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Loss weighting #32

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mrgloom opened this issue Apr 19, 2019 · 1 comment
Open

Loss weighting #32

mrgloom opened this issue Apr 19, 2019 · 1 comment

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@mrgloom
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mrgloom commented Apr 19, 2019

As I can see here:

self.global_loss = combined_loss(self.scale_preds_train,

def combined_loss(gen_frames, gt_frames, d_preds, lam_adv=1, lam_lp=1, lam_gdl=1, l_num=2, alpha=2):

there is no weighting on GDL loss, but as I understand absolute values of L2 loss and GDL loss will have large difference. Is it normal?

@dyelax

@mrgloom
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mrgloom commented Apr 22, 2019

Here I also see weights for losses, but looks like they are not used:

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