[Bugfix] [MoE] fix error in deepseek when using allgather (#3824)

### 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

- vLLM version: v0.11.0rc3
- vLLM main:
https://github.com/vllm-project/vllm/commit/releases/v0.11.1

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

vllm_ascend/ops/fused_moe/moe_comm_method.py

@@ -64,13 +64,12 @@ class MoECommMethod(ABC):
         hidden_states: torch.Tensor,
         router_logits: torch.Tensor,
         enable_shared_expert_dp: bool = False,
-        replace_allreduce: bool = False,
-        gate=None
+        replace_allreduce: bool = False
     ) -> tuple[torch.Tensor, torch.Tensor, Optional[torch.Tensor],
                Optional[torch.Tensor]]:
         hidden_states, router_logits, mc2_mask, context_metadata = self.prepare_finalize.prepare(
             hidden_states, router_logits, enable_shared_expert_dp,
-            replace_allreduce, gate)
+            replace_allreduce)
         return hidden_states, router_logits, mc2_mask, context_metadata
 
     def finalize(self,