- mars.tensor.frexp(x, out1=None, out2=None, out=None, where=None, **kwargs)#
Decompose the elements of x into mantissa and twos exponent.
Returns (mantissa, exponent), where x = mantissa * 2**exponent`. The mantissa is lies in the open interval(-1, 1), while the twos exponent is a signed integer.
x (array_like) – Tensor of numbers to be decomposed.
out1 (Tensor, optional) – Output tensor for the mantissa. Must have the same shape as x.
out2 (Tensor, optional) – Output tensor for the exponent. Must have the same shape as x.
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.
(mantissa, exponent) – mantissa is a float array with values between -1 and 1. exponent is an int array which represents the exponent of 2.
- Return type
y = x1 * 2**x2, the inverse of frexp.
Complex dtypes are not supported, they will raise a TypeError.
>>> import mars.tensor as mt
>>> x = mt.arange(9) >>> y1, y2 = mt.frexp(x)
>>> y1_result, y2_result = mt.ExecutableTuple([y1, y2]).execute() >>> y1_result array([ 0. , 0.5 , 0.5 , 0.75 , 0.5 , 0.625, 0.75 , 0.875, 0.5 ]) >>> y2_result array([0, 1, 2, 2, 3, 3, 3, 3, 4]) >>> (y1 * 2**y2).execute() array([ 0., 1., 2., 3., 4., 5., 6., 7., 8.])