python ,tensorflow 拒绝reshape问题

afc1= tf.reshape(afc1,[1024,-1])，就是reshape 以后如何指导矩阵afc1的列是几个维度。就是-1 具体是多少，怎么取到，代码怎么写。

import tensorflow as tf
from functools import reduce
from operator import mul
afc1= tf.reshape(afc1,[1024,-1])
print(reduce(mul,afc1.get_shape().as_list())/1024)

>>> arr [[10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [11, 12, 13, 14, 15, 16, 17, 18, 19, 20], [12, 13, 14, 15, 16, 17, 18, 19, 20, 21], [13, 14, 15, 16, 17, 18, 19, 20, 21, 22], [14, 15, 16, 17, 18, 19, 20, 21, 22, 23], [15, 16, 17, 18, 19, 20, 21, 22, 23, 24], [16, 17, 18, 19, 20, 21, 22, 23, 24, 25], [17, 18, 19, 20, 21, 22, 23, 24, 25, 26], [18, 19, 20, 21, 22, 23, 24, 25, 26, 27], [19, 20, 21, 22, 23, 24, 25, 26, 27, 28], [20, 21, 22, 23, 24, 25, 26, 27, 28, 29], [21, 22, 23, 24, 25, 26, 27, 28, 29, 30]] >>> l = [x[0] for x in arr] >>> l [10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21] >>>

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