Python Coding challenge - Day 334| What is the output of the following Python Code?

 

Step-by-Step Explanation:

1. import torch:

This imports the PyTorch library, which is widely used for deep learning and tensor operations.

2. x = torch.tensor([1.0, 2.0, 3.0]):

This creates a 1D tensor x with floating-point values [1.0, 2.0, 3.0].

Tensors: In PyTorch, tensors are multi-dimensional arrays similar to NumPy arrays but optimized for GPU operations.

3. y = torch.tensor([4.0, 5.0, 6.0]):

This creates another 1D tensor y with floating-point values [4.0, 5.0, 6.0].

4. result = torch.dot(x, y):

What is torch.dot?

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

The dot product is defined as the sum of the products of corresponding elements of the two tensors:

dot product=𝑥[0]⋅𝑦[0]+𝑥[1]⋅𝑦[1]+𝑥[2]⋅𝑦[2]

5. print(result):

This prints the result of the dot product to the console.

Final Result:

Computes the dot product of the two tensors.