mars.tensor.square#

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

Return the element-wise square of the input.

Parameters

  • x (array_like) – Input data.

  • 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 array 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

out – Element-wise x*x, of the same shape and dtype as x. Returns scalar if x is a scalar.

Return type

Tensor

See also

sqrt, power

Examples

>>> import mars.tensor as mt

>>> mt.square([-1j, 1]).execute()
array([-1.-0.j,  1.+0.j])