code: def __init__(self, data):
      self.data = data.type(torch.float)
  
imports: import logging
  import os
  from typing import List
  import numpy
  import torch
  import torch.nn
  from torch.utils.data import Dataset
  from pythae.data.datasets import DatasetOutput
  from pythae.models import CIWAE, AutoModel, CIWAEConfig
  from pythae.models.base.base_utils import ModelOutput
  from pythae.models.nn import BaseDecoder, BaseEncoder
  from pythae.trainers import BaseTrainer, BaseTrainerConfig
label_desc: Use image node_id 1 to create a new DynBinarizedMNIST object from inherited base classes: Dataset with example: obj = DynBinarizedMNIST(data)