code: def forward(self, t, x):
      self.nfe += 1
      out = self.fc1(x)
      out = self.elu(out)
      out = self.fc2(out)
      out = self.elu(out)
      out = self.fc3(out)
      return out
  
imports: import os
  import argparse
  import logging
  import time
  import numpy
  import numpy.random
  import matplotlib
  import matplotlib.pyplot
  import torch
  import torch.nn
  import torch.optim
  import torch.nn.functional
label_desc: Use image node_id 2 for calling the LatentODEfunc obj's underlying member method code with example usage: obj.forward(t, x) and returns: out