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ultralytics/engine/exporter.py

@@ -299,7 +299,7 @@ class Exporter:
             y = model(im)  # dry runs
         if self.args.half and onnx and self.device.type != "cpu":
             im, model = im.half(), model.half()  # to FP16
-            
+
         if mct and "C2f" not in model.__str__():
             raise ValueError("MCT export is only supported for YOLOv8 detection models")
 

ultralytics/utils/benchmarks.py

@@ -91,9 +91,9 @@ def benchmark(
     t0 = time.time()
     for i, (name, format, suffix, cpu, gpu) in enumerate(zip(*export_formats().values())):
         emoji, filename = "❌", None  # export defaults
-        print("%"*50)
+        print("%" * 50)
         print(i, name, format, suffix, cpu, gpu)
-        print("%"*50)
+        print("%" * 50)
         try:
             # Checks
             if i == 7:  # TF GraphDef