code: def neural_network(x, W_0, W_1, b_0, b_1):
      h = tf.nn.relu(tf.matmul(x, W_0) + b_0)
      h = tf.nn.relu(tf.matmul(h, W_1) + b_1)
      return h
  
file_path: edward/tests/inferences/inference_integer_test.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import edward
  import numpy
  import tensorflow
  from edward.models import Normal, Categorical
label_desc: Use image node_id 1 for calling a global function with example usage: neural_network(x, W_0, W_1, b_0, b_1) and returns: h