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.
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.