Construct an array by repeating A
along specified dimensions.
JAX implementation of numpy.tile()
.
If A
is an array of shape (d1, d2, ..., dn)
and reps
is a sequence of integers, the resulting array will have a shape of (reps[0] * d1, reps[1] * d2, ..., reps[n] * dn)
, with A
tiled along each dimension.
A (ArrayLike) – input array to be repeated. Can be of any shape or dimension.
reps (DimSize | Sequence[DimSize]) – specifies the number of repetitions along each axis.
a new array where the input array has been repeated according to reps
.
Examples
>>> arr = jnp.array([1, 2]) >>> jnp.tile(arr, 2) Array([1, 2, 1, 2], dtype=int32) >>> arr = jnp.array([[1, 2], ... [3, 4,]]) >>> jnp.tile(arr, (2, 1)) Array([[1, 2], [3, 4], [1, 2], [3, 4]], dtype=int32)
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