Make torch compile configurable for biased_grouped_topk (#4749)

python/sglang/srt/layers/moe/topk.py

@@ -129,8 +129,7 @@ def grouped_topk(
     return topk_weights.to(torch.float32), topk_ids.to(torch.int32)
 
 
-@torch.compile(dynamic=True, backend=get_compiler_backend())
+def biased_grouped_topk_impl(
-def biased_grouped_topk(
     hidden_states: torch.Tensor,
     gating_output: torch.Tensor,
     correction_bias: torch.Tensor,
@@ -171,6 +170,34 @@ def biased_grouped_topk(
     return topk_weights.to(torch.float32), topk_ids.to(torch.int32)
 
 
+def biased_grouped_topk(
+    hidden_states: torch.Tensor,
+    gating_output: torch.Tensor,
+    correction_bias: torch.Tensor,
+    topk: int,
+    renormalize: bool,
+    num_expert_group: int = 0,
+    topk_group: int = 0,
+    compiled: bool = True,
+):
+    biased_grouped_topk_fn = (
+        torch.compile(
+            biased_grouped_topk_impl, dynamic=True, backend=get_compiler_backend()
+        )
+        if compiled
+        else biased_grouped_topk_impl
+    )
+    return biased_grouped_topk_fn(
+        hidden_states,
+        gating_output,
+        correction_bias,
+        topk,
+        renormalize,
+        num_expert_group,
+        topk_group,
+    )
+
+
 def select_experts(
     hidden_states: torch.Tensor,
     router_logits: torch.Tensor,