Skip to main content

Performance insight tools for reinforcement learning frameworks.

Project description

RL-Insight: Provide performance insight capabilities for RL frameworks.

Ask DeepWiki.com WIP GitHub Repo stars Twitter Documentation WIP

In RL-Insight, we define a general pipeline for performance insights. A series of capabilities will be built based on this framework. With a well-defined data protocol, these capabilities can generalize across training frameworks.

rl-insight-arch.png

Key Features

  • Offline analysis of cluster scheduling timeline based on MSTX,torch profile data collected from verl.

Upcoming Features and Changes

Getting Started

Documentation

Quickstart:

Contribution Guide

See contributions guide and architecture & guideline

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

rl_insight-0.1.0.tar.gz (6.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

rl_insight-0.1.0-py3-none-any.whl (8.0 kB view details)

Uploaded Python 3

File details

Details for the file rl_insight-0.1.0.tar.gz.

File metadata

  • Download URL: rl_insight-0.1.0.tar.gz
  • Upload date:
  • Size: 6.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.13

File hashes

Hashes for rl_insight-0.1.0.tar.gz
Algorithm Hash digest
SHA256 5ce73c88da81eeb74bd0b28f7897777674449973cbc76b23e540005cd8182e47
MD5 b66aef1525538cbd3ea6e3a2bfffb93f
BLAKE2b-256 c329b44bbe7ef54d3a117093a422fa647aca4aa9634422cb5650275ca87edc8f

See more details on using hashes here.

File details

Details for the file rl_insight-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: rl_insight-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 8.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.13

File hashes

Hashes for rl_insight-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 d5c24cff486f0f74cd89799eb42652cdb4e1d0300a370be030b1eb390caab844
MD5 df2231a5223dccab34f96c005bc9d4a9
BLAKE2b-256 643d3b4571623df148a94a9d9e4447c8451472cb4182b3495242edb6f35f6c53

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page