Return element-wise positive values of the input.
JAX implementation of numpy.positive
.
x (ArrayLike) – input array or scalar
An array of same shape and dtype as x
containing +x
.
Note
jnp.positive
is equivalent to x.copy()
and is defined only for the types that support arithmetic operations.
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)
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