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

Return the cube-root of an tensor, element-wise.

  • x (array_like) – The values whose cube-roots are required.

  • 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 – An tensor of the same shape as x, containing the cube cube-root of each element in x. If out was provided, y is a reference to it.

Return type



>>> import mars.tensor as mt
>>> mt.cbrt([1,8,27]).execute()
array([ 1.,  2.,  3.])