numpy的tile函数是numpy的lib中的shape_base模块中的函数，形式为numpy.tile(A,reps)，主要作用是通过给定的参数reps来控制A重复的次数，返回一个构造完成的数组。

numpy.tile(A, reps)

Construct an array by repeating A the number of times given by reps.

If reps has length d, the result will have dimension of max(d, A.ndim).

If A.ndim < d, A is promoted to be d-dimensional by prepending new axes. So a shape (3,) array is promoted to (1, 3) for 2-D replication, or shape (1, 1, 3) for 3-D replication. If this is not the desired behavior, promote A to d-dimensions manually before calling this function.

If A.ndim > d, reps is promoted to A.ndim by pre-pending 1’s to it. Thus for an A of shape (2, 3, 4, 5), a reps of (2, 2) is treated as (1, 1, 2, 2).

Note : Although tile may be used for broadcasting, it is strongly recommended to use numpy’s broadcasting operations and functions.

Parameters:
A : array_like The input array.

reps : array_like The number of repetitions of A along each axis.

Returns：
c : ndarray The tiled output array.

http://blog.sina.com.cn/s/blog_6bd0612b0101cr3u.html

https://stackoverflow.com/questions/40378427/numpy-formal-definition-of-array-like-objects