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[Good First Issue]: Extend ONNX Frontend with DeformConv
operator
#24649
Comments
.take |
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. |
hey @nashez any help needed? |
we can wait, thanks :) |
@p-wysocki @mlukasze I haven't been able to take this up so far and I have some other issues assigned that I might be able to finish first Please unassign me from this issue and I will take it up if I have some free time |
no worries, thanks for heads up! |
.take |
Thank you for looking into this issue! Please let us know if you have any questions or require any help. |
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. Usually the operator is already implemented in OpenVINO and ONNX Frontend serves as an API translation layer.
This task requires extending OpenVINO ONNX Frontend with
DeformConv-19
operator.Necessary help will be provided by ONNX Fronted team.
What needs to be done?
.hpp
and.cpp
files forDeformConv
hereMore details on adding operators to ONNX Frontend guide
Note: Since the only difference between
DeformConv19
andDeformConv22
is new datatype, maybe ONNX can be expanded with both in the same PR?Example Pull Requests
com.microsoft.Pad
#22000Resources
Contact points
@gkrivor
@p-wysocki
@mitruska
Ticket
CVS-119903
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