Simplify logits penalizer (#2086)

python/sglang/srt/sampling/sampling_batch_info.py

@@ -27,10 +27,10 @@ class SamplingBatchInfo:
 
     # Bias Tensors
     vocab_size: int
+    grammars: Optional[List] = None
     logit_bias: torch.Tensor = None
     vocab_mask: Optional[torch.Tensor] = None
     apply_mask: Optional[Callable[[torch.Tensor, torch.Tensor], None]] = None
-    grammars: Optional[List] = None
 
     # Penalizer
     penalizer_orchestrator: Optional[penaltylib.BatchedPenalizerOrchestrator] = None
@@ -211,25 +211,3 @@ class SamplingBatchInfo:
         self.logit_bias = SamplingBatchInfo.merge_bias_tensor(
             self.logit_bias, other.logit_bias, len(self), len(other), self.device
         )
-
-    def copy(self):
-        return SamplingBatchInfo(
-            temperatures=self.temperatures,
-            top_ps=self.top_ps,
-            top_ks=self.top_ks,
-            min_ps=self.min_ps,
-            is_all_greedy=self.is_all_greedy,
-            need_min_p_sampling=self.need_min_p_sampling,
-            vocab_size=self.vocab_size,
-            device=self.device,
-        )
-
-    def to(self, device: str):
-        for item in [
-            "temperatures",
-            "top_ps",
-            "top_ks",
-            "min_ps",
-        ]:
-            value = getattr(self, item)
-            setattr(self, item, value.to(device, non_blocking=True))