code: def __init__(self, dataset, seed=1234):
      self.base_seed = seed
      self.dataset = dataset
      self.epoch = SharedEpoch()
  
imports: import random
  import numpy
  import torch
  from PIL import Image, ImageFilter, ImageOps
  from torch.utils.data import Dataset
  from nemo.collections.multimodal.data.common.data_samplers import SharedEpoch
  from nemo.collections.vision.data.megatron.autoaugment import ImageNetPolicy
  from nemo.collections.vision.data.megatron.image_folder import ImageFolder
label_desc: Use image node_id 1 to create a new RandomSeedDataset object from inherited base classes: Dataset with example: obj = RandomSeedDataset(dataset, seed)