mars.tensor.logical_not(x, out=None, where=None, **kwargs)[source]#

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.

Return type

bool or Tensor of bool


>>> import mars.tensor as mt
>>> mt.logical_not(3).execute()
>>> 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])