Thanks, your decisive answer was helped. 
I fixed this problem like this.
in def load_state_dict(self, state_dict)
(in ...{pytorch}/lib/python2.7/site-packages/torch/nn/modules/module.py)
FROM
    own_state[name].copy_(param)

TO
if name != 'classifier.1.weight' and name != 'classifier.1.bias':
    own_state[name].copy_(param)

By skipping parameter copying.
Though it works in functionality,
I included classifier.4 and classifier.6 also for clearing classifiers.
I hope it’s helpful for someone.