Reapply "[MoE] [Refactor] Remove manual memory cleanup (#3365)" (#3483) (#3512)

### What this PR does / why we need it?
1. Replace manual memory cleanup with passing parameter.
2. FusedMoEPrepareAndFinalizeWithMC2 inherits All2All avoid duplicated
code.
3. Fix MC2 bug introduced in
https://github.com/vllm-project/vllm-ascend/pull/3365
4. Unify aclgraph & eager in W8A8_dynamic.
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
e2e & ut

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

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

vllm_ascend/ops/common_fused_moe.py

@@ -144,7 +144,8 @@ class AscendUnquantizedFusedMoEMethod(UnquantizedFusedMoEMethod):
             expert_map=expert_map,
             shared_experts=shared_experts,
             apply_router_weight_on_input=apply_router_weight_on_input,
-            dynamic_eplb=self.dynamic_eplb)
+            dynamic_eplb=self.dynamic_eplb,
+            mc2_mask=kwargs.get("mc2_mask", None))
 
 
 class AscendFusedMoE(FusedMoE):
@@ -305,7 +306,7 @@ class AscendFusedMoE(FusedMoE):
         enable_force_load_balance = forward_context.in_profile_run
 
         forward_context = get_forward_context()
-        hidden_states, router_logits = forward_context.moe_comm_method.prepare(
+        hidden_states, router_logits, mc2_mask, context_metadata = forward_context.moe_comm_method.prepare(
             hidden_states=hidden_states,
             router_logits=router_logits,
             replace_allreduce=forward_context.sp_enabled,
@@ -333,7 +334,8 @@ class AscendFusedMoE(FusedMoE):
             shared_experts=None,
             enable_force_load_balance=enable_force_load_balance,
             log2phy=self.log2phy,
-            global_redundant_expert_num=self.global_redundant_expert_num)
+            global_redundant_expert_num=self.global_redundant_expert_num,
+            mc2_mask=mc2_mask)
 
         if isinstance(final_hidden_states, tuple):
             final_hidden_states, group_list_type, expert_tokens = final_hidden_states
@@ -344,7 +346,8 @@ class AscendFusedMoE(FusedMoE):
 
         final_hidden_states = forward_context.moe_comm_method.finalize(
             hidden_states=final_hidden_states,
-            reduce_results=self.reduce_results)
+            reduce_results=self.reduce_results,
+            context_metadata=context_metadata)
 
         return final_hidden_states