Hi, all.
Is there an efficient way to compute column-wise L1 norm between two matrices?
Input:    x, N x d
y, M x d
Output: dist, N x M. Where dist[i,j] is the abs between x[i,:] and y[j,:].
i.e. dist[i,j] = ||x[i,:]-y[j,:]||