STM32 MCUs Machine learning & AI

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Resolved! Model compression with quantized model

The STM32CubeMX AI tool has an option to compress a model. Is there any way to get compression to work on an quantized model? I'm guessing the answer is no because when I try with a .tflite or .onnx model it complains that only float or double is sup...

marchold by Associate II
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Implementation Error analyzing ONNX model

Hi,I'm trying to analyze my ONNX model (converted from PyTorch) in STM32 X-CUBE-AI version 8.1.0. But it shows this error: NOT IMPLEMENTED: Unsupported layer types: Expand.I can't find a solution on Google. What do I need to do to analyze/import my m...

Robin1 by Associate
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Cube.AI Developer Cloud Internal Error

Hello, I have recently discovered the cube.AI developer cloud tool and was trying to test it out. For that purpose i have created a small CNN based Auto Encoder neural network; I have created, trained and validated the network with PyTorch, then save...

1D Auto Encoder.onnx.png
Nea by Associate
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Good afternoon, I need to implement a model called "Machine Learning core" on my STM32WB board, I created the STM32WB+X-NucleoIKS01A3 stack. I need t...