cudnn.benchmark = True on Seed 0 (#9259)

* `cudnn.benchmark = True` on Seed 0

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* Update general.py

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* Update general.py

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

utils/general.py

@@ -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=()):