We’re converting our model from keras unet model on TF1.15 trained on desktop GPU to be deployed on Jetson TX2. Before the TX2 is online, we did a test and see how much faster is the TensorRT models are (float32, float16) on the desktop GPU and surprised to see no real difference. Is that normal or we only see the difference on Jetson devices?
Thanks.
Kelvin