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Resolved! Does compressing the model speeds up the inference (prediction)?

HiI imported simple CNN to STM32L462RCT using STM32CUBE-AI v5.1.2 ApplicationTemplateI found that compressing the model has no effect on inference time.The aiRun procedure runs for 115ms both in 8-bit compression and "none" configurations although th...

Stateful LSTMs

When importing a Keras LSTM model, the stateful=True parameter seems to be ignored by Cube.AI, resulting in a state reset after every prediction. Is it somehow possible to prevent this state reset in Cube.AI, so that the model can actually be used in...

EPelz by Associate II
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  • 1 replies
  • 4 kudos

X-Cube-AI 5.1.2 "Internal Error" with ONNX file

I created a sklearn random forest decision tree, which I would like deploy to a STM32H743. I am unable to "Analyse" or "Validate" the model in X-Cube-AI Ver 5.1.2. All I get is an "internal error" message in the log file.The conversion to ONNX was do...

jht76 by Associate
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  • 1 replies
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INTERNAL ERROR (Stm32com Exception)

Hello,I am currently using X-CUBE-AI library to run neural networks on a stm32h747. I successfully generated and validated on board single input and output networks, but when I execute the validation through CLI with a multi output network, I get an ...

Unable to load asc_keras_mod_93_int8.tflite from FP-AI-SENSING-1 using various tensorflow versions in python. Error message: ValueError: quantized_dimension must be in range [0, 1). Was 3.

Hello,I am currently working with the acoustic scene classification (ASC) of the FP-AI-SENSING1 project.I tried to load the tflite model, which is provided at: STM32CubeFunctionPack_SENSING1_V4.0.2\Utilities\AI_Ressources\models\asc_keras_mod_93_int8...

Ilkay1 by Associate
  • 364 Views
  • 1 replies
  • 0 kudos