FIx downstream impact by the replacement of torch.load in ultralytics package (#13623)

* Update torch_load

* Auto-format by https://ultralytics.com/actions

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Co-authored-by: UltralyticsAssistant <web@ultralytics.com>

models/experimental.py

@@ -6,6 +6,7 @@ import math
 import numpy as np
 import torch
 import torch.nn as nn
+from ultralytics.utils.patches import torch_load
 
 from utils.downloads import attempt_download
 
@@ -95,7 +96,7 @@ def attempt_load(weights, device=None, inplace=True, fuse=True):
 
     model = Ensemble()
     for w in weights if isinstance(weights, list) else [weights]:
-        ckpt = torch.load(attempt_download(w), map_location="cpu")  # load
+        ckpt = torch_load(attempt_download(w), map_location="cpu")  # load
         ckpt = (ckpt.get("ema") or ckpt["model"]).to(device).float()  # FP32 model
 
         # Model compatibility updates