How to stack same rows of prior distributions inside the with model effectively

@ckrapu tried this. Seems work where tt for import theano.tensor as tt

alpha_reshaped = pm.Deterministic(‘alpha_reshaped’, alpha[choices_index])
zero_vec = np.zeros((len(choices_index),1))
test = tt.concatenate([alpha_reshaped,zero_vec], axis = 1)

Looks like a good way of doing it? Thank you again