We are currently working on a python project and have to vectorize a lot due to performance constraints. We end up with the following calculation: We have two numpy arrays of shape (20,6) and want to calculate the pairwise dot product of the rows, i.e. we should obtain a (20,1) matrix in the end, where each row is the scalar obtained by the respective vector dot multiplication.
Numpy two matrices, pairwise dot product of rows
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You can multiply the two arrays element wise and then do sum by rows, and then you have an array where each element is a dot product from rows of the two original arrays: