code: def __init__(self, odefunc):
      super(ODEBlock, self).__init__()
      self.odefunc = odefunc
      self.integration_time = torch.tensor([0, 1]).float()
  
imports: import os
  import argparse
  import logging
  import time
  import numpy
  import torch
  import torch.nn
  from torch.utils.data import DataLoader
  import torchvision.datasets
  import torchvision.transforms
label_desc: Use image node_id 1 to create a new ODEBlock object from inherited base classes: nn with example: obj = ODEBlock(odefunc)