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With FluxML/Flux.jl#718 flux now supports asymmetrical padding, so it would be great to be able to support ONNX models that use asymmetrical padding, such as YOLOv2 (YOLOv3 uses symmetrical padding, I believe)
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It'd be great to try out the models we previously couldn't. There's been a lot of refactoring going on in Flux/NNlib. This includes asymmetric pads/LRN layer and CrossCor for Flux. I'll make all the required changes in this package once these PRs are merged.
@ianshmean I've made a few basic changes (asymmetric padding, CrossCor). Feel free to go ahead and try these out. (Please open an issue in case there's something wrong/missing.)
With FluxML/Flux.jl#718 flux now supports asymmetrical padding, so it would be great to be able to support ONNX models that use asymmetrical padding, such as YOLOv2 (YOLOv3 uses symmetrical padding, I believe)
The text was updated successfully, but these errors were encountered: