How to prepare tflite for vela compiler?

First of all, I'm not sure if it should be posted here.

If there is an error, please forgive me.

I want to try ethus-U NPU. (developer.arm.com/.../The-Vela-compiler

Therefore I need to use the vela compiler (pypi.org/.../)

I use the example of the following website to make a tflite (www.tensorflow.org/.../post_training_integer_quant)

Then use vela compiler to compile tflite, and then see this warning

 Warning: PACK 'sequential/reshape/Reshape/shape' is not supported on the NPU. Placing on CPU instead
  - Input(s) and Output tensors must not be dynamic
   Op has dynamic tensor(s): sequential/reshape/strided_slice2
 Warning: STRIDED_SLICE 'sequential/reshape/strided_slice2' is not supported on the NPU. Placing on CPU instead
  - Input(s) and Output tensors must not be dynamic
   Op has dynamic tensor(s): sequential/reshape/strided_slice2


I'm not sure what does ''dynamic'' mean for this compiler?

This code comes from part of the example mentioned above:

model = tf.keras.Sequential([
        tf.keras.layers.InputLayer(input_shape=(28, 28)),
        tf.keras.layers.Reshape(target_shape=(28,28,1),input_shape=(28,28,1)),
        tf.keras.layers.Conv2D(filters=12, kernel_size=(3,3),activation='relu'),
        tf.keras.layers.MaxPool2D(pool_size=(2, 2)),
        tf.keras.layers.Flatten(),
        tf.keras.layers.Dense(10)
])
l

I’m not sure if this is the case for functions like reshpae, or it’s my coding problem.

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