# tensorplay.nn.functional.margin_ranking_loss

Source: https://www.tensorplay.cn/docs/generated/tensorplay.nn.functional.margin_ranking_loss.html

# tensorplay.nn.functional.margin_ranking_loss

tensorplay.nn.functional.margin_ranking_loss(input1: TensorBase, input2: TensorBase, target: TensorBase, margin: [float](https://docs.python.org/3/library/functions.html#float) = 0, size_average=None, reduce=None, reduction: [str](https://docs.python.org/3/library/stdtypes.html#str) = 'mean') → TensorBase[[source]](../_modules/tensorplay/nn/functional.html#margin_ranking_loss)

Compute the margin ranking loss.

See MarginRankingLoss for details.