INNER CODE UNIT · Python
self_info
liyucheng09/Selective_Context · app/app.py:94
self_info = -torch.log(probs)
input_ids = encoding['input_ids']
input_ids_expaned = input_ids[:, 1:].unsqueeze(-1)
tokens = [self.tokenizer.decode(token_) for token_ in input_ids.squeeze().tolist()[1:]]
return tokens, self_info[:, :-1].gather(-1, input_ids_expaned).squeeze(-1).squeeze(0).tolist()
def _lexical_unit(self, sents):
if self.sent_level_self_info:
sent_self_info = []
all_noun_phrases = []
all_noun_phrases_info = []
all_tokens = []
all_token_self_info = []
for sent in sents: