- mars.tensor.true_divide(x1, x2, out=None, where=None, **kwargs)#
Returns a true division of the inputs, element-wise.
Instead of the Python traditional ‘floor division’, this returns a true division. True division adjusts the output type to present the best answer, regardless of input types.
x1 (array_like) – Dividend tensor.
x2 (array_like) – Divisor 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.
out – Result is scalar if both inputs are scalar, tensor otherwise.
- Return type
The floor division operator
//was added in Python 2.2 making
/equivalent operators. The default floor division operation of
/can be replaced by true division with
from __future__ import division.
In Python 3.0,
//is the floor division operator and
/the true division operator. The
true_divide(x1, x2)function is equivalent to true division in Python.
>>> import mars.tensor as mt
>>> x = mt.arange(5) >>> mt.true_divide(x, 4).execute() array([ 0. , 0.25, 0.5 , 0.75, 1. ])
# for python 2 >>> (x/4).execute() array([0, 0, 0, 0, 1]) >>> (x//4).execute() array([0, 0, 0, 0, 1])