The signal buffer acts as a sliding window. The kernel buffer remains the same through the whole process whereas the inputs coming from the signal buffer changes by one value through a sliding window.

I wrote a small benchmark comparing a 1D depthwise convolution implemented in PyTorch vs. pure JAX on GPU, and found that the JAX version is both substantially slower (≈3×) and draws noticeably more ...

3D Convolution,Convolutional Network,Convolutional Neural Network,Feature Maps,Motion Estimation,Separable Convolution,Spatial Domain,Temporal Domain,Training Dataset,Video Super-resolution,1D ...

Convolution operations occupy large amounts of computation resource in convolutional neural networks (CNNs). Separable convolution can greatly reduce computational complexity. Unfortunately, most ...