Drop vLLM 0.13.0 support (#6069)

### What this PR does / why we need it?
Drop vLLM 0.13.0 support, upgrade to 0.14.0

- vLLM version: v0.13.0
- vLLM main:
d68209402d

---------

Signed-off-by: hfadzxy <starmoon_zhang@163.com>

vllm_ascend/attention/sfa_v1.py

@@ -12,6 +12,8 @@ from vllm.forward_context import get_forward_context
 from vllm.logger import logger
 from vllm.model_executor.layers.linear import UnquantizedLinearMethod
 from vllm.triton_utils import HAS_TRITON
+from vllm.v1.attention.backend import (  # type: ignore
+    AttentionBackend, AttentionCGSupport, MLAAttentionImpl)
 from vllm.v1.attention.backends.mla.common import MLACommonMetadataBuilder
 from vllm.v1.kv_cache_interface import AttentionSpec
 
@@ -35,20 +37,11 @@ from vllm_ascend.ops.triton.rope import rope_forward_triton
 from vllm_ascend.ops.weight_prefetch import maybe_npu_prefetch
 from vllm_ascend.quantization.w8a8 import AscendW8A8LinearMethod
 from vllm_ascend.utils import (ACL_FORMAT_FRACTAL_ND, _round_up, dispose_layer,
-                               enable_dsa_cp, enable_dsa_cp_with_layer_shard, maybe_trans_nz, vllm_version_is)
+                               enable_dsa_cp, enable_dsa_cp_with_layer_shard, maybe_trans_nz)
 from vllm_ascend.worker.npu_input_batch import NPUInputBatch
 
-# isort: off
 if TYPE_CHECKING:
     from vllm.v1.core.sched.output import SchedulerOutput
-if vllm_version_is('0.13.0'):
-    from vllm.v1.attention.backends.utils import AttentionCGSupport
-    from vllm.attention.backends.abstract import (  # type: ignore
-        AttentionBackend, MLAAttentionImpl)
-else:
-    from vllm.v1.attention.backend import (  # type: ignore
-        AttentionBackend, AttentionCGSupport, MLAAttentionImpl)
-# isort: on
 
 # token count limits within bmm_transpose operator
 BMM_TRANS_MAX_SUPPORTED_TOKENS = 1024