code: def test_lower_cholesky_affine(self):
      # NOTE: Need following since helper function unimplemented
      def transform_factory(input_dim):
          loc = torch.randn(input_dim)
          scale_tril = torch.randn(
              input_dim
          ).exp().diag() + 0.03 * torch.randn(input_dim, input_dim)
          scale_tril = scale_tril.tril(0)
          return T.LowerCholeskyAffine(loc, scale_tril)
  
      self._test(transform_factory, autodiff=False)
  
imports: import operator
  from functools import partial, reduce
  from unittest import TestCase
  import pytest
  import torch
  import pyro.distributions
  import pyro.distributions.transforms
  from pyro.distributions import constraints
  from tests.common import assert_close
label_desc: Use image node_id 28 for calling the TransformTests obj's underlying member method code with example usage: obj.test_lower_cholesky_affine() and returns: T