Update 5.在无标记数据集上进行预训练.md

cn-Book/5.在无标记数据集上进行预训练.md

@@ -1069,8 +1069,9 @@ def generate(model, idx, max_new_tokens, context_size,
         idx_next = torch.argmax(logits, dim=-1, keepdim=True)
     if idx_next == eos_id:                                      #E
         break
+    idx_next = idx_next.unsqueeze(1)
     idx = torch.cat((idx, idx_next), dim=1)
-    return idx
+return idx
 
 
 #A For循环与之前相同：获取logits，仅关注最后的时间步