### What this PR does / why we need it? Currently, we are usinge2b31243c0/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>