code: def forward(self, x):
      mean_x = self.mean_module(x)
      covar_x = self.covar_module(x)
      return MultitaskMultivariateNormal(mean_x, covar_x)
  
imports: import math
  import os
  import random
  import unittest
  import torch
  from torch import optim
  import gpytorch
  from gpytorch.distributions import MultitaskMultivariateNormal
  from gpytorch.kernels import MultitaskKernel, RBFKernel
  from gpytorch.likelihoods import MultitaskGaussianLikelihood
  from gpytorch.means import ConstantMean, MultitaskMean
label_desc: Use image node_id 2 for calling the ExactGPModel obj's underlying member method code with example usage: obj.forward(x) and returns: MultitaskMultivariateNormal