code: def __init__(self, num_classes, epsilon):
      super(CrossEntropyLabelSmooth, self).__init__()
      self.num_classes = num_classes
      self.epsilon = epsilon
      self.logsoftmax = nn.LogSoftmax(dim=1)
  
imports: import math
  import os
  import random
  import sys
  import time
  import warnings
  import numpy
  import numpy
  import shutil
  import logging
  import torch
  import torchvision.transforms
  import torchvision.datasets
  import torch.nn
label_desc: Use image node_id 1 to create a new CrossEntropyLabelSmooth object from inherited base classes: nn with example: obj = CrossEntropyLabelSmooth(num_classes, epsilon)