Upgrade to new vllm commit (#3719)

### What this PR does / why we need it?
Upgrade to new vllm commit:
c9461e05a4

- Fix many imports, caused by
https://github.com/vllm-project/vllm/pull/26908
- Fix import ```sha256```, caused by
https://github.com/vllm-project/vllm/pull/27169
- Remove ```SchedulerConfig.send_delta_data```, caused by
https://github.com/vllm-project/vllm/pull/27142
- Fix ```FusedMoE``` because of dual stream execution, caused by
https://github.com/vllm-project/vllm/pull/26440

### Does this PR introduce _any_ user-facing change?
N/A

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


- vLLM version: v0.11.0rc3
- vLLM main:
17c540a993

---------

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

vllm_ascend/worker/worker_v1.py

@@ -35,7 +35,6 @@ from vllm.logger import logger
 from vllm.lora.request import LoRARequest
 from vllm.sequence import IntermediateTensors
 from vllm.tasks import SupportedTask
-from vllm.utils import STR_DTYPE_TO_TORCH_DTYPE, GiB_bytes
 from vllm.v1.core.sched.output import SchedulerOutput
 from vllm.v1.kv_cache_interface import KVCacheConfig, KVCacheSpec
 from vllm.v1.outputs import (EMPTY_MODEL_RUNNER_OUTPUT, AsyncModelRunnerOutput,
@@ -51,7 +50,7 @@ from vllm_ascend.platform import NPUPlatform
 from vllm_ascend.utils import (init_ascend_soc_version,
                                prefill_context_parallel_enable,
                                register_ascend_customop, sleep_mode_enabled,
-                               try_register_lib)
+                               try_register_lib, vllm_version_is)
 from vllm_ascend.worker.model_runner_v1 import NPUModelRunner
 
 torch._dynamo.trace_rules.clear_lru_cache()  # noqa: E402
@@ -66,6 +65,12 @@ torch_non_c_binding_in_graph_functions_npu[
 torch._dynamo.trace_rules.torch_name_rule_map.append(
     torch_non_c_binding_in_graph_functions_npu)  # noqa: E402
 
+if vllm_version_is("0.11.0"):
+    from vllm.utils import STR_DTYPE_TO_TORCH_DTYPE, GiB_bytes
+else:
+    from vllm.utils.mem_constants import GiB_bytes
+    from vllm.utils.torch_utils import STR_DTYPE_TO_TORCH_DTYPE
+
 
 class NPUWorker(WorkerBase):