fix vl float model not support NZ format weight error (#3533)

### What this PR does / why we need it?
fix vl float model not support nz mm op
### Does this PR introduce _any_ user-facing change?

### How was this patch tested?


- vLLM version: v0.11.0rc3
- vLLM main: https://github.com/vllm-project/vllm/commit/v0.11.0

---------

Signed-off-by: shaopeng666 <shaopeng666@noreply.gitcode.com>
Co-authored-by: shaopeng666 <shaopeng666@noreply.gitcode.com>

tests/ut/models/test_qwen2_5_vl.py

@@ -370,6 +370,10 @@ class TestAscendQwen2_5_VisionTransformer(PytestBase):
         mocker.patch("torch.nn.Module.__setattr__")
         mocker.patch("torch.nn.Module.__getattr__")
         mocker.patch("torch.nn.Module.__delattr__")
+        mocker.patch(
+            "torch_npu.npu_format_cast",
+            return_value=torch.rand((384, 300)),
+        )
         res = attention.pad_qkv_weight(torch.rand((300, 300)))
         assert res.shape == (384, 300)
 
@@ -378,6 +382,10 @@ class TestAscendQwen2_5_VisionTransformer(PytestBase):
         mocker.patch("torch.nn.Module.__setattr__")
         mocker.patch("torch.nn.Module.__getattr__")
         mocker.patch("torch.nn.Module.__delattr__")
+        mocker.patch(
+            "torch_npu.npu_format_cast",
+            return_value=torch.rand((300, 384)),
+        )
         res = attention.pad_proj_weight(torch.rand((300, 300)))
         assert res.shape == (300, 384)