code: def test_transform_tensor_greater_than(self):
      constraint = gpytorch.constraints.GreaterThan([1.0, 2.0])
  
      v = torch.tensor([-3.0, -2.0])
  
      value = constraint.transform(v)
      actual_value = v.clone()
      actual_value[0] = softplus(v[0]) + 1.0
      actual_value[1] = softplus(v[1]) + 2.0
  
      self.assertAllClose(value, actual_value)
  
imports: import math
  import unittest
  import torch
  from torch import sigmoid
  from torch.nn.functional import softplus
  import gpytorch
  from gpytorch.test.base_test_case import BaseTestCase
label_desc: Use image node_id 2 for calling the TestGreaterThan obj's underlying member method code with example usage: obj.test_transform_tensor_greater_than() without return types