jax.numpy.any#
- jax.numpy.any(a, axis=None, out=None, keepdims=False, *, where=None)[source]#
Test whether any array element along a given axis evaluates to True.
LAX-backend implementation of
numpy.any().Original docstring below.
Returns single boolean if axis is
None- Parameters:
a (array_like) – Input array or object that can be converted to an array.
axis (None or int or tuple of ints, optional) – Axis or axes along which a logical OR reduction is performed. The default (
axis=None) is to perform a logical OR over all the dimensions of the input array. axis may be negative, in which case it counts from the last to the first axis.keepdims (bool, optional) –
If this is set to True, the axes which are reduced are left in the result as dimensions with size one. With this option, the result will broadcast correctly against the input array.
If the default value is passed, then keepdims will not be passed through to the any method of sub-classes of ndarray, however any non-default value will be. If the sub-class’ method does not implement keepdims any exceptions will be raised.
where (array_like of bool, optional) – Elements to include in checking for any True values. See ~numpy.ufunc.reduce for details.
out (None)
- Returns:
any – A new boolean or ndarray is returned unless out is specified, in which case a reference to out is returned.
- Return type:
bool or ndarray