Python Coding challenge - Day 442| What is the output of the following Python Code?

 

Code Explanation:

Line 1

import torch

This imports the PyTorch library.

PyTorch is a powerful library for tensor computations and automatic differentiation, often used in deep learning.

Line 2

x = torch.tensor(2.0, requires_grad=True)

Creates a tensor x with the value 2.0.

requires_grad=True tells PyTorch:

“Please keep track of all operations involving this tensor.”

So later, we can calculate gradients (i.e., derivatives) with respect to x.

Line 3

y = x**3 + 2 * x + 1

Defines a function y in terms of x:

Since x has requires_grad=True, PyTorch builds a computation graph behind the scenes.

Every operation (**3, *2, +1) is tracked so we can differentiate y later.

 Line 4

y.backward()

This tells PyTorch to compute the derivative of y with respect to x.

Since y is a scalar (a single value), calling .backward() automatically computes:

Line 5

print(x.grad)

Prints the computed gradient of y with respect to x.

Final Output:

tensor(14.)