If it is possible to convert the saved model to tflite model?

I downloaded the single person from here

https://omnomnom.vision.rwth-aachen.de/data/metrabs/metrabs_singleperson_smpl.zip

And want to convert the saved model to tflite model by tflite converter :

model = tf.saved_model.load("./metrabs_singleperson_smpl/")
converter = tf.lite.TFLiteConverter.from_concrete_functions(model.__call__.concrete_functions)
tfmodel = converter.convert()

then it crashed and the log is

InvalidArgumentError: Input 2 of node StatefulPartitionedCall was passed float from unknown:0 incompatible with expected resource.

Did I miss something while converting? Thanks for you good job ~~~

Issue Analytics

State:
Created 2 years ago
Comments:6 (2 by maintainers)

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2reactions

Nick22llcommented, Dec 1, 2021

I tried this conversion briefly as well but apparently some operation is not compatible with tflite. I’ll keep this open for now.

With the new models version (TF2), the mentioned operations are still incompatible?

I’m new to this world and I don’t understand much but I tried to convert like this: converter = tf.lite.TFLiteConverter.from_saved_model("./models/metrabs_eff2l_y4") and it raised an error: ValueError: Only support at least one signature key. It seems that there isn’t any signature but I checked the code (src/models/metrabs.py) and I saw a signature( and it isn’t t the only one). I’m missing something or it is an intentional behavior? Thanks for you hard work!

1reaction

isarandicommented, Dec 1, 2021

Can you let me know what your use case would be? The big model needs a powerful GPU anyway, so it’s not like you can deploy it easily on some lightweight embedded device. I’ll try looking into it though.

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