avoid mrope fusion op when running qwen2.5-vl on a+x machine (#4270)

### What this PR does / why we need it?
avoid mrope fusion op when running qwen2.5-vl on a+x machine
### Does this PR introduce _any_ user-facing change?
no
### How was this patch tested?
Test text VQA accuracy on G8600 with aisbench

- vLLM version: v0.11.0
- vLLM main:
2918c1b49c

---------

Signed-off-by: 李少鹏 <lishaopeng21@huawei.com>

vllm_ascend/ops/rotary_embedding.py

@@ -24,6 +24,7 @@ from vllm.forward_context import get_forward_context
 from vllm.model_executor.layers.rotary_embedding import (
     DeepseekScalingRotaryEmbedding, MRotaryEmbedding, RotaryEmbedding,
     YaRNScalingRotaryEmbedding)
+from vllm.platforms import CpuArchEnum
 
 from vllm_ascend.platform import NPUPlatform
 from vllm_ascend.utils import enable_custom_op, is_310p
@@ -405,7 +406,10 @@ class AscendMRotaryEmbedding(MRotaryEmbedding):
         query: torch.Tensor,
         key: torch.Tensor,
     ):
-        if self.mrope_section != [16, 24, 24]:
+        # TODO: This judgment will be removed once the mrope precision issue is fixed
+        if self.mrope_section != [
+                16, 24, 24
+        ] or NPUPlatform.get_cpu_architecture() == CpuArchEnum.X86:
             return super().forward_oot(positions, query, key)
 
         import torch_npu
@@ -428,4 +432,4 @@ class AscendMRotaryEmbedding(MRotaryEmbedding):
                                          mrope_section=mrope_section,
                                          rotary_mode='half')
 
-        return query, key
+        return query, key