[Good First Issue]: Extend ONNX Frontend with Function Celu-12

[gkrivor]

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 Function Celu.
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 for *Windows here
2. Prepare an implementation of this operator in form of a function. It 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

• Contribution guide - start here!
• What is OpenVINO?
• Contribution guide
• User documentation
• You can also see a blog post on contributing to OpenVINO

Contact points

@gkrivor

Ticket

No response

[sanbuphy]

Can i try this?

[p-wysocki]

Hello @sanbuphy, please let us know if you have any questions. :) You might find our work in progress contributor roadmap useful. If you do end up using it, please leave us some feedback!

[p-wysocki]

Hello @sanbuphy, do you need any help?

Just yesterday our CONTRIBUTING.md has been updated with a technical guide - I highly recommend checking it out. :)

[siddhant-0707]

.take
PR #22002

[github-actions]

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

[kshitij01042002]

Hi @siddhant-0707 are you still working on this issue? Please let me know if not I would like to take it up

[siddhant-0707]

@kshitij01042002 as you can see from the mentioned PR, the issue is almost resolved, just needs a final review

[mitruska]

Hello @siddhant-0707, thank you for your contribution.
I've requested changes in the PR #22002 related to the math formula of the Celu decomposition subgraph.
Please take a look at the latest review comments.