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Fix the throughput calculation

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This commit is contained in:
Angelos Katharopoulos 2025-02-25 17:20:15 -08:00
parent 8a76b421a0
commit 14faec4ca2
1 changed files with 5 additions and 2 deletions
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7
cifar/main.py
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@ -81,7 +81,10 @@ def train_epoch(model, train_iter, optimizer, epoch):
samples_per_sec += x.shape[0] / (toc - tic) samples_per_sec += x.shape[0] / (toc - tic)
count += 1 count += 1
if batch_counter % 10 == 0: if batch_counter % 10 == 0:
l, a, s = average_stats([losses, accuracies, samples_per_sec], count) l, a, s = average_stats(
[losses, accuracies, world.size() * samples_per_sec],
count,
)
print_zero( print_zero(
world, world,
" | ".join( " | ".join(
@ -94,7 +97,7 @@ def train_epoch(model, train_iter, optimizer, epoch):
), ),
) )
return average_stats([losses, accuracies, samples_per_sec], count) return average_stats([losses, accuracies, world.size() * samples_per_sec], count)
def test_epoch(model, test_iter, epoch): def test_epoch(model, test_iter, epoch):