Error while analyzing my deep learning model(.h5) in stm32 mx (board used is nucleo-h753zi)

[Pinagadi_Meghana]

Could you please check if the attached .h5 model has anything wrong...
It is not analyzing and always producing error...
If anything is wrong... please correct it and resend please

Analyzing model 
C:/Users/surya/STM32Cube/Repository/Packs/STMicroelectronics/X-CUBE-AI/10.0.0/Utilities/windows/stedgeai.exe analyze --target stm32h7 --name network -m C:/Users/surya/Downloads/updated_cnn.h5 --compression none --verbosity 1 --workspace C:/Users/surya/AppData/Local/Temp/mxAI_workspace1320364323860015601918210486046641 --output C:/Users/surya/.stm32cubemx/network_output 
ST Edge AI Core v2.0.0-20049 
E010(InvalidModelError): Couldn't load Keras model C:\Users\surya\Downloads\updated_cnn.h5, 
Error when deserializing class 'InputLayer' using config={'batch_shape': [None, 128, 1], 'dtype': 'float32', 'sparse': False, 'name': 'input_layer_11'}. 
Exception encountered: Unrecognized keyword arguments: ['batch_shape']

[Julian E.]

Hello @Pinagadi_Meghana,

 

There is probably something wrong happening during the conversion due to the input shape of your model.

I'll check and update you once I find the issue.

 

Have a good day,

Julian

[Pinagadi_Meghana]

Okay mam...
PLease update me as soon as possible

[Julian E.]

Hello @Pinagadi_Meghana ,

 

Keras3 is not currently supported but it will be in the next release of the ST Edge AI Core.

So either use a compatible version of keras

https://stedgeai-dc.st.com/assets/embedded-docs/supported_ops_keras.html 

Or wait for next release (I think it should be updated in April)

Have a good day,

Julian