Loading two different Tensorflow versions with different classloaders

Hello, I am creating a program that makes inference with already trained models and I want to allow changing the tensorflow versions on runtime. For that I am loading dynamically the JARS needed to run Inference with TF Java in a separate classloader. These JARs are not in the classpath of the main program. I expected that when the ClassLoader is garbage collected, the native libraries loaded by that classloader were going to be unloaded too. However that is not the case and I am not able to load two different versions of Tensorflow in the same run time one after the other. The error I get when I try to execute a command with the JARs corresponding to the second TF version loaded is :
2021-12-21 14:47:11.121313: F external/org_tensorflow/tensorflow/core/framework/variant_op_registry.cc:46] Check failed: existing == nullptr (0x7ff35a2acc38 vs. nullptr)Unary VariantDecodeFn for type_name: tensorflow::data::WrappedDatasetVariant already registered

Is this behaviour expected? Is there any way I can do what I want?
regards,
Carlos

The issue names no repository file, test, or entry point. Start by tracing TensorFlow Java's native library loading and classloader handling, then reproduce the sequential loading of two TensorFlow versions using the reported variant-op registration failure. Done means documenting whether unloading is supported and identifying a validated way to load versions separately, if one exists.