[v0.11.0][Bugfix][MoE] enable force_load_balance in aclgraph (#4367)

### What this PR does / why we need it?
Enable force_load_balance in aclgraph, solving OOM issues.
pick from #4366
### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
e2e & ut

Signed-off-by: Pr0Wh1teGivee <[email protected]>

Author: Pr0Wh1teGivee

vllm_ascend/ops/common_fused_moe.py

@@ -19,7 +19,7 @@
 
 import torch
 import torch_npu
-from vllm.config import CompilationLevel, get_current_vllm_config
+from vllm.config import get_current_vllm_config
 from vllm.distributed import (get_dp_group, get_ep_group, get_tp_group,
                               tensor_model_parallel_all_reduce)
 from vllm.forward_context import get_forward_context
@@ -51,20 +51,7 @@ class AscendUnquantizedFusedMoEMethod(UnquantizedFusedMoEMethod):
     def __init__(self, moe: FusedMoEConfig = None):
 
         super().__init__(moe=moe)
-
-        # NOTE: Currently, this self.use_aclgraph is only used in
-        # UnquantizedFusedMoEMethod.forward_oot to decide whether to use in
-        # ops/fused_moe.py:568 to circumvent torch.randint_like not supported issue.
-        # Once torch.randint_like is supported or removed, this flag can be removed.
-        vllm_config = get_current_vllm_config()
-        ascend_config = get_ascend_config()
         self.dynamic_eplb = get_ascend_config().dynamic_eplb
-        if ascend_config.torchair_graph_config.enabled:
-            self.use_aclgraph = False
-        else:
-            self.use_aclgraph = (vllm_config.compilation_config.level
-                                 == CompilationLevel.PIECEWISE and
-                                 not vllm_config.model_config.enforce_eager)
         self.transpose = True
 
     def process_weights_after_loading(self, layer):
@@ -133,7 +120,7 @@ def apply(self,
         # this is a naive implementation for experts load balance so as
         # to avoid accumulating too much tokens on a single rank.
         # currently it is only activated when doing profile runs.
-        if enable_force_load_balance and not self.use_aclgraph:
+        if enable_force_load_balance:
             topk_ids = torch.randint_like(topk_ids, 0, global_num_experts)
 
         moe_comm_method = get_forward_context().moe_comm_method