# mars.tensor.absolute#

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

Calculate the absolute value element-wise.

Parameters
• x (array_like) – 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

Returns

absolute – An tensor containing the absolute value of each element in x. For complex input, a + ib, the absolute value is $$\sqrt{ a^2 + b^2 }$$.

Return type

Tensor

Examples

>>> import mars.tensor as mt

>>> x = mt.array([-1.2, 1.2])
>>> mt.absolute(x).execute()
array([ 1.2,  1.2])
>>> mt.absolute(1.2 + 1j).execute()
1.5620499351813308