[Feature] model_runner refactor (#4764)

### What this PR does / why we need it?
refactor npu_modelrunner， we should be close to gpu_modelrunner 

### Does this PR introduce _any_ user-facing change?
NO

- vLLM version: v0.12.0
- vLLM main:
ad32e3e19c

---------

Signed-off-by: zhenwenqi2024 <zhenwenqi_2022@qq.com>
Signed-off-by: zhenwenqi2024 <155598497+zhenwenqi2024@users.noreply.github.com>

vllm_ascend/attention/sfa_v1.py

@@ -16,6 +16,7 @@ from vllm.v1.attention.backends.utils import AttentionCGSupport
 
 from vllm_ascend import envs
 from vllm_ascend.ascend_config import get_ascend_config
+from vllm_ascend.ascend_forward_context import get_cos_and_sin
 from vllm_ascend.attention.attention_v1 import AscendAttentionState
 from vllm_ascend.attention.mla_v1 import MAX_O_PROJ_PREFETCH_SIZE
 from vllm_ascend.attention.utils import (AscendCommonAttentionMetadata,
@@ -186,8 +187,7 @@ class AscendSFAMetadataBuilder:
         cum_query_lens = common_attn_metadata.query_start_loc[1:num_reqs + 1]
         seq_lens = common_attn_metadata.seq_lens[:num_reqs]
 
-        cos = common_attn_metadata.cos
-        sin = common_attn_metadata.sin
+        cos, sin = get_cos_and_sin()
 
         assert self.cos_cache is not None and self.sin_cache is not None
         new_cos = self.cos_cache[input_positions][:, None, None]