TensorFlow中复杂的切片操作

我在TensorFlow上被切片操作困住了。我要做的就是这样麻木,

>>> a = np.arange(24).reshape((4,6))
>>> a
array([[ 0,  1,  2,  3,  4,  5],
       [ 6,  7,  8,  9, 10, 11],
       [12, 13, 14, 15, 16, 17],
       [18, 19, 20, 21, 22, 23]])
>>> print(a[[2,3],[0,1]])
array([12, 19])

然而,在TensorFlow中,

>>> a = tf.Variable(np.arange(24).reshape((4,6)))
>>> with tf.Session() as sess:
...  sess.run(tf.global_variables_initializer())
...  print(sess.run(a[[2,3],[0,1]]))

我有个错误说 TypeError: can only concatenate list (not "int") to list . 有没有办法在TensorFlow中执行此切片?

谢谢您。