Link fuse() to AutoShape() for Hub models (#8599)

hubconf.py

@@ -36,7 +36,6 @@ def _create(name, pretrained=True, channels=3, classes=80, autoshape=True, verbo
 
     if not verbose:
         LOGGER.setLevel(logging.WARNING)
-
     check_requirements(exclude=('tensorboard', 'thop', 'opencv-python'))
     name = Path(name)
     path = name.with_suffix('.pt') if name.suffix == '' and not name.is_dir() else name  # checkpoint path
@@ -44,7 +43,7 @@ def _create(name, pretrained=True, channels=3, classes=80, autoshape=True, verbo
         device = select_device(device)
 
         if pretrained and channels == 3 and classes == 80:
-            model = DetectMultiBackend(path, device=device)  # download/load FP32 model
+            model = DetectMultiBackend(path, device=device, fuse=autoshape)  # download/load FP32 model
             # model = models.experimental.attempt_load(path, map_location=device)  # download/load FP32 model
         else:
             cfg = list((Path(__file__).parent / 'models').rglob(f'{path.stem}.yaml'))[0]  # model.yaml path