jax.numpy.divideÂ¶

jax.numpy.divide(x1, x2)Â¶

Returns a true division of the inputs, element-wise.

LAX-backend implementation of true_divide(). Original docstring below.

true_divide(x1, x2, /, out=None, *, where=True, casting=â€™same_kindâ€™, order=â€™Kâ€™, dtype=None, subok=True[, signature, extobj])

Instead of the Python traditional â€˜floor divisionâ€™, this returns a true division. True division adjusts the output type to present the best answer, regardless of input types.

Parameters
• x1 (array_like) â€“ Dividend array.

• x2 (array_like) â€“ Divisor array. If x1.shape != x2.shape, they must be broadcastable to a common shape (which becomes the shape of the output).

Returns

out â€“ This is a scalar if both x1 and x2 are scalars.

Return type

ndarray or scalar

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

>>> x = np.arange(5)
>>> np.true_divide(x, 4)
array([ 0.  ,  0.25,  0.5 ,  0.75,  1.  ])

>>> x//4
array([0, 0, 0, 0, 1])

>>> from __future__ import division
>>> x/4
array([ 0.  ,  0.25,  0.5 ,  0.75,  1.  ])
>>> x//4
array([0, 0, 0, 0, 1])