Fixed the issue where eagle3 TPOT was not as good as without eagle3. (#9404)

python/sglang/srt/speculative/eagle_utils.py

@@ -453,12 +453,13 @@ class EagleVerifyInput:
                     sampling_info.top_ks, self.draft_token_num, dim=0
                 ),
             )  # (bs * draft_token_num, vocab_size)
-            target_probs = top_p_renorm_prob(
-                target_probs,
-                torch.repeat_interleave(
-                    sampling_info.top_ps, self.draft_token_num, dim=0
-                ),
-            )
+            if not torch.all(sampling_info.top_ps == 1.0):
+                target_probs = top_p_renorm_prob(
+                    target_probs,
+                    torch.repeat_interleave(
+                        sampling_info.top_ps, self.draft_token_num, dim=0
+                    ),
+                )
             target_probs = target_probs.reshape(bs, self.draft_token_num, -1)
 
             draft_probs = torch.zeros(