Principle:Hpcaitech ColossalAI GRPO Producer Setup
| Knowledge Sources | |
|---|---|
| Domains | Reinforcement_Learning, Distributed_Computing |
| Last Updated | 2026-02-09 00:00 GMT |
Overview
An inference worker pattern that generates multiple responses per prompt using the current policy model and scores them with reward functions to produce training experiences.
Description
The GRPO Producer is an inference worker that runs as a Ray actor. It loads the policy model, generates multiple completions for each prompt (the GRPO "group"), computes rewards using verifiable reward functions, and sends the resulting experiences (input_ids, log_probs, rewards, advantages) to consumer actors for training. Producers periodically receive updated model weights from consumers to stay synchronized.
Usage
Producers are automatically created by launch_distributed(). Configure the number of producers based on available inference GPUs.
Theoretical Basis
GRPO generates G responses per prompt and computes group-relative advantages:
This eliminates the need for a learned value function baseline.