enable deepseek CI on v1

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

Author: MengqingCao

.github/workflows/vllm_ascend_test.yaml

@@ -116,8 +116,7 @@ jobs:
             pytest -sv tests/ops
             pytest -sv tests/compile
           else
-            pytest -sv -k "QwQ" tests/multicard/test_offline_inference_distributed.py
-            pytest -sv tests/multicard/test_ilama_lora_tp2.py
+            pytest -sv tests/multicard/
             pytest -sv tests/ops
             pytest -sv tests/compile
           fi
@@ -131,9 +130,7 @@ jobs:
             pytest -sv tests/singlecard/test_offline_inference.py
             pytest -sv tests/ops
           else
-            pytest -sv tests/multicard/test_ilama_lora_tp2.py
-            pytest -sv -k "QwQ" tests/multicard/test_offline_inference_distributed.py
-            pytest -sv -k "DeepSeek" tests/multicard/test_offline_inference_distributed.py
+            pytest -sv tests/multicard/
             pytest -sv tests/ops
           fi
 

tests/multicard/test_offline_inference_distributed.py

@@ -30,11 +30,13 @@
 os.environ["PYTORCH_NPU_ALLOC_CONF"] = "max_split_size_mb:256"
 os.environ["VLLM_USE_MODELSCOPE"] = "True"
 
+MODELS = ["Qwen/QwQ-32B", "deepseek-ai/DeepSeek-V2-Lite"]
+DIST_EXECUTOR_BACKENDS = ["mp", "ray"]
 
-@pytest.mark.parametrize("model, distributed_executor_backend", [
-    ("Qwen/QwQ-32B", "mp"),
-    ("deepseek-ai/DeepSeek-V2-Lite", "mp"),
-])
+
+@pytest.mark.parametrize("model", MODELS)
+@pytest.mark.parametrize("distributed_executor_backend",
+                         DIST_EXECUTOR_BACKENDS)
 def test_models_distributed(model: str,
                             distributed_executor_backend: str) -> None:
     example_prompts = [