TF Lite NNAPI delegate doesn't work with tf.keras.layers.CenterCrop layer

Not sure if this is the correct place to report this problem, or I should report it at tensorflow/tensorflow repository.

As said here, using Keras preprocessing layers as part of our model is recommended because:

Data augmentation will run on-device, synchronously with the rest of your layers, and benefit from GPU acceleration.

When you export your model using model.save, the preprocessing layers will be saved along with the rest of your model. If you later deploy this model, it will automatically standardize images (according to the configuration of your layers). This can save you from the effort of having to reimplement that logic server-side.

Unfortunately, if you add tf.keras.layers.CenterCrop preprocessing layer to your model, you will get this error when you try to run the converted tflite model using NNAPI delegate:
Internal error: Failed to apply delegate: Attempting to use a delegate that only supports static-sized tensors with a graph that has dynamic-sized tensors.

I don't see why would CenterCrop layer cause dynamic-sized tensors if we explicitly specify inputShape, seems like a bug. Using other Keras preprocessing layers like tf.keras.layers.Rescaling work just fine.