jax.numpy.array_split

jax.numpy.array_split(ary, indices_or_sections, axis=0)

Split an array into sub-arrays.

JAX implementation of numpy.array_split().

Refer to the documentation of jax.numpy.split() for details; array_split is equivalent to split, but allows integer indices_or_sections which does not evenly divide the split axis.

Examples

>>> x = jnp.array([1, 2, 3, 4, 5, 6, 7, 8, 9])
>>> chunks = jnp.array_split(x, 4)
>>> print(*chunks)
[1 2 3] [4 5] [6 7] [8 9]

See also

• jax.numpy.split(): split an array along any axis.

• jax.numpy.vsplit(): split vertically, i.e. along axis=0

• jax.numpy.hsplit(): split horizontally, i.e. along axis=1

• jax.numpy.dsplit(): split depth-wise, i.e. along axis=2

Parameters:

• ary (ArrayLike)

• indices_or_sections (int | Sequence[int] | ArrayLike)

• axis (int)

Return type:

list[Array]