tf.VERSION

    x=tf.random_normal([3, 5], mean=6, stddev=0.1, seed = 1)

    sess=tf.Session()
    sess.run(tf.global_variables_initializer())
    print (sess.run(x))

    print (sess.run(tf.rank(x)))
    print(x.get_shape())

    print (sess.run(tf.reduce_sum(x, axis=0)))
    print (sess.run(tf.reduce_sum(x, axis=1)))
    #print (sess.run(tf.reduce_sum(x, axis=2)))
    print (sess.run(tf.reduce_sum(x, axis=-1)))
    print (sess.run(tf.reduce_sum(x, axis=-2)))
    print (sess.run(tf.reduce_sum(x, axis=-0)))
    print (sess.run(tf.reduce_sum(x)))

print (sess.run(tf.reduce_sum(x, axis=0)))
print (sess.run(tf.reduce_sum(x, axis=-2)))
print (sess.run(tf.reduce_sum(x, axis=-0)))

[ 17.9120121   17.9436512   18.04117966  17.99973488  18.22536087]
[ 18.19397736  18.0986042   17.77911758  18.04470444  18.13854599]
[ 17.79566956  17.62731934  18.20363617  17.86869431  17.68902588]

print (sess.run(tf.reduce_sum(x, axis=1)))
#print (sess.run(tf.reduce_sum(x, axis=2)))
print (sess.run(tf.reduce_sum(x, axis=-1)))
[ 30.00725937  29.59056282  29.74820328]
[ 30.26529694  30.25191307  29.81847382]

print (sess.run(tf.reduce_sum(x)))
90.3285