[1/N][Refactor] Refactor code to adapt with vllm main (#3612)

### What this PR does / why we need it?
This is the step 1 of refactoring code to adapt with vllm main, and this
pr aligned with
17c540a993

1. refactor deepseek to the latest code arch as of
17c540a993
 
2. bunches of fixes due to vllm changes
- Fix `AscendScheduler` `__post_init__`, caused by
https://github.com/vllm-project/vllm/pull/25075
- Fix `AscendScheduler` init got an unexpected arg `block_size`, caused
by https://github.com/vllm-project/vllm/pull/26296
- Fix `KVCacheManager` `get_num_common_prefix_blocks` arg, caused by
https://github.com/vllm-project/vllm/pull/23485
- Fix `MLAAttention` import,caused by
https://github.com/vllm-project/vllm/pull/25103
- Fix `SharedFusedMoE` import, caused by
https://github.com/vllm-project/vllm/pull/26145
- Fix `LazyLoader` improt, caused by
https://github.com/vllm-project/vllm/pull/27022
- Fix `vllm.utils.swap_dict_values` improt, caused by
https://github.com/vllm-project/vllm/pull/26990
- Fix `Backend` enum import, caused by
https://github.com/vllm-project/vllm/pull/25893
- Fix `CompilationLevel` renaming to `CompilationMode` issue introduced
by https://github.com/vllm-project/vllm/pull/26355
- Fix fused_moe ops, caused by
https://github.com/vllm-project/vllm/pull/24097
- Fix bert model because of `inputs_embeds`, caused by
https://github.com/vllm-project/vllm/pull/25922
- Fix MRope because of `get_input_positions_tensor` to
`get_mrope_input_positions`, caused by
https://github.com/vllm-project/vllm/pull/24172
- Fix `splitting_ops` changes introduced by
https://github.com/vllm-project/vllm/pull/25845
- Fix multi-modality changes introduced by
https://github.com/vllm-project/vllm/issues/16229
- Fix lora bias dropping issue introduced by
https://github.com/vllm-project/vllm/pull/25807
- Fix structured ouput break introduced by
https://github.com/vllm-project/vllm/issues/26737

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

### How was this patch tested?
CI passed with existing test.


- vLLM version: v0.11.0rc3
- vLLM main: https://github.com/vllm-project/vllm/commit/v0.11.0

---------

Signed-off-by: MengqingCao <cmq0113@163.com>
Signed-off-by: Icey <1790571317@qq.com>
Co-authored-by: Icey <1790571317@qq.com>

vllm_ascend/torchair/models/qwen3_moe.py

@@ -24,7 +24,7 @@ from torch import nn
 from transformers import PretrainedConfig
 from vllm.attention import Attention, AttentionMetadata
 from vllm.compilation.decorators import support_torch_compile
-from vllm.config import CacheConfig, CompilationLevel, VllmConfig
+from vllm.config import CacheConfig, VllmConfig
 from vllm.distributed import get_pp_group, get_tensor_model_parallel_world_size
 from vllm.distributed.parallel_state import (get_dp_group, get_ep_group,
                                              get_tp_group)
@@ -56,6 +56,12 @@ from vllm_ascend.attention.attention_v1 import AscendAttentionState
 from vllm_ascend.torchair.ops.sequence_parallel import (MetadataForPadding,
                                                         init_metadata_for_sp)
 from vllm_ascend.torchair.ops.torchair_fused_moe import TorchairAscendFusedMoE
+from vllm_ascend.utils import vllm_version_is
+
+if vllm_version_is("0.11.0"):
+    from vllm.config import CompilationLevel
+else:
+    from vllm.config import CompilationMode
 
 
 class CustomSparseMoeBlock(Qwen3MoeSparseMoeBlock):
@@ -298,10 +304,16 @@ class CustomQwen3MoeDecoderLayer(Qwen3MoeDecoderLayer):
         layer_idx = extract_layer_index(prefix)
         mlp_only_layers = ([] if not hasattr(config, "mlp_only_layers") else
                            config.mlp_only_layers)
-        self.use_aclgraph = (vllm_config is not None
-                             and vllm_config.compilation_config.level
-                             == CompilationLevel.PIECEWISE
-                             and not vllm_config.model_config.enforce_eager)
+        if vllm_version_is("0.11.0"):
+            self.use_aclgraph = (vllm_config is not None
+                                 and vllm_config.compilation_config.level
+                                 == CompilationLevel.PIECEWISE and
+                                 not vllm_config.model_config.enforce_eager)
+        else:
+            self.use_aclgraph = (vllm_config is not None
+                                 and vllm_config.compilation_config.mode
+                                 == CompilationMode.VLLM_COMPILE and
+                                 not vllm_config.model_config.enforce_eager)
         if (layer_idx not in mlp_only_layers) and (
                 config.num_experts > 0 and
             (layer_idx + 1) % config.decoder_sparse_step == 0):