L1 regularization norm

I was studying the code of L1 regularization and I noticed that you use a norm with the maximum of the columns when it is applied to a matrix. I didn't understand why this, and I think that the subgradient and proximal is not suited to this type of norm.

Sorry if I said something wrong, I just didn't understand completely.

Thanks