jax.numpy.positive#

jax.numpy.positive(x, /)[source]#

Return element-wise positive values of the input.

JAX implementation of numpy.positive.

Parameters:

x (ArrayLike) – input array or scalar

Returns:

An array of same shape and dtype as x containing +x.

Return type:

Array

Note

jnp.positive is equivalent to x.copy() and is defined only for the types that support arithmetic operations.

See also

Examples

For real-valued inputs:

>>> x = jnp.array([-5, 4, 7., -9.5])
>>> jnp.positive(x)
Array([-5. ,  4. ,  7. , -9.5], dtype=float32)
>>> x.copy()
Array([-5. ,  4. ,  7. , -9.5], dtype=float32)

For complex inputs:

>>> x1 = jnp.array([1-2j, -3+4j, 5-6j])
>>> jnp.positive(x1)
Array([ 1.-2.j, -3.+4.j,  5.-6.j], dtype=complex64)
>>> x1.copy()
Array([ 1.-2.j, -3.+4.j,  5.-6.j], dtype=complex64)

For uint32:

>>> x2 = jnp.array([6, 0, -4]).astype(jnp.uint32)
>>> x2
Array([         6,          0, 4294967292], dtype=uint32)
>>> jnp.positive(x2)
Array([         6,          0, 4294967292], dtype=uint32)