Margin_ranking_loss
Creates a criterion that measures the loss given inputs x1 , x2 , two 1D mini-batch Tensors, and a label 1D mini-batch tensor y (containing 1 or -1).
nnf_margin_ranking_loss(input1, input2, target, margin = 0, reduction = "mean")
input1 |
the first tensor |
input2 |
the second input tensor |
target |
the target tensor |
margin |
Has a default value of 00 . |
reduction |
(string, optional) – Specifies the reduction to apply to the output: 'none' | 'mean' | 'sum'. 'none': no reduction will be applied, 'mean': the sum of the output will be divided by the number of elements in the output, 'sum': the output will be summed. Default: 'mean' |
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