code: def _create_targets(self, batch_shape=torch.Size([])):
      return torch.distributions.Categorical(
          probs=torch.tensor([0.25, 0.25, 0.25, 0.25])
      ).sample(torch.Size([*batch_shape, 5]))
  
file_path: gpytorch/test/likelihoods/test_softmax_likelihood.py
imports: import unittest
  import torch
  from torch.distributions import Distribution
  from gpytorch.distributions import MultitaskMultivariateNormal, MultivariateNormal
  from gpytorch.likelihoods import SoftmaxLikelihood
  from gpytorch.test.base_likelihood_test_case import BaseLikelihoodTestCase
label_desc: Use image node_id 3 for calling the TestSoftmaxLikelihood obj's underlying member method code with example usage: obj._create_targets(batch_shape) and returns: torch