2017-04-29 13:04:46,954 : DEBUG : main : NodeContainerEditPart :  :  : (WFM) Read and Preprocess Images 2:77 (CONFIGURED)
2017-04-29 13:04:46,957 : DEBUG : main : NodeContainerEditPart :  :  : DL4J Feedforward Learner (Classification) 2:22 (CONFIGURED)
2017-04-29 13:04:48,249 : DEBUG : main : ExecuteAction :  :  : Creating execution job for 1 node(s)...
2017-04-29 13:04:48,253 : DEBUG : main : NodeContainer :  :  : Setting dirty flag on DL4J Model Initializer 2:64:61
2017-04-29 13:04:48,257 : DEBUG : main : NodeContainer :  :  : Setting dirty flag on AlexNet 2:64
2017-04-29 13:04:48,259 : DEBUG : main : NodeContainer :  :  : Setting dirty flag on 13_Celebrity_Detection_Using_Alex_Net 2
2017-04-29 13:04:48,262 : DEBUG : KNIME-Workflow-Notifier : WorkflowEditor :  :  : Workflow event triggered: WorkflowEvent [type=WORKFLOW_DIRTY;node=2;old=null;new=null;timestamp=Apr 29, 2017 1:04:48 PM]
2017-04-29 13:04:48,263 : DEBUG : main : NodeContainer :  :  : DL4J Model Initializer 2:64:61 has new state: CONFIGURED_MARKEDFOREXEC
2017-04-29 13:04:48,272 : DEBUG : main : NodeContainer :  :  : DL4J Model Initializer 2:64:61 has new state: CONFIGURED_QUEUED
2017-04-29 13:04:48,276 : DEBUG : main : NodeContainer :  :  : Setting dirty flag on Convolution Layer 2:64:55
2017-04-29 13:04:48,280 : DEBUG : main : NodeContainer :  :  : Convolution Layer 2:64:55 has new state: CONFIGURED_MARKEDFOREXEC
2017-04-29 13:04:48,284 : DEBUG : main : NodeContainer :  :  : Setting dirty flag on LRN Layer 2:64:60
2017-04-29 13:04:48,287 : DEBUG : main : NodeContainer :  :  : LRN Layer 2:64:60 has new state: CONFIGURED_MARKEDFOREXEC
2017-04-29 13:04:48,290 : DEBUG : main : NodeContainer :  :  : Setting dirty flag on Pooling Layer 2:64:59
2017-04-29 13:04:48,293 : DEBUG : main : NodeContainer :  :  : Pooling Layer 2:64:59 has new state: CONFIGURED_MARKEDFOREXEC
2017-04-29 13:04:48,296 : DEBUG : main : NodeContainer :  :  : Setting dirty flag on Convolution Layer 2:64:54
2017-04-29 13:04:48,300 : DEBUG : main : NodeContainer :  :  : Convolution Layer 2:64:54 has new state: CONFIGURED_MARKEDFOREXEC
2017-04-29 13:04:48,303 : DEBUG : main : NodeContainer :  :  : Setting dirty flag on LRN Layer 2:64:53
2017-04-29 13:04:48,306 : DEBUG : main : NodeContainer :  :  : LRN Layer 2:64:53 has new state: CONFIGURED_MARKEDFOREXEC
2017-04-29 13:04:48,309 : DEBUG : main : NodeContainer :  :  : Setting dirty flag on Pooling Layer 2:64:57
2017-04-29 13:04:48,312 : DEBUG : main : NodeContainer :  :  : Pooling Layer 2:64:57 has new state: CONFIGURED_MARKEDFOREXEC
2017-04-29 13:04:48,315 : DEBUG : main : NodeContainer :  :  : Setting dirty flag on Convolution Layer 2:64:52
2017-04-29 13:04:48,332 : DEBUG : main : NodeContainer :  :  : Convolution Layer 2:64:52 has new state: CONFIGURED_MARKEDFOREXEC
2017-04-29 13:04:48,336 : DEBUG : main : NodeContainer :  :  : Setting dirty flag on Convolution Layer 2:64:62
2017-04-29 13:04:48,339 : DEBUG : main : NodeContainer :  :  : Convolution Layer 2:64:62 has new state: CONFIGURED_MARKEDFOREXEC
2017-04-29 13:04:48,342 : DEBUG : main : NodeContainer :  :  : Setting dirty flag on Convolution Layer 2:64:56
2017-04-29 13:04:48,345 : DEBUG : main : NodeContainer :  :  : Convolution Layer 2:64:56 has new state: CONFIGURED_MARKEDFOREXEC
2017-04-29 13:04:48,348 : DEBUG : main : NodeContainer :  :  : Setting dirty flag on Pooling Layer 2:64:51
2017-04-29 13:04:48,352 : DEBUG : main : NodeContainer :  :  : Pooling Layer 2:64:51 has new state: CONFIGURED_MARKEDFOREXEC
2017-04-29 13:04:48,355 : DEBUG : main : NodeContainer :  :  : Setting dirty flag on Dense Layer 2:64:63
2017-04-29 13:04:48,358 : DEBUG : main : NodeContainer :  :  : Dense Layer 2:64:63 has new state: CONFIGURED_MARKEDFOREXEC
2017-04-29 13:04:48,361 : DEBUG : main : NodeContainer :  :  : Setting dirty flag on Dense Layer 2:64:58
2017-04-29 13:04:48,364 : DEBUG : main : NodeContainer :  :  : Dense Layer 2:64:58 has new state: CONFIGURED_MARKEDFOREXEC
2017-04-29 13:04:48,369 : DEBUG : main : NodeContainer :  :  : AlexNet 2:64 has new state: EXECUTING
2017-04-29 13:04:48,372 : DEBUG : main : NodeContainer :  :  : Setting dirty flag on DL4J Feedforward Learner (Classification) 2:22
2017-04-29 13:04:48,375 : DEBUG : main : NodeContainer :  :  : DL4J Feedforward Learner (Classification) 2:22 has new state: CONFIGURED_MARKEDFOREXEC
2017-04-29 13:04:48,379 : DEBUG : main : NodeContainer :  :  : 13_Celebrity_Detection_Using_Alex_Net 2 has new state: EXECUTING
2017-04-29 13:04:48,382 : DEBUG : KNIME-Worker-4 : WorkflowManager : DL4J Model Initializer : 2:64:61 : DL4J Model Initializer 2:64:61 doBeforePreExecution
2017-04-29 13:04:48,386 : DEBUG : KNIME-Worker-4 : NodeContainer : DL4J Model Initializer : 2:64:61 : DL4J Model Initializer 2:64:61 has new state: PREEXECUTE
2017-04-29 13:04:48,391 : DEBUG : KNIME-Worker-4 : WorkflowManager : DL4J Model Initializer : 2:64:61 : DL4J Model Initializer 2:64:61 doBeforeExecution
2017-04-29 13:04:48,391 : DEBUG : KNIME-WFM-Parent-Notifier : NodeContainer :  :  : ROOT  has new state: EXECUTING
2017-04-29 13:04:48,402 : DEBUG : KNIME-Worker-4 : NodeContainer : DL4J Model Initializer : 2:64:61 : DL4J Model Initializer 2:64:61 has new state: EXECUTING
2017-04-29 13:04:48,411 : DEBUG : KNIME-Worker-4 : WorkflowFileStoreHandlerRepository : DL4J Model Initializer : 2:64:61 : Adding handler 51d61b0b-365d-472e-8a7d-0d72bbf6a5a2 (DL4J Model Initializer 2:64:61: <no directory>) - 7 in total
2017-04-29 13:04:48,416 : DEBUG : KNIME-Worker-4 : LocalNodeExecutionJob : DL4J Model Initializer : 2:64:61 : DL4J Model Initializer 2:64:61 Start execute
2017-04-29 13:04:48,422 : INFO  : KNIME-Worker-4 : LocalNodeExecutionJob : DL4J Model Initializer : 2:64:61 : DL4J Model Initializer 2:64:61 End execute (0 secs)
2017-04-29 13:04:48,456 : DEBUG : KNIME-Worker-4 : WorkflowManager : DL4J Model Initializer : 2:64:61 : DL4J Model Initializer 2:64:61 doBeforePostExecution
2017-04-29 13:04:48,462 : DEBUG : KNIME-Worker-4 : NodeContainer : DL4J Model Initializer : 2:64:61 : DL4J Model Initializer 2:64:61 has new state: POSTEXECUTE
2017-04-29 13:04:48,470 : DEBUG : KNIME-Worker-4 : WorkflowManager : DL4J Model Initializer : 2:64:61 : DL4J Model Initializer 2:64:61 doAfterExecute - success
2017-04-29 13:04:48,484 : DEBUG : KNIME-Node-Usage-Writer : NodeTimer$GlobalNodeStats :  :  : Successfully wrote node usage stats to file: C:\Users\Aaron\knime-workspace2\.metadata\knime\nodeusage_3.0.json
2017-04-29 13:04:48,485 : DEBUG : KNIME-Worker-4 : NodeContainer : DL4J Model Initializer : 2:64:61 : DL4J Model Initializer 2:64:61 has new state: EXECUTED
2017-04-29 13:04:48,501 : DEBUG : KNIME-Worker-4 : Convolution Layer : Convolution Layer : 2:64:55 : Configure succeeded. (Convolution Layer)
2017-04-29 13:04:48,511 : DEBUG : KNIME-Worker-4 : NodeContainer : DL4J Model Initializer : 2:64:61 : Convolution Layer 2:64:55 has new state: CONFIGURED_QUEUED
2017-04-29 13:04:48,519 : DEBUG : KNIME-Worker-5 : WorkflowManager : Convolution Layer : 2:64:55 : Convolution Layer 2:64:55 doBeforePreExecution
2017-04-29 13:04:48,528 : DEBUG : KNIME-Worker-5 : NodeContainer : Convolution Layer : 2:64:55 : Convolution Layer 2:64:55 has new state: PREEXECUTE
2017-04-29 13:04:48,536 : DEBUG : KNIME-Worker-5 : WorkflowManager : Convolution Layer : 2:64:55 : Convolution Layer 2:64:55 doBeforeExecution
2017-04-29 13:04:48,544 : DEBUG : KNIME-Worker-5 : NodeContainer : Convolution Layer : 2:64:55 : Convolution Layer 2:64:55 has new state: EXECUTING
2017-04-29 13:04:48,553 : DEBUG : KNIME-Worker-5 : WorkflowFileStoreHandlerRepository : Convolution Layer : 2:64:55 : Adding handler dced776c-b519-401e-8ae0-2c113f6c3700 (Convolution Layer 2:64:55: <no directory>) - 8 in total
2017-04-29 13:04:48,562 : DEBUG : KNIME-Worker-5 : LocalNodeExecutionJob : Convolution Layer : 2:64:55 : Convolution Layer 2:64:55 Start execute
2017-04-29 13:04:48,603 : INFO  : KNIME-Worker-5 : LocalNodeExecutionJob : Convolution Layer : 2:64:55 : Convolution Layer 2:64:55 End execute (0 secs)
2017-04-29 13:04:48,613 : DEBUG : KNIME-Worker-5 : WorkflowManager : Convolution Layer : 2:64:55 : Convolution Layer 2:64:55 doBeforePostExecution
2017-04-29 13:04:48,625 : DEBUG : KNIME-Worker-5 : NodeContainer : Convolution Layer : 2:64:55 : Convolution Layer 2:64:55 has new state: POSTEXECUTE
2017-04-29 13:04:48,635 : DEBUG : KNIME-Worker-5 : WorkflowManager : Convolution Layer : 2:64:55 : Convolution Layer 2:64:55 doAfterExecute - success
2017-04-29 13:04:48,647 : DEBUG : KNIME-Worker-5 : NodeContainer : Convolution Layer : 2:64:55 : Convolution Layer 2:64:55 has new state: EXECUTED
2017-04-29 13:04:48,659 : DEBUG : KNIME-Worker-5 : LRN Layer : LRN Layer : 2:64:60 : Configure succeeded. (LRN Layer)
2017-04-29 13:04:48,671 : DEBUG : KNIME-Worker-5 : NodeContainer : Convolution Layer : 2:64:55 : LRN Layer 2:64:60 has new state: CONFIGURED_QUEUED
2017-04-29 13:04:48,683 : DEBUG : KNIME-Worker-6 : WorkflowManager : LRN Layer : 2:64:60 : LRN Layer 2:64:60 doBeforePreExecution
2017-04-29 13:04:48,695 : DEBUG : KNIME-Worker-6 : NodeContainer : LRN Layer : 2:64:60 : LRN Layer 2:64:60 has new state: PREEXECUTE
2017-04-29 13:04:48,706 : DEBUG : KNIME-Worker-6 : WorkflowManager : LRN Layer : 2:64:60 : LRN Layer 2:64:60 doBeforeExecution
2017-04-29 13:04:48,719 : DEBUG : KNIME-Worker-6 : NodeContainer : LRN Layer : 2:64:60 : LRN Layer 2:64:60 has new state: EXECUTING
2017-04-29 13:04:48,731 : DEBUG : KNIME-Worker-6 : WorkflowFileStoreHandlerRepository : LRN Layer : 2:64:60 : Adding handler 22faaf4c-a1ec-4d79-84d7-1782aa163b78 (LRN Layer 2:64:60: <no directory>) - 9 in total
2017-04-29 13:04:48,742 : DEBUG : KNIME-Worker-6 : LocalNodeExecutionJob : LRN Layer : 2:64:60 : LRN Layer 2:64:60 Start execute
2017-04-29 13:04:49,516 : INFO  : KNIME-Worker-6 : LocalNodeExecutionJob : LRN Layer : 2:64:60 : LRN Layer 2:64:60 End execute (0 secs)
2017-04-29 13:04:49,528 : DEBUG : KNIME-Worker-6 : WorkflowManager : LRN Layer : 2:64:60 : LRN Layer 2:64:60 doBeforePostExecution
2017-04-29 13:04:49,540 : DEBUG : KNIME-Worker-6 : NodeContainer : LRN Layer : 2:64:60 : LRN Layer 2:64:60 has new state: POSTEXECUTE
2017-04-29 13:04:49,551 : DEBUG : KNIME-Worker-6 : WorkflowManager : LRN Layer : 2:64:60 : LRN Layer 2:64:60 doAfterExecute - success
2017-04-29 13:04:49,563 : DEBUG : KNIME-Worker-6 : NodeContainer : LRN Layer : 2:64:60 : LRN Layer 2:64:60 has new state: EXECUTED
2017-04-29 13:04:49,576 : DEBUG : KNIME-Worker-6 : Pooling Layer : Pooling Layer : 2:64:59 : Configure succeeded. (Pooling Layer)
2017-04-29 13:04:49,588 : DEBUG : KNIME-Worker-6 : NodeContainer : LRN Layer : 2:64:60 : Pooling Layer 2:64:59 has new state: CONFIGURED_QUEUED
2017-04-29 13:04:49,601 : DEBUG : KNIME-Worker-4 : WorkflowManager : Pooling Layer : 2:64:59 : Pooling Layer 2:64:59 doBeforePreExecution
2017-04-29 13:04:49,613 : DEBUG : KNIME-Worker-4 : NodeContainer : Pooling Layer : 2:64:59 : Pooling Layer 2:64:59 has new state: PREEXECUTE
2017-04-29 13:04:49,626 : DEBUG : KNIME-Worker-4 : WorkflowManager : Pooling Layer : 2:64:59 : Pooling Layer 2:64:59 doBeforeExecution
2017-04-29 13:04:49,639 : DEBUG : KNIME-Worker-4 : NodeContainer : Pooling Layer : 2:64:59 : Pooling Layer 2:64:59 has new state: EXECUTING
2017-04-29 13:04:49,651 : DEBUG : KNIME-Worker-4 : WorkflowFileStoreHandlerRepository : Pooling Layer : 2:64:59 : Adding handler f2a48535-cf14-4944-956e-39997674b12a (Pooling Layer 2:64:59: <no directory>) - 10 in total
2017-04-29 13:04:49,664 : DEBUG : KNIME-Worker-4 : LocalNodeExecutionJob : Pooling Layer : 2:64:59 : Pooling Layer 2:64:59 Start execute
2017-04-29 13:04:49,702 : INFO  : KNIME-Worker-4 : LocalNodeExecutionJob : Pooling Layer : 2:64:59 : Pooling Layer 2:64:59 End execute (0 secs)
2017-04-29 13:04:49,715 : DEBUG : KNIME-Worker-4 : WorkflowManager : Pooling Layer : 2:64:59 : Pooling Layer 2:64:59 doBeforePostExecution
2017-04-29 13:04:49,728 : DEBUG : KNIME-Worker-4 : NodeContainer : Pooling Layer : 2:64:59 : Pooling Layer 2:64:59 has new state: POSTEXECUTE
2017-04-29 13:04:49,741 : DEBUG : KNIME-Worker-4 : WorkflowManager : Pooling Layer : 2:64:59 : Pooling Layer 2:64:59 doAfterExecute - success
2017-04-29 13:04:49,755 : DEBUG : KNIME-Worker-4 : NodeContainer : Pooling Layer : 2:64:59 : Pooling Layer 2:64:59 has new state: EXECUTED
2017-04-29 13:04:49,769 : DEBUG : KNIME-Worker-4 : Convolution Layer : Convolution Layer : 2:64:54 : Configure succeeded. (Convolution Layer)
2017-04-29 13:04:49,782 : DEBUG : KNIME-Worker-4 : NodeContainer : Pooling Layer : 2:64:59 : Convolution Layer 2:64:54 has new state: CONFIGURED_QUEUED
2017-04-29 13:04:49,794 : DEBUG : KNIME-Worker-5 : WorkflowManager : Convolution Layer : 2:64:54 : Convolution Layer 2:64:54 doBeforePreExecution
2017-04-29 13:04:49,807 : DEBUG : KNIME-Worker-5 : NodeContainer : Convolution Layer : 2:64:54 : Convolution Layer 2:64:54 has new state: PREEXECUTE
2017-04-29 13:04:49,819 : DEBUG : KNIME-Worker-5 : WorkflowManager : Convolution Layer : 2:64:54 : Convolution Layer 2:64:54 doBeforeExecution
2017-04-29 13:04:49,832 : DEBUG : KNIME-Worker-5 : NodeContainer : Convolution Layer : 2:64:54 : Convolution Layer 2:64:54 has new state: EXECUTING
2017-04-29 13:04:49,845 : DEBUG : KNIME-Worker-5 : WorkflowFileStoreHandlerRepository : Convolution Layer : 2:64:54 : Adding handler 77ddf2bf-1478-46a2-8156-d2818180bea8 (Convolution Layer 2:64:54: <no directory>) - 11 in total
2017-04-29 13:04:49,857 : DEBUG : KNIME-Worker-5 : LocalNodeExecutionJob : Convolution Layer : 2:64:54 : Convolution Layer 2:64:54 Start execute
2017-04-29 13:04:49,889 : INFO  : KNIME-Worker-5 : LocalNodeExecutionJob : Convolution Layer : 2:64:54 : Convolution Layer 2:64:54 End execute (0 secs)
2017-04-29 13:04:49,902 : DEBUG : KNIME-Worker-5 : WorkflowManager : Convolution Layer : 2:64:54 : Convolution Layer 2:64:54 doBeforePostExecution
2017-04-29 13:04:49,914 : DEBUG : KNIME-Worker-5 : NodeContainer : Convolution Layer : 2:64:54 : Convolution Layer 2:64:54 has new state: POSTEXECUTE
2017-04-29 13:04:49,926 : DEBUG : KNIME-Worker-5 : WorkflowManager : Convolution Layer : 2:64:54 : Convolution Layer 2:64:54 doAfterExecute - success
2017-04-29 13:04:49,939 : DEBUG : KNIME-Worker-5 : NodeContainer : Convolution Layer : 2:64:54 : Convolution Layer 2:64:54 has new state: EXECUTED
2017-04-29 13:04:49,952 : DEBUG : KNIME-Worker-5 : LRN Layer : LRN Layer : 2:64:53 : Configure succeeded. (LRN Layer)
2017-04-29 13:04:49,964 : DEBUG : KNIME-Worker-5 : NodeContainer : Convolution Layer : 2:64:54 : LRN Layer 2:64:53 has new state: CONFIGURED_QUEUED
2017-04-29 13:04:49,977 : DEBUG : KNIME-Worker-6 : WorkflowManager : LRN Layer : 2:64:53 : LRN Layer 2:64:53 doBeforePreExecution
2017-04-29 13:04:49,989 : DEBUG : KNIME-Worker-6 : NodeContainer : LRN Layer : 2:64:53 : LRN Layer 2:64:53 has new state: PREEXECUTE
2017-04-29 13:04:50,001 : DEBUG : KNIME-Worker-6 : WorkflowManager : LRN Layer : 2:64:53 : LRN Layer 2:64:53 doBeforeExecution
2017-04-29 13:04:50,014 : DEBUG : KNIME-Worker-6 : NodeContainer : LRN Layer : 2:64:53 : LRN Layer 2:64:53 has new state: EXECUTING
2017-04-29 13:04:50,026 : DEBUG : KNIME-Worker-6 : WorkflowFileStoreHandlerRepository : LRN Layer : 2:64:53 : Adding handler f0b13408-bc91-49c8-9c91-5e4e641f36d7 (LRN Layer 2:64:53: <no directory>) - 12 in total
2017-04-29 13:04:50,039 : DEBUG : KNIME-Worker-6 : LocalNodeExecutionJob : LRN Layer : 2:64:53 : LRN Layer 2:64:53 Start execute
2017-04-29 13:04:50,056 : INFO  : KNIME-Worker-6 : LocalNodeExecutionJob : LRN Layer : 2:64:53 : LRN Layer 2:64:53 End execute (0 secs)
2017-04-29 13:04:50,069 : DEBUG : KNIME-Worker-6 : WorkflowManager : LRN Layer : 2:64:53 : LRN Layer 2:64:53 doBeforePostExecution
2017-04-29 13:04:50,081 : DEBUG : KNIME-Worker-6 : NodeContainer : LRN Layer : 2:64:53 : LRN Layer 2:64:53 has new state: POSTEXECUTE
2017-04-29 13:04:50,093 : DEBUG : KNIME-Worker-6 : WorkflowManager : LRN Layer : 2:64:53 : LRN Layer 2:64:53 doAfterExecute - success
2017-04-29 13:04:50,106 : DEBUG : KNIME-Worker-6 : NodeContainer : LRN Layer : 2:64:53 : LRN Layer 2:64:53 has new state: EXECUTED
2017-04-29 13:04:50,119 : DEBUG : KNIME-Worker-6 : Pooling Layer : Pooling Layer : 2:64:57 : Configure succeeded. (Pooling Layer)
2017-04-29 13:04:50,132 : DEBUG : KNIME-Worker-6 : NodeContainer : LRN Layer : 2:64:53 : Pooling Layer 2:64:57 has new state: CONFIGURED_QUEUED
2017-04-29 13:04:50,145 : DEBUG : KNIME-Worker-4 : WorkflowManager : Pooling Layer : 2:64:57 : Pooling Layer 2:64:57 doBeforePreExecution
2017-04-29 13:04:50,158 : DEBUG : KNIME-Worker-4 : NodeContainer : Pooling Layer : 2:64:57 : Pooling Layer 2:64:57 has new state: PREEXECUTE
2017-04-29 13:04:50,170 : DEBUG : KNIME-Worker-4 : WorkflowManager : Pooling Layer : 2:64:57 : Pooling Layer 2:64:57 doBeforeExecution
2017-04-29 13:04:50,183 : DEBUG : KNIME-Worker-4 : NodeContainer : Pooling Layer : 2:64:57 : Pooling Layer 2:64:57 has new state: EXECUTING
2017-04-29 13:04:50,195 : DEBUG : KNIME-Worker-4 : WorkflowFileStoreHandlerRepository : Pooling Layer : 2:64:57 : Adding handler a4a7ae0f-100b-45a6-a387-387274c4d379 (Pooling Layer 2:64:57: <no directory>) - 13 in total
2017-04-29 13:04:50,208 : DEBUG : KNIME-Worker-4 : LocalNodeExecutionJob : Pooling Layer : 2:64:57 : Pooling Layer 2:64:57 Start execute
2017-04-29 13:04:50,524 : INFO  : KNIME-Worker-4 : LocalNodeExecutionJob : Pooling Layer : 2:64:57 : Pooling Layer 2:64:57 End execute (0 secs)
2017-04-29 13:04:50,526 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:04:50,537 : DEBUG : KNIME-Worker-4 : WorkflowManager : Pooling Layer : 2:64:57 : Pooling Layer 2:64:57 doBeforePostExecution
2017-04-29 13:04:50,563 : DEBUG : KNIME-Worker-4 : NodeContainer : Pooling Layer : 2:64:57 : Pooling Layer 2:64:57 has new state: POSTEXECUTE
2017-04-29 13:04:50,575 : DEBUG : KNIME-Worker-4 : WorkflowManager : Pooling Layer : 2:64:57 : Pooling Layer 2:64:57 doAfterExecute - success
2017-04-29 13:04:50,588 : DEBUG : KNIME-Worker-4 : NodeContainer : Pooling Layer : 2:64:57 : Pooling Layer 2:64:57 has new state: EXECUTED
2017-04-29 13:04:50,600 : DEBUG : KNIME-Worker-4 : Convolution Layer : Convolution Layer : 2:64:52 : Configure succeeded. (Convolution Layer)
2017-04-29 13:04:50,613 : DEBUG : KNIME-Worker-4 : NodeContainer : Pooling Layer : 2:64:57 : Convolution Layer 2:64:52 has new state: CONFIGURED_QUEUED
2017-04-29 13:04:50,626 : DEBUG : KNIME-Worker-5 : WorkflowManager : Convolution Layer : 2:64:52 : Convolution Layer 2:64:52 doBeforePreExecution
2017-04-29 13:04:50,638 : DEBUG : KNIME-Worker-5 : NodeContainer : Convolution Layer : 2:64:52 : Convolution Layer 2:64:52 has new state: PREEXECUTE
2017-04-29 13:04:50,651 : DEBUG : KNIME-Worker-5 : WorkflowManager : Convolution Layer : 2:64:52 : Convolution Layer 2:64:52 doBeforeExecution
2017-04-29 13:04:50,663 : DEBUG : KNIME-Worker-5 : NodeContainer : Convolution Layer : 2:64:52 : Convolution Layer 2:64:52 has new state: EXECUTING
2017-04-29 13:04:50,676 : DEBUG : KNIME-Worker-5 : WorkflowFileStoreHandlerRepository : Convolution Layer : 2:64:52 : Adding handler 950fcfa2-652b-4161-802b-5174b9d39910 (Convolution Layer 2:64:52: <no directory>) - 14 in total
2017-04-29 13:04:50,688 : DEBUG : KNIME-Worker-5 : LocalNodeExecutionJob : Convolution Layer : 2:64:52 : Convolution Layer 2:64:52 Start execute
2017-04-29 13:04:50,712 : INFO  : KNIME-Worker-5 : LocalNodeExecutionJob : Convolution Layer : 2:64:52 : Convolution Layer 2:64:52 End execute (0 secs)
2017-04-29 13:04:50,725 : DEBUG : KNIME-Worker-5 : WorkflowManager : Convolution Layer : 2:64:52 : Convolution Layer 2:64:52 doBeforePostExecution
2017-04-29 13:04:50,737 : DEBUG : KNIME-Worker-5 : NodeContainer : Convolution Layer : 2:64:52 : Convolution Layer 2:64:52 has new state: POSTEXECUTE
2017-04-29 13:04:50,748 : DEBUG : KNIME-Worker-5 : WorkflowManager : Convolution Layer : 2:64:52 : Convolution Layer 2:64:52 doAfterExecute - success
2017-04-29 13:04:50,760 : DEBUG : KNIME-Worker-5 : NodeContainer : Convolution Layer : 2:64:52 : Convolution Layer 2:64:52 has new state: EXECUTED
2017-04-29 13:04:50,773 : DEBUG : KNIME-Worker-5 : Convolution Layer : Convolution Layer : 2:64:62 : Configure succeeded. (Convolution Layer)
2017-04-29 13:04:50,786 : DEBUG : KNIME-Worker-5 : NodeContainer : Convolution Layer : 2:64:52 : Convolution Layer 2:64:62 has new state: CONFIGURED_QUEUED
2017-04-29 13:04:50,799 : DEBUG : KNIME-Worker-6 : WorkflowManager : Convolution Layer : 2:64:62 : Convolution Layer 2:64:62 doBeforePreExecution
2017-04-29 13:04:50,811 : DEBUG : KNIME-Worker-6 : NodeContainer : Convolution Layer : 2:64:62 : Convolution Layer 2:64:62 has new state: PREEXECUTE
2017-04-29 13:04:50,823 : DEBUG : KNIME-Worker-6 : WorkflowManager : Convolution Layer : 2:64:62 : Convolution Layer 2:64:62 doBeforeExecution
2017-04-29 13:04:50,836 : DEBUG : KNIME-Worker-6 : NodeContainer : Convolution Layer : 2:64:62 : Convolution Layer 2:64:62 has new state: EXECUTING
2017-04-29 13:04:50,848 : DEBUG : KNIME-Worker-6 : WorkflowFileStoreHandlerRepository : Convolution Layer : 2:64:62 : Adding handler 2a627128-cb1c-48bf-ba7c-61662acfb237 (Convolution Layer 2:64:62: <no directory>) - 15 in total
2017-04-29 13:04:50,860 : DEBUG : KNIME-Worker-6 : LocalNodeExecutionJob : Convolution Layer : 2:64:62 : Convolution Layer 2:64:62 Start execute
2017-04-29 13:04:50,876 : INFO  : KNIME-Worker-6 : LocalNodeExecutionJob : Convolution Layer : 2:64:62 : Convolution Layer 2:64:62 End execute (0 secs)
2017-04-29 13:04:50,888 : DEBUG : KNIME-Worker-6 : WorkflowManager : Convolution Layer : 2:64:62 : Convolution Layer 2:64:62 doBeforePostExecution
2017-04-29 13:04:50,900 : DEBUG : KNIME-Worker-6 : NodeContainer : Convolution Layer : 2:64:62 : Convolution Layer 2:64:62 has new state: POSTEXECUTE
2017-04-29 13:04:50,911 : DEBUG : KNIME-Worker-6 : WorkflowManager : Convolution Layer : 2:64:62 : Convolution Layer 2:64:62 doAfterExecute - success
2017-04-29 13:04:50,923 : DEBUG : KNIME-Worker-6 : NodeContainer : Convolution Layer : 2:64:62 : Convolution Layer 2:64:62 has new state: EXECUTED
2017-04-29 13:04:50,936 : DEBUG : KNIME-Worker-6 : Convolution Layer : Convolution Layer : 2:64:56 : Configure succeeded. (Convolution Layer)
2017-04-29 13:04:50,948 : DEBUG : KNIME-Worker-6 : NodeContainer : Convolution Layer : 2:64:62 : Convolution Layer 2:64:56 has new state: CONFIGURED_QUEUED
2017-04-29 13:04:50,961 : DEBUG : KNIME-Worker-4 : WorkflowManager : Convolution Layer : 2:64:56 : Convolution Layer 2:64:56 doBeforePreExecution
2017-04-29 13:04:50,973 : DEBUG : KNIME-Worker-4 : NodeContainer : Convolution Layer : 2:64:56 : Convolution Layer 2:64:56 has new state: PREEXECUTE
2017-04-29 13:04:50,986 : DEBUG : KNIME-Worker-4 : WorkflowManager : Convolution Layer : 2:64:56 : Convolution Layer 2:64:56 doBeforeExecution
2017-04-29 13:04:50,998 : DEBUG : KNIME-Worker-4 : NodeContainer : Convolution Layer : 2:64:56 : Convolution Layer 2:64:56 has new state: EXECUTING
2017-04-29 13:04:51,011 : DEBUG : KNIME-Worker-4 : WorkflowFileStoreHandlerRepository : Convolution Layer : 2:64:56 : Adding handler 52a3a3f9-e322-46e7-82b8-c64ecd865d3e (Convolution Layer 2:64:56: <no directory>) - 16 in total
2017-04-29 13:04:51,023 : DEBUG : KNIME-Worker-4 : LocalNodeExecutionJob : Convolution Layer : 2:64:56 : Convolution Layer 2:64:56 Start execute
2017-04-29 13:04:51,044 : INFO  : KNIME-Worker-4 : LocalNodeExecutionJob : Convolution Layer : 2:64:56 : Convolution Layer 2:64:56 End execute (0 secs)
2017-04-29 13:04:51,057 : DEBUG : KNIME-Worker-4 : WorkflowManager : Convolution Layer : 2:64:56 : Convolution Layer 2:64:56 doBeforePostExecution
2017-04-29 13:04:51,069 : DEBUG : KNIME-Worker-4 : NodeContainer : Convolution Layer : 2:64:56 : Convolution Layer 2:64:56 has new state: POSTEXECUTE
2017-04-29 13:04:51,081 : DEBUG : KNIME-Worker-4 : WorkflowManager : Convolution Layer : 2:64:56 : Convolution Layer 2:64:56 doAfterExecute - success
2017-04-29 13:04:51,092 : DEBUG : KNIME-Worker-4 : NodeContainer : Convolution Layer : 2:64:56 : Convolution Layer 2:64:56 has new state: EXECUTED
2017-04-29 13:04:51,105 : DEBUG : KNIME-Worker-4 : Pooling Layer : Pooling Layer : 2:64:51 : Configure succeeded. (Pooling Layer)
2017-04-29 13:04:51,117 : DEBUG : KNIME-Worker-4 : NodeContainer : Convolution Layer : 2:64:56 : Pooling Layer 2:64:51 has new state: CONFIGURED_QUEUED
2017-04-29 13:04:51,130 : DEBUG : KNIME-Worker-5 : WorkflowManager : Pooling Layer : 2:64:51 : Pooling Layer 2:64:51 doBeforePreExecution
2017-04-29 13:04:51,143 : DEBUG : KNIME-Worker-5 : NodeContainer : Pooling Layer : 2:64:51 : Pooling Layer 2:64:51 has new state: PREEXECUTE
2017-04-29 13:04:51,155 : DEBUG : KNIME-Worker-5 : WorkflowManager : Pooling Layer : 2:64:51 : Pooling Layer 2:64:51 doBeforeExecution
2017-04-29 13:04:51,168 : DEBUG : KNIME-Worker-5 : NodeContainer : Pooling Layer : 2:64:51 : Pooling Layer 2:64:51 has new state: EXECUTING
2017-04-29 13:04:51,181 : DEBUG : KNIME-Worker-5 : WorkflowFileStoreHandlerRepository : Pooling Layer : 2:64:51 : Adding handler 9098bdfb-bb42-4bb1-bfa2-0612931c79d0 (Pooling Layer 2:64:51: <no directory>) - 17 in total
2017-04-29 13:04:51,194 : DEBUG : KNIME-Worker-5 : LocalNodeExecutionJob : Pooling Layer : 2:64:51 : Pooling Layer 2:64:51 Start execute
2017-04-29 13:04:51,210 : INFO  : KNIME-Worker-5 : LocalNodeExecutionJob : Pooling Layer : 2:64:51 : Pooling Layer 2:64:51 End execute (0 secs)
2017-04-29 13:04:51,224 : DEBUG : KNIME-Worker-5 : WorkflowManager : Pooling Layer : 2:64:51 : Pooling Layer 2:64:51 doBeforePostExecution
2017-04-29 13:04:51,236 : DEBUG : KNIME-Worker-5 : NodeContainer : Pooling Layer : 2:64:51 : Pooling Layer 2:64:51 has new state: POSTEXECUTE
2017-04-29 13:04:51,248 : DEBUG : KNIME-Worker-5 : WorkflowManager : Pooling Layer : 2:64:51 : Pooling Layer 2:64:51 doAfterExecute - success
2017-04-29 13:04:51,261 : DEBUG : KNIME-Worker-5 : NodeContainer : Pooling Layer : 2:64:51 : Pooling Layer 2:64:51 has new state: EXECUTED
2017-04-29 13:04:51,273 : DEBUG : KNIME-Worker-5 : Dense Layer : Dense Layer : 2:64:63 : Configure succeeded. (Dense Layer)
2017-04-29 13:04:51,287 : DEBUG : KNIME-Worker-5 : NodeContainer : Pooling Layer : 2:64:51 : Dense Layer 2:64:63 has new state: CONFIGURED_QUEUED
2017-04-29 13:04:51,299 : DEBUG : KNIME-Worker-6 : WorkflowManager : Dense Layer : 2:64:63 : Dense Layer 2:64:63 doBeforePreExecution
2017-04-29 13:04:51,312 : DEBUG : KNIME-Worker-6 : NodeContainer : Dense Layer : 2:64:63 : Dense Layer 2:64:63 has new state: PREEXECUTE
2017-04-29 13:04:51,324 : DEBUG : KNIME-Worker-6 : WorkflowManager : Dense Layer : 2:64:63 : Dense Layer 2:64:63 doBeforeExecution
2017-04-29 13:04:51,337 : DEBUG : KNIME-Worker-6 : NodeContainer : Dense Layer : 2:64:63 : Dense Layer 2:64:63 has new state: EXECUTING
2017-04-29 13:04:51,350 : DEBUG : KNIME-Worker-6 : WorkflowFileStoreHandlerRepository : Dense Layer : 2:64:63 : Adding handler 5acf1d84-0886-4151-affd-4fa3ee2a5fea (Dense Layer 2:64:63: <no directory>) - 18 in total
2017-04-29 13:04:51,363 : DEBUG : KNIME-Worker-6 : LocalNodeExecutionJob : Dense Layer : 2:64:63 : Dense Layer 2:64:63 Start execute
2017-04-29 13:04:51,380 : INFO  : KNIME-Worker-6 : LocalNodeExecutionJob : Dense Layer : 2:64:63 : Dense Layer 2:64:63 End execute (0 secs)
2017-04-29 13:04:51,393 : DEBUG : KNIME-Worker-6 : WorkflowManager : Dense Layer : 2:64:63 : Dense Layer 2:64:63 doBeforePostExecution
2017-04-29 13:04:51,406 : DEBUG : KNIME-Worker-6 : NodeContainer : Dense Layer : 2:64:63 : Dense Layer 2:64:63 has new state: POSTEXECUTE
2017-04-29 13:04:51,418 : DEBUG : KNIME-Worker-6 : WorkflowManager : Dense Layer : 2:64:63 : Dense Layer 2:64:63 doAfterExecute - success
2017-04-29 13:04:51,431 : DEBUG : KNIME-Worker-6 : NodeContainer : Dense Layer : 2:64:63 : Dense Layer 2:64:63 has new state: EXECUTED
2017-04-29 13:04:51,445 : DEBUG : KNIME-Worker-6 : Dense Layer : Dense Layer : 2:64:58 : Configure succeeded. (Dense Layer)
2017-04-29 13:04:51,459 : DEBUG : KNIME-Worker-6 : NodeContainer : Dense Layer : 2:64:63 : Dense Layer 2:64:58 has new state: CONFIGURED_QUEUED
2017-04-29 13:04:51,472 : DEBUG : KNIME-Worker-4 : WorkflowManager : Dense Layer : 2:64:58 : Dense Layer 2:64:58 doBeforePreExecution
2017-04-29 13:04:51,484 : DEBUG : KNIME-Worker-4 : NodeContainer : Dense Layer : 2:64:58 : Dense Layer 2:64:58 has new state: PREEXECUTE
2017-04-29 13:04:51,497 : DEBUG : KNIME-Worker-4 : WorkflowManager : Dense Layer : 2:64:58 : Dense Layer 2:64:58 doBeforeExecution
2017-04-29 13:04:51,510 : DEBUG : KNIME-Worker-4 : NodeContainer : Dense Layer : 2:64:58 : Dense Layer 2:64:58 has new state: EXECUTING
2017-04-29 13:04:51,523 : DEBUG : KNIME-Worker-4 : WorkflowFileStoreHandlerRepository : Dense Layer : 2:64:58 : Adding handler faed5b71-3f2a-4920-8732-3dfa8c4eac16 (Dense Layer 2:64:58: <no directory>) - 19 in total
2017-04-29 13:04:51,536 : DEBUG : KNIME-Worker-4 : LocalNodeExecutionJob : Dense Layer : 2:64:58 : Dense Layer 2:64:58 Start execute
2017-04-29 13:04:51,559 : INFO  : KNIME-Worker-4 : LocalNodeExecutionJob : Dense Layer : 2:64:58 : Dense Layer 2:64:58 End execute (0 secs)
2017-04-29 13:04:51,572 : DEBUG : KNIME-Worker-4 : WorkflowManager : Dense Layer : 2:64:58 : Dense Layer 2:64:58 doBeforePostExecution
2017-04-29 13:04:51,585 : DEBUG : KNIME-Worker-4 : NodeContainer : Dense Layer : 2:64:58 : Dense Layer 2:64:58 has new state: POSTEXECUTE
2017-04-29 13:04:51,598 : DEBUG : KNIME-Worker-4 : WorkflowManager : Dense Layer : 2:64:58 : Dense Layer 2:64:58 doAfterExecute - success
2017-04-29 13:04:51,612 : DEBUG : KNIME-Worker-4 : NodeContainer : Dense Layer : 2:64:58 : Dense Layer 2:64:58 has new state: EXECUTED
2017-04-29 13:04:51,626 : INFO  : KNIME-Worker-4 : FeedforwardClassificationLearnerNodeModel : DL4J Feedforward Learner (Classification) : 2:22 : Constructed network recognized as: DEEPCONVOLUTIONAL
2017-04-29 13:04:51,639 : DEBUG : KNIME-Worker-4 : DL4J Feedforward Learner (Classification) : DL4J Feedforward Learner (Classification) : 2:22 : Configure succeeded. (DL4J Feedforward Learner (Classification))
2017-04-29 13:04:51,652 : DEBUG : KNIME-Worker-4 : NodeContainer : Dense Layer : 2:64:58 : DL4J Feedforward Learner (Classification) 2:22 has new state: CONFIGURED_QUEUED
2017-04-29 13:04:51,664 : DEBUG : KNIME-Worker-4 : NodeContainer : Dense Layer : 2:64:58 : AlexNet 2:64 has new state: EXECUTED
2017-04-29 13:04:51,676 : DEBUG : KNIME-Worker-5 : WorkflowManager : DL4J Feedforward Learner (Classification) : 2:22 : DL4J Feedforward Learner (Classification) 2:22 doBeforePreExecution
2017-04-29 13:04:51,689 : DEBUG : KNIME-Worker-5 : NodeContainer : DL4J Feedforward Learner (Classification) : 2:22 : DL4J Feedforward Learner (Classification) 2:22 has new state: PREEXECUTE
2017-04-29 13:04:51,701 : DEBUG : KNIME-Worker-5 : WorkflowManager : DL4J Feedforward Learner (Classification) : 2:22 : DL4J Feedforward Learner (Classification) 2:22 doBeforeExecution
2017-04-29 13:04:51,714 : DEBUG : KNIME-Worker-5 : NodeContainer : DL4J Feedforward Learner (Classification) : 2:22 : DL4J Feedforward Learner (Classification) 2:22 has new state: EXECUTING
2017-04-29 13:04:51,726 : DEBUG : KNIME-Worker-5 : WorkflowFileStoreHandlerRepository : DL4J Feedforward Learner (Classification) : 2:22 : Adding handler f7b54081-fccf-470c-9981-9ea9dfb5fe5c (DL4J Feedforward Learner (Classification) 2:22: <no directory>) - 20 in total
2017-04-29 13:04:51,737 : DEBUG : KNIME-Worker-5 : LocalNodeExecutionJob : DL4J Feedforward Learner (Classification) : 2:22 : DL4J Feedforward Learner (Classification) 2:22 Start execute
2017-04-29 13:04:51,812 : DEBUG : KNIME-Worker-5 : Buffer : DL4J Feedforward Learner (Classification) : 2:22 : Opening input stream on file "C:\Users\Aaron\AppData\Local\Temp\knime_13_Celebrity_De13568\knime_container_20170429_6729599225171024963.bin.gz", 1 open streams
2017-04-29 13:04:51,825 : DEBUG : KNIME-Worker-5 : Buffer : DL4J Feedforward Learner (Classification) : 2:22 : Opening input stream on file "C:\Users\Aaron\AppData\Local\Temp\knime_13_Celebrity_De13568\knime_container_20170429_6729599225171024963.bin.gz", 2 open streams
2017-04-29 13:04:51,838 : DEBUG : KNIME-Worker-5 : WriteFileStoreHandler : DL4J Feedforward Learner (Classification) : 2:22 : Assigning temp directory to file store "8968f332-d28f-4969-b4cf-6e3247b10b23 (Image Calculator: C:\Users\Aaron\AppData\Local\Temp\knime_13_Celebrity_De13568\knime_fs-Image_Calculator-13569)"
2017-04-29 13:04:51,848 : DEBUG : KNIME-Worker-5 : WriteFileStoreHandler : DL4J Feedforward Learner (Classification) : 2:22 : Restoring file store directory "8968f332-d28f-4969-b4cf-6e3247b10b23 (Image Calculator: C:\Users\Aaron\AppData\Local\Temp\knime_13_Celebrity_De13568\knime_fs-Image_Calculator-13569)" from "C:\Users\Aaron\knime-workspace2\Example Workflows\13_Celebrity_Detection_Using_Alex_Net\Read and Pre (#77)\Image Calculator (#73)\filestore"
2017-04-29 13:05:07,272 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : Available externalizers used to write objects:
2017-04-29 13:05:07,281 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=Named;id=NamedExt0;extClass=NamedExt0
2017-04-29 13:05:07,288 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=Object;id=ObjectExt0;extClass=ObjectExt0
2017-04-29 13:05:07,295 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=ImgView;id=ImgViewExt0;extClass=ImgViewExt0
2017-04-29 13:05:07,301 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=LabelingCellMetadata;id=LabelingCellMetadataExt1;extClass=LabelingCellMetadataExt1
2017-04-29 13:05:07,306 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=PlanarImg;id=PlanarImgExt1;extClass=PlanarImgExt1
2017-04-29 13:05:07,312 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=DefaultLabelingColorTable;id=DefaultLabelingColorTableExt0;extClass=DefaultLabelingColorTableExt0
2017-04-29 13:05:07,317 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=BufferedImage;id=BufferedImageExt0;extClass=BufferedImageExt0
2017-04-29 13:05:07,322 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=AbstractImg;id=AbstractImgExt0;extClass=AbstractImgExt0
2017-04-29 13:05:07,329 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=ArrayImg;id=ArrayImgExt1;extClass=ArrayImgExt1
2017-04-29 13:05:07,335 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=ImgPlusCellMetadata;id=ImgPlusCellMetadataExt0;extClass=ImgPlusCellMetadataExt0
2017-04-29 13:05:07,340 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=Sourced;id=SourcedExt0;extClass=SourcedExt0
2017-04-29 13:05:07,344 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=LabelingView;id=LabelingViewExt2;extClass=LabelingViewExt2
2017-04-29 13:05:07,348 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=CalibratedAxisSpace;id=CalibratedSpaceExt0;extClass=CalibratedSpaceExt0
2017-04-29 13:05:07,363 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=NtreeImg;id=NtreeImgExt0;extClass=NtreeImgExt0
2017-04-29 13:05:07,367 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=ImgPlusMetadata;id=ImgMetadataExt1;extClass=ImgMetadataExt1
2017-04-29 13:05:07,370 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=ImageMetadata;id=ImageMetadataExt2;extClass=ImageMetadataExt2
2017-04-29 13:05:07,374 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=Img;id=ImgExt3;extClass=ImgExt3
2017-04-29 13:05:07,377 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=Class;id=ClassExt0;extClass=ClassExt0
2017-04-29 13:05:07,380 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=DefaultLinearSpace;id=DefaultLinearSpaceExt0;extClass=DefaultLinearSpaceExt0
2017-04-29 13:05:07,383 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=CellImg;id=CellImgExt1;extClass=CellImgExt1
2017-04-29 13:05:07,387 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=LabelingMetadata;id=LabelingMetadata;extClass=LabelingMetadataExt0
2017-04-29 13:05:07,390 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=LabelingView;id=LabelingViewExt1;extClass=LabelingViewExt1
2017-04-29 13:05:07,393 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=ImgLabeling;id=ImgLabelingExt0;extClass=ImgLabelingExt0
2017-04-29 13:05:07,396 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=LabelingMapping;id=LabelingMappingExt0;extClass=LabelingMappingExt0
2017-04-29 13:05:07,399 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : Available externalizers used to read objects:
2017-04-29 13:05:07,402 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=Img;id=ImgExt1;extClass=ImgExt1
2017-04-29 13:05:07,406 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=Img;id=ImgExt0;extClass=ImgExt0
2017-04-29 13:05:07,409 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=CalibratedAxisSpace;id=CalibratedSpaceExt0;extClass=CalibratedSpaceExt0
2017-04-29 13:05:07,412 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=Img;id=ImgExt3;extClass=ImgExt3
2017-04-29 13:05:07,415 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=NtreeImg;id=NtreeImgExt0;extClass=NtreeImgExt0
2017-04-29 13:05:07,419 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=Named;id=NamedExt0;extClass=NamedExt0
2017-04-29 13:05:07,422 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=Img;id=ImgExt2;extClass=ImgExt2
2017-04-29 13:05:07,426 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=ImageMetadata;id=ImageMetadataExt2;extClass=ImageMetadataExt2
2017-04-29 13:05:07,429 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=ImageMetadata;id=ImageMetadataExt1;extClass=ImageMetadataExt1
2017-04-29 13:05:07,432 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=DefaultLinearSpace;id=DefaultLinearSpaceExt0;extClass=DefaultLinearSpaceExt0
2017-04-29 13:05:07,435 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=ImageMetadata;id=ImageMetadataExt0;extClass=ImageMetadataExt0
2017-04-29 13:05:07,438 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=Object;id=ObjectExt0;extClass=ObjectExt0
2017-04-29 13:05:07,442 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=LabelingMapping;id=LabelingMappingExt0;extClass=LabelingMappingExt0
2017-04-29 13:05:07,445 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=ImgLabeling;id=NativeImgLabelingExt0;extClass=NativeImgLabelingExt0
2017-04-29 13:05:07,448 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=CellImg;id=CellImgExt1;extClass=CellImgExt1
2017-04-29 13:05:07,452 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=CellImg;id=CellImgExt0;extClass=CellImgExt0
2017-04-29 13:05:07,455 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=DefaultLabelingColorTable;id=DefaultLabelingColorTableExt0;extClass=DefaultLabelingColorTableExt0
2017-04-29 13:05:07,459 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=Sourced;id=SourcedExt0;extClass=SourcedExt0
2017-04-29 13:05:07,463 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=LabelingView;id=LabelingViewExt1;extClass=LabelingViewExt1
2017-04-29 13:05:07,467 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=Object;id=LabelingViewExt0;extClass=LabelingViewExt0
2017-04-29 13:05:07,475 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=LabelingView;id=LabelingViewExt2;extClass=LabelingViewExt2
2017-04-29 13:05:07,478 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=ImgPlusCellMetadata;id=ImgPlusCellMetadataExt0;extClass=ImgPlusCellMetadataExt0
2017-04-29 13:05:07,482 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=LabelingCellMetadata;id=LabelingCellMetadataExt0;extClass=LabelingCellMetadataExt0
2017-04-29 13:05:07,486 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=Object;id=BaseObjectExt0;extClass=BaseObjectExt0
2017-04-29 13:05:07,489 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=LabelingCellMetadata;id=LabelingCellMetadataExt1;extClass=LabelingCellMetadataExt1
2017-04-29 13:05:07,492 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=AbstractImg;id=AbstractImgExt0;extClass=AbstractImgExt0
2017-04-29 13:05:07,496 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=BufferedImage;id=BufferedImageExt0;extClass=BufferedImageExt0
2017-04-29 13:05:07,499 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=ImgView;id=ImgViewExt0;extClass=ImgViewExt0
2017-04-29 13:05:07,503 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=ImgLabeling;id=ImgLabelingExt0;extClass=ImgLabelingExt0
2017-04-29 13:05:07,507 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=ImgLabeling;id=LabelingView;extClass=LabelingExt0
2017-04-29 13:05:07,510 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=ArrayImg;id=ArrayImgExt1;extClass=ArrayImgExt1
2017-04-29 13:05:07,514 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=ArrayImg;id=ArrayImgExt0;extClass=ArrayImgExt0
2017-04-29 13:05:07,518 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=ImgPlusMetadata;id=ImgMetadataExt1;extClass=ImgMetadataExt1
2017-04-29 13:05:07,521 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=Class;id=ClassExt0;extClass=ClassExt0
2017-04-29 13:05:07,525 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=ImgPlusMetadata;id=ImgMetadataExt0;extClass=ImgMetadataExt0
2017-04-29 13:05:07,528 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=LabelingMetadata;id=LabelingMetadata;extClass=LabelingMetadataExt0
2017-04-29 13:05:07,532 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=PlanarImg;id=PlanarImgExt1;extClass=PlanarImgExt1
2017-04-29 13:05:07,536 : DEBUG : KNIME-Worker-5 : ExternalizerManager : DL4J Feedforward Learner (Classification) : 2:22 : --- type=PlanarImg;id=PlanarImgExt0;extClass=PlanarImgExt0
2017-04-29 13:05:07,562 : DEBUG : KNIME-Worker-5 : Buffer : DL4J Feedforward Learner (Classification) : 2:22 : Opening input stream on file "C:\Users\Aaron\AppData\Local\Temp\knime_13_Celebrity_De13568\knime_container_20170429_6729599225171024963.bin.gz", 3 open streams
2017-04-29 13:05:15,798 : DEBUG : main : NodeContainerEditPart :  :  : DL4J Feedforward Learner (Classification) 2:22 (EXECUTING)
2017-04-29 13:05:19,667 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:19,677 : DEBUG : Finalizer : Buffer :  :  : Closing input stream on "C:\Users\Aaron\AppData\Local\Temp\knime_13_Celebrity_De13568\knime_container_20170429_6729599225171024963.bin.gz", 2 remaining
2017-04-29 13:05:19,683 : DEBUG : Finalizer : Buffer :  :  : Closing input stream on "C:\Users\Aaron\AppData\Local\Temp\knime_13_Celebrity_De13568\knime_container_20170429_6729599225171024963.bin.gz", 1 remaining
2017-04-29 13:05:20,020 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:20,277 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:20,547 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:20,800 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:21,053 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:21,307 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:21,561 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:21,943 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:22,197 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:22,451 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:22,701 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:22,953 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:23,205 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:23,463 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:23,716 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:23,968 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:24,220 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:24,478 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:24,730 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:24,984 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:25,239 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:25,495 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:25,747 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:26,001 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:26,256 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:26,513 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:26,765 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:27,025 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:27,278 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:27,535 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:27,841 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:28,105 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:28,360 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:28,615 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:31,579 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:31,650 : INFO  : KNIME-Worker-5 : FeedforwardClassificationLearnerNodeModel : DL4J Feedforward Learner (Classification) : 2:22 : Do Backpropagation for 10 epochs.
2017-04-29 13:05:31,925 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:32,216 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:32,508 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:32,766 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:33,023 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:33,301 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:33,614 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:33,878 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:34,135 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:34,395 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:34,475 : DEBUG : KNIME-Worker-5 : DL4J Feedforward Learner (Classification) : DL4J Feedforward Learner (Classification) : 2:22 : reset
2017-04-29 13:05:34,479 : ERROR : KNIME-Worker-5 : DL4J Feedforward Learner (Classification) : DL4J Feedforward Learner (Classification) : 2:22 : Execute failed: ("NullPointerException"): null
2017-04-29 13:05:34,484 : DEBUG : KNIME-Worker-5 : DL4J Feedforward Learner (Classification) : DL4J Feedforward Learner (Classification) : 2:22 : Execute failed: ("NullPointerException"): null
java.lang.NullPointerException
	at org.nd4j.jita.memory.impl.CudaDirectProvider.malloc(CudaDirectProvider.java:89)
	at org.nd4j.jita.memory.impl.CudaCachingZeroProvider.malloc(CudaCachingZeroProvider.java:116)
	at org.nd4j.jita.memory.impl.CudaFullCachingProvider.malloc(CudaFullCachingProvider.java:74)
	at org.nd4j.jita.handler.impl.CudaZeroHandler.alloc(CudaZeroHandler.java:253)
	at org.nd4j.jita.allocator.impl.AtomicAllocator.allocateMemory(AtomicAllocator.java:381)
	at org.nd4j.jita.allocator.impl.AtomicAllocator.allocateMemory(AtomicAllocator.java:338)
	at org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer.<init>(BaseCudaDataBuffer.java:144)
	at org.nd4j.linalg.jcublas.buffer.CudaFloatDataBuffer.<init>(CudaFloatDataBuffer.java:59)
	at org.nd4j.linalg.jcublas.buffer.factory.CudaDataBufferFactory.createFloat(CudaDataBufferFactory.java:251)
	at org.nd4j.linalg.factory.Nd4j.createBuffer(Nd4j.java:1277)
	at org.nd4j.linalg.factory.Nd4j.createBuffer(Nd4j.java:1252)
	at org.nd4j.linalg.api.ndarray.BaseNDArray.<init>(BaseNDArray.java:249)
	at org.nd4j.linalg.api.ndarray.BaseNDArray.<init>(BaseNDArray.java:286)
	at org.nd4j.linalg.api.ndarray.BaseNDArray.<init>(BaseNDArray.java:563)
	at org.nd4j.linalg.jcublas.JCublasNDArray.<init>(JCublasNDArray.java:258)
	at org.nd4j.linalg.jcublas.JCublasNDArrayFactory.create(JCublasNDArrayFactory.java:224)
	at org.nd4j.linalg.factory.Nd4j.create(Nd4j.java:4369)
	at org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingLayer.activate(SubsamplingLayer.java:223)
	at org.deeplearning4j.nn.layers.BaseLayer.activate(BaseLayer.java:385)
	at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.activationFromPrevLayer(MultiLayerNetwork.java:552)
	at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.feedForwardToLayer(MultiLayerNetwork.java:675)
	at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.computeGradientAndScore(MultiLayerNetwork.java:1820)
	at org.deeplearning4j.optimize.solvers.BaseOptimizer.gradientAndScore(BaseOptimizer.java:152)
	at org.deeplearning4j.optimize.solvers.StochasticGradientDescent.optimize(StochasticGradientDescent.java:54)
	at org.deeplearning4j.optimize.Solver.optimize(Solver.java:51)
	at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.fit(MultiLayerNetwork.java:1453)
	at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.fit(MultiLayerNetwork.java:1490)
	at org.knime.ext.dl4j.base.nodes.learn.AbstractDLLearnerNodeModel.backpropOneEpoch(AbstractDLLearnerNodeModel.java:307)
	at org.knime.ext.dl4j.base.nodes.learn.feedforward.classification.FeedforwardClassificationLearnerNodeModel.trainNetwork(FeedforwardClassificationLearnerNodeModel.java:367)
	at org.knime.ext.dl4j.base.nodes.learn.feedforward.classification.FeedforwardClassificationLearnerNodeModel.execute(FeedforwardClassificationLearnerNodeModel.java:186)
	at org.knime.ext.dl4j.base.nodes.learn.feedforward.classification.FeedforwardClassificationLearnerNodeModel.execute(FeedforwardClassificationLearnerNodeModel.java:1)
	at org.knime.core.node.NodeModel.executeModel(NodeModel.java:566)
	at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1128)
	at org.knime.core.node.Node.execute(Node.java:915)
	at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:561)
	at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:95)
	at org.knime.core.node.workflow.NodeExecutionJob.internalRun(NodeExecutionJob.java:179)
	at org.knime.core.node.workflow.NodeExecutionJob.run(NodeExecutionJob.java:110)
	at org.knime.core.util.ThreadUtils$RunnableWithContextImpl.runWithContext(ThreadUtils.java:328)
	at org.knime.core.util.ThreadUtils$RunnableWithContext.run(ThreadUtils.java:204)
	at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
	at java.util.concurrent.FutureTask.run(FutureTask.java:266)
	at org.knime.core.util.ThreadPool$MyFuture.run(ThreadPool.java:123)
	at org.knime.core.util.ThreadPool$Worker.run(ThreadPool.java:246)
2017-04-29 13:05:34,670 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:34,670 : DEBUG : Finalizer : Buffer :  :  : Closing input stream on "C:\Users\Aaron\AppData\Local\Temp\knime_13_Celebrity_De13568\knime_container_20170429_6729599225171024963.bin.gz", 0 remaining
2017-04-29 13:05:34,671 : DEBUG : KNIME-Worker-5 : WorkflowManager : DL4J Feedforward Learner (Classification) : 2:22 : DL4J Feedforward Learner (Classification) 2:22 doBeforePostExecution
2017-04-29 13:05:34,701 : DEBUG : KNIME-Worker-5 : NodeContainer : DL4J Feedforward Learner (Classification) : 2:22 : DL4J Feedforward Learner (Classification) 2:22 has new state: POSTEXECUTE
2017-04-29 13:05:34,702 : DEBUG : main : NodeContainerEditPart :  :  : DL4J Feedforward Learner (Classification) 2:22 (POSTEXECUTE)
2017-04-29 13:05:34,711 : DEBUG : KNIME-Worker-5 : WorkflowManager : DL4J Feedforward Learner (Classification) : 2:22 : DL4J Feedforward Learner (Classification) 2:22 doAfterExecute - failure
2017-04-29 13:05:34,733 : DEBUG : KNIME-Worker-5 : DL4J Feedforward Learner (Classification) : DL4J Feedforward Learner (Classification) : 2:22 : reset
2017-04-29 13:05:34,745 : DEBUG : KNIME-Worker-5 : DL4J Feedforward Learner (Classification) : DL4J Feedforward Learner (Classification) : 2:22 : clean output ports.
2017-04-29 13:05:34,756 : DEBUG : KNIME-Worker-5 : WorkflowFileStoreHandlerRepository : DL4J Feedforward Learner (Classification) : 2:22 : Removing handler f7b54081-fccf-470c-9981-9ea9dfb5fe5c (DL4J Feedforward Learner (Classification) 2:22: <no directory>) - 19 remaining
2017-04-29 13:05:34,768 : DEBUG : KNIME-Worker-5 : NodeContainer : DL4J Feedforward Learner (Classification) : 2:22 : DL4J Feedforward Learner (Classification) 2:22 has new state: IDLE
2017-04-29 13:05:34,780 : INFO  : KNIME-Worker-5 : FeedforwardClassificationLearnerNodeModel : DL4J Feedforward Learner (Classification) : 2:22 : Constructed network recognized as: DEEPCONVOLUTIONAL
2017-04-29 13:05:35,012 : DEBUG : KNIME-Worker-5 : DL4J Feedforward Learner (Classification) : DL4J Feedforward Learner (Classification) : 2:22 : Configure succeeded. (DL4J Feedforward Learner (Classification))
2017-04-29 13:05:35,012 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:35,024 : DEBUG : KNIME-Worker-5 : NodeContainer : DL4J Feedforward Learner (Classification) : 2:22 : DL4J Feedforward Learner (Classification) 2:22 has new state: CONFIGURED
2017-04-29 13:05:35,047 : DEBUG : KNIME-Worker-5 : DL4J Feedforward Predictor (Classification) : DL4J Feedforward Predictor (Classification) : 2:75 : Configure succeeded. (DL4J Feedforward Predictor (Classification))
2017-04-29 13:05:35,057 : DEBUG : KNIME-Worker-5 : NodeContainer : DL4J Feedforward Learner (Classification) : 2:22 : 13_Celebrity_Detection_Using_Alex_Net 2 has new state: IDLE
2017-04-29 13:05:35,066 : DEBUG : KNIME-WFM-Parent-Notifier : NodeContainer :  :  : ROOT  has new state: IDLE
2017-04-29 13:05:35,362 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:35,656 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:35,937 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:36,197 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:36,451 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:36,706 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:36,963 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:37,217 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run
2017-04-29 13:05:37,472 : DEBUG : Service Thread : MemoryAlertSystem :  :  : Memory usage below threshold of 0.8912729256153269 after GC run