class_docstr: Soft Logit Margin Loss
code: def forward(self, logits, targets):
      return soft_logit_margin_loss(
          logits, targets, reduction=self.reduction, offset=self.offset
      )
  
imports: import torch
  from torch.nn.modules.loss import _Loss
  from advertorch.utils import clamp
label_desc: Use image node_id 2 for calling the SoftLogitMarginLoss obj's underlying member method code with example usage: obj.forward(logits, targets) and returns: soft_logit_margin_loss