code: def __init__(
      self, lb_smooth=0.1, reduction="mean", ignore_index=-100
  ):
      super(LabelSmoothSoftmaxCEV1, self).__init__()
      self.lb_smooth = lb_smooth
      self.reduction = reduction
      self.lb_ignore = ignore_index
      self.log_softmax = nn.LogSoftmax(dim=1)
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from torch.autograd import Variable
label_desc: Use image node_id 1 to create a new LabelSmoothSoftmaxCEV1 object from inherited base classes: nn with example: obj = LabelSmoothSoftmaxCEV1(lb_smooth, reduction, ignore_index)