mars.tensor.negative#

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

Numerical negative, element-wise.

Parameters

  • 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.

Returns

y – Returned array or scalar: y = -x.

Return type

Tensor or scalar

Examples

>>> import mars.tensor as mt

>>> mt.negative([1.,-1.]).execute()
array([-1.,  1.])