torch.nn.functional.hinge_embedding_loss#

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

Compute the hinge embedding loss.

Parameters

input (Tensor) – Predicted values.
target (Tensor) – Ground truth values.
margin (float, optional) – Margin for hinge loss. Has a default value of 1.
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

Hinge embedding loss.

Return type

Tensor

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