- mars.tensor.logical_not(x, out=None, where=None, **kwargs)#
Compute the truth value of NOT x element-wise.
x (array_like) – Logical NOT is applied to the elements of x.
out (Tensor, None, or tuple of Tensor and None, optional) – A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated tensor is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.
where (array_like, optional) – Values of True indicate to calculate the ufunc at that position, values of False indicate to leave the value in the output alone.
y – Boolean result with the same shape as x of the NOT operation on elements of x.
- Return type
bool or Tensor of bool
>>> import mars.tensor as mt
>>> mt.logical_not(3).execute() False >>> mt.logical_not([True, False, 0, 1]).execute() array([False, True, True, False])
>>> x = mt.arange(5) >>> mt.logical_not(x<3).execute() array([False, False, False, True, True])