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[Good First Issue]: Support aten::rrelu and aten::rrelu_ for pytorch models #23746
Comments
.take |
Thank you for looking into this issue! Please let us know if you have any questions or require any help. |
@mvafin Do I need to implement two ops rrelu and rrelu_ ? If yes What is the difference between both functions in implementation ? |
@mvafin Could you please take a look at the above pull request? Happy to make changes if suggested. |
.take |
Thank you for looking into this issue! Please let us know if you have any questions or require any help. |
hey @TRIGON69 any help needed? |
.take Hello! Looking to get started with OpenVINO. If this issue is still available, I'll be glad to put my name on it. |
Thank you for looking into this issue! Please let us know if you have any questions or require any help. |
.take |
Thank you for looking into this issue! Please let us know if you have any questions or require any help. |
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?
Example Pull Requests
#18998
Resources
Contact points
@openvinotoolkit/openvino-pytorch-frontend-maintainers
Ticket
CVS-136484
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