[bugfix][LoRA] Fix the lora accuracy issue introduced by the upstream vLLM changed. (#6958)

### What this PR does / why we need it?
Fix the LoRA e2e test accuracy issue that introduced by the upstream PR
https://github.com/vllm-project/vllm/pull/32005

### How was this patch tested?
pytest -sv tests/e2e/singlecard/test_llama32_lora.py

- vLLM version: v0.16.0
- vLLM main:
15d76f74e2
---------
Signed-off-by: paulyu12 <507435917@qq.com>
Signed-off-by: yupeng <507435917@qq.com>

tests/e2e/singlecard/test_llama32_lora.py

@@ -3,7 +3,6 @@
 
 from unittest.mock import patch
 
-import pytest
 import vllm
 import vllm.config
 from vllm.lora.request import LoRARequest
@@ -126,7 +125,6 @@ def generate_and_test(llm, llama32_lora_files, tensorizer_config_dict: dict | No
     print("removing lora")
 
 
-@pytest.mark.skip(reason="fix me")
 @patch.dict("os.environ", {"VLLM_USE_MODELSCOPE": "False"})
 def test_llama_lora(llama32_lora_files):
     vllm_model = VllmRunner(