[BugFix]Fix moe load problems in torchair when using dynamic eplb (#3381)

### What this PR does / why we need it?

When using dynamic eplb, moe load is not imported. We fix this problem
by modifying the return value of hidden states in torchair.

### Does this PR introduce _any_ user-facing change?

### How was this patch tested?
DeepseekV3 in A3.


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

---------

Signed-off-by: daishixun <dsxsteven@sina.com>

vllm_ascend/torchair/ops/torchair_fused_moe.py

@@ -1279,13 +1279,15 @@ class TorchairAscendFusedMoE(FusedMoE):
         )
 
         if shared_experts:
-            if isinstance(e_hidden_states, tuple):
+            if isinstance(e_hidden_states,
+                          tuple) and len(e_hidden_states) == 2:
                 e_hidden_states, shared_hidden_states = e_hidden_states
 
         if self.dynamic_eplb and isinstance(
                 e_hidden_states, tuple) and len(e_hidden_states) == 3:
-            self.moe_load += e_hidden_states[2] if e_hidden_states[1] == 0 else \
-                torch.cat(e_hidden_states[2][:1], e_hidden_states[2][1:] - e_hidden_states[2][:-1])
+            e_hidden_states, group_list_type, expert_tokens = e_hidden_states
+            self.moe_load += expert_tokens if group_list_type else \
+                torch.cat([expert_tokens[:1], expert_tokens[1:] - expert_tokens[:-1]])
 
         if (fused_moe_state not in [
                 FusedMoEState.AllGather, FusedMoEState.AllGatherEP,