[Good First Issue]: Extend ONNX Frontend with BitwiseNot-18 operator

[mitruska]

Context

Neural networks are graphs consisting of nodes called operators. Each operator corresponds to a mathematical function, usually described in framework's documentation or an AI standard, such as ONNX.
OpenVINO ONNX Frontend is a component responsible for working with ONNX graphs and requires implementation of different ONNX operators in order to use ONNX models.

This task requires extending OpenVINO ONNX Frontend with BitwiseNot operator, using the existing ov::op::v13::BitwiseNot.

Necessary help will be provided by ONNX Fronted team.

What needs to be done?

Operator details can be found in ONNX Operators
More details can be found in ONNX Changelog

1. Create .hpp and .cpp files here
2. Prepare an implementation of this operator in form of a function, bitwise_not should be placed in opset 1 namespace.
3. Register the function in ops_bridge.cpp while keeping alphabetical order
4. Create test model(s) in ONNX models directory. OpenVINO test infrastructure then converts prototxt files to ONNX models - you will use those models later in tests
5. Add tests covering all use cases here
6. Check Python xfailed tests to find a test marked as a xfailed for added functionality. If any exist - remove corresponding lines and try to verify by using cmdline "python -m pytest -k name_of_test".
   More details in adding operators to ONNX Frontend guide

Example Pull Requests

• ONNX Unique op support #15076
• ONNX CastLike operator tests #14936
• [ONNX FE] Extend ONNX FE for operation GenerateProposals #12510
• [ONNX] Extend ONNX Frontend with BlackmanWindow, HammingWindow and HannWindow operators #19428

Resources

• What is OpenVINO?
• Contribution guide
• Blog post on contributing to OpenVINO
• User documentation
• Guides on ONNX Frontend architecture and ONNX Frontend tests are also available
• You can also see a blog post on contributing to OpenVINO

Contact points

@mitruska
@gkrivor
@p-wysocki

Ticket

118961

[rupeshs]

.take

[github-actions]

Thank you for looking into this issue! Please let us know if you have any questions or require any help.

[p-wysocki]

Hello @rupeshs! Thank you for taking a look, please let us know if you have any questions. Just yesterday our CONTRIBUTING.md has been updated with a technical guide - I highly recommend checking it out. :)

[rupeshs]

Hello @p-wysocki , created PR #21698

[rupeshs]

Hi @gkrivor, @mitruska, Please ignore the previous PR.
New PR: #21872

[p-wysocki]

Hello @rupeshs, sorry for the late reply - the holiday season just ended. We'll take a look at your PR as soon as possible, thank you for your contribution!

Also, I am happy to announce that we have created a channel dedicated to Good First Issues support on our Intel DevHub Discord server! Join it to receive support, engage in discussions, ask questions and talk to OpenVINO developers.