Calculate element-wise natural logarithm of the input.
JAX implementation of numpy.log.
x (ArrayLike) – input array or scalar.
An array containing the logarithm of each element in x, promotes to inexact dtype.
Examples
jnp.log and jnp.exp are inverse functions of each other. Applying jnp.log on the result of jnp.exp(x) yields the original input x.
>>> x = jnp.array([2, 3, 4, 5]) >>> jnp.log(jnp.exp(x)) Array([2., 3., 4., 5.], dtype=float32)
Using jnp.log we can demonstrate well-known properties of logarithms, such as \(log(a*b) = log(a)+log(b)\).
>>> x1 = jnp.array([2, 1, 3, 1]) >>> x2 = jnp.array([1, 3, 2, 4]) >>> jnp.allclose(jnp.log(x1*x2), jnp.log(x1)+jnp.log(x2)) Array(True, dtype=bool)
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