[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>

vllm_ascend/ops/mla.py

@@ -25,18 +25,13 @@ from torch import nn
 from vllm.config import CacheConfig, get_current_vllm_config
 from vllm.distributed import get_tensor_model_parallel_world_size
 from vllm.forward_context import ForwardContext, get_forward_context
+from vllm.model_executor.layers.attention import MLAAttention
 from vllm.model_executor.layers.mla import MLAModules, MultiHeadLatentAttentionWrapper
 from vllm.model_executor.layers.quantization import QuantizationConfig
 from vllm.utils.torch_utils import direct_register_custom_op
 from vllm.v1.attention.backend import AttentionMetadata  # type: ignore
 
 from vllm_ascend.ascend_config import get_ascend_config
-from vllm_ascend.utils import vllm_version_is
-
-if vllm_version_is("v0.15.0"):
-    from vllm.attention.layer import MLAAttention  # type: ignore
-else:
-    from vllm.model_executor.layers.attention import MLAAttention
 
 
 class IndexerWrapper(nn.Module):
@@ -126,17 +121,16 @@ class AscendMultiHeadLatentAttention(MultiHeadLatentAttentionWrapper):
             o_proj=mla_modules.o_proj,
         )
 
-        if not vllm_version_is("v0.15.0"):
-            original_process_weights = self.mla_attn.process_weights_after_loading
+        original_process_weights = self.mla_attn.process_weights_after_loading
 
-            def wrapped_process_weights(act_dtype: torch.dtype):
-                from vllm_ascend.attention.sfa_v1 import AscendSFAImpl
+        def wrapped_process_weights(act_dtype: torch.dtype):
+            from vllm_ascend.attention.sfa_v1 import AscendSFAImpl
 
-                if not isinstance(self.mla_attn.impl, AscendSFAImpl):
-                    original_process_weights(act_dtype)
-                self.mla_attn.impl.process_weights_after_loading(act_dtype)
+            if not isinstance(self.mla_attn.impl, AscendSFAImpl):
+                original_process_weights(act_dtype)
+            self.mla_attn.impl.process_weights_after_loading(act_dtype)
 
-            self.mla_attn.process_weights_after_loading = wrapped_process_weights
+        self.mla_attn.process_weights_after_loading = wrapped_process_weights
 
         compilation_config = get_current_vllm_config().compilation_config
         if prefix in compilation_config.static_forward_context: