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Samebug tips

  1. ,
    Expert tip

    When installing an APK, it automatically extracts the libraries of the right arch type and has them available for System.loadLibrary. But, if you're trying to load a non-standard library, the installer won't know your app has 32bit native code.

  2. ,

    This is a sub-class of the LinkageError class and indicates that the JVM cannot find an appropriate native-language definition of a method declared as native. Compile a 64-bit version of your .dylib file.

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java.lang.UnsatisfiedLinkError: /home/ubuntu/.javacpp/cache/dl4j-cuda-specific-examples-0.7-SNAPSHOT-bin.jar/org/bytedeco/javacpp/linux-x86_64/ cannot open shared object file: No such file or directory	at java.lang.ClassLoader$NativeLibrary.load(Native Method)	at java.lang.ClassLoader.loadLibrary0(	at java.lang.ClassLoader.loadLibrary(	at java.lang.Runtime.load0(	at java.lang.System.load(	at org.bytedeco.javacpp.Loader.loadLibrary(	at org.bytedeco.javacpp.Loader.load(	at org.bytedeco.javacpp.Loader.load(	at org.bytedeco.javacpp.cuda.(	at java.lang.Class.forName0(Native Method)	at java.lang.Class.forName(	at org.bytedeco.javacpp.Loader.load(	at org.bytedeco.javacpp.Loader.load(	at org.bytedeco.javacpp.cublas.(	at org.nd4j.jita.allocator.context.impl.BasicContextPool.createNewCublasHandle(	at org.nd4j.jita.allocator.context.impl.LimitedContextPool.fillPoolWithResources(	at org.nd4j.jita.allocator.context.impl.LimitedContextPool.(	at org.nd4j.jita.handler.impl.CudaZeroHandler.(	at org.nd4j.jita.allocator.impl.AtomicAllocator.(	at org.nd4j.jita.allocator.impl.AtomicAllocator.(	at org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer.(	at org.nd4j.linalg.jcublas.buffer.factory.CudaDataBufferFactory.createHalf(	at org.nd4j.linalg.factory.Nd4j.createBuffer(	at org.nd4j.linalg.factory.Nd4j.createBuffer(	at org.nd4j.linalg.factory.BaseNDArrayFactory.create(	at org.nd4j.linalg.factory.Nd4j.create(	at org.nd4j.linalg.factory.Nd4j.create(	at org.deeplearning4j.examples.multigpu.MultiGpuLenetMnistExample.main(