jax.numpy.logaddexp#

jax.numpy.logaddexp=<jnp.ufunc'logaddexp'>#

Computelog(exp(x1)+exp(x2)) avoiding overflow.

JAX implementation ofnumpy.logaddexp

Parameters:

• x1 – input array

• x2 – input array

• args (ArrayLike)

• out (None)

• where (None)

Returns:

array containing the result.

Return type:

Any

Examples:

>>>x1=jnp.array([1,2,3])>>>x2=jnp.array([4,5,6])>>>result1=jnp.logaddexp(x1,x2)>>>result2=jnp.log(jnp.exp(x1)+jnp.exp(x2))>>>print(jnp.allclose(result1,result2))True