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:
Note
jnp.positive
is equivalent tox.copy()
and is defined only for the types that support arithmetic operations.See also
jax.numpy.negative()
: Returns element-wise negative values of the input.jax.numpy.sign()
: Returns element-wise indication of sign of the input.
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)