python 列表和字典增加值

import tensorflow as tf
import numpy as np
d_scores = {}
d_scores[0] = [[1,2],[3,4],[5,6]]
d_scores[1] = [[1,2],[3,4],[5,6]]
d_scores[2] = [[1,2],[3,4],[5,6]]

l_scores = []
l_scores.append(d_scores)
l_scores.append(d_scores)
#l_scores.append(d_scores)

ls = [s[0] for s in l_scores]

ls_ = tf.concat(ls, axis=1)

t=tf.concat([[[1, 2, 3],[4, 5, 6]],[[7, 8, 9], [10, 11, 12]]],axis=0)
with tf.Session() as sess:
    print(d_scores)
    print(l_scores)
    print(l_scores[0])
    print(ls)
    print(ls_.eval())
    print(t.eval())

结果

{0: [[1, 2], [3, 4], [5, 6]], 1: [[1, 2], [3, 4], [5, 6]], 2: [[1, 2], [3, 4], [5, 6]]}
[{0: [[1, 2], [3, 4], [5, 6]], 1: [[1, 2], [3, 4], [5, 6]], 2: [[1, 2], [3, 4], [5, 6]]}, {0: [[1, 2], [3, 4], [5, 6]], 1: [[1, 2], [3, 4], [5, 6]], 2: [[1, 2], [3, 4], [5, 6]]}]
{0: [[1, 2], [3, 4], [5, 6]], 1: [[1, 2], [3, 4], [5, 6]], 2: [[1, 2], [3, 4], [5, 6]]}
[[[1, 2], [3, 4], [5, 6]], [[1, 2], [3, 4], [5, 6]]]
[[1 2 1 2]
 [3 4 3 4]
 [5 6 5 6]]
[[ 1  2  3]
 [ 4  5  6]
 [ 7  8  9]
 [10 11 12]]