maxframe.tensor.true_divide

maxframe.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 maxframe.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])