[Term Entry] PyTorch Tensor Operations: .is_nonzero()

[raghav-97]

Description

Added new documentation for PyTorch's is_nonzero() method under docs/content/pytorch/concepts/tensor-operations/terms/is-nonzero/is-nonzero.md

Issue Solved

[Term Entry] PyTorch Tensor Operations: .is_nonzero() #6069

Type of Change

• Adding a new entry

Checklist

• All writings are my own.
• My entry follows the Codecademy Docs style guide.
• My changes generate no new warnings.
• I have performed a self-review of my own writing and code.
• I have checked my entry and corrected any misspellings.
• I have made corresponding changes to the documentation if needed.
• I have confirmed my changes are not being pushed from my forked main branch.
• I have confirmed that I'm pushing from a new branch named after the changes I'm making.
• I have linked any issues that are relevant to this PR in the Issues Solved section.

[mamtawardhani]

Hey @raghav-97 , thank you for contributing to Codecademy Docs, the entry is nicely written! 😄

I've suggested a few changes, could you please review and modify those at your earliest convenience? Thank you! 😃

[mamtawardhani]

Suggested change

	Title: '.is_nonzero()'
	Description: 'Checks if all elements of a tensor are non-zero. Returns a boolean value indicating whether the tensor contains any non-zero elements.'
	Subjects:
	- 'Computer Science'
	- 'Data Science'
	Tags:
	- 'Data Structures'
	- 'Functions'
	- 'Boolean'
	- 'Tensors'
	CatalogContent:
	- 'intro-to-py-torch-and-neural-networks'
	- 'paths/computer-science'
	Title: '.is_nonzero()'
	Description: 'Checks if a tensor's single element is non-zero, returning a boolean indicating whether the element is non-zero.'
	Subjects:
	- 'Computer Science'
	- 'Data Science'
	Tags:
	- 'Boolean'
	- 'Data Structures'
	- 'Functions'
	- 'Tensor'
	CatalogContent:
	- 'intro-to-py-torch-and-neural-networks'
	- 'paths/computer-science'

[mamtawardhani]

Suggested change

	In PyTorch, the **`.is_nonzero()`** method is used to check if a [tensor](https://www.codecademy.com/resources/docs/pytorch/tensors) contains any non-zero elements. It returns a boolean value (True or False) indicating whether the tensor has at least one element that is not zero. This method is particularly useful for conditional checks or validation in tensor operations.
	In PyTorch, the **`.is_nonzero()`** method is used to check if a [tensor](https://www.codecademy.com/resources/docs/pytorch/tensors) contains a non-zero element. It returns `True` if the tensor's element is non-zero and `False` if it is zero. This method is particularly useful for conditional checks or validation in tensor operations.

[mamtawardhani]

Suggested change

	Tensor.is_nonzero()
	torch.is_nonzero(input)

[mamtawardhani]

For the correct syntax, please refer to - https://pytorch.org/docs/stable/generated/torch.is_nonzero.html

[mamtawardhani]

Suggested change

	The method takes no parameters and returns:
	- `True` if the tensor has exactly one element and that element is non-zero
	- `False` in all other cases (multiple elements, single zero element, or empty tensor)
	- `input`: tensor with a single element. The method checks if this single element is non-zero.

[mamtawardhani]

Suggested change

	import torch
	# Define a tensor with non-zero elements
	tensor1 = torch.tensor([0.0, 1.0, 2.0])
	# Check if the tensor contains any non-zero elements
	result1 = tensor1.is_nonzero()
	print(result1) # Output: True
	# Define a tensor with all zero elements
	tensor2 = torch.tensor([0.0, 0.0, 0.0])
	# Check if the tensor contains any non-zero elements
	result2 = tensor2.is_nonzero()
	print(result2)
	import torch
	# Define a tensor with a non-zero element
	tensor1 = torch.tensor(5.0)
	# Check if the tensor contains a non-zero element
	result1 = torch.is_nonzero(tensor1)
	print(result1)
	# Define a tensor with a zero element
	tensor2 = torch.tensor(0.0)
	# Check if the tensor contains a non-zero element
	result2 = torch.is_nonzero(tensor2)
	print(result2)

[raghav-97]

Hey @mamtawardhani thank you for the review. I have made the suggested changes, could you please look into it and also let me know if any more changes are required.

[mamtawardhani]

Hey @mamtawardhani thank you for the review. I have made the suggested changes, could you please look into it and also let me know if any more changes are required.

Hey @raghav-97 the changes are not committed, could you please check again?

[raghav-97]

@mamtawardhani I made the changes and tried testing them locally using yarn test, but getting error and I am unable to figure it out. Can you guide me where can I refer to in order to solve this?
Thank you

[mamtawardhani]

Thank you for contributing to Codecademy Docs @raghav-97 😄
The entry looks good for a second round of review! 🚀