code: def forward(self, t, x):
      self.nfe += 1
      out = self.norm1(x)
      out = self.relu(out)
      out = self.conv1(t, out)
      out = self.norm2(out)
      out = self.relu(out)
      out = self.conv2(t, out)
      out = self.norm3(out)
      return out
  
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 2 for calling the ODEfunc obj's underlying member method code with example usage: obj.forward(t, x) and returns: out