[Bugfix]fix bmm_transpose ops in dsv32 (#4791)

### What this PR does / why we need it?
bmm transpose ops can't be used in cp, so add judgement in the modeling

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

- vLLM version: v0.12.0
- vLLM main:
ad32e3e19c

Signed-off-by: hust17yixuan <303660421@qq.com>

vllm_ascend/attention/sfa_v1.py

@@ -485,7 +485,8 @@ class AscendSFAImpl(MLAAttentionImpl):
 
     def _v_up_proj(self, x):
         if x.dtype in [torch.float16, torch.bfloat16] \
-                and hasattr(torch.ops._C_ascend, "batch_matmul_transpose"):
+                and hasattr(torch.ops._C_ascend, "batch_matmul_transpose") \
+                and not self.enable_sfa_cp:
             x = x.view(-1, self.num_heads, self.kv_lora_rank)
             b, _, _ = x.shape
             res = torch.empty((b, self.num_heads, self.v_head_dim),