jax.numpy.negative#

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

Return element-wise negative values of the input.

JAX implementation ofnumpy.negative.

Parameters:

• x – input array or scalar.

• args (ArrayLike)

• out (None)

• where (None)

Returns:

An array with same shape and dtype asx 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 overunsignedinteger, produces the resultof their two’s complement negation, which typically results in unexpectedlarge 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)>>>x2Array([         5,          0, 4294967289], dtype=uint32)>>>jnp.negative(x2)Array([4294967291,          0,          7], dtype=uint32)