 25 nodes to process in pass 1.

Validating --> labels = InputValue() :  -> [132 x *]
Validating --> W2 = LearnableParameter() :  -> [132 x 512]
Validating --> W1 = LearnableParameter() :  -> [512 x 512]
Validating --> W0 = LearnableParameter() :  -> [512 x 363]
Validating --> features = InputValue() :  -> [363 x *]
Validating --> MeanOfFeatures = Mean (features) : [363 x *] -> [363]
Validating --> InvStdOfFeatures = InvStdDev (features) : [363 x *] -> [363]
Validating --> MVNormalizedFeatures = PerDimMeanVarNormalization (features, MeanOfFeatures, InvStdOfFeatures) : [363 x *], [363], [363] -> [363 x *]
Validating --> W0*features = Times (W0, MVNormalizedFeatures) : [512 x 363], [363 x *] -> [512 x *]
Validating --> B0 = LearnableParameter() :  -> [512 x 1]
Validating --> W0*features+B0 = Plus (W0*features, B0) : [512 x *], [512 x 1] -> [512 x 1 x *]
Validating --> H1 = Sigmoid (W0*features+B0) : [512 x 1 x *] -> [512 x 1 x *]
Validating --> W1*H1 = Times (W1, H1) : [512 x 512], [512 x 1 x *] -> [512 x 1 x *]
Validating --> B1 = LearnableParameter() :  -> [512 x 1]
Validating --> W1*H1+B1 = Plus (W1*H1, B1) : [512 x 1 x *], [512 x 1] -> [512 x 1 x *]
Validating --> H2 = Sigmoid (W1*H1+B1) : [512 x 1 x *] -> [512 x 1 x *]
Validating --> W2*H1 = Times (W2, H2) : [132 x 512], [512 x 1 x *] -> [132 x 1 x *]
Validating --> B2 = LearnableParameter() :  -> [132 x 1]
Validating --> HLast = Plus (W2*H1, B2) : [132 x 1 x *], [132 x 1] -> [132 x 1 x *]
Validating --> CrossEntropyWithSoftmax = CrossEntropyWithSoftmax (labels, HLast) : [132 x *], [132 x 1 x *] -> [1]
Validating --> EvalClassificationError = ClassificationError (labels, HLast) : [132 x *], [132 x 1 x *] -> [1]
Validating --> PosteriorProb = Softmax (HLast) : [132 x 1 x *] -> [132 x 1 x *]
Validating --> Prior = Mean (labels) : [132 x *] -> [132]
Validating --> LogOfPrior = Log (Prior) : [132] -> [132]
Validating --> ScaledLogLikelihood = Minus (HLast, LogOfPrior) : [132 x 1 x *], [132] -> [132 x 1 x *]

Validating network. 17 nodes to process in pass 2.


Validating network, final pass.



12 out of 25 nodes do not share the minibatch layout with the input data.

Post-processing network complete.

08/16/2016 03:20:12: Created model with 25 nodes on CPU.

08/16/2016 03:20:12: Training criterion node(s):
08/16/2016 03:20:12: 	CrossEntropyWithSoftmax = CrossEntropyWithSoftmax

08/16/2016 03:20:12: Evaluation criterion node(s):
08/16/2016 03:20:12: 	EvalClassificationError = ClassificationError


Allocating matrices for forward and/or backward propagation.

Memory Sharing: Out of 40 matrices, 19 are shared as 8, and 21 are not shared.

	{ W0*features+B0 : [512 x 1 x *] (gradient)
	  W1*H1 : [512 x 1 x *] }
	{ W0 : [512 x 363] (gradient)
	  W0*features+B0 : [512 x 1 x *] }
	{ H1 : [512 x 1 x *]
	  W0*features : [512 x *] (gradient) }
	{ W1 : [512 x 512] (gradient)
	  W1*H1+B1 : [512 x 1 x *] }
	{ H2 : [512 x 1 x *]
	  W1*H1 : [512 x 1 x *] (gradient) }
	{ HLast : [132 x 1 x *]
	  W2 : [132 x 512] (gradient) }
	{ B0 : [512 x 1] (gradient)
	  H1 : [512 x 1 x *] (gradient)
	  W1*H1+B1 : [512 x 1 x *] (gradient)
	  W2*H1 : [132 x 1 x *] }
	{ B1 : [512 x 1] (gradient)
	  H2 : [512 x 1 x *] (gradient)
	  HLast : [132 x 1 x *] (gradient) }


08/16/2016 03:20:12: Training 516740 parameters in 6 out of 6 parameter tensors and 15 nodes with gradient:

08/16/2016 03:20:12: 	Node 'B0' (LearnableParameter operation) : [512 x 1]
08/16/2016 03:20:12: 	Node 'B1' (LearnableParameter operation) : [512 x 1]
08/16/2016 03:20:12: 	Node 'B2' (LearnableParameter operation) : [132 x 1]
08/16/2016 03:20:12: 	Node 'W0' (LearnableParameter operation) : [512 x 363]
08/16/2016 03:20:12: 	Node 'W1' (LearnableParameter operation) : [512 x 512]
08/16/2016 03:20:12: 	Node 'W2' (LearnableParameter operation) : [132 x 512]


08/16/2016 03:20:12: Precomputing --> 3 PreCompute nodes found.

08/16/2016 03:20:12: 	MeanOfFeatures = Mean()
08/16/2016 03:20:12: 	InvStdOfFeatures = InvStdDev()
08/16/2016 03:20:12: 	Prior = Mean()
minibatchiterator: epoch 0: frames [0..252734] (first utterance at frame 0), data subset 0 of 1, with 1 datapasses
requiredata: determined feature kind as 33-dimensional 'USER' with frame shift 10.0 ms

08/16/2016 03:20:15: Precomputing --> Completed.


08/16/2016 03:20:15: Starting Epoch 1: learning rate per sample = 0.003906  effective momentum = 0.900000  momentum as time constant = 2429.8 samples
minibatchiterator: epoch 0: frames [0..2048] (first utterance at frame 0), data subset 0 of 1, with 1 datapasses

08/16/2016 03:20:15: Starting minibatch loop, DataParallelSGD training (myRank = 0, numNodes = 1, numGradientBits = 1), distributed reading is ENABLED.
08/16/2016 03:20:15: Finished Epoch[ 1 of 1]: [Training] CrossEntropyWithSoftmax = 4.46427900 * 2048; EvalClassificationError = 0.91259766 * 2048; totalSamplesSeen = 2048; learningRatePerSample = 0.00390625; epochTime=0.28059s
08/16/2016 03:20:15: SGD: Saving checkpoint model 'C:\Users\svcphil\AppData\Local\Temp\cntk-test-20160816031849.416502\Examples\Speech\AN4_FeedForward@release_cpu/Models/cntkSpeechFF.dnn'
08/16/2016 03:20:15: CNTKCommandTrainEnd: speechTrain

08/16/2016 03:20:15: Action "train" complete.

08/16/2016 03:20:15: __COMPLETED__
~MPIWrapper
