obstbraende

    import tensorflow as tf 
    sess = tf.InteractiveSession() # magic incantation

    state = init_state = tf.Variable(1) # initialise a scalar variable

    states = []
    for step in range(10):
         # this seems to define a graph that updates `state`:
         state = tf.add(state,state)
         states.append(state)

    sess.run(tf.initialize_all_variables())

    print sess.run(states)
    >>> [2, 4, 8, 16, 32, 64, 128, 256, 512, 1024]