mvoelk / keras_layers Goto Github PK

Hi, thank you for your implementation. I added AddCoords2D to my model, however, when weights are being saved, it gives an error:
NotImplementedError: Layer AddCoords2D has arguments in initand therefore must overrideget_config.

Hi, thank you for your implementation. I tried to change 8 Conv2D layers with DeformableConv2D and during memory allocating (model build), GPU soon runs out of memory (8GB). Although with a small number of filters everything seems to be good. Is the DeformableConv2D operation not very memory efficient?

Hey, thanks for the implementation - works well, also the example. My Question is, is there a speed gain vs the common Conv2d?