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License: MIT License
DeepJava (DJ) is a DeepLearning framework for Java 10
License: MIT License
Currently we have the problem with the test that measures the quality: https://circleci.com/gh/b0noI/DeepJava/4?utm_campaign=vcs-integration-link&utm_medium=referral&utm_source=github-build-link
Quality, after 1000 iterations, might be less from what we expecting, causing the failure. IMHO we should increase the quality level that we are expecting.
java.io.InvalidClassException: com.dj.core.serializer.ModelWrapper; local class incompatible: stream classdesc serialVersionUID = -5674594797353358206, local class serialVersionUID = 6179854597939874036
at java.base/java.io.ObjectStreamClass.initNonProxy(ObjectStreamClass.java:689)
at java.base/java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1894)
at java.base/java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1763)
at java.base/java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2051)
at java.base/java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1585)
at java.base/java.io.ObjectInputStream.readObject(ObjectInputStream.java:422)
at com.dj.core.serializer.SerializerHelper.deserializeFromFile(SerializerHelper.java:25)
at com.dj.models.mnist.MnistTrainerTest.testTrainMnistContinue(MnistTrainerTest.java:21)
at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.base/java.lang.reflect.Method.invoke(Method.java:564)
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)
Currently, there is no way to tell when the graph has processed the iteration. There should be a way to attach a listener to the graph and listen when an iteration is over. Currently, you can find Thread.sleep in the tests. Basically, we just assuming that some time of waiting is enough for the graph to process the calculation.
With something like: http://graphstream-project.org/doc/Tutorials/Graph-Visualisation/
Maybe to start we can use something simple, terminal visualizer
Includes:
We need to know a base line, that we can start improving.
Ideally, there should be a test that trains a model on the MNIST dataset.
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