Slightly improve the sampler to skip unnecessary steps (#6956)

python/sglang/srt/sampling/sampling_batch_info.py

@@ -9,10 +9,12 @@ import torch
 
 import sglang.srt.sampling.penaltylib as penaltylib
 from sglang.srt.sampling.custom_logit_processor import CustomLogitProcessor
+from sglang.srt.sampling.sampling_params import TOP_K_ALL
 
 if TYPE_CHECKING:
     from sglang.srt.managers.schedule_batch import ScheduleBatch
 
+
 logger = logging.getLogger(__name__)
 
 
@@ -27,6 +29,12 @@ class SamplingBatchInfo:
     # Whether all requests use greedy sampling
     is_all_greedy: bool
 
+    # Whether any requests use top_p sampling
+    need_top_p_sampling: bool
+
+    # Whether any requests use top_k sampling
+    need_top_k_sampling: bool
+
     # Whether any request needs min_p sampling
     need_min_p_sampling: bool
 
@@ -133,6 +141,8 @@ class SamplingBatchInfo:
             top_ks=top_ks,
             min_ps=min_ps,
             is_all_greedy=all(r.sampling_params.top_k <= 1 for r in reqs),
+            need_top_p_sampling=any(r.sampling_params.top_p != 1.0 for r in reqs),
+            need_top_k_sampling=any(r.sampling_params.top_k != TOP_K_ALL for r in reqs),
             need_min_p_sampling=any(r.sampling_params.min_p > 0 for r in reqs),
             vocab_size=vocab_size,
             penalizer_orchestrator=penalizer_orchestrator,
@@ -167,7 +177,7 @@ class SamplingBatchInfo:
 
         # Apply the mask
         for i, grammar in enumerate(self.grammars):
-            if grammar and not grammar.finished:
+            if grammar and not grammar.finished and not grammar.is_terminated():
                 grammar.fill_vocab_mask(self.vocab_mask, i)
 
         # Move the mask to the device if needed
@@ -308,4 +318,6 @@ class SamplingBatchInfo:
             setattr(self, item, torch.cat([self_val, other_val]))
 
         self.is_all_greedy &= other.is_all_greedy
+        self.need_top_p_sampling |= other.need_top_p_sampling
+        self.need_top_k_sampling |= other.need_top_k_sampling
         self.need_min_p_sampling |= other.need_min_p_sampling