transpose(
  a,
  perm=None,
  name='transpose'
)

x = tf.constant([[1, 2, 3], [4, 5, 6]])
tf.transpose(x) # [[1, 4]
         # [2, 5]
         # [3, 6]]

tf.transpose(x, perm=[1, 0]) # [[1, 4]
               # [2, 5]
               # [3, 6]]

# 'perm' is more useful for n-dimensional tensors, for n > 2
x = tf.constant([[[ 1, 2, 3],
         [ 4, 5, 6]],
         [[ 7, 8, 9],
         [10, 11, 12]]])

# Take the transpose of the matrices in dimension-0
tf.transpose(x, perm=[0, 2, 1]) # [[[1, 4],
                 #  [2, 5],
                 #  [3, 6]],
                 # [[7, 10],
                 #  [8, 11],
                 #  [9, 12]]]

x = [[1 2 3]
   [4 5 6]]

tf.transpose(x) ==> [[1 4]
           [2 5]
           [3 6]]

tf.transpose(x) 等价于：
tf.transpose(x perm=[1, 0]) ==> [[1 4]
                 [2 5]
                 [3 6]]

a=tf.constant([[[1,2,3],[4,5,6]],[[7,8,9],[10,11,12]]])
array([[[ 1, 2, 3],
    [ 4, 5, 6]],

    [[ 7, 8, 9],
    [10, 11, 12]]])

x=tf.transpose(a,[1,0,2])
array([[[ 1, 2, 3],
    [ 7, 8, 9]],

    [[ 4, 5, 6],
    [10, 11, 12]]])

x=tf.transpose(a,[0,2,1])
array([[[ 1, 4],
    [ 2, 5],
    [ 3, 6]],

    [[ 7, 10],
    [ 8, 11],
    [ 9, 12]]]) 

x=tf.transpose(a,[2,1,0])
array([[[ 1, 7],
    [ 4, 10]],

    [[ 2, 8],
    [ 5, 11]],

    [[ 3, 9],
    [ 6, 12]]])


array([[[ 1, 7],
    [ 4, 10]],

    [[ 2, 8],
    [ 5, 11]],

    [[ 3, 9],
    [ 6, 12]]])

x=tf.transpose(a,[1,2,0])
array([[[ 1, 7],
    [ 2, 8],
    [ 3, 9]],

    [[ 4, 10],
    [ 5, 11],
    [ 6, 12]]])