[Main2Main] Upgrade vLLM to 0226 (#6813)

### What this PR does / why we need it?

Breaking:
1. https://github.com/vllm-project/vllm/pull/33452
2. https://github.com/vllm-project/vllm/pull/33451
3. https://github.com/vllm-project/vllm/pull/32567
4. https://github.com/vllm-project/vllm/pull/32344

### Does this PR introduce _any_ user-facing change?

### How was this patch tested?

- vLLM version: v0.15.0
- vLLM main:
83b47f67b1

---------

Signed-off-by: MrZ20 <2609716663@qq.com>
Signed-off-by: gcanlin <canlinguosdu@gmail.com>
Co-authored-by: MrZ20 <2609716663@qq.com>

tests/ut/eplb/core/test_eplb_utils.py

@@ -22,9 +22,9 @@ class TestAscendConfig(unittest.TestCase):
             "eplb_config": {"dynamic_eplb": True, "num_redundant_experts": 2},
         }
         from vllm.model_executor.layers.fused_moe.config import RoutingMethodType
-        if vllm_version_is("0.15.0"):
+        if vllm_version_is("0.16.0"):
             moe_parallel_config = FusedMoEParallelConfig(
-                2, 0, 1, 2, 1, 1, 1, 1, True, "hccl", enable_eplb=True)
+                2, 0, 1, 2, 1, 1, 1, 1, True, "hccl", is_sequence_parallel=True, enable_eplb=True)
             moe_config = FusedMoEConfig(
                 num_experts=8,
                 experts_per_token=8,

tests/ut/quantization/test_modelslim_config.py

@@ -15,10 +15,7 @@ from vllm_ascend.quantization.modelslim_config import (
 )
 from vllm_ascend.utils import ASCEND_QUANTIZATION_METHOD, vllm_version_is
 
-if vllm_version_is("v0.15.0"):
-    from vllm.attention.layer import Attention  # type: ignore
-else:
-    from vllm.model_executor.layers.attention import Attention
+from vllm.model_executor.layers.attention import Attention
 
 
 class TestAscendModelSlimConfig(TestBase):