Hi, friends
Model run on CPU.
I just stack a network(i.e. ResNet) and random a tensor, then immediately run forward to test inference time that is fast about 150ms.
Then, I train the network with datasets(Cityscapes) until model convergence, next, I test inference time using trained weight to initialize network on CPU again, however it is slow about 200ms.
I found that they weight parameter is different show as above.