jax.numpy.fabs

jax.numpy.fabs(x)

Compute the absolute values element-wise.

LAX-backend implementation of fabs(). Original docstring below.

fabs(x, /, out=None, *, where=True, casting=’same_kind’, order=’K’, dtype=None, subok=True[, signature, extobj])

This function returns the absolute values (positive magnitude) of the data in x. Complex values are not handled, use absolute to find the absolute values of complex data.

Parameters

x (array_like) – The array of numbers for which the absolute values are required. If x is a scalar, the result y will also be a scalar.

Returns

y – The absolute values of x, the returned values are always floats. This is a scalar if x is a scalar.

Return type

ndarray or scalar

See also

absolute()

Absolute values including complex types.

Examples

>>> np.fabs(-1)
1.0
>>> np.fabs([-1.2, 1.2])
array([ 1.2,  1.2])