code: def test_horseshoe_prior_batch_log_prob(self, cuda=False):
      device = torch.device("cuda") if cuda else torch.device("cpu")
  
      scale = torch.tensor([0.1, 0.25], device=device)
      prior = HorseshoePrior(scale)
      t = torch.ones(2, device=device)
      prior.log_prob(t)
      t = torch.ones(2, 2, device=device)
      prior.log_prob(t)
      with self.assertRaises(RuntimeError):
          prior.log_prob(torch.ones(3, device=device))
  
      scale = torch.tensor([[0.1, 0.25], [0.3, 1.0]], device=device)
      prior = HorseshoePrior(scale)
      t = torch.ones(2, device=device)
      prior.log_prob(t)
      t = torch.ones(2, 2, device=device)
      prior.log_prob(t)
      with self.assertRaises(RuntimeError):
          prior.log_prob(torch.ones(3, device=device))
      with self.assertRaises(RuntimeError):
          prior.log_prob(torch.ones(2, 3, device=device))
  
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 7 for calling the TestHorseshoePrior obj's underlying member method code with example usage: obj.test_horseshoe_prior_batch_log_prob(cuda) without return types