New ASSETS and trackers GMC cleanup (#4425)

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

ultralytics/utils/torch_utils.py

@@ -239,16 +239,18 @@ def get_flops(model, imgsz=640):
 
 def get_flops_with_torch_profiler(model, imgsz=640):
     """Compute model FLOPs (thop alternative)."""
-    model = de_parallel(model)
-    p = next(model.parameters())
-    stride = (max(int(model.stride.max()), 32) if hasattr(model, 'stride') else 32) * 2  # max stride
-    im = torch.zeros((1, p.shape[1], stride, stride), device=p.device)  # input image in BCHW format
-    with torch.profiler.profile(with_flops=True) as prof:
-        model(im)
-    flops = sum(x.flops for x in prof.key_averages()) / 1E9
-    imgsz = imgsz if isinstance(imgsz, list) else [imgsz, imgsz]  # expand if int/float
-    flops = flops * imgsz[0] / stride * imgsz[1] / stride  # 640x640 GFLOPs
-    return flops
+    if TORCH_2_0:
+        model = de_parallel(model)
+        p = next(model.parameters())
+        stride = (max(int(model.stride.max()), 32) if hasattr(model, 'stride') else 32) * 2  # max stride
+        im = torch.zeros((1, p.shape[1], stride, stride), device=p.device)  # input image in BCHW format
+        with torch.profiler.profile(with_flops=True) as prof:
+            model(im)
+        flops = sum(x.flops for x in prof.key_averages()) / 1E9
+        imgsz = imgsz if isinstance(imgsz, list) else [imgsz, imgsz]  # expand if int/float
+        flops = flops * imgsz[0] / stride * imgsz[1] / stride  # 640x640 GFLOPs
+        return flops
+    return 0
 
 
 def initialize_weights(model):
@@ -384,11 +386,14 @@ def strip_optimizer(f: Union[str, Path] = 'best.pt', s: str = '') -> None:
     Returns:
         None
 
-    Usage:
+    Example:
+        ```python
         from pathlib import Path
         from ultralytics.utils.torch_utils import strip_optimizer
-        for f in Path('/Users/glennjocher/Downloads/weights').rglob('*.pt'):
+
+        for f in Path('path/to/weights').rglob('*.pt'):
             strip_optimizer(f)
+        ```
     """
     # Use dill (if exists) to serialize the lambda functions where pickle does not do this
     try:
@@ -421,13 +426,17 @@ def strip_optimizer(f: Union[str, Path] = 'best.pt', s: str = '') -> None:
 
 def profile(input, ops, n=10, device=None):
     """
-    YOLOv8 speed/memory/FLOPs profiler
+    Ultralytics speed, memory and FLOPs profiler.
+
+    Example:
+        ```python
+        from ultralytics.utils.torch_utils import profile
 
-    Usage:
         input = torch.randn(16, 3, 640, 640)
         m1 = lambda x: x * torch.sigmoid(x)
         m2 = nn.SiLU()
         profile(input, [m1, m2], n=100)  # profile over 100 iterations
+        ```
     """
     results = []
     if not isinstance(device, torch.device):