jax.scipy.special.xlog1py

jax.scipy.special.xlog1py = <jax._src.custom_derivatives.custom_jvp object>

Compute x*log(1 + y), returning 0 for x=0.

JAX implementation of scipy.special.xlog1py.

This is defined to return 0 when \((x, y) = (0, -1)\), with a custom derivative rule so that automatic differentiation is well-defined at this point.

Parameters:

• x (ArrayLike) – arraylike, real-valued.

• y (ArrayLike) – arraylike, real-valued.

Returns:

array containing xlog1py values.

Return type:

Array

See also

jax.scipy.special.xlogy()