[Main2Main] Upgrade vllm commit to 0109 (#5752)

### What this PR does / why we need it?
Upgrade vllm commit to 0109 (bde38c11df0ea066a740efe9b77fff5418be45df)

1. remove `init_cached_hf_modules ` due to
https://github.com/vllm-project/vllm/pull/31786
2. fix spec_decode e2e test due to
https://github.com/vllm-project/vllm/pull/29821 break
3. fix `vllm.v1.attention.backends.utils` duo to
https://github.com/vllm-project/vllm/pull/31891
4. fix `self.seq_lens - query_lens` on same device due to
https://github.com/vllm-project/vllm/pull/31773
5. skip model_runner_v2 e2e test due to `'_OpNamespace' '_C' object has
no attribute 'get_cuda_view_from_cpu_tensor'`

- vLLM version: v0.13.0
- vLLM main:
2f4e6548ef

Signed-off-by: hfadzxy <starmoon_zhang@163.com>

tests/ut/ops/test_rotary_embedding.py

@@ -78,6 +78,12 @@ class TestAscendRotaryEmbedding(unittest.TestCase):
 
     def setUp(self):
         # Common setup for tests
+        self.config_patcher = patch('vllm.config.vllm.get_current_vllm_config')
+        self.mock_get_config = self.config_patcher.start()
+        mock_config = MagicMock()
+        mock_config.compilation_config.custom_ops = ["all"]
+
+        self.mock_get_config.return_value = mock_config
         self.positions = torch.tensor([1, 2, 3])
         self.query = torch.randn(3, 1, 32, dtype=torch.float16)
         self.key = torch.randn(3, 1, 32, dtype=torch.float16)
@@ -242,6 +248,12 @@ class TestAscendDeepseekScalingRotaryEmbedding(TestBase):
 
     def setUp(self):
         # Common setup for tests
+        self.config_patcher = patch('vllm.config.vllm.get_current_vllm_config')
+        self.mock_get_config = self.config_patcher.start()
+        mock_config = MagicMock()
+        mock_config.compilation_config.custom_ops = ["all"]
+
+        self.mock_get_config.return_value = mock_config
         self.positions = torch.tensor([1, 2, 3])
         self.query = torch.randn(3, 1, 32, dtype=torch.float16)
         self.key = torch.randn(3, 1, 32, dtype=torch.float16)
@@ -368,7 +380,11 @@ class TestAscendDeepseekScalingRotaryEmbedding(TestBase):
 class TestAscendMRotaryEmbedding(unittest.TestCase):
 
     def setUp(self):
-        # Common setup for tests
+        self.config_patcher = patch('vllm.config.vllm.get_current_vllm_config')
+        self.mock_get_config = self.config_patcher.start()
+        mock_config = MagicMock()
+        mock_config.compilation_config.custom_ops = ["all"]
+        self.mock_get_config.return_value = mock_config
         self.number_tokens = 3
         self.num_head = 8
         self.num_kvhead = 8