LDA implementation with pymc3

Any suggestions on how I can do it. Because what I understand from the likelihood equation is to sum over all topics and over all the words in the documents. So, θd,k would be of dimension(D,1) and βk,w should be (V,1) . Am I correct? Should I then add zeroes to βk,w to make it equal dimensioned as θd,k or any other way?