code: def testUnconstrainedUniformSingleDistribution(self):
      seed = test_util.test_seed(sampler_type="stateless")
      for model_dist in [
          normal.Normal(loc=0, scale=2),
          mvn_diag.MultivariateNormalDiag(loc=[0, 1]),
      ]:
          init_dist = initialization.init_near_unconstrained_zero(
              model_dist
          )
          samples = self.evaluate(init_dist.sample(10, seed=seed))
          self.assertAllFinite(samples)
          self.assertAllFinite(
              self.evaluate(model_dist.log_prob(samples))
          )
  
imports: import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import exp
  from tensorflow_probability.python.bijectors import identity
  from tensorflow_probability.python.bijectors import pad
  from tensorflow_probability.python.bijectors import sigmoid
  from tensorflow_probability.python.distributions import half_cauchy
  from tensorflow_probability.python.distributions import joint_distribution_auto_batched
  from tensorflow_probability.python.distributions import joint_distribution_coroutine
  from tensorflow_probability.python.distributions import joint_distribution_named
  from tensorflow_probability.python.distributions import joint_distribution_sequential
  from tensorflow_probability.python.distributions import multinomial
  from tensorflow_probability.python.distributions import mvn_diag
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.distributions import sample
  from tensorflow_probability.python.distributions import uniform
  from tensorflow_probability.python.experimental import distribute
  from tensorflow_probability.python.experimental.mcmc import initialization
  from tensorflow_probability.python.internal import distribute_test_lib
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 3 for calling the InitializationTest obj's underlying member method code with example usage: obj.testUnconstrainedUniformSingleDistribution() without return types