import tensorflow as tf


INPUT_DIM = 5
OUTPUT_DIM = 3

def generator_fn(generator_inputs):
    outputs = tf.layers.dense(generator_inputs, OUTPUT_DIM)
    return outputs


def discriminator_fn(data, generator_inputs):
    outputs = tf.layers.dense(data, 1)
    return outputs


def model_fn(features, labels, mode, params):
    # build model
    global_step = tf.train.get_global_step()

    generator_inputs = features
    real_data = labels
