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torch.nn.functional.margin_ranking_loss#

torch.nn.functional.margin_ranking_loss(input1,input2,target,margin=0,size_average=None,reduce=None,reduction='mean')[source]#

Compute the margin ranking loss.

SeeMarginRankingLoss for details.

Parameters

  • input1 (Tensor) – Predicted values.

  • input2 (Tensor) – Predicted values.

  • target (Tensor) – Ground truth values.

  • size_average (bool,optional) – Deprecated (seereduction).

  • reduce (bool,optional) – Deprecated (seereduction).

  • reduction (str,optional) – Specifies the reduction to apply to the output:‘none’ | ‘mean’ | ‘sum’. ‘mean’: the mean of the output is taken.‘sum’: the output will be summed. ‘none’: no reduction will be applied.Default: ‘mean’.

Returns

Margin ranking loss.

Return type

Tensor