code: def test_batch_base_kernel(self):
      base_kernel = RBFKernel(
          batch_shape=torch.Size([3]), ard_num_dims=2
      )
      kernel = GridInterpolationKernel(
          base_kernel,
          num_dims=2,
          grid_size=128,
          grid_bounds=[(-1.2, 1.2)] * 2,
      )
  
      xs = torch.randn(5, 2).clamp(-1, 1)
      grid_eval = kernel(xs, xs).to_dense()
      actual_eval = base_kernel(xs, xs).to_dense()
      self.assertLess(torch.norm(grid_eval - actual_eval), 2e-5)
  
      xs = torch.randn(3, 5, 2).clamp(-1, 1)
      grid_eval = kernel(xs, xs).to_dense()
      actual_eval = base_kernel(xs, xs).to_dense()
      self.assertLess(torch.norm(grid_eval - actual_eval), 2e-5)
  
      xs = torch.randn(4, 3, 5, 2).clamp(-1, 1)
      grid_eval = kernel(xs, xs).to_dense()
      actual_eval = base_kernel(xs, xs).to_dense()
      self.assertLess(torch.norm(grid_eval - actual_eval), 2e-5)
  
imports: import unittest
  import torch
  from linear_operator.operators import InterpolatedLinearOperator
  from gpytorch.kernels import GridInterpolationKernel, RBFKernel
label_desc: Use image node_id 2 for calling the TestGridInterpolationKernel obj's underlying member method code with example usage: obj.test_batch_base_kernel() without return types