Fix triton moe error caused by TopK refactor (#8705)

python/sglang/srt/layers/moe/fused_moe_triton/triton_kernels_moe.py

@@ -146,34 +146,3 @@ def triton_kernel_fused_experts(
     )
 
     return intermediate_cache3
-
-
-def triton_kernel_moe_forward_fake(
-    hidden_states: torch.Tensor,
-    w1: torch.Tensor,
-    w2: torch.Tensor,
-    gating_output: torch.Tensor,
-    topk: int,
-    renormalize: bool,
-    inplace: bool = False,
-    activation: str = "silu",
-    apply_router_weight_on_input: bool = False,
-    use_fp8_w8a8: bool = False,
-    per_channel_quant: bool = False,
-    global_num_experts: int = -1,
-    expert_map: Optional[torch.Tensor] = None,
-    w1_scale: Optional[torch.Tensor] = None,
-    w2_scale: Optional[torch.Tensor] = None,
-    a1_scale: Optional[torch.Tensor] = None,
-    a2_scale: Optional[torch.Tensor] = None,
-    block_shape: Optional[list[int]] = None,
-) -> torch.Tensor:
-    return torch.empty_like(hidden_states)
-
-
-direct_register_custom_op(
-    op_name="forward_cuda_triton",
-    op_func=triton_kernel_moe_forward,
-    mutates_args=[],
-    fake_impl=triton_kernel_moe_forward_fake,
-)