Default dilation value in PyTorch
As given in the documentation of PyTorch, the layer Conv2d uses a default dilation of 1. Does this mean that if I want to create a simple conv2d layer  I would have to write 

nn.conv2d(in_channels = 3, out_channels = 64, kernel_size = 3, dilation = 0)


instead of simply writing

nn.conv2d(in_channels = 3, out_channels = 64, kernel_size = 3)


Or is it the case that in PyTorch dilation = 1 means same as dilation = 0 as given here in the Dilated Convolution section?

From the calculation of H_out, W_out in the documentation of pytorch, we can know that dilation=n means to make a pixel (1x1) of kernel to be nxn, where the original kernel pixel is at the topleft, and the rest pixels are empty (or filled with 0).

Thus dilation=1 is equivalent to the standard convolution with no dilation.
