diffuser.T is being ignored

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#263 2 comments 1 reaction 0 assignees View on GitHub

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Assessment

Difficulty
4/5
Estimated time
3-5 days
Newbie friendliness
35/100
Issue type
Bug
Clarity
Mostly clear
Activity status
Stale
Tech stack
python
Domain
machine-learning

Research direction

Start by tracing where diffuser.T and inference.final_step are read during an RFdiffusion run, then compare that path with the fixed 50-timestep behavior described here. Determine whether T is training-fixed or should affect inference; done means the configuration behavior is correct and clearly documented or the ignored parameter is addressed.

Written by the indexing model from the issue text.

Description

I've been trying to change the total number of timesteps of my RFDiffusion runs and I noticed that changing diffuser.T in the config file has absolutely no impact on the actual run. It's always using 50 timesteps and I only have the ability to stop earlier with inference.final_step. Is that expected behaviour? Is the diffuser.T fixed at training time? If that's the case, why is it listed as a parameter in the config file?

Dominant language
Python
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