code: def evaluate_linear_op(self, lazy_tensor):
      with gpytorch.settings.lazily_evaluate_kernels(False):
          return to_dense(
              lazy_tensor.kernel(lazy_tensor.x1, lazy_tensor.x2)
          )
  
imports: import math
  import unittest
  from unittest.mock import MagicMock, patch
  import linear_operator
  import torch
  from linear_operator import to_dense
  from linear_operator.test.linear_operator_test_case import LinearOperatorTestCase
  import gpytorch
label_desc: Use image node_id 2 for calling the TestLazyEvaluatedKernelTensorBatch obj's underlying member method code with example usage: obj.evaluate_linear_op(lazy_tensor) and returns: to_dense