fix dsv32 bmm_ops

Signed-off-by: hust17yixuan <[email protected]>

Author: hust17yixuan

vllm_ascend/attention/sfa_v1.py

@@ -485,7 +485,8 @@ def get_and_maybe_dequant_weights(layer: LinearBase):
 
     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),