torch.nn.functional.multilabel_soft_margin_loss

torch.nn.functional.multilabel_soft_margin_loss(input, target, weight=None, size_average=None, reduce=None, reduction='mean')

Compute the multilabel soft margin loss.

See MultiLabelSoftMarginLoss for details.

Parameters

• input (Tensor) – Predicted values.

• target (Tensor) – Ground truth values.

• size_average (bool, optional) – Deprecated (see reduction).

• reduce (bool, optional) – Deprecated (see reduction).

• 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

Mutilabel soft margin loss.

Return type

Tensor