xlnstorch.operators.lns_margin_ranking_loss

xlnstorch.operators.lns_margin_ranking_loss(x1, x2, y, margin, base, size_average=None, reduce=None, reduction='mean')

See docs for torch.nn.functional.margin_ranking_loss() for parameter/return details. Typically, torch.Tensor arguments are the equivalent internal representations of LNStensors.

Parameters:

• x1 (Tensor)

• x2 (Tensor)

• y (Tensor)

• margin (Tensor)

• base (Tensor)

• size_average (bool)

• reduce (bool)

• reduction (str)

Return type:

Tensor