Tensort model with FP16 give me float16 > 1.0 output with sigmoid activation


I created a tensort model with --best option with trtexec on jetson nano from an onnx model, derivated from a keras/tensorflow model.

When using it with float32 input, it works great. But it does not work with input float16.

The output of my last layer is a sigmoid activation so I normally not be able to have float >1.0 but I got values like 5e2, …

Do you have an idea of the problem which cause this and how to solve it ?

Thanks a lot for your help.


This looks like a Jetson issue. Please refer to the below samlples in case useful.

For any further assistance, we recommend you to raise it to the respective platform from the below link


Thanks, I will ask on jetson forum…