Life's a garden. Dig it.
Calculate the element-wise outer product of two matrices, A & B
import numpy as np
A = np.arange(10*3).reshape((10,3))
B = np.arange(10*5).reshape((10,5))
print(A)
# [[ 0 1 2]
# [ 3 4 5]
# [ 6 7 8]
# [ 9 10 11]
# [12 13 14]
# [15 16 17]
# [18 19 20]
# [21 22 23]
# [24 25 26]
# [27 28 29]]
print(B)
# [[ 0 1 2 3 4]
# [ 5 6 7 8 9]
# [10 11 12 13 14]
# [15 16 17 18 19]
# [20 21 22 23 24]
# [25 26 27 28 29]
# [30 31 32 33 34]
# [35 36 37 38 39]
# [40 41 42 43 44]
# [45 46 47 48 49]]The result should be a 10x3x5 array where the ith 3x5 array is the outer product of A i A_i Ai and B i B_i Bi.
Solution¶
This content is gated
Subscribe to one of the products below to gain access
