A decentralized and distributed horizontally scalable model execution framework.
Project description
scattermind
Scattermind is a decentralized and distributed horizontally scalable model execution framework. Worried your model won't fit in memory? Scattermind splits the model into small independently executable sub-models to accomodate even small machines (*).
(*) Currently only available through plugins. Once the plugins have matured they will be included in the main distribution.
TODOs
A rough outline of planned features:
- node based caching
- record / replay inputs
- record / replay activity
- log granular activity
- split nodes
- benchmark
- diffusion model
- push notification on result
- computation timing estimates
- self configuration
- config hotloading
- model training
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
scattermind-0.4.0.tar.gz
(121.9 kB
view hashes)
Built Distribution
scattermind-0.4.0-py3-none-any.whl
(173.4 kB
view hashes)
Close
Hashes for scattermind-0.4.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4f8e40e798d32e5744805b46923daa955333cc858d0fdf7606a3831c4ce550b4 |
|
MD5 | b3a153ea1ab51dca2afbafc1008c105d |
|
BLAKE2b-256 | c293fa25b94d197c7f5be25439fadfb31c2d8d9f9d5ebb1304e481c40c5e3e03 |