(self, q1, q2)
| 35 | return q_id_pred.cpu().numpy().tolist() |
| 36 | |
| 37 | def predict_sim(self, q1, q2): |
| 38 | q1_v = self.predict_vec(q1) |
| 39 | q2_v = self.predict_vec(q2) |
| 40 | sim = F.cosine_similarity(q1_v[0], q2_v[0], dim=-1) |
| 41 | return sim.numpy().tolist() |
| 42 | |
| 43 | if __name__ == "__main__": |
| 44 | import time,random |