RosettaCommons / RosettaCommons/RFdiffusion
about cuda out of memery issue
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Description
im doing binder design on A100 with "
python /dssg/home/acct-clswg/clswg/apps/RFdiffusion/scripts/run_inference.py
inference.output_prefix=example_outputs/design_ppi
inference.input_pdb=input.pdb
'contigmap.contigs=[A414-588/0 20-50]'
inference.num_designs=10000
denoiser.noise_scale_ca=0.5
denoiser.noise_scale_frame=0.5"
but always get cuda out of memory after maybe 10 or 20 designs
the input pdb is about 300aa long
is the length of my binder proper or can anything else trigger such issue?
i doubt A100 would go out of memory on this case
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- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
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Research direction
Start with the command and entry point in /dssg/home/acct-clswg/clswg/apps/RFdiffusion/scripts/run_inference.py, then reproduce the run using the 300aa input PDB and the stated A100 settings. Track memory as designs progress and compare the behavior after 10–20 designs. Done means identifying whether the input length or another setting causes the out-of-memory failure, with a reproducible explanation or workaround.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100