eureka7mt commented on issue #13612: add pos_weight for SigmoidBinaryCrossEntropyLoss URL: https://github.com/apache/incubator-mxnet/pull/13612#issuecomment-470414059 @wkcn It could be a scalar for classifying a single class.But for multi-class and multi-label classifying,it should be a tensor.Because in this situation,the number of positive examples and negative examples isn't same for each class. And in pytorch,it's also defined as a tensor.See the [pytorch docs](https://pytorch.org/docs/master/nn.html?highlight=binary_cross_entropy_with_logits#torch.nn.functional.binary_cross_entropy_with_logits).
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