code: def forward(self, x):
      mean_x = self.mean_module(x)
      covar_x = self.covar_module(x)
      return gpytorch.distributions.MultivariateNormal(mean_x, covar_x)
  
file_path: gpytorch/test/mlls/test_leave_one_out_pseudo_likelihood.py
imports: import math
  import unittest
  import torch
  import gpytorch
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: gpytorch