code: def test_preloaded_full(self):
      with self.test_session() as sess:
          x_data = np.array(
              [0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0]
          )
  
          mu = Normal(loc=0.0, scale=1.0)
          x = Normal(loc=tf.ones(10) * mu, scale=tf.ones(1))
  
          qmu = Normal(loc=tf.Variable(0.0), scale=tf.constant(1.0))
  
          inference = ed.KLqp({mu: qmu}, data={x: x_data})
          inference.initialize()
          tf.global_variables_initializer().run()
  
          val = sess.run(inference.data[x])
          self.assertAllEqual(val, x_data)
  
file_path: edward/tests/inferences/inference_data_test.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import edward
  import numpy
  import six
  import tensorflow
  from edward.models import Normal
label_desc: Use image node_id 1 for calling the test_inference_data_class obj's underlying member method code with example usage: obj.test_preloaded_full() without return types