Add custom layers package #12
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tip3x
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May 22, 2022
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tip3x
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LGTM Nice!
I don't like all the x vars but I see it all over the repo anyway
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@tip3x I agree about x vars, but its quite common generally in the keras community and docs to use it. |
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doronHarnoy
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May 24, 2022
* convert to poetry * add make file * remove unused files * update license * throw warning if lambda layers exist * add custom onnx layer and hard sigmoid in it * connect hard sigmoid layer to converter * test hard sigmoid * add get config for onnx custom layer * send custom onnx objects map when loading from config * add keras-data-format-converter * add all interpolation modes to upsample * add all deeplab version tests * add convert_channels_first_to_last to testing
doronHarnoy
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May 24, 2022
* convert to poetry * add make file * remove unused files * update license * throw warning if lambda layers exist * add custom onnx layer and hard sigmoid in it * connect hard sigmoid layer to converter * test hard sigmoid * add get config for onnx custom layer * send custom onnx objects map when loading from config * add keras-data-format-converter * add all interpolation modes to upsample * add all deeplab version tests * add convert_channels_first_to_last to testing
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This Pr is adding custom onnx layers to extend our onnx coverage.
We start here by creating the onnx hard sigmoid operator as custom keras layer.
I converted this package also to poetry for our convenient.