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.

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 (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

Multi margin loss (optionally weighted).

Return type

Tensor