2.12.0: memory leak in TFLite's tflite::Interpreter::Invoke() about tensorflow

[gestalone]

I am able to reproduce this in the benchmark android_aarch64_benchmark_model of the tf nightly build

[gestalone]

@sushreebarsa can you take a look?

[sushreebarsa]

@gestalone Could you please try to upgrade to the latest TF version as memory leak issues are often addressed in subsequent versions. Kindly let us know if it is appearing in the latest and try to explore if your stable delegate library supports alternative back-ends besides OpenCL?
Thank you!

[gestalone]

Hi @sushreebarsa, I was able to reproduce it with the benchmark 2.16 version. I tried the opengl backend of the gpu delegate, but unfortunately is not working.
it's quite easy to test, just use the android benchmark, with any tensorflow approved model using the gpu delegate.
The tutorial can be followed from here.
https://www.tensorflow.org/lite/performance/measurement
I think should be fixed, as memory leaks give quite a lot of issues.

[gestalone]

@sawantkumar, any help here?