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/models/layers/mla.py

@@ -29,7 +29,6 @@ from vllm.distributed import get_tensor_model_parallel_world_size
 from vllm.forward_context import ForwardContext, get_forward_context
 from vllm.model_executor.layers.mla import MLAModules
 from vllm.model_executor.layers.quantization import QuantizationConfig
-from vllm.utils import direct_register_custom_op
 
 from vllm_ascend.ascend_config import get_ascend_config
 from vllm_ascend.utils import vllm_version_is
@@ -38,9 +37,11 @@ if vllm_version_is("0.11.0"):
     from vllm.attention import Attention
     from vllm.model_executor.layers.mla import \
         MultiHeadLatentAttention as MultiHeadLatentAttentionWrapper
+    from vllm.utils import direct_register_custom_op
 else:
     from vllm.attention.layer import MLAAttention
     from vllm.model_executor.layers.mla import MultiHeadLatentAttentionWrapper
+    from vllm.utils.torch_utils import direct_register_custom_op
 
 if vllm_version_is("0.11.0"):
     from vllm.attention import Attention

vllm_ascend/models/layers/sfa.py

@@ -31,7 +31,6 @@ from vllm.forward_context import ForwardContext, get_forward_context
 from vllm.model_executor.layers.linear import ReplicatedLinear
 from vllm.model_executor.layers.mla import MLAModules
 from vllm.model_executor.layers.quantization import QuantizationConfig
-from vllm.utils import direct_register_custom_op
 
 from vllm_ascend.ascend_config import get_ascend_config
 from vllm_ascend.utils import vllm_version_is
@@ -40,9 +39,11 @@ if vllm_version_is("0.11.0"):
     from vllm.attention import Attention
     from vllm.model_executor.layers.mla import \
         MultiHeadLatentAttention as MultiHeadLatentAttentionWrapper
+    from vllm.utils import direct_register_custom_op
 else:
     from vllm.attention.layer import MLAAttention
     from vllm.model_executor.layers.mla import MultiHeadLatentAttentionWrapper
+    from vllm.utils.torch_utils import direct_register_custom_op
 
 
 @dataclass