mars.tensor.modf(x, out1=None, out2=None, out=None, where=None, **kwargs)[source]#

Return the fractional and integral parts of a tensor, element-wise.

The fractional and integral parts are negative if the given number is negative.

  • x (array_like) – Input tensor.

  • 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


  • y1 (Tensor) – Fractional part of x.

  • y2 (Tensor) – Integral part of x.


For integer input the return values are floats.

See also


divmod(x, 1) is equivalent to modf with the return values switched, except it always has a positive remainder.


>>> import mars.tensor as mt
>>> mt.modf([0, 3.5]).execute()
(array([ 0. ,  0.5]), array([ 0.,  3.]))
>>> mt.modf(-0.5).execute()
(-0.5, -0)