2022-11-27 16:31:32,942 : WARN : main : : Node : File Reader : 3:1 : Please specify a file 2022-11-27 16:35:19,831 : WARN : main : : Node : GroupBy : 3:2 : No grouping column included. Aggregate complete table. 2022-11-27 16:35:19,831 : WARN : main : : Node : GroupBy : 3:2 : No aggregation column defined 2022-11-27 16:35:19,831 : WARN : main : : Node : GroupBy : 3:2 : No aggregation column defined 2022-11-27 16:35:19,831 : WARN : main : : Node : GroupBy : 3:2 : Please select at least one group or aggregation column 2022-11-27 16:35:58,649 : WARN : main : : Node : GroupBy : 3:2 : No aggregation column defined 2022-11-27 16:35:58,649 : WARN : main : : Node : GroupBy : 3:2 : No aggregation column defined 2022-11-27 16:35:59,171 : WARN : main : : Node : GroupBy : 3:2 : No aggregation column defined 2022-11-27 16:35:59,171 : WARN : main : : Node : GroupBy : 3:2 : No aggregation column defined 2022-11-27 16:38:28,820 : WARN : main : : Node : String Manipulation : 3:3 : No expression has been set. 2022-11-27 16:40:39,901 : WARN : main : : Node : GroupBy : 3:2 : No aggregation column defined 2022-11-27 16:40:39,902 : WARN : main : : Node : GroupBy : 3:2 : No aggregation column defined 2022-11-27 16:40:40,169 : WARN : main : : Node : GroupBy : 3:2 : No aggregation column defined 2022-11-27 16:40:40,170 : WARN : main : : Node : GroupBy : 3:2 : No aggregation column defined 2022-11-27 16:40:43,146 : WARN : KNIME-Worker-6-String Manipulation 3:3 : : Node : GroupBy : 3:2 : No aggregation column defined 2022-11-27 16:40:43,147 : WARN : KNIME-Worker-6-String Manipulation 3:3 : : Node : GroupBy : 3:2 : No aggregation column defined 2022-11-27 17:21:05,035 : WARN : main : : WrappedNodeDialog : GroupBy : 3:2 : failed to apply settings: Duplicate column names: Count. Not possible with 'Keep original name(s)' option org.knime.core.node.InvalidSettingsException: Duplicate column names: Count. Not possible with 'Keep original name(s)' option at org.knime.base.node.preproc.groupby.GroupByNodeModel.validateSettings(GroupByNodeModel.java:428) at org.knime.core.node.Node.validateModelSettings(Node.java:692) at org.knime.core.node.workflow.NativeNodeContainer.performValidateSettings(NativeNodeContainer.java:1184) at org.knime.core.node.workflow.SingleNodeContainer.validateSettings(SingleNodeContainer.java:1000) at org.knime.core.node.workflow.WorkflowManager.loadNodeSettings(WorkflowManager.java:2045) at org.knime.core.node.workflow.NodeContainer.applySettingsFromDialog(NodeContainer.java:1118) at org.knime.core.ui.wrapper.NodeContainerWrapper.applySettingsFromDialog(NodeContainerWrapper.java:264) at org.knime.workbench.ui.wrapper.WrappedNodeDialog.callApplySettingsFromDialog(WrappedNodeDialog.java:672) at org.knime.workbench.ui.wrapper.WrappedNodeDialog.doApply(WrappedNodeDialog.java:635) at org.knime.workbench.ui.wrapper.WrappedNodeDialog.doOK(WrappedNodeDialog.java:559) at org.knime.workbench.ui.wrapper.WrappedNodeDialog$5.widgetSelected(WrappedNodeDialog.java:495) at org.eclipse.swt.widgets.TypedListener.handleEvent(TypedListener.java:252) at org.eclipse.swt.widgets.EventTable.sendEvent(EventTable.java:89) at org.eclipse.swt.widgets.Display.sendEvent(Display.java:4209) at org.eclipse.swt.widgets.Widget.sendEvent(Widget.java:1043) at org.eclipse.swt.widgets.Display.runDeferredEvents(Display.java:4026) at org.eclipse.swt.widgets.Display.readAndDispatch(Display.java:3626) at org.eclipse.jface.window.Window.runEventLoop(Window.java:823) at org.eclipse.jface.window.Window.open(Window.java:799) at org.knime.workbench.ui.wrapper.WrappedNodeDialog.open(WrappedNodeDialog.java:199) at org.knime.workbench.editor2.editparts.NodeContainerEditPart.openDialog(NodeContainerEditPart.java:955) at org.knime.workbench.editor2.editparts.NodeContainerEditPart.openNodeDialog(NodeContainerEditPart.java:862) at org.knime.workbench.editor2.editparts.NodeContainerEditPart.openNodeDialog(NodeContainerEditPart.java:845) at org.knime.workbench.editor2.editparts.NodeContainerEditPart.openDialog(NodeContainerEditPart.java:834) at org.knime.workbench.editor2.editparts.NodeContainerEditPart.performRequest(NodeContainerEditPart.java:398) at org.eclipse.gef.tools.SelectEditPartTracker.performOpen(SelectEditPartTracker.java:194) at org.eclipse.gef.tools.SelectEditPartTracker.handleDoubleClick(SelectEditPartTracker.java:137) at org.knime.workbench.editor2.WorkflowSelectionDragEditPartsTracker.handleDoubleClick(WorkflowSelectionDragEditPartsTracker.java:126) at org.eclipse.gef.tools.AbstractTool.mouseDoubleClick(AbstractTool.java:1069) at org.eclipse.gef.tools.SelectionTool.mouseDoubleClick(SelectionTool.java:527) at org.eclipse.gef.EditDomain.mouseDoubleClick(EditDomain.java:231) at org.eclipse.gef.ui.parts.DomainEventDispatcher.dispatchMouseDoubleClicked(DomainEventDispatcher.java:291) at org.eclipse.draw2d.LightweightSystem$EventHandler.mouseDoubleClick(LightweightSystem.java:518) at org.eclipse.swt.widgets.TypedListener.handleEvent(TypedListener.java:200) at org.eclipse.swt.widgets.EventTable.sendEvent(EventTable.java:89) at org.eclipse.swt.widgets.Display.sendEvent(Display.java:4209) at org.eclipse.swt.widgets.Widget.sendEvent(Widget.java:1043) at org.eclipse.swt.widgets.Display.runDeferredEvents(Display.java:4026) at org.eclipse.swt.widgets.Display.readAndDispatch(Display.java:3626) at org.eclipse.e4.ui.internal.workbench.swt.PartRenderingEngine$5.run(PartRenderingEngine.java:1157) at org.eclipse.core.databinding.observable.Realm.runWithDefault(Realm.java:338) at org.eclipse.e4.ui.internal.workbench.swt.PartRenderingEngine.run(PartRenderingEngine.java:1046) at org.eclipse.e4.ui.internal.workbench.E4Workbench.createAndRunUI(E4Workbench.java:155) at org.eclipse.ui.internal.Workbench.lambda$3(Workbench.java:644) at org.eclipse.core.databinding.observable.Realm.runWithDefault(Realm.java:338) at org.eclipse.ui.internal.Workbench.createAndRunWorkbench(Workbench.java:551) at org.eclipse.ui.PlatformUI.createAndRunWorkbench(PlatformUI.java:156) at org.knime.product.rcp.KNIMEApplication.start(KNIMEApplication.java:188) at org.eclipse.equinox.internal.app.EclipseAppHandle.run(EclipseAppHandle.java:203) at org.eclipse.core.runtime.internal.adaptor.EclipseAppLauncher.runApplication(EclipseAppLauncher.java:134) at org.eclipse.core.runtime.internal.adaptor.EclipseAppLauncher.start(EclipseAppLauncher.java:104) at org.eclipse.core.runtime.adaptor.EclipseStarter.run(EclipseStarter.java:401) at org.eclipse.core.runtime.adaptor.EclipseStarter.run(EclipseStarter.java:255) at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(Unknown Source) at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source) at java.base/java.lang.reflect.Method.invoke(Unknown Source) at org.eclipse.equinox.launcher.Main.invokeFramework(Main.java:653) at org.eclipse.equinox.launcher.Main.basicRun(Main.java:590) at org.eclipse.equinox.launcher.Main.run(Main.java:1461) 2022-11-27 17:52:09,525 : ERROR : Clear OSGi configuration : : InvokeInstallSiteAction : : : Could not clean OSGi configuration area: C:\Users\user\.eclipse\903338280_win32_win32_x86_64\configuration\org.eclipse.osgi\123\0\.cp\os\win32\x86_64\localfile_1_0_0.dll 2022-11-29 14:43:58,688 : WARN : main : : Node : File Reader : 3:1 : Please specify a file 2022-11-29 14:48:10,325 : WARN : main : : Node : GroupBy : 3:2 : No grouping column included. Aggregate complete table. 2022-11-29 14:48:10,325 : WARN : main : : Node : GroupBy : 3:2 : No aggregation column defined 2022-11-29 14:48:10,325 : WARN : main : : Node : GroupBy : 3:2 : No aggregation column defined 2022-11-29 14:48:10,389 : WARN : main : : Node : GroupBy : 3:2 : Please select at least one group or aggregation column 2022-11-29 14:54:21,896 : WARN : ModalContext : : WorkflowManager : : : Unable to insert connection "[15(1) -> 16( 1)]" 2022-11-29 14:54:21,904 : WARN : ModalContext : : Node : MISSING Keras Input Layer : 4:15 : Node can't be executed - Node "Keras Input Layer" not available from extension "KNIME Deep Learning - Keras Integration" (provided by "KNIME AG, Zurich, Switzerland"; plugin "org.knime.dl.keras" is not installed) 2022-11-29 14:54:22,009 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Errors during load: Status: DataLoadError: Simple_neural_network_for_binary_classification.knwf 4 loaded with error during data load 2022-11-29 14:54:22,009 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Simple_neural_network_for_binary_classification.knwf 4 2022-11-29 14:54:22,009 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: Error: Node "Keras Input Layer" not available from extension "KNIME Deep Learning - Keras Integration" (provided by "KNIME AG, Zurich, Switzerland"; plugin "org.knime.dl.keras" is not installed) 2022-11-29 14:54:22,009 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: Error: Node "Keras Dense Layer" not available from extension "KNIME Deep Learning - Keras Integration" (provided by "KNIME AG, Zurich, Switzerland"; plugin "org.knime.dl.keras" is not installed) 2022-11-29 14:54:22,009 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: Error: Node "Keras Dense Layer" not available from extension "KNIME Deep Learning - Keras Integration" (provided by "KNIME AG, Zurich, Switzerland"; plugin "org.knime.dl.keras" is not installed) 2022-11-29 14:54:22,010 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: Error: Node "Keras Network Learner" not available from extension "KNIME Deep Learning - Keras Integration" (provided by "KNIME AG, Zurich, Switzerland"; plugin "org.knime.dl.keras" is not installed) 2022-11-29 14:54:22,010 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: Error: Node "Keras Network Executor" not available from extension "KNIME Deep Learning - Keras Integration" (provided by "KNIME AG, Zurich, Switzerland"; plugin "org.knime.dl.keras" is not installed) 2022-11-29 14:54:22,010 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: Error: Unable to insert connection "[15(1) -> 16( 1)]" 2022-11-29 14:54:22,010 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: CSV Reader 4:1 2022-11-29 14:54:22,010 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Unable to load port content for node "CSV Reader": No such data file: C:\Users\user\AppData\Local\Temp\knime_temp_space_user_23436\Simple_neural_network_for_binary_classification.knwf23439\C\Users\user\AppData\Local\Temp\knime_download23438\Simple_neural_network_for_binary_classification.knwf\CSV Reader (#1)\port_1\data.xml 2022-11-29 14:54:22,010 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: State has changed from EXECUTED to CONFIGURED 2022-11-29 14:54:22,010 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: MISSING Keras Input Layer 4:15 2022-11-29 14:54:22,010 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Unable to load port content for node "MISSING Keras Input Layer": Invalid spec class "org.knime.dl.keras.base.portobjects.DLKerasUnmaterializedNetworkPortObjectSpec" 2022-11-29 14:54:22,010 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: State has changed from EXECUTED to IDLE 2022-11-29 14:54:22,011 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: MISSING Keras Dense Layer 4:16 2022-11-29 14:54:22,011 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Unable to load port content for node "MISSING Keras Dense Layer": Invalid spec class "org.knime.dl.keras.base.portobjects.DLKerasUnmaterializedNetworkPortObjectSpec" 2022-11-29 14:54:22,011 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: State has changed from EXECUTED to IDLE 2022-11-29 14:54:22,011 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Rule Engine 4:18 2022-11-29 14:54:22,011 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Unable to load port content for node "Rule Engine": No such data file: C:\Users\user\AppData\Local\Temp\knime_temp_space_user_23436\Simple_neural_network_for_binary_classification.knwf23439\C\Users\user\AppData\Local\Temp\knime_download23438\Simple_neural_network_for_binary_classification.knwf\Rule Engine (#18)\port_1\data.xml 2022-11-29 14:54:22,011 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: MISSING Keras Dense Layer 4:17 2022-11-29 14:54:22,011 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Unable to load port content for node "MISSING Keras Dense Layer": Invalid spec class "org.knime.dl.keras.base.portobjects.DLKerasUnmaterializedNetworkPortObjectSpec" 2022-11-29 14:54:22,011 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Partitioning 4:19 2022-11-29 14:54:22,011 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Unable to load port content for node "Partitioning": No such data file: C:\Users\user\AppData\Local\Temp\knime_temp_space_user_23436\Simple_neural_network_for_binary_classification.knwf23439\C\Users\user\AppData\Local\Temp\knime_download23438\Simple_neural_network_for_binary_classification.knwf\Partitioning (#19)\port_1\data.xml 2022-11-29 14:54:22,011 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Normalizer 4:21 2022-11-29 14:54:22,011 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Unable to load port content for node "Normalizer": No such data file: C:\Users\user\AppData\Local\Temp\knime_temp_space_user_23436\Simple_neural_network_for_binary_classification.knwf23439\C\Users\user\AppData\Local\Temp\knime_download23438\Simple_neural_network_for_binary_classification.knwf\Normalizer (#21)\port_1\data.xml 2022-11-29 14:54:22,011 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Normalizer (Apply) 4:22 2022-11-29 14:54:22,012 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Unable to load port content for node "Normalizer (Apply)": No such data file: C:\Users\user\AppData\Local\Temp\knime_temp_space_user_23436\Simple_neural_network_for_binary_classification.knwf23439\C\Users\user\AppData\Local\Temp\knime_download23438\Simple_neural_network_for_binary_classification.knwf\Normalizer _Apply_ (#22)\port_1\data.xml 2022-11-29 14:54:22,012 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Partitioning 4:20 2022-11-29 14:54:22,012 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Unable to load port content for node "Partitioning": No such data file: C:\Users\user\AppData\Local\Temp\knime_temp_space_user_23436\Simple_neural_network_for_binary_classification.knwf23439\C\Users\user\AppData\Local\Temp\knime_download23438\Simple_neural_network_for_binary_classification.knwf\Partitioning (#20)\port_1\data.xml 2022-11-29 14:54:22,012 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: MISSING Keras Network Learner 4:24 2022-11-29 14:54:22,012 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Unable to load port content for node "MISSING Keras Network Learner": Invalid spec class "org.knime.dl.keras.base.portobjects.DLKerasNetworkPortObjectSpec" 2022-11-29 14:54:22,012 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: MISSING Keras Network Executor 4:26 2022-11-29 14:54:22,012 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Unable to load port content for node "MISSING Keras Network Executor": No such data file: C:\Users\user\AppData\Local\Temp\knime_temp_space_user_23436\Simple_neural_network_for_binary_classification.knwf23439\C\Users\user\AppData\Local\Temp\knime_download23438\Simple_neural_network_for_binary_classification.knwf\Keras Network Executor (#26)\port_1\data.xml 2022-11-29 14:54:22,012 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Rule Engine 4:23 2022-11-29 14:54:22,012 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Unable to load port content for node "Rule Engine": No such data file: C:\Users\user\AppData\Local\Temp\knime_temp_space_user_23436\Simple_neural_network_for_binary_classification.knwf23439\C\Users\user\AppData\Local\Temp\knime_download23438\Simple_neural_network_for_binary_classification.knwf\Rule Engine (#23)\port_1\data.xml 2022-11-29 14:54:22,012 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Scorer 4:25 2022-11-29 14:54:22,012 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Unable to load port content for node "Scorer": No such data file: C:\Users\user\AppData\Local\Temp\knime_temp_space_user_23436\Simple_neural_network_for_binary_classification.knwf23439\C\Users\user\AppData\Local\Temp\knime_download23438\Simple_neural_network_for_binary_classification.knwf\Scorer (#25)\port_1\data.xml 2022-11-29 14:54:22,012 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Loading model internals failed: C:\Users\user\AppData\Local\Temp\knime_temp_space_user_23436\Simple_neural_network_for_binary_classification.knwf23439\C\Users\user\AppData\Local\Temp\knime_download23438\Simple_neural_network_for_binary_classification.knwf\Scorer (#25)\internal\internals.xml.gz (The system cannot find the path specified) 2022-11-29 14:54:22,013 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: State has changed from EXECUTED to IDLE 2022-11-30 14:22:11,461 : ERROR : KNIME-Worker-10-Keras Network Learner 3:24 : : Node : Keras Network Learner : 3:24 : Execute failed: An error occurred while creating the Keras network from its layer specifications. Details: Deep learning Python back end installation tests failed. Cause: Python library 'tensorflow' or one of its dependencies is missing. Python library 'keras' or one of its dependencies is missing. In case Python packages are missing: you can create a new Python Conda environment that contains all packages required by the KNIME deep learning integrations in the "KNIME Deep Learning" Preferences. java.io.IOException: An error occurred while creating the Keras network from its layer specifications. Details: Deep learning Python back end installation tests failed. Cause: Python library 'tensorflow' or one of its dependencies is missing. Python library 'keras' or one of its dependencies is missing. In case Python packages are missing: you can create a new Python Conda environment that contains all packages required by the KNIME deep learning integrations in the "KNIME Deep Learning" Preferences. at org.knime.dl.keras.base.portobjects.DLKerasUnmaterializedPortObjectContent.materialize(DLKerasUnmaterializedPortObjectContent.java:113) at org.knime.dl.keras.base.portobjects.DLKerasUnmaterializedNetworkPortObject.getNetwork(DLKerasUnmaterializedNetworkPortObject.java:133) at org.knime.dl.keras.base.portobjects.DLKerasUnmaterializedNetworkPortObject.getNetwork(DLKerasUnmaterializedNetworkPortObject.java:1) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:643) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.execute(DLKerasLearnerNodeModel.java:320) at org.knime.core.node.NodeModel.executeModel(NodeModel.java:549) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1267) at org.knime.core.node.Node.execute(Node.java:1041) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:95) at org.knime.core.node.workflow.NodeExecutionJob.internalRun(NodeExecutionJob.java:201) at org.knime.core.node.workflow.NodeExecutionJob.run(NodeExecutionJob.java:117) at org.knime.core.util.ThreadUtils$RunnableWithContextImpl.runWithContext(ThreadUtils.java:367) at org.knime.core.util.ThreadUtils$RunnableWithContext.run(ThreadUtils.java:221) at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at org.knime.core.util.ThreadPool$MyFuture.run(ThreadPool.java:123) at org.knime.core.util.ThreadPool$Worker.run(ThreadPool.java:246) Caused by: org.knime.dl.core.DLInvalidEnvironmentException: Deep learning Python back end installation tests failed. Cause: Python library 'tensorflow' or one of its dependencies is missing. Python library 'keras' or one of its dependencies is missing. In case Python packages are missing: you can create a new Python Conda environment that contains all packages required by the KNIME deep learning integrations in the "KNIME Deep Learning" Preferences. at org.knime.dl.keras.core.layers.DLKerasNetworkMaterializer.materialize(DLKerasNetworkMaterializer.java:142) at org.knime.dl.keras.base.portobjects.DLKerasUnmaterializedPortObjectContent.materialize(DLKerasUnmaterializedPortObjectContent.java:107) ... 17 more Caused by: org.knime.dl.core.DLMissingDependencyException: Deep learning Python back end installation tests failed. Cause: Python library 'tensorflow' or one of its dependencies is missing. Python library 'keras' or one of its dependencies is missing. In case Python packages are missing: you can create a new Python Conda environment that contains all packages required by the KNIME deep learning integrations in the "KNIME Deep Learning" Preferences. at org.knime.dl.python.core.DLPythonAbstractNetworkLoader$DLPythonInstallationTester$InstallationTestCallable.call(DLPythonAbstractNetworkLoader.java:182) at org.knime.dl.python.core.DLPythonAbstractNetworkLoader$DLPythonInstallationTester$InstallationTestCallable.call(DLPythonAbstractNetworkLoader.java:1) at org.knime.core.util.ThreadUtils$CallableWithContextImpl.callWithContext(ThreadUtils.java:383) at org.knime.core.util.ThreadUtils$CallableWithContext.call(ThreadUtils.java:269) ... 3 more Caused by: org.knime.dl.core.DLInvalidEnvironmentException: Deep learning Python back end installation tests failed. Cause: Python library 'tensorflow' or one of its dependencies is missing. Python library 'keras' or one of its dependencies is missing. at org.knime.dl.python.core.DLPythonAbstractCommands.testInstallation(DLPythonAbstractCommands.java:299) at org.knime.dl.python.core.DLPythonAbstractNetworkLoader$DLPythonInstallationTester$InstallationTestCallable.call(DLPythonAbstractNetworkLoader.java:173) ... 6 more 2022-11-30 14:22:50,537 : ERROR : KNIME-Worker-8-Keras Network Learner 3:24 : : Node : Keras Network Learner : 3:24 : Execute failed: An error occurred while creating the Keras network from its layer specifications. Details: Deep learning Python back end installation tests failed. Cause: Python library 'tensorflow' or one of its dependencies is missing. Python library 'keras' or one of its dependencies is missing. In case Python packages are missing: you can create a new Python Conda environment that contains all packages required by the KNIME deep learning integrations in the "KNIME Deep Learning" Preferences. java.io.IOException: An error occurred while creating the Keras network from its layer specifications. Details: Deep learning Python back end installation tests failed. Cause: Python library 'tensorflow' or one of its dependencies is missing. Python library 'keras' or one of its dependencies is missing. In case Python packages are missing: you can create a new Python Conda environment that contains all packages required by the KNIME deep learning integrations in the "KNIME Deep Learning" Preferences. at org.knime.dl.keras.base.portobjects.DLKerasUnmaterializedPortObjectContent.materialize(DLKerasUnmaterializedPortObjectContent.java:113) at org.knime.dl.keras.base.portobjects.DLKerasUnmaterializedNetworkPortObject.getNetwork(DLKerasUnmaterializedNetworkPortObject.java:133) at org.knime.dl.keras.base.portobjects.DLKerasUnmaterializedNetworkPortObject.getNetwork(DLKerasUnmaterializedNetworkPortObject.java:1) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:643) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.execute(DLKerasLearnerNodeModel.java:320) at org.knime.core.node.NodeModel.executeModel(NodeModel.java:549) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1267) at org.knime.core.node.Node.execute(Node.java:1041) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:95) at org.knime.core.node.workflow.NodeExecutionJob.internalRun(NodeExecutionJob.java:201) at org.knime.core.node.workflow.NodeExecutionJob.run(NodeExecutionJob.java:117) at org.knime.core.util.ThreadUtils$RunnableWithContextImpl.runWithContext(ThreadUtils.java:367) at org.knime.core.util.ThreadUtils$RunnableWithContext.run(ThreadUtils.java:221) at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at org.knime.core.util.ThreadPool$MyFuture.run(ThreadPool.java:123) at org.knime.core.util.ThreadPool$Worker.run(ThreadPool.java:246) Caused by: org.knime.dl.core.DLInvalidEnvironmentException: Deep learning Python back end installation tests failed. Cause: Python library 'tensorflow' or one of its dependencies is missing. Python library 'keras' or one of its dependencies is missing. In case Python packages are missing: you can create a new Python Conda environment that contains all packages required by the KNIME deep learning integrations in the "KNIME Deep Learning" Preferences. at org.knime.dl.keras.core.layers.DLKerasNetworkMaterializer.materialize(DLKerasNetworkMaterializer.java:142) at org.knime.dl.keras.base.portobjects.DLKerasUnmaterializedPortObjectContent.materialize(DLKerasUnmaterializedPortObjectContent.java:107) ... 17 more Caused by: org.knime.dl.core.DLMissingDependencyException: Deep learning Python back end installation tests failed. Cause: Python library 'tensorflow' or one of its dependencies is missing. Python library 'keras' or one of its dependencies is missing. In case Python packages are missing: you can create a new Python Conda environment that contains all packages required by the KNIME deep learning integrations in the "KNIME Deep Learning" Preferences. at org.knime.dl.python.core.DLPythonAbstractNetworkLoader$DLPythonInstallationTester$InstallationTestCallable.call(DLPythonAbstractNetworkLoader.java:182) at org.knime.dl.python.core.DLPythonAbstractNetworkLoader$DLPythonInstallationTester$InstallationTestCallable.call(DLPythonAbstractNetworkLoader.java:1) at org.knime.core.util.ThreadUtils$CallableWithContextImpl.callWithContext(ThreadUtils.java:383) at org.knime.core.util.ThreadUtils$CallableWithContext.call(ThreadUtils.java:269) ... 3 more Caused by: org.knime.dl.core.DLInvalidEnvironmentException: Deep learning Python back end installation tests failed. Cause: Python library 'tensorflow' or one of its dependencies is missing. Python library 'keras' or one of its dependencies is missing. at org.knime.dl.python.core.DLPythonAbstractCommands.testInstallation(DLPythonAbstractCommands.java:299) at org.knime.dl.python.core.DLPythonAbstractNetworkLoader$DLPythonInstallationTester$InstallationTestCallable.call(DLPythonAbstractNetworkLoader.java:173) ... 6 more 2022-11-30 14:55:51,808 : ERROR : Clear OSGi configuration : : InvokeInstallSiteAction : : : Could not clean OSGi configuration area: C:\Users\user\.eclipse\903338280_win32_win32_x86_64\configuration\org.eclipse.osgi\123\0\.cp\os\win32\x86_64\localfile_1_0_0.dll 2022-11-30 14:58:16,188 : ERROR : KNIME-Worker-6-Keras Network Learner 3:24 : : Node : Keras Network Learner : 3:24 : Execute failed: An error occurred while creating the Keras network from its layer specifications. Details: Deep learning Python back end installation tests failed. Cause: Python library 'tensorflow' or one of its dependencies is missing. Python library 'keras' or one of its dependencies is missing. In case Python packages are missing: you can create a new Python Conda environment that contains all packages required by the KNIME deep learning integrations in the "KNIME Deep Learning" Preferences. java.io.IOException: An error occurred while creating the Keras network from its layer specifications. Details: Deep learning Python back end installation tests failed. Cause: Python library 'tensorflow' or one of its dependencies is missing. Python library 'keras' or one of its dependencies is missing. In case Python packages are missing: you can create a new Python Conda environment that contains all packages required by the KNIME deep learning integrations in the "KNIME Deep Learning" Preferences. at org.knime.dl.keras.base.portobjects.DLKerasUnmaterializedPortObjectContent.materialize(DLKerasUnmaterializedPortObjectContent.java:113) at org.knime.dl.keras.base.portobjects.DLKerasUnmaterializedNetworkPortObject.getNetwork(DLKerasUnmaterializedNetworkPortObject.java:133) at org.knime.dl.keras.base.portobjects.DLKerasUnmaterializedNetworkPortObject.getNetwork(DLKerasUnmaterializedNetworkPortObject.java:1) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:643) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.execute(DLKerasLearnerNodeModel.java:320) at org.knime.core.node.NodeModel.executeModel(NodeModel.java:549) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1267) at org.knime.core.node.Node.execute(Node.java:1041) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:95) at org.knime.core.node.workflow.NodeExecutionJob.internalRun(NodeExecutionJob.java:201) at org.knime.core.node.workflow.NodeExecutionJob.run(NodeExecutionJob.java:117) at org.knime.core.util.ThreadUtils$RunnableWithContextImpl.runWithContext(ThreadUtils.java:367) at org.knime.core.util.ThreadUtils$RunnableWithContext.run(ThreadUtils.java:221) at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at org.knime.core.util.ThreadPool$MyFuture.run(ThreadPool.java:123) at org.knime.core.util.ThreadPool$Worker.run(ThreadPool.java:246) Caused by: org.knime.dl.core.DLInvalidEnvironmentException: Deep learning Python back end installation tests failed. Cause: Python library 'tensorflow' or one of its dependencies is missing. Python library 'keras' or one of its dependencies is missing. In case Python packages are missing: you can create a new Python Conda environment that contains all packages required by the KNIME deep learning integrations in the "KNIME Deep Learning" Preferences. at org.knime.dl.keras.core.layers.DLKerasNetworkMaterializer.materialize(DLKerasNetworkMaterializer.java:142) at org.knime.dl.keras.base.portobjects.DLKerasUnmaterializedPortObjectContent.materialize(DLKerasUnmaterializedPortObjectContent.java:107) ... 17 more Caused by: org.knime.dl.core.DLMissingDependencyException: Deep learning Python back end installation tests failed. Cause: Python library 'tensorflow' or one of its dependencies is missing. Python library 'keras' or one of its dependencies is missing. In case Python packages are missing: you can create a new Python Conda environment that contains all packages required by the KNIME deep learning integrations in the "KNIME Deep Learning" Preferences. at org.knime.dl.python.core.DLPythonAbstractNetworkLoader$DLPythonInstallationTester$InstallationTestCallable.call(DLPythonAbstractNetworkLoader.java:182) at org.knime.dl.python.core.DLPythonAbstractNetworkLoader$DLPythonInstallationTester$InstallationTestCallable.call(DLPythonAbstractNetworkLoader.java:1) at org.knime.core.util.ThreadUtils$CallableWithContextImpl.callWithContext(ThreadUtils.java:383) at org.knime.core.util.ThreadUtils$CallableWithContext.call(ThreadUtils.java:269) ... 3 more Caused by: org.knime.dl.core.DLInvalidEnvironmentException: Deep learning Python back end installation tests failed. Cause: Python library 'tensorflow' or one of its dependencies is missing. Python library 'keras' or one of its dependencies is missing. at org.knime.dl.python.core.DLPythonAbstractCommands.testInstallation(DLPythonAbstractCommands.java:299) at org.knime.dl.python.core.DLPythonAbstractNetworkLoader$DLPythonInstallationTester$InstallationTestCallable.call(DLPythonAbstractNetworkLoader.java:173) ... 6 more 2022-11-30 15:09:34,078 : ERROR : Clear OSGi configuration : : InvokeInstallSiteAction : : : Could not clean OSGi configuration area: C:\Program Files\KNIME\configuration\org.eclipse.osgi\123\0\.cp\os\win32\x86_64\localfile_1_0_0.dll 2022-11-30 15:13:37,298 : ERROR : KNIME-Worker-5-Keras Network Learner 3:24 : : Node : Keras Network Learner : 3:24 : Execute failed: An error occurred while creating the Keras network from its layer specifications. Details: Deep learning Python back end installation tests failed. Cause: Python library 'tensorflow' or one of its dependencies is missing. Python library 'keras' or one of its dependencies is missing. In case Python packages are missing: you can create a new Python Conda environment that contains all packages required by the KNIME deep learning integrations in the "KNIME Deep Learning" Preferences. java.io.IOException: An error occurred while creating the Keras network from its layer specifications. Details: Deep learning Python back end installation tests failed. Cause: Python library 'tensorflow' or one of its dependencies is missing. Python library 'keras' or one of its dependencies is missing. In case Python packages are missing: you can create a new Python Conda environment that contains all packages required by the KNIME deep learning integrations in the "KNIME Deep Learning" Preferences. at org.knime.dl.keras.base.portobjects.DLKerasUnmaterializedPortObjectContent.materialize(DLKerasUnmaterializedPortObjectContent.java:113) at org.knime.dl.keras.base.portobjects.DLKerasUnmaterializedNetworkPortObject.getNetwork(DLKerasUnmaterializedNetworkPortObject.java:133) at org.knime.dl.keras.base.portobjects.DLKerasUnmaterializedNetworkPortObject.getNetwork(DLKerasUnmaterializedNetworkPortObject.java:1) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:643) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.execute(DLKerasLearnerNodeModel.java:320) at org.knime.core.node.NodeModel.executeModel(NodeModel.java:549) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1267) at org.knime.core.node.Node.execute(Node.java:1041) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:95) at org.knime.core.node.workflow.NodeExecutionJob.internalRun(NodeExecutionJob.java:201) at org.knime.core.node.workflow.NodeExecutionJob.run(NodeExecutionJob.java:117) at org.knime.core.util.ThreadUtils$RunnableWithContextImpl.runWithContext(ThreadUtils.java:367) at org.knime.core.util.ThreadUtils$RunnableWithContext.run(ThreadUtils.java:221) at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at org.knime.core.util.ThreadPool$MyFuture.run(ThreadPool.java:123) at org.knime.core.util.ThreadPool$Worker.run(ThreadPool.java:246) Caused by: org.knime.dl.core.DLInvalidEnvironmentException: Deep learning Python back end installation tests failed. Cause: Python library 'tensorflow' or one of its dependencies is missing. Python library 'keras' or one of its dependencies is missing. In case Python packages are missing: you can create a new Python Conda environment that contains all packages required by the KNIME deep learning integrations in the "KNIME Deep Learning" Preferences. at org.knime.dl.keras.core.layers.DLKerasNetworkMaterializer.materialize(DLKerasNetworkMaterializer.java:142) at org.knime.dl.keras.base.portobjects.DLKerasUnmaterializedPortObjectContent.materialize(DLKerasUnmaterializedPortObjectContent.java:107) ... 17 more Caused by: org.knime.dl.core.DLMissingDependencyException: Deep learning Python back end installation tests failed. Cause: Python library 'tensorflow' or one of its dependencies is missing. Python library 'keras' or one of its dependencies is missing. In case Python packages are missing: you can create a new Python Conda environment that contains all packages required by the KNIME deep learning integrations in the "KNIME Deep Learning" Preferences. at org.knime.dl.python.core.DLPythonAbstractNetworkLoader$DLPythonInstallationTester$InstallationTestCallable.call(DLPythonAbstractNetworkLoader.java:182) at org.knime.dl.python.core.DLPythonAbstractNetworkLoader$DLPythonInstallationTester$InstallationTestCallable.call(DLPythonAbstractNetworkLoader.java:1) at org.knime.core.util.ThreadUtils$CallableWithContextImpl.callWithContext(ThreadUtils.java:383) at org.knime.core.util.ThreadUtils$CallableWithContext.call(ThreadUtils.java:269) ... 3 more Caused by: org.knime.dl.core.DLInvalidEnvironmentException: Deep learning Python back end installation tests failed. Cause: Python library 'tensorflow' or one of its dependencies is missing. Python library 'keras' or one of its dependencies is missing. at org.knime.dl.python.core.DLPythonAbstractCommands.testInstallation(DLPythonAbstractCommands.java:299) at org.knime.dl.python.core.DLPythonAbstractNetworkLoader$DLPythonInstallationTester$InstallationTestCallable.call(DLPythonAbstractNetworkLoader.java:173) ... 6 more 2022-11-30 15:45:06,709 : ERROR : KNIME-Worker-7-Keras Network Learner 3:24 : : Node : Keras Network Learner : 3:24 : Execute failed: An error occurred while creating the Keras network from its layer specifications. Details: Installation test for Python deep learning back end 'org.knime.dl.keras.tensorflow.core.DLKerasTensorFlowNetwork' timed out. Please make sure your Python environment is properly set up and consider increasing the timeout (currently 25000 ms) using the VM option '-Dknime.dl.installationtesttimeout='. java.io.IOException: An error occurred while creating the Keras network from its layer specifications. Details: Installation test for Python deep learning back end 'org.knime.dl.keras.tensorflow.core.DLKerasTensorFlowNetwork' timed out. Please make sure your Python environment is properly set up and consider increasing the timeout (currently 25000 ms) using the VM option '-Dknime.dl.installationtesttimeout='. at org.knime.dl.keras.base.portobjects.DLKerasUnmaterializedPortObjectContent.materialize(DLKerasUnmaterializedPortObjectContent.java:113) at org.knime.dl.keras.base.portobjects.DLKerasUnmaterializedNetworkPortObject.getNetwork(DLKerasUnmaterializedNetworkPortObject.java:133) at org.knime.dl.keras.base.portobjects.DLKerasUnmaterializedNetworkPortObject.getNetwork(DLKerasUnmaterializedNetworkPortObject.java:1) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:643) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.execute(DLKerasLearnerNodeModel.java:320) at org.knime.core.node.NodeModel.executeModel(NodeModel.java:549) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1267) at org.knime.core.node.Node.execute(Node.java:1041) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:95) at org.knime.core.node.workflow.NodeExecutionJob.internalRun(NodeExecutionJob.java:201) at org.knime.core.node.workflow.NodeExecutionJob.run(NodeExecutionJob.java:117) at org.knime.core.util.ThreadUtils$RunnableWithContextImpl.runWithContext(ThreadUtils.java:367) at org.knime.core.util.ThreadUtils$RunnableWithContext.run(ThreadUtils.java:221) at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at org.knime.core.util.ThreadPool$MyFuture.run(ThreadPool.java:123) at org.knime.core.util.ThreadPool$Worker.run(ThreadPool.java:246) Caused by: org.knime.dl.core.DLInvalidEnvironmentException: Installation test for Python deep learning back end 'org.knime.dl.keras.tensorflow.core.DLKerasTensorFlowNetwork' timed out. Please make sure your Python environment is properly set up and consider increasing the timeout (currently 25000 ms) using the VM option '-Dknime.dl.installationtesttimeout='. at org.knime.dl.keras.core.layers.DLKerasNetworkMaterializer.materialize(DLKerasNetworkMaterializer.java:142) at org.knime.dl.keras.base.portobjects.DLKerasUnmaterializedPortObjectContent.materialize(DLKerasUnmaterializedPortObjectContent.java:107) ... 17 more Caused by: org.knime.dl.core.DLInstallationTestTimeoutException: Installation test for Python deep learning back end 'org.knime.dl.keras.tensorflow.core.DLKerasTensorFlowNetwork' timed out. Please make sure your Python environment is properly set up and consider increasing the timeout (currently 25000 ms) using the VM option '-Dknime.dl.installationtesttimeout='. at org.knime.dl.python.core.DLPythonAbstractNetworkLoader$DLPythonInstallationTester.runTest(DLPythonAbstractNetworkLoader.java:142) at org.knime.dl.python.core.DLPythonAbstractNetworkLoader$DLPythonInstallationTester.testInstallation(DLPythonAbstractNetworkLoader.java:112) at org.knime.dl.python.core.DLPythonAbstractNetworkLoader.checkAvailability(DLPythonAbstractNetworkLoader.java:94) at org.knime.dl.python.core.DLPythonAbstractNetworkLoader.checkAvailability(DLPythonAbstractNetworkLoader.java:1) at org.knime.dl.keras.core.layers.DLKerasNetworkMaterializer.materialize(DLKerasNetworkMaterializer.java:139) ... 18 more Caused by: java.util.concurrent.TimeoutException at java.base/java.util.concurrent.FutureTask.get(Unknown Source) at org.knime.core.util.ThreadPool$MyFuture.get(ThreadPool.java:187) at org.knime.dl.python.core.DLPythonAbstractNetworkLoader$DLPythonInstallationTester.runTest(DLPythonAbstractNetworkLoader.java:130) ... 22 more 2022-11-30 15:46:03,949 : WARN : main : : WrappedNodeDialog : Keras Network Learner : 3:24 : failed to apply settings: Cannot load settings into node; it is executing or has executing successors java.lang.IllegalStateException: Cannot load settings into node; it is executing or has executing successors at org.knime.core.node.workflow.WorkflowManager.loadNodeSettings(WorkflowManager.java:2058) at org.knime.core.node.workflow.NodeContainer.applySettingsFromDialog(NodeContainer.java:1118) at org.knime.core.ui.wrapper.NodeContainerWrapper.applySettingsFromDialog(NodeContainerWrapper.java:264) at org.knime.workbench.ui.wrapper.WrappedNodeDialog.callApplySettingsFromDialog(WrappedNodeDialog.java:672) at org.knime.workbench.ui.wrapper.WrappedNodeDialog.doApply(WrappedNodeDialog.java:644) at org.knime.workbench.ui.wrapper.WrappedNodeDialog$6.widgetSelected(WrappedNodeDialog.java:510) at org.eclipse.swt.widgets.TypedListener.handleEvent(TypedListener.java:252) at org.eclipse.swt.widgets.EventTable.sendEvent(EventTable.java:89) at org.eclipse.swt.widgets.Display.sendEvent(Display.java:4209) at org.eclipse.swt.widgets.Widget.sendEvent(Widget.java:1043) at org.eclipse.swt.widgets.Display.runDeferredEvents(Display.java:4026) at org.eclipse.swt.widgets.Display.readAndDispatch(Display.java:3626) at org.eclipse.jface.window.Window.runEventLoop(Window.java:823) at org.eclipse.jface.window.Window.open(Window.java:799) at org.knime.workbench.ui.wrapper.WrappedNodeDialog.open(WrappedNodeDialog.java:199) at org.knime.workbench.editor2.editparts.NodeContainerEditPart.openDialog(NodeContainerEditPart.java:955) at org.knime.workbench.editor2.editparts.NodeContainerEditPart.openNodeDialog(NodeContainerEditPart.java:862) at org.knime.workbench.editor2.editparts.NodeContainerEditPart.openNodeDialog(NodeContainerEditPart.java:845) at org.knime.workbench.editor2.editparts.NodeContainerEditPart.openDialog(NodeContainerEditPart.java:834) at org.knime.workbench.editor2.editparts.NodeContainerEditPart.performRequest(NodeContainerEditPart.java:398) at org.eclipse.gef.tools.SelectEditPartTracker.performOpen(SelectEditPartTracker.java:194) at org.eclipse.gef.tools.SelectEditPartTracker.handleDoubleClick(SelectEditPartTracker.java:137) at org.knime.workbench.editor2.WorkflowSelectionDragEditPartsTracker.handleDoubleClick(WorkflowSelectionDragEditPartsTracker.java:126) at org.eclipse.gef.tools.AbstractTool.mouseDoubleClick(AbstractTool.java:1069) at org.eclipse.gef.tools.SelectionTool.mouseDoubleClick(SelectionTool.java:527) at org.eclipse.gef.EditDomain.mouseDoubleClick(EditDomain.java:231) at org.eclipse.gef.ui.parts.DomainEventDispatcher.dispatchMouseDoubleClicked(DomainEventDispatcher.java:291) at org.eclipse.draw2d.LightweightSystem$EventHandler.mouseDoubleClick(LightweightSystem.java:518) at org.eclipse.swt.widgets.TypedListener.handleEvent(TypedListener.java:200) at org.eclipse.swt.widgets.EventTable.sendEvent(EventTable.java:89) at org.eclipse.swt.widgets.Display.sendEvent(Display.java:4209) at org.eclipse.swt.widgets.Widget.sendEvent(Widget.java:1043) at org.eclipse.swt.widgets.Display.runDeferredEvents(Display.java:4026) at org.eclipse.swt.widgets.Display.readAndDispatch(Display.java:3626) at org.eclipse.e4.ui.internal.workbench.swt.PartRenderingEngine$5.run(PartRenderingEngine.java:1157) at org.eclipse.core.databinding.observable.Realm.runWithDefault(Realm.java:338) at org.eclipse.e4.ui.internal.workbench.swt.PartRenderingEngine.run(PartRenderingEngine.java:1046) at org.eclipse.e4.ui.internal.workbench.E4Workbench.createAndRunUI(E4Workbench.java:155) at org.eclipse.ui.internal.Workbench.lambda$3(Workbench.java:644) at org.eclipse.core.databinding.observable.Realm.runWithDefault(Realm.java:338) at org.eclipse.ui.internal.Workbench.createAndRunWorkbench(Workbench.java:551) at org.eclipse.ui.PlatformUI.createAndRunWorkbench(PlatformUI.java:156) at org.knime.product.rcp.KNIMEApplication.start(KNIMEApplication.java:188) at org.eclipse.equinox.internal.app.EclipseAppHandle.run(EclipseAppHandle.java:203) at org.eclipse.core.runtime.internal.adaptor.EclipseAppLauncher.runApplication(EclipseAppLauncher.java:134) at org.eclipse.core.runtime.internal.adaptor.EclipseAppLauncher.start(EclipseAppLauncher.java:104) at org.eclipse.core.runtime.adaptor.EclipseStarter.run(EclipseStarter.java:401) at org.eclipse.core.runtime.adaptor.EclipseStarter.run(EclipseStarter.java:255) at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(Unknown Source) at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source) at java.base/java.lang.reflect.Method.invoke(Unknown Source) at org.eclipse.equinox.launcher.Main.invokeFramework(Main.java:653) at org.eclipse.equinox.launcher.Main.basicRun(Main.java:590) at org.eclipse.equinox.launcher.Main.run(Main.java:1461) 2022-11-30 15:46:09,238 : WARN : main : : WrappedNodeDialog : Keras Network Learner : 3:24 : failed to apply settings: Cannot load settings into node; it is executing or has executing successors java.lang.IllegalStateException: Cannot load settings into node; it is executing or has executing successors at org.knime.core.node.workflow.WorkflowManager.loadNodeSettings(WorkflowManager.java:2058) at org.knime.core.node.workflow.NodeContainer.applySettingsFromDialog(NodeContainer.java:1118) at org.knime.core.ui.wrapper.NodeContainerWrapper.applySettingsFromDialog(NodeContainerWrapper.java:264) at org.knime.workbench.ui.wrapper.WrappedNodeDialog.callApplySettingsFromDialog(WrappedNodeDialog.java:672) at org.knime.workbench.ui.wrapper.WrappedNodeDialog.doApply(WrappedNodeDialog.java:644) at org.knime.workbench.ui.wrapper.WrappedNodeDialog.doOK(WrappedNodeDialog.java:559) at org.knime.workbench.ui.wrapper.WrappedNodeDialog$5.widgetSelected(WrappedNodeDialog.java:495) at org.eclipse.swt.widgets.TypedListener.handleEvent(TypedListener.java:252) at org.eclipse.swt.widgets.EventTable.sendEvent(EventTable.java:89) at org.eclipse.swt.widgets.Display.sendEvent(Display.java:4209) at org.eclipse.swt.widgets.Widget.sendEvent(Widget.java:1043) at org.eclipse.swt.widgets.Display.runDeferredEvents(Display.java:4026) at org.eclipse.swt.widgets.Display.readAndDispatch(Display.java:3626) at org.eclipse.jface.window.Window.runEventLoop(Window.java:823) at org.eclipse.jface.window.Window.open(Window.java:799) at org.knime.workbench.ui.wrapper.WrappedNodeDialog.open(WrappedNodeDialog.java:199) at org.knime.workbench.editor2.editparts.NodeContainerEditPart.openDialog(NodeContainerEditPart.java:955) at org.knime.workbench.editor2.editparts.NodeContainerEditPart.openNodeDialog(NodeContainerEditPart.java:862) at org.knime.workbench.editor2.editparts.NodeContainerEditPart.openNodeDialog(NodeContainerEditPart.java:845) at org.knime.workbench.editor2.editparts.NodeContainerEditPart.openDialog(NodeContainerEditPart.java:834) at org.knime.workbench.editor2.editparts.NodeContainerEditPart.performRequest(NodeContainerEditPart.java:398) at org.eclipse.gef.tools.SelectEditPartTracker.performOpen(SelectEditPartTracker.java:194) at org.eclipse.gef.tools.SelectEditPartTracker.handleDoubleClick(SelectEditPartTracker.java:137) at org.knime.workbench.editor2.WorkflowSelectionDragEditPartsTracker.handleDoubleClick(WorkflowSelectionDragEditPartsTracker.java:126) at org.eclipse.gef.tools.AbstractTool.mouseDoubleClick(AbstractTool.java:1069) at org.eclipse.gef.tools.SelectionTool.mouseDoubleClick(SelectionTool.java:527) at org.eclipse.gef.EditDomain.mouseDoubleClick(EditDomain.java:231) at org.eclipse.gef.ui.parts.DomainEventDispatcher.dispatchMouseDoubleClicked(DomainEventDispatcher.java:291) at org.eclipse.draw2d.LightweightSystem$EventHandler.mouseDoubleClick(LightweightSystem.java:518) at org.eclipse.swt.widgets.TypedListener.handleEvent(TypedListener.java:200) at org.eclipse.swt.widgets.EventTable.sendEvent(EventTable.java:89) at org.eclipse.swt.widgets.Display.sendEvent(Display.java:4209) at org.eclipse.swt.widgets.Widget.sendEvent(Widget.java:1043) at org.eclipse.swt.widgets.Display.runDeferredEvents(Display.java:4026) at org.eclipse.swt.widgets.Display.readAndDispatch(Display.java:3626) at org.eclipse.e4.ui.internal.workbench.swt.PartRenderingEngine$5.run(PartRenderingEngine.java:1157) at org.eclipse.core.databinding.observable.Realm.runWithDefault(Realm.java:338) at org.eclipse.e4.ui.internal.workbench.swt.PartRenderingEngine.run(PartRenderingEngine.java:1046) at org.eclipse.e4.ui.internal.workbench.E4Workbench.createAndRunUI(E4Workbench.java:155) at org.eclipse.ui.internal.Workbench.lambda$3(Workbench.java:644) at org.eclipse.core.databinding.observable.Realm.runWithDefault(Realm.java:338) at org.eclipse.ui.internal.Workbench.createAndRunWorkbench(Workbench.java:551) at org.eclipse.ui.PlatformUI.createAndRunWorkbench(PlatformUI.java:156) at org.knime.product.rcp.KNIMEApplication.start(KNIMEApplication.java:188) at org.eclipse.equinox.internal.app.EclipseAppHandle.run(EclipseAppHandle.java:203) at org.eclipse.core.runtime.internal.adaptor.EclipseAppLauncher.runApplication(EclipseAppLauncher.java:134) at org.eclipse.core.runtime.internal.adaptor.EclipseAppLauncher.start(EclipseAppLauncher.java:104) at org.eclipse.core.runtime.adaptor.EclipseStarter.run(EclipseStarter.java:401) at org.eclipse.core.runtime.adaptor.EclipseStarter.run(EclipseStarter.java:255) at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(Unknown Source) at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source) at java.base/java.lang.reflect.Method.invoke(Unknown Source) at org.eclipse.equinox.launcher.Main.invokeFramework(Main.java:653) at org.eclipse.equinox.launcher.Main.basicRun(Main.java:590) at org.eclipse.equinox.launcher.Main.run(Main.java:1461) 2022-11-30 15:50:41,606 : WARN : KNIME-Worker-2-Keras Network Learner 3:24 : : DLKnimeNetworkValidationInputPreparer : Keras Network Learner : 3:24 : The number of rows of the input validation data table (99) is not a multiple of the selected validation batch size (10). Thus, the last batch of each validation phase will continue at the beginning of the validation data table after reaching its end. You can avoid that by adjusting the number of rows of the table or the batch size if desired. 2022-11-30 15:50:42,643 : WARN : Thread-31 : : PythonKernel : Keras Network Learner : 3:24 : C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2022-11-30 15:52:29,082 : ERROR : KNIME-Worker-2-Keras Network Learner 3:24 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:24 : java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset 2022-11-30 15:52:29,084 : ERROR : KNIME-Worker-2-Keras Network Learner 3:24 : : Node : Keras Network Learner : 3:24 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. java.lang.RuntimeException: An error occured during training of the Keras deep learning network. See log for details. at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.handleGeneralException(DLKerasLearnerNodeModel.java:751) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:721) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.execute(DLKerasLearnerNodeModel.java:320) at org.knime.core.node.NodeModel.executeModel(NodeModel.java:549) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1267) at org.knime.core.node.Node.execute(Node.java:1041) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:95) at org.knime.core.node.workflow.NodeExecutionJob.internalRun(NodeExecutionJob.java:201) at org.knime.core.node.workflow.NodeExecutionJob.run(NodeExecutionJob.java:117) at org.knime.core.util.ThreadUtils$RunnableWithContextImpl.runWithContext(ThreadUtils.java:367) at org.knime.core.util.ThreadUtils$RunnableWithContext.run(ThreadUtils.java:221) at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at org.knime.core.util.ThreadPool$MyFuture.run(ThreadPool.java:123) at org.knime.core.util.ThreadPool$Worker.run(ThreadPool.java:246) Caused by: java.io.IOException: java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset at org.knime.dl.python.core.DLPythonAbstractCommands.trainNetwork(DLPythonAbstractCommands.java:555) at org.knime.dl.python.core.training.DLPythonAbstractNetworkTrainingSession.trainInternal(DLPythonAbstractNetworkTrainingSession.java:193) at org.knime.dl.core.training.DLAbstractNetworkTrainingSession.run(DLAbstractNetworkTrainingSession.java:273) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:712) ... 14 more Suppressed: org.knime.dl.core.DLUncheckedException: An exception occured while cleaning up Python. Cause: Failed to clean up Python. See log for details. at org.knime.dl.python.core.DLPythonAbstractContext.close(DLPythonAbstractContext.java:242) at org.knime.dl.python.core.DLPythonAbstractCommands.close(DLPythonAbstractCommands.java:572) at org.knime.dl.python.core.training.DLPythonAbstractNetworkTrainingSession.close(DLPythonAbstractNetworkTrainingSession.java:162) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:717) ... 14 more Caused by: org.knime.python2.kernel.PythonKernelCleanupException: Failed to clean up Python. See log for details. at org.knime.python2.kernel.Python2KernelBackend.synchronousClose(Python2KernelBackend.java:1340) at org.knime.python2.kernel.Python2KernelBackend.close(Python2KernelBackend.java:1301) at org.knime.python2.kernel.PythonKernel.close(PythonKernel.java:544) at org.knime.dl.python.core.DLPythonAbstractContext.close(DLPythonAbstractContext.java:240) ... 17 more Caused by: java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset at org.knime.python2.kernel.messaging.AbstractMessageLoop.throwExceptionInLoop(AbstractMessageLoop.java:76) at org.knime.python2.kernel.messaging.DefaultMessageReceiverLoop.loop(DefaultMessageReceiverLoop.java:98) at org.knime.python2.kernel.messaging.AbstractMessageLoop.doLoop(AbstractMessageLoop.java:175) at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source) at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source) at java.base/java.lang.Thread.run(Unknown Source) Suppressed: java.lang.Exception: Failed to distribute message from Python. Cause: Message receiver loop terminated. at org.knime.python2.kernel.messaging.AbstractMessageLoop.throwExceptionInLoop(AbstractMessageLoop.java:76) at org.knime.python2.kernel.messaging.MessageDistributorLoop.loop(MessageDistributorLoop.java:93) ... 4 more Caused by: java.io.IOException: Message receiver loop terminated. at org.knime.python2.kernel.messaging.DefaultMessageReceiverLoop.receive(DefaultMessageReceiverLoop.java:82) at org.knime.python2.kernel.messaging.MessageDistributorLoop.loop(MessageDistributorLoop.java:82) ... 4 more Suppressed: [CIRCULAR REFERENCE: java.lang.Exception: Failed to distribute message from Python. Cause: Message receiver loop terminated.] Caused by: java.net.SocketException: Connection reset at java.base/sun.nio.ch.NioSocketImpl.implRead(Unknown Source) at java.base/sun.nio.ch.NioSocketImpl.read(Unknown Source) at java.base/sun.nio.ch.NioSocketImpl$1.read(Unknown Source) at java.base/java.net.Socket$SocketInputStream.read(Unknown Source) at java.base/java.io.DataInputStream.readFully(Unknown Source) at java.base/java.io.DataInputStream.readFully(Unknown Source) at org.knime.python2.kernel.messaging.PythonMessagingUtils.readInt(PythonMessagingUtils.java:91) at org.knime.python2.kernel.messaging.DefaultMessageReceiver.receive(DefaultMessageReceiver.java:80) at org.knime.python2.kernel.messaging.DefaultMessageReceiverLoop.loop(DefaultMessageReceiverLoop.java:92) ... 4 more Caused by: [CIRCULAR REFERENCE: java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset] 2022-11-30 16:13:24,476 : WARN : KNIME-Worker-6-Keras Network Learner 3:24 : : DLKnimeNetworkValidationInputPreparer : Keras Network Learner : 3:24 : The number of rows of the input validation data table (99) is not a multiple of the selected validation batch size (10). Thus, the last batch of each validation phase will continue at the beginning of the validation data table after reaching its end. You can avoid that by adjusting the number of rows of the table or the batch size if desired. 2022-11-30 16:13:25,552 : WARN : Thread-103 : : PythonKernel : Keras Network Learner : 3:24 : C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2022-11-30 16:13:43,615 : ERROR : KNIME-Worker-6-Keras Network Learner 3:24 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:24 : java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset 2022-11-30 16:13:43,615 : ERROR : KNIME-Worker-6-Keras Network Learner 3:24 : : Node : Keras Network Learner : 3:24 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. java.lang.RuntimeException: An error occured during training of the Keras deep learning network. See log for details. at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.handleGeneralException(DLKerasLearnerNodeModel.java:751) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:721) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.execute(DLKerasLearnerNodeModel.java:320) at org.knime.core.node.NodeModel.executeModel(NodeModel.java:549) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1267) at org.knime.core.node.Node.execute(Node.java:1041) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:95) at org.knime.core.node.workflow.NodeExecutionJob.internalRun(NodeExecutionJob.java:201) at org.knime.core.node.workflow.NodeExecutionJob.run(NodeExecutionJob.java:117) at org.knime.core.util.ThreadUtils$RunnableWithContextImpl.runWithContext(ThreadUtils.java:367) at org.knime.core.util.ThreadUtils$RunnableWithContext.run(ThreadUtils.java:221) at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at org.knime.core.util.ThreadPool$MyFuture.run(ThreadPool.java:123) at org.knime.core.util.ThreadPool$Worker.run(ThreadPool.java:246) Caused by: java.io.IOException: java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset at org.knime.dl.python.core.DLPythonAbstractCommands.trainNetwork(DLPythonAbstractCommands.java:555) at org.knime.dl.python.core.training.DLPythonAbstractNetworkTrainingSession.trainInternal(DLPythonAbstractNetworkTrainingSession.java:193) at org.knime.dl.core.training.DLAbstractNetworkTrainingSession.run(DLAbstractNetworkTrainingSession.java:273) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:712) ... 14 more Suppressed: org.knime.dl.core.DLUncheckedException: An exception occured while cleaning up Python. Cause: Failed to clean up Python. See log for details. at org.knime.dl.python.core.DLPythonAbstractContext.close(DLPythonAbstractContext.java:242) at org.knime.dl.python.core.DLPythonAbstractCommands.close(DLPythonAbstractCommands.java:572) at org.knime.dl.python.core.training.DLPythonAbstractNetworkTrainingSession.close(DLPythonAbstractNetworkTrainingSession.java:162) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:717) ... 14 more Caused by: org.knime.python2.kernel.PythonKernelCleanupException: Failed to clean up Python. See log for details. at org.knime.python2.kernel.Python2KernelBackend.synchronousClose(Python2KernelBackend.java:1340) at org.knime.python2.kernel.Python2KernelBackend.close(Python2KernelBackend.java:1301) at org.knime.python2.kernel.PythonKernel.close(PythonKernel.java:544) at org.knime.dl.python.core.DLPythonAbstractContext.close(DLPythonAbstractContext.java:240) ... 17 more Caused by: java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset at org.knime.python2.kernel.messaging.AbstractMessageLoop.throwExceptionInLoop(AbstractMessageLoop.java:76) at org.knime.python2.kernel.messaging.DefaultMessageReceiverLoop.loop(DefaultMessageReceiverLoop.java:98) at org.knime.python2.kernel.messaging.AbstractMessageLoop.doLoop(AbstractMessageLoop.java:175) at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source) at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source) at java.base/java.lang.Thread.run(Unknown Source) Suppressed: java.lang.Exception: Failed to distribute message from Python. Cause: Message receiver loop terminated. at org.knime.python2.kernel.messaging.AbstractMessageLoop.throwExceptionInLoop(AbstractMessageLoop.java:76) at org.knime.python2.kernel.messaging.MessageDistributorLoop.loop(MessageDistributorLoop.java:93) ... 4 more Caused by: java.io.IOException: Message receiver loop terminated. at org.knime.python2.kernel.messaging.DefaultMessageReceiverLoop.receive(DefaultMessageReceiverLoop.java:82) at org.knime.python2.kernel.messaging.MessageDistributorLoop.loop(MessageDistributorLoop.java:82) ... 4 more Suppressed: [CIRCULAR REFERENCE: java.lang.Exception: Failed to distribute message from Python. Cause: Message receiver loop terminated.] Caused by: java.net.SocketException: Connection reset at java.base/sun.nio.ch.NioSocketImpl.implRead(Unknown Source) at java.base/sun.nio.ch.NioSocketImpl.read(Unknown Source) at java.base/sun.nio.ch.NioSocketImpl$1.read(Unknown Source) at java.base/java.net.Socket$SocketInputStream.read(Unknown Source) at java.base/java.io.DataInputStream.readFully(Unknown Source) at java.base/java.io.DataInputStream.readFully(Unknown Source) at org.knime.python2.kernel.messaging.PythonMessagingUtils.readInt(PythonMessagingUtils.java:91) at org.knime.python2.kernel.messaging.DefaultMessageReceiver.receive(DefaultMessageReceiver.java:80) at org.knime.python2.kernel.messaging.DefaultMessageReceiverLoop.loop(DefaultMessageReceiverLoop.java:92) ... 4 more Caused by: [CIRCULAR REFERENCE: java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset] 2022-11-30 16:18:22,783 : WARN : KNIME-Worker-0-Keras Network Learner 3:24 : : DLKnimeNetworkValidationInputPreparer : Keras Network Learner : 3:24 : The number of rows of the input validation data table (99) is not a multiple of the selected validation batch size (10). Thus, the last batch of each validation phase will continue at the beginning of the validation data table after reaching its end. You can avoid that by adjusting the number of rows of the table or the batch size if desired. 2022-11-30 16:18:25,401 : WARN : Thread-34 : : PythonKernel : Keras Network Learner : 3:24 : C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2022-11-30 16:18:49,332 : ERROR : KNIME-Worker-0-Keras Network Learner 3:24 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:24 : java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset 2022-11-30 16:18:49,332 : ERROR : KNIME-Worker-0-Keras Network Learner 3:24 : : Node : Keras Network Learner : 3:24 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. java.lang.RuntimeException: An error occured during training of the Keras deep learning network. See log for details. at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.handleGeneralException(DLKerasLearnerNodeModel.java:751) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:721) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.execute(DLKerasLearnerNodeModel.java:320) at org.knime.core.node.NodeModel.executeModel(NodeModel.java:549) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1267) at org.knime.core.node.Node.execute(Node.java:1041) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:95) at org.knime.core.node.workflow.NodeExecutionJob.internalRun(NodeExecutionJob.java:201) at org.knime.core.node.workflow.NodeExecutionJob.run(NodeExecutionJob.java:117) at org.knime.core.util.ThreadUtils$RunnableWithContextImpl.runWithContext(ThreadUtils.java:367) at org.knime.core.util.ThreadUtils$RunnableWithContext.run(ThreadUtils.java:221) at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at org.knime.core.util.ThreadPool$MyFuture.run(ThreadPool.java:123) at org.knime.core.util.ThreadPool$Worker.run(ThreadPool.java:246) Caused by: java.io.IOException: java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset at org.knime.dl.python.core.DLPythonAbstractCommands.trainNetwork(DLPythonAbstractCommands.java:555) at org.knime.dl.python.core.training.DLPythonAbstractNetworkTrainingSession.trainInternal(DLPythonAbstractNetworkTrainingSession.java:193) at org.knime.dl.core.training.DLAbstractNetworkTrainingSession.run(DLAbstractNetworkTrainingSession.java:273) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:712) ... 14 more Suppressed: org.knime.dl.core.DLUncheckedException: An exception occured while cleaning up Python. Cause: Failed to clean up Python. See log for details. at org.knime.dl.python.core.DLPythonAbstractContext.close(DLPythonAbstractContext.java:242) at org.knime.dl.python.core.DLPythonAbstractCommands.close(DLPythonAbstractCommands.java:572) at org.knime.dl.python.core.training.DLPythonAbstractNetworkTrainingSession.close(DLPythonAbstractNetworkTrainingSession.java:162) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:717) ... 14 more Caused by: org.knime.python2.kernel.PythonKernelCleanupException: Failed to clean up Python. See log for details. at org.knime.python2.kernel.Python2KernelBackend.synchronousClose(Python2KernelBackend.java:1340) at org.knime.python2.kernel.Python2KernelBackend.close(Python2KernelBackend.java:1301) at org.knime.python2.kernel.PythonKernel.close(PythonKernel.java:544) at org.knime.dl.python.core.DLPythonAbstractContext.close(DLPythonAbstractContext.java:240) ... 17 more Caused by: java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset at org.knime.python2.kernel.messaging.AbstractMessageLoop.throwExceptionInLoop(AbstractMessageLoop.java:76) at org.knime.python2.kernel.messaging.DefaultMessageReceiverLoop.loop(DefaultMessageReceiverLoop.java:98) at org.knime.python2.kernel.messaging.AbstractMessageLoop.doLoop(AbstractMessageLoop.java:175) at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source) at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source) at java.base/java.lang.Thread.run(Unknown Source) Suppressed: java.lang.Exception: Failed to distribute message from Python. Cause: Message receiver loop terminated. at org.knime.python2.kernel.messaging.AbstractMessageLoop.throwExceptionInLoop(AbstractMessageLoop.java:76) at org.knime.python2.kernel.messaging.MessageDistributorLoop.loop(MessageDistributorLoop.java:93) ... 4 more Caused by: java.io.IOException: Message receiver loop terminated. at org.knime.python2.kernel.messaging.DefaultMessageReceiverLoop.receive(DefaultMessageReceiverLoop.java:82) at org.knime.python2.kernel.messaging.MessageDistributorLoop.loop(MessageDistributorLoop.java:82) ... 4 more Suppressed: [CIRCULAR REFERENCE: java.lang.Exception: Failed to distribute message from Python. Cause: Message receiver loop terminated.] Caused by: java.net.SocketException: Connection reset at java.base/sun.nio.ch.NioSocketImpl.implRead(Unknown Source) at java.base/sun.nio.ch.NioSocketImpl.read(Unknown Source) at java.base/sun.nio.ch.NioSocketImpl$1.read(Unknown Source) at java.base/java.net.Socket$SocketInputStream.read(Unknown Source) at java.base/java.io.DataInputStream.readFully(Unknown Source) at java.base/java.io.DataInputStream.readFully(Unknown Source) at org.knime.python2.kernel.messaging.PythonMessagingUtils.readInt(PythonMessagingUtils.java:91) at org.knime.python2.kernel.messaging.DefaultMessageReceiver.receive(DefaultMessageReceiver.java:80) at org.knime.python2.kernel.messaging.DefaultMessageReceiverLoop.loop(DefaultMessageReceiverLoop.java:92) ... 4 more Caused by: [CIRCULAR REFERENCE: java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset] 2022-11-30 16:47:37,473 : WARN : KNIME-Worker-5-Keras Network Learner 3:24 : : DLKnimeNetworkValidationInputPreparer : Keras Network Learner : 3:24 : The number of rows of the input validation data table (99) is not a multiple of the selected validation batch size (10). Thus, the last batch of each validation phase will continue at the beginning of the validation data table after reaching its end. You can avoid that by adjusting the number of rows of the table or the batch size if desired. 2022-11-30 16:47:39,065 : WARN : Thread-126 : : PythonKernel : Keras Network Learner : 3:24 : C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2022-11-30 16:47:54,913 : ERROR : KNIME-Worker-5-Keras Network Learner 3:24 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:24 : java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset 2022-11-30 16:47:54,914 : ERROR : KNIME-Worker-5-Keras Network Learner 3:24 : : Node : Keras Network Learner : 3:24 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. java.lang.RuntimeException: An error occured during training of the Keras deep learning network. See log for details. at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.handleGeneralException(DLKerasLearnerNodeModel.java:751) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:721) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.execute(DLKerasLearnerNodeModel.java:320) at org.knime.core.node.NodeModel.executeModel(NodeModel.java:549) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1267) at org.knime.core.node.Node.execute(Node.java:1041) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:95) at org.knime.core.node.workflow.NodeExecutionJob.internalRun(NodeExecutionJob.java:201) at org.knime.core.node.workflow.NodeExecutionJob.run(NodeExecutionJob.java:117) at org.knime.core.util.ThreadUtils$RunnableWithContextImpl.runWithContext(ThreadUtils.java:367) at org.knime.core.util.ThreadUtils$RunnableWithContext.run(ThreadUtils.java:221) at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at org.knime.core.util.ThreadPool$MyFuture.run(ThreadPool.java:123) at org.knime.core.util.ThreadPool$Worker.run(ThreadPool.java:246) Caused by: java.io.IOException: java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset at org.knime.dl.python.core.DLPythonAbstractCommands.trainNetwork(DLPythonAbstractCommands.java:555) at org.knime.dl.python.core.training.DLPythonAbstractNetworkTrainingSession.trainInternal(DLPythonAbstractNetworkTrainingSession.java:193) at org.knime.dl.core.training.DLAbstractNetworkTrainingSession.run(DLAbstractNetworkTrainingSession.java:273) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:712) ... 14 more Suppressed: org.knime.dl.core.DLUncheckedException: An exception occured while cleaning up Python. Cause: Failed to clean up Python. See log for details. at org.knime.dl.python.core.DLPythonAbstractContext.close(DLPythonAbstractContext.java:242) at org.knime.dl.python.core.DLPythonAbstractCommands.close(DLPythonAbstractCommands.java:572) at org.knime.dl.python.core.training.DLPythonAbstractNetworkTrainingSession.close(DLPythonAbstractNetworkTrainingSession.java:162) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:717) ... 14 more Caused by: org.knime.python2.kernel.PythonKernelCleanupException: Failed to clean up Python. See log for details. at org.knime.python2.kernel.Python2KernelBackend.synchronousClose(Python2KernelBackend.java:1340) at org.knime.python2.kernel.Python2KernelBackend.close(Python2KernelBackend.java:1301) at org.knime.python2.kernel.PythonKernel.close(PythonKernel.java:544) at org.knime.dl.python.core.DLPythonAbstractContext.close(DLPythonAbstractContext.java:240) ... 17 more Caused by: java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset at org.knime.python2.kernel.messaging.AbstractMessageLoop.throwExceptionInLoop(AbstractMessageLoop.java:76) at org.knime.python2.kernel.messaging.DefaultMessageReceiverLoop.loop(DefaultMessageReceiverLoop.java:98) at org.knime.python2.kernel.messaging.AbstractMessageLoop.doLoop(AbstractMessageLoop.java:175) at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source) at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source) at java.base/java.lang.Thread.run(Unknown Source) Suppressed: java.lang.Exception: Failed to distribute message from Python. Cause: Message receiver loop terminated. at org.knime.python2.kernel.messaging.AbstractMessageLoop.throwExceptionInLoop(AbstractMessageLoop.java:76) at org.knime.python2.kernel.messaging.MessageDistributorLoop.loop(MessageDistributorLoop.java:93) ... 4 more Caused by: java.io.IOException: Message receiver loop terminated. at org.knime.python2.kernel.messaging.DefaultMessageReceiverLoop.receive(DefaultMessageReceiverLoop.java:82) at org.knime.python2.kernel.messaging.MessageDistributorLoop.loop(MessageDistributorLoop.java:82) ... 4 more Suppressed: [CIRCULAR REFERENCE: java.lang.Exception: Failed to distribute message from Python. Cause: Message receiver loop terminated.] Caused by: java.net.SocketException: Connection reset at java.base/sun.nio.ch.NioSocketImpl.implRead(Unknown Source) at java.base/sun.nio.ch.NioSocketImpl.read(Unknown Source) at java.base/sun.nio.ch.NioSocketImpl$1.read(Unknown Source) at java.base/java.net.Socket$SocketInputStream.read(Unknown Source) at java.base/java.io.DataInputStream.readFully(Unknown Source) at java.base/java.io.DataInputStream.readFully(Unknown Source) at org.knime.python2.kernel.messaging.PythonMessagingUtils.readInt(PythonMessagingUtils.java:91) at org.knime.python2.kernel.messaging.DefaultMessageReceiver.receive(DefaultMessageReceiver.java:80) at org.knime.python2.kernel.messaging.DefaultMessageReceiverLoop.loop(DefaultMessageReceiverLoop.java:92) ... 4 more Caused by: [CIRCULAR REFERENCE: java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset] 2022-12-01 09:59:00,149 : WARN : KNIME-Worker-5-Keras Network Learner 3:24 : : DLKnimeNetworkValidationInputPreparer : Keras Network Learner : 3:24 : The number of rows of the input validation data table (99) is not a multiple of the selected validation batch size (10). Thus, the last batch of each validation phase will continue at the beginning of the validation data table after reaching its end. You can avoid that by adjusting the number of rows of the table or the batch size if desired. 2022-12-01 09:59:02,311 : WARN : Thread-51 : : PythonKernel : Keras Network Learner : 3:24 : C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2022-12-01 09:59:25,457 : ERROR : KNIME-Worker-5-Keras Network Learner 3:24 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:24 : java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset 2022-12-01 09:59:25,459 : ERROR : KNIME-Worker-5-Keras Network Learner 3:24 : : Node : Keras Network Learner : 3:24 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. java.lang.RuntimeException: An error occured during training of the Keras deep learning network. See log for details. at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.handleGeneralException(DLKerasLearnerNodeModel.java:751) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:721) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.execute(DLKerasLearnerNodeModel.java:320) at org.knime.core.node.NodeModel.executeModel(NodeModel.java:549) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1267) at org.knime.core.node.Node.execute(Node.java:1041) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:95) at org.knime.core.node.workflow.NodeExecutionJob.internalRun(NodeExecutionJob.java:201) at org.knime.core.node.workflow.NodeExecutionJob.run(NodeExecutionJob.java:117) at org.knime.core.util.ThreadUtils$RunnableWithContextImpl.runWithContext(ThreadUtils.java:367) at org.knime.core.util.ThreadUtils$RunnableWithContext.run(ThreadUtils.java:221) at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at org.knime.core.util.ThreadPool$MyFuture.run(ThreadPool.java:123) at org.knime.core.util.ThreadPool$Worker.run(ThreadPool.java:246) Caused by: java.io.IOException: java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset at org.knime.dl.python.core.DLPythonAbstractCommands.trainNetwork(DLPythonAbstractCommands.java:555) at org.knime.dl.python.core.training.DLPythonAbstractNetworkTrainingSession.trainInternal(DLPythonAbstractNetworkTrainingSession.java:193) at org.knime.dl.core.training.DLAbstractNetworkTrainingSession.run(DLAbstractNetworkTrainingSession.java:273) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:712) ... 14 more Suppressed: org.knime.dl.core.DLUncheckedException: An exception occured while cleaning up Python. Cause: Failed to clean up Python. See log for details. at org.knime.dl.python.core.DLPythonAbstractContext.close(DLPythonAbstractContext.java:242) at org.knime.dl.python.core.DLPythonAbstractCommands.close(DLPythonAbstractCommands.java:572) at org.knime.dl.python.core.training.DLPythonAbstractNetworkTrainingSession.close(DLPythonAbstractNetworkTrainingSession.java:162) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:717) ... 14 more Caused by: org.knime.python2.kernel.PythonKernelCleanupException: Failed to clean up Python. See log for details. at org.knime.python2.kernel.Python2KernelBackend.synchronousClose(Python2KernelBackend.java:1340) at org.knime.python2.kernel.Python2KernelBackend.close(Python2KernelBackend.java:1301) at org.knime.python2.kernel.PythonKernel.close(PythonKernel.java:544) at org.knime.dl.python.core.DLPythonAbstractContext.close(DLPythonAbstractContext.java:240) ... 17 more Caused by: java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset at org.knime.python2.kernel.messaging.AbstractMessageLoop.throwExceptionInLoop(AbstractMessageLoop.java:76) at org.knime.python2.kernel.messaging.DefaultMessageReceiverLoop.loop(DefaultMessageReceiverLoop.java:98) at org.knime.python2.kernel.messaging.AbstractMessageLoop.doLoop(AbstractMessageLoop.java:175) at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source) at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source) at java.base/java.lang.Thread.run(Unknown Source) Suppressed: java.lang.Exception: Failed to distribute message from Python. Cause: Message receiver loop terminated. at org.knime.python2.kernel.messaging.AbstractMessageLoop.throwExceptionInLoop(AbstractMessageLoop.java:76) at org.knime.python2.kernel.messaging.MessageDistributorLoop.loop(MessageDistributorLoop.java:93) ... 4 more Caused by: java.io.IOException: Message receiver loop terminated. at org.knime.python2.kernel.messaging.DefaultMessageReceiverLoop.receive(DefaultMessageReceiverLoop.java:82) at org.knime.python2.kernel.messaging.MessageDistributorLoop.loop(MessageDistributorLoop.java:82) ... 4 more Suppressed: [CIRCULAR REFERENCE: java.lang.Exception: Failed to distribute message from Python. Cause: Message receiver loop terminated.] Caused by: java.net.SocketException: Connection reset at java.base/sun.nio.ch.NioSocketImpl.implRead(Unknown Source) at java.base/sun.nio.ch.NioSocketImpl.read(Unknown Source) at java.base/sun.nio.ch.NioSocketImpl$1.read(Unknown Source) at java.base/java.net.Socket$SocketInputStream.read(Unknown Source) at java.base/java.io.DataInputStream.readFully(Unknown Source) at java.base/java.io.DataInputStream.readFully(Unknown Source) at org.knime.python2.kernel.messaging.PythonMessagingUtils.readInt(PythonMessagingUtils.java:91) at org.knime.python2.kernel.messaging.DefaultMessageReceiver.receive(DefaultMessageReceiver.java:80) at org.knime.python2.kernel.messaging.DefaultMessageReceiverLoop.loop(DefaultMessageReceiverLoop.java:92) ... 4 more Caused by: [CIRCULAR REFERENCE: java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset] 2022-12-01 10:52:00,461 : WARN : ModalContext : : Node : Local File Browser Configuration : 5:293:0:291 : No such file: "F:\Medaka-eggs\Merge1-2-eggs.csv" 2022-12-01 10:52:00,474 : WARN : ModalContext : : Node : Local File Browser Configuration : 5:293:0:291 : No such file: "D:\TEMP\Examples-LaurentPaper\AnnotationsRaw.csv" 2022-12-01 10:52:00,862 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Errors during load: Status: Error: Train-VGG16-binary.knwf 5 loaded with errors 2022-12-01 10:52:00,862 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: Error: Train-VGG16-binary.knwf 5 2022-12-01 10:52:00,863 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: Error: Node "Scorer (JavaScript)" not available from extension "KNIME JavaScript Views (Labs)" (provided by "KNIME AG, Zurich, Switzerland"; plugin "org.knime.js.views.labs" is not installed) 2022-12-01 10:52:00,863 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: Warning: Read classification table 5:293 2022-12-01 10:52:00,863 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: Warning: Local File Browser Configuration 5:293:0:291 2022-12-01 10:52:00,863 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: Warning: State has changed from CONFIGURED to IDLE 2022-12-01 10:52:00,863 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: Error: Get image path 5:330 2022-12-01 10:52:00,863 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: Error: Node "Column Expressions" not available from extension "KNIME Expressions" (provided by "KNIME AG, Zurich, Switzerland"; plugin "org.knime.expressions.base" is not installed) 2022-12-01 10:52:00,863 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: Error: Format output 5:313 2022-12-01 10:52:00,863 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: Error: Node "Column Expressions" not available from extension "KNIME Expressions" (provided by "KNIME AG, Zurich, Switzerland"; plugin "org.knime.expressions.base" is not installed) 2022-12-01 10:52:23,758 : WARN : ModalContext : : CheckUpdateMetaNodeLinkAction : : : Unable to check for update on node "Get image path 5:330": Cannot resolve to local file: resource '/Users/l.thomas/Public/Qualitative-Annotations/Get image path' does not exist org.eclipse.core.runtime.CoreException: Cannot resolve to local file: resource '/Users/l.thomas/Public/Qualitative-Annotations/Get image path' does not exist at com.knime.explorer.server.rest.RestServerExplorerFileStore.throwCoreException(RestServerExplorerFileStore.java:517) at com.knime.explorer.server.rest.RestServerExplorerFileStore.throwCoreException(RestServerExplorerFileStore.java:506) at com.knime.explorer.server.rest.RestServerExplorerFileStore.resolveToLocalFile(RestServerExplorerFileStore.java:1256) at com.knime.explorer.server.rest.RestServerExplorerFileStore.resolveToLocalFileConditional(RestServerExplorerFileStore.java:1276) at org.knime.workbench.explorer.pathresolve.URIToFileResolveImpl.fetchRemoteFileStore(URIToFileResolveImpl.java:200) at org.knime.workbench.explorer.pathresolve.URIToFileResolveImpl.resolveKnimeUriToLocalOrTempFile(URIToFileResolveImpl.java:178) at org.knime.workbench.explorer.pathresolve.URIToFileResolveImpl.resolveToLocalOrTempFileInternal(URIToFileResolveImpl.java:160) at org.knime.workbench.explorer.pathresolve.URIToFileResolveImpl.resolveToLocalOrTempFileConditional(URIToFileResolveImpl.java:194) at org.knime.core.util.pathresolve.ResolverUtil.resolveURItoLocalOrTempFileConditional(ResolverUtil.java:204) at org.knime.core.node.workflow.WorkflowManager.loadMetaNodeTemplate(WorkflowManager.java:7421) at org.knime.core.node.workflow.WorkflowManager.checkUpdateMetaNodeLinkWithCache(WorkflowManager.java:7364) at org.knime.core.node.workflow.WorkflowManager.checkUpdateMetaNodeLink(WorkflowManager.java:7319) at org.knime.workbench.editor2.actions.CheckUpdateMetaNodeLinkAction$CheckUpdateRunnableWithProgress.run(CheckUpdateMetaNodeLinkAction.java:327) at org.eclipse.jface.operation.ModalContext$ModalContextThread.run(ModalContext.java:122) 2022-12-01 10:52:25,377 : WARN : ModalContext : : CheckUpdateMetaNodeLinkAction : : : Unable to check for update on node "Image Pre-Processing 5:331": Cannot resolve to local file: resource '/Users/l.thomas/Public/Qualitative-Annotations/ImageClassification-DeepLearning/Image Pre-Processing' does not exist org.eclipse.core.runtime.CoreException: Cannot resolve to local file: resource '/Users/l.thomas/Public/Qualitative-Annotations/ImageClassification-DeepLearning/Image Pre-Processing' does not exist at com.knime.explorer.server.rest.RestServerExplorerFileStore.throwCoreException(RestServerExplorerFileStore.java:517) at com.knime.explorer.server.rest.RestServerExplorerFileStore.throwCoreException(RestServerExplorerFileStore.java:506) at com.knime.explorer.server.rest.RestServerExplorerFileStore.resolveToLocalFile(RestServerExplorerFileStore.java:1256) at com.knime.explorer.server.rest.RestServerExplorerFileStore.resolveToLocalFileConditional(RestServerExplorerFileStore.java:1276) at org.knime.workbench.explorer.pathresolve.URIToFileResolveImpl.fetchRemoteFileStore(URIToFileResolveImpl.java:200) at org.knime.workbench.explorer.pathresolve.URIToFileResolveImpl.resolveKnimeUriToLocalOrTempFile(URIToFileResolveImpl.java:178) at org.knime.workbench.explorer.pathresolve.URIToFileResolveImpl.resolveToLocalOrTempFileInternal(URIToFileResolveImpl.java:160) at org.knime.workbench.explorer.pathresolve.URIToFileResolveImpl.resolveToLocalOrTempFileConditional(URIToFileResolveImpl.java:194) at org.knime.core.util.pathresolve.ResolverUtil.resolveURItoLocalOrTempFileConditional(ResolverUtil.java:204) at org.knime.core.node.workflow.WorkflowManager.loadMetaNodeTemplate(WorkflowManager.java:7421) at org.knime.core.node.workflow.WorkflowManager.checkUpdateMetaNodeLinkWithCache(WorkflowManager.java:7364) at org.knime.core.node.workflow.WorkflowManager.checkUpdateMetaNodeLink(WorkflowManager.java:7319) at org.knime.workbench.editor2.actions.CheckUpdateMetaNodeLinkAction$CheckUpdateRunnableWithProgress.run(CheckUpdateMetaNodeLinkAction.java:327) at org.eclipse.jface.operation.ModalContext$ModalContextThread.run(ModalContext.java:122) 2022-12-01 10:58:00,373 : WARN : ModalContext : : Node : Local File Browser Configuration : 5:293:0:291 : No such file: "F:\Medaka-eggs\Merge1-2-eggs.csv" 2022-12-01 10:58:00,386 : WARN : ModalContext : : Node : Local File Browser Configuration : 5:293:0:291 : No such file: "D:\TEMP\Examples-LaurentPaper\AnnotationsRaw.csv" 2022-12-01 10:58:00,644 : WARN : ModalContext : : LoadWorkflowRunnable : : : Warnings during load: Status: Warning: Train-VGG16-binary.knwf 5 loaded with warnings 2022-12-01 10:58:00,645 : WARN : ModalContext : : LoadWorkflowRunnable : : : Status: Warning: Train-VGG16-binary.knwf 5 2022-12-01 10:58:00,645 : WARN : ModalContext : : LoadWorkflowRunnable : : : Status: Warning: Read classification table 5:293 2022-12-01 10:58:00,645 : WARN : ModalContext : : LoadWorkflowRunnable : : : Status: Warning: Local File Browser Configuration 5:293:0:291 2022-12-01 10:58:00,645 : WARN : ModalContext : : LoadWorkflowRunnable : : : Status: Warning: State has changed from CONFIGURED to IDLE 2022-12-01 10:58:07,531 : WARN : ModalContext : : CheckUpdateMetaNodeLinkAction : : : Unable to check for update on node "Get image path 5:330": Cannot resolve to local file: resource '/Users/l.thomas/Public/Qualitative-Annotations/Get image path' does not exist org.eclipse.core.runtime.CoreException: Cannot resolve to local file: resource '/Users/l.thomas/Public/Qualitative-Annotations/Get image path' does not exist at com.knime.explorer.server.rest.RestServerExplorerFileStore.throwCoreException(RestServerExplorerFileStore.java:517) at com.knime.explorer.server.rest.RestServerExplorerFileStore.throwCoreException(RestServerExplorerFileStore.java:506) at com.knime.explorer.server.rest.RestServerExplorerFileStore.resolveToLocalFile(RestServerExplorerFileStore.java:1256) at com.knime.explorer.server.rest.RestServerExplorerFileStore.resolveToLocalFileConditional(RestServerExplorerFileStore.java:1276) at org.knime.workbench.explorer.pathresolve.URIToFileResolveImpl.fetchRemoteFileStore(URIToFileResolveImpl.java:200) at org.knime.workbench.explorer.pathresolve.URIToFileResolveImpl.resolveKnimeUriToLocalOrTempFile(URIToFileResolveImpl.java:178) at org.knime.workbench.explorer.pathresolve.URIToFileResolveImpl.resolveToLocalOrTempFileInternal(URIToFileResolveImpl.java:160) at org.knime.workbench.explorer.pathresolve.URIToFileResolveImpl.resolveToLocalOrTempFileConditional(URIToFileResolveImpl.java:194) at org.knime.core.util.pathresolve.ResolverUtil.resolveURItoLocalOrTempFileConditional(ResolverUtil.java:204) at org.knime.core.node.workflow.WorkflowManager.loadMetaNodeTemplate(WorkflowManager.java:7421) at org.knime.core.node.workflow.WorkflowManager.checkUpdateMetaNodeLinkWithCache(WorkflowManager.java:7364) at org.knime.core.node.workflow.WorkflowManager.checkUpdateMetaNodeLink(WorkflowManager.java:7319) at org.knime.workbench.editor2.actions.CheckUpdateMetaNodeLinkAction$CheckUpdateRunnableWithProgress.run(CheckUpdateMetaNodeLinkAction.java:327) at org.eclipse.jface.operation.ModalContext$ModalContextThread.run(ModalContext.java:122) 2022-12-01 10:58:08,543 : WARN : ModalContext : : CheckUpdateMetaNodeLinkAction : : : Unable to check for update on node "Image Pre-Processing 5:331": Cannot resolve to local file: resource '/Users/l.thomas/Public/Qualitative-Annotations/ImageClassification-DeepLearning/Image Pre-Processing' does not exist org.eclipse.core.runtime.CoreException: Cannot resolve to local file: resource '/Users/l.thomas/Public/Qualitative-Annotations/ImageClassification-DeepLearning/Image Pre-Processing' does not exist at com.knime.explorer.server.rest.RestServerExplorerFileStore.throwCoreException(RestServerExplorerFileStore.java:517) at com.knime.explorer.server.rest.RestServerExplorerFileStore.throwCoreException(RestServerExplorerFileStore.java:506) at com.knime.explorer.server.rest.RestServerExplorerFileStore.resolveToLocalFile(RestServerExplorerFileStore.java:1256) at com.knime.explorer.server.rest.RestServerExplorerFileStore.resolveToLocalFileConditional(RestServerExplorerFileStore.java:1276) at org.knime.workbench.explorer.pathresolve.URIToFileResolveImpl.fetchRemoteFileStore(URIToFileResolveImpl.java:200) at org.knime.workbench.explorer.pathresolve.URIToFileResolveImpl.resolveKnimeUriToLocalOrTempFile(URIToFileResolveImpl.java:178) at org.knime.workbench.explorer.pathresolve.URIToFileResolveImpl.resolveToLocalOrTempFileInternal(URIToFileResolveImpl.java:160) at org.knime.workbench.explorer.pathresolve.URIToFileResolveImpl.resolveToLocalOrTempFileConditional(URIToFileResolveImpl.java:194) at org.knime.core.util.pathresolve.ResolverUtil.resolveURItoLocalOrTempFileConditional(ResolverUtil.java:204) at org.knime.core.node.workflow.WorkflowManager.loadMetaNodeTemplate(WorkflowManager.java:7421) at org.knime.core.node.workflow.WorkflowManager.checkUpdateMetaNodeLinkWithCache(WorkflowManager.java:7364) at org.knime.core.node.workflow.WorkflowManager.checkUpdateMetaNodeLink(WorkflowManager.java:7319) at org.knime.workbench.editor2.actions.CheckUpdateMetaNodeLinkAction$CheckUpdateRunnableWithProgress.run(CheckUpdateMetaNodeLinkAction.java:327) at org.eclipse.jface.operation.ModalContext$ModalContextThread.run(ModalContext.java:122) 2022-12-01 11:14:54,438 : WARN : KNIME-Worker-9-Keras Network Learner 3:24 : : DLKnimeNetworkValidationInputPreparer : Keras Network Learner : 3:24 : The number of rows of the input validation data table (99) is not a multiple of the selected validation batch size (10). Thus, the last batch of each validation phase will continue at the beginning of the validation data table after reaching its end. You can avoid that by adjusting the number of rows of the table or the batch size if desired. 2022-12-01 11:14:55,657 : WARN : Thread-72 : : PythonKernel : Keras Network Learner : 3:24 : C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2022-12-01 11:15:14,504 : ERROR : KNIME-Worker-9-Keras Network Learner 3:24 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:24 : java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset 2022-12-01 11:15:14,505 : ERROR : KNIME-Worker-9-Keras Network Learner 3:24 : : Node : Keras Network Learner : 3:24 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. java.lang.RuntimeException: An error occured during training of the Keras deep learning network. See log for details. at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.handleGeneralException(DLKerasLearnerNodeModel.java:751) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:721) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.execute(DLKerasLearnerNodeModel.java:320) at org.knime.core.node.NodeModel.executeModel(NodeModel.java:549) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1267) at org.knime.core.node.Node.execute(Node.java:1041) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:95) at org.knime.core.node.workflow.NodeExecutionJob.internalRun(NodeExecutionJob.java:201) at org.knime.core.node.workflow.NodeExecutionJob.run(NodeExecutionJob.java:117) at org.knime.core.util.ThreadUtils$RunnableWithContextImpl.runWithContext(ThreadUtils.java:367) at org.knime.core.util.ThreadUtils$RunnableWithContext.run(ThreadUtils.java:221) at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at org.knime.core.util.ThreadPool$MyFuture.run(ThreadPool.java:123) at org.knime.core.util.ThreadPool$Worker.run(ThreadPool.java:246) Caused by: java.io.IOException: java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset at org.knime.dl.python.core.DLPythonAbstractCommands.trainNetwork(DLPythonAbstractCommands.java:555) at org.knime.dl.python.core.training.DLPythonAbstractNetworkTrainingSession.trainInternal(DLPythonAbstractNetworkTrainingSession.java:193) at org.knime.dl.core.training.DLAbstractNetworkTrainingSession.run(DLAbstractNetworkTrainingSession.java:273) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:712) ... 14 more Suppressed: org.knime.dl.core.DLUncheckedException: An exception occured while cleaning up Python. Cause: Failed to clean up Python. See log for details. at org.knime.dl.python.core.DLPythonAbstractContext.close(DLPythonAbstractContext.java:242) at org.knime.dl.python.core.DLPythonAbstractCommands.close(DLPythonAbstractCommands.java:572) at org.knime.dl.python.core.training.DLPythonAbstractNetworkTrainingSession.close(DLPythonAbstractNetworkTrainingSession.java:162) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:717) ... 14 more Caused by: org.knime.python2.kernel.PythonKernelCleanupException: Failed to clean up Python. See log for details. at org.knime.python2.kernel.Python2KernelBackend.synchronousClose(Python2KernelBackend.java:1340) at org.knime.python2.kernel.Python2KernelBackend.close(Python2KernelBackend.java:1301) at org.knime.python2.kernel.PythonKernel.close(PythonKernel.java:544) at org.knime.dl.python.core.DLPythonAbstractContext.close(DLPythonAbstractContext.java:240) ... 17 more Caused by: java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset at org.knime.python2.kernel.messaging.AbstractMessageLoop.throwExceptionInLoop(AbstractMessageLoop.java:76) at org.knime.python2.kernel.messaging.DefaultMessageReceiverLoop.loop(DefaultMessageReceiverLoop.java:98) at org.knime.python2.kernel.messaging.AbstractMessageLoop.doLoop(AbstractMessageLoop.java:175) at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source) at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source) at java.base/java.lang.Thread.run(Unknown Source) Suppressed: java.lang.Exception: Failed to distribute message from Python. Cause: Message receiver loop terminated. at org.knime.python2.kernel.messaging.AbstractMessageLoop.throwExceptionInLoop(AbstractMessageLoop.java:76) at org.knime.python2.kernel.messaging.MessageDistributorLoop.loop(MessageDistributorLoop.java:93) ... 4 more Caused by: java.io.IOException: Message receiver loop terminated. at org.knime.python2.kernel.messaging.DefaultMessageReceiverLoop.receive(DefaultMessageReceiverLoop.java:82) at org.knime.python2.kernel.messaging.MessageDistributorLoop.loop(MessageDistributorLoop.java:82) ... 4 more Suppressed: [CIRCULAR REFERENCE: java.lang.Exception: Failed to distribute message from Python. Cause: Message receiver loop terminated.] Caused by: java.net.SocketException: Connection reset at java.base/sun.nio.ch.NioSocketImpl.implRead(Unknown Source) at java.base/sun.nio.ch.NioSocketImpl.read(Unknown Source) at java.base/sun.nio.ch.NioSocketImpl$1.read(Unknown Source) at java.base/java.net.Socket$SocketInputStream.read(Unknown Source) at java.base/java.io.DataInputStream.readFully(Unknown Source) at java.base/java.io.DataInputStream.readFully(Unknown Source) at org.knime.python2.kernel.messaging.PythonMessagingUtils.readInt(PythonMessagingUtils.java:91) at org.knime.python2.kernel.messaging.DefaultMessageReceiver.receive(DefaultMessageReceiver.java:80) at org.knime.python2.kernel.messaging.DefaultMessageReceiverLoop.loop(DefaultMessageReceiverLoop.java:92) ... 4 more Caused by: [CIRCULAR REFERENCE: java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset] 2022-12-01 16:42:18,886 : WARN : KNIME-Worker-7-Keras Network Learner 3:24 : : DLKnimeNetworkValidationInputPreparer : Keras Network Learner : 3:24 : The number of rows of the input validation data table (99) is not a multiple of the selected validation batch size (10). Thus, the last batch of each validation phase will continue at the beginning of the validation data table after reaching its end. You can avoid that by adjusting the number of rows of the table or the batch size if desired. 2022-12-01 16:42:19,846 : WARN : Thread-165 : : PythonKernel : Keras Network Learner : 3:24 : C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2022-12-01 16:42:52,571 : ERROR : KNIME-Worker-7-Keras Network Learner 3:24 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:24 : java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset 2022-12-01 16:42:52,571 : ERROR : KNIME-Worker-7-Keras Network Learner 3:24 : : Node : Keras Network Learner : 3:24 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. java.lang.RuntimeException: An error occured during training of the Keras deep learning network. See log for details. at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.handleGeneralException(DLKerasLearnerNodeModel.java:751) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:721) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.execute(DLKerasLearnerNodeModel.java:320) at org.knime.core.node.NodeModel.executeModel(NodeModel.java:549) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1267) at org.knime.core.node.Node.execute(Node.java:1041) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:95) at org.knime.core.node.workflow.NodeExecutionJob.internalRun(NodeExecutionJob.java:201) at org.knime.core.node.workflow.NodeExecutionJob.run(NodeExecutionJob.java:117) at org.knime.core.util.ThreadUtils$RunnableWithContextImpl.runWithContext(ThreadUtils.java:367) at org.knime.core.util.ThreadUtils$RunnableWithContext.run(ThreadUtils.java:221) at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at org.knime.core.util.ThreadPool$MyFuture.run(ThreadPool.java:123) at org.knime.core.util.ThreadPool$Worker.run(ThreadPool.java:246) Caused by: java.io.IOException: java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset at org.knime.dl.python.core.DLPythonAbstractCommands.trainNetwork(DLPythonAbstractCommands.java:555) at org.knime.dl.python.core.training.DLPythonAbstractNetworkTrainingSession.trainInternal(DLPythonAbstractNetworkTrainingSession.java:193) at org.knime.dl.core.training.DLAbstractNetworkTrainingSession.run(DLAbstractNetworkTrainingSession.java:273) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:712) ... 14 more Suppressed: org.knime.dl.core.DLUncheckedException: An exception occured while cleaning up Python. Cause: Failed to clean up Python. See log for details. at org.knime.dl.python.core.DLPythonAbstractContext.close(DLPythonAbstractContext.java:242) at org.knime.dl.python.core.DLPythonAbstractCommands.close(DLPythonAbstractCommands.java:572) at org.knime.dl.python.core.training.DLPythonAbstractNetworkTrainingSession.close(DLPythonAbstractNetworkTrainingSession.java:162) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:717) ... 14 more Caused by: org.knime.python2.kernel.PythonKernelCleanupException: Failed to clean up Python. See log for details. at org.knime.python2.kernel.Python2KernelBackend.synchronousClose(Python2KernelBackend.java:1340) at org.knime.python2.kernel.Python2KernelBackend.close(Python2KernelBackend.java:1301) at org.knime.python2.kernel.PythonKernel.close(PythonKernel.java:544) at org.knime.dl.python.core.DLPythonAbstractContext.close(DLPythonAbstractContext.java:240) ... 17 more Caused by: java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset at org.knime.python2.kernel.messaging.AbstractMessageLoop.throwExceptionInLoop(AbstractMessageLoop.java:76) at org.knime.python2.kernel.messaging.DefaultMessageReceiverLoop.loop(DefaultMessageReceiverLoop.java:98) at org.knime.python2.kernel.messaging.AbstractMessageLoop.doLoop(AbstractMessageLoop.java:175) at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source) at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source) at java.base/java.lang.Thread.run(Unknown Source) Suppressed: java.lang.Exception: Failed to distribute message from Python. Cause: Message receiver loop terminated. at org.knime.python2.kernel.messaging.AbstractMessageLoop.throwExceptionInLoop(AbstractMessageLoop.java:76) at org.knime.python2.kernel.messaging.MessageDistributorLoop.loop(MessageDistributorLoop.java:93) ... 4 more Caused by: java.io.IOException: Message receiver loop terminated. at org.knime.python2.kernel.messaging.DefaultMessageReceiverLoop.receive(DefaultMessageReceiverLoop.java:82) at org.knime.python2.kernel.messaging.MessageDistributorLoop.loop(MessageDistributorLoop.java:82) ... 4 more Suppressed: [CIRCULAR REFERENCE: java.lang.Exception: Failed to distribute message from Python. Cause: Message receiver loop terminated.] Caused by: java.net.SocketException: Connection reset at java.base/sun.nio.ch.NioSocketImpl.implRead(Unknown Source) at java.base/sun.nio.ch.NioSocketImpl.read(Unknown Source) at java.base/sun.nio.ch.NioSocketImpl$1.read(Unknown Source) at java.base/java.net.Socket$SocketInputStream.read(Unknown Source) at java.base/java.io.DataInputStream.readFully(Unknown Source) at java.base/java.io.DataInputStream.readFully(Unknown Source) at org.knime.python2.kernel.messaging.PythonMessagingUtils.readInt(PythonMessagingUtils.java:91) at org.knime.python2.kernel.messaging.DefaultMessageReceiver.receive(DefaultMessageReceiver.java:80) at org.knime.python2.kernel.messaging.DefaultMessageReceiverLoop.loop(DefaultMessageReceiverLoop.java:92) ... 4 more Caused by: [CIRCULAR REFERENCE: java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset] 2022-12-01 16:51:28,893 : WARN : KNIME-Worker-10-Keras Network Learner 3:24 : : DLKnimeNetworkValidationInputPreparer : Keras Network Learner : 3:24 : The number of rows of the input validation data table (99) is not a multiple of the selected validation batch size (10). Thus, the last batch of each validation phase will continue at the beginning of the validation data table after reaching its end. You can avoid that by adjusting the number of rows of the table or the batch size if desired. 2022-12-01 16:51:29,787 : WARN : Thread-193 : : PythonKernel : Keras Network Learner : 3:24 : C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2022-12-01 16:51:58,316 : ERROR : KNIME-Worker-10-Keras Network Learner 3:24 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:24 : java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset 2022-12-01 16:51:58,317 : ERROR : KNIME-Worker-10-Keras Network Learner 3:24 : : Node : Keras Network Learner : 3:24 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. java.lang.RuntimeException: An error occured during training of the Keras deep learning network. See log for details. at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.handleGeneralException(DLKerasLearnerNodeModel.java:751) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:721) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.execute(DLKerasLearnerNodeModel.java:320) at org.knime.core.node.NodeModel.executeModel(NodeModel.java:549) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1267) at org.knime.core.node.Node.execute(Node.java:1041) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:95) at org.knime.core.node.workflow.NodeExecutionJob.internalRun(NodeExecutionJob.java:201) at org.knime.core.node.workflow.NodeExecutionJob.run(NodeExecutionJob.java:117) at org.knime.core.util.ThreadUtils$RunnableWithContextImpl.runWithContext(ThreadUtils.java:367) at org.knime.core.util.ThreadUtils$RunnableWithContext.run(ThreadUtils.java:221) at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at org.knime.core.util.ThreadPool$MyFuture.run(ThreadPool.java:123) at org.knime.core.util.ThreadPool$Worker.run(ThreadPool.java:246) Caused by: java.io.IOException: java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset at org.knime.dl.python.core.DLPythonAbstractCommands.trainNetwork(DLPythonAbstractCommands.java:555) at org.knime.dl.python.core.training.DLPythonAbstractNetworkTrainingSession.trainInternal(DLPythonAbstractNetworkTrainingSession.java:193) at org.knime.dl.core.training.DLAbstractNetworkTrainingSession.run(DLAbstractNetworkTrainingSession.java:273) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:712) ... 14 more Suppressed: org.knime.dl.core.DLUncheckedException: An exception occured while cleaning up Python. Cause: Failed to clean up Python. See log for details. at org.knime.dl.python.core.DLPythonAbstractContext.close(DLPythonAbstractContext.java:242) at org.knime.dl.python.core.DLPythonAbstractCommands.close(DLPythonAbstractCommands.java:572) at org.knime.dl.python.core.training.DLPythonAbstractNetworkTrainingSession.close(DLPythonAbstractNetworkTrainingSession.java:162) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:717) ... 14 more Caused by: org.knime.python2.kernel.PythonKernelCleanupException: Failed to clean up Python. See log for details. at org.knime.python2.kernel.Python2KernelBackend.synchronousClose(Python2KernelBackend.java:1340) at org.knime.python2.kernel.Python2KernelBackend.close(Python2KernelBackend.java:1301) at org.knime.python2.kernel.PythonKernel.close(PythonKernel.java:544) at org.knime.dl.python.core.DLPythonAbstractContext.close(DLPythonAbstractContext.java:240) ... 17 more Caused by: java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset at org.knime.python2.kernel.messaging.AbstractMessageLoop.throwExceptionInLoop(AbstractMessageLoop.java:76) at org.knime.python2.kernel.messaging.DefaultMessageReceiverLoop.loop(DefaultMessageReceiverLoop.java:98) at org.knime.python2.kernel.messaging.AbstractMessageLoop.doLoop(AbstractMessageLoop.java:175) at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source) at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source) at java.base/java.lang.Thread.run(Unknown Source) Suppressed: java.lang.Exception: Failed to distribute message from Python. Cause: Message receiver loop terminated. at org.knime.python2.kernel.messaging.AbstractMessageLoop.throwExceptionInLoop(AbstractMessageLoop.java:76) at org.knime.python2.kernel.messaging.MessageDistributorLoop.loop(MessageDistributorLoop.java:93) ... 4 more Caused by: java.io.IOException: Message receiver loop terminated. at org.knime.python2.kernel.messaging.DefaultMessageReceiverLoop.receive(DefaultMessageReceiverLoop.java:82) at org.knime.python2.kernel.messaging.MessageDistributorLoop.loop(MessageDistributorLoop.java:82) ... 4 more Suppressed: [CIRCULAR REFERENCE: java.lang.Exception: Failed to distribute message from Python. Cause: Message receiver loop terminated.] Caused by: java.net.SocketException: Connection reset at java.base/sun.nio.ch.NioSocketImpl.implRead(Unknown Source) at java.base/sun.nio.ch.NioSocketImpl.read(Unknown Source) at java.base/sun.nio.ch.NioSocketImpl$1.read(Unknown Source) at java.base/java.net.Socket$SocketInputStream.read(Unknown Source) at java.base/java.io.DataInputStream.readFully(Unknown Source) at java.base/java.io.DataInputStream.readFully(Unknown Source) at org.knime.python2.kernel.messaging.PythonMessagingUtils.readInt(PythonMessagingUtils.java:91) at org.knime.python2.kernel.messaging.DefaultMessageReceiver.receive(DefaultMessageReceiver.java:80) at org.knime.python2.kernel.messaging.DefaultMessageReceiverLoop.loop(DefaultMessageReceiverLoop.java:92) ... 4 more Caused by: [CIRCULAR REFERENCE: java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset] 2022-12-03 15:11:47,158 : WARN : ModalContext : : Node : Local File Browser Configuration : 3:293:0:291 : No such file: "F:\Medaka-eggs\Merge1-2-eggs.csv" 2022-12-03 15:11:47,188 : WARN : ModalContext : : Node : Local File Browser Configuration : 3:293:0:291 : No such file: "D:\TEMP\Examples-LaurentPaper\AnnotationsRaw.csv" 2022-12-03 15:11:47,293 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Workflow could not be loaded. No such node ID: 3:0:0:8 java.lang.IllegalArgumentException: No such node ID: 3:0:0:8 at org.knime.core.node.workflow.WorkflowManager.getNodeContainer(WorkflowManager.java:6997) at org.knime.core.node.workflow.SubNodeContainer.getVirtualInNode(SubNodeContainer.java:700) at org.knime.core.node.workflow.SubNodeContainer.getVirtualInNodeModel(SubNodeContainer.java:705) at org.knime.core.node.workflow.SubNodeContainer.cleanup(SubNodeContainer.java:1565) at org.knime.core.node.workflow.WorkflowManager.removeNode(WorkflowManager.java:1059) at org.knime.core.node.workflow.WorkflowManager.loadContent(WorkflowManager.java:8682) at org.knime.core.node.workflow.WorkflowManager.postLoad(WorkflowManager.java:8793) at org.knime.core.node.workflow.WorkflowManager.loadContent(WorkflowManager.java:8679) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8543) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8464) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8437) at org.knime.core.node.workflow.WorkflowManager.loadProject(WorkflowManager.java:8282) at org.knime.workbench.editor2.LoadWorkflowRunnable.run(LoadWorkflowRunnable.java:185) at org.eclipse.jface.operation.ModalContext$ModalContextThread.run(ModalContext.java:122) 2022-12-03 15:12:39,142 : WARN : main : : Node : Keras Network Learner : 4:27 : Selected input columns provide more elements (3) than neurons available (2) for network input 'input_1_0:0'. Try removing some columns from the selection. 2022-12-03 15:12:45,254 : WARN : main : : Node : Keras Network Learner : 4:27 : Selected input columns provide more elements (3) than neurons available (2) for network input 'input_1_0:0'. Try removing some columns from the selection. 2022-12-03 15:13:26,002 : WARN : KNIME-Worker-6-Keras Network Learner 4:27 : : DLKnimeNetworkTrainingInputPreparer : Keras Network Learner : 4:27 : The number of rows of the input training data table (2310) is not a multiple of the selected training batch size (100). Thus, the last batch of each epoch will continue at the beginning of the training data table after reaching its end. You can avoid that by adjusting the number of rows of the table or the batch size if desired. 2022-12-03 15:13:26,004 : WARN : KNIME-Worker-6-Keras Network Learner 4:27 : : DLKnimeNetworkValidationInputPreparer : Keras Network Learner : 4:27 : The number of rows of the input validation data table (99) is not a multiple of the selected validation batch size (100). Thus, the last batch of each validation phase will continue at the beginning of the validation data table after reaching its end. You can avoid that by adjusting the number of rows of the table or the batch size if desired. 2022-12-03 15:13:27,159 : WARN : Thread-43 : : PythonKernel : Keras Network Learner : 4:27 : C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2022-12-03 15:13:38,740 : ERROR : KNIME-Worker-6-Keras Network Learner 4:27 : : DLKerasLearnerNodeModel : Keras Network Learner : 4:27 : Blas GEMM launch failed : a.shape=(100, 2), b.shape=(2, 4), m=100, n=4, k=2 [[{{node dense_1/MatMul}} = MatMul[T=DT_FLOAT, _class=["loc:@training/Adadelta/gradients/dense_1/MatMul_grad/MatMul_1"], transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/device:GPU:0"](_arg_input_1_0_0/_51, dense_1/kernel/read)]] [[{{node metrics/acc/Mean_1/_73}} = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_499_metrics/acc/Mean_1", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]] 2022-12-03 15:13:38,741 : ERROR : KNIME-Worker-6-Keras Network Learner 4:27 : : Node : Keras Network Learner : 4:27 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. java.lang.RuntimeException: An error occured during training of the Keras deep learning network. See log for details. at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.handleGeneralException(DLKerasLearnerNodeModel.java:751) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:721) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.execute(DLKerasLearnerNodeModel.java:320) at org.knime.core.node.NodeModel.executeModel(NodeModel.java:549) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1267) at org.knime.core.node.Node.execute(Node.java:1041) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:95) at org.knime.core.node.workflow.NodeExecutionJob.internalRun(NodeExecutionJob.java:201) at org.knime.core.node.workflow.NodeExecutionJob.run(NodeExecutionJob.java:117) at org.knime.core.util.ThreadUtils$RunnableWithContextImpl.runWithContext(ThreadUtils.java:367) at org.knime.core.util.ThreadUtils$RunnableWithContext.run(ThreadUtils.java:221) at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at org.knime.core.util.ThreadPool$MyFuture.run(ThreadPool.java:123) at org.knime.core.util.ThreadPool$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: Blas GEMM launch failed : a.shape=(100, 2), b.shape=(2, 4), m=100, n=4, k=2 [[{{node dense_1/MatMul}} = MatMul[T=DT_FLOAT, _class=["loc:@training/Adadelta/gradients/dense_1/MatMul_grad/MatMul_1"], transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/device:GPU:0"](_arg_input_1_0_0/_51, dense_1/kernel/read)]] [[{{node metrics/acc/Mean_1/_73}} = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_499_metrics/acc/Mean_1", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]] at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$DLTrainingTask.runInternal(DLPythonAbstractCommands.java:931) at org.knime.core.util.ThreadUtils$CallableWithContextImpl.callWithContext(ThreadUtils.java:383) at org.knime.core.util.ThreadUtils$CallableWithContext.call(ThreadUtils.java:269) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source) at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source) at java.base/java.lang.Thread.run(Unknown Source) 2022-12-03 15:19:55,751 : WARN : KNIME-Worker-9-Keras Network Learner 4:27 : : DLKnimeNetworkTrainingInputPreparer : Keras Network Learner : 4:27 : The number of rows of the input training data table (2310) is not a multiple of the selected training batch size (100). Thus, the last batch of each epoch will continue at the beginning of the training data table after reaching its end. You can avoid that by adjusting the number of rows of the table or the batch size if desired. 2022-12-03 15:19:55,754 : WARN : KNIME-Worker-9-Keras Network Learner 4:27 : : DLKnimeNetworkValidationInputPreparer : Keras Network Learner : 4:27 : The number of rows of the input validation data table (99) is not a multiple of the selected validation batch size (100). Thus, the last batch of each validation phase will continue at the beginning of the validation data table after reaching its end. You can avoid that by adjusting the number of rows of the table or the batch size if desired. 2022-12-03 15:19:58,045 : WARN : Thread-61 : : PythonKernel : Keras Network Learner : 4:27 : C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2022-12-03 15:20:01,450 : ERROR : KNIME-Worker-9-Keras Network Learner 4:27 : : DLKerasLearnerNodeModel : Keras Network Learner : 4:27 : Blas GEMM launch failed : a.shape=(100, 2), b.shape=(2, 4), m=100, n=4, k=2 [[{{node dense_1/MatMul}} = MatMul[T=DT_FLOAT, _class=["loc:@training/Adam/gradients/dense_1/MatMul_grad/MatMul_1"], transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/device:GPU:0"](_arg_input_1_0_0/_63, dense_1/kernel/read)]] [[{{node loss/mul/_83}} = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_484_loss/mul", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]] 2022-12-03 15:20:01,450 : ERROR : KNIME-Worker-9-Keras Network Learner 4:27 : : Node : Keras Network Learner : 4:27 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. java.lang.RuntimeException: An error occured during training of the Keras deep learning network. See log for details. at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.handleGeneralException(DLKerasLearnerNodeModel.java:751) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:721) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.execute(DLKerasLearnerNodeModel.java:320) at org.knime.core.node.NodeModel.executeModel(NodeModel.java:549) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1267) at org.knime.core.node.Node.execute(Node.java:1041) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:95) at org.knime.core.node.workflow.NodeExecutionJob.internalRun(NodeExecutionJob.java:201) at org.knime.core.node.workflow.NodeExecutionJob.run(NodeExecutionJob.java:117) at org.knime.core.util.ThreadUtils$RunnableWithContextImpl.runWithContext(ThreadUtils.java:367) at org.knime.core.util.ThreadUtils$RunnableWithContext.run(ThreadUtils.java:221) at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at org.knime.core.util.ThreadPool$MyFuture.run(ThreadPool.java:123) at org.knime.core.util.ThreadPool$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: Blas GEMM launch failed : a.shape=(100, 2), b.shape=(2, 4), m=100, n=4, k=2 [[{{node dense_1/MatMul}} = MatMul[T=DT_FLOAT, _class=["loc:@training/Adam/gradients/dense_1/MatMul_grad/MatMul_1"], transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/device:GPU:0"](_arg_input_1_0_0/_63, dense_1/kernel/read)]] [[{{node loss/mul/_83}} = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_484_loss/mul", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]] at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$DLTrainingTask.runInternal(DLPythonAbstractCommands.java:931) at org.knime.core.util.ThreadUtils$CallableWithContextImpl.callWithContext(ThreadUtils.java:383) at org.knime.core.util.ThreadUtils$CallableWithContext.call(ThreadUtils.java:269) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source) at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source) at java.base/java.lang.Thread.run(Unknown Source) 2022-12-05 10:29:58,255 : WARN : KNIME-Worker-6-Keras Network Learner 3:27 : : DLKnimeNetworkTrainingInputPreparer : Keras Network Learner : 3:27 : The number of rows of the input training data table (2310) is not a multiple of the selected training batch size (100). Thus, the last batch of each epoch will continue at the beginning of the training data table after reaching its end. You can avoid that by adjusting the number of rows of the table or the batch size if desired. 2022-12-05 10:29:58,257 : WARN : KNIME-Worker-6-Keras Network Learner 3:27 : : DLKnimeNetworkValidationInputPreparer : Keras Network Learner : 3:27 : The number of rows of the input validation data table (99) is not a multiple of the selected validation batch size (100). Thus, the last batch of each validation phase will continue at the beginning of the validation data table after reaching its end. You can avoid that by adjusting the number of rows of the table or the batch size if desired. 2022-12-05 10:29:59,425 : WARN : Thread-45 : : PythonKernel : Keras Network Learner : 3:27 : C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2022-12-05 10:30:03,062 : ERROR : KNIME-Worker-6-Keras Network Learner 3:27 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:27 : Blas GEMM launch failed : a.shape=(100, 2), b.shape=(2, 4), m=100, n=4, k=2 [[{{node dense_1/MatMul}} = MatMul[T=DT_FLOAT, _class=["loc:@training/Adam/gradients/dense_1/MatMul_grad/MatMul_1"], transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/device:GPU:0"](_arg_input_1_0_0/_63, dense_1/kernel/read)]] [[{{node loss/mul/_83}} = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_484_loss/mul", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]] 2022-12-05 10:30:03,063 : ERROR : KNIME-Worker-6-Keras Network Learner 3:27 : : Node : Keras Network Learner : 3:27 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. java.lang.RuntimeException: An error occured during training of the Keras deep learning network. See log for details. at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.handleGeneralException(DLKerasLearnerNodeModel.java:751) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:721) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.execute(DLKerasLearnerNodeModel.java:320) at org.knime.core.node.NodeModel.executeModel(NodeModel.java:549) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1267) at org.knime.core.node.Node.execute(Node.java:1041) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:95) at org.knime.core.node.workflow.NodeExecutionJob.internalRun(NodeExecutionJob.java:201) at org.knime.core.node.workflow.NodeExecutionJob.run(NodeExecutionJob.java:117) at org.knime.core.util.ThreadUtils$RunnableWithContextImpl.runWithContext(ThreadUtils.java:367) at org.knime.core.util.ThreadUtils$RunnableWithContext.run(ThreadUtils.java:221) at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at org.knime.core.util.ThreadPool$MyFuture.run(ThreadPool.java:123) at org.knime.core.util.ThreadPool$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: Blas GEMM launch failed : a.shape=(100, 2), b.shape=(2, 4), m=100, n=4, k=2 [[{{node dense_1/MatMul}} = MatMul[T=DT_FLOAT, _class=["loc:@training/Adam/gradients/dense_1/MatMul_grad/MatMul_1"], transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/device:GPU:0"](_arg_input_1_0_0/_63, dense_1/kernel/read)]] [[{{node loss/mul/_83}} = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_484_loss/mul", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]] at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$DLTrainingTask.runInternal(DLPythonAbstractCommands.java:931) at org.knime.core.util.ThreadUtils$CallableWithContextImpl.callWithContext(ThreadUtils.java:383) at org.knime.core.util.ThreadUtils$CallableWithContext.call(ThreadUtils.java:269) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source) at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source) at java.base/java.lang.Thread.run(Unknown Source) 2022-12-05 10:32:46,736 : WARN : KNIME-Worker-5-Keras Network Learner 3:27 : : DLKnimeNetworkTrainingInputPreparer : Keras Network Learner : 3:27 : The number of rows of the input training data table (2310) is not a multiple of the selected training batch size (100). Thus, the last batch of each epoch will continue at the beginning of the training data table after reaching its end. You can avoid that by adjusting the number of rows of the table or the batch size if desired. 2022-12-05 10:32:46,739 : WARN : KNIME-Worker-5-Keras Network Learner 3:27 : : DLKnimeNetworkValidationInputPreparer : Keras Network Learner : 3:27 : The number of rows of the input validation data table (99) is not a multiple of the selected validation batch size (100). Thus, the last batch of each validation phase will continue at the beginning of the validation data table after reaching its end. You can avoid that by adjusting the number of rows of the table or the batch size if desired. 2022-12-05 10:32:47,874 : WARN : Thread-27 : : PythonKernel : Keras Network Learner : 3:27 : C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2022-12-05 10:32:50,879 : ERROR : KNIME-Worker-5-Keras Network Learner 3:27 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:27 : Blas GEMM launch failed : a.shape=(100, 2), b.shape=(2, 4), m=100, n=4, k=2 [[{{node dense_1/MatMul}} = MatMul[T=DT_FLOAT, _class=["loc:@training/Adam/gradients/dense_1/MatMul_grad/MatMul_1"], transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/device:GPU:0"](_arg_input_1_0_0/_63, dense_1/kernel/read)]] [[{{node loss/mul/_83}} = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_484_loss/mul", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]] 2022-12-05 10:32:50,880 : ERROR : KNIME-Worker-5-Keras Network Learner 3:27 : : Node : Keras Network Learner : 3:27 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. java.lang.RuntimeException: An error occured during training of the Keras deep learning network. See log for details. at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.handleGeneralException(DLKerasLearnerNodeModel.java:751) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:721) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.execute(DLKerasLearnerNodeModel.java:320) at org.knime.core.node.NodeModel.executeModel(NodeModel.java:549) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1267) at org.knime.core.node.Node.execute(Node.java:1041) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:95) at org.knime.core.node.workflow.NodeExecutionJob.internalRun(NodeExecutionJob.java:201) at org.knime.core.node.workflow.NodeExecutionJob.run(NodeExecutionJob.java:117) at org.knime.core.util.ThreadUtils$RunnableWithContextImpl.runWithContext(ThreadUtils.java:367) at org.knime.core.util.ThreadUtils$RunnableWithContext.run(ThreadUtils.java:221) at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at org.knime.core.util.ThreadPool$MyFuture.run(ThreadPool.java:123) at org.knime.core.util.ThreadPool$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: Blas GEMM launch failed : a.shape=(100, 2), b.shape=(2, 4), m=100, n=4, k=2 [[{{node dense_1/MatMul}} = MatMul[T=DT_FLOAT, _class=["loc:@training/Adam/gradients/dense_1/MatMul_grad/MatMul_1"], transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/device:GPU:0"](_arg_input_1_0_0/_63, dense_1/kernel/read)]] [[{{node loss/mul/_83}} = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_484_loss/mul", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]] at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$DLTrainingTask.runInternal(DLPythonAbstractCommands.java:931) at org.knime.core.util.ThreadUtils$CallableWithContextImpl.callWithContext(ThreadUtils.java:383) at org.knime.core.util.ThreadUtils$CallableWithContext.call(ThreadUtils.java:269) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source) at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source) at java.base/java.lang.Thread.run(Unknown Source) 2022-12-05 10:45:19,933 : WARN : ModalContext : : FileNodePersistor : Extract System Properties : 3:1 : Unable to load port content for node "Extract System Properties": Unknown table format org.knime.parquet.ParquetTableStoreFormat -- is the extension installed? org.knime.core.data.container.storage.TableStoreFormatUnknownException: Unknown table format org.knime.parquet.ParquetTableStoreFormat -- is the extension installed? at org.knime.core.data.container.storage.TableStoreFormatRegistry.lambda$12(TableStoreFormatRegistry.java:217) at java.base/java.util.Optional.orElseThrow(Unknown Source) at org.knime.core.data.container.storage.TableStoreFormatRegistry.getTableStoreFormat(TableStoreFormatRegistry.java:217) at org.knime.core.node.BufferedDataTable.checkFormat(BufferedDataTable.java:906) at org.knime.core.node.BufferedDataTable.loadFromFile(BufferedDataTable.java:813) at org.knime.core.node.FileNodePersistor.loadBufferedDataTable(FileNodePersistor.java:477) at org.knime.core.node.FileNodePersistor.loadPort(FileNodePersistor.java:366) at org.knime.core.node.FileNodePersistor.loadPorts(FileNodePersistor.java:330) at org.knime.core.node.FileNodePersistor.load(FileNodePersistor.java:995) at org.knime.core.node.workflow.FileNativeNodeContainerPersistor.loadNCAndWashModelSettings(FileNativeNodeContainerPersistor.java:254) at org.knime.core.node.workflow.FileSingleNodeContainerPersistor.loadNodeContainer(FileSingleNodeContainerPersistor.java:268) at org.knime.core.node.workflow.WorkflowManager.postLoad(WorkflowManager.java:8777) at org.knime.core.node.workflow.WorkflowManager.loadContent(WorkflowManager.java:8679) at org.knime.core.node.workflow.WorkflowManager.postLoad(WorkflowManager.java:8793) at org.knime.core.node.workflow.WorkflowManager.loadContent(WorkflowManager.java:8679) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8543) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8464) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8437) at org.knime.core.node.workflow.WorkflowManager.loadProject(WorkflowManager.java:8282) at org.knime.workbench.editor2.LoadWorkflowRunnable.run(LoadWorkflowRunnable.java:185) at org.eclipse.jface.operation.ModalContext$ModalContextThread.run(ModalContext.java:122) 2022-12-05 10:45:40,011 : WARN : ModalContext : : FileNodePersistor : Rule-based Row Filter : 3:5 : Unable to load port content for node "Rule-based Row Filter": Unknown table format org.knime.parquet.ParquetTableStoreFormat -- is the extension installed? org.knime.core.data.container.storage.TableStoreFormatUnknownException: Unknown table format org.knime.parquet.ParquetTableStoreFormat -- is the extension installed? at org.knime.core.data.container.storage.TableStoreFormatRegistry.lambda$12(TableStoreFormatRegistry.java:217) at java.base/java.util.Optional.orElseThrow(Unknown Source) at org.knime.core.data.container.storage.TableStoreFormatRegistry.getTableStoreFormat(TableStoreFormatRegistry.java:217) at org.knime.core.node.BufferedDataTable.checkFormat(BufferedDataTable.java:906) at org.knime.core.node.BufferedDataTable.loadFromFile(BufferedDataTable.java:813) at org.knime.core.node.FileNodePersistor.loadBufferedDataTable(FileNodePersistor.java:477) at org.knime.core.node.FileNodePersistor.loadPort(FileNodePersistor.java:366) at org.knime.core.node.FileNodePersistor.loadPorts(FileNodePersistor.java:330) at org.knime.core.node.FileNodePersistor.load(FileNodePersistor.java:995) at org.knime.core.node.workflow.FileNativeNodeContainerPersistor.loadNCAndWashModelSettings(FileNativeNodeContainerPersistor.java:254) at org.knime.core.node.workflow.FileSingleNodeContainerPersistor.loadNodeContainer(FileSingleNodeContainerPersistor.java:268) at org.knime.core.node.workflow.WorkflowManager.postLoad(WorkflowManager.java:8777) at org.knime.core.node.workflow.WorkflowManager.loadContent(WorkflowManager.java:8679) at org.knime.core.node.workflow.WorkflowManager.postLoad(WorkflowManager.java:8793) at org.knime.core.node.workflow.WorkflowManager.loadContent(WorkflowManager.java:8679) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8543) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8464) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8437) at org.knime.core.node.workflow.WorkflowManager.loadProject(WorkflowManager.java:8282) at org.knime.workbench.editor2.LoadWorkflowRunnable.run(LoadWorkflowRunnable.java:185) at org.eclipse.jface.operation.ModalContext$ModalContextThread.run(ModalContext.java:122) 2022-12-05 10:45:40,043 : WARN : ModalContext : : FileNodePersistor : List Files/Folders : 3:9 : Unable to load port content for node "List Files/Folders": Unknown table format org.knime.parquet.ParquetTableStoreFormat -- is the extension installed? org.knime.core.data.container.storage.TableStoreFormatUnknownException: Unknown table format org.knime.parquet.ParquetTableStoreFormat -- is the extension installed? at org.knime.core.data.container.storage.TableStoreFormatRegistry.lambda$12(TableStoreFormatRegistry.java:217) at java.base/java.util.Optional.orElseThrow(Unknown Source) at org.knime.core.data.container.storage.TableStoreFormatRegistry.getTableStoreFormat(TableStoreFormatRegistry.java:217) at org.knime.core.node.BufferedDataTable.checkFormat(BufferedDataTable.java:906) at org.knime.core.node.BufferedDataTable.loadFromFile(BufferedDataTable.java:813) at org.knime.core.node.FileNodePersistor.loadBufferedDataTable(FileNodePersistor.java:477) at org.knime.core.node.FileNodePersistor.loadPort(FileNodePersistor.java:366) at org.knime.core.node.FileNodePersistor.loadPorts(FileNodePersistor.java:330) at org.knime.core.node.FileNodePersistor.load(FileNodePersistor.java:995) at org.knime.core.node.workflow.FileNativeNodeContainerPersistor.loadNCAndWashModelSettings(FileNativeNodeContainerPersistor.java:254) at org.knime.core.node.workflow.FileSingleNodeContainerPersistor.loadNodeContainer(FileSingleNodeContainerPersistor.java:268) at org.knime.core.node.workflow.WorkflowManager.postLoad(WorkflowManager.java:8777) at org.knime.core.node.workflow.WorkflowManager.loadContent(WorkflowManager.java:8679) at org.knime.core.node.workflow.WorkflowManager.postLoad(WorkflowManager.java:8793) at org.knime.core.node.workflow.WorkflowManager.loadContent(WorkflowManager.java:8679) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8543) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8464) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8437) at org.knime.core.node.workflow.WorkflowManager.loadProject(WorkflowManager.java:8282) at org.knime.workbench.editor2.LoadWorkflowRunnable.run(LoadWorkflowRunnable.java:185) at org.eclipse.jface.operation.ModalContext$ModalContextThread.run(ModalContext.java:122) 2022-12-05 10:45:40,044 : WARN : ModalContext : : Node : List Files/Folders : 3:9 : Errors overwriting node settings with flow variables: Unknown variable "Value_location" 2022-12-05 10:45:40,045 : WARN : ModalContext : : FileNodePersistor : Path to String : 3:11 : Unable to load port content for node "Path to String": Unknown table format org.knime.parquet.ParquetTableStoreFormat -- is the extension installed? org.knime.core.data.container.storage.TableStoreFormatUnknownException: Unknown table format org.knime.parquet.ParquetTableStoreFormat -- is the extension installed? at org.knime.core.data.container.storage.TableStoreFormatRegistry.lambda$12(TableStoreFormatRegistry.java:217) at java.base/java.util.Optional.orElseThrow(Unknown Source) at org.knime.core.data.container.storage.TableStoreFormatRegistry.getTableStoreFormat(TableStoreFormatRegistry.java:217) at org.knime.core.node.BufferedDataTable.checkFormat(BufferedDataTable.java:906) at org.knime.core.node.BufferedDataTable.loadFromFile(BufferedDataTable.java:813) at org.knime.core.node.FileNodePersistor.loadBufferedDataTable(FileNodePersistor.java:477) at org.knime.core.node.FileNodePersistor.loadPort(FileNodePersistor.java:366) at org.knime.core.node.FileNodePersistor.loadPorts(FileNodePersistor.java:330) at org.knime.core.node.FileNodePersistor.load(FileNodePersistor.java:995) at org.knime.core.node.workflow.FileNativeNodeContainerPersistor.loadNCAndWashModelSettings(FileNativeNodeContainerPersistor.java:254) at org.knime.core.node.workflow.FileSingleNodeContainerPersistor.loadNodeContainer(FileSingleNodeContainerPersistor.java:268) at org.knime.core.node.workflow.WorkflowManager.postLoad(WorkflowManager.java:8777) at org.knime.core.node.workflow.WorkflowManager.loadContent(WorkflowManager.java:8679) at org.knime.core.node.workflow.WorkflowManager.postLoad(WorkflowManager.java:8793) at org.knime.core.node.workflow.WorkflowManager.loadContent(WorkflowManager.java:8679) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8543) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8464) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8437) at org.knime.core.node.workflow.WorkflowManager.loadProject(WorkflowManager.java:8282) at org.knime.workbench.editor2.LoadWorkflowRunnable.run(LoadWorkflowRunnable.java:185) at org.eclipse.jface.operation.ModalContext$ModalContextThread.run(ModalContext.java:122) 2022-12-05 10:45:40,049 : WARN : ModalContext : : FileNodePersistor : Rule-based Row Splitter : 3:16 : Unable to load port content for node "Rule-based Row Splitter": Unknown table format org.knime.parquet.ParquetTableStoreFormat -- is the extension installed? org.knime.core.data.container.storage.TableStoreFormatUnknownException: Unknown table format org.knime.parquet.ParquetTableStoreFormat -- is the extension installed? at org.knime.core.data.container.storage.TableStoreFormatRegistry.lambda$12(TableStoreFormatRegistry.java:217) at java.base/java.util.Optional.orElseThrow(Unknown Source) at org.knime.core.data.container.storage.TableStoreFormatRegistry.getTableStoreFormat(TableStoreFormatRegistry.java:217) at org.knime.core.node.BufferedDataTable.checkFormat(BufferedDataTable.java:906) at org.knime.core.node.BufferedDataTable.loadFromFile(BufferedDataTable.java:813) at org.knime.core.node.FileNodePersistor.loadBufferedDataTable(FileNodePersistor.java:477) at org.knime.core.node.FileNodePersistor.loadPort(FileNodePersistor.java:366) at org.knime.core.node.FileNodePersistor.loadPorts(FileNodePersistor.java:330) at org.knime.core.node.FileNodePersistor.load(FileNodePersistor.java:995) at org.knime.core.node.workflow.FileNativeNodeContainerPersistor.loadNCAndWashModelSettings(FileNativeNodeContainerPersistor.java:254) at org.knime.core.node.workflow.FileSingleNodeContainerPersistor.loadNodeContainer(FileSingleNodeContainerPersistor.java:268) at org.knime.core.node.workflow.WorkflowManager.postLoad(WorkflowManager.java:8777) at org.knime.core.node.workflow.WorkflowManager.loadContent(WorkflowManager.java:8679) at org.knime.core.node.workflow.WorkflowManager.postLoad(WorkflowManager.java:8793) at org.knime.core.node.workflow.WorkflowManager.loadContent(WorkflowManager.java:8679) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8543) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8464) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8437) at org.knime.core.node.workflow.WorkflowManager.loadProject(WorkflowManager.java:8282) at org.knime.workbench.editor2.LoadWorkflowRunnable.run(LoadWorkflowRunnable.java:185) at org.eclipse.jface.operation.ModalContext$ModalContextThread.run(ModalContext.java:122) 2022-12-05 10:45:40,053 : WARN : ModalContext : : FileNodePersistor : Column Rename : 3:17 : Unable to load port content for node "Column Rename": No BufferedDataTable with ID 67 org.knime.core.node.InvalidSettingsException: No BufferedDataTable with ID 67 at org.knime.core.node.BufferedDataTable.getDataTable(BufferedDataTable.java:154) at org.knime.core.data.container.TableSpecReplacerTable.load(TableSpecReplacerTable.java:179) at org.knime.core.node.BufferedDataTable.loadFromFile(BufferedDataTable.java:884) at org.knime.core.node.FileNodePersistor.loadBufferedDataTable(FileNodePersistor.java:477) at org.knime.core.node.FileNodePersistor.loadPort(FileNodePersistor.java:366) at org.knime.core.node.FileNodePersistor.loadPorts(FileNodePersistor.java:330) at org.knime.core.node.FileNodePersistor.load(FileNodePersistor.java:995) at org.knime.core.node.workflow.FileNativeNodeContainerPersistor.loadNCAndWashModelSettings(FileNativeNodeContainerPersistor.java:254) at org.knime.core.node.workflow.FileSingleNodeContainerPersistor.loadNodeContainer(FileSingleNodeContainerPersistor.java:268) at org.knime.core.node.workflow.WorkflowManager.postLoad(WorkflowManager.java:8777) at org.knime.core.node.workflow.WorkflowManager.loadContent(WorkflowManager.java:8679) at org.knime.core.node.workflow.WorkflowManager.postLoad(WorkflowManager.java:8793) at org.knime.core.node.workflow.WorkflowManager.loadContent(WorkflowManager.java:8679) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8543) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8464) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8437) at org.knime.core.node.workflow.WorkflowManager.loadProject(WorkflowManager.java:8282) at org.knime.workbench.editor2.LoadWorkflowRunnable.run(LoadWorkflowRunnable.java:185) at org.eclipse.jface.operation.ModalContext$ModalContextThread.run(ModalContext.java:122) 2022-12-05 10:45:40,054 : WARN : ModalContext : : FileNodePersistor : Column Rename : 3:12 : Unable to load port content for node "Column Rename": No BufferedDataTable with ID 66 org.knime.core.node.InvalidSettingsException: No BufferedDataTable with ID 66 at org.knime.core.node.BufferedDataTable.getDataTable(BufferedDataTable.java:154) at org.knime.core.data.container.TableSpecReplacerTable.load(TableSpecReplacerTable.java:179) at org.knime.core.node.BufferedDataTable.loadFromFile(BufferedDataTable.java:884) at org.knime.core.node.FileNodePersistor.loadBufferedDataTable(FileNodePersistor.java:477) at org.knime.core.node.FileNodePersistor.loadPort(FileNodePersistor.java:366) at org.knime.core.node.FileNodePersistor.loadPorts(FileNodePersistor.java:330) at org.knime.core.node.FileNodePersistor.load(FileNodePersistor.java:995) at org.knime.core.node.workflow.FileNativeNodeContainerPersistor.loadNCAndWashModelSettings(FileNativeNodeContainerPersistor.java:254) at org.knime.core.node.workflow.FileSingleNodeContainerPersistor.loadNodeContainer(FileSingleNodeContainerPersistor.java:268) at org.knime.core.node.workflow.WorkflowManager.postLoad(WorkflowManager.java:8777) at org.knime.core.node.workflow.WorkflowManager.loadContent(WorkflowManager.java:8679) at org.knime.core.node.workflow.WorkflowManager.postLoad(WorkflowManager.java:8793) at org.knime.core.node.workflow.WorkflowManager.loadContent(WorkflowManager.java:8679) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8543) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8464) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8437) at org.knime.core.node.workflow.WorkflowManager.loadProject(WorkflowManager.java:8282) at org.knime.workbench.editor2.LoadWorkflowRunnable.run(LoadWorkflowRunnable.java:185) at org.eclipse.jface.operation.ModalContext$ModalContextThread.run(ModalContext.java:122) 2022-12-05 10:45:40,057 : WARN : ModalContext : : FileNodePersistor : List Files/Folders : 3:13 : Unable to load port content for node "List Files/Folders": Unknown table format org.knime.parquet.ParquetTableStoreFormat -- is the extension installed? org.knime.core.data.container.storage.TableStoreFormatUnknownException: Unknown table format org.knime.parquet.ParquetTableStoreFormat -- is the extension installed? at org.knime.core.data.container.storage.TableStoreFormatRegistry.lambda$12(TableStoreFormatRegistry.java:217) at java.base/java.util.Optional.orElseThrow(Unknown Source) at org.knime.core.data.container.storage.TableStoreFormatRegistry.getTableStoreFormat(TableStoreFormatRegistry.java:217) at org.knime.core.node.BufferedDataTable.checkFormat(BufferedDataTable.java:906) at org.knime.core.node.BufferedDataTable.loadFromFile(BufferedDataTable.java:813) at org.knime.core.node.FileNodePersistor.loadBufferedDataTable(FileNodePersistor.java:477) at org.knime.core.node.FileNodePersistor.loadPort(FileNodePersistor.java:366) at org.knime.core.node.FileNodePersistor.loadPorts(FileNodePersistor.java:330) at org.knime.core.node.FileNodePersistor.load(FileNodePersistor.java:995) at org.knime.core.node.workflow.FileNativeNodeContainerPersistor.loadNCAndWashModelSettings(FileNativeNodeContainerPersistor.java:254) at org.knime.core.node.workflow.FileSingleNodeContainerPersistor.loadNodeContainer(FileSingleNodeContainerPersistor.java:268) at org.knime.core.node.workflow.WorkflowManager.postLoad(WorkflowManager.java:8777) at org.knime.core.node.workflow.WorkflowManager.loadContent(WorkflowManager.java:8679) at org.knime.core.node.workflow.WorkflowManager.postLoad(WorkflowManager.java:8793) at org.knime.core.node.workflow.WorkflowManager.loadContent(WorkflowManager.java:8679) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8543) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8464) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8437) at org.knime.core.node.workflow.WorkflowManager.loadProject(WorkflowManager.java:8282) at org.knime.workbench.editor2.LoadWorkflowRunnable.run(LoadWorkflowRunnable.java:185) at org.eclipse.jface.operation.ModalContext$ModalContextThread.run(ModalContext.java:122) 2022-12-05 10:45:40,059 : WARN : ModalContext : : FileNodePersistor : Loop End : 3:15 : Unable to load port content for node "Loop End": Unknown table format org.knime.parquet.ParquetTableStoreFormat -- is the extension installed? org.knime.core.data.container.storage.TableStoreFormatUnknownException: Unknown table format org.knime.parquet.ParquetTableStoreFormat -- is the extension installed? at org.knime.core.data.container.storage.TableStoreFormatRegistry.lambda$12(TableStoreFormatRegistry.java:217) at java.base/java.util.Optional.orElseThrow(Unknown Source) at org.knime.core.data.container.storage.TableStoreFormatRegistry.getTableStoreFormat(TableStoreFormatRegistry.java:217) at org.knime.core.node.BufferedDataTable.checkFormat(BufferedDataTable.java:906) at org.knime.core.node.BufferedDataTable.loadFromFile(BufferedDataTable.java:813) at org.knime.core.node.BufferedDataTable.loadFromFile(BufferedDataTable.java:858) at org.knime.core.node.FileNodePersistor.loadBufferedDataTable(FileNodePersistor.java:477) at org.knime.core.node.FileNodePersistor.loadPort(FileNodePersistor.java:366) at org.knime.core.node.FileNodePersistor.loadPorts(FileNodePersistor.java:330) at org.knime.core.node.FileNodePersistor.load(FileNodePersistor.java:995) at org.knime.core.node.workflow.FileNativeNodeContainerPersistor.loadNCAndWashModelSettings(FileNativeNodeContainerPersistor.java:254) at org.knime.core.node.workflow.FileSingleNodeContainerPersistor.loadNodeContainer(FileSingleNodeContainerPersistor.java:268) at org.knime.core.node.workflow.WorkflowManager.postLoad(WorkflowManager.java:8777) at org.knime.core.node.workflow.WorkflowManager.loadContent(WorkflowManager.java:8679) at org.knime.core.node.workflow.WorkflowManager.postLoad(WorkflowManager.java:8793) at org.knime.core.node.workflow.WorkflowManager.loadContent(WorkflowManager.java:8679) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8543) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8464) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8437) at org.knime.core.node.workflow.WorkflowManager.loadProject(WorkflowManager.java:8282) at org.knime.workbench.editor2.LoadWorkflowRunnable.run(LoadWorkflowRunnable.java:185) at org.eclipse.jface.operation.ModalContext$ModalContextThread.run(ModalContext.java:122) 2022-12-05 10:45:40,061 : WARN : ModalContext : : FileNodePersistor : Path to URI : 3:20 : Unable to load port content for node "Path to URI": Unknown table format org.knime.parquet.ParquetTableStoreFormat -- is the extension installed? org.knime.core.data.container.storage.TableStoreFormatUnknownException: Unknown table format org.knime.parquet.ParquetTableStoreFormat -- is the extension installed? at org.knime.core.data.container.storage.TableStoreFormatRegistry.lambda$12(TableStoreFormatRegistry.java:217) at java.base/java.util.Optional.orElseThrow(Unknown Source) at org.knime.core.data.container.storage.TableStoreFormatRegistry.getTableStoreFormat(TableStoreFormatRegistry.java:217) at org.knime.core.node.BufferedDataTable.checkFormat(BufferedDataTable.java:906) at org.knime.core.node.BufferedDataTable.loadFromFile(BufferedDataTable.java:813) at org.knime.core.node.FileNodePersistor.loadBufferedDataTable(FileNodePersistor.java:477) at org.knime.core.node.FileNodePersistor.loadPort(FileNodePersistor.java:366) at org.knime.core.node.FileNodePersistor.loadPorts(FileNodePersistor.java:330) at org.knime.core.node.FileNodePersistor.load(FileNodePersistor.java:995) at org.knime.core.node.workflow.FileNativeNodeContainerPersistor.loadNCAndWashModelSettings(FileNativeNodeContainerPersistor.java:254) at org.knime.core.node.workflow.FileSingleNodeContainerPersistor.loadNodeContainer(FileSingleNodeContainerPersistor.java:268) at org.knime.core.node.workflow.WorkflowManager.postLoad(WorkflowManager.java:8777) at org.knime.core.node.workflow.WorkflowManager.loadContent(WorkflowManager.java:8679) at org.knime.core.node.workflow.WorkflowManager.postLoad(WorkflowManager.java:8793) at org.knime.core.node.workflow.WorkflowManager.loadContent(WorkflowManager.java:8679) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8543) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8464) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8437) at org.knime.core.node.workflow.WorkflowManager.loadProject(WorkflowManager.java:8282) at org.knime.workbench.editor2.LoadWorkflowRunnable.run(LoadWorkflowRunnable.java:185) at org.eclipse.jface.operation.ModalContext$ModalContextThread.run(ModalContext.java:122) 2022-12-05 10:45:40,063 : WARN : ModalContext : : FileNodePersistor : URL to File Path : 3:18 : Unable to load port content for node "URL to File Path": Unknown table format org.knime.parquet.ParquetTableStoreFormat -- is the extension installed? org.knime.core.data.container.storage.TableStoreFormatUnknownException: Unknown table format org.knime.parquet.ParquetTableStoreFormat -- is the extension installed? at org.knime.core.data.container.storage.TableStoreFormatRegistry.lambda$12(TableStoreFormatRegistry.java:217) at java.base/java.util.Optional.orElseThrow(Unknown Source) at org.knime.core.data.container.storage.TableStoreFormatRegistry.getTableStoreFormat(TableStoreFormatRegistry.java:217) at org.knime.core.node.BufferedDataTable.checkFormat(BufferedDataTable.java:906) at org.knime.core.node.BufferedDataTable.loadFromFile(BufferedDataTable.java:813) at org.knime.core.node.FileNodePersistor.loadBufferedDataTable(FileNodePersistor.java:477) at org.knime.core.node.FileNodePersistor.loadPort(FileNodePersistor.java:366) at org.knime.core.node.FileNodePersistor.loadPorts(FileNodePersistor.java:330) at org.knime.core.node.FileNodePersistor.load(FileNodePersistor.java:995) at org.knime.core.node.workflow.FileNativeNodeContainerPersistor.loadNCAndWashModelSettings(FileNativeNodeContainerPersistor.java:254) at org.knime.core.node.workflow.FileSingleNodeContainerPersistor.loadNodeContainer(FileSingleNodeContainerPersistor.java:268) at org.knime.core.node.workflow.WorkflowManager.postLoad(WorkflowManager.java:8777) at org.knime.core.node.workflow.WorkflowManager.loadContent(WorkflowManager.java:8679) at org.knime.core.node.workflow.WorkflowManager.postLoad(WorkflowManager.java:8793) at org.knime.core.node.workflow.WorkflowManager.loadContent(WorkflowManager.java:8679) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8543) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8464) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8437) at org.knime.core.node.workflow.WorkflowManager.loadProject(WorkflowManager.java:8282) at org.knime.workbench.editor2.LoadWorkflowRunnable.run(LoadWorkflowRunnable.java:185) at org.eclipse.jface.operation.ModalContext$ModalContextThread.run(ModalContext.java:122) 2022-12-05 10:45:40,066 : WARN : ModalContext : : FileNodePersistor : Reference Row Filter : 3:21 : Unable to load port content for node "Reference Row Filter": Unknown table format org.knime.parquet.ParquetTableStoreFormat -- is the extension installed? org.knime.core.data.container.storage.TableStoreFormatUnknownException: Unknown table format org.knime.parquet.ParquetTableStoreFormat -- is the extension installed? at org.knime.core.data.container.storage.TableStoreFormatRegistry.lambda$12(TableStoreFormatRegistry.java:217) at java.base/java.util.Optional.orElseThrow(Unknown Source) at org.knime.core.data.container.storage.TableStoreFormatRegistry.getTableStoreFormat(TableStoreFormatRegistry.java:217) at org.knime.core.node.BufferedDataTable.checkFormat(BufferedDataTable.java:906) at org.knime.core.node.BufferedDataTable.loadFromFile(BufferedDataTable.java:813) at org.knime.core.node.FileNodePersistor.loadBufferedDataTable(FileNodePersistor.java:477) at org.knime.core.node.FileNodePersistor.loadPort(FileNodePersistor.java:366) at org.knime.core.node.FileNodePersistor.loadPorts(FileNodePersistor.java:330) at org.knime.core.node.FileNodePersistor.load(FileNodePersistor.java:995) at org.knime.core.node.workflow.FileNativeNodeContainerPersistor.loadNCAndWashModelSettings(FileNativeNodeContainerPersistor.java:254) at org.knime.core.node.workflow.FileSingleNodeContainerPersistor.loadNodeContainer(FileSingleNodeContainerPersistor.java:268) at org.knime.core.node.workflow.WorkflowManager.postLoad(WorkflowManager.java:8777) at org.knime.core.node.workflow.WorkflowManager.loadContent(WorkflowManager.java:8679) at org.knime.core.node.workflow.WorkflowManager.postLoad(WorkflowManager.java:8793) at org.knime.core.node.workflow.WorkflowManager.loadContent(WorkflowManager.java:8679) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8543) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8464) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8437) at org.knime.core.node.workflow.WorkflowManager.loadProject(WorkflowManager.java:8282) at org.knime.workbench.editor2.LoadWorkflowRunnable.run(LoadWorkflowRunnable.java:185) at org.eclipse.jface.operation.ModalContext$ModalContextThread.run(ModalContext.java:122) 2022-12-05 10:45:40,069 : WARN : ModalContext : : FileNodePersistor : Duplicate Row Filter : 3:22 : Unable to load port content for node "Duplicate Row Filter": Unknown table format org.knime.parquet.ParquetTableStoreFormat -- is the extension installed? org.knime.core.data.container.storage.TableStoreFormatUnknownException: Unknown table format org.knime.parquet.ParquetTableStoreFormat -- is the extension installed? at org.knime.core.data.container.storage.TableStoreFormatRegistry.lambda$12(TableStoreFormatRegistry.java:217) at java.base/java.util.Optional.orElseThrow(Unknown Source) at org.knime.core.data.container.storage.TableStoreFormatRegistry.getTableStoreFormat(TableStoreFormatRegistry.java:217) at org.knime.core.node.BufferedDataTable.checkFormat(BufferedDataTable.java:906) at org.knime.core.node.BufferedDataTable.loadFromFile(BufferedDataTable.java:813) at org.knime.core.node.BufferedDataTable.loadFromFile(BufferedDataTable.java:858) at org.knime.core.node.FileNodePersistor.loadBufferedDataTable(FileNodePersistor.java:477) at org.knime.core.node.FileNodePersistor.loadPort(FileNodePersistor.java:366) at org.knime.core.node.FileNodePersistor.loadPorts(FileNodePersistor.java:330) at org.knime.core.node.FileNodePersistor.load(FileNodePersistor.java:995) at org.knime.core.node.workflow.FileNativeNodeContainerPersistor.loadNCAndWashModelSettings(FileNativeNodeContainerPersistor.java:254) at org.knime.core.node.workflow.FileSingleNodeContainerPersistor.loadNodeContainer(FileSingleNodeContainerPersistor.java:268) at org.knime.core.node.workflow.WorkflowManager.postLoad(WorkflowManager.java:8777) at org.knime.core.node.workflow.WorkflowManager.loadContent(WorkflowManager.java:8679) at org.knime.core.node.workflow.WorkflowManager.postLoad(WorkflowManager.java:8793) at org.knime.core.node.workflow.WorkflowManager.loadContent(WorkflowManager.java:8679) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8543) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8464) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8437) at org.knime.core.node.workflow.WorkflowManager.loadProject(WorkflowManager.java:8282) at org.knime.workbench.editor2.LoadWorkflowRunnable.run(LoadWorkflowRunnable.java:185) at org.eclipse.jface.operation.ModalContext$ModalContextThread.run(ModalContext.java:122) 2022-12-05 10:45:40,090 : WARN : ModalContext : : FileNodePersistor : Row Splitter (Labs) : 3:24 : Unable to load port content for node "Row Splitter (Labs)": Unknown table format org.knime.parquet.ParquetTableStoreFormat -- is the extension installed? org.knime.core.data.container.storage.TableStoreFormatUnknownException: Unknown table format org.knime.parquet.ParquetTableStoreFormat -- is the extension installed? at org.knime.core.data.container.storage.TableStoreFormatRegistry.lambda$12(TableStoreFormatRegistry.java:217) at java.base/java.util.Optional.orElseThrow(Unknown Source) at org.knime.core.data.container.storage.TableStoreFormatRegistry.getTableStoreFormat(TableStoreFormatRegistry.java:217) at org.knime.core.node.BufferedDataTable.checkFormat(BufferedDataTable.java:906) at org.knime.core.node.BufferedDataTable.loadFromFile(BufferedDataTable.java:813) at org.knime.core.node.FileNodePersistor.loadBufferedDataTable(FileNodePersistor.java:477) at org.knime.core.node.FileNodePersistor.loadPort(FileNodePersistor.java:366) at org.knime.core.node.FileNodePersistor.loadPorts(FileNodePersistor.java:330) at org.knime.core.node.FileNodePersistor.load(FileNodePersistor.java:995) at org.knime.core.node.workflow.FileNativeNodeContainerPersistor.loadNCAndWashModelSettings(FileNativeNodeContainerPersistor.java:254) at org.knime.core.node.workflow.FileSingleNodeContainerPersistor.loadNodeContainer(FileSingleNodeContainerPersistor.java:268) at org.knime.core.node.workflow.WorkflowManager.postLoad(WorkflowManager.java:8777) at org.knime.core.node.workflow.WorkflowManager.loadContent(WorkflowManager.java:8679) at org.knime.core.node.workflow.WorkflowManager.postLoad(WorkflowManager.java:8793) at org.knime.core.node.workflow.WorkflowManager.loadContent(WorkflowManager.java:8679) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8543) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8464) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8437) at org.knime.core.node.workflow.WorkflowManager.loadProject(WorkflowManager.java:8282) at org.knime.workbench.editor2.LoadWorkflowRunnable.run(LoadWorkflowRunnable.java:185) at org.eclipse.jface.operation.ModalContext$ModalContextThread.run(ModalContext.java:122) 2022-12-05 10:45:40,093 : WARN : ModalContext : : FileNodePersistor : Row Splitter (Labs) : 3:25 : Unable to load port content for node "Row Splitter (Labs)": Unknown table format org.knime.parquet.ParquetTableStoreFormat -- is the extension installed? org.knime.core.data.container.storage.TableStoreFormatUnknownException: Unknown table format org.knime.parquet.ParquetTableStoreFormat -- is the extension installed? at org.knime.core.data.container.storage.TableStoreFormatRegistry.lambda$12(TableStoreFormatRegistry.java:217) at java.base/java.util.Optional.orElseThrow(Unknown Source) at org.knime.core.data.container.storage.TableStoreFormatRegistry.getTableStoreFormat(TableStoreFormatRegistry.java:217) at org.knime.core.node.BufferedDataTable.checkFormat(BufferedDataTable.java:906) at org.knime.core.node.BufferedDataTable.loadFromFile(BufferedDataTable.java:813) at org.knime.core.node.FileNodePersistor.loadBufferedDataTable(FileNodePersistor.java:477) at org.knime.core.node.FileNodePersistor.loadPort(FileNodePersistor.java:366) at org.knime.core.node.FileNodePersistor.loadPorts(FileNodePersistor.java:330) at org.knime.core.node.FileNodePersistor.load(FileNodePersistor.java:995) at org.knime.core.node.workflow.FileNativeNodeContainerPersistor.loadNCAndWashModelSettings(FileNativeNodeContainerPersistor.java:254) at org.knime.core.node.workflow.FileSingleNodeContainerPersistor.loadNodeContainer(FileSingleNodeContainerPersistor.java:268) at org.knime.core.node.workflow.WorkflowManager.postLoad(WorkflowManager.java:8777) at org.knime.core.node.workflow.WorkflowManager.loadContent(WorkflowManager.java:8679) at org.knime.core.node.workflow.WorkflowManager.postLoad(WorkflowManager.java:8793) at org.knime.core.node.workflow.WorkflowManager.loadContent(WorkflowManager.java:8679) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8543) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8464) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8437) at org.knime.core.node.workflow.WorkflowManager.loadProject(WorkflowManager.java:8282) at org.knime.workbench.editor2.LoadWorkflowRunnable.run(LoadWorkflowRunnable.java:185) at org.eclipse.jface.operation.ModalContext$ModalContextThread.run(ModalContext.java:122) 2022-12-05 10:45:40,096 : WARN : ModalContext : : FileNodePersistor : Transfer Files (Table) : 3:26 : Unable to load port content for node "Transfer Files (Table)": Unknown table format org.knime.parquet.ParquetTableStoreFormat -- is the extension installed? org.knime.core.data.container.storage.TableStoreFormatUnknownException: Unknown table format org.knime.parquet.ParquetTableStoreFormat -- is the extension installed? at org.knime.core.data.container.storage.TableStoreFormatRegistry.lambda$12(TableStoreFormatRegistry.java:217) at java.base/java.util.Optional.orElseThrow(Unknown Source) at org.knime.core.data.container.storage.TableStoreFormatRegistry.getTableStoreFormat(TableStoreFormatRegistry.java:217) at org.knime.core.node.BufferedDataTable.checkFormat(BufferedDataTable.java:906) at org.knime.core.node.BufferedDataTable.loadFromFile(BufferedDataTable.java:813) at org.knime.core.node.FileNodePersistor.loadBufferedDataTable(FileNodePersistor.java:477) at org.knime.core.node.FileNodePersistor.loadPort(FileNodePersistor.java:366) at org.knime.core.node.FileNodePersistor.loadPorts(FileNodePersistor.java:330) at org.knime.core.node.FileNodePersistor.load(FileNodePersistor.java:995) at org.knime.core.node.workflow.FileNativeNodeContainerPersistor.loadNCAndWashModelSettings(FileNativeNodeContainerPersistor.java:254) at org.knime.core.node.workflow.FileSingleNodeContainerPersistor.loadNodeContainer(FileSingleNodeContainerPersistor.java:268) at org.knime.core.node.workflow.WorkflowManager.postLoad(WorkflowManager.java:8777) at org.knime.core.node.workflow.WorkflowManager.loadContent(WorkflowManager.java:8679) at org.knime.core.node.workflow.WorkflowManager.postLoad(WorkflowManager.java:8793) at org.knime.core.node.workflow.WorkflowManager.loadContent(WorkflowManager.java:8679) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8543) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8464) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8437) at org.knime.core.node.workflow.WorkflowManager.loadProject(WorkflowManager.java:8282) at org.knime.workbench.editor2.LoadWorkflowRunnable.run(LoadWorkflowRunnable.java:185) at org.eclipse.jface.operation.ModalContext$ModalContextThread.run(ModalContext.java:122) 2022-12-05 10:45:40,098 : WARN : ModalContext : : FileNodePersistor : Transfer Files (Table) : 3:27 : Unable to load port content for node "Transfer Files (Table)": Unknown table format org.knime.parquet.ParquetTableStoreFormat -- is the extension installed? org.knime.core.data.container.storage.TableStoreFormatUnknownException: Unknown table format org.knime.parquet.ParquetTableStoreFormat -- is the extension installed? at org.knime.core.data.container.storage.TableStoreFormatRegistry.lambda$12(TableStoreFormatRegistry.java:217) at java.base/java.util.Optional.orElseThrow(Unknown Source) at org.knime.core.data.container.storage.TableStoreFormatRegistry.getTableStoreFormat(TableStoreFormatRegistry.java:217) at org.knime.core.node.BufferedDataTable.checkFormat(BufferedDataTable.java:906) at org.knime.core.node.BufferedDataTable.loadFromFile(BufferedDataTable.java:813) at org.knime.core.node.FileNodePersistor.loadBufferedDataTable(FileNodePersistor.java:477) at org.knime.core.node.FileNodePersistor.loadPort(FileNodePersistor.java:366) at org.knime.core.node.FileNodePersistor.loadPorts(FileNodePersistor.java:330) at org.knime.core.node.FileNodePersistor.load(FileNodePersistor.java:995) at org.knime.core.node.workflow.FileNativeNodeContainerPersistor.loadNCAndWashModelSettings(FileNativeNodeContainerPersistor.java:254) at org.knime.core.node.workflow.FileSingleNodeContainerPersistor.loadNodeContainer(FileSingleNodeContainerPersistor.java:268) at org.knime.core.node.workflow.WorkflowManager.postLoad(WorkflowManager.java:8777) at org.knime.core.node.workflow.WorkflowManager.loadContent(WorkflowManager.java:8679) at org.knime.core.node.workflow.WorkflowManager.postLoad(WorkflowManager.java:8793) at org.knime.core.node.workflow.WorkflowManager.loadContent(WorkflowManager.java:8679) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8543) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8464) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8437) at org.knime.core.node.workflow.WorkflowManager.loadProject(WorkflowManager.java:8282) at org.knime.workbench.editor2.LoadWorkflowRunnable.run(LoadWorkflowRunnable.java:185) at org.eclipse.jface.operation.ModalContext$ModalContextThread.run(ModalContext.java:122) 2022-12-05 10:45:40,101 : WARN : ModalContext : : FileNodePersistor : Transfer Files (Table) : 3:29 : Unable to load port content for node "Transfer Files (Table)": Unknown table format org.knime.parquet.ParquetTableStoreFormat -- is the extension installed? org.knime.core.data.container.storage.TableStoreFormatUnknownException: Unknown table format org.knime.parquet.ParquetTableStoreFormat -- is the extension installed? at org.knime.core.data.container.storage.TableStoreFormatRegistry.lambda$12(TableStoreFormatRegistry.java:217) at java.base/java.util.Optional.orElseThrow(Unknown Source) at org.knime.core.data.container.storage.TableStoreFormatRegistry.getTableStoreFormat(TableStoreFormatRegistry.java:217) at org.knime.core.node.BufferedDataTable.checkFormat(BufferedDataTable.java:906) at org.knime.core.node.BufferedDataTable.loadFromFile(BufferedDataTable.java:813) at org.knime.core.node.FileNodePersistor.loadBufferedDataTable(FileNodePersistor.java:477) at org.knime.core.node.FileNodePersistor.loadPort(FileNodePersistor.java:366) at org.knime.core.node.FileNodePersistor.loadPorts(FileNodePersistor.java:330) at org.knime.core.node.FileNodePersistor.load(FileNodePersistor.java:995) at org.knime.core.node.workflow.FileNativeNodeContainerPersistor.loadNCAndWashModelSettings(FileNativeNodeContainerPersistor.java:254) at org.knime.core.node.workflow.FileSingleNodeContainerPersistor.loadNodeContainer(FileSingleNodeContainerPersistor.java:268) at org.knime.core.node.workflow.WorkflowManager.postLoad(WorkflowManager.java:8777) at org.knime.core.node.workflow.WorkflowManager.loadContent(WorkflowManager.java:8679) at org.knime.core.node.workflow.WorkflowManager.postLoad(WorkflowManager.java:8793) at org.knime.core.node.workflow.WorkflowManager.loadContent(WorkflowManager.java:8679) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8543) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8464) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8437) at org.knime.core.node.workflow.WorkflowManager.loadProject(WorkflowManager.java:8282) at org.knime.workbench.editor2.LoadWorkflowRunnable.run(LoadWorkflowRunnable.java:185) at org.eclipse.jface.operation.ModalContext$ModalContextThread.run(ModalContext.java:122) 2022-12-05 10:45:40,103 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Errors during load: Status: DataLoadError: kn_example_python_yaml_files_conda.knwf 3 loaded with error during data load 2022-12-05 10:45:40,103 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: kn_example_python_yaml_files_conda.knwf 3 2022-12-05 10:45:40,103 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Extract System Properties 3:1 2022-12-05 10:45:40,103 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Unable to load port content for node "Extract System Properties": Unknown table format org.knime.parquet.ParquetTableStoreFormat -- is the extension installed? 2022-12-05 10:45:40,103 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: State has changed from EXECUTED to CONFIGURED 2022-12-05 10:45:40,103 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Rule-based Row Filter 3:5 2022-12-05 10:45:40,104 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Unable to load port content for node "Rule-based Row Filter": Unknown table format org.knime.parquet.ParquetTableStoreFormat -- is the extension installed? 2022-12-05 10:45:40,104 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: List Files/Folders 3:9 2022-12-05 10:45:40,104 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Unable to load port content for node "List Files/Folders": Unknown table format org.knime.parquet.ParquetTableStoreFormat -- is the extension installed? 2022-12-05 10:45:40,104 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Path to String 3:11 2022-12-05 10:45:40,104 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Unable to load port content for node "Path to String": Unknown table format org.knime.parquet.ParquetTableStoreFormat -- is the extension installed? 2022-12-05 10:45:40,104 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Rule-based Row Splitter 3:16 2022-12-05 10:45:40,104 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Unable to load port content for node "Rule-based Row Splitter": Unknown table format org.knime.parquet.ParquetTableStoreFormat -- is the extension installed? 2022-12-05 10:45:40,104 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Column Rename 3:17 2022-12-05 10:45:40,104 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Unable to load port content for node "Column Rename": No BufferedDataTable with ID 67 2022-12-05 10:45:40,105 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Column Rename 3:12 2022-12-05 10:45:40,105 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Unable to load port content for node "Column Rename": No BufferedDataTable with ID 66 2022-12-05 10:45:40,105 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: List Files/Folders 3:13 2022-12-05 10:45:40,105 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Unable to load port content for node "List Files/Folders": Unknown table format org.knime.parquet.ParquetTableStoreFormat -- is the extension installed? 2022-12-05 10:45:40,105 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Loop End 3:15 2022-12-05 10:45:40,105 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Unable to load port content for node "Loop End": Unknown table format org.knime.parquet.ParquetTableStoreFormat -- is the extension installed? 2022-12-05 10:45:40,105 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Path to URI 3:20 2022-12-05 10:45:40,105 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Unable to load port content for node "Path to URI": Unknown table format org.knime.parquet.ParquetTableStoreFormat -- is the extension installed? 2022-12-05 10:45:40,105 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: URL to File Path 3:18 2022-12-05 10:45:40,105 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Unable to load port content for node "URL to File Path": Unknown table format org.knime.parquet.ParquetTableStoreFormat -- is the extension installed? 2022-12-05 10:45:40,105 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Reference Row Filter 3:21 2022-12-05 10:45:40,105 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Unable to load port content for node "Reference Row Filter": Unknown table format org.knime.parquet.ParquetTableStoreFormat -- is the extension installed? 2022-12-05 10:45:40,105 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Duplicate Row Filter 3:22 2022-12-05 10:45:40,105 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Unable to load port content for node "Duplicate Row Filter": Unknown table format org.knime.parquet.ParquetTableStoreFormat -- is the extension installed? 2022-12-05 10:45:40,105 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Row Splitter (Labs) 3:24 2022-12-05 10:45:40,106 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Unable to load port content for node "Row Splitter (Labs)": Unknown table format org.knime.parquet.ParquetTableStoreFormat -- is the extension installed? 2022-12-05 10:45:40,106 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Row Splitter (Labs) 3:25 2022-12-05 10:45:40,106 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Unable to load port content for node "Row Splitter (Labs)": Unknown table format org.knime.parquet.ParquetTableStoreFormat -- is the extension installed? 2022-12-05 10:45:40,106 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Transfer Files (Table) 3:26 2022-12-05 10:45:40,106 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Unable to load port content for node "Transfer Files (Table)": Unknown table format org.knime.parquet.ParquetTableStoreFormat -- is the extension installed? 2022-12-05 10:45:40,106 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Transfer Files (Table) 3:27 2022-12-05 10:45:40,106 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Unable to load port content for node "Transfer Files (Table)": Unknown table format org.knime.parquet.ParquetTableStoreFormat -- is the extension installed? 2022-12-05 10:45:40,106 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Transfer Files (Table) 3:29 2022-12-05 10:45:40,106 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: DataLoadError: Unable to load port content for node "Transfer Files (Table)": Unknown table format org.knime.parquet.ParquetTableStoreFormat -- is the extension installed? 2022-12-05 11:45:52,773 : WARN : KNIME-Worker-11-Conda Environment Propagation 3:2406 : : CondaEnvironmentPropagationNodeModel : Conda Environment Propagation : 3:2406 : Creating the environment failed. If an incomplete environment has been created, it will be removed and the original environment, if any, will be recovered. 2022-12-05 11:45:55,849 : WARN : KNIME-Worker-15-Conda Environment Propagation 3:2408:0:2407 : : CondaEnvironmentPropagationNodeModel : Conda Environment Propagation : 3:2408:0:2407 : Creating the environment failed. If an incomplete environment has been created, it will be removed and the original environment, if any, will be recovered. 2022-12-05 11:45:56,713 : ERROR : KNIME-Worker-11-Conda Environment Propagation 3:2406 : : Node : Conda Environment Propagation : 3:2406 : Execute failed: Failed to resolve the following list of packages. Please make sure these packages are available for the local platform or exclude them from the creation process. - conda-forge::libgfortran5=11.3.0 - conda-forge::nss=3.78 - conda-forge::orc=1.8.0 - conda-forge::libnghttp2=1.47.0 - conda-forge::nspr=4.32 java.io.IOException: Failed to resolve the following list of packages. Please make sure these packages are available for the local platform or exclude them from the creation process. - conda-forge::libgfortran5=11.3.0 - conda-forge::nss=3.78 - conda-forge::orc=1.8.0 - conda-forge::libnghttp2=1.47.0 - conda-forge::nspr=4.32 at org.knime.conda.CondaExecutionMonitor.monitorExecution(CondaExecutionMonitor.java:150) at org.knime.conda.Conda.callCondaAndMonitorExecution(Conda.java:737) at org.knime.conda.Conda.createEnvironmentFromFile(Conda.java:625) at org.knime.conda.Conda.createEnvironment(Conda.java:599) at org.knime.conda.nodes.envprop.CondaEnvironmentPropagationNodeModel.execute(CondaEnvironmentPropagationNodeModel.java:338) at org.knime.core.node.NodeModel.executeModel(NodeModel.java:549) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1267) at org.knime.core.node.Node.execute(Node.java:1041) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:95) at org.knime.core.node.workflow.NodeExecutionJob.internalRun(NodeExecutionJob.java:201) at org.knime.core.node.workflow.NodeExecutionJob.run(NodeExecutionJob.java:117) at org.knime.core.util.ThreadUtils$RunnableWithContextImpl.runWithContext(ThreadUtils.java:367) at org.knime.core.util.ThreadUtils$RunnableWithContext.run(ThreadUtils.java:221) at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at org.knime.core.util.ThreadPool$MyFuture.run(ThreadPool.java:123) at org.knime.core.util.ThreadPool$Worker.run(ThreadPool.java:246) 2022-12-05 11:45:56,717 : WARN : KNIME-Worker-13-Conda Environment Propagation 3:32:0:104 : : CondaEnvironmentPropagationNodeModel : Conda Environment Propagation : 3:32:0:104 : Creating the environment failed. If an incomplete environment has been created, it will be removed and the original environment, if any, will be recovered. 2022-12-05 11:45:59,761 : ERROR : KNIME-Worker-15-Conda Environment Propagation 3:2408:0:2407 : : Node : Conda Environment Propagation : 3:2408:0:2407 : Execute failed: Failed to resolve the following list of packages. Please make sure these packages are available for the local platform or exclude them from the creation process. - conda-forge::jupyter_nbextensions_configurator==0.4.1=py39h6e9494a_2 - conda-forge::py-xgboost==1.7.1=cpu_py39hb0a6171_0 - conda-forge::liblapack==3.9.0=16_osx64_openblas - conda-forge::libclang==15.0.5=default_h20dc2f0_0 - conda-forge::libbrotlienc==1.0.9=hb7f2c08_8 - conda-forge::glib-tools==2.74.1=hbc0c0cd_1 - conda-forge::mpich==4.0.3=hd33e60e_100 - conda-forge::zstd==1.5.2=hfa58983_4 - conda-forge::python-blosc==1.10.6=py39hecff1ad_1 - conda-forge::lxml==4.9.1=py39hfbce9ca_1 - conda-forge::libgoogle-cloud==2.3.0=hb6a50ef_1 - conda-forge::argon2-cffi-bindings==21.2.0=py39ha30fb19_3 - conda-forge::libgrpc==1.49.1=h834a566_1 - conda-forge::msgpack-python==1.0.4=py39h92daf61_1 - conda-forge::arrow-cpp==9.0.0=py39h7d8c460_10_cpu - conda-forge::brotli-bin==1.0.9=hb7f2c08_8 - conda-forge::aws-c-common==0.6.2=h0d85af4_0 - conda-forge::brotlipy==0.7.0=py39ha30fb19_1005 - conda-forge::libcurl==7.86.0=h57eb407_1 - conda-forge::pthread-stubs==0.4=hc929b4f_1001 - conda-forge::libclang13==15.0.5=default_hc4b5f92_0 - conda-forge::aws-c-io==0.10.5=h35aa462_0 - conda-forge::krb5==1.19.3=hb49756b_0 - conda-forge::libvorbis==1.3.7=h046ec9c_0 - conda-forge::hdf5==1.12.2=nompi_hc782337_100 - conda-forge::pyqt5-sip==12.11.0=py39hc100f75_2 - conda-forge::pyarrow==9.0.0=py39hb941c77_10_cpu - conda-forge::libbrotlidec==1.0.9=hb7f2c08_8 - conda-forge::pathlib2==2.3.7.post1=py39h6e9494a_2 - conda-forge::libsodium==1.0.18=hbcb3906_1 - conda-forge::scipy==1.9.3=py39h8a15683_2 - conda-forge::blosc==1.21.1=h97e831e_3 - conda-forge::lcms2==2.14=h90f4b2a_0 - conda-forge::xgboost==1.7.1=cpu_py39hd182d69_0 - conda-forge::libiconv==1.17=hac89ed1_0 - conda-forge::scikit-learn-intelex==2021.5.0=py39h6e9494a_1 - conda-forge::phik==0.12.2=py39h407aec2_2 - conda-forge::matplotlib-base==3.6.2=py39hb2f573b_0 - conda-forge::glog==0.6.0=h8ac2a54_0 - conda-forge::pcre2==10.40=h1c4e4bc_0 - conda-forge::h5py==3.7.0=nompi_py39h7d40783_102 - conda-forge::statsmodels==0.13.5=py39h7cc1f47_2 - conda-forge::libblas==3.9.0=16_osx64_openblas - conda-forge::mysql-libs==8.0.31=hc37e033_0 - conda-forge::openjdk==17.0.3=hbc0c0cd_4 - conda-forge::libxgboost==1.7.1=cpu_h0c1cf5f_0 - conda-forge::aws-sdk-cpp==1.8.186=h7c85d8e_4 - conda-forge::unicodedata2==15.0.0=py39ha30fb19_0 - conda-forge::xz==5.2.6=h775f41a_0 - conda-forge::psutil==5.9.4=py39ha30fb19_0 - conda-forge::nss==3.78=ha8197d3_0 - conda-forge::dal==2021.5.0=h694c41f_782 - conda-forge::ipykernel==6.18.0=pyh736e0ef_0 - conda-forge::ca-certificates==2022.9.24=h033912b_0 - conda-forge::python==3.9.15=h531fd05_0_cpython - conda-forge::nodejs==18.12.1=h3591b89_0 - conda-forge::c-ares==1.18.1=h0d85af4_0 - conda-forge::debugpy==1.6.3=py39h7a8716b_1 - conda-forge::fonttools==4.38.0=py39ha30fb19_1 - conda-forge::brotli==1.0.9=hb7f2c08_8 - conda-forge::libbrotlicommon==1.0.9=hb7f2c08_8 - conda-forge::pywavelets==1.3.0=py39h7cc1f47_2 - conda-forge::cryptography==38.0.3=py39h7eb6a14_0 - conda-forge::lz4-c==1.9.3=he49afe7_1 - conda-forge::fastparquet==2022.11.0=py39h7cc1f47_0 - conda-forge::libzlib==1.2.13=hfd90126_4 - conda-forge::libogg==1.3.4=h35c211d_1 - conda-forge::libxslt==1.1.37=h5d22bc9_0 - conda-forge::libpq==14.5=h50fae06_1 - conda-forge::libffi==3.4.2=h0d85af4_5 - conda-forge::cramjam==2.6.2=py39hd4bc93a_0 - conda-forge::numexpr==2.8.3=py39hecff1ad_1 - conda-forge::gflags==2.2.2=hb1e8313_1004 - conda-forge::libssh2==1.10.0=h7535e13_3 - conda-forge::re2==2022.06.01=hb486fe8_1 - conda-forge::sip==6.7.5=py39h7a8716b_0 - conda-forge::openpyxl==3.0.10=py39ha30fb19_2 - conda-forge::cytoolz==0.12.0=py39ha30fb19_1 - conda-forge::xorg-libxdmcp==1.1.3=h35c211d_0 - conda-forge::aws-c-cal==0.5.11=hd2e2f4b_0 - conda-forge::jupyter_highlight_selected_word==0.2.0=py39h6e9494a_1005 - conda-forge::openssl==1.1.1s=hfd90126_0 - conda-forge::libevent==2.1.10=h815e4d9_4 - conda-forge::jupyter==1.0.0=py39h6e9494a_7 - conda-forge::pytables==3.7.0=py39hc15ac9a_3 - conda-forge::daal4py==2021.5.0=py39h8eeab0e_0 - conda-forge::jpeg==9e=hac89ed1_2 - conda-forge::pillow==9.2.0=py39h35d4919_3 - conda-forge::sqlite==3.40.0=h9ae0607_0 - conda-forge::tabula-py==2.5.0=py39h6e9494a_1 - conda-forge::libpng==1.6.39=ha978bb4_0 - conda-forge::libprotobuf==3.21.9=hbc0c0cd_0 - conda-forge::pyrsistent==0.19.2=py39ha30fb19_0 - conda-forge::pyzmq==24.0.1=py39hed8f129_1 - conda-forge::icu==70.1=h96cf925_0 - conda-forge::tbb==2021.7.0=hb8565cd_0 - conda-forge::libcrc32c==1.1.2=he49afe7_0 - conda-forge::libopenblas==0.3.21=openmp_h429af6e_3 - conda-forge::chardet==5.0.0=py39h6e9494a_1 - conda-forge::libnghttp2==1.47.0=h7cbc4dc_1 - conda-forge::qt-main==5.15.6=he0d2461_2 - conda-forge::libutf8proc==2.8.0=hb7f2c08_0 - conda-forge::freetype==2.12.1=h3f81eb7_0 - conda-forge::tk==8.6.12=h5dbffcc_0 - conda-forge::libthrift==0.16.0=h08c06f4_2 - conda-forge::libwebp-base==1.2.4=h775f41a_0 - conda-forge::zlib==1.2.13=hfd90126_4 - conda-forge::libabseil==20220623.0=cxx17_h844d122_5 - conda-forge::tornado==6.1=py39h63b48b0_3 - conda-forge::bzip2==1.0.8=h0d85af4_4 - conda-forge::aws-checksums==0.1.11=h0010a65_7 - conda-forge::libcblas==3.9.0=16_osx64_openblas - conda-forge::libdeflate==1.14=hb7f2c08_0 - conda-forge::jupyter_core==5.0.0=py39h6e9494a_0 - conda-forge::lightgbm==3.3.3=py39hc23ddd4_1 - conda-forge::libllvm15==15.0.5=h7001e86_0 - conda-forge::snappy==1.1.9=h225ccf5_2 - conda-forge::libopus==1.3.1=hc929b4f_1 - conda-forge::xorg-libxau==1.0.9=h35c211d_0 - conda-forge::zeromq==4.3.4=he49afe7_1 - conda-forge::aws-c-event-stream==0.2.7=hb9330a7_13 - conda-forge::openjpeg==2.5.0=h5d0d7b0_1 - conda-forge::libglib==2.74.1=h4c723e1_1 - conda-forge::mysql-common==8.0.31=h7ebae80_0 - conda-forge::contourpy==1.0.6=py39h92daf61_0 - conda-forge::lerc==4.0.0=hb486fe8_0 - conda-forge::lz4==4.0.2=py39hd0af75a_0 - conda-forge::matplotlib==3.6.2=py39h6e9494a_0 - conda-forge::libgfortran5==11.3.0=h082f757_26 - conda-forge::libuv==1.44.2=hac89ed1_0 - conda-forge::libxml2==2.10.3=hb9e07b5_0 - conda-forge::cffi==1.15.1=py39h131948b_2 - conda-forge::markupsafe==2.1.1=py39ha30fb19_2 - conda-forge::pandoc==2.19.2=h694c41f_1 - conda-forge::yaml==0.2.5=h0d85af4_2 - conda-forge::pyyaml==6.0=py39ha30fb19_5 - conda-forge::kiwisolver==1.4.4=py39h92daf61_1 - conda-forge::libtiff==4.4.0=hdb44e8a_4 - conda-forge::pyqt==5.15.7=py39h327fbb6_2 - conda-forge::nspr==4.32=hcd9eead_1 - conda-forge::libsqlite==3.40.0=ha978bb4_0 java.io.IOException: Failed to resolve the following list of packages. Please make sure these packages are available for the local platform or exclude them from the creation process. - conda-forge::jupyter_nbextensions_configurator==0.4.1=py39h6e9494a_2 - conda-forge::py-xgboost==1.7.1=cpu_py39hb0a6171_0 - conda-forge::liblapack==3.9.0=16_osx64_openblas - conda-forge::libclang==15.0.5=default_h20dc2f0_0 - conda-forge::libbrotlienc==1.0.9=hb7f2c08_8 - conda-forge::glib-tools==2.74.1=hbc0c0cd_1 - conda-forge::mpich==4.0.3=hd33e60e_100 - conda-forge::zstd==1.5.2=hfa58983_4 - conda-forge::python-blosc==1.10.6=py39hecff1ad_1 - conda-forge::lxml==4.9.1=py39hfbce9ca_1 - conda-forge::libgoogle-cloud==2.3.0=hb6a50ef_1 - conda-forge::argon2-cffi-bindings==21.2.0=py39ha30fb19_3 - conda-forge::libgrpc==1.49.1=h834a566_1 - conda-forge::msgpack-python==1.0.4=py39h92daf61_1 - conda-forge::arrow-cpp==9.0.0=py39h7d8c460_10_cpu - conda-forge::brotli-bin==1.0.9=hb7f2c08_8 - conda-forge::aws-c-common==0.6.2=h0d85af4_0 - conda-forge::brotlipy==0.7.0=py39ha30fb19_1005 - conda-forge::libcurl==7.86.0=h57eb407_1 - conda-forge::pthread-stubs==0.4=hc929b4f_1001 - conda-forge::libclang13==15.0.5=default_hc4b5f92_0 - conda-forge::aws-c-io==0.10.5=h35aa462_0 - conda-forge::krb5==1.19.3=hb49756b_0 - conda-forge::libvorbis==1.3.7=h046ec9c_0 - conda-forge::hdf5==1.12.2=nompi_hc782337_100 - conda-forge::pyqt5-sip==12.11.0=py39hc100f75_2 - conda-forge::pyarrow==9.0.0=py39hb941c77_10_cpu - conda-forge::libbrotlidec==1.0.9=hb7f2c08_8 - conda-forge::pathlib2==2.3.7.post1=py39h6e9494a_2 - conda-forge::libsodium==1.0.18=hbcb3906_1 - conda-forge::scipy==1.9.3=py39h8a15683_2 - conda-forge::blosc==1.21.1=h97e831e_3 - conda-forge::lcms2==2.14=h90f4b2a_0 - conda-forge::xgboost==1.7.1=cpu_py39hd182d69_0 - conda-forge::libiconv==1.17=hac89ed1_0 - conda-forge::scikit-learn-intelex==2021.5.0=py39h6e9494a_1 - conda-forge::phik==0.12.2=py39h407aec2_2 - conda-forge::matplotlib-base==3.6.2=py39hb2f573b_0 - conda-forge::glog==0.6.0=h8ac2a54_0 - conda-forge::pcre2==10.40=h1c4e4bc_0 - conda-forge::h5py==3.7.0=nompi_py39h7d40783_102 - conda-forge::statsmodels==0.13.5=py39h7cc1f47_2 - conda-forge::libblas==3.9.0=16_osx64_openblas - conda-forge::mysql-libs==8.0.31=hc37e033_0 - conda-forge::openjdk==17.0.3=hbc0c0cd_4 - conda-forge::libxgboost==1.7.1=cpu_h0c1cf5f_0 - conda-forge::aws-sdk-cpp==1.8.186=h7c85d8e_4 - conda-forge::unicodedata2==15.0.0=py39ha30fb19_0 - conda-forge::xz==5.2.6=h775f41a_0 - conda-forge::psutil==5.9.4=py39ha30fb19_0 - conda-forge::nss==3.78=ha8197d3_0 - conda-forge::dal==2021.5.0=h694c41f_782 - conda-forge::ipykernel==6.18.0=pyh736e0ef_0 - conda-forge::ca-certificates==2022.9.24=h033912b_0 - conda-forge::python==3.9.15=h531fd05_0_cpython - conda-forge::nodejs==18.12.1=h3591b89_0 - conda-forge::c-ares==1.18.1=h0d85af4_0 - conda-forge::debugpy==1.6.3=py39h7a8716b_1 - conda-forge::fonttools==4.38.0=py39ha30fb19_1 - conda-forge::brotli==1.0.9=hb7f2c08_8 - conda-forge::libbrotlicommon==1.0.9=hb7f2c08_8 - conda-forge::pywavelets==1.3.0=py39h7cc1f47_2 - conda-forge::cryptography==38.0.3=py39h7eb6a14_0 - conda-forge::lz4-c==1.9.3=he49afe7_1 - conda-forge::fastparquet==2022.11.0=py39h7cc1f47_0 - conda-forge::libzlib==1.2.13=hfd90126_4 - conda-forge::libogg==1.3.4=h35c211d_1 - conda-forge::libxslt==1.1.37=h5d22bc9_0 - conda-forge::libpq==14.5=h50fae06_1 - conda-forge::libffi==3.4.2=h0d85af4_5 - conda-forge::cramjam==2.6.2=py39hd4bc93a_0 - conda-forge::numexpr==2.8.3=py39hecff1ad_1 - conda-forge::gflags==2.2.2=hb1e8313_1004 - conda-forge::libssh2==1.10.0=h7535e13_3 - conda-forge::re2==2022.06.01=hb486fe8_1 - conda-forge::sip==6.7.5=py39h7a8716b_0 - conda-forge::openpyxl==3.0.10=py39ha30fb19_2 - conda-forge::cytoolz==0.12.0=py39ha30fb19_1 - conda-forge::xorg-libxdmcp==1.1.3=h35c211d_0 - conda-forge::aws-c-cal==0.5.11=hd2e2f4b_0 - conda-forge::jupyter_highlight_selected_word==0.2.0=py39h6e9494a_1005 - conda-forge::openssl==1.1.1s=hfd90126_0 - conda-forge::libevent==2.1.10=h815e4d9_4 - conda-forge::jupyter==1.0.0=py39h6e9494a_7 - conda-forge::pytables==3.7.0=py39hc15ac9a_3 - conda-forge::daal4py==2021.5.0=py39h8eeab0e_0 - conda-forge::jpeg==9e=hac89ed1_2 - conda-forge::pillow==9.2.0=py39h35d4919_3 - conda-forge::sqlite==3.40.0=h9ae0607_0 - conda-forge::tabula-py==2.5.0=py39h6e9494a_1 - conda-forge::libpng==1.6.39=ha978bb4_0 - conda-forge::libprotobuf==3.21.9=hbc0c0cd_0 - conda-forge::pyrsistent==0.19.2=py39ha30fb19_0 - conda-forge::pyzmq==24.0.1=py39hed8f129_1 - conda-forge::icu==70.1=h96cf925_0 - conda-forge::tbb==2021.7.0=hb8565cd_0 - conda-forge::libcrc32c==1.1.2=he49afe7_0 - conda-forge::libopenblas==0.3.21=openmp_h429af6e_3 - conda-forge::chardet==5.0.0=py39h6e9494a_1 - conda-forge::libnghttp2==1.47.0=h7cbc4dc_1 - conda-forge::qt-main==5.15.6=he0d2461_2 - conda-forge::libutf8proc==2.8.0=hb7f2c08_0 - conda-forge::freetype==2.12.1=h3f81eb7_0 - conda-forge::tk==8.6.12=h5dbffcc_0 - conda-forge::libthrift==0.16.0=h08c06f4_2 - conda-forge::libwebp-base==1.2.4=h775f41a_0 - conda-forge::zlib==1.2.13=hfd90126_4 - conda-forge::libabseil==20220623.0=cxx17_h844d122_5 - conda-forge::tornado==6.1=py39h63b48b0_3 - conda-forge::bzip2==1.0.8=h0d85af4_4 - conda-forge::aws-checksums==0.1.11=h0010a65_7 - conda-forge::libcblas==3.9.0=16_osx64_openblas - conda-forge::libdeflate==1.14=hb7f2c08_0 - conda-forge::jupyter_core==5.0.0=py39h6e9494a_0 - conda-forge::lightgbm==3.3.3=py39hc23ddd4_1 - conda-forge::libllvm15==15.0.5=h7001e86_0 - conda-forge::snappy==1.1.9=h225ccf5_2 - conda-forge::libopus==1.3.1=hc929b4f_1 - conda-forge::xorg-libxau==1.0.9=h35c211d_0 - conda-forge::zeromq==4.3.4=he49afe7_1 - conda-forge::aws-c-event-stream==0.2.7=hb9330a7_13 - conda-forge::openjpeg==2.5.0=h5d0d7b0_1 - conda-forge::libglib==2.74.1=h4c723e1_1 - conda-forge::mysql-common==8.0.31=h7ebae80_0 - conda-forge::contourpy==1.0.6=py39h92daf61_0 - conda-forge::lerc==4.0.0=hb486fe8_0 - conda-forge::lz4==4.0.2=py39hd0af75a_0 - conda-forge::matplotlib==3.6.2=py39h6e9494a_0 - conda-forge::libgfortran5==11.3.0=h082f757_26 - conda-forge::libuv==1.44.2=hac89ed1_0 - conda-forge::libxml2==2.10.3=hb9e07b5_0 - conda-forge::cffi==1.15.1=py39h131948b_2 - conda-forge::markupsafe==2.1.1=py39ha30fb19_2 - conda-forge::pandoc==2.19.2=h694c41f_1 - conda-forge::yaml==0.2.5=h0d85af4_2 - conda-forge::pyyaml==6.0=py39ha30fb19_5 - conda-forge::kiwisolver==1.4.4=py39h92daf61_1 - conda-forge::libtiff==4.4.0=hdb44e8a_4 - conda-forge::pyqt==5.15.7=py39h327fbb6_2 - conda-forge::nspr==4.32=hcd9eead_1 - conda-forge::libsqlite==3.40.0=ha978bb4_0 at org.knime.conda.CondaExecutionMonitor.monitorExecution(CondaExecutionMonitor.java:150) at org.knime.conda.Conda.callCondaAndMonitorExecution(Conda.java:737) at org.knime.conda.Conda.createEnvironmentFromFile(Conda.java:625) at org.knime.conda.Conda.createEnvironment(Conda.java:599) at org.knime.conda.nodes.envprop.CondaEnvironmentPropagationNodeModel.execute(CondaEnvironmentPropagationNodeModel.java:338) at org.knime.core.node.NodeModel.executeModel(NodeModel.java:549) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1267) at org.knime.core.node.Node.execute(Node.java:1041) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:95) at org.knime.core.node.workflow.NodeExecutionJob.internalRun(NodeExecutionJob.java:201) at org.knime.core.node.workflow.NodeExecutionJob.run(NodeExecutionJob.java:117) at org.knime.core.util.ThreadUtils$RunnableWithContextImpl.runWithContext(ThreadUtils.java:367) at org.knime.core.util.ThreadUtils$RunnableWithContext.run(ThreadUtils.java:221) at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at org.knime.core.util.ThreadPool$MyFuture.run(ThreadPool.java:123) at org.knime.core.util.ThreadPool$Worker.run(ThreadPool.java:246) 2022-12-05 11:46:00,695 : ERROR : KNIME-Worker-13-Conda Environment Propagation 3:32:0:104 : : Node : Conda Environment Propagation : 3:32:0:104 : Execute failed: Failed to resolve the following list of packages. Please make sure these packages are available for the local platform or exclude them from the creation process. - conda-forge::ipykernel==6.18.0=pyh025b116_0 java.io.IOException: Failed to resolve the following list of packages. Please make sure these packages are available for the local platform or exclude them from the creation process. - conda-forge::ipykernel==6.18.0=pyh025b116_0 at org.knime.conda.CondaExecutionMonitor.monitorExecution(CondaExecutionMonitor.java:150) at org.knime.conda.Conda.callCondaAndMonitorExecution(Conda.java:737) at org.knime.conda.Conda.createEnvironmentFromFile(Conda.java:625) at org.knime.conda.Conda.createEnvironment(Conda.java:599) at org.knime.conda.nodes.envprop.CondaEnvironmentPropagationNodeModel.execute(CondaEnvironmentPropagationNodeModel.java:338) at org.knime.core.node.NodeModel.executeModel(NodeModel.java:549) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1267) at org.knime.core.node.Node.execute(Node.java:1041) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:95) at org.knime.core.node.workflow.NodeExecutionJob.internalRun(NodeExecutionJob.java:201) at org.knime.core.node.workflow.NodeExecutionJob.run(NodeExecutionJob.java:117) at org.knime.core.util.ThreadUtils$RunnableWithContextImpl.runWithContext(ThreadUtils.java:367) at org.knime.core.util.ThreadUtils$RunnableWithContext.run(ThreadUtils.java:221) at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at org.knime.core.util.ThreadPool$MyFuture.run(ThreadPool.java:123) at org.knime.core.util.ThreadPool$Worker.run(ThreadPool.java:246) 2022-12-05 12:03:44,469 : WARN : ModalContext : : Node : Keras Network Reader : 5:1038 : No file selected. Please configure the node. 2022-12-05 12:03:44,501 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Workflow could not be loaded. No such node ID: 5:527:0:526 java.lang.IllegalArgumentException: No such node ID: 5:527:0:526 at org.knime.core.node.workflow.WorkflowManager.getNodeContainer(WorkflowManager.java:6997) at org.knime.core.node.workflow.SubNodeContainer.getVirtualInNode(SubNodeContainer.java:700) at org.knime.core.node.workflow.SubNodeContainer.getVirtualInNodeModel(SubNodeContainer.java:705) at org.knime.core.node.workflow.SubNodeContainer.cleanup(SubNodeContainer.java:1565) at org.knime.core.node.workflow.WorkflowManager.removeNode(WorkflowManager.java:1059) at org.knime.core.node.workflow.WorkflowManager.loadContent(WorkflowManager.java:8682) at org.knime.core.node.workflow.WorkflowManager.postLoad(WorkflowManager.java:8793) at org.knime.core.node.workflow.WorkflowManager.loadContent(WorkflowManager.java:8679) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8543) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8464) at org.knime.core.node.workflow.WorkflowManager.load(WorkflowManager.java:8437) at org.knime.core.node.workflow.WorkflowManager.loadProject(WorkflowManager.java:8282) at org.knime.workbench.editor2.LoadWorkflowRunnable.run(LoadWorkflowRunnable.java:185) at org.eclipse.jface.operation.ModalContext$ModalContextThread.run(ModalContext.java:122) 2022-12-05 12:11:10,877 : WARN : KNIME-Worker-8-Keras Network Learner 5:27 : : DLKnimeNetworkTrainingInputPreparer : Keras Network Learner : 5:27 : The number of rows of the input training data table (2310) is not a multiple of the selected training batch size (100). Thus, the last batch of each epoch will continue at the beginning of the training data table after reaching its end. You can avoid that by adjusting the number of rows of the table or the batch size if desired. 2022-12-05 12:11:10,880 : WARN : KNIME-Worker-8-Keras Network Learner 5:27 : : DLKnimeNetworkValidationInputPreparer : Keras Network Learner : 5:27 : The number of rows of the input validation data table (99) is not a multiple of the selected validation batch size (100). Thus, the last batch of each validation phase will continue at the beginning of the validation data table after reaching its end. You can avoid that by adjusting the number of rows of the table or the batch size if desired. 2022-12-05 12:11:12,281 : WARN : Thread-78 : : PythonKernel : Keras Network Learner : 5:27 : C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2022-12-05 12:11:15,751 : ERROR : KNIME-Worker-8-Keras Network Learner 5:27 : : DLKerasLearnerNodeModel : Keras Network Learner : 5:27 : Blas GEMM launch failed : a.shape=(100, 2), b.shape=(2, 4), m=100, n=4, k=2 [[{{node dense_1/MatMul}} = MatMul[T=DT_FLOAT, _class=["loc:@training/Adam/gradients/dense_1/MatMul_grad/MatMul_1"], transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/device:GPU:0"](_arg_input_1_0_0/_63, dense_1/kernel/read)]] [[{{node loss/mul/_83}} = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_484_loss/mul", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]] 2022-12-05 12:11:15,751 : ERROR : KNIME-Worker-8-Keras Network Learner 5:27 : : Node : Keras Network Learner : 5:27 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. java.lang.RuntimeException: An error occured during training of the Keras deep learning network. See log for details. at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.handleGeneralException(DLKerasLearnerNodeModel.java:751) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:721) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.execute(DLKerasLearnerNodeModel.java:320) at org.knime.core.node.NodeModel.executeModel(NodeModel.java:549) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1267) at org.knime.core.node.Node.execute(Node.java:1041) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:95) at org.knime.core.node.workflow.NodeExecutionJob.internalRun(NodeExecutionJob.java:201) at org.knime.core.node.workflow.NodeExecutionJob.run(NodeExecutionJob.java:117) at org.knime.core.util.ThreadUtils$RunnableWithContextImpl.runWithContext(ThreadUtils.java:367) at org.knime.core.util.ThreadUtils$RunnableWithContext.run(ThreadUtils.java:221) at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at org.knime.core.util.ThreadPool$MyFuture.run(ThreadPool.java:123) at org.knime.core.util.ThreadPool$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: Blas GEMM launch failed : a.shape=(100, 2), b.shape=(2, 4), m=100, n=4, k=2 [[{{node dense_1/MatMul}} = MatMul[T=DT_FLOAT, _class=["loc:@training/Adam/gradients/dense_1/MatMul_grad/MatMul_1"], transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/device:GPU:0"](_arg_input_1_0_0/_63, dense_1/kernel/read)]] [[{{node loss/mul/_83}} = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_484_loss/mul", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]] at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$DLTrainingTask.runInternal(DLPythonAbstractCommands.java:931) at org.knime.core.util.ThreadUtils$CallableWithContextImpl.callWithContext(ThreadUtils.java:383) at org.knime.core.util.ThreadUtils$CallableWithContext.call(ThreadUtils.java:269) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source) at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source) at java.base/java.lang.Thread.run(Unknown Source) 2022-12-05 12:16:54,019 : WARN : KNIME-Worker-11-Keras Network Learner 5:27 : : DLKnimeNetworkTrainingInputPreparer : Keras Network Learner : 5:27 : The number of rows of the input training data table (2310) is not a multiple of the selected training batch size (100). Thus, the last batch of each epoch will continue at the beginning of the training data table after reaching its end. You can avoid that by adjusting the number of rows of the table or the batch size if desired. 2022-12-05 12:16:54,020 : WARN : KNIME-Worker-11-Keras Network Learner 5:27 : : DLKnimeNetworkValidationInputPreparer : Keras Network Learner : 5:27 : The number of rows of the input validation data table (99) is not a multiple of the selected validation batch size (100). Thus, the last batch of each validation phase will continue at the beginning of the validation data table after reaching its end. You can avoid that by adjusting the number of rows of the table or the batch size if desired. 2022-12-05 12:16:55,507 : WARN : Thread-103 : : PythonKernel : Keras Network Learner : 5:27 : C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2022-12-05 12:16:58,395 : ERROR : KNIME-Worker-11-Keras Network Learner 5:27 : : DLKerasLearnerNodeModel : Keras Network Learner : 5:27 : Blas GEMM launch failed : a.shape=(100, 2), b.shape=(2, 4), m=100, n=4, k=2 [[{{node dense_1/MatMul}} = MatMul[T=DT_FLOAT, _class=["loc:@training/Adam/gradients/dense_1/MatMul_grad/MatMul_1"], transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/device:GPU:0"](_arg_input_1_0_0/_63, dense_1/kernel/read)]] [[{{node metrics/acc/Mean_1/_85}} = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_486_metrics/acc/Mean_1", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]] 2022-12-05 12:16:58,395 : ERROR : KNIME-Worker-11-Keras Network Learner 5:27 : : Node : Keras Network Learner : 5:27 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. java.lang.RuntimeException: An error occured during training of the Keras deep learning network. See log for details. at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.handleGeneralException(DLKerasLearnerNodeModel.java:751) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:721) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.execute(DLKerasLearnerNodeModel.java:320) at org.knime.core.node.NodeModel.executeModel(NodeModel.java:549) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1267) at org.knime.core.node.Node.execute(Node.java:1041) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:95) at org.knime.core.node.workflow.NodeExecutionJob.internalRun(NodeExecutionJob.java:201) at org.knime.core.node.workflow.NodeExecutionJob.run(NodeExecutionJob.java:117) at org.knime.core.util.ThreadUtils$RunnableWithContextImpl.runWithContext(ThreadUtils.java:367) at org.knime.core.util.ThreadUtils$RunnableWithContext.run(ThreadUtils.java:221) at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at org.knime.core.util.ThreadPool$MyFuture.run(ThreadPool.java:123) at org.knime.core.util.ThreadPool$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: Blas GEMM launch failed : a.shape=(100, 2), b.shape=(2, 4), m=100, n=4, k=2 [[{{node dense_1/MatMul}} = MatMul[T=DT_FLOAT, _class=["loc:@training/Adam/gradients/dense_1/MatMul_grad/MatMul_1"], transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/device:GPU:0"](_arg_input_1_0_0/_63, dense_1/kernel/read)]] [[{{node metrics/acc/Mean_1/_85}} = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_486_metrics/acc/Mean_1", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]] at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$DLTrainingTask.runInternal(DLPythonAbstractCommands.java:931) at org.knime.core.util.ThreadUtils$CallableWithContextImpl.callWithContext(ThreadUtils.java:383) at org.knime.core.util.ThreadUtils$CallableWithContext.call(ThreadUtils.java:269) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source) at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source) at java.base/java.lang.Thread.run(Unknown Source) 2022-12-05 12:17:48,592 : WARN : KNIME-Worker-14-Keras Network Learner 5:27 : : DLKnimeNetworkTrainingInputPreparer : Keras Network Learner : 5:27 : The number of rows of the input training data table (2310) is not a multiple of the selected training batch size (100). Thus, the last batch of each epoch will continue at the beginning of the training data table after reaching its end. You can avoid that by adjusting the number of rows of the table or the batch size if desired. 2022-12-05 12:17:48,592 : WARN : KNIME-Worker-14-Keras Network Learner 5:27 : : DLKnimeNetworkValidationInputPreparer : Keras Network Learner : 5:27 : The number of rows of the input validation data table (99) is not a multiple of the selected validation batch size (100). Thus, the last batch of each validation phase will continue at the beginning of the validation data table after reaching its end. You can avoid that by adjusting the number of rows of the table or the batch size if desired. 2022-12-05 12:17:49,873 : WARN : Thread-112 : : PythonKernel : Keras Network Learner : 5:27 : C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2022-12-05 12:17:52,724 : ERROR : KNIME-Worker-14-Keras Network Learner 5:27 : : DLKerasLearnerNodeModel : Keras Network Learner : 5:27 : Blas GEMM launch failed : a.shape=(100, 2), b.shape=(2, 4), m=100, n=4, k=2 [[{{node dense_1/MatMul}} = MatMul[T=DT_FLOAT, _class=["loc:@training/Adam/gradients/dense_1/MatMul_grad/MatMul_1"], transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/device:GPU:0"](_arg_input_1_0_0/_63, dense_1/kernel/read)]] [[{{node metrics/acc/Mean_1/_85}} = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_486_metrics/acc/Mean_1", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]] 2022-12-05 12:17:52,724 : ERROR : KNIME-Worker-14-Keras Network Learner 5:27 : : Node : Keras Network Learner : 5:27 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. java.lang.RuntimeException: An error occured during training of the Keras deep learning network. See log for details. at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.handleGeneralException(DLKerasLearnerNodeModel.java:751) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:721) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.execute(DLKerasLearnerNodeModel.java:320) at org.knime.core.node.NodeModel.executeModel(NodeModel.java:549) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1267) at org.knime.core.node.Node.execute(Node.java:1041) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:95) at org.knime.core.node.workflow.NodeExecutionJob.internalRun(NodeExecutionJob.java:201) at org.knime.core.node.workflow.NodeExecutionJob.run(NodeExecutionJob.java:117) at org.knime.core.util.ThreadUtils$RunnableWithContextImpl.runWithContext(ThreadUtils.java:367) at org.knime.core.util.ThreadUtils$RunnableWithContext.run(ThreadUtils.java:221) at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at org.knime.core.util.ThreadPool$MyFuture.run(ThreadPool.java:123) at org.knime.core.util.ThreadPool$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: Blas GEMM launch failed : a.shape=(100, 2), b.shape=(2, 4), m=100, n=4, k=2 [[{{node dense_1/MatMul}} = MatMul[T=DT_FLOAT, _class=["loc:@training/Adam/gradients/dense_1/MatMul_grad/MatMul_1"], transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/device:GPU:0"](_arg_input_1_0_0/_63, dense_1/kernel/read)]] [[{{node metrics/acc/Mean_1/_85}} = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_486_metrics/acc/Mean_1", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]] at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$DLTrainingTask.runInternal(DLPythonAbstractCommands.java:931) at org.knime.core.util.ThreadUtils$CallableWithContextImpl.callWithContext(ThreadUtils.java:383) at org.knime.core.util.ThreadUtils$CallableWithContext.call(ThreadUtils.java:269) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source) at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source) at java.base/java.lang.Thread.run(Unknown Source) 2022-12-05 12:21:06,943 : WARN : KNIME-Worker-23-Keras Network Learner 5:27 : : DLKnimeNetworkTrainingInputPreparer : Keras Network Learner : 5:27 : The number of rows of the input training data table (2310) is not a multiple of the selected training batch size (100). Thus, the last batch of each epoch will continue at the beginning of the training data table after reaching its end. You can avoid that by adjusting the number of rows of the table or the batch size if desired. 2022-12-05 12:21:06,944 : WARN : KNIME-Worker-23-Keras Network Learner 5:27 : : DLKnimeNetworkValidationInputPreparer : Keras Network Learner : 5:27 : The number of rows of the input validation data table (99) is not a multiple of the selected validation batch size (100). Thus, the last batch of each validation phase will continue at the beginning of the validation data table after reaching its end. You can avoid that by adjusting the number of rows of the table or the batch size if desired. 2022-12-05 12:21:08,584 : WARN : Thread-137 : : PythonKernel : Keras Network Learner : 5:27 : C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2022-12-05 12:21:11,427 : ERROR : KNIME-Worker-23-Keras Network Learner 5:27 : : DLKerasLearnerNodeModel : Keras Network Learner : 5:27 : Blas GEMM launch failed : a.shape=(100, 2), b.shape=(2, 4), m=100, n=4, k=2 [[{{node dense_1/MatMul}} = MatMul[T=DT_FLOAT, _class=["loc:@training/Adam/gradients/dense_1/MatMul_grad/MatMul_1"], transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/device:GPU:0"](_arg_input_1_0_0/_63, dense_1/kernel/read)]] [[{{node metrics/acc/Mean_1/_85}} = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_486_metrics/acc/Mean_1", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]] 2022-12-05 12:21:11,428 : ERROR : KNIME-Worker-23-Keras Network Learner 5:27 : : Node : Keras Network Learner : 5:27 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. java.lang.RuntimeException: An error occured during training of the Keras deep learning network. See log for details. at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.handleGeneralException(DLKerasLearnerNodeModel.java:751) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:721) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.execute(DLKerasLearnerNodeModel.java:320) at org.knime.core.node.NodeModel.executeModel(NodeModel.java:549) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1267) at org.knime.core.node.Node.execute(Node.java:1041) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:95) at org.knime.core.node.workflow.NodeExecutionJob.internalRun(NodeExecutionJob.java:201) at org.knime.core.node.workflow.NodeExecutionJob.run(NodeExecutionJob.java:117) at org.knime.core.util.ThreadUtils$RunnableWithContextImpl.runWithContext(ThreadUtils.java:367) at org.knime.core.util.ThreadUtils$RunnableWithContext.run(ThreadUtils.java:221) at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at org.knime.core.util.ThreadPool$MyFuture.run(ThreadPool.java:123) at org.knime.core.util.ThreadPool$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: Blas GEMM launch failed : a.shape=(100, 2), b.shape=(2, 4), m=100, n=4, k=2 [[{{node dense_1/MatMul}} = MatMul[T=DT_FLOAT, _class=["loc:@training/Adam/gradients/dense_1/MatMul_grad/MatMul_1"], transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/device:GPU:0"](_arg_input_1_0_0/_63, dense_1/kernel/read)]] [[{{node metrics/acc/Mean_1/_85}} = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_486_metrics/acc/Mean_1", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]] at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$DLTrainingTask.runInternal(DLPythonAbstractCommands.java:931) at org.knime.core.util.ThreadUtils$CallableWithContextImpl.callWithContext(ThreadUtils.java:383) at org.knime.core.util.ThreadUtils$CallableWithContext.call(ThreadUtils.java:269) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source) at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source) at java.base/java.lang.Thread.run(Unknown Source) 2022-12-05 12:24:18,464 : WARN : KNIME-Worker-24-Missing Value 5:28 : : Node : Missing Value : 5:28 : The current settings use missing value handling methods that cannot be represented in PMML 4.2 2022-12-05 12:24:25,699 : WARN : KNIME-Worker-30-Keras Network Learner 5:27 : : DLKnimeNetworkTrainingInputPreparer : Keras Network Learner : 5:27 : The number of rows of the input training data table (2310) is not a multiple of the selected training batch size (100). Thus, the last batch of each epoch will continue at the beginning of the training data table after reaching its end. You can avoid that by adjusting the number of rows of the table or the batch size if desired. 2022-12-05 12:24:25,700 : WARN : KNIME-Worker-30-Keras Network Learner 5:27 : : DLKnimeNetworkValidationInputPreparer : Keras Network Learner : 5:27 : The number of rows of the input validation data table (99) is not a multiple of the selected validation batch size (100). Thus, the last batch of each validation phase will continue at the beginning of the validation data table after reaching its end. You can avoid that by adjusting the number of rows of the table or the batch size if desired. 2022-12-05 12:24:27,306 : WARN : Thread-149 : : PythonKernel : Keras Network Learner : 5:27 : C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2022-12-05 12:24:30,150 : ERROR : KNIME-Worker-30-Keras Network Learner 5:27 : : DLKerasLearnerNodeModel : Keras Network Learner : 5:27 : Blas GEMM launch failed : a.shape=(100, 2), b.shape=(2, 4), m=100, n=4, k=2 [[{{node dense_1/MatMul}} = MatMul[T=DT_FLOAT, _class=["loc:@training/Adam/gradients/dense_1/MatMul_grad/MatMul_1"], transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/device:GPU:0"](_arg_input_1_0_0/_63, dense_1/kernel/read)]] [[{{node metrics/acc/Mean_1/_85}} = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_486_metrics/acc/Mean_1", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]] 2022-12-05 12:24:30,150 : ERROR : KNIME-Worker-30-Keras Network Learner 5:27 : : Node : Keras Network Learner : 5:27 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. java.lang.RuntimeException: An error occured during training of the Keras deep learning network. See log for details. at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.handleGeneralException(DLKerasLearnerNodeModel.java:751) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:721) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.execute(DLKerasLearnerNodeModel.java:320) at org.knime.core.node.NodeModel.executeModel(NodeModel.java:549) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1267) at org.knime.core.node.Node.execute(Node.java:1041) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:95) at org.knime.core.node.workflow.NodeExecutionJob.internalRun(NodeExecutionJob.java:201) at org.knime.core.node.workflow.NodeExecutionJob.run(NodeExecutionJob.java:117) at org.knime.core.util.ThreadUtils$RunnableWithContextImpl.runWithContext(ThreadUtils.java:367) at org.knime.core.util.ThreadUtils$RunnableWithContext.run(ThreadUtils.java:221) at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at org.knime.core.util.ThreadPool$MyFuture.run(ThreadPool.java:123) at org.knime.core.util.ThreadPool$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: Blas GEMM launch failed : a.shape=(100, 2), b.shape=(2, 4), m=100, n=4, k=2 [[{{node dense_1/MatMul}} = MatMul[T=DT_FLOAT, _class=["loc:@training/Adam/gradients/dense_1/MatMul_grad/MatMul_1"], transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/device:GPU:0"](_arg_input_1_0_0/_63, dense_1/kernel/read)]] [[{{node metrics/acc/Mean_1/_85}} = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_486_metrics/acc/Mean_1", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]] at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$DLTrainingTask.runInternal(DLPythonAbstractCommands.java:931) at org.knime.core.util.ThreadUtils$CallableWithContextImpl.callWithContext(ThreadUtils.java:383) at org.knime.core.util.ThreadUtils$CallableWithContext.call(ThreadUtils.java:269) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source) at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source) at java.base/java.lang.Thread.run(Unknown Source) 2022-12-05 12:29:05,051 : WARN : Thread-173 : : PythonKernel : Keras Network Learner : 5:27 : C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2022-12-05 12:29:44,291 : ERROR : KNIME-Worker-34-Keras Network Executor 5:26 : : DLAbstractExecutorNodeModel : Keras Network Executor : 5:26 : Blas GEMM launch failed : a.shape=(100, 2), b.shape=(2, 4), m=100, n=4, k=2 [[{{node dense_1/MatMul}} = MatMul[T=DT_FLOAT, transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/device:GPU:0"](_arg_input_1_0_0/_25, dense_1/kernel/read)]] [[{{node Output_1/Relu/_27}} = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_23_Output_1/Relu", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]] Traceback (most recent call last): File "", line 6, in File "C:\Users\user\.eclipse\903338280_win32_win32_x86_64\plugins\org.knime.dl.keras_4.6.0.v202205270827\py\DLKerasNetwork.py", line 173, in execute Y = intermediate_model.predict(X, batch_size=batch_size, verbose=0) File "C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\keras\engine\training.py", line 1169, in predict steps=steps) File "C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\keras\engine\training_arrays.py", line 294, in predict_loop batch_outs = f(ins_batch) File "C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\keras\backend\tensorflow_backend.py", line 2715, in __call__ return self._call(inputs) File "C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\keras\backend\tensorflow_backend.py", line 2675, in _call fetched = self._callable_fn(*array_vals) File "C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\tensorflow\python\client\session.py", line 1439, in __call__ run_metadata_ptr) File "C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\tensorflow\python\framework\errors_impl.py", line 528, in __exit__ c_api.TF_GetCode(self.status.status)) tensorflow.python.framework.errors_impl.InternalError: Blas GEMM launch failed : a.shape=(100, 2), b.shape=(2, 4), m=100, n=4, k=2 [[{{node dense_1/MatMul}} = MatMul[T=DT_FLOAT, transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/device:GPU:0"](_arg_input_1_0_0/_25, dense_1/kernel/read)]] [[{{node Output_1/Relu/_27}} = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_23_Output_1/Relu", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]] 2022-12-05 12:29:44,291 : ERROR : KNIME-Worker-34-Keras Network Executor 5:26 : : Node : Keras Network Executor : 5:26 : Execute failed: An error occured during execution of the deep learning network. See log for details. java.lang.RuntimeException: An error occured during execution of the deep learning network. See log for details. at org.knime.dl.base.nodes.executor2.DLAbstractExecutorNodeModel.handleGeneralException(DLAbstractExecutorNodeModel.java:680) at org.knime.dl.base.nodes.executor2.DLAbstractExecutorNodeModel.executeInternal(DLAbstractExecutorNodeModel.java:562) at org.knime.dl.base.nodes.executor2.DLAbstractExecutorNodeModel.execute(DLAbstractExecutorNodeModel.java:294) at org.knime.core.node.NodeModel.executeModel(NodeModel.java:549) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1267) at org.knime.core.node.Node.execute(Node.java:1041) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:95) at org.knime.core.node.workflow.NodeExecutionJob.internalRun(NodeExecutionJob.java:201) at org.knime.core.node.workflow.NodeExecutionJob.run(NodeExecutionJob.java:117) at org.knime.core.util.ThreadUtils$RunnableWithContextImpl.runWithContext(ThreadUtils.java:367) at org.knime.core.util.ThreadUtils$RunnableWithContext.run(ThreadUtils.java:221) at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at org.knime.core.util.ThreadPool$MyFuture.run(ThreadPool.java:123) at org.knime.core.util.ThreadPool$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: Blas GEMM launch failed : a.shape=(100, 2), b.shape=(2, 4), m=100, n=4, k=2 [[{{node dense_1/MatMul}} = MatMul[T=DT_FLOAT, transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/device:GPU:0"](_arg_input_1_0_0/_25, dense_1/kernel/read)]] [[{{node Output_1/Relu/_27}} = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_23_Output_1/Relu", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]] Traceback (most recent call last): File "", line 6, in File "C:\Users\user\.eclipse\903338280_win32_win32_x86_64\plugins\org.knime.dl.keras_4.6.0.v202205270827\py\DLKerasNetwork.py", line 173, in execute Y = intermediate_model.predict(X, batch_size=batch_size, verbose=0) File "C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\keras\engine\training.py", line 1169, in predict steps=steps) File "C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\keras\engine\training_arrays.py", line 294, in predict_loop batch_outs = f(ins_batch) File "C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\keras\backend\tensorflow_backend.py", line 2715, in __call__ return self._call(inputs) File "C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\keras\backend\tensorflow_backend.py", line 2675, in _call fetched = self._callable_fn(*array_vals) File "C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\tensorflow\python\client\session.py", line 1439, in __call__ run_metadata_ptr) File "C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\tensorflow\python\framework\errors_impl.py", line 528, in __exit__ c_api.TF_GetCode(self.status.status)) tensorflow.python.framework.errors_impl.InternalError: Blas GEMM launch failed : a.shape=(100, 2), b.shape=(2, 4), m=100, n=4, k=2 [[{{node dense_1/MatMul}} = MatMul[T=DT_FLOAT, transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/device:GPU:0"](_arg_input_1_0_0/_25, dense_1/kernel/read)]] [[{{node Output_1/Relu/_27}} = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_23_Output_1/Relu", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]] at org.knime.python2.kernel.Python2KernelBackend.executeCommand(Python2KernelBackend.java:1282) at org.knime.python2.kernel.Python2KernelBackend.execute(Python2KernelBackend.java:1238) at org.knime.python2.kernel.Python2KernelBackend.lambda$10(Python2KernelBackend.java:1244) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source) at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source) at java.base/java.lang.Thread.run(Unknown Source) 2022-12-05 12:36:44,933 : ERROR : KNIME-Worker-36-Keras Network Executor 5:26 : : DLAbstractExecutorNodeModel : Keras Network Executor : 5:26 : Blas GEMM launch failed : a.shape=(100, 2), b.shape=(2, 4), m=100, n=4, k=2 [[{{node dense_1/MatMul}} = MatMul[T=DT_FLOAT, transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/device:GPU:0"](_arg_input_1_0_0/_25, dense_1/kernel/read)]] [[{{node Output_1/Relu/_27}} = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_23_Output_1/Relu", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]] Traceback (most recent call last): File "", line 6, in File "C:\Users\user\.eclipse\903338280_win32_win32_x86_64\plugins\org.knime.dl.keras_4.6.0.v202205270827\py\DLKerasNetwork.py", line 173, in execute Y = intermediate_model.predict(X, batch_size=batch_size, verbose=0) File "C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\keras\engine\training.py", line 1169, in predict steps=steps) File "C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\keras\engine\training_arrays.py", line 294, in predict_loop batch_outs = f(ins_batch) File "C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\keras\backend\tensorflow_backend.py", line 2715, in __call__ return self._call(inputs) File "C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\keras\backend\tensorflow_backend.py", line 2675, in _call fetched = self._callable_fn(*array_vals) File "C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\tensorflow\python\client\session.py", line 1439, in __call__ run_metadata_ptr) File "C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\tensorflow\python\framework\errors_impl.py", line 528, in __exit__ c_api.TF_GetCode(self.status.status)) tensorflow.python.framework.errors_impl.InternalError: Blas GEMM launch failed : a.shape=(100, 2), b.shape=(2, 4), m=100, n=4, k=2 [[{{node dense_1/MatMul}} = MatMul[T=DT_FLOAT, transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/device:GPU:0"](_arg_input_1_0_0/_25, dense_1/kernel/read)]] [[{{node Output_1/Relu/_27}} = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_23_Output_1/Relu", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]] 2022-12-05 12:36:44,933 : ERROR : KNIME-Worker-36-Keras Network Executor 5:26 : : Node : Keras Network Executor : 5:26 : Execute failed: An error occured during execution of the deep learning network. See log for details. java.lang.RuntimeException: An error occured during execution of the deep learning network. See log for details. at org.knime.dl.base.nodes.executor2.DLAbstractExecutorNodeModel.handleGeneralException(DLAbstractExecutorNodeModel.java:680) at org.knime.dl.base.nodes.executor2.DLAbstractExecutorNodeModel.executeInternal(DLAbstractExecutorNodeModel.java:562) at org.knime.dl.base.nodes.executor2.DLAbstractExecutorNodeModel.execute(DLAbstractExecutorNodeModel.java:294) at org.knime.core.node.NodeModel.executeModel(NodeModel.java:549) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1267) at org.knime.core.node.Node.execute(Node.java:1041) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:95) at org.knime.core.node.workflow.NodeExecutionJob.internalRun(NodeExecutionJob.java:201) at org.knime.core.node.workflow.NodeExecutionJob.run(NodeExecutionJob.java:117) at org.knime.core.util.ThreadUtils$RunnableWithContextImpl.runWithContext(ThreadUtils.java:367) at org.knime.core.util.ThreadUtils$RunnableWithContext.run(ThreadUtils.java:221) at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at org.knime.core.util.ThreadPool$MyFuture.run(ThreadPool.java:123) at org.knime.core.util.ThreadPool$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: Blas GEMM launch failed : a.shape=(100, 2), b.shape=(2, 4), m=100, n=4, k=2 [[{{node dense_1/MatMul}} = MatMul[T=DT_FLOAT, transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/device:GPU:0"](_arg_input_1_0_0/_25, dense_1/kernel/read)]] [[{{node Output_1/Relu/_27}} = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_23_Output_1/Relu", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]] Traceback (most recent call last): File "", line 6, in File "C:\Users\user\.eclipse\903338280_win32_win32_x86_64\plugins\org.knime.dl.keras_4.6.0.v202205270827\py\DLKerasNetwork.py", line 173, in execute Y = intermediate_model.predict(X, batch_size=batch_size, verbose=0) File "C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\keras\engine\training.py", line 1169, in predict steps=steps) File "C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\keras\engine\training_arrays.py", line 294, in predict_loop batch_outs = f(ins_batch) File "C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\keras\backend\tensorflow_backend.py", line 2715, in __call__ return self._call(inputs) File "C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\keras\backend\tensorflow_backend.py", line 2675, in _call fetched = self._callable_fn(*array_vals) File "C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\tensorflow\python\client\session.py", line 1439, in __call__ run_metadata_ptr) File "C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\tensorflow\python\framework\errors_impl.py", line 528, in __exit__ c_api.TF_GetCode(self.status.status)) tensorflow.python.framework.errors_impl.InternalError: Blas GEMM launch failed : a.shape=(100, 2), b.shape=(2, 4), m=100, n=4, k=2 [[{{node dense_1/MatMul}} = MatMul[T=DT_FLOAT, transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/device:GPU:0"](_arg_input_1_0_0/_25, dense_1/kernel/read)]] [[{{node Output_1/Relu/_27}} = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_23_Output_1/Relu", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]] at org.knime.python2.kernel.Python2KernelBackend.executeCommand(Python2KernelBackend.java:1282) at org.knime.python2.kernel.Python2KernelBackend.execute(Python2KernelBackend.java:1238) at org.knime.python2.kernel.Python2KernelBackend.lambda$10(Python2KernelBackend.java:1244) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source) at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source) at java.base/java.lang.Thread.run(Unknown Source) 2022-12-05 12:37:43,328 : WARN : main : : Node : Keras Network Executor : 5:29 : Network input 'input_1:0' is not yet configured. 2022-12-05 12:37:50,146 : WARN : main : : Node : Keras Network Executor : 5:29 : No network output was selected. 2022-12-05 12:37:50,644 : WARN : main : : Node : Keras Network Executor : 5:29 : No network output was selected. 2022-12-05 12:38:02,463 : WARN : main : : Node : Keras Network Executor : 5:29 : No network output was selected. 2022-12-05 12:38:03,777 : WARN : main : : Node : Keras Network Executor : 5:29 : No network output was selected. 2022-12-05 12:40:20,557 : WARN : main : : Node : Keras Network Executor : 5:29 : No network output was selected. 2022-12-05 12:40:21,353 : WARN : main : : Node : Keras Network Executor : 5:29 : No network output was selected. 2022-12-05 12:40:30,928 : WARN : KNIME-Worker-38-Keras Network Learner 5:27 : : DLKnimeNetworkTrainingInputPreparer : Keras Network Learner : 5:27 : The number of rows of the input training data table (2310) is not a multiple of the selected training batch size (12). Thus, the last batch of each epoch will continue at the beginning of the training data table after reaching its end. You can avoid that by adjusting the number of rows of the table or the batch size if desired. 2022-12-05 12:40:30,928 : WARN : KNIME-Worker-38-Keras Network Learner 5:27 : : DLKnimeNetworkValidationInputPreparer : Keras Network Learner : 5:27 : The number of rows of the input validation data table (99) is not a multiple of the selected validation batch size (12). Thus, the last batch of each validation phase will continue at the beginning of the validation data table after reaching its end. You can avoid that by adjusting the number of rows of the table or the batch size if desired. 2022-12-05 12:40:32,502 : WARN : Thread-209 : : PythonKernel : Keras Network Learner : 5:27 : C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2022-12-05 12:40:52,489 : ERROR : KNIME-Worker-38-Keras Network Learner 5:27 : : DLKerasLearnerNodeModel : Keras Network Learner : 5:27 : java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset 2022-12-05 12:40:52,489 : ERROR : KNIME-Worker-38-Keras Network Learner 5:27 : : Node : Keras Network Learner : 5:27 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. java.lang.RuntimeException: An error occured during training of the Keras deep learning network. See log for details. at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.handleGeneralException(DLKerasLearnerNodeModel.java:751) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:721) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.execute(DLKerasLearnerNodeModel.java:320) at org.knime.core.node.NodeModel.executeModel(NodeModel.java:549) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1267) at org.knime.core.node.Node.execute(Node.java:1041) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:95) at org.knime.core.node.workflow.NodeExecutionJob.internalRun(NodeExecutionJob.java:201) at org.knime.core.node.workflow.NodeExecutionJob.run(NodeExecutionJob.java:117) at org.knime.core.util.ThreadUtils$RunnableWithContextImpl.runWithContext(ThreadUtils.java:367) at org.knime.core.util.ThreadUtils$RunnableWithContext.run(ThreadUtils.java:221) at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at org.knime.core.util.ThreadPool$MyFuture.run(ThreadPool.java:123) at org.knime.core.util.ThreadPool$Worker.run(ThreadPool.java:246) Caused by: java.io.IOException: java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset at org.knime.dl.python.core.DLPythonAbstractCommands.trainNetwork(DLPythonAbstractCommands.java:555) at org.knime.dl.python.core.training.DLPythonAbstractNetworkTrainingSession.trainInternal(DLPythonAbstractNetworkTrainingSession.java:193) at org.knime.dl.core.training.DLAbstractNetworkTrainingSession.run(DLAbstractNetworkTrainingSession.java:273) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:712) ... 14 more Suppressed: org.knime.dl.core.DLUncheckedException: An exception occured while cleaning up Python. Cause: Failed to clean up Python. See log for details. at org.knime.dl.python.core.DLPythonAbstractContext.close(DLPythonAbstractContext.java:242) at org.knime.dl.python.core.DLPythonAbstractCommands.close(DLPythonAbstractCommands.java:572) at org.knime.dl.python.core.training.DLPythonAbstractNetworkTrainingSession.close(DLPythonAbstractNetworkTrainingSession.java:162) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:717) ... 14 more Caused by: org.knime.python2.kernel.PythonKernelCleanupException: Failed to clean up Python. See log for details. at org.knime.python2.kernel.Python2KernelBackend.synchronousClose(Python2KernelBackend.java:1340) at org.knime.python2.kernel.Python2KernelBackend.close(Python2KernelBackend.java:1301) at org.knime.python2.kernel.PythonKernel.close(PythonKernel.java:544) at org.knime.dl.python.core.DLPythonAbstractContext.close(DLPythonAbstractContext.java:240) ... 17 more Caused by: java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset at org.knime.python2.kernel.messaging.AbstractMessageLoop.throwExceptionInLoop(AbstractMessageLoop.java:76) at org.knime.python2.kernel.messaging.DefaultMessageReceiverLoop.loop(DefaultMessageReceiverLoop.java:98) at org.knime.python2.kernel.messaging.AbstractMessageLoop.doLoop(AbstractMessageLoop.java:175) at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source) at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source) at java.base/java.lang.Thread.run(Unknown Source) Suppressed: java.lang.Exception: Failed to distribute message from Python. Cause: Message receiver loop terminated. at org.knime.python2.kernel.messaging.AbstractMessageLoop.throwExceptionInLoop(AbstractMessageLoop.java:76) at org.knime.python2.kernel.messaging.MessageDistributorLoop.loop(MessageDistributorLoop.java:93) ... 4 more Caused by: java.io.IOException: Message receiver loop terminated. at org.knime.python2.kernel.messaging.DefaultMessageReceiverLoop.receive(DefaultMessageReceiverLoop.java:82) at org.knime.python2.kernel.messaging.MessageDistributorLoop.loop(MessageDistributorLoop.java:82) ... 4 more Suppressed: [CIRCULAR REFERENCE: java.lang.Exception: Failed to distribute message from Python. Cause: Message receiver loop terminated.] Caused by: java.net.SocketException: Connection reset at java.base/sun.nio.ch.NioSocketImpl.implRead(Unknown Source) at java.base/sun.nio.ch.NioSocketImpl.read(Unknown Source) at java.base/sun.nio.ch.NioSocketImpl$1.read(Unknown Source) at java.base/java.net.Socket$SocketInputStream.read(Unknown Source) at java.base/java.io.DataInputStream.readFully(Unknown Source) at java.base/java.io.DataInputStream.readFully(Unknown Source) at org.knime.python2.kernel.messaging.PythonMessagingUtils.readInt(PythonMessagingUtils.java:91) at org.knime.python2.kernel.messaging.DefaultMessageReceiver.receive(DefaultMessageReceiver.java:80) at org.knime.python2.kernel.messaging.DefaultMessageReceiverLoop.loop(DefaultMessageReceiverLoop.java:92) ... 4 more Caused by: [CIRCULAR REFERENCE: java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset] 2022-12-05 12:40:52,490 : WARN : KNIME-Worker-38-Keras Network Learner 5:27 : : Node : Keras Network Executor : 5:29 : No network output was selected. 2022-12-05 12:42:16,239 : WARN : main : : Node : Keras Network Executor : 5:29 : No network output was selected. 2022-12-05 12:44:14,365 : WARN : main : : Node : Rule Engine : 5:23 : Line: 5: Not a column: Output_1/Sigmoid:0_0 $Output_1/Sigmoid:0_0$>= 0.8=>"Passed" ^ 2022-12-05 12:44:15,334 : WARN : main : : Node : Rule Engine : 5:23 : Line: 5: Not a column: Output_1/Sigmoid:0_0 $Output_1/Sigmoid:0_0$>= 0.8=>"Passed" ^ 2022-12-05 12:44:25,435 : WARN : KNIME-Worker-41-Keras Network Learner 5:27 : : DLKnimeNetworkValidationInputPreparer : Keras Network Learner : 5:27 : The number of rows of the input validation data table (99) is not a multiple of the selected validation batch size (10). Thus, the last batch of each validation phase will continue at the beginning of the validation data table after reaching its end. You can avoid that by adjusting the number of rows of the table or the batch size if desired. 2022-12-05 12:44:26,902 : WARN : Thread-241 : : PythonKernel : Keras Network Learner : 5:27 : C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2022-12-05 12:44:49,978 : ERROR : KNIME-Worker-41-Keras Network Learner 5:27 : : DLKerasLearnerNodeModel : Keras Network Learner : 5:27 : java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset 2022-12-05 12:44:49,978 : ERROR : KNIME-Worker-41-Keras Network Learner 5:27 : : Node : Keras Network Learner : 5:27 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. java.lang.RuntimeException: An error occured during training of the Keras deep learning network. See log for details. at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.handleGeneralException(DLKerasLearnerNodeModel.java:751) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:721) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.execute(DLKerasLearnerNodeModel.java:320) at org.knime.core.node.NodeModel.executeModel(NodeModel.java:549) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1267) at org.knime.core.node.Node.execute(Node.java:1041) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:95) at org.knime.core.node.workflow.NodeExecutionJob.internalRun(NodeExecutionJob.java:201) at org.knime.core.node.workflow.NodeExecutionJob.run(NodeExecutionJob.java:117) at org.knime.core.util.ThreadUtils$RunnableWithContextImpl.runWithContext(ThreadUtils.java:367) at org.knime.core.util.ThreadUtils$RunnableWithContext.run(ThreadUtils.java:221) at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at org.knime.core.util.ThreadPool$MyFuture.run(ThreadPool.java:123) at org.knime.core.util.ThreadPool$Worker.run(ThreadPool.java:246) Caused by: java.io.IOException: java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset at org.knime.dl.python.core.DLPythonAbstractCommands.trainNetwork(DLPythonAbstractCommands.java:555) at org.knime.dl.python.core.training.DLPythonAbstractNetworkTrainingSession.trainInternal(DLPythonAbstractNetworkTrainingSession.java:193) at org.knime.dl.core.training.DLAbstractNetworkTrainingSession.run(DLAbstractNetworkTrainingSession.java:273) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:712) ... 14 more Suppressed: org.knime.dl.core.DLUncheckedException: An exception occured while cleaning up Python. Cause: Failed to clean up Python. See log for details. at org.knime.dl.python.core.DLPythonAbstractContext.close(DLPythonAbstractContext.java:242) at org.knime.dl.python.core.DLPythonAbstractCommands.close(DLPythonAbstractCommands.java:572) at org.knime.dl.python.core.training.DLPythonAbstractNetworkTrainingSession.close(DLPythonAbstractNetworkTrainingSession.java:162) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:717) ... 14 more Caused by: org.knime.python2.kernel.PythonKernelCleanupException: Failed to clean up Python. See log for details. at org.knime.python2.kernel.Python2KernelBackend.synchronousClose(Python2KernelBackend.java:1340) at org.knime.python2.kernel.Python2KernelBackend.close(Python2KernelBackend.java:1301) at org.knime.python2.kernel.PythonKernel.close(PythonKernel.java:544) at org.knime.dl.python.core.DLPythonAbstractContext.close(DLPythonAbstractContext.java:240) ... 17 more Caused by: java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset at org.knime.python2.kernel.messaging.AbstractMessageLoop.throwExceptionInLoop(AbstractMessageLoop.java:76) at org.knime.python2.kernel.messaging.DefaultMessageReceiverLoop.loop(DefaultMessageReceiverLoop.java:98) at org.knime.python2.kernel.messaging.AbstractMessageLoop.doLoop(AbstractMessageLoop.java:175) at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source) at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source) at java.base/java.lang.Thread.run(Unknown Source) Suppressed: java.lang.Exception: Failed to distribute message from Python. Cause: Message receiver loop terminated. at org.knime.python2.kernel.messaging.AbstractMessageLoop.throwExceptionInLoop(AbstractMessageLoop.java:76) at org.knime.python2.kernel.messaging.MessageDistributorLoop.loop(MessageDistributorLoop.java:93) ... 4 more Caused by: java.io.IOException: Message receiver loop terminated. at org.knime.python2.kernel.messaging.DefaultMessageReceiverLoop.receive(DefaultMessageReceiverLoop.java:82) at org.knime.python2.kernel.messaging.MessageDistributorLoop.loop(MessageDistributorLoop.java:82) ... 4 more Suppressed: [CIRCULAR REFERENCE: java.lang.Exception: Failed to distribute message from Python. Cause: Message receiver loop terminated.] Caused by: java.net.SocketException: Connection reset at java.base/sun.nio.ch.NioSocketImpl.implRead(Unknown Source) at java.base/sun.nio.ch.NioSocketImpl.read(Unknown Source) at java.base/sun.nio.ch.NioSocketImpl$1.read(Unknown Source) at java.base/java.net.Socket$SocketInputStream.read(Unknown Source) at java.base/java.io.DataInputStream.readFully(Unknown Source) at java.base/java.io.DataInputStream.readFully(Unknown Source) at org.knime.python2.kernel.messaging.PythonMessagingUtils.readInt(PythonMessagingUtils.java:91) at org.knime.python2.kernel.messaging.DefaultMessageReceiver.receive(DefaultMessageReceiver.java:80) at org.knime.python2.kernel.messaging.DefaultMessageReceiverLoop.loop(DefaultMessageReceiverLoop.java:92) ... 4 more Caused by: [CIRCULAR REFERENCE: java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset] 2022-12-05 12:45:39,278 : WARN : main : : Node : Rule Engine : 5:23 : Line: 5: Not a column: Output_1/Sigmoid:0_0 $Output_1/Sigmoid:0_0$>= 0.8=>"Passed" ^ 2022-12-05 12:45:39,854 : WARN : main : : Node : Rule Engine : 5:23 : Line: 5: Not a column: Output_1/Sigmoid:0_0 $Output_1/Sigmoid:0_0$>= 0.8=>"Passed" ^ 2022-12-05 12:45:48,449 : WARN : KNIME-Worker-44-Keras Network Learner 5:27 : : DLKnimeNetworkValidationInputPreparer : Keras Network Learner : 5:27 : The number of rows of the input validation data table (99) is not a multiple of the selected validation batch size (10). Thus, the last batch of each validation phase will continue at the beginning of the validation data table after reaching its end. You can avoid that by adjusting the number of rows of the table or the batch size if desired. 2022-12-05 12:45:49,624 : WARN : Thread-274 : : PythonKernel : Keras Network Learner : 5:27 : C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2022-12-05 12:46:21,833 : ERROR : KNIME-Worker-44-Keras Network Learner 5:27 : : DLKerasLearnerNodeModel : Keras Network Learner : 5:27 : java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset 2022-12-05 12:46:21,833 : ERROR : KNIME-Worker-44-Keras Network Learner 5:27 : : Node : Keras Network Learner : 5:27 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. java.lang.RuntimeException: An error occured during training of the Keras deep learning network. See log for details. at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.handleGeneralException(DLKerasLearnerNodeModel.java:751) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:721) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.execute(DLKerasLearnerNodeModel.java:320) at org.knime.core.node.NodeModel.executeModel(NodeModel.java:549) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1267) at org.knime.core.node.Node.execute(Node.java:1041) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:95) at org.knime.core.node.workflow.NodeExecutionJob.internalRun(NodeExecutionJob.java:201) at org.knime.core.node.workflow.NodeExecutionJob.run(NodeExecutionJob.java:117) at org.knime.core.util.ThreadUtils$RunnableWithContextImpl.runWithContext(ThreadUtils.java:367) at org.knime.core.util.ThreadUtils$RunnableWithContext.run(ThreadUtils.java:221) at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at org.knime.core.util.ThreadPool$MyFuture.run(ThreadPool.java:123) at org.knime.core.util.ThreadPool$Worker.run(ThreadPool.java:246) Caused by: java.io.IOException: java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset at org.knime.dl.python.core.DLPythonAbstractCommands.trainNetwork(DLPythonAbstractCommands.java:555) at org.knime.dl.python.core.training.DLPythonAbstractNetworkTrainingSession.trainInternal(DLPythonAbstractNetworkTrainingSession.java:193) at org.knime.dl.core.training.DLAbstractNetworkTrainingSession.run(DLAbstractNetworkTrainingSession.java:273) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:712) ... 14 more Suppressed: org.knime.dl.core.DLUncheckedException: An exception occured while cleaning up Python. Cause: Failed to clean up Python. See log for details. at org.knime.dl.python.core.DLPythonAbstractContext.close(DLPythonAbstractContext.java:242) at org.knime.dl.python.core.DLPythonAbstractCommands.close(DLPythonAbstractCommands.java:572) at org.knime.dl.python.core.training.DLPythonAbstractNetworkTrainingSession.close(DLPythonAbstractNetworkTrainingSession.java:162) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:717) ... 14 more Caused by: org.knime.python2.kernel.PythonKernelCleanupException: Failed to clean up Python. See log for details. at org.knime.python2.kernel.Python2KernelBackend.synchronousClose(Python2KernelBackend.java:1340) at org.knime.python2.kernel.Python2KernelBackend.close(Python2KernelBackend.java:1301) at org.knime.python2.kernel.PythonKernel.close(PythonKernel.java:544) at org.knime.dl.python.core.DLPythonAbstractContext.close(DLPythonAbstractContext.java:240) ... 17 more Caused by: java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset at org.knime.python2.kernel.messaging.AbstractMessageLoop.throwExceptionInLoop(AbstractMessageLoop.java:76) at org.knime.python2.kernel.messaging.DefaultMessageReceiverLoop.loop(DefaultMessageReceiverLoop.java:98) at org.knime.python2.kernel.messaging.AbstractMessageLoop.doLoop(AbstractMessageLoop.java:175) at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source) at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source) at java.base/java.lang.Thread.run(Unknown Source) Suppressed: java.lang.Exception: Failed to distribute message from Python. Cause: Message receiver loop terminated. at org.knime.python2.kernel.messaging.AbstractMessageLoop.throwExceptionInLoop(AbstractMessageLoop.java:76) at org.knime.python2.kernel.messaging.MessageDistributorLoop.loop(MessageDistributorLoop.java:93) ... 4 more Caused by: java.io.IOException: Message receiver loop terminated. at org.knime.python2.kernel.messaging.DefaultMessageReceiverLoop.receive(DefaultMessageReceiverLoop.java:82) at org.knime.python2.kernel.messaging.MessageDistributorLoop.loop(MessageDistributorLoop.java:82) ... 4 more Suppressed: [CIRCULAR REFERENCE: java.lang.Exception: Failed to distribute message from Python. Cause: Message receiver loop terminated.] Caused by: java.net.SocketException: Connection reset at java.base/sun.nio.ch.NioSocketImpl.implRead(Unknown Source) at java.base/sun.nio.ch.NioSocketImpl.read(Unknown Source) at java.base/sun.nio.ch.NioSocketImpl$1.read(Unknown Source) at java.base/java.net.Socket$SocketInputStream.read(Unknown Source) at java.base/java.io.DataInputStream.readFully(Unknown Source) at java.base/java.io.DataInputStream.readFully(Unknown Source) at org.knime.python2.kernel.messaging.PythonMessagingUtils.readInt(PythonMessagingUtils.java:91) at org.knime.python2.kernel.messaging.DefaultMessageReceiver.receive(DefaultMessageReceiver.java:80) at org.knime.python2.kernel.messaging.DefaultMessageReceiverLoop.loop(DefaultMessageReceiverLoop.java:92) ... 4 more Caused by: [CIRCULAR REFERENCE: java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset] 2022-12-05 12:48:03,646 : WARN : main : : Node : Rule Engine : 5:23 : Line: 5: Not a column: Output_1/Sigmoid:0_0 $Output_1/Sigmoid:0_0$>= 0.8=>"Passed" ^ 2022-12-05 12:48:05,136 : WARN : main : : Node : Rule Engine : 5:23 : Line: 5: Not a column: Output_1/Sigmoid:0_0 $Output_1/Sigmoid:0_0$>= 0.8=>"Passed" ^ 2022-12-05 12:54:04,701 : WARN : main : : Node : Rule Engine : 5:23 : Line: 5: Not a column: Output_1/Sigmoid:0_0 $Output_1/Sigmoid:0_0$>= 0.8=>"Passed" ^ 2022-12-05 12:55:57,476 : WARN : main : : Node : Rule Engine : 5:23 : Line: 5: Not a column: Output_1/Sigmoid:0_0 $Output_1/Sigmoid:0_0$>= 0.8=>"Passed" ^ 2022-12-05 12:55:58,732 : WARN : main : : Node : Rule Engine : 5:23 : Line: 5: Not a column: Output_1/Sigmoid:0_0 $Output_1/Sigmoid:0_0$>= 0.8=>"Passed" ^ 2022-12-05 12:56:13,211 : WARN : KNIME-Worker-48-Keras Network Learner 5:27 : : DLKnimeNetworkValidationInputPreparer : Keras Network Learner : 5:27 : The number of rows of the input validation data table (99) is not a multiple of the selected validation batch size (10). Thus, the last batch of each validation phase will continue at the beginning of the validation data table after reaching its end. You can avoid that by adjusting the number of rows of the table or the batch size if desired. 2022-12-05 12:56:14,781 : WARN : Thread-316 : : PythonKernel : Keras Network Learner : 5:27 : C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2022-12-05 12:56:32,396 : ERROR : KNIME-Worker-48-Keras Network Learner 5:27 : : DLKerasLearnerNodeModel : Keras Network Learner : 5:27 : java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset 2022-12-05 12:56:32,396 : ERROR : KNIME-Worker-48-Keras Network Learner 5:27 : : Node : Keras Network Learner : 5:27 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. java.lang.RuntimeException: An error occured during training of the Keras deep learning network. See log for details. at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.handleGeneralException(DLKerasLearnerNodeModel.java:751) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:721) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.execute(DLKerasLearnerNodeModel.java:320) at org.knime.core.node.NodeModel.executeModel(NodeModel.java:549) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1267) at org.knime.core.node.Node.execute(Node.java:1041) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:95) at org.knime.core.node.workflow.NodeExecutionJob.internalRun(NodeExecutionJob.java:201) at org.knime.core.node.workflow.NodeExecutionJob.run(NodeExecutionJob.java:117) at org.knime.core.util.ThreadUtils$RunnableWithContextImpl.runWithContext(ThreadUtils.java:367) at org.knime.core.util.ThreadUtils$RunnableWithContext.run(ThreadUtils.java:221) at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at org.knime.core.util.ThreadPool$MyFuture.run(ThreadPool.java:123) at org.knime.core.util.ThreadPool$Worker.run(ThreadPool.java:246) Caused by: java.io.IOException: java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset at org.knime.dl.python.core.DLPythonAbstractCommands.trainNetwork(DLPythonAbstractCommands.java:555) at org.knime.dl.python.core.training.DLPythonAbstractNetworkTrainingSession.trainInternal(DLPythonAbstractNetworkTrainingSession.java:193) at org.knime.dl.core.training.DLAbstractNetworkTrainingSession.run(DLAbstractNetworkTrainingSession.java:273) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:712) ... 14 more Suppressed: org.knime.dl.core.DLUncheckedException: An exception occured while cleaning up Python. Cause: Failed to clean up Python. See log for details. at org.knime.dl.python.core.DLPythonAbstractContext.close(DLPythonAbstractContext.java:242) at org.knime.dl.python.core.DLPythonAbstractCommands.close(DLPythonAbstractCommands.java:572) at org.knime.dl.python.core.training.DLPythonAbstractNetworkTrainingSession.close(DLPythonAbstractNetworkTrainingSession.java:162) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:717) ... 14 more Caused by: org.knime.python2.kernel.PythonKernelCleanupException: Failed to clean up Python. See log for details. at org.knime.python2.kernel.Python2KernelBackend.synchronousClose(Python2KernelBackend.java:1340) at org.knime.python2.kernel.Python2KernelBackend.close(Python2KernelBackend.java:1301) at org.knime.python2.kernel.PythonKernel.close(PythonKernel.java:544) at org.knime.dl.python.core.DLPythonAbstractContext.close(DLPythonAbstractContext.java:240) ... 17 more Caused by: java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset at org.knime.python2.kernel.messaging.AbstractMessageLoop.throwExceptionInLoop(AbstractMessageLoop.java:76) at org.knime.python2.kernel.messaging.DefaultMessageReceiverLoop.loop(DefaultMessageReceiverLoop.java:98) at org.knime.python2.kernel.messaging.AbstractMessageLoop.doLoop(AbstractMessageLoop.java:175) at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source) at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source) at java.base/java.lang.Thread.run(Unknown Source) Suppressed: java.lang.Exception: Failed to distribute message from Python. Cause: Message receiver loop terminated. at org.knime.python2.kernel.messaging.AbstractMessageLoop.throwExceptionInLoop(AbstractMessageLoop.java:76) at org.knime.python2.kernel.messaging.MessageDistributorLoop.loop(MessageDistributorLoop.java:93) ... 4 more Caused by: java.io.IOException: Message receiver loop terminated. at org.knime.python2.kernel.messaging.DefaultMessageReceiverLoop.receive(DefaultMessageReceiverLoop.java:82) at org.knime.python2.kernel.messaging.MessageDistributorLoop.loop(MessageDistributorLoop.java:82) ... 4 more Suppressed: [CIRCULAR REFERENCE: java.lang.Exception: Failed to distribute message from Python. Cause: Message receiver loop terminated.] Caused by: java.net.SocketException: Connection reset at java.base/sun.nio.ch.NioSocketImpl.implRead(Unknown Source) at java.base/sun.nio.ch.NioSocketImpl.read(Unknown Source) at java.base/sun.nio.ch.NioSocketImpl$1.read(Unknown Source) at java.base/java.net.Socket$SocketInputStream.read(Unknown Source) at java.base/java.io.DataInputStream.readFully(Unknown Source) at java.base/java.io.DataInputStream.readFully(Unknown Source) at org.knime.python2.kernel.messaging.PythonMessagingUtils.readInt(PythonMessagingUtils.java:91) at org.knime.python2.kernel.messaging.DefaultMessageReceiver.receive(DefaultMessageReceiver.java:80) at org.knime.python2.kernel.messaging.DefaultMessageReceiverLoop.loop(DefaultMessageReceiverLoop.java:92) ... 4 more Caused by: [CIRCULAR REFERENCE: java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset] 2022-12-05 12:56:51,454 : WARN : main : : Node : Rule Engine : 5:23 : Line: 5: Not a column: Output_1/Sigmoid:0_0 $Output_1/Sigmoid:0_0$>= 0.8=>"Passed" ^ 2022-12-05 12:57:20,379 : WARN : KNIME-Worker-50-Keras Network Learner 5:27 : : DLKnimeNetworkValidationInputPreparer : Keras Network Learner : 5:27 : The number of rows of the input validation data table (99) is not a multiple of the selected validation batch size (10). Thus, the last batch of each validation phase will continue at the beginning of the validation data table after reaching its end. You can avoid that by adjusting the number of rows of the table or the batch size if desired. 2022-12-05 12:57:21,943 : WARN : Thread-324 : : PythonKernel : Keras Network Learner : 5:27 : C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2022-12-05 12:57:40,487 : ERROR : KNIME-Worker-50-Keras Network Learner 5:27 : : DLKerasLearnerNodeModel : Keras Network Learner : 5:27 : java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset 2022-12-05 12:57:40,487 : ERROR : KNIME-Worker-50-Keras Network Learner 5:27 : : Node : Keras Network Learner : 5:27 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. java.lang.RuntimeException: An error occured during training of the Keras deep learning network. See log for details. at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.handleGeneralException(DLKerasLearnerNodeModel.java:751) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:721) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.execute(DLKerasLearnerNodeModel.java:320) at org.knime.core.node.NodeModel.executeModel(NodeModel.java:549) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1267) at org.knime.core.node.Node.execute(Node.java:1041) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:95) at org.knime.core.node.workflow.NodeExecutionJob.internalRun(NodeExecutionJob.java:201) at org.knime.core.node.workflow.NodeExecutionJob.run(NodeExecutionJob.java:117) at org.knime.core.util.ThreadUtils$RunnableWithContextImpl.runWithContext(ThreadUtils.java:367) at org.knime.core.util.ThreadUtils$RunnableWithContext.run(ThreadUtils.java:221) at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at org.knime.core.util.ThreadPool$MyFuture.run(ThreadPool.java:123) at org.knime.core.util.ThreadPool$Worker.run(ThreadPool.java:246) Caused by: java.io.IOException: java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset at org.knime.dl.python.core.DLPythonAbstractCommands.trainNetwork(DLPythonAbstractCommands.java:555) at org.knime.dl.python.core.training.DLPythonAbstractNetworkTrainingSession.trainInternal(DLPythonAbstractNetworkTrainingSession.java:193) at org.knime.dl.core.training.DLAbstractNetworkTrainingSession.run(DLAbstractNetworkTrainingSession.java:273) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:712) ... 14 more Suppressed: org.knime.dl.core.DLUncheckedException: An exception occured while cleaning up Python. Cause: Failed to clean up Python. See log for details. at org.knime.dl.python.core.DLPythonAbstractContext.close(DLPythonAbstractContext.java:242) at org.knime.dl.python.core.DLPythonAbstractCommands.close(DLPythonAbstractCommands.java:572) at org.knime.dl.python.core.training.DLPythonAbstractNetworkTrainingSession.close(DLPythonAbstractNetworkTrainingSession.java:162) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:717) ... 14 more Caused by: org.knime.python2.kernel.PythonKernelCleanupException: Failed to clean up Python. See log for details. at org.knime.python2.kernel.Python2KernelBackend.synchronousClose(Python2KernelBackend.java:1340) at org.knime.python2.kernel.Python2KernelBackend.close(Python2KernelBackend.java:1301) at org.knime.python2.kernel.PythonKernel.close(PythonKernel.java:544) at org.knime.dl.python.core.DLPythonAbstractContext.close(DLPythonAbstractContext.java:240) ... 17 more Caused by: java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset at org.knime.python2.kernel.messaging.AbstractMessageLoop.throwExceptionInLoop(AbstractMessageLoop.java:76) at org.knime.python2.kernel.messaging.DefaultMessageReceiverLoop.loop(DefaultMessageReceiverLoop.java:98) at org.knime.python2.kernel.messaging.AbstractMessageLoop.doLoop(AbstractMessageLoop.java:175) at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source) at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source) at java.base/java.lang.Thread.run(Unknown Source) Suppressed: java.lang.Exception: Failed to distribute message from Python. Cause: Message receiver loop terminated. at org.knime.python2.kernel.messaging.AbstractMessageLoop.throwExceptionInLoop(AbstractMessageLoop.java:76) at org.knime.python2.kernel.messaging.MessageDistributorLoop.loop(MessageDistributorLoop.java:93) ... 4 more Caused by: java.io.IOException: Message receiver loop terminated. at org.knime.python2.kernel.messaging.DefaultMessageReceiverLoop.receive(DefaultMessageReceiverLoop.java:82) at org.knime.python2.kernel.messaging.MessageDistributorLoop.loop(MessageDistributorLoop.java:82) ... 4 more Suppressed: [CIRCULAR REFERENCE: java.lang.Exception: Failed to distribute message from Python. Cause: Message receiver loop terminated.] Caused by: java.net.SocketException: Connection reset at java.base/sun.nio.ch.NioSocketImpl.implRead(Unknown Source) at java.base/sun.nio.ch.NioSocketImpl.read(Unknown Source) at java.base/sun.nio.ch.NioSocketImpl$1.read(Unknown Source) at java.base/java.net.Socket$SocketInputStream.read(Unknown Source) at java.base/java.io.DataInputStream.readFully(Unknown Source) at java.base/java.io.DataInputStream.readFully(Unknown Source) at org.knime.python2.kernel.messaging.PythonMessagingUtils.readInt(PythonMessagingUtils.java:91) at org.knime.python2.kernel.messaging.DefaultMessageReceiver.receive(DefaultMessageReceiver.java:80) at org.knime.python2.kernel.messaging.DefaultMessageReceiverLoop.loop(DefaultMessageReceiverLoop.java:92) ... 4 more Caused by: [CIRCULAR REFERENCE: java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset] 2022-12-05 13:14:32,670 : WARN : ModalContext : : Node : Rule Engine : 3:23 : Line: 5: Not a column: Output_1/Sigmoid:0_0 $Output_1/Sigmoid:0_0$>= 0.8=>"Passed" ^ 2022-12-05 13:15:05,773 : WARN : main : : Node : Rule Engine : 3:23 : Line: 5: Not a column: Output_1/Sigmoid:0_0 $Output_1/Sigmoid:0_0$>= 0.8=>"Passed" ^ 2022-12-05 13:15:06,509 : WARN : main : : Node : Rule Engine : 3:23 : Line: 5: Not a column: Output_1/Sigmoid:0_0 $Output_1/Sigmoid:0_0$>= 0.8=>"Passed" ^ 2022-12-05 13:15:17,060 : WARN : main : : WrappedNodeDialog : Rule Engine : 3:23 : failed to apply settings: line 5, col 0: Not a column: Output_1/Sigmoid:0_0 org.knime.core.node.InvalidSettingsException: line 5, col 0: Not a column: Output_1/Sigmoid:0_0 at org.knime.base.node.rules.engine.RulePanel.saveSettings(RulePanel.java:571) at org.knime.base.node.rules.engine.RuleEngineNodeDialog.saveSettingsTo(RuleEngineNodeDialog.java:114) at org.knime.core.node.NodeDialogPane.internalSaveSettingsTo(NodeDialogPane.java:540) at org.knime.core.node.NodeDialogPane$4.run(NodeDialogPane.java:779) at org.knime.core.node.util.ViewUtils$3.run(ViewUtils.java:353) at org.knime.core.node.util.ViewUtils$2.run(ViewUtils.java:155) at java.desktop/java.awt.event.InvocationEvent.dispatch(Unknown Source) at java.desktop/java.awt.EventQueue.dispatchEventImpl(Unknown Source) at java.desktop/java.awt.EventQueue$4.run(Unknown Source) at java.desktop/java.awt.EventQueue$4.run(Unknown Source) at java.base/java.security.AccessController.doPrivileged(Unknown Source) at java.base/java.security.ProtectionDomain$JavaSecurityAccessImpl.doIntersectionPrivilege(Unknown Source) at java.desktop/java.awt.EventQueue.dispatchEvent(Unknown Source) at java.desktop/java.awt.EventDispatchThread.pumpOneEventForFilters(Unknown Source) at java.desktop/java.awt.EventDispatchThread.pumpEventsForFilter(Unknown Source) at java.desktop/java.awt.EventDispatchThread.pumpEventsForHierarchy(Unknown Source) at java.desktop/java.awt.EventDispatchThread.pumpEvents(Unknown Source) at java.desktop/java.awt.EventDispatchThread.pumpEvents(Unknown Source) at java.desktop/java.awt.EventDispatchThread.run(Unknown Source) Caused by: java.text.ParseException: line 5, col 0: Not a column: Output_1/Sigmoid:0_0 at org.knime.base.node.rules.engine.BaseRuleParser.parseColumnExpression(BaseRuleParser.java:1121) at org.knime.base.node.rules.engine.BaseRuleParser.parseReference(BaseRuleParser.java:812) at org.knime.base.node.rules.engine.BaseRuleParser.parseOperand(BaseRuleParser.java:1025) at org.knime.base.node.rules.engine.BaseRuleParser.parseRelation(BaseRuleParser.java:837) at org.knime.base.node.rules.engine.BaseRuleParser.parseRootBooleanExpression(BaseRuleParser.java:757) at org.knime.base.node.rules.engine.BaseRuleParser.parseAndExpression(BaseRuleParser.java:712) at org.knime.base.node.rules.engine.BaseRuleParser.parseXorExpression(BaseRuleParser.java:689) at org.knime.base.node.rules.engine.BaseRuleParser.parseOrExpression(BaseRuleParser.java:666) at org.knime.base.node.rules.engine.BaseRuleParser.parseBooleanExpression(BaseRuleParser.java:654) at org.knime.base.node.rules.engine.SimpleRuleParser.parseCondition(SimpleRuleParser.java:278) at org.knime.base.node.rules.engine.SimpleRuleParser.parse(SimpleRuleParser.java:230) at org.knime.base.node.rules.engine.RuleFactory.parse(RuleFactory.java:191) at org.knime.base.node.rules.engine.RulePanel.computeRules(RulePanel.java:468) at org.knime.base.node.rules.engine.RulePanel.computeRules(RulePanel.java:496) at org.knime.base.node.rules.engine.RulePanel.computeRules(RulePanel.java:507) at org.knime.base.node.rules.engine.RulePanel.saveSettings(RulePanel.java:569) ... 18 more 2022-12-05 13:15:19,687 : WARN : main : : WrappedNodeDialog : Rule Engine : 3:23 : failed to apply settings: line 5, col 0: Not a column: Output_1/Sigmoid:0_0 org.knime.core.node.InvalidSettingsException: line 5, col 0: Not a column: Output_1/Sigmoid:0_0 at org.knime.base.node.rules.engine.RulePanel.saveSettings(RulePanel.java:571) at org.knime.base.node.rules.engine.RuleEngineNodeDialog.saveSettingsTo(RuleEngineNodeDialog.java:114) at org.knime.core.node.NodeDialogPane.internalSaveSettingsTo(NodeDialogPane.java:540) at org.knime.core.node.NodeDialogPane$4.run(NodeDialogPane.java:779) at org.knime.core.node.util.ViewUtils$3.run(ViewUtils.java:353) at org.knime.core.node.util.ViewUtils$2.run(ViewUtils.java:155) at java.desktop/java.awt.event.InvocationEvent.dispatch(Unknown Source) at java.desktop/java.awt.EventQueue.dispatchEventImpl(Unknown Source) at java.desktop/java.awt.EventQueue$4.run(Unknown Source) at java.desktop/java.awt.EventQueue$4.run(Unknown Source) at java.base/java.security.AccessController.doPrivileged(Unknown Source) at java.base/java.security.ProtectionDomain$JavaSecurityAccessImpl.doIntersectionPrivilege(Unknown Source) at java.desktop/java.awt.EventQueue.dispatchEvent(Unknown Source) at java.desktop/java.awt.EventDispatchThread.pumpOneEventForFilters(Unknown Source) at java.desktop/java.awt.EventDispatchThread.pumpEventsForFilter(Unknown Source) at java.desktop/java.awt.EventDispatchThread.pumpEventsForHierarchy(Unknown Source) at java.desktop/java.awt.EventDispatchThread.pumpEvents(Unknown Source) at java.desktop/java.awt.EventDispatchThread.pumpEvents(Unknown Source) at java.desktop/java.awt.EventDispatchThread.run(Unknown Source) Caused by: java.text.ParseException: line 5, col 0: Not a column: Output_1/Sigmoid:0_0 at org.knime.base.node.rules.engine.BaseRuleParser.parseColumnExpression(BaseRuleParser.java:1121) at org.knime.base.node.rules.engine.BaseRuleParser.parseReference(BaseRuleParser.java:812) at org.knime.base.node.rules.engine.BaseRuleParser.parseOperand(BaseRuleParser.java:1025) at org.knime.base.node.rules.engine.BaseRuleParser.parseRelation(BaseRuleParser.java:837) at org.knime.base.node.rules.engine.BaseRuleParser.parseRootBooleanExpression(BaseRuleParser.java:757) at org.knime.base.node.rules.engine.BaseRuleParser.parseAndExpression(BaseRuleParser.java:712) at org.knime.base.node.rules.engine.BaseRuleParser.parseXorExpression(BaseRuleParser.java:689) at org.knime.base.node.rules.engine.BaseRuleParser.parseOrExpression(BaseRuleParser.java:666) at org.knime.base.node.rules.engine.BaseRuleParser.parseBooleanExpression(BaseRuleParser.java:654) at org.knime.base.node.rules.engine.SimpleRuleParser.parseCondition(SimpleRuleParser.java:278) at org.knime.base.node.rules.engine.SimpleRuleParser.parse(SimpleRuleParser.java:230) at org.knime.base.node.rules.engine.RuleFactory.parse(RuleFactory.java:191) at org.knime.base.node.rules.engine.RulePanel.computeRules(RulePanel.java:468) at org.knime.base.node.rules.engine.RulePanel.computeRules(RulePanel.java:496) at org.knime.base.node.rules.engine.RulePanel.computeRules(RulePanel.java:507) at org.knime.base.node.rules.engine.RulePanel.saveSettings(RulePanel.java:569) ... 18 more 2022-12-05 13:15:26,626 : WARN : main : : Node : Rule Engine : 3:23 : Line: 5: Not a column: Output_1/Sigmoid:0_0 $Output_1/Sigmoid:0_0$>= 0.8=>"Passed" ^ 2022-12-05 13:15:27,121 : WARN : main : : Node : Rule Engine : 3:23 : Line: 5: Not a column: Output_1/Sigmoid:0_0 $Output_1/Sigmoid:0_0$>= 0.8=>"Passed" ^ 2022-12-05 13:16:53,529 : WARN : KNIME-Worker-8-Keras Network Learner 3:27 : : DLKnimeNetworkValidationInputPreparer : Keras Network Learner : 3:27 : The number of rows of the input validation data table (99) is not a multiple of the selected validation batch size (10). Thus, the last batch of each validation phase will continue at the beginning of the validation data table after reaching its end. You can avoid that by adjusting the number of rows of the table or the batch size if desired. 2022-12-05 13:16:54,556 : WARN : Thread-32 : : PythonKernel : Keras Network Learner : 3:27 : C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2022-12-05 13:17:19,336 : ERROR : KNIME-Worker-8-Keras Network Learner 3:27 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:27 : java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset 2022-12-05 13:17:19,337 : ERROR : KNIME-Worker-8-Keras Network Learner 3:27 : : Node : Keras Network Learner : 3:27 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. java.lang.RuntimeException: An error occured during training of the Keras deep learning network. See log for details. at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.handleGeneralException(DLKerasLearnerNodeModel.java:751) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:721) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.execute(DLKerasLearnerNodeModel.java:320) at org.knime.core.node.NodeModel.executeModel(NodeModel.java:549) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1267) at org.knime.core.node.Node.execute(Node.java:1041) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:95) at org.knime.core.node.workflow.NodeExecutionJob.internalRun(NodeExecutionJob.java:201) at org.knime.core.node.workflow.NodeExecutionJob.run(NodeExecutionJob.java:117) at org.knime.core.util.ThreadUtils$RunnableWithContextImpl.runWithContext(ThreadUtils.java:367) at org.knime.core.util.ThreadUtils$RunnableWithContext.run(ThreadUtils.java:221) at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at org.knime.core.util.ThreadPool$MyFuture.run(ThreadPool.java:123) at org.knime.core.util.ThreadPool$Worker.run(ThreadPool.java:246) Caused by: java.io.IOException: java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset at org.knime.dl.python.core.DLPythonAbstractCommands.trainNetwork(DLPythonAbstractCommands.java:555) at org.knime.dl.python.core.training.DLPythonAbstractNetworkTrainingSession.trainInternal(DLPythonAbstractNetworkTrainingSession.java:193) at org.knime.dl.core.training.DLAbstractNetworkTrainingSession.run(DLAbstractNetworkTrainingSession.java:273) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:712) ... 14 more Suppressed: org.knime.dl.core.DLUncheckedException: An exception occured while cleaning up Python. Cause: Failed to clean up Python. See log for details. at org.knime.dl.python.core.DLPythonAbstractContext.close(DLPythonAbstractContext.java:242) at org.knime.dl.python.core.DLPythonAbstractCommands.close(DLPythonAbstractCommands.java:572) at org.knime.dl.python.core.training.DLPythonAbstractNetworkTrainingSession.close(DLPythonAbstractNetworkTrainingSession.java:162) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:717) ... 14 more Caused by: org.knime.python2.kernel.PythonKernelCleanupException: Failed to clean up Python. See log for details. at org.knime.python2.kernel.Python2KernelBackend.synchronousClose(Python2KernelBackend.java:1340) at org.knime.python2.kernel.Python2KernelBackend.close(Python2KernelBackend.java:1301) at org.knime.python2.kernel.PythonKernel.close(PythonKernel.java:544) at org.knime.dl.python.core.DLPythonAbstractContext.close(DLPythonAbstractContext.java:240) ... 17 more Caused by: java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset at org.knime.python2.kernel.messaging.AbstractMessageLoop.throwExceptionInLoop(AbstractMessageLoop.java:76) at org.knime.python2.kernel.messaging.DefaultMessageReceiverLoop.loop(DefaultMessageReceiverLoop.java:98) at org.knime.python2.kernel.messaging.AbstractMessageLoop.doLoop(AbstractMessageLoop.java:175) at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source) at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source) at java.base/java.lang.Thread.run(Unknown Source) Suppressed: java.lang.Exception: Failed to distribute message from Python. Cause: Message receiver loop terminated. at org.knime.python2.kernel.messaging.AbstractMessageLoop.throwExceptionInLoop(AbstractMessageLoop.java:76) at org.knime.python2.kernel.messaging.MessageDistributorLoop.loop(MessageDistributorLoop.java:93) ... 4 more Caused by: java.io.IOException: Message receiver loop terminated. at org.knime.python2.kernel.messaging.DefaultMessageReceiverLoop.receive(DefaultMessageReceiverLoop.java:82) at org.knime.python2.kernel.messaging.MessageDistributorLoop.loop(MessageDistributorLoop.java:82) ... 4 more Suppressed: [CIRCULAR REFERENCE: java.lang.Exception: Failed to distribute message from Python. Cause: Message receiver loop terminated.] Caused by: java.net.SocketException: Connection reset at java.base/sun.nio.ch.NioSocketImpl.implRead(Unknown Source) at java.base/sun.nio.ch.NioSocketImpl.read(Unknown Source) at java.base/sun.nio.ch.NioSocketImpl$1.read(Unknown Source) at java.base/java.net.Socket$SocketInputStream.read(Unknown Source) at java.base/java.io.DataInputStream.readFully(Unknown Source) at java.base/java.io.DataInputStream.readFully(Unknown Source) at org.knime.python2.kernel.messaging.PythonMessagingUtils.readInt(PythonMessagingUtils.java:91) at org.knime.python2.kernel.messaging.DefaultMessageReceiver.receive(DefaultMessageReceiver.java:80) at org.knime.python2.kernel.messaging.DefaultMessageReceiverLoop.loop(DefaultMessageReceiverLoop.java:92) ... 4 more Caused by: [CIRCULAR REFERENCE: java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset] 2022-12-05 13:18:34,528 : WARN : KNIME-Worker-11-Keras Network Learner 3:27 : : DLKnimeNetworkValidationInputPreparer : Keras Network Learner : 3:27 : The number of rows of the input validation data table (99) is not a multiple of the selected validation batch size (10). Thus, the last batch of each validation phase will continue at the beginning of the validation data table after reaching its end. You can avoid that by adjusting the number of rows of the table or the batch size if desired. 2022-12-05 13:18:36,018 : WARN : Thread-38 : : PythonKernel : Keras Network Learner : 3:27 : C:\Users\user\anaconda3\envs\py3_knime_dl\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2022-12-05 13:19:02,791 : ERROR : KNIME-Worker-11-Keras Network Learner 3:27 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:27 : java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset 2022-12-05 13:19:02,791 : ERROR : KNIME-Worker-11-Keras Network Learner 3:27 : : Node : Keras Network Learner : 3:27 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. java.lang.RuntimeException: An error occured during training of the Keras deep learning network. See log for details. at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.handleGeneralException(DLKerasLearnerNodeModel.java:751) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:721) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.execute(DLKerasLearnerNodeModel.java:320) at org.knime.core.node.NodeModel.executeModel(NodeModel.java:549) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1267) at org.knime.core.node.Node.execute(Node.java:1041) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:95) at org.knime.core.node.workflow.NodeExecutionJob.internalRun(NodeExecutionJob.java:201) at org.knime.core.node.workflow.NodeExecutionJob.run(NodeExecutionJob.java:117) at org.knime.core.util.ThreadUtils$RunnableWithContextImpl.runWithContext(ThreadUtils.java:367) at org.knime.core.util.ThreadUtils$RunnableWithContext.run(ThreadUtils.java:221) at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source) at java.base/java.util.concurrent.FutureTask.run(Unknown Source) at org.knime.core.util.ThreadPool$MyFuture.run(ThreadPool.java:123) at org.knime.core.util.ThreadPool$Worker.run(ThreadPool.java:246) Caused by: java.io.IOException: java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset at org.knime.dl.python.core.DLPythonAbstractCommands.trainNetwork(DLPythonAbstractCommands.java:555) at org.knime.dl.python.core.training.DLPythonAbstractNetworkTrainingSession.trainInternal(DLPythonAbstractNetworkTrainingSession.java:193) at org.knime.dl.core.training.DLAbstractNetworkTrainingSession.run(DLAbstractNetworkTrainingSession.java:273) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:712) ... 14 more Suppressed: org.knime.dl.core.DLUncheckedException: An exception occured while cleaning up Python. Cause: Failed to clean up Python. See log for details. at org.knime.dl.python.core.DLPythonAbstractContext.close(DLPythonAbstractContext.java:242) at org.knime.dl.python.core.DLPythonAbstractCommands.close(DLPythonAbstractCommands.java:572) at org.knime.dl.python.core.training.DLPythonAbstractNetworkTrainingSession.close(DLPythonAbstractNetworkTrainingSession.java:162) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeModel.executeInternal(DLKerasLearnerNodeModel.java:717) ... 14 more Caused by: org.knime.python2.kernel.PythonKernelCleanupException: Failed to clean up Python. See log for details. at org.knime.python2.kernel.Python2KernelBackend.synchronousClose(Python2KernelBackend.java:1340) at org.knime.python2.kernel.Python2KernelBackend.close(Python2KernelBackend.java:1301) at org.knime.python2.kernel.PythonKernel.close(PythonKernel.java:544) at org.knime.dl.python.core.DLPythonAbstractContext.close(DLPythonAbstractContext.java:240) ... 17 more Caused by: java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset at org.knime.python2.kernel.messaging.AbstractMessageLoop.throwExceptionInLoop(AbstractMessageLoop.java:76) at org.knime.python2.kernel.messaging.DefaultMessageReceiverLoop.loop(DefaultMessageReceiverLoop.java:98) at org.knime.python2.kernel.messaging.AbstractMessageLoop.doLoop(AbstractMessageLoop.java:175) at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source) at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source) at java.base/java.lang.Thread.run(Unknown Source) Suppressed: java.lang.Exception: Failed to distribute message from Python. Cause: Message receiver loop terminated. at org.knime.python2.kernel.messaging.AbstractMessageLoop.throwExceptionInLoop(AbstractMessageLoop.java:76) at org.knime.python2.kernel.messaging.MessageDistributorLoop.loop(MessageDistributorLoop.java:93) ... 4 more Caused by: java.io.IOException: Message receiver loop terminated. at org.knime.python2.kernel.messaging.DefaultMessageReceiverLoop.receive(DefaultMessageReceiverLoop.java:82) at org.knime.python2.kernel.messaging.MessageDistributorLoop.loop(MessageDistributorLoop.java:82) ... 4 more Suppressed: [CIRCULAR REFERENCE: java.lang.Exception: Failed to distribute message from Python. Cause: Message receiver loop terminated.] Caused by: java.net.SocketException: Connection reset at java.base/sun.nio.ch.NioSocketImpl.implRead(Unknown Source) at java.base/sun.nio.ch.NioSocketImpl.read(Unknown Source) at java.base/sun.nio.ch.NioSocketImpl$1.read(Unknown Source) at java.base/java.net.Socket$SocketInputStream.read(Unknown Source) at java.base/java.io.DataInputStream.readFully(Unknown Source) at java.base/java.io.DataInputStream.readFully(Unknown Source) at org.knime.python2.kernel.messaging.PythonMessagingUtils.readInt(PythonMessagingUtils.java:91) at org.knime.python2.kernel.messaging.DefaultMessageReceiver.receive(DefaultMessageReceiver.java:80) at org.knime.python2.kernel.messaging.DefaultMessageReceiverLoop.loop(DefaultMessageReceiverLoop.java:92) ... 4 more Caused by: [CIRCULAR REFERENCE: java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset]