JVM error when trying to train model in memory map. DL4J

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I have hit a brick wall, in using DL4J. When I try to train my model inside a memory map, it only results in a JVM error. I am using DL4J 1.0.0 beta-6 (beta 7 was fussing over some source code issues that I couldn't resolve)

I will post the rest of my source code if I need. I know that the way the memory map works with the JVM is a "conceptual rabbit hole". I also know that a JVM error is not resolvable.

WorkspaceConfiguration mmap = WorkspaceConfiguration.builder()
    .initialSize(1000000000)
    .policyLocation(LocationPolicy.MMAP)
    .build();

//.............................................................................

try ( MemoryWorkspace ws = Nd4j.getWorkspaceManager().getAndActivateWorkspace(mmap, "M2")) {
    model.fit(dsi);
}

What can I do about this? I have absolutely no idea how to resolve this.

Full error:

    #
    # A fatal error has been detected by the Java Runtime Environment:
    #
    #  EXCEPTION_ACCESS_VIOLATION (0xc0000005) at pc=0x000000006e753800, pid=27336, tid=25676
    #
    # JRE version: Java(TM) SE Runtime Environment (16.0.1+9) (build 16.0.1+9-24)
    # Java VM: Java HotSpot(TM) 64-Bit Server VM (16.0.1+9-24, mixed mode, sharing, tiered, compressed oops, compressed class ptrs, g1 gc, windows-amd64)
    # Problematic frame:
    # [thread 12844 also had an error]
    [thread 18452 also had an error]
    [thread 2036 also had an error]
    [thread 9712 also had an error]
    [thread 21996 also had an error]
    [thread 14232 also had an error]
    [thread 23364 also had an error]
    C  [libopenblas_nolapack.dll+0xf93800]
    #
    # No core dump will be written. Minidumps are not enabled by default on client versions of Windows
    #
    # An error report file with more information is saved as:
    # C:\Local Files\Code\Java\Projects\AI\DeepLearning4J\projects\Dl4JTest\hs_err_pid27336.log
    #
    # If you would like to submit a bug report, please visit:
    #   https://bugreport.java.com/bugreport/crash.jsp
    # The crash happened outside the Java Virtual Machine in native code.
    # See problematic frame for where to report the bug.
    #
0

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