torch.nn.functional.multilabel_margin_loss# torch.nn.functional.multilabel_margin_loss(input, target, size_average=None, reduce=None, reduction='mean')[source]# Compute the multilabel margin loss. See MultiLabelMarginLoss 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 margin loss. Return type Tensor