nnf_soft_margin_loss function

Soft_margin_loss

Soft_margin_loss

Creates a criterion that optimizes a two-class classification logistic loss between input tensor x and target tensor y (containing 1 or -1).

nnf_soft_margin_loss(input, target, reduction = "mean")

Arguments

  • input: tensor (N,*) where ** means, any number of additional dimensions
  • target: tensor (N,*) , same shape as the input
  • 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'
  • Maintainer: Daniel Falbel
  • License: MIT + file LICENSE
  • Last published: 2025-02-14