def __init__(self, opt: Opt, shared: TShared = None):
self.opt = opt
if torch.cuda.is_available():
torch.cuda.set_device('cuda:0')
self.generation_model = opt['generation_model']
self.regret = opt['regret']
self.regret_intermediate_maxlen = opt['regret_intermediate_maxlen']
self.retriever_query = opt['rag_retriever_query']
# Super call
self._generation_agent.__init__(self, opt, shared) # type: ignore
self.rag_model_type = opt['rag_model_type']
if not shared and self.regret:
self.regret_model = self.build_regret_model()
elif shared:
self.regret_model = shared.get('regret_model')
def __init__(self, opt: Opt, shared: TShared = None):
super().__init__(opt, shared)
if not shared:
self.docid_to_text = {}
else:
self.docid_to_text = shared.get('docid_to_text', {})