jax.numpy.tile#

jax.numpy.tile(A, reps)[source]#

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

LAX-backend implementation of numpy.tile().

Original docstring below.

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 – The tiled output array.

Return type:

ndarray