jax.numpy.nextafter(x1, x2, /)[source]#

Return the next floating-point value after x1 towards x2, element-wise.

LAX-backend implementation of numpy.nextafter().

Note that in some environments flush-denormal-to-zero semantics is used. This means that, around zero, this function returns strictly non-zero values which appear as zero in any operations. Consider this example:

>>> jnp.nextafter(0, 1)  # denormal numbers are representable
Array(1.e-45, dtype=float32, weak_type=True)
>>> jnp.nextafter(0, 1) * 1  # but are flushed to zero
Array(0., dtype=float32, weak_type=True)

For the smallest usable (i.e. normal) float, use tiny of jnp.finfo.

Original docstring below.

  • x1 (array_like) – Values to find the next representable value of.

  • x2 (array_like) – The direction where to look for the next representable value of x1. If x1.shape != x2.shape, they must be broadcastable to a common shape (which becomes the shape of the output).


out – The next representable values of x1 in the direction of x2. This is a scalar if both x1 and x2 are scalars.

Return type:

ndarray or scalar