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/spec_decode/test_eagle_proposer.py

@@ -224,7 +224,6 @@ class TestEagleProposerGenerateTokenIds(TestBase):
 
     def test_generate_token_ids_without_metadata(self):
         valid_sampled = [[20, 30, 40]]
-        valid_sampled = [np.array(sublist) for sublist in valid_sampled]
         scheduler_output = MagicMock()
         scheduler_output.num_scheduled_tokens = [2, 1, 3]
         positions = torch.tensor([0, 1, 2, 3, 4, 5])
@@ -251,7 +250,6 @@ class TestEagleProposerGenerateTokenIds(TestBase):
 
     def test_generate_token_ids_with_metadata(self):
         valid_sampled = [[5], [6, 7], [8, 9, 10]]
-        valid_sampled = [np.array(sublist) for sublist in valid_sampled]
         spec_metadata = MagicMock()
         spec_metadata.num_draft_tokens = [2, 3, 4]