Hi,
I have 2 trained models, which has different number of channels in inputs and I would like to merge these network parameters. e.g.
Model1 =>Conv layer parameters [N1,C1,H,W]
Model2 =>Conv layer parameters [N2,C2,H,W]
Final Model => [N1+N2,C1+C2,H,W]
As torch.cat will concatenate only along single axis. Any suggestion to merge and copy conv layer parameters to a separate network.
Thanks