Consolidate init_seeds() (ultralytics#4849)

utils/general.py

@@ -29,7 +29,6 @@
 
 from utils.downloads import gsutil_getsize
 from utils.metrics import box_iou, fitness
-from utils.torch_utils import init_torch_seeds
 
 # Settings
 torch.set_printoptions(linewidth=320, precision=5, profile='long')
@@ -91,10 +90,13 @@ def set_logging(rank=-1, verbose=True):
 
 
 def init_seeds(seed=0):
-    # Initialize random number generator (RNG) seeds
+    # 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
     random.seed(seed)
     np.random.seed(seed)
-    init_torch_seeds(seed)
+    torch.manual_seed(seed)
+    cudnn.benchmark, cudnn.deterministic = (False, True) if seed == 0 else (True, False)
 
 
 def get_latest_run(search_dir='.'):

utils/torch_utils.py

@@ -15,7 +15,6 @@
 from pathlib import Path
 
 import torch
-import torch.backends.cudnn as cudnn
 import torch.distributed as dist
 import torch.nn as nn
 import torch.nn.functional as F
@@ -41,15 +40,6 @@ def torch_distributed_zero_first(local_rank: int):
         dist.barrier(device_ids=[0])
 
 
-def init_torch_seeds(seed=0):
-    # Speed-reproducibility tradeoff https://pytorch.org/docs/stable/notes/randomness.html
-    torch.manual_seed(seed)
-    if seed == 0:  # slower, more reproducible
-        cudnn.benchmark, cudnn.deterministic = False, True
-    else:  # faster, less reproducible
-        cudnn.benchmark, cudnn.deterministic = True, False
-
-
 def date_modified(path=__file__):
     # return human-readable file modification date, i.e. '2021-3-26'
     t = datetime.datetime.fromtimestamp(Path(path).stat().st_mtime)