mars.tensor.exp2(x, out=None, where=None, **kwargs)[source]#

Calculate 2**p for all p in the input tensor.

  • x (array_like) – Input values.

  • 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


out – Element-wise 2 to the power x.

Return type


See also



>>> import mars.tensor as mt
>>> mt.exp2([2, 3]).execute()
array([ 4.,  8.])