Adapt get_pretrained_cfg with towhee of lower version

Signed-off-by: Jael Gu <mengjia.gu@zilliz.com>

isc.py

@@ -30,7 +30,14 @@ import torch
 from torch import nn
 from PIL import Image as PILImage
 from timm.data import create_transform
-from timm.models import create_model, get_pretrained_cfg
+from timm import create_model
+
+try:
+    from timm.models import get_pretrained_cfg
+except ImportError:
+    from timm.models.registry import _model_default_cfgs
+    def get_pretrained_cfg(model_name):
+        return _model_default_cfgs[model_name]
 
 warnings.filterwarnings('ignore')
 log = logging.getLogger('isc_op')
@@ -80,12 +87,12 @@ class Isc(NNOperator):
         self.model = Model(self.timm_backbone, checkpoint_path, self.device)
 
         self.tfms = create_transform(
-                input_size=img_size,
-                interpolation=self.config['interpolation'],
-                mean=self.config['mean'],
-                std=self.config['std'],
-                crop_pct=self.config['crop_pct']
-            )
+            input_size=img_size,
+            interpolation=self.config['interpolation'],
+            mean=self.config['mean'],
+            std=self.config['std'],
+            crop_pct=self.config['crop_pct']
+        )
 
     def __call__(self, data: Union[List['towhee.types.Image'], 'towhee.types.Image']):
         if not isinstance(data, list):