Add Custom Kernels For LoRA Performance (#1884)

### What this PR does / why we need it?
Add two custom kernels(bgmv_shrink and bgmv expand) to solve the
performance of LoRA
### Does this PR introduce _any_ user-facing change?
no user-facing change
### How was this patch tested?
we add Unit Test file to test the custom ascendc kernel. See
vllm-ascend/tests/e2e/singlecard/ops/test_bgmv_expand.py and
vllm-ascend/tests/e2e/singlecard/ops/test_bgmv_expand.py
Based on the actual test of the QWen2.5 7B model using vllm-ascend
version v0.9.2.rc1, the TTFT, TPOT and throughput have increased by
about 70%.

- vLLM version: v0.9.2
- vLLM main:
40d86ee412

---------

Signed-off-by: taoxudonghaha <justsheldon@163.com>

vllm_ascend/lora/punica_wrapper/punica_npu.py

@@ -3,9 +3,18 @@
 from typing import Callable, Optional, Tuple, Union
 
 import torch
-from vllm.lora.ops.torch_ops import (bgmv_expand, bgmv_expand_slice,
-                                     bgmv_shrink, sgmv_expand,
-                                     sgmv_expand_slice, sgmv_shrink)
+
+from vllm_ascend.utils import is_310p
+
+if is_310p():
+    from vllm.lora.ops.torch_ops import (bgmv_expand, bgmv_expand_slice,
+                                         bgmv_shrink, sgmv_expand,
+                                         sgmv_expand_slice, sgmv_shrink)
+else:
+    from vllm_ascend.lora.punica_wrapper.lora_ops import (
+        bgmv_expand, bgmv_expand_slice, bgmv_shrink, sgmv_expand,
+        sgmv_expand_slice, sgmv_shrink)
+
 from vllm.lora.punica_wrapper.punica_base import PunicaWrapperBase