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jax.numpy.logaddexp2 — JAX documentation

jax.numpy.logaddexp2 = <jnp.ufunc 'logaddexp2'>#

Logarithm of the sum of exponentials of inputs in base-2 avoiding overflow.

JAX implementation of numpy.logaddexp2.

Parameters:

• x1 – input array or scalar.

• x2 – input array or scalar. x1 and x2 should either have same shape or be broadcast compatible.

• args (ArrayLike)

• out (None)

• where (None)

Returns:

An array containing the result, \(log_2(2^{x1}+2^{x2})\), element-wise.

Return type:

Any

Examples

>>> x1 = jnp.array([[3, -1, 4],
...                 [8, 5, -2]])
>>> x2 = jnp.array([2, 3, -5])
>>> result1 = jnp.logaddexp2(x1, x2)
>>> result2 = jnp.log2(jnp.exp2(x1) + jnp.exp2(x2))
>>> jnp.allclose(result1, result2)
Array(True, dtype=bool)

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