- mars.tensor.negative(x, out=None, where=None, **kwargs)#
Numerical negative, element-wise.
x (array_like or scalar) – Input tensor.
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 – For other keyword-only arguments, see the ufunc docs.
y – Returned array or scalar: y = -x.
- Return type
Tensor or scalar
>>> import mars.tensor as mt
>>> mt.negative([1.,-1.]).execute() array([-1., 1.])