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import torch.nn.functional as F
import torch
def l1_loss(output, target_rgb, target_raw, weight=1.):
raw_loss = F.l1_loss(output['reconstruct_raw'], target_raw)
rgb_loss = F.l1_loss(output['reconstruct_rgb'], target_rgb)
total_loss = raw_loss + weight * rgb_loss
return total_loss, raw_loss, rgb_loss
def l2_loss(output, target_rgb, target_raw, weight=1.):
raw_loss = F.mse_loss(output['reconstruct_raw'], target_raw)
rgb_loss = F.mse_loss(output['reconstruct_rgb'], target_rgb)
total_loss = raw_loss + weight * rgb_loss
return total_loss, raw_loss, rgb_loss |