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

该 issue 没有指出任何 repository 文件、测试或入口点。首先跟踪 TensorFlow Java 的原生库加载和 classloader 处理，然后使用报告中的 variant-op 注册失败来复现依次加载两个 TensorFlow 版本的情况。完成标准是记录是否支持卸载，并在存在可行方案的情况下，确定一种经过验证的、分别加载各版本的方法。