How to vector-multiply two arrays of matrices?

 To multiply two arrays of matrices element-wise, you can use NumPy's einsum function. The einsum function allows you to specify a subscript notation for the multiplication, which makes it easy to perform element-wise matrix multiplication.

Here's an example of how to use einsum to multiply two arrays of matrices: 

 

import numpy as np

# create two arrays of matrices
A = np.random.rand(3, 2, 2)
B = np.random.rand(3, 2, 2)

# multiply the two arrays element-wise
C = np.einsum('aij,aij->aij', A, B)

print(C)

In this example, A and B are both arrays of matr 

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