code: def generator(x, reuse=False):
      with tf.variable_scope("Generator", reuse=reuse):
          x = tflearn.fully_connected(x, 256, activation="relu")
          x = tflearn.fully_connected(
              x, image_dim, activation="sigmoid"
          )
          return x
  
file_path: tflearn/examples/images/gan.py
imports: from __future__ import division, print_function, absolute_import
  import matplotlib.pyplot
  import numpy
  import tensorflow.compat.v1
  import tflearn
  import tflearn.datasets.mnist
label_desc: Use image node_id 1 for calling a global function with example usage: generator(x, reuse) and returns: x