fff.py

def create_graph():
    with tf.gfile.FastGFile(os.path.join(MODEL_DIR, 'classify_image_graph_def.pb'), 'rb') as f:
        graph_def = tf.GraphDef()
        graph_def.ParseFromString(f.read())
        _ = tf.import_graph_def(graph_def, name='')
        
def run_inference_on_image(image):
    if not tf.gfile.Exists(image):
        tf.logging.fatal('File does not exist %s', image)
    image_data = tf.gfile.FastGFile(image, 'rb').read()
    
    create_graph()
    
    # Creates graph from saved GraphDef.
    with tf.Session(config=tf.ConfigProto(
            allow_soft_placement=True,
            log_device_placement=True,
        )) as sess:

        print sess.graph.get_collection(tf.GraphKeys.VARIABLES)