Perform tensor addition and subtraction using Python

by | Oct 3, 2023 | Featured, Linear Algebra

We can use numpy nd-array to create a tensor in Python. We can use the following Python code to perform tensor addition and subtraction.

import numpy

A = numpy.random.randint(low=1, high=10, size=(3, 3, 3))
B = numpy.random.randint(low=1, high=10, size=(3, 3, 3))

C = A + B
D = A - B
print("A: \n", A)
print("B: \n", B)
print("C = A + B: \n", C)
print("D = A - B: \n", D)

Here, we are using randint() function from the numpy.random module to generate random integers within the range [low, high). And the shape of the created tensor is given by the size argument. For example, size = (3, 3, 3) indicates that the tensor has 3 elements across each dimension.

After that, we are adding the two tensors A and B to create the tensor C. And the tensor D contains the tensor (A – B). The output of the given program will be:

A: 
 [[[7 5 5]
  [4 9 3]
  [2 4 8]]

 [[3 4 2]
  [8 6 4]
  [4 1 2]]

 [[1 9 4]
  [3 3 6]
  [3 3 6]]]
B: 
 [[[7 9 5]
  [5 8 4]
  [2 6 6]]

 [[6 6 6]
  [1 4 7]
  [6 2 5]]

 [[2 9 1]
  [9 8 9]
  [4 4 1]]]
C = A + B: 
 [[[14 14 10]
  [ 9 17  7]
  [ 4 10 14]]

 [[ 9 10  8]
  [ 9 10 11]
  [10  3  7]]

 [[ 3 18  5]
  [12 11 15]
  [ 7  7  7]]]
D = A - B: 
 [[[ 0 -4  0]
  [-1  1 -1]
  [ 0 -2  2]]

 [[-3 -2 -4]
  [ 7  2 -3]
  [-2 -1 -3]]

 [[-1  0  3]
  [-6 -5 -3]
  [-1 -1  5]]]
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Amrita Mitra

Author

Ms. Amrita Mitra is an author, who has authored the books “Cryptography And Public Key Infrastructure“, “Web Application Vulnerabilities And Prevention“, “A Guide To Cyber Security” and “Phishing: Detection, Analysis And Prevention“. She is also the founder of Asigosec Technologies, the company that owns The Security Buddy.

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