[v0.11.0] [Bugfix] [MoE]fix error in deepseek when using allgather (#3827)

### What this PR does / why we need it?
After refactoring vllm_ascend/models and FusedMoE, we are unable to pass
`gate` from deepseekv2.py to `AscendFusedMoE.forward`, which will result
in error when running deepseek v3/r1 with allgather.
Hence, this pr removes `gate` related computations from FusedMoE module
in eager/aclgraph mode.
### Does this PR introduce _any_ user-facing change?
`rm_router_logits` is deprecated in eager/aclgraph.
### How was this patch tested?
e2e & ut

Signed-off-by: Pr0Wh1teGivee <calvin_zhu0210@outlook.com>

vllm_ascend/ops/moe/moe_comm_method.py

@@ -63,15 +63,16 @@ class MoECommMethod(ABC):
         self.fused_moe_prepare_finalize = self._get_fused_moe_prepare_finalize(
         )
 
-    def prepare(self,
-                hidden_states: torch.Tensor,
-                router_logits: torch.Tensor,
-                enable_shared_expert_dp: bool = False,
-                replace_allreduce: bool = False,
-                gate=None) -> tuple[torch.Tensor, torch.Tensor]:
+    def prepare(
+            self,
+            hidden_states: torch.Tensor,
+            router_logits: torch.Tensor,
+            enable_shared_expert_dp: bool = False,
+            replace_allreduce: bool = False
+    ) -> tuple[torch.Tensor, torch.Tensor]:
         hidden_states, router_logits, mc2_mask = self.fused_moe_prepare_finalize.prepare(
             hidden_states, router_logits, enable_shared_expert_dp,
-            replace_allreduce, gate)
+            replace_allreduce)
         self.mc2_mask = mc2_mask
         return hidden_states, router_logits