# mars.tensor.true_divide#

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.

Parameters
• 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.

• **kwargs

Returns

out – Result is scalar if both inputs are scalar, tensor otherwise.

Return type

Tensor

Notes

The floor division operator `//` was added in Python 2.2 making `//` and `/` 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.

Examples

```>>> 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])