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Created April 20, 2017 10:34
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WARN [2017-04-20 10:33:10,975] org.deeplearning4j.arbiter.optimize.runner.BaseOptimizationRunner: Task failed
! org.deeplearning4j.exception.DL4JInvalidInputException: Input size (784 columns; shape = [1000, 784]) is invalid: does not match layer input size (layer # inputs = 4)
! at org.deeplearning4j.nn.layers.BaseLayer.preOutput(BaseLayer.java:381) ~[deeplearning4j-nn-0.8.1-20170420.044029-38.jar:na]
! at org.deeplearning4j.nn.layers.BaseLayer.activate(BaseLayer.java:403) ~[deeplearning4j-nn-0.8.1-20170420.044029-38.jar:na]
! at org.deeplearning4j.nn.layers.BaseLayer.activate(BaseLayer.java:424) ~[deeplearning4j-nn-0.8.1-20170420.044029-38.jar:na]
! at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.activationFromPrevLayer(MultiLayerNetwork.java:622) ~[deeplearning4j-nn-0.8.1-20170420.044029-38.jar:na]
! at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.feedForwardToLayer(MultiLayerNetwork.java:770) ~[deeplearning4j-nn-0.8.1-20170420.044029-38.jar:na]
! at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.computeGradientAndScore(MultiLayerNetwork.java:1973) ~[deeplearning4j-nn-0.8.1-20170420.044029-38.jar:na]
! at org.deeplearning4j.optimize.solvers.BaseOptimizer.gradientAndScore(BaseOptimizer.java:160) ~[deeplearning4j-nn-0.8.1-20170420.044029-38.jar:na]
! at org.deeplearning4j.optimize.solvers.StochasticGradientDescent.optimize(StochasticGradientDescent.java:56) ~[deeplearning4j-nn-0.8.1-20170420.044029-38.jar:na]
! at org.deeplearning4j.optimize.Solver.optimize(Solver.java:57) ~[deeplearning4j-nn-0.8.1-20170420.044029-38.jar:na]
! at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.fit(MultiLayerNetwork.java:1064) ~[deeplearning4j-nn-0.8.1-20170420.044029-38.jar:na]
! ... 8 common frames omitted
! Causing: java.lang.RuntimeException: org.deeplearning4j.exception.DL4JInvalidInputException: Input size (784 columns; shape = [1000, 784]) is invalid: does not match layer input size (layer # inputs = 4)
! at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.fit(MultiLayerNetwork.java:1070) ~[deeplearning4j-nn-0.8.1-20170420.044029-38.jar:na]
! at org.deeplearning4j.arbiter.task.MultiLayerNetworkTaskCreator$DL4JLearningTask.call(MultiLayerNetworkTaskCreator.java:137) ~[classes/:na]
! at org.deeplearning4j.arbiter.task.MultiLayerNetworkTaskCreator$DL4JLearningTask.call(MultiLayerNetworkTaskCreator.java:69) ~[classes/:na]
! at com.google.common.util.concurrent.TrustedListenableFutureTask$TrustedFutureInterruptibleTask.runInterruptibly(TrustedListenableFutureTask.java:108) ~[guava-19.0.jar:na]
! at com.google.common.util.concurrent.InterruptibleTask.run(InterruptibleTask.java:41) ~[guava-19.0.jar:na]
! at com.google.common.util.concurrent.TrustedListenableFutureTask.run(TrustedListenableFutureTask.java:77) ~[guava-19.0.jar:na]
! at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) ~[na:1.8.0_121]
! at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) ~[na:1.8.0_121]
! at java.lang.Thread.run(Thread.java:745) ~[na:1.8.0_121]
! Causing: java.util.concurrent.ExecutionException: java.lang.RuntimeException: org.deeplearning4j.exception.DL4JInvalidInputException: Input size (784 columns; shape = [1000, 784]) is invalid: does not match layer input size (layer # inputs = 4)
! at com.google.common.util.concurrent.AbstractFuture.getDoneValue(AbstractFuture.java:476) ~[guava-19.0.jar:na]
! at com.google.common.util.concurrent.AbstractFuture.get(AbstractFuture.java:357) ~[guava-19.0.jar:na]
! at com.google.common.util.concurrent.AbstractFuture$TrustedFuture.get(AbstractFuture.java:84) ~[guava-19.0.jar:na]
! at org.deeplearning4j.arbiter.optimize.runner.BaseOptimizationRunner.processReturnedTask(BaseOptimizationRunner.java:193) [classes/:na]
! at org.deeplearning4j.arbiter.optimize.runner.BaseOptimizationRunner.execute(BaseOptimizationRunner.java:135) [classes/:na]
! at org.deeplearning4j.arbiter.multilayernetwork.TestDL4JLocalExecution.testLocalExecution(TestDL4JLocalExecution.java:122) [test-classes/:na]
! at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) ~[na:1.8.0_121]
! at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) ~[na:1.8.0_121]
! at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) ~[na:1.8.0_121]
! at java.lang.reflect.Method.invoke(Method.java:498) ~[na:1.8.0_121]
! at org.junit.runners.model.FrameworkMethod$1.runReflectiveCall(FrameworkMethod.java:50) [junit-4.12.jar:4.12]
! at org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:12) [junit-4.12.jar:4.12]
! at org.junit.runners.model.FrameworkMethod.invokeExplosively(FrameworkMethod.java:47) [junit-4.12.jar:4.12]
! at org.junit.internal.runners.statements.InvokeMethod.evaluate(InvokeMethod.java:17) [junit-4.12.jar:4.12]
! at org.junit.runners.ParentRunner.runLeaf(ParentRunner.java:325) [junit-4.12.jar:4.12]
! at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:78) [junit-4.12.jar:4.12]
! at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:57) [junit-4.12.jar:4.12]
! at org.junit.runners.ParentRunner$3.run(ParentRunner.java:290) [junit-4.12.jar:4.12]
! at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:71) [junit-4.12.jar:4.12]
! at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:288) [junit-4.12.jar:4.12]
! at org.junit.runners.ParentRunner.access$000(ParentRunner.java:58) [junit-4.12.jar:4.12]
! at org.junit.runners.ParentRunner$2.evaluate(ParentRunner.java:268) [junit-4.12.jar:4.12]
! at org.junit.runners.ParentRunner.run(ParentRunner.java:363) [junit-4.12.jar:4.12]
! at org.junit.runner.JUnitCore.run(JUnitCore.java:137) [junit-4.12.jar:4.12]
! at com.intellij.junit4.JUnit4IdeaTestRunner.startRunnerWithArgs(JUnit4IdeaTestRunner.java:68) [junit-rt.jar:na]
! at com.intellij.rt.execution.junit.IdeaTestRunner$Repeater.startRunnerWithArgs(IdeaTestRunner.java:51) [junit-rt.jar:na]
! at com.intellij.rt.execution.junit.JUnitStarter.prepareStreamsAndStart(JUnitStarter.java:237) [junit-rt.jar:na]
! at com.intellij.rt.execution.junit.JUnitStarter.main(JUnitStarter.java:70) [junit-rt.jar:na]
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