code: def forward(self, input):
      mean = self.mean_module(input)
      covar = self.covar_module(input)
      return gpytorch.distributions.MultivariateNormal(mean, covar)
  
imports: import math
  import unittest
  import linear_operator
  import torch
  import gpytorch
  from gpytorch.kernels import LinearKernel, MaternKernel, RBFKernel, RFFKernel
label_desc: Use image node_id 2 for calling the _TestModelNoStructure obj's underlying member method code with example usage: obj.forward(input) and returns: gpytorch