Python Coding challenge - Day 416| What is the output of the following Python Code?

 

Code Explanation:

Step 1: Importing PyTorch

import torch imports the PyTorch library, which is commonly used for machine learning, deep learning, and scientific computing.

Step 2: Creating a Tensor (Matrix)

matrix = torch.tensor([[4.0, 7.0], [2.0, 6.0]])

A tensor in PyTorch is similar to a NumPy array but optimized for GPU acceleration.

Step 3: Calculating the Matrix Norm

norm_value = torch.linalg.norm(matrix)

torch.linalg.norm() computes the Frobenius norm by default.

The Frobenius norm of a matrix 𝐴

Step 4: Printing the Result

print("Matrix Norm:", norm_value)

This prints the calculated Frobenius norm value.

Final Output:

Matrix Norm: 11.18