[Graph][Fusion] Add QKVNormRope and QKVNormRopeWithBias (#5721)

### What this PR does / why we need it?
This PR builds upon PR
https://github.com/vllm-project/vllm-ascend/pull/5011 and aims to
further enhance the npu_graph_ex_passes module. Based on prior work, we
have added graph optimization support for the add_rms_quant fused
operator in scenarios where a bias term is present—ensuring the fusion
pattern is correctly registered and matched into the computation graph.

For validation, we switched to the Qwen3-235B-A22B-W8A8 model for
QKVNormRopeWithBias and Qwen3-32B model for QKVNormRope . Benchmark
results show that, compared to the unfused baseline, enabling this
fusion pass significantly improves inference throughput for W8A8
quantized models.
For more details can refer to the
RFC:https://github.com/vllm-project/vllm-ascend/issues/4715
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
```
llm = LLM(
        model=model,
        tensor_parallel_size=GPUs_per_dp_rank,
        enforce_eager=False,
        enable_expert_parallel=enable_expert_parallel,
        trust_remote_code=trust_remote_code,
        gpu_memory_utilization=0.98,
        max_num_batched_tokens=512,
        # load_format="dummy",
        max_model_len=2048,
        max_num_seqs=16,
        quantization="ascend",
        additional_config={
            "refresh": True,
            "enable_npugraph_ex": True
        },
        compilation_config={
            "cudagraph_capture_sizes": [8, 16],
            "cudagraph_mode": "FULL_DECODE_ONLY",
        },
    )
    if profile_dir:
        llm.start_profile()
    outputs = llm.generate(prompts, sampling_params)
    if profile_dir:
        llm.stop_profile()
    for i, output in enumerate(outputs):
        if i >= 5:
            break
        prompt = output.prompt
        generated_text = output.outputs[0].text
        print(
            f"DP rank {global_dp_rank}, Prompt: {prompt!r}, "
            f"Generated text: {generated_text!r}"
        )
```
- vLLM version: v0.13.0
- vLLM main:
2f4e6548ef

---------

Signed-off-by: cjian <2318164299@qq.com>

vllm_ascend/platform.py

@@ -30,7 +30,7 @@ from vllm.platforms import Platform, PlatformEnum
 # todo: please remove it when solve cuda hard code in vllm
 os.environ["VLLM_DISABLE_SHARED_EXPERTS_STREAM"] = "1"
 
-from vllm_ascend.ascend_config import init_ascend_config
+from vllm_ascend.ascend_config import get_ascend_config, init_ascend_config
 
 # isort: off
 from vllm_ascend.utils import (
@@ -121,7 +121,11 @@ class NPUPlatform(Platform):
         Get the pass manager class for this platform.
         It will be registered as a custom pass under the current_platform.pass_key.
         """
-        return "vllm_ascend.compilation.graph_fusion_pass_manager.GraphFusionPassManager"
+        npugraph_ex_config = get_ascend_config().npugraph_ex_config
+        if npugraph_ex_config.enable:
+            return "vllm_ascend.compilation.npu_graph_ex_pass_manager.NpuGraphEXPassManager"
+        else:
+            return "vllm_ascend.compilation.graph_fusion_pass_manager.GraphFusionPassManager"
 
     @classmethod
     def get_compile_backend(self) -> str: