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Repair the loss parameter #37

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Repair the loss parameter #37

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5 changes: 4 additions & 1 deletion training/losses.py
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Original file line number Diff line number Diff line change
Expand Up @@ -14,7 +14,10 @@ def BCELogit_Loss(score_map, labels):
loss (scalar torch.Tensor): The BCE Loss with Logits for the score map and labels.
"""
labels = labels.unsqueeze(1)
"""
The choices for the parameter reduction of the function torch.nn.functional.binary_cross_entropy_with_logits in pytorch 0.4.1 are 'none'|‘elementwise_mean’ | ‘sum’.
"""
loss = F.binary_cross_entropy_with_logits(score_map, labels[:, :, :, :, 0],
weight=labels[:, :, :, :, 1],
reduction='mean')
reduction='elementwise_mean')
return loss