class_docstr: Soft Logit Margin Loss
code: def __init__(
      self,
      size_average=None,
      reduce=None,
      reduction="elementwise_mean",
      offset=0.0,
  ):
      super(SoftLogitMarginLoss, self).__init__(
          size_average, reduce, reduction
      )
      self.offset = offset
  
imports: import torch
  from torch.nn.modules.loss import _Loss
  from advertorch.utils import clamp
label_desc: Use image node_id 1 to create a new SoftLogitMarginLoss object from inherited base classes: _Loss with example: obj = SoftLogitMarginLoss(size_average, reduce, reduction, offset)