Skip to content

fix imagenet nondeterminism when seed is set (#1056) #1057

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Sep 14, 2022
Merged

fix imagenet nondeterminism when seed is set (#1056) #1057

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion imagenet/main.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -88,6 +88,7 @@ def main():
random.seed(args.seed)
torch.manual_seed(args.seed)
cudnn.deterministic = True
cudnn.benchmark = False
warnings.warn('You have chosen to seed training. '
'This will turn on the CUDNN deterministic setting, '
'which can slow down your training considerably! '
Expand Down Expand Up @@ -204,7 +205,6 @@ def main_worker(gpu, ngpus_per_node, args):
else:
print("=> no checkpoint found at '{}'".format(args.resume))

cudnn.benchmark = True

# Data loading code
if args.dummy:
Expand Down