Hello,
I'm using X-CUBE-AI to implement an ONNX model on a STM32H757I board.
In particular, the ONNX model is a PyTorch model that has been exported using the onnx library offered by the pyTorch framework.
The analysis procedure fails and reports the following error message:
INTERNAL ERROR: Mismatch in presence of batch size: [['H: 40', 'W: 1', 'CH: 6'], (Empty)] vs. [['BATCH: 1', 'CH: 6']]
But the model input have static dimension, and running get_inputs() on the onnx model returns:
NodeArg(name='actual_input_1', type='tensor(float)', shape=[40,1,6])
The model seems to comply with the constraints reported in the STM32CubeAI documentation.
Can you help me identifying what's wrong with the model?
Thank you!
Andrea
