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Question in torch_utils.py #18

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VvvvvGH opened this issue Jun 5, 2020 · 1 comment
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Question in torch_utils.py #18

VvvvvGH opened this issue Jun 5, 2020 · 1 comment

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@VvvvvGH
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VvvvvGH commented Jun 5, 2020

I found something wired when I am looking at torch_utils.py.
If you want to reduce randomness, shouldn't do as pytorch document suggested to set torch.backends.cudnn.deterministic = True and
torch.backends.cudnn.benchmark = False ?

def init_seeds(seed=0):
torch.manual_seed(seed)
# Reduce randomness (may be slower on Tesla GPUs) # https://pytorch.org/docs/stable/notes/randomness.html
if seed == 0:
cudnn.deterministic = False
cudnn.benchmark = True

@glenn-jocher
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@VvvvvGH yes you are correct. The comment is incorrect, the settings are coded for the fastest training.

GiuliaCiaramella pushed a commit to GiuliaCiaramella/yolov5 that referenced this issue Apr 14, 2021
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manole-alexandru added a commit to manole-alexandru/yolov5-uolo that referenced this issue Apr 20, 2023
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