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 : Tensor
- Result is scalar if both inputs are scalar, tensor otherwise.
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])