Control Flow Ops with external delegate NPU
@DiXcipuli 
Could you please try to add the following dependency in your gradle file to model:
> org.tensorflow:tensorflow-lite-select-tf-ops:2.8

Please refer to this [doc](https://www.tensorflow.org/lite/guide/ops_select#run_inference)  and let us know if it helps.

Thank you! This issue has been automatically marked as stale because it has no recent activity. It will be closed if no further activity occurs. Thank you.
 Closing as stale. Please reopen if you'd like to work on this further.
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### 1. System information

- OS Platform and Distribution : Ubuntu20.04
- TensorFlow installation : conda
- TensorFlow library : 2.8.1

I am converting a pytorch model to Int8 quantize tensorflowlite model, to run it on a NXP board, on which I use delegates to make it run on the NPU. My original model contains an Unsqueeze block, which is somehow transformed into a While Ops (I can see that with netron, between the onnx and tflite model).

Running this model on the board with the delegate (**libvx_delegate.so**) gives me the error:
`ERROR: Attempting to use a delegate that only supports static-sized tensors with a graph that has dynamic-sized tensors.`

From this post: https://stackoverflow.com/questions/66682315/finding-dynamic-tensors-in-a-tflite-model I understand that the Control Flow Ops are treated as dynamic. My question is how can I run such a model with the delegate?
