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Pas reg sur apprentissage mag seules

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Harle, Antoine (Contracteur) 2020-03-05 15:35:22 -05:00
parent 4166922c34
commit b820f49437
1 changed files with 2 additions and 2 deletions
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4
higher/smart_aug/dataug.py
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@ -251,7 +251,7 @@ class Data_augV5(nn.Module): #Optimisation jointe (mag, proba)
Returns: Returns:
Tensor containing the regularisation loss value. Tensor containing the regularisation loss value.
""" """
if self._fixed_mag: if self._fixed_mag or self._fixed_prob: #Not enough DOF
return torch.tensor(0) return torch.tensor(0)
else: else:
#return reg_factor * F.l1_loss(self._params['mag'][self._reg_mask], target=self._reg_tgt, reduction='mean') #return reg_factor * F.l1_loss(self._params['mag'][self._reg_mask], target=self._reg_tgt, reduction='mean')
@ -559,7 +559,7 @@ class Data_augV7(nn.Module): #Proba sequentielles
Returns: Returns:
Tensor containing the regularisation loss value. Tensor containing the regularisation loss value.
""" """
if self._fixed_mag: if self._fixed_mag or self._fixed_prob: #Not enough DOF
return torch.tensor(0) return torch.tensor(0)
else: else:
#return reg_factor * F.l1_loss(self._params['mag'][self._reg_mask], target=self._reg_tgt, reduction='mean') #return reg_factor * F.l1_loss(self._params['mag'][self._reg_mask], target=self._reg_tgt, reduction='mean')