### What this PR does / why we need it?
Currently, we are using
e2b31243c0/vllm/model_executor/layers/conv.py (L219-L232)
for convolution computation, which is used in patch embedding for VL
models.
After profiling, we find that this linear method will take about **6.87
ms**, which is much slower than just using `F.conv3d()`. In
`F.conv3d()`, it will call aclnn `BatchMatMulV2` with optimization on
Ascend NPU, which only take about **2.50 ms** and is **2.7x faster**
than linear method.
- vLLM version: v0.16.0
- vLLM main:
15d76f74e2
---------
Signed-off-by: shen-shanshan <467638484@qq.com>
a813eadd2d