### What this PR does / why we need it?
The mergence of the upstream
https://github.com/vllm-project/vllm/pull/22592 caused a vllm-ascend
LoRA inference bug. The details are following:
According to
[torch_npu/npu/_stream_check.py](863b9071cb/torch_npu/npu/_stream_check.py (L74)),
NPU device type tensors have attributes is_cuda=True and is_npu=True.
This causes that vLLM's apply_repetition_penalties function will run
into the branch of "if logits.is_cuda and logits.is_contiguous()" and
call the custom op implemented in CUDA, which is not compatible with
NPU.
### Does this PR introduce _any_ user-facing change?
No.
### How was this patch tested?
pytest -sv tests/e2e/singlecard/test_ilama_lora.py
pytest -sv tests/e2e/multicard/test_ilama_lora_tp2.py
- vLLM version: v0.10.1.1
- vLLM main:
fe8d7b6f03
---------
Signed-off-by: paulyu12 <paulyu0307@gmail.com>
Signed-off-by: paulyu12 <507435917@qq.com>
Co-authored-by: paulyu12 <paulyu0307@gmail.com>
