Python Coding challenge - Day 329| What is the output of the following Python Code?

 

Code Explanation:

Import PyTorch:

import torch

PyTorch is a library used for tensor computations, deep learning, and machine learning.

2. Define Tensors x and y:

x = torch.tensor([1.0, 2.0])

y = torch.tensor([3.0, 4.0])

x is a 1-dimensional tensor (vector) with elements [1.0, 2.0].

y is another 1-dimensional tensor with elements [3.0, 4.0].

3. Compute the Dot Product:

result = torch.dot(x, y)

The torch.dot() function computes the dot product of two 1D tensors (vectors).

Formula for the dot product:

dot(𝑥,𝑦)=𝑥1⋅𝑦1+𝑥2⋅𝑦2

4. Print the Result:

print(result)

Outputs the result of the dot product computation.

Final Output:

tensor(11.)

torch.dot() returns a scalar tensor with the result of the dot product.

tensor(11.) indicates a PyTorch tensor containing the value 11.0.