X-Cube-AI >> CNN+LSTM: NOT IMPLEMENTED: UNsupported layer types:...
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‎2024-12-09 9:34 PM
Dear Sir/Madam,
I am trying to deploy a trained AI model (CNN+LSTM) to STM32F767. When I tried to analyse the TFlite file with the STM32CubeMX, it stopped and gave the following message:
Could you please help me sorting out this issue?
Thanks
QS
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‎2024-12-10 2:51 AM - edited ‎2024-12-10 8:29 AM
Hello @qs202310,
Your issue here is that your model uses unsupported layers: FlexTensorListStack, WHILE, FlexTensorListReserve
The list of currently supported layers can be found here: https://stedgeai-dc.st.com/assets/embedded-docs/supported_ops_tflite.html
We are constantly improving our tools but for the moment, you need to manually modify your network if you can or use another model.
I think that the ST Edge AI core has been updated today, you can try to use the ST Dev cloud (Session - ST Edge AI Developer Cloud) and see it works, but I don't know if the layers that you need have been implemented.
Have a good day,
Julian
In order to give better visibility on the answered topics, please click on 'Accept as Solution' on the reply which solved your issue or answered your question.
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‎2024-12-10 2:51 AM - edited ‎2024-12-10 8:29 AM
Hello @qs202310,
Your issue here is that your model uses unsupported layers: FlexTensorListStack, WHILE, FlexTensorListReserve
The list of currently supported layers can be found here: https://stedgeai-dc.st.com/assets/embedded-docs/supported_ops_tflite.html
We are constantly improving our tools but for the moment, you need to manually modify your network if you can or use another model.
I think that the ST Edge AI core has been updated today, you can try to use the ST Dev cloud (Session - ST Edge AI Developer Cloud) and see it works, but I don't know if the layers that you need have been implemented.
Have a good day,
Julian
In order to give better visibility on the answered topics, please click on 'Accept as Solution' on the reply which solved your issue or answered your question.
