flopscope.numpy.reciprocal

fnp.reciprocal(*args, **kwargs)[flopscope source][numpy source]

Return the reciprocal of the argument, element-wise.

Adapted from NumPy docs np.reciprocal

Areacore

Typecounted

Cost

\text{numel}(\text{output})

Flopscope Context

Element-wise 1/x.

Calculates 1/x.

Parameters

x:array_like: Input array.
out:ndarray, None, or tuple of ndarray 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 array is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.
where:array_like, optional: This condition is broadcast over the input. At locations where the condition is True, the out array will be set to the ufunc result. Elsewhere, the out array will retain its original value. Note that if an uninitialized out array is created via the default out=None, locations within it where the condition is False will remain uninitialized.
**kwargs: For other keyword-only arguments, see the ufunc docs.

Returns

y:ndarray: Return array. This is a scalar if x is a scalar.

Notes

Note.

This function is not designed to work with integers.

For integer arguments with absolute value larger than 1 the result is always zero because of the way Python handles integer division. For integer zero the result is an overflow.

Examples

>>> import flopscope.numpy as fnp
>>> flops.reciprocal(2.)
0.5
>>> flops.reciprocal([1, 2., 3.33])
array([ 1.       ,  0.5      ,  0.3003003])