AutoBatch cudnn.benchmark=True fix (#9448)

* AutoBatch `cudnn.benchmark=True` fix

May resolve https://github.com/ultralytics/yolov5/issues/9287

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

* Update autobatch.py

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

* Update autobatch.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

@@ -223,7 +223,7 @@ def init_seeds(seed=0, deterministic=False):
     torch.manual_seed(seed)
     torch.cuda.manual_seed(seed)
     torch.cuda.manual_seed_all(seed)  # for Multi-GPU, exception safe
-    torch.backends.cudnn.benchmark = True  # for faster training
+    # torch.backends.cudnn.benchmark = True  # AutoBatch problem https://github.com/ultralytics/yolov5/issues/9287
     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