[2091][performance] Track throughput metrics#2124
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florianscheidl wants to merge 73 commits intoecmwf:developfrom
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[2091][performance] Track throughput metrics#2124florianscheidl wants to merge 73 commits intoecmwf:developfrom
florianscheidl wants to merge 73 commits intoecmwf:developfrom
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ekouts
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…mance-metric-profiling
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Some minor points but essentially ready to be merged
| self.ema_model.update(self.cf.general.istep * batch_size_total, batch_size_total) | ||
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| self.perf_tracker.step( | ||
| batch, |
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For what is batch needed?
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We compute the throughput in MB from the batch.
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Description
Implements optional on-the-fly throughput metrics, logged per training step. The new metrics are named "performance.throughput.*" and track per-device and global throughput in terms of:
In multi-device and multi-node setups, we make an all-reduce call to get the global throughput metrics.
Usage
To activate throughput tracking, add
track_performance_metrics: Truein the training config, undertrain_logging, see the performance_*.yaml configs added here. Run with a base configuration, e.g.:Issue Number
Closes #2091.
Preview:
We investigated the effect of batch sizes on throughput, see https://gitlab.jsc.fz-juelich.de/hedgedoc/SUW6Zq-BR3uYCwU3hmIb6w?both#.
Below are screenshots from MLFlow:
Checklist before asking for review
./scripts/actions.sh lint./scripts/actions.sh unit-test./scripts/actions.sh integration-testlaunch-slurm.py --time 60