mlcommons / mlcommons/training
Gres defaults to 8 regardless of config.sh
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Description
The config has users specify the --gpus-per-node parameter however in the code it defaults to 8. This breaks on newer systems such as GB200 w/ 4 gpu's per node.
Error message is:
sbatch: error: Batch job submission failed: Requested node configuration is not available
I'll create a PR to update.
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Research direction
Start at large_language_model_pretraining/nemo/pretrain_llama31.py around line 78 and inspect how config.sh supplies --gpus-per-node. Reproduce the Slurm submission with a four-GPU-per-node configuration, then verify that Gres uses the configured value instead of defaulting to 8.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Clearly specified
- Newbie friendliness
- 55/100