[Fusion] [Graph] Add qknorm rope fusion operator (#4711)

### What this PR does / why we need it?
This PR add `qkv_rmsnorm_rope` operator and introduces a graph fusion
pass for `qknorm_rope` operations. The implementation includes a new
configuration flag, a pattern matching pass using
`torch._inductor.pattern_matcher`, and a custom Triton kernel for the
fused operation.

Co-authored-by: Angazenn
[supperccell@163.com](mailto:supperccell@163.com)

### Does this PR introduce _any_ user-facing change?
Yes, add new additional_config

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

---------

Signed-off-by: wxsIcey <1790571317@qq.com>

vllm_ascend/attention/mla_v1.py

@@ -22,7 +22,6 @@ from vllm.v1.kv_cache_interface import MLAAttentionSpec
 
 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.utils import (AscendCommonAttentionMetadata,
                                          maybe_save_kv_layer_to_connector,
@@ -32,6 +31,7 @@ from vllm_ascend.attention.utils import (AscendCommonAttentionMetadata,
 from vllm_ascend.compilation.acl_graph import (get_graph_params,
                                                get_mtp_graph_params,
                                                update_graph_params_workspaces)
+from vllm_ascend.ops.rotary_embedding import get_cos_and_sin_mla
 from vllm_ascend.ops.shared_weight_layer import (
     is_hidden_layer, post_process_after_loading_for_shared_weight_series,
     reach_layer_for_shared_weight_series,
@@ -531,7 +531,7 @@ class AscendMLAMetadataBuilder:
 
         decode_metadata = None
         if num_decodes > 0:
-            cos, sin = get_cos_and_sin()
+            cos, sin = get_cos_and_sin_mla()
             # Notice that num_decodes != num_decode_tokens in SpecDecoding Scenario
             actual_seq_lengths_q = query_start_loc_cpu[1:num_decodes +
                                                        1].tolist()