[refactor] refactor model runner capture model (#5230)

### What this PR does / why we need it?
Refactor the `capture_model` method in model_runner to directly reuse
the method from vLLM.

Currently, most of the logic in the capture_model method is similar to
that in the vllm code. Directly using the vllm method can reduce the
maintenance cost of the vllm-ascend code. Modify as follows:
1、refactor capture_model function, directly inheriting community methods
2、refactor initialize_aclgraph_capture function, move to
initialize_attn_backend

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

### How was this patch tested?

- vLLM version: release/v0.13.0
- vLLM main:
ad32e3e19c

Signed-off-by: weiguihua2 <weiguihua2@huawei.com>
Co-authored-by: weijinqian0 <1184188277@qq.com>

vllm_ascend/worker/worker.py

@@ -46,6 +46,7 @@ from vllm.v1.kv_cache_interface import KVCacheConfig, KVCacheSpec
 from vllm.v1.outputs import (EMPTY_MODEL_RUNNER_OUTPUT, AsyncModelRunnerOutput,
                              DraftTokenIds, ModelRunnerOutput)
 from vllm.v1.worker.worker_base import WorkerBase
+from vllm.v1.worker.workspace import init_workspace_manager
 
 import vllm_ascend.envs as envs_ascend
 from vllm_ascend.ascend_config import get_ascend_config, init_ascend_config
@@ -231,6 +232,9 @@ class NPUWorker(WorkerBase):
         # in ray scenario. see https://github.com/vllm-project/vllm/pull/26845
         # for more details
         self.device = self._init_device()
+        # Initialize workspace manager
+        num_ubatches = 1
+        init_workspace_manager(self.device, num_ubatches)
         # Init ModelRunner here, so that we have access to self.device.
         if self.use_v2_model_runner:
             logger.warning(