upgrade vLLM to main (#4608)

1. fix https://github.com/vllm-project/vllm/pull/28542
The model structure modifications we involved in are:
     - Qwen2.5-VL(still exist some patch)
     - Qwen2-VL
     - Qwen2
     - DeepSeek series
     - Qwen-moe series
2. fix https://github.com/vllm-project/vllm/pull/29121
   the output token now  type changed from np to `list[list[int]]`

3. fix https://github.com/vllm-project/vllm/pull/29262
    `xformers` backend for multimodal now has been deprecated
4. fix https://github.com/vllm-project/vllm/pull/29342

5. fix https://github.com/vllm-project/vllm/pull/28579
6. fix https://github.com/vllm-project/vllm/pull/28718
7. fix https://github.com/vllm-project/vllm/issues/28665
8. fix https://github.com/vllm-project/vllm/pull/26847
vllm introduced the `optimization-level`, some default config has been
changed, and the param `--enforce-eager` has been deprecated
9. fix http://github.com/vllm-project/vllm/pull/29223 it retuns tuple
for sampler.
10. fix https://github.com/vllm-project/vllm/pull/29471 we'll remove the
related patch to avoid this kind of error.

Co-authored-by: hfadzxy <starmoon_zhang@163.com>
Co-authored-by: wangli <wangli858794774@gmail.com>


- vLLM version: v0.11.2

---------

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
Signed-off-by: wangli <wangli858794774@gmail.com>
Signed-off-by: hfadzxy <starmoon_zhang@163.com>
Co-authored-by: wangli <wangli858794774@gmail.com>
Co-authored-by: hfadzxy <starmoon_zhang@163.com>

tests/ut/compilation/test_acl_graph.py

@@ -32,7 +32,7 @@ class TestACLGraphEntry(TestBase):
         """Test ACLGraphEntry initialization with default values"""
         batch_descriptor = BatchDescriptor(
             num_tokens=30,
-            uniform_decode=False,
+            uniform=False,
         )
 
         entry = ACLGraphEntry(batch_descriptor=batch_descriptor)
@@ -46,7 +46,7 @@ class TestACLGraphEntry(TestBase):
         """Test ACLGraphEntry initialization with specified values"""
         batch_descriptor = BatchDescriptor(
             num_tokens=30,
-            uniform_decode=False,
+            uniform=False,
         )
 
         mock_graph = MagicMock()
@@ -89,7 +89,7 @@ class TestACLGraphWrapper(TestBase):
         # Mock BatchDescriptor
         self.mock_batch_descriptor = BatchDescriptor(
             num_tokens=30,
-            uniform_decode=False,
+            uniform=False,
         )
 
         # Mock ForwardContext