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[air] add pytorch benchmark number (#26719)
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@ -193,7 +193,7 @@ We demonstrate that the performance is similar between the two frameworks.
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- `python workloads/torch_benchmark.py run --num-runs 3 --num-epochs 20 --num-workers 4 --cpus-per-worker 8`
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* - 4 g4dn.12xlarge node (16 workers)
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- FashionMNIST
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- TODO
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- 236.61 s (vs 220.97 s Pytorch)
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- `python workloads/torch_benchmark.py run --num-runs 3 --num-epochs 20 --num-workers 16 --cpus-per-worker 4 --use-gpu`
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