mars.tensor.log2#

mars.tensor.log2(x, out=None, where=None, **kwargs)[source]#

Base-2 logarithm of x.

Parameters

  • 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 –

Returns

y – Base-2 logarithm of x.

Return type

Tensor

See also

log, log10, log1p, Logarithm, number, whose, pi, For, None, For, it, For, None, has, 0, handles, number, conforming

Examples

>>> import mars.tensor as mt

>>> x = mt.array([0, 1, 2, 2**4])
>>> mt.log2(x).execute()
array([-Inf,   0.,   1.,   4.])

>>> xi = mt.array([0+1.j, 1, 2+0.j, 4.j])
>>> mt.log2(xi).execute()
array([ 0.+2.26618007j,  0.+0.j        ,  1.+0.j        ,  2.+2.26618007j])