jax.numpy.swapaxes

jax.numpy.swapaxes(a, axis1, axis2)

Swap two axes of an array.

JAX implementation of numpy.swapaxes(), implemented in terms of jax.lax.transpose().

Parameters:

• a (ArrayLike) – input array

• axis1 (int) – index of first axis

• axis2 (int) – index of second axis

Returns:

Copy of a with specified axes swapped.

Return type:

Array

Notes

Unlike numpy.swapaxes(), jax.numpy.swapaxes() will return a copy rather than a view of the input array. However, under JIT, the compiler will optimize away such copies when possible, so this doesn’t have performance impacts in practice.

See also

• jax.numpy.moveaxis(): move a single axis of an array.

• jax.numpy.rollaxis(): older API for moveaxis.

• jax.lax.transpose(): more general axes permutations.

• jax.Array.swapaxes(): same functionality via an array method.

Examples

>>> a = jnp.ones((2, 3, 4, 5))
>>> jnp.swapaxes(a, 1, 3).shape
(2, 5, 4, 3)

Equivalent output via the swapaxes array method:

>>> a.swapaxes(1, 3).shape
(2, 5, 4, 3)

Equivalent output via transpose():

>>> a.transpose(0, 3, 2, 1).shape
(2, 5, 4, 3)