serialization

[Deprecated in favour of the '.serial' argument to <code>everywhere</code>]
 Registers custom serialization and unserialization functions for
 reference objects. Settings apply only to the &#8216;default&#8217; compute
 profile, and daemons must have been set beforehand.

internal

Designed for simplicity, a 'mirai' evaluates an R expression
asynchronously in a parallel process, locally or distributed over the
network, with the result automatically available upon completion. Modern
networking and concurrency built on 'nanonext' and 'NNG' (Nanomsg Next Gen)
ensure reliable and efficient scheduling, over fast inter-process
communications or TCP/IP secured by TLS. Advantages include being inherently
queued thus handling many more tasks than available processes, no storage on
the file system, support for otherwise non-exportable reference objects, an
event-driven promises implementation, and built-in asynchronous parallel
map.

Charlie Gao

mirai

Minimalist Async Evaluation Framework for R

Joe Cheng

Hibiki AI Limited 

serialization function

<dl><dt>fns</dt>
<dd>either a list comprising 2 functions: serialization
function: must accept a reference object (or list of objects) inheriting
from &#8216;class&#8217; and return a raw vector. unserialization function:
must accept a raw vector and return a reference object (or list of
reference objects). or else NULL to reset.</dd>
<dt>class</dt>
<dd>character string of the class of object custom serialization
functions are applied to, e.g. &#8216;ArrowTabular&#8217; or
&#8216;torch_tensor&#8217;.</dd>
<dt>vec</dt>
<dd>[default FALSE] whether or not the serialization functions are
vectorized. If FALSE, they should accept and return reference objects
individually e.g. <code>arrow::write_to_raw</code> and
<code>arrow::read_ipc_stream</code>. If TRUE, they should accept and return a
list of reference objects, e.g. <code>torch::torch_serialize</code> and
<code>torch::torch_load</code>.</dd></dl>

Arguments

Custom Serialization Functions — serialization

<dl>

<dt>fns</dt>
<dd>either a list comprising 2 functions: serialization
function: must accept a reference object (or list of objects) inheriting
from &#8216;class&#8217; and return a raw vector. unserialization function:
must accept a raw vector and return a reference object (or list of
reference objects). or else NULL to reset.</dd>


<dt>class</dt>
<dd>character string of the class of object custom serialization
functions are applied to, e.g. &#8216;ArrowTabular&#8217; or
&#8216;torch_tensor&#8217;.</dd>


<dt>vec</dt>
<dd>[default FALSE] whether or not the serialization functions are
vectorized. If FALSE, they should accept and return reference objects
individually e.g. <code>arrow::write_to_raw</code> and
<code>arrow::read_ipc_stream</code>. If TRUE, they should accept and return a
list of reference objects, e.g. <code>torch::torch_serialize</code> and
<code>torch::torch_load</code>.</dd>

</dl>

serialization: Custom Serialization Functions

Description

Usage

Value

Arguments