code: def __init__(self, train_x, train_y):
      likelihood = gpytorch.likelihoods.GaussianLikelihood()
      super().__init__(train_x, train_y, likelihood)
      self.mean_module = gpytorch.means.ZeroMean()
      self.covar_module = InducingPointKernel(
          ScaleKernel(RBFKernel(ard_num_dims=3)),
          inducing_points=torch.randn(512, 3),
          likelihood=likelihood,
      )
  
file_path: gpytorch/test/kernels/test_inducing_point_kernel.py
imports: import unittest
  from unittest.mock import MagicMock, patch
  import linear_operator
  import torch
  import gpytorch
  from gpytorch.kernels import InducingPointKernel, RBFKernel, ScaleKernel
label_desc: Use image node_id 1 to create a new _TestModel object from inherited base classes: gpytorch.models with example: obj = _TestModel(train_x, train_y)