Hi,
It’s not true.



 Tomojit:

the default setting of dilation is making the kernel effectively a [5 x 5] one


You may want to check the formulation Conv2d — PyTorch 1.6.0 documentation 10:
image722×194 13.6 KB
Also, this is the convention, as far as I know, TF, keras, etc all use conv layers the same way PyTorch uses as it should match mathematical formulation of conv.
Bests