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  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/libjnicuda.so: libcudart.so.7.5: cannot open shared object file: No such file or directory	at java.lang.ClassLoader$NativeLibrary.load(Native Method)	at java.lang.ClassLoader.loadLibrary0(ClassLoader.java:1941)	at java.lang.ClassLoader.loadLibrary(ClassLoader.java:1824)	at java.lang.Runtime.load0(Runtime.java:809)	at java.lang.System.load(System.java:1086)	at org.bytedeco.javacpp.Loader.loadLibrary(Loader.java:925)	at org.bytedeco.javacpp.Loader.load(Loader.java:750)	at org.bytedeco.javacpp.Loader.load(Loader.java:657)	at org.bytedeco.javacpp.cuda.(cuda.java:10)	at java.lang.Class.forName0(Native Method)	at java.lang.Class.forName(Class.java:348)	at org.bytedeco.javacpp.Loader.load(Loader.java:712)	at org.bytedeco.javacpp.Loader.load(Loader.java:657)	at org.bytedeco.javacpp.cublas.(cublas.java:12)	at org.nd4j.jita.allocator.context.impl.BasicContextPool.createNewCublasHandle(BasicContextPool.java:187)	at org.nd4j.jita.allocator.context.impl.LimitedContextPool.fillPoolWithResources(LimitedContextPool.java:84)	at org.nd4j.jita.allocator.context.impl.LimitedContextPool.(LimitedContextPool.java:50)	at org.nd4j.jita.handler.impl.CudaZeroHandler.(CudaZeroHandler.java:127)	at org.nd4j.jita.allocator.impl.AtomicAllocator.(AtomicAllocator.java:120)	at org.nd4j.jita.allocator.impl.AtomicAllocator.(AtomicAllocator.java:70)	at org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer.(BaseCudaDataBuffer.java:72)	at org.nd4j.linalg.jcublas.buffer.factory.CudaDataBufferFactory.createHalf(CudaDataBufferFactory.java:396)	at org.nd4j.linalg.factory.Nd4j.createBuffer(Nd4j.java:1311)	at org.nd4j.linalg.factory.Nd4j.createBuffer(Nd4j.java:1282)	at org.nd4j.linalg.factory.BaseNDArrayFactory.create(BaseNDArrayFactory.java:965)	at org.nd4j.linalg.factory.Nd4j.create(Nd4j.java:3254)	at org.nd4j.linalg.factory.Nd4j.create(Nd4j.java:3119)	at org.deeplearning4j.examples.multigpu.MultiGpuLenetMnistExample.main(MultiGpuLenetMnistExample.java:45)