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stefanradev93 avatar stefanradev93 commented on September 3, 2024 1

Hi Jonas, nice spot! Are you using the most recent versions of both branches?

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stefanradev93 avatar stefanradev93 commented on September 3, 2024 1

I found out the reason why that happens even though defaults are the same across branches. Development will allow the use of residual coupling blocks, which outsourced the output layer of the block outside the internal Sequential network. TensorFlow does not know how to assign the weights for that new layer after loading. I will re-write the addition in a backward-compatible manner.

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stefanradev93 avatar stefanradev93 commented on September 3, 2024

I pushed a preliminary fix. Could you try to reproduce the bug with the current state of the Development branch? :)

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arrjon avatar arrjon commented on September 3, 2024

The preliminary fix works nicely. Issue seems to be solved!

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