[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/ops/__init__.py

@@ -16,10 +16,15 @@
 #
 
 import torch
+from vllm.triton_utils import HAS_TRITON
 
 import vllm_ascend.ops.fused_moe.fused_moe  # noqa
 import vllm_ascend.ops.layernorm  # noqa
 import vllm_ascend.ops.register_custom_ops  # noqa
+
+if HAS_TRITON:
+    import vllm_ascend.ops.triton.linearnorm.split_qkv_rmsnorm_rope  # noqa
+
 import vllm_ascend.ops.vocab_parallel_embedding  # noqa
 from vllm_ascend.ops.activation import AscendQuickGELU, AscendSiluAndMul
 from vllm_ascend.ops.rotary_embedding import (