How To Calculate The Outer Product Of Two Matrices A And B Per Rows Faster In Python (numpy)?

Let say we have two matrices A and B. A has the shape (r, k) and B has the shape (r, l). Now I want to calculate the np.outer product of these two matrices per rows. After the oute

Solution 1:

You could literally transfer the iterators as string notation to np.einsum -

np.einsum('rk,rl->kl',A,B)

Or with matrix-multiplication using np.dot -

A.T.dot(B)