INNER CODE UNIT · Python

CrossEntropyLoss2d

nv-tlabs/GSCNN · loss.py:153

class CrossEntropyLoss2d(nn.Module):
    def __init__(self, weight=None, size_average=True, ignore_index=255):
        super(CrossEntropyLoss2d, self).__init__()
        logging.info("Using Cross Entropy Loss")
        self.nll_loss = nn.NLLLoss2d(weight, size_average, ignore_index)

    def forward(self, inputs, targets):
        return self.nll_loss(F.log_softmax(inputs), targets)

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