ivy dependency not working on windows or linux, native TF code not found on classpath

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System information

• OS Platform and Distribution (e.g., Linux Ubuntu 16.04 x86_64): Linux Ubuntu 23.04_ x86_64
• TensorFlow installed from (source or binary): binary
• TensorFlow version: 0.4.2
• Java version (i.e., the output of java -version): 1.8.1
• Java command line flags (e.g., GC parameters):
• Installed from Maven Central?: Yes, via ivy
• Bazel version (if compiling from source):
• GCC/Compiler version (if compiling from source):
• CUDA/cuDNN version:
• GPU model and memory:

Describe the problem
I'm trying to use tensorflow 2 with ivy.xml in java project. The problem is that the maven download is not complete. It only downloads either 1. no native platform, or 2. if I specify 2 platforms (windows and linux), it only downloads one of them. AND 3. when I manually download the relevant jars, it cannot find the native hooks.

Provide the exact sequence of commands / steps that you executed before running into the problem
I first tried ivy using these dependencies in various combinations, each time making sure to delete existing tensorflow jars from my ivy local cache folder:

    <dependency org="org.tensorflow" name="tensorflow-core-api" rev="0.4.2" m:classifier="linux-x86_64-gpu"/>
    <dependency org="org.tensorflow" name="tensorflow-core-api" rev="0.4.2" m:classifier="windows-x86_64-gpu"/>
    <dependency org="org.tensorflow" name="tensorflow-core-api" rev="0.4.2"/>

Since this did not work (I never got the full set of native jars), I downloaded the jars and put them in my local project jars folder, which is on the classpath.
jars/tensorflow-core-api-0.4.2.jar
jars/tensorflow-core-api-0.4.2-linux-x86_64-gpu.jar
jars/tensorflow-core-api-0.4.2-windows-x86_64-gpu.jar

These jars are added to the project classpath in netbeans 8.2 project dialog

Any other info / logs
Include any logs or source code that would be helpful to diagnose the problem. If including tracebacks, please include the full traceback. Large logs and files should be attached.

Here is the log output:

WARNING: java.lang.NoClassDefFoundError: java.lang.ClassNotFoundException: org.tensorflow.internal.c_api
    at org.bytedeco.javacpp.Loader.load(Loader.java:918)
    at org.bytedeco.javacpp.Loader.load(Loader.java:870)
    at org.tensorflow.NativeLibrary.load(NativeLibrary.java:48)
    at org.tensorflow.TensorFlow.<clinit>(TensorFlow.java:156)
    at java.lang.Class.forName0(Native Method)
    at java.lang.Class.forName(Class.java:264)
    at org.tensorflow.SavedModelBundle.<clinit>(SavedModelBundle.java:651)
    at net.sf.jaer.eventprocessing.filter.MLPNoiseFilter.loadNetwork(MLPNoiseFilter.java:720)
    at net.sf.jaer.eventprocessing.filter.MLPNoiseFilter.initFilter(MLPNoiseFilter.java:550)
    at net.sf.jaer.eventprocessing.filter.NoiseTesterFilter.initFilter(NoiseTesterFilter.java:1073)
    at net.sf.jaer.eventprocessing.FilterChain.initFilters(FilterChain.java:454)
    at net.sf.jaer.graphics.AEViewer.setChip(AEViewer.java:5863)
    at net.sf.jaer.graphics.AEViewer.constructChip(AEViewer.java:1020)
    at net.sf.jaer.graphics.AEViewer.setAeChipClass(AEViewer.java:928)
    at net.sf.jaer.graphics.AEViewer.<init>(AEViewer.java:520)
    at net.sf.jaer.JAERViewer$RunningThread.run(JAERViewer.java:231)
    at java.awt.event.InvocationEvent.dispatch(InvocationEvent.java:311)
    at java.awt.EventQueue.dispatchEventImpl(EventQueue.java:756)
    at java.awt.EventQueue.access$500(EventQueue.java:97)
    at java.awt.EventQueue$3.run(EventQueue.java:709)
    at java.awt.EventQueue$3.run(EventQueue.java:703)
    at java.security.AccessController.doPrivileged(Native Method)
    at java.security.ProtectionDomain$JavaSecurityAccessImpl.doIntersectionPrivilege(ProtectionDomain.java:76)
    at java.awt.EventQueue.dispatchEvent(EventQueue.java:726)
    at java.awt.EventDispatchThread.pumpOneEventForFilters(EventDispatchThread.java:201)
    at java.awt.EventDispatchThread.pumpEventsForFilter(EventDispatchThread.java:116)
    at java.awt.EventDispatchThread.pumpEventsForHierarchy(EventDispatchThread.java:105)
    at java.awt.EventDispatchThread.pumpEvents(EventDispatchThread.java:101)
    at java.awt.EventDispatchThread.pumpEvents(EventDispatchThread.java:93)
    at java.awt.EventDispatchThread.run(EventDispatchThread.java:82)
Caused by: java.lang.ClassNotFoundException: org.tensorflow.internal.c_api
    at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
    at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:331)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
    at java.lang.Class.forName0(Native Method)
    at java.lang.Class.forName(Class.java:348)
    at org.bytedeco.javacpp.Loader.load(Loader.java:913)
    ... 29 more

Here is the screenshot showing contents of the linux native jar:

Commencez par les déclarations de dépendances Ivy et les trois jars TensorFlow 0.4.2 indiqués, puis suivez la stack trace depuis org.tensorflow.NativeLibrary.load jusqu’à org.bytedeco.javacpp.Loader.load. Vérifiez pourquoi les artefacts natifs propres à la plateforme n’exposent pas org.tensorflow.internal.c_api dans le classpath. Le travail est terminé lorsque les dépendances natives requises se résolvent pour les plateformes signalées et que l’initialisation de SavedModelBundle ne lève plus de ClassNotFoundException.