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Fix right conditional to stepping #459

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Jun 21, 2022
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2 changes: 1 addition & 1 deletion examples/by_feature/gradient_accumulation.py
Original file line number Diff line number Diff line change
Expand Up @@ -157,7 +157,7 @@ def training_function(config, args):
# We use the new `no_sync` context manager to prevent gradient averaging
# until we want to at the proper step if we happen to be in a distributed setup
# otherwise it does nothing
if step % gradient_accumulation_steps == 0:
if step % gradient_accumulation_steps != 0:
# Accumulate gradients locally
with accelerator.no_sync(model):
output = model(**batch)
Expand Down