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Commit 9ae2389

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author
Stefan
committed
Removed extra loss functions
1 parent 3ad908b commit 9ae2389

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-274
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2 files changed

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‎losses.py

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‎probabilistic_unet.py

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@@ -3,7 +3,6 @@
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from unet_blocks import *
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from unet import Unet
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from utils import init_weights,init_weights_orthogonal_normal, l2_regularisation
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from losses import lovasz_hinge, dice_loss, binary_xloss
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import torch.nn.functional as F
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from torch.distributions import Normal, Independent, kl
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@@ -277,7 +276,4 @@ def elbo(self, segm, analytic_kl=True, reconstruct_posterior_mean=False):
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self.reconstruction_loss = torch.sum(reconstruction_loss)
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self.mean_reconstruction_loss = torch.mean(reconstruction_loss)
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#self.reconstruction_loss = dice_loss(torch.sigmoid(self.reconstruction), segm)
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#self.reconstruction_loss = lovasz_hinge(self.reconstruction, segm)
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return -(self.reconstruction_loss + self.beta * self.kl)

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