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cudnn.benchmark = True on Seed 0 #9259

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Sep 2, 2022
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cudnn.benchmark = True on Seed 0 #9259

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122666e
`cudnn.benchmark = True` on Seed 0
glenn-jocher Sep 2, 2022
d0a6635
Update general.py
glenn-jocher Sep 2, 2022
e0a062b
Update general.py
glenn-jocher Sep 2, 2022
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15 changes: 6 additions & 9 deletions utils/general.py
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Expand Up @@ -217,20 +217,17 @@ def print_args(args: Optional[dict] = None, show_file=True, show_func=False):

def init_seeds(seed=0, deterministic=False):
# Initialize random number generator (RNG) seeds https://pytorch.org/docs/stable/notes/randomness.html
# cudnn seed 0 settings are slower and more reproducible, else faster and less reproducible
import torch.backends.cudnn as cudnn

if deterministic and check_version(torch.__version__, '1.12.0'): # https://github.com/ultralytics/yolov5/pull/8213
torch.use_deterministic_algorithms(True)
os.environ['CUBLAS_WORKSPACE_CONFIG'] = ':4096:8'
os.environ['PYTHONHASHSEED'] = str(seed)

random.seed(seed)
np.random.seed(seed)
torch.manual_seed(seed)
cudnn.benchmark, cudnn.deterministic = (False, True) if seed == 0 else (True, False)
torch.cuda.manual_seed(seed)
torch.cuda.manual_seed_all(seed) # for Multi-GPU, exception safe
torch.backends.cudnn.benchmark = True # for faster training
if deterministic and check_version(torch.__version__, '1.12.0'): # https://github.com/ultralytics/yolov5/pull/8213
torch.use_deterministic_algorithms(True)
torch.backends.cudnn.deterministic = True
os.environ['CUBLAS_WORKSPACE_CONFIG'] = ':4096:8'
os.environ['PYTHONHASHSEED'] = str(seed)


def intersect_dicts(da, db, exclude=()):
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