CPU info:
    CPU Model Name: Intel(R) Xeon(R) CPU E5-2690 v3 @ 2.60GHz
    Hardware threads: 12
    Total Memory: 57700428 kB
-------------------------------------------------------------------
=== Running mpiexec -n 2 /home/ubuntu/workspace/build/gpu/release/bin/cntk configFile=/home/ubuntu/workspace/Tests/EndToEndTests/Speech/DNN/Parallel1BitQuantizationWithAutoMBScaling/cntk.cntk currentDirectory=/home/ubuntu/workspace/Tests/EndToEndTests/Speech/Data RunDir=/tmp/cntk-test-20171209080859.615414/Speech/DNN_Parallel1BitQuantizationWithAutoMBScaling@release_gpu DataDir=/home/ubuntu/workspace/Tests/EndToEndTests/Speech/Data ConfigDir=/home/ubuntu/workspace/Tests/EndToEndTests/Speech/DNN/Parallel1BitQuantizationWithAutoMBScaling OutputDir=/tmp/cntk-test-20171209080859.615414/Speech/DNN_Parallel1BitQuantizationWithAutoMBScaling@release_gpu DeviceId=0 timestamping=true numCPUThreads=6 stderr=/tmp/cntk-test-20171209080859.615414/Speech/DNN_Parallel1BitQuantizationWithAutoMBScaling@release_gpu/stderr
CNTK 2.3.1+ (HEAD b130d7, Dec  8 2017 01:52:00) at 2017/12/09 11:42:32

/home/ubuntu/workspace/build/gpu/release/bin/cntk  configFile=/home/ubuntu/workspace/Tests/EndToEndTests/Speech/DNN/Parallel1BitQuantizationWithAutoMBScaling/cntk.cntk  currentDirectory=/home/ubuntu/workspace/Tests/EndToEndTests/Speech/Data  RunDir=/tmp/cntk-test-20171209080859.615414/Speech/DNN_Parallel1BitQuantizationWithAutoMBScaling@release_gpu  DataDir=/home/ubuntu/workspace/Tests/EndToEndTests/Speech/Data  ConfigDir=/home/ubuntu/workspace/Tests/EndToEndTests/Speech/DNN/Parallel1BitQuantizationWithAutoMBScaling  OutputDir=/tmp/cntk-test-20171209080859.615414/Speech/DNN_Parallel1BitQuantizationWithAutoMBScaling@release_gpu  DeviceId=0  timestamping=true  numCPUThreads=6  stderr=/tmp/cntk-test-20171209080859.615414/Speech/DNN_Parallel1BitQuantizationWithAutoMBScaling@release_gpu/stderr
CNTK 2.3.1+ (HEAD b130d7, Dec  8 2017 01:52:00) at 2017/12/09 11:42:32

/home/ubuntu/workspace/build/gpu/release/bin/cntk  configFile=/home/ubuntu/workspace/Tests/EndToEndTests/Speech/DNN/Parallel1BitQuantizationWithAutoMBScaling/cntk.cntk  currentDirectory=/home/ubuntu/workspace/Tests/EndToEndTests/Speech/Data  RunDir=/tmp/cntk-test-20171209080859.615414/Speech/DNN_Parallel1BitQuantizationWithAutoMBScaling@release_gpu  DataDir=/home/ubuntu/workspace/Tests/EndToEndTests/Speech/Data  ConfigDir=/home/ubuntu/workspace/Tests/EndToEndTests/Speech/DNN/Parallel1BitQuantizationWithAutoMBScaling  OutputDir=/tmp/cntk-test-20171209080859.615414/Speech/DNN_Parallel1BitQuantizationWithAutoMBScaling@release_gpu  DeviceId=0  timestamping=true  numCPUThreads=6  stderr=/tmp/cntk-test-20171209080859.615414/Speech/DNN_Parallel1BitQuantizationWithAutoMBScaling@release_gpu/stderr
Changed current directory to /home/ubuntu/workspace/Tests/EndToEndTests/Speech/Data
Changed current directory to /home/ubuntu/workspace/Tests/EndToEndTests/Speech/Data
--------------------------------------------------------------------------
[[61465,1],1]: A high-performance Open MPI point-to-point messaging module
was unable to find any relevant network interfaces:

Module: OpenFabrics (openib)
  Host: 4bb8be993ee1

Another transport will be used instead, although this may result in
lower performance.
--------------------------------------------------------------------------
ping [requestnodes (before change)]: 2 nodes pinging each other
ping [requestnodes (before change)]: 2 nodes pinging each other
ping [requestnodes (after change)]: 2 nodes pinging each other
requestnodes [MPIWrapperMpi]: using 2 out of 2 MPI nodes on a single host (2 requested); we (0) are in (participating)
ping [requestnodes (after change)]: 2 nodes pinging each other
requestnodes [MPIWrapperMpi]: using 2 out of 2 MPI nodes on a single host (2 requested); we (1) are in (participating)
ping [mpihelper]: 2 nodes pinging each other
ping [mpihelper]: 2 nodes pinging each other
12/09/2017 11:42:32: Redirecting stderr to file /tmp/cntk-test-20171209080859.615414/Speech/DNN_Parallel1BitQuantizationWithAutoMBScaling@release_gpu/stderr_speechTrain.logrank0
12/09/2017 11:42:33: Redirecting stderr to file /tmp/cntk-test-20171209080859.615414/Speech/DNN_Parallel1BitQuantizationWithAutoMBScaling@release_gpu/stderr_speechTrain.logrank1
[4bb8be993ee1:96010] 1 more process has sent help message help-mpi-btl-base.txt / btl:no-nics
[4bb8be993ee1:96010] Set MCA parameter "orte_base_help_aggregate" to 0 to see all help / error messages
MPI Rank 0: CNTK 2.3.1+ (HEAD b130d7, Dec  8 2017 01:52:00) at 2017/12/09 11:42:32
MPI Rank 0: 
MPI Rank 0: /home/ubuntu/workspace/build/gpu/release/bin/cntk  configFile=/home/ubuntu/workspace/Tests/EndToEndTests/Speech/DNN/Parallel1BitQuantizationWithAutoMBScaling/cntk.cntk  currentDirectory=/home/ubuntu/workspace/Tests/EndToEndTests/Speech/Data  RunDir=/tmp/cntk-test-20171209080859.615414/Speech/DNN_Parallel1BitQuantizationWithAutoMBScaling@release_gpu  DataDir=/home/ubuntu/workspace/Tests/EndToEndTests/Speech/Data  ConfigDir=/home/ubuntu/workspace/Tests/EndToEndTests/Speech/DNN/Parallel1BitQuantizationWithAutoMBScaling  OutputDir=/tmp/cntk-test-20171209080859.615414/Speech/DNN_Parallel1BitQuantizationWithAutoMBScaling@release_gpu  DeviceId=0  timestamping=true  numCPUThreads=6  stderr=/tmp/cntk-test-20171209080859.615414/Speech/DNN_Parallel1BitQuantizationWithAutoMBScaling@release_gpu/stderr
MPI Rank 0: 12/09/2017 11:42:32: -------------------------------------------------------------------
MPI Rank 0: 12/09/2017 11:42:32: Build info: 
MPI Rank 0: 
MPI Rank 0: 12/09/2017 11:42:32: 		Built time: Dec  8 2017 01:46:20
MPI Rank 0: 12/09/2017 11:42:32: 		Last modified date: Wed Nov 15 09:27:10 2017
MPI Rank 0: 12/09/2017 11:42:32: 		Build type: release
MPI Rank 0: 12/09/2017 11:42:32: 		Build target: GPU
MPI Rank 0: 12/09/2017 11:42:32: 		With ASGD: yes
MPI Rank 0: 12/09/2017 11:42:32: 		Math lib: mkl
MPI Rank 0: 12/09/2017 11:42:32: 		CUDA version: 9.0.0
MPI Rank 0: 12/09/2017 11:42:32: 		CUDNN version: 7.0.4
MPI Rank 0: 12/09/2017 11:42:32: 		Build Branch: HEAD
MPI Rank 0: 12/09/2017 11:42:32: 		Build SHA1: b130d7735044ce6697bfb963af91445bee740c73
MPI Rank 0: 12/09/2017 11:42:32: 		MPI distribution: Open MPI
MPI Rank 0: 12/09/2017 11:42:32: 		MPI version: 1.10.7
MPI Rank 0: 12/09/2017 11:42:32: -------------------------------------------------------------------
MPI Rank 0: 12/09/2017 11:42:32: -------------------------------------------------------------------
MPI Rank 0: 12/09/2017 11:42:32: GPU info:
MPI Rank 0: 
MPI Rank 0: 12/09/2017 11:42:32: 		Device[0]: cores = 3072; computeCapability = 5.2; type = "Tesla M60"; total memory = 8123 MB; free memory = 8112 MB
MPI Rank 0: 12/09/2017 11:42:32: -------------------------------------------------------------------
MPI Rank 0: 12/09/2017 11:42:32: Using 6 CPU threads.
MPI Rank 0: 
MPI Rank 0: 12/09/2017 11:42:32: ##############################################################################
MPI Rank 0: 12/09/2017 11:42:32: #                                                                            #
MPI Rank 0: 12/09/2017 11:42:32: # speechTrain command (train action)                                         #
MPI Rank 0: 12/09/2017 11:42:32: #                                                                            #
MPI Rank 0: 12/09/2017 11:42:32: ##############################################################################
MPI Rank 0: 
MPI Rank 0: 12/09/2017 11:42:32: WARNING: 'numMiniBatch4LRSearch' is deprecated, please remove it and use 'numSamples4Search' instead.
MPI Rank 0: 12/09/2017 11:42:32: 
MPI Rank 0: Creating virgin network.
MPI Rank 0: SimpleNetworkBuilder Using GPU 0
MPI Rank 0: reading script file glob_0000.scp ... 948 entries
MPI Rank 0: total 132 state names in state list /home/ubuntu/workspace/Tests/EndToEndTests/Speech/Data/state.list
MPI Rank 0: htkmlfreader: reading MLF file /home/ubuntu/workspace/Tests/EndToEndTests/Speech/Data/glob_0000.mlf ... total 948 entries
MPI Rank 0: ...............................................................................................feature set 0: 252734 frames in 948 out of 948 utterances
MPI Rank 0: label set 0: 129 classes
MPI Rank 0: minibatchutterancesource: 948 utterances grouped into 3 chunks, av. chunk size: 316.0 utterances, 84244.7 frames
MPI Rank 0: 12/09/2017 11:42:32: 
MPI Rank 0: Model has 25 nodes. Using GPU 0.
MPI Rank 0: 
MPI Rank 0: 12/09/2017 11:42:32: Training criterion:   CrossEntropyWithSoftmax = CrossEntropyWithSoftmax
MPI Rank 0: 12/09/2017 11:42:32: Evaluation criterion: EvalClassificationError = ClassificationError
MPI Rank 0: 
MPI Rank 0: 
MPI Rank 0: Allocating matrices for forward and/or backward propagation.
MPI Rank 0: 
MPI Rank 0: Gradient Memory Aliasing: 4 are aliased.
MPI Rank 0: 	W2*H1 (gradient) reuses HLast (gradient)
MPI Rank 0: 	W1*H1 (gradient) reuses W1*H1+B1 (gradient)
MPI Rank 0: 
MPI Rank 0: Memory Sharing: Out of 40 matrices, 21 are shared as 5, and 19 are not shared.
MPI Rank 0: 
MPI Rank 0: Here are the ones that share memory:
MPI Rank 0: 	{ PosteriorProb : [132 x 1 x *]
MPI Rank 0: 	  ScaledLogLikelihood : [132 x 1 x *] }
MPI Rank 0: 	{ HLast : [132 x 1 x *] (gradient)
MPI Rank 0: 	  W0 : [512 x 363] (gradient)
MPI Rank 0: 	  W0*features+B0 : [512 x 1 x *] (gradient)
MPI Rank 0: 	  W1*H1 : [512 x 1 x *] (gradient)
MPI Rank 0: 	  W1*H1+B1 : [512 x 1 x *]
MPI Rank 0: 	  W1*H1+B1 : [512 x 1 x *] (gradient)
MPI Rank 0: 	  W2*H1 : [132 x 1 x *]
MPI Rank 0: 	  W2*H1 : [132 x 1 x *] (gradient) }
MPI Rank 0: 	{ B0 : [512 x 1] (gradient)
MPI Rank 0: 	  H1 : [512 x 1 x *] }
MPI Rank 0: 	{ H2 : [512 x 1 x *]
MPI Rank 0: 	  W0*features+B0 : [512 x 1 x *]
MPI Rank 0: 	  W1 : [512 x 512] (gradient)
MPI Rank 0: 	  W1*H1 : [512 x 1 x *] }
MPI Rank 0: 	{ H1 : [512 x 1 x *] (gradient)
MPI Rank 0: 	  H2 : [512 x 1 x *] (gradient)
MPI Rank 0: 	  HLast : [132 x 1 x *]
MPI Rank 0: 	  W0*features : [512 x *]
MPI Rank 0: 	  W0*features : [512 x *] (gradient) }
MPI Rank 0: 
MPI Rank 0: Here are the ones that don't share memory:
MPI Rank 0: 	{features : [363 x *]}
MPI Rank 0: 	{W0 : [512 x 363]}
MPI Rank 0: 	{MeanOfFeatures : [363]}
MPI Rank 0: 	{InvStdOfFeatures : [363]}
MPI Rank 0: 	{W2 : [132 x 512]}
MPI Rank 0: 	{B2 : [132 x 1]}
MPI Rank 0: 	{labels : [132 x *]}
MPI Rank 0: 	{Prior : [132]}
MPI Rank 0: 	{B0 : [512 x 1]}
MPI Rank 0: 	{W1 : [512 x 512]}
MPI Rank 0: 	{B1 : [512 x 1]}
MPI Rank 0: 	{LogOfPrior : [132]}
MPI Rank 0: 	{EvalClassificationError : [1]}
MPI Rank 0: 	{W2 : [132 x 512] (gradient)}
MPI Rank 0: 	{B2 : [132 x 1] (gradient)}
MPI Rank 0: 	{CrossEntropyWithSoftmax : [1] (gradient)}
MPI Rank 0: 	{MVNormalizedFeatures : [363 x *]}
MPI Rank 0: 	{B1 : [512 x 1] (gradient)}
MPI Rank 0: 	{CrossEntropyWithSoftmax : [1]}
MPI Rank 0: 
MPI Rank 0: 
MPI Rank 0: 12/09/2017 11:42:32: Training 516740 parameters in 6 out of 6 parameter tensors and 15 nodes with gradient:
MPI Rank 0: 
MPI Rank 0: 12/09/2017 11:42:32: 	Node 'B0' (LearnableParameter operation) : [512 x 1]
MPI Rank 0: 12/09/2017 11:42:32: 	Node 'B1' (LearnableParameter operation) : [512 x 1]
MPI Rank 0: 12/09/2017 11:42:32: 	Node 'B2' (LearnableParameter operation) : [132 x 1]
MPI Rank 0: 12/09/2017 11:42:32: 	Node 'W0' (LearnableParameter operation) : [512 x 363]
MPI Rank 0: 12/09/2017 11:42:32: 	Node 'W1' (LearnableParameter operation) : [512 x 512]
MPI Rank 0: 12/09/2017 11:42:32: 	Node 'W2' (LearnableParameter operation) : [132 x 512]
MPI Rank 0: 
MPI Rank 0: Initializing dataParallelSGD for 2-bit quantization.
MPI Rank 0: 
MPI Rank 0: 12/09/2017 11:42:32: Precomputing --> 3 PreCompute nodes found.
MPI Rank 0: 
MPI Rank 0: 12/09/2017 11:42:32: 	MeanOfFeatures = Mean()
MPI Rank 0: 12/09/2017 11:42:32: 	InvStdOfFeatures = InvStdDev()
MPI Rank 0: 12/09/2017 11:42:32: 	Prior = Mean()
MPI Rank 0: minibatchiterator: epoch 0: frames [0..252734] (first utterance at frame 0), data subset 0 of 1, with 1 datapasses
MPI Rank 0: requiredata: determined feature kind as 33-dimensional 'USER' with frame shift 10.0 ms
MPI Rank 0: 
MPI Rank 0: 12/09/2017 11:42:34: Precomputing --> Completed.
MPI Rank 0: 
MPI Rank 0: 
MPI Rank 0: 12/09/2017 11:42:34: Starting Epoch 1: learning rate per sample = 0.001953  effective momentum = 0.939413  momentum as time constant = 1024.0 samples
MPI Rank 0: minibatchiterator: epoch 0: frames [0..81920] (first utterance at frame 0), data subset 0 of 2, with 1 datapasses
MPI Rank 0: 
MPI Rank 0: 12/09/2017 11:42:34: Starting minibatch loop, DataParallelSGD training (myRank = 0, numNodes = 2, numGradientBits = 2), distributed reading is ENABLED.
MPI Rank 0: 12/09/2017 11:42:34:  Epoch[ 1 of 3]-Minibatch[   1-  10, 0.78%]: CrossEntropyWithSoftmax = 4.73732304 * 640; EvalClassificationError = 0.96718750 * 640; time = 0.0563s; samplesPerSecond = 11364.3
MPI Rank 0: 12/09/2017 11:42:34:  Epoch[ 1 of 3]-Minibatch[  11-  20, 1.56%]: CrossEntropyWithSoftmax = 4.37245658 * 640; EvalClassificationError = 0.92187500 * 640; time = 0.0528s; samplesPerSecond = 12122.8
MPI Rank 0: 12/09/2017 11:42:34:  Epoch[ 1 of 3]-Minibatch[  21-  30, 2.34%]: CrossEntropyWithSoftmax = 4.17410438 * 640; EvalClassificationError = 0.95937500 * 640; time = 0.0530s; samplesPerSecond = 12079.1
MPI Rank 0: 12/09/2017 11:42:34:  Epoch[ 1 of 3]-Minibatch[  31-  40, 3.12%]: CrossEntropyWithSoftmax = 3.88445939 * 640; EvalClassificationError = 0.86093750 * 640; time = 0.0532s; samplesPerSecond = 12025.4
MPI Rank 0: 12/09/2017 11:42:34:  Epoch[ 1 of 3]-Minibatch[  41-  50, 3.91%]: CrossEntropyWithSoftmax = 4.05583056 * 640; EvalClassificationError = 0.89375000 * 640; time = 0.0528s; samplesPerSecond = 12119.1
MPI Rank 0: 12/09/2017 11:42:34:  Epoch[ 1 of 3]-Minibatch[  51-  60, 4.69%]: CrossEntropyWithSoftmax = 3.94301179 * 640; EvalClassificationError = 0.86250000 * 640; time = 0.0528s; samplesPerSecond = 12119.6
MPI Rank 0: 12/09/2017 11:42:34:  Epoch[ 1 of 3]-Minibatch[  61-  70, 5.47%]: CrossEntropyWithSoftmax = 3.80690392 * 640; EvalClassificationError = 0.85937500 * 640; time = 0.0525s; samplesPerSecond = 12192.7
MPI Rank 0: 12/09/2017 11:42:34:  Epoch[ 1 of 3]-Minibatch[  71-  80, 6.25%]: CrossEntropyWithSoftmax = 3.92014544 * 640; EvalClassificationError = 0.87812500 * 640; time = 0.0527s; samplesPerSecond = 12153.8
MPI Rank 0: 12/09/2017 11:42:35:  Epoch[ 1 of 3]-Minibatch[  81-  90, 7.03%]: CrossEntropyWithSoftmax = 3.97161496 * 640; EvalClassificationError = 0.87968750 * 640; time = 0.0528s; samplesPerSecond = 12110.7
MPI Rank 0: 12/09/2017 11:42:35:  Epoch[ 1 of 3]-Minibatch[  91- 100, 7.81%]: CrossEntropyWithSoftmax = 3.93678341 * 640; EvalClassificationError = 0.90937500 * 640; time = 0.0530s; samplesPerSecond = 12068.5
MPI Rank 0: 12/09/2017 11:42:35:  Epoch[ 1 of 3]-Minibatch[ 101- 110, 8.59%]: CrossEntropyWithSoftmax = 4.05170333 * 640; EvalClassificationError = 0.92187500 * 640; time = 0.0529s; samplesPerSecond = 12098.5
MPI Rank 0: 12/09/2017 11:42:35:  Epoch[ 1 of 3]-Minibatch[ 111- 120, 9.38%]: CrossEntropyWithSoftmax = 3.89920006 * 640; EvalClassificationError = 0.86406250 * 640; time = 0.0531s; samplesPerSecond = 12055.4
MPI Rank 0: 12/09/2017 11:42:35:  Epoch[ 1 of 3]-Minibatch[ 121- 130, 10.16%]: CrossEntropyWithSoftmax = 3.87251777 * 640; EvalClassificationError = 0.89218750 * 640; time = 0.0525s; samplesPerSecond = 12183.6
MPI Rank 0: 12/09/2017 11:42:35:  Epoch[ 1 of 3]-Minibatch[ 131- 140, 10.94%]: CrossEntropyWithSoftmax = 3.81997390 * 640; EvalClassificationError = 0.88281250 * 640; time = 0.0521s; samplesPerSecond = 12272.8
MPI Rank 0: 12/09/2017 11:42:35:  Epoch[ 1 of 3]-Minibatch[ 141- 150, 11.72%]: CrossEntropyWithSoftmax = 3.80472357 * 640; EvalClassificationError = 0.88125000 * 640; time = 0.0527s; samplesPerSecond = 12132.9
MPI Rank 0: 12/09/2017 11:42:35:  Epoch[ 1 of 3]-Minibatch[ 151- 160, 12.50%]: CrossEntropyWithSoftmax = 3.94102783 * 640; EvalClassificationError = 0.88750000 * 640; time = 0.0528s; samplesPerSecond = 12118.8
MPI Rank 0: 12/09/2017 11:42:35:  Epoch[ 1 of 3]-Minibatch[ 161- 170, 13.28%]: CrossEntropyWithSoftmax = 3.82146217 * 640; EvalClassificationError = 0.87656250 * 640; time = 0.0529s; samplesPerSecond = 12104.5
MPI Rank 0: 12/09/2017 11:42:35:  Epoch[ 1 of 3]-Minibatch[ 171- 180, 14.06%]: CrossEntropyWithSoftmax = 3.75252040 * 640; EvalClassificationError = 0.85312500 * 640; time = 0.0530s; samplesPerSecond = 12084.0
MPI Rank 0: 12/09/2017 11:42:35:  Epoch[ 1 of 3]-Minibatch[ 181- 190, 14.84%]: CrossEntropyWithSoftmax = 3.79666334 * 640; EvalClassificationError = 0.86562500 * 640; time = 0.0529s; samplesPerSecond = 12108.2
MPI Rank 0: 12/09/2017 11:42:35:  Epoch[ 1 of 3]-Minibatch[ 191- 200, 15.62%]: CrossEntropyWithSoftmax = 3.73933957 * 640; EvalClassificationError = 0.87343750 * 640; time = 0.0525s; samplesPerSecond = 12190.2
MPI Rank 0: 12/09/2017 11:42:35:  Epoch[ 1 of 3]-Minibatch[ 201- 210, 16.41%]: CrossEntropyWithSoftmax = 3.73524601 * 640; EvalClassificationError = 0.86406250 * 640; time = 0.0527s; samplesPerSecond = 12141.7
MPI Rank 0: 12/09/2017 11:42:35:  Epoch[ 1 of 3]-Minibatch[ 211- 220, 17.19%]: CrossEntropyWithSoftmax = 3.72390189 * 640; EvalClassificationError = 0.85937500 * 640; time = 0.0524s; samplesPerSecond = 12220.2
MPI Rank 0: 12/09/2017 11:42:35:  Epoch[ 1 of 3]-Minibatch[ 221- 230, 17.97%]: CrossEntropyWithSoftmax = 3.71619884 * 640; EvalClassificationError = 0.84218750 * 640; time = 0.0528s; samplesPerSecond = 12123.3
MPI Rank 0: 12/09/2017 11:42:35:  Epoch[ 1 of 3]-Minibatch[ 231- 240, 18.75%]: CrossEntropyWithSoftmax = 3.75567826 * 640; EvalClassificationError = 0.83437500 * 640; time = 0.0530s; samplesPerSecond = 12084.2
MPI Rank 0: 12/09/2017 11:42:35:  Epoch[ 1 of 3]-Minibatch[ 241- 250, 19.53%]: CrossEntropyWithSoftmax = 3.72026418 * 640; EvalClassificationError = 0.85000000 * 640; time = 0.0528s; samplesPerSecond = 12118.7
MPI Rank 0: 12/09/2017 11:42:35:  Epoch[ 1 of 3]-Minibatch[ 251- 260, 20.31%]: CrossEntropyWithSoftmax = 3.66348241 * 640; EvalClassificationError = 0.83906250 * 640; time = 0.0552s; samplesPerSecond = 11598.7
MPI Rank 0: 12/09/2017 11:42:35:  Epoch[ 1 of 3]-Minibatch[ 261- 270, 21.09%]: CrossEntropyWithSoftmax = 3.58404577 * 640; EvalClassificationError = 0.77656250 * 640; time = 0.0524s; samplesPerSecond = 12206.6
MPI Rank 0: 12/09/2017 11:42:36:  Epoch[ 1 of 3]-Minibatch[ 271- 280, 21.88%]: CrossEntropyWithSoftmax = 3.69356028 * 640; EvalClassificationError = 0.80781250 * 640; time = 0.0534s; samplesPerSecond = 11974.0
MPI Rank 0: 12/09/2017 11:42:36:  Epoch[ 1 of 3]-Minibatch[ 281- 290, 22.66%]: CrossEntropyWithSoftmax = 3.57770862 * 640; EvalClassificationError = 0.79062500 * 640; time = 0.0529s; samplesPerSecond = 12107.4
MPI Rank 0: 12/09/2017 11:42:36:  Epoch[ 1 of 3]-Minibatch[ 291- 300, 23.44%]: CrossEntropyWithSoftmax = 3.52795781 * 640; EvalClassificationError = 0.81875000 * 640; time = 0.0528s; samplesPerSecond = 12122.0
MPI Rank 0: 12/09/2017 11:42:36:  Epoch[ 1 of 3]-Minibatch[ 301- 310, 24.22%]: CrossEntropyWithSoftmax = 3.53488491 * 640; EvalClassificationError = 0.81718750 * 640; time = 0.0528s; samplesPerSecond = 12118.7
MPI Rank 0: 12/09/2017 11:42:36:  Epoch[ 1 of 3]-Minibatch[ 311- 320, 25.00%]: CrossEntropyWithSoftmax = 3.50003454 * 640; EvalClassificationError = 0.79375000 * 640; time = 0.0528s; samplesPerSecond = 12114.6
MPI Rank 0: 12/09/2017 11:42:36:  Epoch[ 1 of 3]-Minibatch[ 321- 330, 25.78%]: CrossEntropyWithSoftmax = 3.37879609 * 640; EvalClassificationError = 0.79687500 * 640; time = 0.0530s; samplesPerSecond = 12077.0
MPI Rank 0: 12/09/2017 11:42:36:  Epoch[ 1 of 3]-Minibatch[ 331- 340, 26.56%]: CrossEntropyWithSoftmax = 3.44225555 * 640; EvalClassificationError = 0.79062500 * 640; time = 0.0528s; samplesPerSecond = 12130.1
MPI Rank 0: 12/09/2017 11:42:36:  Epoch[ 1 of 3]-Minibatch[ 341- 350, 27.34%]: CrossEntropyWithSoftmax = 3.49483132 * 640; EvalClassificationError = 0.80156250 * 640; time = 0.0528s; samplesPerSecond = 12115.6
MPI Rank 0: 12/09/2017 11:42:36:  Epoch[ 1 of 3]-Minibatch[ 351- 360, 28.12%]: CrossEntropyWithSoftmax = 3.42687218 * 640; EvalClassificationError = 0.80468750 * 640; time = 0.0518s; samplesPerSecond = 12363.3
MPI Rank 0: 12/09/2017 11:42:36:  Epoch[ 1 of 3]-Minibatch[ 361- 370, 28.91%]: CrossEntropyWithSoftmax = 3.49844130 * 640; EvalClassificationError = 0.82500000 * 640; time = 0.0529s; samplesPerSecond = 12091.7
MPI Rank 0: 12/09/2017 11:42:36:  Epoch[ 1 of 3]-Minibatch[ 371- 380, 29.69%]: CrossEntropyWithSoftmax = 3.18573058 * 640; EvalClassificationError = 0.75468750 * 640; time = 0.0528s; samplesPerSecond = 12125.3
MPI Rank 0: 12/09/2017 11:42:36:  Epoch[ 1 of 3]-Minibatch[ 381- 390, 30.47%]: CrossEntropyWithSoftmax = 3.31421136 * 640; EvalClassificationError = 0.79375000 * 640; time = 0.0529s; samplesPerSecond = 12095.0
MPI Rank 0: 12/09/2017 11:42:36:  Epoch[ 1 of 3]-Minibatch[ 391- 400, 31.25%]: CrossEntropyWithSoftmax = 3.27767395 * 640; EvalClassificationError = 0.77656250 * 640; time = 0.0530s; samplesPerSecond = 12080.2
MPI Rank 0: 12/09/2017 11:42:36:  Epoch[ 1 of 3]-Minibatch[ 401- 410, 32.03%]: CrossEntropyWithSoftmax = 3.42261405 * 640; EvalClassificationError = 0.80312500 * 640; time = 0.0530s; samplesPerSecond = 12082.6
MPI Rank 0: 12/09/2017 11:42:36:  Epoch[ 1 of 3]-Minibatch[ 411- 420, 32.81%]: CrossEntropyWithSoftmax = 3.28001084 * 640; EvalClassificationError = 0.75937500 * 640; time = 0.0530s; samplesPerSecond = 12071.5
MPI Rank 0: 12/09/2017 11:42:36:  Epoch[ 1 of 3]-Minibatch[ 421- 430, 33.59%]: CrossEntropyWithSoftmax = 3.23898632 * 640; EvalClassificationError = 0.78281250 * 640; time = 0.0526s; samplesPerSecond = 12177.3
MPI Rank 0: 12/09/2017 11:42:36:  Epoch[ 1 of 3]-Minibatch[ 431- 440, 34.38%]: CrossEntropyWithSoftmax = 3.13414193 * 640; EvalClassificationError = 0.75781250 * 640; time = 0.0526s; samplesPerSecond = 12162.5
MPI Rank 0: 12/09/2017 11:42:36:  Epoch[ 1 of 3]-Minibatch[ 441- 450, 35.16%]: CrossEntropyWithSoftmax = 3.18551320 * 640; EvalClassificationError = 0.74062500 * 640; time = 0.0527s; samplesPerSecond = 12144.0
MPI Rank 0: 12/09/2017 11:42:36:  Epoch[ 1 of 3]-Minibatch[ 451- 460, 35.94%]: CrossEntropyWithSoftmax = 3.23495251 * 640; EvalClassificationError = 0.77187500 * 640; time = 0.0528s; samplesPerSecond = 12128.6
MPI Rank 0: 12/09/2017 11:42:37:  Epoch[ 1 of 3]-Minibatch[ 461- 470, 36.72%]: CrossEntropyWithSoftmax = 3.19186023 * 640; EvalClassificationError = 0.77812500 * 640; time = 0.0528s; samplesPerSecond = 12121.8
MPI Rank 0: 12/09/2017 11:42:37:  Epoch[ 1 of 3]-Minibatch[ 471- 480, 37.50%]: CrossEntropyWithSoftmax = 3.16573416 * 640; EvalClassificationError = 0.73906250 * 640; time = 0.0525s; samplesPerSecond = 12196.2
MPI Rank 0: 12/09/2017 11:42:37:  Epoch[ 1 of 3]-Minibatch[ 481- 490, 38.28%]: CrossEntropyWithSoftmax = 3.24987471 * 640; EvalClassificationError = 0.77500000 * 640; time = 0.0525s; samplesPerSecond = 12181.8
MPI Rank 0: 12/09/2017 11:42:37:  Epoch[ 1 of 3]-Minibatch[ 491- 500, 39.06%]: CrossEntropyWithSoftmax = 3.18547307 * 640; EvalClassificationError = 0.76406250 * 640; time = 0.0531s; samplesPerSecond = 12047.3
MPI Rank 0: 12/09/2017 11:42:37:  Epoch[ 1 of 3]-Minibatch[ 501- 510, 39.84%]: CrossEntropyWithSoftmax = 2.98390642 * 640; EvalClassificationError = 0.72187500 * 640; time = 0.0528s; samplesPerSecond = 12131.0
MPI Rank 0: 12/09/2017 11:42:37:  Epoch[ 1 of 3]-Minibatch[ 511- 520, 40.62%]: CrossEntropyWithSoftmax = 3.14694612 * 640; EvalClassificationError = 0.73125000 * 640; time = 0.0524s; samplesPerSecond = 12215.4
MPI Rank 0: 12/09/2017 11:42:37:  Epoch[ 1 of 3]-Minibatch[ 521- 530, 41.41%]: CrossEntropyWithSoftmax = 3.08207178 * 640; EvalClassificationError = 0.72343750 * 640; time = 0.0526s; samplesPerSecond = 12161.2
MPI Rank 0: 12/09/2017 11:42:37:  Epoch[ 1 of 3]-Minibatch[ 531- 540, 42.19%]: CrossEntropyWithSoftmax = 2.93988796 * 640; EvalClassificationError = 0.70468750 * 640; time = 0.0524s; samplesPerSecond = 12221.6
MPI Rank 0: 12/09/2017 11:42:37:  Epoch[ 1 of 3]-Minibatch[ 541- 550, 42.97%]: CrossEntropyWithSoftmax = 3.02200056 * 640; EvalClassificationError = 0.72968750 * 640; time = 0.0529s; samplesPerSecond = 12089.0
MPI Rank 0: 12/09/2017 11:42:37:  Epoch[ 1 of 3]-Minibatch[ 551- 560, 43.75%]: CrossEntropyWithSoftmax = 2.95502751 * 640; EvalClassificationError = 0.71250000 * 640; time = 0.0530s; samplesPerSecond = 12079.6
MPI Rank 0: 12/09/2017 11:42:37:  Epoch[ 1 of 3]-Minibatch[ 561- 570, 44.53%]: CrossEntropyWithSoftmax = 2.95814153 * 640; EvalClassificationError = 0.72812500 * 640; time = 0.0532s; samplesPerSecond = 12040.1
MPI Rank 0: 12/09/2017 11:42:37:  Epoch[ 1 of 3]-Minibatch[ 571- 580, 45.31%]: CrossEntropyWithSoftmax = 3.00759179 * 640; EvalClassificationError = 0.72656250 * 640; time = 0.0528s; samplesPerSecond = 12130.3
MPI Rank 0: 12/09/2017 11:42:37:  Epoch[ 1 of 3]-Minibatch[ 581- 590, 46.09%]: CrossEntropyWithSoftmax = 3.00141816 * 640; EvalClassificationError = 0.72968750 * 640; time = 0.0528s; samplesPerSecond = 12130.0
MPI Rank 0: 12/09/2017 11:42:37:  Epoch[ 1 of 3]-Minibatch[ 591- 600, 46.88%]: CrossEntropyWithSoftmax = 2.91937031 * 640; EvalClassificationError = 0.70468750 * 640; time = 0.0526s; samplesPerSecond = 12158.1
MPI Rank 0: 12/09/2017 11:42:37:  Epoch[ 1 of 3]-Minibatch[ 601- 610, 47.66%]: CrossEntropyWithSoftmax = 3.00608743 * 640; EvalClassificationError = 0.73593750 * 640; time = 0.0529s; samplesPerSecond = 12088.0
MPI Rank 0: 12/09/2017 11:42:37:  Epoch[ 1 of 3]-Minibatch[ 611- 620, 48.44%]: CrossEntropyWithSoftmax = 2.93806187 * 640; EvalClassificationError = 0.70625000 * 640; time = 0.0527s; samplesPerSecond = 12150.2
MPI Rank 0: 12/09/2017 11:42:37:  Epoch[ 1 of 3]-Minibatch[ 621- 630, 49.22%]: CrossEntropyWithSoftmax = 2.97059948 * 640; EvalClassificationError = 0.74531250 * 640; time = 0.0530s; samplesPerSecond = 12072.9
MPI Rank 0: 12/09/2017 11:42:37:  Epoch[ 1 of 3]-Minibatch[ 631- 640, 50.00%]: CrossEntropyWithSoftmax = 2.86116269 * 640; EvalClassificationError = 0.67812500 * 640; time = 0.0525s; samplesPerSecond = 12189.4
MPI Rank 0: 12/09/2017 11:42:37:  Epoch[ 1 of 3]-Minibatch[ 641- 650, 50.78%]: CrossEntropyWithSoftmax = 2.88066852 * 640; EvalClassificationError = 0.71093750 * 640; time = 0.0526s; samplesPerSecond = 12158.2
MPI Rank 0: 12/09/2017 11:42:38:  Epoch[ 1 of 3]-Minibatch[ 651- 660, 51.56%]: CrossEntropyWithSoftmax = 2.90412534 * 640; EvalClassificationError = 0.71718750 * 640; time = 0.0530s; samplesPerSecond = 12067.4
MPI Rank 0: 12/09/2017 11:42:38:  Epoch[ 1 of 3]-Minibatch[ 661- 670, 52.34%]: CrossEntropyWithSoftmax = 2.82632920 * 640; EvalClassificationError = 0.70781250 * 640; time = 0.0529s; samplesPerSecond = 12097.7
MPI Rank 0: 12/09/2017 11:42:38:  Epoch[ 1 of 3]-Minibatch[ 671- 680, 53.12%]: CrossEntropyWithSoftmax = 2.86526345 * 640; EvalClassificationError = 0.67187500 * 640; time = 0.0530s; samplesPerSecond = 12086.3
MPI Rank 0: 12/09/2017 11:42:38:  Epoch[ 1 of 3]-Minibatch[ 681- 690, 53.91%]: CrossEntropyWithSoftmax = 2.82685093 * 640; EvalClassificationError = 0.70312500 * 640; time = 0.0523s; samplesPerSecond = 12226.7
MPI Rank 0: 12/09/2017 11:42:38:  Epoch[ 1 of 3]-Minibatch[ 691- 700, 54.69%]: CrossEntropyWithSoftmax = 2.69773567 * 640; EvalClassificationError = 0.68281250 * 640; time = 0.0529s; samplesPerSecond = 12106.4
MPI Rank 0: 12/09/2017 11:42:38:  Epoch[ 1 of 3]-Minibatch[ 701- 710, 55.47%]: CrossEntropyWithSoftmax = 2.74307267 * 640; EvalClassificationError = 0.66406250 * 640; time = 0.0527s; samplesPerSecond = 12136.1
MPI Rank 0: 12/09/2017 11:42:38:  Epoch[ 1 of 3]-Minibatch[ 711- 720, 56.25%]: CrossEntropyWithSoftmax = 2.79722639 * 640; EvalClassificationError = 0.71093750 * 640; time = 0.0524s; samplesPerSecond = 12205.1
MPI Rank 0: 12/09/2017 11:42:38:  Epoch[ 1 of 3]-Minibatch[ 721- 730, 57.03%]: CrossEntropyWithSoftmax = 2.68856544 * 640; EvalClassificationError = 0.67968750 * 640; time = 0.0526s; samplesPerSecond = 12170.9
MPI Rank 0: 12/09/2017 11:42:38:  Epoch[ 1 of 3]-Minibatch[ 731- 740, 57.81%]: CrossEntropyWithSoftmax = 2.76508377 * 640; EvalClassificationError = 0.68281250 * 640; time = 0.0527s; samplesPerSecond = 12154.7
MPI Rank 0: 12/09/2017 11:42:38:  Epoch[ 1 of 3]-Minibatch[ 741- 750, 58.59%]: CrossEntropyWithSoftmax = 2.77343041 * 640; EvalClassificationError = 0.67968750 * 640; time = 0.0528s; samplesPerSecond = 12115.8
MPI Rank 0: 12/09/2017 11:42:38:  Epoch[ 1 of 3]-Minibatch[ 751- 760, 59.38%]: CrossEntropyWithSoftmax = 2.71083766 * 640; EvalClassificationError = 0.68281250 * 640; time = 0.0531s; samplesPerSecond = 12057.0
MPI Rank 0: 12/09/2017 11:42:38:  Epoch[ 1 of 3]-Minibatch[ 761- 770, 60.16%]: CrossEntropyWithSoftmax = 2.78835862 * 640; EvalClassificationError = 0.66093750 * 640; time = 0.0522s; samplesPerSecond = 12260.5
MPI Rank 0: 12/09/2017 11:42:38:  Epoch[ 1 of 3]-Minibatch[ 771- 780, 60.94%]: CrossEntropyWithSoftmax = 2.78429500 * 640; EvalClassificationError = 0.68125000 * 640; time = 0.0531s; samplesPerSecond = 12041.6
MPI Rank 0: 12/09/2017 11:42:38:  Epoch[ 1 of 3]-Minibatch[ 781- 790, 61.72%]: CrossEntropyWithSoftmax = 2.72074567 * 640; EvalClassificationError = 0.67031250 * 640; time = 0.0527s; samplesPerSecond = 12140.2
MPI Rank 0: 12/09/2017 11:42:38:  Epoch[ 1 of 3]-Minibatch[ 791- 800, 62.50%]: CrossEntropyWithSoftmax = 2.70358932 * 640; EvalClassificationError = 0.64062500 * 640; time = 0.0526s; samplesPerSecond = 12162.8
MPI Rank 0: 12/09/2017 11:42:38:  Epoch[ 1 of 3]-Minibatch[ 801- 810, 63.28%]: CrossEntropyWithSoftmax = 2.70896130 * 640; EvalClassificationError = 0.67031250 * 640; time = 0.0524s; samplesPerSecond = 12204.1
MPI Rank 0: 12/09/2017 11:42:38:  Epoch[ 1 of 3]-Minibatch[ 811- 820, 64.06%]: CrossEntropyWithSoftmax = 2.67622174 * 640; EvalClassificationError = 0.66718750 * 640; time = 0.0526s; samplesPerSecond = 12163.7
MPI Rank 0: 12/09/2017 11:42:38:  Epoch[ 1 of 3]-Minibatch[ 821- 830, 64.84%]: CrossEntropyWithSoftmax = 2.53188155 * 640; EvalClassificationError = 0.63125000 * 640; time = 0.0529s; samplesPerSecond = 12098.8
MPI Rank 0: 12/09/2017 11:42:38:  Epoch[ 1 of 3]-Minibatch[ 831- 840, 65.62%]: CrossEntropyWithSoftmax = 2.63309909 * 640; EvalClassificationError = 0.66406250 * 640; time = 0.0529s; samplesPerSecond = 12104.4
MPI Rank 0: 12/09/2017 11:42:39:  Epoch[ 1 of 3]-Minibatch[ 841- 850, 66.41%]: CrossEntropyWithSoftmax = 2.65913442 * 640; EvalClassificationError = 0.65312500 * 640; time = 0.0528s; samplesPerSecond = 12111.3
MPI Rank 0: 12/09/2017 11:42:39:  Epoch[ 1 of 3]-Minibatch[ 851- 860, 67.19%]: CrossEntropyWithSoftmax = 2.58953886 * 640; EvalClassificationError = 0.66718750 * 640; time = 0.0528s; samplesPerSecond = 12122.0
MPI Rank 0: 12/09/2017 11:42:39:  Epoch[ 1 of 3]-Minibatch[ 861- 870, 67.97%]: CrossEntropyWithSoftmax = 2.72909868 * 640; EvalClassificationError = 0.67812500 * 640; time = 0.0526s; samplesPerSecond = 12178.4
MPI Rank 0: 12/09/2017 11:42:39:  Epoch[ 1 of 3]-Minibatch[ 871- 880, 68.75%]: CrossEntropyWithSoftmax = 2.66274742 * 640; EvalClassificationError = 0.66250000 * 640; time = 0.0528s; samplesPerSecond = 12127.0
MPI Rank 0: 12/09/2017 11:42:39:  Epoch[ 1 of 3]-Minibatch[ 881- 890, 69.53%]: CrossEntropyWithSoftmax = 2.52907443 * 640; EvalClassificationError = 0.65937500 * 640; time = 0.0530s; samplesPerSecond = 12084.1
MPI Rank 0: 12/09/2017 11:42:39:  Epoch[ 1 of 3]-Minibatch[ 891- 900, 70.31%]: CrossEntropyWithSoftmax = 2.62181215 * 640; EvalClassificationError = 0.65625000 * 640; time = 0.0530s; samplesPerSecond = 12071.3
MPI Rank 0: 12/09/2017 11:42:39:  Epoch[ 1 of 3]-Minibatch[ 901- 910, 71.09%]: CrossEntropyWithSoftmax = 2.55523654 * 640; EvalClassificationError = 0.66093750 * 640; time = 0.0524s; samplesPerSecond = 12215.9
MPI Rank 0: 12/09/2017 11:42:39:  Epoch[ 1 of 3]-Minibatch[ 911- 920, 71.88%]: CrossEntropyWithSoftmax = 2.55080783 * 640; EvalClassificationError = 0.64531250 * 640; time = 0.0531s; samplesPerSecond = 12055.4
MPI Rank 0: 12/09/2017 11:42:39:  Epoch[ 1 of 3]-Minibatch[ 921- 930, 72.66%]: CrossEntropyWithSoftmax = 2.59909660 * 640; EvalClassificationError = 0.65625000 * 640; time = 0.0527s; samplesPerSecond = 12141.2
MPI Rank 0: 12/09/2017 11:42:39:  Epoch[ 1 of 3]-Minibatch[ 931- 940, 73.44%]: CrossEntropyWithSoftmax = 2.54339904 * 640; EvalClassificationError = 0.62343750 * 640; time = 0.0525s; samplesPerSecond = 12190.2
MPI Rank 0: 12/09/2017 11:42:39:  Epoch[ 1 of 3]-Minibatch[ 941- 950, 74.22%]: CrossEntropyWithSoftmax = 2.48494906 * 640; EvalClassificationError = 0.63593750 * 640; time = 0.0527s; samplesPerSecond = 12135.4
MPI Rank 0: 12/09/2017 11:42:39:  Epoch[ 1 of 3]-Minibatch[ 951- 960, 75.00%]: CrossEntropyWithSoftmax = 2.53011571 * 640; EvalClassificationError = 0.63750000 * 640; time = 0.0525s; samplesPerSecond = 12180.3
MPI Rank 0: 12/09/2017 11:42:39:  Epoch[ 1 of 3]-Minibatch[ 961- 970, 75.78%]: CrossEntropyWithSoftmax = 2.35377377 * 640; EvalClassificationError = 0.60468750 * 640; time = 0.0527s; samplesPerSecond = 12143.7
MPI Rank 0: 12/09/2017 11:42:39:  Epoch[ 1 of 3]-Minibatch[ 971- 980, 76.56%]: CrossEntropyWithSoftmax = 2.54765224 * 640; EvalClassificationError = 0.64218750 * 640; time = 0.0528s; samplesPerSecond = 12119.5
MPI Rank 0: 12/09/2017 11:42:39:  Epoch[ 1 of 3]-Minibatch[ 981- 990, 77.34%]: CrossEntropyWithSoftmax = 2.45433270 * 640; EvalClassificationError = 0.63750000 * 640; time = 0.0529s; samplesPerSecond = 12087.6
MPI Rank 0: 12/09/2017 11:42:39:  Epoch[ 1 of 3]-Minibatch[ 991-1000, 78.12%]: CrossEntropyWithSoftmax = 2.42568393 * 640; EvalClassificationError = 0.60468750 * 640; time = 0.0529s; samplesPerSecond = 12096.1
MPI Rank 0: 12/09/2017 11:42:39:  Epoch[ 1 of 3]-Minibatch[1001-1010, 78.91%]: CrossEntropyWithSoftmax = 2.37559979 * 640; EvalClassificationError = 0.61250000 * 640; time = 0.0528s; samplesPerSecond = 12122.4
MPI Rank 0: 12/09/2017 11:42:39:  Epoch[ 1 of 3]-Minibatch[1011-1020, 79.69%]: CrossEntropyWithSoftmax = 2.35918964 * 640; EvalClassificationError = 0.59218750 * 640; time = 0.0527s; samplesPerSecond = 12137.1
MPI Rank 0: 12/09/2017 11:42:39:  Epoch[ 1 of 3]-Minibatch[1021-1030, 80.47%]: CrossEntropyWithSoftmax = 2.36172586 * 640; EvalClassificationError = 0.60781250 * 640; time = 0.0524s; samplesPerSecond = 12212.1
MPI Rank 0: 12/09/2017 11:42:40:  Epoch[ 1 of 3]-Minibatch[1031-1040, 81.25%]: CrossEntropyWithSoftmax = 2.33330234 * 640; EvalClassificationError = 0.57343750 * 640; time = 0.0530s; samplesPerSecond = 12082.3
MPI Rank 0: 12/09/2017 11:42:40:  Epoch[ 1 of 3]-Minibatch[1041-1050, 82.03%]: CrossEntropyWithSoftmax = 2.44944355 * 640; EvalClassificationError = 0.61875000 * 640; time = 0.0527s; samplesPerSecond = 12139.2
MPI Rank 0: 12/09/2017 11:42:40:  Epoch[ 1 of 3]-Minibatch[1051-1060, 82.81%]: CrossEntropyWithSoftmax = 2.31629827 * 640; EvalClassificationError = 0.58437500 * 640; time = 0.0529s; samplesPerSecond = 12107.7
MPI Rank 0: 12/09/2017 11:42:40:  Epoch[ 1 of 3]-Minibatch[1061-1070, 83.59%]: CrossEntropyWithSoftmax = 2.32155369 * 640; EvalClassificationError = 0.60781250 * 640; time = 0.0526s; samplesPerSecond = 12172.7
MPI Rank 0: 12/09/2017 11:42:40:  Epoch[ 1 of 3]-Minibatch[1071-1080, 84.38%]: CrossEntropyWithSoftmax = 2.48531052 * 640; EvalClassificationError = 0.63437500 * 640; time = 0.0527s; samplesPerSecond = 12134.5
MPI Rank 0: 12/09/2017 11:42:40:  Epoch[ 1 of 3]-Minibatch[1081-1090, 85.16%]: CrossEntropyWithSoftmax = 2.35597724 * 640; EvalClassificationError = 0.61250000 * 640; time = 0.0526s; samplesPerSecond = 12173.1
MPI Rank 0: 12/09/2017 11:42:40:  Epoch[ 1 of 3]-Minibatch[1091-1100, 85.94%]: CrossEntropyWithSoftmax = 2.38033708 * 640; EvalClassificationError = 0.62812500 * 640; time = 0.0528s; samplesPerSecond = 12116.8
MPI Rank 0: 12/09/2017 11:42:40:  Epoch[ 1 of 3]-Minibatch[1101-1110, 86.72%]: CrossEntropyWithSoftmax = 2.38362308 * 640; EvalClassificationError = 0.62187500 * 640; time = 0.0526s; samplesPerSecond = 12167.6
MPI Rank 0: 12/09/2017 11:42:40:  Epoch[ 1 of 3]-Minibatch[1111-1120, 87.50%]: CrossEntropyWithSoftmax = 2.50054698 * 640; EvalClassificationError = 0.63281250 * 640; time = 0.0528s; samplesPerSecond = 12126.0
MPI Rank 0: 12/09/2017 11:42:40:  Epoch[ 1 of 3]-Minibatch[1121-1130, 88.28%]: CrossEntropyWithSoftmax = 2.19944619 * 640; EvalClassificationError = 0.63281250 * 640; time = 0.0526s; samplesPerSecond = 12175.9
MPI Rank 0: 12/09/2017 11:42:40:  Epoch[ 1 of 3]-Minibatch[1131-1140, 89.06%]: CrossEntropyWithSoftmax = 2.27275776 * 640; EvalClassificationError = 0.60312500 * 640; time = 0.0528s; samplesPerSecond = 12116.3
MPI Rank 0: 12/09/2017 11:42:40:  Epoch[ 1 of 3]-Minibatch[1141-1150, 89.84%]: CrossEntropyWithSoftmax = 2.20598394 * 640; EvalClassificationError = 0.59843750 * 640; time = 0.0526s; samplesPerSecond = 12162.7
MPI Rank 0: 12/09/2017 11:42:40:  Epoch[ 1 of 3]-Minibatch[1151-1160, 90.62%]: CrossEntropyWithSoftmax = 2.33074620 * 640; EvalClassificationError = 0.60625000 * 640; time = 0.0528s; samplesPerSecond = 12122.0
MPI Rank 0: 12/09/2017 11:42:40:  Epoch[ 1 of 3]-Minibatch[1161-1170, 91.41%]: CrossEntropyWithSoftmax = 2.29729462 * 640; EvalClassificationError = 0.57656250 * 640; time = 0.0526s; samplesPerSecond = 12168.8
MPI Rank 0: 12/09/2017 11:42:40:  Epoch[ 1 of 3]-Minibatch[1171-1180, 92.19%]: CrossEntropyWithSoftmax = 2.29348188 * 640; EvalClassificationError = 0.60312500 * 640; time = 0.0526s; samplesPerSecond = 12170.4
MPI Rank 0: 12/09/2017 11:42:40:  Epoch[ 1 of 3]-Minibatch[1181-1190, 92.97%]: CrossEntropyWithSoftmax = 2.30035345 * 640; EvalClassificationError = 0.61250000 * 640; time = 0.0526s; samplesPerSecond = 12169.5
MPI Rank 0: 12/09/2017 11:42:40:  Epoch[ 1 of 3]-Minibatch[1191-1200, 93.75%]: CrossEntropyWithSoftmax = 2.21946827 * 640; EvalClassificationError = 0.60312500 * 640; time = 0.0529s; samplesPerSecond = 12095.7
MPI Rank 0: 12/09/2017 11:42:40:  Epoch[ 1 of 3]-Minibatch[1201-1210, 94.53%]: CrossEntropyWithSoftmax = 2.23789342 * 640; EvalClassificationError = 0.60312500 * 640; time = 0.0527s; samplesPerSecond = 12146.1
MPI Rank 0: 12/09/2017 11:42:40:  Epoch[ 1 of 3]-Minibatch[1211-1220, 95.31%]: CrossEntropyWithSoftmax = 2.25672779 * 640; EvalClassificationError = 0.60625000 * 640; time = 0.0527s; samplesPerSecond = 12142.1
MPI Rank 0: 12/09/2017 11:42:41:  Epoch[ 1 of 3]-Minibatch[1221-1230, 96.09%]: CrossEntropyWithSoftmax = 2.39832877 * 640; EvalClassificationError = 0.62500000 * 640; time = 0.0526s; samplesPerSecond = 12164.0
MPI Rank 0: 12/09/2017 11:42:41:  Epoch[ 1 of 3]-Minibatch[1231-1240, 96.88%]: CrossEntropyWithSoftmax = 2.30130636 * 640; EvalClassificationError = 0.60312500 * 640; time = 0.0524s; samplesPerSecond = 12209.1
MPI Rank 0: 12/09/2017 11:42:41:  Epoch[ 1 of 3]-Minibatch[1241-1250, 97.66%]: CrossEntropyWithSoftmax = 2.24890274 * 640; EvalClassificationError = 0.61562500 * 640; time = 0.0526s; samplesPerSecond = 12161.8
MPI Rank 0: 12/09/2017 11:42:41:  Epoch[ 1 of 3]-Minibatch[1251-1260, 98.44%]: CrossEntropyWithSoftmax = 2.27535411 * 640; EvalClassificationError = 0.56875000 * 640; time = 0.0527s; samplesPerSecond = 12142.1
MPI Rank 0: 12/09/2017 11:42:41:  Epoch[ 1 of 3]-Minibatch[1261-1270, 99.22%]: CrossEntropyWithSoftmax = 2.21997359 * 640; EvalClassificationError = 0.60625000 * 640; time = 0.0530s; samplesPerSecond = 12073.4
MPI Rank 0: 12/09/2017 11:42:41:  Epoch[ 1 of 3]-Minibatch[1271-1280, 100.00%]: CrossEntropyWithSoftmax = 2.30479519 * 640; EvalClassificationError = 0.59843750 * 640; time = 0.0525s; samplesPerSecond = 12192.7
MPI Rank 0: 12/09/2017 11:42:41: Finished Epoch[ 1 of 3]: [Training] CrossEntropyWithSoftmax = 3.00768354 * 81920; EvalClassificationError = 0.72399902 * 81920; totalSamplesSeen = 81920; learningRatePerSample = 0.001953125; epochTime=6.77049s
MPI Rank 0: 12/09/2017 11:42:41: SGD: Saving checkpoint model '/tmp/cntk-test-20171209080859.615414/Speech/DNN_Parallel1BitQuantizationWithAutoMBScaling@release_gpu/models/cntkSpeech.dnn.1'
MPI Rank 0: 12/09/2017 11:42:41:  Before Epoch[2], previous minibatchSize 64 is considered invalid -> resetting.
MPI Rank 0: 12/09/2017 11:42:41:  AdaptiveMinibatchSearch Epoch[2]: Evaluating minibatchSizes 64..8192
MPI Rank 0: 12/09/2017 11:42:41:  AdaptiveMinibatchSearch Epoch[2]: Evaluating trial minibatchSize=64 (search range: 64..8192)...
MPI Rank 0: minibatchiterator: epoch 1: frames [81920..163840] (first utterance at frame 81920), data subset 0 of 2, with 1 datapasses
MPI Rank 0: 
MPI Rank 0: 12/09/2017 11:42:41: Starting minibatch loop, DataParallelSGD training (myRank = 0, numNodes = 2, numGradientBits = 2), distributed reading is ENABLED.
MPI Rank 0: 12/09/2017 11:42:41:   BaseAdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[   1-  10, 0.78%]: CrossEntropyWithSoftmax = 2.24345569 * 640; EvalClassificationError = 0.57968750 * 640; time = 0.0522s; samplesPerSecond = 12251.8
MPI Rank 0: 12/09/2017 11:42:41:   BaseAdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  11-  20, 1.56%]: CrossEntropyWithSoftmax = 2.11726416 * 640; EvalClassificationError = 0.53593750 * 640; time = 0.0528s; samplesPerSecond = 12122.8
MPI Rank 0: 12/09/2017 11:42:41:   BaseAdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  21-  30, 2.34%]: CrossEntropyWithSoftmax = 2.24394174 * 640; EvalClassificationError = 0.60468750 * 640; time = 0.0528s; samplesPerSecond = 12126.8
MPI Rank 0: 12/09/2017 11:42:41:   BaseAdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  31-  40, 3.12%]: CrossEntropyWithSoftmax = 2.06177196 * 640; EvalClassificationError = 0.57187500 * 640; time = 0.0527s; samplesPerSecond = 12138.0
MPI Rank 0: 12/09/2017 11:42:41:   BaseAdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  41-  50, 3.91%]: CrossEntropyWithSoftmax = 2.23389755 * 640; EvalClassificationError = 0.61250000 * 640; time = 0.0529s; samplesPerSecond = 12105.0
MPI Rank 0: 12/09/2017 11:42:41:   BaseAdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  51-  60, 4.69%]: CrossEntropyWithSoftmax = 2.15135823 * 640; EvalClassificationError = 0.58281250 * 640; time = 0.0531s; samplesPerSecond = 12045.0
MPI Rank 0: 12/09/2017 11:42:41:   BaseAdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  61-  70, 5.47%]: CrossEntropyWithSoftmax = 2.23572304 * 640; EvalClassificationError = 0.59843750 * 640; time = 0.0526s; samplesPerSecond = 12169.6
MPI Rank 0: 12/09/2017 11:42:41:   BaseAdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  71-  80, 6.25%]: CrossEntropyWithSoftmax = 2.08929700 * 640; EvalClassificationError = 0.57968750 * 640; time = 0.0526s; samplesPerSecond = 12161.6
MPI Rank 0: 12/09/2017 11:42:41:   BaseAdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  81-  90, 7.03%]: CrossEntropyWithSoftmax = 2.11455068 * 640; EvalClassificationError = 0.57031250 * 640; time = 0.0527s; samplesPerSecond = 12145.3
MPI Rank 0: 12/09/2017 11:42:41:   BaseAdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  91- 100, 7.81%]: CrossEntropyWithSoftmax = 2.13393175 * 640; EvalClassificationError = 0.55625000 * 640; time = 0.0524s; samplesPerSecond = 12205.7
MPI Rank 0: 12/09/2017 11:42:41:   BaseAdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[ 101- 110, 8.59%]: CrossEntropyWithSoftmax = 2.10447653 * 640; EvalClassificationError = 0.60937500 * 640; time = 0.0526s; samplesPerSecond = 12156.7
MPI Rank 0: 12/09/2017 11:42:41:   BaseAdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[ 111- 120, 9.38%]: CrossEntropyWithSoftmax = 2.03272154 * 640; EvalClassificationError = 0.57031250 * 640; time = 0.0528s; samplesPerSecond = 12130.1
MPI Rank 0: 12/09/2017 11:42:42:   BaseAdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[ 121- 130, 10.16%]: CrossEntropyWithSoftmax = 2.10075962 * 640; EvalClassificationError = 0.59843750 * 640; time = 0.0527s; samplesPerSecond = 12138.9
MPI Rank 0: 12/09/2017 11:42:42:   BaseAdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[ 131- 140, 10.94%]: CrossEntropyWithSoftmax = 2.08829784 * 640; EvalClassificationError = 0.55781250 * 640; time = 0.0530s; samplesPerSecond = 12076.2
MPI Rank 0: 12/09/2017 11:42:42:   BaseAdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[ 141- 150, 11.72%]: CrossEntropyWithSoftmax = 2.11153577 * 640; EvalClassificationError = 0.57656250 * 640; time = 0.0521s; samplesPerSecond = 12285.9
MPI Rank 0: 12/09/2017 11:42:42:   BaseAdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[ 151- 160, 12.50%]: CrossEntropyWithSoftmax = 2.13992512 * 640; EvalClassificationError = 0.57812500 * 640; time = 0.0526s; samplesPerSecond = 12171.7
MPI Rank 0: 12/09/2017 11:42:42:  Finished Mini-Epoch[2]: CrossEntropyWithSoftmax = 2.13909668 * 10304; EvalClassificationError = 0.58006599 * 10304; learningRatePerSample = 0.001953125; minibatchSize = 64
MPI Rank 0: ValidateSubNetwork: InvStdOfFeatures InvStdDev operation changed, from [363 x 1] to [363].ValidateSubNetwork: MeanOfFeatures Mean operation changed, from [363 x 1] to [363].ValidateSubNetwork: Prior Mean operation changed, from [132 x 1] to [132].12/09/2017 11:42:42:  AdaptiveMinibatchSearch Epoch[2]: Computed baseCriterion 2.13909668 for minibatchSize=64
MPI Rank 0: 12/09/2017 11:42:42:  AdaptiveMinibatchSearch Epoch[2]: Evaluating trial minibatchSize=64 (search range: 64..8192)...
MPI Rank 0: minibatchiterator: epoch 1: frames [81920..163840] (first utterance at frame 81920), data subset 0 of 2, with 1 datapasses
MPI Rank 0: 
MPI Rank 0: 12/09/2017 11:42:42: Starting minibatch loop, DataParallelSGD training (myRank = 0, numNodes = 2, numGradientBits = 2), distributed reading is ENABLED.
MPI Rank 0: 12/09/2017 11:42:42:   AdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[   1-  10, 0.78%]: CrossEntropyWithSoftmax = 2.24345569 * 640; EvalClassificationError = 0.57968750 * 640; time = 0.0521s; samplesPerSecond = 12279.4
MPI Rank 0: 12/09/2017 11:42:42:   AdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  11-  20, 1.56%]: CrossEntropyWithSoftmax = 2.11726416 * 640; EvalClassificationError = 0.53593750 * 640; time = 0.0527s; samplesPerSecond = 12133.8
MPI Rank 0: 12/09/2017 11:42:42:   AdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  21-  30, 2.34%]: CrossEntropyWithSoftmax = 2.24394174 * 640; EvalClassificationError = 0.60468750 * 640; time = 0.0529s; samplesPerSecond = 12103.4
MPI Rank 0: 12/09/2017 11:42:42:   AdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  31-  40, 3.12%]: CrossEntropyWithSoftmax = 2.06177196 * 640; EvalClassificationError = 0.57187500 * 640; time = 0.0527s; samplesPerSecond = 12141.5
MPI Rank 0: 12/09/2017 11:42:42:   AdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  41-  50, 3.91%]: CrossEntropyWithSoftmax = 2.23389755 * 640; EvalClassificationError = 0.61250000 * 640; time = 0.0529s; samplesPerSecond = 12090.4
MPI Rank 0: 12/09/2017 11:42:42:   AdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  51-  60, 4.69%]: CrossEntropyWithSoftmax = 2.15135823 * 640; EvalClassificationError = 0.58281250 * 640; time = 0.0528s; samplesPerSecond = 12114.8
MPI Rank 0: 12/09/2017 11:42:42:   AdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  61-  70, 5.47%]: CrossEntropyWithSoftmax = 2.23572304 * 640; EvalClassificationError = 0.59843750 * 640; time = 0.0524s; samplesPerSecond = 12219.3
MPI Rank 0: 12/09/2017 11:42:42:   AdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  71-  80, 6.25%]: CrossEntropyWithSoftmax = 2.08929700 * 640; EvalClassificationError = 0.57968750 * 640; time = 0.0526s; samplesPerSecond = 12156.2
MPI Rank 0: 12/09/2017 11:42:42:   AdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  81-  90, 7.03%]: CrossEntropyWithSoftmax = 2.11455068 * 640; EvalClassificationError = 0.57031250 * 640; time = 0.0526s; samplesPerSecond = 12170.9
MPI Rank 0: 12/09/2017 11:42:42:   AdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  91- 100, 7.81%]: CrossEntropyWithSoftmax = 2.13393175 * 640; EvalClassificationError = 0.55625000 * 640; time = 0.0531s; samplesPerSecond = 12053.9
MPI Rank 0: 12/09/2017 11:42:42:   AdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[ 101- 110, 8.59%]: CrossEntropyWithSoftmax = 2.10447653 * 640; EvalClassificationError = 0.60937500 * 640; time = 0.0526s; samplesPerSecond = 12156.6
MPI Rank 0: 12/09/2017 11:42:42:   AdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[ 111- 120, 9.38%]: CrossEntropyWithSoftmax = 2.03272154 * 640; EvalClassificationError = 0.57031250 * 640; time = 0.0625s; samplesPerSecond = 10237.1
MPI Rank 0: 12/09/2017 11:42:42:   AdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[ 121- 130, 10.16%]: CrossEntropyWithSoftmax = 2.10075962 * 640; EvalClassificationError = 0.59843750 * 640; time = 0.0527s; samplesPerSecond = 12148.6
MPI Rank 0: 12/09/2017 11:42:42:   AdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[ 131- 140, 10.94%]: CrossEntropyWithSoftmax = 2.08829784 * 640; EvalClassificationError = 0.55781250 * 640; time = 0.0528s; samplesPerSecond = 12132.4
MPI Rank 0: 12/09/2017 11:42:43:   AdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[ 141- 150, 11.72%]: CrossEntropyWithSoftmax = 2.11153577 * 640; EvalClassificationError = 0.57656250 * 640; time = 0.0521s; samplesPerSecond = 12287.8
MPI Rank 0: 12/09/2017 11:42:43:   AdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[ 151- 160, 12.50%]: CrossEntropyWithSoftmax = 2.13992512 * 640; EvalClassificationError = 0.57812500 * 640; time = 0.0526s; samplesPerSecond = 12175.0
MPI Rank 0: 12/09/2017 11:42:43:  Finished Mini-Epoch[2]: CrossEntropyWithSoftmax = 2.13909668 * 10304; EvalClassificationError = 0.58006599 * 10304; learningRatePerSample = 0.001953125; minibatchSize = 64
MPI Rank 0: ValidateSubNetwork: InvStdOfFeatures InvStdDev operation changed, from [363 x 1] to [363].ValidateSubNetwork: MeanOfFeatures Mean operation changed, from [363 x 1] to [363].ValidateSubNetwork: Prior Mean operation changed, from [132 x 1] to [132].12/09/2017 11:42:43:  AdaptiveMinibatchSearch Epoch[2]: Keep searching... epochCriterion = 2.13909668 vs. baseCriterion = 2.13909668
MPI Rank 0: 12/09/2017 11:42:43:  AdaptiveMinibatchSearch Epoch[2]: Evaluating trial minibatchSize=128 (search range: 64..8192)...
MPI Rank 0: minibatchiterator: epoch 1: frames [81920..163840] (first utterance at frame 81920), data subset 0 of 2, with 1 datapasses
MPI Rank 0: 
MPI Rank 0: 12/09/2017 11:42:43: Starting minibatch loop, DataParallelSGD training (myRank = 0, numNodes = 2, numGradientBits = 2), distributed reading is ENABLED.
MPI Rank 0: 12/09/2017 11:42:43:   AdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[   1-  10, 1.56%]: CrossEntropyWithSoftmax = 2.18035914 * 1280; EvalClassificationError = 0.55625000 * 1280; time = 0.0693s; samplesPerSecond = 18465.7
MPI Rank 0: 12/09/2017 11:42:43:   AdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  11-  20, 3.12%]: CrossEntropyWithSoftmax = 2.16542849 * 1280; EvalClassificationError = 0.59062500 * 1280; time = 0.0697s; samplesPerSecond = 18359.9
MPI Rank 0: 12/09/2017 11:42:43:   AdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  21-  30, 4.69%]: CrossEntropyWithSoftmax = 2.23789734 * 1280; EvalClassificationError = 0.60468750 * 1280; time = 0.0702s; samplesPerSecond = 18226.1
MPI Rank 0: 12/09/2017 11:42:43:   AdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  31-  40, 6.25%]: CrossEntropyWithSoftmax = 2.24962172 * 1280; EvalClassificationError = 0.60781250 * 1280; time = 0.0702s; samplesPerSecond = 18231.6
MPI Rank 0: 12/09/2017 11:42:43:   AdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  41-  50, 7.81%]: CrossEntropyWithSoftmax = 2.12575209 * 1280; EvalClassificationError = 0.56250000 * 1280; time = 0.0702s; samplesPerSecond = 18232.6
MPI Rank 0: 12/09/2017 11:42:43:   AdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  51-  60, 9.38%]: CrossEntropyWithSoftmax = 2.09433307 * 1280; EvalClassificationError = 0.58437500 * 1280; time = 0.0700s; samplesPerSecond = 18287.9
MPI Rank 0: 12/09/2017 11:42:43:   AdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  61-  70, 10.94%]: CrossEntropyWithSoftmax = 2.12415316 * 1280; EvalClassificationError = 0.59218750 * 1280; time = 0.0701s; samplesPerSecond = 18255.6
MPI Rank 0: 12/09/2017 11:42:43:   AdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  71-  80, 12.50%]: CrossEntropyWithSoftmax = 2.15271346 * 1280; EvalClassificationError = 0.57265625 * 1280; time = 0.0706s; samplesPerSecond = 18128.8
MPI Rank 0: 12/09/2017 11:42:43:  Finished Mini-Epoch[2]: CrossEntropyWithSoftmax = 2.16720822 * 10368; EvalClassificationError = 0.58381559 * 10368; learningRatePerSample = 0.001953125; minibatchSize = 128
MPI Rank 0: ValidateSubNetwork: InvStdOfFeatures InvStdDev operation changed, from [363 x 1] to [363].ValidateSubNetwork: MeanOfFeatures Mean operation changed, from [363 x 1] to [363].ValidateSubNetwork: Prior Mean operation changed, from [132 x 1] to [132].12/09/2017 11:42:43:  AdaptiveMinibatchSearch Epoch[2]: Search successful. New minibatchSize is 64. epochCriterion = 2.13909668 vs baseCriterion = 2.13909668
MPI Rank 0: 
MPI Rank 0: 12/09/2017 11:42:43: Starting Epoch 2: learning rate per sample = 0.001953  effective momentum = 0.939413  momentum as time constant = 1024.0 samples
MPI Rank 0: minibatchiterator: epoch 1: frames [81920..163840] (first utterance at frame 81920), data subset 0 of 2, with 1 datapasses
MPI Rank 0: 
MPI Rank 0: 12/09/2017 11:42:43: Starting minibatch loop, DataParallelSGD training (myRank = 0, numNodes = 2, numGradientBits = 2), distributed reading is ENABLED.
MPI Rank 0: 12/09/2017 11:42:43:  Epoch[ 2 of 3]-Minibatch[   1-  10, 0.78%]: CrossEntropyWithSoftmax = 2.24345569 * 640; EvalClassificationError = 0.57968750 * 640; time = 0.0519s; samplesPerSecond = 12323.1
MPI Rank 0: 12/09/2017 11:42:43:  Epoch[ 2 of 3]-Minibatch[  11-  20, 1.56%]: CrossEntropyWithSoftmax = 2.11726416 * 640; EvalClassificationError = 0.53593750 * 640; time = 0.0527s; samplesPerSecond = 12154.4
MPI Rank 0: 12/09/2017 11:42:43:  Epoch[ 2 of 3]-Minibatch[  21-  30, 2.34%]: CrossEntropyWithSoftmax = 2.24394174 * 640; EvalClassificationError = 0.60468750 * 640; time = 0.0527s; samplesPerSecond = 12152.4
MPI Rank 0: 12/09/2017 11:42:43:  Epoch[ 2 of 3]-Minibatch[  31-  40, 3.12%]: CrossEntropyWithSoftmax = 2.06177196 * 640; EvalClassificationError = 0.57187500 * 640; time = 0.0527s; samplesPerSecond = 12138.2
MPI Rank 0: 12/09/2017 11:42:44:  Epoch[ 2 of 3]-Minibatch[  41-  50, 3.91%]: CrossEntropyWithSoftmax = 2.23389755 * 640; EvalClassificationError = 0.61250000 * 640; time = 0.0527s; samplesPerSecond = 12133.2
MPI Rank 0: 12/09/2017 11:42:44:  Epoch[ 2 of 3]-Minibatch[  51-  60, 4.69%]: CrossEntropyWithSoftmax = 2.15135823 * 640; EvalClassificationError = 0.58281250 * 640; time = 0.0531s; samplesPerSecond = 12041.6
MPI Rank 0: 12/09/2017 11:42:44:  Epoch[ 2 of 3]-Minibatch[  61-  70, 5.47%]: CrossEntropyWithSoftmax = 2.23572304 * 640; EvalClassificationError = 0.59843750 * 640; time = 0.0525s; samplesPerSecond = 12185.0
MPI Rank 0: 12/09/2017 11:42:44:  Epoch[ 2 of 3]-Minibatch[  71-  80, 6.25%]: CrossEntropyWithSoftmax = 2.08929700 * 640; EvalClassificationError = 0.57968750 * 640; time = 0.0527s; samplesPerSecond = 12146.1
MPI Rank 0: 12/09/2017 11:42:44:  Epoch[ 2 of 3]-Minibatch[  81-  90, 7.03%]: CrossEntropyWithSoftmax = 2.11455068 * 640; EvalClassificationError = 0.57031250 * 640; time = 0.0527s; samplesPerSecond = 12138.9
MPI Rank 0: 12/09/2017 11:42:44:  Epoch[ 2 of 3]-Minibatch[  91- 100, 7.81%]: CrossEntropyWithSoftmax = 2.13393175 * 640; EvalClassificationError = 0.55625000 * 640; time = 0.0524s; samplesPerSecond = 12205.4
MPI Rank 0: 12/09/2017 11:42:44:  Epoch[ 2 of 3]-Minibatch[ 101- 110, 8.59%]: CrossEntropyWithSoftmax = 2.10447653 * 640; EvalClassificationError = 0.60937500 * 640; time = 0.0527s; samplesPerSecond = 12141.3
MPI Rank 0: 12/09/2017 11:42:44:  Epoch[ 2 of 3]-Minibatch[ 111- 120, 9.38%]: CrossEntropyWithSoftmax = 2.03272154 * 640; EvalClassificationError = 0.57031250 * 640; time = 0.0527s; samplesPerSecond = 12152.2
MPI Rank 0: 12/09/2017 11:42:44:  Epoch[ 2 of 3]-Minibatch[ 121- 130, 10.16%]: CrossEntropyWithSoftmax = 2.10075962 * 640; EvalClassificationError = 0.59843750 * 640; time = 0.0526s; samplesPerSecond = 12175.2
MPI Rank 0: 12/09/2017 11:42:44:  Epoch[ 2 of 3]-Minibatch[ 131- 140, 10.94%]: CrossEntropyWithSoftmax = 2.08829784 * 640; EvalClassificationError = 0.55781250 * 640; time = 0.0527s; samplesPerSecond = 12141.4
MPI Rank 0: 12/09/2017 11:42:44:  Epoch[ 2 of 3]-Minibatch[ 141- 150, 11.72%]: CrossEntropyWithSoftmax = 2.11153577 * 640; EvalClassificationError = 0.57656250 * 640; time = 0.0523s; samplesPerSecond = 12248.7
MPI Rank 0: 12/09/2017 11:42:44:  Epoch[ 2 of 3]-Minibatch[ 151- 160, 12.50%]: CrossEntropyWithSoftmax = 2.13992512 * 640; EvalClassificationError = 0.57812500 * 640; time = 0.0527s; samplesPerSecond = 12149.0
MPI Rank 0: 12/09/2017 11:42:44:  Epoch[ 2 of 3]-Minibatch[ 161- 170, 13.28%]: CrossEntropyWithSoftmax = 2.03696412 * 640; EvalClassificationError = 0.53125000 * 640; time = 0.0527s; samplesPerSecond = 12152.4
MPI Rank 0: 12/09/2017 11:42:44:  Epoch[ 2 of 3]-Minibatch[ 171- 180, 14.06%]: CrossEntropyWithSoftmax = 2.08757758 * 640; EvalClassificationError = 0.56875000 * 640; time = 0.0527s; samplesPerSecond = 12147.5
MPI Rank 0: 12/09/2017 11:42:44:  Epoch[ 2 of 3]-Minibatch[ 181- 190, 14.84%]: CrossEntropyWithSoftmax = 2.11149906 * 640; EvalClassificationError = 0.56718750 * 640; time = 0.0525s; samplesPerSecond = 12189.0
MPI Rank 0: 12/09/2017 11:42:44:  Epoch[ 2 of 3]-Minibatch[ 191- 200, 15.62%]: CrossEntropyWithSoftmax = 2.05167017 * 640; EvalClassificationError = 0.55000000 * 640; time = 0.0528s; samplesPerSecond = 12122.1
MPI Rank 0: 12/09/2017 11:42:44:  Epoch[ 2 of 3]-Minibatch[ 201- 210, 16.41%]: CrossEntropyWithSoftmax = 2.00493098 * 640; EvalClassificationError = 0.56718750 * 640; time = 0.0525s; samplesPerSecond = 12179.1
MPI Rank 0: 12/09/2017 11:42:44:  Epoch[ 2 of 3]-Minibatch[ 211- 220, 17.19%]: CrossEntropyWithSoftmax = 1.92069715 * 640; EvalClassificationError = 0.52343750 * 640; time = 0.0529s; samplesPerSecond = 12096.1
MPI Rank 0: 12/09/2017 11:42:44:  Epoch[ 2 of 3]-Minibatch[ 221- 230, 17.97%]: CrossEntropyWithSoftmax = 1.94590018 * 640; EvalClassificationError = 0.51406250 * 640; time = 0.0529s; samplesPerSecond = 12109.7
MPI Rank 0: 12/09/2017 11:42:45:  Epoch[ 2 of 3]-Minibatch[ 231- 240, 18.75%]: CrossEntropyWithSoftmax = 2.01192430 * 640; EvalClassificationError = 0.53125000 * 640; time = 0.0530s; samplesPerSecond = 12086.2
MPI Rank 0: 12/09/2017 11:42:45:  Epoch[ 2 of 3]-Minibatch[ 241- 250, 19.53%]: CrossEntropyWithSoftmax = 2.05045986 * 640; EvalClassificationError = 0.55781250 * 640; time = 0.0527s; samplesPerSecond = 12137.4
MPI Rank 0: 12/09/2017 11:42:45:  Epoch[ 2 of 3]-Minibatch[ 251- 260, 20.31%]: CrossEntropyWithSoftmax = 2.06344648 * 640; EvalClassificationError = 0.52187500 * 640; time = 0.0527s; samplesPerSecond = 12143.5
MPI Rank 0: 12/09/2017 11:42:45:  Epoch[ 2 of 3]-Minibatch[ 261- 270, 21.09%]: CrossEntropyWithSoftmax = 1.99464522 * 640; EvalClassificationError = 0.53125000 * 640; time = 0.0525s; samplesPerSecond = 12189.2
MPI Rank 0: 12/09/2017 11:42:45:  Epoch[ 2 of 3]-Minibatch[ 271- 280, 21.88%]: CrossEntropyWithSoftmax = 1.97146917 * 640; EvalClassificationError = 0.55468750 * 640; time = 0.0524s; samplesPerSecond = 12212.3
MPI Rank 0: 12/09/2017 11:42:45:  Epoch[ 2 of 3]-Minibatch[ 281- 290, 22.66%]: CrossEntropyWithSoftmax = 2.05809342 * 640; EvalClassificationError = 0.56093750 * 640; time = 0.0531s; samplesPerSecond = 12044.7
MPI Rank 0: 12/09/2017 11:42:45:  Epoch[ 2 of 3]-Minibatch[ 291- 300, 23.44%]: CrossEntropyWithSoftmax = 2.09955355 * 640; EvalClassificationError = 0.57812500 * 640; time = 0.0525s; samplesPerSecond = 12199.9
MPI Rank 0: 12/09/2017 11:42:45:  Epoch[ 2 of 3]-Minibatch[ 301- 310, 24.22%]: CrossEntropyWithSoftmax = 1.94965369 * 640; EvalClassificationError = 0.53125000 * 640; time = 0.0527s; samplesPerSecond = 12145.8
MPI Rank 0: 12/09/2017 11:42:45:  Epoch[ 2 of 3]-Minibatch[ 311- 320, 25.00%]: CrossEntropyWithSoftmax = 1.89532276 * 640; EvalClassificationError = 0.54375000 * 640; time = 0.0525s; samplesPerSecond = 12182.8
MPI Rank 0: 12/09/2017 11:42:45:  Epoch[ 2 of 3]-Minibatch[ 321- 330, 25.78%]: CrossEntropyWithSoftmax = 2.08372134 * 640; EvalClassificationError = 0.58125000 * 640; time = 0.0529s; samplesPerSecond = 12101.7
MPI Rank 0: 12/09/2017 11:42:45:  Epoch[ 2 of 3]-Minibatch[ 331- 340, 26.56%]: CrossEntropyWithSoftmax = 1.99598456 * 640; EvalClassificationError = 0.54687500 * 640; time = 0.0522s; samplesPerSecond = 12261.5
MPI Rank 0: 12/09/2017 11:42:45:  Epoch[ 2 of 3]-Minibatch[ 341- 350, 27.34%]: CrossEntropyWithSoftmax = 1.97715214 * 640; EvalClassificationError = 0.54062500 * 640; time = 0.0528s; samplesPerSecond = 12131.8
MPI Rank 0: 12/09/2017 11:42:45:  Epoch[ 2 of 3]-Minibatch[ 351- 360, 28.12%]: CrossEntropyWithSoftmax = 1.93971995 * 640; EvalClassificationError = 0.53437500 * 640; time = 0.0529s; samplesPerSecond = 12100.7
MPI Rank 0: 12/09/2017 11:42:45:  Epoch[ 2 of 3]-Minibatch[ 361- 370, 28.91%]: CrossEntropyWithSoftmax = 1.96514227 * 640; EvalClassificationError = 0.55937500 * 640; time = 0.0521s; samplesPerSecond = 12284.0
MPI Rank 0: 12/09/2017 11:42:45:  Epoch[ 2 of 3]-Minibatch[ 371- 380, 29.69%]: CrossEntropyWithSoftmax = 1.94702695 * 640; EvalClassificationError = 0.53906250 * 640; time = 0.0527s; samplesPerSecond = 12136.2
MPI Rank 0: 12/09/2017 11:42:45:  Epoch[ 2 of 3]-Minibatch[ 381- 390, 30.47%]: CrossEntropyWithSoftmax = 2.04018427 * 640; EvalClassificationError = 0.56875000 * 640; time = 0.0527s; samplesPerSecond = 12136.1
MPI Rank 0: 12/09/2017 11:42:45:  Epoch[ 2 of 3]-Minibatch[ 391- 400, 31.25%]: CrossEntropyWithSoftmax = 2.06790219 * 640; EvalClassificationError = 0.58906250 * 640; time = 0.0585s; samplesPerSecond = 10933.6
MPI Rank 0: 12/09/2017 11:42:45:  Epoch[ 2 of 3]-Minibatch[ 401- 410, 32.03%]: CrossEntropyWithSoftmax = 1.89286357 * 640; EvalClassificationError = 0.52968750 * 640; time = 0.0526s; samplesPerSecond = 12161.3
MPI Rank 0: 12/09/2017 11:42:45:  Epoch[ 2 of 3]-Minibatch[ 411- 420, 32.81%]: CrossEntropyWithSoftmax = 1.96330843 * 640; EvalClassificationError = 0.54531250 * 640; time = 0.0526s; samplesPerSecond = 12171.8
MPI Rank 0: 12/09/2017 11:42:46:  Epoch[ 2 of 3]-Minibatch[ 421- 430, 33.59%]: CrossEntropyWithSoftmax = 1.77992018 * 640; EvalClassificationError = 0.49375000 * 640; time = 0.0530s; samplesPerSecond = 12069.9
MPI Rank 0: 12/09/2017 11:42:46:  Epoch[ 2 of 3]-Minibatch[ 431- 440, 34.38%]: CrossEntropyWithSoftmax = 2.00866093 * 640; EvalClassificationError = 0.55156250 * 640; time = 0.0526s; samplesPerSecond = 12175.1
MPI Rank 0: 12/09/2017 11:42:46:  Epoch[ 2 of 3]-Minibatch[ 441- 450, 35.16%]: CrossEntropyWithSoftmax = 1.85906591 * 640; EvalClassificationError = 0.50625000 * 640; time = 0.0537s; samplesPerSecond = 11908.5
MPI Rank 0: 12/09/2017 11:42:46:  Epoch[ 2 of 3]-Minibatch[ 451- 460, 35.94%]: CrossEntropyWithSoftmax = 1.94785883 * 640; EvalClassificationError = 0.53593750 * 640; time = 0.0527s; samplesPerSecond = 12152.7
MPI Rank 0: 12/09/2017 11:42:46:  Epoch[ 2 of 3]-Minibatch[ 461- 470, 36.72%]: CrossEntropyWithSoftmax = 1.91001455 * 640; EvalClassificationError = 0.50468750 * 640; time = 0.0528s; samplesPerSecond = 12132.4
MPI Rank 0: 12/09/2017 11:42:46:  Epoch[ 2 of 3]-Minibatch[ 471- 480, 37.50%]: CrossEntropyWithSoftmax = 1.89670427 * 640; EvalClassificationError = 0.52812500 * 640; time = 0.0528s; samplesPerSecond = 12118.3
MPI Rank 0: 12/09/2017 11:42:46:  Epoch[ 2 of 3]-Minibatch[ 481- 490, 38.28%]: CrossEntropyWithSoftmax = 1.83345238 * 640; EvalClassificationError = 0.52812500 * 640; time = 0.0528s; samplesPerSecond = 12121.1
MPI Rank 0: 12/09/2017 11:42:46:  Epoch[ 2 of 3]-Minibatch[ 491- 500, 39.06%]: CrossEntropyWithSoftmax = 1.93778483 * 640; EvalClassificationError = 0.51875000 * 640; time = 0.0529s; samplesPerSecond = 12095.5
MPI Rank 0: 12/09/2017 11:42:46:  Epoch[ 2 of 3]-Minibatch[ 501- 510, 39.84%]: CrossEntropyWithSoftmax = 1.89620364 * 640; EvalClassificationError = 0.51250000 * 640; time = 0.0522s; samplesPerSecond = 12258.8
MPI Rank 0: 12/09/2017 11:42:46:  Epoch[ 2 of 3]-Minibatch[ 511- 520, 40.62%]: CrossEntropyWithSoftmax = 1.84840512 * 640; EvalClassificationError = 0.53125000 * 640; time = 0.0529s; samplesPerSecond = 12089.1
MPI Rank 0: 12/09/2017 11:42:46:  Epoch[ 2 of 3]-Minibatch[ 521- 530, 41.41%]: CrossEntropyWithSoftmax = 1.78906273 * 640; EvalClassificationError = 0.50781250 * 640; time = 0.0528s; samplesPerSecond = 12130.3
MPI Rank 0: 12/09/2017 11:42:46:  Epoch[ 2 of 3]-Minibatch[ 531- 540, 42.19%]: CrossEntropyWithSoftmax = 1.83918319 * 640; EvalClassificationError = 0.54375000 * 640; time = 0.0526s; samplesPerSecond = 12159.1
MPI Rank 0: 12/09/2017 11:42:46:  Epoch[ 2 of 3]-Minibatch[ 541- 550, 42.97%]: CrossEntropyWithSoftmax = 1.93728116 * 640; EvalClassificationError = 0.53125000 * 640; time = 0.0529s; samplesPerSecond = 12107.7
MPI Rank 0: 12/09/2017 11:42:46:  Epoch[ 2 of 3]-Minibatch[ 551- 560, 43.75%]: CrossEntropyWithSoftmax = 1.82117036 * 640; EvalClassificationError = 0.50468750 * 640; time = 0.0529s; samplesPerSecond = 12106.5
MPI Rank 0: 12/09/2017 11:42:46:  Epoch[ 2 of 3]-Minibatch[ 561- 570, 44.53%]: CrossEntropyWithSoftmax = 1.82624918 * 640; EvalClassificationError = 0.48281250 * 640; time = 0.0523s; samplesPerSecond = 12244.1
MPI Rank 0: 12/09/2017 11:42:46:  Epoch[ 2 of 3]-Minibatch[ 571- 580, 45.31%]: CrossEntropyWithSoftmax = 1.85774931 * 640; EvalClassificationError = 0.50312500 * 640; time = 0.0525s; samplesPerSecond = 12192.6
MPI Rank 0: 12/09/2017 11:42:46:  Epoch[ 2 of 3]-Minibatch[ 581- 590, 46.09%]: CrossEntropyWithSoftmax = 1.81113848 * 640; EvalClassificationError = 0.51875000 * 640; time = 0.0526s; samplesPerSecond = 12173.0
MPI Rank 0: 12/09/2017 11:42:46:  Epoch[ 2 of 3]-Minibatch[ 591- 600, 46.88%]: CrossEntropyWithSoftmax = 1.75392008 * 640; EvalClassificationError = 0.48750000 * 640; time = 0.0523s; samplesPerSecond = 12232.6
MPI Rank 0: 12/09/2017 11:42:46:  Epoch[ 2 of 3]-Minibatch[ 601- 610, 47.66%]: CrossEntropyWithSoftmax = 1.78522636 * 640; EvalClassificationError = 0.51875000 * 640; time = 0.0527s; samplesPerSecond = 12139.7
MPI Rank 0: 12/09/2017 11:42:47:  Epoch[ 2 of 3]-Minibatch[ 611- 620, 48.44%]: CrossEntropyWithSoftmax = 1.85151281 * 640; EvalClassificationError = 0.51250000 * 640; time = 0.0526s; samplesPerSecond = 12166.2
MPI Rank 0: 12/09/2017 11:42:47:  Epoch[ 2 of 3]-Minibatch[ 621- 630, 49.22%]: CrossEntropyWithSoftmax = 1.70197996 * 640; EvalClassificationError = 0.46875000 * 640; time = 0.0530s; samplesPerSecond = 12086.5
MPI Rank 0: 12/09/2017 11:42:47:  Epoch[ 2 of 3]-Minibatch[ 631- 640, 50.00%]: CrossEntropyWithSoftmax = 1.82808640 * 640; EvalClassificationError = 0.51718750 * 640; time = 0.0526s; samplesPerSecond = 12159.2
MPI Rank 0: 12/09/2017 11:42:47:  Epoch[ 2 of 3]-Minibatch[ 641- 650, 50.78%]: CrossEntropyWithSoftmax = 1.84716409 * 640; EvalClassificationError = 0.52343750 * 640; time = 0.0530s; samplesPerSecond = 12078.3
MPI Rank 0: 12/09/2017 11:42:47:  Epoch[ 2 of 3]-Minibatch[ 651- 660, 51.56%]: CrossEntropyWithSoftmax = 1.77120855 * 640; EvalClassificationError = 0.51093750 * 640; time = 0.0527s; samplesPerSecond = 12135.9
MPI Rank 0: 12/09/2017 11:42:47:  Epoch[ 2 of 3]-Minibatch[ 661- 670, 52.34%]: CrossEntropyWithSoftmax = 1.85172659 * 640; EvalClassificationError = 0.51875000 * 640; time = 0.0529s; samplesPerSecond = 12103.6
MPI Rank 0: 12/09/2017 11:42:47:  Epoch[ 2 of 3]-Minibatch[ 671- 680, 53.12%]: CrossEntropyWithSoftmax = 1.76495647 * 640; EvalClassificationError = 0.51562500 * 640; time = 0.0528s; samplesPerSecond = 12122.0
MPI Rank 0: 12/09/2017 11:42:47:  Epoch[ 2 of 3]-Minibatch[ 681- 690, 53.91%]: CrossEntropyWithSoftmax = 1.80611330 * 640; EvalClassificationError = 0.51406250 * 640; time = 0.0526s; samplesPerSecond = 12160.7
MPI Rank 0: 12/09/2017 11:42:47:  Epoch[ 2 of 3]-Minibatch[ 691- 700, 54.69%]: CrossEntropyWithSoftmax = 1.77632951 * 640; EvalClassificationError = 0.50781250 * 640; time = 0.0526s; samplesPerSecond = 12167.4
MPI Rank 0: 12/09/2017 11:42:47:  Epoch[ 2 of 3]-Minibatch[ 701- 710, 55.47%]: CrossEntropyWithSoftmax = 1.80533387 * 640; EvalClassificationError = 0.49687500 * 640; time = 0.0525s; samplesPerSecond = 12190.3
MPI Rank 0: 12/09/2017 11:42:47:  Epoch[ 2 of 3]-Minibatch[ 711- 720, 56.25%]: CrossEntropyWithSoftmax = 1.74054729 * 640; EvalClassificationError = 0.47656250 * 640; time = 0.0529s; samplesPerSecond = 12101.5
MPI Rank 0: 12/09/2017 11:42:47:  Epoch[ 2 of 3]-Minibatch[ 721- 730, 57.03%]: CrossEntropyWithSoftmax = 1.74427003 * 640; EvalClassificationError = 0.50625000 * 640; time = 0.0531s; samplesPerSecond = 12062.4
MPI Rank 0: 12/09/2017 11:42:47:  Epoch[ 2 of 3]-Minibatch[ 731- 740, 57.81%]: CrossEntropyWithSoftmax = 1.82078429 * 640; EvalClassificationError = 0.52343750 * 640; time = 0.0529s; samplesPerSecond = 12109.5
MPI Rank 0: 12/09/2017 11:42:47:  Epoch[ 2 of 3]-Minibatch[ 741- 750, 58.59%]: CrossEntropyWithSoftmax = 1.72747705 * 640; EvalClassificationError = 0.47031250 * 640; time = 0.0529s; samplesPerSecond = 12104.3
MPI Rank 0: 12/09/2017 11:42:47:  Epoch[ 2 of 3]-Minibatch[ 751- 760, 59.38%]: CrossEntropyWithSoftmax = 1.74800868 * 640; EvalClassificationError = 0.50468750 * 640; time = 0.0529s; samplesPerSecond = 12095.2
MPI Rank 0: 12/09/2017 11:42:47:  Epoch[ 2 of 3]-Minibatch[ 761- 770, 60.16%]: CrossEntropyWithSoftmax = 1.75387836 * 640; EvalClassificationError = 0.48437500 * 640; time = 0.0527s; samplesPerSecond = 12140.3
MPI Rank 0: 12/09/2017 11:42:47:  Epoch[ 2 of 3]-Minibatch[ 771- 780, 60.94%]: CrossEntropyWithSoftmax = 1.66449823 * 640; EvalClassificationError = 0.45625000 * 640; time = 0.0529s; samplesPerSecond = 12098.8
MPI Rank 0: 12/09/2017 11:42:47:  Epoch[ 2 of 3]-Minibatch[ 781- 790, 61.72%]: CrossEntropyWithSoftmax = 1.70638174 * 640; EvalClassificationError = 0.47656250 * 640; time = 0.0529s; samplesPerSecond = 12103.3
MPI Rank 0: 12/09/2017 11:42:47:  Epoch[ 2 of 3]-Minibatch[ 791- 800, 62.50%]: CrossEntropyWithSoftmax = 1.80524580 * 640; EvalClassificationError = 0.50937500 * 640; time = 0.0526s; samplesPerSecond = 12164.4
MPI Rank 0: 12/09/2017 11:42:48:  Epoch[ 2 of 3]-Minibatch[ 801- 810, 63.28%]: CrossEntropyWithSoftmax = 1.75186510 * 640; EvalClassificationError = 0.50468750 * 640; time = 0.0528s; samplesPerSecond = 12125.5
MPI Rank 0: 12/09/2017 11:42:48:  Epoch[ 2 of 3]-Minibatch[ 811- 820, 64.06%]: CrossEntropyWithSoftmax = 1.77466476 * 640; EvalClassificationError = 0.51093750 * 640; time = 0.0526s; samplesPerSecond = 12167.4
MPI Rank 0: 12/09/2017 11:42:48:  Epoch[ 2 of 3]-Minibatch[ 821- 830, 64.84%]: CrossEntropyWithSoftmax = 1.79485302 * 640; EvalClassificationError = 0.49843750 * 640; time = 0.0529s; samplesPerSecond = 12107.5
MPI Rank 0: 12/09/2017 11:42:48:  Epoch[ 2 of 3]-Minibatch[ 831- 840, 65.62%]: CrossEntropyWithSoftmax = 1.76510777 * 640; EvalClassificationError = 0.48593750 * 640; time = 0.0523s; samplesPerSecond = 12231.4
MPI Rank 0: 12/09/2017 11:42:48:  Epoch[ 2 of 3]-Minibatch[ 841- 850, 66.41%]: CrossEntropyWithSoftmax = 1.68907611 * 640; EvalClassificationError = 0.46875000 * 640; time = 0.0530s; samplesPerSecond = 12076.8
MPI Rank 0: 12/09/2017 11:42:48:  Epoch[ 2 of 3]-Minibatch[ 851- 860, 67.19%]: CrossEntropyWithSoftmax = 1.76971703 * 640; EvalClassificationError = 0.52031250 * 640; time = 0.0527s; samplesPerSecond = 12149.7
MPI Rank 0: 12/09/2017 11:42:48:  Epoch[ 2 of 3]-Minibatch[ 861- 870, 67.97%]: CrossEntropyWithSoftmax = 1.71029698 * 640; EvalClassificationError = 0.49531250 * 640; time = 0.0529s; samplesPerSecond = 12103.2
MPI Rank 0: 12/09/2017 11:42:48:  Epoch[ 2 of 3]-Minibatch[ 871- 880, 68.75%]: CrossEntropyWithSoftmax = 1.75345813 * 640; EvalClassificationError = 0.48593750 * 640; time = 0.0528s; samplesPerSecond = 12125.9
MPI Rank 0: 12/09/2017 11:42:48:  Epoch[ 2 of 3]-Minibatch[ 881- 890, 69.53%]: CrossEntropyWithSoftmax = 1.80794192 * 640; EvalClassificationError = 0.52812500 * 640; time = 0.0546s; samplesPerSecond = 11713.6
MPI Rank 0: 12/09/2017 11:42:48:  Epoch[ 2 of 3]-Minibatch[ 891- 900, 70.31%]: CrossEntropyWithSoftmax = 1.66729718 * 640; EvalClassificationError = 0.47187500 * 640; time = 0.0534s; samplesPerSecond = 11976.9
MPI Rank 0: 12/09/2017 11:42:48:  Epoch[ 2 of 3]-Minibatch[ 901- 910, 71.09%]: CrossEntropyWithSoftmax = 1.64674160 * 640; EvalClassificationError = 0.48906250 * 640; time = 0.0529s; samplesPerSecond = 12097.1
MPI Rank 0: 12/09/2017 11:42:48:  Epoch[ 2 of 3]-Minibatch[ 911- 920, 71.88%]: CrossEntropyWithSoftmax = 1.62473845 * 640; EvalClassificationError = 0.47031250 * 640; time = 0.0525s; samplesPerSecond = 12180.8
MPI Rank 0: 12/09/2017 11:42:48:  Epoch[ 2 of 3]-Minibatch[ 921- 930, 72.66%]: CrossEntropyWithSoftmax = 1.74612938 * 640; EvalClassificationError = 0.50937500 * 640; time = 0.0526s; samplesPerSecond = 12162.9
MPI Rank 0: 12/09/2017 11:42:48:  Epoch[ 2 of 3]-Minibatch[ 931- 940, 73.44%]: CrossEntropyWithSoftmax = 1.66665198 * 640; EvalClassificationError = 0.49062500 * 640; time = 0.0524s; samplesPerSecond = 12220.3
MPI Rank 0: 12/09/2017 11:42:48:  Epoch[ 2 of 3]-Minibatch[ 941- 950, 74.22%]: CrossEntropyWithSoftmax = 1.74558468 * 640; EvalClassificationError = 0.50312500 * 640; time = 0.0523s; samplesPerSecond = 12245.9
MPI Rank 0: 12/09/2017 11:42:48:  Epoch[ 2 of 3]-Minibatch[ 951- 960, 75.00%]: CrossEntropyWithSoftmax = 1.74369052 * 640; EvalClassificationError = 0.48750000 * 640; time = 0.0525s; samplesPerSecond = 12181.8
MPI Rank 0: 12/09/2017 11:42:48:  Epoch[ 2 of 3]-Minibatch[ 961- 970, 75.78%]: CrossEntropyWithSoftmax = 1.70484200 * 640; EvalClassificationError = 0.48750000 * 640; time = 0.0530s; samplesPerSecond = 12074.0
MPI Rank 0: 12/09/2017 11:42:48:  Epoch[ 2 of 3]-Minibatch[ 971- 980, 76.56%]: CrossEntropyWithSoftmax = 1.62752866 * 640; EvalClassificationError = 0.46406250 * 640; time = 0.0529s; samplesPerSecond = 12089.8
MPI Rank 0: 12/09/2017 11:42:48:  Epoch[ 2 of 3]-Minibatch[ 981- 990, 77.34%]: CrossEntropyWithSoftmax = 1.71044453 * 640; EvalClassificationError = 0.50781250 * 640; time = 0.0534s; samplesPerSecond = 11989.1
MPI Rank 0: 12/09/2017 11:42:49:  Epoch[ 2 of 3]-Minibatch[ 991-1000, 78.12%]: CrossEntropyWithSoftmax = 1.64231106 * 640; EvalClassificationError = 0.47500000 * 640; time = 0.0524s; samplesPerSecond = 12206.9
MPI Rank 0: 12/09/2017 11:42:49:  Epoch[ 2 of 3]-Minibatch[1001-1010, 78.91%]: CrossEntropyWithSoftmax = 1.67296999 * 640; EvalClassificationError = 0.46250000 * 640; time = 0.0525s; samplesPerSecond = 12194.6
MPI Rank 0: 12/09/2017 11:42:49:  Epoch[ 2 of 3]-Minibatch[1011-1020, 79.69%]: CrossEntropyWithSoftmax = 1.57502376 * 640; EvalClassificationError = 0.41406250 * 640; time = 0.0522s; samplesPerSecond = 12260.5
MPI Rank 0: 12/09/2017 11:42:49:  Epoch[ 2 of 3]-Minibatch[1021-1030, 80.47%]: CrossEntropyWithSoftmax = 1.68287023 * 640; EvalClassificationError = 0.47187500 * 640; time = 0.0529s; samplesPerSecond = 12098.7
MPI Rank 0: 12/09/2017 11:42:49:  Epoch[ 2 of 3]-Minibatch[1031-1040, 81.25%]: CrossEntropyWithSoftmax = 1.65061620 * 640; EvalClassificationError = 0.48125000 * 640; time = 0.0532s; samplesPerSecond = 12023.0
MPI Rank 0: 12/09/2017 11:42:49:  Epoch[ 2 of 3]-Minibatch[1041-1050, 82.03%]: CrossEntropyWithSoftmax = 1.62079683 * 640; EvalClassificationError = 0.45468750 * 640; time = 0.0526s; samplesPerSecond = 12169.2
MPI Rank 0: 12/09/2017 11:42:49:  Epoch[ 2 of 3]-Minibatch[1051-1060, 82.81%]: CrossEntropyWithSoftmax = 1.66100122 * 640; EvalClassificationError = 0.46718750 * 640; time = 0.0534s; samplesPerSecond = 11975.0
MPI Rank 0: 12/09/2017 11:42:49:  Epoch[ 2 of 3]-Minibatch[1061-1070, 83.59%]: CrossEntropyWithSoftmax = 1.67839365 * 640; EvalClassificationError = 0.47187500 * 640; time = 0.0528s; samplesPerSecond = 12114.4
MPI Rank 0: 12/09/2017 11:42:49:  Epoch[ 2 of 3]-Minibatch[1071-1080, 84.38%]: CrossEntropyWithSoftmax = 1.62602975 * 640; EvalClassificationError = 0.47031250 * 640; time = 0.0528s; samplesPerSecond = 12110.5
MPI Rank 0: 12/09/2017 11:42:49:  Epoch[ 2 of 3]-Minibatch[1081-1090, 85.16%]: CrossEntropyWithSoftmax = 1.63056822 * 640; EvalClassificationError = 0.45625000 * 640; time = 0.0524s; samplesPerSecond = 12213.0
MPI Rank 0: 12/09/2017 11:42:49:  Epoch[ 2 of 3]-Minibatch[1091-1100, 85.94%]: CrossEntropyWithSoftmax = 1.73921513 * 640; EvalClassificationError = 0.50468750 * 640; time = 0.0531s; samplesPerSecond = 12054.4
MPI Rank 0: 12/09/2017 11:42:49:  Epoch[ 2 of 3]-Minibatch[1101-1110, 86.72%]: CrossEntropyWithSoftmax = 1.62517627 * 640; EvalClassificationError = 0.46093750 * 640; time = 0.0528s; samplesPerSecond = 12131.6
MPI Rank 0: 12/09/2017 11:42:49:  Epoch[ 2 of 3]-Minibatch[1111-1120, 87.50%]: CrossEntropyWithSoftmax = 1.69217915 * 640; EvalClassificationError = 0.49687500 * 640; time = 0.0529s; samplesPerSecond = 12097.3
MPI Rank 0: 12/09/2017 11:42:49:  Epoch[ 2 of 3]-Minibatch[1121-1130, 88.28%]: CrossEntropyWithSoftmax = 1.69583538 * 640; EvalClassificationError = 0.48437500 * 640; time = 0.0523s; samplesPerSecond = 12226.8
MPI Rank 0: 12/09/2017 11:42:49:  Epoch[ 2 of 3]-Minibatch[1131-1140, 89.06%]: CrossEntropyWithSoftmax = 1.64523732 * 640; EvalClassificationError = 0.47500000 * 640; time = 0.0530s; samplesPerSecond = 12082.9
MPI Rank 0: 12/09/2017 11:42:49:  Epoch[ 2 of 3]-Minibatch[1141-1150, 89.84%]: CrossEntropyWithSoftmax = 1.60011496 * 640; EvalClassificationError = 0.45625000 * 640; time = 0.0527s; samplesPerSecond = 12154.7
MPI Rank 0: 12/09/2017 11:42:49:  Epoch[ 2 of 3]-Minibatch[1151-1160, 90.62%]: CrossEntropyWithSoftmax = 1.67694184 * 640; EvalClassificationError = 0.48281250 * 640; time = 0.0527s; samplesPerSecond = 12136.0
MPI Rank 0: 12/09/2017 11:42:49:  Epoch[ 2 of 3]-Minibatch[1161-1170, 91.41%]: CrossEntropyWithSoftmax = 1.54497381 * 640; EvalClassificationError = 0.47656250 * 640; time = 0.0530s; samplesPerSecond = 12078.4
MPI Rank 0: 12/09/2017 11:42:49:  Epoch[ 2 of 3]-Minibatch[1171-1180, 92.19%]: CrossEntropyWithSoftmax = 1.68520133 * 640; EvalClassificationError = 0.46406250 * 640; time = 0.0527s; samplesPerSecond = 12154.6
MPI Rank 0: 12/09/2017 11:42:50:  Epoch[ 2 of 3]-Minibatch[1181-1190, 92.97%]: CrossEntropyWithSoftmax = 1.63144441 * 640; EvalClassificationError = 0.46250000 * 640; time = 0.0532s; samplesPerSecond = 12032.5
MPI Rank 0: 12/09/2017 11:42:50:  Epoch[ 2 of 3]-Minibatch[1191-1200, 93.75%]: CrossEntropyWithSoftmax = 1.54244797 * 640; EvalClassificationError = 0.44843750 * 640; time = 0.0526s; samplesPerSecond = 12159.3
MPI Rank 0: 12/09/2017 11:42:50:  Epoch[ 2 of 3]-Minibatch[1201-1210, 94.53%]: CrossEntropyWithSoftmax = 1.60246191 * 640; EvalClassificationError = 0.48281250 * 640; time = 0.0532s; samplesPerSecond = 12041.1
MPI Rank 0: 12/09/2017 11:42:50:  Epoch[ 2 of 3]-Minibatch[1211-1220, 95.31%]: CrossEntropyWithSoftmax = 1.67302123 * 640; EvalClassificationError = 0.50468750 * 640; time = 0.0529s; samplesPerSecond = 12109.3
MPI Rank 0: 12/09/2017 11:42:50:  Epoch[ 2 of 3]-Minibatch[1221-1230, 96.09%]: CrossEntropyWithSoftmax = 1.52846922 * 640; EvalClassificationError = 0.43125000 * 640; time = 0.0525s; samplesPerSecond = 12179.4
MPI Rank 0: 12/09/2017 11:42:50:  Epoch[ 2 of 3]-Minibatch[1231-1240, 96.88%]: CrossEntropyWithSoftmax = 1.54806499 * 640; EvalClassificationError = 0.45156250 * 640; time = 0.0531s; samplesPerSecond = 12062.7
MPI Rank 0: 12/09/2017 11:42:50:  Epoch[ 2 of 3]-Minibatch[1241-1250, 97.66%]: CrossEntropyWithSoftmax = 1.52634466 * 640; EvalClassificationError = 0.43593750 * 640; time = 0.0531s; samplesPerSecond = 12064.1
MPI Rank 0: 12/09/2017 11:42:50:  Epoch[ 2 of 3]-Minibatch[1251-1260, 98.44%]: CrossEntropyWithSoftmax = 1.58503433 * 640; EvalClassificationError = 0.47343750 * 640; time = 0.0526s; samplesPerSecond = 12164.9
MPI Rank 0: 12/09/2017 11:42:50:  Epoch[ 2 of 3]-Minibatch[1261-1270, 99.22%]: CrossEntropyWithSoftmax = 1.61342985 * 640; EvalClassificationError = 0.46875000 * 640; time = 0.0523s; samplesPerSecond = 12226.7
MPI Rank 0: 12/09/2017 11:42:50:  Epoch[ 2 of 3]-Minibatch[1271-1280, 100.00%]: CrossEntropyWithSoftmax = 1.69453700 * 640; EvalClassificationError = 0.47500000 * 640; time = 0.0530s; samplesPerSecond = 12072.2
MPI Rank 0: 12/09/2017 11:42:50: Finished Epoch[ 2 of 3]: [Training] CrossEntropyWithSoftmax = 1.83887201 * 81920; EvalClassificationError = 0.51401367 * 81920; totalSamplesSeen = 163840; learningRatePerSample = 0.001953125; epochTime=9.17661s
MPI Rank 0: 12/09/2017 11:42:50: SGD: Saving checkpoint model '/tmp/cntk-test-20171209080859.615414/Speech/DNN_Parallel1BitQuantizationWithAutoMBScaling@release_gpu/models/cntkSpeech.dnn.2'
MPI Rank 0: 12/09/2017 11:42:50:  AdaptiveMinibatchSearch Epoch[3]: Evaluating minibatchSizes 64..128
MPI Rank 0: 12/09/2017 11:42:50:  AdaptiveMinibatchSearch Epoch[3]: Evaluating trial minibatchSize=64 (search range: 64..128)...
MPI Rank 0: minibatchiterator: epoch 2: frames [163840..245760] (first utterance at frame 163840), data subset 0 of 2, with 1 datapasses
MPI Rank 0: 
MPI Rank 0: 12/09/2017 11:42:50: Starting minibatch loop, DataParallelSGD training (myRank = 0, numNodes = 2, numGradientBits = 2), distributed reading is ENABLED.
MPI Rank 0: 12/09/2017 11:42:50:   BaseAdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[   1-  10, 0.78%]: CrossEntropyWithSoftmax = 1.47560749 * 640; EvalClassificationError = 0.43906250 * 640; time = 0.0523s; samplesPerSecond = 12229.7
MPI Rank 0: 12/09/2017 11:42:50:   BaseAdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  11-  20, 1.56%]: CrossEntropyWithSoftmax = 1.65277581 * 640; EvalClassificationError = 0.49843750 * 640; time = 0.0530s; samplesPerSecond = 12083.1
MPI Rank 0: 12/09/2017 11:42:50:   BaseAdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  21-  30, 2.34%]: CrossEntropyWithSoftmax = 1.47151219 * 640; EvalClassificationError = 0.40781250 * 640; time = 0.0527s; samplesPerSecond = 12142.3
MPI Rank 0: 12/09/2017 11:42:50:   BaseAdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  31-  40, 3.12%]: CrossEntropyWithSoftmax = 1.59771427 * 640; EvalClassificationError = 0.47500000 * 640; time = 0.0532s; samplesPerSecond = 12029.9
MPI Rank 0: 12/09/2017 11:42:50:   BaseAdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  41-  50, 3.91%]: CrossEntropyWithSoftmax = 1.52571929 * 640; EvalClassificationError = 0.44531250 * 640; time = 0.0525s; samplesPerSecond = 12182.4
MPI Rank 0: 12/09/2017 11:42:50:   BaseAdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  51-  60, 4.69%]: CrossEntropyWithSoftmax = 1.62427027 * 640; EvalClassificationError = 0.44843750 * 640; time = 0.0527s; samplesPerSecond = 12151.5
MPI Rank 0: 12/09/2017 11:42:50:   BaseAdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  61-  70, 5.47%]: CrossEntropyWithSoftmax = 1.59867341 * 640; EvalClassificationError = 0.46406250 * 640; time = 0.0527s; samplesPerSecond = 12153.4
MPI Rank 0: 12/09/2017 11:42:50:   BaseAdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  71-  80, 6.25%]: CrossEntropyWithSoftmax = 1.56264480 * 640; EvalClassificationError = 0.44375000 * 640; time = 0.0526s; samplesPerSecond = 12173.8
MPI Rank 0: 12/09/2017 11:42:51:   BaseAdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  81-  90, 7.03%]: CrossEntropyWithSoftmax = 1.60800660 * 640; EvalClassificationError = 0.46875000 * 640; time = 0.0533s; samplesPerSecond = 12009.3
MPI Rank 0: 12/09/2017 11:42:51:   BaseAdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  91- 100, 7.81%]: CrossEntropyWithSoftmax = 1.68074925 * 640; EvalClassificationError = 0.50000000 * 640; time = 0.0535s; samplesPerSecond = 11954.4
MPI Rank 0: 12/09/2017 11:42:51:   BaseAdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[ 101- 110, 8.59%]: CrossEntropyWithSoftmax = 1.56472610 * 640; EvalClassificationError = 0.45781250 * 640; time = 0.0536s; samplesPerSecond = 11937.2
MPI Rank 0: 12/09/2017 11:42:51:   BaseAdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[ 111- 120, 9.38%]: CrossEntropyWithSoftmax = 1.66516765 * 640; EvalClassificationError = 0.47968750 * 640; time = 0.0526s; samplesPerSecond = 12170.6
MPI Rank 0: 12/09/2017 11:42:51:   BaseAdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[ 121- 130, 10.16%]: CrossEntropyWithSoftmax = 1.57016286 * 640; EvalClassificationError = 0.46093750 * 640; time = 0.0526s; samplesPerSecond = 12169.5
MPI Rank 0: 12/09/2017 11:42:51:   BaseAdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[ 131- 140, 10.94%]: CrossEntropyWithSoftmax = 1.45411407 * 640; EvalClassificationError = 0.39375000 * 640; time = 0.0535s; samplesPerSecond = 11960.6
MPI Rank 0: 12/09/2017 11:42:51:   BaseAdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[ 141- 150, 11.72%]: CrossEntropyWithSoftmax = 1.55003068 * 640; EvalClassificationError = 0.41718750 * 640; time = 0.0529s; samplesPerSecond = 12093.5
MPI Rank 0: 12/09/2017 11:42:51:   BaseAdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[ 151- 160, 12.50%]: CrossEntropyWithSoftmax = 1.58598391 * 640; EvalClassificationError = 0.47031250 * 640; time = 0.0526s; samplesPerSecond = 12168.1
MPI Rank 0: 12/09/2017 11:42:51:  Finished Mini-Epoch[3]: CrossEntropyWithSoftmax = 1.57441847 * 10304; EvalClassificationError = 0.45477484 * 10304; learningRatePerSample = 0.001953125; minibatchSize = 64
MPI Rank 0: ValidateSubNetwork: InvStdOfFeatures InvStdDev operation changed, from [363 x 1] to [363].ValidateSubNetwork: MeanOfFeatures Mean operation changed, from [363 x 1] to [363].ValidateSubNetwork: Prior Mean operation changed, from [132 x 1] to [132].12/09/2017 11:42:51:  AdaptiveMinibatchSearch Epoch[3]: Computed baseCriterion 1.57441847 for minibatchSize=64
MPI Rank 0: 12/09/2017 11:42:51:  AdaptiveMinibatchSearch Epoch[3]: Evaluating trial minibatchSize=64 (search range: 64..128)...
MPI Rank 0: minibatchiterator: epoch 2: frames [163840..245760] (first utterance at frame 163840), data subset 0 of 2, with 1 datapasses
MPI Rank 0: 
MPI Rank 0: 12/09/2017 11:42:51: Starting minibatch loop, DataParallelSGD training (myRank = 0, numNodes = 2, numGradientBits = 2), distributed reading is ENABLED.
MPI Rank 0: 12/09/2017 11:42:51:   AdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[   1-  10, 0.78%]: CrossEntropyWithSoftmax = 1.47560749 * 640; EvalClassificationError = 0.43906250 * 640; time = 0.0522s; samplesPerSecond = 12265.0
MPI Rank 0: 12/09/2017 11:42:51:   AdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  11-  20, 1.56%]: CrossEntropyWithSoftmax = 1.65277581 * 640; EvalClassificationError = 0.49843750 * 640; time = 0.0530s; samplesPerSecond = 12082.9
MPI Rank 0: 12/09/2017 11:42:51:   AdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  21-  30, 2.34%]: CrossEntropyWithSoftmax = 1.47151219 * 640; EvalClassificationError = 0.40781250 * 640; time = 0.0529s; samplesPerSecond = 12094.3
MPI Rank 0: 12/09/2017 11:42:51:   AdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  31-  40, 3.12%]: CrossEntropyWithSoftmax = 1.59771427 * 640; EvalClassificationError = 0.47500000 * 640; time = 0.0531s; samplesPerSecond = 12061.9
MPI Rank 0: 12/09/2017 11:42:51:   AdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  41-  50, 3.91%]: CrossEntropyWithSoftmax = 1.52571929 * 640; EvalClassificationError = 0.44531250 * 640; time = 0.0526s; samplesPerSecond = 12167.5
MPI Rank 0: 12/09/2017 11:42:51:   AdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  51-  60, 4.69%]: CrossEntropyWithSoftmax = 1.62427027 * 640; EvalClassificationError = 0.44843750 * 640; time = 0.0527s; samplesPerSecond = 12151.4
MPI Rank 0: 12/09/2017 11:42:51:   AdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  61-  70, 5.47%]: CrossEntropyWithSoftmax = 1.59867341 * 640; EvalClassificationError = 0.46406250 * 640; time = 0.0526s; samplesPerSecond = 12158.3
MPI Rank 0: 12/09/2017 11:42:51:   AdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  71-  80, 6.25%]: CrossEntropyWithSoftmax = 1.56264480 * 640; EvalClassificationError = 0.44375000 * 640; time = 0.0524s; samplesPerSecond = 12211.9
MPI Rank 0: 12/09/2017 11:42:51:   AdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  81-  90, 7.03%]: CrossEntropyWithSoftmax = 1.60800660 * 640; EvalClassificationError = 0.46875000 * 640; time = 0.0529s; samplesPerSecond = 12095.9
MPI Rank 0: 12/09/2017 11:42:51:   AdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  91- 100, 7.81%]: CrossEntropyWithSoftmax = 1.68074925 * 640; EvalClassificationError = 0.50000000 * 640; time = 0.0525s; samplesPerSecond = 12193.1
MPI Rank 0: 12/09/2017 11:42:52:   AdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[ 101- 110, 8.59%]: CrossEntropyWithSoftmax = 1.56472610 * 640; EvalClassificationError = 0.45781250 * 640; time = 0.0533s; samplesPerSecond = 12014.9
MPI Rank 0: 12/09/2017 11:42:52:   AdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[ 111- 120, 9.38%]: CrossEntropyWithSoftmax = 1.66516765 * 640; EvalClassificationError = 0.47968750 * 640; time = 0.0528s; samplesPerSecond = 12114.0
MPI Rank 0: 12/09/2017 11:42:52:   AdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[ 121- 130, 10.16%]: CrossEntropyWithSoftmax = 1.57016286 * 640; EvalClassificationError = 0.46093750 * 640; time = 0.0524s; samplesPerSecond = 12207.3
MPI Rank 0: 12/09/2017 11:42:52:   AdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[ 131- 140, 10.94%]: CrossEntropyWithSoftmax = 1.45411407 * 640; EvalClassificationError = 0.39375000 * 640; time = 0.0531s; samplesPerSecond = 12042.3
MPI Rank 0: 12/09/2017 11:42:52:   AdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[ 141- 150, 11.72%]: CrossEntropyWithSoftmax = 1.55003068 * 640; EvalClassificationError = 0.41718750 * 640; time = 0.0528s; samplesPerSecond = 12115.9
MPI Rank 0: 12/09/2017 11:42:52:   AdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[ 151- 160, 12.50%]: CrossEntropyWithSoftmax = 1.58598391 * 640; EvalClassificationError = 0.47031250 * 640; time = 0.0527s; samplesPerSecond = 12147.6
MPI Rank 0: 12/09/2017 11:42:52:  Finished Mini-Epoch[3]: CrossEntropyWithSoftmax = 1.57441847 * 10304; EvalClassificationError = 0.45477484 * 10304; learningRatePerSample = 0.001953125; minibatchSize = 64
MPI Rank 0: ValidateSubNetwork: InvStdOfFeatures InvStdDev operation changed, from [363 x 1] to [363].ValidateSubNetwork: MeanOfFeatures Mean operation changed, from [363 x 1] to [363].ValidateSubNetwork: Prior Mean operation changed, from [132 x 1] to [132].12/09/2017 11:42:52:  AdaptiveMinibatchSearch Epoch[3]: Keep searching... epochCriterion = 1.57441847 vs. baseCriterion = 1.57441847
MPI Rank 0: 12/09/2017 11:42:52:  AdaptiveMinibatchSearch Epoch[3]: Evaluating trial minibatchSize=128 (search range: 64..128)...
MPI Rank 0: minibatchiterator: epoch 2: frames [163840..245760] (first utterance at frame 163840), data subset 0 of 2, with 1 datapasses
MPI Rank 0: 
MPI Rank 0: 12/09/2017 11:42:52: Starting minibatch loop, DataParallelSGD training (myRank = 0, numNodes = 2, numGradientBits = 2), distributed reading is ENABLED.
MPI Rank 0: 12/09/2017 11:42:52:   AdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[   1-  10, 1.56%]: CrossEntropyWithSoftmax = 1.56331488 * 1280; EvalClassificationError = 0.46718750 * 1280; time = 0.0695s; samplesPerSecond = 18428.7
MPI Rank 0: 12/09/2017 11:42:52:   AdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  11-  20, 3.12%]: CrossEntropyWithSoftmax = 1.53859310 * 1280; EvalClassificationError = 0.45312500 * 1280; time = 0.0696s; samplesPerSecond = 18386.9
MPI Rank 0: 12/09/2017 11:42:52:   AdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  21-  30, 4.69%]: CrossEntropyWithSoftmax = 1.58468572 * 1280; EvalClassificationError = 0.44687500 * 1280; time = 0.0701s; samplesPerSecond = 18248.2
MPI Rank 0: 12/09/2017 11:42:52:   AdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  31-  40, 6.25%]: CrossEntropyWithSoftmax = 1.58954713 * 1280; EvalClassificationError = 0.46484375 * 1280; time = 0.0690s; samplesPerSecond = 18543.8
MPI Rank 0: 12/09/2017 11:42:52:   AdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  41-  50, 7.81%]: CrossEntropyWithSoftmax = 1.66375629 * 1280; EvalClassificationError = 0.48593750 * 1280; time = 0.0699s; samplesPerSecond = 18298.8
MPI Rank 0: 12/09/2017 11:42:52:   AdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  51-  60, 9.38%]: CrossEntropyWithSoftmax = 1.64607406 * 1280; EvalClassificationError = 0.47578125 * 1280; time = 0.0695s; samplesPerSecond = 18407.5
MPI Rank 0: 12/09/2017 11:42:52:   AdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  61-  70, 10.94%]: CrossEntropyWithSoftmax = 1.59827039 * 1280; EvalClassificationError = 0.44609375 * 1280; time = 0.0697s; samplesPerSecond = 18373.8
MPI Rank 0: 12/09/2017 11:42:52:   AdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  71-  80, 12.50%]: CrossEntropyWithSoftmax = 1.65403307 * 1280; EvalClassificationError = 0.46718750 * 1280; time = 0.0695s; samplesPerSecond = 18416.6
MPI Rank 0: 12/09/2017 11:42:52:  Finished Mini-Epoch[3]: CrossEntropyWithSoftmax = 1.60615351 * 10368; EvalClassificationError = 0.46412037 * 10368; learningRatePerSample = 0.001953125; minibatchSize = 128
MPI Rank 0: ValidateSubNetwork: InvStdOfFeatures InvStdDev operation changed, from [363 x 1] to [363].ValidateSubNetwork: MeanOfFeatures Mean operation changed, from [363 x 1] to [363].ValidateSubNetwork: Prior Mean operation changed, from [132 x 1] to [132].12/09/2017 11:42:52:  AdaptiveMinibatchSearch Epoch[3]: Search successful. New minibatchSize is 64. epochCriterion = 1.57441847 vs baseCriterion = 1.57441847
MPI Rank 0: 
MPI Rank 0: 12/09/2017 11:42:52: Starting Epoch 3: learning rate per sample = 0.001953  effective momentum = 0.939413  momentum as time constant = 1024.0 samples
MPI Rank 0: minibatchiterator: epoch 2: frames [163840..245760] (first utterance at frame 163840), data subset 0 of 2, with 1 datapasses
MPI Rank 0: 
MPI Rank 0: 12/09/2017 11:42:52: Starting minibatch loop, DataParallelSGD training (myRank = 0, numNodes = 2, numGradientBits = 2), distributed reading is ENABLED.
MPI Rank 0: 12/09/2017 11:42:53:  Epoch[ 3 of 3]-Minibatch[   1-  10, 0.78%]: CrossEntropyWithSoftmax = 1.47560749 * 640; EvalClassificationError = 0.43906250 * 640; time = 0.0519s; samplesPerSecond = 12333.2
MPI Rank 0: 12/09/2017 11:42:53:  Epoch[ 3 of 3]-Minibatch[  11-  20, 1.56%]: CrossEntropyWithSoftmax = 1.65277581 * 640; EvalClassificationError = 0.49843750 * 640; time = 0.0530s; samplesPerSecond = 12065.7
MPI Rank 0: 12/09/2017 11:42:53:  Epoch[ 3 of 3]-Minibatch[  21-  30, 2.34%]: CrossEntropyWithSoftmax = 1.47151219 * 640; EvalClassificationError = 0.40781250 * 640; time = 0.0538s; samplesPerSecond = 11896.6
MPI Rank 0: 12/09/2017 11:42:53:  Epoch[ 3 of 3]-Minibatch[  31-  40, 3.12%]: CrossEntropyWithSoftmax = 1.59771427 * 640; EvalClassificationError = 0.47500000 * 640; time = 0.0532s; samplesPerSecond = 12033.9
MPI Rank 0: 12/09/2017 11:42:53:  Epoch[ 3 of 3]-Minibatch[  41-  50, 3.91%]: CrossEntropyWithSoftmax = 1.52571929 * 640; EvalClassificationError = 0.44531250 * 640; time = 0.0526s; samplesPerSecond = 12169.5
MPI Rank 0: 12/09/2017 11:42:53:  Epoch[ 3 of 3]-Minibatch[  51-  60, 4.69%]: CrossEntropyWithSoftmax = 1.62427027 * 640; EvalClassificationError = 0.44843750 * 640; time = 0.0525s; samplesPerSecond = 12180.0
MPI Rank 0: 12/09/2017 11:42:53:  Epoch[ 3 of 3]-Minibatch[  61-  70, 5.47%]: CrossEntropyWithSoftmax = 1.59867341 * 640; EvalClassificationError = 0.46406250 * 640; time = 0.0526s; samplesPerSecond = 12172.3
MPI Rank 0: 12/09/2017 11:42:53:  Epoch[ 3 of 3]-Minibatch[  71-  80, 6.25%]: CrossEntropyWithSoftmax = 1.56264480 * 640; EvalClassificationError = 0.44375000 * 640; time = 0.0530s; samplesPerSecond = 12079.3
MPI Rank 0: 12/09/2017 11:42:53:  Epoch[ 3 of 3]-Minibatch[  81-  90, 7.03%]: CrossEntropyWithSoftmax = 1.60800660 * 640; EvalClassificationError = 0.46875000 * 640; time = 0.0528s; samplesPerSecond = 12124.3
MPI Rank 0: 12/09/2017 11:42:53:  Epoch[ 3 of 3]-Minibatch[  91- 100, 7.81%]: CrossEntropyWithSoftmax = 1.68074925 * 640; EvalClassificationError = 0.50000000 * 640; time = 0.0524s; samplesPerSecond = 12203.2
MPI Rank 0: 12/09/2017 11:42:53:  Epoch[ 3 of 3]-Minibatch[ 101- 110, 8.59%]: CrossEntropyWithSoftmax = 1.56472610 * 640; EvalClassificationError = 0.45781250 * 640; time = 0.0534s; samplesPerSecond = 11980.4
MPI Rank 0: 12/09/2017 11:42:53:  Epoch[ 3 of 3]-Minibatch[ 111- 120, 9.38%]: CrossEntropyWithSoftmax = 1.66516765 * 640; EvalClassificationError = 0.47968750 * 640; time = 0.0529s; samplesPerSecond = 12105.8
MPI Rank 0: 12/09/2017 11:42:53:  Epoch[ 3 of 3]-Minibatch[ 121- 130, 10.16%]: CrossEntropyWithSoftmax = 1.57016286 * 640; EvalClassificationError = 0.46093750 * 640; time = 0.0525s; samplesPerSecond = 12200.6
MPI Rank 0: 12/09/2017 11:42:53:  Epoch[ 3 of 3]-Minibatch[ 131- 140, 10.94%]: CrossEntropyWithSoftmax = 1.45411407 * 640; EvalClassificationError = 0.39375000 * 640; time = 0.0531s; samplesPerSecond = 12058.6
MPI Rank 0: 12/09/2017 11:42:53:  Epoch[ 3 of 3]-Minibatch[ 141- 150, 11.72%]: CrossEntropyWithSoftmax = 1.55003068 * 640; EvalClassificationError = 0.41718750 * 640; time = 0.0528s; samplesPerSecond = 12127.7
MPI Rank 0: 12/09/2017 11:42:53:  Epoch[ 3 of 3]-Minibatch[ 151- 160, 12.50%]: CrossEntropyWithSoftmax = 1.58598391 * 640; EvalClassificationError = 0.47031250 * 640; time = 0.0528s; samplesPerSecond = 12130.0
MPI Rank 0: 12/09/2017 11:42:53:  Epoch[ 3 of 3]-Minibatch[ 161- 170, 13.28%]: CrossEntropyWithSoftmax = 1.58500389 * 640; EvalClassificationError = 0.48125000 * 640; time = 0.0530s; samplesPerSecond = 12065.0
MPI Rank 0: 12/09/2017 11:42:53:  Epoch[ 3 of 3]-Minibatch[ 171- 180, 14.06%]: CrossEntropyWithSoftmax = 1.50995410 * 640; EvalClassificationError = 0.44531250 * 640; time = 0.0525s; samplesPerSecond = 12193.6
MPI Rank 0: 12/09/2017 11:42:53:  Epoch[ 3 of 3]-Minibatch[ 181- 190, 14.84%]: CrossEntropyWithSoftmax = 1.60087246 * 640; EvalClassificationError = 0.47968750 * 640; time = 0.0529s; samplesPerSecond = 12095.4
MPI Rank 0: 12/09/2017 11:42:54:  Epoch[ 3 of 3]-Minibatch[ 191- 200, 15.62%]: CrossEntropyWithSoftmax = 1.52570395 * 640; EvalClassificationError = 0.45781250 * 640; time = 0.0527s; samplesPerSecond = 12152.2
MPI Rank 0: 12/09/2017 11:42:54:  Epoch[ 3 of 3]-Minibatch[ 201- 210, 16.41%]: CrossEntropyWithSoftmax = 1.54120691 * 640; EvalClassificationError = 0.46718750 * 640; time = 0.0531s; samplesPerSecond = 12060.2
MPI Rank 0: 12/09/2017 11:42:54:  Epoch[ 3 of 3]-Minibatch[ 211- 220, 17.19%]: CrossEntropyWithSoftmax = 1.54592362 * 640; EvalClassificationError = 0.45937500 * 640; time = 0.0528s; samplesPerSecond = 12122.7
MPI Rank 0: 12/09/2017 11:42:54:  Epoch[ 3 of 3]-Minibatch[ 221- 230, 17.97%]: CrossEntropyWithSoftmax = 1.47655899 * 640; EvalClassificationError = 0.42343750 * 640; time = 0.0527s; samplesPerSecond = 12133.6
MPI Rank 0: 12/09/2017 11:42:54:  Epoch[ 3 of 3]-Minibatch[ 231- 240, 18.75%]: CrossEntropyWithSoftmax = 1.56637265 * 640; EvalClassificationError = 0.46562500 * 640; time = 0.0531s; samplesPerSecond = 12043.4
MPI Rank 0: 12/09/2017 11:42:54:  Epoch[ 3 of 3]-Minibatch[ 241- 250, 19.53%]: CrossEntropyWithSoftmax = 1.47762918 * 640; EvalClassificationError = 0.42968750 * 640; time = 0.0525s; samplesPerSecond = 12200.4
MPI Rank 0: 12/09/2017 11:42:54:  Epoch[ 3 of 3]-Minibatch[ 251- 260, 20.31%]: CrossEntropyWithSoftmax = 1.60975712 * 640; EvalClassificationError = 0.45625000 * 640; time = 0.0531s; samplesPerSecond = 12057.6
MPI Rank 0: 12/09/2017 11:42:54:  Epoch[ 3 of 3]-Minibatch[ 261- 270, 21.09%]: CrossEntropyWithSoftmax = 1.62304628 * 640; EvalClassificationError = 0.46718750 * 640; time = 0.0529s; samplesPerSecond = 12100.1
MPI Rank 0: 12/09/2017 11:42:54:  Epoch[ 3 of 3]-Minibatch[ 271- 280, 21.88%]: CrossEntropyWithSoftmax = 1.44871642 * 640; EvalClassificationError = 0.42343750 * 640; time = 0.0534s; samplesPerSecond = 11979.3
MPI Rank 0: 12/09/2017 11:42:54:  Epoch[ 3 of 3]-Minibatch[ 281- 290, 22.66%]: CrossEntropyWithSoftmax = 1.59981719 * 640; EvalClassificationError = 0.48906250 * 640; time = 0.0529s; samplesPerSecond = 12090.4
MPI Rank 0: 12/09/2017 11:42:54:  Epoch[ 3 of 3]-Minibatch[ 291- 300, 23.44%]: CrossEntropyWithSoftmax = 1.52971094 * 640; EvalClassificationError = 0.45312500 * 640; time = 0.0525s; samplesPerSecond = 12185.3
MPI Rank 0: 12/09/2017 11:42:54:  Epoch[ 3 of 3]-Minibatch[ 301- 310, 24.22%]: CrossEntropyWithSoftmax = 1.50382695 * 640; EvalClassificationError = 0.42031250 * 640; time = 0.0527s; samplesPerSecond = 12149.2
MPI Rank 0: 12/09/2017 11:42:54:  Epoch[ 3 of 3]-Minibatch[ 311- 320, 25.00%]: CrossEntropyWithSoftmax = 1.53539699 * 640; EvalClassificationError = 0.45000000 * 640; time = 0.0528s; samplesPerSecond = 12129.8
MPI Rank 0: 12/09/2017 11:42:54:  Epoch[ 3 of 3]-Minibatch[ 321- 330, 25.78%]: CrossEntropyWithSoftmax = 1.50756866 * 640; EvalClassificationError = 0.44218750 * 640; time = 0.0529s; samplesPerSecond = 12104.3
MPI Rank 0: 12/09/2017 11:42:54:  Epoch[ 3 of 3]-Minibatch[ 331- 340, 26.56%]: CrossEntropyWithSoftmax = 1.58865587 * 640; EvalClassificationError = 0.46093750 * 640; time = 0.0524s; samplesPerSecond = 12214.1
MPI Rank 0: 12/09/2017 11:42:54:  Epoch[ 3 of 3]-Minibatch[ 341- 350, 27.34%]: CrossEntropyWithSoftmax = 1.47776139 * 640; EvalClassificationError = 0.42968750 * 640; time = 0.0528s; samplesPerSecond = 12132.5
MPI Rank 0: 12/09/2017 11:42:54:  Epoch[ 3 of 3]-Minibatch[ 351- 360, 28.12%]: CrossEntropyWithSoftmax = 1.59733313 * 640; EvalClassificationError = 0.45625000 * 640; time = 0.0530s; samplesPerSecond = 12082.3
MPI Rank 0: 12/09/2017 11:42:54:  Epoch[ 3 of 3]-Minibatch[ 361- 370, 28.91%]: CrossEntropyWithSoftmax = 1.51146583 * 640; EvalClassificationError = 0.43906250 * 640; time = 0.0526s; samplesPerSecond = 12165.8
MPI Rank 0: 12/09/2017 11:42:54:  Epoch[ 3 of 3]-Minibatch[ 371- 380, 29.69%]: CrossEntropyWithSoftmax = 1.52538916 * 640; EvalClassificationError = 0.46406250 * 640; time = 0.0528s; samplesPerSecond = 12117.5
MPI Rank 0: 12/09/2017 11:42:55:  Epoch[ 3 of 3]-Minibatch[ 381- 390, 30.47%]: CrossEntropyWithSoftmax = 1.59757744 * 640; EvalClassificationError = 0.44687500 * 640; time = 0.0523s; samplesPerSecond = 12234.9
MPI Rank 0: 12/09/2017 11:42:55:  Epoch[ 3 of 3]-Minibatch[ 391- 400, 31.25%]: CrossEntropyWithSoftmax = 1.51504740 * 640; EvalClassificationError = 0.41093750 * 640; time = 0.0526s; samplesPerSecond = 12168.6
MPI Rank 0: 12/09/2017 11:42:55:  Epoch[ 3 of 3]-Minibatch[ 401- 410, 32.03%]: CrossEntropyWithSoftmax = 1.47928144 * 640; EvalClassificationError = 0.42656250 * 640; time = 0.0527s; samplesPerSecond = 12140.0
MPI Rank 0: 12/09/2017 11:42:55:  Epoch[ 3 of 3]-Minibatch[ 411- 420, 32.81%]: CrossEntropyWithSoftmax = 1.60885547 * 640; EvalClassificationError = 0.46250000 * 640; time = 0.0529s; samplesPerSecond = 12089.3
MPI Rank 0: 12/09/2017 11:42:55:  Epoch[ 3 of 3]-Minibatch[ 421- 430, 33.59%]: CrossEntropyWithSoftmax = 1.63616297 * 640; EvalClassificationError = 0.48281250 * 640; time = 0.0526s; samplesPerSecond = 12167.5
MPI Rank 0: 12/09/2017 11:42:55:  Epoch[ 3 of 3]-Minibatch[ 431- 440, 34.38%]: CrossEntropyWithSoftmax = 1.48876564 * 640; EvalClassificationError = 0.44218750 * 640; time = 0.0528s; samplesPerSecond = 12111.6
MPI Rank 0: 12/09/2017 11:42:55:  Epoch[ 3 of 3]-Minibatch[ 441- 450, 35.16%]: CrossEntropyWithSoftmax = 1.48175017 * 640; EvalClassificationError = 0.44218750 * 640; time = 0.0527s; samplesPerSecond = 12147.5
MPI Rank 0: 12/09/2017 11:42:55:  Epoch[ 3 of 3]-Minibatch[ 451- 460, 35.94%]: CrossEntropyWithSoftmax = 1.65849137 * 640; EvalClassificationError = 0.48906250 * 640; time = 0.0532s; samplesPerSecond = 12033.4
MPI Rank 0: 12/09/2017 11:42:55:  Epoch[ 3 of 3]-Minibatch[ 461- 470, 36.72%]: CrossEntropyWithSoftmax = 1.46101452 * 640; EvalClassificationError = 0.42656250 * 640; time = 0.0531s; samplesPerSecond = 12057.0
MPI Rank 0: 12/09/2017 11:42:55:  Epoch[ 3 of 3]-Minibatch[ 471- 480, 37.50%]: CrossEntropyWithSoftmax = 1.55012640 * 640; EvalClassificationError = 0.45000000 * 640; time = 0.0531s; samplesPerSecond = 12061.4
MPI Rank 0: 12/09/2017 11:42:55:  Epoch[ 3 of 3]-Minibatch[ 481- 490, 38.28%]: CrossEntropyWithSoftmax = 1.43306114 * 640; EvalClassificationError = 0.41718750 * 640; time = 0.0529s; samplesPerSecond = 12098.6
MPI Rank 0: 12/09/2017 11:42:55:  Epoch[ 3 of 3]-Minibatch[ 491- 500, 39.06%]: CrossEntropyWithSoftmax = 1.56409192 * 640; EvalClassificationError = 0.44531250 * 640; time = 0.0526s; samplesPerSecond = 12174.8
MPI Rank 0: 12/09/2017 11:42:55:  Epoch[ 3 of 3]-Minibatch[ 501- 510, 39.84%]: CrossEntropyWithSoftmax = 1.52598529 * 640; EvalClassificationError = 0.44531250 * 640; time = 0.0529s; samplesPerSecond = 12105.0
MPI Rank 0: 12/09/2017 11:42:55:  Epoch[ 3 of 3]-Minibatch[ 511- 520, 40.62%]: CrossEntropyWithSoftmax = 1.29943175 * 640; EvalClassificationError = 0.38125000 * 640; time = 0.0529s; samplesPerSecond = 12101.9
MPI Rank 0: 12/09/2017 11:42:55:  Epoch[ 3 of 3]-Minibatch[ 521- 530, 41.41%]: CrossEntropyWithSoftmax = 1.49960624 * 640; EvalClassificationError = 0.46718750 * 640; time = 0.0531s; samplesPerSecond = 12059.9
MPI Rank 0: 12/09/2017 11:42:55:  Epoch[ 3 of 3]-Minibatch[ 531- 540, 42.19%]: CrossEntropyWithSoftmax = 1.59282074 * 640; EvalClassificationError = 0.46406250 * 640; time = 0.0530s; samplesPerSecond = 12083.2
MPI Rank 0: 12/09/2017 11:42:55:  Epoch[ 3 of 3]-Minibatch[ 541- 550, 42.97%]: CrossEntropyWithSoftmax = 1.38129588 * 640; EvalClassificationError = 0.40781250 * 640; time = 0.0531s; samplesPerSecond = 12055.5
MPI Rank 0: 12/09/2017 11:42:55:  Epoch[ 3 of 3]-Minibatch[ 551- 560, 43.75%]: CrossEntropyWithSoftmax = 1.55171228 * 640; EvalClassificationError = 0.44843750 * 640; time = 0.0528s; samplesPerSecond = 12116.6
MPI Rank 0: 12/09/2017 11:42:55:  Epoch[ 3 of 3]-Minibatch[ 561- 570, 44.53%]: CrossEntropyWithSoftmax = 1.47382024 * 640; EvalClassificationError = 0.44687500 * 640; time = 0.0529s; samplesPerSecond = 12093.9
MPI Rank 0: 12/09/2017 11:42:56:  Epoch[ 3 of 3]-Minibatch[ 571- 580, 45.31%]: CrossEntropyWithSoftmax = 1.57421313 * 640; EvalClassificationError = 0.46250000 * 640; time = 0.0526s; samplesPerSecond = 12172.7
MPI Rank 0: 12/09/2017 11:42:56:  Epoch[ 3 of 3]-Minibatch[ 581- 590, 46.09%]: CrossEntropyWithSoftmax = 1.43950626 * 640; EvalClassificationError = 0.42343750 * 640; time = 0.0532s; samplesPerSecond = 12021.3
MPI Rank 0: 12/09/2017 11:42:56:  Epoch[ 3 of 3]-Minibatch[ 591- 600, 46.88%]: CrossEntropyWithSoftmax = 1.52461210 * 640; EvalClassificationError = 0.45468750 * 640; time = 0.0529s; samplesPerSecond = 12089.8
MPI Rank 0: 12/09/2017 11:42:56:  Epoch[ 3 of 3]-Minibatch[ 601- 610, 47.66%]: CrossEntropyWithSoftmax = 1.42487734 * 640; EvalClassificationError = 0.42343750 * 640; time = 0.0528s; samplesPerSecond = 12118.0
MPI Rank 0: 12/09/2017 11:42:56:  Epoch[ 3 of 3]-Minibatch[ 611- 620, 48.44%]: CrossEntropyWithSoftmax = 1.46388013 * 640; EvalClassificationError = 0.43437500 * 640; time = 0.0524s; samplesPerSecond = 12207.3
MPI Rank 0: 12/09/2017 11:42:56:  Epoch[ 3 of 3]-Minibatch[ 621- 630, 49.22%]: CrossEntropyWithSoftmax = 1.42437471 * 640; EvalClassificationError = 0.42812500 * 640; time = 0.0524s; samplesPerSecond = 12204.4
MPI Rank 0: 12/09/2017 11:42:56:  Epoch[ 3 of 3]-Minibatch[ 631- 640, 50.00%]: CrossEntropyWithSoftmax = 1.47678406 * 640; EvalClassificationError = 0.43437500 * 640; time = 0.0529s; samplesPerSecond = 12089.0
MPI Rank 0: 12/09/2017 11:42:56:  Epoch[ 3 of 3]-Minibatch[ 641- 650, 50.78%]: CrossEntropyWithSoftmax = 1.53488713 * 640; EvalClassificationError = 0.42343750 * 640; time = 0.0535s; samplesPerSecond = 11961.0
MPI Rank 0: 12/09/2017 11:42:56:  Epoch[ 3 of 3]-Minibatch[ 651- 660, 51.56%]: CrossEntropyWithSoftmax = 1.58766695 * 640; EvalClassificationError = 0.46718750 * 640; time = 0.0532s; samplesPerSecond = 12038.9
MPI Rank 0: 12/09/2017 11:42:56:  Epoch[ 3 of 3]-Minibatch[ 661- 670, 52.34%]: CrossEntropyWithSoftmax = 1.50941338 * 640; EvalClassificationError = 0.44531250 * 640; time = 0.0525s; samplesPerSecond = 12186.2
MPI Rank 0: 12/09/2017 11:42:56:  Epoch[ 3 of 3]-Minibatch[ 671- 680, 53.12%]: CrossEntropyWithSoftmax = 1.44956445 * 640; EvalClassificationError = 0.41250000 * 640; time = 0.0528s; samplesPerSecond = 12111.6
MPI Rank 0: 12/09/2017 11:42:56:  Epoch[ 3 of 3]-Minibatch[ 681- 690, 53.91%]: CrossEntropyWithSoftmax = 1.46774913 * 640; EvalClassificationError = 0.45937500 * 640; time = 0.0525s; samplesPerSecond = 12193.1
MPI Rank 0: 12/09/2017 11:42:56:  Epoch[ 3 of 3]-Minibatch[ 691- 700, 54.69%]: CrossEntropyWithSoftmax = 1.57015313 * 640; EvalClassificationError = 0.45000000 * 640; time = 0.0524s; samplesPerSecond = 12223.8
MPI Rank 0: 12/09/2017 11:42:56:  Epoch[ 3 of 3]-Minibatch[ 701- 710, 55.47%]: CrossEntropyWithSoftmax = 1.42095671 * 640; EvalClassificationError = 0.40000000 * 640; time = 0.0524s; samplesPerSecond = 12221.8
MPI Rank 0: 12/09/2017 11:42:56:  Epoch[ 3 of 3]-Minibatch[ 711- 720, 56.25%]: CrossEntropyWithSoftmax = 1.43819924 * 640; EvalClassificationError = 0.43750000 * 640; time = 0.0526s; samplesPerSecond = 12176.1
MPI Rank 0: 12/09/2017 11:42:56:  Epoch[ 3 of 3]-Minibatch[ 721- 730, 57.03%]: CrossEntropyWithSoftmax = 1.43732853 * 640; EvalClassificationError = 0.41250000 * 640; time = 0.0530s; samplesPerSecond = 12086.1
MPI Rank 0: 12/09/2017 11:42:56:  Epoch[ 3 of 3]-Minibatch[ 731- 740, 57.81%]: CrossEntropyWithSoftmax = 1.42679702 * 640; EvalClassificationError = 0.42968750 * 640; time = 0.0532s; samplesPerSecond = 12035.8
MPI Rank 0: 12/09/2017 11:42:56:  Epoch[ 3 of 3]-Minibatch[ 741- 750, 58.59%]: CrossEntropyWithSoftmax = 1.46551969 * 640; EvalClassificationError = 0.43125000 * 640; time = 0.0524s; samplesPerSecond = 12221.2
MPI Rank 0: 12/09/2017 11:42:56:  Epoch[ 3 of 3]-Minibatch[ 751- 760, 59.38%]: CrossEntropyWithSoftmax = 1.49355950 * 640; EvalClassificationError = 0.44218750 * 640; time = 0.0530s; samplesPerSecond = 12086.8
MPI Rank 0: 12/09/2017 11:42:57:  Epoch[ 3 of 3]-Minibatch[ 761- 770, 60.16%]: CrossEntropyWithSoftmax = 1.33640412 * 640; EvalClassificationError = 0.40781250 * 640; time = 0.0525s; samplesPerSecond = 12185.6
MPI Rank 0: 12/09/2017 11:42:57:  Epoch[ 3 of 3]-Minibatch[ 771- 780, 60.94%]: CrossEntropyWithSoftmax = 1.45595946 * 640; EvalClassificationError = 0.43750000 * 640; time = 0.0527s; samplesPerSecond = 12146.4
MPI Rank 0: 12/09/2017 11:42:57:  Epoch[ 3 of 3]-Minibatch[ 781- 790, 61.72%]: CrossEntropyWithSoftmax = 1.36981925 * 640; EvalClassificationError = 0.40156250 * 640; time = 0.0527s; samplesPerSecond = 12146.1
MPI Rank 0: 12/09/2017 11:42:57:  Epoch[ 3 of 3]-Minibatch[ 791- 800, 62.50%]: CrossEntropyWithSoftmax = 1.48424307 * 640; EvalClassificationError = 0.45156250 * 640; time = 0.0530s; samplesPerSecond = 12070.8
MPI Rank 0: 12/09/2017 11:42:57:  Epoch[ 3 of 3]-Minibatch[ 801- 810, 63.28%]: CrossEntropyWithSoftmax = 1.34010653 * 640; EvalClassificationError = 0.40312500 * 640; time = 0.0528s; samplesPerSecond = 12116.6
MPI Rank 0: 12/09/2017 11:42:57:  Epoch[ 3 of 3]-Minibatch[ 811- 820, 64.06%]: CrossEntropyWithSoftmax = 1.44154789 * 640; EvalClassificationError = 0.42812500 * 640; time = 0.0528s; samplesPerSecond = 12124.6
MPI Rank 0: 12/09/2017 11:42:57:  Epoch[ 3 of 3]-Minibatch[ 821- 830, 64.84%]: CrossEntropyWithSoftmax = 1.51012621 * 640; EvalClassificationError = 0.42812500 * 640; time = 0.0529s; samplesPerSecond = 12102.2
MPI Rank 0: 12/09/2017 11:42:57:  Epoch[ 3 of 3]-Minibatch[ 831- 840, 65.62%]: CrossEntropyWithSoftmax = 1.49159279 * 640; EvalClassificationError = 0.43750000 * 640; time = 0.0528s; samplesPerSecond = 12126.3
MPI Rank 0: 12/09/2017 11:42:57:  Epoch[ 3 of 3]-Minibatch[ 841- 850, 66.41%]: CrossEntropyWithSoftmax = 1.50971484 * 640; EvalClassificationError = 0.44687500 * 640; time = 0.0527s; samplesPerSecond = 12153.7
MPI Rank 0: 12/09/2017 11:42:57:  Epoch[ 3 of 3]-Minibatch[ 851- 860, 67.19%]: CrossEntropyWithSoftmax = 1.41205238 * 640; EvalClassificationError = 0.40937500 * 640; time = 0.0536s; samplesPerSecond = 11942.1
MPI Rank 0: 12/09/2017 11:42:57:  Epoch[ 3 of 3]-Minibatch[ 861- 870, 67.97%]: CrossEntropyWithSoftmax = 1.50817799 * 640; EvalClassificationError = 0.43281250 * 640; time = 0.0528s; samplesPerSecond = 12118.9
MPI Rank 0: 12/09/2017 11:42:57:  Epoch[ 3 of 3]-Minibatch[ 871- 880, 68.75%]: CrossEntropyWithSoftmax = 1.50565825 * 640; EvalClassificationError = 0.45000000 * 640; time = 0.0525s; samplesPerSecond = 12190.1
MPI Rank 0: 12/09/2017 11:42:57:  Epoch[ 3 of 3]-Minibatch[ 881- 890, 69.53%]: CrossEntropyWithSoftmax = 1.43965419 * 640; EvalClassificationError = 0.41875000 * 640; time = 0.0530s; samplesPerSecond = 12065.9
MPI Rank 0: 12/09/2017 11:42:57:  Epoch[ 3 of 3]-Minibatch[ 891- 900, 70.31%]: CrossEntropyWithSoftmax = 1.51281183 * 640; EvalClassificationError = 0.44843750 * 640; time = 0.0529s; samplesPerSecond = 12103.8
MPI Rank 0: 12/09/2017 11:42:57:  Epoch[ 3 of 3]-Minibatch[ 901- 910, 71.09%]: CrossEntropyWithSoftmax = 1.45543684 * 640; EvalClassificationError = 0.44843750 * 640; time = 0.0533s; samplesPerSecond = 12012.3
MPI Rank 0: 12/09/2017 11:42:57:  Epoch[ 3 of 3]-Minibatch[ 911- 920, 71.88%]: CrossEntropyWithSoftmax = 1.42405299 * 640; EvalClassificationError = 0.40468750 * 640; time = 0.0526s; samplesPerSecond = 12173.9
MPI Rank 0: 12/09/2017 11:42:57:  Epoch[ 3 of 3]-Minibatch[ 921- 930, 72.66%]: CrossEntropyWithSoftmax = 1.36821244 * 640; EvalClassificationError = 0.40156250 * 640; time = 0.0529s; samplesPerSecond = 12104.3
MPI Rank 0: 12/09/2017 11:42:57:  Epoch[ 3 of 3]-Minibatch[ 931- 940, 73.44%]: CrossEntropyWithSoftmax = 1.48320042 * 640; EvalClassificationError = 0.44218750 * 640; time = 0.0526s; samplesPerSecond = 12164.1
MPI Rank 0: 12/09/2017 11:42:57:  Epoch[ 3 of 3]-Minibatch[ 941- 950, 74.22%]: CrossEntropyWithSoftmax = 1.45219275 * 640; EvalClassificationError = 0.41093750 * 640; time = 0.0525s; samplesPerSecond = 12191.5
MPI Rank 0: 12/09/2017 11:42:58:  Epoch[ 3 of 3]-Minibatch[ 951- 960, 75.00%]: CrossEntropyWithSoftmax = 1.37537733 * 640; EvalClassificationError = 0.41718750 * 640; time = 0.0522s; samplesPerSecond = 12251.9
MPI Rank 0: 12/09/2017 11:42:58:  Epoch[ 3 of 3]-Minibatch[ 961- 970, 75.78%]: CrossEntropyWithSoftmax = 1.34279497 * 640; EvalClassificationError = 0.40000000 * 640; time = 0.0526s; samplesPerSecond = 12174.3
MPI Rank 0: 12/09/2017 11:42:58:  Epoch[ 3 of 3]-Minibatch[ 971- 980, 76.56%]: CrossEntropyWithSoftmax = 1.44800106 * 640; EvalClassificationError = 0.43281250 * 640; time = 0.0527s; samplesPerSecond = 12143.4
MPI Rank 0: 12/09/2017 11:42:58:  Epoch[ 3 of 3]-Minibatch[ 981- 990, 77.34%]: CrossEntropyWithSoftmax = 1.39898079 * 640; EvalClassificationError = 0.40625000 * 640; time = 0.0527s; samplesPerSecond = 12134.4
MPI Rank 0: 12/09/2017 11:42:58:  Epoch[ 3 of 3]-Minibatch[ 991-1000, 78.12%]: CrossEntropyWithSoftmax = 1.42998378 * 640; EvalClassificationError = 0.42968750 * 640; time = 0.0530s; samplesPerSecond = 12065.4
MPI Rank 0: 12/09/2017 11:42:58:  Epoch[ 3 of 3]-Minibatch[1001-1010, 78.91%]: CrossEntropyWithSoftmax = 1.44038007 * 640; EvalClassificationError = 0.43593750 * 640; time = 0.0530s; samplesPerSecond = 12086.4
MPI Rank 0: 12/09/2017 11:42:58:  Epoch[ 3 of 3]-Minibatch[1011-1020, 79.69%]: CrossEntropyWithSoftmax = 1.42901478 * 640; EvalClassificationError = 0.41718750 * 640; time = 0.0527s; samplesPerSecond = 12154.0
MPI Rank 0: 12/09/2017 11:42:58:  Epoch[ 3 of 3]-Minibatch[1021-1030, 80.47%]: CrossEntropyWithSoftmax = 1.41029634 * 640; EvalClassificationError = 0.41718750 * 640; time = 0.0523s; samplesPerSecond = 12231.8
MPI Rank 0: 12/09/2017 11:42:58:  Epoch[ 3 of 3]-Minibatch[1031-1040, 81.25%]: CrossEntropyWithSoftmax = 1.49719876 * 640; EvalClassificationError = 0.44375000 * 640; time = 0.0524s; samplesPerSecond = 12220.9
MPI Rank 0: 12/09/2017 11:42:58:  Epoch[ 3 of 3]-Minibatch[1041-1050, 82.03%]: CrossEntropyWithSoftmax = 1.47758011 * 640; EvalClassificationError = 0.43906250 * 640; time = 0.0528s; samplesPerSecond = 12120.5
MPI Rank 0: 12/09/2017 11:42:58:  Epoch[ 3 of 3]-Minibatch[1051-1060, 82.81%]: CrossEntropyWithSoftmax = 1.34170960 * 640; EvalClassificationError = 0.39531250 * 640; time = 0.0530s; samplesPerSecond = 12086.4
MPI Rank 0: 12/09/2017 11:42:58:  Epoch[ 3 of 3]-Minibatch[1061-1070, 83.59%]: CrossEntropyWithSoftmax = 1.45039943 * 640; EvalClassificationError = 0.43750000 * 640; time = 0.0530s; samplesPerSecond = 12073.7
MPI Rank 0: 12/09/2017 11:42:58:  Epoch[ 3 of 3]-Minibatch[1071-1080, 84.38%]: CrossEntropyWithSoftmax = 1.39622478 * 640; EvalClassificationError = 0.42343750 * 640; time = 0.0533s; samplesPerSecond = 12017.2
MPI Rank 0: 12/09/2017 11:42:58:  Epoch[ 3 of 3]-Minibatch[1081-1090, 85.16%]: CrossEntropyWithSoftmax = 1.45631530 * 640; EvalClassificationError = 0.43125000 * 640; time = 0.0530s; samplesPerSecond = 12068.3
MPI Rank 0: 12/09/2017 11:42:58:  Epoch[ 3 of 3]-Minibatch[1091-1100, 85.94%]: CrossEntropyWithSoftmax = 1.48396163 * 640; EvalClassificationError = 0.42656250 * 640; time = 0.0529s; samplesPerSecond = 12097.0
MPI Rank 0: 12/09/2017 11:42:58:  Epoch[ 3 of 3]-Minibatch[1101-1110, 86.72%]: CrossEntropyWithSoftmax = 1.45522685 * 640; EvalClassificationError = 0.45781250 * 640; time = 0.0562s; samplesPerSecond = 11381.5
MPI Rank 0: 12/09/2017 11:42:58:  Epoch[ 3 of 3]-Minibatch[1111-1120, 87.50%]: CrossEntropyWithSoftmax = 1.41045846 * 640; EvalClassificationError = 0.41093750 * 640; time = 0.0528s; samplesPerSecond = 12112.9
MPI Rank 0: 12/09/2017 11:42:58:  Epoch[ 3 of 3]-Minibatch[1121-1130, 88.28%]: CrossEntropyWithSoftmax = 1.46342489 * 640; EvalClassificationError = 0.43437500 * 640; time = 0.0535s; samplesPerSecond = 11972.6
MPI Rank 0: 12/09/2017 11:42:59:  Epoch[ 3 of 3]-Minibatch[1131-1140, 89.06%]: CrossEntropyWithSoftmax = 1.39275052 * 640; EvalClassificationError = 0.42812500 * 640; time = 0.0527s; samplesPerSecond = 12142.3
MPI Rank 0: 12/09/2017 11:42:59:  Epoch[ 3 of 3]-Minibatch[1141-1150, 89.84%]: CrossEntropyWithSoftmax = 1.35332063 * 640; EvalClassificationError = 0.40625000 * 640; time = 0.0530s; samplesPerSecond = 12086.6
MPI Rank 0: 12/09/2017 11:42:59:  Epoch[ 3 of 3]-Minibatch[1151-1160, 90.62%]: CrossEntropyWithSoftmax = 1.33033285 * 640; EvalClassificationError = 0.41406250 * 640; time = 0.0528s; samplesPerSecond = 12113.8
MPI Rank 0: 12/09/2017 11:42:59:  Epoch[ 3 of 3]-Minibatch[1161-1170, 91.41%]: CrossEntropyWithSoftmax = 1.39851854 * 640; EvalClassificationError = 0.41093750 * 640; time = 0.0525s; samplesPerSecond = 12190.3
MPI Rank 0: 12/09/2017 11:42:59:  Epoch[ 3 of 3]-Minibatch[1171-1180, 92.19%]: CrossEntropyWithSoftmax = 1.32897988 * 640; EvalClassificationError = 0.39375000 * 640; time = 0.0527s; samplesPerSecond = 12152.8
MPI Rank 0: 12/09/2017 11:42:59:  Epoch[ 3 of 3]-Minibatch[1181-1190, 92.97%]: CrossEntropyWithSoftmax = 1.40737264 * 640; EvalClassificationError = 0.43906250 * 640; time = 0.0529s; samplesPerSecond = 12092.2
MPI Rank 0: 12/09/2017 11:42:59:  Epoch[ 3 of 3]-Minibatch[1191-1200, 93.75%]: CrossEntropyWithSoftmax = 1.40879028 * 640; EvalClassificationError = 0.39218750 * 640; time = 0.0531s; samplesPerSecond = 12050.1
MPI Rank 0: 12/09/2017 11:42:59:  Epoch[ 3 of 3]-Minibatch[1201-1210, 94.53%]: CrossEntropyWithSoftmax = 1.23064851 * 640; EvalClassificationError = 0.39375000 * 640; time = 0.0528s; samplesPerSecond = 12116.9
MPI Rank 0: 12/09/2017 11:42:59:  Epoch[ 3 of 3]-Minibatch[1211-1220, 95.31%]: CrossEntropyWithSoftmax = 1.38284799 * 640; EvalClassificationError = 0.43125000 * 640; time = 0.0526s; samplesPerSecond = 12159.4
MPI Rank 0: 12/09/2017 11:42:59:  Epoch[ 3 of 3]-Minibatch[1221-1230, 96.09%]: CrossEntropyWithSoftmax = 1.49447827 * 640; EvalClassificationError = 0.42187500 * 640; time = 0.0527s; samplesPerSecond = 12153.5
MPI Rank 0: 12/09/2017 11:42:59:  Epoch[ 3 of 3]-Minibatch[1231-1240, 96.88%]: CrossEntropyWithSoftmax = 1.45547944 * 640; EvalClassificationError = 0.44375000 * 640; time = 0.0526s; samplesPerSecond = 12167.2
MPI Rank 0: 12/09/2017 11:42:59:  Epoch[ 3 of 3]-Minibatch[1241-1250, 97.66%]: CrossEntropyWithSoftmax = 1.39232690 * 640; EvalClassificationError = 0.41718750 * 640; time = 0.0527s; samplesPerSecond = 12145.4
MPI Rank 0: 12/09/2017 11:42:59:  Epoch[ 3 of 3]-Minibatch[1251-1260, 98.44%]: CrossEntropyWithSoftmax = 1.34876537 * 640; EvalClassificationError = 0.41250000 * 640; time = 0.0524s; samplesPerSecond = 12217.6
MPI Rank 0: 12/09/2017 11:42:59:  Epoch[ 3 of 3]-Minibatch[1261-1270, 99.22%]: CrossEntropyWithSoftmax = 1.41547092 * 640; EvalClassificationError = 0.42968750 * 640; time = 0.0527s; samplesPerSecond = 12142.6
MPI Rank 0: 12/09/2017 11:42:59:  Epoch[ 3 of 3]-Minibatch[1271-1280, 100.00%]: CrossEntropyWithSoftmax = 1.40630838 * 640; EvalClassificationError = 0.43281250 * 640; time = 0.0526s; samplesPerSecond = 12161.7
MPI Rank 0: 12/09/2017 11:42:59: Finished Epoch[ 3 of 3]: [Training] CrossEntropyWithSoftmax = 1.48405590 * 81920; EvalClassificationError = 0.43702393 * 81920; totalSamplesSeen = 245760; learningRatePerSample = 0.001953125; epochTime=9.17041s
MPI Rank 0: 12/09/2017 11:42:59: SGD: Saving checkpoint model '/tmp/cntk-test-20171209080859.615414/Speech/DNN_Parallel1BitQuantizationWithAutoMBScaling@release_gpu/models/cntkSpeech.dnn'
MPI Rank 0: 
MPI Rank 0: 12/09/2017 11:42:59: Action "train" complete.
MPI Rank 0: 
MPI Rank 0: 12/09/2017 11:42:59: __COMPLETED__
MPI Rank 1: CNTK 2.3.1+ (HEAD b130d7, Dec  8 2017 01:52:00) at 2017/12/09 11:42:32
MPI Rank 1: 
MPI Rank 1: /home/ubuntu/workspace/build/gpu/release/bin/cntk  configFile=/home/ubuntu/workspace/Tests/EndToEndTests/Speech/DNN/Parallel1BitQuantizationWithAutoMBScaling/cntk.cntk  currentDirectory=/home/ubuntu/workspace/Tests/EndToEndTests/Speech/Data  RunDir=/tmp/cntk-test-20171209080859.615414/Speech/DNN_Parallel1BitQuantizationWithAutoMBScaling@release_gpu  DataDir=/home/ubuntu/workspace/Tests/EndToEndTests/Speech/Data  ConfigDir=/home/ubuntu/workspace/Tests/EndToEndTests/Speech/DNN/Parallel1BitQuantizationWithAutoMBScaling  OutputDir=/tmp/cntk-test-20171209080859.615414/Speech/DNN_Parallel1BitQuantizationWithAutoMBScaling@release_gpu  DeviceId=0  timestamping=true  numCPUThreads=6  stderr=/tmp/cntk-test-20171209080859.615414/Speech/DNN_Parallel1BitQuantizationWithAutoMBScaling@release_gpu/stderr
MPI Rank 1: 12/09/2017 11:42:33: -------------------------------------------------------------------
MPI Rank 1: 12/09/2017 11:42:33: Build info: 
MPI Rank 1: 
MPI Rank 1: 12/09/2017 11:42:33: 		Built time: Dec  8 2017 01:46:20
MPI Rank 1: 12/09/2017 11:42:33: 		Last modified date: Wed Nov 15 09:27:10 2017
MPI Rank 1: 12/09/2017 11:42:33: 		Build type: release
MPI Rank 1: 12/09/2017 11:42:33: 		Build target: GPU
MPI Rank 1: 12/09/2017 11:42:33: 		With ASGD: yes
MPI Rank 1: 12/09/2017 11:42:33: 		Math lib: mkl
MPI Rank 1: 12/09/2017 11:42:33: 		CUDA version: 9.0.0
MPI Rank 1: 12/09/2017 11:42:33: 		CUDNN version: 7.0.4
MPI Rank 1: 12/09/2017 11:42:33: 		Build Branch: HEAD
MPI Rank 1: 12/09/2017 11:42:33: 		Build SHA1: b130d7735044ce6697bfb963af91445bee740c73
MPI Rank 1: 12/09/2017 11:42:33: 		MPI distribution: Open MPI
MPI Rank 1: 12/09/2017 11:42:33: 		MPI version: 1.10.7
MPI Rank 1: 12/09/2017 11:42:33: -------------------------------------------------------------------
MPI Rank 1: 12/09/2017 11:42:33: -------------------------------------------------------------------
MPI Rank 1: 12/09/2017 11:42:33: GPU info:
MPI Rank 1: 
MPI Rank 1: 12/09/2017 11:42:33: 		Device[0]: cores = 3072; computeCapability = 5.2; type = "Tesla M60"; total memory = 8123 MB; free memory = 7987 MB
MPI Rank 1: 12/09/2017 11:42:33: -------------------------------------------------------------------
MPI Rank 1: 12/09/2017 11:42:33: Using 6 CPU threads.
MPI Rank 1: 
MPI Rank 1: 12/09/2017 11:42:33: ##############################################################################
MPI Rank 1: 12/09/2017 11:42:33: #                                                                            #
MPI Rank 1: 12/09/2017 11:42:33: # speechTrain command (train action)                                         #
MPI Rank 1: 12/09/2017 11:42:33: #                                                                            #
MPI Rank 1: 12/09/2017 11:42:33: ##############################################################################
MPI Rank 1: 
MPI Rank 1: 12/09/2017 11:42:33: WARNING: 'numMiniBatch4LRSearch' is deprecated, please remove it and use 'numSamples4Search' instead.
MPI Rank 1: 12/09/2017 11:42:33: 
MPI Rank 1: Creating virgin network.
MPI Rank 1: SimpleNetworkBuilder Using GPU 0
MPI Rank 1: reading script file glob_0000.scp ... 948 entries
MPI Rank 1: total 132 state names in state list /home/ubuntu/workspace/Tests/EndToEndTests/Speech/Data/state.list
MPI Rank 1: htkmlfreader: reading MLF file /home/ubuntu/workspace/Tests/EndToEndTests/Speech/Data/glob_0000.mlf ... total 948 entries
MPI Rank 1: ...............................................................................................feature set 0: 252734 frames in 948 out of 948 utterances
MPI Rank 1: label set 0: 129 classes
MPI Rank 1: minibatchutterancesource: 948 utterances grouped into 3 chunks, av. chunk size: 316.0 utterances, 84244.7 frames
MPI Rank 1: 12/09/2017 11:42:33: 
MPI Rank 1: Model has 25 nodes. Using GPU 0.
MPI Rank 1: 
MPI Rank 1: 12/09/2017 11:42:33: Training criterion:   CrossEntropyWithSoftmax = CrossEntropyWithSoftmax
MPI Rank 1: 12/09/2017 11:42:33: Evaluation criterion: EvalClassificationError = ClassificationError
MPI Rank 1: 
MPI Rank 1: 
MPI Rank 1: Allocating matrices for forward and/or backward propagation.
MPI Rank 1: 
MPI Rank 1: Gradient Memory Aliasing: 4 are aliased.
MPI Rank 1: 	W2*H1 (gradient) reuses HLast (gradient)
MPI Rank 1: 	W1*H1 (gradient) reuses W1*H1+B1 (gradient)
MPI Rank 1: 
MPI Rank 1: Memory Sharing: Out of 40 matrices, 21 are shared as 5, and 19 are not shared.
MPI Rank 1: 
MPI Rank 1: Here are the ones that share memory:
MPI Rank 1: 	{ PosteriorProb : [132 x 1 x *]
MPI Rank 1: 	  ScaledLogLikelihood : [132 x 1 x *] }
MPI Rank 1: 	{ H2 : [512 x 1 x *]
MPI Rank 1: 	  W0*features+B0 : [512 x 1 x *]
MPI Rank 1: 	  W1 : [512 x 512] (gradient)
MPI Rank 1: 	  W1*H1 : [512 x 1 x *] }
MPI Rank 1: 	{ H1 : [512 x 1 x *] (gradient)
MPI Rank 1: 	  H2 : [512 x 1 x *] (gradient)
MPI Rank 1: 	  HLast : [132 x 1 x *]
MPI Rank 1: 	  W0*features : [512 x *]
MPI Rank 1: 	  W0*features : [512 x *] (gradient) }
MPI Rank 1: 	{ B0 : [512 x 1] (gradient)
MPI Rank 1: 	  H1 : [512 x 1 x *] }
MPI Rank 1: 	{ HLast : [132 x 1 x *] (gradient)
MPI Rank 1: 	  W0 : [512 x 363] (gradient)
MPI Rank 1: 	  W0*features+B0 : [512 x 1 x *] (gradient)
MPI Rank 1: 	  W1*H1 : [512 x 1 x *] (gradient)
MPI Rank 1: 	  W1*H1+B1 : [512 x 1 x *]
MPI Rank 1: 	  W1*H1+B1 : [512 x 1 x *] (gradient)
MPI Rank 1: 	  W2*H1 : [132 x 1 x *]
MPI Rank 1: 	  W2*H1 : [132 x 1 x *] (gradient) }
MPI Rank 1: 
MPI Rank 1: Here are the ones that don't share memory:
MPI Rank 1: 	{features : [363 x *]}
MPI Rank 1: 	{MeanOfFeatures : [363]}
MPI Rank 1: 	{InvStdOfFeatures : [363]}
MPI Rank 1: 	{W0 : [512 x 363]}
MPI Rank 1: 	{W2 : [132 x 512]}
MPI Rank 1: 	{B2 : [132 x 1]}
MPI Rank 1: 	{labels : [132 x *]}
MPI Rank 1: 	{Prior : [132]}
MPI Rank 1: 	{EvalClassificationError : [1]}
MPI Rank 1: 	{B0 : [512 x 1]}
MPI Rank 1: 	{W1 : [512 x 512]}
MPI Rank 1: 	{B1 : [512 x 1]}
MPI Rank 1: 	{W2 : [132 x 512] (gradient)}
MPI Rank 1: 	{B1 : [512 x 1] (gradient)}
MPI Rank 1: 	{MVNormalizedFeatures : [363 x *]}
MPI Rank 1: 	{LogOfPrior : [132]}
MPI Rank 1: 	{CrossEntropyWithSoftmax : [1]}
MPI Rank 1: 	{B2 : [132 x 1] (gradient)}
MPI Rank 1: 	{CrossEntropyWithSoftmax : [1] (gradient)}
MPI Rank 1: 
MPI Rank 1: 
MPI Rank 1: 12/09/2017 11:42:33: Training 516740 parameters in 6 out of 6 parameter tensors and 15 nodes with gradient:
MPI Rank 1: 
MPI Rank 1: 12/09/2017 11:42:33: 	Node 'B0' (LearnableParameter operation) : [512 x 1]
MPI Rank 1: 12/09/2017 11:42:33: 	Node 'B1' (LearnableParameter operation) : [512 x 1]
MPI Rank 1: 12/09/2017 11:42:33: 	Node 'B2' (LearnableParameter operation) : [132 x 1]
MPI Rank 1: 12/09/2017 11:42:33: 	Node 'W0' (LearnableParameter operation) : [512 x 363]
MPI Rank 1: 12/09/2017 11:42:33: 	Node 'W1' (LearnableParameter operation) : [512 x 512]
MPI Rank 1: 12/09/2017 11:42:33: 	Node 'W2' (LearnableParameter operation) : [132 x 512]
MPI Rank 1: 
MPI Rank 1: Initializing dataParallelSGD for 2-bit quantization.
MPI Rank 1: 
MPI Rank 1: 12/09/2017 11:42:33: Precomputing --> 3 PreCompute nodes found.
MPI Rank 1: 
MPI Rank 1: 12/09/2017 11:42:33: 	MeanOfFeatures = Mean()
MPI Rank 1: 12/09/2017 11:42:33: 	InvStdOfFeatures = InvStdDev()
MPI Rank 1: 12/09/2017 11:42:33: 	Prior = Mean()
MPI Rank 1: minibatchiterator: epoch 0: frames [0..252734] (first utterance at frame 0), data subset 0 of 1, with 1 datapasses
MPI Rank 1: requiredata: determined feature kind as 33-dimensional 'USER' with frame shift 10.0 ms
MPI Rank 1: 
MPI Rank 1: 12/09/2017 11:42:34: Precomputing --> Completed.
MPI Rank 1: 
MPI Rank 1: 
MPI Rank 1: 12/09/2017 11:42:34: Starting Epoch 1: learning rate per sample = 0.001953  effective momentum = 0.939413  momentum as time constant = 1024.0 samples
MPI Rank 1: minibatchiterator: epoch 0: frames [0..81920] (first utterance at frame 0), data subset 1 of 2, with 1 datapasses
MPI Rank 1: 
MPI Rank 1: 12/09/2017 11:42:34: Starting minibatch loop, DataParallelSGD training (myRank = 1, numNodes = 2, numGradientBits = 2), distributed reading is ENABLED.
MPI Rank 1: 12/09/2017 11:42:34:  Epoch[ 1 of 3]-Minibatch[   1-  10, 0.78%]: CrossEntropyWithSoftmax = 4.73732304 * 640; EvalClassificationError = 0.96718750 * 640; time = 0.0566s; samplesPerSecond = 11316.4
MPI Rank 1: 12/09/2017 11:42:34:  Epoch[ 1 of 3]-Minibatch[  11-  20, 1.56%]: CrossEntropyWithSoftmax = 4.37245658 * 640; EvalClassificationError = 0.92187500 * 640; time = 0.0528s; samplesPerSecond = 12116.3
MPI Rank 1: 12/09/2017 11:42:34:  Epoch[ 1 of 3]-Minibatch[  21-  30, 2.34%]: CrossEntropyWithSoftmax = 4.17410438 * 640; EvalClassificationError = 0.95937500 * 640; time = 0.0530s; samplesPerSecond = 12077.2
MPI Rank 1: 12/09/2017 11:42:34:  Epoch[ 1 of 3]-Minibatch[  31-  40, 3.12%]: CrossEntropyWithSoftmax = 3.88445939 * 640; EvalClassificationError = 0.86093750 * 640; time = 0.0532s; samplesPerSecond = 12025.2
MPI Rank 1: 12/09/2017 11:42:34:  Epoch[ 1 of 3]-Minibatch[  41-  50, 3.91%]: CrossEntropyWithSoftmax = 4.05583056 * 640; EvalClassificationError = 0.89375000 * 640; time = 0.0528s; samplesPerSecond = 12120.0
MPI Rank 1: 12/09/2017 11:42:34:  Epoch[ 1 of 3]-Minibatch[  51-  60, 4.69%]: CrossEntropyWithSoftmax = 3.94301179 * 640; EvalClassificationError = 0.86250000 * 640; time = 0.0528s; samplesPerSecond = 12117.7
MPI Rank 1: 12/09/2017 11:42:34:  Epoch[ 1 of 3]-Minibatch[  61-  70, 5.47%]: CrossEntropyWithSoftmax = 3.80690392 * 640; EvalClassificationError = 0.85937500 * 640; time = 0.0525s; samplesPerSecond = 12191.3
MPI Rank 1: 12/09/2017 11:42:34:  Epoch[ 1 of 3]-Minibatch[  71-  80, 6.25%]: CrossEntropyWithSoftmax = 3.92014544 * 640; EvalClassificationError = 0.87812500 * 640; time = 0.0527s; samplesPerSecond = 12154.5
MPI Rank 1: 12/09/2017 11:42:35:  Epoch[ 1 of 3]-Minibatch[  81-  90, 7.03%]: CrossEntropyWithSoftmax = 3.97161496 * 640; EvalClassificationError = 0.87968750 * 640; time = 0.0528s; samplesPerSecond = 12110.9
MPI Rank 1: 12/09/2017 11:42:35:  Epoch[ 1 of 3]-Minibatch[  91- 100, 7.81%]: CrossEntropyWithSoftmax = 3.93678341 * 640; EvalClassificationError = 0.90937500 * 640; time = 0.0528s; samplesPerSecond = 12118.0
MPI Rank 1: 12/09/2017 11:42:35:  Epoch[ 1 of 3]-Minibatch[ 101- 110, 8.59%]: CrossEntropyWithSoftmax = 4.05170333 * 640; EvalClassificationError = 0.92187500 * 640; time = 0.0531s; samplesPerSecond = 12048.0
MPI Rank 1: 12/09/2017 11:42:35:  Epoch[ 1 of 3]-Minibatch[ 111- 120, 9.38%]: CrossEntropyWithSoftmax = 3.89920006 * 640; EvalClassificationError = 0.86406250 * 640; time = 0.0531s; samplesPerSecond = 12054.8
MPI Rank 1: 12/09/2017 11:42:35:  Epoch[ 1 of 3]-Minibatch[ 121- 130, 10.16%]: CrossEntropyWithSoftmax = 3.87251777 * 640; EvalClassificationError = 0.89218750 * 640; time = 0.0525s; samplesPerSecond = 12182.8
MPI Rank 1: 12/09/2017 11:42:35:  Epoch[ 1 of 3]-Minibatch[ 131- 140, 10.94%]: CrossEntropyWithSoftmax = 3.81997390 * 640; EvalClassificationError = 0.88281250 * 640; time = 0.0522s; samplesPerSecond = 12271.9
MPI Rank 1: 12/09/2017 11:42:35:  Epoch[ 1 of 3]-Minibatch[ 141- 150, 11.72%]: CrossEntropyWithSoftmax = 3.80472357 * 640; EvalClassificationError = 0.88125000 * 640; time = 0.0527s; samplesPerSecond = 12132.7
MPI Rank 1: 12/09/2017 11:42:35:  Epoch[ 1 of 3]-Minibatch[ 151- 160, 12.50%]: CrossEntropyWithSoftmax = 3.94102783 * 640; EvalClassificationError = 0.88750000 * 640; time = 0.0528s; samplesPerSecond = 12120.7
MPI Rank 1: 12/09/2017 11:42:35:  Epoch[ 1 of 3]-Minibatch[ 161- 170, 13.28%]: CrossEntropyWithSoftmax = 3.82146217 * 640; EvalClassificationError = 0.87656250 * 640; time = 0.0529s; samplesPerSecond = 12103.4
MPI Rank 1: 12/09/2017 11:42:35:  Epoch[ 1 of 3]-Minibatch[ 171- 180, 14.06%]: CrossEntropyWithSoftmax = 3.75252040 * 640; EvalClassificationError = 0.85312500 * 640; time = 0.0530s; samplesPerSecond = 12082.6
MPI Rank 1: 12/09/2017 11:42:35:  Epoch[ 1 of 3]-Minibatch[ 181- 190, 14.84%]: CrossEntropyWithSoftmax = 3.79666334 * 640; EvalClassificationError = 0.86562500 * 640; time = 0.0529s; samplesPerSecond = 12108.1
MPI Rank 1: 12/09/2017 11:42:35:  Epoch[ 1 of 3]-Minibatch[ 191- 200, 15.62%]: CrossEntropyWithSoftmax = 3.73933957 * 640; EvalClassificationError = 0.87343750 * 640; time = 0.0525s; samplesPerSecond = 12189.1
MPI Rank 1: 12/09/2017 11:42:35:  Epoch[ 1 of 3]-Minibatch[ 201- 210, 16.41%]: CrossEntropyWithSoftmax = 3.73524601 * 640; EvalClassificationError = 0.86406250 * 640; time = 0.0527s; samplesPerSecond = 12141.5
MPI Rank 1: 12/09/2017 11:42:35:  Epoch[ 1 of 3]-Minibatch[ 211- 220, 17.19%]: CrossEntropyWithSoftmax = 3.72390189 * 640; EvalClassificationError = 0.85937500 * 640; time = 0.0524s; samplesPerSecond = 12219.3
MPI Rank 1: 12/09/2017 11:42:35:  Epoch[ 1 of 3]-Minibatch[ 221- 230, 17.97%]: CrossEntropyWithSoftmax = 3.71619884 * 640; EvalClassificationError = 0.84218750 * 640; time = 0.0528s; samplesPerSecond = 12123.5
MPI Rank 1: 12/09/2017 11:42:35:  Epoch[ 1 of 3]-Minibatch[ 231- 240, 18.75%]: CrossEntropyWithSoftmax = 3.75567826 * 640; EvalClassificationError = 0.83437500 * 640; time = 0.0529s; samplesPerSecond = 12093.7
MPI Rank 1: 12/09/2017 11:42:35:  Epoch[ 1 of 3]-Minibatch[ 241- 250, 19.53%]: CrossEntropyWithSoftmax = 3.72026418 * 640; EvalClassificationError = 0.85000000 * 640; time = 0.0528s; samplesPerSecond = 12124.0
MPI Rank 1: 12/09/2017 11:42:35:  Epoch[ 1 of 3]-Minibatch[ 251- 260, 20.31%]: CrossEntropyWithSoftmax = 3.66348241 * 640; EvalClassificationError = 0.83906250 * 640; time = 0.0552s; samplesPerSecond = 11596.3
MPI Rank 1: 12/09/2017 11:42:35:  Epoch[ 1 of 3]-Minibatch[ 261- 270, 21.09%]: CrossEntropyWithSoftmax = 3.58404577 * 640; EvalClassificationError = 0.77656250 * 640; time = 0.0525s; samplesPerSecond = 12196.1
MPI Rank 1: 12/09/2017 11:42:36:  Epoch[ 1 of 3]-Minibatch[ 271- 280, 21.88%]: CrossEntropyWithSoftmax = 3.69356028 * 640; EvalClassificationError = 0.80781250 * 640; time = 0.0532s; samplesPerSecond = 12023.3
MPI Rank 1: 12/09/2017 11:42:36:  Epoch[ 1 of 3]-Minibatch[ 281- 290, 22.66%]: CrossEntropyWithSoftmax = 3.57770862 * 640; EvalClassificationError = 0.79062500 * 640; time = 0.0531s; samplesPerSecond = 12056.5
MPI Rank 1: 12/09/2017 11:42:36:  Epoch[ 1 of 3]-Minibatch[ 291- 300, 23.44%]: CrossEntropyWithSoftmax = 3.52795781 * 640; EvalClassificationError = 0.81875000 * 640; time = 0.0528s; samplesPerSecond = 12120.5
MPI Rank 1: 12/09/2017 11:42:36:  Epoch[ 1 of 3]-Minibatch[ 301- 310, 24.22%]: CrossEntropyWithSoftmax = 3.53488491 * 640; EvalClassificationError = 0.81718750 * 640; time = 0.0528s; samplesPerSecond = 12119.4
MPI Rank 1: 12/09/2017 11:42:36:  Epoch[ 1 of 3]-Minibatch[ 311- 320, 25.00%]: CrossEntropyWithSoftmax = 3.50003454 * 640; EvalClassificationError = 0.79375000 * 640; time = 0.0528s; samplesPerSecond = 12113.7
MPI Rank 1: 12/09/2017 11:42:36:  Epoch[ 1 of 3]-Minibatch[ 321- 330, 25.78%]: CrossEntropyWithSoftmax = 3.37879609 * 640; EvalClassificationError = 0.79687500 * 640; time = 0.0530s; samplesPerSecond = 12084.2
MPI Rank 1: 12/09/2017 11:42:36:  Epoch[ 1 of 3]-Minibatch[ 331- 340, 26.56%]: CrossEntropyWithSoftmax = 3.44225555 * 640; EvalClassificationError = 0.79062500 * 640; time = 0.0528s; samplesPerSecond = 12121.3
MPI Rank 1: 12/09/2017 11:42:36:  Epoch[ 1 of 3]-Minibatch[ 341- 350, 27.34%]: CrossEntropyWithSoftmax = 3.49483132 * 640; EvalClassificationError = 0.80156250 * 640; time = 0.0528s; samplesPerSecond = 12115.6
MPI Rank 1: 12/09/2017 11:42:36:  Epoch[ 1 of 3]-Minibatch[ 351- 360, 28.12%]: CrossEntropyWithSoftmax = 3.42687218 * 640; EvalClassificationError = 0.80468750 * 640; time = 0.0518s; samplesPerSecond = 12364.2
MPI Rank 1: 12/09/2017 11:42:36:  Epoch[ 1 of 3]-Minibatch[ 361- 370, 28.91%]: CrossEntropyWithSoftmax = 3.49844130 * 640; EvalClassificationError = 0.82500000 * 640; time = 0.0529s; samplesPerSecond = 12089.7
MPI Rank 1: 12/09/2017 11:42:36:  Epoch[ 1 of 3]-Minibatch[ 371- 380, 29.69%]: CrossEntropyWithSoftmax = 3.18573058 * 640; EvalClassificationError = 0.75468750 * 640; time = 0.0528s; samplesPerSecond = 12125.0
MPI Rank 1: 12/09/2017 11:42:36:  Epoch[ 1 of 3]-Minibatch[ 381- 390, 30.47%]: CrossEntropyWithSoftmax = 3.31421136 * 640; EvalClassificationError = 0.79375000 * 640; time = 0.0529s; samplesPerSecond = 12094.7
MPI Rank 1: 12/09/2017 11:42:36:  Epoch[ 1 of 3]-Minibatch[ 391- 400, 31.25%]: CrossEntropyWithSoftmax = 3.27767395 * 640; EvalClassificationError = 0.77656250 * 640; time = 0.0530s; samplesPerSecond = 12079.5
MPI Rank 1: 12/09/2017 11:42:36:  Epoch[ 1 of 3]-Minibatch[ 401- 410, 32.03%]: CrossEntropyWithSoftmax = 3.42261405 * 640; EvalClassificationError = 0.80312500 * 640; time = 0.0530s; samplesPerSecond = 12082.1
MPI Rank 1: 12/09/2017 11:42:36:  Epoch[ 1 of 3]-Minibatch[ 411- 420, 32.81%]: CrossEntropyWithSoftmax = 3.28001084 * 640; EvalClassificationError = 0.75937500 * 640; time = 0.0530s; samplesPerSecond = 12071.1
MPI Rank 1: 12/09/2017 11:42:36:  Epoch[ 1 of 3]-Minibatch[ 421- 430, 33.59%]: CrossEntropyWithSoftmax = 3.23898632 * 640; EvalClassificationError = 0.78281250 * 640; time = 0.0526s; samplesPerSecond = 12178.4
MPI Rank 1: 12/09/2017 11:42:36:  Epoch[ 1 of 3]-Minibatch[ 431- 440, 34.38%]: CrossEntropyWithSoftmax = 3.13414193 * 640; EvalClassificationError = 0.75781250 * 640; time = 0.0526s; samplesPerSecond = 12160.2
MPI Rank 1: 12/09/2017 11:42:36:  Epoch[ 1 of 3]-Minibatch[ 441- 450, 35.16%]: CrossEntropyWithSoftmax = 3.18551320 * 640; EvalClassificationError = 0.74062500 * 640; time = 0.0527s; samplesPerSecond = 12145.6
MPI Rank 1: 12/09/2017 11:42:36:  Epoch[ 1 of 3]-Minibatch[ 451- 460, 35.94%]: CrossEntropyWithSoftmax = 3.23495251 * 640; EvalClassificationError = 0.77187500 * 640; time = 0.0528s; samplesPerSecond = 12127.1
MPI Rank 1: 12/09/2017 11:42:37:  Epoch[ 1 of 3]-Minibatch[ 461- 470, 36.72%]: CrossEntropyWithSoftmax = 3.19186023 * 640; EvalClassificationError = 0.77812500 * 640; time = 0.0528s; samplesPerSecond = 12121.7
MPI Rank 1: 12/09/2017 11:42:37:  Epoch[ 1 of 3]-Minibatch[ 471- 480, 37.50%]: CrossEntropyWithSoftmax = 3.16573416 * 640; EvalClassificationError = 0.73906250 * 640; time = 0.0525s; samplesPerSecond = 12195.9
MPI Rank 1: 12/09/2017 11:42:37:  Epoch[ 1 of 3]-Minibatch[ 481- 490, 38.28%]: CrossEntropyWithSoftmax = 3.24987471 * 640; EvalClassificationError = 0.77500000 * 640; time = 0.0525s; samplesPerSecond = 12180.0
MPI Rank 1: 12/09/2017 11:42:37:  Epoch[ 1 of 3]-Minibatch[ 491- 500, 39.06%]: CrossEntropyWithSoftmax = 3.18547307 * 640; EvalClassificationError = 0.76406250 * 640; time = 0.0531s; samplesPerSecond = 12047.8
MPI Rank 1: 12/09/2017 11:42:37:  Epoch[ 1 of 3]-Minibatch[ 501- 510, 39.84%]: CrossEntropyWithSoftmax = 2.98390642 * 640; EvalClassificationError = 0.72187500 * 640; time = 0.0528s; samplesPerSecond = 12128.4
MPI Rank 1: 12/09/2017 11:42:37:  Epoch[ 1 of 3]-Minibatch[ 511- 520, 40.62%]: CrossEntropyWithSoftmax = 3.14694612 * 640; EvalClassificationError = 0.73125000 * 640; time = 0.0524s; samplesPerSecond = 12215.7
MPI Rank 1: 12/09/2017 11:42:37:  Epoch[ 1 of 3]-Minibatch[ 521- 530, 41.41%]: CrossEntropyWithSoftmax = 3.08207178 * 640; EvalClassificationError = 0.72343750 * 640; time = 0.0526s; samplesPerSecond = 12159.0
MPI Rank 1: 12/09/2017 11:42:37:  Epoch[ 1 of 3]-Minibatch[ 531- 540, 42.19%]: CrossEntropyWithSoftmax = 2.93988796 * 640; EvalClassificationError = 0.70468750 * 640; time = 0.0524s; samplesPerSecond = 12223.0
MPI Rank 1: 12/09/2017 11:42:37:  Epoch[ 1 of 3]-Minibatch[ 541- 550, 42.97%]: CrossEntropyWithSoftmax = 3.02200056 * 640; EvalClassificationError = 0.72968750 * 640; time = 0.0529s; samplesPerSecond = 12088.3
MPI Rank 1: 12/09/2017 11:42:37:  Epoch[ 1 of 3]-Minibatch[ 551- 560, 43.75%]: CrossEntropyWithSoftmax = 2.95502751 * 640; EvalClassificationError = 0.71250000 * 640; time = 0.0530s; samplesPerSecond = 12079.4
MPI Rank 1: 12/09/2017 11:42:37:  Epoch[ 1 of 3]-Minibatch[ 561- 570, 44.53%]: CrossEntropyWithSoftmax = 2.95814153 * 640; EvalClassificationError = 0.72812500 * 640; time = 0.0531s; samplesPerSecond = 12043.0
MPI Rank 1: 12/09/2017 11:42:37:  Epoch[ 1 of 3]-Minibatch[ 571- 580, 45.31%]: CrossEntropyWithSoftmax = 3.00759179 * 640; EvalClassificationError = 0.72656250 * 640; time = 0.0528s; samplesPerSecond = 12130.2
MPI Rank 1: 12/09/2017 11:42:37:  Epoch[ 1 of 3]-Minibatch[ 581- 590, 46.09%]: CrossEntropyWithSoftmax = 3.00141816 * 640; EvalClassificationError = 0.72968750 * 640; time = 0.0528s; samplesPerSecond = 12129.2
MPI Rank 1: 12/09/2017 11:42:37:  Epoch[ 1 of 3]-Minibatch[ 591- 600, 46.88%]: CrossEntropyWithSoftmax = 2.91937031 * 640; EvalClassificationError = 0.70468750 * 640; time = 0.0526s; samplesPerSecond = 12157.8
MPI Rank 1: 12/09/2017 11:42:37:  Epoch[ 1 of 3]-Minibatch[ 601- 610, 47.66%]: CrossEntropyWithSoftmax = 3.00608743 * 640; EvalClassificationError = 0.73593750 * 640; time = 0.0530s; samplesPerSecond = 12086.5
MPI Rank 1: 12/09/2017 11:42:37:  Epoch[ 1 of 3]-Minibatch[ 611- 620, 48.44%]: CrossEntropyWithSoftmax = 2.93806187 * 640; EvalClassificationError = 0.70625000 * 640; time = 0.0527s; samplesPerSecond = 12150.4
MPI Rank 1: 12/09/2017 11:42:37:  Epoch[ 1 of 3]-Minibatch[ 621- 630, 49.22%]: CrossEntropyWithSoftmax = 2.97059948 * 640; EvalClassificationError = 0.74531250 * 640; time = 0.0530s; samplesPerSecond = 12072.4
MPI Rank 1: 12/09/2017 11:42:37:  Epoch[ 1 of 3]-Minibatch[ 631- 640, 50.00%]: CrossEntropyWithSoftmax = 2.86116269 * 640; EvalClassificationError = 0.67812500 * 640; time = 0.0525s; samplesPerSecond = 12189.0
MPI Rank 1: 12/09/2017 11:42:37:  Epoch[ 1 of 3]-Minibatch[ 641- 650, 50.78%]: CrossEntropyWithSoftmax = 2.88066852 * 640; EvalClassificationError = 0.71093750 * 640; time = 0.0526s; samplesPerSecond = 12157.2
MPI Rank 1: 12/09/2017 11:42:38:  Epoch[ 1 of 3]-Minibatch[ 651- 660, 51.56%]: CrossEntropyWithSoftmax = 2.90412534 * 640; EvalClassificationError = 0.71718750 * 640; time = 0.0530s; samplesPerSecond = 12069.1
MPI Rank 1: 12/09/2017 11:42:38:  Epoch[ 1 of 3]-Minibatch[ 661- 670, 52.34%]: CrossEntropyWithSoftmax = 2.82632920 * 640; EvalClassificationError = 0.70781250 * 640; time = 0.0529s; samplesPerSecond = 12096.7
MPI Rank 1: 12/09/2017 11:42:38:  Epoch[ 1 of 3]-Minibatch[ 671- 680, 53.12%]: CrossEntropyWithSoftmax = 2.86526345 * 640; EvalClassificationError = 0.67187500 * 640; time = 0.0530s; samplesPerSecond = 12086.3
MPI Rank 1: 12/09/2017 11:42:38:  Epoch[ 1 of 3]-Minibatch[ 681- 690, 53.91%]: CrossEntropyWithSoftmax = 2.82685093 * 640; EvalClassificationError = 0.70312500 * 640; time = 0.0524s; samplesPerSecond = 12224.0
MPI Rank 1: 12/09/2017 11:42:38:  Epoch[ 1 of 3]-Minibatch[ 691- 700, 54.69%]: CrossEntropyWithSoftmax = 2.69773567 * 640; EvalClassificationError = 0.68281250 * 640; time = 0.0528s; samplesPerSecond = 12110.1
MPI Rank 1: 12/09/2017 11:42:38:  Epoch[ 1 of 3]-Minibatch[ 701- 710, 55.47%]: CrossEntropyWithSoftmax = 2.74307267 * 640; EvalClassificationError = 0.66406250 * 640; time = 0.0527s; samplesPerSecond = 12134.2
MPI Rank 1: 12/09/2017 11:42:38:  Epoch[ 1 of 3]-Minibatch[ 711- 720, 56.25%]: CrossEntropyWithSoftmax = 2.79722639 * 640; EvalClassificationError = 0.71093750 * 640; time = 0.0524s; samplesPerSecond = 12202.8
MPI Rank 1: 12/09/2017 11:42:38:  Epoch[ 1 of 3]-Minibatch[ 721- 730, 57.03%]: CrossEntropyWithSoftmax = 2.68856544 * 640; EvalClassificationError = 0.67968750 * 640; time = 0.0526s; samplesPerSecond = 12171.6
MPI Rank 1: 12/09/2017 11:42:38:  Epoch[ 1 of 3]-Minibatch[ 731- 740, 57.81%]: CrossEntropyWithSoftmax = 2.76508377 * 640; EvalClassificationError = 0.68281250 * 640; time = 0.0527s; samplesPerSecond = 12153.8
MPI Rank 1: 12/09/2017 11:42:38:  Epoch[ 1 of 3]-Minibatch[ 741- 750, 58.59%]: CrossEntropyWithSoftmax = 2.77343041 * 640; EvalClassificationError = 0.67968750 * 640; time = 0.0528s; samplesPerSecond = 12116.7
MPI Rank 1: 12/09/2017 11:42:38:  Epoch[ 1 of 3]-Minibatch[ 751- 760, 59.38%]: CrossEntropyWithSoftmax = 2.71083766 * 640; EvalClassificationError = 0.68281250 * 640; time = 0.0530s; samplesPerSecond = 12082.6
MPI Rank 1: 12/09/2017 11:42:38:  Epoch[ 1 of 3]-Minibatch[ 761- 770, 60.16%]: CrossEntropyWithSoftmax = 2.78835862 * 640; EvalClassificationError = 0.66093750 * 640; time = 0.0522s; samplesPerSecond = 12259.7
MPI Rank 1: 12/09/2017 11:42:38:  Epoch[ 1 of 3]-Minibatch[ 771- 780, 60.94%]: CrossEntropyWithSoftmax = 2.78429500 * 640; EvalClassificationError = 0.68125000 * 640; time = 0.0532s; samplesPerSecond = 12041.3
MPI Rank 1: 12/09/2017 11:42:38:  Epoch[ 1 of 3]-Minibatch[ 781- 790, 61.72%]: CrossEntropyWithSoftmax = 2.72074567 * 640; EvalClassificationError = 0.67031250 * 640; time = 0.0527s; samplesPerSecond = 12140.0
MPI Rank 1: 12/09/2017 11:42:38:  Epoch[ 1 of 3]-Minibatch[ 791- 800, 62.50%]: CrossEntropyWithSoftmax = 2.70358932 * 640; EvalClassificationError = 0.64062500 * 640; time = 0.0526s; samplesPerSecond = 12162.0
MPI Rank 1: 12/09/2017 11:42:38:  Epoch[ 1 of 3]-Minibatch[ 801- 810, 63.28%]: CrossEntropyWithSoftmax = 2.70896130 * 640; EvalClassificationError = 0.67031250 * 640; time = 0.0524s; samplesPerSecond = 12204.3
MPI Rank 1: 12/09/2017 11:42:38:  Epoch[ 1 of 3]-Minibatch[ 811- 820, 64.06%]: CrossEntropyWithSoftmax = 2.67622174 * 640; EvalClassificationError = 0.66718750 * 640; time = 0.0526s; samplesPerSecond = 12163.0
MPI Rank 1: 12/09/2017 11:42:38:  Epoch[ 1 of 3]-Minibatch[ 821- 830, 64.84%]: CrossEntropyWithSoftmax = 2.53188155 * 640; EvalClassificationError = 0.63125000 * 640; time = 0.0528s; samplesPerSecond = 12116.0
MPI Rank 1: 12/09/2017 11:42:38:  Epoch[ 1 of 3]-Minibatch[ 831- 840, 65.62%]: CrossEntropyWithSoftmax = 2.63309909 * 640; EvalClassificationError = 0.66406250 * 640; time = 0.0529s; samplesPerSecond = 12087.1
MPI Rank 1: 12/09/2017 11:42:39:  Epoch[ 1 of 3]-Minibatch[ 841- 850, 66.41%]: CrossEntropyWithSoftmax = 2.65913442 * 640; EvalClassificationError = 0.65312500 * 640; time = 0.0529s; samplesPerSecond = 12109.6
MPI Rank 1: 12/09/2017 11:42:39:  Epoch[ 1 of 3]-Minibatch[ 851- 860, 67.19%]: CrossEntropyWithSoftmax = 2.58953886 * 640; EvalClassificationError = 0.66718750 * 640; time = 0.0528s; samplesPerSecond = 12127.5
MPI Rank 1: 12/09/2017 11:42:39:  Epoch[ 1 of 3]-Minibatch[ 861- 870, 67.97%]: CrossEntropyWithSoftmax = 2.72909868 * 640; EvalClassificationError = 0.67812500 * 640; time = 0.0526s; samplesPerSecond = 12177.6
MPI Rank 1: 12/09/2017 11:42:39:  Epoch[ 1 of 3]-Minibatch[ 871- 880, 68.75%]: CrossEntropyWithSoftmax = 2.66274742 * 640; EvalClassificationError = 0.66250000 * 640; time = 0.0528s; samplesPerSecond = 12127.0
MPI Rank 1: 12/09/2017 11:42:39:  Epoch[ 1 of 3]-Minibatch[ 881- 890, 69.53%]: CrossEntropyWithSoftmax = 2.52907443 * 640; EvalClassificationError = 0.65937500 * 640; time = 0.0530s; samplesPerSecond = 12082.6
MPI Rank 1: 12/09/2017 11:42:39:  Epoch[ 1 of 3]-Minibatch[ 891- 900, 70.31%]: CrossEntropyWithSoftmax = 2.62181215 * 640; EvalClassificationError = 0.65625000 * 640; time = 0.0530s; samplesPerSecond = 12071.8
MPI Rank 1: 12/09/2017 11:42:39:  Epoch[ 1 of 3]-Minibatch[ 901- 910, 71.09%]: CrossEntropyWithSoftmax = 2.55523654 * 640; EvalClassificationError = 0.66093750 * 640; time = 0.0524s; samplesPerSecond = 12215.1
MPI Rank 1: 12/09/2017 11:42:39:  Epoch[ 1 of 3]-Minibatch[ 911- 920, 71.88%]: CrossEntropyWithSoftmax = 2.55080783 * 640; EvalClassificationError = 0.64531250 * 640; time = 0.0531s; samplesPerSecond = 12053.0
MPI Rank 1: 12/09/2017 11:42:39:  Epoch[ 1 of 3]-Minibatch[ 921- 930, 72.66%]: CrossEntropyWithSoftmax = 2.59909660 * 640; EvalClassificationError = 0.65625000 * 640; time = 0.0527s; samplesPerSecond = 12141.1
MPI Rank 1: 12/09/2017 11:42:39:  Epoch[ 1 of 3]-Minibatch[ 931- 940, 73.44%]: CrossEntropyWithSoftmax = 2.54339904 * 640; EvalClassificationError = 0.62343750 * 640; time = 0.0525s; samplesPerSecond = 12189.8
MPI Rank 1: 12/09/2017 11:42:39:  Epoch[ 1 of 3]-Minibatch[ 941- 950, 74.22%]: CrossEntropyWithSoftmax = 2.48494906 * 640; EvalClassificationError = 0.63593750 * 640; time = 0.0527s; samplesPerSecond = 12134.7
MPI Rank 1: 12/09/2017 11:42:39:  Epoch[ 1 of 3]-Minibatch[ 951- 960, 75.00%]: CrossEntropyWithSoftmax = 2.53011571 * 640; EvalClassificationError = 0.63750000 * 640; time = 0.0525s; samplesPerSecond = 12180.8
MPI Rank 1: 12/09/2017 11:42:39:  Epoch[ 1 of 3]-Minibatch[ 961- 970, 75.78%]: CrossEntropyWithSoftmax = 2.35377377 * 640; EvalClassificationError = 0.60468750 * 640; time = 0.0527s; samplesPerSecond = 12143.0
MPI Rank 1: 12/09/2017 11:42:39:  Epoch[ 1 of 3]-Minibatch[ 971- 980, 76.56%]: CrossEntropyWithSoftmax = 2.54765224 * 640; EvalClassificationError = 0.64218750 * 640; time = 0.0528s; samplesPerSecond = 12119.4
MPI Rank 1: 12/09/2017 11:42:39:  Epoch[ 1 of 3]-Minibatch[ 981- 990, 77.34%]: CrossEntropyWithSoftmax = 2.45433270 * 640; EvalClassificationError = 0.63750000 * 640; time = 0.0530s; samplesPerSecond = 12086.3
MPI Rank 1: 12/09/2017 11:42:39:  Epoch[ 1 of 3]-Minibatch[ 991-1000, 78.12%]: CrossEntropyWithSoftmax = 2.42568393 * 640; EvalClassificationError = 0.60468750 * 640; time = 0.0529s; samplesPerSecond = 12096.9
MPI Rank 1: 12/09/2017 11:42:39:  Epoch[ 1 of 3]-Minibatch[1001-1010, 78.91%]: CrossEntropyWithSoftmax = 2.37559979 * 640; EvalClassificationError = 0.61250000 * 640; time = 0.0528s; samplesPerSecond = 12122.1
MPI Rank 1: 12/09/2017 11:42:39:  Epoch[ 1 of 3]-Minibatch[1011-1020, 79.69%]: CrossEntropyWithSoftmax = 2.35918964 * 640; EvalClassificationError = 0.59218750 * 640; time = 0.0527s; samplesPerSecond = 12135.9
MPI Rank 1: 12/09/2017 11:42:39:  Epoch[ 1 of 3]-Minibatch[1021-1030, 80.47%]: CrossEntropyWithSoftmax = 2.36172586 * 640; EvalClassificationError = 0.60781250 * 640; time = 0.0524s; samplesPerSecond = 12211.2
MPI Rank 1: 12/09/2017 11:42:40:  Epoch[ 1 of 3]-Minibatch[1031-1040, 81.25%]: CrossEntropyWithSoftmax = 2.33330234 * 640; EvalClassificationError = 0.57343750 * 640; time = 0.0529s; samplesPerSecond = 12092.5
MPI Rank 1: 12/09/2017 11:42:40:  Epoch[ 1 of 3]-Minibatch[1041-1050, 82.03%]: CrossEntropyWithSoftmax = 2.44944355 * 640; EvalClassificationError = 0.61875000 * 640; time = 0.0528s; samplesPerSecond = 12128.4
MPI Rank 1: 12/09/2017 11:42:40:  Epoch[ 1 of 3]-Minibatch[1051-1060, 82.81%]: CrossEntropyWithSoftmax = 2.31629827 * 640; EvalClassificationError = 0.58437500 * 640; time = 0.0529s; samplesPerSecond = 12107.9
MPI Rank 1: 12/09/2017 11:42:40:  Epoch[ 1 of 3]-Minibatch[1061-1070, 83.59%]: CrossEntropyWithSoftmax = 2.32155369 * 640; EvalClassificationError = 0.60781250 * 640; time = 0.0526s; samplesPerSecond = 12172.2
MPI Rank 1: 12/09/2017 11:42:40:  Epoch[ 1 of 3]-Minibatch[1071-1080, 84.38%]: CrossEntropyWithSoftmax = 2.48531052 * 640; EvalClassificationError = 0.63437500 * 640; time = 0.0527s; samplesPerSecond = 12135.4
MPI Rank 1: 12/09/2017 11:42:40:  Epoch[ 1 of 3]-Minibatch[1081-1090, 85.16%]: CrossEntropyWithSoftmax = 2.35597724 * 640; EvalClassificationError = 0.61250000 * 640; time = 0.0526s; samplesPerSecond = 12172.0
MPI Rank 1: 12/09/2017 11:42:40:  Epoch[ 1 of 3]-Minibatch[1091-1100, 85.94%]: CrossEntropyWithSoftmax = 2.38033708 * 640; EvalClassificationError = 0.62812500 * 640; time = 0.0528s; samplesPerSecond = 12116.0
MPI Rank 1: 12/09/2017 11:42:40:  Epoch[ 1 of 3]-Minibatch[1101-1110, 86.72%]: CrossEntropyWithSoftmax = 2.38362308 * 640; EvalClassificationError = 0.62187500 * 640; time = 0.0526s; samplesPerSecond = 12167.6
MPI Rank 1: 12/09/2017 11:42:40:  Epoch[ 1 of 3]-Minibatch[1111-1120, 87.50%]: CrossEntropyWithSoftmax = 2.50054698 * 640; EvalClassificationError = 0.63281250 * 640; time = 0.0528s; samplesPerSecond = 12127.1
MPI Rank 1: 12/09/2017 11:42:40:  Epoch[ 1 of 3]-Minibatch[1121-1130, 88.28%]: CrossEntropyWithSoftmax = 2.19944619 * 640; EvalClassificationError = 0.63281250 * 640; time = 0.0526s; samplesPerSecond = 12174.8
MPI Rank 1: 12/09/2017 11:42:40:  Epoch[ 1 of 3]-Minibatch[1131-1140, 89.06%]: CrossEntropyWithSoftmax = 2.27275776 * 640; EvalClassificationError = 0.60312500 * 640; time = 0.0528s; samplesPerSecond = 12110.5
MPI Rank 1: 12/09/2017 11:42:40:  Epoch[ 1 of 3]-Minibatch[1141-1150, 89.84%]: CrossEntropyWithSoftmax = 2.20598394 * 640; EvalClassificationError = 0.59843750 * 640; time = 0.0526s; samplesPerSecond = 12166.1
MPI Rank 1: 12/09/2017 11:42:40:  Epoch[ 1 of 3]-Minibatch[1151-1160, 90.62%]: CrossEntropyWithSoftmax = 2.33074620 * 640; EvalClassificationError = 0.60625000 * 640; time = 0.0528s; samplesPerSecond = 12118.1
MPI Rank 1: 12/09/2017 11:42:40:  Epoch[ 1 of 3]-Minibatch[1161-1170, 91.41%]: CrossEntropyWithSoftmax = 2.29729462 * 640; EvalClassificationError = 0.57656250 * 640; time = 0.0526s; samplesPerSecond = 12168.3
MPI Rank 1: 12/09/2017 11:42:40:  Epoch[ 1 of 3]-Minibatch[1171-1180, 92.19%]: CrossEntropyWithSoftmax = 2.29348188 * 640; EvalClassificationError = 0.60312500 * 640; time = 0.0526s; samplesPerSecond = 12170.1
MPI Rank 1: 12/09/2017 11:42:40:  Epoch[ 1 of 3]-Minibatch[1181-1190, 92.97%]: CrossEntropyWithSoftmax = 2.30035345 * 640; EvalClassificationError = 0.61250000 * 640; time = 0.0526s; samplesPerSecond = 12169.0
MPI Rank 1: 12/09/2017 11:42:40:  Epoch[ 1 of 3]-Minibatch[1191-1200, 93.75%]: CrossEntropyWithSoftmax = 2.21946827 * 640; EvalClassificationError = 0.60312500 * 640; time = 0.0529s; samplesPerSecond = 12091.6
MPI Rank 1: 12/09/2017 11:42:40:  Epoch[ 1 of 3]-Minibatch[1201-1210, 94.53%]: CrossEntropyWithSoftmax = 2.23789342 * 640; EvalClassificationError = 0.60312500 * 640; time = 0.0527s; samplesPerSecond = 12147.1
MPI Rank 1: 12/09/2017 11:42:40:  Epoch[ 1 of 3]-Minibatch[1211-1220, 95.31%]: CrossEntropyWithSoftmax = 2.25672779 * 640; EvalClassificationError = 0.60625000 * 640; time = 0.0527s; samplesPerSecond = 12141.2
MPI Rank 1: 12/09/2017 11:42:41:  Epoch[ 1 of 3]-Minibatch[1221-1230, 96.09%]: CrossEntropyWithSoftmax = 2.39832877 * 640; EvalClassificationError = 0.62500000 * 640; time = 0.0525s; samplesPerSecond = 12194.6
MPI Rank 1: 12/09/2017 11:42:41:  Epoch[ 1 of 3]-Minibatch[1231-1240, 96.88%]: CrossEntropyWithSoftmax = 2.30130636 * 640; EvalClassificationError = 0.60312500 * 640; time = 0.0524s; samplesPerSecond = 12208.8
MPI Rank 1: 12/09/2017 11:42:41:  Epoch[ 1 of 3]-Minibatch[1241-1250, 97.66%]: CrossEntropyWithSoftmax = 2.24890274 * 640; EvalClassificationError = 0.61562500 * 640; time = 0.0526s; samplesPerSecond = 12161.9
MPI Rank 1: 12/09/2017 11:42:41:  Epoch[ 1 of 3]-Minibatch[1251-1260, 98.44%]: CrossEntropyWithSoftmax = 2.27535411 * 640; EvalClassificationError = 0.56875000 * 640; time = 0.0527s; samplesPerSecond = 12142.2
MPI Rank 1: 12/09/2017 11:42:41:  Epoch[ 1 of 3]-Minibatch[1261-1270, 99.22%]: CrossEntropyWithSoftmax = 2.21997359 * 640; EvalClassificationError = 0.60625000 * 640; time = 0.0530s; samplesPerSecond = 12073.4
MPI Rank 1: 12/09/2017 11:42:41:  Epoch[ 1 of 3]-Minibatch[1271-1280, 100.00%]: CrossEntropyWithSoftmax = 2.30479519 * 640; EvalClassificationError = 0.59843750 * 640; time = 0.0525s; samplesPerSecond = 12191.8
MPI Rank 1: 12/09/2017 11:42:41: Finished Epoch[ 1 of 3]: [Training] CrossEntropyWithSoftmax = 3.00768354 * 81920; EvalClassificationError = 0.72399902 * 81920; totalSamplesSeen = 81920; learningRatePerSample = 0.001953125; epochTime=6.77057s
MPI Rank 1: 12/09/2017 11:42:41:  Before Epoch[2], previous minibatchSize 64 is considered invalid -> resetting.
MPI Rank 1: 12/09/2017 11:42:41:  AdaptiveMinibatchSearch Epoch[2]: Evaluating minibatchSizes 64..8192
MPI Rank 1: 12/09/2017 11:42:41:  AdaptiveMinibatchSearch Epoch[2]: Evaluating trial minibatchSize=64 (search range: 64..8192)...
MPI Rank 1: minibatchiterator: epoch 1: frames [81920..163840] (first utterance at frame 81920), data subset 1 of 2, with 1 datapasses
MPI Rank 1: 
MPI Rank 1: 12/09/2017 11:42:41: Starting minibatch loop, DataParallelSGD training (myRank = 1, numNodes = 2, numGradientBits = 2), distributed reading is ENABLED.
MPI Rank 1: 12/09/2017 11:42:41:   BaseAdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[   1-  10, 0.78%]: CrossEntropyWithSoftmax = 2.24345569 * 640; EvalClassificationError = 0.57968750 * 640; time = 0.0524s; samplesPerSecond = 12224.7
MPI Rank 1: 12/09/2017 11:42:41:   BaseAdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  11-  20, 1.56%]: CrossEntropyWithSoftmax = 2.11726416 * 640; EvalClassificationError = 0.53593750 * 640; time = 0.0528s; samplesPerSecond = 12121.4
MPI Rank 1: 12/09/2017 11:42:41:   BaseAdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  21-  30, 2.34%]: CrossEntropyWithSoftmax = 2.24394174 * 640; EvalClassificationError = 0.60468750 * 640; time = 0.0528s; samplesPerSecond = 12127.3
MPI Rank 1: 12/09/2017 11:42:41:   BaseAdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  31-  40, 3.12%]: CrossEntropyWithSoftmax = 2.06177196 * 640; EvalClassificationError = 0.57187500 * 640; time = 0.0527s; samplesPerSecond = 12137.9
MPI Rank 1: 12/09/2017 11:42:41:   BaseAdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  41-  50, 3.91%]: CrossEntropyWithSoftmax = 2.23389755 * 640; EvalClassificationError = 0.61250000 * 640; time = 0.0528s; samplesPerSecond = 12111.9
MPI Rank 1: 12/09/2017 11:42:41:   BaseAdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  51-  60, 4.69%]: CrossEntropyWithSoftmax = 2.15135823 * 640; EvalClassificationError = 0.58281250 * 640; time = 0.0532s; samplesPerSecond = 12036.1
MPI Rank 1: 12/09/2017 11:42:41:   BaseAdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  61-  70, 5.47%]: CrossEntropyWithSoftmax = 2.23572304 * 640; EvalClassificationError = 0.59843750 * 640; time = 0.0526s; samplesPerSecond = 12169.9
MPI Rank 1: 12/09/2017 11:42:41:   BaseAdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  71-  80, 6.25%]: CrossEntropyWithSoftmax = 2.08929700 * 640; EvalClassificationError = 0.57968750 * 640; time = 0.0526s; samplesPerSecond = 12160.9
MPI Rank 1: 12/09/2017 11:42:41:   BaseAdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  81-  90, 7.03%]: CrossEntropyWithSoftmax = 2.11455068 * 640; EvalClassificationError = 0.57031250 * 640; time = 0.0527s; samplesPerSecond = 12146.5
MPI Rank 1: 12/09/2017 11:42:41:   BaseAdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  91- 100, 7.81%]: CrossEntropyWithSoftmax = 2.13393175 * 640; EvalClassificationError = 0.55625000 * 640; time = 0.0524s; samplesPerSecond = 12204.7
MPI Rank 1: 12/09/2017 11:42:41:   BaseAdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[ 101- 110, 8.59%]: CrossEntropyWithSoftmax = 2.10447653 * 640; EvalClassificationError = 0.60937500 * 640; time = 0.0526s; samplesPerSecond = 12156.2
MPI Rank 1: 12/09/2017 11:42:41:   BaseAdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[ 111- 120, 9.38%]: CrossEntropyWithSoftmax = 2.03272154 * 640; EvalClassificationError = 0.57031250 * 640; time = 0.0528s; samplesPerSecond = 12130.6
MPI Rank 1: 12/09/2017 11:42:42:   BaseAdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[ 121- 130, 10.16%]: CrossEntropyWithSoftmax = 2.10075962 * 640; EvalClassificationError = 0.59843750 * 640; time = 0.0527s; samplesPerSecond = 12141.1
MPI Rank 1: 12/09/2017 11:42:42:   BaseAdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[ 131- 140, 10.94%]: CrossEntropyWithSoftmax = 2.08829784 * 640; EvalClassificationError = 0.55781250 * 640; time = 0.0530s; samplesPerSecond = 12073.0
MPI Rank 1: 12/09/2017 11:42:42:   BaseAdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[ 141- 150, 11.72%]: CrossEntropyWithSoftmax = 2.11153577 * 640; EvalClassificationError = 0.57656250 * 640; time = 0.0521s; samplesPerSecond = 12285.8
MPI Rank 1: 12/09/2017 11:42:42:   BaseAdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[ 151- 160, 12.50%]: CrossEntropyWithSoftmax = 2.13992512 * 640; EvalClassificationError = 0.57812500 * 640; time = 0.0526s; samplesPerSecond = 12171.4
MPI Rank 1: 12/09/2017 11:42:42:  Finished Mini-Epoch[2]: CrossEntropyWithSoftmax = 2.13909668 * 10304; EvalClassificationError = 0.58006599 * 10304; learningRatePerSample = 0.001953125; minibatchSize = 64
MPI Rank 1: ValidateSubNetwork: InvStdOfFeatures InvStdDev operation changed, from [363 x 1] to [363].ValidateSubNetwork: MeanOfFeatures Mean operation changed, from [363 x 1] to [363].ValidateSubNetwork: Prior Mean operation changed, from [132 x 1] to [132].12/09/2017 11:42:42:  AdaptiveMinibatchSearch Epoch[2]: Computed baseCriterion 2.13909668 for minibatchSize=64
MPI Rank 1: 12/09/2017 11:42:42:  AdaptiveMinibatchSearch Epoch[2]: Evaluating trial minibatchSize=64 (search range: 64..8192)...
MPI Rank 1: minibatchiterator: epoch 1: frames [81920..163840] (first utterance at frame 81920), data subset 1 of 2, with 1 datapasses
MPI Rank 1: 
MPI Rank 1: 12/09/2017 11:42:42: Starting minibatch loop, DataParallelSGD training (myRank = 1, numNodes = 2, numGradientBits = 2), distributed reading is ENABLED.
MPI Rank 1: 12/09/2017 11:42:42:   AdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[   1-  10, 0.78%]: CrossEntropyWithSoftmax = 2.24345569 * 640; EvalClassificationError = 0.57968750 * 640; time = 0.0524s; samplesPerSecond = 12218.5
MPI Rank 1: 12/09/2017 11:42:42:   AdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  11-  20, 1.56%]: CrossEntropyWithSoftmax = 2.11726416 * 640; EvalClassificationError = 0.53593750 * 640; time = 0.0528s; samplesPerSecond = 12122.1
MPI Rank 1: 12/09/2017 11:42:42:   AdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  21-  30, 2.34%]: CrossEntropyWithSoftmax = 2.24394174 * 640; EvalClassificationError = 0.60468750 * 640; time = 0.0528s; samplesPerSecond = 12113.0
MPI Rank 1: 12/09/2017 11:42:42:   AdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  31-  40, 3.12%]: CrossEntropyWithSoftmax = 2.06177196 * 640; EvalClassificationError = 0.57187500 * 640; time = 0.0527s; samplesPerSecond = 12142.2
MPI Rank 1: 12/09/2017 11:42:42:   AdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  41-  50, 3.91%]: CrossEntropyWithSoftmax = 2.23389755 * 640; EvalClassificationError = 0.61250000 * 640; time = 0.0529s; samplesPerSecond = 12089.7
MPI Rank 1: 12/09/2017 11:42:42:   AdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  51-  60, 4.69%]: CrossEntropyWithSoftmax = 2.15135823 * 640; EvalClassificationError = 0.58281250 * 640; time = 0.0528s; samplesPerSecond = 12114.3
MPI Rank 1: 12/09/2017 11:42:42:   AdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  61-  70, 5.47%]: CrossEntropyWithSoftmax = 2.23572304 * 640; EvalClassificationError = 0.59843750 * 640; time = 0.0524s; samplesPerSecond = 12218.9
MPI Rank 1: 12/09/2017 11:42:42:   AdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  71-  80, 6.25%]: CrossEntropyWithSoftmax = 2.08929700 * 640; EvalClassificationError = 0.57968750 * 640; time = 0.0526s; samplesPerSecond = 12155.9
MPI Rank 1: 12/09/2017 11:42:42:   AdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  81-  90, 7.03%]: CrossEntropyWithSoftmax = 2.11455068 * 640; EvalClassificationError = 0.57031250 * 640; time = 0.0526s; samplesPerSecond = 12169.8
MPI Rank 1: 12/09/2017 11:42:42:   AdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  91- 100, 7.81%]: CrossEntropyWithSoftmax = 2.13393175 * 640; EvalClassificationError = 0.55625000 * 640; time = 0.0530s; samplesPerSecond = 12074.9
MPI Rank 1: 12/09/2017 11:42:42:   AdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[ 101- 110, 8.59%]: CrossEntropyWithSoftmax = 2.10447653 * 640; EvalClassificationError = 0.60937500 * 640; time = 0.0528s; samplesPerSecond = 12120.9
MPI Rank 1: 12/09/2017 11:42:42:   AdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[ 111- 120, 9.38%]: CrossEntropyWithSoftmax = 2.03272154 * 640; EvalClassificationError = 0.57031250 * 640; time = 0.0625s; samplesPerSecond = 10237.5
MPI Rank 1: 12/09/2017 11:42:42:   AdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[ 121- 130, 10.16%]: CrossEntropyWithSoftmax = 2.10075962 * 640; EvalClassificationError = 0.59843750 * 640; time = 0.0527s; samplesPerSecond = 12148.0
MPI Rank 1: 12/09/2017 11:42:42:   AdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[ 131- 140, 10.94%]: CrossEntropyWithSoftmax = 2.08829784 * 640; EvalClassificationError = 0.55781250 * 640; time = 0.0527s; samplesPerSecond = 12133.3
MPI Rank 1: 12/09/2017 11:42:43:   AdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[ 141- 150, 11.72%]: CrossEntropyWithSoftmax = 2.11153577 * 640; EvalClassificationError = 0.57656250 * 640; time = 0.0521s; samplesPerSecond = 12286.5
MPI Rank 1: 12/09/2017 11:42:43:   AdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[ 151- 160, 12.50%]: CrossEntropyWithSoftmax = 2.13992512 * 640; EvalClassificationError = 0.57812500 * 640; time = 0.0526s; samplesPerSecond = 12175.9
MPI Rank 1: 12/09/2017 11:42:43:  Finished Mini-Epoch[2]: CrossEntropyWithSoftmax = 2.13909668 * 10304; EvalClassificationError = 0.58006599 * 10304; learningRatePerSample = 0.001953125; minibatchSize = 64
MPI Rank 1: ValidateSubNetwork: InvStdOfFeatures InvStdDev operation changed, from [363 x 1] to [363].ValidateSubNetwork: MeanOfFeatures Mean operation changed, from [363 x 1] to [363].ValidateSubNetwork: Prior Mean operation changed, from [132 x 1] to [132].12/09/2017 11:42:43:  AdaptiveMinibatchSearch Epoch[2]: Keep searching... epochCriterion = 2.13909668 vs. baseCriterion = 2.13909668
MPI Rank 1: 12/09/2017 11:42:43:  AdaptiveMinibatchSearch Epoch[2]: Evaluating trial minibatchSize=128 (search range: 64..8192)...
MPI Rank 1: minibatchiterator: epoch 1: frames [81920..163840] (first utterance at frame 81920), data subset 1 of 2, with 1 datapasses
MPI Rank 1: 
MPI Rank 1: 12/09/2017 11:42:43: Starting minibatch loop, DataParallelSGD training (myRank = 1, numNodes = 2, numGradientBits = 2), distributed reading is ENABLED.
MPI Rank 1: 12/09/2017 11:42:43:   AdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[   1-  10, 1.56%]: CrossEntropyWithSoftmax = 2.18035914 * 1280; EvalClassificationError = 0.55625000 * 1280; time = 0.0695s; samplesPerSecond = 18407.3
MPI Rank 1: 12/09/2017 11:42:43:   AdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  11-  20, 3.12%]: CrossEntropyWithSoftmax = 2.16542849 * 1280; EvalClassificationError = 0.59062500 * 1280; time = 0.0697s; samplesPerSecond = 18359.3
MPI Rank 1: 12/09/2017 11:42:43:   AdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  21-  30, 4.69%]: CrossEntropyWithSoftmax = 2.23789734 * 1280; EvalClassificationError = 0.60468750 * 1280; time = 0.0702s; samplesPerSecond = 18226.0
MPI Rank 1: 12/09/2017 11:42:43:   AdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  31-  40, 6.25%]: CrossEntropyWithSoftmax = 2.24962172 * 1280; EvalClassificationError = 0.60781250 * 1280; time = 0.0703s; samplesPerSecond = 18220.6
MPI Rank 1: 12/09/2017 11:42:43:   AdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  41-  50, 7.81%]: CrossEntropyWithSoftmax = 2.12575209 * 1280; EvalClassificationError = 0.56250000 * 1280; time = 0.0702s; samplesPerSecond = 18232.6
MPI Rank 1: 12/09/2017 11:42:43:   AdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  51-  60, 9.38%]: CrossEntropyWithSoftmax = 2.09433307 * 1280; EvalClassificationError = 0.58437500 * 1280; time = 0.0700s; samplesPerSecond = 18288.9
MPI Rank 1: 12/09/2017 11:42:43:   AdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  61-  70, 10.94%]: CrossEntropyWithSoftmax = 2.12415316 * 1280; EvalClassificationError = 0.59218750 * 1280; time = 0.0701s; samplesPerSecond = 18256.6
MPI Rank 1: 12/09/2017 11:42:43:   AdaptiveMinibatchSearch: Epoch[ 2 of 3]-Minibatch[  71-  80, 12.50%]: CrossEntropyWithSoftmax = 2.15271346 * 1280; EvalClassificationError = 0.57265625 * 1280; time = 0.0706s; samplesPerSecond = 18127.3
MPI Rank 1: 12/09/2017 11:42:43:  Finished Mini-Epoch[2]: CrossEntropyWithSoftmax = 2.16720822 * 10368; EvalClassificationError = 0.58381559 * 10368; learningRatePerSample = 0.001953125; minibatchSize = 128
MPI Rank 1: ValidateSubNetwork: InvStdOfFeatures InvStdDev operation changed, from [363 x 1] to [363].ValidateSubNetwork: MeanOfFeatures Mean operation changed, from [363 x 1] to [363].ValidateSubNetwork: Prior Mean operation changed, from [132 x 1] to [132].12/09/2017 11:42:43:  AdaptiveMinibatchSearch Epoch[2]: Search successful. New minibatchSize is 64. epochCriterion = 2.13909668 vs baseCriterion = 2.13909668
MPI Rank 1: 
MPI Rank 1: 12/09/2017 11:42:43: Starting Epoch 2: learning rate per sample = 0.001953  effective momentum = 0.939413  momentum as time constant = 1024.0 samples
MPI Rank 1: minibatchiterator: epoch 1: frames [81920..163840] (first utterance at frame 81920), data subset 1 of 2, with 1 datapasses
MPI Rank 1: 
MPI Rank 1: 12/09/2017 11:42:43: Starting minibatch loop, DataParallelSGD training (myRank = 1, numNodes = 2, numGradientBits = 2), distributed reading is ENABLED.
MPI Rank 1: 12/09/2017 11:42:43:  Epoch[ 2 of 3]-Minibatch[   1-  10, 0.78%]: CrossEntropyWithSoftmax = 2.24345569 * 640; EvalClassificationError = 0.57968750 * 640; time = 0.0524s; samplesPerSecond = 12209.5
MPI Rank 1: 12/09/2017 11:42:43:  Epoch[ 2 of 3]-Minibatch[  11-  20, 1.56%]: CrossEntropyWithSoftmax = 2.11726416 * 640; EvalClassificationError = 0.53593750 * 640; time = 0.0526s; samplesPerSecond = 12157.2
MPI Rank 1: 12/09/2017 11:42:43:  Epoch[ 2 of 3]-Minibatch[  21-  30, 2.34%]: CrossEntropyWithSoftmax = 2.24394174 * 640; EvalClassificationError = 0.60468750 * 640; time = 0.0527s; samplesPerSecond = 12149.5
MPI Rank 1: 12/09/2017 11:42:43:  Epoch[ 2 of 3]-Minibatch[  31-  40, 3.12%]: CrossEntropyWithSoftmax = 2.06177196 * 640; EvalClassificationError = 0.57187500 * 640; time = 0.0527s; samplesPerSecond = 12138.6
MPI Rank 1: 12/09/2017 11:42:44:  Epoch[ 2 of 3]-Minibatch[  41-  50, 3.91%]: CrossEntropyWithSoftmax = 2.23389755 * 640; EvalClassificationError = 0.61250000 * 640; time = 0.0527s; samplesPerSecond = 12133.4
MPI Rank 1: 12/09/2017 11:42:44:  Epoch[ 2 of 3]-Minibatch[  51-  60, 4.69%]: CrossEntropyWithSoftmax = 2.15135823 * 640; EvalClassificationError = 0.58281250 * 640; time = 0.0532s; samplesPerSecond = 12040.7
MPI Rank 1: 12/09/2017 11:42:44:  Epoch[ 2 of 3]-Minibatch[  61-  70, 5.47%]: CrossEntropyWithSoftmax = 2.23572304 * 640; EvalClassificationError = 0.59843750 * 640; time = 0.0526s; samplesPerSecond = 12170.6
MPI Rank 1: 12/09/2017 11:42:44:  Epoch[ 2 of 3]-Minibatch[  71-  80, 6.25%]: CrossEntropyWithSoftmax = 2.08929700 * 640; EvalClassificationError = 0.57968750 * 640; time = 0.0526s; samplesPerSecond = 12160.6
MPI Rank 1: 12/09/2017 11:42:44:  Epoch[ 2 of 3]-Minibatch[  81-  90, 7.03%]: CrossEntropyWithSoftmax = 2.11455068 * 640; EvalClassificationError = 0.57031250 * 640; time = 0.0527s; samplesPerSecond = 12139.6
MPI Rank 1: 12/09/2017 11:42:44:  Epoch[ 2 of 3]-Minibatch[  91- 100, 7.81%]: CrossEntropyWithSoftmax = 2.13393175 * 640; EvalClassificationError = 0.55625000 * 640; time = 0.0524s; samplesPerSecond = 12204.5
MPI Rank 1: 12/09/2017 11:42:44:  Epoch[ 2 of 3]-Minibatch[ 101- 110, 8.59%]: CrossEntropyWithSoftmax = 2.10447653 * 640; EvalClassificationError = 0.60937500 * 640; time = 0.0527s; samplesPerSecond = 12138.3
MPI Rank 1: 12/09/2017 11:42:44:  Epoch[ 2 of 3]-Minibatch[ 111- 120, 9.38%]: CrossEntropyWithSoftmax = 2.03272154 * 640; EvalClassificationError = 0.57031250 * 640; time = 0.0527s; samplesPerSecond = 12149.1
MPI Rank 1: 12/09/2017 11:42:44:  Epoch[ 2 of 3]-Minibatch[ 121- 130, 10.16%]: CrossEntropyWithSoftmax = 2.10075962 * 640; EvalClassificationError = 0.59843750 * 640; time = 0.0527s; samplesPerSecond = 12132.9
MPI Rank 1: 12/09/2017 11:42:44:  Epoch[ 2 of 3]-Minibatch[ 131- 140, 10.94%]: CrossEntropyWithSoftmax = 2.08829784 * 640; EvalClassificationError = 0.55781250 * 640; time = 0.0528s; samplesPerSecond = 12130.6
MPI Rank 1: 12/09/2017 11:42:44:  Epoch[ 2 of 3]-Minibatch[ 141- 150, 11.72%]: CrossEntropyWithSoftmax = 2.11153577 * 640; EvalClassificationError = 0.57656250 * 640; time = 0.0523s; samplesPerSecond = 12248.3
MPI Rank 1: 12/09/2017 11:42:44:  Epoch[ 2 of 3]-Minibatch[ 151- 160, 12.50%]: CrossEntropyWithSoftmax = 2.13992512 * 640; EvalClassificationError = 0.57812500 * 640; time = 0.0527s; samplesPerSecond = 12148.8
MPI Rank 1: 12/09/2017 11:42:44:  Epoch[ 2 of 3]-Minibatch[ 161- 170, 13.28%]: CrossEntropyWithSoftmax = 2.03696412 * 640; EvalClassificationError = 0.53125000 * 640; time = 0.0527s; samplesPerSecond = 12152.3
MPI Rank 1: 12/09/2017 11:42:44:  Epoch[ 2 of 3]-Minibatch[ 171- 180, 14.06%]: CrossEntropyWithSoftmax = 2.08757758 * 640; EvalClassificationError = 0.56875000 * 640; time = 0.0527s; samplesPerSecond = 12148.4
MPI Rank 1: 12/09/2017 11:42:44:  Epoch[ 2 of 3]-Minibatch[ 181- 190, 14.84%]: CrossEntropyWithSoftmax = 2.11149906 * 640; EvalClassificationError = 0.56718750 * 640; time = 0.0525s; samplesPerSecond = 12189.6
MPI Rank 1: 12/09/2017 11:42:44:  Epoch[ 2 of 3]-Minibatch[ 191- 200, 15.62%]: CrossEntropyWithSoftmax = 2.05167017 * 640; EvalClassificationError = 0.55000000 * 640; time = 0.0528s; samplesPerSecond = 12123.0
MPI Rank 1: 12/09/2017 11:42:44:  Epoch[ 2 of 3]-Minibatch[ 201- 210, 16.41%]: CrossEntropyWithSoftmax = 2.00493098 * 640; EvalClassificationError = 0.56718750 * 640; time = 0.0526s; samplesPerSecond = 12177.0
MPI Rank 1: 12/09/2017 11:42:44:  Epoch[ 2 of 3]-Minibatch[ 211- 220, 17.19%]: CrossEntropyWithSoftmax = 1.92069715 * 640; EvalClassificationError = 0.52343750 * 640; time = 0.0529s; samplesPerSecond = 12095.9
MPI Rank 1: 12/09/2017 11:42:44:  Epoch[ 2 of 3]-Minibatch[ 221- 230, 17.97%]: CrossEntropyWithSoftmax = 1.94590018 * 640; EvalClassificationError = 0.51406250 * 640; time = 0.0529s; samplesPerSecond = 12106.0
MPI Rank 1: 12/09/2017 11:42:45:  Epoch[ 2 of 3]-Minibatch[ 231- 240, 18.75%]: CrossEntropyWithSoftmax = 2.01192430 * 640; EvalClassificationError = 0.53125000 * 640; time = 0.0529s; samplesPerSecond = 12088.4
MPI Rank 1: 12/09/2017 11:42:45:  Epoch[ 2 of 3]-Minibatch[ 241- 250, 19.53%]: CrossEntropyWithSoftmax = 2.05045986 * 640; EvalClassificationError = 0.55781250 * 640; time = 0.0527s; samplesPerSecond = 12137.5
MPI Rank 1: 12/09/2017 11:42:45:  Epoch[ 2 of 3]-Minibatch[ 251- 260, 20.31%]: CrossEntropyWithSoftmax = 2.06344648 * 640; EvalClassificationError = 0.52187500 * 640; time = 0.0527s; samplesPerSecond = 12151.2
MPI Rank 1: 12/09/2017 11:42:45:  Epoch[ 2 of 3]-Minibatch[ 261- 270, 21.09%]: CrossEntropyWithSoftmax = 1.99464522 * 640; EvalClassificationError = 0.53125000 * 640; time = 0.0525s; samplesPerSecond = 12182.1
MPI Rank 1: 12/09/2017 11:42:45:  Epoch[ 2 of 3]-Minibatch[ 271- 280, 21.88%]: CrossEntropyWithSoftmax = 1.97146917 * 640; EvalClassificationError = 0.55468750 * 640; time = 0.0524s; samplesPerSecond = 12211.6
MPI Rank 1: 12/09/2017 11:42:45:  Epoch[ 2 of 3]-Minibatch[ 281- 290, 22.66%]: CrossEntropyWithSoftmax = 2.05809342 * 640; EvalClassificationError = 0.56093750 * 640; time = 0.0531s; samplesPerSecond = 12044.9
MPI Rank 1: 12/09/2017 11:42:45:  Epoch[ 2 of 3]-Minibatch[ 291- 300, 23.44%]: CrossEntropyWithSoftmax = 2.09955355 * 640; EvalClassificationError = 0.57812500 * 640; time = 0.0525s; samplesPerSecond = 12200.0
MPI Rank 1: 12/09/2017 11:42:45:  Epoch[ 2 of 3]-Minibatch[ 301- 310, 24.22%]: CrossEntropyWithSoftmax = 1.94965369 * 640; EvalClassificationError = 0.53125000 * 640; time = 0.0527s; samplesPerSecond = 12145.1
MPI Rank 1: 12/09/2017 11:42:45:  Epoch[ 2 of 3]-Minibatch[ 311- 320, 25.00%]: CrossEntropyWithSoftmax = 1.89532276 * 640; EvalClassificationError = 0.54375000 * 640; time = 0.0525s; samplesPerSecond = 12183.1
MPI Rank 1: 12/09/2017 11:42:45:  Epoch[ 2 of 3]-Minibatch[ 321- 330, 25.78%]: CrossEntropyWithSoftmax = 2.08372134 * 640; EvalClassificationError = 0.58125000 * 640; time = 0.0529s; samplesPerSecond = 12102.2
MPI Rank 1: 12/09/2017 11:42:45:  Epoch[ 2 of 3]-Minibatch[ 331- 340, 26.56%]: CrossEntropyWithSoftmax = 1.99598456 * 640; EvalClassificationError = 0.54687500 * 640; time = 0.0522s; samplesPerSecond = 12262.0
MPI Rank 1: 12/09/2017 11:42:45:  Epoch[ 2 of 3]-Minibatch[ 341- 350, 27.34%]: CrossEntropyWithSoftmax = 1.97715214 * 640; EvalClassificationError = 0.54062500 * 640; time = 0.0528s; samplesPerSecond = 12131.1
MPI Rank 1: 12/09/2017 11:42:45:  Epoch[ 2 of 3]-Minibatch[ 351- 360, 28.12%]: CrossEntropyWithSoftmax = 1.93971995 * 640; EvalClassificationError = 0.53437500 * 640; time = 0.0529s; samplesPerSecond = 12102.3
MPI Rank 1: 12/09/2017 11:42:45:  Epoch[ 2 of 3]-Minibatch[ 361- 370, 28.91%]: CrossEntropyWithSoftmax = 1.96514227 * 640; EvalClassificationError = 0.55937500 * 640; time = 0.0523s; samplesPerSecond = 12230.9
MPI Rank 1: 12/09/2017 11:42:45:  Epoch[ 2 of 3]-Minibatch[ 371- 380, 29.69%]: CrossEntropyWithSoftmax = 1.94702695 * 640; EvalClassificationError = 0.53906250 * 640; time = 0.0525s; samplesPerSecond = 12189.3
MPI Rank 1: 12/09/2017 11:42:45:  Epoch[ 2 of 3]-Minibatch[ 381- 390, 30.47%]: CrossEntropyWithSoftmax = 2.04018427 * 640; EvalClassificationError = 0.56875000 * 640; time = 0.0527s; samplesPerSecond = 12137.3
MPI Rank 1: 12/09/2017 11:42:45:  Epoch[ 2 of 3]-Minibatch[ 391- 400, 31.25%]: CrossEntropyWithSoftmax = 2.06790219 * 640; EvalClassificationError = 0.58906250 * 640; time = 0.0585s; samplesPerSecond = 10932.0
MPI Rank 1: 12/09/2017 11:42:45:  Epoch[ 2 of 3]-Minibatch[ 401- 410, 32.03%]: CrossEntropyWithSoftmax = 1.89286357 * 640; EvalClassificationError = 0.52968750 * 640; time = 0.0526s; samplesPerSecond = 12161.5
MPI Rank 1: 12/09/2017 11:42:45:  Epoch[ 2 of 3]-Minibatch[ 411- 420, 32.81%]: CrossEntropyWithSoftmax = 1.96330843 * 640; EvalClassificationError = 0.54531250 * 640; time = 0.0526s; samplesPerSecond = 12171.0
MPI Rank 1: 12/09/2017 11:42:46:  Epoch[ 2 of 3]-Minibatch[ 421- 430, 33.59%]: CrossEntropyWithSoftmax = 1.77992018 * 640; EvalClassificationError = 0.49375000 * 640; time = 0.0530s; samplesPerSecond = 12070.6
MPI Rank 1: 12/09/2017 11:42:46:  Epoch[ 2 of 3]-Minibatch[ 431- 440, 34.38%]: CrossEntropyWithSoftmax = 2.00866093 * 640; EvalClassificationError = 0.55156250 * 640; time = 0.0525s; samplesPerSecond = 12184.7
MPI Rank 1: 12/09/2017 11:42:46:  Epoch[ 2 of 3]-Minibatch[ 441- 450, 35.16%]: CrossEntropyWithSoftmax = 1.85906591 * 640; EvalClassificationError = 0.50625000 * 640; time = 0.0538s; samplesPerSecond = 11899.9
MPI Rank 1: 12/09/2017 11:42:46:  Epoch[ 2 of 3]-Minibatch[ 451- 460, 35.94%]: CrossEntropyWithSoftmax = 1.94785883 * 640; EvalClassificationError = 0.53593750 * 640; time = 0.0527s; samplesPerSecond = 12146.6
MPI Rank 1: 12/09/2017 11:42:46:  Epoch[ 2 of 3]-Minibatch[ 461- 470, 36.72%]: CrossEntropyWithSoftmax = 1.91001455 * 640; EvalClassificationError = 0.50468750 * 640; time = 0.0528s; samplesPerSecond = 12132.6
MPI Rank 1: 12/09/2017 11:42:46:  Epoch[ 2 of 3]-Minibatch[ 471- 480, 37.50%]: CrossEntropyWithSoftmax = 1.89670427 * 640; EvalClassificationError = 0.52812500 * 640; time = 0.0528s; samplesPerSecond = 12118.4
MPI Rank 1: 12/09/2017 11:42:46:  Epoch[ 2 of 3]-Minibatch[ 481- 490, 38.28%]: CrossEntropyWithSoftmax = 1.83345238 * 640; EvalClassificationError = 0.52812500 * 640; time = 0.0528s; samplesPerSecond = 12120.2
MPI Rank 1: 12/09/2017 11:42:46:  Epoch[ 2 of 3]-Minibatch[ 491- 500, 39.06%]: CrossEntropyWithSoftmax = 1.93778483 * 640; EvalClassificationError = 0.51875000 * 640; time = 0.0529s; samplesPerSecond = 12097.6
MPI Rank 1: 12/09/2017 11:42:46:  Epoch[ 2 of 3]-Minibatch[ 501- 510, 39.84%]: CrossEntropyWithSoftmax = 1.89620364 * 640; EvalClassificationError = 0.51250000 * 640; time = 0.0522s; samplesPerSecond = 12258.5
MPI Rank 1: 12/09/2017 11:42:46:  Epoch[ 2 of 3]-Minibatch[ 511- 520, 40.62%]: CrossEntropyWithSoftmax = 1.84840512 * 640; EvalClassificationError = 0.53125000 * 640; time = 0.0529s; samplesPerSecond = 12088.8
MPI Rank 1: 12/09/2017 11:42:46:  Epoch[ 2 of 3]-Minibatch[ 521- 530, 41.41%]: CrossEntropyWithSoftmax = 1.78906273 * 640; EvalClassificationError = 0.50781250 * 640; time = 0.0528s; samplesPerSecond = 12130.1
MPI Rank 1: 12/09/2017 11:42:46:  Epoch[ 2 of 3]-Minibatch[ 531- 540, 42.19%]: CrossEntropyWithSoftmax = 1.83918319 * 640; EvalClassificationError = 0.54375000 * 640; time = 0.0526s; samplesPerSecond = 12158.6
MPI Rank 1: 12/09/2017 11:42:46:  Epoch[ 2 of 3]-Minibatch[ 541- 550, 42.97%]: CrossEntropyWithSoftmax = 1.93728116 * 640; EvalClassificationError = 0.53125000 * 640; time = 0.0529s; samplesPerSecond = 12108.3
MPI Rank 1: 12/09/2017 11:42:46:  Epoch[ 2 of 3]-Minibatch[ 551- 560, 43.75%]: CrossEntropyWithSoftmax = 1.82117036 * 640; EvalClassificationError = 0.50468750 * 640; time = 0.0529s; samplesPerSecond = 12107.6
MPI Rank 1: 12/09/2017 11:42:46:  Epoch[ 2 of 3]-Minibatch[ 561- 570, 44.53%]: CrossEntropyWithSoftmax = 1.82624918 * 640; EvalClassificationError = 0.48281250 * 640; time = 0.0526s; samplesPerSecond = 12162.9
MPI Rank 1: 12/09/2017 11:42:46:  Epoch[ 2 of 3]-Minibatch[ 571- 580, 45.31%]: CrossEntropyWithSoftmax = 1.85774931 * 640; EvalClassificationError = 0.50312500 * 640; time = 0.0525s; samplesPerSecond = 12190.4
MPI Rank 1: 12/09/2017 11:42:46:  Epoch[ 2 of 3]-Minibatch[ 581- 590, 46.09%]: CrossEntropyWithSoftmax = 1.81113848 * 640; EvalClassificationError = 0.51875000 * 640; time = 0.0526s; samplesPerSecond = 12173.2
MPI Rank 1: 12/09/2017 11:42:46:  Epoch[ 2 of 3]-Minibatch[ 591- 600, 46.88%]: CrossEntropyWithSoftmax = 1.75392008 * 640; EvalClassificationError = 0.48750000 * 640; time = 0.0523s; samplesPerSecond = 12233.0
MPI Rank 1: 12/09/2017 11:42:46:  Epoch[ 2 of 3]-Minibatch[ 601- 610, 47.66%]: CrossEntropyWithSoftmax = 1.78522636 * 640; EvalClassificationError = 0.51875000 * 640; time = 0.0527s; samplesPerSecond = 12140.6
MPI Rank 1: 12/09/2017 11:42:47:  Epoch[ 2 of 3]-Minibatch[ 611- 620, 48.44%]: CrossEntropyWithSoftmax = 1.85151281 * 640; EvalClassificationError = 0.51250000 * 640; time = 0.0526s; samplesPerSecond = 12165.6
MPI Rank 1: 12/09/2017 11:42:47:  Epoch[ 2 of 3]-Minibatch[ 621- 630, 49.22%]: CrossEntropyWithSoftmax = 1.70197996 * 640; EvalClassificationError = 0.46875000 * 640; time = 0.0529s; samplesPerSecond = 12087.9
MPI Rank 1: 12/09/2017 11:42:47:  Epoch[ 2 of 3]-Minibatch[ 631- 640, 50.00%]: CrossEntropyWithSoftmax = 1.82808640 * 640; EvalClassificationError = 0.51718750 * 640; time = 0.0527s; samplesPerSecond = 12155.7
MPI Rank 1: 12/09/2017 11:42:47:  Epoch[ 2 of 3]-Minibatch[ 641- 650, 50.78%]: CrossEntropyWithSoftmax = 1.84716409 * 640; EvalClassificationError = 0.52343750 * 640; time = 0.0529s; samplesPerSecond = 12104.6
MPI Rank 1: 12/09/2017 11:42:47:  Epoch[ 2 of 3]-Minibatch[ 651- 660, 51.56%]: CrossEntropyWithSoftmax = 1.77120855 * 640; EvalClassificationError = 0.51093750 * 640; time = 0.0528s; samplesPerSecond = 12113.0
MPI Rank 1: 12/09/2017 11:42:47:  Epoch[ 2 of 3]-Minibatch[ 661- 670, 52.34%]: CrossEntropyWithSoftmax = 1.85172659 * 640; EvalClassificationError = 0.51875000 * 640; time = 0.0529s; samplesPerSecond = 12102.7
MPI Rank 1: 12/09/2017 11:42:47:  Epoch[ 2 of 3]-Minibatch[ 671- 680, 53.12%]: CrossEntropyWithSoftmax = 1.76495647 * 640; EvalClassificationError = 0.51562500 * 640; time = 0.0528s; samplesPerSecond = 12121.6
MPI Rank 1: 12/09/2017 11:42:47:  Epoch[ 2 of 3]-Minibatch[ 681- 690, 53.91%]: CrossEntropyWithSoftmax = 1.80611330 * 640; EvalClassificationError = 0.51406250 * 640; time = 0.0526s; samplesPerSecond = 12159.3
MPI Rank 1: 12/09/2017 11:42:47:  Epoch[ 2 of 3]-Minibatch[ 691- 700, 54.69%]: CrossEntropyWithSoftmax = 1.77632951 * 640; EvalClassificationError = 0.50781250 * 640; time = 0.0526s; samplesPerSecond = 12168.9
MPI Rank 1: 12/09/2017 11:42:47:  Epoch[ 2 of 3]-Minibatch[ 701- 710, 55.47%]: CrossEntropyWithSoftmax = 1.80533387 * 640; EvalClassificationError = 0.49687500 * 640; time = 0.0525s; samplesPerSecond = 12189.8
MPI Rank 1: 12/09/2017 11:42:47:  Epoch[ 2 of 3]-Minibatch[ 711- 720, 56.25%]: CrossEntropyWithSoftmax = 1.74054729 * 640; EvalClassificationError = 0.47656250 * 640; time = 0.0529s; samplesPerSecond = 12102.3
MPI Rank 1: 12/09/2017 11:42:47:  Epoch[ 2 of 3]-Minibatch[ 721- 730, 57.03%]: CrossEntropyWithSoftmax = 1.74427003 * 640; EvalClassificationError = 0.50625000 * 640; time = 0.0531s; samplesPerSecond = 12062.7
MPI Rank 1: 12/09/2017 11:42:47:  Epoch[ 2 of 3]-Minibatch[ 731- 740, 57.81%]: CrossEntropyWithSoftmax = 1.82078429 * 640; EvalClassificationError = 0.52343750 * 640; time = 0.0529s; samplesPerSecond = 12108.9
MPI Rank 1: 12/09/2017 11:42:47:  Epoch[ 2 of 3]-Minibatch[ 741- 750, 58.59%]: CrossEntropyWithSoftmax = 1.72747705 * 640; EvalClassificationError = 0.47031250 * 640; time = 0.0529s; samplesPerSecond = 12104.7
MPI Rank 1: 12/09/2017 11:42:47:  Epoch[ 2 of 3]-Minibatch[ 751- 760, 59.38%]: CrossEntropyWithSoftmax = 1.74800868 * 640; EvalClassificationError = 0.50468750 * 640; time = 0.0529s; samplesPerSecond = 12095.9
MPI Rank 1: 12/09/2017 11:42:47:  Epoch[ 2 of 3]-Minibatch[ 761- 770, 60.16%]: CrossEntropyWithSoftmax = 1.75387836 * 640; EvalClassificationError = 0.48437500 * 640; time = 0.0527s; samplesPerSecond = 12140.5
MPI Rank 1: 12/09/2017 11:42:47:  Epoch[ 2 of 3]-Minibatch[ 771- 780, 60.94%]: CrossEntropyWithSoftmax = 1.66449823 * 640; EvalClassificationError = 0.45625000 * 640; time = 0.0534s; samplesPerSecond = 11988.0
MPI Rank 1: 12/09/2017 11:42:47:  Epoch[ 2 of 3]-Minibatch[ 781- 790, 61.72%]: CrossEntropyWithSoftmax = 1.70638174 * 640; EvalClassificationError = 0.47656250 * 640; time = 0.0525s; samplesPerSecond = 12193.2
MPI Rank 1: 12/09/2017 11:42:47:  Epoch[ 2 of 3]-Minibatch[ 791- 800, 62.50%]: CrossEntropyWithSoftmax = 1.80524580 * 640; EvalClassificationError = 0.50937500 * 640; time = 0.0526s; samplesPerSecond = 12164.4
MPI Rank 1: 12/09/2017 11:42:48:  Epoch[ 2 of 3]-Minibatch[ 801- 810, 63.28%]: CrossEntropyWithSoftmax = 1.75186510 * 640; EvalClassificationError = 0.50468750 * 640; time = 0.0528s; samplesPerSecond = 12119.5
MPI Rank 1: 12/09/2017 11:42:48:  Epoch[ 2 of 3]-Minibatch[ 811- 820, 64.06%]: CrossEntropyWithSoftmax = 1.77466476 * 640; EvalClassificationError = 0.51093750 * 640; time = 0.0526s; samplesPerSecond = 12172.3
MPI Rank 1: 12/09/2017 11:42:48:  Epoch[ 2 of 3]-Minibatch[ 821- 830, 64.84%]: CrossEntropyWithSoftmax = 1.79485302 * 640; EvalClassificationError = 0.49843750 * 640; time = 0.0529s; samplesPerSecond = 12108.1
MPI Rank 1: 12/09/2017 11:42:48:  Epoch[ 2 of 3]-Minibatch[ 831- 840, 65.62%]: CrossEntropyWithSoftmax = 1.76510777 * 640; EvalClassificationError = 0.48593750 * 640; time = 0.0523s; samplesPerSecond = 12230.6
MPI Rank 1: 12/09/2017 11:42:48:  Epoch[ 2 of 3]-Minibatch[ 841- 850, 66.41%]: CrossEntropyWithSoftmax = 1.68907611 * 640; EvalClassificationError = 0.46875000 * 640; time = 0.0530s; samplesPerSecond = 12076.0
MPI Rank 1: 12/09/2017 11:42:48:  Epoch[ 2 of 3]-Minibatch[ 851- 860, 67.19%]: CrossEntropyWithSoftmax = 1.76971703 * 640; EvalClassificationError = 0.52031250 * 640; time = 0.0527s; samplesPerSecond = 12151.4
MPI Rank 1: 12/09/2017 11:42:48:  Epoch[ 2 of 3]-Minibatch[ 861- 870, 67.97%]: CrossEntropyWithSoftmax = 1.71029698 * 640; EvalClassificationError = 0.49531250 * 640; time = 0.0529s; samplesPerSecond = 12103.1
MPI Rank 1: 12/09/2017 11:42:48:  Epoch[ 2 of 3]-Minibatch[ 871- 880, 68.75%]: CrossEntropyWithSoftmax = 1.75345813 * 640; EvalClassificationError = 0.48593750 * 640; time = 0.0528s; samplesPerSecond = 12126.5
MPI Rank 1: 12/09/2017 11:42:48:  Epoch[ 2 of 3]-Minibatch[ 881- 890, 69.53%]: CrossEntropyWithSoftmax = 1.80794192 * 640; EvalClassificationError = 0.52812500 * 640; time = 0.0546s; samplesPerSecond = 11713.6
MPI Rank 1: 12/09/2017 11:42:48:  Epoch[ 2 of 3]-Minibatch[ 891- 900, 70.31%]: CrossEntropyWithSoftmax = 1.66729718 * 640; EvalClassificationError = 0.47187500 * 640; time = 0.0535s; samplesPerSecond = 11968.5
MPI Rank 1: 12/09/2017 11:42:48:  Epoch[ 2 of 3]-Minibatch[ 901- 910, 71.09%]: CrossEntropyWithSoftmax = 1.64674160 * 640; EvalClassificationError = 0.48906250 * 640; time = 0.0529s; samplesPerSecond = 12093.2
MPI Rank 1: 12/09/2017 11:42:48:  Epoch[ 2 of 3]-Minibatch[ 911- 920, 71.88%]: CrossEntropyWithSoftmax = 1.62473845 * 640; EvalClassificationError = 0.47031250 * 640; time = 0.0526s; samplesPerSecond = 12177.6
MPI Rank 1: 12/09/2017 11:42:48:  Epoch[ 2 of 3]-Minibatch[ 921- 930, 72.66%]: CrossEntropyWithSoftmax = 1.74612938 * 640; EvalClassificationError = 0.50937500 * 640; time = 0.0526s; samplesPerSecond = 12160.1
MPI Rank 1: 12/09/2017 11:42:48:  Epoch[ 2 of 3]-Minibatch[ 931- 940, 73.44%]: CrossEntropyWithSoftmax = 1.66665198 * 640; EvalClassificationError = 0.49062500 * 640; time = 0.0524s; samplesPerSecond = 12219.2
MPI Rank 1: 12/09/2017 11:42:48:  Epoch[ 2 of 3]-Minibatch[ 941- 950, 74.22%]: CrossEntropyWithSoftmax = 1.74558468 * 640; EvalClassificationError = 0.50312500 * 640; time = 0.0523s; samplesPerSecond = 12244.0
MPI Rank 1: 12/09/2017 11:42:48:  Epoch[ 2 of 3]-Minibatch[ 951- 960, 75.00%]: CrossEntropyWithSoftmax = 1.74369052 * 640; EvalClassificationError = 0.48750000 * 640; time = 0.0525s; samplesPerSecond = 12180.8
MPI Rank 1: 12/09/2017 11:42:48:  Epoch[ 2 of 3]-Minibatch[ 961- 970, 75.78%]: CrossEntropyWithSoftmax = 1.70484200 * 640; EvalClassificationError = 0.48750000 * 640; time = 0.0530s; samplesPerSecond = 12072.8
MPI Rank 1: 12/09/2017 11:42:48:  Epoch[ 2 of 3]-Minibatch[ 971- 980, 76.56%]: CrossEntropyWithSoftmax = 1.62752866 * 640; EvalClassificationError = 0.46406250 * 640; time = 0.0529s; samplesPerSecond = 12089.2
MPI Rank 1: 12/09/2017 11:42:48:  Epoch[ 2 of 3]-Minibatch[ 981- 990, 77.34%]: CrossEntropyWithSoftmax = 1.71044453 * 640; EvalClassificationError = 0.50781250 * 640; time = 0.0534s; samplesPerSecond = 11990.1
MPI Rank 1: 12/09/2017 11:42:49:  Epoch[ 2 of 3]-Minibatch[ 991-1000, 78.12%]: CrossEntropyWithSoftmax = 1.64231106 * 640; EvalClassificationError = 0.47500000 * 640; time = 0.0524s; samplesPerSecond = 12215.7
MPI Rank 1: 12/09/2017 11:42:49:  Epoch[ 2 of 3]-Minibatch[1001-1010, 78.91%]: CrossEntropyWithSoftmax = 1.67296999 * 640; EvalClassificationError = 0.46250000 * 640; time = 0.0525s; samplesPerSecond = 12185.6
MPI Rank 1: 12/09/2017 11:42:49:  Epoch[ 2 of 3]-Minibatch[1011-1020, 79.69%]: CrossEntropyWithSoftmax = 1.57502376 * 640; EvalClassificationError = 0.41406250 * 640; time = 0.0522s; samplesPerSecond = 12263.1
MPI Rank 1: 12/09/2017 11:42:49:  Epoch[ 2 of 3]-Minibatch[1021-1030, 80.47%]: CrossEntropyWithSoftmax = 1.68287023 * 640; EvalClassificationError = 0.47187500 * 640; time = 0.0529s; samplesPerSecond = 12096.4
MPI Rank 1: 12/09/2017 11:42:49:  Epoch[ 2 of 3]-Minibatch[1031-1040, 81.25%]: CrossEntropyWithSoftmax = 1.65061620 * 640; EvalClassificationError = 0.48125000 * 640; time = 0.0532s; samplesPerSecond = 12030.7
MPI Rank 1: 12/09/2017 11:42:49:  Epoch[ 2 of 3]-Minibatch[1041-1050, 82.03%]: CrossEntropyWithSoftmax = 1.62079683 * 640; EvalClassificationError = 0.45468750 * 640; time = 0.0526s; samplesPerSecond = 12157.6
MPI Rank 1: 12/09/2017 11:42:49:  Epoch[ 2 of 3]-Minibatch[1051-1060, 82.81%]: CrossEntropyWithSoftmax = 1.66100122 * 640; EvalClassificationError = 0.46718750 * 640; time = 0.0534s; samplesPerSecond = 11974.1
MPI Rank 1: 12/09/2017 11:42:49:  Epoch[ 2 of 3]-Minibatch[1061-1070, 83.59%]: CrossEntropyWithSoftmax = 1.67839365 * 640; EvalClassificationError = 0.47187500 * 640; time = 0.0528s; samplesPerSecond = 12128.4
MPI Rank 1: 12/09/2017 11:42:49:  Epoch[ 2 of 3]-Minibatch[1071-1080, 84.38%]: CrossEntropyWithSoftmax = 1.62602975 * 640; EvalClassificationError = 0.47031250 * 640; time = 0.0529s; samplesPerSecond = 12097.4
MPI Rank 1: 12/09/2017 11:42:49:  Epoch[ 2 of 3]-Minibatch[1081-1090, 85.16%]: CrossEntropyWithSoftmax = 1.63056822 * 640; EvalClassificationError = 0.45625000 * 640; time = 0.0524s; samplesPerSecond = 12214.0
MPI Rank 1: 12/09/2017 11:42:49:  Epoch[ 2 of 3]-Minibatch[1091-1100, 85.94%]: CrossEntropyWithSoftmax = 1.73921513 * 640; EvalClassificationError = 0.50468750 * 640; time = 0.0531s; samplesPerSecond = 12054.2
MPI Rank 1: 12/09/2017 11:42:49:  Epoch[ 2 of 3]-Minibatch[1101-1110, 86.72%]: CrossEntropyWithSoftmax = 1.62517627 * 640; EvalClassificationError = 0.46093750 * 640; time = 0.0528s; samplesPerSecond = 12128.8
MPI Rank 1: 12/09/2017 11:42:49:  Epoch[ 2 of 3]-Minibatch[1111-1120, 87.50%]: CrossEntropyWithSoftmax = 1.69217915 * 640; EvalClassificationError = 0.49687500 * 640; time = 0.0529s; samplesPerSecond = 12097.9
MPI Rank 1: 12/09/2017 11:42:49:  Epoch[ 2 of 3]-Minibatch[1121-1130, 88.28%]: CrossEntropyWithSoftmax = 1.69583538 * 640; EvalClassificationError = 0.48437500 * 640; time = 0.0523s; samplesPerSecond = 12226.2
MPI Rank 1: 12/09/2017 11:42:49:  Epoch[ 2 of 3]-Minibatch[1131-1140, 89.06%]: CrossEntropyWithSoftmax = 1.64523732 * 640; EvalClassificationError = 0.47500000 * 640; time = 0.0530s; samplesPerSecond = 12083.6
MPI Rank 1: 12/09/2017 11:42:49:  Epoch[ 2 of 3]-Minibatch[1141-1150, 89.84%]: CrossEntropyWithSoftmax = 1.60011496 * 640; EvalClassificationError = 0.45625000 * 640; time = 0.0527s; samplesPerSecond = 12153.8
MPI Rank 1: 12/09/2017 11:42:49:  Epoch[ 2 of 3]-Minibatch[1151-1160, 90.62%]: CrossEntropyWithSoftmax = 1.67694184 * 640; EvalClassificationError = 0.48281250 * 640; time = 0.0527s; samplesPerSecond = 12135.6
MPI Rank 1: 12/09/2017 11:42:49:  Epoch[ 2 of 3]-Minibatch[1161-1170, 91.41%]: CrossEntropyWithSoftmax = 1.54497381 * 640; EvalClassificationError = 0.47656250 * 640; time = 0.0530s; samplesPerSecond = 12077.7
MPI Rank 1: 12/09/2017 11:42:49:  Epoch[ 2 of 3]-Minibatch[1171-1180, 92.19%]: CrossEntropyWithSoftmax = 1.68520133 * 640; EvalClassificationError = 0.46406250 * 640; time = 0.0527s; samplesPerSecond = 12154.9
MPI Rank 1: 12/09/2017 11:42:50:  Epoch[ 2 of 3]-Minibatch[1181-1190, 92.97%]: CrossEntropyWithSoftmax = 1.63144441 * 640; EvalClassificationError = 0.46250000 * 640; time = 0.0532s; samplesPerSecond = 12033.0
MPI Rank 1: 12/09/2017 11:42:50:  Epoch[ 2 of 3]-Minibatch[1191-1200, 93.75%]: CrossEntropyWithSoftmax = 1.54244797 * 640; EvalClassificationError = 0.44843750 * 640; time = 0.0526s; samplesPerSecond = 12161.4
MPI Rank 1: 12/09/2017 11:42:50:  Epoch[ 2 of 3]-Minibatch[1201-1210, 94.53%]: CrossEntropyWithSoftmax = 1.60246191 * 640; EvalClassificationError = 0.48281250 * 640; time = 0.0532s; samplesPerSecond = 12040.0
MPI Rank 1: 12/09/2017 11:42:50:  Epoch[ 2 of 3]-Minibatch[1211-1220, 95.31%]: CrossEntropyWithSoftmax = 1.67302123 * 640; EvalClassificationError = 0.50468750 * 640; time = 0.0528s; samplesPerSecond = 12110.3
MPI Rank 1: 12/09/2017 11:42:50:  Epoch[ 2 of 3]-Minibatch[1221-1230, 96.09%]: CrossEntropyWithSoftmax = 1.52846922 * 640; EvalClassificationError = 0.43125000 * 640; time = 0.0526s; samplesPerSecond = 12178.7
MPI Rank 1: 12/09/2017 11:42:50:  Epoch[ 2 of 3]-Minibatch[1231-1240, 96.88%]: CrossEntropyWithSoftmax = 1.54806499 * 640; EvalClassificationError = 0.45156250 * 640; time = 0.0531s; samplesPerSecond = 12062.5
MPI Rank 1: 12/09/2017 11:42:50:  Epoch[ 2 of 3]-Minibatch[1241-1250, 97.66%]: CrossEntropyWithSoftmax = 1.52634466 * 640; EvalClassificationError = 0.43593750 * 640; time = 0.0530s; samplesPerSecond = 12064.9
MPI Rank 1: 12/09/2017 11:42:50:  Epoch[ 2 of 3]-Minibatch[1251-1260, 98.44%]: CrossEntropyWithSoftmax = 1.58503433 * 640; EvalClassificationError = 0.47343750 * 640; time = 0.0526s; samplesPerSecond = 12162.0
MPI Rank 1: 12/09/2017 11:42:50:  Epoch[ 2 of 3]-Minibatch[1261-1270, 99.22%]: CrossEntropyWithSoftmax = 1.61342985 * 640; EvalClassificationError = 0.46875000 * 640; time = 0.0523s; samplesPerSecond = 12228.4
MPI Rank 1: 12/09/2017 11:42:50:  Epoch[ 2 of 3]-Minibatch[1271-1280, 100.00%]: CrossEntropyWithSoftmax = 1.69453700 * 640; EvalClassificationError = 0.47500000 * 640; time = 0.0530s; samplesPerSecond = 12073.6
MPI Rank 1: 12/09/2017 11:42:50: Finished Epoch[ 2 of 3]: [Training] CrossEntropyWithSoftmax = 1.83887201 * 81920; EvalClassificationError = 0.51401367 * 81920; totalSamplesSeen = 163840; learningRatePerSample = 0.001953125; epochTime=9.17671s
MPI Rank 1: 12/09/2017 11:42:50:  AdaptiveMinibatchSearch Epoch[3]: Evaluating minibatchSizes 64..128
MPI Rank 1: 12/09/2017 11:42:50:  AdaptiveMinibatchSearch Epoch[3]: Evaluating trial minibatchSize=64 (search range: 64..128)...
MPI Rank 1: minibatchiterator: epoch 2: frames [163840..245760] (first utterance at frame 163840), data subset 1 of 2, with 1 datapasses
MPI Rank 1: 
MPI Rank 1: 12/09/2017 11:42:50: Starting minibatch loop, DataParallelSGD training (myRank = 1, numNodes = 2, numGradientBits = 2), distributed reading is ENABLED.
MPI Rank 1: 12/09/2017 11:42:50:   BaseAdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[   1-  10, 0.78%]: CrossEntropyWithSoftmax = 1.47560749 * 640; EvalClassificationError = 0.43906250 * 640; time = 0.0525s; samplesPerSecond = 12197.6
MPI Rank 1: 12/09/2017 11:42:50:   BaseAdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  11-  20, 1.56%]: CrossEntropyWithSoftmax = 1.65277581 * 640; EvalClassificationError = 0.49843750 * 640; time = 0.0530s; samplesPerSecond = 12084.5
MPI Rank 1: 12/09/2017 11:42:50:   BaseAdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  21-  30, 2.34%]: CrossEntropyWithSoftmax = 1.47151219 * 640; EvalClassificationError = 0.40781250 * 640; time = 0.0527s; samplesPerSecond = 12142.4
MPI Rank 1: 12/09/2017 11:42:50:   BaseAdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  31-  40, 3.12%]: CrossEntropyWithSoftmax = 1.59771427 * 640; EvalClassificationError = 0.47500000 * 640; time = 0.0532s; samplesPerSecond = 12029.6
MPI Rank 1: 12/09/2017 11:42:50:   BaseAdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  41-  50, 3.91%]: CrossEntropyWithSoftmax = 1.52571929 * 640; EvalClassificationError = 0.44531250 * 640; time = 0.0525s; samplesPerSecond = 12181.0
MPI Rank 1: 12/09/2017 11:42:50:   BaseAdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  51-  60, 4.69%]: CrossEntropyWithSoftmax = 1.62427027 * 640; EvalClassificationError = 0.44843750 * 640; time = 0.0526s; samplesPerSecond = 12156.6
MPI Rank 1: 12/09/2017 11:42:50:   BaseAdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  61-  70, 5.47%]: CrossEntropyWithSoftmax = 1.59867341 * 640; EvalClassificationError = 0.46406250 * 640; time = 0.0527s; samplesPerSecond = 12148.4
MPI Rank 1: 12/09/2017 11:42:50:   BaseAdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  71-  80, 6.25%]: CrossEntropyWithSoftmax = 1.56264480 * 640; EvalClassificationError = 0.44375000 * 640; time = 0.0526s; samplesPerSecond = 12174.2
MPI Rank 1: 12/09/2017 11:42:51:   BaseAdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  81-  90, 7.03%]: CrossEntropyWithSoftmax = 1.60800660 * 640; EvalClassificationError = 0.46875000 * 640; time = 0.0533s; samplesPerSecond = 12008.8
MPI Rank 1: 12/09/2017 11:42:51:   BaseAdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  91- 100, 7.81%]: CrossEntropyWithSoftmax = 1.68074925 * 640; EvalClassificationError = 0.50000000 * 640; time = 0.0535s; samplesPerSecond = 11955.4
MPI Rank 1: 12/09/2017 11:42:51:   BaseAdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[ 101- 110, 8.59%]: CrossEntropyWithSoftmax = 1.56472610 * 640; EvalClassificationError = 0.45781250 * 640; time = 0.0536s; samplesPerSecond = 11936.6
MPI Rank 1: 12/09/2017 11:42:51:   BaseAdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[ 111- 120, 9.38%]: CrossEntropyWithSoftmax = 1.66516765 * 640; EvalClassificationError = 0.47968750 * 640; time = 0.0526s; samplesPerSecond = 12169.9
MPI Rank 1: 12/09/2017 11:42:51:   BaseAdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[ 121- 130, 10.16%]: CrossEntropyWithSoftmax = 1.57016286 * 640; EvalClassificationError = 0.46093750 * 640; time = 0.0526s; samplesPerSecond = 12167.1
MPI Rank 1: 12/09/2017 11:42:51:   BaseAdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[ 131- 140, 10.94%]: CrossEntropyWithSoftmax = 1.45411407 * 640; EvalClassificationError = 0.39375000 * 640; time = 0.0535s; samplesPerSecond = 11961.4
MPI Rank 1: 12/09/2017 11:42:51:   BaseAdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[ 141- 150, 11.72%]: CrossEntropyWithSoftmax = 1.55003068 * 640; EvalClassificationError = 0.41718750 * 640; time = 0.0529s; samplesPerSecond = 12095.8
MPI Rank 1: 12/09/2017 11:42:51:   BaseAdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[ 151- 160, 12.50%]: CrossEntropyWithSoftmax = 1.58598391 * 640; EvalClassificationError = 0.47031250 * 640; time = 0.0526s; samplesPerSecond = 12167.9
MPI Rank 1: 12/09/2017 11:42:51:  Finished Mini-Epoch[3]: CrossEntropyWithSoftmax = 1.57441847 * 10304; EvalClassificationError = 0.45477484 * 10304; learningRatePerSample = 0.001953125; minibatchSize = 64
MPI Rank 1: ValidateSubNetwork: InvStdOfFeatures InvStdDev operation changed, from [363 x 1] to [363].ValidateSubNetwork: MeanOfFeatures Mean operation changed, from [363 x 1] to [363].ValidateSubNetwork: Prior Mean operation changed, from [132 x 1] to [132].12/09/2017 11:42:51:  AdaptiveMinibatchSearch Epoch[3]: Computed baseCriterion 1.57441847 for minibatchSize=64
MPI Rank 1: 12/09/2017 11:42:51:  AdaptiveMinibatchSearch Epoch[3]: Evaluating trial minibatchSize=64 (search range: 64..128)...
MPI Rank 1: minibatchiterator: epoch 2: frames [163840..245760] (first utterance at frame 163840), data subset 1 of 2, with 1 datapasses
MPI Rank 1: 
MPI Rank 1: 12/09/2017 11:42:51: Starting minibatch loop, DataParallelSGD training (myRank = 1, numNodes = 2, numGradientBits = 2), distributed reading is ENABLED.
MPI Rank 1: 12/09/2017 11:42:51:   AdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[   1-  10, 0.78%]: CrossEntropyWithSoftmax = 1.47560749 * 640; EvalClassificationError = 0.43906250 * 640; time = 0.0524s; samplesPerSecond = 12217.1
MPI Rank 1: 12/09/2017 11:42:51:   AdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  11-  20, 1.56%]: CrossEntropyWithSoftmax = 1.65277581 * 640; EvalClassificationError = 0.49843750 * 640; time = 0.0530s; samplesPerSecond = 12083.7
MPI Rank 1: 12/09/2017 11:42:51:   AdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  21-  30, 2.34%]: CrossEntropyWithSoftmax = 1.47151219 * 640; EvalClassificationError = 0.40781250 * 640; time = 0.0529s; samplesPerSecond = 12094.5
MPI Rank 1: 12/09/2017 11:42:51:   AdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  31-  40, 3.12%]: CrossEntropyWithSoftmax = 1.59771427 * 640; EvalClassificationError = 0.47500000 * 640; time = 0.0531s; samplesPerSecond = 12061.3
MPI Rank 1: 12/09/2017 11:42:51:   AdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  41-  50, 3.91%]: CrossEntropyWithSoftmax = 1.52571929 * 640; EvalClassificationError = 0.44531250 * 640; time = 0.0526s; samplesPerSecond = 12167.6
MPI Rank 1: 12/09/2017 11:42:51:   AdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  51-  60, 4.69%]: CrossEntropyWithSoftmax = 1.62427027 * 640; EvalClassificationError = 0.44843750 * 640; time = 0.0527s; samplesPerSecond = 12151.1
MPI Rank 1: 12/09/2017 11:42:51:   AdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  61-  70, 5.47%]: CrossEntropyWithSoftmax = 1.59867341 * 640; EvalClassificationError = 0.46406250 * 640; time = 0.0526s; samplesPerSecond = 12159.1
MPI Rank 1: 12/09/2017 11:42:51:   AdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  71-  80, 6.25%]: CrossEntropyWithSoftmax = 1.56264480 * 640; EvalClassificationError = 0.44375000 * 640; time = 0.0524s; samplesPerSecond = 12215.9
MPI Rank 1: 12/09/2017 11:42:51:   AdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  81-  90, 7.03%]: CrossEntropyWithSoftmax = 1.60800660 * 640; EvalClassificationError = 0.46875000 * 640; time = 0.0529s; samplesPerSecond = 12091.9
MPI Rank 1: 12/09/2017 11:42:51:   AdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  91- 100, 7.81%]: CrossEntropyWithSoftmax = 1.68074925 * 640; EvalClassificationError = 0.50000000 * 640; time = 0.0525s; samplesPerSecond = 12192.8
MPI Rank 1: 12/09/2017 11:42:52:   AdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[ 101- 110, 8.59%]: CrossEntropyWithSoftmax = 1.56472610 * 640; EvalClassificationError = 0.45781250 * 640; time = 0.0533s; samplesPerSecond = 12012.9
MPI Rank 1: 12/09/2017 11:42:52:   AdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[ 111- 120, 9.38%]: CrossEntropyWithSoftmax = 1.66516765 * 640; EvalClassificationError = 0.47968750 * 640; time = 0.0529s; samplesPerSecond = 12109.4
MPI Rank 1: 12/09/2017 11:42:52:   AdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[ 121- 130, 10.16%]: CrossEntropyWithSoftmax = 1.57016286 * 640; EvalClassificationError = 0.46093750 * 640; time = 0.0524s; samplesPerSecond = 12214.8
MPI Rank 1: 12/09/2017 11:42:52:   AdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[ 131- 140, 10.94%]: CrossEntropyWithSoftmax = 1.45411407 * 640; EvalClassificationError = 0.39375000 * 640; time = 0.0531s; samplesPerSecond = 12042.2
MPI Rank 1: 12/09/2017 11:42:52:   AdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[ 141- 150, 11.72%]: CrossEntropyWithSoftmax = 1.55003068 * 640; EvalClassificationError = 0.41718750 * 640; time = 0.0528s; samplesPerSecond = 12114.9
MPI Rank 1: 12/09/2017 11:42:52:   AdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[ 151- 160, 12.50%]: CrossEntropyWithSoftmax = 1.58598391 * 640; EvalClassificationError = 0.47031250 * 640; time = 0.0527s; samplesPerSecond = 12148.7
MPI Rank 1: 12/09/2017 11:42:52:  Finished Mini-Epoch[3]: CrossEntropyWithSoftmax = 1.57441847 * 10304; EvalClassificationError = 0.45477484 * 10304; learningRatePerSample = 0.001953125; minibatchSize = 64
MPI Rank 1: ValidateSubNetwork: InvStdOfFeatures InvStdDev operation changed, from [363 x 1] to [363].ValidateSubNetwork: MeanOfFeatures Mean operation changed, from [363 x 1] to [363].ValidateSubNetwork: Prior Mean operation changed, from [132 x 1] to [132].12/09/2017 11:42:52:  AdaptiveMinibatchSearch Epoch[3]: Keep searching... epochCriterion = 1.57441847 vs. baseCriterion = 1.57441847
MPI Rank 1: 12/09/2017 11:42:52:  AdaptiveMinibatchSearch Epoch[3]: Evaluating trial minibatchSize=128 (search range: 64..128)...
MPI Rank 1: minibatchiterator: epoch 2: frames [163840..245760] (first utterance at frame 163840), data subset 1 of 2, with 1 datapasses
MPI Rank 1: 
MPI Rank 1: 12/09/2017 11:42:52: Starting minibatch loop, DataParallelSGD training (myRank = 1, numNodes = 2, numGradientBits = 2), distributed reading is ENABLED.
MPI Rank 1: 12/09/2017 11:42:52:   AdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[   1-  10, 1.56%]: CrossEntropyWithSoftmax = 1.56331488 * 1280; EvalClassificationError = 0.46718750 * 1280; time = 0.0697s; samplesPerSecond = 18352.2
MPI Rank 1: 12/09/2017 11:42:52:   AdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  11-  20, 3.12%]: CrossEntropyWithSoftmax = 1.53859310 * 1280; EvalClassificationError = 0.45312500 * 1280; time = 0.0696s; samplesPerSecond = 18384.9
MPI Rank 1: 12/09/2017 11:42:52:   AdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  21-  30, 4.69%]: CrossEntropyWithSoftmax = 1.58468572 * 1280; EvalClassificationError = 0.44687500 * 1280; time = 0.0701s; samplesPerSecond = 18249.0
MPI Rank 1: 12/09/2017 11:42:52:   AdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  31-  40, 6.25%]: CrossEntropyWithSoftmax = 1.58954713 * 1280; EvalClassificationError = 0.46484375 * 1280; time = 0.0690s; samplesPerSecond = 18543.9
MPI Rank 1: 12/09/2017 11:42:52:   AdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  41-  50, 7.81%]: CrossEntropyWithSoftmax = 1.66375629 * 1280; EvalClassificationError = 0.48593750 * 1280; time = 0.0699s; samplesPerSecond = 18298.9
MPI Rank 1: 12/09/2017 11:42:52:   AdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  51-  60, 9.38%]: CrossEntropyWithSoftmax = 1.64607406 * 1280; EvalClassificationError = 0.47578125 * 1280; time = 0.0695s; samplesPerSecond = 18408.4
MPI Rank 1: 12/09/2017 11:42:52:   AdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  61-  70, 10.94%]: CrossEntropyWithSoftmax = 1.59827039 * 1280; EvalClassificationError = 0.44609375 * 1280; time = 0.0697s; samplesPerSecond = 18371.9
MPI Rank 1: 12/09/2017 11:42:52:   AdaptiveMinibatchSearch: Epoch[ 3 of 3]-Minibatch[  71-  80, 12.50%]: CrossEntropyWithSoftmax = 1.65403307 * 1280; EvalClassificationError = 0.46718750 * 1280; time = 0.0692s; samplesPerSecond = 18504.1
MPI Rank 1: 12/09/2017 11:42:52:  Finished Mini-Epoch[3]: CrossEntropyWithSoftmax = 1.60615351 * 10368; EvalClassificationError = 0.46412037 * 10368; learningRatePerSample = 0.001953125; minibatchSize = 128
MPI Rank 1: ValidateSubNetwork: InvStdOfFeatures InvStdDev operation changed, from [363 x 1] to [363].ValidateSubNetwork: MeanOfFeatures Mean operation changed, from [363 x 1] to [363].ValidateSubNetwork: Prior Mean operation changed, from [132 x 1] to [132].12/09/2017 11:42:52:  AdaptiveMinibatchSearch Epoch[3]: Search successful. New minibatchSize is 64. epochCriterion = 1.57441847 vs baseCriterion = 1.57441847
MPI Rank 1: 
MPI Rank 1: 12/09/2017 11:42:52: Starting Epoch 3: learning rate per sample = 0.001953  effective momentum = 0.939413  momentum as time constant = 1024.0 samples
MPI Rank 1: minibatchiterator: epoch 2: frames [163840..245760] (first utterance at frame 163840), data subset 1 of 2, with 1 datapasses
MPI Rank 1: 
MPI Rank 1: 12/09/2017 11:42:52: Starting minibatch loop, DataParallelSGD training (myRank = 1, numNodes = 2, numGradientBits = 2), distributed reading is ENABLED.
MPI Rank 1: 12/09/2017 11:42:53:  Epoch[ 3 of 3]-Minibatch[   1-  10, 0.78%]: CrossEntropyWithSoftmax = 1.47560749 * 640; EvalClassificationError = 0.43906250 * 640; time = 0.0524s; samplesPerSecond = 12206.8
MPI Rank 1: 12/09/2017 11:42:53:  Epoch[ 3 of 3]-Minibatch[  11-  20, 1.56%]: CrossEntropyWithSoftmax = 1.65277581 * 640; EvalClassificationError = 0.49843750 * 640; time = 0.0530s; samplesPerSecond = 12064.8
MPI Rank 1: 12/09/2017 11:42:53:  Epoch[ 3 of 3]-Minibatch[  21-  30, 2.34%]: CrossEntropyWithSoftmax = 1.47151219 * 640; EvalClassificationError = 0.40781250 * 640; time = 0.0538s; samplesPerSecond = 11895.3
MPI Rank 1: 12/09/2017 11:42:53:  Epoch[ 3 of 3]-Minibatch[  31-  40, 3.12%]: CrossEntropyWithSoftmax = 1.59771427 * 640; EvalClassificationError = 0.47500000 * 640; time = 0.0532s; samplesPerSecond = 12033.9
MPI Rank 1: 12/09/2017 11:42:53:  Epoch[ 3 of 3]-Minibatch[  41-  50, 3.91%]: CrossEntropyWithSoftmax = 1.52571929 * 640; EvalClassificationError = 0.44531250 * 640; time = 0.0526s; samplesPerSecond = 12168.1
MPI Rank 1: 12/09/2017 11:42:53:  Epoch[ 3 of 3]-Minibatch[  51-  60, 4.69%]: CrossEntropyWithSoftmax = 1.62427027 * 640; EvalClassificationError = 0.44843750 * 640; time = 0.0525s; samplesPerSecond = 12179.9
MPI Rank 1: 12/09/2017 11:42:53:  Epoch[ 3 of 3]-Minibatch[  61-  70, 5.47%]: CrossEntropyWithSoftmax = 1.59867341 * 640; EvalClassificationError = 0.46406250 * 640; time = 0.0526s; samplesPerSecond = 12171.1
MPI Rank 1: 12/09/2017 11:42:53:  Epoch[ 3 of 3]-Minibatch[  71-  80, 6.25%]: CrossEntropyWithSoftmax = 1.56264480 * 640; EvalClassificationError = 0.44375000 * 640; time = 0.0530s; samplesPerSecond = 12079.3
MPI Rank 1: 12/09/2017 11:42:53:  Epoch[ 3 of 3]-Minibatch[  81-  90, 7.03%]: CrossEntropyWithSoftmax = 1.60800660 * 640; EvalClassificationError = 0.46875000 * 640; time = 0.0528s; samplesPerSecond = 12125.9
MPI Rank 1: 12/09/2017 11:42:53:  Epoch[ 3 of 3]-Minibatch[  91- 100, 7.81%]: CrossEntropyWithSoftmax = 1.68074925 * 640; EvalClassificationError = 0.50000000 * 640; time = 0.0525s; samplesPerSecond = 12201.0
MPI Rank 1: 12/09/2017 11:42:53:  Epoch[ 3 of 3]-Minibatch[ 101- 110, 8.59%]: CrossEntropyWithSoftmax = 1.56472610 * 640; EvalClassificationError = 0.45781250 * 640; time = 0.0534s; samplesPerSecond = 11980.1
MPI Rank 1: 12/09/2017 11:42:53:  Epoch[ 3 of 3]-Minibatch[ 111- 120, 9.38%]: CrossEntropyWithSoftmax = 1.66516765 * 640; EvalClassificationError = 0.47968750 * 640; time = 0.0529s; samplesPerSecond = 12106.6
MPI Rank 1: 12/09/2017 11:42:53:  Epoch[ 3 of 3]-Minibatch[ 121- 130, 10.16%]: CrossEntropyWithSoftmax = 1.57016286 * 640; EvalClassificationError = 0.46093750 * 640; time = 0.0525s; samplesPerSecond = 12194.3
MPI Rank 1: 12/09/2017 11:42:53:  Epoch[ 3 of 3]-Minibatch[ 131- 140, 10.94%]: CrossEntropyWithSoftmax = 1.45411407 * 640; EvalClassificationError = 0.39375000 * 640; time = 0.0531s; samplesPerSecond = 12063.2
MPI Rank 1: 12/09/2017 11:42:53:  Epoch[ 3 of 3]-Minibatch[ 141- 150, 11.72%]: CrossEntropyWithSoftmax = 1.55003068 * 640; EvalClassificationError = 0.41718750 * 640; time = 0.0528s; samplesPerSecond = 12122.1
MPI Rank 1: 12/09/2017 11:42:53:  Epoch[ 3 of 3]-Minibatch[ 151- 160, 12.50%]: CrossEntropyWithSoftmax = 1.58598391 * 640; EvalClassificationError = 0.47031250 * 640; time = 0.0528s; samplesPerSecond = 12127.0
MPI Rank 1: 12/09/2017 11:42:53:  Epoch[ 3 of 3]-Minibatch[ 161- 170, 13.28%]: CrossEntropyWithSoftmax = 1.58500389 * 640; EvalClassificationError = 0.48125000 * 640; time = 0.0530s; samplesPerSecond = 12064.8
MPI Rank 1: 12/09/2017 11:42:53:  Epoch[ 3 of 3]-Minibatch[ 171- 180, 14.06%]: CrossEntropyWithSoftmax = 1.50995410 * 640; EvalClassificationError = 0.44531250 * 640; time = 0.0525s; samplesPerSecond = 12195.8
MPI Rank 1: 12/09/2017 11:42:53:  Epoch[ 3 of 3]-Minibatch[ 181- 190, 14.84%]: CrossEntropyWithSoftmax = 1.60087246 * 640; EvalClassificationError = 0.47968750 * 640; time = 0.0529s; samplesPerSecond = 12094.2
MPI Rank 1: 12/09/2017 11:42:54:  Epoch[ 3 of 3]-Minibatch[ 191- 200, 15.62%]: CrossEntropyWithSoftmax = 1.52570395 * 640; EvalClassificationError = 0.45781250 * 640; time = 0.0527s; samplesPerSecond = 12152.2
MPI Rank 1: 12/09/2017 11:42:54:  Epoch[ 3 of 3]-Minibatch[ 201- 210, 16.41%]: CrossEntropyWithSoftmax = 1.54120691 * 640; EvalClassificationError = 0.46718750 * 640; time = 0.0531s; samplesPerSecond = 12060.5
MPI Rank 1: 12/09/2017 11:42:54:  Epoch[ 3 of 3]-Minibatch[ 211- 220, 17.19%]: CrossEntropyWithSoftmax = 1.54592362 * 640; EvalClassificationError = 0.45937500 * 640; time = 0.0528s; samplesPerSecond = 12121.3
MPI Rank 1: 12/09/2017 11:42:54:  Epoch[ 3 of 3]-Minibatch[ 221- 230, 17.97%]: CrossEntropyWithSoftmax = 1.47655899 * 640; EvalClassificationError = 0.42343750 * 640; time = 0.0527s; samplesPerSecond = 12133.0
MPI Rank 1: 12/09/2017 11:42:54:  Epoch[ 3 of 3]-Minibatch[ 231- 240, 18.75%]: CrossEntropyWithSoftmax = 1.56637265 * 640; EvalClassificationError = 0.46562500 * 640; time = 0.0531s; samplesPerSecond = 12043.3
MPI Rank 1: 12/09/2017 11:42:54:  Epoch[ 3 of 3]-Minibatch[ 241- 250, 19.53%]: CrossEntropyWithSoftmax = 1.47762918 * 640; EvalClassificationError = 0.42968750 * 640; time = 0.0525s; samplesPerSecond = 12200.2
MPI Rank 1: 12/09/2017 11:42:54:  Epoch[ 3 of 3]-Minibatch[ 251- 260, 20.31%]: CrossEntropyWithSoftmax = 1.60975712 * 640; EvalClassificationError = 0.45625000 * 640; time = 0.0531s; samplesPerSecond = 12056.6
MPI Rank 1: 12/09/2017 11:42:54:  Epoch[ 3 of 3]-Minibatch[ 261- 270, 21.09%]: CrossEntropyWithSoftmax = 1.62304628 * 640; EvalClassificationError = 0.46718750 * 640; time = 0.0529s; samplesPerSecond = 12100.7
MPI Rank 1: 12/09/2017 11:42:54:  Epoch[ 3 of 3]-Minibatch[ 271- 280, 21.88%]: CrossEntropyWithSoftmax = 1.44871642 * 640; EvalClassificationError = 0.42343750 * 640; time = 0.0534s; samplesPerSecond = 11978.5
MPI Rank 1: 12/09/2017 11:42:54:  Epoch[ 3 of 3]-Minibatch[ 281- 290, 22.66%]: CrossEntropyWithSoftmax = 1.59981719 * 640; EvalClassificationError = 0.48906250 * 640; time = 0.0529s; samplesPerSecond = 12090.5
MPI Rank 1: 12/09/2017 11:42:54:  Epoch[ 3 of 3]-Minibatch[ 291- 300, 23.44%]: CrossEntropyWithSoftmax = 1.52971094 * 640; EvalClassificationError = 0.45312500 * 640; time = 0.0525s; samplesPerSecond = 12185.1
MPI Rank 1: 12/09/2017 11:42:54:  Epoch[ 3 of 3]-Minibatch[ 301- 310, 24.22%]: CrossEntropyWithSoftmax = 1.50382695 * 640; EvalClassificationError = 0.42031250 * 640; time = 0.0527s; samplesPerSecond = 12148.4
MPI Rank 1: 12/09/2017 11:42:54:  Epoch[ 3 of 3]-Minibatch[ 311- 320, 25.00%]: CrossEntropyWithSoftmax = 1.53539699 * 640; EvalClassificationError = 0.45000000 * 640; time = 0.0528s; samplesPerSecond = 12124.2
MPI Rank 1: 12/09/2017 11:42:54:  Epoch[ 3 of 3]-Minibatch[ 321- 330, 25.78%]: CrossEntropyWithSoftmax = 1.50756866 * 640; EvalClassificationError = 0.44218750 * 640; time = 0.0526s; samplesPerSecond = 12156.2
MPI Rank 1: 12/09/2017 11:42:54:  Epoch[ 3 of 3]-Minibatch[ 331- 340, 26.56%]: CrossEntropyWithSoftmax = 1.58865587 * 640; EvalClassificationError = 0.46093750 * 640; time = 0.0524s; samplesPerSecond = 12214.3
MPI Rank 1: 12/09/2017 11:42:54:  Epoch[ 3 of 3]-Minibatch[ 341- 350, 27.34%]: CrossEntropyWithSoftmax = 1.47776139 * 640; EvalClassificationError = 0.42968750 * 640; time = 0.0528s; samplesPerSecond = 12131.2
MPI Rank 1: 12/09/2017 11:42:54:  Epoch[ 3 of 3]-Minibatch[ 351- 360, 28.12%]: CrossEntropyWithSoftmax = 1.59733313 * 640; EvalClassificationError = 0.45625000 * 640; time = 0.0530s; samplesPerSecond = 12082.1
MPI Rank 1: 12/09/2017 11:42:54:  Epoch[ 3 of 3]-Minibatch[ 361- 370, 28.91%]: CrossEntropyWithSoftmax = 1.51146583 * 640; EvalClassificationError = 0.43906250 * 640; time = 0.0526s; samplesPerSecond = 12160.7
MPI Rank 1: 12/09/2017 11:42:54:  Epoch[ 3 of 3]-Minibatch[ 371- 380, 29.69%]: CrossEntropyWithSoftmax = 1.52538916 * 640; EvalClassificationError = 0.46406250 * 640; time = 0.0528s; samplesPerSecond = 12119.9
MPI Rank 1: 12/09/2017 11:42:55:  Epoch[ 3 of 3]-Minibatch[ 381- 390, 30.47%]: CrossEntropyWithSoftmax = 1.59757744 * 640; EvalClassificationError = 0.44687500 * 640; time = 0.0523s; samplesPerSecond = 12237.3
MPI Rank 1: 12/09/2017 11:42:55:  Epoch[ 3 of 3]-Minibatch[ 391- 400, 31.25%]: CrossEntropyWithSoftmax = 1.51504740 * 640; EvalClassificationError = 0.41093750 * 640; time = 0.0526s; samplesPerSecond = 12168.3
MPI Rank 1: 12/09/2017 11:42:55:  Epoch[ 3 of 3]-Minibatch[ 401- 410, 32.03%]: CrossEntropyWithSoftmax = 1.47928144 * 640; EvalClassificationError = 0.42656250 * 640; time = 0.0524s; samplesPerSecond = 12225.3
MPI Rank 1: 12/09/2017 11:42:55:  Epoch[ 3 of 3]-Minibatch[ 411- 420, 32.81%]: CrossEntropyWithSoftmax = 1.60885547 * 640; EvalClassificationError = 0.46250000 * 640; time = 0.0529s; samplesPerSecond = 12089.4
MPI Rank 1: 12/09/2017 11:42:55:  Epoch[ 3 of 3]-Minibatch[ 421- 430, 33.59%]: CrossEntropyWithSoftmax = 1.63616297 * 640; EvalClassificationError = 0.48281250 * 640; time = 0.0526s; samplesPerSecond = 12166.0
MPI Rank 1: 12/09/2017 11:42:55:  Epoch[ 3 of 3]-Minibatch[ 431- 440, 34.38%]: CrossEntropyWithSoftmax = 1.48876564 * 640; EvalClassificationError = 0.44218750 * 640; time = 0.0528s; samplesPerSecond = 12110.6
MPI Rank 1: 12/09/2017 11:42:55:  Epoch[ 3 of 3]-Minibatch[ 441- 450, 35.16%]: CrossEntropyWithSoftmax = 1.48175017 * 640; EvalClassificationError = 0.44218750 * 640; time = 0.0527s; samplesPerSecond = 12147.7
MPI Rank 1: 12/09/2017 11:42:55:  Epoch[ 3 of 3]-Minibatch[ 451- 460, 35.94%]: CrossEntropyWithSoftmax = 1.65849137 * 640; EvalClassificationError = 0.48906250 * 640; time = 0.0532s; samplesPerSecond = 12032.9
MPI Rank 1: 12/09/2017 11:42:55:  Epoch[ 3 of 3]-Minibatch[ 461- 470, 36.72%]: CrossEntropyWithSoftmax = 1.46101452 * 640; EvalClassificationError = 0.42656250 * 640; time = 0.0531s; samplesPerSecond = 12058.0
MPI Rank 1: 12/09/2017 11:42:55:  Epoch[ 3 of 3]-Minibatch[ 471- 480, 37.50%]: CrossEntropyWithSoftmax = 1.55012640 * 640; EvalClassificationError = 0.45000000 * 640; time = 0.0531s; samplesPerSecond = 12061.6
MPI Rank 1: 12/09/2017 11:42:55:  Epoch[ 3 of 3]-Minibatch[ 481- 490, 38.28%]: CrossEntropyWithSoftmax = 1.43306114 * 640; EvalClassificationError = 0.41718750 * 640; time = 0.0529s; samplesPerSecond = 12107.1
MPI Rank 1: 12/09/2017 11:42:55:  Epoch[ 3 of 3]-Minibatch[ 491- 500, 39.06%]: CrossEntropyWithSoftmax = 1.56409192 * 640; EvalClassificationError = 0.44531250 * 640; time = 0.0525s; samplesPerSecond = 12185.6
MPI Rank 1: 12/09/2017 11:42:55:  Epoch[ 3 of 3]-Minibatch[ 501- 510, 39.84%]: CrossEntropyWithSoftmax = 1.52598529 * 640; EvalClassificationError = 0.44531250 * 640; time = 0.0529s; samplesPerSecond = 12090.0
MPI Rank 1: 12/09/2017 11:42:55:  Epoch[ 3 of 3]-Minibatch[ 511- 520, 40.62%]: CrossEntropyWithSoftmax = 1.29943175 * 640; EvalClassificationError = 0.38125000 * 640; time = 0.0529s; samplesPerSecond = 12098.4
MPI Rank 1: 12/09/2017 11:42:55:  Epoch[ 3 of 3]-Minibatch[ 521- 530, 41.41%]: CrossEntropyWithSoftmax = 1.49960624 * 640; EvalClassificationError = 0.46718750 * 640; time = 0.0531s; samplesPerSecond = 12059.2
MPI Rank 1: 12/09/2017 11:42:55:  Epoch[ 3 of 3]-Minibatch[ 531- 540, 42.19%]: CrossEntropyWithSoftmax = 1.59282074 * 640; EvalClassificationError = 0.46406250 * 640; time = 0.0530s; samplesPerSecond = 12082.3
MPI Rank 1: 12/09/2017 11:42:55:  Epoch[ 3 of 3]-Minibatch[ 541- 550, 42.97%]: CrossEntropyWithSoftmax = 1.38129588 * 640; EvalClassificationError = 0.40781250 * 640; time = 0.0531s; samplesPerSecond = 12056.1
MPI Rank 1: 12/09/2017 11:42:55:  Epoch[ 3 of 3]-Minibatch[ 551- 560, 43.75%]: CrossEntropyWithSoftmax = 1.55171228 * 640; EvalClassificationError = 0.44843750 * 640; time = 0.0528s; samplesPerSecond = 12115.2
MPI Rank 1: 12/09/2017 11:42:55:  Epoch[ 3 of 3]-Minibatch[ 561- 570, 44.53%]: CrossEntropyWithSoftmax = 1.47382024 * 640; EvalClassificationError = 0.44687500 * 640; time = 0.0529s; samplesPerSecond = 12093.7
MPI Rank 1: 12/09/2017 11:42:56:  Epoch[ 3 of 3]-Minibatch[ 571- 580, 45.31%]: CrossEntropyWithSoftmax = 1.57421313 * 640; EvalClassificationError = 0.46250000 * 640; time = 0.0526s; samplesPerSecond = 12170.1
MPI Rank 1: 12/09/2017 11:42:56:  Epoch[ 3 of 3]-Minibatch[ 581- 590, 46.09%]: CrossEntropyWithSoftmax = 1.43950626 * 640; EvalClassificationError = 0.42343750 * 640; time = 0.0530s; samplesPerSecond = 12070.4
MPI Rank 1: 12/09/2017 11:42:56:  Epoch[ 3 of 3]-Minibatch[ 591- 600, 46.88%]: CrossEntropyWithSoftmax = 1.52461210 * 640; EvalClassificationError = 0.45468750 * 640; time = 0.0529s; samplesPerSecond = 12091.6
MPI Rank 1: 12/09/2017 11:42:56:  Epoch[ 3 of 3]-Minibatch[ 601- 610, 47.66%]: CrossEntropyWithSoftmax = 1.42487734 * 640; EvalClassificationError = 0.42343750 * 640; time = 0.0528s; samplesPerSecond = 12116.2
MPI Rank 1: 12/09/2017 11:42:56:  Epoch[ 3 of 3]-Minibatch[ 611- 620, 48.44%]: CrossEntropyWithSoftmax = 1.46388013 * 640; EvalClassificationError = 0.43437500 * 640; time = 0.0524s; samplesPerSecond = 12207.0
MPI Rank 1: 12/09/2017 11:42:56:  Epoch[ 3 of 3]-Minibatch[ 621- 630, 49.22%]: CrossEntropyWithSoftmax = 1.42437471 * 640; EvalClassificationError = 0.42812500 * 640; time = 0.0524s; samplesPerSecond = 12203.7
MPI Rank 1: 12/09/2017 11:42:56:  Epoch[ 3 of 3]-Minibatch[ 631- 640, 50.00%]: CrossEntropyWithSoftmax = 1.47678406 * 640; EvalClassificationError = 0.43437500 * 640; time = 0.0529s; samplesPerSecond = 12088.4
MPI Rank 1: 12/09/2017 11:42:56:  Epoch[ 3 of 3]-Minibatch[ 641- 650, 50.78%]: CrossEntropyWithSoftmax = 1.53488713 * 640; EvalClassificationError = 0.42343750 * 640; time = 0.0535s; samplesPerSecond = 11960.8
MPI Rank 1: 12/09/2017 11:42:56:  Epoch[ 3 of 3]-Minibatch[ 651- 660, 51.56%]: CrossEntropyWithSoftmax = 1.58766695 * 640; EvalClassificationError = 0.46718750 * 640; time = 0.0532s; samplesPerSecond = 12032.5
MPI Rank 1: 12/09/2017 11:42:56:  Epoch[ 3 of 3]-Minibatch[ 661- 670, 52.34%]: CrossEntropyWithSoftmax = 1.50941338 * 640; EvalClassificationError = 0.44531250 * 640; time = 0.0525s; samplesPerSecond = 12187.3
MPI Rank 1: 12/09/2017 11:42:56:  Epoch[ 3 of 3]-Minibatch[ 671- 680, 53.12%]: CrossEntropyWithSoftmax = 1.44956445 * 640; EvalClassificationError = 0.41250000 * 640; time = 0.0528s; samplesPerSecond = 12110.0
MPI Rank 1: 12/09/2017 11:42:56:  Epoch[ 3 of 3]-Minibatch[ 681- 690, 53.91%]: CrossEntropyWithSoftmax = 1.46774913 * 640; EvalClassificationError = 0.45937500 * 640; time = 0.0525s; samplesPerSecond = 12191.7
MPI Rank 1: 12/09/2017 11:42:56:  Epoch[ 3 of 3]-Minibatch[ 691- 700, 54.69%]: CrossEntropyWithSoftmax = 1.57015313 * 640; EvalClassificationError = 0.45000000 * 640; time = 0.0523s; samplesPerSecond = 12225.7
MPI Rank 1: 12/09/2017 11:42:56:  Epoch[ 3 of 3]-Minibatch[ 701- 710, 55.47%]: CrossEntropyWithSoftmax = 1.42095671 * 640; EvalClassificationError = 0.40000000 * 640; time = 0.0524s; samplesPerSecond = 12221.5
MPI Rank 1: 12/09/2017 11:42:56:  Epoch[ 3 of 3]-Minibatch[ 711- 720, 56.25%]: CrossEntropyWithSoftmax = 1.43819924 * 640; EvalClassificationError = 0.43750000 * 640; time = 0.0526s; samplesPerSecond = 12174.8
MPI Rank 1: 12/09/2017 11:42:56:  Epoch[ 3 of 3]-Minibatch[ 721- 730, 57.03%]: CrossEntropyWithSoftmax = 1.43732853 * 640; EvalClassificationError = 0.41250000 * 640; time = 0.0530s; samplesPerSecond = 12086.3
MPI Rank 1: 12/09/2017 11:42:56:  Epoch[ 3 of 3]-Minibatch[ 731- 740, 57.81%]: CrossEntropyWithSoftmax = 1.42679702 * 640; EvalClassificationError = 0.42968750 * 640; time = 0.0532s; samplesPerSecond = 12035.4
MPI Rank 1: 12/09/2017 11:42:56:  Epoch[ 3 of 3]-Minibatch[ 741- 750, 58.59%]: CrossEntropyWithSoftmax = 1.46551969 * 640; EvalClassificationError = 0.43125000 * 640; time = 0.0524s; samplesPerSecond = 12219.9
MPI Rank 1: 12/09/2017 11:42:56:  Epoch[ 3 of 3]-Minibatch[ 751- 760, 59.38%]: CrossEntropyWithSoftmax = 1.49355950 * 640; EvalClassificationError = 0.44218750 * 640; time = 0.0529s; samplesPerSecond = 12096.2
MPI Rank 1: 12/09/2017 11:42:57:  Epoch[ 3 of 3]-Minibatch[ 761- 770, 60.16%]: CrossEntropyWithSoftmax = 1.33640412 * 640; EvalClassificationError = 0.40781250 * 640; time = 0.0526s; samplesPerSecond = 12177.3
MPI Rank 1: 12/09/2017 11:42:57:  Epoch[ 3 of 3]-Minibatch[ 771- 780, 60.94%]: CrossEntropyWithSoftmax = 1.45595946 * 640; EvalClassificationError = 0.43750000 * 640; time = 0.0527s; samplesPerSecond = 12142.1
MPI Rank 1: 12/09/2017 11:42:57:  Epoch[ 3 of 3]-Minibatch[ 781- 790, 61.72%]: CrossEntropyWithSoftmax = 1.36981925 * 640; EvalClassificationError = 0.40156250 * 640; time = 0.0528s; samplesPerSecond = 12118.3
MPI Rank 1: 12/09/2017 11:42:57:  Epoch[ 3 of 3]-Minibatch[ 791- 800, 62.50%]: CrossEntropyWithSoftmax = 1.48424307 * 640; EvalClassificationError = 0.45156250 * 640; time = 0.0529s; samplesPerSecond = 12100.8
MPI Rank 1: 12/09/2017 11:42:57:  Epoch[ 3 of 3]-Minibatch[ 801- 810, 63.28%]: CrossEntropyWithSoftmax = 1.34010653 * 640; EvalClassificationError = 0.40312500 * 640; time = 0.0528s; samplesPerSecond = 12116.3
MPI Rank 1: 12/09/2017 11:42:57:  Epoch[ 3 of 3]-Minibatch[ 811- 820, 64.06%]: CrossEntropyWithSoftmax = 1.44154789 * 640; EvalClassificationError = 0.42812500 * 640; time = 0.0528s; samplesPerSecond = 12124.2
MPI Rank 1: 12/09/2017 11:42:57:  Epoch[ 3 of 3]-Minibatch[ 821- 830, 64.84%]: CrossEntropyWithSoftmax = 1.51012621 * 640; EvalClassificationError = 0.42812500 * 640; time = 0.0529s; samplesPerSecond = 12101.5
MPI Rank 1: 12/09/2017 11:42:57:  Epoch[ 3 of 3]-Minibatch[ 831- 840, 65.62%]: CrossEntropyWithSoftmax = 1.49159279 * 640; EvalClassificationError = 0.43750000 * 640; time = 0.0528s; samplesPerSecond = 12126.1
MPI Rank 1: 12/09/2017 11:42:57:  Epoch[ 3 of 3]-Minibatch[ 841- 850, 66.41%]: CrossEntropyWithSoftmax = 1.50971484 * 640; EvalClassificationError = 0.44687500 * 640; time = 0.0527s; samplesPerSecond = 12153.7
MPI Rank 1: 12/09/2017 11:42:57:  Epoch[ 3 of 3]-Minibatch[ 851- 860, 67.19%]: CrossEntropyWithSoftmax = 1.41205238 * 640; EvalClassificationError = 0.40937500 * 640; time = 0.0536s; samplesPerSecond = 11941.3
MPI Rank 1: 12/09/2017 11:42:57:  Epoch[ 3 of 3]-Minibatch[ 861- 870, 67.97%]: CrossEntropyWithSoftmax = 1.50817799 * 640; EvalClassificationError = 0.43281250 * 640; time = 0.0528s; samplesPerSecond = 12119.6
MPI Rank 1: 12/09/2017 11:42:57:  Epoch[ 3 of 3]-Minibatch[ 871- 880, 68.75%]: CrossEntropyWithSoftmax = 1.50565825 * 640; EvalClassificationError = 0.45000000 * 640; time = 0.0525s; samplesPerSecond = 12188.6
MPI Rank 1: 12/09/2017 11:42:57:  Epoch[ 3 of 3]-Minibatch[ 881- 890, 69.53%]: CrossEntropyWithSoftmax = 1.43965419 * 640; EvalClassificationError = 0.41875000 * 640; time = 0.0530s; samplesPerSecond = 12066.2
MPI Rank 1: 12/09/2017 11:42:57:  Epoch[ 3 of 3]-Minibatch[ 891- 900, 70.31%]: CrossEntropyWithSoftmax = 1.51281183 * 640; EvalClassificationError = 0.44843750 * 640; time = 0.0529s; samplesPerSecond = 12103.1
MPI Rank 1: 12/09/2017 11:42:57:  Epoch[ 3 of 3]-Minibatch[ 901- 910, 71.09%]: CrossEntropyWithSoftmax = 1.45543684 * 640; EvalClassificationError = 0.44843750 * 640; time = 0.0533s; samplesPerSecond = 12012.7
MPI Rank 1: 12/09/2017 11:42:57:  Epoch[ 3 of 3]-Minibatch[ 911- 920, 71.88%]: CrossEntropyWithSoftmax = 1.42405299 * 640; EvalClassificationError = 0.40468750 * 640; time = 0.0526s; samplesPerSecond = 12170.9
MPI Rank 1: 12/09/2017 11:42:57:  Epoch[ 3 of 3]-Minibatch[ 921- 930, 72.66%]: CrossEntropyWithSoftmax = 1.36821244 * 640; EvalClassificationError = 0.40156250 * 640; time = 0.0529s; samplesPerSecond = 12105.7
MPI Rank 1: 12/09/2017 11:42:57:  Epoch[ 3 of 3]-Minibatch[ 931- 940, 73.44%]: CrossEntropyWithSoftmax = 1.48320042 * 640; EvalClassificationError = 0.44218750 * 640; time = 0.0526s; samplesPerSecond = 12163.8
MPI Rank 1: 12/09/2017 11:42:57:  Epoch[ 3 of 3]-Minibatch[ 941- 950, 74.22%]: CrossEntropyWithSoftmax = 1.45219275 * 640; EvalClassificationError = 0.41093750 * 640; time = 0.0525s; samplesPerSecond = 12191.3
MPI Rank 1: 12/09/2017 11:42:58:  Epoch[ 3 of 3]-Minibatch[ 951- 960, 75.00%]: CrossEntropyWithSoftmax = 1.37537733 * 640; EvalClassificationError = 0.41718750 * 640; time = 0.0522s; samplesPerSecond = 12251.5
MPI Rank 1: 12/09/2017 11:42:58:  Epoch[ 3 of 3]-Minibatch[ 961- 970, 75.78%]: CrossEntropyWithSoftmax = 1.34279497 * 640; EvalClassificationError = 0.40000000 * 640; time = 0.0526s; samplesPerSecond = 12174.2
MPI Rank 1: 12/09/2017 11:42:58:  Epoch[ 3 of 3]-Minibatch[ 971- 980, 76.56%]: CrossEntropyWithSoftmax = 1.44800106 * 640; EvalClassificationError = 0.43281250 * 640; time = 0.0527s; samplesPerSecond = 12143.2
MPI Rank 1: 12/09/2017 11:42:58:  Epoch[ 3 of 3]-Minibatch[ 981- 990, 77.34%]: CrossEntropyWithSoftmax = 1.39898079 * 640; EvalClassificationError = 0.40625000 * 640; time = 0.0528s; samplesPerSecond = 12132.0
MPI Rank 1: 12/09/2017 11:42:58:  Epoch[ 3 of 3]-Minibatch[ 991-1000, 78.12%]: CrossEntropyWithSoftmax = 1.42998378 * 640; EvalClassificationError = 0.42968750 * 640; time = 0.0528s; samplesPerSecond = 12115.2
MPI Rank 1: 12/09/2017 11:42:58:  Epoch[ 3 of 3]-Minibatch[1001-1010, 78.91%]: CrossEntropyWithSoftmax = 1.44038007 * 640; EvalClassificationError = 0.43593750 * 640; time = 0.0532s; samplesPerSecond = 12040.7
MPI Rank 1: 12/09/2017 11:42:58:  Epoch[ 3 of 3]-Minibatch[1011-1020, 79.69%]: CrossEntropyWithSoftmax = 1.42901478 * 640; EvalClassificationError = 0.41718750 * 640; time = 0.0527s; samplesPerSecond = 12151.6
MPI Rank 1: 12/09/2017 11:42:58:  Epoch[ 3 of 3]-Minibatch[1021-1030, 80.47%]: CrossEntropyWithSoftmax = 1.41029634 * 640; EvalClassificationError = 0.41718750 * 640; time = 0.0523s; samplesPerSecond = 12230.6
MPI Rank 1: 12/09/2017 11:42:58:  Epoch[ 3 of 3]-Minibatch[1031-1040, 81.25%]: CrossEntropyWithSoftmax = 1.49719876 * 640; EvalClassificationError = 0.44375000 * 640; time = 0.0524s; samplesPerSecond = 12221.7
MPI Rank 1: 12/09/2017 11:42:58:  Epoch[ 3 of 3]-Minibatch[1041-1050, 82.03%]: CrossEntropyWithSoftmax = 1.47758011 * 640; EvalClassificationError = 0.43906250 * 640; time = 0.0528s; samplesPerSecond = 12119.7
MPI Rank 1: 12/09/2017 11:42:58:  Epoch[ 3 of 3]-Minibatch[1051-1060, 82.81%]: CrossEntropyWithSoftmax = 1.34170960 * 640; EvalClassificationError = 0.39531250 * 640; time = 0.0530s; samplesPerSecond = 12086.1
MPI Rank 1: 12/09/2017 11:42:58:  Epoch[ 3 of 3]-Minibatch[1061-1070, 83.59%]: CrossEntropyWithSoftmax = 1.45039943 * 640; EvalClassificationError = 0.43750000 * 640; time = 0.0530s; samplesPerSecond = 12073.4
MPI Rank 1: 12/09/2017 11:42:58:  Epoch[ 3 of 3]-Minibatch[1071-1080, 84.38%]: CrossEntropyWithSoftmax = 1.39622478 * 640; EvalClassificationError = 0.42343750 * 640; time = 0.0533s; samplesPerSecond = 12015.8
MPI Rank 1: 12/09/2017 11:42:58:  Epoch[ 3 of 3]-Minibatch[1081-1090, 85.16%]: CrossEntropyWithSoftmax = 1.45631530 * 640; EvalClassificationError = 0.43125000 * 640; time = 0.0530s; samplesPerSecond = 12069.2
MPI Rank 1: 12/09/2017 11:42:58:  Epoch[ 3 of 3]-Minibatch[1091-1100, 85.94%]: CrossEntropyWithSoftmax = 1.48396163 * 640; EvalClassificationError = 0.42656250 * 640; time = 0.0529s; samplesPerSecond = 12095.1
MPI Rank 1: 12/09/2017 11:42:58:  Epoch[ 3 of 3]-Minibatch[1101-1110, 86.72%]: CrossEntropyWithSoftmax = 1.45522685 * 640; EvalClassificationError = 0.45781250 * 640; time = 0.0562s; samplesPerSecond = 11378.8
MPI Rank 1: 12/09/2017 11:42:58:  Epoch[ 3 of 3]-Minibatch[1111-1120, 87.50%]: CrossEntropyWithSoftmax = 1.41045846 * 640; EvalClassificationError = 0.41093750 * 640; time = 0.0528s; samplesPerSecond = 12112.4
MPI Rank 1: 12/09/2017 11:42:58:  Epoch[ 3 of 3]-Minibatch[1121-1130, 88.28%]: CrossEntropyWithSoftmax = 1.46342489 * 640; EvalClassificationError = 0.43437500 * 640; time = 0.0535s; samplesPerSecond = 11972.9
MPI Rank 1: 12/09/2017 11:42:59:  Epoch[ 3 of 3]-Minibatch[1131-1140, 89.06%]: CrossEntropyWithSoftmax = 1.39275052 * 640; EvalClassificationError = 0.42812500 * 640; time = 0.0527s; samplesPerSecond = 12141.0
MPI Rank 1: 12/09/2017 11:42:59:  Epoch[ 3 of 3]-Minibatch[1141-1150, 89.84%]: CrossEntropyWithSoftmax = 1.35332063 * 640; EvalClassificationError = 0.40625000 * 640; time = 0.0530s; samplesPerSecond = 12086.4
MPI Rank 1: 12/09/2017 11:42:59:  Epoch[ 3 of 3]-Minibatch[1151-1160, 90.62%]: CrossEntropyWithSoftmax = 1.33033285 * 640; EvalClassificationError = 0.41406250 * 640; time = 0.0528s; samplesPerSecond = 12114.6
MPI Rank 1: 12/09/2017 11:42:59:  Epoch[ 3 of 3]-Minibatch[1161-1170, 91.41%]: CrossEntropyWithSoftmax = 1.39851854 * 640; EvalClassificationError = 0.41093750 * 640; time = 0.0525s; samplesPerSecond = 12189.0
MPI Rank 1: 12/09/2017 11:42:59:  Epoch[ 3 of 3]-Minibatch[1171-1180, 92.19%]: CrossEntropyWithSoftmax = 1.32897988 * 640; EvalClassificationError = 0.39375000 * 640; time = 0.0527s; samplesPerSecond = 12152.7
MPI Rank 1: 12/09/2017 11:42:59:  Epoch[ 3 of 3]-Minibatch[1181-1190, 92.97%]: CrossEntropyWithSoftmax = 1.40737264 * 640; EvalClassificationError = 0.43906250 * 640; time = 0.0529s; samplesPerSecond = 12091.6
MPI Rank 1: 12/09/2017 11:42:59:  Epoch[ 3 of 3]-Minibatch[1191-1200, 93.75%]: CrossEntropyWithSoftmax = 1.40879028 * 640; EvalClassificationError = 0.39218750 * 640; time = 0.0531s; samplesPerSecond = 12055.5
MPI Rank 1: 12/09/2017 11:42:59:  Epoch[ 3 of 3]-Minibatch[1201-1210, 94.53%]: CrossEntropyWithSoftmax = 1.23064851 * 640; EvalClassificationError = 0.39375000 * 640; time = 0.0528s; samplesPerSecond = 12127.3
MPI Rank 1: 12/09/2017 11:42:59:  Epoch[ 3 of 3]-Minibatch[1211-1220, 95.31%]: CrossEntropyWithSoftmax = 1.38284799 * 640; EvalClassificationError = 0.43125000 * 640; time = 0.0527s; samplesPerSecond = 12142.7
MPI Rank 1: 12/09/2017 11:42:59:  Epoch[ 3 of 3]-Minibatch[1221-1230, 96.09%]: CrossEntropyWithSoftmax = 1.49447827 * 640; EvalClassificationError = 0.42187500 * 640; time = 0.0527s; samplesPerSecond = 12152.5
MPI Rank 1: 12/09/2017 11:42:59:  Epoch[ 3 of 3]-Minibatch[1231-1240, 96.88%]: CrossEntropyWithSoftmax = 1.45547944 * 640; EvalClassificationError = 0.44375000 * 640; time = 0.0526s; samplesPerSecond = 12166.7
MPI Rank 1: 12/09/2017 11:42:59:  Epoch[ 3 of 3]-Minibatch[1241-1250, 97.66%]: CrossEntropyWithSoftmax = 1.39232690 * 640; EvalClassificationError = 0.41718750 * 640; time = 0.0527s; samplesPerSecond = 12143.3
MPI Rank 1: 12/09/2017 11:42:59:  Epoch[ 3 of 3]-Minibatch[1251-1260, 98.44%]: CrossEntropyWithSoftmax = 1.34876537 * 640; EvalClassificationError = 0.41250000 * 640; time = 0.0524s; samplesPerSecond = 12217.8
MPI Rank 1: 12/09/2017 11:42:59:  Epoch[ 3 of 3]-Minibatch[1261-1270, 99.22%]: CrossEntropyWithSoftmax = 1.41547092 * 640; EvalClassificationError = 0.42968750 * 640; time = 0.0527s; samplesPerSecond = 12141.9
MPI Rank 1: 12/09/2017 11:42:59:  Epoch[ 3 of 3]-Minibatch[1271-1280, 100.00%]: CrossEntropyWithSoftmax = 1.40630838 * 640; EvalClassificationError = 0.43281250 * 640; time = 0.0526s; samplesPerSecond = 12165.2
MPI Rank 1: 12/09/2017 11:42:59: Finished Epoch[ 3 of 3]: [Training] CrossEntropyWithSoftmax = 1.48405590 * 81920; EvalClassificationError = 0.43702393 * 81920; totalSamplesSeen = 245760; learningRatePerSample = 0.001953125; epochTime=9.1705s
MPI Rank 1: 
MPI Rank 1: 12/09/2017 11:42:59: Action "train" complete.
MPI Rank 1: 
MPI Rank 1: 12/09/2017 11:42:59: __COMPLETED__