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Fix random seed bug of DDP in the ImageNet example #825

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Fix random seed bug of DDP in the ImageNet example #825

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8 changes: 5 additions & 3 deletions imagenet/main.py
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Original file line number Diff line number Diff line change
Expand Up @@ -81,9 +81,6 @@ def main():
args = parser.parse_args()

if args.seed is not None:
random.seed(args.seed)
torch.manual_seed(args.seed)
cudnn.deterministic = True
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 @@ -115,6 +112,11 @@ def main():
def main_worker(gpu, ngpus_per_node, args):
global best_acc1
args.gpu = gpu

if args.seed is not None:
random.seed(args.seed)
torch.manual_seed(args.seed)
cudnn.deterministic = True

if args.gpu is not None:
print("Use GPU: {} for training".format(args.gpu))
Expand Down