Hi,
I am trying to deploy a pytorch deep learning to stm32. I first converted it to an onnx model and after that verified it in STM32Cube.AI Developer Cloud and in the middle step of optimize it reported the following error.
When I look at the model visualization in netron I see that the gemm operation is only present in the last linear layer, but that operation is converting 1x702 data to 1x2. I don't know if there's something I'm missing.Would be great if you could assist me in resolving this issue.
Hi, I am trying to deploy a pytorch deep learning to stm32. I first converted it to an onnx model and after that verified it in STM32Cube.AI Developer Cloud and in the middle step of optimize it reported the following error.
When I look at the model visualization in netron I see that the gemm operation is only present in the last linear layer, but that operation is converting 1x702 data to 1x2. I don't know if there's something I'm missing.Would be great if you could assist me in resolving this issue.
Thank you!