Yes, your workload is possible assuming you are not trying to manipulate the model architecture of the scripted model.
The potential issue I’ve mentioned before would arise if you are using this workflow:

save model using torch.jit.save(net_trace,‘model.pt’)
load the model
change the model architecture #!!!
train the model