2023-12-24 00:13:18,229 : ERROR : Clear OSGi configuration : : InvokeInstallSiteAction : : : Could not clean OSGi configuration area: C:\Users\ejfer\AppData\Local\Programs\KNIME\configuration\org.eclipse.osgi\131\0\.cp\os\win32\x86_64\localfile_1_0_0.dll 2023-12-24 00:30:14,570 : WARN : comm-pool-thread-3 : : Node : Parquet Reader : 3:1 : Please specify a file 2023-12-24 00:30:15,638 : WARN : comm-pool-thread-3 : : Node : Parquet Reader : 3:2 : Please specify a file 2023-12-24 00:30:18,143 : WARN : comm-pool-thread-3 : : Node : Parquet Reader : 3:3 : Please specify a file 2023-12-24 01:38:46,949 : WARN : main : : Node : Partitioning : 3:7 : No sampling method selected 2023-12-24 01:38:47,894 : WARN : main : : Node : Partitioning : 3:7 : No sampling method selected 2023-12-24 01:39:09,174 : WARN : main : : Node : Partitioning : 3:8 : No sampling method selected 2023-12-24 01:39:09,696 : WARN : main : : Node : Partitioning : 3:8 : No sampling method selected 2023-12-24 01:39:10,029 : WARN : main : : Node : Partitioning : 3:8 : No sampling method selected 2023-12-24 01:39:10,764 : WARN : main : : Node : Partitioning : 3:8 : No sampling method selected 2023-12-24 01:39:16,518 : WARN : main : : Node : Partitioning : 3:9 : No sampling method selected 2023-12-24 01:39:29,408 : WARN : main : : Node : Partitioning : 3:9 : No sampling method selected 2023-12-24 01:39:30,761 : WARN : main : : Node : Partitioning : 3:9 : No sampling method selected 2023-12-24 01:39:34,255 : WARN : main : : WrappedNodeDialog : Partitioning : 3:7 : 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:2240) at org.knime.core.node.workflow.NodeContainer.applySettingsFromDialog(NodeContainer.java:1141) 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:4256) at org.eclipse.swt.widgets.Widget.sendEvent(Widget.java:1066) at org.eclipse.swt.widgets.Display.runDeferredEvents(Display.java:4054) at org.eclipse.swt.widgets.Display.readAndDispatch(Display.java:3642) 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:958) at org.knime.workbench.editor2.editparts.NodeContainerEditPart.openNodeDialog(NodeContainerEditPart.java:865) at org.knime.ui.java.api.NodeAPI.openNodeDialog(NodeAPI.java:97) at jdk.internal.reflect.GeneratedMethodAccessor191.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.knime.ui.java.api.DesktopAPI.invokeMethod(DesktopAPI.java:167) at org.knime.ui.java.api.DesktopAPI.lambda$1(DesktopAPI.java:138) at org.eclipse.swt.widgets.RunnableLock.run(RunnableLock.java:40) at org.eclipse.swt.widgets.Synchronizer.runAsyncMessages(Synchronizer.java:132) at org.eclipse.swt.widgets.Display.runAsyncMessages(Display.java:4029) at org.eclipse.swt.widgets.Display.readAndDispatch(Display.java:3645) at org.eclipse.e4.ui.internal.workbench.swt.PartRenderingEngine$5.run(PartRenderingEngine.java:1155) 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:643) at org.eclipse.core.databinding.observable.Realm.runWithDefault(Realm.java:338) at org.eclipse.ui.internal.Workbench.createAndRunWorkbench(Workbench.java:550) at org.eclipse.ui.PlatformUI.createAndRunWorkbench(PlatformUI.java:171) at org.knime.product.rcp.KNIMEApplication.start(KNIMEApplication.java:204) at org.eclipse.equinox.internal.app.EclipseAppHandle.run(EclipseAppHandle.java:203) at org.eclipse.core.runtime.internal.adaptor.EclipseAppLauncher.runApplication(EclipseAppLauncher.java:136) at org.eclipse.core.runtime.internal.adaptor.EclipseAppLauncher.start(EclipseAppLauncher.java:104) at org.eclipse.core.runtime.adaptor.EclipseStarter.run(EclipseStarter.java:402) 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:659) at org.eclipse.equinox.launcher.Main.basicRun(Main.java:596) at org.eclipse.equinox.launcher.Main.run(Main.java:1467) 2023-12-24 01:40:33,553 : WARN : comm-pool-thread-7 : : Node : Keras Network Learner : 3:26 : Selected input columns provide more elements (344) than neurons available (160) for network input 'input_1_0:0'. Try removing some columns from the selection. 2023-12-24 01:41:51,686 : WARN : comm-pool-thread-9 : : Node : Keras Network Learner : 3:26 : Selected input columns provide more elements (163) than neurons available (160) for network input 'input_1_0:0'. Try removing some columns from the selection. 2023-12-24 01:42:09,718 : WARN : KNIME-Worker-2-Parquet Reader 3:3 : : Node : Keras Network Learner : 3:26 : Selected input columns provide more elements (163) than neurons available (160) for network input 'input_1_0:0'. Try removing some columns from the selection. 2023-12-24 01:43:02,974 : WARN : main : : WrappedNodeDialog : Keras Network Learner : 3:26 : failed to apply settings: Selected target columns provide more elements (163) than neurons available (3) for network target 'dense_8_0:0'. Try removing some columns from the selection. org.knime.core.node.InvalidSettingsException: Selected target columns provide more elements (163) than neurons available (3) for network target 'dense_8_0:0'. Try removing some columns from the selection. at org.knime.dl.base.nodes.DLConfigurationUtility.inputMatchesTensorSpec(DLConfigurationUtility.java:192) at org.knime.dl.base.nodes.DLInputPanel.saveToSettings(DLInputPanel.java:174) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerTargetPanel.saveToSettings(DLKerasLearnerTargetPanel.java:85) at org.knime.dl.base.nodes.DLInputsPanel.saveSettingsTo(DLInputsPanel.java:111) at org.knime.dl.base.nodes.DefaultDLNodeDialogPane.saveSettingsTo(DefaultDLNodeDialogPane.java:230) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeDialog.saveSettingsTo(DLKerasLearnerNodeDialog.java:162) at org.knime.core.node.NodeDialogPane.internalSaveSettingsTo(NodeDialogPane.java:539) at org.knime.core.node.NodeDialogPane$4.run(NodeDialogPane.java:778) 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) 2023-12-24 01:43:13,501 : WARN : main : : Node : Keras Network Executor : 3:27 : Network input 'input_1_0:0' is not yet configured. 2023-12-24 01:43:32,441 : WARN : main : : Node : Keras Network Executor : 3:27 : Network input 'input_1_0:0' is not yet configured. 2023-12-24 01:43:32,944 : WARN : main : : Node : Keras Network Executor : 3:27 : Network input 'input_1_0:0' is not yet configured. 2023-12-24 01:44:06,262 : WARN : main : : Node : Keras Network Executor : 3:27 : Network input 'input_1_0:0' is not yet configured. 2023-12-24 01:44:06,826 : WARN : main : : Node : Keras Network Executor : 3:27 : Network input 'input_1_0:0' is not yet configured. 2023-12-24 01:46:16,191 : WARN : main : : Node : Keras Network Executor : 3:27 : Network input 'input_1_0:0' is not yet configured. 2023-12-24 01:48:31,220 : WARN : main : : WrappedNodeDialog : Partitioning : 3:7 : 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:2240) at org.knime.core.node.workflow.NodeContainer.applySettingsFromDialog(NodeContainer.java:1141) 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:4256) at org.eclipse.swt.widgets.Widget.sendEvent(Widget.java:1066) at org.eclipse.swt.widgets.Display.runDeferredEvents(Display.java:4054) at org.eclipse.swt.widgets.Display.readAndDispatch(Display.java:3642) 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:958) at org.knime.workbench.editor2.editparts.NodeContainerEditPart.openNodeDialog(NodeContainerEditPart.java:865) at org.knime.ui.java.api.NodeAPI.openNodeDialog(NodeAPI.java:97) at jdk.internal.reflect.GeneratedMethodAccessor191.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.knime.ui.java.api.DesktopAPI.invokeMethod(DesktopAPI.java:167) at org.knime.ui.java.api.DesktopAPI.lambda$1(DesktopAPI.java:138) at org.eclipse.swt.widgets.RunnableLock.run(RunnableLock.java:40) at org.eclipse.swt.widgets.Synchronizer.runAsyncMessages(Synchronizer.java:132) at org.eclipse.swt.widgets.Display.runAsyncMessages(Display.java:4029) at org.eclipse.swt.widgets.Display.readAndDispatch(Display.java:3645) at org.eclipse.e4.ui.internal.workbench.swt.PartRenderingEngine$5.run(PartRenderingEngine.java:1155) 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:643) at org.eclipse.core.databinding.observable.Realm.runWithDefault(Realm.java:338) at org.eclipse.ui.internal.Workbench.createAndRunWorkbench(Workbench.java:550) at org.eclipse.ui.PlatformUI.createAndRunWorkbench(PlatformUI.java:171) at org.knime.product.rcp.KNIMEApplication.start(KNIMEApplication.java:204) at org.eclipse.equinox.internal.app.EclipseAppHandle.run(EclipseAppHandle.java:203) at org.eclipse.core.runtime.internal.adaptor.EclipseAppLauncher.runApplication(EclipseAppLauncher.java:136) at org.eclipse.core.runtime.internal.adaptor.EclipseAppLauncher.start(EclipseAppLauncher.java:104) at org.eclipse.core.runtime.adaptor.EclipseStarter.run(EclipseStarter.java:402) 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:659) at org.eclipse.equinox.launcher.Main.basicRun(Main.java:596) at org.eclipse.equinox.launcher.Main.run(Main.java:1467) 2023-12-24 01:48:44,705 : WARN : main : : Node : Keras Network Executor : 3:27 : Network input 'input_1_0:0' is not yet configured. 2023-12-24 01:48:45,145 : WARN : main : : Node : Keras Network Executor : 3:27 : Network input 'input_1_0:0' is not yet configured. 2023-12-24 01:48:45,396 : WARN : main : : Node : Keras Network Executor : 3:27 : Network input 'input_1_0:0' is not yet configured. 2023-12-24 01:48:46,029 : WARN : main : : Node : Keras Network Executor : 3:27 : Network input 'input_1_0:0' is not yet configured. 2023-12-24 01:48:51,555 : WARN : main : : Node : Keras Network Executor : 3:27 : Network input 'input_1_0:0' is not yet configured. 2023-12-24 01:48:52,027 : WARN : main : : Node : Keras Network Executor : 3:27 : Network input 'input_1_0:0' is not yet configured. 2023-12-24 01:48:52,629 : WARN : main : : Node : Keras Network Executor : 3:27 : Network input 'input_1_0:0' is not yet configured. 2023-12-24 01:48:57,219 : WARN : main : : Node : Keras Network Executor : 3:27 : Network input 'input_1_0:0' is not yet configured. 2023-12-24 01:58:57,363 : WARN : KNIME-Worker-8-Column Filter 3:15 : : Node : Keras Network Executor : 3:27 : Network input 'input_1_0:0' is not yet configured. 2023-12-24 02:43:46,421 : WARN : main : : Node : Keras Network Executor : 3:27 : Network input 'input_1_0:0' is not yet configured. 2023-12-24 02:44:15,921 : WARN : Thread-1637 : : PythonKernel : Keras Network Learner : 3:26 : C:\Users\ejfer\anaconda3\envs\cudnn7\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-24 02:45:21,767 : ERROR : KNIME-Worker-10-Keras Network Learner 3:26 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:26 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_243]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-24 02:45:21,768 : ERROR : KNIME-Worker-10-Keras Network Learner 3:26 : : Node : Keras Network Learner : 3:26 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_243]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 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) 2023-12-24 02:45:21,769 : WARN : KNIME-Worker-10-Keras Network Learner 3:26 : : Node : Keras Network Executor : 3:27 : Network input 'input_1_0:0' is not yet configured. 2023-12-24 02:47:33,240 : WARN : main : : Node : Keras Network Executor : 3:27 : Network input 'input_1_0:0' is not yet configured. 2023-12-24 02:48:18,395 : WARN : main : : Node : Keras Network Executor : 3:27 : Network input 'input_1_0:0' is not yet configured. 2023-12-24 02:48:19,110 : WARN : main : : Node : Keras Network Executor : 3:27 : Network input 'input_1_0:0' is not yet configured. 2023-12-24 02:48:50,224 : WARN : Thread-1695 : : PythonKernel : Keras Network Learner : 3:26 : C:\Users\ejfer\anaconda3\envs\cudnn7\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-24 02:48:53,826 : ERROR : KNIME-Worker-13-Keras Network Learner 3:26 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:26 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_243]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-24 02:48:53,827 : ERROR : KNIME-Worker-13-Keras Network Learner 3:26 : : Node : Keras Network Learner : 3:26 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_243]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 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) 2023-12-24 02:48:53,828 : WARN : KNIME-Worker-13-Keras Network Learner 3:26 : : Node : Keras Network Executor : 3:27 : Network input 'input_1_0:0' is not yet configured. 2023-12-24 02:51:56,708 : WARN : main : : Node : Keras Network Executor : 3:27 : Network input 'input_1_0:0' is not yet configured. 2023-12-24 02:51:58,077 : WARN : main : : Node : Keras Network Executor : 3:27 : Network input 'input_1_0:0' is not yet configured. 2023-12-24 02:54:18,597 : WARN : main : : Node : Keras Network Executor : 3:27 : Network input 'input_1_0:0' is not yet configured. 2023-12-24 02:55:15,537 : WARN : Thread-2091 : : PythonKernel : Keras Network Learner : 3:26 : C:\Users\ejfer\anaconda3\envs\cudnn7\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-24 02:55:18,643 : ERROR : KNIME-Worker-17-Keras Network Learner 3:26 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:26 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_243]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-24 02:55:18,643 : ERROR : KNIME-Worker-17-Keras Network Learner 3:26 : : Node : Keras Network Learner : 3:26 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_243]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 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) 2023-12-24 02:55:18,644 : WARN : KNIME-Worker-17-Keras Network Learner 3:26 : : Node : Keras Network Executor : 3:27 : Network input 'input_1_0:0' is not yet configured. 2023-12-24 02:55:28,970 : WARN : main : : Node : Keras Network Learner : 3:26 : Input deep learning network changed. Please reconfigure the node. 2023-12-24 02:55:30,269 : WARN : main : : Node : Keras Network Learner : 3:26 : Input deep learning network changed. Please reconfigure the node. 2023-12-24 02:55:30,980 : WARN : main : : Node : Keras Network Learner : 3:26 : Input deep learning network changed. Please reconfigure the node. 2023-12-24 02:55:33,615 : WARN : KNIME-Worker-20-Keras Dense Layer 3:25 : : Node : Keras Network Learner : 3:26 : Input deep learning network changed. Please reconfigure the node. 2023-12-24 02:55:49,540 : WARN : main : : Node : Keras Network Executor : 3:27 : Network input 'input_1_0:0' is not yet configured. 2023-12-24 02:55:50,510 : WARN : main : : Node : Keras Network Executor : 3:27 : Network input 'input_1_0:0' is not yet configured. 2023-12-24 02:56:47,494 : WARN : Thread-2131 : : PythonKernel : Keras Network Learner : 3:26 : C:\Users\ejfer\anaconda3\envs\cudnn7\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-24 02:56:50,418 : ERROR : KNIME-Worker-18-Keras Network Learner 3:26 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:26 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_233]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-24 02:56:50,419 : ERROR : KNIME-Worker-18-Keras Network Learner 3:26 : : Node : Keras Network Learner : 3:26 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_233]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 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) 2023-12-24 02:56:50,420 : WARN : KNIME-Worker-18-Keras Network Learner 3:26 : : Node : Keras Network Executor : 3:27 : Network input 'input_1_0:0' is not yet configured. 2023-12-24 03:07:15,359 : WARN : comm-pool-thread-2 : : Node : Parquet Reader : 3:1 : Please specify a file 2023-12-24 03:07:17,304 : WARN : comm-pool-thread-2 : : Node : Parquet Reader : 3:2 : Please specify a file 2023-12-24 03:07:18,278 : WARN : comm-pool-thread-2 : : Node : Parquet Reader : 3:3 : Please specify a file 2023-12-24 03:09:00,341 : WARN : comm-pool-thread-2 : : Node : Partitioning : 3:8 : No sampling method selected 2023-12-24 03:09:10,150 : WARN : main : : Node : Partitioning : 3:9 : No sampling method selected 2023-12-24 03:09:10,936 : WARN : main : : Node : Partitioning : 3:9 : No sampling method selected 2023-12-24 03:09:46,222 : WARN : KNIME-Worker-0-Parquet Reader 3:2 : : Node : Partitioning : 3:9 : No sampling method selected 2023-12-24 03:10:45,872 : WARN : main : : Node : Partitioning : 3:10 : No sampling method selected 2023-12-24 03:10:52,746 : WARN : comm-pool-thread-4 : : Node : Partitioning : 3:10 : No sampling method selected 2023-12-24 03:16:37,670 : WARN : comm-pool-thread-4 : : Node : Keras Network Learner : 3:22 : Selected input columns provide more elements (344) than neurons available (160) for network input 'input_1_0:0'. Try removing some columns from the selection. 2023-12-24 03:16:39,601 : WARN : comm-pool-thread-4 : : Node : Keras Network Learner : 3:22 : Selected input columns provide more elements (344) than neurons available (160) for network input 'input_1_0:0'. Try removing some columns from the selection. 2023-12-24 03:18:34,208 : WARN : comm-pool-thread-6 : : Node : Keras Network Learner : 3:22 : Selected input columns provide more elements (163) than neurons available (160) for network input 'input_1_0:0'. Try removing some columns from the selection. 2023-12-24 03:19:35,067 : WARN : main : : Node : Keras Network Executor : 3:23 : Network input 'input_1_0:0' is not yet configured. 2023-12-24 03:19:35,403 : WARN : main : : Node : Keras Network Executor : 3:23 : Network input 'input_1_0:0' is not yet configured. 2023-12-24 03:19:41,298 : WARN : main : : Node : Keras Network Executor : 3:23 : Network input 'input_1_0:0' is not yet configured. 2023-12-24 03:19:42,095 : WARN : main : : Node : Keras Network Executor : 3:23 : Network input 'input_1_0:0' is not yet configured. 2023-12-24 03:20:35,447 : WARN : comm-pool-thread-8 : : Node : Keras Network Executor : 3:23 : Network input 'input_1_0:0' is not yet configured. 2023-12-24 03:20:41,571 : WARN : main : : Node : Keras Network Executor : 3:23 : Network input 'input_1_0:0' is not yet configured. 2023-12-24 03:20:42,037 : WARN : main : : Node : Keras Network Executor : 3:23 : Network input 'input_1_0:0' is not yet configured. 2023-12-24 03:20:57,816 : WARN : main : : Node : Keras Network Executor : 3:23 : Network input 'input_1_0:0' is not yet configured. 2023-12-24 03:21:00,802 : WARN : main : : Node : Keras Network Executor : 3:23 : Network input 'input_1_0:0' is not yet configured. 2023-12-24 03:21:12,520 : WARN : main : : Node : Keras Network Executor : 3:23 : Network input 'input_1_0:0' is not yet configured. 2023-12-24 03:21:12,874 : WARN : main : : Node : Keras Network Executor : 3:23 : Network input 'input_1_0:0' is not yet configured. 2023-12-24 03:21:27,962 : WARN : main : : Node : Keras Network Executor : 3:23 : Network input 'input_1_0:0' is not yet configured. 2023-12-24 03:21:30,466 : WARN : main : : Node : Keras Network Executor : 3:23 : Network input 'input_1_0:0' is not yet configured. 2023-12-24 03:21:41,873 : WARN : main : : Node : Keras Network Executor : 3:23 : Network input 'input_1_0:0' is not yet configured. 2023-12-24 03:21:46,496 : WARN : main : : Node : Keras Network Executor : 3:23 : Network input 'input_1_0:0' is not yet configured. 2023-12-24 03:21:47,102 : WARN : main : : Node : Keras Network Executor : 3:23 : Network input 'input_1_0:0' is not yet configured. 2023-12-24 03:28:19,786 : ERROR : KNIME-Worker-9-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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 'keras' or one of its dependencies is missing. Further output: Using TensorFlow backend. 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 'keras' or one of its dependencies is missing. Further output: Using TensorFlow backend. 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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 'keras' or one of its dependencies is missing. Further output: Using TensorFlow backend. 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 'keras' or one of its dependencies is missing. Further output: Using TensorFlow backend. 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 'keras' or one of its dependencies is missing. Further output: Using TensorFlow backend. 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 2023-12-24 03:32:08,630 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : 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 'keras' or one of its dependencies is missing. Further output: Using TensorFlow backend. 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. 2023-12-24 03:33:14,768 : WARN : Thread-373 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\cudnn7\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-24 03:33:17,990 : ERROR : KNIME-Worker-1-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_221]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-24 03:33:17,991 : ERROR : KNIME-Worker-1-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_221]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-24 03:41:15,608 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. 2023-12-24 03:42:31,338 : WARN : Thread-373 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\cudnn7\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-24 03:42:34,326 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_219]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-24 03:42:34,326 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_219]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-24 03:44:42,945 : WARN : Thread-419 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\cudnn7\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-24 03:44:45,921 : ERROR : KNIME-Worker-2-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_221]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-24 03:44:45,921 : ERROR : KNIME-Worker-2-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_221]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-24 03:48:35,870 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. 2023-12-24 03:50:01,756 : WARN : Thread-394 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\cudnn7\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-24 03:50:04,760 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_221]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-24 03:50:04,761 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_221]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-24 03:52:22,232 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. 2023-12-24 03:53:51,189 : WARN : Thread-394 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\cudnn7\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-24 03:53:54,156 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_221]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-24 03:53:54,156 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_221]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-24 03:56:43,110 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. 2023-12-24 03:57:59,712 : WARN : Thread-394 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\cudnn7\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-24 03:58:02,705 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_221]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-24 03:58:02,706 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_221]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-24 03:59:36,711 : WARN : Thread-401 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\cudnn7\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-24 03:59:39,673 : ERROR : KNIME-Worker-2-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_219]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-24 03:59:39,673 : ERROR : KNIME-Worker-2-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_219]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-24 04:28:14,332 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. 2023-12-24 04:30:10,550 : WARN : Thread-397 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\cudnn74\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-24 04:30:13,857 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_221]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-24 04:30:13,858 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_221]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-24 05:03:47,055 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. 2023-12-24 05:05:16,538 : WARN : Thread-396 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\cudnn74\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-24 05:05:19,549 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_219]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-24 05:05:19,550 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_219]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-24 05:26:17,130 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. 2023-12-24 05:28:05,037 : WARN : Thread-398 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\cudnn731\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-24 05:28:08,226 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_221]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-24 05:28:08,226 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_221]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-24 05:36:05,920 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. 2023-12-24 05:37:36,331 : WARN : Thread-395 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\cudnn731\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-24 05:37:40,129 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_221]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-24 05:37:40,131 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_221]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-24 05:42:05,285 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-24 05:42:06,706 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-24 05:42:09,208 : WARN : KNIME-Worker-3-Keras Dense Layer 3:21 : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-24 05:42:31,792 : WARN : Thread-463 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\cudnn731\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-24 05:42:34,819 : ERROR : KNIME-Worker-2-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_199]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-24 05:42:34,819 : ERROR : KNIME-Worker-2-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_199]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-24 05:43:47,856 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-24 05:43:49,367 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-24 05:44:24,905 : WARN : KNIME-Worker-4-Keras Network Learner 3:22 : : DLKnimeNetworkValidationInputPreparer : Keras Network Learner : 3:22 : The number of rows of the input validation data table (150000) is not a multiple of the selected validation batch size (160). 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. 2023-12-24 05:44:26,413 : WARN : Thread-494 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\cudnn731\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-24 05:44:29,484 : ERROR : KNIME-Worker-4-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(160, 160), b.shape=(160, 160), m=160, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_219]] (1) Internal: Blas GEMM launch failed : a.shape=(160, 160), b.shape=(160, 160), m=160, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-24 05:44:29,484 : ERROR : KNIME-Worker-4-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(160, 160), b.shape=(160, 160), m=160, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_219]] (1) Internal: Blas GEMM launch failed : a.shape=(160, 160), b.shape=(160, 160), m=160, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-24 05:51:21,707 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. 2023-12-24 05:53:08,478 : WARN : Thread-422 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\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. 2023-12-24 05:55:06,559 : WARN : Thread-516 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\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. 2023-12-24 05:58:02,548 : WARN : Thread-570 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_CPU\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-24 05:59:44,004 : WARN : Thread-613 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\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. 2023-12-24 06:19:56,474 : WARN : Thread-655 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\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. 2023-12-24 06:31:37,392 : WARN : Thread-691 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_CPU\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-24 06:43:11,174 : WARN : Thread-727 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\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. 2023-12-24 06:50:49,569 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. 2023-12-24 06:52:25,942 : WARN : Thread-393 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\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. 2023-12-24 07:12:29,993 : WARN : Thread-481 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\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. 2023-12-24 07:27:27,991 : WARN : Thread-395 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\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. 2023-12-24 07:27:31,912 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_221]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-24 07:27:31,913 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_221]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-24 07:30:37,420 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. 2023-12-24 07:36:46,866 : WARN : Thread-421 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\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. 2023-12-24 07:36:50,009 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_189]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-24 07:36:50,010 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_189]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-24 07:50:56,247 : WARN : Thread-455 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\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. 2023-12-24 07:50:59,275 : ERROR : KNIME-Worker-2-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_221]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-24 07:50:59,275 : ERROR : KNIME-Worker-2-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_221]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-24 07:54:21,967 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. 2023-12-24 07:59:44,248 : WARN : Thread-394 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\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. 2023-12-24 07:59:47,292 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_219]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-24 07:59:47,292 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_219]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-24 08:03:29,293 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. 2023-12-24 08:08:51,248 : WARN : Thread-394 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\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. 2023-12-24 08:08:54,285 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_219]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-24 08:08:54,286 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_219]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-24 08:12:57,528 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. 2023-12-24 08:18:19,326 : WARN : Thread-394 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\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. 2023-12-24 08:18:22,460 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_221]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-24 08:18:22,461 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_221]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-24 08:32:05,200 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. 2023-12-24 08:37:45,185 : WARN : Thread-423 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\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. 2023-12-24 08:37:48,197 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : Blas GEMM launch failed : a.shape=(8, 15), b.shape=(8, 3), m=15, n=3, k=8 [[{{node training/Adam/gradients/dense_7/MatMul_grad/MatMul_1}}]] 2023-12-24 08:37:48,198 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: Blas GEMM launch failed : a.shape=(8, 15), b.shape=(8, 3), m=15, n=3, k=8 [[{{node training/Adam/gradients/dense_7/MatMul_grad/MatMul_1}}]] at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-24 17:06:00,003 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. 2023-12-24 17:11:47,469 : WARN : Thread-396 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\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. 2023-12-24 17:11:50,509 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_221]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-24 17:11:50,509 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_221]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-24 17:26:45,215 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. 2023-12-24 17:35:40,010 : WARN : Thread-426 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-24 17:47:55,342 : WARN : Thread-489 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-24 18:01:33,873 : WARN : Thread-524 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-24 18:23:27,915 : WARN : KNIME-Worker-6-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : Execution canceled 2023-12-24 18:28:37,271 : WARN : Thread-608 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-24 18:28:40,480 : ERROR : KNIME-Worker-7-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_221]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-24 18:28:40,482 : ERROR : KNIME-Worker-7-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_221]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-24 18:34:20,439 : WARN : Thread-639 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-24 18:34:23,555 : ERROR : KNIME-Worker-8-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_219]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-24 18:34:23,556 : ERROR : KNIME-Worker-8-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_219]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-24 18:49:36,039 : WARN : Thread-694 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-24 18:49:39,011 : ERROR : KNIME-Worker-9-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_219]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-24 18:49:39,011 : ERROR : KNIME-Worker-9-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_219]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-24 19:17:45,693 : WARN : KNIME-Worker-11-Keras Network Learner 3:22 : : DLKerasAbstractCommands : Keras Network Learner : 3:22 : Couldn't load the model with the training configuration. See log for details. Trying to load it uncompiled. org.knime.python2.kernel.PythonIOException: 'str' object has no attribute 'decode' Traceback (most recent call last): File "", line 3, in File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLTF2NetworkReader.py", line 126, in read return read_keras(self.backend, path, compile, compatibility_mode) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLTF2NetworkReader.py", line 92, in read_keras }[backend](path, compile, compatibility_mode) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLTF2NetworkReader.py", line 98, in read_keras_tensorflow compatibility_mode=compatibility_mode) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLKerasTensorFlowNetwork.py", line 60, in read model = self._read_internal(path, compile) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLKerasNetwork.py", line 100, in _read_internal return load_model(path, compile=compile) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\engine\saving.py", line 419, in load_model model = _deserialize_model(f, custom_objects, compile) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\engine\saving.py", line 224, in _deserialize_model model_config = json.loads(model_config.decode('utf-8')) AttributeError: 'str' object has no attribute 'decode' 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) Caused by: Traceback (most recent call last): File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\messaging\RequestHandlers.py", line 96, in _handle_custom_message response = self._respond(message, response_message_id, workspace) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\messaging\RequestHandlers.py", line 379, in _respond output, error = workspace.execute(source_code, request.id) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\PythonKernelBase.py", line 328, in execute exec(source_code, self._exec_env, self._exec_env) File "", line 3, in File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLTF2NetworkReader.py", line 126, in read return read_keras(self.backend, path, compile, compatibility_mode) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLTF2NetworkReader.py", line 92, in read_keras }[backend](path, compile, compatibility_mode) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLTF2NetworkReader.py", line 98, in read_keras_tensorflow compatibility_mode=compatibility_mode) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLKerasTensorFlowNetwork.py", line 60, in read model = self._read_internal(path, compile) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLKerasNetwork.py", line 100, in _read_internal return load_model(path, compile=compile) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\engine\saving.py", line 419, in load_model model = _deserialize_model(f, custom_objects, compile) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\engine\saving.py", line 224, in _deserialize_model model_config = json.loads(model_config.decode('utf-8')) AttributeError: 'str' object has no attribute 'decode' 2023-12-24 19:17:47,771 : ERROR : KNIME-Worker-11-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : An error occurred while communicating with Python (while reading in the Keras network). 2023-12-24 19:17:47,772 : ERROR : KNIME-Worker-11-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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: An error occurred while communicating with Python (while reading in the Keras network). at org.knime.dl.keras.core.DLKerasAbstractNetworkLoader.loadInternal(DLKerasAbstractNetworkLoader.java:177) at org.knime.dl.keras.core.DLKerasAbstractNetworkLoader.load(DLKerasAbstractNetworkLoader.java:130) at org.knime.dl.keras.core.DLKerasAbstractNetworkLoader.load(DLKerasAbstractNetworkLoader.java:1) at org.knime.dl.python.core.training.DLPythonAbstractNetworkTrainingSession.trainInternal(DLPythonAbstractNetworkTrainingSession.java:190) 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 Caused by: org.knime.python2.kernel.PythonIOException: 'str' object has no attribute 'decode' Traceback (most recent call last): File "", line 3, in File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLTF2NetworkReader.py", line 126, in read return read_keras(self.backend, path, compile, compatibility_mode) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLTF2NetworkReader.py", line 92, in read_keras }[backend](path, compile, compatibility_mode) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLTF2NetworkReader.py", line 98, in read_keras_tensorflow compatibility_mode=compatibility_mode) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLKerasTensorFlowNetwork.py", line 60, in read model = self._read_internal(path, compile) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLKerasNetwork.py", line 100, in _read_internal return load_model(path, compile=compile) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\engine\saving.py", line 419, in load_model model = _deserialize_model(f, custom_objects, compile) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\engine\saving.py", line 224, in _deserialize_model model_config = json.loads(model_config.decode('utf-8')) AttributeError: 'str' object has no attribute 'decode' 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) 2023-12-24 19:32:20,829 : WARN : Thread-838 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\keras-gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-24 20:32:32,574 : WARN : Thread-902 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\keras-gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-24 21:08:42,017 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. 2023-12-24 21:14:01,182 : WARN : Thread-395 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\keras-gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-24 21:27:29,248 : WARN : Thread-431 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\keras-gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-24 21:27:33,093 : ERROR : KNIME-Worker-2-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_219]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-24 21:27:33,095 : ERROR : KNIME-Worker-2-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_219]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-24 21:37:21,869 : WARN : Thread-475 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\keras-gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-24 21:37:24,839 : ERROR : KNIME-Worker-4-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_219]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-24 21:37:24,840 : ERROR : KNIME-Worker-4-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_219]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-24 22:12:19,079 : WARN : Thread-481 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\keras-gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-24 22:12:22,010 : ERROR : KNIME-Worker-6-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_219]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-24 22:12:22,011 : ERROR : KNIME-Worker-6-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_219]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-24 22:21:23,657 : WARN : Thread-506 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\keras-gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-24 22:21:26,627 : ERROR : KNIME-Worker-8-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_219]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-24 22:21:26,628 : ERROR : KNIME-Worker-8-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_219]] (1) Internal: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-24 23:12:38,370 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. 2023-12-24 23:24:43,151 : ERROR : KNIME-Worker-1-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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 2023-12-24 23:42:44,966 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. 2023-12-24 23:47:41,051 : WARN : ModalContext : : Node : Python Edit Variable (legacy) : 4:2405 : Errors overwriting node settings with flow variables: Unknown variable "conda.environment" 2023-12-24 23:47:41,128 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Errors during load: Status: Error: kn_example_python_yaml_files_conda 4 loaded with errors 2023-12-24 23:47:41,129 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: Error: kn_example_python_yaml_files_conda 4 2023-12-24 23:47:41,129 : ERROR : ModalContext : : LoadWorkflowRunnable : : : Status: Error: Node "Python Script" not available from extension "KNIME Python Integration" (provided by "KNIME AG, Zurich, Switzerland"; plugin "org.knime.python3.scripting.nodes" is not installed) 2023-12-24 23:49:43,547 : ERROR : KNIME-Worker-1-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : Execute failed: An error occurred while creating the Keras network from its layer specifications. Details: An error occurred while trying to launch Python: Could not start Python. There are problems with your Python environment: Library pandas is missing, required minimum version is 0.20.0 (inclusive). 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: An error occurred while trying to launch Python: Could not start Python. There are problems with your Python environment: Library pandas is missing, required minimum version is 0.20.0 (inclusive). 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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: An error occurred while trying to launch Python: Could not start Python. There are problems with your Python environment: Library pandas is missing, required minimum version is 0.20.0 (inclusive). 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: An error occurred while trying to launch Python: Could not start Python. There are problems with your Python environment: Library pandas is missing, required minimum version is 0.20.0 (inclusive). 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: An error occurred while trying to launch Python: Could not start Python. There are problems with your Python environment: Library pandas is missing, required minimum version is 0.20.0 (inclusive). at org.knime.dl.python.core.DLPythonAbstractContext.createKernel(DLPythonAbstractContext.java:280) at org.knime.dl.python.core.DLPythonAbstractContext.getKernel(DLPythonAbstractContext.java:124) at org.knime.dl.python.core.DLPythonAbstractCommands.testInstallation(DLPythonAbstractCommands.java:281) at org.knime.dl.python.core.DLPythonAbstractNetworkLoader$DLPythonInstallationTester$InstallationTestCallable.call(DLPythonAbstractNetworkLoader.java:173) ... 6 more Caused by: org.knime.python2.kernel.PythonInstallationTestException: Could not start Python. There are problems with your Python environment: Library pandas is missing, required minimum version is 0.20.0 (inclusive). at org.knime.python2.kernel.PythonKernel.testInstallation(PythonKernel.java:102) at org.knime.python2.kernel.Python2KernelBackend.(Python2KernelBackend.java:331) at org.knime.python2.kernel.Python2KernelBackendFactory.createBackend(Python2KernelBackendFactory.java:66) at org.knime.python2.kernel.PythonKernelQueue$KeyedPooledPythonKernelFactory.createKernel(PythonKernelQueue.java:407) at org.knime.python2.kernel.PythonKernelQueue$KeyedPooledPythonKernelFactory.populateHolder(PythonKernelQueue.java:396) at org.knime.python2.kernel.PythonKernelQueue$KeyedPooledPythonKernelFactory.makeObject(PythonKernelQueue.java:381) at org.knime.python2.kernel.PythonKernelQueue$KeyedPooledPythonKernelFactory.makeObject(PythonKernelQueue.java:1) at org.apache.commons.pool2.impl.GenericKeyedObjectPool.create(GenericKeyedObjectPool.java:1051) at org.apache.commons.pool2.impl.GenericKeyedObjectPool.borrowObject(GenericKeyedObjectPool.java:347) at org.apache.commons.pool2.impl.GenericKeyedObjectPool.borrowObject(GenericKeyedObjectPool.java:270) at org.knime.python2.kernel.PythonKernelQueue.dequeueHolder(PythonKernelQueue.java:298) at org.knime.python2.kernel.PythonKernelQueue.getNextKernelInternal(PythonKernelQueue.java:282) at org.knime.python2.kernel.PythonKernelQueue.getNextKernel(PythonKernelQueue.java:198) at org.knime.python2.kernel.PythonKernelQueue.getNextKernel(PythonKernelQueue.java:156) at org.knime.dl.python.core.DLPythonAbstractContext.createKernel(DLPythonAbstractContext.java:274) ... 9 more 2023-12-24 23:59:39,124 : WARN : Thread-568 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\KerasGPU\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-25 00:18:17,456 : WARN : Thread-705 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\KerasGPU\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-25 00:46:56,186 : WARN : KNIME-Worker-8-Keras Network Learner 6:22 : : DLKerasAbstractCommands : Keras Network Learner : 6:22 : Couldn't load the model with the training configuration. See log for details. Trying to load it uncompiled. org.knime.python2.kernel.PythonIOException: 'str' object has no attribute 'decode' Traceback (most recent call last): File "", line 3, in File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLTF2NetworkReader.py", line 126, in read return read_keras(self.backend, path, compile, compatibility_mode) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLTF2NetworkReader.py", line 92, in read_keras }[backend](path, compile, compatibility_mode) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLTF2NetworkReader.py", line 98, in read_keras_tensorflow compatibility_mode=compatibility_mode) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLKerasTensorFlowNetwork.py", line 60, in read model = self._read_internal(path, compile) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLKerasNetwork.py", line 100, in _read_internal return load_model(path, compile=compile) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\engine\saving.py", line 419, in load_model model = _deserialize_model(f, custom_objects, compile) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\engine\saving.py", line 224, in _deserialize_model model_config = json.loads(model_config.decode('utf-8')) AttributeError: 'str' object has no attribute 'decode' 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) Caused by: Traceback (most recent call last): File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\messaging\RequestHandlers.py", line 96, in _handle_custom_message response = self._respond(message, response_message_id, workspace) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\messaging\RequestHandlers.py", line 379, in _respond output, error = workspace.execute(source_code, request.id) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\PythonKernelBase.py", line 328, in execute exec(source_code, self._exec_env, self._exec_env) File "", line 3, in File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLTF2NetworkReader.py", line 126, in read return read_keras(self.backend, path, compile, compatibility_mode) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLTF2NetworkReader.py", line 92, in read_keras }[backend](path, compile, compatibility_mode) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLTF2NetworkReader.py", line 98, in read_keras_tensorflow compatibility_mode=compatibility_mode) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLKerasTensorFlowNetwork.py", line 60, in read model = self._read_internal(path, compile) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLKerasNetwork.py", line 100, in _read_internal return load_model(path, compile=compile) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\engine\saving.py", line 419, in load_model model = _deserialize_model(f, custom_objects, compile) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\engine\saving.py", line 224, in _deserialize_model model_config = json.loads(model_config.decode('utf-8')) AttributeError: 'str' object has no attribute 'decode' 2023-12-25 00:46:58,278 : ERROR : KNIME-Worker-8-Keras Network Learner 6:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 6:22 : An error occurred while communicating with Python (while reading in the Keras network). 2023-12-25 00:46:58,279 : ERROR : KNIME-Worker-8-Keras Network Learner 6:22 : : Node : Keras Network Learner : 6:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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: An error occurred while communicating with Python (while reading in the Keras network). at org.knime.dl.keras.core.DLKerasAbstractNetworkLoader.loadInternal(DLKerasAbstractNetworkLoader.java:177) at org.knime.dl.keras.core.DLKerasAbstractNetworkLoader.load(DLKerasAbstractNetworkLoader.java:130) at org.knime.dl.keras.core.DLKerasAbstractNetworkLoader.load(DLKerasAbstractNetworkLoader.java:1) at org.knime.dl.python.core.training.DLPythonAbstractNetworkTrainingSession.trainInternal(DLPythonAbstractNetworkTrainingSession.java:190) 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 Caused by: org.knime.python2.kernel.PythonIOException: 'str' object has no attribute 'decode' Traceback (most recent call last): File "", line 3, in File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLTF2NetworkReader.py", line 126, in read return read_keras(self.backend, path, compile, compatibility_mode) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLTF2NetworkReader.py", line 92, in read_keras }[backend](path, compile, compatibility_mode) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLTF2NetworkReader.py", line 98, in read_keras_tensorflow compatibility_mode=compatibility_mode) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLKerasTensorFlowNetwork.py", line 60, in read model = self._read_internal(path, compile) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLKerasNetwork.py", line 100, in _read_internal return load_model(path, compile=compile) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\engine\saving.py", line 419, in load_model model = _deserialize_model(f, custom_objects, compile) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\engine\saving.py", line 224, in _deserialize_model model_config = json.loads(model_config.decode('utf-8')) AttributeError: 'str' object has no attribute 'decode' 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) 2023-12-25 00:54:16,150 : WARN : Thread-1396 : : PythonKernel : Keras Network Learner : 6:22 : C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-25 00:55:18,299 : ERROR : KNIME-Worker-11-Keras Network Learner 6:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 6:22 : Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[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"](dense_1/Reshape, dense_1/kernel/read)]] [[Node: loss/mul/_219 = _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_1163_loss/mul", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]] 2023-12-25 00:55:18,301 : ERROR : KNIME-Worker-11-Keras Network Learner 6:22 : : Node : Keras Network Learner : 6:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[Node: dense_1/MatMul = MatMul[T=DT_FLOAT, _class=["loc:@training/Adam/gradients/dense_1/MatMul_grad/MatMul_1"], transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/device:GPU:0"](dense_1/Reshape, dense_1/kernel/read)]] [[Node: loss/mul/_219 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_1163_loss/mul", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]] at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-25 01:00:57,783 : WARN : main : : Node : Keras Network Learner : 6:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-25 01:00:59,101 : WARN : main : : Node : Keras Network Learner : 6:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-25 01:01:00,782 : WARN : KNIME-Worker-14-Keras Dense Layer 6:21 : : Node : Keras Network Learner : 6:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-25 01:06:07,879 : WARN : Thread-1447 : : PythonKernel : Keras Network Learner : 6:22 : C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-25 01:06:11,696 : ERROR : KNIME-Worker-13-Keras Network Learner 6:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 6:22 : Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[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/_181, dense_1/kernel/read)]] [[Node: metrics/acc/Mean/_213 = _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_878_metrics/acc/Mean", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]] 2023-12-25 01:06:11,697 : ERROR : KNIME-Worker-13-Keras Network Learner 6:22 : : Node : Keras Network Learner : 6:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: Blas GEMM launch failed : a.shape=(500, 160), b.shape=(160, 160), m=500, n=160, k=160 [[Node: dense_1/MatMul = MatMul[T=DT_FLOAT, _class=["loc:@training/Adam/gradients/dense_1/MatMul_grad/MatMul_1"], transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/device:GPU:0"](_arg_input_1_0_0/_181, dense_1/kernel/read)]] [[Node: metrics/acc/Mean/_213 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_878_metrics/acc/Mean", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]] at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-25 01:07:24,117 : WARN : main : : Node : Keras Network Learner : 6:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-25 01:07:24,943 : WARN : main : : Node : Keras Network Learner : 6:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-25 01:12:26,915 : WARN : KNIME-Worker-15-Keras Network Learner 6:22 : : DLKnimeNetworkValidationInputPreparer : Keras Network Learner : 6:22 : The number of rows of the input validation data table (450000) is not a multiple of the selected validation batch size (32). 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. 2023-12-25 01:12:28,878 : WARN : Thread-1498 : : PythonKernel : Keras Network Learner : 6:22 : C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-25 01:12:32,256 : ERROR : KNIME-Worker-15-Keras Network Learner 6:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 6:22 : Blas GEMM launch failed : a.shape=(32, 160), b.shape=(160, 160), m=32, n=160, k=160 [[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"](dense_1/Reshape, dense_1/kernel/read)]] [[Node: loss/mul/_219 = _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_1163_loss/mul", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]] 2023-12-25 01:12:32,256 : ERROR : KNIME-Worker-15-Keras Network Learner 6:22 : : Node : Keras Network Learner : 6:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: Blas GEMM launch failed : a.shape=(32, 160), b.shape=(160, 160), m=32, n=160, k=160 [[Node: dense_1/MatMul = MatMul[T=DT_FLOAT, _class=["loc:@training/Adam/gradients/dense_1/MatMul_grad/MatMul_1"], transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/device:GPU:0"](dense_1/Reshape, dense_1/kernel/read)]] [[Node: loss/mul/_219 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_1163_loss/mul", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]] at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-25 01:22:38,406 : WARN : KNIME-Worker-16-Keras Network Learner 6:22 : : DLKnimeNetworkValidationInputPreparer : Keras Network Learner : 6:22 : The number of rows of the input validation data table (450000) is not a multiple of the selected validation batch size (32). 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. 2023-12-25 01:22:39,946 : WARN : Thread-1533 : : PythonKernel : Keras Network Learner : 6:22 : C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-25 01:22:43,227 : ERROR : KNIME-Worker-16-Keras Network Learner 6:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 6:22 : Blas GEMM launch failed : a.shape=(32, 160), b.shape=(160, 160), m=32, n=160, k=160 [[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"](dense_1/Reshape, dense_1/kernel/read)]] [[Node: loss/mul/_219 = _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_1163_loss/mul", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]] 2023-12-25 01:22:43,227 : ERROR : KNIME-Worker-16-Keras Network Learner 6:22 : : Node : Keras Network Learner : 6:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: Blas GEMM launch failed : a.shape=(32, 160), b.shape=(160, 160), m=32, n=160, k=160 [[Node: dense_1/MatMul = MatMul[T=DT_FLOAT, _class=["loc:@training/Adam/gradients/dense_1/MatMul_grad/MatMul_1"], transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/device:GPU:0"](dense_1/Reshape, dense_1/kernel/read)]] [[Node: loss/mul/_219 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_1163_loss/mul", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]] at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-25 02:26:08,674 : WARN : KNIME-Worker-18-Keras Network Learner 6:22 : : DLKnimeNetworkValidationInputPreparer : Keras Network Learner : 6:22 : The number of rows of the input validation data table (450000) is not a multiple of the selected validation batch size (32). 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. 2023-12-25 02:26:08,915 : WARN : Thread-1719 : : PythonKernel : Keras Network Learner : 6:22 : C:\Users\ejfer\anaconda3\envs\keras-gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-25 02:26:32,384 : WARN : KNIME-Worker-18-Keras Network Learner 6:22 : : Node : Keras Network Learner : 6:22 : Execution canceled 2023-12-25 02:35:20,930 : WARN : KNIME-Worker-20-Keras Network Learner 6:22 : : DLKnimeNetworkValidationInputPreparer : Keras Network Learner : 6:22 : The number of rows of the input validation data table (450000) is not a multiple of the selected validation batch size (32). 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. 2023-12-25 02:35:21,227 : WARN : Thread-1745 : : PythonKernel : Keras Network Learner : 6:22 : C:\Users\ejfer\anaconda3\envs\keras-gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-25 02:36:23,911 : WARN : KNIME-Worker-20-Keras Network Learner 6:22 : : Node : Keras Network Learner : 6:22 : Execution canceled 2023-12-25 02:43:28,800 : WARN : Thread-1760 : : PythonKernel : Keras Network Learner : 6:22 : C:\Users\ejfer\anaconda3\envs\keras-gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-25 02:43:32,579 : ERROR : KNIME-Worker-22-Keras Network Learner 6:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 6:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_221]] (1) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-25 02:43:32,579 : ERROR : KNIME-Worker-22-Keras Network Learner 6:22 : : Node : Keras Network Learner : 6:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_221]] (1) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-25 02:59:04,684 : WARN : Thread-1784 : : PythonKernel : Keras Network Learner : 6:22 : C:\Users\ejfer\anaconda3\envs\keras-gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-25 02:59:07,617 : ERROR : KNIME-Worker-24-Keras Network Learner 6:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 6:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_219]] (1) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-25 02:59:07,617 : ERROR : KNIME-Worker-24-Keras Network Learner 6:22 : : Node : Keras Network Learner : 6:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_219]] (1) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-25 04:01:03,637 : WARN : Thread-1870 : : PythonKernel : Keras Network Learner : 6:22 : C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-25 04:01:21,297 : WARN : KNIME-Worker-26-Keras Network Learner 6:22 : : Node : Keras Network Learner : 6:22 : Execution canceled 2023-12-25 04:10:13,791 : WARN : Thread-1896 : : PythonKernel : Keras Network Learner : 6:22 : C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-25 04:10:16,984 : ERROR : KNIME-Worker-28-Keras Network Learner 6:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 6:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_221]] (1) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-25 04:10:16,984 : ERROR : KNIME-Worker-28-Keras Network Learner 6:22 : : Node : Keras Network Learner : 6:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_221]] (1) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-25 04:23:24,681 : WARN : Thread-1973 : : PythonKernel : Keras Network Learner : 6:22 : C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-25 04:39:31,547 : WARN : Thread-2017 : : PythonKernel : Keras Network Learner : 6:22 : C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\engine\saving.py:341: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-25 04:40:41,179 : WARN : Thread-2017 : : PythonKernel : Keras Network Learner : 6:22 : C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\utils\data_utils.py:718: UserWarning: An input could not be retrieved. It could be because a worker has died.We do not have any information on the lost sample. 2023-12-25 04:42:37,814 : ERROR : KNIME-Worker-35-Keras Network Learner 6:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 6:22 : [WARN]C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\utils\data_utils.py:718: UserWarning: An input could not be retrieved. It could be because a worker has died.We do not have any information on the lost sample. UserWarning) 2023-12-25 04:42:37,814 : ERROR : KNIME-Worker-35-Keras Network Learner 6:22 : : Node : Keras Network Learner : 6:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: [WARN]C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\utils\data_utils.py:718: UserWarning: An input could not be retrieved. It could be because a worker has died.We do not have any information on the lost sample. UserWarning) at org.knime.dl.python.core.DLPythonAbstractCommands$DLPythonNetworkTrainingTaskHandler.handleSuccessMessage(DLPythonAbstractCommands.java:1007) at org.knime.dl.python.core.DLPythonAbstractCommands$DLPythonNetworkTrainingTaskHandler.handleSuccessMessage(DLPythonAbstractCommands.java:1) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:86) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-25 04:52:58,011 : WARN : Thread-2092 : : PythonKernel : Keras Network Learner : 6:22 : C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-25 04:53:01,261 : ERROR : KNIME-Worker-38-Keras Network Learner 6:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 6:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_219]] (1) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-25 04:53:01,262 : ERROR : KNIME-Worker-38-Keras Network Learner 6:22 : : Node : Keras Network Learner : 6:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_219]] (1) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-25 04:59:21,754 : WARN : Thread-2127 : : PythonKernel : Keras Network Learner : 6:22 : C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-25 04:59:24,788 : ERROR : KNIME-Worker-41-Keras Network Learner 6:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 6:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_219]] (1) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-25 04:59:24,788 : ERROR : KNIME-Worker-41-Keras Network Learner 6:22 : : Node : Keras Network Learner : 6:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_219]] (1) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-25 05:08:50,583 : ERROR : KNIME-Worker-44-Keras Network Learner 6:22 : : Node : Keras Network Learner : 6:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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 2023-12-25 05:11:56,586 : ERROR : KNIME-Worker-46-Keras Network Learner 6:22 : : Node : Keras Network Learner : 6:22 : 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. Further output: Using TensorFlow backend. 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. Further output: Using TensorFlow backend. 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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. Further output: Using TensorFlow backend. 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. Further output: Using TensorFlow backend. 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. Further output: Using TensorFlow backend. 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 2023-12-25 05:17:24,104 : WARN : Thread-2206 : : PythonKernel : Keras Network Learner : 6:22 : C:\Users\ejfer\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. 2023-12-25 05:29:38,648 : WARN : Thread-2221 : : PythonKernel : Keras Network Learner : 6:22 : C:\Users\ejfer\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. 2023-12-25 05:37:10,668 : WARN : Thread-2236 : : PythonKernel : Keras Network Learner : 6:22 : C:\Users\ejfer\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. 2023-12-25 05:45:44,796 : WARN : Thread-2251 : : PythonKernel : Keras Network Learner : 6:22 : C:\Users\ejfer\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. 2023-12-25 05:54:35,484 : WARN : Thread-2266 : : PythonKernel : Keras Network Learner : 6:22 : C:\Users\ejfer\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. 2023-12-25 06:04:20,681 : WARN : Thread-2281 : : PythonKernel : Keras Network Learner : 6:22 : C:\Users\ejfer\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. 2023-12-25 06:12:07,405 : WARN : Thread-2296 : : PythonKernel : Keras Network Learner : 6:22 : C:\Users\ejfer\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. 2023-12-25 06:19:36,512 : WARN : Thread-2311 : : PythonKernel : Keras Network Learner : 6:22 : C:\Users\ejfer\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. 2023-12-25 06:29:17,055 : WARN : Thread-2326 : : PythonKernel : Keras Network Learner : 6:22 : C:\Users\ejfer\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. 2023-12-25 23:43:33,209 : WARN : Thread-413 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\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. 2023-12-25 23:43:51,529 : ERROR : KNIME-Worker-1-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : java.lang.Exception: Failed to receive message from Python or forward received message. Cause: Connection reset 2023-12-25 23:43:51,530 : ERROR : KNIME-Worker-1-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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:546) 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] 2023-12-26 00:11:07,517 : WARN : Thread-539 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\KerasTF37yml\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-26 00:11:12,128 : ERROR : KNIME-Worker-3-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_219]] (1) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-26 00:11:12,128 : ERROR : KNIME-Worker-3-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_219]] (1) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-26 00:15:22,702 : WARN : Thread-626 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\KerasTF37yml\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-26 00:15:25,748 : ERROR : KNIME-Worker-7-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_221]] (1) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-26 00:15:25,748 : ERROR : KNIME-Worker-7-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_221]] (1) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-26 00:23:38,461 : WARN : Thread-659 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\KerasTF37yml\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-26 00:23:41,048 : ERROR : KNIME-Worker-8-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : Error when checking target: expected dense_7 to have shape (1, 1) but got array with shape (1, 3) 2023-12-26 00:23:41,048 : ERROR : KNIME-Worker-8-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: Error when checking target: expected dense_7 to have shape (1, 1) but got array with shape (1, 3) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-26 00:48:42,060 : WARN : Thread-743 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\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. 2023-12-26 01:05:35,452 : WARN : Thread-787 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\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. 2023-12-26 01:05:38,584 : ERROR : KNIME-Worker-12-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_221]] (1) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-26 01:05:38,584 : ERROR : KNIME-Worker-12-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_221]] (1) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-26 01:21:09,860 : WARN : Thread-842 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\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. 2023-12-26 01:21:12,969 : ERROR : KNIME-Worker-14-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_221]] (1) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-26 01:21:12,969 : ERROR : KNIME-Worker-14-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_221]] (1) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-26 01:27:16,619 : WARN : Thread-905 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\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. 2023-12-26 01:27:19,664 : ERROR : KNIME-Worker-16-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_219]] (1) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-26 01:27:19,664 : ERROR : KNIME-Worker-16-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_219]] (1) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-26 01:30:24,719 : WARN : Thread-943 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\KERASCPU\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-26 01:38:55,100 : WARN : Thread-1010 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\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. 2023-12-26 01:38:58,133 : ERROR : KNIME-Worker-19-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_221]] (1) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-26 01:38:58,133 : ERROR : KNIME-Worker-19-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_221]] (1) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-26 01:44:23,175 : WARN : Thread-1043 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\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. 2023-12-26 01:44:26,216 : ERROR : KNIME-Worker-21-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_221]] (1) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-26 01:44:26,217 : ERROR : KNIME-Worker-21-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_221]] (1) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-26 01:49:42,926 : WARN : Thread-1074 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\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. 2023-12-26 01:58:00,336 : WARN : KNIME-Worker-23-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : Execution canceled 2023-12-26 02:00:49,394 : WARN : Thread-1089 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\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. 2023-12-26 02:00:52,454 : ERROR : KNIME-Worker-25-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : Blas GEMM launch failed : a.shape=(8, 15), b.shape=(8, 3), m=15, n=3, k=8 [[{{node training/Adam/gradients/dense_7/MatMul_grad/MatMul_1}}]] 2023-12-26 02:00:52,455 : ERROR : KNIME-Worker-25-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: Blas GEMM launch failed : a.shape=(8, 15), b.shape=(8, 3), m=15, n=3, k=8 [[{{node training/Adam/gradients/dense_7/MatMul_grad/MatMul_1}}]] at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-26 02:13:15,381 : WARN : Thread-1113 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\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. 2023-12-26 02:13:18,503 : ERROR : KNIME-Worker-26-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : Blas GEMM launch failed : a.shape=(2, 15), b.shape=(2, 3), m=15, n=3, k=2 [[{{node training/Adam/gradients/dense_7/MatMul_grad/MatMul_1}}]] 2023-12-26 02:13:18,504 : ERROR : KNIME-Worker-26-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: Blas GEMM launch failed : a.shape=(2, 15), b.shape=(2, 3), m=15, n=3, k=2 [[{{node training/Adam/gradients/dense_7/MatMul_grad/MatMul_1}}]] at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-26 02:25:28,868 : WARN : Thread-1191 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\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. 2023-12-26 02:25:31,924 : ERROR : KNIME-Worker-31-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : Blas GEMM launch failed : a.shape=(2, 15), b.shape=(2, 3), m=15, n=3, k=2 [[{{node training/Adam/gradients/dense_7/MatMul_grad/MatMul_1}}]] 2023-12-26 02:25:31,924 : ERROR : KNIME-Worker-31-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: Blas GEMM launch failed : a.shape=(2, 15), b.shape=(2, 3), m=15, n=3, k=2 [[{{node training/Adam/gradients/dense_7/MatMul_grad/MatMul_1}}]] at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-26 02:26:19,490 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-26 02:26:36,321 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-26 02:26:38,537 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-26 02:26:40,374 : WARN : KNIME-Worker-31-Keras Dense Layer 3:21 : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-26 02:29:36,687 : WARN : Thread-1260 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\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. 2023-12-26 02:29:39,727 : ERROR : KNIME-Worker-32-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : Blas GEMM launch failed : a.shape=(2, 15), b.shape=(2, 3), m=15, n=3, k=2 [[{{node training/Adam/gradients/dense_7/MatMul_grad/MatMul_1}}]] 2023-12-26 02:29:39,727 : ERROR : KNIME-Worker-32-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: Blas GEMM launch failed : a.shape=(2, 15), b.shape=(2, 3), m=15, n=3, k=2 [[{{node training/Adam/gradients/dense_7/MatMul_grad/MatMul_1}}]] at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-26 02:37:00,667 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-26 02:37:01,460 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-26 02:37:15,817 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-26 02:37:16,781 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-26 02:37:20,700 : WARN : KNIME-Worker-35-Keras Dense Layer 3:21 : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-26 03:06:07,434 : WARN : Thread-1456 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\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. 2023-12-26 03:06:30,274 : WARN : main : : WrappedNodeDialog : Keras Network Learner : 3:22 : 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:2240) at org.knime.core.node.workflow.NodeContainer.applySettingsFromDialog(NodeContainer.java:1141) 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:4256) at org.eclipse.swt.widgets.Widget.sendEvent(Widget.java:1066) at org.eclipse.swt.widgets.Display.runDeferredEvents(Display.java:4054) at org.eclipse.swt.widgets.Display.readAndDispatch(Display.java:3642) 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:958) at org.knime.workbench.editor2.editparts.NodeContainerEditPart.openNodeDialog(NodeContainerEditPart.java:865) at org.knime.ui.java.api.NodeAPI.openNodeDialog(NodeAPI.java:97) at jdk.internal.reflect.GeneratedMethodAccessor178.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.knime.ui.java.api.DesktopAPI.invokeMethod(DesktopAPI.java:167) at org.knime.ui.java.api.DesktopAPI.lambda$1(DesktopAPI.java:138) at org.eclipse.swt.widgets.RunnableLock.run(RunnableLock.java:40) at org.eclipse.swt.widgets.Synchronizer.runAsyncMessages(Synchronizer.java:132) at org.eclipse.swt.widgets.Display.runAsyncMessages(Display.java:4029) at org.eclipse.swt.widgets.Display.readAndDispatch(Display.java:3645) at org.eclipse.e4.ui.internal.workbench.swt.PartRenderingEngine$5.run(PartRenderingEngine.java:1155) 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:643) at org.eclipse.core.databinding.observable.Realm.runWithDefault(Realm.java:338) at org.eclipse.ui.internal.Workbench.createAndRunWorkbench(Workbench.java:550) at org.eclipse.ui.PlatformUI.createAndRunWorkbench(PlatformUI.java:171) at org.knime.product.rcp.KNIMEApplication.start(KNIMEApplication.java:204) at org.eclipse.equinox.internal.app.EclipseAppHandle.run(EclipseAppHandle.java:203) at org.eclipse.core.runtime.internal.adaptor.EclipseAppLauncher.runApplication(EclipseAppLauncher.java:136) at org.eclipse.core.runtime.internal.adaptor.EclipseAppLauncher.start(EclipseAppLauncher.java:104) at org.eclipse.core.runtime.adaptor.EclipseStarter.run(EclipseStarter.java:402) 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:659) at org.eclipse.equinox.launcher.Main.basicRun(Main.java:596) at org.eclipse.equinox.launcher.Main.run(Main.java:1467) 2023-12-26 03:06:39,518 : WARN : KNIME-Worker-39-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : Execution canceled 2023-12-26 03:07:03,750 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-26 03:07:05,364 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-26 03:07:08,052 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-26 03:07:22,191 : WARN : KNIME-Worker-39-Keras Network Learner 3:22 : : DLKnimeNetworkTrainingInputPreparer : Keras Network Learner : 3:22 : The number of rows of the input training data table (525000) is not a multiple of the selected training batch size (32). 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. 2023-12-26 03:07:22,191 : WARN : KNIME-Worker-39-Keras Network Learner 3:22 : : DLKnimeNetworkValidationInputPreparer : Keras Network Learner : 3:22 : The number of rows of the input validation data table (112500) is not a multiple of the selected validation batch size (32). 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. 2023-12-26 03:07:22,469 : WARN : Thread-1505 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\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. 2023-12-26 03:07:49,853 : WARN : KNIME-Worker-39-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : Execution canceled 2023-12-26 03:09:42,388 : WARN : KNIME-Worker-42-Keras Network Learner 3:22 : : DLKnimeNetworkTrainingInputPreparer : Keras Network Learner : 3:22 : The number of rows of the input training data table (525000) is not a multiple of the selected training batch size (32). 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. 2023-12-26 03:09:42,389 : WARN : KNIME-Worker-42-Keras Network Learner 3:22 : : DLKnimeNetworkValidationInputPreparer : Keras Network Learner : 3:22 : The number of rows of the input validation data table (112500) is not a multiple of the selected validation batch size (32). 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. 2023-12-26 03:09:42,671 : WARN : Thread-1509 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\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. 2023-12-26 03:09:56,663 : WARN : KNIME-Worker-42-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : Execution canceled 2023-12-26 03:12:15,988 : WARN : KNIME-Worker-45-Keras Network Learner 3:22 : : DLKnimeNetworkTrainingInputPreparer : Keras Network Learner : 3:22 : The number of rows of the input training data table (525000) is not a multiple of the selected training batch size (32). 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. 2023-12-26 03:12:15,988 : WARN : KNIME-Worker-45-Keras Network Learner 3:22 : : DLKnimeNetworkValidationInputPreparer : Keras Network Learner : 3:22 : The number of rows of the input validation data table (112500) is not a multiple of the selected validation batch size (32). 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. 2023-12-26 03:12:17,249 : WARN : Thread-1542 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\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. 2023-12-26 03:12:20,538 : ERROR : KNIME-Worker-45-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(32, 160), b.shape=(160, 160), m=32, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_199]] (1) Internal: Blas GEMM launch failed : a.shape=(32, 160), b.shape=(160, 160), m=32, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-26 03:12:20,538 : ERROR : KNIME-Worker-45-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(32, 160), b.shape=(160, 160), m=32, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_199]] (1) Internal: Blas GEMM launch failed : a.shape=(32, 160), b.shape=(160, 160), m=32, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 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) 2023-12-26 03:17:50,671 : WARN : KNIME-Worker-48-Keras Network Learner 3:22 : : DLKnimeNetworkTrainingInputPreparer : Keras Network Learner : 3:22 : The number of rows of the input training data table (525000) is not a multiple of the selected training batch size (32). 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. 2023-12-26 03:17:50,672 : WARN : KNIME-Worker-48-Keras Network Learner 3:22 : : DLKnimeNetworkValidationInputPreparer : Keras Network Learner : 3:22 : The number of rows of the input validation data table (112500) is not a multiple of the selected validation batch size (32). 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. 2023-12-26 03:17:52,007 : WARN : Thread-1566 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\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. 2023-12-26 03:17:55,154 : ERROR : KNIME-Worker-48-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(32, 160), b.shape=(160, 160), m=32, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_199]] (1) Internal: Blas GEMM launch failed : a.shape=(32, 160), b.shape=(160, 160), m=32, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-26 03:17:55,154 : ERROR : KNIME-Worker-48-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(32, 160), b.shape=(160, 160), m=32, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_199]] (1) Internal: Blas GEMM launch failed : a.shape=(32, 160), b.shape=(160, 160), m=32, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 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) 2023-12-26 03:19:07,682 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-26 03:19:09,088 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-26 03:19:09,555 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-26 03:19:11,285 : WARN : KNIME-Worker-50-Keras Dense Layer 3:21 : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-26 03:19:27,411 : WARN : Thread-1615 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\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. 2023-12-26 03:19:30,400 : ERROR : KNIME-Worker-48-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(25, 160), b.shape=(160, 160), m=25, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_199]] (1) Internal: Blas GEMM launch failed : a.shape=(25, 160), b.shape=(160, 160), m=25, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-26 03:19:30,400 : ERROR : KNIME-Worker-48-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(25, 160), b.shape=(160, 160), m=25, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_199]] (1) Internal: Blas GEMM launch failed : a.shape=(25, 160), b.shape=(160, 160), m=25, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 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) 2023-12-26 03:23:35,583 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-26 03:23:36,424 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-26 03:23:37,808 : WARN : KNIME-Worker-52-Keras Dense Layer 3:21 : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-26 03:23:52,113 : WARN : Thread-1673 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\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. 2023-12-26 03:24:07,827 : WARN : KNIME-Worker-53-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : Execution canceled 2023-12-26 03:24:21,131 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-26 03:24:22,613 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-26 03:24:25,368 : WARN : KNIME-Worker-52-Keras Dense Layer 3:21 : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-26 03:24:30,122 : WARN : main : : WrappedNodeDialog : Keras Network Learner : 3:22 : failed to apply settings: Selected input columns do not provide enough elements (160) to populate all neurons (4000) of network input 'input_1_0:0'. Try adding some columns to the selection. org.knime.core.node.InvalidSettingsException: Selected input columns do not provide enough elements (160) to populate all neurons (4000) of network input 'input_1_0:0'. Try adding some columns to the selection. at org.knime.dl.base.nodes.DLConfigurationUtility.inputMatchesTensorSpec(DLConfigurationUtility.java:198) at org.knime.dl.base.nodes.DLInputPanel.saveToSettings(DLInputPanel.java:174) at org.knime.dl.base.nodes.DLInputsPanel.saveSettingsTo(DLInputsPanel.java:111) at org.knime.dl.base.nodes.DefaultDLNodeDialogPane.saveSettingsTo(DefaultDLNodeDialogPane.java:230) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeDialog.saveSettingsTo(DLKerasLearnerNodeDialog.java:162) at org.knime.core.node.NodeDialogPane.internalSaveSettingsTo(NodeDialogPane.java:539) at org.knime.core.node.NodeDialogPane$4.run(NodeDialogPane.java:778) 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) 2023-12-26 03:24:40,799 : WARN : main : : WrappedNodeDialog : Keras Network Learner : 3:22 : failed to apply settings: Selected input columns do not provide enough elements (160) to populate all neurons (4000) of network input 'input_1_0:0'. Try adding some columns to the selection. org.knime.core.node.InvalidSettingsException: Selected input columns do not provide enough elements (160) to populate all neurons (4000) of network input 'input_1_0:0'. Try adding some columns to the selection. at org.knime.dl.base.nodes.DLConfigurationUtility.inputMatchesTensorSpec(DLConfigurationUtility.java:198) at org.knime.dl.base.nodes.DLInputPanel.saveToSettings(DLInputPanel.java:174) at org.knime.dl.base.nodes.DLInputsPanel.saveSettingsTo(DLInputsPanel.java:111) at org.knime.dl.base.nodes.DefaultDLNodeDialogPane.saveSettingsTo(DefaultDLNodeDialogPane.java:230) at org.knime.dl.keras.base.nodes.learner.DLKerasLearnerNodeDialog.saveSettingsTo(DLKerasLearnerNodeDialog.java:162) at org.knime.core.node.NodeDialogPane.internalSaveSettingsTo(NodeDialogPane.java:539) at org.knime.core.node.NodeDialogPane$4.run(NodeDialogPane.java:778) 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) 2023-12-26 03:24:56,075 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-26 03:24:56,824 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-26 03:25:07,342 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-26 03:25:08,038 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-26 03:25:09,222 : WARN : KNIME-Worker-51-Keras Dense Layer 3:21 : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-26 03:25:22,882 : WARN : Thread-1740 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\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. 2023-12-26 03:25:26,004 : ERROR : KNIME-Worker-52-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : Blas GEMM launch failed : a.shape=(2, 15), b.shape=(2, 3), m=15, n=3, k=2 [[{{node training/Adam/gradients/dense_7/MatMul_grad/MatMul_1}}]] 2023-12-26 03:25:26,004 : ERROR : KNIME-Worker-52-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: Blas GEMM launch failed : a.shape=(2, 15), b.shape=(2, 3), m=15, n=3, k=2 [[{{node training/Adam/gradients/dense_7/MatMul_grad/MatMul_1}}]] at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-26 05:10:56,971 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : Execute failed: An error occurred while creating the Keras network from its layer specifications. Details: type object 'object' has no attribute 'dtype' Traceback (most recent call last): File "", line 5, in File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.python_5.2.0.v202310301554\py\DLPythonNetworkSpecToDataFrameConverter.py", line 93, in get_layer_data_specs_as_data_frames input_specs = extractor.input_specs_to_data_frame() File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.python_5.2.0.v202310301554\py\DLPythonNetworkSpecToDataFrameConverter.py", line 57, in input_specs_to_data_frame return self.__layer_data_specs_to_data_frame(self._network_spec.input_specs) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.python_5.2.0.v202310301554\py\DLPythonNetworkSpecToDataFrameConverter.py", line 79, in __layer_data_specs_to_data_frame columns=('id', 'name', 'batch_size', 'shape', 'type', 'dimension_order')) File "C:\Users\ejfer\anaconda3\envs\Kerasgpu\lib\site-packages\pandas\core\frame.py", line 348, in __init__ mgr = self._init_dict(data, index, columns, dtype=dtype) File "C:\Users\ejfer\anaconda3\envs\Kerasgpu\lib\site-packages\pandas\core\frame.py", line 451, in _init_dict nan_dtype) File "C:\Users\ejfer\anaconda3\envs\Kerasgpu\lib\site-packages\pandas\core\dtypes\cast.py", line 1196, in construct_1d_arraylike_from_scalar dtype = dtype.dtype AttributeError: type object 'object' has no attribute 'dtype' java.io.IOException: An error occurred while creating the Keras network from its layer specifications. Details: type object 'object' has no attribute 'dtype' Traceback (most recent call last): File "", line 5, in File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.python_5.2.0.v202310301554\py\DLPythonNetworkSpecToDataFrameConverter.py", line 93, in get_layer_data_specs_as_data_frames input_specs = extractor.input_specs_to_data_frame() File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.python_5.2.0.v202310301554\py\DLPythonNetworkSpecToDataFrameConverter.py", line 57, in input_specs_to_data_frame return self.__layer_data_specs_to_data_frame(self._network_spec.input_specs) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.python_5.2.0.v202310301554\py\DLPythonNetworkSpecToDataFrameConverter.py", line 79, in __layer_data_specs_to_data_frame columns=('id', 'name', 'batch_size', 'shape', 'type', 'dimension_order')) File "C:\Users\ejfer\anaconda3\envs\Kerasgpu\lib\site-packages\pandas\core\frame.py", line 348, in __init__ mgr = self._init_dict(data, index, columns, dtype=dtype) File "C:\Users\ejfer\anaconda3\envs\Kerasgpu\lib\site-packages\pandas\core\frame.py", line 451, in _init_dict nan_dtype) File "C:\Users\ejfer\anaconda3\envs\Kerasgpu\lib\site-packages\pandas\core\dtypes\cast.py", line 1196, in construct_1d_arraylike_from_scalar dtype = dtype.dtype AttributeError: type object 'object' has no attribute 'dtype' 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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: type object 'object' has no attribute 'dtype' Traceback (most recent call last): File "", line 5, in File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.python_5.2.0.v202310301554\py\DLPythonNetworkSpecToDataFrameConverter.py", line 93, in get_layer_data_specs_as_data_frames input_specs = extractor.input_specs_to_data_frame() File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.python_5.2.0.v202310301554\py\DLPythonNetworkSpecToDataFrameConverter.py", line 57, in input_specs_to_data_frame return self.__layer_data_specs_to_data_frame(self._network_spec.input_specs) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.python_5.2.0.v202310301554\py\DLPythonNetworkSpecToDataFrameConverter.py", line 79, in __layer_data_specs_to_data_frame columns=('id', 'name', 'batch_size', 'shape', 'type', 'dimension_order')) File "C:\Users\ejfer\anaconda3\envs\Kerasgpu\lib\site-packages\pandas\core\frame.py", line 348, in __init__ mgr = self._init_dict(data, index, columns, dtype=dtype) File "C:\Users\ejfer\anaconda3\envs\Kerasgpu\lib\site-packages\pandas\core\frame.py", line 451, in _init_dict nan_dtype) File "C:\Users\ejfer\anaconda3\envs\Kerasgpu\lib\site-packages\pandas\core\dtypes\cast.py", line 1196, in construct_1d_arraylike_from_scalar dtype = dtype.dtype AttributeError: type object 'object' has no attribute 'dtype' 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) 2023-12-26 05:32:30,020 : WARN : Thread-446 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\keras-gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-26 05:32:33,522 : ERROR : KNIME-Worker-2-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_221]] (1) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-26 05:32:33,522 : ERROR : KNIME-Worker-2-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_221]] (1) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-26 05:40:53,597 : WARN : Thread-491 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\keras-gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-26 05:40:56,775 : ERROR : KNIME-Worker-4-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_219]] (1) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-26 05:40:56,775 : ERROR : KNIME-Worker-4-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_219]] (1) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-26 05:47:09,264 : WARN : Thread-529 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\keras-gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-26 05:47:12,563 : ERROR : KNIME-Worker-6-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_219]] (1) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-26 05:47:12,563 : ERROR : KNIME-Worker-6-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] [[loss/mul/_219]] (1) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-26 05:52:47,921 : WARN : Thread-564 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\keras-gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-26 05:52:51,133 : ERROR : KNIME-Worker-8-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_221]] (1) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-26 05:52:51,133 : ERROR : KNIME-Worker-8-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_221]] (1) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-26 06:12:14,933 : WARN : Thread-599 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\keras-gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-26 06:12:18,077 : ERROR : KNIME-Worker-10-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_221]] (1) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-26 06:12:18,077 : ERROR : KNIME-Worker-10-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_221]] (1) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 160), m=250, n=160, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-26 06:15:39,606 : WARN : Thread-630 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\keras-gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-26 06:15:42,785 : ERROR : KNIME-Worker-10-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 150), m=250, n=150, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_221]] (1) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 150), m=250, n=150, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-26 06:15:42,785 : ERROR : KNIME-Worker-10-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 150), m=250, n=150, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_221]] (1) Internal: Blas GEMM launch failed : a.shape=(250, 160), b.shape=(160, 150), m=250, n=150, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-26 06:16:38,748 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-26 06:16:39,680 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-26 06:19:17,079 : WARN : Thread-688 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\keras-gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-26 06:19:20,178 : ERROR : KNIME-Worker-13-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : Blas GEMM launch failed : a.shape=(4, 15), b.shape=(4, 3), m=15, n=3, k=4 [[{{node training/Adam/gradients/dense_7/MatMul_grad/MatMul_1}}]] 2023-12-26 06:19:20,179 : ERROR : KNIME-Worker-13-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: Blas GEMM launch failed : a.shape=(4, 15), b.shape=(4, 3), m=15, n=3, k=4 [[{{node training/Adam/gradients/dense_7/MatMul_grad/MatMul_1}}]] at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-26 06:28:48,745 : WARN : Thread-723 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\keras-gpu\lib\site-packages\keras\engine\saving.py:341: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-26 06:28:51,997 : ERROR : KNIME-Worker-14-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : Blas GEMM launch failed : a.shape=(4, 15), b.shape=(4, 3), m=15, n=3, k=4 [[{{node training/Adam/gradients/dense_7/MatMul_grad/MatMul_1}}]] 2023-12-26 06:28:51,998 : ERROR : KNIME-Worker-14-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: Blas GEMM launch failed : a.shape=(4, 15), b.shape=(4, 3), m=15, n=3, k=4 [[{{node training/Adam/gradients/dense_7/MatMul_grad/MatMul_1}}]] at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-26 06:37:35,451 : WARN : Thread-787 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\kerasgpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-26 06:37:59,289 : WARN : KNIME-Worker-16-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : Execution canceled 2023-12-26 06:50:18,519 : WARN : Thread-882 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-26 06:51:12,007 : WARN : KNIME-Worker-18-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : Execution canceled 2023-12-26 06:59:42,942 : WARN : Thread-908 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-26 07:00:42,276 : WARN : KNIME-Worker-20-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : Execution canceled 2023-12-26 07:05:29,910 : WARN : Thread-932 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-26 07:05:33,260 : ERROR : KNIME-Worker-22-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : Blas GEMM launch failed : a.shape=(4, 15), b.shape=(4, 3), m=15, n=3, k=4 [[{{node training/Adam/gradients/dense_7/MatMul_grad/MatMul_1}}]] 2023-12-26 07:05:33,261 : ERROR : KNIME-Worker-22-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: Blas GEMM launch failed : a.shape=(4, 15), b.shape=(4, 3), m=15, n=3, k=4 [[{{node training/Adam/gradients/dense_7/MatMul_grad/MatMul_1}}]] at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-26 17:10:43,505 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. 2023-12-26 17:31:24,707 : ERROR : KNIME-Worker-1-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : Cannot invoke "org.knime.core.node.BufferedDataTable.getOwner()" because "table" is null 2023-12-26 17:31:26,797 : WARN : KNIME-Worker-1-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : Execution canceled 2023-12-26 17:33:05,552 : WARN : KNIME-Worker-3-Partitioning 3:8 : : Node : Partitioning : 3:8 : Execution canceled 2023-12-26 17:35:11,162 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. 2023-12-26 17:36:25,306 : WARN : comm-pool-thread-1 : : Node : Keras Network Learner : 3:22 : Selected input columns do not provide enough elements (80) to populate all neurons (160) of network input 'input_1_0:0'. Try adding some columns to the selection. 2023-12-26 17:36:44,486 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-26 17:36:45,827 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-26 17:38:01,837 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-26 17:38:09,571 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-26 17:38:10,191 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-26 17:38:34,073 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-26 17:38:36,835 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-26 17:38:56,740 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-26 17:38:57,394 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-26 17:39:12,990 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-26 17:39:13,673 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-26 17:39:20,298 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-26 17:39:20,771 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-26 17:39:25,358 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-26 17:49:38,321 : WARN : KNIME-Worker-6-Keras Network Learner 3:22 : : DLKerasAbstractCommands : Keras Network Learner : 3:22 : Couldn't load the model with the training configuration. See log for details. Trying to load it uncompiled. org.knime.python2.kernel.PythonIOException: 'str' object has no attribute 'decode' Traceback (most recent call last): File "", line 3, in File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLTF2NetworkReader.py", line 126, in read return read_keras(self.backend, path, compile, compatibility_mode) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLTF2NetworkReader.py", line 92, in read_keras }[backend](path, compile, compatibility_mode) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLTF2NetworkReader.py", line 98, in read_keras_tensorflow compatibility_mode=compatibility_mode) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLKerasTensorFlowNetwork.py", line 60, in read model = self._read_internal(path, compile) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLKerasNetwork.py", line 100, in _read_internal return load_model(path, compile=compile) File "C:\Users\ejfer\anaconda3\envs\keras_gpu36\lib\site-packages\keras\engine\saving.py", line 419, in load_model model = _deserialize_model(f, custom_objects, compile) File "C:\Users\ejfer\anaconda3\envs\keras_gpu36\lib\site-packages\keras\engine\saving.py", line 224, in _deserialize_model model_config = json.loads(model_config.decode('utf-8')) AttributeError: 'str' object has no attribute 'decode' 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) Caused by: Traceback (most recent call last): File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\messaging\RequestHandlers.py", line 96, in _handle_custom_message response = self._respond(message, response_message_id, workspace) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\messaging\RequestHandlers.py", line 379, in _respond output, error = workspace.execute(source_code, request.id) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\PythonKernelBase.py", line 328, in execute exec(source_code, self._exec_env, self._exec_env) File "", line 3, in File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLTF2NetworkReader.py", line 126, in read return read_keras(self.backend, path, compile, compatibility_mode) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLTF2NetworkReader.py", line 92, in read_keras }[backend](path, compile, compatibility_mode) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLTF2NetworkReader.py", line 98, in read_keras_tensorflow compatibility_mode=compatibility_mode) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLKerasTensorFlowNetwork.py", line 60, in read model = self._read_internal(path, compile) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLKerasNetwork.py", line 100, in _read_internal return load_model(path, compile=compile) File "C:\Users\ejfer\anaconda3\envs\keras_gpu36\lib\site-packages\keras\engine\saving.py", line 419, in load_model model = _deserialize_model(f, custom_objects, compile) File "C:\Users\ejfer\anaconda3\envs\keras_gpu36\lib\site-packages\keras\engine\saving.py", line 224, in _deserialize_model model_config = json.loads(model_config.decode('utf-8')) AttributeError: 'str' object has no attribute 'decode' 2023-12-26 17:49:40,375 : ERROR : KNIME-Worker-6-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : An error occurred while communicating with Python (while reading in the Keras network). 2023-12-26 17:49:40,376 : ERROR : KNIME-Worker-6-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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: An error occurred while communicating with Python (while reading in the Keras network). at org.knime.dl.keras.core.DLKerasAbstractNetworkLoader.loadInternal(DLKerasAbstractNetworkLoader.java:177) at org.knime.dl.keras.core.DLKerasAbstractNetworkLoader.load(DLKerasAbstractNetworkLoader.java:130) at org.knime.dl.keras.core.DLKerasAbstractNetworkLoader.load(DLKerasAbstractNetworkLoader.java:1) at org.knime.dl.python.core.training.DLPythonAbstractNetworkTrainingSession.trainInternal(DLPythonAbstractNetworkTrainingSession.java:190) 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 Caused by: org.knime.python2.kernel.PythonIOException: 'str' object has no attribute 'decode' Traceback (most recent call last): File "", line 3, in File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLTF2NetworkReader.py", line 126, in read return read_keras(self.backend, path, compile, compatibility_mode) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLTF2NetworkReader.py", line 92, in read_keras }[backend](path, compile, compatibility_mode) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLTF2NetworkReader.py", line 98, in read_keras_tensorflow compatibility_mode=compatibility_mode) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLKerasTensorFlowNetwork.py", line 60, in read model = self._read_internal(path, compile) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLKerasNetwork.py", line 100, in _read_internal return load_model(path, compile=compile) File "C:\Users\ejfer\anaconda3\envs\keras_gpu36\lib\site-packages\keras\engine\saving.py", line 419, in load_model model = _deserialize_model(f, custom_objects, compile) File "C:\Users\ejfer\anaconda3\envs\keras_gpu36\lib\site-packages\keras\engine\saving.py", line 224, in _deserialize_model model_config = json.loads(model_config.decode('utf-8')) AttributeError: 'str' object has no attribute 'decode' 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) 2023-12-26 17:52:10,949 : WARN : Thread-809 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\keras_gpu36\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-26 17:52:14,720 : ERROR : KNIME-Worker-7-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : Blas GEMM launch failed : a.shape=(4, 15), b.shape=(4, 3), m=15, n=3, k=4 [[{{node training/Adam/gradients/dense_7/MatMul_grad/MatMul_1}}]] 2023-12-26 17:52:14,721 : ERROR : KNIME-Worker-7-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: Blas GEMM launch failed : a.shape=(4, 15), b.shape=(4, 3), m=15, n=3, k=4 [[{{node training/Adam/gradients/dense_7/MatMul_grad/MatMul_1}}]] at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-26 18:06:46,664 : WARN : Thread-844 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\keras_gpu36\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-26 18:06:49,715 : ERROR : KNIME-Worker-10-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : Blas GEMM launch failed : a.shape=(4, 15), b.shape=(4, 3), m=15, n=3, k=4 [[{{node training/Adam/gradients/dense_7/MatMul_grad/MatMul_1}}]] 2023-12-26 18:06:49,715 : ERROR : KNIME-Worker-10-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: Blas GEMM launch failed : a.shape=(4, 15), b.shape=(4, 3), m=15, n=3, k=4 [[{{node training/Adam/gradients/dense_7/MatMul_grad/MatMul_1}}]] at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-26 18:08:03,622 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-26 18:08:04,306 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-26 18:08:05,302 : WARN : KNIME-Worker-12-Keras Dense Layer 3:21 : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-26 18:08:18,251 : WARN : Thread-884 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\keras_gpu36\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-26 18:13:06,808 : WARN : KNIME-Worker-10-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : Execution canceled 2023-12-26 18:14:17,847 : WARN : Thread-917 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\keras_gpu36\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-26 18:30:49,193 : WARN : Thread-971 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\KERASCPU\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-26 19:39:30,581 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-26 19:39:31,365 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-26 19:40:10,463 : WARN : Thread-1069 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\KERASCPU\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-26 19:41:31,664 : WARN : Thread-1125 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\keras_gpu36\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-26 19:41:35,220 : ERROR : KNIME-Worker-18-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : Blas GEMM launch failed : a.shape=(16, 15), b.shape=(16, 3), m=15, n=3, k=16 [[{{node training/Adam/gradients/dense_7/MatMul_grad/MatMul_1}}]] 2023-12-26 19:41:35,221 : ERROR : KNIME-Worker-18-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: Blas GEMM launch failed : a.shape=(16, 15), b.shape=(16, 3), m=15, n=3, k=16 [[{{node training/Adam/gradients/dense_7/MatMul_grad/MatMul_1}}]] at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-26 19:42:45,922 : WARN : Thread-1147 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\keras_gpu36\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-26 19:42:49,003 : ERROR : KNIME-Worker-19-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : Blas GEMM launch failed : a.shape=(5, 15), b.shape=(5, 3), m=15, n=3, k=5 [[{{node training/Adam/gradients/dense_7/MatMul_grad/MatMul_1}}]] 2023-12-26 19:42:49,003 : ERROR : KNIME-Worker-19-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: Blas GEMM launch failed : a.shape=(5, 15), b.shape=(5, 3), m=15, n=3, k=5 [[{{node training/Adam/gradients/dense_7/MatMul_grad/MatMul_1}}]] at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-26 19:44:13,690 : WARN : Thread-1192 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-26 19:46:44,182 : WARN : Thread-1239 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\KERASCPU\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-26 19:53:02,514 : WARN : Thread-1283 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\KERASCPU\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-26 19:57:48,573 : WARN : Thread-1319 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-26 19:57:51,541 : ERROR : KNIME-Worker-25-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : Blas GEMM launch failed : a.shape=(5, 15), b.shape=(5, 3), m=15, n=3, k=5 [[{{node training/Adam/gradients/dense_7/MatMul_grad/MatMul_1}}]] 2023-12-26 19:57:51,542 : ERROR : KNIME-Worker-25-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: Blas GEMM launch failed : a.shape=(5, 15), b.shape=(5, 3), m=15, n=3, k=5 [[{{node training/Adam/gradients/dense_7/MatMul_grad/MatMul_1}}]] at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-26 20:01:24,124 : WARN : Thread-1370 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-26 20:01:27,228 : ERROR : KNIME-Worker-28-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : Blas GEMM launch failed : a.shape=(5, 15), b.shape=(5, 3), m=15, n=3, k=5 [[{{node training/Adam/gradients/dense_7/MatMul_grad/MatMul_1}}]] 2023-12-26 20:01:27,228 : ERROR : KNIME-Worker-28-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: Blas GEMM launch failed : a.shape=(5, 15), b.shape=(5, 3), m=15, n=3, k=5 [[{{node training/Adam/gradients/dense_7/MatMul_grad/MatMul_1}}]] at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-26 20:02:54,538 : WARN : Thread-1392 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-26 20:02:57,484 : ERROR : KNIME-Worker-29-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : Blas GEMM launch failed : a.shape=(5, 15), b.shape=(5, 3), m=15, n=3, k=5 [[{{node training/Adadelta/gradients/dense_7/MatMul_grad/MatMul_1}}]] 2023-12-26 20:02:57,485 : ERROR : KNIME-Worker-29-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: Blas GEMM launch failed : a.shape=(5, 15), b.shape=(5, 3), m=15, n=3, k=5 [[{{node training/Adadelta/gradients/dense_7/MatMul_grad/MatMul_1}}]] at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-26 20:03:50,045 : WARN : Thread-1414 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-26 20:03:53,073 : ERROR : KNIME-Worker-30-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : Blas GEMM launch failed : a.shape=(5, 15), b.shape=(5, 3), m=15, n=3, k=5 [[{{node training/Adam/gradients/dense_7/MatMul_grad/MatMul_1}}]] 2023-12-26 20:03:53,074 : ERROR : KNIME-Worker-30-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: Blas GEMM launch failed : a.shape=(5, 15), b.shape=(5, 3), m=15, n=3, k=5 [[{{node training/Adam/gradients/dense_7/MatMul_grad/MatMul_1}}]] at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-26 20:04:26,697 : WARN : Thread-1456 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-26 20:13:24,474 : WARN : Thread-1501 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\KERASCPU\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-26 20:21:52,919 : WARN : Thread-1537 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-26 20:22:28,157 : WARN : KNIME-Worker-33-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : Execution canceled 2023-12-26 20:23:12,729 : WARN : Thread-1559 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-26 20:23:15,674 : ERROR : KNIME-Worker-34-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : Blas GEMM launch failed : a.shape=(5, 15), b.shape=(5, 3), m=15, n=3, k=5 [[{{node training/Adam/gradients/dense_7/MatMul_grad/MatMul_1}}]] 2023-12-26 20:23:15,674 : ERROR : KNIME-Worker-34-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: Blas GEMM launch failed : a.shape=(5, 15), b.shape=(5, 3), m=15, n=3, k=5 [[{{node training/Adam/gradients/dense_7/MatMul_grad/MatMul_1}}]] at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-26 23:58:07,081 : WARN : KNIME-Worker-35-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : Execution canceled 2023-12-26 23:58:17,111 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. 2023-12-27 00:00:58,731 : WARN : Thread-372 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\knime-keras-gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 00:01:38,678 : WARN : KNIME-Worker-1-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : Execution canceled 2023-12-27 00:01:50,478 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-27 00:01:51,361 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-27 00:01:52,262 : WARN : KNIME-Worker-4-Keras Dense Layer 3:21 : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-27 00:04:28,697 : WARN : Thread-434 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\knime-keras-gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 00:04:40,511 : WARN : KNIME-Worker-1-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : Execution canceled 2023-12-27 00:07:27,877 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : Execution canceled 2023-12-27 00:10:03,643 : WARN : Thread-372 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\knime-keras-gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 00:10:29,619 : WARN : KNIME-Worker-1-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : Execution canceled 2023-12-27 00:12:22,682 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : Execution canceled 2023-12-27 00:15:12,404 : WARN : Thread-393 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\knime-keras-gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 00:15:47,368 : WARN : KNIME-Worker-0-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : Execution canceled 2023-12-27 00:16:03,613 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-27 00:16:05,310 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-27 00:16:23,468 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-27 00:16:24,582 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-27 00:16:24,792 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-27 00:16:26,630 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-27 00:16:40,680 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-27 00:16:41,332 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-27 00:16:44,626 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-27 00:22:04,930 : WARN : Thread-525 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\knime-keras-gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 00:22:07,880 : ERROR : KNIME-Worker-6-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : Blas GEMM launch failed : a.shape=(2, 15), b.shape=(2, 3), m=15, n=3, k=2 [[{{node training/Adam/gradients/dense_7/MatMul_grad/MatMul_1}}]] 2023-12-27 00:22:07,882 : ERROR : KNIME-Worker-6-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: Blas GEMM launch failed : a.shape=(2, 15), b.shape=(2, 3), m=15, n=3, k=2 [[{{node training/Adam/gradients/dense_7/MatMul_grad/MatMul_1}}]] at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-27 00:23:54,155 : WARN : Thread-556 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\knime-keras-gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 00:23:57,163 : ERROR : KNIME-Worker-6-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : Blas GEMM launch failed : a.shape=(2, 15), b.shape=(2, 3), m=15, n=3, k=2 [[{{node training/Adam/gradients/dense_7/MatMul_grad/MatMul_1}}]] 2023-12-27 00:23:57,164 : ERROR : KNIME-Worker-6-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: Blas GEMM launch failed : a.shape=(2, 15), b.shape=(2, 3), m=15, n=3, k=2 [[{{node training/Adam/gradients/dense_7/MatMul_grad/MatMul_1}}]] at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-27 00:24:50,678 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-27 00:24:51,488 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-27 00:24:52,546 : WARN : KNIME-Worker-8-Keras Dense Layer 3:21 : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-27 00:25:17,431 : WARN : Thread-587 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\knime-keras-gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 00:26:29,147 : WARN : KNIME-Worker-6-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : Execution canceled 2023-12-27 00:27:37,136 : WARN : Thread-609 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\knime-keras-gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 00:28:02,409 : WARN : KNIME-Worker-6-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : Execution canceled 2023-12-27 00:28:14,018 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-27 00:28:14,682 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-27 00:28:15,760 : WARN : KNIME-Worker-10-Keras Dense Layer 3:21 : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-27 00:28:40,950 : WARN : Thread-640 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\knime-keras-gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 00:28:43,906 : ERROR : KNIME-Worker-6-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : Blas GEMM launch failed : a.shape=(2, 15), b.shape=(2, 3), m=15, n=3, k=2 [[{{node training/Adam/gradients/dense_7/MatMul_grad/MatMul_1}}]] 2023-12-27 00:28:43,906 : ERROR : KNIME-Worker-6-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: Blas GEMM launch failed : a.shape=(2, 15), b.shape=(2, 3), m=15, n=3, k=2 [[{{node training/Adam/gradients/dense_7/MatMul_grad/MatMul_1}}]] at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-27 00:51:15,166 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. 2023-12-27 00:53:44,242 : ERROR : KNIME-Worker-1-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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. Further output: Using TensorFlow backend. 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. Further output: Using TensorFlow backend. 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.dl.core.DLInvalidEnvironmentException: Deep learning Python back end installation tests failed. Cause: Python library 'tensorflow' or one of its dependencies is missing. Python library 'keras' or one of its dependencies is missing. Further output: Using TensorFlow backend. In case Python packages are missing: you can create a new Python Conda environment that contains all packages required by the KNIME deep learning integrations in the "KNIME Deep Learning" Preferences. at org.knime.dl.keras.core.layers.DLKerasNetworkMaterializer.materialize(DLKerasNetworkMaterializer.java:142) at org.knime.dl.keras.base.portobjects.DLKerasUnmaterializedPortObjectContent.materialize(DLKerasUnmaterializedPortObjectContent.java:107) ... 17 more Caused by: org.knime.dl.core.DLMissingDependencyException: Deep learning Python back end installation tests failed. Cause: Python library 'tensorflow' or one of its dependencies is missing. Python library 'keras' or one of its dependencies is missing. Further output: Using TensorFlow backend. In case Python packages are missing: you can create a new Python Conda environment that contains all packages required by the KNIME deep learning integrations in the "KNIME Deep Learning" Preferences. at org.knime.dl.python.core.DLPythonAbstractNetworkLoader$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$CallableWithContext.call(ThreadUtils.java:269) ... 3 more Caused by: org.knime.dl.core.DLInvalidEnvironmentException: Deep learning Python back end installation tests failed. Cause: Python library 'tensorflow' or one of its dependencies is missing. Python library 'keras' or one of its dependencies is missing. Further output: Using TensorFlow backend. at org.knime.dl.python.core.DLPythonAbstractCommands.testInstallation(DLPythonAbstractCommands.java:299) at org.knime.dl.python.core.DLPythonAbstractNetworkLoader$DLPythonInstallationTester$InstallationTestCallable.call(DLPythonAbstractNetworkLoader.java:173) ... 6 more 2023-12-27 01:22:13,779 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : 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. Further output: Using TensorFlow backend. 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. 2023-12-27 01:33:41,612 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : 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. Further output: Using TensorFlow backend. 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. 2023-12-27 01:46:07,521 : WARN : Thread-444 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 01:46:19,151 : WARN : KNIME-Worker-1-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : Execution canceled 2023-12-27 01:49:33,865 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : 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. Further output: Using TensorFlow backend. 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. 2023-12-27 01:50:11,563 : WARN : Thread-393 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 01:50:59,662 : WARN : KNIME-Worker-0-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : Execution canceled 2023-12-27 01:51:09,579 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-27 01:51:10,967 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-27 01:51:12,290 : WARN : KNIME-Worker-0-Keras Dense Layer 3:21 : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-27 01:51:35,832 : WARN : Thread-436 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 01:55:59,197 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : 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. Further output: Using TensorFlow backend. 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. 2023-12-27 01:56:45,236 : WARN : Thread-392 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 01:57:41,246 : WARN : KNIME-Worker-0-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : Execution canceled 2023-12-27 02:02:13,634 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : 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. Further output: Using TensorFlow backend. 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. 2023-12-27 02:07:25,635 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : 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. Further output: Using TensorFlow backend. 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. 2023-12-27 02:08:08,315 : WARN : Thread-412 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 02:09:15,142 : WARN : KNIME-Worker-0-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : Execution canceled 2023-12-27 02:09:21,150 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-27 02:09:22,992 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-27 02:09:24,352 : WARN : KNIME-Worker-0-Keras Dense Layer 3:21 : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-27 02:09:47,285 : WARN : KNIME-Worker-2-Keras Network Learner 3:22 : : DLKnimeNetworkValidationInputPreparer : Keras Network Learner : 3:22 : The number of rows of the input validation data table (10000) is not a multiple of the selected validation batch size (32). 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. 2023-12-27 02:09:47,499 : WARN : Thread-444 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 02:10:19,925 : WARN : KNIME-Worker-2-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : Execution canceled 2023-12-27 02:10:27,039 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-27 02:10:28,827 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-27 02:10:29,826 : WARN : KNIME-Worker-2-Keras Dense Layer 3:21 : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-27 02:10:52,365 : WARN : KNIME-Worker-0-Keras Network Learner 3:22 : : DLKnimeNetworkTrainingInputPreparer : Keras Network Learner : 3:22 : The number of rows of the input training data table (100000) is not a multiple of the selected training batch size (256). 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. 2023-12-27 02:10:52,365 : WARN : KNIME-Worker-0-Keras Network Learner 3:22 : : DLKnimeNetworkValidationInputPreparer : Keras Network Learner : 3:22 : The number of rows of the input validation data table (10000) is not a multiple of the selected validation batch size (256). 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. 2023-12-27 02:10:52,577 : WARN : Thread-475 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 02:14:16,910 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : 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. Further output: Using TensorFlow backend. 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. 2023-12-27 02:14:46,077 : WARN : Thread-372 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 02:15:13,049 : WARN : KNIME-Worker-0-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : Execution canceled 2023-12-27 02:27:18,099 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : 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. Further output: Using TensorFlow backend. 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. 2023-12-27 02:27:57,016 : WARN : Thread-393 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 02:38:28,131 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : 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. Further output: Using TensorFlow backend. 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. 2023-12-27 02:39:01,526 : WARN : Thread-393 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 02:39:20,932 : WARN : KNIME-Worker-0-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : Execution canceled 2023-12-27 02:39:28,967 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-27 02:39:29,839 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-27 02:39:51,929 : WARN : Thread-445 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 02:43:43,927 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : 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. Further output: Using TensorFlow backend. 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. 2023-12-27 02:44:34,249 : WARN : Thread-395 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 02:44:49,115 : WARN : KNIME-Worker-0-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : Execution canceled 2023-12-27 02:44:56,621 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-27 02:44:57,347 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-27 02:45:19,858 : WARN : Thread-436 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 02:53:06,990 : WARN : Thread-403 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 02:59:47,271 : WARN : Thread-372 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 03:05:48,461 : WARN : Thread-372 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 03:06:09,312 : WARN : KNIME-Worker-0-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : Execution canceled 2023-12-27 03:09:42,369 : WARN : Thread-394 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 03:24:09,521 : WARN : Thread-407 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\models.py:282: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 03:24:13,460 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[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"](dense_1/Reshape, dense_1/kernel/read)]] [[Node: metrics/acc/Mean/_203 = _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_1006_metrics/acc/Mean", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]] Caused by op 'dense_1/MatMul', defined at: File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\PythonKernelLauncher.py", line 122, in kernel.start() File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\python3\PythonKernel.py", line 88, in start self.execute_thread_executor.start() File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\python3\_QueuedExecutor.py", line 87, in start work_item.run() File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\concurrent\futures\thread.py", line 56, in run result = self.fn(*self.args, **self.kwargs) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\python3\_QueuedExecutor.py", line 108, in _monitored_fn return fn(*args, **kwargs) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\messaging\Task.py", line 179, in run self._runnable() File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\messaging\Task.py", line 143, in _run_internal received, self._message_handlers, self._message_id_supplier, self._set_result, self._workspace) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\messaging\AbstractTaskHandler.py", line 76, in handle if self._handle_custom_message(message, message_id_supplier, message_to_send, result_consumer, workspace): File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\messaging\RequestHandlers.py", line 96, in _handle_custom_message response = self._respond(message, response_message_id, workspace) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\messaging\RequestHandlers.py", line 379, in _respond output, error = workspace.execute(source_code, request.id) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\PythonKernelBase.py", line 328, in execute exec(source_code, self._exec_env, self._exec_env) File "", line 3, in File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLTF2NetworkReader.py", line 126, in read return read_keras(self.backend, path, compile, compatibility_mode) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLTF2NetworkReader.py", line 92, in read_keras }[backend](path, compile, compatibility_mode) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLTF2NetworkReader.py", line 98, in read_keras_tensorflow compatibility_mode=compatibility_mode) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLKerasTensorFlowNetwork.py", line 60, in read model = self._read_internal(path, compile) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLKerasNetwork.py", line 100, in _read_internal return load_model(path, compile=compile) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\models.py", line 270, in load_model model = model_from_config(model_config, custom_objects=custom_objects) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\models.py", line 347, in model_from_config return layer_module.deserialize(config, custom_objects=custom_objects) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\layers\__init__.py", line 55, in deserialize printable_module_name='layer') File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\utils\generic_utils.py", line 144, in deserialize_keras_object list(custom_objects.items()))) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\engine\topology.py", line 2535, in from_config process_node(layer, node_data) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\engine\topology.py", line 2492, in process_node layer(input_tensors[0], **kwargs) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\engine\topology.py", line 619, in __call__ output = self.call(inputs, **kwargs) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\layers\core.py", line 877, in call output = K.dot(inputs, self.kernel) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\backend\tensorflow_backend.py", line 1071, in dot return tf.reshape(tf.matmul(xt, yt), File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\tensorflow\python\ops\math_ops.py", line 2122, in matmul a, b, transpose_a=transpose_a, transpose_b=transpose_b, name=name) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\tensorflow\python\ops\gen_math_ops.py", line 4278, in mat_mul name=name) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 787, in _apply_op_helper op_def=op_def) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\tensorflow\python\framework\ops.py", line 3392, in create_op op_def=op_def) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\tensorflow\python\framework\ops.py", line 1718, in __init__ self._traceback = self._graph._extract_stack() # pylint: disable=protected-access InternalError (see above for traceback): Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[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"](dense_1/Reshape, dense_1/kernel/read)]] [[Node: metrics/acc/Mean/_203 = _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_1006_metrics/acc/Mean", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]] 2023-12-27 03:24:13,462 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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, 160), b.shape=(160, 150), m=100, n=150, k=160 [[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"](dense_1/Reshape, dense_1/kernel/read)]] [[Node: metrics/acc/Mean/_203 = _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_1006_metrics/acc/Mean", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]] Caused by op 'dense_1/MatMul', defined at: File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\PythonKernelLauncher.py", line 122, in kernel.start() File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\python3\PythonKernel.py", line 88, in start self.execute_thread_executor.start() File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\python3\_QueuedExecutor.py", line 87, in start work_item.run() File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\concurrent\futures\thread.py", line 56, in run result = self.fn(*self.args, **self.kwargs) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\python3\_QueuedExecutor.py", line 108, in _monitored_fn return fn(*args, **kwargs) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\messaging\Task.py", line 179, in run self._runnable() File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\messaging\Task.py", line 143, in _run_internal received, self._message_handlers, self._message_id_supplier, self._set_result, self._workspace) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\messaging\AbstractTaskHandler.py", line 76, in handle if self._handle_custom_message(message, message_id_supplier, message_to_send, result_consumer, workspace): File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\messaging\RequestHandlers.py", line 96, in _handle_custom_message response = self._respond(message, response_message_id, workspace) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\messaging\RequestHandlers.py", line 379, in _respond output, error = workspace.execute(source_code, request.id) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\PythonKernelBase.py", line 328, in execute exec(source_code, self._exec_env, self._exec_env) File "", line 3, in File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLTF2NetworkReader.py", line 126, in read return read_keras(self.backend, path, compile, compatibility_mode) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLTF2NetworkReader.py", line 92, in read_keras }[backend](path, compile, compatibility_mode) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLTF2NetworkReader.py", line 98, in read_keras_tensorflow compatibility_mode=compatibility_mode) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLKerasTensorFlowNetwork.py", line 60, in read model = self._read_internal(path, compile) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLKerasNetwork.py", line 100, in _read_internal return load_model(path, compile=compile) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\models.py", line 270, in load_model model = model_from_config(model_config, custom_objects=custom_objects) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\models.py", line 347, in model_from_config return layer_module.deserialize(config, custom_objects=custom_objects) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\layers\__init__.py", line 55, in deserialize printable_module_name='layer') File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\utils\generic_utils.py", line 144, in deserialize_keras_object list(custom_objects.items()))) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\engine\topology.py", line 2535, in from_config process_node(layer, node_data) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\engine\topology.py", line 2492, in process_node layer(input_tensors[0], **kwargs) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\engine\topology.py", line 619, in __call__ output = self.call(inputs, **kwargs) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\layers\core.py", line 877, in call output = K.dot(inputs, self.kernel) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\backend\tensorflow_backend.py", line 1071, in dot return tf.reshape(tf.matmul(xt, yt), File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\tensorflow\python\ops\math_ops.py", line 2122, in matmul a, b, transpose_a=transpose_a, transpose_b=transpose_b, name=name) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\tensorflow\python\ops\gen_math_ops.py", line 4278, in mat_mul name=name) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 787, in _apply_op_helper op_def=op_def) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\tensorflow\python\framework\ops.py", line 3392, in create_op op_def=op_def) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\tensorflow\python\framework\ops.py", line 1718, in __init__ self._traceback = self._graph._extract_stack() # pylint: disable=protected-access InternalError (see above for traceback): Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[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"](dense_1/Reshape, dense_1/kernel/read)]] [[Node: metrics/acc/Mean/_203 = _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_1006_metrics/acc/Mean", 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) 2023-12-27 03:31:33,877 : WARN : Thread-394 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\models.py:282: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 03:31:37,115 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[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"](dense_1/Reshape, dense_1/kernel/read)]] [[Node: metrics/acc/Mean/_203 = _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_1006_metrics/acc/Mean", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]] Caused by op 'dense_1/MatMul', defined at: File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\PythonKernelLauncher.py", line 122, in kernel.start() File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\python3\PythonKernel.py", line 88, in start self.execute_thread_executor.start() File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\python3\_QueuedExecutor.py", line 87, in start work_item.run() File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\concurrent\futures\thread.py", line 56, in run result = self.fn(*self.args, **self.kwargs) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\python3\_QueuedExecutor.py", line 108, in _monitored_fn return fn(*args, **kwargs) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\messaging\Task.py", line 179, in run self._runnable() File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\messaging\Task.py", line 143, in _run_internal received, self._message_handlers, self._message_id_supplier, self._set_result, self._workspace) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\messaging\AbstractTaskHandler.py", line 76, in handle if self._handle_custom_message(message, message_id_supplier, message_to_send, result_consumer, workspace): File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\messaging\RequestHandlers.py", line 96, in _handle_custom_message response = self._respond(message, response_message_id, workspace) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\messaging\RequestHandlers.py", line 379, in _respond output, error = workspace.execute(source_code, request.id) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\PythonKernelBase.py", line 328, in execute exec(source_code, self._exec_env, self._exec_env) File "", line 3, in File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLTF2NetworkReader.py", line 126, in read return read_keras(self.backend, path, compile, compatibility_mode) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLTF2NetworkReader.py", line 92, in read_keras }[backend](path, compile, compatibility_mode) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLTF2NetworkReader.py", line 98, in read_keras_tensorflow compatibility_mode=compatibility_mode) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLKerasTensorFlowNetwork.py", line 60, in read model = self._read_internal(path, compile) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLKerasNetwork.py", line 100, in _read_internal return load_model(path, compile=compile) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\models.py", line 270, in load_model model = model_from_config(model_config, custom_objects=custom_objects) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\models.py", line 347, in model_from_config return layer_module.deserialize(config, custom_objects=custom_objects) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\layers\__init__.py", line 55, in deserialize printable_module_name='layer') File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\utils\generic_utils.py", line 144, in deserialize_keras_object list(custom_objects.items()))) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\engine\topology.py", line 2535, in from_config process_node(layer, node_data) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\engine\topology.py", line 2492, in process_node layer(input_tensors[0], **kwargs) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\engine\topology.py", line 619, in __call__ output = self.call(inputs, **kwargs) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\layers\core.py", line 877, in call output = K.dot(inputs, self.kernel) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\backend\tensorflow_backend.py", line 1071, in dot return tf.reshape(tf.matmul(xt, yt), File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\tensorflow\python\ops\math_ops.py", line 2122, in matmul a, b, transpose_a=transpose_a, transpose_b=transpose_b, name=name) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\tensorflow\python\ops\gen_math_ops.py", line 4278, in mat_mul name=name) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 787, in _apply_op_helper op_def=op_def) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\tensorflow\python\framework\ops.py", line 3392, in create_op op_def=op_def) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\tensorflow\python\framework\ops.py", line 1718, in __init__ self._traceback = self._graph._extract_stack() # pylint: disable=protected-access InternalError (see above for traceback): Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[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"](dense_1/Reshape, dense_1/kernel/read)]] [[Node: metrics/acc/Mean/_203 = _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_1006_metrics/acc/Mean", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]] 2023-12-27 03:31:37,117 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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, 160), b.shape=(160, 150), m=100, n=150, k=160 [[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"](dense_1/Reshape, dense_1/kernel/read)]] [[Node: metrics/acc/Mean/_203 = _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_1006_metrics/acc/Mean", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]] Caused by op 'dense_1/MatMul', defined at: File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\PythonKernelLauncher.py", line 122, in kernel.start() File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\python3\PythonKernel.py", line 88, in start self.execute_thread_executor.start() File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\python3\_QueuedExecutor.py", line 87, in start work_item.run() File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\concurrent\futures\thread.py", line 56, in run result = self.fn(*self.args, **self.kwargs) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\python3\_QueuedExecutor.py", line 108, in _monitored_fn return fn(*args, **kwargs) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\messaging\Task.py", line 179, in run self._runnable() File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\messaging\Task.py", line 143, in _run_internal received, self._message_handlers, self._message_id_supplier, self._set_result, self._workspace) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\messaging\AbstractTaskHandler.py", line 76, in handle if self._handle_custom_message(message, message_id_supplier, message_to_send, result_consumer, workspace): File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\messaging\RequestHandlers.py", line 96, in _handle_custom_message response = self._respond(message, response_message_id, workspace) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\messaging\RequestHandlers.py", line 379, in _respond output, error = workspace.execute(source_code, request.id) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.python2_5.2.0.v202311211447\py\PythonKernelBase.py", line 328, in execute exec(source_code, self._exec_env, self._exec_env) File "", line 3, in File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLTF2NetworkReader.py", line 126, in read return read_keras(self.backend, path, compile, compatibility_mode) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLTF2NetworkReader.py", line 92, in read_keras }[backend](path, compile, compatibility_mode) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLTF2NetworkReader.py", line 98, in read_keras_tensorflow compatibility_mode=compatibility_mode) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLKerasTensorFlowNetwork.py", line 60, in read model = self._read_internal(path, compile) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.keras_5.2.0.v202310301554\py\DLKerasNetwork.py", line 100, in _read_internal return load_model(path, compile=compile) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\models.py", line 270, in load_model model = model_from_config(model_config, custom_objects=custom_objects) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\models.py", line 347, in model_from_config return layer_module.deserialize(config, custom_objects=custom_objects) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\layers\__init__.py", line 55, in deserialize printable_module_name='layer') File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\utils\generic_utils.py", line 144, in deserialize_keras_object list(custom_objects.items()))) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\engine\topology.py", line 2535, in from_config process_node(layer, node_data) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\engine\topology.py", line 2492, in process_node layer(input_tensors[0], **kwargs) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\engine\topology.py", line 619, in __call__ output = self.call(inputs, **kwargs) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\layers\core.py", line 877, in call output = K.dot(inputs, self.kernel) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\keras\backend\tensorflow_backend.py", line 1071, in dot return tf.reshape(tf.matmul(xt, yt), File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\tensorflow\python\ops\math_ops.py", line 2122, in matmul a, b, transpose_a=transpose_a, transpose_b=transpose_b, name=name) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\tensorflow\python\ops\gen_math_ops.py", line 4278, in mat_mul name=name) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 787, in _apply_op_helper op_def=op_def) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\tensorflow\python\framework\ops.py", line 3392, in create_op op_def=op_def) File "C:\Users\ejfer\anaconda3\envs\keras_gpu\lib\site-packages\tensorflow\python\framework\ops.py", line 1718, in __init__ self._traceback = self._graph._extract_stack() # pylint: disable=protected-access InternalError (see above for traceback): Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[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"](dense_1/Reshape, dense_1/kernel/read)]] [[Node: metrics/acc/Mean/_203 = _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_1006_metrics/acc/Mean", 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) 2023-12-27 03:49:47,257 : WARN : Thread-425 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\keras-gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 03:49:51,143 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_201]] (1) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-27 03:49:51,144 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_201]] (1) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 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) 2023-12-27 04:01:33,602 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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. Further output: Using TensorFlow backend. 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. Further output: Using TensorFlow backend. 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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. Further output: Using TensorFlow backend. 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. Further output: Using TensorFlow backend. 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. Further output: Using TensorFlow backend. 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 2023-12-27 05:39:34,687 : WARN : Thread-407 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 05:44:45,424 : WARN : Thread-405 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 05:45:36,677 : WARN : Thread-410 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 05:49:38,541 : WARN : Thread-394 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 05:49:42,212 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_201]] (1) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-27 05:49:42,213 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_201]] (1) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-27 05:57:23,349 : WARN : Thread-474 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 05:57:26,336 : ERROR : KNIME-Worker-2-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_201]] (1) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-27 05:57:26,337 : ERROR : KNIME-Worker-2-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_201]] (1) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-27 06:01:08,870 : WARN : Thread-392 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 06:01:11,859 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_201]] (1) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-27 06:01:11,861 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_201]] (1) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-27 06:02:25,341 : WARN : Thread-480 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 06:02:28,303 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_201]] (1) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-27 06:02:28,303 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_201]] (1) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-27 16:38:29,038 : WARN : Thread-424 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 16:39:15,962 : WARN : Thread-429 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 17:12:59,075 : WARN : Thread-394 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 17:13:02,902 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_201]] (1) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-27 17:13:02,903 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_201]] (1) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-27 17:15:43,552 : WARN : Thread-435 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 17:15:46,559 : ERROR : KNIME-Worker-2-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_201]] (1) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-27 17:15:46,560 : ERROR : KNIME-Worker-2-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_201]] (1) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-27 17:21:20,783 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. 2023-12-27 17:22:08,108 : WARN : Thread-403 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 17:22:11,089 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_201]] (1) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-27 17:22:11,090 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_201]] (1) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-27 17:30:24,120 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. 2023-12-27 17:31:06,891 : WARN : Thread-392 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 17:31:09,910 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_201]] (1) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-27 17:31:09,911 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_201]] (1) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-27 17:36:48,670 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. 2023-12-27 17:37:31,994 : WARN : Thread-394 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 17:37:35,030 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_201]] (1) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-27 17:37:35,032 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_201]] (1) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-27 17:37:51,342 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-27 17:37:52,404 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-27 17:37:53,858 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-27 17:39:05,812 : WARN : Thread-462 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 17:39:57,835 : WARN : KNIME-Worker-1-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : Execution canceled 2023-12-27 17:40:02,987 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-27 17:40:03,782 : WARN : main : : Node : Keras Network Learner : 3:22 : Input deep learning network changed. Please reconfigure the node. 2023-12-27 17:40:29,997 : WARN : Thread-484 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 17:40:33,005 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : Blas GEMM launch failed : a.shape=(2, 15), b.shape=(2, 3), m=15, n=3, k=2 [[{{node training/Adam/gradients/dense_7/MatMul_grad/MatMul_1}}]] 2023-12-27 17:40:33,005 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: Blas GEMM launch failed : a.shape=(2, 15), b.shape=(2, 3), m=15, n=3, k=2 [[{{node training/Adam/gradients/dense_7/MatMul_grad/MatMul_1}}]] at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-27 18:08:59,077 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. 2023-12-27 18:10:07,403 : WARN : Thread-414 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 18:10:11,159 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_201]] (1) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-27 18:10:11,160 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_201]] (1) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-27 18:13:04,139 : WARN : KNIME-Worker-2-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : Execution canceled 2023-12-27 18:13:29,372 : WARN : Thread-490 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 18:13:32,399 : ERROR : KNIME-Worker-3-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_201]] (1) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-27 18:13:32,399 : ERROR : KNIME-Worker-3-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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$Worker.run(ThreadPool.java:246) Caused by: org.knime.python2.kernel.PythonIOException: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_201]] (1) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. at org.knime.python2.kernel.messaging.AbstractTaskHandler.handleFailureMessage(AbstractTaskHandler.java:146) at org.knime.python2.kernel.messaging.AbstractTaskHandler.handle(AbstractTaskHandler.java:92) at org.knime.dl.python.core.DLPythonAbstractCommands$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) 2023-12-27 19:47:35,979 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. 2023-12-27 19:48:11,757 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : Execute failed: An error occurred while creating the Keras network from its layer specifications. Details: type object 'object' has no attribute 'dtype' Traceback (most recent call last): File "", line 5, in File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.python_5.2.0.v202310301554\py\DLPythonNetworkSpecToDataFrameConverter.py", line 93, in get_layer_data_specs_as_data_frames input_specs = extractor.input_specs_to_data_frame() File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.python_5.2.0.v202310301554\py\DLPythonNetworkSpecToDataFrameConverter.py", line 57, in input_specs_to_data_frame return self.__layer_data_specs_to_data_frame(self._network_spec.input_specs) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.python_5.2.0.v202310301554\py\DLPythonNetworkSpecToDataFrameConverter.py", line 79, in __layer_data_specs_to_data_frame columns=('id', 'name', 'batch_size', 'shape', 'type', 'dimension_order')) File "C:\Users\ejfer\anaconda3\envs\kerasgpu114\lib\site-packages\pandas\core\frame.py", line 348, in __init__ mgr = self._init_dict(data, index, columns, dtype=dtype) File "C:\Users\ejfer\anaconda3\envs\kerasgpu114\lib\site-packages\pandas\core\frame.py", line 451, in _init_dict nan_dtype) File "C:\Users\ejfer\anaconda3\envs\kerasgpu114\lib\site-packages\pandas\core\dtypes\cast.py", line 1196, in construct_1d_arraylike_from_scalar dtype = dtype.dtype AttributeError: type object 'object' has no attribute 'dtype' java.io.IOException: An error occurred while creating the Keras network from its layer specifications. Details: type object 'object' has no attribute 'dtype' Traceback (most recent call last): File "", line 5, in File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.python_5.2.0.v202310301554\py\DLPythonNetworkSpecToDataFrameConverter.py", line 93, in get_layer_data_specs_as_data_frames input_specs = extractor.input_specs_to_data_frame() File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.python_5.2.0.v202310301554\py\DLPythonNetworkSpecToDataFrameConverter.py", line 57, in input_specs_to_data_frame return self.__layer_data_specs_to_data_frame(self._network_spec.input_specs) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.python_5.2.0.v202310301554\py\DLPythonNetworkSpecToDataFrameConverter.py", line 79, in __layer_data_specs_to_data_frame columns=('id', 'name', 'batch_size', 'shape', 'type', 'dimension_order')) File "C:\Users\ejfer\anaconda3\envs\kerasgpu114\lib\site-packages\pandas\core\frame.py", line 348, in __init__ mgr = self._init_dict(data, index, columns, dtype=dtype) File "C:\Users\ejfer\anaconda3\envs\kerasgpu114\lib\site-packages\pandas\core\frame.py", line 451, in _init_dict nan_dtype) File "C:\Users\ejfer\anaconda3\envs\kerasgpu114\lib\site-packages\pandas\core\dtypes\cast.py", line 1196, in construct_1d_arraylike_from_scalar dtype = dtype.dtype AttributeError: type object 'object' has no attribute 'dtype' 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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: type object 'object' has no attribute 'dtype' Traceback (most recent call last): File "", line 5, in File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.python_5.2.0.v202310301554\py\DLPythonNetworkSpecToDataFrameConverter.py", line 93, in get_layer_data_specs_as_data_frames input_specs = extractor.input_specs_to_data_frame() File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.python_5.2.0.v202310301554\py\DLPythonNetworkSpecToDataFrameConverter.py", line 57, in input_specs_to_data_frame return self.__layer_data_specs_to_data_frame(self._network_spec.input_specs) File "C:\Users\ejfer\AppData\Local\Programs\KNIME\plugins\org.knime.dl.python_5.2.0.v202310301554\py\DLPythonNetworkSpecToDataFrameConverter.py", line 79, in __layer_data_specs_to_data_frame columns=('id', 'name', 'batch_size', 'shape', 'type', 'dimension_order')) File "C:\Users\ejfer\anaconda3\envs\kerasgpu114\lib\site-packages\pandas\core\frame.py", line 348, in __init__ mgr = self._init_dict(data, index, columns, dtype=dtype) File "C:\Users\ejfer\anaconda3\envs\kerasgpu114\lib\site-packages\pandas\core\frame.py", line 451, in _init_dict nan_dtype) File "C:\Users\ejfer\anaconda3\envs\kerasgpu114\lib\site-packages\pandas\core\dtypes\cast.py", line 1196, in construct_1d_arraylike_from_scalar dtype = dtype.dtype AttributeError: type object 'object' has no attribute 'dtype' 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) 2023-12-27 19:56:37,579 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. 2023-12-27 19:57:25,181 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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 2023-12-27 20:33:09,210 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. 2023-12-27 20:35:50,194 : WARN : Thread-449 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 22:06:29,414 : WARN : Thread-465 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 22:08:14,935 : WARN : Thread-469 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 22:08:27,040 : WARN : KNIME-Worker-5-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : Execution canceled 2023-12-27 22:14:44,381 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. 2023-12-27 22:34:25,834 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. 2023-12-27 22:35:12,581 : WARN : Thread-415 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 22:36:49,807 : WARN : Thread-438 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 22:41:45,527 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. 2023-12-27 22:42:29,122 : WARN : Thread-412 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 22:42:47,016 : WARN : KNIME-Worker-0-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : Execution canceled 2023-12-27 22:45:08,988 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. 2023-12-27 22:45:41,849 : WARN : Thread-372 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 22:45:45,614 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_201]] (1) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-27 22:45:45,616 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_201]] (1) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 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) 2023-12-27 22:51:14,020 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. 2023-12-27 22:51:54,271 : WARN : Thread-372 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 22:51:57,349 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_201]] (1) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-27 22:51:57,350 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_201]] (1) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 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) 2023-12-27 23:20:30,831 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. 2023-12-27 23:21:06,474 : WARN : Thread-390 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 23:21:09,524 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_201]] (1) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-27 23:21:09,525 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_201]] (1) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 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) 2023-12-27 23:24:04,818 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. 2023-12-27 23:24:35,520 : WARN : Thread-372 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 23:24:38,570 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_201]] (1) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-27 23:24:38,571 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_201]] (1) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 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) 2023-12-27 23:29:06,615 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. 2023-12-27 23:29:37,755 : WARN : Thread-372 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 23:29:40,806 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_201]] (1) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-27 23:29:40,807 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_201]] (1) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 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) 2023-12-27 23:33:33,690 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. 2023-12-27 23:34:18,621 : WARN : Thread-403 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 23:34:21,606 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_201]] (1) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-27 23:34:21,607 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_201]] (1) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 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) 2023-12-27 23:39:38,102 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. 2023-12-27 23:40:08,240 : WARN : Thread-372 : : PythonKernel : Keras Network Learner : 3:22 : C:\Users\ejfer\anaconda3\envs\py3_knime_dl_gpu\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 2023-12-27 23:40:11,293 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : DLKerasLearnerNodeModel : Keras Network Learner : 3:22 : 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_201]] (1) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 2023-12-27 23:40:11,293 : ERROR : KNIME-Worker-0-Keras Network Learner 3:22 : : Node : Keras Network Learner : 3:22 : 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:588) at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1297) at org.knime.core.node.Node.execute(Node.java:1059) at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595) at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:98) 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: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] [[metrics/acc/Mean/_201]] (1) Internal: Blas GEMM launch failed : a.shape=(100, 160), b.shape=(160, 150), m=100, n=150, k=160 [[{{node dense_1/MatMul}}]] 0 successful operations. 0 derived errors ignored. 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) 2023-12-27 23:55:44,415 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : Execute failed: An error occured during training of the Keras deep learning network. See log for details. 2023-12-28 00:22:37,119 : WARN : ModalContext : : Node : Keras Network Learner : 3:22 : Execute failed: An error occured during training of the Keras deep learning network. See log for details.