(knn_log_probs, lm_log_probs, lmbda=0.25)
| 10 | EMBED_PAD_NUM = -10000 |
| 11 | |
| 12 | def interpolate(knn_log_probs, lm_log_probs, lmbda=0.25): |
| 13 | interpolated = torch.logaddexp( |
| 14 | lm_log_probs + np.log(1 - lmbda), |
| 15 | knn_log_probs + np.log(lmbda)) |
| 16 | |
| 17 | return interpolated |
| 18 | |
| 19 | def kl_loss_evaluate(logits, batch, tokenizer, args, knn_label, knn_prob): |
| 20 | label_probs = knn_prob |