code: def forward(self, x):
      self.integration_time = self.integration_time.type_as(x)
      out = odeint(
          self.odefunc,
          x,
          self.integration_time,
          rtol=args.tol,
          atol=args.tol,
      )
      return out[1]
  
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 ODEBlock obj's underlying member method code with example usage: obj.forward(x) and returns: out