I assume scores has the same spatial shape as your target.
If so, you would need to get rid of the channel dimension in y.
nn.CrossEntropyLoss expects the targets to contain the class indices in the range [0, nb_classes-1] for a multi-class segmentation use case.
You could try y = y.squeeze(1), if y already contains the class indices.