fix qwen3vl mrope op (#4484)

### What this PR does / why we need it?
Qwen2.5-VL mrope precision problem would been solved once this pr is
merged
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
Test on G8600 with textVQA dataset

- vLLM version: v0.11.2
- vLLM main: https://github.com/vllm-project/vllm/commit/v0.11.2

---------

Signed-off-by: 李少鹏 <[email protected]>
Co-authored-by: wangxiyuan <[email protected]>

Author: shaopeng-666

vllm_ascend/ops/rotary_embedding.py

@@ -24,7 +24,6 @@
 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 (AscendDeviceType, enable_custom_op,
@@ -411,10 +410,7 @@ def forward_oot(
         query: torch.Tensor,
         key: torch.Tensor,
     ):
-        # 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:
+        if self.mrope_section != [16, 24, 24]:
             return super().forward_oot(positions, query, key)
 
         import torch_npu
@@ -429,7 +425,7 @@ def forward_oot(
             self.cos_sin_cache = self.cos_sin_cache.to(  # type: ignore
                 query.dtype)  # type: ignore
 
-        query, key = torch_npu.npu_mrope(positions,
+        query, key = torch_npu.npu_mrope(positions.contiguous(),
                                          query.contiguous(),
                                          key.contiguous(),
                                          self.cos_sin_cache.contiguous(),