[main][bugfix]Fix vLLM startup failure when inferring DeepSeek R1 model in DP scenario (#2020)

### What this PR does / why we need it?
Fix vLLM startup failure when inferring DeepSeek R1 model in DP
scenario.
When running vLLM inference for the DeepSeek R1 model in DP32+TP1
configuration, the vLLM service fails to start with the following error.
<img width="1786" height="918" alt="21b2011042d4f77f36f5243fa64d9c18"
src="https://github.com/user-attachments/assets/df1963fe-587e-43ca-822e-a9094d0034fb"
/>
The root cause is a missing else branch after [this line of
code](d629f0b2b5/vllm_ascend/ops/fused_moe.py (L1411)).
This PR fixes the issue.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
CI passed with new added/existing test.


- vLLM version: v0.10.0
- vLLM main:
5bbaf492a6

---------

Signed-off-by: zhanghaiwen <zhanghaiwen@cmss.chinamobile.com>
Co-authored-by: zhanghaiwen <zhanghaiwen@cmss.chinamobile.com>

vllm_ascend/ops/fused_moe.py

@@ -1469,6 +1469,8 @@ class AscendFusedMoE(FusedMoE):
                     e_hidden_states, dim=0)
                 final_hidden_states = final_hidden_states[:num_tokens]
                 dispose_tensor(e_hidden_states)
+            else:
+                final_hidden_states = e_hidden_states
         else:
             final_hidden_states = e_hidden_states