fix-gate-compile

ktransformers/operators/gate.py

@@ -125,7 +125,7 @@ class KMoEGate(BaseInjectedModule, KMoEGateBase):
 
 # adapted from https://github.com/vllm-project/vllm/blob/c77620d22d43daa7e0440e6267cbdd83f849ac64/vllm/model_executor/layers/fused_moe/fused_moe.py#L1071
 # This is used by the Deepseek-V2 and Deepseek-V3 model
-#@torch.compile(dynamic=True)
+@torch.compile(dynamic=True)
 def grouped_topk(hidden_states: torch.Tensor,
                  gating_output: torch.Tensor,
                  topk: int,
@@ -225,9 +225,8 @@ class KMoEGateDeepSeekV3(BaseInjectedModule, KMoEGateBase):
                 hidden_states.type(torch.float32), self.weight.type(torch.float32), None
             )
             
-        return grouped_topk(hidden_states, logits,
-                            self.top_k, self.norm_topk_prob,
-                            self.n_group, self.topk_group)
+        return grouped_topk(hidden_states, logits, self.top_k, self.norm_topk_prob,
+                    self.n_group, self.topk_group, "sigmoid", self.e_score_correction_bias)
 
     def load(self, w: dict | nn.Parameter | tuple | None = None, device: str|None = None):
         if device is None: device = self.device