How to keep track of which model parameters are frozen?

1

I was using

for p in model.parameters():
    print(p)

to keep track of parameters. However, after trained the model, the unfrozen parameter values do not change.

2

You could check if these parameters were getting a valid gradient accumulated into their .grad attribute after the first backward() operation. If not, then the computation graph might have been detached.