Can we freeze any of the model parameters in OpenNMT-py?

I am trying to do incremental training for domain adaptation. Few people have suggested to freeze model parameters(encoder, or decoder, or src_embedding or tgt_embedding) before starting with domain training.
Can any one tell if OpenNMT supports such facilities?? Hope to get some response as this is still an open issue for months here