Returns a Gaussian kernel using the specified cutoff frequency.

PyTorch requires the kernel to be of a particular shape in order to

apply it to an image. Specifically, the kernel needs to be of shape

$($c$,1,$ k$,$ k$)$ where c is the # channels in the image. Start by getting a

$2$D Gaussian kernel using your implementation from Part $1,$ which will be

of shape $($k$,$ k$).$ Then, let's say you have an RGB image, you will need to

turn this into a Tensor of shape $(3,1,$ k$,$ k$)$ by stacking the Gaussian

kernel $3$ times.

Args

cutoff$\_$frequency: int specifying cutoff$\_$frequency

Returns

kernel: Tensor of shape $($c$,1,$ k$,$ k$)$ where c is # channels