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Wessam611 focal loss kwargs (#1) #2

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Wessam611 focal loss kwargs (#1) #2

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7 changes: 4 additions & 3 deletions cbloss/loss.py
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Original file line number Diff line number Diff line change
Expand Up @@ -46,20 +46,21 @@ class FocalLoss(nn.Module):
Focal loss value.
"""

def __init__(self, num_classes, alpha=1, gamma=2, reduction="mean"):
def __init__(self, num_classes, alpha=1, gamma=2, reduction="mean", **kwargs):
super(FocalLoss, self).__init__()
self.num_classes = num_classes
self.alpha = alpha
self.gamma = gamma
self.reduction = reduction
self.kwargs = kwargs

def forward(self, outputs, targets):
if self.num_classes == 2:
# binary classification problem
ce_loss = F.binary_cross_entropy_with_logits(outputs, targets.float(), reduction="none")
ce_loss = F.binary_cross_entropy_with_logits(outputs, targets.float(), reduction="none", **self.kwargs)
elif self.num_classes > 2:
# multi-class classification problem
ce_loss = F.cross_entropy(outputs, targets, reduction="none")
ce_loss = F.cross_entropy(outputs, targets, reduction="none", **self.kwargs)
else:
raise ValueError(f"Invalid input value : {self.num_classes}. It should be equal or greater than 2.")

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