code: def test_smoothed_box_prior_log_prob_log_transform(self, cuda=False):
      device = torch.device("cuda") if cuda else torch.device("cpu")
      a, b = torch.zeros(2, device=device), torch.ones(2, device=device)
      sigma = 0.1
      prior = SmoothedBoxPrior(a, b, sigma, transform=torch.exp)
  
      t = torch.tensor([0.5, 1.1], device=device).log()
      self.assertAlmostEqual(
          prior.log_prob(t).item(), -0.9473, places=4
      )
      t = torch.tensor([[0.5, 1.1], [0.1, 0.25]], device=device).log()
      log_prob_expected = torch.tensor(
          [-0.947347, -0.447347], device=t.device
      )
      self.assertTrue(
          torch.all(approx_equal(prior.log_prob(t), log_prob_expected))
      )
      with self.assertRaises(RuntimeError):
          prior.log_prob(torch.ones(3, device=device))
  
file_path: gpytorch/test/priors/test_smoothed_box_prior.py
imports: import math
  import unittest
  import torch
  from gpytorch.priors import SmoothedBoxPrior
  from gpytorch.test.utils import approx_equal, least_used_cuda_device
label_desc: Use image node_id 5 for calling the TestSmoothedBoxPrior obj's underlying member method code with example usage: obj.test_smoothed_box_prior_log_prob_log_transform(cuda) without return types