Leaked workspace pointer in TestConvolutionalListener.testUI()

stack_trace.txt

o.n.l.f.Nd4jBackend - Loaded [CpuBackend] backend
o.n.n.NativeOpsHolder - Number of threads used for NativeOps: 4
o.n.n.Nd4jBlas - Number of threads used for BLAS: 4
o.n.l.a.o.e.DefaultOpExecutioner - Backend used: [CPU]; OS: [Windows 10]
o.n.l.a.o.e.DefaultOpExecutioner - Cores: [4]; Memory: [3,5GB];
o.n.l.a.o.e.DefaultOpExecutioner - Blas vendor: [MKL]
o.d.n.m.MultiLayerNetwork - Starting MultiLayerNetwork with WorkspaceModes set to [training: ENABLED; inference: ENABLED], cacheMode set to [NONE]
o.d.u.p.PlayUIServer - DL4J UI Server started at http://localhost:9000
o.d.u.p.PlayUIServer - PlayUIServer.StatsEventRouterRunnable started
o.d.u.p.PlayUIServer - StatsStorage instance attached to UI: org.deeplearning4j.ui.storage.mapdb.MapDBStatsStorage@1835d3ed
ConvolutionTrainingListener path: http://localhost:9000/activations

org.nd4j.linalg.workspace.ND4JWorkspaceException: Cannot detach INDArray: Array uses leaked workspace pointer from workspace WS_ALL_LAYERS_ACT
All open workspaces: []

	at org.nd4j.linalg.workspace.WorkspaceUtils.assertValidArray(WorkspaceUtils.java:120)
	at org.nd4j.linalg.api.ndarray.BaseNDArray.detach(BaseNDArray.java:6003)
	at org.nd4j.linalg.workspace.BaseWorkspaceMgr.leverageTo(BaseWorkspaceMgr.java:187)
	at org.deeplearning4j.nn.workspace.LayerWorkspaceMgr.leverageTo(LayerWorkspaceMgr.java:78)
	at org.deeplearning4j.nn.layers.AbstractLayer.setInput(AbstractLayer.java:116)
	at org.deeplearning4j.nn.layers.AbstractLayer.activate(AbstractLayer.java:258)
	at org.deeplearning4j.ui.weights.ConvolutionalIterationListener.iterationDone(ConvolutionalIterationListener.java:137)
	at org.deeplearning4j.optimize.solvers.StochasticGradientDescent.optimize(StochasticGradientDescent.java:105)
	at org.deeplearning4j.optimize.Solver.optimize(Solver.java:52)
	at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.fitHelper(MultiLayerNetwork.java:2209)
	at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.fit(MultiLayerNetwork.java:2167)
	at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.fit(MultiLayerNetwork.java:2230)
	at org.deeplearning4j.ui.weights.TestConvolutionalListener.testUI(TestConvolutionalListener.java:76)
	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.lang.reflect.Method.invoke(Method.java:498)
	at org.junit.runners.model.FrameworkMethod$1.runReflectiveCall(FrameworkMethod.java:50)
	at org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:12)
	at org.junit.runners.model.FrameworkMethod.invokeExplosively(FrameworkMethod.java:47)
	at org.junit.internal.runners.statements.InvokeMethod.evaluate(InvokeMethod.java:17)
	at org.junit.runners.ParentRunner.runLeaf(ParentRunner.java:325)
	at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:78)
	at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:57)
	at org.junit.runners.ParentRunner$3.run(ParentRunner.java:290)
	at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:71)
	at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:288)
	at org.junit.runners.ParentRunner.access$000(ParentRunner.java:58)
	at org.junit.runners.ParentRunner$2.evaluate(ParentRunner.java:268)
	at org.junit.runners.ParentRunner.run(ParentRunner.java:363)
	at org.junit.runner.JUnitCore.run(JUnitCore.java:137)
	at com.intellij.junit4.JUnit4IdeaTestRunner.startRunnerWithArgs(JUnit4IdeaTestRunner.java:68)
	at com.intellij.rt.execution.junit.IdeaTestRunner$Repeater.startRunnerWithArgs(IdeaTestRunner.java:47)
	at com.intellij.rt.execution.junit.JUnitStarter.prepareStreamsAndStart(JUnitStarter.java:242)
	at com.intellij.rt.execution.junit.JUnitStarter.main(JUnitStarter.java:70)


Process finished with exit code -1