TypeError: must be real number, not NoneType when running Fully Asynchronous Rollout Example
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Description
Description
While launching the official Fully Asynchronous Rollout Example (examples/fully_async/run-qwen3-4b-fully_async.sh), the script crashes inside the Ray actor RolloutManager.generate().
The list raw_rewards contains None values, so the line
rewards = torch.tensor(raw_rewards, dtype=torch.float)
raises
TypeError: must be real number, not NoneType.
Full traceback and training logs are attached below.
Questions
What is the recommended upstream fix or configuration change?
Thanks!
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Research direction
Start by reproducing the failure with examples/fully_async/run-qwen3-4b-fully_async.sh and trace the Ray actor entry point RolloutManager.generate(), using the attached traceback and logs. Determine why raw_rewards contains None before the torch.tensor conversion; done means the official example completes with a documented upstream fix or configuration change.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- distributed-systems, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100