[Good First Issue]: Support aten::rrelu and aten::rrelu_ for pytorch models

Context

OpenVINO component responsible for support of PyTorch models is called as PyTorch Frontend (PT FE). PT FE converts a model represented as TorchScript model to a model in OpenVINO opset.

This is a randomized operation, but it is randomized only when training, for OpenVINO we assume that models are in inference only mode, so randomization is not needed. Due to that this op is actually similar to torch.nn.LeakyReLU

What needs to be done?

• Implement conversion rule and/or transformation to support the new operation.
• Implement operation tests in tests/layer_tests/pytorch_tests. Please consider different data types, but keep reasonable number of test cases

Example Pull Requests

#18998

Resources

• torch.nn.RReLU description
• Contribution guide - start here!
• What is OpenVINO?
• OpenVINO PyTorch Frontend
• Blog post on contributing to OpenVINO
• User documentation

Contact points

@openvinotoolkit/openvino-pytorch-frontend-maintainers

Ticket

CVS-136484