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/quantization/w4a8_dynamic.py

@@ -393,7 +393,8 @@ class AscendW4A8DynamicFusedMoEMethod:
             shared_experts=shared_experts,
             quantized_x_for_share=quantized_x_for_share,
             dynamic_scale_for_share=dynamic_scale_for_share,
-            dynamic_eplb=self.dynamic_eplb)
+            dynamic_eplb=self.dynamic_eplb,
+            mc2_mask=kwargs.get("mc2_mask", None))
 
     def process_scale(self, weight: torch.Tensor, scale, per_group_scale):
         scale = scale.transpose(1, 2).contiguous()