[Feat][Graph] Support DeepSeek with ACL Graph (#2707)

### What this PR does / why we need it?
In memory of #677 , a long overdue milestone. Now DeepSeek V3/R1 should
be OK with ACL Graph.

### Does this PR introduce _any_ user-facing change?
None.

### How was this patch tested?
Working on it.

- vLLM version: v0.10.2
- vLLM main:
68dbde5dbb

---------

Signed-off-by: Yizhou Liu <liu_yizhou@outlook.com>

tests/ut/test_ascend_config.py

@@ -215,21 +215,6 @@ class TestAscendConfig(TestBase):
             test_vllm_config.model_config = fake_model_config
             init_ascend_config(test_vllm_config)
             check_ascend_config(test_vllm_config, False)
-        # aclgraph + deepseek model
-        with self.assertRaises(NotImplementedError):
-            test_vllm_config.additional_config = {
-                "torchair_graph_config": {
-                    "enabled": False,
-                },
-                "refresh": True
-            }
-            model_path = os.path.join(os.path.dirname(__file__), "fake_weight")
-            fake_model_config = ModelConfig(model=model_path)
-            fake_model_config.hf_config = PretrainedConfig()
-            fake_model_config.hf_config.model_type = "deepseek"
-            test_vllm_config.model_config = fake_model_config
-            init_ascend_config(test_vllm_config)
-            check_ascend_config(test_vllm_config, False)
 
     def test_check_torchair_supported(self):
         test_cases = [('deepseek_v3', True), ('PanguProMoE', True),