ConcatOp error when changing layer_depth=3 to a larger value in circle demo.

[avose]

Thanks much for your project and making your source available to others! : ) Wondering if someone may be able to help with an issue I'm having.

I took the code from the circle.ipynb demo and made a .py demo from it (copy / paste). Everything is working great there. However, when I change layer_depth=3 to a new value, I get ConcatOp errors.

I change: unet_model = unet.build_model(channels=circles.channels, num_classes=circles.classes, layer_depth=3, filters_root=16)

To be: unet_model = unet.build_model(channels=circles.channels, num_classes=circles.classes, layer_depth=4, filters_root=16)

Then I see errors when I try to run: tensorflow.python.framework.errors_impl.InvalidArgumentError: ConcatOp : Dimensions of inputs should match: shape[0] = [1,64,35,35] vs. shape[1] = [1,64,34,34] [[node unet/crop_concat_block/concat (defined at /home/avose/workspace/butterfly/synth/bf_unet/unet/unet.py:130) ]] [Op:__inference_distributed_function_2008]

Any tips would be greatly appreciated. I have also been playing with the TF1.x version of unet, and that version does seem to allow me to change the layer depth option without giving any errors.

[avose]

Sorry, I posted this to the TF1 version, the issue I have is with the TF2 version. I will close this now, my apologies.