I am trying to deploy a model onto a STM32N6570-DK board. And I encountered some warnings that the Cube-AI cannot support the unsigned int weight and it cannot support other layers such as linear_dynamic and ATen. Iam wondering where I can get some information about what layers or other things the X-Cube-AI actually support so that I can fix may models.
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Thanks for the response and your help. It turns out that I have to modify the quantization program again since the torch always skips certain layers instead of turning them into a int8 type.
