tensorflow-hub model to frozen graph

[ClarkChin08]

Hi lei mao:
Thanks for your blog <<Save, Load and Inference From TensorFlow Frozen Graph>> , that benefits a lot to me as I’m enabling
a style transfer model from tf-hub.
I come across some problems, simply using codes it’s like this:

import tensorflow_hub as hub
hub_handle = 'https://hub.tensorflow.google.cn/google/magenta/arbitrary-image-stylization-v1-256/2’
style_model = hub.load(hub_handle)

The style_model is a saved model: tensorflow.python.saved_model.load.Loader._recreate_base_user_object._UserObject
we can use the style_model to get stylized image prediction:

outputs = style_model(tf.constant(content_image), tf.constant(style_image))

I can also get the signatures as a function to run the model

func = style_model.signatures['serving_default']
outputs = func(tf.constant(content_image), tf.constant(style_image))

Then I try to freeze the func.graph but I come across problems

[op.type for op in func.graph.get_operations()]

The feeds and variables all become Placeholder!

['Placeholder', 'Placeholder', 'Placeholder', 'Placeholder', 'Placeholder’….. 'StatefulPartitionedCall', 'Identity']

Do you know how this happened? Or any solutions about this issue? Many thanks!

Thanks!