jax.numpy.negative

jax.numpy.negative = <jnp.ufunc 'negative'>

Return element-wise negative values of the input.

JAX implementation of numpy.negative.

Parameters:

• x – input array or scalar.

• args (ArrayLike)

• out (None)

• where (None)

Returns:

An array with same shape and dtype as x containing -x.

Return type:

Any

See also

• jax.numpy.positive(): Returns element-wise positive values of the input.

• jax.numpy.sign(): Returns element-wise indication of sign of the input.

Note

jnp.negative, when applied over unsigned integer, produces the result of their two’s complement negation, which typically results in unexpected large positive values due to integer underflow.

Examples

For real-valued inputs:

>>> x = jnp.array([0., -3., 7])
>>> jnp.negative(x)
Array([-0.,  3., -7.], dtype=float32)

For complex inputs:

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

For unit32:

>>> x2 = jnp.array([5, 0, -7]).astype(jnp.uint32)
>>> x2
Array([         5,          0, 4294967289], dtype=uint32)
>>> jnp.negative(x2)
Array([4294967291,          0,          7], dtype=uint32)