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torch.nn.functional.multi_margin_loss#

torch.nn.functional.multi_margin_loss(input,target,p=1,margin=1.0,weight=None,size_average=None,reduce=None,reduction='mean')[source]#

Compute the multi margin loss, with optional weighting.

SeeMultiMarginLoss for details.

Parameters

  • input (Tensor) – Predicted values.

  • target (Tensor) – Ground truth values.

  • p (int,optional) – Has a default value of 1. 1 and 2 are the only supported values.

  • margin (float,optional) – Margin for multi margin loss. Has a default value of 1.

  • weight (Tensor,optional) – Weights for each sample. Default: None.

  • 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

Multi margin loss (optionally weighted).

Return type

Tensor