17 lines
472 B
Python
17 lines
472 B
Python
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import torch
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from torch import nn
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class SiLogLoss(nn.Module):
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def __init__(self, lambd=0.5):
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super().__init__()
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self.lambd = lambd
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def forward(self, pred, target, valid_mask):
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valid_mask = valid_mask.detach()
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diff_log = torch.log(target[valid_mask]) - torch.log(pred[valid_mask])
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loss = torch.sqrt(torch.pow(diff_log, 2).mean() -
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self.lambd * torch.pow(diff_log.mean(), 2))
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return loss
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