Fixed 310p failure when using the sampler feature (#2151)

### What this PR does / why we need it?
Fixed 310p failure when using the sampler feature.
The root cause is: torch_npu.npu_top_k_top_p uses the operator
aclnnApplyTopKTopP, but aclnnApplyTopKTopP currently does not support
310P.
First PR that has the issue is #1308.

### Does this PR introduce _any_ user-facing change?
No

- vLLM version: v0.10.0
- vLLM main:
207b750e19

Signed-off-by: leo-pony <nengjunma@outlook.com>

vllm_ascend/sample/sampler.py

@@ -3,6 +3,8 @@ import torch_npu
 from vllm.v1.sample.ops.topk_topp_sampler import TopKTopPSampler, random_sample
 from vllm.v1.sample.sampler import Sampler
 
+from vllm_ascend.utils import is_310p
+
 
 class AscendSampler(Sampler):
 
@@ -20,7 +22,8 @@ class AscendTopKTopPSampler(TopKTopPSampler):
         k: torch.Tensor,
         p: torch.Tensor,
     ) -> torch.Tensor:
-        if p is not None and k is not None:
+        # npu_top_k_top_p uses the operator aclnnApplyTopKTopP, but aclnnApplyTopKTopP currently does not support 310P
+        if not is_310p() and p is not None and k is not None:
             # npu_top_k_top_p's parameter order is (logits, p, k), not (logits, k, p)
             return torch_npu.npu_top_k_top_p(logits, p, k)