Dynamic shape support follow-up

[adonnini]

@alankelly I am using XNNPACK with Executorch to lower my model to an Android device and run it for inference.
Running the lowered model for inference fails because of a lack of dynamic shape support in XNNPACK.
I saw that back in October dynamic shape support was being worked on (#5656).
What is the current status?
By the way, I opened an issue on this in the Executorch repo (pytorch/executorch#1350) and communicating with @mcr229 about it.
Thanks

[alankelly]

XNNPack now supports dynamic shapes and this is wired up to TFLite and tested and working. This seems like an ExecuTorch issue so please follow up with them.