Calculate element-wise exponential of the input.
JAX implementation of numpy.exp.
x (ArrayLike) – input array or scalar
An array containing the exponential of each element in x, promotes to inexact dtype.
Examples
jnp.exp follows the properties of exponential such as \(e^{(a+b)} = e^a * e^b\).
>>> x1 = jnp.array([2, 4, 3, 1]) >>> x2 = jnp.array([1, 3, 2, 3]) >>> with jnp.printoptions(precision=2, suppress=True): ... print(jnp.exp(x1+x2)) [ 20.09 1096.63 148.41 54.6 ] >>> with jnp.printoptions(precision=2, suppress=True): ... print(jnp.exp(x1)*jnp.exp(x2)) [ 20.09 1096.63 148.41 54.6 ]
This property holds for complex input also:
>>> jnp.allclose(jnp.exp(3-4j), jnp.exp(3)*jnp.exp(-4j)) Array(True, dtype=bool)
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