CPU info:
    CPU Model Name: Intel(R) Xeon(R) CPU E5-2630 v2 @ 2.60GHz
    Hardware threads: 24
    Total Memory: 268381192 kB
-------------------------------------------------------------------
=== Running /cygdrive/c/jenkins/workspace/CNTK-Test-Windows-W1/x64/release/cntk.exe configFile=C:\jenkins\workspace\CNTK-Test-Windows-W1\Tests\EndToEndTests\Image\QuickE2E/cntk.cntk currentDirectory=C:\jenkins\workspace\CNTK-Test-Windows-W1\Tests\EndToEndTests\Image\Data RunDir=C:\Users\svcphil\AppData\Local\Temp\cntk-test-20161215082322.896447\Image_QuickE2E@release_gpu DataDir=C:\jenkins\workspace\CNTK-Test-Windows-W1\Tests\EndToEndTests\Image\Data ConfigDir=C:\jenkins\workspace\CNTK-Test-Windows-W1\Tests\EndToEndTests\Image\QuickE2E OutputDir=C:\Users\svcphil\AppData\Local\Temp\cntk-test-20161215082322.896447\Image_QuickE2E@release_gpu DeviceId=0 timestamping=true
CNTK 2.0.beta6.0+ (HEAD 5f1fab, Dec 15 2016 06:29:34) on DPHAIM-25 at 2016/12/15 08:25:48

C:\jenkins\workspace\CNTK-Test-Windows-W1\x64\release\cntk.exe  configFile=C:\jenkins\workspace\CNTK-Test-Windows-W1\Tests\EndToEndTests\Image\QuickE2E/cntk.cntk  currentDirectory=C:\jenkins\workspace\CNTK-Test-Windows-W1\Tests\EndToEndTests\Image\Data  RunDir=C:\Users\svcphil\AppData\Local\Temp\cntk-test-20161215082322.896447\Image_QuickE2E@release_gpu  DataDir=C:\jenkins\workspace\CNTK-Test-Windows-W1\Tests\EndToEndTests\Image\Data  ConfigDir=C:\jenkins\workspace\CNTK-Test-Windows-W1\Tests\EndToEndTests\Image\QuickE2E  OutputDir=C:\Users\svcphil\AppData\Local\Temp\cntk-test-20161215082322.896447\Image_QuickE2E@release_gpu  DeviceId=0  timestamping=true
Changed current directory to C:\jenkins\workspace\CNTK-Test-Windows-W1\Tests\EndToEndTests\Image\Data
12/15/2016 08:25:49: Using 8 CPU threads.

12/15/2016 08:25:49: ##############################################################################
12/15/2016 08:25:49: #                                                                            #
12/15/2016 08:25:49: # train command (train action)                                               #
12/15/2016 08:25:49: #                                                                            #
12/15/2016 08:25:49: ##############################################################################

parallelTrain option is not enabled. ParallelTrain config will be ignored.
12/15/2016 08:25:49: 
Creating virgin network.
Node '<placeholder>' (LearnableParameter operation): Initializating Parameter[128 x 0] as uniform later when dimensions are fully known.
Node '<placeholder>' (LearnableParameter operation): Initializating Parameter[10 x 0] as uniform later when dimensions are fully known.

Post-processing network...

2 roots:
	ce = CrossEntropyWithSoftmax()
	err = ClassificationError()

Validating network. 28 nodes to process in pass 1.

Validating --> labels = InputValue() :  -> [10 x *]
Validating --> ol.W = LearnableParameter() :  -> [10 x 0]
Validating --> h1.W = LearnableParameter() :  -> [128 x 0]
Validating --> conv2_act.convW = LearnableParameter() :  -> [32 x 400]
Validating --> conv1_act.convW = LearnableParameter() :  -> [16 x 25]
Validating --> featScale = LearnableParameter() :  -> [1 x 1]
Validating --> features = InputValue() :  -> [28 x 28 x 1 x *]
Validating --> featScaled = ElementTimes (featScale, features) : [1 x 1], [28 x 28 x 1 x *] -> [28 x 28 x 1 x *]
Validating --> conv1_act.conv = Convolution (conv1_act.convW, featScaled) : [16 x 25], [28 x 28 x 1 x *] -> [24 x 24 x 16 x *]
Validating --> conv1_act.convB = LearnableParameter() :  -> [1 x 1 x 16]
Validating --> conv1_act.convPlusB = Plus (conv1_act.conv, conv1_act.convB) : [24 x 24 x 16 x *], [1 x 1 x 16] -> [24 x 24 x 16 x *]
Validating --> conv1_act = RectifiedLinear (conv1_act.convPlusB) : [24 x 24 x 16 x *] -> [24 x 24 x 16 x *]
Validating --> pool1 = MaxPooling (conv1_act) : [24 x 24 x 16 x *] -> [12 x 12 x 16 x *]
Validating --> conv2_act.conv = Convolution (conv2_act.convW, pool1) : [32 x 400], [12 x 12 x 16 x *] -> [8 x 8 x 32 x *]
Validating --> conv2_act.convB = LearnableParameter() :  -> [1 x 1 x 32]
Validating --> conv2_act.convPlusB = Plus (conv2_act.conv, conv2_act.convB) : [8 x 8 x 32 x *], [1 x 1 x 32] -> [8 x 8 x 32 x *]
Validating --> conv2_act = RectifiedLinear (conv2_act.convPlusB) : [8 x 8 x 32 x *] -> [8 x 8 x 32 x *]
Validating --> pool2 = AveragePooling (conv2_act) : [8 x 8 x 32 x *] -> [4 x 4 x 32 x *]
Validating --> h1.x = Reshape (pool2) : [4 x 4 x 32 x *] -> [512 x *]
Node 'h1.W' (LearnableParameter operation) operation: Tensor shape was inferred as [128 x 512].
Node 'h1.W' (LearnableParameter operation): Initializing Parameter[128 x 512] <- uniform(seed=3, init dims=[128 x 512], range=0.050000(0.050000*1.000000), onCPU=true.
)Validating --> h1.z.PlusArgs[0] = Times (h1.W, h1.x) : [128 x 512], [512 x *] -> [128 x *]
Validating --> h1.b = LearnableParameter() :  -> [128]
Validating --> h1.z = Plus (h1.z.PlusArgs[0], h1.b) : [128 x *], [128] -> [128 x *]
Validating --> h1 = Sigmoid (h1.z) : [128 x *] -> [128 x *]
Node 'ol.W' (LearnableParameter operation) operation: Tensor shape was inferred as [10 x 128].
Node 'ol.W' (LearnableParameter operation): Initializing Parameter[10 x 128] <- uniform(seed=5, init dims=[10 x 128], range=0.050000(0.050000*1.000000), onCPU=true.
)Validating --> ol.out.PlusArgs[0] = Times (ol.W, h1) : [10 x 128], [128 x *] -> [10 x *]
Validating --> ol.b = LearnableParameter() :  -> [10 x 1]
Validating --> ol = Plus (ol.out.PlusArgs[0], ol.b) : [10 x *], [10 x 1] -> [10 x 1 x *]
Validating --> ce = CrossEntropyWithSoftmax (labels, ol) : [10 x *], [10 x 1 x *] -> [1]
Validating --> err = ClassificationError (labels, ol) : [10 x *], [10 x 1 x *] -> [1]

Validating network. 17 nodes to process in pass 2.


Validating network, final pass.




Post-processing network complete.

12/15/2016 08:25:50: 
Model has 28 nodes. Using GPU 0.

12/15/2016 08:25:50: Training criterion:   ce = CrossEntropyWithSoftmax
12/15/2016 08:25:50: Evaluation criterion: err = ClassificationError


Allocating matrices for forward and/or backward propagation.

Memory Sharing: Out of 51 matrices, 32 are shared as 14, and 19 are not shared.

	{ h1.W : [128 x 512] (gradient)
	  h1.z : [128 x *] }
	{ conv1_act.convPlusB : [24 x 24 x 16 x *]
	  conv1_act.convW : [16 x 25] (gradient) }
	{ ol : [10 x 1 x *]
	  ol.W : [10 x 128] (gradient) }
	{ conv1_act.convPlusB : [24 x 24 x 16 x *] (gradient)
	  pool1 : [12 x 12 x 16 x *] }
	{ conv1_act : [24 x 24 x 16 x *]
	  conv1_act.conv : [24 x 24 x 16 x *] (gradient) }
	{ conv2_act : [8 x 8 x 32 x *] (gradient)
	  conv2_act.convB : [1 x 1 x 32] (gradient)
	  h1.x : [512 x *] }
	{ conv1_act : [24 x 24 x 16 x *] (gradient)
	  conv1_act.convB : [1 x 1 x 16] (gradient) }
	{ conv2_act.convPlusB : [8 x 8 x 32 x *]
	  conv2_act.convW : [32 x 400] (gradient) }
	{ h1.x : [512 x *] (gradient)
	  h1.z : [128 x *] (gradient)
	  ol.out.PlusArgs[0] : [10 x *] }
	{ conv2_act.convPlusB : [8 x 8 x 32 x *] (gradient)
	  pool1 : [12 x 12 x 16 x *] (gradient)
	  pool2 : [4 x 4 x 32 x *] }
	{ h1 : [128 x *] (gradient)
	  h1.b : [128] (gradient)
	  ol : [10 x 1 x *] (gradient) }
	{ conv2_act : [8 x 8 x 32 x *]
	  conv2_act.conv : [8 x 8 x 32 x *] (gradient) }
	{ h1.z.PlusArgs[0] : [128 x *]
	  pool2 : [4 x 4 x 32 x *] (gradient) }
	{ h1 : [128 x *]
	  h1.z.PlusArgs[0] : [128 x *] (gradient) }


12/15/2016 08:25:50: Training 80202 parameters in 8 out of 8 parameter tensors and 23 nodes with gradient:

12/15/2016 08:25:50: 	Node 'conv1_act.convB' (LearnableParameter operation) : [1 x 1 x 16]
12/15/2016 08:25:50: 	Node 'conv1_act.convW' (LearnableParameter operation) : [16 x 25]
12/15/2016 08:25:50: 	Node 'conv2_act.convB' (LearnableParameter operation) : [1 x 1 x 32]
12/15/2016 08:25:50: 	Node 'conv2_act.convW' (LearnableParameter operation) : [32 x 400]
12/15/2016 08:25:50: 	Node 'h1.W' (LearnableParameter operation) : [128 x 512]
12/15/2016 08:25:50: 	Node 'h1.b' (LearnableParameter operation) : [128]
12/15/2016 08:25:50: 	Node 'ol.W' (LearnableParameter operation) : [10 x 128]
12/15/2016 08:25:50: 	Node 'ol.b' (LearnableParameter operation) : [10 x 1]

12/15/2016 08:25:50: No PreCompute nodes found, or all already computed. Skipping pre-computation step.

12/15/2016 08:25:50: Starting Epoch 1: learning rate per sample = 0.000002  effective momentum = 0.904837  momentum as time constant = 1000.0 samples

12/15/2016 08:25:50: Starting minibatch loop.
12/15/2016 08:25:50:  Epoch[ 1 of 5]-Minibatch[   1-  10, 100.00%]: ce = 2.33338428 * 1000; err = 0.90000000 * 1000; time = 0.3204s; samplesPerSecond = 3121.0
12/15/2016 08:25:50: Finished Epoch[ 1 of 5]: [Training] ce = 2.33338428 * 1000; err = 0.90000000 * 1000; totalSamplesSeen = 1000; learningRatePerSample = 2e-006; epochTime=0.320971s
12/15/2016 08:25:50: SGD: Saving checkpoint model 'C:\Users\svcphil\AppData\Local\Temp\cntk-test-20161215082322.896447\Image_QuickE2E@release_gpu/models/cntk.dnn.1'

12/15/2016 08:25:50: Starting Epoch 2: learning rate per sample = 0.000002  effective momentum = 0.904837  momentum as time constant = 1000.0 samples

12/15/2016 08:25:50: Starting minibatch loop.
12/15/2016 08:25:50:  Epoch[ 2 of 5]-Minibatch[   1-  10, 100.00%]: ce = 2.33235547 * 1000; err = 0.90000000 * 1000; time = 0.0250s; samplesPerSecond = 40052.9
12/15/2016 08:25:50: Finished Epoch[ 2 of 5]: [Training] ce = 2.33235547 * 1000; err = 0.90000000 * 1000; totalSamplesSeen = 2000; learningRatePerSample = 2e-006; epochTime=0.02536s
12/15/2016 08:25:50: SGD: Saving checkpoint model 'C:\Users\svcphil\AppData\Local\Temp\cntk-test-20161215082322.896447\Image_QuickE2E@release_gpu/models/cntk.dnn.2'

12/15/2016 08:25:50: Starting Epoch 3: learning rate per sample = 0.000002  effective momentum = 0.904837  momentum as time constant = 1000.0 samples

12/15/2016 08:25:50: Starting minibatch loop.
12/15/2016 08:25:50:  Epoch[ 3 of 5]-Minibatch[   1-  10, 100.00%]: ce = 2.33108008 * 1000; err = 0.90000000 * 1000; time = 0.0252s; samplesPerSecond = 39710.9
12/15/2016 08:25:50: Finished Epoch[ 3 of 5]: [Training] ce = 2.33108008 * 1000; err = 0.90000000 * 1000; totalSamplesSeen = 3000; learningRatePerSample = 2e-006; epochTime=0.025555s
12/15/2016 08:25:50: SGD: Saving checkpoint model 'C:\Users\svcphil\AppData\Local\Temp\cntk-test-20161215082322.896447\Image_QuickE2E@release_gpu/models/cntk.dnn.3'

12/15/2016 08:25:50: Starting Epoch 4: learning rate per sample = 0.000002  effective momentum = 0.904837  momentum as time constant = 1000.0 samples

12/15/2016 08:25:50: Starting minibatch loop.
12/15/2016 08:25:50:  Epoch[ 4 of 5]-Minibatch[   1-  10, 100.00%]: ce = 2.32960474 * 1000; err = 0.90000000 * 1000; time = 0.0250s; samplesPerSecond = 40011.2
12/15/2016 08:25:50: Finished Epoch[ 4 of 5]: [Training] ce = 2.32960474 * 1000; err = 0.90000000 * 1000; totalSamplesSeen = 4000; learningRatePerSample = 2e-006; epochTime=0.025356s
12/15/2016 08:25:50: SGD: Saving checkpoint model 'C:\Users\svcphil\AppData\Local\Temp\cntk-test-20161215082322.896447\Image_QuickE2E@release_gpu/models/cntk.dnn.4'

12/15/2016 08:25:50: Starting Epoch 5: learning rate per sample = 0.000002  effective momentum = 0.904837  momentum as time constant = 1000.0 samples

12/15/2016 08:25:50: Starting minibatch loop.
12/15/2016 08:25:50:  Epoch[ 5 of 5]-Minibatch[   1-  10, 100.00%]: ce = 2.32814063 * 1000; err = 0.90000000 * 1000; time = 0.0251s; samplesPerSecond = 39834.3
12/15/2016 08:25:50: Finished Epoch[ 5 of 5]: [Training] ce = 2.32814063 * 1000; err = 0.90000000 * 1000; totalSamplesSeen = 5000; learningRatePerSample = 2e-006; epochTime=0.025476s
12/15/2016 08:25:50: SGD: Saving checkpoint model 'C:\Users\svcphil\AppData\Local\Temp\cntk-test-20161215082322.896447\Image_QuickE2E@release_gpu/models/cntk.dnn'

12/15/2016 08:25:50: Action "train" complete.


12/15/2016 08:25:50: ##############################################################################
12/15/2016 08:25:50: #                                                                            #
12/15/2016 08:25:50: # test command (test action)                                                 #
12/15/2016 08:25:50: #                                                                            #
12/15/2016 08:25:50: ##############################################################################

evalNodeNames are not specified, using all the default evalnodes and training criterion nodes.
12/15/2016 08:25:50: Final Results: Minibatch[1-1]: err = 0.90000000 * 100; ce = 2.32728577 * 100; perplexity = 10.25008263

12/15/2016 08:25:50: __COMPLETED__
=== Deleting last epoch data
==== Re-running from checkpoint
=== Running /cygdrive/c/jenkins/workspace/CNTK-Test-Windows-W1/x64/release/cntk.exe configFile=C:\jenkins\workspace\CNTK-Test-Windows-W1\Tests\EndToEndTests\Image\QuickE2E/cntk.cntk currentDirectory=C:\jenkins\workspace\CNTK-Test-Windows-W1\Tests\EndToEndTests\Image\Data RunDir=C:\Users\svcphil\AppData\Local\Temp\cntk-test-20161215082322.896447\Image_QuickE2E@release_gpu DataDir=C:\jenkins\workspace\CNTK-Test-Windows-W1\Tests\EndToEndTests\Image\Data ConfigDir=C:\jenkins\workspace\CNTK-Test-Windows-W1\Tests\EndToEndTests\Image\QuickE2E OutputDir=C:\Users\svcphil\AppData\Local\Temp\cntk-test-20161215082322.896447\Image_QuickE2E@release_gpu DeviceId=0 timestamping=true makeMode=true
CNTK 2.0.beta6.0+ (HEAD 5f1fab, Dec 15 2016 06:29:34) on DPHAIM-25 at 2016/12/15 08:25:51

C:\jenkins\workspace\CNTK-Test-Windows-W1\x64\release\cntk.exe  configFile=C:\jenkins\workspace\CNTK-Test-Windows-W1\Tests\EndToEndTests\Image\QuickE2E/cntk.cntk  currentDirectory=C:\jenkins\workspace\CNTK-Test-Windows-W1\Tests\EndToEndTests\Image\Data  RunDir=C:\Users\svcphil\AppData\Local\Temp\cntk-test-20161215082322.896447\Image_QuickE2E@release_gpu  DataDir=C:\jenkins\workspace\CNTK-Test-Windows-W1\Tests\EndToEndTests\Image\Data  ConfigDir=C:\jenkins\workspace\CNTK-Test-Windows-W1\Tests\EndToEndTests\Image\QuickE2E  OutputDir=C:\Users\svcphil\AppData\Local\Temp\cntk-test-20161215082322.896447\Image_QuickE2E@release_gpu  DeviceId=0  timestamping=true  makeMode=true
Changed current directory to C:\jenkins\workspace\CNTK-Test-Windows-W1\Tests\EndToEndTests\Image\Data
12/15/2016 08:25:53: Using 8 CPU threads.

12/15/2016 08:25:53: ##############################################################################
12/15/2016 08:25:53: #                                                                            #
12/15/2016 08:25:53: # train command (train action)                                               #
12/15/2016 08:25:53: #                                                                            #
12/15/2016 08:25:53: ##############################################################################

parallelTrain option is not enabled. ParallelTrain config will be ignored.
12/15/2016 08:25:53: 
Starting from checkpoint. Loading network from 'C:\Users\svcphil\AppData\Local\Temp\cntk-test-20161215082322.896447\Image_QuickE2E@release_gpu/models/cntk.dnn.4'.
12/15/2016 08:25:54: 
Model has 28 nodes. Using GPU 0.

12/15/2016 08:25:54: Training criterion:   ce = CrossEntropyWithSoftmax
12/15/2016 08:25:54: Evaluation criterion: err = ClassificationError

12/15/2016 08:25:54: Training 80202 parameters in 8 out of 8 parameter tensors and 23 nodes with gradient:

12/15/2016 08:25:54: 	Node 'conv1_act.convB' (LearnableParameter operation) : [1 x 1 x 16]
12/15/2016 08:25:54: 	Node 'conv1_act.convW' (LearnableParameter operation) : [16 x 25]
12/15/2016 08:25:54: 	Node 'conv2_act.convB' (LearnableParameter operation) : [1 x 1 x 32]
12/15/2016 08:25:54: 	Node 'conv2_act.convW' (LearnableParameter operation) : [32 x 400]
12/15/2016 08:25:54: 	Node 'h1.W' (LearnableParameter operation) : [128 x 512]
12/15/2016 08:25:54: 	Node 'h1.b' (LearnableParameter operation) : [128]
12/15/2016 08:25:54: 	Node 'ol.W' (LearnableParameter operation) : [10 x 128]
12/15/2016 08:25:54: 	Node 'ol.b' (LearnableParameter operation) : [10 x 1]

12/15/2016 08:25:54: No PreCompute nodes found, or all already computed. Skipping pre-computation step.

12/15/2016 08:25:54: Starting Epoch 5: learning rate per sample = 0.000002  effective momentum = 0.904837  momentum as time constant = 1000.0 samples

12/15/2016 08:25:54: Starting minibatch loop.
12/15/2016 08:25:54:  Epoch[ 5 of 5]-Minibatch[   1-  10, 100.00%]: ce = 2.32814063 * 1000; err = 0.90000000 * 1000; time = 0.5288s; samplesPerSecond = 1890.9
12/15/2016 08:25:54: Finished Epoch[ 5 of 5]: [Training] ce = 2.32814063 * 1000; err = 0.90000000 * 1000; totalSamplesSeen = 5000; learningRatePerSample = 2e-006; epochTime=0.529367s
12/15/2016 08:25:54: SGD: Saving checkpoint model 'C:\Users\svcphil\AppData\Local\Temp\cntk-test-20161215082322.896447\Image_QuickE2E@release_gpu/models/cntk.dnn'

12/15/2016 08:25:54: Action "train" complete.


12/15/2016 08:25:54: ##############################################################################
12/15/2016 08:25:54: #                                                                            #
12/15/2016 08:25:54: # test command (test action)                                                 #
12/15/2016 08:25:54: #                                                                            #
12/15/2016 08:25:54: ##############################################################################

evalNodeNames are not specified, using all the default evalnodes and training criterion nodes.
12/15/2016 08:25:54: Final Results: Minibatch[1-1]: err = 0.90000000 * 100; ce = 2.32728577 * 100; perplexity = 10.25008263

12/15/2016 08:25:54: __COMPLETED__
