Return the sign bit of array elements.
JAX implementation of numpy.signbit.
x (ArrayLike) – input array. Complex values are not supported.
A boolean array of the same shape as x, containing True where the sign of x is negative, and False otherwise.
See also
jax.numpy.sign(): return the mathematical sign of array elements, i.e. -1, 0, or +1.
Examples
signbit() on boolean values is always False:
>>> x = jnp.array([True, False]) >>> jnp.signbit(x) Array([False, False], dtype=bool)
signbit() on integer values is equivalent to x < 0:
>>> x = jnp.array([-2, -1, 0, 1, 2]) >>> jnp.signbit(x) Array([ True, True, False, False, False], dtype=bool)
signbit() on floating point values returns the value of the actual sign bit from the float representation, including signed zero:
>>> x = jnp.array([-1.5, -0.0, 0.0, 1.5]) >>> jnp.signbit(x) Array([ True, True, False, False], dtype=bool)
This also returns the sign bit for special values such as signed NaN and signed infinity:
>>> x = jnp.array([jnp.nan, -jnp.nan, jnp.inf, -jnp.inf]) >>> jnp.signbit(x) Array([False, True, False, True], dtype=bool)
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