random_varname

Helper function to generate random variable name for gradient input in
formula

internal

The 'KeOps' library lets you compute generic reductions of
very large arrays whose entries are given by a mathematical formula
with CPU and GPU computing support. It combines a tiled reduction
scheme with an automatic differentiation engine. It is perfectly
suited to the efficient computation of Kernel dot products and the
associated gradients, even when the full kernel matrix does not fit
into the GPU memory.

Ghislain Durif

rkeops

Kernel Operations on GPU or CPU, with Autodiff, without Memory
Overflows

Amelie Vernay

Chloe Serre-Combe

Benjamin Charlier

Jean Feydy

Joan A. Glaunès

François-David Collin

random_varname function

<dl><dt>prefix</dt>
<dd>character string, prefix to add to the variable name.</dd>
<dt>len</dt>
<dd>integer, number of random character in the variable name.</dd></dl>

Arguments

Helper function to generate random variable name for gradient input in
formula — random_varname

<dl>

<dt>prefix</dt>
<dd>character string, prefix to add to the variable name.</dd>


<dt>len</dt>
<dd>integer, number of random character in the variable name.</dd>

</dl>

random_varname: Helper function to generate random variable name for gradient input in formula

Description

Usage

Value

Arguments