- mars.tensor.exp2(x, out=None, where=None, **kwargs)#
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.
out – Element-wise 2 to the power x.
- Return type
>>> import mars.tensor as mt
>>> mt.exp2([2, 3]).execute() array([ 4., 8.])