mars.tensor.
logical_not
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.
**kwargs –
y – Boolean result with the same shape as x of the NOT operation on elements of x.
bool or Tensor of bool
参见
logical_and, logical_or, logical_xor
logical_and
logical_or
logical_xor
实际案例
>>> 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])