code: def test_sample(self):
      if not tf.test.is_gpu_available():
          self.skipTest("no GPU")
      with tf.device("GPU"):
          self.evaluate(
              noncentral_chi2.NoncentralChi2(
                  df=2.0, noncentrality=1.0, validate_args=True
              ).sample(seed=test_util.test_seed())
          )
  
imports: from absl.testing import parameterized
  import numpy
  from scipy import stats
  import tensorflow
  from tensorflow_probability.python.distributions import noncentral_chi2
  from tensorflow_probability.python.distributions.internal import statistical_testing
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 1 for calling the NoncentralChi2SamplingTest obj's underlying member method code with example usage: obj.test_sample() without return types