Problem when moving a github project model to stm32cube AI

[uveuvenouve]

First , the github project is this
https://github.com/Xiaobin-Rong/gtcrn/tree/main

It has converted to onnx and tensorRT for ppl to use
but when i load the onnx model into stm32 for optimize/import (setting , compression : none , optimization : balance)
it just jumps out an error

X-cube-AI version is 9.1.0

ST Edge AI Core v1.0.0-19894 
INTERNAL ERROR: Trying to remove node_339 which has multiple inputs

is it because the multi input and output network limitation or something else?

and if i success to import this model
how to deal with the multi dimensional  tensor arrays that the github author demo ?

if you want to test on the model
there is the link for the onnx and tensorRT model
https://github.com/Xiaobin-Rong/TRT-SE/tree/main/online/models

Thanks in advance

Uveuvenouve

[Julian E. · Accepted solution]

Hello @uveuvenouve,

The issue here is that bidirectional LSTM are not supported in ST Edge AI

You can see below that your node_339 is the bidirectional LSTM:

You can find the list of supported ONNX operator in the ONNX toolboox page in the CubeAI Documentation:

https://wiki.st.com/stm32mcu/wiki/AI:X-CUBE-AI_documentation#X-CUBE-AI_embedded_documentation_access 

Concerning the LSTM:

Have a good day,

Julian

[uveuvenouve]

Thank you