MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvements in both training algorithms and models.
Sample held out workloads to scoring/held_out_workloads_algoperf_v05.json.
Target fixes for wmt variants.
Update bsz for imagenet gelu and silu variants in baseline and target setting algorithms.
Sample held out workloads to scoring/held_out_workloads_algoperf_v05.json. Target fixes for wmt variants. Update bsz for imagenet gelu and silu variants in baseline and target setting algorithms.