code: def __init__(self, dim):
      super(ODEfunc, self).__init__()
      self.norm1 = norm(dim)
      self.relu = nn.ReLU(inplace=True)
      self.conv1 = ConcatConv2d(dim, dim, 3, 1, 1)
      self.norm2 = norm(dim)
      self.conv2 = ConcatConv2d(dim, dim, 3, 1, 1)
      self.norm3 = norm(dim)
      self.nfe = 0
  
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 ODEfunc object from inherited base classes: nn with example: obj = ODEfunc(dim)