code: def test_horseshoe_prior_log_prob_log_transform(self, cuda=False):
      device = torch.device("cuda") if cuda else torch.device("cpu")
      scale = torch.tensor(0.1, device=device)
      prior = HorseshoePrior(scale)
      prior_tf = HorseshoePrior(scale, transform=torch.exp)
      t = torch.tensor(0.5, device=device)
      self.assertTrue(
          torch.equal(prior_tf.log_prob(t), prior.log_prob(t.exp()))
      )
  
file_path: gpytorch/test/priors/test_horseshoe_prior.py
imports: import unittest
  import torch
  from gpytorch.priors import HorseshoePrior
label_desc: Use image node_id 5 for calling the TestHorseshoePrior obj's underlying member method code with example usage: obj.test_horseshoe_prior_log_prob_log_transform(cuda) without return types