Interaction between Tensorflow Java and JavaCPP Pointer deallocation

I am trying to understand why when I use DJL + Tensorflow engine, there is a good amount of time spent in GC, while both DJL and Tensorflow Java seem to use pointerscope and do not relay on GC for object cleanup.

For example, I see JavaCPP Pointer.deallocator gets invoked https://github.com/bytedeco/javacpp/blob/master/src/main/java/org/bytedeco/javacpp/Pointer.java#L666-L667

which is a heavy synchronized call.

Any help is appreciated.

先阅读链接的 Pointer.java deallocator 实现，然后跟踪 DJL 和 TensorFlow 引擎在所报告工作负载期间如何使用 PointerScope。重现 GC 配置并比较 deallocator 活动；完成的标准是记录同步清理成本的原因，并确定一条经过验证的降低该成本的方向。