[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/ascend_forward_context.py

@@ -209,37 +209,6 @@ def get_mc2_mask():
     return _reserved_mc2_mask
 
 
-def set_cos_and_sin(vllm_config, max_num_reqs, decode_token_per_req, dtype,
-                    device):
-    global _cos
-    global _sin
-    if _cos is not None:
-        return
-    compilation_config = vllm_config.compilation_config
-    model_config = vllm_config.model_config
-    if model_config.use_mla and compilation_config.cudagraph_mode == CUDAGraphMode.FULL_DECODE_ONLY:
-        rope_dim = model_config.hf_text_config.qk_rope_head_dim
-        _cos = torch.ones(max_num_reqs * decode_token_per_req,
-                          1,
-                          1,
-                          rope_dim,
-                          dtype=dtype,
-                          device=device)
-        _sin = torch.zeros(max_num_reqs * decode_token_per_req,
-                           1,
-                           1,
-                           rope_dim,
-                           dtype=dtype,
-                           device=device)
-    else:
-        _cos = None
-        _sin = None
-
-
-def get_cos_and_sin():
-    return _cos, _sin
-
-
 def select_moe_comm_method(num_tokens: int,
                            vllm_config: VllmConfig) -> Optional[MoECommType]:
     """1. If expert parallel is not enabled, we use all-gather since MC2 and all-to-all