10 lines
314 B
Python
10 lines
314 B
Python
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import torch.nn.functional as F
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def model_loss(disp_ests, disp_gt, mask):
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weights = [0.5, 0.5, 0.7, 1.0]
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all_losses = []
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for disp_est, weight in zip(disp_ests, weights):
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all_losses.append(weight * F.smooth_l1_loss(disp_est[mask], disp_gt[mask], size_average=True))
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return sum(all_losses)
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