Performance insight tools for reinforcement learning frameworks.
Project description
RL-Insight: Provide performance insight capabilities for RL frameworks.
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.
Key Features
- Offline analysis of cluster scheduling timeline based on MSTX,torch profile data collected from verl.
Upcoming Features and Changes
- Q1 Roadmap https://github.com/verl-project/rl-insight/issues/6
- Q2 Roadmap https://github.com/verl-project/rl-insight/issues/49
Getting Started
Quickstart:
Contribution Guide
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