Using NnApiDelegate in TFLite 2.11.0 returns same embeddings for all images. It works fine for 2.6.0

[gaikwadrahul8]

System information

• Have I written custom code (as opposed to using a stock example script
  provided in TensorFlow): Yes
• OS Platform and Distribution (e.g., Linux Ubuntu 16.04): MacOS 13.3.1
• Mobile device (e.g. iPhone 8, Pixel 2, Samsung Galaxy) if the issue
  happens on a mobile device: Xiaomi Poco F1
• TensorFlow Lite version: 2.11.0

Describe the problem

In my android app I'm using Facenet model to recognize faces. I have added NnApiDelegate to the interpreterOptions.
My app has been working with TFLite version 2.6.0. When I upgraded the TFLite version to 2.10.0 or 2.11.0, I see that the model returns the same embeddings for any image I provide.
Removing the NnApiDelegate works in 2.11.0, but it slows down the face recognition considerably, so I do not want to remove NnApiDelegate.

Source code / logs

Code for setting up the interpreter in Kotlin:

val interpreterOptions = Interpreter.Options()
interpreterOptions.addDelegate(NnApiDelegate())
interpreter = Interpreter(FileUtil.loadMappedFile(context, model.assetsFilename ) , interpreterOptions)

[gaikwadrahul8]

This issue originally reported by @shuaga has been moved to this dedicated repository for LiteRT to enhance issue tracking and prioritization. To ensure continuity, we have created this new issue on your behalf.

We appreciate your understanding and look forward to your continued involvement.

[pkgoogle]

Original Issue: tensorflow/tensorflow#60653