thanks for you information!! but I do not think they’re same things.
From my perspective,
group means to separate the channels.
For e.g., the input of the image is DFxDFxM, the output is DFxDFxN, the original convolution is: DKxDKxMxN
What I mean Depthwise Separable Convolution can be divided into 2 parts:
part 1: Depthwise, the convolution of this part is DKxDKx1xM
part 2: Pointwise, the convolution of this part is 1x1xMxN
If the situation is like that, should I just use 2 Conv2d to achieve that?